CRANberries

Wed, 28 Oct 2026

New package lczexplore with initial version 0.1.1
Package: lczexplore
Title: Imports, Visualizes, Compares and Explores Maps of Local Climate Zones
Version: 0.1.1
Description: Easily import and visualize local climate zone maps with standard encoding. Compare two or more maps, and group some LCZ types according to user defined grouping vectors. Explore their differences through circular visualization and indicators. For more Details see Gousseff et al (2023) "lczexplore: an R package to explore Local Climate Zone classifications" <doi:10.21105/joss.05445>.
License: LGPL (>= 3)
Encoding: UTF-8
Imports: circlize, collapse, data.table, dplyr, forcats, ggnewscale, ggplot2, grDevices, ggspatial, ggsankeyfier, jsonlite, magrittr, methods, patchwork, randomcoloR, RColorBrewer, sf, shades, terra, tidyr, units
Suggests: knitr, markdown, rmarkdown, tinytest, png
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2026-10-19 08:44:34 UTC; gousseff
Author: Matthieu Gousseff [aut, cre, cph]
Maintainer: Matthieu Gousseff <matthieu.gousseff@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-10-28 12:30:02 UTC

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New package dgtf with initial version 0.1.0
Package: dgtf
Title: Variational and Monte Carlo Inference for Bayesian State-Space Models of Count Data
Version: 0.1.0
Description: Bayesian inference for a general class of state-space models for count data, providing a unified interface to variational Bayes and Markov chain Monte Carlo. Models are assembled from modular components for the observation distribution, link function, gain function, lag distribution, system equation, and system error, and support Poisson and negative binomial observations together with seasonality terms. The model class and the hybrid variational approximation are described in Tang and Prado (2026) <doi:10.1016/j.csda.2026.108368>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: C++17
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.10), stats, utils, graphics, grDevices, ggplot2 (>= 3.3.0)
LinkingTo: Rcpp, RcppArmadillo, BH, RcppProgress, pg
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, EpiEstim
URL: https://github.com/minimeini/dgtf
BugReports: https://github.com/minimeini/dgtf/issues
VignetteBuilder: knitr
Packaged: 2026-10-19 08:37:18 UTC; meinitang
Author: Meini Tang [aut, cre] , Raquel Prado [aut]
Maintainer: Meini Tang <meini.tang@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 12:20:12 UTC

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New package cafast with initial version 0.1.0
Package: cafast
Title: Fast Companions to the 'CAs' Package for Covering Arrays
Version: 0.1.0
Description: Compiled implementations and generalizations of selected functions of the 'CAs' package by Ulrike Groemping for covering arrays. The package provides a C version of the search for the largest set of rows that can be made constant by permuting symbols, the power construction of Colbourn and Torres-Jimenez (2010) <doi:10.1090/conm/523/10309> for any strength, number of columns and number of levels, a counting kernel that tabulates value tuples for every set of t columns, and fast versions of the flexible-value tools and of the randomized post-optimization of Nayeri, Colbourn and Konjevod (2013) <doi:10.1016/j.ejc.2012.07.017>. Each function was tested against its 'CAs' counterpart, and the remaining differences are documented.
License: GPL (>= 3)
URL: https://github.com/chrispbsmolen/ca-tools
BugReports: https://github.com/chrispbsmolen/ca-tools/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0)
Imports: CAs
Suggests: caverify, lhs
NeedsCompilation: yes
Packaged: 2026-10-18 02:52:21 UTC; axviam
Author: Christopher Smolen [aut, cre]
Maintainer: Christopher Smolen <chrispbsmolen@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 12:30:10 UTC

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New package saydo with initial version 0.1.0
Package: saydo
Title: Link What People Say to What They Do with LLM-Coded Themes
Version: 0.1.0
Description: Measures the say-do gap in mixed-methods data: whether themes in what people say go with differences in what they do. Codes free text against a codebook with large language models through 'ellmer', or any coder function, and validates the codes against a human-coded sample with Cohen's kappa, precision and recall. Links the codes to participants' behavioural or outcome data, aggregating segment-level transcripts to participants where needed, and tests each theme against each metric with Welch's t-test and multiple-comparison adjustment. Developed by Neudata Consulting Ltd.
License: MIT + file LICENSE
URL: https://neu-data.github.io/saydo/, https://github.com/neu-data/saydo
BugReports: https://github.com/neu-data/saydo/issues
Depends: R (>= 4.1)
Imports: cli, ellmer (>= 0.3.0), ggplot2 (>= 3.5.0), rlang, stats, tibble, withr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-18 12:42:01 UTC; hp
Author: Bernard Isekah Osangir [aut, cre], Neudata Consulting Ltd [cph, fnd]
Maintainer: Bernard Isekah Osangir <b.osangir@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 12:00:02 UTC

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New package RDelta with initial version 0.1.0
Package: RDelta
Title: Parse and Query DELTA-Format Taxonomic Descriptions
Version: 0.1.0
Date: 2026-10-18 # Update to current date
Maintainer: Mauro Cavalcanti <maurobio@gmail.com>
Description: Provides an R interface to the 'tDelta' C++ library for parsing DELTA (DEscription Language for TAxonomy) format files <https://freedelta.sourceforge.net>. Supports loading character lists, item descriptions, and specifications, with efficient searching and matching of items based on character values. It also supports the generation of identification keys, diagnoses, natural-language descriptions, and clustering and ordination analyses by means of the DELTA programs 'CONFOR', 'KEY', and 'DIST'.
License: GPL (>= 3)
URL: https://github.com/maurobio/rdelta
BugReports: https://github.com/maurobio/rdelta/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), graphics, methods, stats, utils
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: C++17
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-18 12:25:11 UTC; mauro
Author: Mauro Cavalcanti [aut, cre] , Edinaldo Nelson dos Santos Silva [ctb]
Repository: CRAN
Date/Publication: 2026-10-28 11:10:18 UTC

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New package RASbound with initial version 0.0.1
Package: RASbound
Title: Bounded RAS / Biproportional Matrix Balancing with Cell-Level Constraints
Version: 0.0.1
Description: Implements the RAS method for adjusting a matrix to match target row and column totals. In RAS, a matrix A is multiplied on the left by a diagonal matrix R and on the right by a diagonal matrix S, which gives the method its name. It is also known as biproportional matrix balancing, iterative proportional fitting (IPF) or raking. The package extends it with lower and upper bounds on individual cells. Provides several algorithmic variants for handling bound violations: hard cell-freezing with simultaneous, sequential, or hybrid fixation; two dependency-free clamp-and-compensate heuristics (proportional redistribution and iterative renormalization); and a naive unconstrained-recompute baseline; together with thin wrapper functions exposing equivalent bounded-calibration methods from the 'survey' package under a common interface. Intended for updating or regionalizing input-output tables, social accounting matrices (SAMs), and other applications where classic RAS/IPF is used but cell-level [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: stats, graphics, grDevices, utils
Suggests: survey, MASS, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/JMPavia/RASbound
BugReports: https://github.com/JMPavia/RASbound/issues
NeedsCompilation: no
Packaged: 2026-10-18 16:59:08 UTC; pavia
Author: Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2026-10-28 11:30:10 UTC

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New package psdea with initial version 1.0.0
Package: psdea
Title: Data Envelopment Analysis with User-Defined and Learned Reference Sets
Version: 1.0.0
Author: Jiachao Peng [aut, cre]
Maintainer: Jiachao Peng <jiachao.peng@wit.edu.cn>
Description: Slacks-based data envelopment analysis for panel data in which the reference set is an explicit argument. A user-supplied weight matrix, or a matrix learned from the data by penalised non-negative reconstruction, selects the units that may enter each decision-making unit's frontier. The package reports the unrestricted and the restricted score, the ratio of the two and an exact decomposition of the shortfall into the part the restricted technology can remove and the part it cannot. Moran's I and local indicators of spatial association are provided as diagnostics. All linear programs are solved by a two-phase simplex with Bland's rule implemented in R, so the package needs no compiler.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-18 12:52:49 UTC; jiach
Repository: CRAN
Date/Publication: 2026-10-28 11:10:02 UTC

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New package PortinariColors with initial version 0.3.0
Package: PortinariColors
Title: Color Palettes Inspired by the Paintings of Candido Portinari
Version: 0.3.0
Description: Color palettes inspired by paintings of Candido Portinari held by the Sao Paulo Museum of Art (MASP) and by his Guerra (War) and Paz (Peace) panels at the United Nations Headquarters. Provides qualitative, diverging and sequential palettes for discrete and continuous data, ready-made 'ggplot2' color and fill scales, and a colorblind-safety check that simulates protanopia, deuteranopia and tritanopia following Machado, Oliveira and Fernandes (2009) <doi:10.1109/TVCG.2009.113>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://rafalopespx.github.io/PortinariColors/, https://github.com/rafalopespx/PortinariColors
BugReports: https://github.com/rafalopespx/PortinariColors/issues
Imports: ggplot2 (>= 3.4.0), grDevices, graphics, stats, utils
Suggests: spelling, testthat (>= 3.1.5)
NeedsCompilation: no
Packaged: 2026-10-18 17:18:16 UTC; rl957
Author: Rafa Lopes [aut, cre]
Maintainer: Rafa Lopes <lopes1313@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:30:15 UTC

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New package multipathaic with initial version 0.1.3
Package: multipathaic
Title: Multi-Path Stepwise Selection with AIC
Version: 0.1.3
Description: Implements a multi-path forward selection algorithm using the Akaike Information Criterion (AIC) for both linear (Gaussian) and logistic (binomial) regression models. Unlike traditional stepwise methods that follow a single path, this approach explores multiple competitive model paths simultaneously by retaining near-optimal models at each step. The package includes stability estimation via bootstrap resampling and identifies plausible models based on AIC tolerance and variable stability thresholds. The information criterion is described by Akaike (1974) <doi:10.1109/TAC.1974.1100705>, and bootstrap resampling by Efron (1979) <doi:10.1214/aos/1176344552>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, utils
Suggests: lars, knitr, rmarkdown, shiny, shinydashboard, plotly, DT, ggplot2, readxl, htmltools, kableExtra
VignetteBuilder: knitr
URL: https://github.com/mobuobi/multipathaic
BugReports: https://github.com/mobuobi/multipathaic/issues
NeedsCompilation: no
Packaged: 2026-10-18 15:04:53 UTC; michael
Author: Michael Obuobi [aut, cre]
Maintainer: Michael Obuobi <obuobimichael25@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:50:02 UTC

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New package lepidoptera with initial version 0.1.2
Package: lepidoptera
Title: Domain-Agnostic Causal Simulation Engine with Mixed Variable Types
Version: 0.1.2
Description: A domain-agnostic simulation engine for structural causal models with heterogeneous variable types. Users define systems of continuous, categorical, and ordinal features, declare a directed acyclic graph (DAG) over them, attach typed generative mechanisms to each node, and simulate synthetic populations. A pre-built mechanism library covers all nine parent-type/child-type combinations. Vine copula mechanisms estimate full joint dependence from observed data via pair-copula constructions (Bedford and Cooke, 2002) <doi:10.1214/aos/1031689014>. Individual-level counterfactual queries are supported through partial propagation, which freezes unaffected random draws and resamples only the downstream subgraph, enabling individual treatment effect (ITE) estimation alongside population-level average treatment effects (ATE). Any pre-fitted predictive model can serve as a generative mechanism through three wrapper functions. Systems serialise to JSON for cross-language portability with the [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/danilosarti/lepidoptera
BugReports: https://github.com/danilosarti/lepidoptera/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats
Suggests: testthat (>= 3.0.0), igraph, rvinecopulib (>= 0.6.0), jsonlite, yaml, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-16 16:05:38 UTC; danilosarti
Author: Danilo Sarti [aut, cre]
Maintainer: Danilo Sarti <danilosarti@rcsi.ie>
Repository: CRAN
Date/Publication: 2026-10-28 11:40:02 UTC

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New package hairline with initial version 0.1.0
Package: hairline
Title: Clean, Predictable Figures for Medical and Data Science
Version: 0.1.0
Description: A design system for 'ggplot2' figures: one frame for titles, legends, panels and captions, a fixed spacing and type scale, colour-vision checked palettes, brand files in the 'brand.yml' format, and print-ready export. Produces output matching the 'hairline' Python package.
License: MIT + file LICENSE
URL: https://github.com/schradern/hairline
BugReports: https://github.com/schradern/hairline/issues
Copyright: The bundled 'Hairline Sans' font is a modified Public Sans, Copyright 2015 The Public Sans Project Authors, under the SIL Open Font License 1.1; see inst/COPYRIGHTS.
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: S7, ggplot2 (>= 4.0.0), grid, grDevices, jsonlite, ragg, rlang, systemfonts, textshaping, tools, utils, yaml
Suggests: cowplot, metafor, patchwork, png, rsvg, survival, svglite, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-10-19 05:17:30 UTC; nschrader
Author: Nikolas Schrader [aut, cre, cph]
Maintainer: Nikolas Schrader <hi@nikolasschrader.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:50:08 UTC

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New package evgmrf with initial version 0.1.0
Package: evgmrf
Title: Gaussian Markov Random Field Models for Extreme Values
Version: 0.1.0
Description: Fitting extreme value distributions with parameters that vary according to Gaussian Markov random fields (GMRFs). For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GMRFs see Rue, H., & Held, L. (2005) <doi:10.1201/9780203492024>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.10), Matrix (>= 1.6-0), methods, lattice, gridExtra, sparseinv
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, Matrix
NeedsCompilation: yes
Packaged: 2026-10-16 13:52:21 UTC; ben
Author: Ben Youngman [aut, cre] , Ayu Shabrina [aut, ctb]
Maintainer: Ben Youngman <b.youngman@exeter.ac.uk>
Repository: CRAN
Date/Publication: 2026-10-28 11:20:15 UTC

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New package creditratingsystem with initial version 0.1.0
Package: creditratingsystem
Title: Offline Credit Risk Modelling, Calibration and Validation
Version: 0.1.0
Description: Native credit risk calculations, statistical estimation, calibration, validation and cash flow simulation using local structured data. Methods cover consumer and business lending with explicit modelling assumptions, diagnostics and reproducible reference data.
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 4.1.2)
Imports: stats, utils, jsonlite, digest, lpSolve, Matrix, survival, glmnet, MASS, e1071, brglm2, splines, xgboost, copula, mvtnorm, vars, urca, KFAS
Suggests: testthat, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-10-16 14:09:40 UTC; qwert123
Author: RiskDataScience GmbH [aut, cph], Dimitrios Geromichalos [cre]
Maintainer: Dimitrios Geromichalos <riskdatascience@web.de>
Repository: CRAN
Date/Publication: 2026-10-28 11:20:21 UTC

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New package bartisan with initial version 0.1.0
Package: bartisan
Title: Generalized Bayesian Additive Regression Trees
Version: 0.1.0
Description: Fits Bayesian additive regression trees (BART) models for likelihoods outside the conditionally conjugate Gaussian case, using the Laplace-approximation reversible-jump sampler of Linero (2025) <doi:10.1080/01621459.2024.2337156>. Supported response families include Gaussian, binomial, Poisson, negative binomial, gamma, beta, ordered beta, ordinal (cumulative link), multinomial, zero-inflated counts, a Tweedie compound Poisson for a non-negative response with a point mass at zero, accelerated failure time and proportional hazards models for right-censored survival data, location-scale regression, and a Dirichlet process mixture for the error distribution. Decision rules may be hard, as in standard BART, or soft, as in the SoftBart model of Linero and Yang (2018) <doi:10.1111/rssb.12293>, which yields smoother fits. The interface follows that of glm(), so that a model is specified with a formula, a data frame, and a family.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: arg (>= 0.2.1), cli (>= 3.6.4), rlang (>= 1.2.0), Matrix, Rcpp (>= 1.1.2), parallel, reformulas (>= 0.4.4), ggplot2 (>= 4.0.1), stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: bayesplot, cobalt, collapse, future, future.apply, insight, knitr, loo, MASS, marginaleffects, nlme, lme4, patrick (>= 0.3.0), performance, posterior, progressr, rmarkdown, rstanarm, rstantools, survival, testthat (>= 3.0.0), WeightIt
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/ngreifer/bartisan, https://ngreifer.github.io/bartisan/
BugReports: https://github.com/ngreifer/bartisan/issues
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-18 18:33:17 UTC; NoahGreifer
Author: Noah Greifer [aut, cre, cph] , Antonio R. Linero [ctb, cph] , from which the MCMC engine is adapted)
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:40:07 UTC

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New package awscrt with initial version 0.1.1
Package: awscrt
Title: Hardware-Accelerated 'CRC Checksums' from the AWS Common Runtime
Version: 0.1.1
Description: Computes 'CRC32', 'CRC32C' and 'CRC64NVME' 'checksums' using the 'aws-checksums' library from the 'AWS' Common Runtime, with runtime dispatch to hardware instructions ('SSE4.2', 'PCLMULQDQ', 'AVX-512', 'ARMv8' 'CRC' and 'PMULL') and a portable software fallback.
License: Apache License (>= 2)
URL: https://github.com/paws-r/aws-crt-r, https://paws-r.r-universe.dev/awscrt
BugReports: https://github.com/paws-r/aws-crt-r/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
SystemRequirements: GNU make, C compiler
NeedsCompilation: yes
Packaged: 2026-10-18 17:30:32 UTC; Dyfan.Jones
Author: Dyfan Jones [aut, cre], Amazon.com, Inc. or its affiliates [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:40:16 UTC

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New package AURMC with initial version 0.5.0
Package: AURMC
Title: Area Under the Repeated Measures Curve
Version: 0.5.0
Description: Estimates and compares areas under curves formed by repeatedly measured outcomes observed subject to censoring and a terminal event. Implements Kaplan-Meier adjustment for censoring, influence-function standard errors, Wald inference, and multiplier perturbation inference, with utilities for interpolation, simulation, tabulation, and plotting. For additional details, see: McCaw ZR, Armbruster S, Tian L, Claggett BL, Fitzmaurice G, Foà A, Pfeffer MA, Wei LJ (2026) <doi:10.1016/j.jchf.2026.103013>.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, markdown, rmarkdown, testthat (>= 3.0.0), withr
LinkingTo: RcppArmadillo, Rcpp
Imports: cowplot, dplyr, ggplot2, methods, Rcpp, tibble
VignetteBuilder: knitr
URL: https://github.com/zrmacc/AURMC
BugReports: https://github.com/zrmacc/AURMC/issues
NeedsCompilation: yes
Packaged: 2026-10-16 17:07:16 UTC; zmccaw
Author: Zachary McCaw [aut, cre]
Maintainer: Zachary McCaw <zmccaw@alumni.harvard.edu>
Repository: CRAN
Date/Publication: 2026-10-28 11:40:28 UTC

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New package ASmiR with initial version 0.1.1
Package: ASmiR
Title: Prediction of Abiotic Stress-Specific miRNAs in Plants
Version: 0.1.1
Description: Provides functions for predicting plant microRNAs (miRNAs) associated with cold, drought, heat, and salt stress using the ASmiR machine learning framework. Implements PseKNC feature generation and stress-specific support vector machine models described by Pradhan et al. (2023), "ASmiR: a machine learning framework for prediction of abiotic stress-specific miRNAs in plants", Functional & Integrative Genomics, 23(2), article 92, <doi:10.1007/s10142-023-01014-2>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Biostrings, e1071, stats
Suggests: testthat (>= 3.0.0)
SystemRequirements: Python (>= 3.7)
NeedsCompilation: no
Packaged: 2026-10-16 14:51:20 UTC; dell
Author: Upendra Kumar Pradhan [aut, cre] , Prabina Kumar Meher [aut]
Maintainer: Upendra Kumar Pradhan <upendra.iasri@icar.org.in>
Repository: CRAN
Date/Publication: 2026-10-28 11:20:32 UTC

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New package actuarialfitdist with initial version 0.2.3
Package: actuarialfitdist
Title: Actuarial Severity Fitting with Limits and Deductibles
Version: 0.2.3
Description: Fits actuarial claim severity distributions to ground-up loss data while accounting for deductible truncation, policy-limit censoring, observation weights, optional severity scaling variables, and fixed parameters. Supports single-family and spliced body-tail models, candidate-model comparison, limited expected values, loss elimination ratios, increased limits factors, deductible and limit rating factors, valuation or depreciation adjustments, simulation, diagnostics, and uncertainty estimation. The package is designed for property and casualty actuarial applications in which analysts fit ground-up severity and translate the fitted distribution into pricing factors for limits, deductibles, and valuation provisions. For background on statistical severity modeling, see Klugman, Panjer, and Willmot (2019, ISBN:9781119523789), "Loss Models: From Data to Decisions", 5th edition.
License: MIT + file LICENSE
URL: https://github.com/gs-actuary/actuarialfitdist
BugReports: https://github.com/gs-actuary/actuarialfitdist/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, scales, stats, utils
Suggests: fitdistrplus, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-18 22:57:54 UTC; yagre
Author: Greg Sollenberger [aut, cre, cph]
Maintainer: Greg Sollenberger <yagreg7@yahoo.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:50:16 UTC

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New package tppcm with initial version 0.1.0
Package: tppcm
Title: Step Discriminations for the Two-Parameter Partial Credit Model on Top of 'TAM'
Version: 0.1.0
Description: In the two-parameter partial credit model (TPPCM) of Yu (1991) <https://hdl.handle.net/2142/21459>, every step of a polytomous item has its own discrimination. Estimation is left to existing software: 'TAM' (tam.mml.3pl() with a step design matrix, tam.mml.2pl(), tam.mml()) and, for the bilinear product form and non-negativity constraints, 'sirt' (xxirt()). The package adds what these packages do not provide: standard errors of step discriminations based on the full observed information, step-level Wald tests, and score tests with modification indices and expected parameter changes for moving down the model ladder saturated TPPCM -> product form -> generalized partial credit model -> partial credit model, limited-information fit statistics (the M2 statistic, root mean square error of approximation, standardized root mean squared residual, comparative fit index and Tucker-Lewis index; Maydeu-Olivares and Joe (2006) <doi:10.1007/s11336-005-1295-9>) for any step desig [...truncated...]
License: GPL (>= 2)
URL: https://github.com/jiewenTsai/tppcm
BugReports: https://github.com/jiewenTsai/tppcm/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1), TAM
Imports: CDM, graphics, MASS, sirt, stats
Suggests: knitr, mirt, numDeriv, partykit, psychotools, psychotree, rmarkdown, strucchange, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-16 13:44:45 UTC; jiewentsai
Author: Jie-Wen Tsai [aut, cre]
Maintainer: Jie-Wen Tsai <tsai.jiewen@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:00:02 UTC

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New package RidgeLRGLH with initial version 0.1.0
Package: RidgeLRGLH
Title: Ridge-Regularized Largest Root Tests for General Linear Hypotheses
Version: 0.1.0
Description: Tests general linear hypotheses in high-dimensional multivariate regression using a ridge-regularized largest root statistic. Estimates the population spectral distribution by linear programming and computes Tracy-Widom centering and scaling constants. Supports fixed, Bayesian, and minimax regularization choices. Implements the methods of Li (2025) <doi:10.48550/arXiv.2504.15510>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lpSolve, RMTstat, stats
NeedsCompilation: no
Packaged: 2026-10-18 02:07:20 UTC; haoranli
Author: Haoran Li [aut, cre]
Maintainer: Haoran Li <hzl0152@auburn.edu>
Repository: CRAN
Date/Publication: 2026-10-28 10:30:27 UTC

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New package rd2dnet with initial version 0.1.0
Package: rd2dnet
Title: Boundary Discontinuity Designs on Networks
Version: 0.1.0
Description: Estimation and inference for boundary discontinuity designs on street networks. Extends the location-based framework of 'rd2d' (Cattaneo, Titiunik and Yu, <doi:10.48550/arXiv.2505.07989>) from Euclidean coordinates to network-native coordinates (signed network distance to the boundary and offset along it) and user-defined network metrics (edge costs, travel time, road-class transition penalties, precomputed matrices). Provides side-specific local polynomial estimates of boundary average treatment effect curves with robust bias-corrected inference (Calonico, Cattaneo and Titiunik, 2014, <doi:10.3982/ECTA11757>), uniform confidence bands, weighted and largest aggregate effects, fuzzy designs, covariates, derivative targets, heteroskedasticity-robust, cluster and network Conley (1999, <doi:10.1016/S0304-4076(98)00084-0>) standard errors, a port of the 'rd2d' direct plug-in bandwidth selector, and a network-normalised version of the local polynomial density test of Cattan [...truncated...]
License: GPL-3
URL: https://github.com/zwinship/rd2dnet
BugReports: https://github.com/zwinship/rd2dnet/issues
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, methods, Rcpp, stats, utils
LinkingTo: Rcpp
Suggests: dodgr, igraph, knitr, Matrix, osmdata, rmarkdown, sf, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-18 02:06:43 UTC; root
Author: Zach Winship [aut, cre, cph], Matias D. Cattaneo [ctb, cph] , Rocio Titiunik [ctb, cph] , Ruiqi Rae Yu [ctb, cph] , Michael Jansson [ctb, cph] , Xinwei Ma [ctb, cph]
Maintainer: Zach Winship <zachtwinship@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 10:30:08 UTC

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New package PrismR with initial version 1.0.0
Package: PrismR
Title: Pre-Modeling Statistical Audit Framework
Version: 1.0.0
Description: Introduces a statistical validation layer between data preprocessing and predictive modeling. Evaluates the statistical readiness of tabular datasets through data quality assessment, leakage detection, transformation analysis, and feature stability.
License: MIT + file LICENSE
URL: https://arshit-dv.github.io/PrismR/, https://github.com/Arshit-dv/PrismR
BugReports: https://github.com/Arshit-dv/PrismR/issues
Encoding: UTF-8
Imports: graphics, stats, utils, e1071, ggplot2, ggrepel
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-16 12:04:43 UTC; Arshit
Author: Arshit Choudhary [aut, cre, cph], Vanshika Sharma [aut, ctb], Amrit Pal [ths]
Maintainer: Arshit Choudhary <arshitchoudhary3010@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 10:50:17 UTC

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New package INLAcircular with initial version 1.0.0
Package: INLAcircular
Title: Bayesian Joint Circular Regression Using 'INLA'
Version: 1.0.0
Description: Provides a Bayesian regression framework for joint models with circular responses and covariates using integrated nested Laplace approximations, following Ye, Van Niekerk and Rue (2026) <doi:10.48550/arXiv.2602.08413>. The package supports link-adjusted von Mises likelihoods, shared latent predictors, structured latent effects, and optional LKJ-based multivariate covariance models. It also provides compiled circular densities and d/p/q/r penalized-complexity priors for von Mises, cardioid, and wrapped Cauchy concentration parameters as developed by Ye, Van Niekerk and Rue (2026) <doi:10.1177/1471082X261453677>.
License: GPL (>= 3)
URL: https://github.com/XiangYEstats/INLAcircular
BugReports: https://github.com/XiangYEstats/INLAcircular/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Imports: dplyr, stats, utils
Suggests: circular, graphpcor, INLA (>= 25.08.21), INLAtools, knitr, pkgload, rmarkdown
VignetteBuilder: knitr, rmarkdown
Additional_repositories: https://inla.r-inla-download.org/R/stable
NeedsCompilation: yes
Packaged: 2026-10-18 07:13:45 UTC; xiang
Author: Xiang Ye [aut, cre, cph], Janet Van Niekerk [aut], Haavard Rue [aut, cph], Gerard Jungman [ctb, cph] , Peter John Acklam [ctb]
Maintainer: Xiang Ye <xiang.ye@kaust.edu.sa>
Repository: CRAN
Date/Publication: 2026-10-28 10:40:08 UTC

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New package HMMscpg with initial version 1.0.0
Package: HMMscpg
Title: Hidden Markov Models and Shifted Compound Poisson-Gamma Renewal Process
Version: 1.0.0
Imports: Rdpack, methods, stats, utils, Bessel, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Description: Provides functions to define, simulate and fit hidden Markov models, hidden semi-Markov models, and their time-varying versions, to incompletely observed point process records. Such data arise when some events of an underlying point process are not recorded or are otherwise missing. The models treat the number of missing events between each pair of consecutively observed events of a point process record as a hidden process. The number of missing events may be fixed or modelled as a random variable whose distribution can vary over time. When the number of missing events is fixed, the observed event times can be modelled as a compound gamma renewal process. When it is random, the observed process is represented by a shifted compound Poisson-gamma renewal process, which may also depend on time, leading to a time-dependent shifted compound Poisson-gamma renewal process. These modelling frameworks are described in detail in Shahzadi, Wang, Parry and Bebbington (2023) <doi:10.1007/s10463- [...truncated...]
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, Rmpfr
NeedsCompilation: yes
Packaged: 2026-10-18 05:48:58 UTC; amina
Author: Amina Shahzadi [aut, cre], Ting Wang [aut]
Maintainer: Amina Shahzadi <aminashahzadi@gcu.edu.pk>
Repository: CRAN
Date/Publication: 2026-10-28 10:40:15 UTC

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New package BayesAiken with initial version 2.0.0
Package: BayesAiken
Title: Bayesian Content Validity Coefficients with Credibility Intervals
Version: 2.0.0
Date: 2026-09-24
Description: Bayesian inference for the six rating coefficients proposed by Aiken (1985) <doi:10.1177/0013164485451012> and Aiken (1989) <doi:10.1177/0013164489492003>: V (content validity), H (homogeneity), C (congruence), R (repeatability), A (rater agreement) and I (item coherence). All six are expressed as functionals of the population distribution of rating categories, so a single Dirichlet-Multinomial model yields their full posterior by push-forward. This treats each judge as one categorical observation and avoids the pseudo-replication of Beta-Binomial formulations. R is modelled on the c-by-c joint table because it is not a functional of the marginal distribution. Provides classical estimates with the correct parity correction, highest density and equal-tailed credibility intervals, posterior threshold probabilities, prior sensitivity analysis and a friendly step-by-step verbose report.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils
Suggests: testthat (>= 3.0.0), shiny, readxl, writexl, openxlsx
URL: https://github.com/jventural/BayesAiken
BugReports: https://github.com/jventural/BayesAiken/issues
NeedsCompilation: no
Packaged: 2026-10-16 13:21:58 UTC; PC
Author: Jose Ventura-Leon [aut, cre]
Maintainer: Jose Ventura-Leon <jventuraleon@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:00:18 UTC

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New package aidR with initial version 0.2.4
Package: aidR
Title: Reading and Standardizing Automated Insulin Delivery Data
Version: 0.2.4
Description: Parses the native exports of several automated insulin delivery (AID) platforms into a common, platform-independent format for continuous glucose monitoring (CGM), basal, bolus, carbohydrate, and self-monitored blood glucose (SMBG) data. Additional functions check completeness, filter, produce visualizations, and convert the data to other formats.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: readxl, tools, dplyr, lubridate, rjson, tidyr, stringr, utils, rlang, stats, graphics, iglu, hms
Suggests: knitr, rmarkdown, cgmquantify, ggplot2, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/madleina/aidR
BugReports: https://github.com/madleina/aidR/issues
NeedsCompilation: no
Packaged: 2026-10-16 12:43:03 UTC; madleina
Author: Madleina Caduff [aut, cre] , Aritz Lizoain [aut] , Diabetes Center Berne [cph, fnd]
Maintainer: Madleina Caduff <madleina.caduff@dcberne.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:00:09 UTC

