CRANberries

Fri, 02 Oct 2026

New package TEMPO with initial version 0.1.0
Package: TEMPO
Title: Tools for Romania's National Institute of Statistics Tempo Data
Version: 0.1.0
Maintainer: Marian Necula <marian.necula00@gmail.com>
Description: Download table metadata and data from the Romanian National Institute of Statistics' TEMPO Online database. Tables can be listed in Romanian or English and downloaded as CSV files.
License: GPL-3 | EUPL-1.1
URL: https://github.com/RProjectRomania/TEMPO
BugReports: https://github.com/RProjectRomania/TEMPO/issues
Depends: R (>= 3.6)
Imports: curl (>= 5.0.0), jsonlite (>= 1.7.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-23 07:22:27 UTC; Marian
Author: Marian Necula [aut, cre], Bogdan Oancea [aut], Ana Maria Tiru [aut]
Repository: CRAN
Date/Publication: 2026-10-02 12:20:02 UTC

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New package PBGoF with initial version 0.1.0
Package: PBGoF
Title: Parametric Bootstrap Tests for the Skew-Normal Distribution
Version: 0.1.0
Date: 2026-09-23
Maintainer: Hongxiang Li <hxli@ynnu.edu.cn>
Depends: R (>= 4.1)
Description: Provides goodness-of-fit tests for the skew-normal distribution with estimated parameters. Implements Kolmogorov-Smirnov and Cramér-von Mises tests using parametric bootstrap or precomputed simulation quantiles, together with robust parameter estimation procedures. Package methods and documentation are described by Li and Khang (2026) <https://github.com/Divo-Lee/PBGoF>.
Imports: methods, sn
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-23 06:56:25 UTC; chels
Author: Hongxiang Li [aut, cre], Tsung Fei Khang [aut]
Repository: CRAN
Date/Publication: 2026-10-02 12:10:09 UTC

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New package UlavalSSD with initial version 0.3.1
Package: UlavalSSD
Title: Quebec Data and Tools for Introductory Data Science
Version: 0.3.1
Description: Historical weather observations and food-establishment conviction records from Quebec for teaching data import, missing values, exploratory analysis and reproducible reporting. Includes bilingual prompts and feedback for a penguin data-cleaning exercise, and an optional static R code-style diagnostic based on 'lintr', as described by Hester and others (2025) <doi:10.21105/joss.07240>. Data are distributed as fixed teaching snapshots and require no network access during use.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Suggests: knitr, lintr (>= 3.4.0), rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/AurelienNicosiaULaval/UlavalSSD
BugReports: https://github.com/AurelienNicosiaULaval/UlavalSSD/issues
NeedsCompilation: no
Packaged: 2026-09-22 21:32:52 UTC; runner
Author: Aurelien Nicosia [aut, cre]
Maintainer: Aurelien Nicosia <nicosia.aurelien@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 11:10:02 UTC

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New package PDRobust with initial version 0.3.8
Package: PDRobust
Title: Robust Longitudinal Effects Under Truncation by Death
Version: 0.3.8
Description: Implements principal-stratification methods for estimating time-specific and pooled heterogeneous treatment effects in longitudinal studies where outcomes may be truncated by death. Supports continuous and binary outcomes, explicit data validation and standardization, and covariate-dependent treatment effects. Fits propensity-score, principal-score, and outcome models and provides subject-level bootstrap inference, covariate-balance diagnostics, principal-stratum summaries, treatment-group-specific survival odds ratios, and outcome-noise sensitivity analysis. Methodological background is provided in <doi:10.48550/arXiv.2608.06654>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: ggplot2, quantreg, rootSolve, stats, utils
Suggests: knitr, ragg, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: xz
URL: https://github.com/whhuan/PD_Robust, https://whhuan.github.io/PD_Robust/
BugReports: https://github.com/whhuan/PD_Robust/issues
NeedsCompilation: no
Packaged: 2026-09-23 01:10:00 UTC; sunday
Author: Huan Wang [aut, cre], Yilin Zhang [aut]
Maintainer: Huan Wang <whhuan42@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 11:20:02 UTC

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New package mudnester with initial version 0.7.8
Package: mudnester
Title: Surveillance Data Cleaning and Preparation for Public Health
Version: 0.7.8
Description: Clean, prepare, and aggregate surveillance data for public health analysis. Provides structural data cleaning and standardisation (clean_the_nest()), age categorisation against ~50 published schemes with publication-ready labelling (preening()), time-unit aggregation with zero-filling and seasonal awareness (roost()), joint aggregation of several linked event dates (e.g. onset, admission, ICU, complication, fatality) into one table of comparable rate columns (flyway()), under-ascertainment correction via a stratified, time-varying multiplier factor supplied directly, derived by the ratio (multiplier) method, or derived by inverting an externally sourced severity rate (e.g. an infection-fatality-rate anchor) against an observed severity ratio (corncrake()), comorbidity detection from ICD-10-AM clinical coding (plumage()), vaccine coverage data construction (brood()), hash-based de-identification (molting()), and relinking of previously de-identified data (homing()). brood() produces a b [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: dplyr (>= 1.1.0), tidyr (>= 1.3.0), lubridate (>= 1.9.0), stringr (>= 1.5.0), rlang (>= 1.1.0), tibble (>= 3.2.0), digest (>= 0.6.30), janitor (>= 2.2.0), utils, stats
Suggests: testthat (>= 3.0.0), knitr (>= 1.42), rmarkdown (>= 2.20), usethis (>= 2.1.0), gtsummary, ggplot2
Encoding: UTF-8
Language: en-GB
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/nrsmoll/mudnester
BugReports: https://github.com/nrsmoll/mudnester/issues
NeedsCompilation: no
Author: Nicolas Smoll [aut, cre] , Moderna [fnd]
Maintainer: Nicolas Smoll <nicolas.smoll@health.qld.gov.au>
Packaged: 2026-09-23 03:20:56 UTC; SmollN
Repository: CRAN
Date/Publication: 2026-10-02 11:50:02 UTC

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New package eduResearchR with initial version 0.1.0
Package: eduResearchR
Title: A Collection of Educational Datasets for Research and Statistical Analysis
Version: 0.1.0
Maintainer: Jorge Luis Marmanillo Santana <jlmarmanillo@gmail.com>
Description: Curates a comprehensive and robust collection of 15 classic educational, economic, and social science datasets meticulously tailored for empirical research, project-based learning, and academic instruction in higher education. It streamlines exploratory data analysis, business intelligence modeling, regression techniques, and hypothesis testing by providing ready-to-use data structures sourced from prominent community packages (Kleiber and Zeileis (2008) <https://CRAN.R-project.org/package=AER>; Fox and Weisberg (2019) <https://CRAN.R-project.org/package=carData>).
License: GPL-3
Language: en
URL: https://github.com/jlmarmanillo-jlms/eduResearchR
BugReports: https://github.com/jlmarmanillo-jlms/eduResearchR/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports:
Suggests: ggplot2, testthat (>= 3.0.0), dplyr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-23 05:03:39 UTC; jlmar
Author: Jorge Luis Marmanillo Santana [aut, cre] , Christian Kleiber [ctb] , John Fox [ctb] , Douglas Bates [ctb] , Thomas Lumley [ctb] , Jeremy Finn [ctb] .), Andrew Raudenbush [ctb]
Repository: CRAN
Date/Publication: 2026-10-02 11:50:09 UTC

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New package timesift with initial version 0.3.1
Package: timesift
Title: Learn Predictive Representations of Time-Varying Data
Version: 0.3.1
Description: Fits and compares representations of time-varying data against a prediction target. Given a table of targets and a table of time-stamped series belonging to them, it builds each candidate representation, from the record unreduced through a calendar grain such as a week or a month to a lookback anchored on each target, fits the requested learners on each, scores every candidate on one set of held-out folds, and stacks the out-of-fold predictions into an ensemble. Calendar-aware binning keeps a bin a real week or month rather than a fixed block of hours. Learners, response heads and metrics are registered rather than hard-coded, so adding one is a registration and not a fork of the fitting code. The penalised baseline is an elastic net fitted by cyclic coordinate descent along a warm-started path, following Friedman, Hastie and Tibshirani (2010) <doi:10.18637/jss.v033.i01>. The shipped default is presence-absence with a joint multi-label head scored by the true skill statistic of A [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://gillescolling.com/timesift/, https://github.com/gcol33/timesift
BugReports: https://github.com/gcol33/timesift/issues
Depends: R (>= 4.1)
LinkingTo: cpp11
Imports: grDevices, graphics, rlang, stats, tidyselect (>= 1.2.0), tools, utils
Suggests: testthat (>= 3.0.0), torch, glmnet, ranger, lme4, lmerTest, emmeans, knitr, rmarkdown, spelling, withr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-22 20:07:12 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 10:40:02 UTC

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New package shinyHierarchy with initial version 0.1.0
Package: shinyHierarchy
Title: Hierarchical Input Component for Shiny
Version: 0.1.0
Description: Hierarchical slicer-style input for Shiny applications with multi-selection, tri-state checkboxes, search, cascading selection, and a structured selection value for analytics workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: shiny, htmltools, jsonlite
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-22 19:07:52 UTC; luis.rodriguez
Author: Luis Rodriguez [aut, cre]
Maintainer: Luis Rodriguez <devmazter92@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 10:10:09 UTC

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New package pubformat with initial version 0.1.0
Package: pubformat
Title: Publication-Ready Formatting for Statistical Results
Version: 0.1.0
Description: Provides tools for converting statistical results into consistent, publication-ready character output. Current functionality includes formatting p-values, confidence intervals, and correlation coefficients using publication-friendly conventions. The package emphasizes consistent reporting while preserving the underlying statistical results and statistical decision-making.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/Reynolds826/pubformat
BugReports: https://github.com/Reynolds826/pubformat/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 19:54:56 UTC; rballotti
Author: RJ Ballotti [aut, cre]
Maintainer: RJ Ballotti <rballotti@coastal.edu>
Repository: CRAN
Date/Publication: 2026-10-02 10:50:02 UTC

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New package likingInitiative with initial version 0.2.2
Package: likingInitiative
Title: Access the Liking Rating Database
Version: 0.2.2
Description: Download and work with the Liking Rating Database, a curated collection of subjective liking ratings from published decision-making studies, described in Fernandez, Goyal and Krajbich (2026) <doi:10.5281/zenodo.22216442>. Data is read from versioned release files and cached for the session, so a pinned version returns the same rows regardless of when it is run. Provides access by dataset, by item across studies, or as the whole corpus, together with the metadata and citations needed to report it.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, fs, httr2, jsonlite, readr, tibble, tools
Suggests: testthat (>= 3.0.0)
URL: https://liking-rating-frontend.onrender.com, https://github.com/liking-initiative/likingInitiative-r
BugReports: https://github.com/liking-initiative/likingInitiative-r/issues
NeedsCompilation: no
Packaged: 2026-09-22 19:57:00 UTC; kiante
Author: Kiante Fernandez [aut, cre, cph]
Maintainer: Kiante Fernandez <kiantefernan@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 10:50:07 UTC

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New package zujson with initial version 0.1.0
Package: zujson
Title: Lightweight JSON Parsing and Serialization
Version: 0.1.0
Description: Converts between JSON text and ordinary R vectors and lists through a small, predictable set of functions, backed by vendored 'yyjson' <https://github.com/ibireme/yyjson> and requiring no system JSON library. Parsing accepts character, raw and file input and reports failures through structured conditions; serialization writes UTF-8 bytes suitable for use directly as an HTTP request body. The type mapping is deliberately narrow and fully documented, so what goes in and what comes out are both predictable.
License: MIT + file LICENSE
URL: https://github.com/pedrobtz/zujson, https://pedrobtz.github.io/zujson/
BugReports: https://github.com/pedrobtz/zujson/issues
Encoding: UTF-8
Language: en-GB
Imports: utils
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.2.0), withr
NeedsCompilation: yes
Packaged: 2026-09-18 13:05:38 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], YaoYuan [ctb, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 09:10:01 UTC

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New package yaleBraille with initial version 0.2.2
Package: yaleBraille
Title: Generate Braille-Enabled Graphics
Version: 0.2.2
Description: Provides tools for rendering and visualizing Braille patterns in R, using the liblouis translation library. For more information see <https://github.com/wininger/yaleBraille>.
License: LGPL (>= 2.1)
Imports: grDevices, graphics, stats, sysfonts, showtext
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
URL: https://github.com/wininger/yaleBraille
BugReports: https://github.com/wininger/yaleBraille/issues
LazyData: true
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
Packaged: 2026-09-22 16:08:43 UTC; wininger
Author: Mike Wininger [aut, cre] , liblouis contributors [ctb, cph] )
Maintainer: Mike Wininger <michael.wininger@yale.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-10-02 09:50:02 UTC

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New package rumenGP with initial version 0.1.1
Package: rumenGP
Title: Rumen Gas Production Modeling, Comparison, and Visualization
Version: 0.1.1
Description: Provides tools for importing, processing, visualizing, fitting, comparing, and interpreting in vitro rumen gas production data. Supports ANKOM RF workflows, generic gas production datasets, and pressure-based measurements. Includes multiple kinetic models, custom nonlinear models, model comparison workflows, treatment-level ranking, diagnostic tools, and visualization functions for rumen fermentation studies.
License: MIT + file LICENSE
URL: https://araujorodrig-lab.github.io/rumenGP/, https://github.com/araujorodrig-lab/rumenGP
BugReports: https://github.com/araujorodrig-lab/rumenGP/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, lubridate, minpack.lm, purrr, readxl, tidyr
Suggests: knitr, rmarkdown, pkgdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-22 18:30:18 UTC; Arlan
Author: Arlan Araujo Rodrigues [aut, cre], Hilario Cuquetto Mantovani [aut]
Maintainer: Arlan Araujo Rodrigues <araujorodrig@wisc.edu>
Repository: CRAN
Date/Publication: 2026-10-02 10:00:02 UTC

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New package rMDSPTT with initial version 0.1.0
Package: rMDSPTT
Title: Multiple Dependent State Sampling Inspection Plan for Time Truncated Life Test
Version: 0.1.0
Description: Provides functions for designing multiple dependent state sampling inspection plans for time-truncated life tests. The package determines the minimum sample size required to satisfy a specified consumer's risk constraint and evaluates the probability of acceptance under different quality and termination ratios. Users can directly provide failure probabilities, allowing the sampling plan to be applied to different lifetime distributions without requiring distribution-specific functions. Provide operating characteristic analysis, sample size analysis, and graphical comparison with single sampling inspection plans. Aslam et al. (2016) <doi:10.1080/08982112.2015.1068331>; Rao et al. (2020) <doi:10.1080/25742558.2020.1857915>; Balamurali et al. (2017) <doi:10.1080/07474946.2016.1275459>; Saha et al. (2021) <doi:10.1080/21681015.2021.1893843>; Tripathi et al. (2020) <doi:10.1007/s40745-020-00267-z>; Tripathi et al. (2023) <doi:10.1007/s41872-023-00221-x>.
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-22 17:04:49 UTC; Admin
Author: Harsh Tripathi [aut, cre]
Maintainer: Harsh Tripathi <rsearchstat21@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 10:00:13 UTC

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New package famnesia with initial version 0.1.1
Package: famnesia
Title: Anonymising Familias Files
Version: 0.1.1
Description: A 'shiny' application for anonymising files exported from the 'Familias' software for forensic kinship analysis (Egeland et al. (2000) <doi:10.1016/s0379-0738(00)00147-x>). Pedigrees, marker data, allele frequencies and mutation models can be masked or modified, with options for preserving likelihood ratios exactly. The application is built on the 'pedsuite' packages for pedigree analysis.
License: GPL (>= 3)
URL: https://magnusdv.shinyapps.io/famnesia/, https://github.com/magnusdv/famnesia
BugReports: https://github.com/magnusdv/famnesia/issues
Depends: R (>= 4.4)
Imports: DT, bslib (>= 0.11.0), htmltools, pedFamilias (>= 0.2.6), pedmut, pedprobr (>= 1.1.1), pedtools, shiny (>= 1.9.0), shinyjs
Encoding: UTF-8
Language: en-GB
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-20 12:40:02 UTC; magnu
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
Repository: CRAN
Date/Publication: 2026-10-02 09:20:08 UTC

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Wed, 30 Sep 2026

New package svpChange with initial version 0.2.0
Package: svpChange
Title: Smallest Valid Partitioning for Change-Point Detection
Version: 0.2.0
Author: Vincent Runge [aut, cre, cph], Alexandre Combeau [aut], Gaetano Romano [aut], Anica Kostic [ctb]
Maintainer: Vincent Runge <vincent.runge@univ-evry.fr>
Description: Provides methods for detecting multiple change-points and segmenting univariate time series using Smallest Valid Partitioning (SVP). SVP searches for a partition with the smallest number of segments whose segments satisfy a user-defined or built-in validity test. Among partitions with the same number of segments, it minimizes a within-segment sum-of-squared-errors criterion.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/vrunge/svpChange
BugReports: https://github.com/vrunge/svpChange/issues
Imports: Rcpp (>= 1.0.10), stats
Suggests: stepR, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-09-22 14:39:49 UTC; vrunge
Repository: CRAN
Date/Publication: 2026-09-30 13:40:02 UTC

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New package hobbs with initial version 0.4.4
Package: hobbs
Title: High Dimensional Bayesian Omnibus Sampler
Version: 0.4.4
Description: Enables high dimensional statistical modeling using Bayesian inference and provides a probabilistic programming language for high dimensional problems. See Kleinsasser (2026) <doi:10.5281/zenodo.22309216>.
License: GPL-3
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc, C compiler
URL: https://hobbs-dev.github.io/
BugReports: https://github.com/hobbs-dev/hobbs/issues
Suggests: testthat (>= 3.0.0), rjags, rstan
NeedsCompilation: yes
Packaged: 2026-09-22 13:58:28 UTC; mk
Author: Mike Kleinsasser [aut, cre]
Maintainer: Mike Kleinsasser <mjkleinsa@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 13:30:02 UTC

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New package xtifedml with initial version 0.1.4
Package: xtifedml
Title: Double Machine Learning for Static Panel Models with Interactive Fixed Effects
Version: 0.1.4
Date: 2026-09-22
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>
Description: Implements partially linear panel regression (PLPR) models with interactive fixed effects, high-dimensional confounding variables, and an exogenous treatment variable within the double machine learning framework. Estimates the structural parameter (treatment effect) in static panel data models with interactive fixed effects using the approach established in Chen et al. (2026) <doi:10.48550/arXiv.2608.01137>. Builds on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> and 'xtdml' (Polselli, 2025) <doi:10.48550/arXiv.2512.15965>, using the 'mlr3' ecosystem.
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: R6 (>= 2.4.1), data.table (>= 1.12.8), mlr3 (>= 1.3.0), mlr3tuning (>= 1.5.0), mlr3learners (>= 0.13.0), mlr3misc (>= 0.19.0), mvtnorm, utils, clusterGeneration, readstata13, magrittr, dplyr (>= 1.1.0), stats, MLmetrics, checkmate
Suggests: rpart, bbotk (>= 1.8.0), testthat (>= 3.0.0), paradox, mlr3pipelines, ranger, xgboost, glmnet
NeedsCompilation: no
Packaged: 2026-09-22 09:53:10 UTC; annal
Author: Binzhi Chen [aut] , Annalivia Polselli [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-30 12:10:02 UTC

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New package sensorLeak with initial version 0.1.0
Package: sensorLeak
Title: Leakage Detection for Environmental Sensor Data
Version: 0.1.0
Description: Provides tools for identifying potential information leakage and validation risks in machine learning workflows using environmental sensor data. The package includes checks for temporal ordering, shared sensors, spatial proximity, and overlapping temporal windows. The diagnostics are motivated by considerations of spatial and temporal structure in model validation (Roberts et al., 2017) <doi:10.1111/ecog.02881>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/division55/sensorLeak
BugReports: https://github.com/division55/sensorLeak/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 11:02:26 UTC; iamua
Author: Divya Umai Raja [aut, cre, cph], Sanjana Sujil [aut, cph]
Maintainer: Divya Umai Raja <iamuayvid@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 12:10:07 UTC

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New package FARM with initial version 0.1.5.15
Package: FARM
Title: Forward Angular Relevance Measure
Version: 0.1.5.15
Description: The original implementation of the Forward Angular Relevance Measure (FARM). The algorithm relies on a forward alignment approach for compared time series based on the dynamic time warping (DTW) principle. It considers the differences between data point as source in a combined distance metric that is used for series alignment. The algorithm returns a global and a series of local relevance measures relying on correlation coefficients. A normalization of time series is not part of the algorithm but recommended for best results. The FARM method is introduced in: Christen et al. (2023) <doi:10.48550/arXiv.2304.11028>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, stats, utils
NeedsCompilation: no
Packaged: 2026-09-22 09:56:28 UTC; prypjat
Author: Ramon Christen [aut, cre]
Maintainer: Ramon Christen <hiroshima@bluewin.ch>
Repository: CRAN
Date/Publication: 2026-09-30 12:00:02 UTC

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New package estbanr with initial version 0.1.1
Package: estbanr
Title: Brazilian Monthly Banking Statistics by Municipality (ESTBAN)
Version: 0.1.1
Description: Download, read and tidy the ESTBAN (Estatistica Bancaria Mensal por Municipio, Monthly Banking Statistics by Municipality) files published by the Brazilian Central Bank (Banco Central do Brasil) for every bank branch and municipality in Brazil. Each file reports balance-sheet accounts of the COSIF (Plano Contabil das Instituicoes do Sistema Financeiro Nacional, the chart of accounts of the Brazilian financial system) such as credit operations, deposits and savings. Files are fetched from the official site <https://www.bcb.gov.br/estatisticas/estatisticabancariamunicipios> with an idempotent local cache, read from their Latin-1 encoded CSV (comma-separated values) layout into tibbles, optionally filtered by state, and aggregated by municipality. Includes tools to detect and impute institution-month non-reports (an institution present in the file with every account equal to zero), which would otherwise be mistaken for zero balances.
License: MIT + file LICENSE
URL: https://strategicprojects.github.io/estbanr/, https://github.com/StrategicProjects/estbanr
BugReports: https://github.com/StrategicProjects/estbanr/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), dplyr (>= 1.1.0), httr2 (>= 1.0.0), readr (>= 2.1.0), rlang (>= 1.1.0), stats, stringi (>= 1.7.0), tibble (>= 3.2.0), utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 11:51:01 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-09-30 12:40:02 UTC

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New package ecoGLMM with initial version 0.1.3
Package: ecoGLMM
Title: Reproducible Ecological Generalized Linear Mixed Model Pipelines
Version: 0.1.3
Description: Fits and compares generalized linear mixed models for multiple ecological responses and environmental predictors. The package supports additive and temporal-interaction candidate models, AICc model selection, likelihood-ratio tests, coefficient extraction, Nakagawa R-squared, simulation-based diagnostics, figures, and spreadsheet exports. Model selection follows Burnham and Anderson (2002, ISBN:9780387953649); marginal and conditional R-squared follow Nakagawa and Schielzeth (2013) <doi:10.1111/j.2041-210x.2012.00261.x>.
License: MIT + file LICENSE
URL: https://github.com/andre-fcsantos/ecoGLMM
BugReports: https://github.com/andre-fcsantos/ecoGLMM/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: DHARMa, ggeffects, ggplot2, glmmTMB, MuMIn, performance, stats, writexl
Suggests: knitr, readxl, remotes, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 12:54:21 UTC; andre.fcsantos
Author: Andre Felipe Carneiro dos Santos [aut, cre] , Bruna Martins Bezerra [aut] , Barbara Lins Caldas de Moraes [aut]
Maintainer: Andre Felipe Carneiro dos Santos <andre.fcsantos@ufpe.br>
Repository: CRAN
Date/Publication: 2026-09-30 12:40:08 UTC

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New package cagedr with initial version 0.1.0
Package: cagedr
Title: Access Novo CAGED Microdata from the Brazilian Ministry of Labour
Version: 0.1.0
Description: Download and read the public, non-identified microdata of the Novo CAGED (Cadastro Geral de Empregados e Desempregados), the monthly registry of formal employment movements published by the Brazilian Ministry of Labour and Employment through the PDET FTP server <ftp://ftp.mtps.gov.br/pdet/microdados/>. Lists the reference months available on the server, downloads the three monthly files (movements declared on time, declared late, and exclusions) with an idempotent local cache, and reads the national 7z archives as a stream, filtering by state and selecting columns before anything is kept in memory, so that a single state can be extracted without loading the full national file. Also provides the official record layout and a helper to consolidate admissions, separations and net balance by reference month.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: archive (>= 1.1.0), cli (>= 3.6.0), curl (>= 5.0.0), readr (>= 2.1.0), rlang (>= 1.1.0), stringi (>= 1.7.0), tibble (>= 3.2.0)
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), withr
SystemRequirements: libarchive (via the 'archive' package)
VignetteBuilder: knitr
URL: https://github.com/StrategicProjects/cagedr, https://strategicprojects.github.io/cagedr/
BugReports: https://github.com/StrategicProjects/cagedr/issues
NeedsCompilation: no
Packaged: 2026-09-22 12:05:26 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-09-30 12:40:14 UTC

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New package searchlight with initial version 0.1.0
Package: searchlight
Title: Audited Analysis of Police Stop and Search Records
Version: 0.1.0
Description: Acquire and audit public police stop and search archives for England and Wales, retaining provenance and explicit coverage information. Designed for exposure-based ethnic disparity analysis with separately reported sampling and assumption uncertainty. Contains public sector information licensed under the Open Government Licence v3.0.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: CARBayes (>= 6.1.1), cli, commonmark, digest, dplyr (>= 1.1.1), httr2, jsonlite, MASS, readr, rlang, sf, spdep, splines, suncalc, posterior, ggplot2, tidyr, tibble, withr, xml2
URL: https://github.com/BlackThrive/searchlight, https://blackthrive.github.io/searchlight/
BugReports: https://github.com/BlackThrive/searchlight/issues
Suggests: testthat (>= 3.0.0), httptest2, knitr, rmarkdown, lme4, lintr, spelling, vdiffr, zip
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 04:33:08 UTC; musta
Author: Mustapha Wasseja [aut, cre], Sarah Hamed [aut], Souci Frissa [aut], Black Thrive Global [cph, fnd]
Maintainer: Mustapha Wasseja <mustapha.wasseja.mohammed@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 11:40:02 UTC

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New package limpidR with initial version 0.1.0
Package: limpidR
Title: Reproducible Analysis of Freshwater Microplastic Data
Version: 0.1.0
Author: Chanikya Naidu [aut, cre]
Maintainer: Chanikya Naidu <thefisherieschanikyaneeti@gmail.com>
Description: Provides validation, harmonization, descriptive analysis, compositional analysis, transparent risk components, grouped cross-validation, visualization, and predictive modelling tools for freshwater microplastic datasets. The package includes synthetic demonstration data conforming to the LIMPID-India data model and emphasizes explicit units, provenance, percentage closure, non-imputation of missing environmental covariates, and leakage-aware model evaluation.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2
Suggests: knitr, rmarkdown, readxl, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 08:50:13 UTC; chani
Repository: CRAN
Date/Publication: 2026-09-30 11:50:02 UTC

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New package geoaddSAE2 with initial version 0.1.0
Package: geoaddSAE2
Title: Geoadditive Small Area Estimation for Area-Level Model
Version: 0.1.0
Description: Fits area-level geoadditive small area estimation (SAE) models by extending the Fay-Herriot area-level model with linear, nonlinear, and spatial effects. The Fay-Herriot model is described by Fay and Herriot (1979) <doi:10.1080/01621459.1979.10482505>. Geoadditive models combine nonlinear covariate effects and spatial variation as described by Kammann and Wand (2003) <doi:10.1111/1467-9876.00385>, while their application to small area estimation is discussed by Pusponegoro et al. (2019) <doi:10.21108/JDSA.2019.2.15>. Nonlinear covariate effects are represented using penalized splines, while spatial effects are represented using a smooth function of geographic coordinates. Models are estimated using restricted maximum likelihood (REML), and mean squared error (MSE) is estimated using a parametric bootstrap. The package also provides comparisons with the Fay-Herriot and spatial Fay-Herriot (SFH) models.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: mgcv, sae, stats
NeedsCompilation: no
Packaged: 2026-09-22 08:16:08 UTC; alya
Author: Amalyah Rizky Khairunnisa Sutarto [aut, cre], Novi Hidayat Pusponegoro [aut, ths]
Maintainer: Amalyah Rizky Khairunnisa Sutarto <222212489@stis.ac.id>
Repository: CRAN
Date/Publication: 2026-09-30 11:40:09 UTC

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New package admetshiny with initial version 1.0.0
Package: admetshiny
Title: Interactive ADMET and Drug-Likeness Analysis of Small Molecules
Version: 1.0.0
Date: 2026-08-29
Maintainer: Xavier Clemente Garcia Cevallos <xgarcia@unicauca.edu.co>
Description: Provides an interactive Shiny application and a toolbox of R functions for the management, calculation, filtering, visualization and exploratory analysis of molecular descriptors and ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) properties of small molecules. Computes descriptors locally via the Chemistry Development Kit (CDK), and offers drug-likeness filters (Lipinski, Veber, Ghose, Egan, Muegge), the BOILED-Egg model for gastrointestinal absorption and blood-brain barrier permeability, a P-glycoprotein (P-gp, also known as ATP-binding cassette sub-family B member 1, ABCB1) substrate Random Forest classifier, Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP), radar plots and Tanimoto / AGglomerative NESting (AGNES) clustering to support compound prioritization in early-stage drug discovery.
License: MIT + file LICENSE
URL: https://github.com/xavierclementegarcia/admetshiny
BugReports: https://github.com/xavierclementegarcia/admetshiny/issues
Depends: R (>= 3.5.0)
Imports: cluster, dplyr, DT, fingerprint, fmsb, GGally, ggplot2, ggrepel, graphics, grDevices, grid, magrittr, openxlsx, rcdk, rmarkdown, Rtsne, shiny, stats, tools, utils, uwot, viridisLite, webchem
Suggests: knitr, testthat
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Java (>= 8); only required for the optional CDK-based descriptor calculation (rcdk) module.
NeedsCompilation: no
Packaged: 2026-09-22 06:11:21 UTC; XavierPC
Author: Xavier Clemente Garcia Cevallos [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-30 11:30:02 UTC

