CRANberries

Tue, 30 Dec 2025

New package sensortowerR with initial version 0.9.4
Package: sensortowerR
Title: Interface to 'Sensor Tower' Mobile App Intelligence API
Version: 0.9.4
Description: Interface to the 'Sensor Tower' API <https://app.sensortower.com/api/docs/app_analysis> for mobile app analytics and market intelligence. Provides functions to retrieve app metadata, publisher information, download and revenue estimates, active user metrics, category rankings, and market trends. The package includes data processing utilities to clean and aggregate metrics across platforms, automatic app name resolution, and tools for generating professional analytics dashboards. Supports both iOS and Android app ecosystems with unified data structures for cross-platform analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, glue, httr, httr2, jsonlite, lubridate, openssl, purrr, rlang, stats, stringr, tibble, tidyr, utils
Suggests: gt, gtExtras, knitr, pkgbuild, rcmdcheck, rmarkdown, rhub, testthat (>= 3.0.0)
VignetteBuilder: knitr
Author: Phillip Black [aut, cre]
Maintainer: Phillip Black <pblack@gameeconomistconsulting.com>
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-12-19 15:23:46 UTC; phillip
Repository: CRAN
Date/Publication: 2025-12-30 19:20:02 UTC

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New package plavaan with initial version 0.0.1
Package: plavaan
Title: Penalized Estimation for Latent Variable Models with 'lavaan'
Version: 0.0.1
Description: Extends the popular 'lavaan' package by adding penalized estimation capabilities. It supports penalty on individual parameters as well as the difference between parameters.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: lavaan, numDeriv
URL: https://marklhc.github.io/plavaan/, https://github.com/marklhc/plavaan
BugReports: https://github.com/marklhc/plavaan/issues
NeedsCompilation: no
Packaged: 2025-12-19 06:30:15 UTC; marklai
Author: Hok Chio Lai [aut, cre]
Maintainer: Hok Chio (Mark) Lai <marklhc@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-12-30 19:00:02 UTC

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New package DRsurvCRT with initial version 0.0.1
Package: DRsurvCRT
Title: Doubly-Robust Estimation for Survival Outcomes in Cluster-Randomized Trials
Version: 0.0.1
Description: Cluster-randomized trials (CRTs) assign treatment to groups rather than individuals, so valid analyses must distinguish cluster-level and individual-level effects and define estimands within a potential-outcomes framework. This package supports right-censored survival outcomes for both single-state (binary) and multi-state settings. For single-state outcomes, it provides estimands based on stage-specific survival contrasts (SPCE) and restricted mean survival time (RMST). For multi-state outcomes, it provides SPCE as well as a generalized win-based restricted mean time-in-favor estimand (RMT-IF). The package implements doubly robust estimators that accommodate covariate-dependent censoring and remain consistent if either the outcome model or the censoring model is correctly specified. Users can choose marginal Cox or gamma-frailty Cox working models for nuisance estimation, and inference is supported via leave-one-cluster-out jackknife variance and confidence interval estimation. Method [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: Rcpp, frailtyEM, survival, ggplot2, pracma, abind
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2025-12-19 03:14:10 UTC; fancy
Author: Xi Fang [aut, cre], Fan Li [aut]
Maintainer: Xi Fang <x.fang@yale.edu>
Repository: CRAN
Date/Publication: 2025-12-30 19:00:06 UTC

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Mon, 22 Dec 2025

New package sitrep with initial version 0.2.3
Package: sitrep
Title: Report Templates and Helper Functions for Applied Epidemiology
Version: 0.2.3
Description: A meta-package that loads the complete sitrep ecosystem for applied epidemiology analysis. This package provides report templates and automatically loads companion packages, including 'epitabulate' (for epidemiological tables), 'epidict' (for data dictionaries), 'epikit' (for epidemiological utilities), and 'apyramid' (for age-sex pyramids). Simply load 'sitrep' to access all functions from the ecosystem.
License: GPL-3
URL: https://github.com/R4EPI/sitrep/, https://r4epi.github.io/sitrep/
BugReports: https://github.com/R4EPI/sitrep/issues/
Depends: R (>= 3.2)
Imports: apyramid (>= 0.1.0), epidict (>= 0.1.0), epikit, epitabulate (>= 0.1.0), utils
Suggests: anthro, binom, broom, clipr, covr, dplyr (>= 0.8.0), flextable, forcats, ggalluvial, ggplot2 (>= 3.0.0), ggspatial, glue, gtsummary (>= 2.0.0), here, janitor, knitr, labelled, lubridate, matchmaker, pacman, parsedate, patchwork, purrr, rio, rlang (>= 0.4.0), rmarkdown, scales, sessioninfo, sf, slider, srvyr, stats, stringr, summarytools, survey, testthat (>= 2.1.0), tibble, tidyr (>= 1.0.0), tidyselect, tsibble, vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-18 06:54:23 UTC; spina
Author: Alexander Spina [aut, cre] , Zhian N. Kamvar [aut] , Dirk Schumacher [aut], Kate Doyle [aut], Chris Jarvis [aut], Lukas Richter [aut], Paula Blomquist [aut], Annick Lenglet [ctb], Neale Batra [ctb], Applied Epi Incorporated [cph], Medecins Sans Front [...truncated...]
Maintainer: Alexander Spina <aspina@appliedepi.org>
Repository: CRAN
Date/Publication: 2025-12-22 19:40:02 UTC

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New package pairwiseLLM with initial version 1.1.0
Package: pairwiseLLM
Title: Pairwise Comparison Tools for Large Language Model-Based Writing Evaluation
Version: 1.1.0
Description: Provides a unified framework for generating, submitting, and analyzing pairwise comparisons of writing quality using large language models (LLMs). The package supports live and/or batch evaluation workflows across multiple providers ('OpenAI', 'Anthropic', 'Google Gemini', 'Together AI', and locally-hosted 'Ollama' models), includes bias-tested prompt templates and a flexible template registry, and offers tools for constructing forward and reversed comparison sets to analyze consistency and positional bias. Results can be modeled using Bradley–Terry (1952) <doi:10.2307/2334029> or Elo rating methods to derive writing quality scores. For information on the method of pairwise comparisons, see Thurstone (1927) <doi:10.1037/h0070288> and Heldsinger & Humphry (2010) <doi:10.1007/BF03216919>. For information on Elo ratings, see Clark et al. (2018) <doi:10.1371/journal.pone.0190393>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr2, jsonlite, rlang, stats, tibble, tidyselect, tools, utils
Suggests: BradleyTerry2, EloChoice, knitr, mockery, purrr, readr, rmarkdown, sirt, stringr, testthat (>= 3.0.0), tidyr, withr
URL: https://github.com/shmercer/pairwiseLLM, https://shmercer.github.io/pairwiseLLM/
BugReports: https://github.com/shmercer/pairwiseLLM/issues
Depends: R (>= 4.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-18 02:11:26 UTC; shmer
Author: Sterett H. Mercer [aut, cre]
Maintainer: Sterett H. Mercer <sterett.mercer@ubc.ca>
Repository: CRAN
Date/Publication: 2025-12-22 19:10:02 UTC

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New package meetupr with initial version 0.3.1
Package: meetupr
Title: Access Meetup Data
Version: 0.3.1
Description: Provides programmatic access to the 'Meetup' 'GraphQL' API (<https://www.meetup.com/graphql/>), enabling users to retrieve information about groups, events, and members from 'Meetup' (<https://www.meetup.com/>). Supports authentication via 'OAuth2' and includes functions for common queries and data manipulation tasks.
License: MIT + file LICENSE
Depends: R (>= 4.2)
Imports: countrycode, cli, clipr, dplyr, fs, glue, httr2, jsonlite, lifecycle, purrr, rlang, rlist, S7, tools, stats, utils, withr, rstudioapi
Suggests: covr, cyphr, ggplot2, ggwordcloud, httpuv, jose, knitr, openssl, rmarkdown, sodium, testthat, tidyr, tidytext, vcr
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://rladies.org/meetupr/
BugReports: https://github.com/rladies/meetupr/issues
NeedsCompilation: no
Packaged: 2025-12-18 15:45:12 UTC; athanasm
Author: Athanasia Mo Mowinckel [aut, cre] , Erin LeDell [aut], Olga Mierzwa-Sulima [aut], Lucy D'Agostino McGowan [aut], Claudia Vitolo [aut], Gabriela De Queiroz [ctb], Michael Beigelmacher [ctb], Augustina Ragwitz [ctb], Greg Sutcliffe [ctb], Rick Pack [ct [...truncated...]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>
Repository: CRAN
Date/Publication: 2025-12-22 19:50:02 UTC