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Tue, 27 Oct 2026

New package truedist with initial version 0.1.0
Package: truedist
Title: Estimating the Distribution of True Effects from Noisy Estimates
Version: 0.1.0
Description: Estimates the distribution of true effects (or any latent parameter) from estimates that each have a known, possibly different, standard error. The main function, em_smooth(), implements the smoothed EM (EMS) algorithm of Silverman, Jones, Wilson and Nychka (1990) <doi:10.1111/j.2517-6161.1990.tb01788.x> for a nonparametric mixing distribution on a grid. The smoothing uses one constant standard deviation, set from the typical standard error and the sample size.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-17 12:54:42 UTC; ph3828
Author: Paul von Hippel [aut, cre]
Maintainer: Paul von Hippel <ph3828@eid.utexas.edu>
Repository: CRAN
Date/Publication: 2026-10-27 18:30:02 UTC

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New package transformerpalettes with initial version 0.4.0
Package: transformerpalettes
Title: Color Palettes Inspired by Transformers Toys, Cartoons and Comics
Version: 0.4.0
Description: Color palettes drawn from the Transformers franchise, centered on the 1984-1989 Generation 1 toys and extending to their Generation 2 re-releases, the cartoon animation models and the Marvel comics. Covers the leaders, every member and combined form of the combiner teams (Aerialbots, Protectobots, Technobots, Constructicons, Stunticons, Combaticons, Terrorcons, Predacons, Seacons, Pretender Monsters and Breastforce), the Dinobots, the Seeker jets, Soundwave and the cassettes, the Insecticons, the 1984 Autobot cars and Mini Vehicles and the 1986 movie cast, with separate palettes for the toy, the cartoon animation model, the Marvel comic coloring and the Generation 2 re-release where each exists. Includes 'ggplot2' color and fill scales for discrete and continuous data, team palettes that take one color from each member of a combiner team, metadata linking each palette to its character, faction, team and reference page, and helpers to shortlist palettes that suit categorical, color-blin [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5)
Imports: ggplot2, grDevices, graphics, stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://bmaitner.github.io/transformerpalettes/, https://github.com/bmaitner/transformerpalettes
BugReports: https://github.com/bmaitner/transformerpalettes/issues
NeedsCompilation: no
Packaged: 2026-10-17 15:28:48 UTC; bmaitner
Author: Brian Maitner [aut, cre]
Maintainer: Brian Maitner <bmaitner@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 18:30:07 UTC

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New package ReguGLH with initial version 0.1.0
Package: ReguGLH
Title: General Linear Hypothesis Tests via Spectral Shrinkage
Version: 0.1.0
Contact: Haoran Li <haoranli1990@gmail.com> (secondary email)
Description: Implements high-dimensional general linear hypothesis tests using ridge, reciprocal cubic polynomial, and user-defined analytic spectral regularizers. Provides prior-based shrinkage selection and Gaussian maximum calibration for composite tests. Implements the methods of Li, Aue and Paul (2020), "High-dimensional general linear hypothesis tests via non-linear spectral shrinkage", Bernoulli, 26(4), 2541-2571 <doi:10.3150/19-BEJ1186>.
License: GPL-3
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-10-17 22:07:23 UTC; haoranli
Author: Haoran Li [aut, cre]
Maintainer: Haoran Li <hzl0152@auburn.edu>
Repository: CRAN
Date/Publication: 2026-10-27 18:40:08 UTC

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New package radiatR with initial version 0.1.3
Package: radiatR
Title: Analyse and Visualise Headings and Trajectories on the Unit Disk
Version: 0.1.3
Description: A complete pipeline for analysing directional data -- headings and trajectories on the unit disk. Supply a table of angles directly, or reconstruct headings from movement trajectories imported from tracking tools ('EthoVision', 'DeepLabCut', 'SLEAP', 'TRex', 'ANY-maze', 'TrackMate', 'idtracker.ai', and others) via a unified dialect-based loader system, including multi-bodypart pose estimation with likelihood-weighted centroid. Derives per-trial heading directions using multiple rules (ring-crossing, distal point, pose body-axis, velocity-based, and more). Computes circular statistics including mean direction, resultant length, von Mises and wrapped Cauchy parametric fits, circular correlation (circular-linear and circular-circular), circular-linear regression (Fisher and Lee (1992) <doi:10.2307/2532334>), model selection among orientation models (Fitak and Johnsen (2017) <doi:10.1242/jeb.167056>), and uniformity and multi-sample hypothesis tests (Rayleigh, Watson-Williams, [...truncated...]
URL: https://johnkirwan.github.io/radiatR/, https://github.com/JohnKirwan/radiatR
BugReports: https://github.com/JohnKirwan/radiatR/issues
License: GPL (>= 3)
Copyright: file inst/COPYRIGHTS
Encoding: UTF-8
Language: en-GB
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Imports: rlang, ggplot2, tibble, vctrs, circular, methods, utils, stats
Suggests: bpDir, dplyr (>= 1.0.0), testthat (>= 3.2.0), knitr, rmarkdown, ggrepel, arrow, data.table (>= 1.14.0), jsonlite, readr, readxl, yaml, withr, writexl, shiny (>= 1.7.0), bslib (>= 0.5.0), pkgload, png, jpeg, svglite, shinytest2, chromote, CircMLE, vdiffr, sphunif
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-17 11:54:15 UTC; jdk
Author: John D. Kirwan [aut, cre, cph], A. & M.W. Mathis Labs [cph] , Talmo Pereira [cph] , The Trustees of Princeton University [cph]
Maintainer: John D. Kirwan <john@jkirwan.org>
Repository: CRAN
Date/Publication: 2026-10-27 18:20:02 UTC

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New package nesstarR with initial version 0.1.0
Package: nesstarR
Title: Read and Export 'Nesstar' Binary Files
Version: 0.1.0
Description: Reads '.Nesstar' binary files into data frames. '.Nesstar' is the file format of 'Nesstar Publisher', survey documentation software from the International Household Survey Network <https://www.ihsn.org/node/557>. Statistical agencies, for example the Ministry of Statistics and Programme Implementation ('MoSPI', India), publish survey microdata in this format.
License: MIT + file LICENSE
URL: https://nesstarr.saketlab.org, https://github.com/saketkc/nesstarR
BugReports: https://github.com/saketkc/nesstarR/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: tools, utils
Suggests: haven, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-17 16:26:34 UTC; mcclintock
Author: Saket Choudhary [aut, cre, cph]
Maintainer: Saket Choudhary <saketc@iitb.ac.in>
Repository: CRAN
Date/Publication: 2026-10-27 18:40:02 UTC

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New package glyospalettes with initial version 0.3.0
Package: glyospalettes
Title: Color Palettes Inspired by Glyos Colorways
Version: 0.3.0
Description: Color palettes based on the named colorways of the Glyos toy system: Onell Design's Glyos System Series and the Glyos-compatible lines from partner companies such as TheGodBeast, Spy Monkey Creations, Toyfinity and the Four Horsemen. Includes 'ggplot2' color and fill scales for discrete and continuous data, metadata linking each palette to its company and product line, helpers to shortlist palettes that suit categorical, color-blind-safe, sequential or diverging use, and tools to combine palettes (one color per colorway) or pick the most distinguishable colors from a pool for a light, dark or grayscale plot. Hex values are approximations curated from product photography. This is a fan project and is not affiliated with or endorsed by any of the companies.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5)
Imports: ggplot2, grDevices, graphics, stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://bmaitner.github.io/glyospalettes/, https://github.com/bmaitner/glyospalettes
BugReports: https://github.com/bmaitner/glyospalettes/issues
NeedsCompilation: no
Packaged: 2026-10-17 15:32:26 UTC; bmaitner
Author: Brian Maitner [aut, cre]
Maintainer: Brian Maitner <bmaitner@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 18:30:14 UTC

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New package zuxml with initial version 0.1.0
Package: zuxml
Title: Small XML Parser and Document Tree
Version: 0.1.0
Description: Reads, navigates, and writes XML documents using a bundled copy of the 'Expat' parser (<https://libexpat.github.io/>), so that no system XML library is required. Documents are parsed into a faithful immutable tree exposed through a small vectorized navigation interface. Parsing is strict by default: document type declarations are rejected, external entity resolution is not compiled in, and configurable limits bound nesting depth and memory use. A registered C interface allows other packages to parse XML without linking against the parser themselves, and to feed it incrementally so that a large document need not be held in memory all at once.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS.
URL: https://github.com/pedrobtz/zuxml, https://pedrobtz.github.io/zuxml/
BugReports: https://github.com/pedrobtz/zuxml/issues
Depends: R (>= 4.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-17 08:36:28 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Clark Cooper [ctb] , Fred L. Drake, Jr. [ctb] , Greg Stein [ctb] , James Clark [ctb] , Karl Waclawek [ctb] , Rhodri James [ctb] , Sebastian Pipping [ctb] , Steven Solie [ctb] , William Ahern [ctb] ), Jean-Philippe Auma [...truncated...]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 18:00:02 UTC

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New package TTM with initial version 0.1.0
Package: TTM
Title: Terminal Trend Models on the Retrospective Time Scale
Version: 0.1.0
Description: Fits retrospective-time longitudinal models for terminal trend analysis using weighted generalized estimating equations and related joint modeling tools. The package provides functions to estimate spline-based baseline and treatment effect trajectories on the retrospective time scale, obtain pointwise confidence intervals, and visualize fitted trajectories.
License: GPL-2
URL: https://github.com/TChang-W/TTM
BugReports: https://github.com/TChang-W/TTM/issues
Depends: R (>= 4.4.0)
Imports: dplyr, geepack, geer, ggplot2 (>= 3.4.0), lme4, magrittr, splines, stats, survival, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-16 20:46:40 UTC; wtc_a
Author: Tingchang Wang [aut], Zhigang Li [aut, cre]
Maintainer: Zhigang Li <zhigang.li@ufl.edu>
Repository: CRAN
Date/Publication: 2026-10-27 17:10:09 UTC

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New package pyrt with initial version 0.1.0
Package: pyrt
Title: Runtime Support for Converted 'Python' Packages
Version: 0.1.0
Description: Provides the 'Python' runtime semantics required by 'R' packages generated with 'pyport', including reference-semantics containers, class and method-resolution-order dispatch, exception hierarchies, iteration and slicing helpers, arbitrary-precision integer arithmetic, and bit-exact random number generation.
License: MIT + file LICENSE
URL: https://github.com/lauyeehow1986-hub/r_python_converter
BugReports: https://github.com/lauyeehow1986-hub/r_python_converter/issues
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: gmp (>= 0.7-1), R6 (>= 2.5.1), stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-17 11:11:04 UTC; lauye
Author: Yee How Lau [aut, cre, cph]
Maintainer: Yee How Lau <lauyeehow1986@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 18:00:08 UTC

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New package mospiR with initial version 0.1.0
Package: mospiR
Title: Client for the 'MoSPI' Microdata Portal
Version: 0.1.0
Description: Download unit-level survey microdata from the Ministry of Statistics and Programme Implementation ('MoSPI', Government of India) Microdata Portal <https://microdata.gov.in>. Provides functions to list datasets, list files within a dataset, and download individual files or entire datasets through the portal's 'NADA' API.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://mospir.saketlab.org, https://github.com/saketkc/mospiR
BugReports: https://github.com/saketkc/mospiR/issues
NeedsCompilation: no
Packaged: 2026-10-16 21:20:25 UTC; mcclintock
Author: Saket Choudhary [aut, cre]
Maintainer: Saket Choudhary <saketc@iitb.ac.in>
Repository: CRAN
Date/Publication: 2026-10-27 17:10:02 UTC

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New package cudacellr with initial version 0.4.0
Package: cudacellr
Title: GPU-Aware Single-Cell Analysis Workflows
Version: 0.4.0
Description: Provides single-cell analysis primitives for sparse count matrices, including library-size normalization, log-normalization, highly variable feature selection, principal component analysis, and nearest-neighbour construction. Integrates the 'cudaverse' numerical and sparse layers while preserving matrix identifiers and recording the computation backend for each stage. Optional adapters preserve native 'SingleCellExperiment' and 'SeuratObject' version 5 object structures.
License: MIT + file LICENSE
URL: https://cudaverse.github.io/cudacellr/, https://github.com/cudaverse/cudacellr
BugReports: https://github.com/cudaverse/cudacellr/issues
Encoding: UTF-8
Imports: cudaverse (>= 0.4.1), Matrix, methods
Suggests: DelayedArray, knitr, rmarkdown, S4Vectors, SeuratObject (>= 5.0.0), SingleCellExperiment, SummarizedExperiment, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-07 18:09:04 UTC; Li
Author: Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2026-10-27 18:00:14 UTC

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New package rpspanel with initial version 0.1.0
Package: rpspanel
Title: US State Energy-Economy Panels with Renewable Portfolio Standards
Version: 0.1.0
Description: Builds a documented, reproducible state-by-year panel for the 50 US states and the District of Columbia that combines energy consumption, prices and production from the US Energy Information Administration (EIA) State Energy Data System, electricity generation and retail sales, state energy-related carbon dioxide emissions, and state GDP, income and population from the Bureau of Economic Analysis (BEA). Data are downloaded on demand through the official APIs and cached locally, with the source, vintage and transformation of every variable recorded in a codebook. Renewable Portfolio Standard (RPS) rules are turned into standardised annual stringency indices (adoption, nominal, coverage-adjusted and incremental requirements, following Yin and Powers (2010) <doi:10.1016/j.enpol.2009.10.067>, plus design-flexibility indicators). Output works directly with the 'plm', 'fixest' and 'csdm' packages.
License: MIT + file LICENSE
URL: https://github.com/adebayomoses/rpspanel
BugReports: https://github.com/adebayomoses/rpspanel/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2 (>= 1.0.0), stats, tools, utils
Suggests: arrow, fixest, haven, knitr, plm, rmarkdown, testthat (>= 3.1.7), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-15 13:55:44 UTC; Mosdam
Author: Moses Adebayo [aut, cre, cph]
Maintainer: Moses Adebayo <adebayomoses2021@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 16:40:02 UTC

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New package ptLasso with initial version 1.0.2
Package: ptLasso
Title: Pretraining the Lasso
Description: Implements lasso pretraining for generalized linear models for data with grouped observations; data without grouped observations, but with multinomial responses; data with multiple Gaussian responses; and data with repeated measurements over time. The method fits a lasso model to an initial dataset and then uses its support and coefficient values to guide model fitting for a related task, which can improve performance by leveraging larger datasets and preserve interpretability by identifying features which are generally shared, and which are task specific. See Craig et al. (2026) <doi:10.1093/jrsssb/qkaf050> for details. Model fitting in this package is done with cv.glmnet() from the 'glmnet' package, and syntax closely follows that of 'glmnet' (Friedman, Hastie and Tibshirani (2010) <doi:10.18637/jss.v033.i01>).
Version: 1.0.2
Maintainer: Erin Craig <ercr@umich.edu>
License: GPL-2
Encoding: UTF-8
URL: https://erincr.github.io/ptLasso/, https://doi.org/10.1093/jrsssb/qkaf050
BugReports: https://github.com/erincr/ptLasso/issues
NeedsCompilation: yes
Depends: ggplot2, glmnet, gridExtra, Matrix
Suggests: knitr, rmarkdown, rpart, survival, xgboost, sparsepca, MASS, testthat
VignetteBuilder: knitr
Language: en
Packaged: 2026-10-16 20:48:46 UTC; ercr
Author: Erin Craig [aut, cre, cph] , Rob Tibshirani [aut, cph]
Repository: CRAN
Date/Publication: 2026-10-27 17:00:02 UTC

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New package mirrorslope with initial version 0.2.1
Package: mirrorslope
Title: Mirror Slope Plots for Two-Arm Clinical Trial Data
Version: 0.2.1
Description: Creates mirrored slope plots comparing two treatment arms over a single observation interval. Both arms share a common x-axis and converge at a central endpoint, making the between-arm gap the primary visual quantity. Returns standard 'ggplot2' objects for full extensibility. The display was designed by Kati Maharry and is described in Maharry and Sullivan (2026, manuscript in preparation); it was first used in the supplementary appendix of McDonald and colleagues (2026) <doi:10.1016/S0140-6736(26)01385-1>.
License: MIT + file LICENSE
URL: https://github.com/Sullivanstatistics/mirrorslope
BugReports: https://github.com/Sullivanstatistics/mirrorslope/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.0.0)
Imports: ggplot2 (>= 3.4.0), rlang (>= 1.0.0), grDevices, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, patchwork
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-16 19:47:47 UTC; asullivan
Author: Adam Sullivan [aut, cre], Capricor Therapeutics [fnd]
Maintainer: Adam Sullivan <asullivan@capricor.com>
Repository: CRAN
Date/Publication: 2026-10-27 16:50:02 UTC

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New package zigimports with initial version 0.1.0
Package: zigimports
Title: Call 'Zig' Code from R
Version: 0.1.0
Description: Loads shared libraries compiled from 'Zig' ('.so' files on Linux, '.dll' files on Windows) and binds their exported functions to R functions. Arguments are passed by value using the native calling convention, so functions with mixed integer, double, logical, string and vector arguments and with return values can be called. Also compiles and runs 'Zig' code directly from R. Compiling code requires the 'Zig' compiler.
URL: https://github.com/lokop5116/zigimports
BugReports: https://github.com/lokop5116/zigimports/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
SystemRequirements: 'Zig' compiler (>= 0.11), only needed for zig_call() and to build libraries
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-10-16 09:44:38 UTC; loko
Author: Lakshya Sharma [aut, cre], Amrit Pal [aut]
Maintainer: Lakshya Sharma <lakshya6115@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 15:20:02 UTC

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New package rapidxlsx with initial version 0.1.0
Package: rapidxlsx
Title: Fast Parallel Excel Spreadsheet Writer
Version: 0.1.0
Author: Amin Fathullah [aut, cre]
Maintainer: Amin Fathullah <amin_fathullah@yahoo.com>
Description: Serializes tabular data frames to Microsoft Excel 'OpenXML' ('xlsx') workbooks using a multi-threaded Rust core with parallel Deflate compression and zero-copy columnar memory mapping.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust toolchain)
URL: https://github.com/aminfathullah/rapidxlsx
BugReports: https://github.com/aminfathullah/rapidxlsx/issues
NeedsCompilation: yes
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2026-10-16 09:29:39 UTC; maja
Repository: CRAN
Date/Publication: 2026-10-27 15:10:02 UTC

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New package gcloglog with initial version 1.0
Package: gcloglog
Title: Methods for Fitting Binomial Models with the Generalized Complementary Log-Log Function
Version: 1.0
Date: 2026-10-16
Maintainer: Bert van der Veen <bert_van_der_veen@hotmail.com>
Description: Functionality for fitting a flexible link function in binomial regression based on a latent negative-binomial count. The original link function was proposed by Aranda-Ordaz (1981)<doi:10.1093/biomet/68.2.357>, and motivation via a negative-binomial latent count by van der Veen and Hui (in prep).
License: GPL (>= 2)
Imports: graphics, lme4, Matrix, methods, nloptr, numDeriv, stats, utils
Encoding: UTF-8
URL: https://github.com/BertvanderVeen/gcloglog
BugReports: https://github.com/BertvanderVeen/gcloglog/issues
NeedsCompilation: no
Packaged: 2026-10-16 11:36:32 UTC; bertv
Author: Bert van der Veen [aut, cre], Francis K.C. Hui [aut]
Repository: CRAN
Date/Publication: 2026-10-27 15:50:02 UTC

More information about gcloglog at CRAN
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New package enhancedTtest with initial version 0.1.0
Package: enhancedTtest
Title: Enhanced T-Test with Automatic Selection and APA Formatting
Version: 0.1.0
Description: Provides enhanced t-test functionality with automatic assumption checking, non-parametric fallbacks, effect size calculation, and APA-formatted tables that can be exported to Word documents. Supports one-sample, two-sample, and paired t-tests with intelligent test selection. Effect size interpretations follow Cohen (1988) <doi:10.4324/9780203771587> and APA formatting follows the Publication Manual of the American Psychological Association, 7th edition (2020) <doi:10.1037/0000165-000>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: car (>= 3.0-0), dplyr (>= 1.0.0), flextable (>= 0.7.0), htmltools (>= 0.5.0), nortest (>= 1.0-4), officer (>= 0.4.0), rlang (>= 1.0.0), stats, utils
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-15 12:47:34 UTC; DELL
Author: Martin Nyamu [aut, cre]
Maintainer: Martin Nyamu <analystnyamu79@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 15:20:07 UTC

More information about enhancedTtest at CRAN
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New package DynMSR with initial version 0.1.1
Package: DynMSR
Title: Connect Systems Biology and Pharmacology Formats to Simulation Backends
Version: 0.1.1
Author: Evgeny Metelkin [aut, cre]
Maintainer: Evgeny Metelkin <evgeny.metelkin@gmail.com>
Description: Provides a convenient R interface for systems-biology and systems-pharmacology models in Heta, SBML (Systems Biology Markup Language), and DynMS (Dynamic Model Specification) formats. DynMS JSON files are loaded directly; Heta projects and SBML files are converted to DynMS by an optional compatible installation of 'heta-compiler'. Models can be validated, selected from a platform, and generated or built for simulation with 'mrgsolve' as a backend.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: jsonlite, jsonvalidate, whisker
Suggests: mrgsolve, testthat (>= 3.0.0), withr
URL: https://github.com/hetalang/DynMSR
BugReports: https://github.com/hetalang/DynMSR/issues
NeedsCompilation: no
Packaged: 2026-10-16 10:28:56 UTC; evgen
Repository: CRAN
Date/Publication: 2026-10-27 15:40:02 UTC

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New package windscape with initial version 2.0.0
Package: windscape
Title: Model Landscape Connectivity by Wind
Version: 2.0.0
Description: Model landscape connectivity by wind for ecological and evolutionary analyses. Summarize long time series of gridded wind data, downloaded from reanalyses or supplied by the user, into wind roses describing directional conductance between neighboring grid cells. Model dispersal through them with least-cost path and random walk algorithms, to map windsheds around sites and estimate pairwise connectivity among them, test hypotheses relating wind to ecological data, and visualize wind and connectivity with 'ggplot2'. The approach builds on Kling and Ackerly (2020) <doi:10.1038/s41558-020-0848-3> and Kling and Ackerly (2021) <doi:10.1073/pnas.2017317118>.
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
LinkingTo: Rcpp
Imports: gdistance, Rcpp, raster, geosphere, ggplot2, igraph, magrittr, Matrix, methods, stats, tools, utils
URL: https://matthewkling.github.io/windscape/, https://github.com/matthewkling/windscape
BugReports: https://github.com/matthewkling/windscape/issues
Suggests: knitr, maps, ncdf4, rmarkdown, scales, sf, testthat (>= 3.0.0), vegan, tidyverse, withr
VignetteBuilder: knitr
Depends: R (>= 4.0.0), terra (>= 1.8-42)
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2026-10-15 16:54:06 UTC; matthewkling
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>
Repository: CRAN
Date/Publication: 2026-10-27 15:00:02 UTC

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New package sppt with initial version 1.0.0
Package: sppt
Title: Spatial Point Pattern Test for Areal Data
Version: 1.0.0
Description: Implements the area-based nonparametric spatial point pattern test of Andresen (2009) <doi:10.1016/j.apgeog.2008.12.004> for comparing two spatial distributions of events aggregated to areal units, with the applications and extensions reviewed in Andresen (2016) <doi:10.1177/2059799116630659>. Unit-level inference uses bounded Monte Carlo bootstrap p-values, with marginal confidence interval overlap retained as an option. Global similarity is summarised by the robust S index, accompanied by a test of whether two patterns are more different than two realisations of a single process, and a test of the spatial arrangement of the differences. A longitudinal extension compares each period of a time series against a base period and classifies unit-level trajectories. Publication-ready maps can be redrawn with user-chosen layouts.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Imports: classInt, ggplot2 (>= 3.5.0), ggspatial, graphics, grDevices, Matrix, rlang, scales, sf, spdep, stats, tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-16 07:21:59 UTC; andre
Author: Martin A. Andresen [aut, cre, cph]
Maintainer: Martin A. Andresen <andresen@sfu.ca>
Repository: CRAN
Date/Publication: 2026-10-27 15:00:11 UTC

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New package FrailtyPackPlus with initial version 0.1.0
Package: FrailtyPackPlus
Title: Shared, Correlated, Additive, and Zero-Inflated Frailty Models
Version: 0.1.0
Description: Fits and compares shared, correlated, additive, zero-inflated promotion cure-rate, and k-out-of-M one-shot device frailty survival models under Bayesian Markov chain Monte Carlo (MCMC) and Maximum Likelihood Estimation (MLE) frameworks. Supports ten baseline hazard distributions (Weibull, Exponential, Generalized Exponential, Exponential Power, Linear Failure Rate, Generalized Log-Logistic, Generalized Weibull, Generalized Rayleigh, Weighted Exponential, Extended Weibull) and eight frailty distributions (Gamma, Inverse Gaussian, Positive Stable, Compound Poisson, Compound Negative Binomial, Generalized Lindley, Weighted Lindley, Mixture of Inverse Gaussians). Implements reversed hazard rate (RHR) models for bivariate left-censored survival data, additive shared frailty models under random right censoring, and one-shot device reliability analysis. Provides goodness-of-fit testing, information criteria (AIC, BIC, AICc, HQIC, DIC, EAIC, EBIC, LPML), convergence diagnostics (Geweke, Gelman [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
ByteCompile: true
Depends: R (>= 4.0.0)
Imports: graphics, grDevices, MASS, methods, numDeriv, stats, survival, utils
Suggests: testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-15 22:59:12 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 14:30:02 UTC

More information about FrailtyPackPlus at CRAN
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New package fastphylosig with initial version 0.3.1
Package: fastphylosig
Title: Fast Phylogenetic Signal Statistics
Version: 0.3.1
Description: Provides one-command and method-specific workflows for phylogenetic signal in continuous, binary, and categorical traits. Compiled tree-pruning algorithms implement Blomberg's K and Pagel's lambda without constructing a dense phylogenetic covariance matrix in production. Fritz and Purvis D retains separate random and Brownian null models, while categorical Delta combines discrete ancestral-state likelihoods with MCMC and permutation diagnostics. The package also provides reusable prepared trees, explicit tree/data matching, trait-wise missing-value handling, conservative tree diagnostics, bounded simulation memory, and structured timing and Monte Carlo uncertainty metadata. Methods follow Blomberg, Garland and Ives (2003) <doi:10.1111/j.0014-3820.2003.tb00285.x> for K, Pagel (1999) <doi:10.1038/44766> for lambda, Fritz and Purvis (2010) <doi:10.1111/j.1523-1739.2010.01455.x> for D, and Borges et al. (2019) <doi:10.1093/bioinformatics/bty800> for categorical Delt [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ape, parallel, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: caper, mvtnorm, phytools, testthat
URL: https://github.com/yinwen-ecology/fastphylosig, https://yinwen-ecology.github.io/fastphylosig/
BugReports: https://github.com/yinwen-ecology/fastphylosig/issues
SystemRequirements: C++17, OpenMP (optional)
NeedsCompilation: yes
Packaged: 2026-10-16 00:33:42 UTC; wenyi
Author: Yin Wen [aut, cre]
Maintainer: Yin Wen <wenyinsci@126.com>
Repository: CRAN
Date/Publication: 2026-10-27 14:40:02 UTC

More information about fastphylosig at CRAN
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Sat, 24 Oct 2026

New package whence with initial version 0.1.0
Package: whence
Title: Explain Where a Number Came from in 'shiny' Apps
Version: 0.1.0
Description: Lets the viewer of a 'shiny' dashboard click a number, a row of a summary table or a bar of a 'ggplot2' plot, and see where it came from. The pipeline that makes the result is split into its steps. Each step is run in turn, and the number of rows after each step is recorded. The result is an attrition waterfall that shows how many rows each step removed, and what share of the rows that was, together with code that reproduces the result. The steps are found from the expression alone, so the pipeline does not need to be rewritten. The rows that contribute to a result, and the rows that a step removed, are found only when the viewer asks for them.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: htmltools, rlang, shiny (>= 1.7.0), utils
Suggests: dplyr, ggplot2, reactable, shinytest2, testthat (>= 3.0.0), tidyr, withr
URL: https://github.com/tenmeh/whence, https://tenmeh.github.io/whence/
BugReports: https://github.com/tenmeh/whence/issues
NeedsCompilation: no
Packaged: 2026-10-15 17:49:38 UTC; tchan
Author: Tanmay Chanda [aut, cre, cph]
Maintainer: Tanmay Chanda <tanmaychanda96@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 16:20:02 UTC

More information about whence at CRAN
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New package SurveySolutionsAPIv2 with initial version 0.1.2
Package: SurveySolutionsAPIv2
Title: Comprehensive API Access to Your 'Survey Solutions' Server Using 'httr2'
Version: 0.1.2
Description: A comprehensive suite of functions for interfacing with the 'Survey Solutions' APIs (<https://demo.mysurvey.solutions/apidocs/index.html> and <https://docs.mysurvey.solutions/>). It supports all the current POST, GET, and PATCH requests of the 'REST' API and extends its capabilities by integrating selected 'GraphQL' API queries and mutations when 'REST' API equivalents are not available. Designed for ease of use, it includes several convenience functions to streamline operations. The package ensures that data retrieved from the API is automatically transformed into a single, easy-to-use data frame or data table, optimizing it for subsequent analysis and processing. Additionally, it is specifically designed to facilitate seamless integration into 'shiny' applications, enhancing the interactive web application development experience. Built on the robust 'httr2' package, this version supersedes the previous 'httr'-based implementation. Recognizing the needs of large-scale data [...truncated...]
License: MIT + file LICENSE
URL: https://michael-cw.github.io/SurveySolutionsAPIv2/, https://github.com/michael-cw/SurveySolutionsAPIv2
BugReports: https://github.com/michael-cw/SurveySolutionsAPIv2/issues
Depends: R (>= 4.1.0)
Imports: cli, curl, data.table, dplyr, foreach, graphics, httr2, jsonlite, lubridate, readr, rlang, shiny, stats, stringr, susographql (>= 0.1.1), tidyjson, tidyr, withr, zip
Encoding: UTF-8
Language: en
Suggests: doFuture, DT, future, future.apply, ggplot2, knitr, progressr, readxl, rmarkdown, sf, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-15 18:01:47 UTC; michaelwild
Author: Michael Wild [aut, cre, cph]
Maintainer: Michael Wild <michael.wild@me.com>
Repository: CRAN
Date/Publication: 2026-10-24 16:20:13 UTC

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New package soilwatR with initial version 0.1.1
Package: soilwatR
Title: Simulation of Soil Water Flow Based on Darcy's Law
Version: 0.1.1
Description: Provides a simple model to simulate soil water content and water flux changes at multiple soil depths. Calculations mainly follow Allen et al. (1998, ISBN:92-5-104219-5) and Teh (2017, ISBN:9789673447626).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, magrittr, rlang, stringr, tidyr
Suggests: ggpubr, testthat (>= 3.0.0)
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2026-10-15 16:23:27 UTC; liumg
Author: Minguo Liu [aut, cre]
Maintainer: Minguo Liu <liumg@nwafu.edu.cn>
Repository: CRAN
Date/Publication: 2026-10-24 16:10:02 UTC