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New package MIML with initial version 0.1.0
Package: MIML
Title: Machine Learning Imputation, Clustering and Survival Analysis for Longitudinal Proteomic Data
Version: 0.1.0
Description: Imputes missing biomarker measurements in a wide longitudinal serum panel with gradient-boosted decision trees, groups the completed panel by Bayesian consensus clustering, and compares the resulting patient subgroups by Kaplan-Meier, log-rank and Cox analysis. The imputation learner is described in Ke et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree> and the clustering method in Lock and Dunson (2013) <doi:10.1093/bioinformatics/btt425>. Imputed values are conditional-mean predictions, so the procedure is a machine-learning single imputation; the completions carry no between-imputation variance and must not be pooled by Rubin's rules. Two panels from Gene Expression Omnibus accession 'GSE65622' are included, one for each survival endpoint.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lightgbm (>= 3.3.0), data.table, survival, stats, utils
Suggests: BCClong, testthat (>= 3.0.0)
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-09-21 12:50:13 UTC; DELL
Author: Neelesh Kumar [aut, cre], Atanu Bhattacharjee [aut], Gajendra K. Vishwakarma [aut], Tanmoy Majumdar [aut]
Maintainer: Neelesh Kumar <neelesh2302@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 10:10:02 UTC

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New package R4VN with initial version 1.6
Package: R4VN
Title: Health Data Analysis and Publication-Ready Reporting
Version: 1.6
Description: Provides short and consistent commands for data management, descriptive and inferential statistics, epidemiological analyses, regression models, survival and longitudinal analyses, diagnostic accuracy, scale assessment, meta-analysis, machine learning, study design, publication-ready tables, graphics, and reporting. Commands accept an explicit data frame or an active data frame selected with usedf().
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
Depends: R (>= 4.1.0)
Imports: grDevices, graphics, splines, stats, tools, utils, survey
Suggests: arrow, Boruta, bslib (>= 0.7.0), curl, DBI, dbscan, DT, e1071, flextable, forecast, foreign, geepack, ggplot2, glmnet, haven, htmltools, jsonlite, keyring, knitr, lavaan, leaflet, nortest, lme4, MASS, metafor, mgcv, nlme, nnet, officer, openxlsx, pagedown, pkgdown, pmsampsize, pROC, presize, psych, quantreg, ranger, readstata13, readxl, rmarkdown, RMariaDB, ROSE, rpart, rstudioapi, sampling, sandwich, scales, sf, shiny (>= 1.8.0), spdep, statpsych, survival, testthat (>= 3.0.0), TrialSize, tseries, WebPower, webshot2, writexl, xgboost
NeedsCompilation: no
Packaged: 2026-09-21 06:14:15 UTC; thait
Author: Thai Thanh Truc [aut, cre]
Maintainer: Thai Thanh Truc <thaithanhtruc@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:30:07 UTC

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New package presto with initial version 1.1.0
Package: presto
Title: Fast Functions for Differential Expression Using Wilcoxon and AUC
Version: 1.1.0
Description: Scalable implementation of the Wilcoxon rank sum test and the area under the receiver operating characteristic curve (also known as auROC or AUC) statistic. Interfaces to dense and sparse matrices, as well as the genomics analysis frameworks 'Seurat' and 'SingleCellExperiment'.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, data.table, dplyr, methods, tidyr, purrr, tibble, Matrix, rlang, stats, utils
Suggests: knitr, rmarkdown, testthat, Seurat, SingleCellExperiment, SummarizedExperiment, DelayedArray, broom, BiocStyle, DESeq2
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2026-09-20 20:34:12 UTC; ks38
Author: Ilya Korsunsky [aut] , Aparna Nathan [aut], Nghia Millard [aut] , Soumya Raychaudhuri [aut] , Kamil Slowikowski [cre, ctb] , Austin Hartman [ctb]
Maintainer: Kamil Slowikowski <kslowikowski@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:10:02 UTC

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New package pediatric.zcalc with initial version 0.1.1
Package: pediatric.zcalc
Title: Z-Score Calculator for Biomarkers: Childhood to Young Adulthood
Version: 0.1.1
Description: Provides tools to compute individual percentile ranks and z-scores for clinical biomarkers in children, adolescents and young adults, based on age-, sex-, and height-specific reference data from the IDEFICS (Identification and prevention of Dietary and lifestyle-induced health EFfects In Children and infantS) study and the Biomarkers4Pediatrics collaboration. Supports the computation of a composite Metabolic Syndrome (MetS) score and associated monitoring/action levels for health monitoring. For more details see Ahrens et al. (2014) <doi:10.1038/ijo.2014.130>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/bips-hb/pediatric.zcalc
BugReports: https://github.com/bips-hb/pediatric.zcalc/issues
LazyData: true
Depends: R (>= 3.5.0)
Imports: gamlss.dist, pracma
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-21 13:27:56 UTC; maendle
Author: Andreas Maendle [aut, cre], Timm Intemann [aut], Zuelal Bekerecioglu [aut]
Maintainer: Andreas Maendle <maendle@leibniz-bips.de>
Repository: CRAN
Date/Publication: 2026-09-30 09:40:02 UTC

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New package mvPred with initial version 0.1.0
Package: mvPred
Title: Methods for Handling Missing Values in Linear Modeling
Version: 0.1.0
Maintainer: Billy Ouattara <ouattarabilly33@hotmail.com>
Description: Provides user-friendly methods for handling missing data in regression modeling, including available-case linear regression, multiple imputation, random-forest imputation, and the Tower method. Implemented approaches include chained-equation imputation described by van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>, multiple imputation described by Honaker, King and Blackwell (2011) <doi:10.18637/jss.v045.i07>, random-forest imputation described by Stekhoven and Buehlmann (2012) <doi:10.1093/bioinformatics/btr597>, and the Tower method described by Matloff and Mohanty (2023) <https://CRAN.R-project.org/package=toweranNA>.
Depends: R (>= 4.0.0)
Imports: regtools, mice, Amelia, missForest, toweranNA, stats, utils, qeML
License: MIT + file LICENSE
URL: https://github.com/matloff/mvPred
BugReports: https://github.com/matloff/mvPred/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-20 20:17:20 UTC; ouatt
Author: Norman Matloff [aut], Cynthia Mascarenhas [aut], Billy Ouattara [aut, cre], Alekya Veluri [aut]
Repository: CRAN
Date/Publication: 2026-09-30 09:10:09 UTC

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New package mizu with initial version 0.0.1
Package: mizu
Title: Single-Producer Single-Consumer Channels
Version: 0.0.1
Description: Provides a single-producer single-consumer channel with bounded capacity, optional timeouts on receives, and sentinel return values for full, timeout, and closed states. The ring buffer is implemented in C: sends and receives are constant-time operations, values are delivered in first-in first-out order, and a closed channel drains its buffered values before reporting the closed state. The transport is in-process: both ends of a channel live in the calling R process, which suits the channel to prototyping producer and consumer designs and to testing channel-based logic.
License: MIT + file LICENSE
URL: https://github.com/shikokuchuo/mizu-r
BugReports: https://github.com/shikokuchuo/mizu-r/issues
Depends: R (>= 4.1)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-09-21 10:22:47 UTC; shikokuchuo
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>
Repository: CRAN
Date/Publication: 2026-09-30 09:40:07 UTC

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New package latexr with initial version 0.3.0
Package: latexr
Title: Translate 'LaTeX' Formulas to R Code
Version: 0.3.0
Description: Implements a minimal 'LaTeX' parser that translates mathematical formulas into R code strings. Supports arithmetic operators, implicit multiplication, fractions, Greek letters, common mathematical functions, and statistical notation for means, medians, and rolling sums. Input from visual formula editors such as 'MathQuill' is normalized automatically, and the resulting string can be evaluated with parse() and eval(), or converted into an R function with latex2fun(). The implementation follows the tree-walking interpreter design of Nystrom (2021) <https://craftinginterpreters.com/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: R6 (>= 2.4.0), purrr (>= 0.3.0)
Suggests: testthat
URL: https://github.com/rodrigoesborges/latexr
BugReports: https://github.com/rodrigoesborges/latexr/issues
NeedsCompilation: no
Packaged: 2026-09-21 11:43:39 UTC; rodrigo
Author: Rodrigo Borges [aut, cre], Tomas Capretto [aut, ctb]
Maintainer: Rodrigo Borges <rodrigo@borges.net.br>
Repository: CRAN
Date/Publication: 2026-09-30 09:40:13 UTC

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New package HanNLP with initial version 0.1.1
Package: HanNLP
Title: Korean Morphological Analysis and Hangul Utilities
Version: 0.1.1
Maintainer: Jonghyeon Park <jng.hyn.park@gmail.com>
Description: Provides Korean morphological analysis, part-of-speech (POS) tagging, noun extraction, Hangul (Korean script) conversion utilities, concordance search, mutual information statistics, and user dictionary management tools for Korean text research. The morphological analyzer backend is derived from the 'KoNLP' package and the 'HanNanum' analyzer, and is reimplemented in native C so that no Java runtime is required. Bundled dictionary and statistical resources allow analysis to work out of the box, and optional dictionaries can be loaded at runtime from the 'Sejong' and 'NIADic' packages when they are installed and loaded.
License: GPL-3
Copyright: See inst/COPYRIGHTS for bundled third-party code and data.
URL: https://github.com/ShapeLayer/HanNLP
BugReports: https://github.com/ShapeLayer/HanNLP/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: utils
NeedsCompilation: yes
Packaged: 2026-09-21 09:22:36 UTC; runner
Author: Jonghyeon Park [aut, cre], Heewon Jeon [aut], Taekyung Kim [ctb], Semantic Web Research Center, KAIST [cph]
Repository: CRAN
Date/Publication: 2026-09-30 09:40:19 UTC

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New package fastsae with initial version 0.1.0
Package: fastsae
Title: Fast Implementation of Small Area Estimation Methods
Version: 0.1.0
Description: Provides high-performance implementations of Small Area Estimation (SAE) methods leveraging C++ ('Rcpp', 'RcppArmadillo') and 'OpenMP' multi-threading. Supports standard area-level Fay-Herriot models (Fay and Herriot, 1979 <doi:10.1080/01621459.1979.10482505>), Spatial Fay-Herriot models (Pratesi and Salvati, 2008 <doi:10.1002/env.861>), Spatio-Temporal Fay-Herriot models (Marhuenda et al., 2013 <doi:10.1016/j.csda.2013.01.016>), and unit-level Battese-Harter-Fuller models (Battese et al., 1988 <doi:10.1080/01621459.1988.10478561>). Features include empirical best linear unbiased prediction (EBLUP), analytical and bootstrap Mean Squared Error (MSE) estimation, automatic handling of unsampled domains, and modern S3 diagnostic methods.
License: GPL (>= 3)
URL: https://ridsonap.github.io/fastsae/, https://github.com/ridsonap/fastsae
BugReports: https://github.com/ridsonap/fastsae/issues
Encoding: UTF-8
LazyData: true
Imports: cli, ggplot2, lme4, methods, Rcpp, rlang, stats, utils
Suggests: doParallel, dplyr, emdi, foreach, MASS, parallel, sae, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Packaged: 2026-09-21 13:12:35 UTC; macbook
Author: Ridson Al Farizal P [aut, cre, cph] , Azka Ubaidillah [aut]
Maintainer: Ridson Al Farizal P <alfrzlp@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:50:02 UTC

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New package cncleanr with initial version 0.2.5
Package: cncleanr
Title: Parse Compact Numbers in Chinese Data
Version: 0.2.5
Description: Parses compact numeric values, qualified quantities, and ranges commonly found in Chinese tables and spreadsheets. It handles Chinese magnitude suffixes, currencies, percentages, full-width characters, financial negatives, and configurable missing-value markers while reporting values that cannot be parsed safely.
License: MIT + file LICENSE
URL: https://github.com/Jorungandr/cncleanr
BugReports: https://github.com/Jorungandr/cncleanr/issues
Encoding: UTF-8
Language: en-US
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-21 04:37:14 UTC; ASUS
Author: Haotian Liu [aut, cre, cph]
Maintainer: Haotian Liu <wyvern06@163.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:30:02 UTC

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New package classbound with initial version 1.0.0
Package: classbound
Title: Visualization for Classification Decision Boundaries
Version: 1.0.0
Description: Exploring, visualizing, and comparing classification decision boundaries. Provides a unified interface for fitting classifiers and rendering 2D decision boundary plots, with support for 2D slice visualization (fixing non-plotted dimensions at reference values) and projection-based visualization for high-dimensional data (including Principal Component Analysis (PCA) and tour projections from the 'tourr' package). Supports native 'R' classifiers, 'tidymodels' workflows, and custom user-supplied models via a flexible adapter system. Includes an interactive 'Shiny' application ('explorapp') for visual exploration, data simulation, drawing, model comparison, probability surfaces, and reproducible exports.
License: GPL (>= 2)
URL: https://github.com/natydasilva/classbound, https://natydasilva.github.io/classbound/
LazyData: yes
Depends: R (>= 4.3.0)
Imports: class, ggplot2, rlang, ggnewscale, shiny, DT, RColorBrewer
Suggests: tidymodels, workflowsets, workflows, parsnip, tourr, rpart, roxygen2 (>= 7.3.0), PPtreeViz, PPtreeExt, ppforest2, randomForest, testthat (>= 3.0.0), knitr, rmarkdown, palmerpenguins, e1071, MixSim, MASS, jsonlite
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-20 18:35:46 UTC; Manihar
Author: Vaibhav Manihar [aut, cre], Natalia da Silva [aut] , Ignacio Alvarez-Castro [aut]
Maintainer: Vaibhav Manihar <vaibhav.manihar@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:10:15 UTC

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New package ACRER with initial version 1.0.1
Package: ACRER
Title: Accessibility for Recreation in R
Version: 1.0.1
Date: 2026-09-21
Description: Recreation model that simulates household types, group types, expected visiting duration, and total visits from city zip codes to surrounding destination areas. The methodology is based on the accessibility model described in Bervaes et al. (1996) "Een model voor het gebruik van de groene ruimte in stadslandschappen (Fase I)" <https://www.wur.nl/en/library>, with optimization procedures based on Goldfarb and Idnani (1983) <doi:10.1007/BF02591962> and Vanderbei et al. (1986) <doi:10.1007/BF01840454>.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: DBI, data.table, dplyr, knitr, pivottabler, magrittr, quadprog, reshape2, RSQLite, sf, sqldf, tibble, pracma
Suggests: testthat (>= 3.0.0), rmarkdown, curl, DT, mapview, WriteXLS, flextable, ggmap, htmltools, htmlwidgets, kableExtra, openxlsx, pander, rstudioapi, svDialogs
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-21 13:39:55 UTC; georgiosmartakis
Author: Georgios Martakis [aut, cre], Jan Bervaes [ctb] , Bert van der Werf [ctb]
Maintainer: Georgios Martakis <georgios.martakis@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:50:09 UTC

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Tue, 29 Sep 2026

New package transfRgov with initial version 0.1.1
Package: transfRgov
Title: Acquisition and Reading of Brazilian Federal Government Fund Transfers
Version: 0.1.1
Description: Downloads, reads and organizes data on federal fund transfers to Brazilian municipalities. Data are retrieved from the TransfereGov "Fundo a Fundo" API, from the Portal da Transparência open data service and from the Tesouro Transparente CKAN catalogue. The package offers one reader per API endpoint, helpers that map SIAFI municipality codes to IBGE codes, and routines that fetch the monthly transfer archives and the tax waiver records published as open data.
License: MIT + file LICENSE
URL: https://github.com/DistintiveLab/transfRgov
BugReports: https://github.com/DistintiveLab/transfRgov/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: httr, janitor, jsonlite, readr, utils
Suggests: mockery, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-20 04:59:23 UTC; rodrigo
Author: Rodrigo Borges [aut, cre]
Maintainer: Rodrigo Borges <rodrigo@borges.net.br>
Repository: CRAN
Date/Publication: 2026-09-29 15:40:02 UTC

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New package summary2joint with initial version 0.1.0
Package: summary2joint
Title: Joint Distribution Estimation from Marginal Study Summaries
Version: 0.1.0
Description: Estimates latent Gaussian joint distributions for normal continuous, binary, and ordinal variables using marginal summaries from independent studies of a common population. Fits a pairwise Gaussian working criterion using exact summary moments, with study-level sandwich uncertainty. Supports prespecified independent groups, joint event probabilities, and synthetic patient generation. Identification requires repeated joint reporting of variable pairs; heterogeneous populations, rare categories, and small study collections require caution.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, mvtnorm, numDeriv, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-20 03:13:52 UTC; xzhang
Author: Xuekui Zhang [aut, cre]
Maintainer: Xuekui Zhang <ubcxzhang@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 15:30:02 UTC

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New package countryscales with initial version 0.3.0
Package: countryscales
Title: Country Scales
Version: 0.3.0
Description: Format numbers, percentages and currencies, and label 'ggplot2' axes, using country- or locale-specific conventions such as the thousands separator, decimal mark, currency symbol placement, and sign placement. Locale data is sourced from the Unicode Common Locale Data Repository (CLDR, <https://cldr.unicode.org>) via the 'i18n' package, covering several hundred locales in addition to dedicated helpers for Germany, Switzerland and the United States.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2 (>= 3.5.0), plyr, rlang, scales, i18n
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/trekonom/countryscales, https://trekonom.github.io/countryscales/
BugReports: https://github.com/trekonom/countryscales/issues
Suggests: covr, knitr, ragg, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-20 07:38:02 UTC; stefan
Author: Stefan Moog [aut, cre], scales authors [aut] , Posit, PBC [cph]
Maintainer: Stefan Moog <moogs@gmx.de>
Repository: CRAN
Date/Publication: 2026-09-29 15:40:09 UTC

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New package spscsfa with initial version 0.1.0
Package: spscsfa
Title: Semiparametric Smooth-Coefficient Stochastic Frontier Analysis
Version: 0.1.0
Maintainer: Kai Sun <ksun1@shu.edu.cn>
Description: Provides semiparametric smooth-coefficient stochastic frontier analysis following Sun and Kumbhakar (2013) <doi:10.1016/j.econlet.2013.05.001> where the coefficients of the parametric part vary smoothly with a set of nonparametric variables. Inefficiency term is allowed to depend on a set of determinants through heteroskedasticity. Smooth coefficients are estimated using nonparametric regression and the remaining frontier parameters are estimated by maximum likelihood. Technical efficiency and inefficiency are computed using the Battese and Coelli (1988) <doi:10.1016/0304-4076(88)90053-X> and Jondrow et al. (1982) <doi:10.1016/0304-4076(82)90004-5> methods, respectively. Confidence intervals for technical efficiency are computed using the approach of Horrace and Schmidt (1996) <doi:10.1007/BF00157044>.
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: Formula, np, stats
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-19 07:45:12 UTC; Administrator
Author: Kai Sun [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-29 14:20:02 UTC

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New package rbiogeme with initial version 0.1.2
Package: rbiogeme
Title: Interface to 'Biogeme'
Version: 0.1.2
Author: Michel Bierlaire [aut, cre]
Maintainer: Michel Bierlaire <michel.bierlaire@epfl.ch>
Description: Uses the 'Python' implementation of 'Biogeme' as the numerical backend for specifying and estimating discrete-choice models in R. The default native requirement is 'biogeme==3.3.5'.
Depends: R (>= 4.3.0)
Imports: reticulate (>= 1.41.0), stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
SystemRequirements: Python (>= 3.12), Biogeme (== 3.3.5)
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/michelbierlaire/rbiogeme
BugReports: https://github.com/michelbierlaire/rbiogeme/issues
Date: 2026-09-02
NeedsCompilation: no
Packaged: 2026-09-19 09:20:39 UTC; bierlair
Repository: CRAN
Date/Publication: 2026-09-29 14:20:07 UTC

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New package qpmR with initial version 1.1.0
Package: qpmR
Title: Quarterly Projection Models for Monetary Policy Analysis
Version: 1.1.0
Description: An end-to-end implementation of the semi-structural quarterly projection models used in central-bank forecasting and policy analysis systems: model declaration with model-consistent expectations, a generalized Schur solver with Blanchard-Kahn diagnostics following Klein (2000) <doi:10.1016/S0165-1889(99)00045-7>, Kalman filtering and smoothing for latent states such as the output gap and the neutral rate, historical shock decompositions, conditional forecasts that distinguish announced from unanticipated policy paths, an auditable judgment ledger, forecast rounds with revision decompositions, Bayesian estimation with identification diagnostics following Iskrev (2010) <doi:10.1016/j.jmoneco.2009.12.007>, and reporting. The canonical small open economy model of Berg, Karam and Laxton (2006) <doi:10.5089/9781451863413.001> ships as a calibrated template, with extension blocks for disaggregated food inflation and managed exchange rates.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.1)
Imports: Rcpp, QZ, stats, graphics, grDevices, tools, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: quarto, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://mustapha-wasseja.github.io/qpmR/, https://github.com/Mustapha-Wasseja/qpmR
BugReports: https://github.com/Mustapha-Wasseja/qpmR/issues
NeedsCompilation: yes
Packaged: 2026-09-19 07:14:25 UTC; musta
Author: Mustapha Mohammed [aut, cre]
Maintainer: Mustapha Mohammed <muswaseja@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 14:10:02 UTC

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New package fireData with initial version 2.0.2
Package: fireData
Title: Connect to 'Google Firebase'
Version: 2.0.2
Description: Provides an interface to 'Google Firebase' services <https://firebase.google.com/>, including 'Firebase Realtime Database', 'Cloud Firestore', 'Firebase Authentication', and 'Cloud Storage for Firebase'. Supports interactive use and 'shiny' applications as well as automated server-side workflows. Data frames and objects can be stored and retrieved, users can be authenticated, and files can be managed through the services' application programming interfaces.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
URL: https://github.com/Kohze/fireData
BugReports: https://github.com/Kohze/fireData/issues
Encoding: UTF-8
Imports: httr (>= 1.4.0), jsonlite (>= 1.8.0), curl (>= 5.0.0), R6 (>= 2.5.0), openssl (>= 2.0.0), yaml (>= 2.3.0)
Suggests: testthat (>= 3.2.0), shiny (>= 1.7.0), shinyjs, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-19 17:49:41 UTC; robin
Author: Robin Gounder [aut, cre] , Paul Spende [aut], Kevin McGinley [ctb]
Maintainer: Robin Gounder <robin@gounder.com>
Repository: CRAN
Date/Publication: 2026-09-29 14:20:24 UTC

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New package debiasedInference with initial version 0.1.0
Package: debiasedInference
Title: Bootstrap Inference with Debiased Nonparametric Estimators
Version: 0.1.0
Description: Implements debiased kernel density and local-linear regression estimators with empirical-bootstrap simultaneous confidence bands, as proposed by Cheng and Chen (2019) <doi:10.1214/19-EJS1575>. Also provides bandwidth selectors and grid-based confidence sets for density level sets and inverse regression.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/mathcg/debiased-inference, https://doi.org/10.1214/19-EJS1575
BugReports: https://github.com/mathcg/debiased-inference/issues
NeedsCompilation: no
Packaged: 2026-09-19 05:37:24 UTC; runner
Author: Gang Cheng [aut, cre], Yen-Chi Chen [aut]
Maintainer: Gang Cheng <mathchenggang@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 14:10:10 UTC

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New package autoslider.trade with initial version 0.0.1
Package: autoslider.trade
Title: Slide Automation for Trading Tables, Listings and Figures
Version: 0.0.1
Description: A downstream package of 'autoslider.core' that produces tables, listings and figures for finance trading, in the same style as 'autoslider'. Where 'autoslider.core' automates clinical study outputs, this package automates trading outputs from price and trade data: performance tables, equity curves and trade listings.
License: Apache License (>= 2.0)
Depends: R (>= 4.1.0)
Imports: assertthat, autoslider.core, cowplot, formatters, ggplot2, rlistings, rtables, stats
Suggests: roxygen2 (>= 7.0.0), testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-19 09:06:58 UTC; joezhu-hp
Author: Joe Zhu [aut, cre]
Maintainer: Joe Zhu <sha.joe.zhu@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 14:20:33 UTC

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New package accmv with initial version 0.1.1
Package: accmv
Title: Inference with Available Complete-Case Missing Values
Version: 0.1.1
Description: Implements inverse probability weighted, regression adjustment, and multiply robust estimators under the available complete-case missing value assumption of Cheng, Chen, Smith, and Zhao (2022) <doi:10.48550/arXiv.2207.02289>. Supports one or two primary variables, exponential-tilt sensitivity analysis, regression weights, and nonparametric bootstrap confidence intervals.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/mathcg/ACCMV, https://arxiv.org/abs/2207.02289
BugReports: https://github.com/mathcg/ACCMV/issues
NeedsCompilation: no
Packaged: 2026-09-19 17:12:32 UTC; runner
Author: Gang Cheng [aut, cre], Yen-Chi Chen [aut], Maureen A. Smith [aut], Ying-Qi Zhao [aut]
Maintainer: Gang Cheng <mathchenggang@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 14:20:39 UTC

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New package WISP.data with initial version 1.0.0
Package: WISP.data
Title: Management and Analysis of WISPstation Hyperspectral Data
Version: 1.0.0
Description: Automate the acquisition, quality control, analysis, and visualization of spectral data collected by the 'WISPstation' fixed spectroradiometer.
License: GPL (>= 3)
URL: https://github.com/oggioniale/WISP.data, https://oggioniale.github.io/WISP.data/
BugReports: https://github.com/oggioniale/WISP.data/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, markdown, testthat (>= 3.0.0), httptest2, curl
Imports: dplyr, ggplot2, httr2, lifecycle, lubridate, plotly, purrr, readr, rlang, shiny, shinyjs, stats, stringr, tibble, tidyr, tidyselect, units, utils, viridis
NeedsCompilation: no
Packaged: 2026-09-18 13:35:50 UTC; nicol
Author: Alessandro Oggioni [aut, cre, fnd] , Nicola Ghirardi [aut]
Maintainer: Alessandro Oggioni <alessandro.oggioni@cnr.it>
Repository: CRAN
Date/Publication: 2026-09-29 13:30:32 UTC

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New package uSDT with initial version 0.1.0
Package: uSDT
Title: Hierarchical Signal Detection Theory Models for Unconscious Processing
Version: 0.1.0
Description: Fits hierarchical signal detection theory (SDT) models to paired direct and indirect measures, the design used to test for unconscious processing. Continuous indirect measures (typically response times) are dichotomized with the within-subject median split of Meyen et al. (2022) <doi:10.1037/xge0001065> so that both tasks are placed on a common sensitivity scale. The package estimates a binomial probit mixed model in which the two sensitivities are correlated random effects, and tests the three hypotheses of interest: the group-level difference between sensitivities, their latent correlation, and the latent regression of the indirect on the direct measure, whose intercept is the test for unconscious processing. Frequentist estimation uses 'lme4'.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1)
Imports: stats, utils, lme4, ggplot2, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/RicardoReySaez/uSDT, https://ricardoreysaez.github.io/uSDT/
BugReports: https://github.com/RicardoReySaez/uSDT/issues
NeedsCompilation: no
Packaged: 2026-09-18 17:31:16 UTC; 34653
Author: Ricardo Rey-Saez [aut, cre] , Francisco Garre-Frutos [aut] , Alicia Franco-Martinez [aut] , Miguel Vadillo [aut]
Maintainer: Ricardo Rey-Saez <ricardoreysaez95@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 13:40:02 UTC

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New package ssPilot with initial version 1.0.0
Package: ssPilot
Title: Sample Size Calculation for External Pilot Studies for a Continuous Endpoint
Version: 1.0.0
Description: An implementation of sample size calculations for external pilot studies that minimize the overall trial sample size for the external pilot and main trial for a continuous endpoint as described in Whitehead et al. (2016) <doi:10.1177/0962280215588241>.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/joeldadiboe-rgb/ssPilot
BugReports: https://github.com/joeldadiboe-rgb/ssPilot/issues
Imports: ggplot2, rlang
Suggests: quarto, testthat (>= 3.0.0)
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-09-18 14:28:08 UTC; joeld
Author: Joel Dadiboe [aut, cre, cph], Marcio Diniz [aut, rev, cph]
Maintainer: Joel Dadiboe <joeldadiboe@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 13:30:02 UTC

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New package scFlex with initial version 0.1.0
Package: scFlex
Title: Flexible Conversion Between Single-Cell Data Objects
Version: 0.1.0
Description: Provides conversion among 'Seurat', 'SingleCellExperiment', 'AnnData', and 'Loom' single-cell data representations while preserving expression matrices, cell and feature metadata, and dimensionality reductions when supported by the target format. The package performs alignment and validity checks during conversion and reports unsupported or unavailable components rather than silently reconstructing them.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: Matrix, methods, reticulate (>= 1.41.0), SeuratObject
Suggests: hdf5r, Seurat, SingleCellExperiment, SummarizedExperiment, S4Vectors, testthat (>= 3.0.0)
URL: https://github.com/mohamednhassan/scFlex, https://mohamednhassan.github.io/scFlex/
BugReports: https://github.com/mohamednhassan/scFlex/issues
NeedsCompilation: no
Packaged: 2026-09-18 14:21:27 UTC; mhassan
Author: Mohamed N. Hassan [aut, cre]
Maintainer: Mohamed N. Hassan <m.nhassan@hotmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 13:30:07 UTC