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New package MBRM with initial version 0.1.1
Package: MBRM
Title: Mixed Regression Models with Generalized Log-Gamma Random Effects
Version: 0.1.1
Author: Lizandra C. Fabio [aut], Vanessa Barros [aut], Cristian Lobos [aut], Jalmar M. F. Carrasco [aut, cre]
Maintainer: Jalmar M. F. Carrasco <carrasco.jalmar@ufba.br>
Description: Multivariate distribution derived from a Bernoulli mixed model under a marginal approach, incorporating a non-normal random intercept whose distribution is assumed to follow a generalized log-gamma (GLG) specification under a particular parameter setting. Estimation is performed by maximizing the log-likelihood using numerical optimization techniques (Lizandra C. Fabio, Vanessa Barros, Cristian Lobos, Jalmar M. F. Carrasco, Marginal multivariate approach: A novel strategy for handling correlated binary outcomes, 2025, under submission).
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, stats, Formula, tibble, dplyr, ggplot2
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2025-12-18 12:42:04 UTC; carra
Repository: CRAN
Date/Publication: 2025-12-22 19:50:07 UTC

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New package BootstrapTests with initial version 0.1.0
Package: BootstrapTests
Title: Bootstrap-Based Hypothesis Testing using Different Resampling Schemes
Version: 0.1.0
Description: Perform bootstrap-based hypothesis testing procedures on three statistical problems. In particular, it covers independence testing, testing the slope in a linear regression setting, and goodness-of-fit testing, following (Derumigny, Galanis, Schipper and Van der Vaart, 2025) <doi:10.48550/arXiv.2512.10546>.
License: GPL-3
URL: https://github.com/AlexisDerumigny/BootstrapTests
BugReports: https://github.com/AlexisDerumigny/BootstrapTests/issues
Imports: pbapply (>= 1.7.2), stats (>= 4.4.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-18 16:06:00 UTC; wiegerschipper
Author: Alexis Derumigny [aut] , Miltiadis Galanis [aut], Wieger Schipper [aut, cre] , Aad van der Vaart [aut]
Maintainer: Wieger Schipper <W.R.Schipper@tudelft.nl>
Repository: CRAN
Date/Publication: 2025-12-22 20:00:11 UTC

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New package manureshed with initial version 0.1.0
Package: manureshed
Title: Spatiotemporal Nutrient Balance Analysis Across Agricultural and Municipal Systems
Version: 0.1.0
Maintainer: Olatunde D. Akanbi <olatunde.akanbi@case.edu>
Description: A comprehensive framework for analyzing agricultural nutrient balances across multiple spatial scales (county, 'HUC8', 'HUC2') with integration of wastewater treatment plant ('WWTP') effluent loads for both nitrogen and phosphorus. Supports classification of spatial units as nutrient sources, sinks, or balanced areas based on agricultural surplus and deficit calculations. Includes visualization tools, spatial transition probability analysis, and nutrient flow network mapping. Built-in datasets include agricultural nutrient balance data from the Nutrient Use Geographic Information System ('NuGIS'; The Fertilizer Institute and Plant Nutrition Canada, 1987-2016) <https://nugis.tfi.org/tabular_data/> and U.S. Environmental Protection Agency ('EPA') wastewater discharge data from the 'ECHO' Discharge Monitoring Report ('DMR') Loading Tool (2007-2016) <https://echo.epa.gov/trends/loading-tool/water-pollution-search>. Data are downloaded on demand from the Open Science Framework ( [...truncated...]
License: MIT + file LICENSE
URL: https://osf.io/g39xa/
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.0.0), sf (>= 1.0.0), ggplot2 (>= 3.3.0), tidyr (>= 1.1.0), jsonlite (>= 1.7.0), rlang (>= 0.4.0), magrittr, scales (>= 1.1.0), igraph (>= 1.2.0), tigris (>= 1.5.0), stats, utils, tools
Suggests: nhdplusTools (>= 0.5.0), RColorBrewer (>= 1.1.0), cowplot (>= 1.1.0), ggpubr (>= 0.4.0), viridis (>= 0.6.0), testthat (>= 3.0.0), knitr, progress, rmarkdown
SystemRequirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-17 18:15:16 UTC; oda10
Author: Olatunde D. Akanbi [aut, cre, cph] , Vibha Mandayam [aut] , Atharva Gupta [aut] , K. Colton Flynn [aut] , Jeffrey Yarus [aut] , Erika I. Barcelos [aut, cph] , Roger H. French [aut, cph]
Repository: CRAN
Date/Publication: 2025-12-22 18:10:02 UTC

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New package FMCensSkewReg with initial version 0.1.1
Package: FMCensSkewReg
Title: Finite Mixture of Censored Regression Models with Skewed Distributions
Version: 0.1.1
Author: Jiwon Park [aut, cre], Victor Hugo Lachos Davila [aut], Dipak Dey [aut]
Maintainer: Jiwon Park <pcjylove87@gmail.com>
Description: Provides an implementation of finite mixture regression models for censored data under four distributional families: Normal (FM-NCR), Student t (FM-TCR), skew-Normal (FM-SNCR), and skew-t (FM-STCR). The package enables flexible modeling of skewness and heavy tails often observed in real-world data, while explicitly accounting for censoring. Functions are included for parameter estimation via the Expectation-Maximization (EM) algorithm, computation of standard errors, and model comparison criteria such as the Akaike Information Criterion (AIC), the Bayesian Information Criterion (BIC), and the Efficient Determination Criterion (EDC). The underlying methodology is described in Park et al. (2024) <doi:10.1007/s00180-024-01459-4>.
License: MIT + file LICENSE
URL: https://github.com/JiwonPark41/FMCensSkewReg
BugReports: https://github.com/JiwonPark41/FMCensSkewReg/issues
Depends: R (>= 3.6.0)
Encoding: UTF-8
Imports: stats, mvtnorm, MomTrunc, mnormt, sn, truncdist, mixsmsn
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-12-17 14:21:11 UTC; jiwonpark
Repository: CRAN
Date/Publication: 2025-12-22 18:10:09 UTC

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New package AsianOption with initial version 0.1.0
Package: AsianOption
Title: Asian Option Pricing with Price Impact
Version: 0.1.0
Date: 2025-12-04
Maintainer: Priyanshu Tiwari <tiwari.priyanshu.iitk@gmail.com>
Description: Implements binomial tree pricing for geometric and arithmetic Asian options incorporating market price impact from hedging activities. Uses the Cox-Ross-Rubinstein (CRR) model with the replicating portfolio method. Provides exact pricing for geometric Asian options and bounds for arithmetic Asian options based on Jensen's inequality. The price impact mechanism models how hedging volumes affect stock prices, leading to modified risk-neutral probabilities. Based on the methodology described in Tiwari and Majumdar (2025) <doi:10.48550/arXiv.2512.07154>.
License: GPL (>= 3)
URL: https://github.com/plato-12/AsianOption
BugReports: https://github.com/plato-12/AsianOption/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), covr
NeedsCompilation: yes
Packaged: 2025-12-17 20:11:49 UTC; priyanshutiwari
Author: Priyanshu Tiwari [aut, cre] , Sourav Majumdar [ctb]
Repository: CRAN
Date/Publication: 2025-12-22 18:20:02 UTC

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New package weightedsurv with initial version 0.1.0
Package: weightedsurv
Title: Survival Analysis with Subject-Specific (Case Weights) and Time-Dependent Weighting
Version: 0.1.0
Description: Provides survival analysis functions with support for time-dependent and subject-specific (e.g., propensity score) weighting. Implements weighted estimation for Cox models, Kaplan-Meier survival curves, and treatment differences with point-wise and simultaneous confidence bands. Includes restricted mean survival time (RMST) comparisons evaluated across all potential truncation times with both point-wise and simultaneous confidence bands. See Cole, S. R. & Hernán, M. A. (2004) <doi:10.1016/j.cmpb.2003.10.004> for methodological background.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, graphics, rlang, stats, survival, utils
Suggests: adjustedCurves, data.table, DiagrammeR, dplyr, gt, knitr, pammtools, rmarkdown
URL: https://github.com/larry-leon/weightedsurv
BugReports: https://github.com/larry-leon/weightedsurv/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-16 22:36:01 UTC; larryleon
Author: Larry Leon [aut, cre]
Maintainer: Larry Leon <larry.leon.05@post.harvard.edu>
Repository: CRAN
Date/Publication: 2025-12-22 17:10:02 UTC