More information about soilwatR at CRAN
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New package robotstxtr with initial version 0.3.1
Package: robotstxtr
Title: Engine-Aware 'robots.txt' Policy with Google's Matcher Algorithm
Version: 0.3.1
Language: en-US
Description: Evaluates whether URLs may be crawled according to 'robots.txt' rules. A versioned engine-aware facade keeps neutral fetch evidence, per-engine status policy, robots product tokens, and matcher capabilities separate, returning explicit non-decisions when policy is undocumented or a matcher is unavailable. The available matcher is a bundled, upstream-test-validated snapshot of Google's open-source C++ 'robots.txt' matcher, preserving 'Googlebot' behavior. Fetches use a deterministic, conservative policy built on 'httr2', with fetch origins constructed by 'rurl'. All network access in tests, examples, and vignettes is mocked or served locally, so no internet connection is required to install, test, or check the package. This matcher derives from Google's 'robotstxt' project <https://github.com/google/robotstxt>, distributed under the Apache License 2.0; see the package NOTICE.
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
URL: https://bart-turczynski.gitlab.io/robotstxtr/, https://gitlab.com/bart-turczynski/robotstxtr, https://bart-turczynski.r-universe.dev/robotstxtr
BugReports: https://gitlab.com/bart-turczynski/robotstxtr/-/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.2.0), rurl (>= 3.0.1)
LinkingTo: cpp11
SystemRequirements: C++17
Suggests: callr, httpuv, jsonlite, knitr, oysteR, rmarkdown, rosv, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-15 14:04:24 UTC; bartturczynski
Author: Bart Turczynski [aut, cre, cph] , Google LLC [cph]
Maintainer: Bart Turczynski <bartek@turczynski.pl>
Repository: CRAN
Date/Publication: 2026-10-24 16:10:08 UTC

More information about robotstxtr at CRAN
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New package p3d with initial version 0.1.0
Package: p3d
Title: Interactive 3D Visualization of p-Value Surfaces
Version: 0.1.0
Description: Provides interactive three-dimensional visualization of p-value surfaces for single-sample t-tests. Enables simultaneous exploration of effect size, sample size, and significance level, making the continuous nature of p-values and the moderating effect of sample size visually apparent. Includes both interactive ('rgl', 'plotly') and static (persp()) rendering options. The p-value surface is based on the approach of Infanger and Schmidt-Trucksäss (2019) <doi:10.1002/sim.8293>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ahmetkutuk1/p3d, https://ahmetkutuk1.github.io/p3d/
BugReports: https://github.com/ahmetkutuk1/p3d/issues
Suggests: knitr, plotly, rgl, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-15 18:17:59 UTC; Ahmet
Author: Ahmet Kutuk [aut, cre]
Maintainer: Ahmet Kutuk <ahmetkutuk@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 16:30:02 UTC

More information about p3d at CRAN
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New package OptimalFactor with initial version 1.5.0
Package: OptimalFactor
Title: Item Selection in Factor Analysis by Boosting and Specification Search
Version: 1.5.0
Date: 2026-10-05
Description: Provides an iterative optimization algorithm for exploratory and confirmatory factor analysis that follows a boosting approach inspired by machine learning. It uses a composite fit index whose weights adapt to the degrees of freedom and the sample size, following Kenny and McCoach (2003) <doi:10.1207/S15328007SEM1003_1> and Shi, Lee and Maydeu-Olivares (2019) <doi:10.1177/0013164418783530>. It detects and removes problematic items (Heywood cases, cross-loadings, low loadings) with greedy or global search strategies, checks interfactor correlations, and supports ordinal data with WLSMV estimation and several rotation methods. A heuristic specification search for confirmatory models (MacCallum, 1986 <doi:10.1037/0033-2909.100.1.107>) explores move, drop and covariance operations across seed configurations. It also evaluates the resampling stability of the item selection, the recovery of a known or theoretical structure, and offers an optional conceptual analysis of remo [...truncated...]
License: GPL (>= 3)
URL: https://github.com/jventural/OptimalFactor, https://jventural.github.io/OptimalFactor/
BugReports: https://github.com/jventural/OptimalFactor/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: lavaan, psych, dplyr, tidyr, ggplot2, stringr, parallel, stats, utils
Suggests: testthat (>= 3.0.0), httr, jsonlite, R.utils, knitr, rmarkdown, semTools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-15 17:35:48 UTC; PC
Author: Jose Ventura-Leon [aut, cre]
Maintainer: Jose Ventura-Leon <jventuraleon@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 16:30:08 UTC

More information about OptimalFactor at CRAN
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New package MAC.address with initial version 0.1.0
Package: MAC.address
Title: Find, Validate and Identify Device MAC Addresses
Version: 0.1.0
Description: Tools to work with MAC (Media Access Control) addresses: list the MAC addresses of the local network interfaces and of the neighbors in the ARP cache on Linux, macOS and Windows, extract MAC addresses from free text, validate and normalize their notation, check the multicast and locally administered bits, generate random addresses, derive IPv6 interface identifiers (modified EUI-64), and identify the manufacturer using the public IEEE (Institute of Electrical and Electronics Engineers) MA-L, MA-M and MA-S registries <https://regauth.standards.ieee.org/standards-ra-web/pub/view.html#registries>.
URL: https://github.com/EnriquePH/mac-address, https://enriqueph.github.io/mac-address/
BugReports: https://github.com/EnriquePH/mac-address/issues
Depends: R (>= 4.0.0)
Imports: stats, tools, utils
Suggests: curl, testthat (>= 3.0.0), withr
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-14 19:39:39 UTC; eph
Author: Enrique Perez Herrero [aut, cre]
Maintainer: Enrique Perez Herrero <eph.project1500@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 16:30:15 UTC

More information about MAC.address at CRAN
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New package ltvlms with initial version 0.1.0
Package: ltvlms
Title: Linear Time-Variant Logistic Models with a Shape Parameter
Version: 0.1.0
Description: Evaluates and fits the Linear Time-Variant Logistic Model with Shape Parameter (LTVLMS) for dynamic growth processes. The model combines a linearly time-varying growth rate with a shape parameter for asymmetric trajectories and includes numerically stable prediction utilities. Methodological details are provided by Betrouni and Kernane (2026) "Linear Time-Varying Logistic Model With Shape Parameter for Dynamic Epidemic Modeling" <doi:10.1155/jama/4928447>.
Depends: R (>= 4.0.0)
License: MIT + file LICENSE
Copyright: Package code and documentation are copyright the listed authors. The included UNAIDS-derived datasets remain subject to the UNAIDS terms identified in inst/COPYRIGHTS.
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-15 18:03:31 UTC; bander
Author: Redouane Betrouni [aut] , Tewfik Kernane [aut] , Bander Hussein [aut, cre]
Maintainer: Bander Hussein <bshussein@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 16:20:08 UTC

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New package cdiscdata with initial version 0.2.0
Package: cdiscdata
Title: Versioned CDISC Standards Reference Data
Version: 0.2.0
Description: Provides versioned reference data for the standards of the Clinical Data Interchange Standards Consortium (CDISC) <https://www.cdisc.org/standards>: the CDISC Controlled Terminology (CT) for the Study Data Tabulation Model (SDTM) and the Analysis Data Model (ADaM); variable metadata for the SDTM model and for the families of the SDTM Implementation Guide (SDTMIG), the Standard for Exchange of Nonclinical Data Implementation Guide (SENDIG), and the ADaM Implementation Guide (ADaMIG); the Clinical Data Acquisition Standards Harmonization (CDASH) model and implementation guide; the Questionnaires, Ratings, and Scales (QRS) supplements; and the Define-XML schemas, written in the Extensible Markup Language (XML) Schema Definition (XSD) language, with Extensible Stylesheet Language Transformations (XSLT) stylesheets for them. A validity-date design stores every historical CT version compactly, without duplicating rows. Intended as a shared data dependency for pharmaverse-aligned packag [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), xml2, withr, covr, pkgdown, knitr, rmarkdown, callr
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
Language: en-US
URL: https://github.com/humanpred/cdiscdata, https://humanpred.github.io/cdiscdata/
BugReports: https://github.com/humanpred/cdiscdata/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-15 21:46:07 UTC; bill
Author: Bill Denney [aut, cre] , Clinical Data Interchange Standards Consortium [cph] ), Lex Jansen [cph] ), National Cancer Institute Enterprise Vocabulary Services [dtc] )
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Repository: CRAN
Date/Publication: 2026-10-24 16:40:09 UTC

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New package boltzrosen with initial version 0.1.0
Package: boltzrosen
Title: Boltzmann-Rosenbrock Distribution and Associated Copula
Version: 0.1.0
Description: Provides the probability density function, cumulative distribution function, quantile function, and random sample generation for the Boltzmann-Rosenbrock distribution. The package also includes functions for the marginal distributions of X and Y, the mutual information between the two components, and the copula associated with the distribution, including its density, distribution function, and sampling routines. The use of Boltzmann distribution in objective functions, such as the Rosenbrock function, is described in Segovia-Domínguez, I., Valdez, S.I. and Hernández-Aguirre, A. (2014) <doi:10.5220/0005079902510258>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-15 14:48:35 UTC; rogel
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Jhon Daniel Aguilar Payares [aut, cph] , Alejandro Fausto Cortes Salinas [aut, cph] , Sofia Isabel Soledad Limon [aut, cph] , Rogelio Emiliano Salinas Gutierrez [aut, cph] , Juan Pablo Salinas Munoz [aut, c [...truncated...]
Maintainer: Rogelio Salinas Gutierrez <rogelio.salinas@edu.uaa.mx>
Repository: CRAN
Date/Publication: 2026-10-24 16:10:14 UTC

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New package paretoinfer with initial version 0.1.0
Package: paretoinfer
Title: Sequential Identification of Approximately Pareto-Optimal Alternatives under Noise
Version: 0.1.0
Description: Sequential identification of epsilon-Pareto-optimal alternatives among a finite set with noisy, possibly correlated objectives. Simultaneous anytime-valid confidence sequences for every objective of every alternative (Waudby-Smith and Ramdas, 2024, <doi:10.1093/jrsssb/qkad009>) certify, at any time, which alternatives are epsilon-dominated and which are not, report the estimated frontier, the plausible Pareto set and the certified-dominated set, propose the next alternative to evaluate, and record an auditable result contract.
License: GPL (>= 3)
URL: https://castlaboratory.github.io/paretoinfer/, https://github.com/castlaboratory/paretoinfer
BugReports: https://github.com/castlaboratory/paretoinfer/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1)
Imports: cli (>= 3.6.0), generics, ggplot2 (>= 3.5.0), rlang (>= 1.1.0), seqbench (>= 0.1.0), stats, tibble (>= 3.2.0), utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-15 10:47:31 UTC; leite
Author: Andre Leite [aut, cre] , Raydonal Ospina [aut] , Cristiano Ferraz [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-10-24 15:50:01 UTC

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New package DistLagHet with initial version 0.1.0
Package: DistLagHet
Title: Treatment Effect Estimation in Complex Designs
Version: 0.1.0
Description: Implements estimation methods for treatment effects in complex designs under parallel-trends assumptions. Based on the methodology of de Chaisemartin and D'Haultfoeuille (2025) <doi:10.48550/arXiv.2508.07808>. Provides three model specifications: base model with K lags, full dynamics model using all available periods, and interactions model with lag interaction terms. Includes C++ optimizations for faster bootstrap estimation.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: MASS, Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppEigen
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-10-15 09:34:12 UTC; henrifabre
Author: Clement de Chaisemartin [aut], Xavier D'Haultfoeuille [aut], Henri Fabre [cre, ctb]
Maintainer: Henri Fabre <henri.fabre@ensae.fr>
Repository: CRAN
Date/Publication: 2026-10-24 11:50:07 UTC

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New package agriTradeRisk with initial version 0.1.0
Package: agriTradeRisk
Title: Agricultural Export Competitiveness and Risk Analysis
Version: 0.1.0
Description: An integrated and reproducible workflow for analysing the competitiveness and risk of agricultural and horticultural exports. It measures destination and product concentration (Herfindahl-Hirschman, entropy and equivalent-number indices), revealed comparative advantage (Balassa, 1965) <doi:10.1111/j.1467-9957.1965.tb00050.x> and its symmetric form, relative unit values, and constant market share decomposition of export growth. It tests vertical price transmission between export and domestic prices with Engle-Granger cointegration (Engle and Granger, 1987) <doi:10.2307/1913236> using MacKinnon (2010) critical values and symmetric or asymmetric error correction models. It quantifies exchange-rate exposure of a multi-currency export portfolio (volatility, diversification ratio, risk contributions and value at risk), screens destination markets with composite entry-risk scores, and identifies risk-efficient destination mixes by mean-variance portfolio optimisation (Markowitz, 1 [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 3.5.0)
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-15 09:10:53 UTC; root
Author: Anbukkani Perumal [aut, cre, cph]
Maintainer: Anbukkani Perumal <anbueconomic@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 11:50:02 UTC

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New package agriEquity with initial version 0.1.0
Package: agriEquity
Title: Equity and Sustainability Assessment of Agricultural Subsidies
Version: 0.1.0
Description: An integrated framework for evaluating whether agricultural support measures reach smallholders, women farmers and resource-poor regions, and at what productivity and environmental cost. It provides survey-weighted benefit incidence analysis by landholding class, gender, region or income quantile; concentration, Kakwani and Reynolds-Smolensky progressivity measures (Kakwani, 1977) <doi:10.2307/2230485> with bootstrap confidence intervals; multi-dimensional equity scorecards with parity ratios and Theil decomposition of benefit inequality; effects of subsidies on income inequality and Foster-Greer-Thorbecke poverty (Foster, Greer and Thorbecke, 1984) <doi:10.2307/1913475>; budget-neutral reallocation of a subsidy budget under alternative allocation rules, including a welfare-optimal allocation that combines diminishing productivity returns, Atkinson (1970) <doi:10.1016/0022-0531(70)90039-6> inequality aversion and environmental damage costs; and productivity-equity-sus [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 3.5.0)
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-15 10:08:23 UTC; root
Author: Anbukkani Perumal [aut, cre, cph]
Maintainer: Anbukkani Perumal <anbueconomic@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 12:00:02 UTC

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New package fpoValue with initial version 0.1.0
Package: fpoValue
Title: Farmer Producer Organisation Economics and Member Benefit Accounting
Version: 0.1.0
Description: Tools to determine when collective marketing, aggregation, grading and bulk input procurement through farmer producer organisations (FPOs) and agricultural cooperatives improve member-farmer returns. The package provides channel-level transaction cost accounting (transport, commissions, market fees, time, rejection and payment-delay costs), estimation of scale economies from consolidated transport, tiered bulk input discounts and grading premiums, break-even throughput and procurement-price analysis, and comparison of individual and collective marketing scenarios. Its core is a member-level distributional accounting framework that separates the total surplus generated by an FPO from the benefits actually received by farmers through prices, transaction cost savings, input savings and dividends, and summarises their distribution across members with Gini and concentration indices and farm-size group shares.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.5.0)
Imports: graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-15 04:40:01 UTC; root
Author: Anbukkani Perumal [aut, cre, cph]
Maintainer: Anbukkani Perumal <anbueconomic@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 11:00:15 UTC

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New package controlledburn with initial version 0.3.1
Package: controlledburn
Title: Sparse Geometry Rasterization with Exact Coverage Fractions
Version: 0.3.1
Description: Rasterize polygon, line, and point geometry without materializing any pixel values. For polygons it computes exact coverage fractions for polygon-grid intersections, returning sparse tables: run-length encoded interior cells and individually weighted boundary cells. The scanline algorithm is O(perimeter) in both time and memory, using the scan line fill attributed to Wylie et al. (1967) <doi:10.1145/1465611.1465619>. Exact coverage fractions use the 'exactextract' algorithm by Daniel Baston, vendored from the 'exactextractr' package <doi:10.32614/CRAN.package.exactextractr>. Derived from the 'fasterize' package by Noam Ross.
License: Apache License (== 2.0)
Copyright: See file COPYRIGHTS
Encoding: UTF-8
LinkingTo: cpp11
Imports: wk
Suggests: geos, testthat (>= 3.0.0), knitr, rmarkdown, fasterize, terra, raster, ggplot2
URL: https://github.com/hypertidy/controlledburn
BugReports: https://github.com/hypertidy/controlledburn/issues
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2026-10-15 04:19:00 UTC; mdsumner
Author: Michael Sumner [aut, cre] , Noam Ross [aut] , EcoHealth Alliance [cph] , Jim Hester [ctb] , Daniel Baston [cph] ), ISciences, LLC [cph] )
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 11:00:21 UTC

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New package smak with initial version 0.1.0
Package: smak
Maintainer: Steven E. Pav <shabbychef@gmail.com>
Version: 0.1.0
Date: 2026-10-13
License: LGPL-3
Title: Scalable Model Averageing Kit
BugReports: https://github.com/shabbychef/smak/issues
Description: Supports frequentist model averaging on linear regression problems via the scalable method of Zhu et. al. (2022) <doi:10.1080/07350015.2022.2116442>. The scalable model averaging technique projects to singular vectors, performs one linear regression per singular vector, then combines the estimates to optimize either Mallows' criterion, or the jackknife estimate of error.
Depends: R (>= 4.0)
Imports: generics, methods, quadprog
Suggests: broom, testthat, knitr
URL: https://github.com/shabbychef/smak
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-14 21:54:30 UTC; spav
Author: Steven E. Pav [aut, cre]
Repository: CRAN
Date/Publication: 2026-10-24 09:20:02 UTC

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New package LMDT with initial version 0.1.0
Package: LMDT
Title: Local Manifold Dispersion Test for Heteroskedasticity
Version: 0.1.0
Description: Implements the Local Manifold Dispersion Test (LMDT) for detecting complex, non-linear, and high-dimensional heteroskedasticity in linear regression models. LMDT measures the spectral smoothness (Dirichlet energy) of robust log-dispersion residuals over a self-tuning k-nearest neighbors graph Laplacian, as formulated in Jabbar (2026). The test statistic is asymptotically distribution-free with respect to error kurtosis and accommodates high-dimensional covariates (p > 50) via Gavish-Donoho optimal hard thresholding and supervised metric learning.
License: GPL (>= 3)
URL: https://amjed-droid.github.io/LMDT/, https://github.com/amjed-droid/LMDT
BugReports: https://github.com/amjed-droid/LMDT/issues
Depends: R (>= 4.0.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-14 23:29:15 UTC; intel
Author: Ahmed Sattar Jabbar [aut, cre]
Maintainer: Ahmed Sattar Jabbar <ahmed.state.me@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 09:30:02 UTC

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New package LAGOtrials with initial version 1.1.0
Package: LAGOtrials
Title: Learn-as-You-Go Adaptive Trial Optimization
Version: 1.1.0
Description: Optimizes interventions for adaptive "Learn-As-you-GO" (LAGO) trials, in which the intervention package is updated between stages using accumulating data. Given data from completed stages, lago_optimization() fits the outcome model (via 'stats' generalized linear models or, for clustered designs, cluster-robust variance) and computes the cost-optimal recommended intervention for the next stage that is expected to reach a target mean outcome and/or a desired statistical power. get_confidence_set() constructs confidence sets for the optimal intervention, and visualize_cost() and lago_report() summarize the cost surface and results. Methods are described in Nevo, Lok and Spiegelman (2021) <doi:10.1214/20-aos1978> and Bing, Spiegelman, Nevo and Lok (2025) <doi:10.1093/biomtc/ujaf061>.
License: GPL-3
Copyright: This package bundles the D3 v7 library (inst/js/d3.v7.min.js), which is ISC-licensed and Copyright 2010-2023 Mike Bostock. See inst/COPYRIGHTS and inst/js/d3-LICENSE. All other code is Copyright the LAGO authors under GPL-3.
URL: https://correspondmerchant.github.io/LAGO-R-Package/, https://github.com/correspondMerchant/LAGO-R-Package
BugReports: https://github.com/correspondMerchant/LAGO-R-Package/issues
Encoding: UTF-8
LazyData: true
Imports: rje, NlcOptim, cli, bslib, shiny, ggplot2, shinyjs, Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), tibble, knitr, rmarkdown, jsonlite, spelling
VignetteBuilder: knitr
Depends: R (>= 2.10)
Language: en-US
NeedsCompilation: yes
Packaged: 2026-10-14 21:28:13 UTC; antebing
Author: Ante Bing [aut, cre], Minh Bui [aut], Jingyu Cui [aut], Mike Bostock [cph]
Maintainer: Ante Bing <abing@bu.edu>
Repository: CRAN
Date/Publication: 2026-10-24 09:10:02 UTC

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New package DoExp with initial version 0.1.0
Package: DoExp
Title: Design of Experiments with Hasse Diagrams and Anatomy Tables
Version: 0.1.0
Depends: R (>= 4.1.0)
Description: Constructs Hasse diagrams and anatomy tables from structural formulas and experimental data sets. Hasse diagrams may display sources of variation and their degrees of freedom for general experimental structures. For orthogonal designs, the package can also compute core matrices associated with quadratic forms for sums of squares and contributions to the expected mean squares. Anatomy tables display the degrees of freedom and A-efficiencies associated with the sources of variation.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, ggplot2, knitr, psych, purrr, rlang, stringr, tibble, utils
Suggests: dae, patchwork, rmarkdown
NeedsCompilation: no
Packaged: 2026-10-14 22:32:07 UTC; Leo Peressim
Author: Leonardo Peressim [aut, cre] , Renata Sermarini [aut]
Maintainer: Leonardo Peressim <leonardoperessim@usp.br>
Repository: CRAN
Date/Publication: 2026-10-24 09:30:08 UTC

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New package tidyfault with initial version 0.1.0
Package: tidyfault
Title: Tidy Fault Tree Analysis
Version: 0.1.0
Description: Fault tree analysis with tidy data. Represent a fault tree as two tables, one of nodes (the top event, gates and basic events) and one of edges, so the whole workflow stays in ordinary data frames. Derive the Boolean equation of the top event, enumerate the truth table, and find minimal cut sets with the Method of Obtaining Cut Sets (MOCUS) algorithm of Fussell and Vesely (1972), implemented in 'R' and, by default, in C++ through 'Rcpp'. Evaluate thousands of binary or probabilistic scenarios in one vectorized call, put uncertainty intervals around the top-event probability, follow it over time, and rank which component fix lowers it most. Lay out and draw the tree with 'tidygraph', 'igraph' and 'ggplot2'. Methods follow the "Fault Tree Handbook" of Vesely, Goldberg, Roberts and Haasl (1981) <https://www.nrc.gov/docs/ML1007/ML100780465.pdf>. A 'Python' port with the same functions ships in the same repository.
URL: https://tidyfault.netlify.app, https://github.com/timothyfraser/tidyfault
BugReports: https://github.com/timothyfraser/tidyfault/issues
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: dplyr, ggplot2, graphics, igraph, methods, purrr, Rcpp, rlang, scales, stats, stringr, tibble, tidyr, tidygraph
LinkingTo: Rcpp
Suggests: ggraph, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-14 20:12:31 UTC; tmf77
Author: Timothy Fraser [aut, cre, cph] , Jingyao Tong [aut, cph] , Cornell University [cph]
Maintainer: Timothy Fraser <tmf77@cornell.edu>
Repository: CRAN
Date/Publication: 2026-10-24 09:00:02 UTC

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New package RQK with initial version 1.0.0
Package: RQK
Title: Rational Quadratic Kriging
Version: 1.0.0
Description: Fits the rational quadratic kriging models of Song and Joseph (2026) <doi:10.48550/arXiv.2610.18077> for deterministic and noisy responses using a rational quadratic kernel with anisotropic factor weights. Provides leave-one-out tuning, fast 'C++' prediction routines, and conformal prediction intervals. This work is supported by a U.S. NSF grant DMS-2310637.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: Rcpp (>= 1.0.14), nloptr
LinkingTo: Rcpp, RcppArmadillo, nloptr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-10-14 19:59:39 UTC; Difan
Author: Difan Song [aut, cre], V. Roshan Joseph [aut]
Maintainer: Difan Song <dfsong96@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 08:50:11 UTC

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New package RCPA4 with initial version 1.0.0
Package: RCPA4
Title: Data and Functions for "An R Companion to Political Analysis, Fourth Edition"
Version: 1.0.0
Description: Provides teaching-oriented functions and datasets for "An R Companion to Political Analysis, Fourth Edition" (forthcoming 2026). Functions produce readable tables and graphics for descriptive statistics, data transformation, confidence intervals, hypothesis testing, comparisons, cross-tabulation, and linear and logistic regression. Sampling weights are supported where appropriate, and analysis functions return reusable results for further examination. The package also includes curated political datasets designed for classroom instruction and independent practice. See Edwards and Pollock (forthcoming 2026) <https://www.poliscidata.com/textbooks/r_companion_4e.php>.
License: CC0
URL: https://www.poliscidata.com/textbooks/r_companion_4e.php
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: beepr, car, graphics, grDevices, haven, Hmisc, knitr, lmtest, methods, stats, survey, utils
Suggests: hexbin, rgl, scatterplot3d, gdata, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-09 13:32:27 UTC; Barry Edwards
Author: Barry C. Edwards [aut, cre] , Philip H. Pollock III [ctb]
Maintainer: Barry C. Edwards <bce@uga.edu>
Repository: CRAN
Date/Publication: 2026-10-24 08:20:02 UTC

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New package PheValuator with initial version 2.2.18
Package: PheValuator
Title: Rapid Phenotype Evaluation
Version: 2.2.18
Date: 2026-10-7
Description: Evaluates phenotype algorithms by developing a diagnostic prediction model using a set of noisy positives and noisy negatives. It can then apply the model to a large cohort to create a set of subjects each with a predicted probability for the health outcome of interest. This cohort can then be used to evaluate phenotype algorithms through the calculation of the necessary performance characteristics - sensitivity, specificity, and positive and negative predictive value. Based on work by Swerdel (2022) <doi:10.1016/j.jbi.2022.104177> and Swerdel (2019) <doi:10.1016/j.jbi.2019.103258>.
License: Apache License 2.0
VignetteBuilder: knitr
Depends: R (>= 4.1.1)
Imports: DatabaseConnector, PatientLevelPrediction (>= 6.0.4), FeatureExtraction (>= 2.1.5), SqlRender (>= 1.5.2), dplyr (>= 0.7.8), methods, ParallelLogger, tibble
Suggests: knitr, rmarkdown, shiny, shinydashboard, DT, htmltools, qpdf, testthat, Eunomia, withr, CohortGenerator
URL: https://ohdsi.github.io/PheValuator/, https://github.com/OHDSI/PheValuator
BugReports: https://github.com/OHDSI/PheValuator/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-12 17:16:15 UTC; Admin_WObrien8
Author: William J. O'Brien [aut, cre], Joel Swerdel [aut], Martijn Schuemie [aut]
Maintainer: William J. O'Brien <wobrien8@its.jnj.com>
Repository: CRAN
Date/Publication: 2026-10-24 08:40:02 UTC

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New package flexsdm with initial version 1.4.2
Package: flexsdm
Title: Flexible Species Distribution Modeling Workflow
Version: 1.4.2
Maintainer: Santiago J.E. Velazco <sjevelazco@gmail.com>
URL: https://sjevelazco.github.io/flexsdm/, https://github.com/sjevelazco/flexsdm
BugReports: https://github.com/sjevelazco/flexsdm/issues
Depends: R (>= 3.5.0)
Imports: doParallel, dplyr, foreach, gbm, grDevices, kernlab, maxnet, mgcv, nnet, randomForest, spThin, terra (>= 1.5-21), methods, utils, ggplot2, patchwork, Rcpp
Description: Provides a flexible and comprehensive workflow for species distribution modeling, from data preparation (occurrence filtering, calibration areas, pseudo-absence and background sampling, data partitioning, and collinearity reduction) to model fitting, tuning, evaluation, prediction, ensemble modeling, and post-processing. The package is described in Velazco et al. (2022) <doi:10.1111/2041-210X.13874>. Implemented methods include the Shape metric to measure model extrapolation of Velazco et al. (2023) <doi:10.1111/ecog.06992>, ensembles of small models of Breiner et al. (2015) <doi:10.1111/2041-210X.12403> and Breiner et al. (2018) <doi:10.1111/2041-210X.12957>, Gaussian process models of Golding and Purse (2016) <doi:10.1111/2041-210X.12523>, and occurrence-based constraints for post-processing predictions of Mendes et al. (2020) <doi:10.1016/j.ecolmodel.2020.109180>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: covr, fs, knitr, rmarkdown, testthat (>= 3.0.0), tibble, tidyr
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-10-14 19:07:17 UTC; sjevelazco
Author: Santiago J.E. Velazco [aut, cre] , Brooke Rose [aut] , Andre F.A. Andrade [aut] , Ignacio Minoli [aut] , Janet Franklin [aut]
Repository: CRAN
Date/Publication: 2026-10-24 08:50:02 UTC

More information about flexsdm at CRAN
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New package esgcalc with initial version 0.2.0
Package: esgcalc
Title: Offline Environmental, Social and Governance Calculations
Version: 0.2.0
Description: Native, deterministic calculations for selected environmental, social and governance metrics. Provides granular taxonomy criteria, non-financial taxonomy indicators, principal adverse impact components, portfolio calculations and configurable performance ratings. Versioned local resources, explicit assumptions and structured results support reproducible offline use. Does not determine legal applicability or provide a complete regulatory reporting system. Selected methods reference EU Regulations 2020/852, 2022/1288 and 2023/2772; exact editions and provision locators are supplied in the bundled source contracts. For background on the taxonomy framework, see the European Commission <https://finance.ec.europa.eu/sustainable-finance/tools-and-standards/eu-taxonomy-sustainable-activities_en>.
License: GPL (>= 3)
Copyright: RiskDataScience GmbH
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: jsonlite, digest
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 10:34:42 UTC; qwert123
Author: Dimitrios Geromichalos [aut, cre], RiskDataScience GmbH [cph]
Maintainer: Dimitrios Geromichalos <riskdatascience@web.de>
Repository: CRAN
Date/Publication: 2026-10-24 08:10:02 UTC

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New package coiR with initial version 0.1.0
Package: coiR
Title: Analysis of Canopy Openness Index from Fisheye Images
Version: 0.1.0
Description: Tools to estimate the Canopy Openness Index (COI) from hemispherical (fisheye) canopy photographs. The package imports canopy images, crops them to the circular area delimited by the fisheye lens, binarizes them to separate sky from vegetation pixels, and computes the index as the proportion of sky pixels in the cropped image. Canopy openness is a measure related to canopy closure, canopy cover and understorey illumination, as discussed in Jennings, Brown and Sheil (1999) "Assessing forest canopies and understorey illumination: canopy closure, canopy cover and other measures" <doi:10.1093/forestry/72.1.59>. Example canopy images are included so users can test the workflow.
URL: https://github.com/Edbbioeco/coiR
BugReports: https://github.com/Edbbioeco/coiR/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: ggplot2, dplyr, terra, tidyterra, rlang
Suggests: testthat (>= 3.0.0), purrr
NeedsCompilation: no
Packaged: 2026-10-14 21:17:24 UTC; LENOVO
Author: Edson Nilton de Moura Silva-Junior [aut, cre]
Maintainer: Edson Nilton de Moura Silva-Junior <edsonbbiologia@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 09:00:10 UTC

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New package AdaptiveGlasso with initial version 1.0.0
Package: AdaptiveGlasso
Title: Adaptive Graphical Lasso for Sparse Network Estimation
Version: 1.0.0
Description: Implements an adaptive graphical lasso method for sparse precision matrix and network estimation. The method combines ridge stabilization, cross-validated regularization, an initial graphical lasso estimate, and adaptive edge-specific penalties to estimate sparse conditional dependence structures. The method supports settings where the sample size is smaller than, equal to, or larger than the number of variables.
URL: https://github.com/elizabethamona/AdaptiveGlasso
BugReports: https://github.com/elizabethamona/AdaptiveGlasso/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: CVglasso, glasso
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-13 04:39:31 UTC; amona
Author: Elizabeth B. Amona [aut, cre, cph]
Maintainer: Elizabeth B. Amona <amonaelizabeth1@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 08:40:09 UTC