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New package rReGSPTT with initial version 0.1.0
Package: rReGSPTT
Title: Repetitive Group Acceptance Sampling Inspection Plans for Time Truncated Life Test
Version: 0.1.0
Description: Designing repetitive group acceptance sampling inspection plans for time-truncated life tests. The package uses a distribution-free formulation in which the user supplies the failure probability. The functions compute operating characteristic probabilities and average sample numbers subject to a consumer's risk constraint. The package also provides graphical and comparative tools for comparing repetitive group, group and single sampling inspection plans. Sherman (1965) <doi:10.2307/1266124>; Aslam and Jun (2013) <doi:10.1007/s00170-013-4747-x>. Saha et al. (2025) <doi:10.1007/s41872-025-00305-w>; Tripathi et al. (2020) <doi:10.1080/02664763.2020.1759031>; Tripathi and Aslam (2024) <doi:10.1285/i20705948v17n3p636>; Tripathi et al. (2022) <doi:10.1007/s40745-020-00267-z>; Saha et al. (2021) <doi:10.1080/21681015.2021.1893843>; Tripathi et al. (2023) <doi:10.1007/s41872-023-00221-x>.
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-18 19:46:00 UTC; Admin
Author: Harsh Tripathi [aut, cre], Mahendra Saha [aut]
Maintainer: Harsh Tripathi <rsearchstat21@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 13:40:14 UTC

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New package raisr with initial version 0.1.0
Package: raisr
Title: Access 'RAIS' Microdata from the Brazilian Ministry of Labour
Version: 0.1.0
Description: Download and read the public, non-identified microdata of the 'RAIS' (Relação Anual de Informações Sociais), the annual census of formal employment relationships and establishments published by the Brazilian Ministry of Labour and Employment through the 'PDET' FTP server <ftp://ftp.mtps.gov.br/pdet/microdados/RAIS/>. Lists the years and archives available on the server, resolves which regional or state archive holds a given state, downloads it with an idempotent local cache, and reads the '7z' archives as a stream, filtering by state and selecting columns before anything is kept in memory, so that a single state can be extracted from a regional file of tens of millions of records. Handles the two header generations of the files (up to the 'RAIS' 2022 and from the 'RAIS' 2023 onwards) with the same normalized column names, provides the official record layout and a helper to consolidate the employment stock, admissions, separations and December payroll.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: archive (>= 1.1.0), cli (>= 3.6.0), curl (>= 5.0.0), readr (>= 2.1.0), rlang (>= 1.1.0), stringi (>= 1.7.0), tibble (>= 3.2.0)
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), withr
SystemRequirements: libarchive (via the 'archive' package)
VignetteBuilder: knitr
URL: https://github.com/StrategicProjects/raisr, https://strategicprojects.github.io/raisr/
BugReports: https://github.com/StrategicProjects/raisr/issues
NeedsCompilation: no
Packaged: 2026-09-18 15:52:35 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-09-29 13:40:08 UTC

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New package lwbgt with initial version 0.4.1
Package: lwbgt
Title: Reference-Compatible Outdoor Wet Bulb Globe Temperature
Version: 0.4.1
Description: Computes outdoor wet bulb globe temperature using the reference-compatible Liljegren numerical model described by Liljegren et al. (2008) <doi:10.1080/15459620802310770>. Provides dependency-free, vectorized access to the native calculation with explicit input units, per-row validation, and deterministic failure reporting.
License: Apache License (== 2.0)
Copyright: See file inst/COPYRIGHTS.
URL: https://github.com/zyf0717/lwbgt, https://zyf0717.r-universe.dev/lwbgt
BugReports: https://github.com/zyf0717/lwbgt/issues
Depends: R (>= 4.3.0)
SystemRequirements: USE_C90
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-09-19 01:27:30 UTC; yifei
Author: Yifei Zheng [aut, cre, cph] , James C. Liljegren [ctb], Nels Larson [ctb], UChicago Argonne, LLC [cph]
Maintainer: Yifei Zheng <zyf0717@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 14:00:11 UTC

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New package ivue with initial version 0.1.0
Package: ivue
Title: Interactive 3D Visualization of Data and Graphs
Version: 0.1.0
Description: Creates interactive three-dimensional point clouds and embedded weighted graphs with numerical or categorical annotations. Provides reusable continuous and categorical color scales, matching legends, highlighting, and geometric edge, path, and label layers. Supports multiple weighted-graph formats and optional layouts through 'igraph', with explicit distance or strength weight semantics. Renders browser widgets using 'rgl' without requiring a native graphics window. Plays recorded coordinate frames with interactive controls and exports orthographic graph animations to GIF.
License: GPL (>= 3)
URL: https://pgajer.github.io/ivue/, https://github.com/pgajer/ivue
BugReports: https://github.com/pgajer/ivue/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: htmlwidgets, htmltools, grDevices, graphics, stats, utils, methods
Suggests: grip, rgl, magick, shiny, geometry, igraph, Matrix, callr, pkgload, testthat (>= 3.1.7), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-18 18:05:06 UTC; pgajer
Author: Pawel Gajer [aut, cre]
Maintainer: Pawel Gajer <pgajer@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-29 13:40:19 UTC

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New package CrossDomainAdjust with initial version 0.1.1
Package: CrossDomainAdjust
Title: Lambda-Controlled Cross-Domain Feature Adjustment
Version: 0.1.1
Description: Provides cross-domain feature adjustment methods for biological and other tabular data. Domain labels define group centroids, and singular value decomposition of their offsets from a common anchor estimates a domain-shift subspace. An orthogonal projection removes a user-controlled fraction of each sample's component in that subspace. A correction strength of zero preserves the input; a strength of one removes the entire learned subspace component. Intermediate values provide partial correction. The fitted transformation can be applied to new samples without refitting.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-09-18 14:56:35 UTC; weika
Author: Weikaixin Kong [aut, cre]
Maintainer: Weikaixin Kong <weikaixin.kong@aalto.fi>
Repository: CRAN
Date/Publication: 2026-09-29 13:30:38 UTC

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New package clis with initial version 0.3.6
Package: clis
Title: Conformal Local Influence Screening for Bounded-Response Regression
Version: 0.3.6
Description: Provides fast, statistically calibrated influence diagnostics for zero-or-one inflated beta (BIc) regression models with variable dispersion. The core idea is to use the conformal normal curvature of Poon and Poon (1999) <doi:10.1111/1467-9868.00162> as a non-conformity score within a split-conformal testing procedure, yielding per-observation conformal p-values whose Benjamini-Hochberg adjustment controls the false discovery rate at a user-specified level (Bates and others, 2023) <doi:10.1214/22-AOS2244>. Unlike classical local influence diagnostics, which rely on visual inspection of index plots and do not scale beyond a few hundred observations, 'clis' provides a finite-sample error guarantee and runs in linear time per observation after a single model fit. Methods for four perturbation schemes, block decomposition of influence into the inflation-probability and conditional-mean/precision components, penalised additive (semiparametric) submodels, and a full suite of diag [...truncated...]
License: GPL-3
URL: https://github.com/Raydonal/clis, https://raydonal.github.io/clis/
BugReports: https://github.com/Raydonal/clis/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: gamlss (>= 5.4.0), gamlss.dist (>= 6.0.0), stats, graphics, grDevices, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, betareg, gamlss.data
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-19 00:32:12 UTC; raydonal
Author: Raydonal Ospina [aut, cre]
Maintainer: Raydonal Ospina <raydonal@de.ufpe.br>
Repository: CRAN
Date/Publication: 2026-09-29 14:00:17 UTC

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New package bedrock with initial version 0.1.9
Package: bedrock
Title: Base Functions for the 'DescToolsX' Ecosystem
Version: 0.1.9
Description: Provides the low level utilities on which the 'DescToolsX' ecosystem is built. Covered are data manipulation and reshaping, predicates for data inspection and validation, vector and string operations, handling of labels and metadata, and routines from number theory and combinatorics. All functions share a common naming and argument scheme and are implemented as S3 generics wherever several input types are meaningful, with performance critical parts written in C++. The package is self contained and can be used on its own, independently of the higher level packages of the suite.
Depends: R (>= 4.4.0)
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, abind, expm, tools, data.table, readxl, httr, cli
Suggests: testthat (>= 3.0.0), haven, R.rsp, readr, tibble
VignetteBuilder: R.rsp
LazyData: true
URL: https://andrisignorell.github.io/bedrock/, https://github.com/AndriSignorell/bedrock/
BugReports: https://github.com/AndriSignorell/bedrock/issues
NeedsCompilation: yes
Packaged: 2026-09-18 15:35:26 UTC; andri
Author: Andri Signorell [aut, cre] , R Core Team [ctb], Hans W. Borchers [ctb], Daniel Chessel [ctb], Nicholas Cooper [ctb], Stephane Dray [ctb], Martin Elff [ctb], Michael Friendly [ctb], Friedrich Leisch [ctb], Thomas Lumley [ctb], Martin Maechler [ctb], N [...truncated...]
Maintainer: Andri Signorell <andri@signorell.net>
Repository: CRAN
Date/Publication: 2026-09-29 13:30:19 UTC

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Mon, 28 Sep 2026

New package tera with initial version 0.1.0
Package: tera
Title: Generate Text and Documents with the Tera Templating Engine
Version: 0.1.0
Description: The 'tera' package uses 'extendr' to provide access to Vincent Prouillet's 'Tera' templating engine in Rust. Users mainly interact with a Tera R6 object, which serves as a template library with encapsulated methods for rendering templates with a given context. Template syntax supports additional logic, including built-in filters, tests, and functions, as well as loops, conditions, and inheritance. Documentation for Tera's templating syntax can be found at <https://keats.github.io/tera/>.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc
Depends: R (>= 4.2)
Imports: cli, R6, rlang (>= 1.1.0), yyjsonr
Suggests: knitr, quarto, rmarkdown, testthat (>= 3.0.0), withr
URL: https://github.com/kbvernon/tera-r, https://kbvernon.github.io/tera-r/
VignetteBuilder: quarto, knitr
NeedsCompilation: yes
Packaged: 2026-09-14 14:39:10 UTC; kenne
Author: Kenneth Blake Vernon [aut, cre, cph]
Maintainer: Kenneth Blake Vernon <kenneth.b.vernon@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-28 14:10:02 UTC

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New package SyncERdata with initial version 1.0.0
Package: SyncERdata
Title: Example Datasets for 'SyncER'
Version: 1.0.0
Description: Bundled example datasets used by the 'SyncER' package vignette and test suite: synthetic radiocarbon-dated event records for five cores and the corresponding completed 'rbacon'/'rplum' age-depth model output (raw, synchronized, and synchronized-without-14C variants). These data let 'SyncER' demonstrate and test its full workflow reproducibly, without requiring users to install 'rbacon'/'rplum' or re-run Bayesian age-depth modelling. This package contains the synthetic data from Wils & Ramisch (2026) <doi:10.1038/s41598-026-67943-7>.
License: GPL (>= 3)
URL: https://github.com/katleenwils/SyncERdata
BugReports: https://github.com/katleenwils/SyncERdata/issues
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-09-15 20:50:06 UTC; wilska
Author: Katleen Wils [aut, cre]
Maintainer: Katleen Wils <katleen.wils@ugent.be>
Repository: CRAN
Date/Publication: 2026-09-28 14:10:08 UTC

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New package qio with initial version 0.1.0
Package: qio
Title: Read and Write 'Apache Parquet' Files
Version: 0.1.0
Description: Read and write 'Apache Parquet' files. Whole files are read with a single call, and larger ones can be opened to inspect their schema and read selected columns, row groups, or batches. Built on the bundled C library 'carquet', with no required R package dependencies.
URL: https://pedrobtz.github.io/qio/, https://github.com/pedrobtz/qio
BugReports: https://github.com/pedrobtz/qio/issues
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
Encoding: UTF-8
SystemRequirements: GNU make, zlib
Depends: R (>= 3.5.0)
Imports: utils
Suggests: bit64, dplyr, hms, testthat (>= 3.0.0), withr
NeedsCompilation: yes
Packaged: 2026-09-03 12:13:12 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Johan HG Natter [aut, cph] ), vctrs authors [ctb, cph] helper )
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-28 13:40:02 UTC

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New package cidian with initial version 0.1.0
Package: cidian
Title: Read and Parse Chinese Input-Method Dictionaries
Version: 0.1.0
Description: Read Chinese input-method dictionary files into a common 'R' data model. The 'Rust' backend supports Sogou, QQ Pinyin, and Baidu dictionary formats and preserves source metadata, code components, and weights. This is useful for building a custom Chinese word segmentation dictionary.
License: MIT + file LICENSE
URL: https://github.com/Yousa-Mirage/r-cidian
BugReports: https://github.com/Yousa-Mirage/r-cidian/issues
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.85.0, xz
Depends: R (>= 4.2)
Imports: cli, rlang
Suggests: rmarkdown, spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: yes
Packaged: 2026-09-10 12:54:34 UTC; Yousa-Mirage
Author: Hao Cheng [aut, cre, cph]
Maintainer: Hao Cheng <Yousa-Mirage@foxmail.com>
Repository: CRAN
Date/Publication: 2026-09-28 13:40:09 UTC

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New package contentvalidR with initial version 0.4.0
Package: contentvalidR
Title: Tools for Substantive and Content Validity Pretesting
Version: 0.4.0
Description: Provides quantitative tools for substantive and content-oriented scale pretesting. Implements item-sort indices from Anderson and Gerbing (1991) <doi:10.1037/0021-9010.76.5.732>, exact item-sort inference following Howard and Melloy (2016) <doi:10.1007/s10869-015-9404-y>, empirical interpretation benchmarks from Colquitt et al. (2019) <doi:10.1037/apl0000406>, and the construct-rating procedure of Hinkin and Tracey (1999) <doi:10.1177/109442819922004> with HTC/HTD indices and repeated-measures item screening. The expert-panel workflow combines Aiken's V with score confidence intervals, Lawshe content validity ratios with exact inference, content validity indices with modified kappa and score intervals, item-objective congruence, and panel-level agreement using Krippendorff's alpha as described by Hayes and Krippendorff (2007) <doi:10.1080/19312450709336664>. Also provides judge and rater heterogeneity analysis following the generalizability-theory treatmen [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
Imports: stats
Suggests: irr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/JUhalt/contentvalidR, https://juhalt.github.io/contentvalidR/
BugReports: https://github.com/JUhalt/contentvalidR/issues
NeedsCompilation: no
Packaged: 2026-09-18 11:19:25 UTC; JUhalt
Author: Joshua Uhalt [aut, cre]
Maintainer: Joshua Uhalt <Josh.Uhalt@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-28 11:10:02 UTC

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New package xmlrectr with initial version 0.1.0
Package: xmlrectr
Title: Rectangle Arbitrary 'XML' into Analysis-Friendly Tables
Version: 0.1.0
Description: Converts arbitrary 'XML' into canonical node tables and analysis-friendly rectangular outputs without requiring a vocabulary-specific parser. Supports conservative structure proposals, explicit reusable profiles, advisory 'XSD' inspection, bounded streaming, 'CSV' and 'Parquet' output, an analyst-oriented single-table projection, and record-level parallel execution with automatic scheduling. The native implementation uses 'libxml2' for structural acceleration while the 'R' implementation remains the semantic reference.
License: GPL-3
URL: https://github.com/larry77/xmlrectr
BugReports: https://github.com/larry77/xmlrectr/issues
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: stats, tibble, tools, utils, xml2, XML
Suggests: arrow, future, future.mirai, futurize, furrr, jsonlite, knitr, mori, pkgdown, progressr, purrr, rmarkdown, testthat (>= 3.0.0), yaml
SystemRequirements: libxml2 development files, pkg-config; on Windows use the matching Rtools toolchain
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2026-09-18 06:45:18 UTC; lorenzo
Author: Lorenzo Isella [aut, cre]
Maintainer: Lorenzo Isella <lorenzo.isella@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-28 10:30:02 UTC

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New package ERRI with initial version 0.1.0
Package: ERRI
Title: Economic Resilience and Recovery Index
Version: 0.1.0
Description: Estimates multidimensional economic resilience following a disruption by comparing observed outcomes with a counterfactual path. Components describe shock depth, cumulative loss, recovery time, recovery strength, post-shock stability, and positive transformation. The package supports grouped analysis, residual-bootstrap uncertainty, alternative weighting schemes, ranking probabilities, sensitivity analysis, shock screening, and diagnostic plots. Methods are designed for regional, sectoral, market, and other regularly observed economic time series.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-18 08:43:28 UTC; majum
Author: Anbukkani Perumal [aut], Mrinmoy Ray [aut], Chiranjit Mazumder [aut, cre, cph]
Maintainer: Chiranjit Mazumder <majumder.chira@icar.org.in>
Repository: CRAN
Date/Publication: 2026-09-28 10:50:02 UTC

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New package svyLocAdj with initial version 1.0.1
Package: svyLocAdj
Title: Modelling Survey Data (E.g., DHS) with Adjustment for Location Perturbations
Version: 1.0.1
Date: 2026-09-10
Depends: R (>= 4.5)
Description: Bayesian spatial models for survey data, such as Demographic and Health Survey (DHS), with spatial cluster location displacement adjustments. The package implements models for (1) continuous, (2) binary, (3) count and (4) spatially varying models for continuous outcomes. For more details see Bakar et al. (2026) <doi:10.1093/jrsssa/qnag068>.
License: GPL (>= 2)
Imports: rstan, sf, geodist, ggplot2, dplyr, tibble, spTimer
LazyData: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-18 02:00:12 UTC; kbak4671
Author: K. Shuvo Bakar [aut, cre] , Jahidur Rahman Khan [ctb] , Bernard Baffour [ctb]
Maintainer: K. Shuvo Bakar <shuvo.bakar@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-28 09:10:02 UTC

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New package shinysnap with initial version 0.1.0
Package: shinysnap
Title: Save and Restore the State of 'shiny' Applications
Version: 0.1.0
Description: Save the state of applications built with 'shiny', the web application framework by Chang et al. (2026) <doi:10.32614/CRAN.package.shiny>. Users can share their work and continue it in another session. Input values and selected values held by the server are saved in JSON (JavaScript Object Notation) files that can be read and edited by hand. Saved state can be restored without reloading the page or setting up bookmarking. Restoration waits for inputs that appear as the page changes and reports which values were restored, missing, or could not be applied.
License: MIT + file LICENSE
URL: https://nanx.me/shinysnap/, https://github.com/nanxstats/shinysnap
BugReports: https://github.com/nanxstats/shinysnap/issues
Encoding: UTF-8
Imports: htmltools, jsonlite, promises, R6, shiny (>= 1.8.0), utils, zmij
Suggests: bslib, chromote, httpuv, knitr, later, rmarkdown, shinyMatrix, shinytest2, testthat (>= 3.0.0), withr, zip
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-18 01:57:54 UTC; nanx
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2026-09-28 09:10:07 UTC

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New package Mobius with initial version 1.0
Package: Mobius
Title: Mobius Transport for Directional Data
Version: 1.0
Date: 2026-09-18
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Directional, grDevices, Rfast, rgl, stats
Suggests: Rfast2
Description: Density evaluation, random generation, and maximum likelihood estimation for the Mobius-von Mises-Fisher and isotropic scaled von Mises-Fisher distributions on the hypersphere, introduced in Garcia-Portugues and Kato (2026) <doi:10.48550/arXiv.2607.29280>. Both distributions arise from Mobius transport of a von Mises-Fisher distribution.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-09-18 06:18:42 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-09-28 09:10:14 UTC

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New package eyeprocess with initial version 0.11.1
Package: eyeprocess
Title: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data
Version: 0.11.1
Description: Provides an extensible, vendor-neutral framework for importing, validating, harmonizing, transforming, visualizing, and modelling eye-tracking, pupillometry, behavioural, and biometric process data. The package uses explicit timebase and coordinate-space registries, preserves native fields and provenance, and offers first-class adapters for Gazepoint Analysis and Gazepoint Biometrics exports alongside generic and vendor-specific importers. Downstream tools support trial and area of interest reconstruction, signal-quality auditing, feature derivation, scanpath analysis, response-time and item-response workflows, and optional psychometric modelling engines. An integrated Gazepoint workflow produces quality-control evidence, media-trial reconstruction, plots, analysis-ready process tables, item response theory (IRT)-ready response structures, and reproducible reports. Brain Imaging Data Structure (BIDS) interoperability for eye-tracking and validation-release infrastructure support disk-b [...truncated...]
License: MIT + file LICENSE
URL: https://stefanosbalaskas.github.io/eyeprocess/, https://github.com/stefanosbalaskas/eyeprocess
BugReports: https://github.com/stefanosbalaskas/eyeprocess/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, methods, splines, stats, utils, withr
Suggests: brms, ggplot2, jsonlite, knitr, lme4, LNIRT, mirt, rmarkdown, TAM, arrow, diffIRT, GDINA, OpenMx, TraMineR, testthat (>= 3.0.0), callr, cmdstanr, eyetrackingR, future, future.apply, openssl, PupillometryR, rtdists, seqHMM, LSMjml, MASS, mgcv, nnet, survival, eRm, FactoMineR, mice, missForest, plm, psychotree, ranger, robfilter, tidyLPA, loo, posterior, targets, equateIRT, catR, mirtCAT
Additional_repositories: https://stan-dev.r-universe.dev
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-13 10:23:23 UTC; Stefanos-PC
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>
Repository: CRAN
Date/Publication: 2026-09-28 09:30:08 UTC

More information about eyeprocess at CRAN
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New package wowi with initial version 1.0.3
Package: wowi
Title: Detect Spatial Clusters of High Rates of Acute Malnutrition
Version: 1.0.3
Description: Utilities for detecting statistically significant spatial clusters of high acute malnutrition rates using a Bernoulli spatial scan statistic, implemented via the 'SaTScan' software <https://www.satscan.org/>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Language: en-GB
URL: https://github.com/tiwowi/wowi, https://tiwowi.github.io/wowi/
BugReports: https://github.com/tiwowi/wowi/issues
Imports: dplyr (>= 1.1.4), rlang (>= 1.1.6), rsatscan (>= 1.0.9), mwana (>= 0.2.5), withr (>= 3.0.2), stringr (>= 1.5.1), tibble (>= 3.3.0), shiny (>= 1.11.1), shinycssloaders (>= 1.1.0), bslib (>= 0.9.0), openxlsx (>= 4.2.8.1), DT (>= 0.34.0), htmltools (>= 0.5.8.1)
Suggests: covr (>= 3.6.4), knitr (>= 1.50), rmarkdown (>= 2.30), quarto (>= 1.4.4), shinytest2 (>= 0.4.1), spelling (>= 2.3.1), testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: quarto
BuildVignettes: true
NeedsCompilation: no
Packaged: 2026-09-17 14:51:42 UTC; tomaszaba
Author: Tomas Zaba [aut, cre, cph]
Maintainer: Tomas Zaba <tomas.zaba@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-28 08:10:02 UTC

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New package TSQLEM with initial version 0.1.0
Package: TSQLEM
Title: Two Stage Estimation for Generalized Structural Equation Models
Version: 0.1.0
Description: Provides a framework to estimate high dimensional generalized structural equation models using two stage quasi-likelihood expectation-maximization. The structural model supports binomial (logit and probit), Poisson, negative binomial, and gamma distributions for the outcome variable. Hattab (2026) "A Two Stage Quasi-Likelihood Estimation Method for High Dimensional Generalized Structural Equation Models" <doi:10.48550/arXiv.2608.16017>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.6.0)
Imports: lavaan, Matrix, MASS, mvtnorm
Suggests: psych
NeedsCompilation: no
Packaged: 2026-09-17 13:57:55 UTC; Admin
Author: Mohammad Hattab [aut, cre, cph]
Maintainer: Mohammad Hattab <mwhattab@unm.edu>
Repository: CRAN
Date/Publication: 2026-09-28 08:10:08 UTC

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New package SurveyNCD with initial version 0.1.0
Package: SurveyNCD
Title: Survey-Weighted Analysis of Self-Reported Health Indicators
Version: 0.1.0
Description: Analyses population health survey data from the World Health Organization (WHO) Stepwise Approach to Non-Communicable Disease (NCD) Risk Factor Surveillance (STEPS), Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and similar complex sample surveys, where chronic conditions are self-reported rather than coded using the International Classification of Diseases (ICD) and estimates must account for stratification, clustering, and sampling weights. Includes a self-reported multimorbidity index based on the Functional Comorbidity Index (FCI) described by Groll et al. (2005) <doi:10.1016/j.jclinepi.2004.10.018>, design-weighted population prevalence estimation via the 'survey' package, a survey-weighted concentration index for health inequality analysis, a DHS anthropometric z-score categoriser, a choropleth mapping helper, and exploratory survey-weighted gradient boosting (via 'xgboost') with SHapley Additive exPlanations (SHAP) based explainability. T [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: dplyr, ggplot2, magrittr, rlang, stats, survey, tidyr
Suggests: knitr, rmarkdown, sf, srvyr, testthat (>= 3.0.0), xgboost
URL: https://github.com/StatAid-Research-Lab/SurveyNCD
BugReports: https://github.com/StatAid-Research-Lab/SurveyNCD/issues
NeedsCompilation: no
Packaged: 2026-09-17 19:57:37 UTC; sujon
Author: Sujon Mia [aut, cre], Md. Atiqul Islam [ctb]
Maintainer: Sujon Mia <sujonsgc@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-28 08:30:24 UTC

More information about SurveyNCD at CRAN
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New package ROI.plugin.coinclp with initial version 0.1.0
Package: ROI.plugin.coinclp
Title: 'COIN-OR' 'Clp' Plugin for the 'R' Optimization Infrastructure
Version: 0.1.0
Description: Registers the 'COIN-OR' 'Clp' linear programming solver, through the 'coinclp' package, with the 'R' Optimization Infrastructure ('ROI'). Linear programs with continuous variables are then solved by ROI_solve(op, solver = "coinclp"), keeping sparse constraint matrices sparse all the way to the solver, and returning dual values, reduced costs and row activities alongside the primal solution.
License: EPL
URL: https://github.com/SamLovick/ROI.plugin.coinclp
BugReports: https://github.com/SamLovick/ROI.plugin.coinclp/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: coinclp (>= 0.1.0), methods, ROI (>= 1.0-0), slam, stats
Suggests: Matrix, ROI.plugin.highs
NeedsCompilation: no
Packaged: 2026-09-15 15:10:23 UTC; samlo
Author: Sam Lovick [aut, cre]
Maintainer: Sam Lovick <sam@lovickconsulting.com>
Repository: CRAN
Date/Publication: 2026-09-28 08:10:13 UTC

More information about ROI.plugin.coinclp at CRAN
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New package pagerankr with initial version 0.1.0
Package: pagerankr
Title: Modular Toolkit for PageRank Calculation
Version: 0.1.0
Description: Provides a set of modular, pipeable functions to calculate PageRank scores from edge lists and redirect reports, common in SEO analysis. Functions handle URL cleaning, redirect resolution, edge deduplication, isolate handling, and PageRank computation using base R for data manipulation and 'igraph' for core PageRank calculation.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
Imports: igraph, rurl (>= 3.0.1), utils
Suggests: testthat (>= 3.0.0), withr, knitr, rmarkdown, pkgdown, covr, lintr, spelling, goodpractice, shiny, DT, visNetwork, oysteR, rosv
VignetteBuilder: knitr
URL: https://pagerankr-63ad30.gitlab.io/, https://gitlab.com/bart-turczynski/pagerankr
BugReports: https://gitlab.com/bart-turczynski/pagerankr/-/issues
NeedsCompilation: no
Packaged: 2026-09-17 16:26:29 UTC; bartturczynski
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek@turczynski.pl>
Repository: CRAN
Date/Publication: 2026-09-28 08:50:02 UTC

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New package mariposa with initial version 0.7.3
Package: mariposa
Title: 'SPSS'-Compatible Statistical Tools for Survey Data
Version: 0.7.3
Description: Statistical analysis of survey data with full support for survey weights, grouped operations, and 'tidyverse' integration. Provides 80 functions for data import/export ('SPSS', 'Stata', 'SAS', 'Excel') with label roundtripping and tagged NA preservation, label management (variable labels, value labels, type conversions, missing value declaration), data transformation (recoding, dummy coding, standardization, centering), descriptive statistics, codebook generation, hypothesis testing, correlation analysis, post-hoc comparisons, weighted statistics, scale analysis, regression, non-parametric tests, exact tests, factorial ANOVA, and ANCOVA. Every analysis offers compact print() and detailed summary() output with toggleable sections. Statistical results are validated against 'SPSS' version 29 within documented per-tier tolerances (see the compatibility vignette for per-function status). Methods follow the published algorithms of IBM Corp. (2023, "IBM SPSS Statistics Algorithms"), the Lilli [...truncated...]
License: MIT + file LICENSE
Language: en
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli (>= 3.0.0), htmltools (>= 0.5.0), stats, utils, dplyr (>= 1.0.0), rlang (>= 1.0.0), tidyselect (>= 1.1.0), tibble (>= 3.0.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, haven (>= 2.4.0), GPArotation, MASS, openxlsx2, survey, broom, psych, lavaan, semTools, nortest
VignetteBuilder: knitr
LazyData: true
URL: https://YannickDiehl.github.io/mariposa/, https://github.com/YannickDiehl/mariposa
BugReports: https://github.com/YannickDiehl/mariposa/issues
NeedsCompilation: no
Packaged: 2026-09-17 19:47:08 UTC; yannickdiehl
Author: Yannick Diehl [aut, cre]
Maintainer: Yannick Diehl <yannick.diehl@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-28 08:30:09 UTC

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New package harf with initial version 0.1.0
Package: harf
Title: Adversarial Random Forests for Omics Synthesis
Version: 0.1.0
Description: We extend Adversarial Random Forests to a high-dimensional framework. The method partitions the feature space into regions where the assumption of feature independence within tree leaves is more likely to hold. Region-specific adversarial random forest models are trained to capture local dependence structures, while an additional adversarial random forest is fitted to a meta-space representation to model dependencies between regions. New observations are generated by first sampling from the meta-space model and then conditionally sampling from each region-specific model. The proposed methodology is described in Fouodo et al. (2026) <doi:10.64898/2026.09.09.750490>.
License: GPL-3
Encoding: UTF-8
Imports: arf, data.table, stats, ClusterR, matrixStats, pracma, pls, fastPLS, RGCCA, ranger, rsvd, foreach
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, checkmate, Rtsne, SingleCellExperiment, corrplot, scater, cowplot, ggplot2, doParallel, pROC, caret
Depends: R (>= 3.6.0)
VignetteBuilder: knitr, rmarkdown
BugReports: https://github.com/bips-hb/harf/issues
LazyData: true
URL: https://bips-hb.github.io/harf/
NeedsCompilation: no
Packaged: 2026-09-18 00:52:40 UTC; CKUETEF
Author: Cesaire J. K. Fouodo [aut, cre], Jan Kapar [aut], Marvin N. Wright [aut]
Maintainer: Cesaire J. K. Fouodo <fouodo@leibniz-bips.de>
Repository: CRAN
Date/Publication: 2026-09-28 09:00:18 UTC