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New package TemporalForest with initial version 0.1.4
Package: TemporalForest
Title: Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data
Version: 0.1.4
Description: Implements the Temporal Forest algorithm for feature selection in high-dimensional longitudinal data. The method combines time-aware network construction via weighted gene co-expression network analysis (WGCNA), module-based feature screening, and stability selection using tree-based models. This package provides tools for reproducible longitudinal analysis, closely following the methodology described in Shao, Moore, and Ramirez (2025) <https://github.com/SisiShao/TemporalForest>.
License: MIT + file LICENSE
URL: https://github.com/SisiShao/TemporalForest
BugReports: https://github.com/SisiShao/TemporalForest/issues
Encoding: UTF-8
Language: en-US
Imports: WGCNA, dynamicTreeCut, flashClust, glmertree, partykit, stats, graphics, grDevices,
Suggests: knitr, rmarkdown, igraph, Matrix, MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-17 08:48:16 UTC; sisishao
Author: Sisi Shao [aut, cre] , Jason H. Moore [aut] , Christina M. Ramirez [aut]
Maintainer: Sisi Shao <sisishao@g.ucla.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-12-22 17:30:02 UTC

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New package RegEnRF with initial version 1.0.0
Package: RegEnRF
Title: Regression-Enhanced Random Forests
Version: 1.0.0
Description: A novel generalized Random Forest method, that can improve on RFs by borrowing the strength of penalized parametric regression. Based on Zhang et al. (2019) <doi:10.48550/arXiv.1904.10416>.
License: MIT + file LICENSE
BugReports: https://github.com/umbe1987/regenrf/issues
Imports: glmnet, randomForest
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/umbe1987/regenrf
NeedsCompilation: no
Packaged: 2025-12-17 13:12:29 UTC; minorum
Author: Umberto Minora [aut, cre, cph]
Maintainer: Umberto Minora <umbertofilippo@tiscali.it>
Repository: CRAN
Date/Publication: 2025-12-22 18:00:08 UTC

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New package PlateVision with initial version 0.1.0
Package: PlateVision
Title: Automated qPCR Analysis and Visual Quality Control
Version: 0.1.0
Description: Directly pipes raw quantitative PCR (qPCR) machine outputs into downstream analyses using the comparative Ct (Delta-Delta Ct) method described by Livak and Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Streamlines the workflow from 'Excel' export to publication-ready plots. Integrates unique visual quality control by reconstructing 96-well plate heatmaps, allowing users to instantly detect pipetting errors, edge effects, and outliers. Key features include automated error propagation, laboratory master mix calculations, and generation of bar charts and volcano plots.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, readxl, ggplot2, stringr, plotly
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-17 10:46:00 UTC; shubhamlove
Author: Shubham Love [aut, cre]
Maintainer: Shubham Love <shubhamlove2101@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:50:07 UTC

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New package pipr with initial version 1.4.0
Package: pipr
Title: Client for the Poverty and Inequality Platform ('PIP') API
Version: 1.4.0
Description: An interface to compute poverty and inequality indicators for more than 160 countries and regions from the World Bank's database of household surveys, through the Poverty and Inequality Portal (PIP).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://worldbank.github.io/pipr/, https://github.com/worldbank/pipr
BugReports: https://github.com/worldbank/pipr/issues
Suggests: covr, testthat (>= 3.0.0), spelling, knitr, rmarkdown, markdown, callr, ggplot2, tidyr, ggthemes, forcats, scales, dplyr, readr
Language: en-US
Imports: arrow, attempt, curl, jsonlite, tibble, purrr, cli, rlang, utils, httr2, stringr, vroom
Depends: R (>= 4.1.0)
Date: 2025-12-17
NeedsCompilation: no
Packaged: 2025-12-17 12:14:03 UTC; wb384996
Author: Tony Fujs [aut], Aleksander Eilertsen [aut], Ronak Shah [aut], R.Andres Castaneda [aut, cre], Giorgia Cecchinato [aut], World Bank [cph]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>
Repository: CRAN
Date/Publication: 2025-12-22 18:00:01 UTC

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New package oCELLoc with initial version 1.0.0
Package: oCELLoc
Title: Predicts Suitable Cell Types in Spatial Transcriptomics and scRNA-seq Data
Version: 1.0.0
Description: Picks the suitable cell types in spatial and scRNA-seq data using shrinkage methods. The package includes curated reference gene expression profiles for human and mouse cell types, facilitating immediate application to common spatial transcriptomics or scRNA datasets. Additionally, users can input custom reference data to support tissue- or experiment-specific analyses.
License: MIT + file LICENSE
URL: https://doi.org/10.64898/2025.12.11.693812
Encoding: UTF-8
Imports: glmnet, utils, stats, ggplot2, rlang, reshape2,
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-12-17 06:14:28 UTC; vlaruks
Author: Afeefa Zainab [aut, cre] , Vladyslav Honcharuk [aut] , Alexis Vandenbon [aut]
Maintainer: Afeefa Zainab <afeeffazainab@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:20:02 UTC

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New package enrichit with initial version 0.0.8
Package: enrichit
Title: 'C++' Implementations of Functional Enrichment Analysis
Version: 0.0.8
Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA). The multilevel GSEA algorithm is derived from the 'fgsea' package. Methods are described in Subramanian et al. (2005) <doi:10.1073/pnas.0506580102> and Korotkevich et al. (2021) <doi:10.1101/060012>.
License: Artistic-2.0
Depends: R (>= 3.5.0)
Imports: methods, Rcpp (>= 1.0.10), stats, yulab.utils (> 0.2.1)
LinkingTo: Rcpp
Suggests: AnnotationDbi, clusterProfiler, DOSE, gson, qvalue, quarto, testthat
Encoding: UTF-8
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2025-12-17 01:10:20 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:10:09 UTC

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New package contourforest with initial version 0.1.0
Package: contourforest
Title: Contour-Enhanced Forest Plots for Meta-Analysis
Version: 0.1.0
Description: Provides functions to create contour-enhanced forest plots for continuous and binary outcomes in meta-analysis, including options for prediction intervals, customized colors, and study labeling. Based on 'metafor' and 'ggplot2'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, dplyr, metafor, stringr, grid
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-12-17 11:35:48 UTC; DR. Umar Hussain
Author: Umar Hussain [aut, cre]
Maintainer: Umar Hussain <drumarhussain@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:50:02 UTC

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New package citsr with initial version 0.1.3
Package: citsr
Title: Controlled Interrupted Time Series Analysis and Visualization
Version: 0.1.3
Description: Implements controlled interrupted time series (CITS) analysis for evaluating interventions in comparative time-series data. The package provides tools for preparing panel time-series datasets, fitting models using generalized least squares (GLS) with optional autoregressive–moving-average (ARMA) error structures, and computing fitted values and robust standard errors using cluster-robust variance estimators (CR2). Visualization functions enable clear presentation of estimated effects and counterfactual trajectories following interventions. Background on methods for causal inference in interrupted time series can be found in Linden and Adams (2011) <doi:10.1111/j.1365-2753.2010.01504.x> and Lopez Bernal, Cummins, and Gasparrini (2018) <doi:10.1093/ije/dyy135>.
License: MIT + file LICENSE
Imports: dplyr, nlme, clubSandwich, ggplot2, stats, AICcmodavg
Suggests: knitr, rmarkdown, lmtest, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-17 07:50:07 UTC; Gu
Author: Hanmin Gu [aut, cre]
Maintainer: Hanmin Gu <ghm21zzang@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:20:07 UTC

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Fri, 19 Dec 2025

New package tipse with initial version 1.1
Package: tipse
Title: Tipping Point Analysis for Survival Endpoints
Version: 1.1
Description: Implements tipping point sensitivity analysis for time-to-event endpoints under different missing data scenarios, as described in Oodally et al. (2025) <doi:10.48550/arXiv.2506.19988>. Supports both model-based and model-free imputation, multiple imputation workflows, plausibility assessment and visualizations. Enables robust assessment for regulatory and exploratory analyses.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: MASS, ggplot2, survival, dplyr, stats, utils, knitr, purrr, rmarkdown
VignetteBuilder: knitr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-16 12:58:53 UTC; oodalaj1
Author: Ajmal Oodally [cre, aut] , Craig Wang [aut] , Zheng Li [ctb]
Maintainer: Ajmal Oodally <ajmal.oodally@novartis.com>
Repository: CRAN
Date/Publication: 2025-12-19 20:10:02 UTC