More information about AdaptiveGlasso at CRAN
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Fri, 23 Oct 2026

New package zucrypt with initial version 0.1.0
Package: zucrypt
Title: Cryptography Without System Dependencies
Version: 0.1.0
Description: Cryptographic functions over raw vectors, including message digests of in-memory data, files and connections, keyed-hash message authentication codes (HMAC), Advanced Encryption Standard (AES) encryption, constant-time comparison and hexadecimal encoding, backed by a bundled and pinned copy of the 'Mbed TLS' project's cryptography library, 'TF-PSA-Crypto' (<https://github.com/Mbed-TLS/TF-PSA-Crypto>). No system cryptographic library, 'Java' or 'Python' is required at install or run time. Algorithm names are matched exactly, and failures are reported as structured conditions. The same primitives, and secure erasure of native buffers, are published to other packages as a static archive and as a registered C interface, so that a package can call them from C without going through R.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS and tools/vendor/manifest.tsv.
URL: https://github.com/pedrobtz/zucrypt, https://pedrobtz.github.io/zucrypt/
BugReports: https://github.com/pedrobtz/zucrypt/issues
Depends: R (>= 4.1)
Imports: utils
Suggests: openssl, testthat (>= 3.0.0)
SystemRequirements: A C99 compiler. No system cryptographic library is used, no CMake, Python or Perl is required, and nothing is downloaded or generated during installation: the backend is built from vendored sources, with an explicit object list in portable make.
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-13 21:33:01 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], The Mbed TLS Contributors [cph] , Adriaan de Jong [ctb, cph] , Daniel King [ctb, cph] , Simon Tatham [ctb, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-23 15:20:02 UTC

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Thu, 22 Oct 2026

New package umg with initial version 0.6.1
Package: umg
Title: Unified Model Graphs for Statistical Models in Psychology
Version: 0.6.1
Description: Constructs, validates, lays out, and renders Unified Model Graphs (UMG), a formal graphical grammar for statistical models in psychology. Vertices are typed by observability, support, and inferential role; edges distinguish stochastic, symmetric, deterministic, and mixing dependence; plates encode replication and hierarchy. Diagrams can be themed and rendered with base 'grid' graphics, with 'ggplot2', as 'TikZ' code, or as 'Graphviz' DOT, and can be constructed either from one-line motif builders for many model families or automatically from 'lavaan', 'lme4', 'mirt', 'blavaan', 'brms', 'OpenMx', and 'qgraph' model objects. A diagram can be inspected as a data frame, summarised, and exported back to 'lavaan' model syntax, making the model-diagram correspondence operational in both directions. Each diagram also exposes identification diagnostics (scaling checks, a graphical counting rule, and a d-separation reader) and generates the exploratory display scaffolds implied by the model-data [...truncated...]
License: MIT + file LICENSE
URL: https://hsiutingyu.github.io/umg/, https://github.com/hsiutingyu/umg
BugReports: https://github.com/hsiutingyu/umg/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: grid, grDevices, stats, tools, utils
Suggests: lavaan, lme4, mirt, blavaan, brms, OpenMx, qgraph, ggplot2, DiagrammeR, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-14 10:07:50 UTC; Hsiu-TingYu
Author: Hsiu-Ting Yu [aut, cre]
Maintainer: Hsiu-Ting Yu <hsiutingyu@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:10:02 UTC

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New package twoPhaseSens with initial version 0.1.0
Package: twoPhaseSens
Title: Sensitivity Analysis for Covariates Observed in Two-Phase Samples
Version: 0.1.0
Description: Provides a structured method-comparison sensitivity-analysis workflow for linear regression when important continuous adjustment covariates are observed only in a Phase-2 subsample. Implements naive analysis, complete-case analysis, fully conditional specification multiple imputation, joint-model multiple imputation, inverse probability weighting, and augmented inverse probability weighting, with standardized tables, diagnostics, and publication-style forest plots. Methodological background is provided by Little and Rubin (2019) <doi:10.1002/9781119482260> for general missing-data methods, White and Carlin (2010) <doi:10.1002/sim.3944> for complete-case analysis with missing covariates, White, Royston and Wood (2011) <doi:10.1002/sim.4067> and van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03> for chained-equations multiple imputation, Quartagno, Grund and Carpenter (2019) <doi:10.32614/RJ-2019-028> for joint-model multiple imputation, R [...truncated...]
License: MIT + file LICENSE
URL: https://rophenceojiambo.github.io/twoPhaseSens/, https://github.com/rophenceojiambo/twoPhaseSens
BugReports: https://github.com/rophenceojiambo/twoPhaseSens/issues
Encoding: UTF-8
Imports: ggplot2, gtsummary (>= 2.0.0), jomo, mice, rlang, tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-14 14:26:41 UTC; runner
Author: Rophence Ojiambo [aut, cre] , Jemar Bather [aut]
Maintainer: Rophence Ojiambo <rophence.ojiambo@nyu.edu>
Repository: CRAN
Date/Publication: 2026-10-22 16:50:02 UTC

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New package SNPAssayR with initial version 1.0.1
Package: SNPAssayR
Title: SNP Genotyping Assay Design and Visualization
Version: 1.0.1
Description: Designs cleaved amplified polymorphic sequence (CAPS), derived CAPS (dCAPS), conventional amplification refractory mutation system (ARMS) and tetra-primer ARMS assays for single-locus, biallelic single nucleotide polymorphisms. Evaluates sequence-compatible primer binding, reconstructs ideal polymerase chain reaction products and computes theoretical complete restriction digestion and conditional genotype profiles. Transparent preference ranking, scientific visualizations and reproducible exports retain assumptions, missing specificity evidence and bounded search limitations. An optional offline 'shiny' interface uses the independently available analysis functions. Predictions do not establish experimental amplification, digestion efficiency or genome-wide specificity. Implements perfect-match nearest-neighbor thermodynamics from SantaLucia (1998) <doi:10.1073/pnas.95.4.1460>, single-substitution site-creation dCAPS based on Neff et al. (1998) <doi:10.1046/j.1365-313X.1998.001 [...truncated...]
License: GPL-3
Copyright: ICAR-Indian Institute of Rapeseed-Mustard Research (ICAR-IIRMR)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.2.1), shiny (>= 1.8.0), bslib (>= 0.6.1)
NeedsCompilation: no
Packaged: 2026-10-13 15:06:31 UTC; root
Author: Prashant Yadav [aut, cre] , Vinod Kumar [aut] , Vijay Veer Singh [aut] , ICAR-Indian Institute of Rapeseed-Mustard Research [cph]
Maintainer: Prashant Yadav <prashantnduat@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:20:02 UTC

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New package RDML7 with initial version 1.0.2
Package: RDML7
Title: Read, Write, Validate, and Analyze Real-Time PCR Data in the 'RDML' Format
Version: 1.0.2
Date: 2026-10-14
Encoding: UTF-8
Description: Reads, writes, validates, converts, and manipulates quantitative polymerase chain reaction (qPCR) data through the Real-Time PCR Data Markup Language ('RDML') application programming interface (API), using 'S7' objects. Includes an extensible file-format registry, vendor and tabular-data importers, 'RDES' import and export, fluorescence-table helpers, semantic validation, and compatibility wrappers for the historical 'RDML' API.
License: MIT + file LICENSE
URL: https://github.com/kablag/RDML7
BugReports: https://github.com/kablag/RDML7/issues
Depends: R (>= 4.1.0)
Imports: S7, checkmate (>= 1.6.2), data.table, readxl, stringr, tools, xml2 (>= 1.0), lubridate (>= 1.6.0)
Suggests: knitr, chipPCR, reshape2, qpcR, ggplot2, htmltools, DT, MBmca, PCRedux, shiny, shinythemes, testthat, rmarkdown, plotly
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-14 11:24:10 UTC; Blagodatskikh.KA
Author: Konstantin A. Blagodatskikh [cre, aut], Stefan Roediger [ctb], Michal Burdukiewicz [ctb], Andrej-Nikolai Spiess [ctb]
Maintainer: Konstantin A. Blagodatskikh <k.blag@yandex.ru>
Repository: CRAN
Date/Publication: 2026-10-22 16:40:26 UTC

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New package prime with initial version 0.5.5
Package: prime
Title: Proportional Inclusive Marginal Effects
Version: 0.5.5
Description: Implements a model-free variable importance measure based on proportional marginal effects estimated from noisy input-output data. See Cho and Joseph (2026) <doi:10.48550/arXiv.2610.17053> for details.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ChoYoungSeo/prime-importance-r
BugReports: https://github.com/ChoYoungSeo/prime-importance-r/issues
Depends: R (>= 4.2.0)
Imports: FNN, MASS, parallel, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), twinning
NeedsCompilation: yes
Packaged: 2026-10-14 18:51:14 UTC; ycho397
Author: Youngseo Cho [aut, cre, cph], V. Roshan Joseph [aut, cph]
Maintainer: Youngseo Cho <josun@gatech.edu>
Repository: CRAN
Date/Publication: 2026-10-22 17:00:02 UTC

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New package NormGen with initial version 0.0.6
Package: NormGen
Title: An Efficient and Precise Quantile Mapping for Normal Pseudo-Random Number Generation
Version: 0.0.6
Description: High-performance pseudo-normal random generator using an optimized quantile mapping algorithm. It provides fast generation of normal pseudo-random numbers based on precise mathematical approximations. The package features Rnorm() for efficient single-threaded generation and parallel_Rnorm(), a high-performance, multithreaded variant powered by 'RcppParallel' and Intel 'TBB'. Package compilation flags are optimized to support multi-core parallel processing.
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), RcppParallel
LinkingTo: Rcpp, RcppParallel
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Language: en-US
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-14 10:41:41 UTC; piotr
Author: Piotr Sulewski [aut, cre]
Maintainer: Piotr Sulewski <piotr.sulewski@upsl.edu.pl>
Repository: CRAN
Date/Publication: 2026-10-22 16:20:08 UTC

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New package MultipleSystemsEstimation with initial version 1.3.2
Package: MultipleSystemsEstimation
Title: Methods for Multiple Systems Estimation
Version: 1.3.2
Description: Methods for multiple systems estimation using Poisson log-linear models, with particular attention to sparse capture data, model selection and its associated uncertainty, and Bayesian thresholding of interaction effects. The package implements and extends methodology from Silverman (2020) <doi:10.1111/rssa.12505>, Chan, Silverman and Vincent (2021) <doi:10.1080/01621459.2019.1708748>, and Silverman, Chan and Vincent (2024) <doi:10.1007/s11222-023-10346-9>.
URL: https://bernardsilverman.github.io/MultipleSystemsEstimation/, https://bernardsilverman.co.uk/contact
Depends: R (>= 4.2.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: lpSolve, MCMCpack
VignetteBuilder: knitr
NeedsCompilation: no
Maintainer: Bernard W. Silverman <bernard.silverman@stats.ox.ac.uk>
Packaged: 2026-10-13 21:30:22 UTC; berna
Author: Bernard W. Silverman [aut, cre], Lax Chan [ctb], Kyle Vincent [ctb]
Repository: CRAN
Date/Publication: 2026-10-22 16:10:09 UTC

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New package hybridclock with initial version 0.1.1
Package: hybridclock
Title: How Long Have Hybrids Been Forming? Hybrid Population Histories from Diagnostic Markers
Version: 0.1.1
Description: Estimates the history of hybrid populations from diagnostic markers, with or without a genetic map: the average age of the hybrids, how long ago the rarer species' ancestry entered, the number of backcrosses, and whether pure animals of the rarer species are still arriving. Population samples of hybrid index and interspecies heterozygosity, as defined by Fitzpatrick (2012) <doi:10.1186/1471-2148-12-131>, are compared with forward simulations that include drift, small breeding groups, sibling mating and separate breeding pools, so that inbreeding is not mistaken for age. Estimates come from 'Cubist' models with split-conformal intervals. Recent hybrids are also classified individually, and the number of markers needed to detect backcrossed hybrids follows Boecklen and Howard (1997) <doi:10.1890/0012-9658(1997)078[2611:GAOHZN]2.0.CO;2>.
License: MIT + file LICENSE
URL: https://github.com/paulmaier/hybridclock, https://paulmaier.github.io/hybridclock/
BugReports: https://github.com/paulmaier/hybridclock/issues
Depends: R (>= 4.1)
Imports: Cubist, graphics, grDevices, parallel, ranger, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-14 13:59:47 UTC; paulm
Author: Paul A. Maier [aut, cre, cph]
Maintainer: Paul A. Maier <maierpa@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:40:02 UTC

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New package fereg with initial version 0.4.0
Package: fereg
Title: Fast Fixed-Effects Estimation with the 'fixest' Interface
Version: 0.4.0
Description: Ordinary least squares, two-stage least squares, Poisson and logit regressions with any number of high-dimensional fixed effects, interactions of fixed effects, varying slopes, weights and iid, heteroskedasticity-robust (HC1, HC2, HC3), multiway-clustered, CRV3, Newey-West, Driscoll-Kraay or Conley standard errors. The formula syntax, arguments, results and methods follow the 'fixest' package and reproduce its estimates. The computations run in a parallel 'Rust' library that eliminates the largest fixed effect exactly and solves for the others by preconditioned conjugate gradient.
License: MIT + file LICENSE
URL: https://github.com/leoliu0/fereg
BugReports: https://github.com/leoliu0/fereg/issues
Depends: R (>= 4.2)
Imports: stats
Suggests: fixest, testthat (>= 3.0.0), data.table, generics, Matrix
SystemRequirements: Cargo (Rust's package manager), rustc (>= 1.85)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-14 12:13:57 UTC; leo
Author: Leo Liu [aut, cre, cph], Authors of the bundled Rust crates [ctb, cph]
Maintainer: Leo Liu <auleo.liu@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:30:02 UTC

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New package EnvRtype with initial version 0.1.3
Package: EnvRtype
Title: Envirotyping for Quantitative Genetics and Plant Breeding
Version: 0.1.3
Description: An enviromics toolkit for genotype-by-environment analysis and envirotype-informed genomic prediction. Collects worldwide daily and hourly weather from 'NASA POWER', soil profiles from 'SoilGrids', elevation and bioclimatic layers from 'WorldClim', agro-ecological zones from 'FAO GAEZ', and downscaled 'CMIP6' climate scenarios, with checkpointed retrieval that can resume after an interrupted run. Derives agro-meteorological parameters (solar radiation, evapotranspiration, thermal time, atmospheric demand), runs a FAO-56 single crop coefficient soil water balance, and maps daily weather onto crop developmental stages. Builds environmental covariable matrices, envirotype typologies and frequency matrices, mega-environment clusters, historical risk profiles and target population of environments weights. Reduces interval-resolved envirotypes by principal component analysis, delineates soil zones with Gaussian mixture models, and constructs linear, Gaussian and arc-cosine environmental rela [...truncated...]
License: GPL-3
URL: https://github.com/gcostaneto/EnvRtype, https://gcostaneto.github.io/EnvRtype/
BugReports: https://github.com/gcostaneto/EnvRtype/issues
Encoding: UTF-8
LazyData: true
Imports: ggplot2, grDevices, graphics, reshape2, stats, tools, utils
Suggests: cluster, curl, geobr, ggrepel, httr, jsonlite, knitr, mclust, nasapower, parallel, randomForest, rmarkdown, sf, terra, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-14 18:51:47 UTC; qvt192
Author: Germano Costa-Neto [aut, cre], Fernanda Pontes [aut]
Maintainer: Germano Costa-Neto <germano.cneto@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:50:13 UTC

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New package CoxRMSTSimpson with initial version 0.1.0
Package: CoxRMSTSimpson
Title: Restricted Mean Survival Time from Cox Models
Version: 0.1.0
Description: Calculates restricted mean survival time from predicted Cox proportional hazards survival curves using composite Simpson's rule and provides plots with shaded areas under the survival curves. Includes simulated survival data for reproducible examples.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: survival, graphics, grDevices, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-14 08:45:43 UTC; fordeia
Author: Ian Forde [aut, cre]
Maintainer: Ian Forde <fordeia@appstate.edu>
Repository: CRAN
Date/Publication: 2026-10-22 16:20:14 UTC

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New package corridoR with initial version 0.2.0
Package: corridoR
Title: Migration Corridors and Genetic Range Shifts from Landscape Genetic Data
Version: 0.2.0
Description: Models genetic connectivity along migration corridors and forecasts how it shifts under climate change, following Maier et al. (2022) <doi:10.1038/s41437-022-00561-x>. Least cost corridors are built from accumulated cost surfaces and used as weights to summarize raw environmental layers between sites; each group of environmental features can choose its own corridor bandwidth; and pairwise predictions of differentiation and directional migration are mapped back onto the landscape as magnitude and net-direction surfaces. Includes readers for common genotype formats (STRUCTURE, GENEPOP, VCF, GenAlEx, FSTAT and PLINK files, and 'adegenet' objects), pairwise fixation indices, and the directional differentiation of Sundqvist et al. (2016) <doi:10.1002/ece3.2096>.
License: MIT + file LICENSE
URL: https://github.com/paulmaier/corridoR, https://paulmaier.github.io/corridoR/
BugReports: https://github.com/paulmaier/corridoR/issues
Depends: R (>= 4.1)
Imports: gdistance, graphics, grDevices, raster, sf, stats, terra, utils
Suggests: adegenet, caret, Cubist, exactextractr, ggplot2, knitr, lme4, ranger, rmarkdown, testthat (>= 3.0.0), vcfR
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-14 13:33:26 UTC; paulm
Author: Paul A. Maier [aut, cre, cph]
Maintainer: Paul A. Maier <maierpa@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:40:19 UTC

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New package camplet with initial version 1.0.0
Package: camplet
Title: Seasonal Adjustment via the CAMPLET Method
Version: 1.0.0
Description: Seasonal adjustment with CAMPLET (Abeln and Jacobs (2023) <doi:10.1007/978-3-031-22845-2>), a transparent, adaptive method that corrects for seasonality and outliers via arithmetic-progression updates, without model identification or optimisation, and without revising earlier adjusted values when new observations arrive. A pure R port of the original 'Excel' 'VBA' implementation, validated against its output.
URL: https://gitrepo.service.rug.nl/team-data-science/camplet-r
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0), readxl
NeedsCompilation: no
Packaged: 2026-10-07 13:31:55 UTC; herbert
Author: Barend Abeln [aut] , Herbert Kruitbosch [aut, cre]
Maintainer: Herbert Kruitbosch <datascience@rug.nl>
Repository: CRAN
Date/Publication: 2026-10-22 16:30:08 UTC

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New package AccumulatR with initial version 1.0.0
Package: AccumulatR
Title: Simulation and Likelihood Tools for Evidence-Accumulation Models
Version: 1.0.0
Description: Toolbox for designing, simulating and fitting custom racing evidence-accumulation models to behavioral data. Users define a model in terms of accumulators, pooled channels, logical response rules, and timing dependencies. This allows more direct embedding of psychological hypotheses into the model. With that model you can simulate decision-making data and evaluate the likelihood of observed responses under alternative parameter values. The user-facing interface stays in R, while the simulation and likelihood calculations are handled in C++ for speed.
License: GPL-3
URL: https://github.com/niekstevenson/AccumulatR, https://niekstevenson.github.io/AccumulatR/
BugReports: https://github.com/niekstevenson/AccumulatR/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: Rcpp (>= 1.1.2), stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), DiagrammeR
VignetteBuilder: knitr
LinkingTo: Rcpp (>= 1.1.2), BH
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-10-14 12:52:40 UTC; runner
Author: Niek Stevenson [aut, cre]
Maintainer: Niek Stevenson <niek.stevenson@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:30:14 UTC

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New package ccva with initial version 0.1.0
Package: ccva
Title: Climate Change Vulnerability Assessment with Constrained Latent Models
Version: 0.1.0
Description: A general framework for climate change vulnerability assessment (CCVA) of any species and any dataset. Variables are tagged as exposure, sensitivity or adaptive capacity; each component is computed from its own predictors by a chosen method; and the three components are combined into vulnerability. Methods range from the conventional weighted index of Ofori et al. (2017) <doi:10.1038/s41598-017-13245-y> to shape-constrained additive models ('scam'), latent-variable structural equation models ('lavaan') in which vulnerability is inferred from observable proxies, and penalised regression ('glmnet') for high-dimensional predictors. Ecological knowledge enters as explicit constraints on predictors, on each component's role and on the links between components. Diagnostics, validation against observed outcomes, bootstrap and weight-based uncertainty, calibrated risk predictions and plots for every step are included.
License: GPL (>= 3)
URL: https://github.com/DoostiH/ccva
BugReports: https://github.com/DoostiH/ccva/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), lavaan (>= 0.6-12), stats, utils
Suggests: scam, glmnet, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-14 06:45:01 UTC; MQ20173444
Author: Hassan Doosti [aut, cre, cph]
Maintainer: Hassan Doosti <hassan.doosti@mq.edu.au>
Repository: CRAN
Date/Publication: 2026-10-22 16:00:02 UTC

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New package zufft with initial version 0.1.0
Package: zufft
Title: Fast Fourier, Cosine and Sine Transforms
Version: 0.1.0
Description: Computes discrete Fourier transforms (complex, real-to-complex and complex-to-real) and discrete cosine and sine transforms of types one to four over any axes of an array, with the fast Fourier transform (FFT) code of 'ducc0' (<https://github.com/mreineck/ducc>) bundled in the BSD-licensed subset that 'SciPy' uses. Transforms of any length run in O(n log n) time, real input uses true real transforms, and several threads can share one transform.
License: MIT + file LICENSE
URL: https://github.com/pedrobtz/zufft, https://pedrobtz.github.io/zufft/
BugReports: https://github.com/pedrobtz/zufft/issues
Depends: R (>= 4.1)
Suggests: fftwtools, knitr, parallel, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Copyright: See inst/COPYRIGHTS.
Encoding: UTF-8
Language: en-GB
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-10-13 21:42:17 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Martin Reinecke [ctb] , Peter Bell [ctb, cph] , Max-Planck-Society [cph] , Matteo Frigo [cph] , Massachusetts Institute of Technology [cph] , The TensorFlow Authors [cph] , SciPy Developers [cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 11:10:02 UTC

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New package zuexact with initial version 0.1.0
Package: zuexact
Title: Exactly Rounded Sums, Means and Dot Products
Version: 0.1.0
Description: Sums of double-precision numbers computed exactly and rounded once, so the result is the correctly rounded true sum and does not depend on the order of the elements, the platform, or whether R was built with long doubles. Built on the small and large superaccumulators of Neal (2015) <doi:10.48550/arXiv.1505.05571>. Provides exactly rounded sums, means, cumulative sums, dot products and norms, row, column and grouped sums, accumulators that can be built in pieces and merged across processes, and a registered 'C' interface for other packages.
License: MIT + file LICENSE
URL: https://pedrobtz.github.io/zuexact/, https://github.com/pedrobtz/zuexact
BugReports: https://github.com/pedrobtz/zuexact/issues
Depends: R (>= 4.1)
Suggests: gmp, knitr, parallel, PreciseSums, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
SystemRequirements: C99
NeedsCompilation: yes
Packaged: 2026-10-13 22:05:27 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Radford M. Neal [cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 11:20:02 UTC

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New package geoecu with initial version 0.3.0
Package: geoecu
Title: Maps of the Provinces, Cantons and Parishes of Ecuador (Mapas de Provincias, Cantones y Parroquias del Ecuador)
Version: 0.3.0
Description: Provides the boundaries of the provinces, cantons and parishes of Ecuador as 'sf' objects, identified by the codes of the national political-administrative division (DPA, "División Político-Administrativa"), ready to be mapped and joined with health, epidemiological surveillance or other data. The three levels nest exactly and are offered in two resolutions: a light one for maps and dashboards and a detailed one for spatial analysis. The layers are derived from the free-access cartography of the Geographic Military Institute of Ecuador (IGM) <https://www.geoportaligm.gob.ec/portal/>, are downloaded on first use as 'GeoPackage' files and cached locally. Includes a catalogue of DPA codes, helpers to clean codes and place names, and tools to relocate the Galapagos Islands in national maps. Documentation is in Spanish.
License: MIT + file LICENSE
URL: https://github.com/f-slg/geoecu
BugReports: https://github.com/f-slg/geoecu/issues
Depends: R (>= 4.1.0)
Imports: sf, stats, tools, utils
Suggests: ggplot2, testthat (>= 3.0.0)
Encoding: UTF-8
Language: es
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-14 00:07:35 UTC; fabriciosalas
Author: Ronald Fabricio Salas Guerrero [aut, cre, cph]
Maintainer: Ronald Fabricio Salas Guerrero <fabriciosalasguerrero@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 11:30:02 UTC

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New package Applr with initial version 1.0.0
Package: Applr
Title: Visualize and Explain Linear Models
Version: 1.0.0
Description: Tools for visualizing and explaining linear models fit with lm(). Draws 2D slices of higher-dimensional models in base graphics and as a 'ggplot2' layer, offers an interactive 'plotly' 3D scatter with a fitted surface for two-predictor models, and renders model equations as plain text or 'LaTeX'.
License: MIT + file LICENSE
URL: https://saundersg.github.io/Applr/, https://github.com/saundersg/Applr
BugReports: https://github.com/saundersg/Applr/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.5.0), plotly, rlang, graphics, grDevices, grid, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-13 23:16:30 UTC; DELL
Author: Cameron McClellan [aut], James Beeson [aut, cre], Garrett Saunders [ths]
Maintainer: James Beeson <jamesbeeson01@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 11:20:09 UTC

More information about Applr at CRAN
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New package spifa with initial version 0.1.0
Package: spifa
Title: Bayesian Spatial Item Factor Analysis
Version: 0.1.0
Encoding: UTF-8
Description: Fits spatial item factor analysis models for binary responses, following Chacón-Montalván, E. A., Parry, L., Giorgi, E., Torres, P., Orellana, J. D. Y., Moraga, P., and Taylor, B. M. (2025) <doi:10.1214/25-AOAS2072>, using full Bayesian inference via adaptive Metropolis-Hastings within Gibbs sampling and auxiliary variables with a probit link function. The latent factors are modelled as the sum of a predictor effect, a multivariate Gaussian process capturing spatial dependence, and a multivariate non-spatial term, allowing users to fit and predict spatially-referenced constructs such as food insecurity or socioeconomic indices. Standard exploratory and confirmatory item factor analysis are supported as particular cases, simply by dropping the spatial structure.
License: GPL-3
URL: https://github.com/ErickChacon/spifa, https://ErickChacon.github.io/spifa/
Depends: R (>= 4.1.0)
BugReports: https://github.com/ErickChacon/spifa/issues
Imports: Rcpp (>= 0.12.13), RcppTN, tibble, dplyr, tidyr, sf, ggplot2, posterior, ggridges, patchwork
LinkingTo: Rcpp, RcppArmadillo, RcppTN
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mirt, gstat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-13 14:41:24 UTC; rstudio
Author: Erick A. Chacon-Montalvan [aut, cre] , Emanuele Giorgi [ctb], Benjamin M. Taylor [ctb]
Maintainer: Erick A. Chacon-Montalvan <erick.chaconmontalvan@wur.nl>
Repository: CRAN
Date/Publication: 2026-10-22 10:30:02 UTC

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New package progme with initial version 0.1.0
Package: progme
Title: Extended Progression Models for Repeated Measures
Version: 0.1.0
Description: Extended progression models for repeated measures in progressive disease clinical trials. Provides nonlinear mixed-effects progression models (linear, plateau, Emax, exponential decay), delayed treatment onset estimation by profile likelihood, joint longitudinal-survival models for informative dropout, competing-risks extensions, biomarker-informed adaptive dosing rules, and simulation-based power and sample-size calculation. The progression-model view of treatment effects, in which effects are characterised on the underlying disease trajectory rather than as additive shifts on the outcome scale, follows Raket (2022) <doi:10.1002/sim.9581>. The nonlinear mixed-effects machinery is built on the 'nlme' implementation described by Pinheiro and Bates (2000, ISBN 978-0-387-98957-0), and the joint modelling of longitudinal and time-to-event data follows Rizopoulos (2012, ISBN 978-1-4398-7286-4).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: nlme, survival, ggplot2, stats, graphics, utils
Suggests: rstan, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/MukulBijalwan/progme
BugReports: https://github.com/MukulBijalwan/progme/issues
NeedsCompilation: no
Packaged: 2026-10-13 13:47:08 UTC; Admin
Author: Mukul Bijalwan [aut, cre] , Gunjan Aggrwal [aut], Mukul Jain [aut]
Maintainer: Mukul Bijalwan <mukulbijalwan555@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 10:30:09 UTC

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New package nrMCmix with initial version 0.3
Package: nrMCmix
Title: Non-Reversible Markov Chains for Bayesian Mixture Models
Version: 0.3
Date: 2026-10-13
Description: Provides Bayesian inference for finite and infinite mixture models using Markov chain Monte Carlo (MCMC) methods. Supports Gaussian, multivariate Gaussian, Poisson, Binomial, and multivariate Bernoulli mixture kernels with different covariance structures and flexible prior specifications. Provides tools for data generation, posterior density evaluation, clustering and similarity analysis, and advanced MCMC sampling strategies, including reversible and non-reversible samplers: Ascolani et al. (2026) <doi:10.48550/arXiv.2510.03226>, informed proposals: Zanella (2020) <doi:10.1080/01621459.2019.1585255>, collapsed Gibbs sampling: Diebolt and Robert (1994) <doi:10.1111/j.2517-6161.1994.tb01985.x>, and split-and-merge samplers: Dahl and Newcomb (2021) <doi:10.1080/00949655.2021.1998502>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: base, coda, graphics, grDevices, fields, ggplot2, salso, Rcpp (>= 1.0.12), Rdpack, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, bmixture, datasets
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-13 16:00:28 UTC; paolomanildo
Author: Filippo Ascolani [aut] , Paolo Manildo [aut, cre] , Giacomo Zanella [aut]
Maintainer: Paolo Manildo <paolo.manildo@studenti.unipd.it>
Repository: CRAN
Date/Publication: 2026-10-22 10:40:02 UTC

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New package fkr with initial version 0.1.0
Package: fkr
Title: Realistic Fake Data Generator for the Philippines
Version: 0.1.0
Description: Generates realistic, locale-aware synthetic data for the Philippines, covering both personal data (names, ages, birthdays, contact details, addresses, government-ID-style numbers) and business data (company names, industries, job titles, products, prices, and permit numbers). Every value, including anything formatted to resemble a government identifier, is drawn uniformly at random for software testing, prototyping, and teaching, and does not correspond to any real person, business, or record.
License: MIT + file LICENSE
URL: https://github.com/yng-me/fkr
BugReports: https://github.com/yng-me/fkr/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, phscs, psgc
Suggests: curl, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-13 16:21:36 UTC; bhasabdulsamad
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 10:40:07 UTC

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New package rjd3bridge with initial version 0.1.0
Package: rjd3bridge
Title: Bridge Between 'RJDemetra' (V2) and 'rjd3' (V3)
Version: 0.1.0
Description: Provides bidirectional tools to convert seasonal adjustment models and specifications between 'RJDemetra' ('JDemetra+' v2) and the 'rjd3' ecosystem ('JDemetra+' v3, packages 'rjd3x13' and 'rjd3tramoseats'). Facilitates workflow migration and backward compatibility analysis.
Depends: R (>= 4.1.0)
Imports: rJava, RJDemetra (>= 0.2.7), rjd3toolkit(>= 3.3.0), rjd3x13 (>= 3.3.0), rjd3tramoseats (>= 3.3.0), rjd3jars (>= 0.0.5)
URL: https://github.com/AQLT/rjd3bridge, https://aqlt.github.io/rjd3bridge/
BugReports: https://github.com/AQLT/rjd3bridge/issues
SystemRequirements: Java (>= 17)
License: EUPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-13 10:02:24 UTC; aquartier-la-tente01
Author: Alain Quartier-la-Tente [aut, cre, cph]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>
Repository: CRAN
Date/Publication: 2026-10-22 10:00:02 UTC