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New package DeltaTools with initial version 0.1.4
Package: DeltaTools
Title: DELTA Analytic Tools and Learning Curve Analysis
Version: 0.1.4
Description: A collection of tools for researchers interested in carrying out parametric estimation of learning curves and device effects based on the publication by Ssemaganda et al. (2025) <doi:10.2147/MDER.S520191> with modified versions of propensity score matching (PSM) and inverse probability of treatment weighting (IPTW).
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: broom (>= 1.0.12), caret (>= 7.0-1), data.table (>= 1.18.4), DescTools (>= 0.99.60), dplyr (>= 1.2.1), gbm (>= 2.2.3), ggplot2 (>= 4.0.3), glmnet (>= 5.0), ldbounds (>= 2.0.2), lmtest (>= 0.9-40), MatchIt (>= 4.7.2), methods, mgcv (>= 1.9-4), minpack.lm (>= 1.2-4), parameters (>= 0.28.3), plotly (>= 4.12.0), pROC (>= 1.19.0.1), ResourceSelection (>= 0.3-6), rms (>= 8.1-1), ROCR (>= 1.0-12), sjPlot (>= 2.9.0), stats, stringr (>= 1.6.0), tableone (>= 0.13.2), twang (>= 2.6.2)
Suggests: kableExtra (>= 1.4.0), knitr (>= 1.51), rmarkdown (>= 2.31), testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-17 19:59:04 UTC; amyperkins
Author: Michael Matheny [aut, cph] , Frederic Resnic [aut, cph] , Henry Ssemaganda [aut, cph] , Jejo Koola [aut, cph] , Amy Perkins [aut, cph, cre]
Maintainer: Amy Perkins <amy.perkins@vumc.org>
Repository: CRAN
Date/Publication: 2026-09-28 08:40:19 UTC

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New package cWise with initial version 0.1.0
Package: cWise
Title: Crosswise Models for Sensitive Survey Questions
Version: 0.1.0
Description: Implements a bias-corrected crosswise estimator and its extensions for sensitive survey questions. The methods are described in Atsusaka and Stevenson (2023). "A bias-corrected estimator for the crosswise model with inattentive respondents" <doi:10.1017/pan.2021.43>.
License: GPL-3
URL: https://github.com/YukiAtsusaka/cWise, https://www.atsusaka.org/cwise/
BugReports: https://github.com/YukiAtsusaka/cWise/issues
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, mvtnorm (>= 1.1-1), scales
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-17 22:53:53 UTC; yatsusak
Author: Yuki Atsusaka [aut, cre], Kolbe Dumas [aut]
Maintainer: Yuki Atsusaka <atsusaka@uh.edu>
Repository: CRAN
Date/Publication: 2026-09-28 09:00:24 UTC

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New package VeraCrop with initial version 0.1.0
Package: VeraCrop
Title: Yield Gap Analysis Using Comparative Performance Analysis
Version: 0.1.0
Description: Implements automated variable-type detection, preprocessing, encoding, scaling, model diagnostics, variable selection, and yield gap computation for agricultural comparative performance analysis (CPA). The comparative performance analysis approach is described in de Bie (2004) <doi:10.1016/j.scienta.2003.11.017>. For an overview of yield gap assessment methodologies, see Kamkar et al. (2025) <doi:10.1016/j.agsy.2025.104392>.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils, ggplot2
Suggests: lmtest, car, e1071, bit64, patchwork, writexl, relaimpo, testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Author: Abolfazl Derakhshan [aut, cph], Elham Elahifard [aut, cre], Aghajan Bahadori [ctb], Shaban Zarei [ctb], Hossein Norouzi [ctb]
Maintainer: Elham Elahifard <e.elahifard@asnrukh.ac.ir>
Packaged: 2026-09-17 05:35:16 UTC; a.derakhshan
Repository: CRAN
Date/Publication: 2026-09-28 07:50:07 UTC

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New package stabplot with initial version 0.0.1
Package: stabplot
Title: Stability Plots for Lasso Stability Selection
Version: 0.0.1
Description: Provides stability selection with Lasso and two diagnostic plots for assessing selection stability. The Regustab plot shows stability across the regularisation parameter grid, while the Convstab plot shows stability as a function of the number of subsamples. Methods are described in Nouraie and Muller (2026) <doi:10.1080/03610926.2026.2715517>.
License: MIT + file LICENSE
Imports: glmnet, latex2exp, ggplot2
Encoding: UTF-8
URL: https://github.com/MahdiNouraie/stabplot, https://www.tandfonline.com/doi/full/10.1080/03610926.2026.2715517
BugReports: https://github.com/MahdiNouraie/stabplot/issues
NeedsCompilation: no
Packaged: 2026-09-17 05:53:03 UTC; 48099783
Author: Mahdi Nouraie [aut, cre], Samuel Muller [aut]
Maintainer: Mahdi Nouraie <mahdinouraie20@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-28 07:50:02 UTC

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New package saebenchmarking with initial version 0.1.0
Package: saebenchmarking
Title: Benchmarking Small Area Estimates and Their Mean Squared Errors
Version: 0.1.0
Maintainer: Fiona Audia Nauli Sihombing <fionasihombing95@gmail.com>
Description: Adjusts model-based small area estimates so that their weighted aggregate agrees with the weighted aggregate of the direct estimates, using the difference, ratio, and optimum benchmarking methods described in Rao and Molina (2015, ISBN:978-1-118-73578-7) and Wang, Fuller and Qu (2008). The mean squared error (MSE) of the benchmarked empirical best linear unbiased predictor (EBLUP) under the Fay-Herriot model is estimated with the second-order approximation or the parametric bootstrap of Steorts and Ghosh (2013) <doi:10.5705/ss.2012.053>. The posterior MSE of the benchmarked hierarchical Bayes (HB) estimator follows Datta, Ghosh, Steorts and Maples (2011) <doi:10.1007/s11749-010-0218-y>.
License: MIT + file LICENSE
URL: https://github.com/fionaaudia/saebenchmarking
BugReports: https://github.com/fionaaudia/saebenchmarking/issues
Depends: R (>= 3.5)
Imports: sae, stats, withr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-17 11:07:26 UTC; fiona
Author: Fiona Audia Nauli Sihombing [aut, cre, cph], Azka Ubaidillah [aut]
Repository: CRAN
Date/Publication: 2026-09-28 08:00:02 UTC

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New package FSSgam with initial version 1.2.0
Package: FSSgam
Title: Full Subsets Multiple Regression Using GAMs
Version: 1.2.0
Description: Full-subsets information-theoretic approaches are increasingly used to explore predictive power and variable importance when a wide range of candidate predictors are being considered. This package provides functions that can be used to construct, fit, and compare a complete model set of possible ecological or environmental predictors for a given response variable of interest. Models are based on Generalized Additive Models (GAMs) and build on the 'MuMIn' package. Advantages include the capacity to fit more predictors than there are replicates, automatic removal of models with correlated predictors, and support for model sets that include interactions between factors and smooth predictors, as well as smooth-by-smooth interactions via te(). Methods are described in Fisher et al. (2018) <doi:10.1002/ece3.4134>.
Depends: R (>= 4.4.0)
License: Apache License (== 2.0)
Encoding: UTF-8
LazyData: true
Imports: doSNOW, foreach, mgcv, MuMIn, nnet, parallel, stats, utils
URL: https://github.com/beckyfisher/FSSgam_package, https://beckyfisher.github.io/FSSgam_package/, https://beckyfisher.github.io/FSSgam/
BugReports: https://github.com/beckyfisher/FSSgam_package/issues
Suggests: covr, gamm4, Matrix, testthat (>= 3.2.0)
NeedsCompilation: no
Packaged: 2026-09-17 00:54:17 UTC; rfisher
Author: Rebecca Fisher [aut, cre], Australian Institute of Marine Science [cph]
Maintainer: Rebecca Fisher <r.fisher@aims.gov.au>
Repository: CRAN
Date/Publication: 2026-09-28 07:30:08 UTC

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New package DPSynth with initial version 0.1.0
Package: DPSynth
Title: Differentially Private Synthetic Data with Guaranteed Utility
Version: 0.1.0
Maintainer: Mukul Bijalwan <mukulbijalwan555@gmail.com>
Description: Differentially private (DP) synthetic data generation for tabular data. Provides DP Gaussian mixture models, DP Gaussian copulas, DP histogram marginals and a Private Aggregation of Teacher Ensembles (PATE) synthesizer for mixed-type data, together with a standardized utility evaluation framework (univariate fidelity, propensity score MSE, multivariate dependence, downstream task performance), empirical disclosure risk auditing (membership inference, attribute disclosure, record linkage) and privacy budget accounting (basic, advanced and Renyi DP composition). The implementation follows Dwork and Roth (2014) <doi:10.1561/0400000042> and Dwork et al. (2006) <doi:10.1007/11681878_14> for the DP mechanisms, Papernot et al. (2017) <doi:10.1145/3133956.3133982> for the PATE synthesizer, and Woo et al. (2009) <doi:10.2202/1557-4679.1203> for the disclosure risk evaluation framework.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils, MASS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/MukulBijalwan/DPSynth
BugReports: https://github.com/MukulBijalwan/DPSynth/issues
NeedsCompilation: no
Packaged: 2026-09-17 11:32:14 UTC; Admin
Author: Mukul Bijalwan [aut, cre], Gunjan Aggarwal [aut], Mukul Jain [aut]
Repository: CRAN
Date/Publication: 2026-09-28 08:00:08 UTC

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New package cardiovagal with initial version 0.1.5
Package: cardiovagal
Version: 0.1.5
Title: Automatic Equivalence Testing for Cross-Species Cardiovagal Homeostasis
Description: Automates cardiovagal state regulation mapping by translating raw, noisy mammalian heart rate variability intervals into a standardized linear index using fixed physiological anchors. The package incorporates natural log data compression and utilizes two-one-sided tests (TOST) and Bayesian Region of Practical Equivalence (ROPE) thresholds to mathematically verify cross-species homeostatic synchronization. Methodologies for equivalence testing and regional practical equivalence bounds follow Lakens (2017) <doi:10.1177/1948550617697177> and Kruschke (2018) <doi:10.1177/2515245918771304>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: equivalence, stats
NeedsCompilation: no
Packaged: 2026-09-17 02:35:43 UTC; amyannette
Author: Amy Perry [aut, cre]
Maintainer: Amy Perry <amy.perry@umconnect.umt.edu>
Repository: CRAN
Date/Publication: 2026-09-28 07:30:02 UTC

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Sun, 27 Sep 2026

New package winn with initial version 0.1.5
Package: winn
Title: White Noise Normalization for Mass Spectrometry Profiling Data
Version: 0.1.5
Description: Provides a decision-guided workflow for correcting technical variability in chemical profiling data. Tests for white noise identify measured features that need correction while preserving those that already pass. The workflow combines robust outlier adjustment, adaptive drift detection, change-point segmentation, batch correction, and probabilistic quotient normalization in a single pipeline or as modular steps. It supports parameter tuning using pooled quality-control samples as well as operation for studies without pooled controls.
Depends: R (>= 3.5.0)
Imports: stats, lmtest, mgcv, splines
Suggests: knitr, rmarkdown, sva, testthat (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/ratschlab/winn
BugReports: https://github.com/ratschlab/winn/issues
NeedsCompilation: no
Packaged: 2026-09-16 13:12:08 UTC; ttanna
Author: Tanmay Tanna [aut, cre, cph]
Maintainer: Tanmay Tanna <tanmay@tanmaytanna.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:02 UTC

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New package trialdiff with initial version 0.2.0
Package: trialdiff
Title: Clinical Trial Data-Cut Change Detection and Impact Assessment
Version: 0.2.0
Description: A transparent, rule-based framework for detecting changes between successive data cuts of clinical trial datasets, classifying those changes into clinically meaningful categories, tracing user-defined data lineage, and assessing which downstream analyses and outputs may be affected. The package is designed to complement existing low-level data frame comparison tools by adding clinical-trial-specific classification, lineage and impact-assessment layers on top of deterministic comparison. The rule-based classification is similar in spirit to the data validation infrastructure of van der Loo and de Jonge (2021) <doi:10.18637/jss.v097.i10>.
License: MIT + file LICENSE
URL: https://github.com/Hirujan-R/trialdiff, https://Hirujan-R.github.io/trialdiff/
BugReports: https://github.com/Hirujan-R/trialdiff/issues
Depends: R (>= 4.1)
Imports: cli, dplyr, htmltools, jsonlite, rlang, tibble
Suggests: admiral, cards, covr, diffdf, haven, igraph, knitr, lintr, metacore, pharmaverseadam, pharmaversesdtm, pkgdown, rmarkdown, rtables, styler, tern, testthat (>= 3.0.0), waldo, withr
Encoding: UTF-8
Language: en-GB
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-16 10:10:19 UTC; Hirujan
Author: Hirujan Rangaraj [aut, cre]
Maintainer: Hirujan Rangaraj <hirujanrangaraj@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:30:02 UTC

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New package simPreg with initial version 0.1.0
Package: simPreg
Title: Simulate Pregnancy Data with Time-Varying Exposure
Version: 0.1.0
Description: Simulates pregnancy data in a time-to-event framework, allowing a time-varying exposure. Default parameters for gestational length and exposure timing are provided but may also be user-specified. Users can further specify hazard ratios for spontaneous and non-spontaneous live birth and late miscarriage/stillbirth following exposure.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-16 05:47:18 UTC; SINS
Author: Siri N. Skodvin [aut, cre], Miriam Gjerdevik [ctb], Hakon K. Gjessing [ctb]
Maintainer: Siri N. Skodvin <siri.skodvin@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:10:02 UTC

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New package pkgcheck with initial version 0.3.0
Package: pkgcheck
Title: Package Checks for 'rOpenSci'
Version: 0.3.0
Description: Check whether a package is ready for submission to the 'rOpenSci' peer review system ('rOpenSci' authors (2026) <doi:10.5281/zenodo.2553043> "'rOpenSci' Packages: Development, Maintenance, and Peer Review"). Incorporates the 'goodpractice' package and many additional checks, including aspects related to maintenance of online public code repositories.
License: GPL-3
URL: https://docs.ropensci.org/pkgcheck/, https://github.com/ropensci-review-tools/pkgcheck
BugReports: https://github.com/ropensci-review-tools/pkgcheck/issues
Depends: R (>= 3.5.0)
Imports: cli, covr, curl, fs, gert, gh, goodpractice, httr2, methods, pkgstats, praise, rappdirs, rmarkdown, rprojroot, rvest, srr, withr
Suggests: callr, httptest2, jsonlite, knitr, memoise, pkgbuild, roxygen2, testthat (>= 3.0.0), xfun
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-09-16 10:57:05 UTC; smexus
Author: Mark Padgham [aut, cre] , Maelle Salmon [aut], Jacob Wujciak-Jens [aut] , Kelli F. Johnson [ctb] , Eunseop Kim [aut] , Katrina Brock [ctb] , Andy Teucher [aut] , Eric R. Scott [aut]
Maintainer: Mark Padgham <mark.padgham@email.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:30:09 UTC

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New package netOP with initial version 0.1.2
Package: netOP
Title: Network Data Operations and Overlapping Partitions Based Methods for Large Networks
Version: 0.1.2
Description: Implements methods for generating, embedding, and clustering random networks and for estimating and selecting statistical network models. Provides SONNET (Subsampling ON NETwork), a scalable subsampling-based divide-and-conquer method for community detection described by Chakrabarty, Sengupta and Chen (2025) <doi:10.5705/ss.202022.0108>, and NETCROP (NETwork CRoss-validation using Overlapping Partitions), an overlapping-partition framework for network cross-validation, model selection, and regularization tuning described by Chakrabarty, Sengupta and Chen (2026) <doi:10.48550/arXiv.2504.06903>. Also includes spectral and latent-space methods, loss functions, and helper functions for statistical analysis of network data.
License: GPL (>= 2)
URL: https://github.com/sayan-ch/netOP, https://sayan-ch.github.io
BugReports: https://github.com/sayan-ch/netOP/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cluster, irlba, Matrix, methods, Rcpp, RSpectra, tibble
LinkingTo: Rcpp, RcppEigen
Suggests: entropy, future, future.apply, ggplot2, knitr, peakRAM, pkgdown, ps, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Copyright: 2026 Sayan Chakrabarty
NeedsCompilation: yes
Packaged: 2026-09-16 15:18:02 UTC; runner
Author: Sayan Chakrabarty [aut, cre]
Maintainer: Sayan Chakrabarty <sayanc@umich.edu>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:08 UTC

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New package myman with initial version 0.1.0
Package: myman
Title: Draw from Sequence of 'My Man' Posts by Kevin Kruse
Version: 0.1.0
Date: 2026-09-16
Description: Starting on the afternoon of July 17, 2026, Kevin Kruse fired off an astonishing array of 'BlueSky' replies to an initial post of his featuring a certain government figure: <https://bsky.app/profile/did:plc:cnpe7qvcyjrhm6w7w7e4atur/post/3mqum4mxsuk2g>. This lasted a week and generated nearly seven hundred posts. A second wave started on August 12, 2026, with this post: <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mstvbjpagc2a>. A third wave started on August 17, 2026, with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mtcpiw7gi22j>. A fourth wave started on August 27, 2026, with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mu3pugs2yk2f>. A fifth wave ran on August 30, 2026, beginning with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mudbzy5ksk25>. A sixth wave started September 4, 2026, with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3muparqtdkk2w>. A seventh wave started September 12, 2026, wi [...truncated...]
URL: https://github.com/eddelbuettel/myman
BugReports: https://github.com/eddelbuettel/myman/issues
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-09-16 13:10:59 UTC; edd
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2026-09-27 16:30:16 UTC

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New package mSigSpectra with initial version 0.1.3
Package: mSigSpectra
Title: Build Mutational-Spectrum Catalogs from Variant Call Format Files
Version: 0.1.3
Description: Reads variant call format (VCF) files in a caller-agnostic way, annotates variants with flanking sequence context and transcriptional strand, and builds mutational-spectrum catalogs of single base substitutions (SBS), doublet base substitutions (DBS), and small insertions and deletions (indels, ID) at several resolutions (SBS96, SBS192, SBS1536, DBS78, DBS136, DBS144, ID83, ID89, ID166, ID476) and in both counts and density representations. Successor to the numerical core of the 'ICAMS' package with plotting, 'shiny', and portable document format (PDF) reporting removed; plotting is provided separately by 'mSigPlot'. Used in the preparation of Rozen et al. (2026) <doi:10.5281/zenodo.18451842>.
License: GPL-3
URL: https://github.com/steverozen/mSigSpectra, https://steverozen.github.io/mSigSpectra/
BugReports: https://github.com/steverozen/mSigSpectra/issues
Encoding: UTF-8
LazyData: true
Language: en-US
Imports: BSgenome, data.table, fastrc, GenomeInfoDb, GenomicRanges, IRanges, Rcpp, S4Vectors, stats, stringi, tools
Depends: R (>= 4.1)
LinkingTo: Rcpp
Suggests: BSgenome.Hsapiens.1000genomes.hs37d5, BSgenome.Hsapiens.UCSC.hg38, BSgenome.Mmusculus.UCSC.mm10, knitr, mSigPlot, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-16 17:38:49 UTC; steve
Author: Steve Rozen [aut, cre], Nanhai Jiang [aut], Arnoud Boot [aut], Mo Liu [aut], Yang Wu [aut], Mi Ni Huang [aut], Jia Geng Chang [aut]
Maintainer: Steve Rozen <steverozen@pm.me>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:24 UTC

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New package mdbx with initial version 0.1.0
Package: mdbx
Title: Bindings to the 'libmdbx' Embedded Key-Value Store
Version: 0.1.0
Description: Provides low-level bindings to 'libmdbx', a compact and fast transactional key-value store built on memory-mapped files (<https://libmdbx.dqdkfa.ru/>). Database environments, transactions, and byte-oriented read and write operations are exposed directly. The 'libmdbx' sources are bundled and compiled into the package, so no system library installation is required.
License: MIT + file LICENSE
URL: https://pedrobtz.github.io/mdbx/, https://github.com/pedrobtz/mdbx
BugReports: https://github.com/pedrobtz/mdbx/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: cpp11
NeedsCompilation: yes
Packaged: 2026-09-16 14:23:29 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Leonid Yuriev [ctb, cph] , Howard Chu [ctb, cph] , Symas Corporation [cph] , Martin Hedenfalk [ctb, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:17 UTC

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New package ISPAT3D with initial version 0.3.1
Package: ISPAT3D
Title: Spatial Conditional Association Networks in Registered Tumor Volumes
Version: 0.3.1
Description: Fits tumor-zone-specific conditional cell-density networks from registered three-dimensional multiplex imaging. An anisotropic Matern-3/2 Gaussian process is estimated per variable and zone using a Vecchia likelihood on spatially balanced anchors; predictions at all selected cells yield residual covariance sufficient statistics. Gaussian maximum likelihood then fits a shared-plus-zone factor covariance model. A matched section-wise planar fit uses the same selected cells and covariance estimator. This extends the spatially informed cell-density analysis of Bhadury et al. (2026) <doi:10.1038/s41598-026-35341-8>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: gpboost, graphics, stats, utils
Suggests: data.table, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/sagnikbhadury/ISPAT-3D
BugReports: https://github.com/sagnikbhadury/ISPAT-3D/issues
NeedsCompilation: no
Packaged: 2026-09-16 15:43:50 UTC; bhadury
Author: Sagnik Bhadury [aut, cre]
Maintainer: Sagnik Bhadury <bhadury@umich.edu>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:37 UTC

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New package insectecol with initial version 1.0.1
Package: insectecol
Title: Insect Ecology Data Analysis Toolkit
Version: 1.0.1
Description: A collection of analytical tools for insect ecology research, currently covering age-stage, two-sex life table analysis and dose-response bioassays. The life table module supports fast batch processing of multi-group datasets, validates raw 'csv' data, computes cohort size, mean fecundity, age-stage survival rates, age-specific survival, age-specific fecundity, life expectancy, and derived population parameters (net reproductive rate, intrinsic and finite rates of increase, mean generation time), simultaneously generates age-stage survival curves for all groups, and exports all tabular results and plots to 'Excel' in a single run. The bioassay module estimates lethal concentrations by the traditional and the weighted (improved) linear regression methods and by probit analysis, with Abbott correction, 95% confidence intervals and chi-square goodness-of-fit tests; the lethal proportion can be set freely (e.g., 25%, 50%, 70% or 90%), so any LC value such as the LC25, LC70 or LC90 can be c [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2 (>= 3.5.0), grid, magrittr, openxlsx, ragg, scales, sysfonts, readr, showtext, tidyr, utils
Suggests: testthat (>= 3.0.0)
URL: https://github.com/SeaGhost-0/insectecol
BugReports: https://github.com/SeaGhost-0/insectecol/issues
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-09-16 05:58:02 UTC; SeaGhost
Author: Wangyao Li [aut, cre, cph]
Maintainer: Wangyao Li <1561941342@qq.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:10:07 UTC

More information about insectecol at CRAN
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New package GTFShift with initial version 1.0.0
Package: GTFShift
Title: Explore and Analyse General Transit Feed Specification (GTFS) Files with a Focus on Urban Mobility
Version: 1.0.0
Description: A bundle of methods to harmonize GTFS and OSM data, enabling the integration and exploration of different layers of transit data, starting with the planned operations (GTFS), but also the infrastructure topology (OSM) and real-time information (GTFS-RT).
License: GPL
URL: https://github.com/U-Shift/GTFShift, https://u-shift.github.io/GTFShift/
Depends: R (>= 4.1.0)
Imports: tidytransit, gtfstools, sf, tidyselect, tidyr, lubridate, httr, jsonlite, dplyr, osmdata, stringr, callr, purrr, rlang, xml2, withr
Suggests: knitr, rmarkdown, mapview, osmextract, rosmium, testthat, zip, gtfsrouter (>= 0.1.4), reticulate, parallel, RProtoBuf, stplanr, lwgeom, progress, stringi, spelling
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-16 14:16:01 UTC; goncalo
Author: Goncalo F. Matos [aut, cre] , Rosa Felix [aut] , Miguel Relvas Pires [ctb]
Maintainer: Goncalo F. Matos <goncaloafmatos@tecnico.pt>
Repository: CRAN
Date/Publication: 2026-09-27 16:30:21 UTC

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New package escapeR with initial version 0.1.0
Package: escapeR
Title: Escape Room Adventures for Learning R in Ecological Statistics
Version: 0.1.0
Description: A lightweight classroom game where students learn R by solving ecological-statistics puzzles inside a virtual escape room. The package remembers each player's progress, offers hints, and uses tasks inspired by introductory R teaching material, numerical ecology, ecological modelling, and distance sampling.
License: GPL (>= 3)
URL: https://github.com/TiagoAMarques/escapeR
BugReports: https://github.com/TiagoAMarques/escapeR/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.1.7), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-15 15:13:13 UTC; tiago
Author: Tiago Marques [aut, cre], OpenAI Codex [ctb]
Maintainer: Tiago Marques <tiago.marques@st-andrews.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-27 16:20:02 UTC

More information about escapeR at CRAN
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New package CPHazard with initial version 0.1.0
Package: CPHazard
Title: Hazard Change Point Models for Different Lifetime Distributions
Version: 0.1.0
Description: Estimates the parameters of models with a single change-point in the hazard rate for time-to-event data. Supported models include the exponential (Gijbels & Gürler (2003) <doi:10.1023/B:LIDA.0000012424.71723.9d>, Matthews & Farewell (1982) <doi:10.2307/2530460>), Exponential-Lindley (Joshi & Rattihalli (2020) <doi:10.1007/978-981-15-5414-8_29>), Lindley (Joshi, Jose, & Bhati (2016) <doi:10.1080/03610918.2015.1096381>), log-logistic (Nadar, Upadhyay, & Joshi (2025) <doi:10.3390/math13091457>), and Weibull (Williams & Kim (2013) <doi:10.1080/03610926.2011.600505>) hazard change-point models. Provides functions for generating random variates and evaluating the probability density function (PDF) and the cumulative distribution function (CDF) of the fitted change-point models. Includes Kaplan-Meier and Nelson-Aalen diagnostic plots, together with goodness-of-fit measures such as the Akaike Information Criterion (AIC), the Bayesian [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lamW, survival, EnvStats
Maintainer: Vasudha Upadhyay <vasudhyay@gmail.com>
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-16 11:02:37 UTC; Keerthan Aithal
Author: Vasudha Upadhyay [aut, cre], Dr. Savitri Joshi [aut, cph], Keerthan Aithal [aut]
Repository: CRAN
Date/Publication: 2026-09-27 16:30:29 UTC

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New package bgns with initial version 0.4.3
Package: bgns
Title: Biweight Graph and Network Statistics
Version: 0.4.3
Description: Provides memory-efficient biweight midcorrelation and exact bicor-based k-nearest-neighbor graph construction for dense and sparse numeric matrices. Dense, sparse, and mixed-input paths avoid materializing full dense similarity matrices for tidy and k-nearest-neighbor workflows where possible. The implementation supports pairwise finite-overlap handling and robust correlation-based graph construction for biological expression matrices and other high-dimensional numeric data.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: Matrix, methods, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements: C++17, optional OpenMP
VignetteBuilder: knitr
NeedsCompilation: yes
URL: https://github.com/metaddict/bgns
BugReports: https://github.com/metaddict/bgns/issues
Packaged: 2026-09-16 15:54:16 UTC; adityakshirsagar
Author: Aditya Kshirsagar [aut, cre]
Maintainer: Aditya Kshirsagar <adityaksh4@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:32 UTC

More information about bgns at CRAN
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New package SIVMethod with initial version 0.1.0
Package: SIVMethod
Title: Identification, Estimation and Inference Based on Structural Error Projection
Version: 0.1.0
Description: Estimation and inference for regression models with endogenous regressors using a semiparametric projection approach. Instrumental variables are constructed internally from observed regressors by projecting out a space of basis functions used to represent the conditional mean of the structural error. A least absolute shrinkage and selection operator (LASSO) procedure selects basis functions for the projection. Tools are provided for simulation studies and empirical applications. The methods are based on Dong, Gao, Linton and Peng (2026) <doi:10.48550/arXiv.2607.05699>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Greatknee/SIVMethod
BugReports: https://github.com/Greatknee/SIVMethod/issues
Depends: R (>= 3.5)
Imports: glmnet, stats, utils
Suggests: testthat (>= 3.0.0)
Date: 2026-09-14
NeedsCompilation: no
Packaged: 2026-09-15 11:48:25 UTC; greatknee
Author: Yuhuai Chen [aut, cre], Chaohua Dong [aut], Jiti Gao [aut], Linton Oliver [aut], Bin Peng [aut]
Maintainer: Yuhuai Chen <yuhuai.chen0351@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:00:09 UTC

More information about SIVMethod at CRAN
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New package datapond with initial version 0.1.0
Package: datapond
Title: Query Curated 'DuckDB' Databases Built from Public Data
Version: 0.1.0
Description: Connects to the 'datapond' registry of curated 'DuckDB' databases built from public government and research data (immigration courts, campaign finance, clinical trials, Medicare, and more). Databases are attached remotely over HTTP so only the byte ranges a query touches are transferred, or downloaded once for local use. Returns standard 'DBI' connections that work with 'dbplyr'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: curl (>= 5.0.0), DBI, duckdb (>= 1.0.0), jsonlite, tools, utils
Suggests: dbplyr (>= 2.3.0), dplyr, knitr, rmarkdown, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: knitr
URL: https://github.com/datapond-db/datapond-r, https://datapond-db.github.io/website/
BugReports: https://github.com/datapond-db/datapond-r/issues
NeedsCompilation: no
Packaged: 2026-09-16 01:05:16 UTC; inason
Author: Ian Nason [aut, cre]
Maintainer: Ian Nason <ign.nason@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:00:03 UTC