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New package readmit with initial version 0.0.1
Package: readmit
Title: Tools for Working with Hospital Readmissions Data
Version: 0.0.1
Description: Contains tools for working with and analyzing hospital readmissions data. The package provides utilities for components of the Hospital Readmissions Reduction Program (HRRP), including program timeline functions, Hospital-Specific Report (HSR) helpers, and general importing tools for the Provider Data Catalog (PDC).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, readr, readxl, rlang, stringr, tibble, tidyr
Suggests: ggplot2, knitr, purrr, reactable, rmarkdown, testthat (>= 3.0.0)
URL: https://centralstatz.github.io/readmit/, https://github.com/centralstatz/readmit
Depends: R (>= 4.1.0)
LazyData: true
BugReports: https://github.com/centralstatz/readmit/issues
NeedsCompilation: no
Packaged: 2025-12-16 22:54:06 UTC; alexzajichek
Author: Alex Zajichek [aut, cre, cph]
Maintainer: Alex Zajichek <alex@centralstatz.com>
Repository: CRAN
Date/Publication: 2025-12-19 21:00:02 UTC

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New package mapycusmaximus with initial version 1.0.0
Package: mapycusmaximus
Title: Focus-Glue-Context Fisheye Transformations for Spatial Visualization
Version: 1.0.0
Description: Focus-glue-context (FGC) fisheye transformations to two-dimensional coordinates and spatial vector geometries. Implements a smooth radial distortion that enlarges a focal region, transitions through a glue ring, and preserves outside context. Methods build on generalized fisheye views and focus+context mapping. For more details see Furnas (1986) <doi:10.1145/22339.22342>, Furnas (2006) <doi:10.1145/1124772.1124921> and Yamamoto et al. (2009) <doi:10.1145/1653771.1653788>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, sf, lwgeom
Suggests: testthat (>= 3.0.0), dplyr, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.6)
LazyData: true
LazyDataCompression: xz
URL: https://alex-nguyen-vn.github.io/mapycusmaximus/
BugReports: https://github.com/Alex-Nguyen-VN/mapycusmaximus/issues
NeedsCompilation: no
Packaged: 2025-12-16 13:13:36 UTC; thanh
Author: Alex Nguyen [aut, cre, cph], Dianne Cook [aut] , Michael Lydeamore [aut]
Maintainer: Alex Nguyen <thanhcuong10091992@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-19 20:10:07 UTC

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New package hybridEHR with initial version 0.1.0
Package: hybridEHR
Title: Synthetic Hybrid Electronic Health Records Dataset Generator with COVID/CT Research Views
Version: 0.1.0
Maintainer: Dennis Boadu <doboadu@st.ug.edu.gh>
Description: Tools to generate synthetic electronic health records including patients, encounters, vitals, labs, medications, procedures, and allergies, with optional COVID-19-focused and computed tomography (CT)-research views, and export them to comma separated values ('CSV'), 'SQLite', and 'Excel' formats for researchers and developers.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, tidyr, tibble, lubridate, jsonlite, openxlsx, DBI, RSQLite, magrittr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-16 21:34:38 UTC; dennisboadu
Author: Dennis Boadu [aut, cre], Isaac Osei [aut], Justice Appati [aut]
Repository: CRAN
Date/Publication: 2025-12-19 21:00:09 UTC

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New package fitPlotR with initial version 0.1.0
Package: fitPlotR
Title: Plotting Probability Distributions
Version: 0.1.0
Description: Provides functions for plotting probability density functions, distribution functions, survival functions, hazard functions and computing distribution moments. The implementation is inspired by Delignette-Muller and Dutang (2015) <doi:10.18637/jss.v064.i04>.
License: GPL-3
Encoding: UTF-8
Imports: grDevices, graphics, stats
NeedsCompilation: no
Packaged: 2025-12-16 19:17:18 UTC; swiss computer
Author: Muhammad Osama [aut, cre]
Maintainer: Muhammad Osama <muhammadosama0846@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-19 20:50:02 UTC

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New package eVCGsampler with initial version 0.9.2
Package: eVCGsampler
Title: VCG Sampling using Energy-Based Covariate Balancing
Version: 0.9.2
Description: Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: ggplot2
Imports: ggforce, osqp, patchwork
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-16 15:18:45 UTC; I0559285
Author: Andreas Schulz [aut, cre] , Sanofi [cph, fnd]
Maintainer: Andreas Schulz <andreas.schulz2@sanofi.com>
Repository: CRAN
Date/Publication: 2025-12-19 20:10:17 UTC

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New package ECDFniche with initial version 0.1.0
Package: ECDFniche
Title: Empirical Cumulative Distribution Function Niche Modeling Tools
Version: 0.1.0
Description: Simulate ecological niche models using Mahalanobis distance, transform distances to suitability with 1 - empirical cumulative distribution function and 1 - chi-squared, and generate comparison figures.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: ggplot2, lemon, MASS, stats
Suggests: knitr, rmarkdown, roxyglobals, tictoc
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-16 16:17:01 UTC; luizesser
Author: Dayani Bailly [aut] , Marcos R. Lima [aut] , Reginaldo Re [aut] , Luiz Fernando Esser [aut, cre, cph]
Maintainer: Luiz Fernando Esser <luizesser@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-19 20:20:22 UTC

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New package bivarhr with initial version 0.1.5
Package: bivarhr
Title: Bivariate Hurdle Regression with Bayesian Model Averaging
Version: 0.1.5
Description: Provides tools for fitting bivariate hurdle negative binomial models with horseshoe priors, Bayesian Model Averaging (BMA) via stacking, and comprehensive causal inference methods including G-computation, transfer entropy, Threshold Vector Autoregressive (TVAR) and Smooth Transition Autoregressive (STAR) models, Dynamic Bayesian Networks (DBN), Hidden Markov Models (HMM), and sensitivity analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils, grDevices, dplyr (>= 1.1.0), rlang, data.table (>= 1.14.0), tidyr, tibble, readr, cli, furrr, future, future.apply, posterior, loo (>= 2.5.0), progressr
Suggests: cmdstanr, testthat (>= 3.0.0), MASS, RTransferEntropy, bnlearn, depmixS4, sensemakr, CausalImpact, bsts, vars, tsDyn, openxlsx, ggplot2, bayesplot, Rgraphviz
Additional_repositories: https://stan-dev.r-universe.dev
NeedsCompilation: no
Packaged: 2025-12-16 15:52:20 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-12-19 20:20:16 UTC

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New package bayesianOU with initial version 0.1.3
Package: bayesianOU
Title: Bayesian Nonlinear Ornstein-Uhlenbeck Models with Stochastic Volatility
Version: 0.1.3
Description: Fits Bayesian nonlinear Ornstein-Uhlenbeck models with cubic drift, stochastic volatility, and Student-t innovations. The package implements hierarchical priors for sector-specific parameters and supports parallel MCMC sampling via 'Stan'. Model comparison is performed using Pareto Smoothed Importance Sampling Leave-One-Out (PSIS-LOO) cross-validation following Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. Prior specifications follow recommendations from Gelman (2006) <doi:10.1214/06-BA117A> for scale parameters.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, utils
Suggests: cmdstanr, rstan (>= 2.21.0), loo (>= 2.5.0), posterior, ggplot2, tidyr, openxlsx, testthat (>= 3.0.0)
Additional_repositories: https://mc-stan.org/r-packages/
URL: https://github.com/isadorenabi/bayesianOU
BugReports: https://github.com/isadorenabi/bayesianOU/issues
NeedsCompilation: no
Packaged: 2025-12-16 15:09:39 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-12-19 20:10:22 UTC

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New package ambiR with initial version 0.1.1
Package: ambiR
Title: Calculate AZTI’s Marine Biotic Index
Version: 0.1.1
Maintainer: Ciaran J. Murray <cjm@niva-dk.dk>
Description: Calculate AZTI’s Marine Biotic Index - AMBI. The included list of benthic fauna species according to their sensitivity to pollution. Matching species in sample data to the list allows the calculation of fractions of individuals in the different sensitivity categories and thereafter the AMBI index. The Shannon Diversity Index H' and the Danish benthic fauna quality index DKI (Dansk Kvalitetsindeks) can also be calculated, as well as the multivariate M-AMBI index. Borja, A., Franco, J. ,Pérez, V. (2000) "A marine biotic index to establish the ecological quality of soft bottom benthos within European estuarine and coastal environments" <doi:10.1016/S0025-326X(00)00061-8>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: spelling, testthat (>= 3.0.0), usethis, devtools, knitr, rmarkdown, ggplot2, scales
Depends: R (>= 3.5)
Imports: dplyr, tidyr, cli, magrittr, utils, stats
URL: https://niva-denmark.github.io/ambiR/, https://github.com/niva-denmark/ambiR/, https://github.com/NIVA-Denmark/ambiR
BugReports: https://github.com/NIVA-Denmark/ambiR/issues
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2025-12-16 18:19:29 UTC; CJM
Author: Ciaran J. Murray [aut, cre, cph] , Angel Borja [aut] , Sarai Pouso [aut] , Inigo Muxika [aut] , Joxe Mikel Garmendia [aut] , Steen Knudsen [ctb] , GES4SEAS [fnd]
Repository: CRAN
Date/Publication: 2025-12-19 20:30:02 UTC