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Wed, 21 Oct 2026

New package fieldopt with initial version 0.1.0
Package: fieldopt
Title: Area-Frame and Dual-Frame Survey Design under Real Field Cost
Version: 0.1.0
Description: Design of agricultural and other area-frame and dual-frame (area plus list) sample surveys that go to the field, with the real cost of field work (travel between sampling units plus interviews) next to the variance of the design-based estimator. Travel matrices from coordinates or a road network; GRASP routing of the field work for one or several teams; stratified spatially balanced (local pivotal) or spatially ordered systematic selection of segments with interpenetrating replicates; points inside segments with multiplicity (expected-hits) estimation; closed, open and weighted segment estimators; Horvitz-Thompson estimation with local-mean or replicate variances; cost-aware allocation across strata, Hartley's dual-frame allocation with an overlap, and two-stage allocation with a cost function; and the cost-variance frontier of a design by simulation. The computational engine is the Rust crate 'fieldopt-core'.
License: GPL (>= 3)
URL: https://castlaboratory.github.io/fieldopt/, https://github.com/castlaboratory/fieldopt
BugReports: https://github.com/castlaboratory/fieldopt/issues
Depends: R (>= 4.2)
Imports: cli, generics, ggplot2, rlang, stats, tibble
Suggests: arrow, BalancedSampling, dplyr, highs, knitr, osrm, purrr, Matrix, rmarkdown, sf, survey, testthat (>= 3.0.0), tidyr, vrpr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70.0, xz
NeedsCompilation: yes
Packaged: 2026-10-10 21:46:00 UTC; leite
Author: Andre Leite [aut, cre] , Raydonal Ospina [aut] , Cristiano Ferraz [aut] , The authors of the dependency Rust crates [ctb]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-10-21 18:50:02 UTC

More information about fieldopt at CRAN
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New package tsexplorer with initial version 0.1.0
Package: tsexplorer
Title: Exploratory and Diagnostic Tools for Time Series and Forecasts
Version: 0.1.0
Description: Exploratory, descriptive and diagnostic tools for univariate and multivariate time series and tools to evaluate and compare forecasts: summary statistics and gaussianity tests; sample autocorrelation functions with the Ljung and Box (1978) <doi:10.1093/biomet/65.2.297> and Monti (1994) <doi:10.2307/2337080> tests; information criteria and Granger (1969) <doi:10.2307/1912791> causality; unit root tests of Dickey and Fuller (1979) <doi:10.1080/01621459.1979.10482531> and Phillips and Perron (1988) <doi:10.1093/biomet/75.2.335>; the cointegration test of Johansen (1988) <doi:10.1016/0165-1889(88)90041-3>; heteroskedasticity tests; non-linearity tests of McLeod and Li (1983) <doi:10.1111/j.1467-9892.1983.tb00373.x>, Tsay (1986) <doi:10.1093/biomet/73.2.461> and Brock, Dechert, Scheinkman and LeBaron (1996) <doi:10.1080/07474939608800353>; spectral analysis; and forecast accuracy measures with the Diebold and Mariano (1995) <doi:10.10 [...truncated...]
License: GPL-3
URL: https://github.com/djpedregal/tsexplorer
BugReports: https://github.com/djpedregal/tsexplorer/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats, utils
Suggests: shiny, tcltk, testthat (>= 3.0.0), jsonlite, tseries, urca, xts, zoo
NeedsCompilation: no
Packaged: 2026-10-13 08:10:03 UTC; diego.pedregal
Author: Diego J. Pedregal [aut, cre, cph], Ludwig Kanzler [ctb]
Maintainer: Diego J. Pedregal <diego.pedregal@uclm.es>
Repository: CRAN
Date/Publication: 2026-10-21 17:50:02 UTC

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New package survHC with initial version 0.1.0
Package: survHC
Title: Higher Criticism Tests for Non-Proportional Hazard Deviations
Version: 0.1.0
Description: Implements omnibus tests for comparing two right-censored survival samples that are powerful against sparse departures from equal hazards, where the hazard difference is concentrated in a small and a priori unknown subset of the follow-up. Exact hypergeometric p-values are computed for each time interval and aggregated with the Higher Criticism statistic of Donoho and Jin (2004) <doi:10.1214/009053604000000265>, or alternatively with the Berk-Jones, Fisher or minimum-p statistics. Global p-values are obtained by permuting group labels, and the intervals driving a detection can be recovered for diagnostic plotting. Tests accept either two samples as vectors or the usual survival formula. The method is described in Kipnis, Galili and Yakhini (2026) <doi:10.1093/biomet/asaf075>, and the companion application note is Kipnis, Galili and Yakhini (2026) <doi:10.48550/arXiv.2610.07268>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics
Suggests: survival
URL: https://github.com/alonkipnis/lifelines-hc/tree/main/R-package/survHC
BugReports: https://github.com/alonkipnis/lifelines-hc/issues
NeedsCompilation: no
Packaged: 2026-10-12 19:43:22 UTC; kipnisal
Author: Alon Kipnis [aut, cre], Ben Galili [aut], Zohar Yakhini [aut]
Maintainer: Alon Kipnis <alonkipnis@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 17:20:02 UTC

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New package publishTC with initial version 0.2.3
Package: publishTC
Title: Tools to Help to Publish the Trend-Cycle Component
Version: 0.2.3
Description: Tools to facilitate the computation of the trend-cycle component of time series. In particular, the computation can be performed using: the Cascade Linear Filter ('CLF', Dagum and Luati, 2008), classical Henderson symmetric filters with surrogate Musgrave asymmetric filters, local parameterizations of Musgrave filters (Quartier-la-Tente, 2024), and robust extensions taking into account additive outliers and level shifts (Quartier-la-Tente, 2025). Computes confidence intervals and provides specialized plotting functions for publication.
LazyData: true
Depends: R (>= 4.1.0)
Imports: rJava, rjd3filters (>= 2.4.0), rjd3x13 (>= 3.3.0), ggplot2, zoo, rjd3jars (>= 0.0.5)
URL: https://github.com/AQLT/publishTC, https://aqlt.github.io/publishTC/
BugReports: https://github.com/AQLT/publishTC/issues
SystemRequirements: Java (>= 17)
License: EUPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-12 20:08:27 UTC; alainquartierlatente
Author: Alain Quartier-la-Tente [aut, cre, cph]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>
Repository: CRAN
Date/Publication: 2026-10-21 17:30:02 UTC

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New package powerutilities with initial version 0.7.1
Package: powerutilities
Title: Power Analysis for Linear and Generalized Linear Mixed Models
Description: Prospective power analysis and design planning using the "plug-in" approach described by Piepho et al. (2022) <doi:10.1017/S0021859622000466> and Stroup, Ptukhina and Garai (2024) <doi:10.1201/9780429092060-24>. Expected treatment means and the proposed experimental design are encoded in an artificial data set, and a model is "fit" to it with random effect variances, correlations and residual dispersion fixed at user-specified values rather than being estimated. The resulting standard errors are used to compute the power of F-tests and user-defined contrasts, as well as Type S (sign) and Type M (magnitude) error rates (Gelman and Carlin, 2014 <doi:10.1177/1745691614551642>). Models are fit with 'glmmTMB', so the approach accommodates non-normal responses, heteroscedasticity, nested and crossed random effects, correlated random slopes, and structured covariances such as AR(1) and spatial correlation. Helper functions convert standard deviations and correlations into th [...truncated...]
Version: 0.7.1
Depends: R (>= 4.1.0)
Imports: dplyr, emmeans, glmmTMB (>= 1.1.14), pbkrtest, reformulas,retrodesign, rlang
Suggests: agridat, knitr, rmarkdown, testthat (>= 3.0.0), tidyr
License: BSD_3_clause + file LICENSE
URL: https://github.com/SimonShamusRiley/powerutilities/tree/main
BugReports: https://github.com/SimonShamusRiley/powerutilities/issues
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-13 07:40:02 UTC; Simon
Author: Simon Riley [aut, cre]
Maintainer: Simon Riley <ssriley@protonmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 17:50:09 UTC

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New package DetectOutlier with initial version 0.1.1
Package: DetectOutlier
Title: Detect Outliers in Data Frames and Export Results
Version: 0.1.1
Maintainer: Prakash Kumar <prakash289111@gmail.com>
Description: Identifies potential outliers in numeric columns of a data frame using the interquartile range (IQR), defined as the difference between the third and first quartiles. Values below the first quartile minus 1.5 times the IQR or above the third quartile plus 1.5 times the IQR are flagged as potential outliers. The package can export rows containing outliers to comma-separated values (CSV) files and create 'Excel' workbooks with outlier values highlighted and a summary of outlier counts.
Depends: R (>= 4.0)
Imports: openxlsx
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-13 04:36:59 UTC; iasri
Author: Prakash Kumar [aut, cre], Himadri Sekhar Roy [aut], Ranjit Kumar Paul [aut], Md. Yeasin [aut], Paritosh Kumar ICAR-NIASM [aut], Amrit Kumar Paul [aut]
Repository: CRAN
Date/Publication: 2026-10-21 17:30:09 UTC

More information about DetectOutlier at CRAN
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New package convertxlsform with initial version 0.3.0
Package: convertxlsform
Title: Convert an 'XLSForm' to a 'Word' or PDF Document
Version: 0.3.0
Description: Converts 'XLSForm' questionnaires, as used by 'Open Data Kit' ('ODK') and 'KoboToolbox', into formatted paper versions for interviewing and review. See <https://xlsform.org> for the 'XLSForm' standard. Output is a 'Word' document ('.docx') or, optionally, a PDF produced from that 'Word' document with 'LibreOffice'. Supports multilingual forms, nested question numbering, skip logic display, and question and choice media.
License: MIT + file LICENSE
URL: https://github.com/masud90/convertxlsform
BugReports: https://github.com/masud90/convertxlsform/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: cli, flextable (>= 0.9.5), magrittr, officer (>= 0.6.9), readxl, rlang, stats, tools, utils, zip
Suggests: doconv, knitr, rmarkdown, testthat (>= 3.0.0), withr, writexl
SystemRequirements: 'LibreOffice' (optional, for PDF output)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-13 07:24:37 UTC; masud
Author: Masud Rahman [aut, cre, cph]
Maintainer: Masud Rahman <write2masud+convertxlsform@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 17:40:18 UTC

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New package zinbcdpmm with initial version 0.1.0
Package: zinbcdpmm
Title: Bayesian ZINB-Ordinal Joint Model with CDPMM Random Effects
Version: 0.1.0
Description: Fits a Bayesian joint model for longitudinal zero-inflated negative binomial (ZINB) and ordinal outcomes with shared random effects under a centered Dirichlet process mixture model (CDPMM) prior. Provides a blocked Gibbs sampler with Polya-Gamma (PG) and Chinese restaurant table data augmentation, plus helpers for simulation and posterior summaries based on the deviance information criterion (DIC), the widely applicable information criterion (WAIC) and the leave-one-out information criterion (LOOIC). The PG augmentation follows Polson, Scott and Windle (2013) <doi:10.1080/01621459.2013.829001>, the zero-inflated negative binomial construction follows Neelon (2019) <doi:10.1214/18-BA1132>, and the centered Dirichlet process mixture prior follows Tang, Tang and Pan (2014) <doi:10.1016/j.csda.2014.02.015>.
License: MIT + file LICENSE
URL: https://github.com/Liang-ShuQing/zinb-ordinal-cdpmm-code
BugReports: https://github.com/Liang-ShuQing/zinb-ordinal-cdpmm-code/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: BayesLogit, mvtnorm, MCMCpack, truncnorm, loo, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-12 08:00:56 UTC; lenovo
Author: Shuqing Liang [aut, cre], Jiang Du [aut]
Maintainer: Shuqing Liang <lsq19853500795@163.com>
Repository: CRAN
Date/Publication: 2026-10-21 16:40:02 UTC

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New package rjd3highfreq with initial version 3.0.1
Package: rjd3highfreq
Title: Seasonal Adjustment of High Frequency Data with 'JDemetra+ 3.x'
Version: 3.0.1
Description: R interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>), the time series analysis software. It provides functions for seasonal adjustment of higher-frequency data, including those with multiple or non-integer periodicities. It includes pre-adjustment via the extended airline model and several seasonal decomposition methods: extended airline model based decomposition, extended X-11, and augmented STL.
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), rjd3toolkit (>= 3.7.1), rjd3xjars (>= 0.1.0)
SystemRequirements: Java (>= 21)
License: EUPL-1.2
URL: https://github.com/rjdverse/rjd3highfreq/, https://rjdverse.github.io/rjd3highfreq/
Suggests: knitr, rmarkdown, testthat
BugReports: https://github.com/rjdverse/rjd3highfreq/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-12 05:07:16 UTC; s3504do
Author: Jean Palate [aut], Daniel Ollech [cre, ctb], Christiane Hofer [ctb], Witthohn Thomas [ctb], Lea Hengen [ctb], Martin Stefan [ctb], Alessandro Piovani [ctb], Tanguy Barthelemy [ctb, art], Karsten Webel [ctb]
Maintainer: Daniel Ollech <daniel.ollech@bundesbank.de>
Repository: CRAN
Date/Publication: 2026-10-21 16:10:02 UTC

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New package openstudyval with initial version 0.1.1
Package: openstudyval
Title: Open Validator for FDA Study-Data Submissions
Version: 0.1.1
Description: Validates clinical and nonclinical study-data packages against publicly described FDA technical-rejection criteria, SAS XPORT constraints from the Study Data Technical Conformance Guide, and an extensible catalog of SDTM, SEND, and ADaM structural conformance checks. Reads a study folder of CSV, RDS, or (when the suggested package haven is installed) SAS v5/v8 transport files, optionally checks define.xml, and writes a submission-style HTML and CSV validation report. This package is an independent open-source implementation. It is not affiliated with, endorsed by, or a copy of Pinnacle 21, Certara, or the FDA.
License: MIT + file LICENSE
URL: https://github.com/shekharchalwadigrepo-hub/openstudyval
BugReports: https://github.com/shekharchalwadigrepo-hub/openstudyval/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, tools, utils
Suggests: haven, xml2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-12 10:04:38 UTC; skrch
Author: Shekhar Eranna Chalwadi [aut, cre]
Maintainer: Shekhar Eranna Chalwadi <skrchalwadicg@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 16:30:02 UTC

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New package geopt with initial version 0.1.0
Package: geopt
Title: Tools to Access and Map Spatial Datasets of Portugal
Version: 0.1.0
Description: Tools to download, process, and visualize official spatial datasets for Portugal. Get administrative boundaries at all levels and other geographic data ready for mapping. Data from Statistics Portugal (INE), for example retrieved with the 'ineptr2' package, can be joined to the boundaries by place name or code, including names from earlier boundary reforms.
License: MIT + file LICENSE
URL: https://c-matos.github.io/geopt/, https://github.com/c-matos/geopt
BugReports: https://github.com/c-matos/geopt/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: R6, sf, httr2 (>= 1.0.0), geojsonsf, digest
Suggests: rmapshaper, stringdist, ggplot2, tmap, echarts4r, htmlwidgets, dplyr, plotly, knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-12 12:18:49 UTC; CM
Author: Carlos Matos [aut, cre, cph]
Maintainer: Carlos Matos <carlosmdmatos@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 16:50:18 UTC

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New package exactcond with initial version 0.2.0
Package: exactcond
Title: Exact Conditional Reference Distributions for Tables and Selected Linear Models
Version: 0.2.0
Description: Reference distributions that are exact at every sample size, obtained by conditioning on a statistic sufficient for the nuisance parameter rather than by appealing to an asymptotic approximation. Two forms of conditioning are supplied. For a two-way table the row and column totals are sufficient for the marginal parameters, so conditioning on both margins leaves the Fisher-Yates law, sampled here exactly by random permutation of the column labels; statistics include Goodman's linear-by-linear association and, for nominal rows against an ordinal column, the dispersion of the row mean scores, whose components are the group contrasts themselves. A two-table form conditions further on the total score to cancel a common association parameter, giving a nuisance-free test that two tables share it. For a linear model under a null in which the tested structure is absent, a statistic invariant to the coefficients and the error scale depends on the data only through the residual direction, which [...truncated...]
URL: https://github.com/mtloots/exactcond
BugReports: https://github.com/mtloots/exactcond/issues
License: GPL-3
Encoding: UTF-8
Imports: stats
NeedsCompilation: yes
Suggests: testthat (>= 3.0.0)
Packaged: 2026-10-12 08:11:04 UTC; home
Author: M. Theodor Loots [aut, cre]
Maintainer: M. Theodor Loots <theo.loots@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 16:30:14 UTC

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New package anotherSAS7bdat with initial version 0.0.7
Package: anotherSAS7bdat
Title: Read 'SAS' Data in Chunks and Convert to 'Parquet'
Version: 0.0.7
Description: Reads 'SAS' 'sas7bdat' files through a persistent native reader. Processes configurable chunks without reopening the input or restarting the parser between chunks. Supports uncompressed, run-length encoded, and Ross Data Compression data through the bundled 'ReadStat' library. Also streams native decoded batches directly to 'Parquet' through the 'Arrow' C Data Interface and the optional 'arrow' package, without constructing R data frames.
License: MIT + file LICENSE
URL: https://github.com/Fred-Wu/anotherSAS7bdat
BugReports: https://github.com/Fred-Wu/anotherSAS7bdat/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, hms, utils
LinkingTo: Rcpp
Suggests: testthat (>= 3.1.7), haven, arrow (>= 14.0.0)
SystemRequirements: C++17, POSIX threads, iconv
NeedsCompilation: yes
Packaged: 2026-10-12 13:21:47 UTC; 60168126
Author: Jianyun Wu [aut, cre], Evan Miller [aut, cph]
Maintainer: Jianyun Wu <jianyun.fred.wu@hotmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 16:50:30 UTC

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New package taruwind with initial version 0.1.1
Package: taruwind
Title: Reduced-Mode Terrain and Surface Wind Downscaling
Version: 0.1.1
Description: Constructs reusable local wind responses using a neutral terrain-following reduced-vertical-mode adjustment and exact raster-ray integration of finite-fetch surface memory. Explicit metric-grid inputs separate terrain, target aerodynamic roughness and the effective source profile. Prepared responses can be applied to wind-component time series without target-site wind calibration. This diagnostic approximation does not resolve turbulence or guarantee conservation of the final field.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS for bundled third-party components.
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: Rcpp, tibble, curl, jsonlite, parallel
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), terra, Rarr, lutz, ncdf4
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-10-11 07:54:33 UTC; cemozen
Author: Cem Oezen [aut, cre], Martin Reinecke [ctb] , Peter Bell [ctb, cph] , Matteo Frigo [ctb, cph] , Tan Ping Liang [ctb, cph] , Cris Luengo [ctb, cph] , Max-Planck-Society [cph] , Massachusetts Institute of Technology [cph]
Maintainer: Cem Oezen <ozenc@itu.edu.tr>
Repository: CRAN
Date/Publication: 2026-10-21 15:10:02 UTC

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New package ssurvdr with initial version 0.1.0
Package: ssurvdr
Title: Sparse Survival Dimension Reduction for High-Dimensional Censored Data
Version: 0.1.0
Description: Implements sparse survival sufficient dimension reduction methods for high-dimensional censored data, including covariance-stabilised SAVE, Maximum Entropy Covariance estimation, information-complexity-guided variable weighting, dual-space high-dimensional SAVE computation, row-wise post-estimation sparsification paths, and Cox proportional hazards model selection.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, MASS, survival
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/ilovemaths/ssurvdr
BugReports: https://github.com/ilovemaths/ssurvdr/issues
NeedsCompilation: no
Packaged: 2026-10-11 19:06:28 UTC; DR OLOREDE
Author: Kabir Opeyemi Olorede [aut, cre]
Maintainer: Kabir Opeyemi Olorede <kabir.olorede@kwasu.edu.ng>
Repository: CRAN
Date/Publication: 2026-10-21 15:50:01 UTC

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New package metrictrails with initial version 1.0.0
Package: metrictrails
Title: Processing of GNSS Streams from Sports Watches
Version: 1.0.0
Description: Tools to read, clean and standardise GNSS (Global Navigation Satellite System) streams recorded by sports watches and similar devices, with a focus on trail and mountain running. The pipeline reads GPX files, applies a naming convention, sanitises coordinates (Kalman, LOESS, Gaussian kernel or Savitzky-Golay smoothing, and red flags for implausible readings), resamples the trajectory to a uniform spatial resolution derived from the Nyquist criterion, and replaces elevation with values from a Digital Elevation Model. Derived measures include speed, slope, elevation gain and kilometre-effort, Tobler hiking function parameters fitted by quantile regression, comparison between streams, detection of passes along a route and map matching to a known reference trail by dynamic programming. Methods follow Sanchez and Villena (2020) <doi:10.1177/1754337120918975>, Sanchez et al. (2024) <doi:10.1109/ICECET61485.2024.10698606>, Sanchez et al. (2025) <doi:10.1177/17543371251341660> [...truncated...]
URL: https://github.com/raimun2/metrictrails
BugReports: https://github.com/raimun2/metrictrails/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: magrittr, sf, stats, terra, tibble, utils
Suggests: curl, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 10:28:13 UTC; raimu
Author: Raimundo Sanchez [aut, cre]
Maintainer: Raimundo Sanchez <raimundosanchezu@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:20:02 UTC

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New package l1penSVMs with initial version 0.1.0
Package: l1penSVMs
Title: Regularization Paths of L1-Penalized SVMs
Version: 0.1.0
Description: Computes regularization paths for L1-penalized support vector machine (SVM) models, including the standard SVM, receiver operating characteristic SVM (ROC-SVM), and fraud detection SVM (FD-SVM). The package implements efficient path algorithms to obtain solutions over a wide range of regularization parameter values. It also provides cross-validation for selecting an optimal regularization parameter, along with functions for prediction, visualization, and summarization of the fitted models. For more details, see Zhu et al. (2003) <https://proceedings.neurips.cc/paper_files/paper/2003/file/49d4b2faeb4b7b9e745775793141e2b2-Paper.pdf>, Kim et al. (2021) <doi:10.1002/sta4.400>, Park et al. (2023) <doi:10.1007/s42952-023-00207-6>.
License: GPL-3
Encoding: UTF-8
Imports: lpSolve, fastDummies, MASS
NeedsCompilation: no
Packaged: 2026-10-11 13:21:01 UTC; skhw7
Author: Hyungwoo Kim [aut, cre], Minhyoung Park [aut], Seung Jun Shin [aut]
Maintainer: Hyungwoo Kim <khw7682@pknu.ac.kr>
Repository: CRAN
Date/Publication: 2026-10-21 16:00:02 UTC

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New package kbaabb with initial version 0.0.1
Package: kbaabb
Title: Generates an Artificial Population Based on the KBAABB Methodology
Version: 0.0.1
Description: Provides tools for generating an artificial population based on a kNN-based approximation to the approximate Bayesian bootstrap (KBAABB). This methodology is described in White et al. (2025) <doi:10.1093/forestry/cpaf071>.
License: CC0
Encoding: UTF-8
Imports: FNN
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-11 15:48:19 UTC; leland
Author: Grayson W. White [aut, cre] , Jerzy A. Wieczorek [aut], Leland Russell [aut], Samantha Schroeder [aut], Tracey S. Frescino [aut], Kelly S. McConville [aut]
Maintainer: Grayson W. White <graysonwhite13@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:40:02 UTC

More information about kbaabb at CRAN
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New package geopytorch with initial version 0.1.0
Package: geopytorch
Title: R Interface to 'GeoPyTorch'
Version: 0.1.0
Description: Fits ordinary kriging and spatial linear models through 'reticulate' with the 'GeoPyTorch' 'Python' package, which is built on 'GPyTorch' and 'PyTorch'. Covariance parameters can be fixed or estimated by maximum likelihood or restricted maximum likelihood, and predictions include their variances. 'Python' and the required packages are installed on first use by 'reticulate'.
License: MIT + file LICENSE
URL: https://github.com/dbtnc/geopytorch
BugReports: https://github.com/dbtnc/geopytorch/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: reticulate (>= 1.41.0), stats
Suggests: testthat (>= 3.0.0)
SystemRequirements: Python (>= 3.12)
NeedsCompilation: no
Packaged: 2026-10-11 01:00:11 UTC; homegamer
Author: Daniel Tinoco [aut, cre]
Maintainer: Daniel Tinoco <dbtnc.ps2@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:10:08 UTC

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New package flexMatch with initial version 0.1.0
Package: flexMatch
Title: Flexible Matching for Stacked Difference-in-Differences
Version: 0.1.0
Description: Tools for building stacked difference-in-differences samples in staggered-adoption settings. The package labels valid treated and control candidates, performs cross-sectional matching, expands matched units into event-time stacks, and returns diagnostics for balance assessment and visualization.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Imports: data.table, ggplot2, MatchIt, scales
Suggests: fixest, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/avkazakovgit/flexMatch
BugReports: https://github.com/avkazakovgit/flexMatch/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 18:17:41 UTC; avkazakov
Author: Aleksandr Kazakov [aut, cre, cph]
Maintainer: Aleksandr Kazakov <avkazakov@proton.me>
Repository: CRAN
Date/Publication: 2026-10-21 15:40:08 UTC

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New package ET0RadModels with initial version 1.0.0
Package: ET0RadModels
Title: Evapotranspiration Estimation Using Radiation-Based Models
Version: 1.0.0
Description: Provides functions to estimate daily reference evapotranspiration (ET0) using 10 radiation-based empirical models, with the Food and Agriculture Organization (FAO) Penman-Monteith method included as the standard reference for model comparison. Includes statistical evaluation metrics, such as Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE), mean absolute error (MAE), and mean bias error (MBE), and visualization tools (scatter plots and Taylor diagrams). Based on Singh et al. (2026) <doi:10.1016/j.ejrh.2026.103925>.
License: GPL (>= 3)
URL: https://github.com/samirigfri/ET0RadModels
BugReports: https://github.com/samirigfri/ET0RadModels/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: graphics, grDevices, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 10:14:23 UTC; usr
Author: Ajay N. Satpute [aut], Samir Barman [aut, cre] , Amit Kumar Singh [aut], Avijit Ghosh [aut], Gaurendra Gupta [aut]
Maintainer: Samir Barman <samir.igfri@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:10:15 UTC

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New package ET0MassModels with initial version 1.0.0
Package: ET0MassModels
Title: Evapotranspiration Estimation Using Mass Transfer-Based Models
Version: 1.0.0
Description: Provides functions to estimate daily reference evapotranspiration (ET0) using 10 mass transfer-based empirical models, with the Food and Agriculture Organization (FAO) Penman-Monteith method included as the standard reference for model comparison. Includes statistical evaluation metrics, such as Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE), mean absolute error (MAE), and mean bias error (MBE), and visualization tools (scatter plots and Taylor diagrams). Based on Singh et al. (2026) <doi:10.1016/j.ejrh.2026.103925>.
License: GPL (>= 3)
URL: https://github.com/samirigfri/ET0MassModels
BugReports: https://github.com/samirigfri/ET0MassModels/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: graphics, grDevices, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 10:04:25 UTC; usr
Author: Ajay N. Satpute [aut], Samir Barman [aut, cre] , Amit Kumar Singh [aut], Avijit Ghosh [aut], Gaurendra Gupta [aut]
Maintainer: Samir Barman <samir.igfri@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:10:22 UTC

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New package cndplantanalysis with initial version 1.0.2
Package: cndplantanalysis
Title: Compositional Nutrient Diagnosis for Plant Tissue Analysis
Version: 1.0.2
Description: Provides an implementation of Compositional Nutrient Diagnosis (CND) for plant tissue tests. Computes scale invariant simplex filling values(Rd), row-centered log-ratios (CLR), iterative database partitioning via Cate-Nelson procedures, cubic polynomial regression of cumulative variance ratio functions to determine inflection point yield cutoffs, critical CND nutrient imbalance thresholds (r^2) using the chi-square distribution, diagnostic standardized indices (Ix) and automated Cate Nelson scatter partitioning. Includes linear, non-linear, cumulative variance, chi-square and quadrant plotting functions.Methodology and theoretical frameworks are grounded in Parent and Dafir (1992) <doi:10.21273/JASHS.117.2.239> and Khiari et al. (2001) <doi:10.2134/agronj2001.934802x>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, graphics, utils, stats
Suggests: readxl, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-11 17:24:00 UTC; bejoy
Author: Blesson B. Varghese [aut, cre], Rohith A K [aut], Anjali S. [aut], Aliya Shirin K S [aut], Hilal Mohamed [aut]
Maintainer: Blesson B. Varghese <blessonvarghese1234@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:40:13 UTC

More information about cndplantanalysis at CRAN
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New package cdtr with initial version 0.1.0
Package: cdtr
Title: Constrained Delaunay Triangulation with Refinement
Version: 0.1.0
Description: Binding to the 'CDT' header-only C++ library: constrained and conforming Delaunay triangulation, Ruppert refinement by area or minimum angle (Ruppert, 1995, <doi:10.1006/jagm.1995.1021>), resolution of crossing constraints, and topological region depth per triangle. Aimed at replacing 'RTriangle' in 'anglr'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LinkingTo: cpp11
Suggests: bench, RTriangle, sf, testthat (>= 3.0.0)
URL: https://github.com/hypertidy/cdtr, https://hypertidy.github.io/cdtr/
BugReports: https://github.com/hypertidy/cdtr/issues
NeedsCompilation: yes
Packaged: 2026-10-11 10:57:07 UTC; mdsumner
Author: Michael Sumner [aut, cre], Leica Geosystems Technology AB [cph] , CDT Contributors [ctb, cph] , William C. Lenthe [ctb, cph] )
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:20:09 UTC

More information about cdtr at CRAN
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New package b3gbi with initial version 1.1.3
Package: b3gbi
Title: General Biodiversity Indicators for Biodiversity Data Cubes
Version: 1.1.3
Description: Calculate general biodiversity indicators from species occurrence cubes, such as those produced by the 'GBIF' (Global Biodiversity Information Facility) occurrence cube service <https://techdocs.gbif.org/en/data-use/data-cubes>. Indicators include observed and coverage-based rarefied species richness and Hill numbers (via 'iNEXT'), evenness, rarity, taxonomic distinctness, occupancy, turnover and sample completeness, and can be calculated over time (time series) or space (maps), with bootstrap confidence intervals. Cubes using the EEA reference grid, MGRS, the extended quarter-degree grid (EQDGC) or ISEA3H grids are supported. For details see Dove (2026) <doi:10.21105/joss.10963>.
License: MIT + file LICENSE
URL: https://github.com/b-cubed-eu/b3gbi, https://b-cubed-eu.github.io/b3gbi/
Depends: R (>= 3.5.0)
Imports: boot, dplyr, ggplot2, iNEXT, magrittr, purrr, readr, rlang, rnaturalearth, scales, sf, stringr, tibble, tidyr, tidyselect, units
Suggests: bit64, dggridR, dubicube, knitr, mapview, mockery, mockr, patchwork, RColorBrewer, rgbif (>= 3.7.0), rmarkdown, rnaturalearthdata, rnaturalearthhires, testthat (>= 3.0.0), withr
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr, rmarkdown
Additional_repositories: https://b-cubed-eu.r-universe.dev, https://ropensci.r-universe.dev
BugReports: https://github.com/b-cubed-eu/b3gbi/issues
NeedsCompilation: no
Packaged: 2026-10-11 10:08:50 UTC; Shawn
Author: Shawn Dove [aut, cre] , Ward Langeraert [ctb] , Peter Desmet [ctb] , University of Giessen [cph], European Union [fnd]
Maintainer: Shawn Dove <Shawn.Dove@allzool.bio.uni-giessen.de>
Repository: CRAN
Date/Publication: 2026-10-21 15:40:19 UTC