More information about datapond at CRAN
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New package chat.api with initial version 0.1.0
Package: chat.api
Title: Transport-Agnostic Chat Contract
Version: 0.1.0
Date: 2026-09-11
Description: A transport-agnostic contract for chat-room connectivity: connect, poll, and send against one interface, with adapters for 'Matrix' <https://spec.matrix.org/>, 'Slack' <https://api.slack.com/>, 'Telegram' <https://core.telegram.org/bots/api>, and Internet Relay Chat (IRC). An in-memory adapter supports local testing. Capability flags describe support for threads, markup dialects, encryption, and per-message identity. Platform clients are supplied by optional packages; the core interface uses only base R.
License: Apache License (>= 2)
Depends: R (>= 4.0)
URL: https://github.com/cornball-ai/chat.api
BugReports: https://github.com/cornball-ai/chat.api/issues
Suggests: httr, mx.api, mx.client (>= 0.2.1), mx.crypto (>= 0.2.2), slackr, telegram, tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-15 23:19:44 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-09-27 15:50:02 UTC

More information about chat.api at CRAN
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Sat, 26 Sep 2026

New package memtoc with initial version 0.1.1
Package: memtoc
Title: 'Tictoc'-Style Memory Usage Tracking
Version: 0.1.1
Description: Provides simple start/stop memory tracking functions tic_mem() and toc_mem() that can be nested, inspired by the 'tictoc' package. Track RAM usage during code execution with support for logging, custom messages, nested tracking blocks, and parallel worker monitoring. Features continuous background polling to estimate peak memory usage across main process and workers. Integrates with the 'future' package ecosystem for automatic worker detection. Designed for monitoring memory consumption in parallel workflows.
License: MIT + file LICENSE
URL: https://github.com/jcoa05/memtoc
BugReports: https://github.com/jcoa05/memtoc/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ps (>= 1.7.0), cli (>= 3.0.0), callr (>= 3.7.0)
Suggests: testthat (>= 3.2.0), withr, future, parallelly, knitr, rmarkdown
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-15 19:55:54 UTC; jocampo
Author: Juan Ocampo [aut, cre]
Maintainer: Juan Ocampo <jocampo1997@hotmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 17:10:02 UTC

More information about memtoc at CRAN
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New package xplus with initial version 1.0.2
Package: xplus
Title: Positive and Unlabeled Learning from Unbalanced Cases and Sparse Structures
Version: 1.0.2
Description: Provides PLUS-derived extensions for positive and unlabeled (PU) learning from unbalanced cases and sparse structures, based on Zhou et al. (2022) <doi:10.1371/journal.pcbi.1009956>. Iteratively relabels unlabeled observations via penalised logistic regression and pseudo-label updates, then refits a final sparse model. Includes weighted bootstrap sampling, convergence diagnostics, prediction, coefficient extraction, and assessment utilities.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: glmnet (>= 4.1-8), Matrix, methods, stats, tibble, utils
Suggests: covr, knitr, rmarkdown, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/alrobles/xplus, https://alrobles.github.io/xplus/
BugReports: https://github.com/alrobles/xplus/issues
NeedsCompilation: no
Packaged: 2026-09-15 13:35:09 UTC; alrobles
Author: Angel Robles [aut, cre]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:30:02 UTC

More information about xplus at CRAN
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New package Spec2Annot with initial version 1.3.4
Package: Spec2Annot
Title: Annotation of Mass Spectra
Version: 1.3.4
Description: Provides a comprehensive suite of functions to efficiently annotate mass spectra data. Motivated by the need for rapid and accurate chemical identification in high-resolution mass spectrometry, it integrates built-in chemical databases and high-performance C++ algorithms. Users can perform mass-to-charge (m/Z) and retention time searches, determine elemental compositions of molecules using heuristic rules, including specific isotopes, and annotate MS2 spectra with structural metrics using configurable chemistry rules.
License: CeCILL
URL: https://github.com/odisce/Spec2Annot
BugReports: https://github.com/odisce/Spec2Annot/issues
Depends: R (>= 4.0.0)
Encoding: UTF-8
Imports: data.table, magrittr, Rcpp, stringr
Suggests: testthat (>= 3.0.0)
LazyData: true
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-09-15 15:03:47 UTC; SD265344
Author: Sylvain Dechaumet [aut, cre], Etienne Thevenot [ctb], Eric Venot [rev], Annelaure Damont [ctb], Anais Legrand [ctb]
Maintainer: Sylvain Dechaumet <sylvain.dechaumet@cea.fr>
Repository: CRAN
Date/Publication: 2026-09-26 16:40:25 UTC

More information about Spec2Annot at CRAN
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New package sencensus with initial version 0.1.0
Package: sencensus
Title: Access to Senegal Demographic and Census Datasets
Version: 0.1.0
Date: 2026-09-15
Description: Download, cache, and analyze census datasets and demographic statistics from Senegal. Datasets are sourced from public census releases provided by the Agence Nationale de la Statistique et de la Demographie (ANSD) <https://www.ansd.sn> and hosted on GitHub releases <https://github.com/Amady01/sencus>. Also provides tools to search through variable dictionaries and load tabular demographic indicators.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, httr, readr, readxl
URL: https://github.com/Amady01/sencusR
BugReports: https://github.com/Amady01/sencusR/issues
NeedsCompilation: no
Packaged: 2026-09-15 11:20:02 UTC; amsal
Author: Amadou SALL [aut, cre]
Maintainer: Amadou SALL <amadymail01@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:20:02 UTC

More information about sencensus at CRAN
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New package semrulesid with initial version 0.4.1
Package: semrulesid
Title: Evaluate Structural Equation Model Identification Rules
Version: 0.4.1
Description: Evaluates selected necessary and sufficient identification conditions in structural equation models (SEMs), including latent-variable scaling constraints. Output reports rule status and applicability and provides diagnostic messages to support model specification and respecification. The package is intended as a diagnostic aid and does not implement a universal identification algorithm. For more details, see Bollen (2026, ISBN:978-1009312820).
License: GPL (>= 3)
Encoding: UTF-8
Imports: lavaan
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/zacharyvig/semrulesid
BugReports: https://github.com/zacharyvig/semrulesid/issues
NeedsCompilation: no
Packaged: 2026-09-15 13:13:05 UTC; ZACHMAC
Author: Zach Vig [aut, cre, cph]
Maintainer: Zach Vig <zachvig@rocketmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:20:07 UTC

More information about semrulesid at CRAN
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New package Rclade with initial version 1.1.5
Package: Rclade
Title: Automated Deep-Time Phylogenetic Tree Collapsing and Visualization
Version: 1.1.5
Author: Zeng Zichao [aut, cre]
Maintainer: Zeng Zichao <zengzichao@sjtu.edu.cn>
Description: Provides a single-function pipeline for automated collapsing and visualization of large phylogenetic trees with geological timescales. Automatically parses taxonomic labels from multiple formats (GTDB, Silva, NCBI, embedded, custom), identifies Most Recent Common Ancestors (MRCAs), assigns color-blind-safe palettes, executes batch collapsing with automatic nesting-aware ordering, integrates 'deeptime' geologic time scales with adaptive time breaks and unit switching, and manages smart legend layout. Supports special ancestral node identifiers (LUCA, LACA, LBCA) for highlighting key nodes in the tree of life. Provides external taxonomy file support for trees with incomplete or missing taxonomic labels. Features real-time logging with timestamps, step tracking, and multiple log levels. Includes comprehensive input validation for tree and sequence file formats. Reduces a 60-line manual workflow to a single function call while preserving full compatibility with the 'ggtree'/'deeptime' ecos [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: ape (>= 5.0), ggtree (>= 4.0.0), deeptime (>= 1.0), ggplot2 (>= 3.5.0), rlang, stringr (>= 1.5), tidytree (>= 0.4), viridisLite
Suggests: treeio (>= 1.0), phangorn (>= 2.0), RColorBrewer, cowplot (>= 1.1), patchwork (>= 1.1), shiny (>= 1.7), optparse (>= 1.7), yaml, vdiffr (>= 1.0), testthat (>= 3.0), knitr, rmarkdown, covr, filelock, withr
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/zengzichao/Rclade, https://zengzichao.github.io/Rclade/
BugReports: https://github.com/zengzichao/Rclade/issues
NeedsCompilation: no
Packaged: 2026-09-15 16:09:30 UTC; zengzichao
Repository: CRAN
Date/Publication: 2026-09-26 16:40:32 UTC

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New package moire with initial version 3.7.0
Package: moire
Title: Multiplicity of Infection and Allele Frequency Recovery from Noisy Polyallelic Genetics Data
Version: 3.7.0
Description: A Markov Chain Monte Carlo (MCMC) based approach to Bayesian estimation of individual level multiplicity of infection, within host relatedness, and population allele frequencies from polyallelic genetic data. Implements the model described in Murphy and Greenhouse (2024) <doi:10.1093/bioinformatics/btae619>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
SystemRequirements: C++17, GNU make
LinkingTo: Rcpp, RcppProgress, RcppParallel, BH
Imports: Rcpp, RcppProgress, RcppParallel, dplyr, tidyr, stats, parallel, purrr, rlang, ggplot2
URL: https://github.com/EPPIcenter/moire, https://eppicenter.github.io/moire/, https://eppicenter.ucsf.edu/resources
BugReports: https://github.com/EPPIcenter/moire/issues
Suggests: knitr, rmarkdown, forcats, testthat (>= 3.0.0), parallelly
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Packaged: 2026-09-15 17:53:11 UTC; mmurphy
Author: Maxwell Murphy [aut, cre] , Bryan Greenhouse [aut, ths]
Maintainer: Maxwell Murphy <mm@maxmurphy.dev>
Repository: CRAN
Date/Publication: 2026-09-26 16:50:02 UTC

More information about moire at CRAN
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New package mappingAS with initial version 1.13.2
Package: mappingAS
Title: Spatial Metrics and Habitat Conversion for Extinction Risk Assessment
Version: 1.13.2
Author: Antonio Lucas Barreira [aut, cre, cph]
Maintainer: Antonio Lucas Barreira <barreira_rodrigues@hotmail.com>
Description: A spatial analytical framework for preliminary species extinction-risk screening following the IUCN Red List Criterion B guidelines. From occurrence points it computes the Extent of Occurrence (EOO) and Area of Occupancy (AOO) on a data-centred equal-area projection, assigns provisional Criterion B categories, and integrates 'MapBiomas' land-use/land-cover data to quantify the proportion of anthropogenic conversion versus remaining natural habitat within each range metric, with per-class breakdowns and land-cover time series. Several 'MapBiomas' initiatives are supported through one standardised legend - 'MapBiomas' Brazil, the Pan-Amazon / Amazonia collection (RAISG), Colombia, Argentina, Bolivia, Chile, Ecuador, Peru, Venezuela, Paraguay and Uruguay - so a species anywhere these products cover can be screened as readily as a Brazilian one. For ranges outside 'MapBiomas' coverage it can fall back to the global 'Esri' / 'Impact Observatory' 10 m annual land cover derived from 'Sentinel [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: sf (>= 1.0.0), terra (>= 1.7.0), shiny, bslib, leaflet, units, lwgeom, readxl, rlang, grid, tools, utils, stats, graphics, grDevices, DT, htmltools, htmlwidgets, ggplot2, plotly, officer
Suggests: rgee, reticulate, writexl, zip, curl, ggnewscale, ggtrendline, ragg, shinyWidgets, testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://github.com/lucasbarreirageo/mappingAS
BugReports: https://github.com/lucasbarreirageo/mappingAS/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-15 17:14:56 UTC; codespace
Repository: CRAN
Date/Publication: 2026-09-26 16:50:08 UTC

More information about mappingAS at CRAN
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New package heteroTests with initial version 0.11.2
Package: heteroTests
Title: Heteroscedasticity Diagnostics for Linear Models
Version: 0.11.2
Description: Provides a unified set of heteroscedasticity diagnostics for linear-model workflows. It implements classical auxiliary-regression tests, including those of White (1980) <doi:10.2307/1912934>, Breusch and Pagan (1979) <doi:10.2307/1911963>, Koenker (1981) <doi:10.1016/0304-4076(81)90062-2>, Goldfeld and Quandt (1965) <doi:10.1080/01621459.1965.10480811> and Harvey (1976) <doi:10.2307/1913974>; the score test of Cook and Weisberg (1983) <doi:10.1093/biomet/70.1.1>; the ARCH test of Engle (1982) <doi:10.2307/1912773>; and group-wise tests of equal variance, including those of Bartlett (1937) <doi:10.1098/rspa.1937.0109>, Brown and Forsythe (1974) <doi:10.1080/01621459.1974.10482955> and Hartley (1950) <doi:10.2307/2332383>. Resampling and scalable variants, simulation utilities, diagnostic visualisation and remediation helpers share a consistent interface designed for reproducible statistical workflows and integration with common [...truncated...]
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: MASS, stats, ggplot2, curl, generics, scales, R6, parallel, SuppDists
Suggests: quickcheck, testthat (>= 3.0.0), styler, lintr, digest, covr, knitr, rmarkdown, gridExtra, shiny, DT, plotly, htmlwidgets, readxl, Matrix, bench, lmtest, plm, withr, car, vartest, mgcv, quantreg, sandwich, spdep, broom, workflows, parsnip, recipes, survey, data.table, dtplyr, dplyr
VignetteBuilder: knitr
URL: https://github.com/DiogoRibeiro7/heteroTests, https://diogoribeiro7.github.io/heteroTests/
BugReports: https://github.com/DiogoRibeiro7/heteroTests/issues
NeedsCompilation: no
Packaged: 2026-09-15 16:55:05 UTC; runner
Author: Diogo Ribeiro [aut, cre]
Maintainer: Diogo Ribeiro <dfr@esmad.ipp.pt>
Repository: CRAN
Date/Publication: 2026-09-26 16:50:16 UTC

More information about heteroTests at CRAN
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New package gpuinfo with initial version 0.1.0
Package: gpuinfo
Title: Lightweight Hardware and GPU Compute Detection
Version: 0.1.0
Description: Detects central processing unit and graphics processing unit hardware and reports the apparent availability of 'CUDA', 'Metal', 'ROCm', and 'OpenCL' compute backends. Detection uses operating-system information, documented platform interfaces, and optional command-line utilities, without requiring a GPU framework, 'Python', or a vendor software development kit. Backend interpretation follows the official 'CUDA' <https://docs.nvidia.com/cuda/cuda-driver-api/>, 'Metal' <https://developer.apple.com/documentation/metal>, 'ROCm' <https://rocm.docs.amd.com/>, and 'OpenCL' <https://registry.khronos.org/OpenCL/> documentation. Missing hardware, drivers, libraries, and utilities are handled safely.
License: MIT + file LICENSE
URL: https://github.com/tkcaccia/gpuinfo
BugReports: https://github.com/tkcaccia/gpuinfo/issues
Encoding: UTF-8
NeedsCompilation: yes
Depends: R (>= 3.6.0)
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Packaged: 2026-09-15 14:45:12 UTC; stefano
Author: Stefano Cacciatore [aut, cre]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:40:08 UTC

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New package ggCheysson with initial version 1.0.1
Package: ggCheysson
Title: Graphic Styles of Emile Cheysson for 'ggplot2'
Version: 1.0.1
Date: 2026-09-14
Description: Implements for 'ggplot2' the stylistic elements (fonts, hatched patterns, color palettes) used by 'Emile Cheysson' in the 'Albums de Statistique Graphique', sometimes called the pinnacle of the Golden Age of Statistical Graphics.
Imports: ggplot2
Suggests: ggpattern, ggthemes, gridpattern, systemfonts, showtext, sysfonts, ragg, knitr, rmarkdown, Guerry, sf, tidyr, dplyr
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
URL: https://github.com/friendly/ggCheysson, https://friendly.github.io/ggCheysson/
BugReports: https://github.com/friendly/ggCheysson/issues
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-15 15:39:21 UTC; friendly
Author: Michael Friendly [aut, cre] , RJ Andrews [ctb], Tom Shanley [ctb], Kenneth Fields [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2026-09-26 16:40:13 UTC

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New package gcf with initial version 0.1.0
Package: gcf
Title: Generalized Covariate Field
Version: 0.1.0
Description: Generates generalized covariate field (GCF) variables from spatial covariates observed at projected coordinates, and selects a stable subset of them for geospatial prediction. For each input covariate the method builds spatial-pattern features (local indicator of spatial association, local Geary's c, log local variance, rank quantile entropy, geocomplexity, log scale variance, local variogram exponent, and signed z-score and median absolute deviation outlier strengths over a series of buffer radii) and neighbourhood-distribution features (buffer-wise quantiles of the covariate values surrounding each location), reduces the buffer and quantile sweeps to a compact set of interpretable functional summaries, and selects variables by random forest importance combined with spatial-block stability resampling and group voting. The GCF method is positioned as prediction-oriented feature construction: its output feeds any downstream regression learner. Methods are described in Song (2026) <do [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: geocomplexity, ranger, sf, spdep, stats, utils
Suggests: knitr, randomForest, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-09-15 07:02:05 UTC; 268222h
Author: Yongze Song [aut, cre, cph]
Maintainer: Yongze Song <yongze.song@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:10:02 UTC

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New package fastconley with initial version 0.11.1
Package: fastconley
Title: Fast Conley Standard Errors for 'lfe' and 'fixest' Models
Version: 0.11.1
Maintainer: Richard Bluhm <richard.bluhm@gmail.com>
Description: Conley (1999) <doi:10.1016/S0304-4076(98)00084-0> spatial heteroscedasticity and autocorrelation consistent (HAC) standard errors for fixed effects panel and cross-sectional models estimated with felm() from the 'lfe' package (ordinary least squares and instrumental variables) or with feols(), feglm(), and fepois() from the 'fixest' package. Instrumental-variable support is limited to ordinary two-stage least squares. Generalized linear model fits use the M-estimation sandwich built from the stored scores and inverse Hessian. The spatial path uses score accumulation, a three-dimensional cell-grid neighbour search, and compressed sparse row neighbour lists instead of dense distance matrices, yielding large speedups over the original 'conley' package <https://github.com/rbluhm/conley> on big cross-sections and high-dimensional regressions.
License: MIT + file LICENSE
URL: https://github.com/rbluhm/fastconley, https://rbluhm.github.io/fastconley/
BugReports: https://github.com/rbluhm/fastconley/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: data.table, Rcpp, stats
Suggests: fixest, knitr, lfe, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-15 17:35:20 UTC; richard
Author: Richard Bluhm [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-09-26 17:00:02 UTC

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New package eiballots with initial version 0.1.0-1
Package: eiballots
Title: Ballot-Level Microdata and Summaries for Ecological Inference (Florida 2000)
Version: 0.1.0-1
Description: Provides access to ballot-level electoral microdata from the Florida 2000 general election and tools for computing summaries suitable for ecological inference. Includes functions to load data by county or race (election), compute marginal distributions at the precinct level, and build joint contingency arrays across multiple races for use with ecological inference packages. Data files are stored in a remote repository and downloaded on demand; local copies are supported via the 'data_dir' option. Acknowledgements: We thank Jaime Ventura (ANES, University of Michigan) and Dan Keating (The Washington Post) for providing the raw data that serve as the starting point for the construction of this package. We also acknowledge funding from the Conselleria de Educación, Cultura y Universidades (grant CIACIO/2023/031).
URL: https://doi.org/10.17605/OSF.IO/NP73B
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats
Suggests: testthat (>= 3.0.0), usethis
NeedsCompilation: no
Packaged: 2026-09-15 18:36:55 UTC; pavia
Author: Cristina Aybar [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2026-09-26 17:00:08 UTC

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New package drisdiagnostics with initial version 1.0.1
Package: drisdiagnostics
Title: Diagnostic Systems for Plant Nutrient Analysis (DRIS, MDRIS, PASS)
Version: 1.0.1
Description: Provides implementations of the Diagnosis and Recommendation Integrated System (DRIS), the Modified DRIS (MDRIS), and the Plant Analysis with Standardized Scores (PASS) approaches for nutrient diagnosis in crops. These methods allow quantitative evaluation of nutrient imbalances using ratio-based indices and standardized scores, supporting improved fertilizer use efficiency and crop management decisions. The DRIS method is described in Walworth, J.L. and Sumner, M.E. (1987) <doi:10.1007/978-1-4612-4682-4_4>. The MDRIS approach is detailed in Beverly, R.B. (1987) <doi:10.1080/01904168709363672>. The PASS method combining DRIS and sufficiency ranges is presented in Baldock, J.O. and Schulte, E.E. (1996) <doi:10.2134/agronj1996.00021962008800030015x>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, stats, rlang
Suggests: readxl, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-15 18:54:14 UTC; bejoy
Author: Blesson B. Varghese [aut, cre], Mubashir Sadiq V [aut], Deepthi C [aut], Sowmiya Saravanan [aut], Aparna Mohan V [aut]
Maintainer: Blesson B. Varghese <blessonvarghese1234@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 17:00:16 UTC

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New package diy.sem.plot with initial version 1.0.0
Package: diy.sem.plot
Title: Manually Plot Path Diagrams for Structural Equation Models
Version: 1.0.0
Description: Manually plot fully customisable path diagrams for structural equation models (SEM). Map out node positions using simple coordinates and specify where on the perimeter of each node paths begin and end. Extensive fine-tuning options allow the creation of a path diagram exactly as envisioned, entirely within R.
Encoding: UTF-8
Imports: ggplot2, ggtext, ggforce, lavaan, patchwork
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/snagy86/diy.sem.plot
BugReports: https://github.com/snagy86/diy.sem.plot/issues
VignetteBuilder: knitr
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-09-15 10:31:57 UTC; snagy
Author: Sebastian Nagy [aut, cre, cph]
Maintainer: Sebastian Nagy <snagy8610@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:20:13 UTC

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New package cwad with initial version 0.2.0
Package: cwad
Title: Connectivity-Weighted Allocation and Comparison of Field-Plot Designs
Version: 0.2.0
Date: 2026-09-15
Description: A reproducible mixed-model toolkit for plant-breeding trial design. It evaluates any replication allocation under a known genetic relationship (kinship) matrix using one common linear-mixed-model engine on genotype means. Crucially, allocation and analysis model are crossed rather than confounded: every allocation can be scored both with and without kinship, so the precision gain attributable to a design can be separated from the gain attributable to the kinship-based analysis adopted alongside it. It computes A-optimal, connectivity-aware allocations via rank-1 Sherman-Morrison updates, and provides Monte-Carlo stress tests for outlier shrinkage and for an incorrectly specified kinship matrix, each with a matched control arm.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/bkpraveenars-del/cwad
BugReports: https://github.com/bkpraveenars-del/cwad/issues
NeedsCompilation: no
Packaged: 2026-09-15 07:43:57 UTC; root
Author: Praveen Kumar [aut, cre]
Maintainer: Praveen Kumar <bkpraveenars@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:10:07 UTC

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New package bslibdash with initial version 0.7.5
Package: bslibdash
Title: 'Bootstrap' 5 Dashboard Framework for 'shiny' Apps
Version: 0.7.5
Description: Provides a dashboard layer for 'shiny' applications built on 'bslib' and 'Bootstrap' 5. Includes a dashboard page shell, sidebar navigation, cards, value boxes, header drop-down menus and feedback components that inherit the active 'bslib' theme and follow 'Bootstrap' design patterns. Function names mirror those of the 'shinydashboard' package wherever the underlying concepts are shared, allowing existing applications to migrate with minimal changes.
License: MIT + file LICENSE
URL: https://github.com/Novartis/bslibdash, https://opensource.nibr.com/bslibdash/
BugReports: https://github.com/Novartis/bslibdash/issues
Depends: R (>= 4.1.0)
Imports: utils, shiny (>= 1.0.5), shinyjs, htmltools, bslib (>= 0.6.0), bsicons, rlang, glue, sass
Suggests: testthat (>= 3.0.0), withr, knitr, lintr, rmarkdown, covr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-09-15 14:32:17 UTC; KOUREAL2
Author: Alexandros Kouretsis [aut, cre], Ardalan Mirshani [aut], Dominik Rafacz [aut], Novartis Open Source Initiative [cph]
Maintainer: Alexandros Kouretsis <alexandros@appsilon.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:40:19 UTC

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New package bgfanalyzer with initial version 1.1.0
Package: bgfanalyzer
Title: Analyze Microbial Biogas Fermentation Data
Version: 1.1.0
Description: Provides a new S3 class object and relevant methods to analyze biogas fermentation data. It includes three workflows. One is specialized to a commercially available lab-scale fermentation system (see e.g. Nwaigwe (2018) <doi:10.1115/ES2018-7553>). The second provides more flexibility and allows to import data from plain text files. The last workflow offers the most flexibility as it doesn't expect external input files but relays on interactive user input. Although the focus is set on biogas fermentations, concepts and workflows may be also applicable to other fermentations even if not a gaseous product is measured. Furthermore, it provides functions that bridge to established plot engines (e.g. 'ggplot2' or 'plotly') for data visualisation. 'bgfanalyzer' catches up an idea of Hafner et al. (2018) <doi:10.1016/j.softx.2018.06.005> of using R to standardize research within the biogas field. For more details on standardization efforts within the biogas research field see Holl [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stats, utils, rlang, zoo, dplyr, graphics, ggplot2, plotly
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-15 16:47:28 UTC; blacki
Author: Maximilian Strick [aut, cre, cph]
Maintainer: Maximilian Strick <maximilianb.strick@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:50:25 UTC

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New package acousticTS with initial version 2.0.6
Package: acousticTS
Title: Physics-Based Models for Acoustic Target Strength
Version: 2.0.6
Copyright: See file inst/COPYRIGHTS.
Description: Acoustic target strength (TS) represents the intensity of an echo returning from an individual scatterer such as bubbles, fish, or zooplankton. TS can be used to convert integrated or volumetric backscatter collected from fisheries acoustic surveys into units of number density (e.g. animals per m^3), abundance (e.g. number of animals), and biomass (e.g. kg). This parameter can also be used to aid in classifying backscatter, such as separating likely echoes of large predatory fish (e.g. adult cod) from smaller prey (e.g. shrimp). One way to estimate TS is to use physics-based models to calculate theoretical TS that comprise exact and approximate solutions as well as analytical approaches. The models provided can help provide TS estimates over broad statistical distributions of model parameters. Applications are described by Lucca et al. (2023) <doi:10.1121/10.0022459>, with fisheries-acoustics principles from Simmonds and MacLennan (2005) <doi:10.1002/9780470995303>.
License: GPL-3
URL: https://brandynlucca.github.io/acousticTS/, https://doi.org/10.5281/zenodo.7600659
BugReports: https://github.com/brandynlucca/acousticTS/issues
Depends: R (>= 4.0.0)
Imports: grDevices, graphics, methods, parallel, pbapply, Rcpp, stats, tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: BH, Rcpp, RcppArmadillo
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2026-09-15 19:00:48 UTC; Brandyn
Author: Brandyn Lucca [aut, cre, cph] , Arnie Lee Van Buren [ctb, cph] , Jeffrey E. Boisvert [ctb]
Maintainer: Brandyn Lucca <brandyn.lucca@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 17:00:34 UTC

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Fri, 25 Sep 2026

New package DCC with initial version 1.2.1
Package: DCC
Title: Data Cleaning Center for Survey and Assessment Data
Version: 1.2.1
Description: Rule-driven, auditable cleaning of survey and assessment response data, implementing the WeianData Detect-Execute-Report workflow. Provides a multi-format, multi-encoding input layer (CSV, 'Excel', 'SPSS', 'Stata', 'SAS', Parquet, JSON), the dcc_data container with a provenance chain, level-0 structural diagnostics, five built-in response-quality detectors (missing items, straight-lining, response time, trap items, score anomalies), a declarative YAML rule engine, an execution engine with a cell-level audit log, answer-key scoring, multi-form to master item bank mapping, a normalized report model rendered as bilingual staff workbooks and HTML, complete statistical bundles, and versioned machine JSON/JSONL with findings-to-changes reconciliation, cell-level lineage tracing, and manifest-based one-command reproduction. Includes a protected bilingual strict project workbook and matching JSON contract with cell-addressed validation, non-mutating preflight, preview-first execution, and loca [...truncated...]
License: GPL (>= 2)
Copyright: See file inst/COPYRIGHTS.
Encoding: UTF-8
Language: en
Depends: R (>= 4.1)
Imports: arrow, data.table (>= 1.14.0), haven (>= 2.5.5), jsonlite, openxlsx2 (>= 1.28), readODS (>= 2.3.5), readxl (>= 1.5.0), stringi (>= 1.7.0), methods, stats, tools, utils, writexl, yaml
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/weiandata/DCC
BugReports: https://github.com/weiandata/DCC/issues
NeedsCompilation: no
Packaged: 2026-09-02 11:30:25 UTC; makunxiang
Author: Kunxiang Ma [aut, cre], WEIAN DATA TECH Co., Ltd. [cph, fnd]
Maintainer: Kunxiang Ma <makunxiang@weiandata.com>
Repository: CRAN
Date/Publication: 2026-09-25 22:40:07 UTC

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New package churon with initial version 0.1.12
Package: churon
Title: 'ONNX Runtime' Integration
Version: 0.1.12
Description: Provides high-performance R bindings for 'ONNX Runtime' <https://onnxruntime.ai/>, enabling efficient machine learning model inference. Written in 'Rust' for memory safety and speed, the package supports cross-platform model execution with multiple execution providers. Includes comprehensive error handling and validation, with bundled MNIST example model for immediate testing and prototyping. Designed for production use with support for macOS (arm64), Linux (x64/arm64), and Windows (x64). Runtime libraries are downloaded on explicit request from <https://github.com/microsoft/onnxruntime/releases>.
License: MIT + file LICENSE
URL: https://github.com/mrchypark/churon
BugReports: https://github.com/mrchypark/churon/issues
Encoding: UTF-8
SystemRequirements: Cargo (>= 1.88.0), rustc (>= 1.88.0); ONNX Runtime (>= 1.28.0, optional at runtime)
Depends: R (>= 4.0.0)
Imports: digest
Suggests: testthat (>= 3.2.0)
NeedsCompilation: yes
Packaged: 2026-09-10 16:36:56 UTC; cypark
Author: Chanyub Park [aut, cre] , The authors of the dependency Rust crates [ctb] , ONNX Project contributors [ctb, cph] , Microsoft Corporation [cph]
Maintainer: Chanyub Park <mrchypark@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-25 22:40:02 UTC