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New package HZIP with initial version 0.1.1
Package: HZIP
Title: Likelihood-Based Inference for Joint Modeling of Correlated Count and Binary Outcomes with Extra Variability and Zeros
Version: 0.1.1
Author: Lizandra C. Fabio [aut], Jalmar M. F. Carrasco [aut, cre], Victor H. Lachos [aut], Ming-Hui Chen [aut]
Maintainer: Jalmar M. F. Carrasco <carrasco.jalmar@ufba.br>
Description: Inference approach for jointly modeling correlated count and binary outcomes. This formulation allows simultaneous modeling of zero inflation via the Bernoulli component while providing a more accurate assessment of the Hierarchical Zero-Inflated Poisson's parsimony (Lizandra C. Fabio, Jalmar M. F. Carrasco, Victor H. Lachos and Ming-Hui Chen, Likelihood-based inference for joint modeling of correlated count and binary outcomes with extra variability and zeros, 2025, under submission).
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppParallel, RcppArmadillo
Imports: Rcpp, Formula, pscl, stats, tibble, dplyr, statmod, RcppParallel, cubature, VGAM, ggplot2
Depends: R (>= 3.5)
URL: https://github.com/carrascojalmar/HZIP
BugReports: https://github.com/carrascojalmar/HZIP/issues
NeedsCompilation: yes
Packaged: 2025-12-19 14:10:57 UTC; carra
Repository: CRAN
Date/Publication: 2025-12-19 17:10:15 UTC

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New package WaterBalanceR with initial version 0.1.19
Package: WaterBalanceR
Title: Calculate High Resolution Water Balance of Starch Potatoes
Version: 0.1.19
Description: Calculates the water balance of starch potatoes from Normalized Distance Vegetation Index (NDVI) images, German Weather Service (DWD) reference evapotranspiration, German Weather Service RADOLAN precipitation data and irrigation information. For more details see Piernicke et al. (2025) <doi:10.3390/rs17183227>.
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: raster, sf, janitor, zoo, lubridate, stars, ggplot2, tidyr, rdwd, utils, terra, gridExtra, httr, RSelenium, stringr, rvest, sp, geosphere, RCurl, grDevices, tidyselect, openeo, magrittr, jsonlite, dplyr, readxl, scales, methods, rlang
URL: https://doi.org/10.5281/zenodo.15046338, https://github.com/thomasp-gfz/WaterBalanceR_JOSS
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-12-15 14:23:26 UTC; asinus
Author: Thomas Piernicke [aut, cre]
Maintainer: Thomas Piernicke <thomasp@gfz.de>
Repository: CRAN
Date/Publication: 2025-12-19 15:10:02 UTC

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New package ukc19 with initial version 0.0.3
Package: ukc19
Title: Datasets from the UK COVID-19 Outbreak
Version: 0.0.3
Description: Provides easy access to a curated selection of pre-processed data sets relevant to the COVID-19 outbreak in the UK for teaching and demonstration purposes.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Language: en-GB
URL: https://ai4ci.github.io/ukc19/, https://github.com/ai4ci/ukc19
Imports: dplyr
NeedsCompilation: no
Packaged: 2025-12-15 16:58:03 UTC; vp22681
Author: Robert Challen [aut, cre] , AI4CI Hub; UKRI AI Programme and EPSRC [fnd, cph]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-19 15:20:02 UTC

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New package MetaRVM with initial version 1.0.0
Package: MetaRVM
Title: Meta-Population Compartmental Model for Respiratory Virus Diseases
Version: 1.0.0
Description: Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) <doi:10.1101/2025.05.05.25327021>. 'MetaRVM' implements a stochastic SEIRD (Susceptible-Exposed-Infected-Recovered-Dead) framework with demographic stratification by age, race, and geographic zones. It supports complex epidemiological scenarios including asymptomatic and presymptomatic transmission, hospitalization dynamics, vaccination schedules, and time-varying contact patterns via mixing matrices.
URL: https://RESUME-Epi.github.io/MetaRVM/, https://github.com/RESUME-Epi/MetaRVM
BugReports: https://github.com/RESUME-Epi/MetaRVM/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: data.table, dplyr, ggplot2, magrittr, methods, odin, purrr, R6, tidyr, yaml
Suggests: dde, knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-12-15 20:20:43 UTC; fadikar
Author: Arindam Fadikar [aut, cre, cph] , Charles Macal [ctb], Martinez Moyano Ignacio Javier [ctb], Ozik Jonathan [ctb]
Maintainer: Arindam Fadikar <afadikar@anl.gov>
Repository: CRAN
Date/Publication: 2025-12-19 15:20:13 UTC

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New package LSMjml with initial version 0.6.0
Package: LSMjml
Title: Fitting Latent Space Item Response Models using Joint Maximum Likelihood Estimation
Version: 0.6.0
Author: Dylan Molenaar [aut, cre]
Maintainer: Dylan Molenaar <d.molenaar@uva.nl>
Description: In Latent Space Item Response Models, subjects and items are embedded in a multidimensional Euclidean latent space. As such, interactions among persons, items, and person-item combinations can be revealed that are unmodelled in more conventional item response theory models. This package implements the methods from Molenaar & Jeon (in press) and can be used to fit Latent Space Item Response Models to data using joint maximum likelihood estimation. The package can handle binary data, ordinal data, and data with mixed scales. The package incorporates facilities for data simulation, rotation of the latent space, and K-fold cross-validation to select the number of dimensions of the latent space.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.12), lavaan, pROC, psych
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-12-15 14:34:34 UTC; dmolena1
Repository: CRAN
Date/Publication: 2025-12-19 15:10:08 UTC

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New package wmwAUC with initial version 0.2.0
Package: wmwAUC
Title: Wilcoxon-Mann-Whitney Test of No Group Discrimination
Version: 0.2.0
Date: 2025-12-07
Description: Provides inference for the Wilcoxon-Mann-Whitney test under the null hypothesis H0: AUC = 0.5 for continuous, discrete or mixed random variables. Traditional implementations test H0: F = G, which is inappropriately broad and leads to erroneous inferences. Methods are described in M. Grendar (2025) "Wilcoxon-Mann-Whitney Test of No Group Discrimination" <doi:10.48550/arXiv.2511.20308>.
License: MIT + file LICENSE
URL: https://github.com/grendar/wmwAUC
BugReports: https://github.com/grendar/wmwAUC/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0), ggsci, viridis, gemR, gss, knitr, rmarkdown, ggbeeswarm, ggplot2, qqplotr, rlang, twosamples, patchwork, sfsmisc, stats, VGAM
NeedsCompilation: no
Packaged: 2025-12-14 20:01:00 UTC; mg
Author: Marian Grendar [aut, cre]
Maintainer: Marian Grendar <marian.grendar@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-19 14:20:02 UTC

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New package ReVAMP with initial version 1.0.0
Package: ReVAMP
Title: Interface to 'Vamp' Audio Analysis Plugins
Version: 1.0.0
Date: 2025-12-03
Copyright: See the file COPYRIGHTS
Description: Provides an interface to the 'Vamp' audio analysis plugin system <https://www.vamp-plugins.org/> developed by Queen Mary University of London's Centre for Digital Music. Enables loading and running Vamp plugins for various audio analysis tasks including tempo detection, onset detection, spectral analysis, and audio feature extraction. Supports mono and stereo audio with automatic channel adaptation and domain conversion.
License: GPL (>= 2)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), tuneR, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://revamp.ebaker.me.uk/, https://github.com/edwbaker/ReVAMP
BugReports: https://github.com/edwbaker/ReVAMP/issues
Language: en-US
NeedsCompilation: yes
Packaged: 2025-12-14 21:02:22 UTC; edwab
Author: Ed Baker [aut, cre] , Authors of vamp-sdk [cph] , Mark Borgerding [cph]
Maintainer: Ed Baker <ed@ebaker.me.uk>
Repository: CRAN
Date/Publication: 2025-12-19 14:20:08 UTC