More information about b3gbi at CRAN
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New package zufast with initial version 0.1.0
Package: zufast
Title: Fast Portable 'C' Primitives for Parsing and Formatting Data
Version: 0.1.0
Description: A header-only library of small, fast, portable 'C99' primitives for converting external text and bytes into native values and back: correctly rounded number parsing (from 'fast_float', through its 'C' port 'ffc.h'), shortest round-trip number formatting (from 'Ryu'), ISO 8601 dates and timestamps, booleans, universally unique identifiers (UUIDs), hexadecimal and Base64, 'XXH3' hashing (from 'xxHash'), half-precision floats, endian helpers and UTF-8 validation. Other packages use it through 'LinkingTo' alone; the 'R' functions exist to test, benchmark and demonstrate the 'C' layer.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS.
URL: https://pedrobtz.github.io/zufast/, https://github.com/pedrobtz/zufast
BugReports: https://github.com/pedrobtz/zufast/issues
Depends: R (>= 4.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-10 06:16:54 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Bjoern Hoehrmann [cph] , Daniel Lemire [cph] , Joao Paulo Magalhaes [cph] , The fast_float authors [cph] , Koleman Nix [cph] , Ulf Adams [cph] , Yann Collet [cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:30:02 UTC

More information about zufast at CRAN
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New package zucbor with initial version 0.1.0
Package: zucbor
Title: Deterministic and Secure CBOR Encoding and Decoding
Version: 0.1.0
Description: Encodes R values as Concise Binary Object Representation (CBOR, RFC 8949; Bormann and Hoffman (2020) <doi:10.17487/RFC8949>) and decodes CBOR into ordinary R vectors and lists. Decoding checks the whole input against configurable depth, size and item limits before any R object is built, so untrusted input from network peers and devices cannot drive large allocations. Encoding is deterministic: identical R objects always produce identical bytes. Uses a bundled copy of the 'TinyCBOR' library (<https://github.com/intel/tinycbor>), so no system library is required.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS and src/vendor/PROVENANCE.
URL: https://github.com/pedrobtz/zucbor, https://pedrobtz.github.io/zucbor/
BugReports: https://github.com/pedrobtz/zucbor/issues
Depends: R (>= 4.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-10-10 06:52:47 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Thiago Macieira [aut] , Intel Corporation [cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:30:08 UTC

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New package VasGBIF with initial version 3.7.1
Package: VasGBIF
Title: Fast and Easy Compilation of Vascular Plants Occurrence Records from 'GBIF'
Version: 3.7.1
Date: 2026-10-11
Maintainer: Yuxuan Wang <wyx1743@gmail.com>
URL: https://github.com/wyx619/VasGBIF (devel), https://wyx619.github.io/VasGBIF/ (documentation)
BugReports: https://github.com/wyx619/VasGBIF/issues
Description: 'GBIF' <https://www.gbif.org/> hosts over 500 million occurrence records of tracheophyte (vascular plants). However, dealing with them typically involves lots of workflows and time, posing significant challenges for researchers. To address these limitations, we present 'VasGBIF', a fast and easy 'R' package to parse and merge enormous tracheophyte records.
License: GPL (>= 3.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1),data.table,bit64
Imports: dplyr,stringi,terra (>= 1.8-10),CoordinateCleaner,TNRS,geohashTools,mapview,foreach,doParallel
Suggests: knitr, leaflet, rmarkdown, rnaturalearth, sf, rgbif, letsR, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 04:36:37 UTC; MSI
Author: Yuxuan Wang [aut, cre]
Repository: CRAN
Date/Publication: 2026-10-21 15:00:20 UTC

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New package TSGenerator with initial version 2.0.0
Package: TSGenerator
Title: 'Copernicus' HR-VPP Vegetation Time-Series Processing
Version: 2.0.0
Description: Provides tools for acquiring, extracting, quality-assessing, and analysing vegetation time series derived from 'Copernicus' High Resolution Vegetation Phenology and Productivity (HR-VPP) products. Supports Seasonal Trajectories (ST) and Vegetation Phenology and Productivity (VPP) products through native R access to 'WEkEO', geospatial processing, product-quality assessment, temporal completeness analysis, missingness modelling, and integrated graphical workflows. Selected functions from 'TSGenerator' 1.x are retained to support migration and legacy workflows.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/avalero92/TSGenerator
BugReports: https://github.com/avalero92/TSGenerator/issues
Imports: hdar, jsonlite, stringr, utils, ggplot2, mgcv, scales, shiny, shinydashboard, shinyjs, shinycssloaders, DT, readr, terra
Suggests: imputeTS, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-10 17:34:03 UTC; runner
Author: Alexey Valero-Jorge [aut, cre] , M. Auxiliadora Casterad Seral [aut] , Jose-Tomas Alcala Nalvaiz [aut]
Maintainer: Alexey Valero-Jorge <avalero@cita-aragon.es>
Repository: CRAN
Date/Publication: 2026-10-21 14:50:19 UTC

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New package sundials with initial version 7.9.0-1
Package: sundials
Title: Vendored 'SUNDIALS' Solver Suite for Linking by Other Packages
Version: 7.9.0-1
Date: 2026-10-10
Description: Bundles the pure-C part of the 'SUNDIALS' suite (CVODE, CVODES, ARKODE, IDA, IDAS and KINSOL with the serial vector and the dense, band and iterative linear solvers) and builds it into a static library. Other packages use it by adding 'sundials' to 'LinkingTo' for the headers and calling sundials::LdFlags() from their 'Makevars' to link the library. No 'Fortran', 'MPI', GPU or external third-party-library modules are included. 'SUNDIALS' is described in Hindmarsh et al. (2005) <doi:10.1145/1089014.1089020>.
License: BSD_3_clause + file LICENSE
Copyright: file inst/COPYRIGHTS
URL: https://github.com/Konrad1991/sundials, https://computing.llnl.gov/projects/sundials
BugReports: https://github.com/Konrad1991/sundials/issues
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: GNU make
Suggests: tinytest, Rcpp, deSolve
Packaged: 2026-10-10 09:59:37 UTC; konrad
Author: Konrad Kraemer [aut, cre], Lawrence Livermore National Security [cph] , Southern Methodist University [cph] , University of Maryland Baltimore County [cph] , SUNDIALS contributors [aut, cph]
Maintainer: Konrad Kraemer <konrad_kraemer@yahoo.de>
Repository: CRAN
Date/Publication: 2026-10-21 14:30:15 UTC

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New package sbert with initial version 0.5.8
Package: sbert
Title: Topic Modeling with 'Sentence-BERT' Embeddings
Version: 0.5.8
Description: Builds semantic topic models from 'Sentence-BERT' embeddings (Reimers and Gurevych, 2019) <doi:10.18653/v1/D19-1410>. Sentence embeddings are computed in several modes with models run on the Open Neural Network Exchange ('ONNX') Runtime, including multilingual and long-context encoders and a fast static model. Topics are labeled with class-based term weighting that can be retuned without refitting. Candidate topic counts and document granularities (whole documents, sentences, clauses, or phrases) can be compared side by side, and fitted models assign topics to new documents, give soft memberships and per-document topic mixtures. The package offers coherence and diversity metrics and visualizations.
License: MIT + file LICENSE
URL: https://sonsoles.me/sbert/, https://github.com/sonsoleslp/sbert
BugReports: https://github.com/sonsoleslp/sbert/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: digest, grDevices, graphics, onnxr (>= 0.1.2), parallel, tok (>= 0.2.3), stats, tools, utils
Suggests: SnowballC, jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), withr
SystemRequirements: ONNX Runtime (>= 1.25.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 17:02:15 UTC; slopezpe
Author: Mohammed Saqr [aut, cph] , Sonsoles Lopez-Pernas [aut, cre, cph]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>
Repository: CRAN
Date/Publication: 2026-10-21 14:20:02 UTC

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New package reconf with initial version 0.2.0
Package: reconf
Title: Confidence Intervals for Random Effect Parameters in Linear Mixed Models
Version: 0.2.0
Description: Computes score-based confidence intervals and hypothesis tests for variance and covariance parameters of random effects in linear mixed models fitted with 'lme4'. The intervals invert a profile score statistic on the variance-covariance scale, with nuisance parameters estimated on an extended parameter set. The intervals have near-nominal coverage uniformly in the parameter, including near the boundary of the parameter space, where Wald and likelihood ratio intervals can be unreliable. The methods are described in Shedden and Ekvall (2026) <doi:10.48550/arXiv.2610.04181>, building on Ekvall and Bottai (2026) <doi:10.1093/biomet/asaf079>, Zhang, Ekvall, and Molstad (2025) <doi:10.1093/biomet/asaf010>, and Ekvall and Bottai (2022) <doi:10.1214/22-AOS2177>.
URL: https://github.com/koekvall/reconf
BugReports: https://github.com/koekvall/reconf/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
LazyData: true
Imports: Matrix (>= 1.5-0), lme4 (>= 1.1-8), Rcpp, trust, methods, generics
LinkingTo: Rcpp, RcppEigen
Suggests: testthat (>= 3.0.0), numDeriv, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-10 14:50:14 UTC; k.ekvall
Author: Karl Oskar Ekvall [aut, cre, cph], Yiqiao Zhang [ctb], Matias Shedden [ctb]
Maintainer: Karl Oskar Ekvall <k.o.ekvall@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:50:02 UTC

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New package oddsrelay with initial version 0.1.0
Package: oddsrelay
Title: Client for the 'OddsRelay' Sports Odds API
Version: 0.1.0
Description: Provides one function for each read endpoint of the 'OddsRelay' web service <https://oddsrelay.io/docs>, which serves bookmaker and exchange odds for the UK and Ireland. Requests ask for compressed replies, send entity tags so that unchanged data is not transferred again, wait as the service asks when it is busy, and signal refusals as classed conditions that carry the service's error code and request id. Replies are returned as lists and data frames, with the token and rate limit headers attached as attributes.
License: MIT + file LICENSE
URL: https://github.com/oddsrelay/oddsrelay-r, https://oddsrelay.io/docs
BugReports: https://github.com/oddsrelay/oddsrelay-r/issues
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.2.0), jsonlite, stats, utils
Suggests: testthat (>= 3.1.7), withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-09 18:54:39 UTC; omfp
Author: James OddsRelay [aut, cre], OddsRelay [cph]
Maintainer: James OddsRelay <hello@oddsrelay.io>
Repository: CRAN
Date/Publication: 2026-10-21 14:40:02 UTC

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New package LatencyA with initial version 1.0.2
Package: LatencyA
Title: Latency Analysis in Epidemiological Studies Using Weighted Cumulative Exposures
Version: 1.0.2
Maintainer: Fuyu Guo <fuyuguo@hsph.harvard.edu>
Description: Implements weighted cumulative exposure Cox proportional hazards models for latency analysis with repeatedly measured, time-varying exposures. Instead of entering every lagged exposure as a separate and highly correlated covariate, the lag-specific log hazard ratios are constrained to follow a smooth function of the time since exposure, parameterized by natural cubic splines or polynomials, so that the susceptible window of an exposure can be identified from the estimated lag-risk curve. Functions are provided to fit models with a prespecified number of knots or polynomial degree, to select the number of knots by a grid search or the spline terms by a stepwise search using the Akaike or Bayesian information criterion, and to extract lag-specific log hazard ratios with their variances. For the data-driven model selection procedures, inference is based on a cluster bootstrap that resamples subjects, which can be run sequentially or in parallel. The methods are described in Guo, Qian, Wan [...truncated...]
Imports: Hmisc, survival, stats, MASS, stringr, future, furrr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-10-09 18:21:45 UTC; fuyuguo
Author: Fuyu Guo [aut, cre], Zihan Qian [aut], Molin Wang [aut]
Repository: CRAN
Date/Publication: 2026-10-21 14:10:02 UTC

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New package ggfourfold with initial version 0.1.0
Package: ggfourfold
Title: Fourfold Displays for 'ggplot2'
Version: 0.1.0
Language: en-US
Maintainer: Gavin Klorfine <gklorfin@yorku.ca>
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 4.0.0), grDevices, grid, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vcd
Description: Draws fourfold displays of 2 x 2 (x k) contingency tables as a 'ggplot2' layer, following Friendly (1994) <https://datavis.ca/papers/4fold/4fold.pdf> and Friendly and Meyer (2016) <doi:10.1201/9781315374413>. Cell frequencies are shown as quarter-circles or squares of proportional area, with confidence rings for the odds ratio and shading for the direction and strength of association. Stratified tables are shown with 'ggplot2' faceting and a corresponding 'ggplot2' theme is provided.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://gavinklorfine.com/ggfourfold/, https://github.com/gklorfine/ggfourfold
BugReports: https://github.com/gklorfine/ggfourfold/issues
NeedsCompilation: no
Packaged: 2026-10-10 01:18:24 UTC; gklorfine
Author: Gavin Klorfine [aut, cre, cph] , Michael Friendly [aut]
Repository: CRAN
Date/Publication: 2026-10-21 14:20:11 UTC

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New package gaussianprocesses with initial version 1.0.0
Package: gaussianprocesses
Title: Gaussian Processes from First Principles
Version: 1.0.0
Description: Gaussian process regression, classification, and count models with explicit covariance kernels, exact Gaussian inference, Laplace approximations for non-Gaussian likelihoods, sparse approximations, marginal-likelihood optimization, derivatives, posterior sampling, calibration diagnostics, and time-series workflows. The implementation follows the core methodology of Rasmussen and Williams (2006) <doi:10.7551/mitpress/3206.001.0001> and emphasizes numerical stability, transparent assumptions, and reproducible statistical workflows.
License: MIT + file LICENSE
URL: https://gaussian-processes-r-12efed.gitlab.io/, https://gitlab.com/DiogoRibeiro7/gaussian-processes-r
Encoding: UTF-8
Language: en-US
Imports: stats
Suggests: DiceKriging, gplite, kernlab, knitr, nlme, rmarkdown, testthat (>= 3.0.0), yaml
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-10 23:02:11 UTC; diogo
Author: Diogo Ribeiro [aut, cre]
Maintainer: Diogo Ribeiro <dfr@esmad.ipp.pt>
Repository: CRAN
Date/Publication: 2026-10-21 15:00:02 UTC

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New package FuzzyRandom with initial version 0.1.0
Package: FuzzyRandom
Title: Level-Wise Statistics for Fuzzy Random Variables
Version: 0.1.0
Date: 2026-10-06
Description: Level-wise statistical methods for fuzzy random variables, implementing the Puri-Ralescu framework. Provides level-wise empirical distribution functions, moments, covariance and correlation, a level-wise Kolmogorov-Smirnov goodness-of-fit test, an approximate fuzzy normal distribution with simulation, and level-wise central limit theorem and law of large numbers inference. The package only depends on base R.
License: GPL-3
Encoding: UTF-8
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-10 04:42:13 UTC; GUNJAN AGGRWAL
Author: Gunjan Aggrwal [aut, cre] , Mukul Bijalwan [aut] , Mukul Jain [aut]
Maintainer: Gunjan Aggrwal <gunjanuk1994@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:20:17 UTC

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New package feols.asv with initial version 0.0-1
Package: feols.asv
Title: Average Shared Variance (ASV) Decomposition for Multiple Fixed-Effects Models
Version: 0.0-1
Date: 2026-10-10
Depends: R (>= 3.4.0),fixest,ggplot2,vegan
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>
Description: Conducts average shared variance to calculate individual contributions of predictors (groups) towards within R2 for Multiple Fixed-Effects Models.
License: GPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-10 14:15:58 UTC; lai
Author: Jiangshan Lai [aut, cre]
Repository: CRAN
Date/Publication: 2026-10-21 14:50:08 UTC

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New package cldreducer with initial version 0.2.0
Package: cldreducer
Title: Reduce Compact Letter Displays
Version: 0.2.0
Description: Reduces compact letter displays (CLDs) of all pairwise comparisons. A CLD gives two groups a common letter exactly when they are not significantly different. The package finds a display with the fewest letter assignments that keeps every one of these relationships. This is the assignment-minimum clique covering problem of Ennis, Fayle, and Ennis (2012) <doi:10.1145/2133803.2275596>, solved as a mixed-integer linear program with 'HiGHS'. Among the displays with the fewest assignments, it returns one fixed canonical display, so the result does not depend on the solver. The package includes the wheat yield example of Piepho (2004) <doi:10.1198/1061860043515>.
License: MIT + file LICENSE
Copyright: See file COPYRIGHTS for example data sources and reuse status.
URL: https://github.com/aigorahub/cld-reducer
BugReports: https://github.com/aigorahub/cld-reducer/issues
Depends: R (>= 4.0.0)
Imports: highs (>= 1.14.0), Matrix
Suggests: testthat (>= 3.1.7)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-10 12:56:44 UTC; john
Author: John Ennis [aut, cre], Aigora [cph, fnd]
Maintainer: John Ennis <john.m.ennis@aigora.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:50:13 UTC

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New package boundedHill with initial version 0.1.0
Package: boundedHill
Title: Bayesian Logistic Regression with Lower and Upper Asymptotes
Version: 0.1.0
Description: Fits Bayesian logistic regression models in which the success probability rises or falls between a lower and an upper asymptote instead of between 0 and 1, for binomial outcomes including binary data. The success probability equals the lower asymptote plus the difference between the two asymptotes multiplied by the logistic function of a linear predictor. The lower and upper asymptotes can be either estimated or fixed. With a single predictor such as log dose, this is the four-parameter logistic (Hill) model. Posterior computation is a full Gibbs sampler that requires no tuning.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: BayesLogit, graphics, grDevices, posterior, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-10 10:53:55 UTC; gangj
Author: Minji Lee [aut, cre, cph], Chang Hyeong Lee [aut, cph], Ryung S. Kim [aut, cph]
Maintainer: Minji Lee <leeminji@unist.ac.kr>
Repository: CRAN
Date/Publication: 2026-10-21 14:40:08 UTC

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New package aquats with initial version 1.2.2
Package: aquats
Title: Robust Ecological and Fisheries Data Analysis and Visualization
Version: 1.2.2
Description: A comprehensive statistical and visualization toolkit tailored for observational data in fisheries science and aquatic ecology. Provides streamlined workflows for univariate and factorial analysis of variance (ANOVA), analysis of covariance (ANCOVA), multivariate analysis of variance (MANOVA), permutational multivariate analysis of variance (PERMANOVA), similarity percentages (SIMPER), generalized linear models, non-linear morphometric regressions, two-group hypothesis testing, and chi-square tests. Features multivariate ordination methods including non-metric multidimensional scaling (NMDS), principal component analysis (PCA), redundancy analysis (RDA), distance-based redundancy analysis (db-RDA), and hierarchical cluster dendrograms. Computes alpha diversity metrics, species accumulation curves, water quality index (WQI) values, heavy metal ecotoxicological contamination indices, correlation heatmaps, and Mantel test network linkages. Offers specialized environmental visualizations i [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/Ataher76/aquats, https://doi.org/10.5281/zenodo.22885025
BugReports: https://github.com/Ataher76/aquats/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dplyr, emmeans, ggplot2, ggpubr, ggrepel, MASS, multcomp, RColorBrewer, rlang, tidyr, ggalluvial, vegan
Suggests: cowplot, knitr, multcompView, patchwork, readxl, rmarkdown, writexl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 05:34:56 UTC; User
Author: Ataher Ali [aut, cre] , Mohammed Shahidul Alam [aut]
Maintainer: Ataher Ali <ataher.cu.ms@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:00:12 UTC

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New package adlaplace with initial version 0.7.4
Package: adlaplace
Title: Laplace Approximations Using Automatic Differentiation
Version: 0.7.4
Date: 2026-10-08
Maintainer: Patrick Brown <patrick.borgnine@gmail.com>
Description: Computes Laplace-approximate maximum likelihood for hierarchical and latent Gaussian models. A formula interface specifies observation densities (e.g. Gaussian, negative Binomial), fixed effects, and random terms (independent effects, smoothing terms). Customized response distributions and models for random effects can be specified through a low-level interface or by writing interoperable packages. Derivatives are computed using automatic differentiation with 'CppAD', and used in trust region optimization to find modes of random effects. Derivatives of the Laplace approximation of the log-likelihood are computed using third order contractions and is compatible with custom atomics. The approach follows Kristensen, Nielsen, Berg, Skaug, and Bell (2016) <doi:10.18637/jss.v070.i05>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Matrix (>= 1.2.18), Rcpp (>= 1.0.3), methods, data.table, stats, graphics, RCppAD
Suggests: knitr, rmarkdown, trustOptim, testthat (>= 3.0.0), mvQuad, mgcv, MASS, nlme, sn, terra, GET, WoodburyMatrix, extraDistr, RSpectra, aghq, numDeriv
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppEigen, trustOptim, Matrix, RCppAD
Encoding: UTF-8
SystemRequirements: OpenMP
NeedsCompilation: yes
LazyData: true
Packaged: 2026-10-09 20:46:55 UTC; patrick
Author: Patrick Brown [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-10-21 14:40:14 UTC

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New package webformscore with initial version 2.2.0
Package: webformscore
Title: 'WebForms Core'
Version: 2.2.0
Description: A stateless server-driven user interface technology for building web interfaces through server-side user interface manipulation. 'WebForms Core' provides a common structure across multiple programming languages. The server-side class acts as a commander that generates commands, while 'WebFormsJS' serves as the client-side executor that applies them. Commands range from atomic operations, such as adding elements and modifying text and attributes, to higher-level operations such as iterative processing and render. See <https://github.com/webforms-core>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: R6
NeedsCompilation: no
Packaged: 2026-10-09 14:55:34 UTC; Mohammad
Author: Mohammad Rabie [aut, cre]
Maintainer: Mohammad Rabie <info@elanat.net>
Repository: CRAN
Date/Publication: 2026-10-21 13:20:02 UTC

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New package posc with initial version 0.2.0
Package: posc
Title: Probability of Outcome Superiority Curves
Version: 0.2.0
Description: Computes, plots and compares probability of outcome superiority curves (POSCs). For two people who differ by a given amount on a continuous predictor, a POSC gives the probability that the person with the higher predictor score also has the higher outcome, a probabilistic and decision-oriented alternative to reporting a correlation coefficient. Curves can be computed from a correlation under bivariate normality, from a correlation matrix for an optimally weighted composite of predictors, from a fitted linear model, or estimated directly from raw data with a flexible spline model and bootstrap confidence bands.
License: MIT + file LICENSE
URL: https://matthewbjane.com/posc/, https://github.com/MatthewBJane/posc
BugReports: https://github.com/MatthewBJane/posc/issues
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), splines, stats, utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-09 16:42:34 UTC; mattjane
Author: Matthew B. Jane [aut, cre]
Maintainer: Matthew B. Jane <matthewbjane@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 13:50:02 UTC

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New package oes with initial version 1.0.0
Package: oes
Title: Optimal Effect-Size-Based Y-Axis Ranges
Version: 1.0.0
Description: Calculates effect-size-informed y-axis recommendations for visualizations of independent, repeated-measures, and mixed designs. Summarizes selected error bars, estimates conditional standardized contrasts, and generalizes range-expansion rules using constants from single-factor, two-level studies of Cohen's d. Recommendations beyond that studied setting have not been empirically validated. Provides numerical results and 'ggplot2' visualizations, including summary plots and preservation of supplied plot layouts. Confidence-interval adjustment options follow the distinctions in Cousineau (2017) <doi:10.5709/acp-0214-z>, including difference adjustment and combined repeated-measures adjustment. Within-subject base intervals use the normalization of Cousineau (2005) <doi:10.20982/tqmp.01.1.p042> with the bias correction of Morey (2008) <doi:10.20982/tqmp.04.2.p061>. Correlation-only intervals and intervals with both adjustments are separate options. These references suppo [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), ggplot2 (>= 4.0.0), rlang (>= 1.0.0), rstatix (>= 0.7.2), stats, utils
Suggests: ggsci, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-09 15:10:21 UTC; root
Author: Shuo Zang [aut, cre, cph] , Denis Cousineau [aut, cph]
Maintainer: Shuo Zang <zshuo070@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:00:02 UTC

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New package metamixr with initial version 0.1.0
Package: metamixr
Title: Bayesian Meta-Analytic Mixture Modelling
Version: 0.1.0
Description: Fits Bayesian random-effects meta-analytic mixture models in which the true study effects are drawn from a mixture of normal components with component-specific means and between-study heterogeneity. The mixture model can be combined with step-function selection models (Vevea and Hedges, 1995, <doi:10.1007/BF02294384>) to adjust for publication bias, either with one selection model for all studies or with separate selection models for groups of studies. Models are estimated by Hamiltonian Monte Carlo using 'rstan' and returned as 'stanfit' objects, so posterior summaries, posterior predictive checks and marginal likelihoods for model comparison (via 'bridgesampling') are readily available. Also includes a data simulator and the nudging meta-analysis data of Mertens et al. (2022) <doi:10.1073/pnas.2107346118>.
License: MIT + file LICENSE
URL: https://github.com/MaxMaier42/metamix, https://maxmaier42.github.io/metamix/
BugReports: https://github.com/MaxMaier42/metamix/issues
Encoding: UTF-8
Language: en-GB
Biarch: true
Depends: R (>= 3.5)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools (>= 2.4.0), stats
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0)
SystemRequirements: GNU make
Suggests: testthat (>= 3.0.0), bridgesampling, knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-09 17:22:46 UTC; maxim
Author: Maximilian Maier [aut, cre] , Trustees of Columbia University [cph]
Maintainer: Maximilian Maier <maximilianmaier0401@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:00:08 UTC

More information about metamixr at CRAN
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New package hsquared with initial version 0.9.0
Package: hsquared
Title: 'R' Interface for 'Julia'-Backed Quantitative-Genetic Models
Version: 0.9.0
Description: Provides an interface for quantitative-genetic models in 'R', backed by the 'HSquared.jl' engine for 'Julia'. Fits Gaussian pedigree animal models by restricted maximum likelihood, using average-information restricted maximum likelihood (AI-REML; Gilmour et al. (1995) <doi:10.2307/2533274>) for the univariate model. Returns heritability, variance components, breeding values, and covariance and correlation matrices for multivariate models. Formula and pedigree validation can run without 'Julia'. Model fitting requires a local 'Julia' and 'HSquared.jl'; use hs_control(engine = "validate") to preview the model contract without fitting. What you may report is listed on the package article 'Can I fit and report this?', not in validation_status(), which is a developer evidence table. Model-specific restrictions are documented in that article. Uncertainty intervals are not coverage-calibrated.
License: MIT + file LICENSE
URL: https://itchyshin.github.io/hsquared/, https://github.com/itchyshin/hsquared, https://github.com/itchyshin/HSquared.jl
BugReports: https://github.com/itchyshin/hsquared/issues
Encoding: UTF-8
Language: en-US
Imports: ggplot2, lifecycle, Matrix, stats
Suggests: enhancer, JuliaCall, knitr, lme4, nadiv, pedigreemm, rmarkdown, sommer, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 12:31:53 UTC; z3437171
Author: Shinichi Nakagawa [aut, cre, cph] , Yefeng Yang [aut, cph] , Szymon Drobniak [aut, cph]
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 13:10:26 UTC

More information about hsquared at CRAN
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New package edetect with initial version 0.1.0
Package: edetect
Title: Anytime-Valid Control Charts with E-Detectors
Version: 0.1.0
Description: Sequential change detection for process monitoring with e-detectors (Shin, Ramdas and Rinaldo, 2024, <doi:10.51387/23-NEJSDS51>): nonparametric, anytime-valid analogues of the CUSUM and Shiryaev-Roberts charts whose average run length to a false alarm is guaranteed for every distribution in a declared pre-change class (bounded, sub-Gaussian, Bernoulli or Poisson observations). Phase I/Phase II workflow, individual, p, c, u and regression charts, run-length simulation and auditable alarm reports.
License: GPL (>= 3)
URL: https://castlaboratory.github.io/edetect/, https://github.com/castlaboratory/edetect
BugReports: https://github.com/castlaboratory/edetect/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1)
Imports: cli (>= 3.6.0), generics, ggplot2 (>= 3.5.0), rlang (>= 1.1.0), stats, tibble (>= 3.2.0), utils
Suggests: knitr, rmarkdown, shewhartr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 15:06:50 UTC; leite
Author: Andre Leite [aut, cre] , Raydonal Ospina [aut] , Cristiano Ferraz [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-10-21 13:20:17 UTC

More information about edetect at CRAN
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New package dtptite with initial version 0.1.0
Package: dtptite
Title: Dose Transition Pathways for Time-to-Event Dose-Finding Designs
Version: 0.1.0
Description: Implements the Dose Transition Pathways (DTP) look-ahead strategy for time-to-event phase I dose-finding clinical trials with delayed or pending toxicity outcomes. Provides a DTP decorator for the 'escalation' framework, supporting both TITE-CRM (model-based) and TITE-BOIN (model-assisted) base designs.
License: GPL (>= 3)
URL: https://github.com/ICR-EPAT/dtptite
BugReports: https://github.com/ICR-EPAT/dtptite/issues
Depends: R (>= 4.1.0)
Imports: BOIN, dplyr, escalation (>= 0.2.0), stats, tibble
Suggests: dfcrm, ggplot2, testthat (>= 3.0.0), TITEgBOIN
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-09 14:32:32 UTC; xlai
Author: Xiaoran Lai [aut, cre], The Institute of Cancer Research [cph], National Institute for Health and Care Research [fnd]
Maintainer: Xiaoran Lai <xiaoran.lai@icr.ac.uk>
Repository: CRAN
Date/Publication: 2026-10-21 13:10:41 UTC

More information about dtptite at CRAN
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New package termr with initial version 1.0.1
Package: termr
Title: Modern Reactive Terminal Applications with Data Workflows
Version: 1.0.1
Description: Build modern reactive terminal applications for data workflows in R using reusable widgets, layouts, events, focus management and themes. A virtual screen buffer and incremental rendering update changed cells, while a headless driver supports deterministic application tests. Includes data tables that render visible rows on demand, lazy table sources, data inspection, SQL editing and background R workers with progress and streamed output. Optional database support and static text, Markdown, HTML, SVG and JSON exports support analytical tools and reports without requiring an interactive terminal for static output.
License: MIT + file LICENSE
URL: https://github.com/41929424/termr
BugReports: https://github.com/41929424/termr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: codetools, grDevices, R6, processx, ps, stats, utils
Suggests: DBI, jsonlite, knitr, RSQLite, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-10-09 12:17:59 UTC; User001
Author: Akims Mensikovs [aut, cre, cph]
Maintainer: Akims Mensikovs <akimm7926@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 10:20:02 UTC