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New package arity with initial version 0.1.0
Package: arity
Title: Format R Code with Arity
Version: 0.1.0
Description: Provides R bindings to the deterministic, rule-based formatter from 'arity'. Format R source text or individual files using a style based on the tidyverse R style guide.
License: MIT + file LICENSE
URL: https://github.com/jolars/arity-r, https://arity.cc
BugReports: https://github.com/jolars/arity-r/issues
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.89.0
NeedsCompilation: yes
Packaged: 2026-09-01 19:07:21 UTC; jola
Author: Johan Larsson [aut, cre, cph]
Maintainer: Johan Larsson <johan@jolars.co>
Repository: CRAN
Date/Publication: 2026-09-25 22:30:09 UTC

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Thu, 24 Sep 2026

New package screenllm with initial version 0.1.0
Package: screenllm
Title: LLM-Assisted Title/Abstract Screening for Systematic Reviews
Version: 0.1.0
Description: A turn-key workflow for LLM-assisted systematic-review screening. The package ranks a corpus of titles and abstracts with an ensemble of open-source large language models served locally by 'Ollama', then applies the SAFE stopping rule to identify the records a human should screen. Defaults match the four-LLM mean ensemble and the SAFE configuration recommended by Spillias et al. (2026). A companion 'Shiny' app walks the human reviewer through the records above the stopping point. Complementary to the 'AIscreenR' package of Vembye et al. (2025) <doi:10.1037/met0000769>, which targets cloud-hosted 'GPT' models via the 'OpenAI' API; 'screenllm' targets locally-served open-weights ensembles with an integrated stopping rule.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, digest, fs, jsonlite, tibble, dplyr, rlang, httr2, glue
Suggests: shiny, bslib, DT, callr, later, writexl, readxl, testthat (>= 3.0.0), knitr, rmarkdown, readr, withr, mockery, stringdist
VignetteBuilder: knitr
URL: https://github.com/s-spillias/screenllm
BugReports: https://github.com/s-spillias/screenllm/issues
NeedsCompilation: no
Packaged: 2026-09-15 05:47:11 UTC; spi085
Author: Scott Spillias [aut, cre], Laura Avila Turriago [aut], Christopher Brown [aut], Ariane Easton [aut], Jack Roberts [aut], Michael Sievers [aut], Steve Swearer [aut], Andrew Taylor [aut], Brigette Wright [aut], Valeriya Komyakova [aut]
Maintainer: Scott Spillias <scott.spillias@csiro.au>
Repository: CRAN
Date/Publication: 2026-09-24 15:00:02 UTC

More information about screenllm at CRAN
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New package rxode2lincmt with initial version 0.1.0
Package: rxode2lincmt
Version: 0.1.0
Title: Linear Compartment Model Solutions and Gradients for 'rxode2'
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.8), checkmate
Suggests: covr, testthat (>= 3.0.0)
Description: Analytic one, two and three compartment linear pharmacokinetic solutions with their parameter gradients from 'stan' automatic differentiation (Carpenter et al (2015) <doi:10.48550/arXiv.1509.07164>), eigen decompositions and derived-parameter conversions used by 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>). Split out of 'rxode2' so its installation does not compile 'stan' AD items which made it take too long to compile by itself. The closed-form solutions follow the idea of the 'wnl' package (Bae, <https://CRAN.R-project.org/package=wnl>), though the implementation here is different.
BugReports: https://github.com/nlmixr2/rxode2lincmt/issues/
NeedsCompilation: yes
License: GPL (>= 3)
URL: https://nlmixr2.github.io/rxode2lincmt/, https://github.com/nlmixr2/rxode2lincmt/
Biarch: true
LinkingTo: Rcpp (>= 1.0.8), RcppEigen (>= 0.3.3.9.2), StanHeaders (>= 2.21.0.7), BH, RcppParallel
Encoding: UTF-8
Language: en-US
Packaged: 2026-09-14 19:46:27 UTC; matt-fidler
Author: Matthew L. Fidler [aut, cre] , Richard Upton [ctb]
Repository: CRAN
Date/Publication: 2026-09-24 14:40:02 UTC

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New package RobustVis with initial version 0.1.2
Package: RobustVis
Title: Visualize ROBUST-RCT Risk of Bias Assessments
Version: 0.1.2
Description: Provides functions to visualize ROBUST-RCT assessments, as introduced by Wang et al. (2025) <doi:10.1136/bmj-2024-081199>. Through a two-step workflow (step 1 and step 2), the package generates bar plots and traffic-light plots that match standard Cochrane styles.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.2.0), ggplot2 (>= 4.0.2), scales (>= 1.4.0), tidyr (>= 1.3.1)
NeedsCompilation: no
Packaged: 2026-09-14 21:20:09 UTC; xiaobanxia
Author: Guang Chen [aut, cre], Fanrong Liang [aut]
Maintainer: Guang Chen <tcm_chen7410@163.com>
Repository: CRAN
Date/Publication: 2026-09-24 14:50:06 UTC

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New package RCTCovAdj with initial version 0.1.0
Package: RCTCovAdj
Title: Covariate Adjustment for Randomized Controlled Trials
Version: 0.1.0
Description: Implements covariate-adjusted estimation and inference for marginal mean differences in two-arm randomized controlled trials with continuous outcomes. Methods include the unadjusted difference in means, common-slope analysis of covariance, interacted standardization with joint influence-function inference, and cross-fitted augmentation. The package also provides analytic power and sample-size calculations, reproducible simulation designs, and article replication workflows, including tools for verifying and analyzing an authorized local trial-data file. The adjustment methods build on Tsiatis et al. (2008) <doi:10.1002/sim.3113> and Lin (2013) <doi:10.1214/12-AOAS583>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: digest, graphics, grDevices, parallel, stats, tools, utils
Suggests: knitr, medicaldata (>= 0.2.0), rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-09-14 20:26:11 UTC; seyoo
Author: Se Yoon Lee [aut, cre, cph]
Maintainer: Se Yoon Lee <seyoonlee.stat.math@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 14:50:11 UTC

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New package psvr with initial version 0.1.0
Package: psvr
Title: Percentage-Error Support Vector Regression
Version: 0.1.0
Description: Implements four support vector regression (SVR) models derived from a unified mathematical framework for percentage-error loss functions: epsilon-SVR minimizing the mean absolute percentage error (MAPE), its symmetric kernel extension, least-squares SVR (LS-SVR) minimizing the root mean square percentage error (RMSPE), and its symmetric counterpart. All models require strictly positive targets. The epsilon-SVR models are solved via a built-in sequential minimal optimization (SMO) algorithm (with 'osqp' available as an optional alternative backend) and the LS-SVR models via a linear system (base R). See Benavides-Herrera et al. (2026) <doi:10.3390/math14101679> for the mathematical derivations.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: dials, Matrix, parsnip, Rcpp (>= 1.0.10), rlang, scales, stats, tune, utils, workflowsets
LinkingTo: Rcpp
Suggests: dplyr, ggplot2, knitr, osqp, recipes, rmarkdown, rsample, testthat (>= 3.0.0), tibble, workflows, yardstick
VignetteBuilder: knitr
URL: https://pbenavidesh.github.io/psvr/
NeedsCompilation: yes
Packaged: 2026-09-14 19:56:47 UTC; behep
Author: Pablo Benavides-Herrera [aut, cre]
Maintainer: Pablo Benavides-Herrera <pbenavides@iteso.mx>
Repository: CRAN
Date/Publication: 2026-09-24 14:40:08 UTC

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New package funresMech with initial version 1.0.4
Package: funresMech
Title: Mechanistic Functional Response Analysis
Version: 1.0.4
Description: Implements the mechanistic functional response model proposed by Okuyama (2012) <doi:10.1016/j.biocontrol.2011.10.008> for host-parasitoid systems. Provides tools for model fitting, likelihood profiling, stochastic simulation, and visualization of parasitism distributions. Includes an interactive 'shiny' application for complete analysis workflows, built with 'plotly' for interactive graphics and 'rmarkdown' for reproducible reports.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: DEoptim, dplyr, future, ggplot2 (>= 3.4.0), magrittr, parallel, plotly, rlang, rmarkdown, shiny, shinyBS, shinythemes, stats, utils
Suggests: kableExtra, knitr, testthat (>= 3.0.0)
URL: https://github.com/Segon03/funresMech
BugReports: https://github.com/Segon03/funresMech/issues
NeedsCompilation: no
Packaged: 2026-09-15 03:38:09 UTC; Equipo
Author: Segundo Nunez-Campero [aut, cre]
Maintainer: Segundo Nunez-Campero <segundo.nc@conicet.gov.ar>
Repository: CRAN
Date/Publication: 2026-09-24 14:50:02 UTC

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New package foundryR with initial version 0.1.0
Package: foundryR
Title: Data Frame Workflows for 'Microsoft Foundry'
Version: 0.1.0
Description: Work with 'Microsoft Azure AI Foundry' from data-frame-oriented 'R' workflows. Provides data-frame-returning helpers for 'Azure AI Content Safety', 'Azure OpenAI' Responses API calls, strict structured extraction, vector representations, files, batch jobs, audio, media, and chat completions. Supports research annotation, safety gates, semantic search, and 'tidymodels' recipes. Helps teams keep model workflows inside their 'Azure' environment while preserving analyzable outputs. See the Microsoft Foundry REST API documentation <https://learn.microsoft.com/rest/api/microsoft-foundry/> and Azure AI Content Safety documentation <https://learn.microsoft.com/azure/ai-services/content-safety/>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
URL: https://github.com/farach/foundryR, https://farach.github.io/foundryR/
BugReports: https://github.com/farach/foundryR/issues
Encoding: UTF-8
Imports: cli, curl, digest, dplyr, generics, httr2 (>= 1.0.0), jsonlite, lifecycle, magrittr, purrr, rlang, tibble
Suggests: AzureAuth, base64enc, ellmer, ggplot2, gt, httptest2, irlba, irr, janeaustenr, knitr, recipes, rmarkdown, S7, testthat (>= 3.0.0), tidymodels, tidyr, withr, yardstick
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-14 01:20:09 UTC; runner
Author: Alex Farach [aut, cre, cph]
Maintainer: Alex Farach <alexfarach@microsoft.com>
Repository: CRAN
Date/Publication: 2026-09-24 14:40:16 UTC

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New package CAbiplot with initial version 0.1.0
Package: CAbiplot
Title: Correspondence Analysis Biplots and Diagnostic Reports
Version: 0.1.0
Description: A convenience wrapper around 'FactoMineR' and 'factoextra' for running Correspondence Analysis (CA) on a numeric data table (e.g. a genotype-by-trait or contingency-style matrix) and producing a full set of publication-ready diagnostic plots: scree plot, symmetric biplot, row-only and column-only plots, row/column contribution plots, and row/column cos2 (quality-of-representation) plots. A single top-level function runs the whole pipeline, prints formatted result tables, and optionally saves every plot as a high-resolution image, mirroring a typical CA reporting workflow used in agronomy and plant-breeding studies. An example genotype-by-trait data set is included.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: FactoMineR, factoextra, ggplot2, gridExtra, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-15 07:00:02 UTC; iasri
Author: Prakash Kumar [aut, cre], Himadri Sekhar Roy [aut], Ranjit Kumar Paul [aut], Md. Yeasin [aut], Sunil Kumar Yadav [aut], Amrit Kumar Paul [aut]
Maintainer: Prakash Kumar <prakash289111@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 15:00:08 UTC

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New package blueycolors with initial version 0.2.2
Package: blueycolors
Title: Provides 'Bluey' Inspired Color Palettes
Version: 0.2.2
Description: Provides 'Bluey'-inspired color palettes and 'ggplot2' scales.
License: MIT + file LICENSE
URL: https://github.com/ekholme/blueycolors, https://ekholme.github.io/blueycolors/
BugReports: https://github.com/ekholme/blueycolors/issues
Encoding: UTF-8
Imports: ggplot2, grDevices
Suggests: scales, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-14 17:34:43 UTC; ekholme
Author: Eric Ekholm [aut, cre, cph]
Maintainer: Eric Ekholm <eric.ekholm@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 14:40:26 UTC

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New package ZooRisk with initial version 1.0.0
Package: ZooRisk
Title: Quantitative Assessment of Zoonotic Disease Risk
Version: 1.0.0
Description: Provides quantitative tools for assessing zoonotic disease risk across animal, human, environmental, and transmission interfaces. The package supports exposure and transmission risk estimation, spillover risk assessment, risk scoring, cross-species comparison, transmission-network analysis, Monte Carlo uncertainty simulation, and sensitivity analysis. The One Health framework underlying these assessments is described by World Health Organization, Food and Agriculture Organization of the United Nations, United Nations Environment Programme, and World Organisation for Animal Health (2022) <doi:10.4060/cc2289en>.
License: MIT + file LICENSE
URL: https://github.com/vinodhpmd/ZooRisk
BugReports: https://github.com/vinodhpmd/ZooRisk/issues
Encoding: UTF-8
Suggests: igraph, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-14 16:48:26 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 13:50:18 UTC

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New package xaiHydro with initial version 0.1.0
Package: xaiHydro
Title: Explainable AI Tools for Hydro-Climate Modelling
Version: 0.1.0
Date: 2026-09-09
Description: Provides a unified workflow for applying Explainable Artificial Intelligence (XAI) methods to hydro-climate predictive models. Functions implement a permutation-based Monte Carlo SHAP estimator (Strumbelj and Kononenko (2014) <doi:10.1007/s10115-013-0679-x>; Lundberg and Lee (2017) <doi:10.48550/arXiv.1705.07874>), a self-contained locally weighted linear surrogate LIME (Ribeiro et al. (2016) <doi:10.1145/2939672.2939778>), and Partial Dependence Plots with Accumulated Local Effects (Friedman (2001) <doi:10.1214/aos/1013203451>; Apley and Zhu (2020) <doi:10.1111/rssb.12377>) with hydrology-specific visualisations and interpretation utilities. Supports any model object compatible with the 'DALEX' explainer interface (Biecek (2018) <doi:10.18637/jss.v097.i01>), including random forests, gradient boosting, and neural networks trained on streamflow, drought indices, flood risk, or evapotranspiration data. Hydrology-standard performance metrics Nash-Sutcl [...truncated...]
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Depends: R (>= 4.1.0)
Imports: DALEX (>= 2.4.0), ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), tidyr (>= 1.3.0), patchwork (>= 1.2.0), cli (>= 3.6.0), rlang (>= 1.1.0)
Suggests: randomForest (>= 4.7.0), xgboost (>= 1.7.0), ranger (>= 0.16.0), testthat (>= 3.0.0), knitr (>= 1.45), rmarkdown (>= 2.25)
VignetteBuilder: knitr
Packaged: 2026-09-13 10:09:33 UTC; Admin
Author: Sadikul Islam [aut, cre] , Shakir Ali [aut], Rajesh Kaushal [aut]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 13:30:02 UTC

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New package uqsa with initial version 0.8.0
Package: uqsa
Title: Uncertainty Quantification and Global Sensitivity Analysis
Version: 0.8.0
Description: In the field of systems biology, chemical reaction networks are modeled in various ways, two of those are: (i) stochastic simulations (e.g. Gillespie algorithm) and (ii) ordinary differential equations. In this package we use a simple tabular model description of reaction systems and automatically generate C code for either solver type. We use the ordinary differential equation solvers from the GNU Scientific Library and provide an interface that deals with lists of simulation experiments. Each simulation experiment contains both the data, and instructions for the model to replicate the data. We use approximate Bayesian computation methods (combined with Markov chain Monte Carlo and sequential Monte Carlo, particle filters) as well as classic methods such as Random Walk Metropolis (Gaussian transition kernel) and Simplified Manifold Metropolis adjusted Langevin algorithm for a Bayesian investigation of the model´s parameter space. Experiments can be evaluated in a sequence; intermediat [...truncated...]
Language: en-US
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, methods, parallel, Ryacas, VineCopula, MASS, errors, mvtnorm, digest, colorspace, pracma, cli
Suggests: ks, remotes, pbdMPI, ggplot2, testthat (>= 3.0.0), knitr, rmarkdown, hexbin
SystemRequirements: GSL (>= 2.7)
VignetteBuilder: knitr
URL: https://icpm-kth.github.io/uqsa/
NeedsCompilation: yes
Packaged: 2026-09-14 16:44:28 UTC; andreikr
Author: Alexandra Jauhiainen [aut], Olivia Eriksson [aut, ctb, cph], Federica Milinanni [aut], Andrei Kramer [cre]
Maintainer: Andrei Kramer <andreikr@kth.se>
Repository: CRAN
Date/Publication: 2026-09-24 13:50:02 UTC

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New package rsmart with initial version 0.1.0
Package: rsmart
Title: Sequential Multiple Assignment Randomized Trials Design and Analyses
Version: 0.1.0
Description: Implements the interim augmented inverse probability weighted estimator (IAIPWE) for estimating the value of treatment regimes embedded in sequential multiple assignment randomized trials (SMARTs). The IAIPWE subsumes both the inverse probability weighted estimator (IPWE) and the augmented inverse probability weighted estimator (AIPWE), enabling inference at interim and final analyses. The package provides functions for value estimation, sandwich variance computation, group sequential stopping boundaries, and sample size determination for multi-stage SMARTs with up to two treatment options at each stage. See Manschot, Laber, and Davidian (2023) <doi:10.1111/biom.13854> for additional details.
License: GPL (>= 3)
URL: https://MSDLLCpapers.github.io/rsmart/, https://github.com/MSDLLCpapers/rsmart, https://msdllcpapers.github.io/rsmart/
BugReports: https://github.com/MSDLLCpapers/rsmart/issues
Encoding: UTF-8
Suggests: dplyr, knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
Imports: data.table, doFuture, foreach, Matrix, MASS, modelObj, mvtnorm, stats
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-14 14:37:41 UTC; manschoc
Author: Cole Manschot [aut, cre], Tabitha Peter [ctb], Gabriela Piasecki [ctb], Laura Frederick [ctb]
Maintainer: Cole Manschot <cole.manschot@msd.com>
Repository: CRAN
Date/Publication: 2026-09-24 13:40:02 UTC

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New package riskweightedassets with initial version 1.1.1
Package: riskweightedassets
Title: Reproducible Risk-Weighted Asset Calculations
Version: 1.1.1
Description: Provides transparent, deterministic and auditable calculations of risk-weighted assets, own-funds requirements, interest-rate risk in the banking book and related capital metrics. It supports canonical in-memory tables and versioned spreadsheet datasets, strict validation, synthetic reference profiles, bitemporal snapshots, calculation controls and traceable regulatory source metadata. Methods are parameterised against the European Parliament and Council (2013) Capital Requirements Regulation <https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32013R0575> and its amending Regulation (EU) 2024/1623 <https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1623>. A granular analyst API exposes individual formulae, domain views, controls, schemas and auditable parameter overrides. The implementation is intended for analytical, educational and model-validation use and does not constitute legal or supervisory advice.
License: GPL-3
Copyright: 2026 RiskDataScience GmbH
URL: https://github.com/rds0001/risk-weighted-assets-r
BugReports: https://github.com/rds0001/risk-weighted-assets-r/issues
Encoding: UTF-8
Date: 2026-09-14
Depends: R (>= 4.1.0)
Imports: digest, jsonlite, openxlsx, readxl, utils, yaml
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-14 16:20:54 UTC; qwert123
Author: Dimitrios Geromichalos [cre], RiskDataScience GmbH [aut, cph]
Maintainer: Dimitrios Geromichalos <riskdatascience@web.de>
Repository: CRAN
Date/Publication: 2026-09-24 13:50:10 UTC

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New package regstat with initial version 0.1.0
Package: regstat
Title: An Exact Test for a Change in Covariance (Dependence) Structure
Version: 0.1.0
Description: An exact finite-sample test for whether two groups share a covariance matrix, the omnibus form of the differential-network question. Under the Gaussian null the likelihood-ratio statistic has a distribution given by the real Jacobi ensemble that is free of the unknown common covariance, so a single Monte-Carlo calibration at the identity serves every covariance with no estimate of the nuisance covariance; this is the property that survives the dimension barrier, where estimating the covariance is hardest. The max-type high-dimensional test of Cai, Liu and Xia (2013) <doi:10.1080/01621459.2012.758041> is provided for comparison. A pure-C back-end does the numerics and also backs the 'Python' package 'regstat'.
URL: https://github.com/mtloots/regstat
BugReports: https://github.com/mtloots/regstat/issues
License: GPL-3
Encoding: UTF-8
Imports: stats
NeedsCompilation: yes
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Packaged: 2026-09-14 15:44:51 UTC; home
Author: M. Theodor Loots [aut, cre]
Maintainer: M. Theodor Loots <theo.loots@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 13:40:09 UTC

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New package plasmidplot with initial version 0.1.0
Package: plasmidplot
Title: Publication-Quality Circular and Linear Plasmid Maps
Version: 0.1.0
Description: Draws circular and linear plasmid maps with 'grid' graphics. Features are shown as colored arcs with optional arrowheads, callout labels that are laid out to avoid overlap, an automatic base-pair scale, and the plasmid name and size. A style is built from a handful of shape parameters, with presets as named combinations of them, and the layout follows the molecule's topology. Maps can be built up feature by feature or imported from 'GenBank', 'EMBL', 'FASTA' and 'SnapGene' files, whose format is detected from content rather than file extension. Restriction sites can be located in the sequence and labeled. Ships eight visual styles, including one inspired by the 'AngularPlasmid' JavaScript library, and seven categorical palettes checked for colorblind safety. Palettes from other packages can be used directly, as a color vector or as a palette function, and checked against the same criteria.
License: MIT + file LICENSE
URL: https://github.com/dkturingfz/plasmidplot
BugReports: https://github.com/dkturingfz/plasmidplot/issues
Encoding: UTF-8
Imports: grDevices, grid, tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-14 09:44:14 UTC; church
Author: Qiyou Pan [aut, cre]
Maintainer: Qiyou Pan <dkturingfz@outlook.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-09-24 13:30:09 UTC

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New package pacha with initial version 0.1.1
Package: pacha
Title: Reproducible Reporting for ChecklistBank Ethnobotanical Data
Version: 0.1.1
Description: Provides programmatic access to the 'Listado de plantas de uso y aprovechamiento sostenible en Ecuador' <doi:10.48580/dgvrn>. Acts as a client for the 'ChecklistBank' API and for processing 'ColDP' (Catalogue of Life Data Package) files. Supports data retrieval for ethnobotanical records and includes built-in Markdown report generation for reproducible workflows.
License: GPL (>= 3)
Language: en-US
URL: https://github.com/envinatu/pacha
BugReports: https://github.com/envinatu/pacha/issues
Imports: httr2, stats, tools, utils, yaml
Suggests: knitr, quarto, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-14 17:26:51 UTC; PC
Author: Marcelo F. Amores-Palma [aut, cre, cph]
Maintainer: Marcelo F. Amores-Palma <contacto.envinatu@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 14:00:02 UTC

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New package nlmixr2scm with initial version 0.4
Package: nlmixr2scm
Title: Stepwise Covariate Modeling for 'nlmixr2' Models
Version: 0.4
Description: Stepwise covariate modeling (SCM) for nonlinear mixed-effects models fitted with 'nlmixr2'. Forward inclusion and backward elimination are driven by likelihood-ratio tests, and the covariate terms are generated inside the model body, so continuous covariates are centered and categorical covariates expanded into indicator columns without editing the model by hand. Candidate fits can be cached and resumed, fitted in parallel, and reviewed through per-step and all-candidate summary tables. The approach follows Jonsson and Karlsson (1998) <doi:10.1023/A:1011970125687>, and the implementation in 'Perl-speaks-NONMEM' described by Lindbom, Ribbing and Jonsson (2004) <doi:10.1016/j.cmpb.2003.11.003>.
Depends: R (>= 4.1)
License: GPL (>= 3)
URL: https://github.com/nlmixr2/nlmixr2scm
BugReports: https://github.com/nlmixr2/nlmixr2scm/issues
Imports: checkmate, cli (>= 3.4.0), data.table, lotri, nlme, nlmixr2est (>= 7.0.0), nlmixr2utils (>= 0.3), rxode2 (>= 5.0.0), stats, tools, utils
Suggests: future, knitr, nlmixr2data, pkgload, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-14 09:38:51 UTC; justin
Author: Justin Wilkins [aut, cre, cph] , Matthew Fidler [aut] , Yaping Liu [aut] , Bill Denney [aut] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb]
Maintainer: Justin Wilkins <justin.wilkins@occams.com>
Repository: CRAN
Date/Publication: 2026-09-24 13:30:14 UTC

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New package gdam with initial version 0.0.1
Package: gdam
Title: Fast Robust Additive Models using Gamma Divergence
Version: 0.0.1
Date: 2026-09-10
Description: Provides a computationally efficient method (at least at the time of development!) for robust additive modeling based on the gamma divergence, implementing the methodology of Hui, Ding, and Sugasawa (2026) <doi:10.1007/s11222-026-10960-3>. The method assumes an identity link and normally distributed errors, and applies the gamma divergence to the resulting restricted maximum likelihood function so as to obtain a loss function that is less sensitive to outlying responses. Because 'gdam' uses a model fitted via the 'mgcv' package as the starting point for optimization, and leverages many of its existing techniques for estimation and inference, users can take advantage of many of the smoothing options available in the 'mgcv' package for constructing additive models.
Maintainer: Francis KC Hui <fhui28@gmail.com>
License: GPL (>= 3)
Encoding: UTF-8
Imports: colorspace, ggplot2, gratia, Matrix, mgcv, stats
Suggests: spelling, tidyverse
Language: en-US
URL: https://github.com/fhui28/gdam
BugReports: https://github.com/fhui28/gdam/issues
NeedsCompilation: no
Packaged: 2026-09-14 09:46:04 UTC; fkch
Author: Francis KC Hui [aut, cre] , Shonosuke Sugasawa [ctb]
Repository: CRAN
Date/Publication: 2026-09-24 13:30:20 UTC

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New package FIAstemmap with initial version 2.0.0
Package: FIAstemmap
Title: Tree Canopy Modeling for USDA Forest Inventory and Analysis Plots
Version: 2.0.0
Description: Maps individual tree stem locations on field plots of the Forest Inventory and Analysis Program of USDA Forest Service (<https://research.fs.usda.gov/programs/nfi>). Stem locations are mapped in cartesian coordinate space based on field-measured distance and azimuth from subplot and microplot centers. Per-tree crown widths are estimated using a curated set of allometric equations with coverage for the conterminous US. Spatial descriptors of tree point pattern are computed at the whole plot level. Several stand height metrics are also computed and provided in the output. The spatial representation of modeled tree crowns is used to generate estimates of fractional tree canopy cover at the microplot, subplot and whole plot levels. Convenience functions are provided for efficient data processing. Exploratory data analysis is also facilitated via integration with the 'spatstat' packages.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: bit64, cli, gdalraster (>= 2.5.0), grDevices, methods, spatstat.explore, spatstat.geom, stats
Suggests: glue (>= 1.6.0), spelling, testthat (>= 3.0.0), vctrs (>= 0.3.0)
URL: https://firelab.github.io/FIAstemmap/, https://github.com/firelab/FIAstemmap
BugReports: https://github.com/firelab/FIAstemmap/issues
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-14 18:04:43 UTC; ctoney
Author: Chris Toney [aut, cre]
Maintainer: Chris Toney <jctoney@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 14:00:15 UTC

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New package bioIOT with initial version 0.2.2
Package: bioIOT
Title: Inverse Optimal Transport for Single-Cell Trajectory Analysis
Version: 0.2.2
Description: Semi-relaxed inverse optimal transport (IOT) for single-cell state-transition and pseudotime analysis: a self-contained R solver (Anderson-accelerated soft Sinkhorn with exact implicit gradients), feature-weight fitting with a two-stage bias-corrected refit and multi-restart, state transition matrices, random-walk pseudotime, 'ggplot2' visualisation, soft-gated 'Seurat' and 'SingleCellExperiment' interfaces, reproducible simulated demo data, and bulk-cohort pathway scoring utilities.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: utils, ggplot2
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, SingleCellExperiment, Seurat, SummarizedExperiment, S4Vectors
URL: https://github.com/XTSgreen/bioIOT-R
BugReports: https://github.com/XTSgreen/bioIOT-R/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-14 15:40:40 UTC; XTS-green
Author: Han Dong [aut, cre]
Maintainer: Han Dong <dh411424@163.com>
Repository: CRAN
Date/Publication: 2026-09-24 13:40:24 UTC

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New package rapsimng.lupin with initial version 0.1.0
Package: rapsimng.lupin
Title: Crop-Specific Functions and Parameters for APSIM Next Generation Lupin Model
Version: 0.1.0
Description: Provides lupin-specific functions, processes and parameter sets used by lupin model in the Agricultural Production Systems sIMulator ('APSIM') Next Generation. Includes tools for crop process calculations, parameter management and customisation, enabling users to explore, modify and apply lupin model components.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: optree (>= 0.1.1), tidyweather (>= 0.3.0)
Suggests: testthat (>= 3.0.0)
URL: https://lupin.rapsimng.bangyou.me/, https://github.com/byzheng/rapsimng.lupin
BugReports: https://github.com/byzheng/rapsimng.lupin/issues
NeedsCompilation: no
Packaged: 2026-09-14 08:06:25 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 05:30:02 UTC

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New package depguard with initial version 0.1.0
Package: depguard
Title: Manifest-Based Dependency Conflict Detection for Sandboxed R Sessions
Version: 0.1.0
Description: Provides lightweight, manifest-based checking of R package dependencies (including transitive dependencies) against the currently installed environment, without requiring a full project lockfile. Designed for sandboxed or ephemeral notebook environments (e.g. Kaggle, Colab, Binder) where 'renv'-style lockfile ownership is impractical. Includes session snapshot/diff tools (building on 'sessioninfo') to detect when an install silently changes the version of a package that is already loaded, and optional single-package version rollback.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: tools, utils, sessioninfo, cli
Suggests: remotes, pak, testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://github.com/sunraycodes/depguard
BugReports: https://github.com/sunraycodes/depguard/issues
NeedsCompilation: no
Packaged: 2026-09-14 06:59:13 UTC; Kartik
Author: Samruddhi Amol Shah [aut, cre], Kartik Patel [aut], Amrit Pal [ctb]
Maintainer: Samruddhi Amol Shah <samruddhi.bitnbyte@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 05:20:02 UTC