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New package quickOutlier with initial version 0.1.0
Package: quickOutlier
Title: Detect and Treat Outliers in Data Mining
Version: 0.1.0
Description: Implements a suite of tools for outlier detection and treatment in data mining. It includes univariate methods (Z-score, Interquartile Range), multivariate detection using Mahalanobis distance, and density-based detection (Local Outlier Factor) via the 'dbscan' package. It also provides functions for visualization using 'ggplot2' and data cleaning via Winsorization.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dbscan, ggplot2, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/daniellop1/quickOutlier
BugReports: https://github.com/daniellop1/quickOutlier/issues
NeedsCompilation: no
Packaged: 2025-12-15 12:16:19 UTC; dlopez
Author: Daniel Lopez Perez [aut, cre]
Maintainer: Daniel Lopez Perez <dlopez350@icloud.com>
Repository: CRAN
Date/Publication: 2025-12-19 15:00:02 UTC

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New package f1pits with initial version 0.1.0
Package: f1pits
Title: F1 Pit Stop Datasets
Version: 0.1.0
Maintainer: Jose Jordan-Soria <jjose.jjordan@gmail.com>
Description: Formula 1 pit stop data. The package provides information on teams and drivers across seasons (2025 or higher). It also includes a function to visualize pit stop performance.
Imports: dplyr, ggplot2, readr, tibble, httr, jsonlite, f1dataR
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-14 12:09:15 UTC; Jose
Author: Jose Jordan-Soria [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-19 14:10:02 UTC

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New package deliberr with initial version 0.1.0
Package: deliberr
Title: Methods for Deliberation Analysis
Version: 0.1.0
URL: https://github.com/gumbelino/deliberr, https://gumbelin.shinyapps.io/deliberr
BugReports: https://github.com/gumbelino/deliberr/issues
Description: An implementation of deliberative reasoning index (DRI) and related tools for analysis of deliberation survey data. Calculation of DRI, plot of intersubjective correlations (IC), generation of large-language model (LLM) survey data, and permutation tests are supported. Example datasets and a graphical user interface (GUI) are also available to support analysis. For more information, see Niemeyer and Veri (2022) <doi:10.1093/oso/9780192848925.003.0007>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stats, dplyr, shiny, tibble, ggplot2, rstatix, grid, psych, tidyr, rlang, glue, httr, purrr, readr, jsonlite, lifecycle, uuid,
Suggests: DT, gridExtra, knitr, readxl, rmarkdown
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-12-15 06:51:16 UTC; gus
Author: Gustavo Kreia Umbelino [aut, cre] , Francesco Veri [aut] , Swiss National Science Foundation [fnd]
Maintainer: Gustavo Kreia Umbelino <gustavo.kreiaumbelino@zda.uzh.ch>
Repository: CRAN
Date/Publication: 2025-12-19 14:50:02 UTC

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New package colleyRstats with initial version 0.0.1
Package: colleyRstats
Title: Functions to Streamline Statistical Analysis and Reporting
Version: 0.0.1
Description: Built upon popular R packages such as 'ggstatsplot' and 'ARTool', this collection offers a wide array of tools for simplifying reproducible analyses, generating high-quality visualizations, and producing 'APA'-compliant outputs. The primary goal of this package is to significantly reduce repetitive coding efforts, allowing you to focus on interpreting results. Whether you're dealing with ANOVA assumptions, reporting effect sizes, or creating publication-ready visualizations, this package makes these tasks easier.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: ARTool, car, clipr, conflicted, dplyr (>= 1.1.4), effectsize (>= 1.0.1), FSA, ggplot2 (>= 4.0.1), ggpmisc (>= 0.6.3), ggsignif, ggstatsplot (>= 0.13.4), ggtext, purrr, readxl, report (>= 0.6.1), rlang, rstatix, see, stats, stringr, tidyr, utils, writexl, xtable
Suggests: afex, BayesFactor, bayestestR, Cairo, dunn.test, DT, emmeans, emoa, flexdashboard, Hmisc, moocore (>= 0.1.10), nparLD, psych, reporttools, rstantools, scales, sjPlot, stargazer, styler, tibble, testthat (>= 3.3.0)
NeedsCompilation: no
Packaged: 2025-12-15 11:14:44 UTC; Mark
Author: Mark Colley [aut, cre, cph]
Maintainer: Mark Colley <mark.colley@yahoo.de>
Repository: CRAN
Date/Publication: 2025-12-19 15:00:07 UTC

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New package DPCD with initial version 0.0.1
Package: DPCD
Title: Dirichlet Process Clustering with Dissimilarities
Version: 0.0.1
Description: A Bayesian hierarchical model for clustering dissimilarity data using the Dirichlet process. The latent configuration of objects and the number of clusters are automatically inferred during the fitting process. The package supports multiple models which are available to detect clusters of various shapes and sizes using different covariance structures. Additional functions are included to ensure adequate model fits through prior and posterior predictive checks.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, bayesplot, mcclust, cluster, truncnorm
Suggests: spelling,
Depends: nimble, R (>= 3.5)
URL: https://github.com/SamMorrissette/DPCD
BugReports: https://github.com/SamMorrissette/DPCD/issues
Language: en-US
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-12-14 02:22:35 UTC; samue
Author: Sam Morrissette [cph, aut, cre]
Maintainer: Sam Morrissette <samuel.morrissette01@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-19 14:00:02 UTC

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Thu, 18 Dec 2025

New package tlsR with initial version 0.1.2
Package: tlsR
Title: Detection and Spatial Analysis of Tertiary Lymphoid Structures
Version: 0.1.2
Description: Fast, reproducible detection and quantitative analysis of tertiary lymphoid structures (TLS) in multiplexed tissue imaging. Implements Independent Component Analysis Trace (ICAT) index, local Ripley's K scanning, automated K Nearest Neighbor (KNN)-based TLS detection, and T-cell clusters identification as described in Amiryousefi et al. (2025) <doi:10.1101/2025.09.21.677465>.
Note: TLS, ICAT, KNN are correct technical acronyms.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: fastICA, spatstat.geom, spatstat.explore, dbscan, RANN, grDevices, graphics, stats, utils
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-12-13 18:00:49 UTC; aliamiryousefi
Author: Ali Amiryousefi [aut, cre] , Jeremiah Wala [aut] , Peter Sorger [ctb]
Maintainer: Ali Amiryousefi <ali_amiryousefi@hms.harvard.edu>
Repository: CRAN
Date/Publication: 2025-12-18 14:40:03 UTC

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New package splinetrials with initial version 0.1.0
Package: splinetrials
Title: Facilitate Clinical Trials Analysis Using Natural Cubic Splines
Version: 0.1.0
Description: Create mixed models with repeated measures using natural cubic splines applied to an observed continuous time variable, as described by Donohue et al. (2023) <doi:10.1002/pst.2285>. Iterate through multiple covariance structure types until one converges. Categorize observed time according to scheduled visits. Perform subgroup analyses.
License: Apache License (>= 2)
URL: https://github.com/NikKrieger/splinetrials, https://nikkrieger.github.io/splinetrials/
BugReports: https://github.com/NikKrieger/splinetrials/issues
Imports: car, cli, dplyr, emmeans, mmrm (>= 0.3.16), rlang, splines
Suggests: ggplot2, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-13 03:28:46 UTC; nik
Author: Nik Krieger [aut, cre], Daniel Sabanes Bove [ctb], Eli Lilly and Company [cph]
Maintainer: Nik Krieger <nikkrieger@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-18 14:20:02 UTC

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New package richCluster with initial version 1.0.2
Package: richCluster
Title: Fast, Robust Clustering Algorithms for Gene Enrichment Data
Version: 1.0.2
Date: 2025-12-12
Maintainer: Junguk Hur <hurlabshared@gmail.com>
Description: Fast 'C++' agglomerative hierarchical clustering algorithm packaged into easily callable R functions, designed to help cluster biological terms based on how similar of genes are expressed in their activation.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: dplyr, fields, heatmaply, igraph, iheatmapr, magrittr, networkD3, plotly, Rcpp (>= 1.0.14), stats, tidyr, viridis
Suggests: devtools, knitr, rmarkdown, roxygen2, testthat
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/hurlab/richCluster
BugReports: https://github.com/hurlab/richCluster/issues
NeedsCompilation: yes
Packaged: 2025-12-13 16:02:22 UTC; juhur
Author: Junguk Hur [aut, cre] , Sarah Hong [aut], Jane Kim [aut]
Repository: CRAN
Date/Publication: 2025-12-18 14:30:02 UTC