More information about termr at CRAN
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New package soilcnn with initial version 0.1.0
Package: soilcnn
Title: Convolutional Neural Networks for Digital Soil Mapping
Version: 0.1.0
Description: A framework, built on 'torch', for mapping a soil property from point observations and a stack of aligned rasters with a convolutional network that reads the neighbourhood of each point. It extracts the patches; resamples by spatial blocks or by k-fold nearest neighbour distance matching, after Linnenbrink et al. (2024) <doi:10.5194/gmd-17-5897-2024>; tunes and selects under a noise floor and the one-standard-error rule; refits the selected configuration under several seeds; and predicts median, mean and interval maps over rasters of any extent. The map's centre is the ensemble median over seeds; the mean corrects its back-transformation by smearing, after Duan (1983) <doi:10.1080/01621459.1983.10478017>. The intervals are conformal, calibrated three ways and each checked on the test set: on the cross-validated residuals; on a calibration set held out of every fold, as split conformal, after Lei et al. (2018) <doi:10.1080/01621459.2017.1307116>; or with every fold's m [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/moquedace/soilcnn, https://moquedace.github.io/soilcnn/
BugReports: https://github.com/moquedace/soilcnn/issues
Depends: R (>= 4.5.0)
Imports: callr, coro, dplyr, graphics, grDevices, janitor, matrixStats, parallel, ps, purrr, readr, stats, terra, tibble, tools, torch, utils
Suggests: caret, CAST, FNN, knitr, pkgload, randomForest, ranger, rmarkdown, sf, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-10-09 12:06:31 UTC; Computador
Author: Cassio Marques Moquedace [aut, cre, cph], Clara Gloria Oliveira Baldi [aut, cph]
Maintainer: Cassio Marques Moquedace <cassiomoquedace@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 10:00:02 UTC

More information about soilcnn at CRAN
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New package rTARDIS with initial version 2.1.1
Package: rTARDIS
Title: Terrains and Routes Directed in Spacetime
Version: 2.1.1
Description: Implements classes and methods for constructing and analysing graph representations of complex geographic spaces at local to global scales, particularly where accessible spaces are discontinuously distributed but retain display connectivity (e.g., island systems where isolation is strong but not necessarily absolute), and where that distribution also changes through time (e.g., habitat patch fragmentation or plate tectonic drift). The package (originally named TARDIS) was first described and published in: Flannery-Sutherland, J., Elsler, A., Farnsworth, A., Lunt, D., Benton, M. (2025) <doi:10.1038/s41559-025-02739-y>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: cppRouting, exactextractr, geosphere, h3jsr, h3r, igraph, Matrix, methods, palaeoverse, rgl, rlemon, scales, sf, stats, terra
Suggests: chronosphere, knitr, rmarkdown, testthat (>= 3.0.0), via
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 11:29:47 UTC; Joe FS
Author: Joe Flannery-Sutherland [aut, cre]
Maintainer: Joe Flannery-Sutherland <josephflannerysutherland@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 09:50:02 UTC

More information about rTARDIS at CRAN
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New package BvCh with initial version 0.1.0
Package: BvCh
Title: Bivariate Chen Distribution: Density, Survival, Hazard, Plots and Estimates
Version: 0.1.0
Description: Probability density, survival and hazard functions, random generation, graphical displays and maximum likelihood estimation for bivariate Chen type models. Three constructions are covered: the Bivariate Chen distribution with a singular component on the diagonal, the Bivariate Extended Chen distribution, and the Bivariate Inverse copula Chen distribution obtained through an inverse copula with Chen marginals. Univariate Chen density, distribution, quantile, survival, hazard and random generation routines are obtained from the 'reliaR' package.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: reliaR (>= 0.2), stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/puneetstat999/BvCh
BugReports: https://github.com/puneetstat999/BvCh/issues
NeedsCompilation: no
Packaged: 2026-10-09 06:54:54 UTC; IUD
Author: Mukul Bijalwan [aut] , Puneet Kumar Gupta [aut, cre]
Maintainer: Puneet Kumar Gupta <puneetstat999@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 09:10:02 UTC

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New package BiasedMatch with initial version 0.1.0
Package: BiasedMatch
Title: Biased Matching for Two-Urn Sampling Problems
Version: 0.1.0
Description: Tools for the two-urn biased sampling problems of Puza and Bonfrer (2018) <doi:10.1080/03610926.2017.1300282>. Two overlapping sets of items are sampled without replacement, with items common to both sets given a selection weight favouring their inclusion. The package computes the probability mass function, mean and variance of the number of matching items using the univariate and bivariate Wallenius' non-central hypergeometric distributions, performs maximum likelihood and Bayesian inference for the bias parameter, and provides Metropolis-Hastings algorithms for hierarchical extensions.
Depends: R (>= 3.5.0)
Imports: BiasedUrn, mvtnorm, nortest, EnvStats, coda, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/andrebonfrer/BiasedMatch
BugReports: https://github.com/andrebonfrer/BiasedMatch/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 08:36:00 UTC; andre.bonfrer
Author: Andre Bonfrer [aut, cre] , Borek Puza [aut]
Maintainer: Andre Bonfrer <andre.bonfrer@deakin.edu.au>
Repository: CRAN
Date/Publication: 2026-10-21 09:40:16 UTC

More information about BiasedMatch at CRAN
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New package IFFuzzyStats with initial version 0.1.0
Package: IFFuzzyStats
Title: Intuitionistic Fuzzy Statistics
Version: 0.1.0
Maintainer: Mukul Bijalwan <mukulbijalwan555@gmail.com>
Description: Provides constructors and arithmetic for intuitionistic fuzzy values (intuitionistic fuzzy value, IFV) for intuitionistic fuzzy sets (Atanassov (1986) <doi:10.1016/S0165-0114(86)80034-3>), including aggregation operators of Xu (2007) <doi:10.1109/TFUZZ.2006.890678> and Xu and Yager (2006) <doi:10.1080/03081070600574353>: intuitionistic fuzzy weighted averaging (IFWA), intuitionistic fuzzy weighted geometric (IFWG), intuitionistic fuzzy ordered weighted averaging (IFOWA), intuitionistic fuzzy ordered weighted geometric (IFOWG), intuitionistic fuzzy hybrid averaging (IFHA), intuitionistic fuzzy hybrid geometric (IFHG), and Einstein operators; entropy (Szmidt and Kacprzyk (2000) <doi:10.1016/S0165-0114(98)00402-3>; Vlachos and Sergiadis (2007) <doi:10.1016/j.patrec.2006.07.004>) and distance and similarity measures, including Ye (2011) <doi:10.1016/j.mcm.2010.07.022> cosine similarity and Hamming, Euclidean and Hausdorff distances; intuitionistic fuzzy [...truncated...]
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/MukulBijalwan/IFFuzzyStats
BugReports: https://github.com/MukulBijalwan/IFFuzzyStats/issues
NeedsCompilation: no
Packaged: 2026-10-09 05:37:41 UTC; Admin
Author: Mukul Bijalwan [aut, cre] , Gunjan Aggrwal [aut], Mukul Jain [aut]
Repository: CRAN
Date/Publication: 2026-10-21 08:40:24 UTC

More information about IFFuzzyStats at CRAN
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New package tampaBayOpenData with initial version 0.1.0
Package: tampaBayOpenData
Title: An R Interface to Tampa Bay Public Open Data
Version: 0.1.0
Description: Provides a lightweight R interface for discovering and retrieving public 'ArcGIS' datasets across the Tampa Bay region. Search civic datasets and load records directly into R without manually navigating separate portals, constructing REST API requests, or handling pagination. Supports public data published by the City of Tampa, City of St. Petersburg, City of Clearwater, Hillsborough County, Pinellas County, and Tampa Bay Regional Planning Council. Discover layers in these and other public 'ArcGIS' portals and retrieve them by their REST URLs. A publisher registry configures discovery, while a separate dataset registry identifies layers checked by package maintainers. Filter catalogs by source, geometry, topic, category, and modification date. Retrieve queryable layers with validated pagination, bounded previews, server-side filtering, typed tabular results, optional spatial objects, and source provenance. Save large downloads as local chunks that can be validated and resumed. Designed [...truncated...]
License: MIT + file LICENSE
URL: https://jaclenga.github.io/tampaBayOpenData/, https://github.com/Jaclenga/tampaBayOpenData
BugReports: https://github.com/Jaclenga/tampaBayOpenData/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.2.3), jsonlite (>= 1.6.0), tibble (>= 3.0.0)
Suggests: knitr, rmarkdown, sf (>= 1.0.0), testthat (>= 3.2.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-08 23:23:39 UTC; jack3
Author: Jack Lenga [aut, cre, cph]
Maintainer: Jack Lenga <jlenga@alumni.cmu.edu>
Repository: CRAN
Date/Publication: 2026-10-21 08:00:02 UTC

More information about tampaBayOpenData at CRAN
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Tue, 20 Oct 2026

New package qdfauction with initial version 0.1.0
Package: qdfauction
Title: Nonparametric Quantile Density Estimation and Structural Analysis of First-Price Auctions
Version: 0.1.0
Description: Nonparametric estimators of the quantile density function (the derivative of the quantile function): kernel, boundary-corrected kernel, Poisson-weight and Bernstein-polynomial smoothers, indirect estimators (Jones (1992) <https://www.ism.ac.jp/editsec/aism/pdf/044_4_0721.pdf>; Soni, Dewan and Jain (2012) <doi:10.1016/j.csda.2012.04.014>; Chaubey, Dewan and Li (2024) <doi:10.1080/03610926.2023.2222922>), and linear, hard-thresholded and block-thresholded wavelet estimators (Chesneau, Dewan and Doosti (2016) <doi:10.1016/j.csda.2015.08.006>; Shirazi and Doosti (2022) <doi:10.1080/03610918.2019.1656250>), with smoothing parameters chosen by biased, robust likelihood (Wu (2019) <doi:10.1080/07350015.2018.1424633>) or least-squares cross-validation. The estimators are applied to the structural analysis of first-price sealed-bid auctions: recovery of private values for independent or affiliated values and risk-neutral or risk-averse bidders (Doosti, Dewan [...truncated...]
License: GPL (>= 3)
URL: https://github.com/DoostiH/qdfauction
BugReports: https://github.com/DoostiH/qdfauction/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, splines, utils, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-08 19:50:35 UTC; MQ20173444
Author: Hassan Doosti [aut, cre, cph] , Yogendra P. Chaubey [ctb, cph] , Isha Dewan [ctb, cph] , Jun Li [ctb, cph] , Brent R. Hickman [ctb, cph] ), Timothy P. Hubbard [ctb, cph] ), Brani Vidakovic [ctb, cph] , phi_jk, dwt_periodic, idwt_periodic and loclin_s [...truncated...]
Maintainer: Hassan Doosti <Hassan.doosti@mq.edu.au>
Repository: CRAN
Date/Publication: 2026-10-20 18:20:02 UTC

More information about qdfauction at CRAN
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New package palettome with initial version 1.0.1
Package: palettome
Title: Hierarchy-Aware, Interactively Editable Color Palettes for Clusters
Version: 1.0.1
Description: Assigns perceptually-informed color palettes to clustered data (e.g. scRNA-seq clusters / cell subtypes from 'Seurat' or plain UMAP coordinate tables), where clusters that belong to the same "family" (e.g. subtypes of T cells) can be colored either harmoniously (shared hue, varying shade) or with maximal contrast (with family membership encoded via a secondary channel). Families can be auto-detected from embedding-space hierarchical clustering or supplied explicitly, and every generated color remains individually overridable, with manual overrides preserved across regeneration. Colors are constructed in the HCL space as in Zeileis et al. (2020) <doi:10.18637/jss.v096.i01>, separated using the CIEDE2000 color difference of Sharma, Wu and Dalal (2005) <doi:10.1002/col.20070>, and checked for color-vision deficiency using the simulation of Machado, Oliveira and Fernandes (2009) <doi:10.1109/TVCG.2009.113>. Core algorithms have no UI dependencies; an optional interactive [...truncated...]
License: Apache License (== 2.0)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: colorspace, farver, stats, graphics, utils, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, Seurat, shiny, plotly, colourpicker, shinyjs, dendextend
VignetteBuilder: knitr
URL: https://github.com/thisishcb/Palettome
BugReports: https://github.com/thisishcb/Palettome/issues
NeedsCompilation: no
Packaged: 2026-10-08 21:39:07 UTC; nigel
Author: Chenbin Huang [aut, cre]
Maintainer: Chenbin Huang <chenbin.huang@emory.edu>
Repository: CRAN
Date/Publication: 2026-10-20 18:20:10 UTC

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New package genevintage with initial version 0.1.3
Package: genevintage
Title: Detect Annotation Releases and Repair Gene Names
Version: 0.1.3
Description: Detects the species and the 'Ensembl' <https://www.ensembl.org> or 'GENCODE' <https://www.gencodegenes.org> annotation release associated with a set of gene or transcript identifiers by scoring them against a bundled fingerprint of each release. Identifiers are then converted to gene names using the matching release. Gene symbols that spreadsheet software turned into dates or numbers ('SEPT9' to '9-Sep') are restored to the spelling of the chosen release. Also retrieves genes by class (mitochondrial, sex-linked, protein-coding, ribosomal, transfer RNA, long non-coding RNA), exon-union gene lengths, 'Entrez' cross-references, and orthologs in another species from 'Ensembl Compara'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, tools, utils
Suggests: curl, Matrix, knitr, methods, rmarkdown, spelling, testthat (>= 3.0.0), withr
URL: https://genevintage.saketlab.org/R/, https://github.com/saketlab/genevintage
BugReports: https://github.com/saketlab/genevintage/issues
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-08 21:57:31 UTC; saket
Author: Saket Choudhary [aut, cre]
Maintainer: Saket Choudhary <saketc@iitb.ac.in>
Repository: CRAN
Date/Publication: 2026-10-20 18:20:16 UTC

More information about genevintage at CRAN
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New package ERA5Flux with initial version 1.0.0
Package: ERA5Flux
Title: Improve the Utility of ERA5-Land Data at AmeriFlux Site Locations
Version: 1.0.0
Description: Collection of tools useful for workflows involving ERA5-Land and AmeriFlux data. Includes functions for downloading ERA5-Land data based on AmeriFlux sites, formatting the downloaded data to match AmeriFlux standards, merging both datasets together to ensure consistent timestamps, and blending them to create a single gap-filled time series. For more details, visit the Climate Data Store's catalogue entry for ERA5-Land at <https://cds.climate.copernicus.eu/datasets/reanalysis-era5-land> and the AmeriFlux homepage at <https://ameriflux.lbl.gov>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, ecmwfr, lubridate, lutz, ncdf4, purrr, readr, readxl, stats, terra
Suggests: knitr, rmarkdown, sf
URL: https://github.com/Malone-Disturbance-Ecology-Lab/ERA5Flux, https://malone-disturbance-ecology-lab.github.io/ERA5Flux/
BugReports: https://github.com/Malone-Disturbance-Ecology-Lab/ERA5Flux/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-08 20:10:01 UTC; ac3656
Author: Angel Chen [aut, cre] , Sam Jurado [aut] , David E Reed [aut] , Ammara Talib [aut] , Junna Wang [aut] , Boya Zhang [aut] , Sparkle L Malone [aut] , National Science Foundation [fnd] , Yale School of the Environment [fnd], Yale Center for Natural Carb [...truncated...]
Maintainer: Angel Chen <angel777chen@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 18:10:02 UTC

More information about ERA5Flux at CRAN
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New package zstd with initial version 0.1.0
Package: zstd
Title: Zstandard Compression
Version: 0.1.0
Description: Compress and decompress data with the 'Zstandard' algorithm <https://facebook.github.io/zstd/>, a fast lossless compression format. Works on raw vectors in memory and on files, and can create and extract 'zstd' compressed 'tar' archives. Supports compression levels, multithreaded compression, long distance matching, content checksums, and training dictionaries for better compression of small, similar inputs.
License: MIT + file LICENSE
Copyright: This package includes code from the 'Zstandard' library owned by Meta Platforms, Inc. and affiliates. and created by Yann Collet, and code from the 'microtar' library created by rxi. See file 'inst/COPYRIGHTS' for details.
URL: https://github.com/r-lib/zstd
BugReports: https://github.com/r-lib/zstd/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-10-08 18:40:30 UTC; gaborcsardi
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , Yann Collet [aut] , Meta Platforms, Inc. and affiliates. [cph] , rxi [aut, cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 17:50:02 UTC

More information about zstd at CRAN
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New package learnr2 with initial version 0.1.3
Package: learnr2
Title: Interactive Tutorials with 'Quarto' and 'WebR'
Version: 0.1.3
Description: Create interactive R tutorials that run entirely in the browser using 'Quarto' <https://quarto.org> and 'WebR' <https://docs.r-wasm.org/webr/latest/> via the 'quarto-live' extension. Provides 'learnr'-style authoring conveniences -- scaffolding, exercises, hints, solutions, and quizzes -- without 'Shiny', 'R Markdown', or a server.
License: MIT + file LICENSE
Copyright: See file inst/COPYRIGHTS for the bundled third-party components.
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: fs, htmltools, httpuv, jsonlite, knitr, quarto, rmarkdown
Suggests: learnr, pkgdown, pkgload, rstudioapi, testthat (>= 3.2.0), withr
VignetteBuilder: quarto
SystemRequirements: Quarto command line tool (https://github.com/quarto-dev/quarto-cli).
URL: https://github.com/PPBDS/learnr2, https://ppbds.github.io/learnr2/
BugReports: https://github.com/PPBDS/learnr2/issues
NeedsCompilation: no
Packaged: 2026-10-08 17:41:28 UTC; dkane
Author: David Kane [aut, cre, cph] , Minh Vu [aut]
Maintainer: David Kane <dave.kane@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 17:50:07 UTC

More information about learnr2 at CRAN
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New package lassoinf with initial version 0.1.0
Package: lassoinf
Title: Selective Inference for the Randomized Lasso
Version: 0.1.0
Description: Confidence intervals and p-values for parameters chosen by the (randomized) lasso, valid after selection. Implements the polyhedral approach of Lee, Sun, Sun and Taylor (2016) <doi:10.1214/15-AOS1371>, the randomized response of Tian and Taylor (2018) <doi:10.1214/17-AOS1564> and the exact randomized inference of Panigrahi, Fry and Taylor (2024) <doi:10.1093/biomet/asae019>, with the truncated bivariate normal computations of Liu (2023) <doi:10.48550/arXiv.2308.10346>. Includes inference for user-specified estimands, screening of inactive variables and problems fitted by 'glmnet'. Computations use a 'C++' backend with matrix-free linear operators for wide designs.
License: BSD_3_clause + file LICENSE
Copyright: See inst/COPYRIGHTS for the code adapted from Sifan Liu (MIT).
URL: https://github.com/jonathan-taylor/lassoinf
BugReports: https://github.com/jonathan-taylor/lassoinf/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppEigen
Imports: methods, mvtnorm, R6, Rcpp, stats
Suggests: glmnet (>= 5.1), knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-08 19:07:54 UTC; jonathantaylor
Author: Jonathan Taylor [aut, cre, cph], Kevin Fry [aut], Snigdha Panigrahi [aut], Sifan Liu [ctb, cph]
Maintainer: Jonathan Taylor <jtaylo@stanford.edu>
Repository: CRAN
Date/Publication: 2026-10-20 18:00:02 UTC

More information about lassoinf at CRAN
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New package hpsreg with initial version 1.0.0
Package: hpsreg
Title: Regression for Hierarchically Ordered Clinical Outcomes via Pairwise Comparisons (Bradley-Terry-Davidson Model)
Version: 1.0.0
Description: Provides regression for hierarchically ordered clinical outcomes via pairwise comparisons, using a covariate-adjusted Davidson (Bradley-Terry with ties) model with U-statistic sandwich standard errors. A hierarchy of outcomes (binary, ordinal, continuous, and time-to-event, with eligibility guards and tie margins) is defined; all pairs of subjects are scored lexicographically; and the resulting win / loss / tie data are analysed. Unadjusted win statistics (net benefit, win ratio, win odds), diagnostics, and a worked example based on outcomes after allogeneic stem cell transplant are also provided. The computational engine is written in 'C++' using 'Rcpp' and 'RcppEigen'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), stats, graphics
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), survival, gnm
VignetteBuilder: knitr
SystemRequirements: OpenMP (optional)
NeedsCompilation: yes
Packaged: 2026-10-08 18:24:04 UTC; raviv
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Repository: CRAN
Date/Publication: 2026-10-20 17:50:14 UTC

More information about hpsreg at CRAN
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New package climabr with initial version 0.1.0
Package: climabr
Title: Interface for Accessing Weather Data from Climatempo
Version: 0.1.0
Description: Provides functions for downloading meteorological data from the CLIMATEMPO (<https://www.climatempo.com.br/>) web platform through web scraping, designed for ecological and environmental analyses.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/jrz-s/climabr
BugReports: https://github.com/jrz-s/climabr/issues
Depends: R (>= 3.5)
Imports: dplyr, stringr, stringi, purrr, rvest, magrittr, rlang
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-08 16:56:45 UTC; USER
Author: Jhonatan Rafael Zarate-Salazar [aut, cre] , Omar E. Benites-Alfaro [ctb] , Eduardo V. da Silva Oliveira [ctb] , Sidney F. Gouveia [ctb]
Maintainer: Jhonatan Rafael Zarate-Salazar <rzaratesalazar@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 17:40:02 UTC

More information about climabr at CRAN
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New package spectra2rgb with initial version 0.1.0
Package: spectra2rgb
Title: Convert Spectral Signatures to sRGB and CIELAB Colour Coordinates
Version: 0.1.0
Description: Converts hyperspectral reflectance signatures to device- independent sRGB hex codes and CIE L*a*b* coordinates using the CIE 1931 2-degree standard observer and the D65 standard illuminant. Includes bundled reference data so the package is self-contained. Handles missing and non-finite reflectance values via a configurable policy.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats, grDevices, utils
Suggests: testthat (>= 3.0.0), readxl, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-08 13:48:37 UTC; jhohan.elguera
Author: Jhohan Elguera [aut, cre]
Maintainer: Jhohan Elguera <jelguerat@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 14:30:02 UTC

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New package solvency2 with initial version 0.5.1
Package: solvency2
Title: Offline Solvency II Calculations and Regulatory Parameters
Version: 0.5.1
Description: Native, offline components for insurance solvency calculations under Solvency II, including valuation, technical provisions, market and underwriting risks, capital aggregation, own funds, groups and archived reporting checks. Provides explicit dated rule profiles, regulatory parameters, correlation matrices, synthetic reference cases, local discount curve adapters and traceable analyst overrides. Implements components of Directive 2009/138/EC, European Parliament and Council (2009) <https://eur-lex.europa.eu/eli/dir/2009/138/oj>, and Delegated Regulation (EU) 2015/35, European Commission (2014) <https://eur-lex.europa.eu/eli/reg_del/2015/35/oj>. Users provide portfolio inputs, market observations and model results; no network connection or 'Python' runtime is required.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: jsonlite, digest, gmp, Rmpfr, xml2
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/rds0001/solvency2-r
BugReports: https://github.com/rds0001/solvency2-r/issues
NeedsCompilation: no
Packaged: 2026-10-08 05:59:39 UTC; qwert123
Author: Dimitrios Geromichalos [cre], RiskDataScience GmbH [aut, cph]
Maintainer: Dimitrios Geromichalos <riskdatascience@web.de>
Repository: CRAN
Date/Publication: 2026-10-20 14:10:02 UTC

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New package DistributionalDDA with initial version 0.1.1
Package: DistributionalDDA
Title: Distributional Data Analysis in Bayes Spaces
Version: 0.1.1
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>
Description: Statistical analysis of data sets whose observations are whole probability distributions, using Bayes space calculus. Distributions (provided as samples, histograms or density functions) are treated as elements of a Hilbert space, so that operations such as mean, variance, distance, principal component analysis and clustering carry over to densities. Reference measures defining the geometry of the space can be chosen and combined. The methodology was first published with peer review by van den Boogaart, Egozcue and Pawlowsky-Glahn (2014) <doi:10.1111/anzs.12074>.
License: LGPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1), compositions, splines
Imports: fda, methods, graphics, stats, utils, rlang, digest, MASS, Matrix, grDevices
Suggests: knitr, igraph, ggraph, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-10-08 14:59:46 UTC; tolosa53
Author: Ivana Pavlu [aut] , Raimon Tolosana-Delgado [aut] , Matthias Templ [aut] , K. Gerald van den Boogaart [aut, cre]
Repository: CRAN
Date/Publication: 2026-10-20 15:10:02 UTC

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New package hestia with initial version 0.1.0
Package: hestia
Title: Bayesian Compartmental Infection Models from Individual Outcomes
Version: 0.1.0
Description: Fit Bayesian compartmental infection models (such as susceptible-infected-recovered and multi-compartment hidden Markov variants) from individual-level outcome data. Models are composed from infection-process and observation-process components and fit using Stan via 'rstan'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Biarch: true
Depends: R (>= 4.1.0)
Imports: checkmate, dplyr, flexstanr (>= 0.2.0), methods, posterior, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.5.0), stats, tidyr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: bayesplot, ggplot2, knitr, lintr, patchwork, pkgload, rmarkdown, roxygen2, roxyglobals, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://accidda.github.io/hestia/, https://github.com/ACCIDDA/hestia
BugReports: https://github.com/ACCIDDA/hestia/issues
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2026-10-08 15:02:04 UTC; runner
Author: Claire Perrin Smith [aut, cre] , Jack Goodall [aut]
Maintainer: Claire Perrin Smith <clairesmith6995@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 15:00:02 UTC

More information about hestia at CRAN
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New package ggmGraphEditor with initial version 0.1.0
Package: ggmGraphEditor
Title: Interactive Graph Layout Editor for Mixed Graphs
Version: 0.1.0
Depends: R (>= 3.6.0)
Imports: methods, visNetwork, shiny, igraph
Suggests: ggm (>= 2.5.5), graph, testthat (>= 3.0.0)
Description: Provides an interactive interface to plot and layout mixed graphs based on the adjacency matrix defined in Sadeghi and Marchetti (2012) <doi:10.32614/RJ-2012-015>. Uses 'shiny' and 'visNetwork' to allow dynamic node repositioning and coordinate extraction.
License: GPL-2
Encoding: UTF-8
URL: https://github.com/StaThin/ggmGraphEditor
BugReports: https://github.com/StaThin/ggmGraphEditor/issues
NeedsCompilation: no
Packaged: 2026-10-08 12:48:35 UTC; gmm
Author: Giovanni M. Marchetti [aut, cre] , Kayvan Sadeghi [aut]
Maintainer: Giovanni M. Marchetti <giovanni.marchetti@unifi.it>
Repository: CRAN
Date/Publication: 2026-10-20 14:20:02 UTC

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New package regsensitivity with initial version 0.2.0
Package: regsensitivity
Title: Regression Sensitivity Analysis for Omitted Variable Bias
Version: 0.2.0
Description: Sensitivity analysis for linear regression coefficients in the presence of omitted variables. Implements the identified-set and breakdown-point analyses of Diegert, Masten and Poirier (2026) <doi:10.48550/arXiv.2206.02303>, Oster (2019) <doi:10.1080/07350015.2016.1227711> and Masten and Poirier (2026) <doi:10.1257/aer.20230242>. Provides bounds on regression coefficients under relaxations of the no-omitted-variables assumption indexed by interpretable sensitivity parameters, the breakdown point of a hypothesis about the long-regression coefficient, and plotting helpers.
License: MIT + file LICENSE
URL: https://github.com/mikenguyen13/regsensitivity, https://mikenguyen13.github.io/regsensitivity/
BugReports: https://github.com/mikenguyen13/regsensitivity/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1)
Imports: stats, grid, parallel, nloptr (>= 2.0.0), ggplot2 (>= 3.5.0), rlang (>= 1.0.0)
Suggests: generics, shiny, haven (>= 2.5.0), AER, sensemakr, testthat (>= 3.0.0), knitr (>= 1.40), rmarkdown (>= 2.20), pdftools, covr, pkgdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-07 17:32:43 UTC; mikenguyen
Author: Mike Nguyen [aut, cre, cph]
Maintainer: Mike Nguyen <nguyennghia1301@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 13:50:02 UTC

More information about regsensitivity at CRAN
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Sun, 18 Oct 2026

New package seowebchecker with initial version 1.0.0
Package: seowebchecker
Title: Comprehensive Website Search Engine Optimization Audit and Analysis Tools
Version: 1.0.0
Author: Rahul Gupta [aut, cre], SEOWebChecker [cph]
Maintainer: Rahul Gupta <jaiganesh6999@gmail.com>
Description: Provides a lightweight client software development kit and utility suite for automated website technical search engine optimization audits, meta tag validations, Core Web Vitals checks, and optimization scoring. Official web audit portal and tools available at <https://seowebchecker.com/>.
License: MIT + file LICENSE
URL: https://seowebchecker.com/, https://github.com/jaiganesh6999/seowebchecker-seoaudit-sdk
BugReports: https://github.com/jaiganesh6999/seowebchecker-seoaudit-sdk/issues
Depends: R (>= 3.5.0)
Imports: utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-08 10:55:09 UTC; runner
Repository: CRAN
Date/Publication: 2026-10-18 16:20:02 UTC

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New package multigrain with initial version 1.0.0
Package: multigrain
Title: Optimise Graphical Approaches to Multiple Testing Procedures
Version: 1.0.0
Description: Find the optimal graphical multiple testing procedure for confirmatory clinical trials that test several hypotheses across endpoints, doses, or subpopulations. Choose the graph maximising an explicit gain-function: a user-defined measure of trial success that scores each possible set of rejected hypotheses. Given simulated p-values, search over hypothesis weights and transition weights to maximise expected trial success. Conventional power criteria are recovered and the family-wise error rate is strongly controlled due to the search being confined to graphical procedures. Described in Spiers, Grayling, Wheeler, and Mander (2026) "Gain-function optimisation of graphical multiple testing procedures for confirmatory clinical trials" <doi:10.48550/arXiv.2609.19994>.
License: LGPL (>= 3)
URL: https://github.com/GSK-Biostatistics/multigrain, https://gsk-biostatistics.github.io/multigrain/
BugReports: https://github.com/GSK-Biostatistics/multigrain/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, GA, ggplot2, ggraph, glue, igraph, mvtnorm, nloptr, purrr, Rcpp, RcppParallel (>= 5.1.10), rlang (>= 1.2.0), stats, tibble, tidyr, utils, vctrs, withr
Suggests: gMCPLite, spelling, svglite, testthat (>= 3.0.0), vdiffr
LinkingTo: Rcpp, RcppParallel
Encoding: UTF-8
Language: en-GB
LazyData: true
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2026-10-08 08:26:04 UTC; dvm44402
Author: Alex Spiers [aut, cre] , Dragoș Moldovan-Gruenfeld [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Alex Spiers <alex.d.spiers@gsk.com>
Repository: CRAN
Date/Publication: 2026-10-18 16:20:14 UTC

More information about multigrain at CRAN
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New package geomattR with initial version 0.3.1
Package: geomattR
Title: Calculate Geometric Attributes of Spatial Polygons
Version: 0.3.1
Description: Calculate geometric attributes of spatial polygons including area, perimeter, compactness, elongation, orientation (bearing), fractal dimension, and various shape indices. The package relies heavily on 'terra' methods and vector data objects <https://github.com/rspatial/terra>.
License: MIT + file LICENSE
URL: https://github.com/gortegasolis/geomattR
BugReports: https://github.com/gortegasolis/geomattR/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: terra (>= 1.8.70), geosphere (>= 1.5.20), methods, parallel, stats, cli, rlang
Suggests: testthat (>= 3.2.3), sf, knitr (>= 1.50), rmarkdown (>= 2.30)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-08 12:52:47 UTC; gabriel
Author: Gabriel Ortega-Solis [aut, cre, cph]
Maintainer: Gabriel Ortega-Solis <g.ortega.solis@geomattr.org>
Repository: CRAN
Date/Publication: 2026-10-18 16:30:08 UTC