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New package RserveTS with initial version 0.8.3
Package: RserveTS
Title: Typed Application Contracts for 'Rserve'
Version: 0.8.3
Description: Defines a typed application contract between R backends and 'TypeScript' clients over 'Rserve'. Users specify the API architecture with typed object capability (Ocap) functions and compile matching 'TypeScript' schemas and deployment scripts for the server. The companion library 'rserve-ts', available on npm <https://www.npmjs.com/package/rserve-ts>, provides the client-side runtime that consumes those schemas.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0), objectProperties, objectSignals
Imports: methods, rlang, Rserve, stats
Suggests: testthat (>= 3.0.0), withr
URL: https://tomelliott.co.nz/RserveTS/, https://github.com/tmelliott/RserveTS
BugReports: https://github.com/tmelliott/RserveTS/issues
NeedsCompilation: no
Packaged: 2026-09-14 03:40:29 UTC; tom
Author: Tom Elliott [aut, cre]
Maintainer: Tom Elliott <tom@inzight.co.nz>
Repository: CRAN
Date/Publication: 2026-09-24 04:40:02 UTC

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New package rapsimng.wheat with initial version 0.1.0
Package: rapsimng.wheat
Title: Crop-Specific Functions and Parameters for APSIM Next Generation Wheat Model
Version: 0.1.0
Description: Provides wheat-specific functions, processes and parameter sets used by wheat model in the Agricultural Production Systems sIMulator ('APSIM') Next Generation. Includes tools for crop process calculations, parameter management and customisation, enabling users to explore, modify and apply wheat model components.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: optree, tidyweather
Suggests: testthat (>= 3.0.0)
URL: https://wheat.rapsimng.bangyou.me/, https://github.com/byzheng/rapsimng.wheat
BugReports: https://github.com/byzheng/rapsimng.wheat/issues
NeedsCompilation: no
Packaged: 2026-09-14 05:16:34 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 05:00:02 UTC

More information about rapsimng.wheat at CRAN
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New package rapsimng.lentil with initial version 0.1.0
Package: rapsimng.lentil
Title: Crop-Specific Functions and Parameters for APSIM Next Generation Lentil Model
Version: 0.1.0
Description: Provides lentil-specific functions, processes and parameter sets used by lentil model in the Agricultural Production Systems sIMulator ('APSIM') Next Generation. Includes tools for crop process calculations, parameter management and customisation, enabling users to explore, modify and apply lentil model components.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: optree (>= 0.1.1), tidyweather (>= 0.3.0)
Suggests: testthat (>= 3.0.0)
URL: https://lentil.rapsimng.bangyou.me/, https://github.com/byzheng/rapsimng.lentil
BugReports: https://github.com/byzheng/rapsimng.lentil/issues
NeedsCompilation: no
Packaged: 2026-09-14 05:20:20 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 05:00:08 UTC

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New package rapsimng.fababean with initial version 0.1.0
Package: rapsimng.fababean
Title: Crop-Specific Functions and Parameters for APSIM Next Generation Fababean Model
Version: 0.1.0
Description: Provides fababean-specific functions, processes and parameter sets used by fababean model in the Agricultural Production Systems sIMulator ('APSIM') Next Generation. Includes tools for crop process calculations, parameter management and customisation, enabling users to explore, modify and apply fababean model components.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: optree, tidyweather (>= 0.3.0)
Suggests: testthat (>= 3.0.0)
URL: https://fababean.rapsimng.bangyou.me/, https://github.com/byzheng/rapsimng.fababean
BugReports: https://github.com/byzheng/rapsimng.fababean/issues
NeedsCompilation: no
Packaged: 2026-09-14 05:22:07 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 05:00:14 UTC

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New package rapsimng.chickpea with initial version 0.1.0
Package: rapsimng.chickpea
Title: Crop-Specific Functions and Parameters for APSIM Next Generation Chickpea Model
Version: 0.1.0
Description: Provides chickpea-specific functions, processes and parameter sets used by chickpea model in the Agricultural Production Systems sIMulator ('APSIM') Next Generation. Includes tools for crop process calculations, parameter management and customisation, enabling users to explore, modify and apply chickpea model components.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: optree, tidyweather (>= 0.3.0)
Suggests: testthat (>= 3.0.0)
URL: https://chickpea.rapsimng.bangyou.me/, https://github.com/byzheng/rapsimng.chickpea
BugReports: https://github.com/byzheng/rapsimng.chickpea/issues
NeedsCompilation: no
Packaged: 2026-09-14 05:24:15 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 05:00:19 UTC

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New package rapsimng.canola with initial version 0.1.0
Package: rapsimng.canola
Title: Crop-Specific Functions and Parameters for APSIM Next Generation Canola Model
Version: 0.1.0
Description: Provides canola-specific functions, processes and parameter sets used by canola model in the Agricultural Production Systems sIMulator ('APSIM') Next Generation. Includes tools for crop process calculations, parameter management and customisation, enabling users to explore, modify and apply canola model components.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: optree, tidyweather
Suggests: testthat (>= 3.0.0)
URL: https://canola.rapsimng.bangyou.me/, https://github.com/byzheng/rapsimng.canola
BugReports: https://github.com/byzheng/rapsimng.canola/issues
NeedsCompilation: no
Packaged: 2026-09-14 05:26:29 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 05:00:25 UTC

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New package genoaligner with initial version 1.0.0
Package: genoaligner
Title: GPU-Portable Pairwise Sequence Alignment (WFA + Smith-Waterman)
Version: 1.0.0
Description: Pairwise sequence alignment from one portable C++17 core: edit-distance (Levenshtein / WFA-equivalent) and Smith-Waterman local alignment, both with score and CIGAR reconstruction. The core builds and runs anywhere (it is the CPU backend, so it needs no GPU toolchain); the wavefront/GPU backend (ROCm/CUDA) computes the same results with acceleration and is tracked in the sibling C++ repository. A batch API aligns many pairs in one call and reports how many were resolved, so silent under-serving is impossible. Designed to slot into data.frame/tibble pipelines.
URL: https://github.com/alrobles/genoaligner-r, https://alrobles.github.io/genoaligner-r/
BugReports: https://github.com/alrobles/genoaligner-r/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-09-13 20:33:24 UTC; alrobles
Author: Angel Robles-Fernandez [aut, cre]
Maintainer: Angel Robles-Fernandez <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 04:20:02 UTC

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New package gcemod with initial version 0.3.0
Package: gcemod
Title: Generalized Competing Event Models with Lunn-McNeil Testing
Version: 0.3.0
Date: 2026-09-02
Description: Fits generalized competing event (GCE) models and estimates covariate effects on omega-plus, the ratio of the hazard for an event of interest to the hazard for a competing event, on both the cause-specific (Cox) and subdistribution (Fine-Gray) hazard scales. Confidence intervals and p-values are obtained from the Lunn-McNeil (1995) stacked (augmented) data approach. The package builds GCE risk scores from the model linear predictor, identifies risk-score cutpoints that maximize the separation in omega-plus between groups, and produces cumulative incidence ("alligator") plots by risk group and calibration plots of predicted versus observed omega-plus. It also compares covariate effects across the primary, competing, and total (composite) events, and estimates covariate effects on the ratio of cumulative incidence functions (a cumulative-incidence-scale GCE model). Methods follow Carmona et al. (2014) <doi:10.1016/j.ijrobp.2014.03.047>, Mell et al. (2024) <doi:10.1016/j.eururo.2 [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5.0)
Imports: survival, cmprsk, ggplot2 (>= 3.5.2), patchwork, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-03 00:37:58 UTC; lorenmell
Author: Loren Mell [aut, cre]
Maintainer: Loren Mell <lmell@ucsd.edu>
Repository: CRAN
Date/Publication: 2026-09-24 04:20:07 UTC

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Wed, 23 Sep 2026

New package funHMM with initial version 0.1.0
Package: funHMM
Title: Hidden Markov Models for Functional Data
Version: 0.1.0
Description: Fits hidden Markov models to time-ordered sequences of curves, such as sample paths of stochastic processes or smoothed functional observations, without projecting the curves onto a finite basis. The emission functions are Onsager-Machlup functionals of Gaussian measures on function spaces, which allows for Brownian motion with drift, fractional Brownian motion, Ornstein-Uhlenbeck processes and non-parametric state means under a choice of Cameron-Martin norm. The Baum-Welch and Viterbi algorithms are implemented in C. Methods are described in Kashlak, Loliencar and Heo (2023) <https://jmlr.org/papers/v24/22-0685.html>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, grDevices
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-11 17:42:01 UTC; adam
Author: Adam B Kashlak [aut, cre]
Maintainer: Adam B Kashlak <kashlak@ualberta.ca>
Repository: CRAN
Date/Publication: 2026-09-24 04:00:02 UTC

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New package shinyreact with initial version 0.1.0
Package: shinyreact
Title: Client-Side 'React' Interface for 'Shiny'
Version: 0.1.0
Description: Server-side plumbing for the 'ui.tsx' pattern in 'Shiny': the user interface is defined in a client 'React' (<https://react.dev/>) bundle, and the 'Shiny' server contains only reactive computation. Provides page builders that discover and serve the client bundle, a render function that publishes any JSON-serializable value to the client, and custom messages to 'React' components. Ships no user interface components, so the app author owns the whole front end. The 'React' runtime and the client hooks are bundled, so no JavaScript build step is required to get started.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/shinyreact/r/, https://github.com/posit-dev/shinyreact
BugReports: https://github.com/posit-dev/shinyreact/issues
Imports: brio, cli, htmltools, jsonlite, rlang, shiny (>= 1.13.0), utils
Suggests: knitr, later, rmarkdown, shinytest2, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-13 14:22:17 UTC; barret
Author: Barret Schloerke [cre, aut] , Winston Chang [ctb] , Garrick Aden-Buie [ctb] , Carson Sievert [ctb] , Posit Software, PBC [cph, fnd] , Meta Platforms, Inc. [cph]
Maintainer: Barret Schloerke <barret@posit.co>
Repository: CRAN
Date/Publication: 2026-09-23 04:20:02 UTC

More information about shinyreact at CRAN
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New package HRRI with initial version 1.0.6
Package: HRRI
Title: Diagnostics for Soil-Plant-Microbial Redox Recovery
Version: 1.0.6
Date: 2026-09-12
Description: Provides diagnostic functions for integrating longitudinal soil, plant and microbial observations during redox disturbance and recovery. Functions calculate stoichiometric potential oxygen demand, accessible electron capacity from explicitly supplied inventories and kinetic parameters, recovery signatures, fixed-reference domain scores, and exploratory multiblock scores with observation-coverage diagnostics. Memory is represented as a holobiont state accumulating from mineralogical, plant-acclimation and microbial-community legacies. An illustrative simulator produces closed Fe and Mn inventories alongside synthetic observations; its carbon, nitrogen, sulfur and oxygen budgets are not closed and its parameters are not calibrated to field rates. Simulation benchmarks assess agreement with a prescribed synthetic target and do not constitute empirical validation or parameter identification. Accuracy assessment is cluster-aware: intervals come from resampling whole trajectories, agreement [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: ggplot2 (>= 3.4.0), graphics, grid, igraph (>= 1.5.0), rlang (>= 1.1.0), stats, utils, tidyr, tidyselect
Suggests: ggtern (>= 3.4.0), knitr, patchwork (>= 1.2.0), psych, rmarkdown, testthat (>= 3.0.0), viridis
VignetteBuilder: knitr
URL: https://github.com/mghotbi/HRRI, https://mghotbi.github.io/HRRI/
BugReports: https://github.com/mghotbi/HRRI/issues
NeedsCompilation: no
Packaged: 2026-09-13 14:45:59 UTC; mitraghotbi
Author: Mitra Ghotbi [aut, cre] , Marjan Ghotbi [ctb]
Maintainer: Mitra Ghotbi <mitra.ghotbi@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-23 04:30:02 UTC

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Tue, 22 Sep 2026

New package visATC with initial version 1.0.0
Package: visATC
Title: Visualise the Anatomical Therapeutic Chemical (ATC) Hierarchy
Version: 1.0.0
Description: Visualisation and subsetting of the World Health Organisation Anatomical Therapeutic Chemical (ATC) classification system.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: tidyr, dplyr, rlang, igraph, methods, plotly, graphlayouts
Suggests: knitr, rmarkdown
Depends: R (>= 4.1.0)
URL: https://jnm212.github.io/visATC/
NeedsCompilation: no
Packaged: 2026-09-13 09:47:55 UTC; jmatt
Author: J Matthews [aut, cre, cph]
Maintainer: J Matthews <jnmatt212@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-23 04:00:02 UTC

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New package semeqmodels with initial version 0.1.0
Package: semeqmodels
Title: Equivalent Models in Structural Equation Models
Version: 0.1.0
Description: For identifying the sets of empirically equivalent models for structural equation models fitted by the 'lavaan' package developed by Rosseel (2012) <doi:10.18637/jss.v048.i02>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), dagitty
Imports: lavaan (>= 0.7.2), modelbpp (>= 0.4.0), digest, manymome (>= 0.3.7), igraph, semPlot, semptools (>= 0.4.0), RColorBrewer, cli
Depends: R (>= 4.1.0)
URL: https://sfcheung.github.io/semeqmodels/
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-13 04:52:57 UTC; shufa
Author: Shu Fai Cheung [aut, cre] , Borui Yang [aut] , Wenting Xu [aut] , Wendie Yang [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-23 03:50:02 UTC

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New package FSHybridPLS with initial version 0.1.0
Package: FSHybridPLS
Title: Hybrid Penalized Partial Least Squares for Mixed Data
Version: 0.1.0
Description: Fits Penalized Partial Least Squares (PLS) regression when predictors are hybrid objects that combine functional curves (infinite-dimensional 'fda' objects) and scalar covariates (finite-dimensional numeric matrices). The package treats a hybrid predictor as an element of a product Hilbert space formed by the functional and Euclidean components, and implements the arithmetic (addition, scalar multiplication, and inner products, including roughness-penalized inner products) needed to run penalized PLS directly in that space. The algorithm extracts latent components that maximize covariance with a scalar response while penalizing roughness of the estimated functional coefficient curves. Helpers are included for constructing hybrid predictors, two-step within- and between-modality normalization, train/test splitting, synthetic data generation, cross-validated component selection, and prediction. The method is described in Mun and Jang (2026) <doi:10.48550/arXiv.2601.16364>.
License: MIT + file LICENSE
URL: https://github.com/Jong-Min-Moon/FShybridPLS
BugReports: https://github.com/Jong-Min-Moon/FShybridPLS/issues
Imports: fda (>= 6.1.3), stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2026-09-13 07:46:25 UTC; jongmin
Author: Jongmin Mun [aut, cre, cph]
Maintainer: Jongmin Mun <jongmin.mun@marshall.usc.edu>
Repository: CRAN
Date/Publication: 2026-09-23 04:00:09 UTC

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New package DACT with initial version 0.1.2
Package: DACT
Version: 0.1.2
Title: Design and Analysis for Clinical Trials
Author: Ping Gao [aut, cre]
Maintainer: Ping Gao <support@innovatiostat.com>
Description: The applications and evaluation of the operating characteristics of many statistical methodologies require the use of sophisticated software or extensive simulations. 'DACT' is designed to serve a wide range of innovative statistical designs and analyses. The primary objective of the 'DACT' software is to promote the understanding and application of cutting-edge statistical solutions in clinical trials. For this reason, the software is free for non-commercial scientific research, including but not limited to academic researchers and research/teaching institutions. Computing codes are available upon request. For more details see P. Gao (2024) <doi:10.1080/10543406.2024.2341673>.
Depends: clinfun, mvtnorm, doParallel
License: MIT + file LICENSE
Encoding: UTF-8
Imports: foreach, dplyr, jsonlite
URL: https://github.com/innovatiostat/rcode
BugReports: https://github.com/innovatiostat/rcode/issues
NeedsCompilation: no
Packaged: 2026-09-13 02:55:24 UTC; chengboqin
Repository: CRAN
Date/Publication: 2026-09-23 03:40:02 UTC

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New package BasicStatsPlots with initial version 0.1.0
Package: BasicStatsPlots
Title: Publication-Ready Data Visualization and Simple Statistical Inference
Version: 0.1.0
Description: Creates publication-ready data visualizations using 'ggplot2', together with tools for common simple statistical analyses (confidence intervals, ANOVA, linear and generalized regression). The package provides common chart types and analyses with built-in validation, customization options, and publication-friendly themes.
License: GPL-3
Encoding: UTF-8
Imports: broom, broom.helpers (>= 1.20.0), car, checkmate, dplyr, ggplot2 (>= 4.0.0), ggridges, gt, gtsummary, lmtest, MASS, nortest, patchwork, pROC, RColorBrewer, rlang, scales, tibble, tidyr
NeedsCompilation: no
Packaged: 2026-09-13 02:43:29 UTC; carce
Author: Quentin Ricros [aut], Theo Roussel [aut], Cedrik Carriere [aut, cre], Bouchra Nasri [aut]
Maintainer: Cedrik Carriere <carced2009@live.ca>
Repository: CRAN
Date/Publication: 2026-09-23 03:30:13 UTC

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New package WSwavelet with initial version 0.1.0
Package: WSwavelet
Title: Bayesian Wavelet Denoising with Wendland-Semicircle Slab Mixture
Version: 0.1.0
Date: 2026-09-12
Maintainer: Nilotpal Sanyal <nsanyal@utep.edu>
Description: Bayesian wavelet denoising using a resolution-adaptive spike-and-slab prior whose continuous slab is a mixture of a compactly supported Wendland-type density and the semicircle density. The package provides Gaussian and Laplace working-likelihood versions, empirical-Bayes fitting of resolution-specific slab weights, robust noise-scale estimation, posterior-mean coefficient shrinkage, reconstruction by the inverse discrete wavelet transform, and diagnostic tools.
License: GPL-2 | GPL-3
URL: https://nilotpalsanyal.github.io/WSwavelet/
BugReports: https://github.com/nilotpalsanyal/WSwavelet/issues
Depends: R (>= 4.1.0)
Imports: wavethresh
Suggests: testthat (>= 3.0.0), knitr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Repository: CRAN
Packaged: 2026-09-12 20:51:20 UTC; nsanyal
Author: Nilotpal Sanyal [aut, cre]
Date/Publication: 2026-09-23 02:40:09 UTC

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New package qapproach with initial version 0.1.1
Package: qapproach
Title: The Q Approach to Consensus Building
Version: 0.1.1
Description: Implements a workflow based on Q method to support consensus-building processes. It prepares participant rankings, selects and fits group perspectives, calculates consensus priority scores, validates results by bootstrap resampling, and produces publication-ready figures. The underlying method is described by Geschke et al. (2022) "The Q approach to consensus building: integrating diverse perspectives to guide decision-making" <doi:10.32942/X2F59S>.
License: GPL-3
URL: https://doi.org/10.5281/zenodo.11518485
BugReports: https://github.com/JonasGeschke/qapproach/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: fmsb, igraph, qmethod, withr
Suggests: hues, knitr, magick, pdftools, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-12 20:10:10 UTC; geschke
Author: Jonas Geschke [aut, cre]
Maintainer: Jonas Geschke <hallo@qapproach.app>
Repository: CRAN
Date/Publication: 2026-09-23 02:50:02 UTC

More information about qapproach at CRAN
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New package panglm with initial version 1.1.4
Package: panglm
Title: Generalized Linear Models for Panel Data
Version: 1.1.4
Description: Provides generalized linear models for panel data, including pooled, fixed-effects, and random-effects estimators for continuous, binary, and count outcomes. Offers a unified interface for fitting and analysing panel regression models, with efficient computation for large datasets. Estimators and tests follow standard panel-data references, including Hausman (1978) <doi:10.2307/1913827>, Chamberlain (1980) <doi:10.2307/2297110>, Allison and Waterman (2002) <doi:10.1111/1467-9531.00117>, and Croissant and Millo (2008) <doi:10.18637/jss.v027.i02>. Core numerical routines are implemented using 'Rcpp', 'RcppArmadillo', and 'RcppParallel'.
License: MIT + file LICENSE
URL: https://CRAN.R-project.org/package=panglm, https://github.com/ielbadisy/panglm
BugReports: https://github.com/ielbadisy/panglm/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: Rcpp, data.table, graphics, stats
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat (>= 3.0.0), plm, pglm, fixest, sandwich, survival, MASS, AER, glmmTMB, lme4, pscl, generics, broom, knitr, rmarkdown
SystemRequirements: GNU make
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-09-12 16:25:58 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-22 07:10:02 UTC

More information about panglm at CRAN
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New package iod25 with initial version 1.0.0
Package: iod25
Title: English Indices of Deprivation (IoD25)
Version: 1.0.0
Description: Set of relative measures of deprivation for small areas (Lower-layer Super Output Areas) across England.
License: CC BY 4.0
URL: https://douglasmunro.github.io/iod25/
BugReports: https://github.com/douglasmunro/iod25/issues
Depends: R (>= 3.5)
Suggests: dplyr, knitr, rmarkdown, spelling, tibble
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-12 18:30:34 UTC; douglas
Author: Douglas Munro [aut, cre, cph]
Maintainer: Douglas Munro <douglas@douglasmunro.co.uk>
Repository: CRAN
Date/Publication: 2026-09-22 07:20:02 UTC

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New package EconEvalR with initial version 0.1.0
Package: EconEvalR
Title: Economic Evaluation Methods for Cost-Benefit, Partial Budgeting, and Cost-Effectiveness Analyses
Version: 0.1.0
Description: Provides functions for economic evaluation, including Cost-Benefit Analysis, Benefit-Cost Ratio, Net Present Value, Internal Rate of Return, Partial Budgeting, Budget Impact Analysis, Cost-Effectiveness Analysis, Decision Tree Analysis, One-Way, Two-Way, Multi-Way, and Probabilistic Sensitivity Analyses, Expected Value of Perfect Information, and Expected Value of Partial Perfect Information. The implemented methods are based on established approaches in economic evaluation and decision analysis; see Drummond et al. (2015, ISBN:9780199665884), Briggs et al. (2006, ISBN:9780198526629), Boardman et al. (2018, ISBN:9781108415996), and van Hout et al. (1994) <doi:10.1002/hec.4730030505>. The package produces summaries, graphical displays, and reproducible workflows for applications in veterinary science, agriculture, public health, epidemiology, health economics, and related fields.
License: MIT + file LICENSE
URL: https://github.com/vinodhpmd/EconEvalR
BugReports: https://github.com/vinodhpmd/EconEvalR/issues
Depends: R (>= 4.3.0)
Imports: cli (>= 3.6.2), mgcv
Suggests: covr, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-12 17:03:32 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-22 07:10:09 UTC

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New package Compositionalcln with initial version 1.0
Package: Compositionalcln
Title: Modelling Compositional Data with Zero Values
Version: 1.0
Date: 2026-09-12
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: graphics, grDevices, mziln, rangen, Rfast, stats
Suggests: Compositional, Rfast2
Description: Modelling structural zeros in compositional data using a conditional logistic normal model as described by Aitchison (1986), where MLE (Maximum Likelihood Estimation) is performed via the EM (Expectation-Maximization) algorithm. The relevant paper is Alzeley and Tsagris (2026) <doi:10.48550/arXiv.2608.29954>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-09-12 17:50:16 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-09-22 07:10:16 UTC

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New package zot with initial version 0.1.2
Package: zot
Version: 0.1.2
Title: Access 'Zotero' Libraries
Description: Interface to the 'Zotero' reference manager <https://www.zotero.org> through its public web API and local client database. Provides paginated reads, versioned writes, read-only local queries, batch plans and resumable ledgers, bibliographic comparison, metadata mapping, file attachment, and optional semantic-index queries.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://averriK.github.io/zot/
Depends: R (>= 4.1.0)
Imports: data.table, DBI, digest, httr2, jsonlite, RSQLite
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr, rmarkdown
SystemRequirements: Python 3 and zotero-mcp-server (optional, for ztSemantic())
NeedsCompilation: no
Packaged: 2026-09-12 11:49:05 UTC; averrik
Author: Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>
Repository: CRAN
Date/Publication: 2026-09-22 06:20:02 UTC

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New package sptrends with initial version 1.6.3
Package: sptrends
Title: Statistical Inference for Spatiotemporal Trends in Gridded Data
Version: 1.6.3
Language: en-GB
Description: Provides a unified and reproducible framework for statistical inference of spatiotemporal trends in gridded environmental data. The framework addresses the interconnected challenges of serial correlation, spatial dependence and multiple testing that commonly arise when analysing gridded environmental time series. Its core methods support serial-correlation treatment through trend-preserving prewhitening, pixel-wise and spatially explicit trend inference, slope estimation and multiple-testing correction. These methods may be applied independently or integrated within configurable analytical workflows. Dedicated workflows are also provided to reproduce methodologies published in the scientific literature: Gutiérrez-Hernández and García (2025) <doi:10.1016/j.rsase.2024.101377> for the True Significant Trends workflow, Gutiérrez-Hernández and García (2024) <doi:10.3390/rs16203886> for the Robust Trend Analysis workflow, and Gutiérrez-Hernández and García (2025) <doi:10.3390/ [...truncated...]
License: GPL (>= 3)
URL: https://github.com/Olive-r/sptrends, https://olive-r.github.io/sptrends/
BugReports: https://github.com/Olive-r/sptrends/issues
Depends: R (>= 4.1)
Imports: terra (>= 1.7-0), Matrix, parallel, stats, utils, graphics, grDevices, withr (>= 2.2.0)
Suggests: fields, testthat (>= 3.2.0), knitr, rmarkdown, ncdf4, Kendall, modifiedmk, rkt, robslopes, trend, zyp
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-12 16:07:28 UTC; olive
Author: Oliver Gutierrez-Hernandez [aut, cre] , Luis V. Garcia [aut] , Spanish National Research Council , Seville, Spain)
Maintainer: Oliver Gutierrez-Hernandez <olivergh@uma.es>
Repository: CRAN
Date/Publication: 2026-09-22 07:00:09 UTC

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New package lexsync with initial version 0.1.0
Package: lexsync
Title: Lexical Optimisation and Hardware-Timed Experiment Generation
Version: 0.1.0
Description: A cross-platform toolkit that unifies many-language lexical-corpus access, parallel multidimensional stimulus matching, deterministic pseudoword generation, counterbalancing and the automated generation of experiments from a declarative trial-event model, for 'PsychoPy', 'OpenSesame' and the browser ('jsPsych'). The laboratory targets bind electroencephalography onset triggers to the stimulus flip. It is the R member of a dual-language pair; a structurally identical 'Python' package is also provided. Several paradigms (factorial word contrasts, lexical decision, priming, self-paced reading and cued categorisation) are supported, and each design is accompanied by a machine- and human-readable materials datasheet for reproducibility.
License: MIT + file LICENSE
Copyright: The MIT licence covers the source code only. The example lexica in inst/extdata are derived from third-party data and are distributed under CC BY-SA 4.0; the terms and the attribution they require are in the LICENSE.note file.
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.0.0)
Imports: readr, yaml, stringdist, stringi, jsonlite, digest, stats, tools, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling, clue, shiny, bslib, DT, zip
VignetteBuilder: knitr
URL: https://github.com/pablobernabeu/lexsync, https://pablobernabeu.github.io/lexsync/r/
BugReports: https://github.com/pablobernabeu/lexsync/issues
NeedsCompilation: no
Packaged: 2026-09-12 10:10:40 UTC; CodexSandboxOffline
Author: Pablo Bernabeu [aut, cre]
Maintainer: Pablo Bernabeu <pcbernabeu@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-22 06:20:09 UTC

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New package Canton with initial version 0.0.8
Package: Canton
Title: Consistent Fonts and Figure Export for Scientific Publication Workflows
Version: 0.0.8
Description: Provides a unified interface for exporting figures created with base graphics, 'ggplot2', 'grid', 'pheatmap', and 'ComplexHeatmap' to PDF, PNG, JPEG, and TIFF files. Selects an appropriate rendering strategy based on the plot object and supports exporting a figure to multiple formats in one call. Also provides font configuration and diagnostics, reusable figure presets, publication-oriented themes, and colour palettes. The 'ggplot2' graphics framework is described by Wickham (2016, ISBN:978-3-319-24277-4).
License: GPL (>= 3)
URL: https://github.com/ScienceAdvances/Canton
BugReports: https://github.com/ScienceAdvances/Canton/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: ggplot2 (>= 3.4.0), systemfonts
Suggests: ComplexHeatmap, pheatmap, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-12 12:09:27 UTC; luther
Author: Tim Holy [aut, cre]
Maintainer: Tim Holy <email@timholy.com>
Repository: CRAN
Date/Publication: 2026-09-22 06:30:02 UTC

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New package BioMixModel with initial version 1.0.0
Package: BioMixModel
Title: Mixed Models for Biological, Clustered and Longitudinal Data
Version: 1.0.0
Description: Fits and interprets mixed-effects models for clustered, longitudinal and heterogeneous biological data. Provides variance partitioning, intraclass correlation, penalized likelihood summaries, a heterogeneous-data information criterion, model comparison, diagnostics, and ensemble-style summaries for multilevel data. The package is designed as a complementary, interpretable workflow around established mixed-model methods. Methods for intraclass correlation and variance partitioning are informed by Nakagawa and Schielzeth (2010) <doi:10.1111/j.1469-185X.2010.00141.x> and Nakagawa et al. (2017) <doi:10.1098/rsif.2017.0213>. Mixed-effects modeling approaches are described by Zuur et al. (2009) <doi:10.1007/978-0-387-87458-6>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), glmmTMB, nlme, mgcv, survival, coxme, brms
URL: https://github.com/vinodhpmd/BioMixModel
BugReports: https://github.com/vinodhpmd/BioMixModel/issues
NeedsCompilation: no
Packaged: 2026-09-12 15:31:19 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-22 06:50:11 UTC