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New package nullcat with initial version 0.1.0
Package: nullcat
Title: Null Models for Categorical and Continuous Community Matrices
Version: 0.1.0
Description: Provides null model algorithms for categorical and quantitative community ecology data. Extends classic binary null models (e.g., 'curveball', 'swap') to work with categorical data. Provides a stratified randomization framework for continuous data.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vegan
URL: https://github.com/matthewkling/nullcat, https://matthewkling.github.io/nullcat/
BugReports: https://github.com/matthewkling/nullcat/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-12-13 17:56:32 UTC; matthewkling
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>
Repository: CRAN
Date/Publication: 2025-12-18 14:30:07 UTC

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New package insetplot with initial version 1.3.0
Package: insetplot
Title: Inset Plots for Spatial Data Visualization
Version: 1.3.0
Description: Tools for easily and flexibly creating 'ggplot2' maps with inset maps. One crucial feature of maps is that they have fixed coordinate ratios, i.e., they cannot be distorted, which makes it difficult to manually place inset maps. This package provides functions to automatically position inset maps based on user-defined parameters, making it extremely easy to create maps with inset maps with minimal code.
License: GPL (>= 2)
Encoding: UTF-8
Imports: sf, ggplot2, patchwork,
Suggests: testthat, knitr, rmarkdown, cowplot
VignetteBuilder: knitr
BugReports: https://github.com/fncokg/insetplot/issues
URL: https://fncokg.github.io/insetplot/
NeedsCompilation: no
Packaged: 2025-11-12 14:46:59 UTC; kongc
Author: Chao Kong [aut, cre, cph]
Maintainer: Chao Kong <kongchao1998@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-18 14:30:12 UTC

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New package HMMHSMM with initial version 0.1.0
Package: HMMHSMM
Title: Inference and Estimation of Hidden Markov Models and Hidden Semi-Markov Models
Version: 0.1.0
Maintainer: Ting Wang <ting.wang@otago.ac.nz>
Description: Provides flexible maximum likelihood estimation and inference for Hidden Markov Models (HMMs) and Hidden Semi-Markov Models (HSMMs), as well as the underlying systems in which they operate. The package supports a wide range of observation and dwell-time distributions, offering a flexible modelling framework suitable for diverse practical data. Efficient implementations of the forward-backward and Viterbi algorithms are provided via 'Rcpp' for enhanced computational performance. Additional functionality includes model simulation, residual analysis, non-initialised estimation, local and global decoding, calculation of diverse information criteria, computation of confidence intervals using parametric bootstrap methods, numerical covariance matrix estimation, and comprehensive visualisation functions for interpreting the data-generating processes inferred from the models. Methods follow standard approaches described by Guédon (2003) <doi:10.1198/1061860032030>, Zucchini and MacDonald [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.0), evd, extRemes, stats, MASS, mnormt, grDevices, graphics, utils
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2025-12-12 19:13:26 UTC; aimee
Author: Aimee Cody [aut], Ting Wang [cre, ctb]
Repository: CRAN
Date/Publication: 2025-12-18 14:20:10 UTC

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New package havel with initial version 0.1.2
Package: havel
Title: Visualize and Tabulate 'R' Package Dependencies
Version: 0.1.2
Description: Plot an 'R' package's recursive dependency graph and tabulate the number of unique downstream dependencies added by top-level dependencies. This helps 'R' package developers identify which of their declared dependencies add the most downstream dependencies in order to prioritize them for removal if needed. Uses graph stress minimization adapted from Schoch (2023) <doi:10.21105/joss.05238> and originally reported in Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp
Depends: R (>= 4.1.0)
Imports: cli, collapse, cppRouting, data.table, graphics, grDevices, grid, methods, pak, Rcpp, rlang, stats, tools, utils
Suggests: ggplot2, ggraph, igraph, pals, tinytest
LazyData: true
URL: https://github.com/andrewGhazi/havel
BugReports: https://github.com/andrewGhazi/havel/issues
NeedsCompilation: yes
Packaged: 2025-12-12 15:50:18 UTC; ghazi
Author: Andrew Ghazi [aut, cre, cph], David Schoch [cph]
Maintainer: Andrew Ghazi <andrew_ghazi@hms.harvard.edu>
Repository: CRAN
Date/Publication: 2025-12-18 14:10:02 UTC

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New package ggrecipes with initial version 0.1.0
Package: ggrecipes
Title: Recipes for Data Visualization
Version: 0.1.0
Description: A collection of custom 'ggplot2'-based visualizations for data exploration and analysis. Each function handles data preprocessing and returns a object that can be further customized using standard 'ggplot2' syntax.
License: MIT + file LICENSE
URL: https://github.com/Ignophi/ggrecipes, https://ignophi.github.io/ggrecipes/
BugReports: https://github.com/Ignophi/ggrecipes/issues
Imports: ggplot2, patchwork, ggrepel, scales, lifecycle
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-12 19:16:49 UTC; user
Author: Ignophi Hu [aut, cre, cph]
Maintainer: Ignophi Hu <ignophi.hu@pm.me>
Repository: CRAN
Date/Publication: 2025-12-18 14:10:08 UTC

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New package blockr.ggplot with initial version 0.1.0
Package: blockr.ggplot
Title: Interactive 'ggplot2' Visualization Blocks
Version: 0.1.0
Description: Extends 'blockr.core' with interactive blocks for data visualization using 'ggplot2'. Users can build charts through a graphical interface without writing code directly. Includes common chart types (bar charts, line charts, pie charts, scatter plots) as well as statistical plots (boxplots, histograms, density plots, violin plots) with rich customization options and intuitive user interfaces.
URL: https://bristolmyerssquibb.github.io/blockr.ggplot/
BugReports: https://github.com/BristolMyersSquibb/blockr.ggplot/issues
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: blockr.core (>= 0.1.1), colourpicker, ggplot2, glue, patchwork, shiny, shinyjs, shinyWidgets
Suggests: cowplot, ggpubr, ggthemes, knitr, pkgdown, rmarkdown, rlang, shinytest2, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-12 16:24:11 UTC; christophsax
Author: Christoph Sax [aut, cre] , Nicolas Bennett [aut], David Granjon [aut], Mike Page [aut], Bristol Myers Squibb [fnd]
Maintainer: Christoph Sax <christoph@cynkra.com>
Repository: CRAN
Date/Publication: 2025-12-18 14:10:15 UTC

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New package blockr.dplyr with initial version 0.1.0
Package: blockr.dplyr
Title: Interactive 'dplyr' Data Transformation Blocks
Version: 0.1.0
Description: Extends 'blockr.core' with interactive blocks for visual data wrangling using 'dplyr' and 'tidyr' operations. Users can build data transformation pipelines through a graphical interface without writing code directly. Includes blocks for filtering, selecting, mutating, summarizing, joining, and arranging data, with support for complex expressions, grouping operations, and real-time validation.
URL: https://bristolmyerssquibb.github.io/blockr.dplyr/
BugReports: https://github.com/BristolMyersSquibb/blockr.dplyr/issues
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: shiny, blockr.core (>= 0.1.1), dplyr, tidyr, shinyAce, glue, htmltools, bslib, jsonlite, shinyjs, utils, datasets
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-13 09:53:07 UTC; christophsax
Author: Christoph Sax [aut, cre] , Nicolas Bennett [aut], David Granjon [aut], Mike Page [aut], Bristol Myers Squibb [fnd]
Maintainer: Christoph Sax <christoph@cynkra.com>
Repository: CRAN
Date/Publication: 2025-12-18 14:30:18 UTC

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New package spaAlign with initial version 0.0.5
Package: spaAlign
Title: Stratigraphic Plug Alignment for Integrating Plug-Based and XRF Data
Version: 0.0.5
Description: Implements the Stratigraphic Plug Alignment (SPA) procedure for integrating sparsely sampled plug-based measurements (e.g., total organic carbon, porosity, mineralogy) with high-resolution X-ray fluorescence (XRF) geochemical data. SPA uses linear interpolation via the base approx() function with constrained extrapolation (rule = 1) to preserve stratigraphic order and avoid estimation beyond observed depths. The method aligns all datasets to a common depth grid, enabling high-resolution multivariate analysis and stratigraphic interpretation of core-based datasets such as those from the Utica and Point Pleasant formations. See R Core Team (2025) <https://stat.ethz.ch/R-manual/R-devel/library/stats/html/stats-package.html> and Omodolor (2025) <http://rave.ohiolink.edu/etdc/view?acc_num=case175262671767524> for methodological background and geological context.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-12-12 02:40:16 UTC; hxo76
Author: Hope E. Omodolor [aut, cre] , Jeffrey M. Yarus [aut]
Maintainer: Hope E. Omodolor <hopeomodolor@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-18 13:40:02 UTC