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New package flowz with initial version 0.1.0
Package: flowz
Title: Local Latent Flow Forecasting with Empirical Calibration
Version: 0.1.0
Description: Fits conditional flow-matching models to univariate time series. Combines a selectable exponentially weighted moving average (EWMA), autoregressive integrated moving average (ARIMA), autoregressive fractionally integrated moving average (ARFIMA), or structural time-series baseline with direct multi-step residual paths and a random-feature extreme learning machine (ELM) velocity field. Spectral dispersion calibration uses a chronological calibration block, with a separate test block for forecast scoring. Provides simulated forecast paths and smooth marginal distributions. Methodological background is given by Lipman et al. (2023) <doi:10.48550/arXiv.2210.02747>, Huang et al. (2006) <doi:10.1016/j.neucom.2005.12.126>, Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>, and Haslett and Raftery (1989) <doi:10.2307/2347679>.
URL: https://rpubs.com/giancarlo_vercellino/flowz
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: forecast, fracdiff, graphics, grDevices, parallel, stats, utils
Suggests: testthat (>= 3.0.0), pkgload
NeedsCompilation: no
Packaged: 2026-10-08 10:23:30 UTC; gianc
Author: Giancarlo Vercellino [aut, cre]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-18 16:20:21 UTC

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New package divoRce with initial version 1.0-2
Package: divoRce
Title: Diagnosing Separation Phenomena in Latent Polyhedral Categorical Response Models
Version: 1.0-2
Maintainer: Thomas Rusch <thomas.rusch@wu.ac.at>
Description: Utilities for checking and diagnosing separation phenomena (complete separation, quasi-complete separation, overlap) for latent polyhedral categorical response models including binary, nominal and ordinal data models with link construction as baseline-category, adjacent-category, cumulative, sequential (continuation-ratio), ordered stereotype and arbitrary link error distribution (including logit, probit, cauchit, cloglog, loglog, log amongst others) based on structure vectors as described in Sablica, Hornik, Rusch (2026) <doi:10.48550/arXiv.2610.08100> and Rusch, Sablica, Hornik (2026) <doi:10.48550/arXiv.2610.09951>. The package functionality includes a check for separation and a check for overlap with a linear program, a quick check for overlap, a sequential and a parallel check for overlap based on subsamples, detailed separation diagnostics such as identification of columns in the design matrix/structure vector matrix that lead to separation, identification of design m [...truncated...]
Depends: R (>= 3.5.0)
Imports: rcdd
Suggests: clustord, detectseparation, MASS, nnet, ordinal, ROI
License: GPL-2 | GPL-3
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-08 11:38:25 UTC; trusch
Author: Thomas Rusch [aut, cre] , Lukas Sablica [aut] , Kurt Hornik [aut]
Repository: CRAN
Date/Publication: 2026-10-18 16:30:14 UTC

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New package forecastsuite with initial version 1.0.2
Package: forecastsuite
Title: Multi-Model Time Series Forecasting Toolkit and Local App
Version: 1.0.2
Description: Fits, compares and visualizes univariate time series forecasts through an extensible model registry built largely on the 'forecast' package: AutoRegressive Integrated Moving Average (ARIMA) and Seasonal ARIMA (SARIMA) models (Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>), Error, Trend, Seasonal (ETS) exponential smoothing (Hyndman et al. (2002) <doi:10.1016/S0169-2070(01)00110-8>), Trigonometric seasonality, Box-Cox transformation, AutoRegressive Moving Average (ARMA) errors, Trend and Seasonal components (TBATS) models (De Livera, Hyndman and Snyder (2011) <doi:10.1198/jasa.2011.tm09771>), Neural Network AutoRegression (NNETAR) and Holt-Winters exponential smoothing (Winters (1960) <doi:10.1287/mnsc.6.3.324>), plus optional 'Prophet' models via the 'prophet' package (Taylor and Letham (2018) <doi:10.1080/00031305.2017.1380080>) and Long Short-Term Memory (LSTM) networks via the 'torch' package (Hochreiter and Schmidhuber (1997) <doi:10.1162 [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/SpaRroW410/Forecast_dashboard/tree/main/forecastsuite
BugReports: https://github.com/SpaRroW410/Forecast_dashboard/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: shiny, dplyr, lubridate, tibble, tidyr, stringr, plotly, DT, forecast, zoo, shinycssloaders, shinyjs, colourpicker, stats, utils, grDevices, graphics
Suggests: prophet, torch, readxl, writexl, testthat (>= 3.0.0), withr, rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-07 08:52:02 UTC; runner
Author: Mukul Maheshwari [aut, cre, cph]
Maintainer: Mukul Maheshwari <ryan00700@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-18 16:00:02 UTC

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New package dmrfit with initial version 0.1.0
Package: dmrfit
Date: 2026-10-07
Title: Scalable Bayesian Inference for Discrete Markov Random Fields
Version: 0.1.0
Description: Estimation of discrete Markov random fields through the pseudo-likelihood, for both Ising models (Ising (1925) <doi:10.1007/BF02980577>) and ordinal Markov random fields (Marsman et al. (2025) <doi:10.1017/psy.2024.4>). Point estimates, either maximum pseudo-likelihood or maximum a posteriori, are obtained through a trust region optimization algorithm, with robust standard errors from the Godambe-Huber-White (GHW, or sandwich) estimator, for both full and constrained network structures. Bayesian inference corrects the pseudo-posterior through coordinate rescaling (Arena and Marsman (2026) <doi:10.48550/arXiv.2601.17205>), which matches its covariance to the GHW covariance, and samples from it with the Fisher adaptive Metropolis-adjusted Langevin algorithm (Titsias (2024) <doi:10.48550/arXiv.2305.14442>). For comparison, the posterior based on the full likelihood can also be sampled, exactly for small networks or with the double Metropolis-Hastings algorithm (Lia [...truncated...]
License: MIT + file LICENSE
Copyright: The dataset 'rads2' is licensed under CC BY 4.0; see file COPYRIGHTS.
URL: https://jupepis.github.io/dmrfit/, https://github.com/jupepis/dmrfit
BugReports: https://github.com/jupepis/dmrfit/issues
Depends: R (>= 4.0.0)
Imports: ggplot2, grDevices, graphics, parallel, Rcpp (>= 1.1.0), stats
Suggests: igraph, knitr, rmarkdown, tinytest
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-07 21:10:23 UTC; giuseppearena
Author: Giuseppe Arena [aut, cre]
Maintainer: Giuseppe Arena <g.arena@uva.nl>
Repository: CRAN
Date/Publication: 2026-10-18 15:10:02 UTC

More information about dmrfit at CRAN
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New package BDIB with initial version 0.1.1
Package: BDIB
Title: Bayesian Dynamic Information Borrowing for Longitudinal Data with Informative Dropout
Version: 0.1.1
Description: Implements 'BDIB' (Bayesian dynamic information borrowing) for longitudinal outcomes with informative dropout. The package provides the mixture prior for longitudinal data borrowing (MLB) and the self-adapting mixture prior for longitudinal data information borrowing (SLB). Both methods use a shared-parameter model for outcomes and dropout.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: RBesT, jagsUI, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-08 00:45:36 UTC; saijun
Author: Saijun Zhao [aut, cre]
Maintainer: Saijun Zhao <saijzhao@iu.edu>
Repository: CRAN
Date/Publication: 2026-10-18 15:40:02 UTC

More information about BDIB at CRAN
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New package XSLmodels with initial version 0.4.0
Package: XSLmodels
Title: Run and Optimize Cross-Situational Word Learning Models
Version: 0.4.0
Maintainer: George Kachergis <george.kachergis@gmail.com>
Description: A collection of cognitive models of cross-situational word learning, together with methods and datasets for fitting and cross-validating them against experimental and corpus data, and for plotting the results.
URL: https://www.kachergis.com/XSLmodels/, https://github.com/kachergis/XSLmodels
BugReports: https://github.com/kachergis/XSLmodels/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: DEoptim, dplyr, ggplot2, purrr, rlang, tibble, tidyr
Suggests: gganimate, knitr, rmarkdown, testthat (>= 3.0.0), viridis
VignetteBuilder: knitr
LazyData: true
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2026-10-07 17:46:52 UTC; gkacherg
Author: George Kachergis [aut, cre] , Mika Braginsky [aut] , Kevin Liang [aut]
Repository: CRAN
Date/Publication: 2026-10-18 14:50:07 UTC

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New package namegender with initial version 0.7.1
Package: namegender
Title: Client for the 'NameGender' Name-to-Gender API
Version: 0.7.1
Description: Infer the likely gender of first names, email addresses and usernames, and the country distribution of a name, through the 'NameGender' web API <https://namegender.com>. Each answer carries the share and number of records behind it and the data version that produced it, so results can be reported and reproduced in research. Also returns letter salutations, checks whether a name looks like a real person's name, runs 'CSV' and 'XLSX' files as file jobs, and verifies the signature of 'NameGender' webhooks. An API key is needed.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: jsonlite, httr2, openssl, utils
Suggests: testthat (>= 3.0.0)
URL: https://namegender.com/docs, https://github.com/anpekesen/namegender-r
BugReports: https://github.com/anpekesen/namegender-r/issues
NeedsCompilation: no
Packaged: 2026-10-07 14:50:29 UTC; anilpekesen
Author: Anil Pekesen [aut, cre], NameGender [cph]
Maintainer: Anil Pekesen <info@namegender.com>
Repository: CRAN
Date/Publication: 2026-10-18 14:30:02 UTC

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New package lwpls with initial version 0.3.0
Package: lwpls
Title: Locally-Weighted Partial Least Squares for 'tidymodels'
Version: 0.3.0
Description: Locally-weighted partial least squares (LW-PLS) is a just-in-time learning method that builds a dedicated weighted partial least squares model around every new sample, where training samples are weighted by their similarity to that sample (Kim et al. (2011) <doi:10.1016/j.ijpharm.2011.10.007>). Regression (single or multiple outcomes) and classification (locally weighted partial least squares-discriminant analysis; Bevilacqua and Marini (2014) <doi:10.1016/j.aca.2014.05.057>) are supported. The local models can be robust to outliers, by partial robust M-regression (Serneels et al. (2005) <doi:10.1016/j.chemolab.2005.04.007>), and sparse (Hoffmann et al. (2015) <doi:10.1016/j.chemolab.2015.09.019>). The prediction kernel is written in C++ with 'RcppArmadillo', and the model is integrated with the 'parsnip', 'dials', 'tune' and 'yardstick' packages so it can be used within the 'tidymodels' framework. Diagnostics of the local models (prediction reliability, local r [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/ChristianGoueguel/lwpls, https://christiangoueguel.com/lwpls/
BugReports: https://github.com/ChristianGoueguel/lwpls/issues
Depends: R (>= 4.1.0)
Imports: cli, dials (>= 1.2.0), generics, ggplot2 (>= 3.5.0), hardhat (>= 1.3.0), parsnip (>= 1.3.0), Rcpp, rlang (>= 1.1.0), scales (>= 1.3.0), stats, tibble, vctrs, yardstick (>= 1.2.0)
Suggests: dplyr, knitr, modeldata, plotly, pls, recipes, rmarkdown, rsample, spelling, testthat (>= 3.0.0), tune (>= 1.1.0), withr, workflows
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2026-10-07 19:35:25 UTC; christiangoueguel
Author: Christian L. Goueguel [aut, cre], Hiromasa Kaneko [cph]
Maintainer: Christian L. Goueguel <christian.goueguel@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-18 15:00:02 UTC

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New package irw with initial version 1.3.1
Package: irw
Title: Access and Analyze Data from the Item Response Warehouse
Version: 1.3.1
Maintainer: Ben Domingue <ben.domingue@gmail.com>
URL: https://itemresponsewarehouse.github.io/Rpkg/
Contact: mailto:itemresponsewarehouse@stanford.edu
Description: Find, download, and analyze datasets from the Item Response Warehouse, a harmonized collection of item response data from educational and psychological measurement described in Nadela et al. (2026) <doi:10.59863/cijg4549>. Functions search tables by metadata, fetch them in a common long format, reshape between long and wide layouts, simulate item response data, and compare the predictive accuracy of fitted models with the InterModel Vigorish.
Depends: R (>= 4.0.0)
Imports: glue, httr, imv, tibble, tools, utils, stats
Suggests: arrow, redivis, testthat (>= 3.0.0), withr, evaluate, mirt, gnm, BradleyTerry2
Additional_repositories: https://redivis.r-universe.dev
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/itemresponsewarehouse/Rpkg/issues
NeedsCompilation: no
Packaged: 2026-10-07 16:29:59 UTC; ben
Author: Hansol Lee [aut, cph], Michael Hardy [aut, cph], Ben Domingue [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-10-18 14:40:07 UTC

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New package CUNYsports with initial version 0.1.0
Package: CUNYsports
Title: Accessible Collegiate Athletics Data from the City University of New York (CUNY)
Version: 0.1.0
Description: Provides access to collegiate athletics data from the City University of New York (CUNY), the largest urban public university system in the United States. Includes tools for discovering and retrieving sports data from an included SQLite database. The data covers individual CUNY schools, players, games, seasons, and other aspects of CUNY athletics, providing accessible datasets for teaching, student learning, and sports analytics.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: DBI, dplyr, RSQLite, stringr, rlang, tibble
Suggests: ggplot2, knitr, rmarkdown, dbplyr
VignetteBuilder: knitr
URL: https://nyc-open-data-lab.github.io/CUNYsports/, https://github.com/nyc-open-data-lab/CUNYsports
BugReports: https://github.com/nyc-open-data-lab/CUNYsports/issues
NeedsCompilation: no
Packaged: 2026-10-07 15:32:40 UTC; christianmartinez
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-10-18 14:20:08 UTC

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New package POEMED with initial version 1.0.0
Package: POEMED
Title: Power Enhancement for High-Dimensional Mediation Analysis
Version: 1.0.0
Date: 2026-10-05
Description: Provides powerful global tests for high-dimensional mediation analysis with heterogeneous (and even contrasting) mediation effects, for continuous, binary, and count outcomes. The power enhancement (PE) idea augments a Wald test on the total indirect effect with a component that captures marginal signals from individual mediators, so that active mediators are detected even when their individual indirect effects cancel and the total indirect effect is zero. The package also identifies which individual mediators are active with familywise error rate or false discovery rate control. The methods implement Yu and Kelley (in press), "Power Enhancement in High-Dimensional Heterogeneous Mediation Analysis" (Journal of the American Statistical Association); the package also simulates mediation data under the homogeneous, heterogeneous, and contrasting patterns that the article studies, ships its empirical health-expenditure data as a benchmark and reruns that empirical analysis, and runs the de [...truncated...]
Imports: generics, glmnet, graphics, ncvreg, parallel, stats, utils, withr (>= 3.0.3)
Suggests: knitr, rmarkdown, testthat (>= 3.2.0), tools
License: GPL (>= 3)
Copyright: Xiufan Yu and Ken Kelley, except the WHO_health_mediation and WHO_indicator_codebook data sets, which redistribute World Health Organization (Global Health Expenditure Database) and World Bank (World Development Indicators) data under the terms stated on the help page of WHO_health_mediation and, in the source package, in the file LICENSE.note.
URL: https://github.com/yelleKneK/POEMED, https://yelleknek.github.io/POEMED/
BugReports: https://github.com/yelleKneK/POEMED/issues
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-10-05 11:34:16 UTC; kkelley
Author: Xiufan Yu [aut], Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>
Repository: CRAN
Date/Publication: 2026-10-18 14:00:02 UTC

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Fri, 16 Oct 2026

New package BreedReliabR with initial version 0.1.1
Package: BreedReliabR
Title: Decision Reliability for Genotype Advancement under Prediction and Target Environment Uncertainty
Version: 0.1.1
Description: A model-agnostic research layer for genotype advancement decisions from externally fitted genomic prediction models. It propagates full joint coefficient prediction-error covariance together with finite sampling from a specified target population of environments to calculate conditional advancement probabilities, expected selected-set reliability, and the relative contributions of prediction and target-environment uncertainty. It also compares uncertainty formulations and reports geometric support diagnostics. Probabilities are conditional on supplied inputs and are not guaranteed to be calibrated in new populations or environments.
URL: https://github.com/annusawarkar-sys/BreedReliabR
BugReports: https://github.com/annusawarkar-sys/BreedReliabR/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-01 16:47:52 UTC; User
Author: Ashutosh Sawarkar [aut, cre] , Santosh Patil [aut]
Maintainer: Ashutosh Sawarkar <annu.sawarkar@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-16 15:10:18 UTC

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New package ertte with initial version 0.1.1
Package: ertte
Title: Exposure-Response Tools for Time-to-Event Models
Version: 0.1.1
Description: Provides estimation tools for exposure-response models of time-to-event endpoints based on the 'survival' package: parametric accelerated failure time model fitting and prediction with AIC-based distribution selection, stepwise covariate modelling, and simulation-based visual predictive checks. Tested and supported for the exponential, Weibull, log-normal, and log-logistic distributions. For a model-agnostic mini-language to visualise exposure-response models (including those fitted with 'ertte'), see the companion package 'erplots'.
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
Imports: dplyr, mvtnorm, rlang, stats, survival, tibble, withr
Suggests: erplots, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/djnavarro/ertte, https://ertte.djnavarro.net/
BugReports: https://github.com/djnavarro/ertte/issues
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-04 23:34:10 UTC; danielle
Author: Danielle Navarro [aut, cre]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>
Repository: CRAN
Date/Publication: 2026-10-16 14:40:02 UTC

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New package doubletrs with initial version 0.1.0
Package: doubletrs
Title: Memory-Efficient Doublet Detection for Single-Cell RNA Sequencing
Version: 0.1.0
Description: Detects doublets in single-cell RNA sequencing data with the 'DoubletFinder' method of McGinnis, Murrow and Gartner (2019) <doi:10.1016/j.cels.2019.03.003>, implemented in 'Rust' to use less memory and time. Provides artificial doublet simulation, exact nearest-neighbour search and pANN (proportion of artificial nearest neighbours) scoring, and reproduces 'DoubletFinder' scores exactly.
License: MIT + file LICENSE
URL: https://github.com/mayankgandhi13/doublet-rs
BugReports: https://github.com/mayankgandhi13/doublet-rs/issues
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.71
Encoding: UTF-8
Imports: graphics, KernSmooth, Matrix, methods, parallel, stats
Suggests: knitr, rmarkdown, Seurat (>= 5.0.0), SeuratObject (>= 5.0.0), testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-01 02:49:57 UTC; mayankgandhi
Author: Mayank Gandhi [aut, cre, cph], Authors of the dependency Rust crates [cph]
Maintainer: Mayank Gandhi <135.mayankgandhi@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-16 14:40:08 UTC

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New package VCFArrow with initial version 0.9.0
Package: VCFArrow
Title: Fast and Memory-Efficient Manipulation and Conversion of VCF Files
Version: 0.9.0
Description: Reads Variant Call Format (VCF) files into an S4 object whose genotypes are stored on disk as an 'Apache Arrow' dataset and loaded lazily, allowing large datasets to be processed with little memory. Provides functions to filter variants and samples, subset and merge datasets, compute summary statistics and diagnostic plots, write VCF files, and convert data to input formats of population genetic and phylogenetic software such as 'STRUCTURE', 'ADMIXTURE', 'PLINK', 'EIGENSTRAT', 'Arlequin', 'GENEPOP', 'BayeScan', 'TreeMix', 'SNAPP' and 'adegenet'.
URL: https://legallab.github.io/VCFArrow/, https://github.com/legalLab/VCFArrow
BugReports: https://github.com/legalLab/VCFArrow/issues
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
LinkingTo: Rcpp
Imports: Rcpp, arrow, cli, dplyr, ggplot2, methods, parallel, stats, stringr, tibble, utils, vctrs
Suggests: adegenet, knitr, rmarkdown, svglite
VignetteBuilder: knitr
SystemRequirements: zlib
NeedsCompilation: yes
Packaged: 2026-10-07 03:07:51 UTC; tomas
Author: Tomas Hrbek [aut, cre, cph]
Maintainer: Tomas Hrbek <hrbek@evoamazon.net>
Repository: CRAN
Date/Publication: 2026-10-16 13:20:38 UTC

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New package treehunt with initial version 0.0.2
Package: treehunt
Title: Evolutionary Search for Optimal Node Combinations in Trees
Version: 0.0.2
Author: Jules Bangard [aut, cre]
Maintainer: Jules Bangard <jules.bangard@etu.unistra.fr>
Description: Provides Markov chain Monte Carlo (MCMC) sampling and genetic algorithms for searching combinations of nodes in hierarchical trees. Includes scores for binary outcomes, continuous outcomes, and recurrent events, with applications to pharmacovigilance and hospital data. Importance weighting estimates uniform combination score references from tempered MCMC samples and reports weight-based effective sample sizes. Computational routines are implemented in C++ via 'Rcpp'.
License: GPL-3
Imports: Rcpp (>= 1.1.0), jsonlite, survival
LinkingTo: Rcpp
Encoding: UTF-8
URL: https://github.com/JulesBa-Git/treehunt
BugReports: https://github.com/JulesBa-Git/treehunt/issues
Suggests: testthat (>= 3.0.0), umap, dbscan, ggplot2
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-10-07 08:28:40 UTC; julesbangard
Repository: CRAN
Date/Publication: 2026-10-16 13:40:02 UTC

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New package SynthesizerPlus with initial version 0.2.9
Package: SynthesizerPlus
Title: Synthetic Data Generation with Copulas, Evaluation and Multi-Format I/O
Version: 0.2.9
Description: Generates synthetic versions of numeric, categorical, mixed-type and time-series data. Marginal distributions are modelled with interpolated empirical quantile functions and dependence with Gaussian or Student-t copulas (Sklar, 1959). Discrete and categorical variables enter the copula through the distributional transform (Ruschendorf, 2009, <doi:10.1016/j.jspi.2009.05.030>), and their latent correlations are estimated by maximum likelihood as polychoric (Olsson, 1979, <doi:10.1007/BF02296207>) and polyserial (Olsson, Drasgow and Dorans, 1982, <doi:10.1007/BF02294164>) correlations. Missing values are modelled by missingness indicators inside the copula, so that missingness may depend on other variables. Supports stratified models, a closeness parameter with calibration to a target distance or disclosure-risk level, chunked generation of very large data sets, copula vector-autoregressive and bootstrap time-series synthesis, augmentation of small training sets for mach [...truncated...]
License: EUPL (>= 1.2)
URL: https://github.com/bogdanoancea/SynthesizerPlus
BugReports: https://github.com/bogdanoancea/SynthesizerPlus/issues
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), stats, tools, utils
Suggests: arrow, data.table, fst, haven, hdf5r, jsonlite, knitr, MASS, nanoparquet, openxlsx, readxl, rmarkdown, rpart, testthat (>= 3.0.0), writexl
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-GB
NeedsCompilation: no
Packaged: 2026-10-07 07:22:59 UTC; bogdanoancea
Author: Bogdan Oancea [aut, cre, cph]
Maintainer: Bogdan Oancea <bogdan.oancea@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-16 13:30:15 UTC

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New package RTFBoost with initial version 0.1.0
Package: RTFBoost
Title: Robust Tree-Based Boosting for Functional Regression
Version: 0.1.0
Description: Implements a family of robust tree-based boosting methods for functional regression, including procedures based on least absolute deviation, M-estimation, and MM-estimation. The package also includes a non-robust tree-based boosting method introduced in Ju X and Salibian-Barrera M. (2024) <doi:10.1007/s00180-023-01364-2>. Functions are provided for model fitting and prediction in regression settings with functional predictors.
License: GPL (>= 3)
Imports: stats, rpart, lme4, splines, RobStatTM
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-07 07:54:01 UTC; xmengju
Author: Xiaomeng Ju [aut, cre], Matias Salibian-Barrera [aut]
Maintainer: Xiaomeng Ju <xiaomengju@uvic.ca>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-10-16 13:40:15 UTC

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New package modelname with initial version 0.1.0
Package: modelname
Title: Parse AI Model Names into Vendor, Family and Version
Version: 0.1.0
Description: Splits the identifiers and display names that AI labs give their models, such as 'claude-opus-4-1-20250805', 'gpt-4.1-mini' or 'Gemini 3.1 Pro Preview', into vendor, family, version, parameter size, release date and tags. Old and new naming schemes from 'Anthropic', 'OpenAI', 'Google' and 'OpenRouter' land in the same family, so models can be compared and the newest one in a family picked from a list. A port of the 'Go' module 'modelname' <https://pkg.go.dev/github.com/BoNour/modelname>.
License: MIT + file LICENSE
URL: https://whizi.io/models/, https://github.com/BoNour/modelname-r
BugReports: https://github.com/BoNour/modelname-r/issues
Depends: R (>= 3.5.0)
Suggests: tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-07 03:51:09 UTC; BoNour
Author: Nour Ayman [aut, cre, cph]
Maintainer: Nour Ayman <nourayman850@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-16 13:20:15 UTC

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New package knitroff with initial version 0.1.0
Package: knitroff
Title: Dynamic Reports in 'troff' with 'knitr'
Version: 0.1.0
Description: Write reports in 'troff' with the 'ms' macros and R code chunks between '.SS' and '.SE', the way 'eqn' and 'tbl' blocks sit in a document, and turn them into PDF, PostScript or a terminal draft with GNU 'groff'. 'knitr' runs the code, and its results can also be placed in the text.
License: MIT + file LICENSE
URL: https://github.com/danielgccr/knitroff
BugReports: https://github.com/danielgccr/knitroff/issues
Encoding: UTF-8
Imports: knitr
Suggests: rstudioapi
SystemRequirements: GNU groff (>= 1.22) for render_roff(); pdfinfo (poppler) for figures in PDF output
NeedsCompilation: no
Packaged: 2026-10-07 09:15:59 UTC; daniel
Author: Daniel Garcia [aut, cre]
Maintainer: Daniel Garcia <danielgarcarrasco@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-16 13:40:09 UTC

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New package irtlink with initial version 0.1.0
Package: irtlink
Title: IRT Linking and Linking Error Estimation Across Time Points and Groups
Version: 0.1.0
Description: Estimation of trends in the mean and standard deviation of latent ability distributions across the time points of educational assessments, and of ability distribution differences across linked groups, for unidimensional item response theory (IRT) models (1PL, 2PL, 3PL, partial credit, and generalized partial credit). Groups connected through common items, with independent or dependent person samples, are calibrated on an internal marginal maximum likelihood EM engine, separately, concurrently, with fixed item parameters, or with regularized calibration. Linking methods include mean-mean and mean-geometric mean linking, Haberman linking (Haberman, 2009, <doi:10.1002/j.2333-8504.2009.tb02197.x>) with robust Lp loss and a pairwise variant (Robitzsch, 2025, <doi:10.3390/appliedmath5010007>), and the response function methods of Haebara and Stocking-Lord. Under differential item functioning (DIF), the linked estimates depend on the selected common items, and the package estimate [...truncated...]
License: GPL (>= 3)
URL: https://github.com/oskarengels/irtlink
BugReports: https://github.com/oskarengels/irtlink/issues
Encoding: UTF-8
Imports: graphics, grDevices, parallel, Rcpp, stats, utils
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.1.7)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-06 21:45:08 UTC; engels
Author: Oskar Engels [aut, cre]
Maintainer: Oskar Engels <engels@leibniz-ipn.de>
Repository: CRAN
Date/Publication: 2026-10-16 13:30:02 UTC

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New package glpsol with initial version 0.1.0
Package: glpsol
Title: Bundled 'GLPK' Solver for 'MathProg', 'LP' and 'MPS' Models
Version: 0.1.0
Description: Ships the 'glpsol' stand-alone solver of the GNU Linear Programming Kit ('GLPK') with R and runs it as a separate process with a time limit and an optional live log. 'glpsol' reads 'MathProg' ('GMPL') models with separate data files, 'CPLEX' LP and MPS files, and solves them with the simplex, interior-point or branch-and-cut methods, writing the solution to a file. Windows and macOS binary builds carry a static copy of 'GLPK'; other platforms link against the system library.
License: GPL-3
Encoding: UTF-8
SystemRequirements: GLPK (>= 5.0): libglpk-dev (deb), glpk-devel (rpm), glpk (brew)
URL: https://optimal2050.github.io/glpsol/, https://github.com/optimal2050/glpsol
BugReports: https://github.com/optimal2050/glpsol/issues
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-07 02:13:34 UTC; admin
Author: Oleg Lugovoy [aut, cre] , Free Software Foundation, Inc. [cph]
Maintainer: Oleg Lugovoy <olugovoy@optimalsolution.dev>
Repository: CRAN
Date/Publication: 2026-10-16 13:20:20 UTC

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New package fvfmR with initial version 1.0.0
Package: fvfmR
Title: Chlorophyll Fluorescence (Fv/Fm) Analysis of Leaf Disc Images
Version: 1.0.0
Description: Semi-automated analysis of chlorophyll fluorescence images of leaf discs taken with a 'Walz' 'IMAGING-PAM' fluorometer. Provides an R interface to the 'fvfmPy' 'Python' package, which detects leaf discs, assigns them to a grid of rows and columns, and computes the maximum quantum efficiency of photosystem II, Fv/Fm = (Fm - Fo) / Fm, for each disc. The interactive 'fvfmPy' window is launched from R and the results are returned to R as a data frame.
License: MIT + file LICENSE
URL: https://github.com/garenj/fvfmR, https://github.com/garenj/fvfmPy
BugReports: https://github.com/garenj/fvfmR/issues
Encoding: UTF-8
Language: en-GB
Imports: reticulate, utils
Suggests: testthat (>= 3.0.0)
SystemRequirements: Python (>= 3.10), fvfmPy (>= 1.0.0)
NeedsCompilation: no
Packaged: 2026-10-07 04:46:34 UTC; u1058369
Author: Josef Garen [aut, cph], Pieter Arnold [aut, cre, cph], Kristine Crous [aut, cph]
Maintainer: Pieter Arnold <pieter.arnold@anu.edu.au>
Repository: CRAN
Date/Publication: 2026-10-16 13:20:26 UTC

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New package ClimateAnomaly with initial version 1.0.0
Package: ClimateAnomaly
Title: Rainfall and Temperature Anomaly Indices for Climate Analysis
Version: 1.0.0
Maintainer: Ranjit Kumar Paul <ranjitstat@gmail.com>
Description: Computes rainfall anomaly indices and a standardised temperature anomaly from monthly or annual precipitation and temperature data supplied by the user. The rainfall indices are the Rainfall Anomaly Index (RAI; Van Rooy, 1965), the Modified Rainfall Anomaly Index (MRAI) and the Standardized Rainfall Anomaly Index (SRAI) of Ekpetere (2025) <doi:10.1016/j.jenvman.2025.124160>, the Simplified Standardized Precipitation Index (SSPI) of Raziei (2021) <doi:10.1016/j.jhydrol.2021.126761>, and the Standardized Precipitation Index (SPI; McKee et al., 1993). The temperature anomaly is a z-score computed within each calendar month. All indices are computed group-wise, so the user can stratify by any combination of spatial units (state, district, grid cell) and calendar month, and each value can be classified into a descriptive severity class.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, e1071
Suggests: knitr, rmarkdown, testthat (>= 3.1.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-07 11:49:55 UTC; YEASIN
Author: Md Yeasin [aut], Ranjit Kumar Paul [aut, cre], Pushkar Bora [aut]
Repository: CRAN
Date/Publication: 2026-10-16 13:50:02 UTC

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