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New package AI4OfficialStats with initial version 0.1.0
Package: AI4OfficialStats
Title: Audit Statistical Fidelity of AI-Mediated Official Statistics
Version: 0.1.0
Description: Provides deterministic tools for auditing whether artificial intelligence systems preserve the numerical, semantic, contextual, temporal, geographic, unit, provenance, revision, transformation, and uncertainty properties of official statistics. Structured reference statistics and machine-generated claims can be compared using non-compensatory critical-error rules, weakest-link and geometric fidelity summaries, provenance graphs, and portable SHA-256 proof bundles. The package provides bounded connectors for official statistical services and an extensible HTTPS JSON API registry. Prompt perturbation, statistical red-team generation, minimal-pair tests, and benchmark data support reproducible evaluation of generative, retrieval-augmented, and agentic statistical systems. An embedded alignment layer maps claim-level controls to relevant activities of the Generic Statistical Business Process Model (GSBPM) 5.2, including Analyse, Disseminate, Evaluate, Quality Management, and Metadata Manag [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: digest, jsonlite, stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-25 11:47:24 UTC; marvian
Author: Hossein Hassani [aut], Steve MacFeely [aut], Leila Marvian Mashhad [aut, cre]
Maintainer: Leila Marvian Mashhad <leila.marveian@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-22 06:20:17 UTC

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New package OPCC with initial version 1.0.1
Package: OPCC
Title: Open Postal Code Correspondence
Version: 1.0.1
Description: An open, fully reproducible alternative to closed postal code conversion files, giving source-qualified many-to-many correspondence between Ontario postal codes and Statistics Canada 2021 census geographies. Every published artifact can be rebuilt step by step from public sources using the included build functions, so any user can reproduce and audit the conversion end to end. Lookup results retain allocation weights, evidence source, lineage, method, and vintage; unmatched postal codes remain explicit, and versioned release artifacts are checksum-verified before use. A built-in 'shiny' application provides a point-and-click interface for joining, mapping, and exporting results. Correspondences are derived from the Statistics Canada National Address Register <https://www150.statcan.gc.ca/n1/pub/46-26-0002/462600022022001-eng.htm>, the 2021 Census Geographic Attribute File <https://www12.statcan.gc.ca/census-recensement/2021/geo/aip-pia/attribute-attribs/index-eng.cfm>, and [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/lennon-li/OPCC
BugReports: https://github.com/lennon-li/OPCC/issues
Depends: R (>= 4.1)
Imports: digest, jsonlite
Suggests: testthat (>= 3.0.0), curl, dplyr, readr, readxl, rlang, sf, knitr, rmarkdown, withr, shiny (>= 1.8.0), bslib (>= 0.6.0), DT, leaflet, htmlwidgets, chromote, processx, httpuv
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 20:33:43 UTC; yeli
Author: Lennon Li [aut, cre, cph]
Maintainer: Lennon Li <yeli@biostats.ai>
Repository: CRAN
Date/Publication: 2026-09-22 05:50:02 UTC

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Mon, 21 Sep 2026

New package summarisebig with initial version 0.1.0
Package: summarisebig
Title: Grouped Summaries for Large 'arrow' Datasets
Version: 0.1.0
Description: Provides a 'dplyr'-like interface for grouped summaries on large 'arrow' datasets. Complete summaries are attempted in 'arrow' first. When a result can be reconstructed from 'arrow'-computable sufficient statistics, an explicit MapReduce-style reduction and 'R' finalization strategy is available. For arbitrary 'R' functions that require raw group observations, complete groups are materialized in bounded chunks, with optional parallel execution and shared-memory processing. The MapReduce strategy follows the programming model described by Dean and Ghemawat (2008) <doi:10.1145/1327452.1327492>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: arrow, dplyr, future, future.mirai, futurize, furrr (>= 0.4.0), purrr, rlang
Suggests: knitr, mori, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/larry77/summarisebig, https://larry77.github.io/summarisebig/
BugReports: https://github.com/larry77/summarisebig/issues
NeedsCompilation: no
Packaged: 2026-09-11 20:15:02 UTC; lorenzo
Author: Lorenzo Isella [aut, cre]
Maintainer: Lorenzo Isella <lorenzo.isella@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 22:30:02 UTC

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New package legendplot with initial version 0.4-1
Package: legendplot
Title: Standard and 'rgl' Plots with Legends
Version: 0.4-1
Date: 2026-09-11
Maintainer: Ruben Fernandez-Casal <rubenfcasal@gmail.com>
Depends: R (>= 2.14.0), graphics
Imports: rgl, grDevices
Suggests: fields, knitr
Description: Provides tools to combine standard R plots or 'rgl' 3D plots with a legend. Facilitates the creation of composite figures that mix 2D or 3D visualizations with a categorical or continuous legend.
License: GPL (>= 2)
URL: https://rubenfcasal.github.io/legendplot/, https://github.com/rubenfcasal/legendplot/
BugReports: https://github.com/rubenfcasal/legendplot/issues/
LazyData: yes
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 19:54:33 UTC; ruben.fcasal
Author: Ruben Fernandez-Casal [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-21 22:20:02 UTC

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New package CLCM with initial version 0.1.1
Package: CLCM
Title: Estimate Confirmatory Latent Class Models
Version: 0.1.1
Description: Estimate confirmatory latent class models for a variety of item response types that are encountered in the clinical field. One or two timepoints are supported. Latent regression estimation can be performed, allowing for comparisons of longitudinal latent class assignments (e.g., treatment success/failure) across observed groups (e.g., treatment arms in clinical trials). Fit statistics C2 (a limited-information goodness-of-fit statistic), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC) are available as well. Methods are described in Iaconangelo (2026) <doi:10.5281/zenodo.22663151>.
License: GPL (>= 3)
URL: https://github.com/CJangelo/CLCM, https://cjangelo.github.io/CLCM/
BugReports: https://github.com/CJangelo/CLCM/issues
Encoding: UTF-8
Imports: Matrix, numDeriv, stats, utils
Suggests: ggplot2, knitr, nnet, rmarkdown, scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-12 00:53:40 UTC; charl
Author: Charlie Iaconangelo [aut, cre]
Maintainer: Charlie Iaconangelo <charles.iaconangelo@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 22:50:11 UTC

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New package ValCurvaR with initial version 0.1.0
Package: ValCurvaR
Title: Validation of Analytical Calibration Curves
Version: 0.1.0
Description: Provides transparent tools for fitting and evaluating analytical calibration curves. Ordinary and weighted least squares fits are supported, together with lack-of-fit, heteroscedasticity and influence diagnostics, back-calculation, prediction uncertainty and publication-ready base graphics. The workflow is designed to support validation studies rather than rely on a single goodness-of-fit statistic. Methods follow Magnusson and Ornemark (2014) <https://www.eurachem.org/images/stories/Guides/pdf/MV_guide_2nd_ed_EN.pdf> and International Council for Harmonisation (2023) <https://database.ich.org/sites/default/files/ICH_Q2%28R2%29_Guideline_2023_1130_ErrorCorrection_2025.pdf>.
License: MIT + file LICENSE
URL: https://github.com/isaquebrand/ValCurvaR
BugReports: https://github.com/isaquebrand/ValCurvaR/issues
Encoding: UTF-8
Imports: graphics, grDevices, lmtest, nortest, outliers, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 11:43:01 UTC; isaqu
Author: Isaque Wilkson de Sousa Brandao [aut, cre]
Maintainer: Isaque Wilkson de Sousa Brandao <isaquebrand@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 21:20:02 UTC

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New package tbl.now with initial version 1.0.0
Package: tbl.now
Title: Tidy Data and Workflow Layer for Epidemic Nowcasting
Version: 1.0.0
Description: Defines tidy data structures and package-agnostic workflows for epidemiological nowcasting. The 'tbl_now' class records event, report, and revision dates alongside strata, covariates, censoring, and reporting-delay metadata while remaining compatible with 'dplyr'. Tools support validation, manipulation, diagnostics, visualization, format conversion, retrospective evaluation, and multiple modelling engines. The 'tbl_nowcast' class standardizes probabilistic predictions for plotting, scoring, comparison, and ensembling.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.2.0)
Suggests: almanac, baselinenowcast (>= 0.2.1), diseasenowcasting (>= 2.4.0), data.table, epidist (>= 0.4.1), EpiNow2 (>= 1.9.0), epinowcast (>= 0.7.0), knitr, modifiedmk (>= 1.6.0), NobBS (>= 1.1.1), patchwork, plotly, rmarkdown, scoringutils (>= 2.0.0), surveillance (>= 1.26.1), testthat (>= 3.0.0), tsibble, withr
Additional_repositories: https://epinowcast.r-universe.dev, https://davisvaughan.r-universe.dev, https://rodrigozepeda.r-universe.dev
Imports: cli, generics, grid, dplyr, ggplot2, lifecycle, lubridate, methods, pillar, rlang, S7, scales, stats, tibble, tidyr, tidyselect, utils
URL: https://rodrigozepeda.github.io/tbl.now/, https://github.com/RodrigoZepeda/tbl.now
BugReports: https://github.com/RodrigoZepeda/tbl.now/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 10:38:28 UTC; rodzepeda
Author: Rodrigo Zepeda-Tello [aut, cre] , Rami Yaari [aut] , Matteo Perini [aut] , Teresa Yamana [ctb] , Jeffrey Shaman [ctb] , Columbia University in the City of New York [cph, fnd]
Maintainer: Rodrigo Zepeda-Tello <rzepeda17@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 21:10:02 UTC

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New package spaci with initial version 0.1.1
Package: spaci
Title: Causal Effect Estimation Under Spatial Confounding and Interference
Version: 0.1.1
Description: Implements the distance-adjusted propensity score with interference (iDAPS) and recoverU+ methods for estimating the average treatment effect on the treated (ATT) from spatial observational data in the presence of both spatial confounding and spatial interference. iDAPS matches units on a data-driven composite of propensity-score distance, spatial proximity and neighbourhood-exposure distance. recoverU+ is a doubly robust estimator that augments the propensity-score and control-outcome models with a partially recovered spatial confounder and a neighbourhood-exposure term. The package also provides the naive propensity score, DAPS and recoverU comparators, and a simulator for the spatial confounding/interference data-generating process.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats
Suggests: geoR, ggplot2, readxl, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Ogunsolaia/spaci
BugReports: https://github.com/Ogunsolaia/spaci/issues
NeedsCompilation: no
Packaged: 2026-09-11 12:10:11 UTC; b71225io
Author: Isqeel Ogunsola [aut, cre], Olatunji Johnson [aut], Thomas House [aut]
Maintainer: Isqeel Ogunsola <isqeel.ogunsola@postgrad.manchester.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-21 21:30:02 UTC

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New package risq with initial version 3.0.0
Package: risq
Title: Representativity Indicators for Survey Quality
Version: 3.0.0
Maintainer: Reijer Idema <r.idema@cbs.nl>
Description: Calculate representativity indicators for survey quality based on survey data and response models. Use partial indicators to analyse the impact of individual variables and categories. Monitor changes in representativity during data collection. Improve representativity through adaptive survey design. Supports both R-indicators and coefficients of variation. See also Schouten, Cobben, Bethlehem (2009) <https://api.semanticscholar.org/CorpusID:33654901>, Shlomo, Skinner, Schouten (2012) <doi:10.1016/j.jspi.2011.07.008> and Schouten, Shlomo (2017) <doi:10.1111/insr.12159>.
License: EUPL-1.2
Encoding: UTF-8
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 11:36:44 UTC; reijer
Author: Reijer Idema [aut, cre], Barry Schouten [aut]
Repository: CRAN
Date/Publication: 2026-09-21 21:10:17 UTC

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New package raddr with initial version 0.1.2
Package: raddr
Title: Show What an IP Address Literal Means Under Every Standard
Version: 0.1.2
Language: en-US
Description: Standards and implementations disagree about what an IP address literal means: the string "0177.0.0.1" is rejected by the dotted-quad grammar, read as 127.0.0.1 by browsers, and read as 177.0.0.1 by some 'inet_pton' implementations. Most libraries pick one reading and discard the rest. This package reports them all, alongside the reason codes that explain each one, and classifies parsed values against the IANA special-purpose address registries. It is pure R, performs no network access, and returns facts rather than allow or deny verdicts.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: rlang (>= 1.1.7), vctrs (>= 0.7.0)
URL: https://gitlab.com/bart-turczynski/raddr
BugReports: https://gitlab.com/bart-turczynski/raddr/-/issues
Suggests: bignum, bit64, digest, hedgehog, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-10 18:22:52 UTC; bartturczynski
Author: Bart Turczynski [aut, cre] , web-platform-tests contributors [cph]
Maintainer: Bart Turczynski <bartek@turczynski.pl>
Repository: CRAN
Date/Publication: 2026-09-21 21:40:02 UTC

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New package gtstats with initial version 1.0.0
Package: gtstats
Title: Beginner-Friendly Statistics and Publication-Ready Tables
Version: 1.0.0
Description: Provides beginner-friendly functions for common descriptive and inferential statistical analyses, together with tools for creating publication-ready tables. The package includes data description, summary statistics, distribution assessment, group comparisons, effect sizes, correlations, proportions and rates with confidence intervals, crosstabs for epidemiological measures, plots, and modular table-building workflows. Statistical methods include unequal-variance comparisons described by Welch (1947) <doi:10.1093/biomet/34.1-2.28>, score confidence intervals described by Wilson (1927) <doi:10.1080/01621459.1927.10502953>, and robust variance assessment described by Brown and Forsythe (1974) <doi:10.1080/01621459.1974.10482955>.
URL: https://gtstats.thinkdenominator.com/, https://github.com/ThinkDenominator/gtstats
BugReports: https://github.com/thinkdenominator/gtstats/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr, tibble, gt, flextable, officer, stats, ggplot2, tidyselect
Suggests: shiny, rstudioapi, rio, testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, webshot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 14:56:33 UTC; drrubesh
Author: Rubeshkumar Polani [aut, cre] , Mogan Kaviprawin [aut] , Manikandanesan Sakthivel [aut] , Salin K Eliyas [aut] , Yuvaraj Krishnamoorthy [aut]
Maintainer: Rubeshkumar Polani <rubesh@thinkdenominator.com>
Repository: CRAN
Date/Publication: 2026-09-21 21:50:02 UTC

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New package CausalLoopAnalytics with initial version 1.0.0
Package: CausalLoopAnalytics
Title: Data-Driven Causal Loop and Feedback Network Analysis
Version: 1.0.0
Description: Provides tools for constructing signed causal-loop models, discovering directed causal relationships from time-series data using Granger-style tests, identifying and classifying reinforcing and balancing feedback loops, quantifying loop strength, assessing loop stability by bootstrap resampling, calculating network centrality and leverage-point scores, comparing causal-loop models, and producing publication-ready base R visualizations and summaries. The package is domain-agnostic and can be used in human medicine, veterinary medicine, agriculture, epidemiology, ecology, public health, and One Health. Methods are based on Granger (1969) <doi:10.2307/1912791> and Efron (1979) <doi:10.1214/aos/1176344552>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
URL: https://github.com/vinodhpmd/CausalLoopAnalytics
BugReports: https://github.com/vinodhpmd/CausalLoopAnalytics/issues
NeedsCompilation: no
Packaged: 2026-09-11 14:21:34 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 21:50:17 UTC

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New package nlcs with initial version 1.0
Package: nlcs
Title: N-LCS: Normative Latent Cognitive Structure
Version: 1.0
Description: Provides functions to construct a normative latent cognitive structure (N-LCS) from cognitive test data standardized to healthy controls, and to compute cognitive deviation magnitude (CDM) and cognitive deviation angle (CDA). Methods are described in Chen (2026) <doi:10.1080/23279095.2026.2691088>.
License: GPL-3
Encoding: UTF-8
Imports: EFAtools, psych, stats, utils
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-11 08:13:38 UTC; chenc
Author: Chen Chen [aut, cre]
Maintainer: Chen Chen <chench61@alumni.nu.ac.th>
Repository: CRAN
Date/Publication: 2026-09-21 21:00:02 UTC

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New package GARCHInfoLSTM with initial version 0.1.0
Package: GARCHInfoLSTM
Title: GARCH-Informed LSTM Model for Volatility Forecasting
Version: 0.1.0
Description: The proposed Generalized Autoregressive Conditional Heteroskedasticity (GARCH)-informed Long Short-Term Memory (LSTM) model follows the concept of physics-informed machine learning (PIML) by integrating established econometric knowledge of price volatility into a data-driven forecasting framework. In the model, conditional volatility estimated from the GARCH process is incorporated as an additional explanatory signal or volatility-based weighting component within the LSTM architecture. This enables the LSTM to learn nonlinear temporal dependencies while remaining informed by the underlying characteristics of agricultural price series, including volatility clustering, heteroscedasticity and market uncertainty. The optimized weighting parameter, lambda, controls the contribution of the GARCH-derived volatility information to the final prediction. Thus, the model combines the statistical interpretability of GARCH with the nonlinear learning capability of LSTM, producing a hybrid PIML fram [...truncated...]
Encoding: UTF-8
Imports: torch (>= 0.11.0), rugarch (>= 1.5.0), ggplot2 (>= 3.4.0), cli (>= 3.6.0), coro, stats, utils
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-09-08 11:41:08 UTC; YEASIN
Author: Md Yeasin [aut], Ranjit Kumar Paul [aut, cre], Manojit Mandal [aut], Pushkar Bora [aut]
Maintainer: Ranjit Kumar Paul <ranjitstat@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 20:50:08 UTC

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New package exposureEM with initial version 0.3.0
Package: exposureEM
Title: Combined-Exposure Models by EM and Marquardt Optimization
Version: 0.3.0
Description: Fits general two-component combined-exposure models for binary event histories when the event setting is not observed. The observed binary event is represented as the union of two latent component-specific binary events. Known exposure proportions enter as offsets. Parameters can be estimated by expectation-maximization, direct Marquardt-damped Newton-Raphson maximization of the observed likelihood, or a hybrid that uses several expectation-maximization iterations before direct optimization. Uncertainty is estimated with Louis' formula for the expectation-maximization estimator and the inverse observed Hessian for direct and hybrid fits. Complementary log-log, logit, and log component links are available for all three estimation methods.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils
NeedsCompilation: no
Packaged: 2026-09-11 07:17:45 UTC; anna
Author: Wenjing Meng [aut, cre]
Maintainer: Wenjing Meng <w2meng@ucsd.edu>
Repository: CRAN
Date/Publication: 2026-09-21 21:00:07 UTC

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New package DMAR with initial version 1.0.0
Package: DMAR
Title: Design, Measurement, and Analysis in R (DMAR)
Version: 1.0.0
Date: 2026-09-07
Imports: grDevices, MASS, generics, parallel, stats, utils, withr
Suggests: boot, car, ggplot2 (>= 3.4.0), ggrain, knitr, lavaan (>= 0.7-2), lme4, lmerTest, mvtnorm, nlme, OpenMx, patchwork, reformulas, rmarkdown, testthat (>= 3.2.0)
Description: Methods for design, measurement, and analysis, with the aim of being user friendly yet methodologically sound. 'DMAR' (pronounced "Dee-Mar") implements many advanced and nonstandard methods and makes them available for straightforward use, with interfaces, defaults, and documentation that are consistent across the package and grounded in the methodological literature, in support of sound and reproducible results. The package emphasizes effect size estimation with confidence intervals; sample size planning through accuracy in parameter estimation (AIPE) and power analysis (including composite power for designs whose conclusions require several results to hold at once), with minimum risk, sequential, and equivalence frameworks; reliability, agreement, and measurement more broadly, from coefficient omega with confidence intervals to measurement invariance; factor analysis and structural equation modeling, in which constructs, latent variables measured by multiple indicators, are modeled d [...truncated...]
Depends: R (>= 4.0.0)
URL: https://kenkelley.org, https://yelleknek.github.io/DMAR/, https://github.com/yelleKneK/DMAR
BugReports: https://github.com/yelleKneK/DMAR/issues
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-07 23:48:51 UTC; kkelley
Author: Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>
Repository: CRAN
Date/Publication: 2026-09-21 20:50:14 UTC

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New package TaxResolveR with initial version 0.1.0
Package: TaxResolveR
Title: Taxonomic Name Resolution and Validation Tools
Version: 0.1.0
Description: Provides reproducible tools for cleaning, parsing, classifying, standardising, validating and resolving scientific names in ecological and biodiversity datasets. Taxonomic matches can be assessed for match quality and taxonomic status, records requiring manual review can be identified, and resolution results can be summarised, reported and exported. Taxonomic name resolution can use the 'GBIF' species matching service and the GBIF Backbone Taxonomy described by GBIF Secretariat (2023) <doi:10.15468/39omei>.
URL: https://github.com/prdelosriosescalante/TaxResolveR
BugReports: https://github.com/prdelosriosescalante/TaxResolveR/issues
License: GPL-3
Encoding: UTF-8
Language: en-GB
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: httr2
NeedsCompilation: no
Packaged: 2026-09-11 05:40:53 UTC; tarea
Author: Patricio R. De los Rios-Escalante [aut, cre]
Maintainer: Patricio R. De los Rios-Escalante <patricio.delosrios.e@mail.pucv.cl>
Repository: CRAN
Date/Publication: 2026-09-21 18:10:02 UTC

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New package tradeIndices with initial version 0.1.0
Package: tradeIndices
Title: International Trade Intensity, Openness and Diversification Measures
Version: 0.1.0
Description: Calculates commonly used indicators for empirical international trade analysis from user-supplied data. Measures include trade openness, bilateral export and import intensity, the Herfindahl-Hirschman concentration index, normalized and entropy-based diversification, structural diversification relative to a benchmark, export similarity, trade complementarity, revealed comparative advantage, and intra-industry trade. Functions are vectorized where appropriate, validate economically meaningful inputs, and require no external data service. The definition of trade openness follows the World Bank indicator metadata <https://data.worldbank.org/indicator/NE.TRD.GNFS.ZS>. Methodological background for several trade indicators is provided by the World Bank's World Integrated Trade Solution <https://wits.worldbank.org/wits/wits/witshelp/Content/Utilities/e1.trade_indicators.htm> and the World Trade Organization (2012, ISBN:9789287038128).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 05:38:56 UTC; majum
Author: Chiranjit Mazumder [aut, cre], Renjini V. R. [aut]
Maintainer: Chiranjit Mazumder <majumder.chira@icar.org.in>
Repository: CRAN
Date/Publication: 2026-09-21 18:00:02 UTC

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New package tiltdens with initial version 0.1.1
Package: tiltdens
Title: Tilted and Data-Sharpened Nonparametric Density Estimation
Version: 0.1.1
Description: High-order nonparametric density estimators built by perturbing a conventional kernel estimator, either by re-weighting the observations ("tilting") or by moving them ("data sharpening"). The perturbation is chosen so that the estimator inherits the fast convergence rate of an infinite-order kernel estimator, such as the sinc or trapezoidal flat-top estimator, while remaining a proper non-negative density without the oscillatory tails those estimators suffer from. Two criteria are provided: minimising the L2 distance to an infinite-order comparator, following Doosti and Hall (2016) <doi:10.1111/rssb.12112>, and minimising a cross-validation criterion that needs no comparator and is much faster, following Doosti, Hall and Mateu (2018) <doi:10.1016/j.jspi.2017.12.003>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.5.0)
Imports: graphics, stats, quadprog
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/DoostiH/tiltdens
BugReports: https://github.com/DoostiH/tiltdens/issues
NeedsCompilation: no
Packaged: 2026-09-10 23:52:21 UTC; MQ20173444
Author: Hassan Doosti [aut, cre, cph]
Maintainer: Hassan Doosti <hassan.doosti@mq.edu.au>
Repository: CRAN
Date/Publication: 2026-09-21 17:10:02 UTC

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New package peruocc with initial version 0.1.0
Package: peruocc
Title: Query and Standardize Biodiversity Occurrences in Peru
Version: 0.1.0
Description: Facilitates the retrieval, spatial validation, and integration of flora and fauna occurrence records across administrative units (districts and provinces) in Peru. Retrieves official boundary geometries via 'geoperu', queries and consolidates observations from the Global Biodiversity Information Facility (GBIF, <https://www.gbif.org/>) and 'iNaturalist' (<https://www.inaturalist.org/>), and standardizes attributes into a unified Darwin Core aligned structure. Designed for biodiversity assessments and spatial workflows within user-defined areas of interest.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, dplyr, geoperu, ggplot2, jsonlite, readr, rgbif, rinat, sf
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://paulesantos.github.io/peruocc/
BugReports: https://github.com/PaulESantos/peruocc/issues
NeedsCompilation: no
Packaged: 2026-09-11 03:06:36 UTC; PC
Author: Paul E. Santos Andrade [aut, cre, cph]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 17:50:02 UTC

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New package mechgraph with initial version 0.0.1
Package: mechgraph
Title: Mechanism Evidence Graph Data Model
Version: 0.0.1
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Description: Provides a lightweight graph data model for representing, combining, querying, and summarizing evidence-backed biological mechanism graphs. A mechgraph is an S3 list holding a node table, an edge table, and provenance metadata. The package implements builders that convert STRING and BioGRID interaction tables into mechgraph objects, combiners (mg_bind(), mg_combine()) that merge graphs while preserving duplicate evidence records, accessors (mg_nodes(), mg_edges(), mg_metadata()) and mutators (mg_add_*(), mg_drop_*()) for node and edge tables, filters by type, source, identifier, and score, induced-subgraph construction, structural validation (mg_validate()), and quality-control summaries (mg_qc()). Szklarczyk et al. (2023) <doi:10.1093/nar/gkac1000> Oughtred et al. (2021) <doi:10.1002/pro.3938>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: igraph
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-11 05:02:37 UTC; wang
Repository: CRAN
Date/Publication: 2026-09-21 18:00:08 UTC

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New package matsketch with initial version 0.1.0
Package: matsketch
Title: Randomized Matrix Computations from Few Entries and Products
Version: 0.1.0
Description: Implements recent randomized algorithms that answer questions about a large positive-semidefinite matrix while touching only a small part of it. Randomly pivoted Cholesky builds a low-rank approximation from a few rows of a kernel matrix (Chen, Epperly, Tropp and Webber (2025) <doi:10.1002/cpa.22234>), with an accelerated variant based on rejection sampling (Epperly, Tropp and Webber (2025) <doi:10.1137/24m1699048>). The XTrace, XNysTrace and XDiag estimators recover the trace and diagonal of a matrix that is available only through matrix-vector products (Epperly, Tropp and Webber (2024) <doi:10.1137/23m1548323>), alongside the Hutch++ estimator of Meyer, Musco, Musco and Woodruff (2021) <doi:10.1137/1.9781611976496.16>. Randomized Nystrom preconditioning speeds up the conjugate gradient method for regularized linear systems (Frangella, Tropp and Udell (2023) <doi:10.1137/21m1466244>). These pieces are combined to fit restricted maximum likelihood variance [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats
Suggests: knitr, Matrix, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mqfarooqi1/matsketch, https://mqfarooqi1.github.io/matsketch/
BugReports: https://github.com/mqfarooqi1/matsketch/issues
NeedsCompilation: no
Packaged: 2026-09-11 01:03:34 UTC; faroo
Author: Muhammad Farooqi [aut, cre]
Maintainer: Muhammad Farooqi <mqfarooqi@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 17:20:02 UTC

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Fri, 18 Sep 2026

New package attrition with initial version 1.0.0
Package: attrition
Title: Addressing Nonignorable Attrition with Double Sampling and Bounds
Version: 1.0.0
Description: Implements the double-sampling bounds estimator of Coppock, Gerber, Green, and Kern (2017) <doi:10.1017/pan.2016.6> for randomized experiments with nonignorable missing outcomes. Provides worst-case (Manski) bounds, double-sampling bounds with analytic variance and Imbens-Manski confidence intervals, Lee (2009) <doi:10.1111/j.1467-937X.2009.00536.x> trimming bounds with analytic and bootstrap standard errors, covariate adjustment via poststratification, and a sensitivity analysis for violations of the outcome stability assumption.
Depends: R (>= 4.1.0)
Imports: generics, ggplot2, tibble
Encoding: UTF-8
License: GPL-3
URL: https://alexandercoppock.com/attrition/, https://github.com/acoppock/attrition
BugReports: https://github.com/acoppock/attrition/issues
Suggests: dplyr, estimatr, knitr, purrr, rmarkdown, testthat (>= 3.0.0), vayr (>= 1.1.0)
VignetteBuilder: knitr
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-10 20:30:46 UTC; alexandercoppock
Author: Alexander Coppock [aut, cre], Alan S. Gerber [aut], Donald P. Green [aut], Holger L. Kern [aut]
Maintainer: Alexander Coppock <acoppock@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-18 12:00:01 UTC

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New package typedjson with initial version 0.1.0
Package: typedjson
Title: Type-Faithful and Human-Readable JSON for R Values
Version: 0.1.0
Description: Writing an R value as JSON that a human can read, and reading it back unchanged. The 'jsonlite' package offers either a readable but lossy pair of functions or a faithful but verbose one; this package emits ordinary JSON for ordinary values and annotates only what JSON cannot express, namely the distinction between integer and double, typed missing values, non-finite numbers, attributes, and objects from the S3, S4 and S7 systems.
License: MIT + file LICENSE
Copyright: The bundled 'yyjson' code in src/ is Copyright (c) 2020 YaoYuan and distributed under the MIT license. See file YYJSON-LICENSE for its full text.
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.3)
LinkingTo: cpp11
Imports: methods
Suggests: jsonlite, knitr, R6, rmarkdown, S7, testthat (>= 3.0.0), withr
VignetteBuilder: knitr, rmarkdown
URL: https://nbenn.github.io/typedjson/
BugReports: https://github.com/nbenn/typedjson/issues
NeedsCompilation: yes
Packaged: 2026-09-10 11:13:06 UTC; coder
Author: Nicolas Bennett [aut, cre, cph], YaoYuan [ctb, cph]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>
Repository: CRAN
Date/Publication: 2026-09-18 11:20:02 UTC

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