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New package quantbayes with initial version 0.1.0
Package: quantbayes
Title: Bayesian Quantification of Evidence Sufficiency
Version: 0.1.0
License: MIT + file LICENSE
Language: en-GB
Description: Implements the Quantification Evidence Standard algorithm for computing Bayesian evidence sufficiency from binary evidence matrices. It provides posterior estimates, credible intervals, percentiles, and optional visual summaries. The method is universal, reproducible, and independent of any specific clinical or rule based framework. For details see The Quantitative Omics Epidemiology Group et al. (2025) <doi:10.64898/2025.12.02.25341503>.
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: ggplot2, tibble, dplyr, tidyr, purrr, stats, grDevices
Suggests: knitr, rmarkdown, tidyverse
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-12 10:29:44 UTC; akira
Author: Dylan Lawless [aut, cre, cph]
Maintainer: Dylan Lawless <admin@switzerlandomics.ch>
Repository: CRAN
Date/Publication: 2025-12-18 14:00:02 UTC

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New package ProfileGLMM with initial version 1.0.2
Package: ProfileGLMM
Title: Bayesian Profile Regression using Generalised Linear Mixed Models
Version: 1.0.2
Description: Implements a Bayesian profile regression using a generalized linear mixed model as output model. The package allows for binary (probit mixed model) and continuous (linear mixed model) outcomes and both continuous and categorical clustering variables. The package utilizes 'RcppArmadillo' and 'RcppDist' for high-performance statistical computing in C++. For more details see Amestoy & al. (2025) <doi:10.48550/arXiv.2510.08304>.
License: GPL-2
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Imports: Rcpp, LaplacesDemon, MCMCpack, Matrix, Spectrum, mvtnorm
Depends: R (>= 3.5)
URL: https://github.com/MatteoAmestoy/ProfileGLMM-package
BugReports: https://github.com/MatteoAmestoy/ProfileGLMM-package/issues
NeedsCompilation: yes
Packaged: 2025-12-12 10:41:45 UTC; VNOB-0731
Author: Matteo Amestoy [aut, cre, cph], Mark van de Wiel [ths], Wessel van Wieringen [ths]
Maintainer: Matteo Amestoy <m.amestoy@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2025-12-18 13:50:07 UTC

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New package DQA with initial version 0.1.0
Package: DQA
Title: Data Quality Assessment Tools
Version: 0.1.0
Description: In the context of data quality assessment, this package provides a number of functions for evaluating data quality across various dimensions, including completeness, plausibility, concordance, conformance, currency, timeliness, and correctness. It has been developed based on two well-known frameworks—Michael G. Kahn (2016) <doi: 10.13063/2327-9214.1244> and Nicole G. Weiskopf (2017) <doi: 10.5334/egems.218>—for data quality assessment. Using this package, users can evaluate the quality of their datasets, provided that corresponding metadata are available.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: ggplot2, data.table
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-12 11:12:36 UTC; ELHAM
Author: Hamed Tabesh [aut], Elham Hosseinzadeh [aut, cre], Marziyeh Afkanpour [aut]
Maintainer: Elham Hosseinzadeh <elham.hh2012@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-18 13:50:22 UTC

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New package Dimodal with initial version 1.0.0
Package: Dimodal
Version: 1.0.0
Date: 2025-11-20
Title: Spacing Tests for Multi-Modality
Copyright: Primordial Machine Vision Systems, Inc.
Maintainer: Greg Kreider <support@primachvis.com>
Description: Tests for modality of data using its spacing. The main approach evaluates features (peaks, flats) using a combination of parametric models and non-parametric tests, either after smoothing the spacing by a low-pass filter or by looking over larger intervals. The library can also use any changepoint detectors available to look for transitions between features in the spacing. The Suggested list of libraries is misnamed. It contains all supported changepoint detectors, and all are considered optional. A good minimal set would be the first three entries. Some of the suggestions may no longer be current on CRAN, with the last source tarball found in its archives or at the additional repository. These packages will be used if they are already installed on older installations, but will not be available to newer.
License: BSD_3_clause + file LICENSE
NeedsCompilation: yes
Depends: statmod
Suggests: changepoint.np, ICSS, jointseg, anomaly, astsa, bcp, breakfast, bwd, ccid, changepoint, cpm, cpss, ecp, mosum, ocp, otsad, Rbeast, strucchange
Additional_repositories: https://www.primachvis.com/data/Rpkg
Packaged: 2025-12-12 13:34:20 UTC; kreider
Author: Greg Kreider [aut, cre], Melissa O'Neill [cph], Primordial Machine Vision Systems, Inc. [cph]
Repository: CRAN
Date/Publication: 2025-12-18 14:00:07 UTC

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New package calba with initial version 0.1.2
Package: calba
Title: Efficient Neighborhood Basal Area Metrics for Trees
Version: 0.1.2
Description: Fast 'C++'-backed tools for computing conspecific and total neighborhood basal area in mapped forest plots. Includes unweighted and distance-weighted neighborhoods, multiple radii, decay kernels, and basic edge correction. Outputs are model-ready covariates for forest competition, growth, and survival models, following neighborhood modeling workflows commonly used in spatial ecology (e.g., Hülsmann et al. 2024 <doi:10.1038/s41586-024-07118-4>).
License: GPL-3
BugReports: https://github.com/mattocci27/calba/issues
Encoding: UTF-8
Imports: Rcpp
Suggests: testthat (>= 3.1.0), knitr, rmarkdown, ggplot2
LinkingTo: Rcpp
Maintainer: Masatoshi Katabuchi <mattocci27@gmail.com>
Author: Masatoshi Katabuchi [aut, cre]
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-12-12 02:09:47 UTC; mattocci
Repository: CRAN
Date/Publication: 2025-12-18 13:40:07 UTC

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New package blockr.dag with initial version 0.1.0
Package: blockr.dag
Title: A Directed Acyclic Graph Extension for 'blockr'
Version: 0.1.0
Description: Building on the docking layout manager provided by 'blockr.dock', this provides an extension that allows for visualizing and manipulating a 'blockr' board using a DAG-based user interface powered by the 'g6R' graph visualisation HTML widget.
License: GPL (>= 3)
Encoding: UTF-8
Imports: blockr.core (>= 0.1.1), blockr.dock, shiny, g6R (>= 0.5.0), jsonlite, htmltools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), roxy.shinylive, webshot2, quarto, cyclocomp, shinytest2, colorspace
URL: https://bristolmyerssquibb.github.io/blockr.dag/
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2025-12-12 08:55:54 UTC; davidgranjon
Author: David Granjon [aut, cre], Nicolas Bennett [aut], Christoph Sax [aut], Bristol Myers Squibb [fnd]
Maintainer: David Granjon <david@cynkra.com>
Repository: CRAN
Date/Publication: 2025-12-18 13:50:02 UTC

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Wed, 17 Dec 2025

New package gooseR with initial version 0.1.0
Package: gooseR
Title: R Integration for 'Goose' AI
Version: 0.1.0
Description: Seamless integration between R and 'Goose' AI capabilities including memory management, visualization enhancements, and workflow automation. Save R objects to 'Goose' memory, apply Block branding to visualizations, and manage data science project workflows. For more information about 'Goose' AI, see <https://github.com/block/goose>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0), dplyr, markdown, stringr, htmltools, DT, RSQLite, clipr, janitor
Imports: cli, fs, here, jsonlite, magrittr, purrr, ggplot2, yaml, grDevices, systemfonts, processx, DBI, digest, future, future.apply, promises, glue, R6, rappdirs, later, shiny, miniUI, rstudioapi, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-11 22:28:08 UTC; btheriault
Author: Brandon Theriault [aut, cre]
Maintainer: Brandon Theriault <btheriault@block.xyz>
Repository: CRAN
Date/Publication: 2025-12-17 15:00:02 UTC

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New package emreliability with initial version 1.0.0
Package: emreliability
Title: Test Reliability and CSEM in Educational Measurement
Version: 1.0.0
Maintainer: Huan Liu <liuhuanbnu@gmail.com>
Description: Provides functions for computing test reliability and conditional standard error of measurement (CSEM) based on the methods described in the Reliability in Educational Measurement chapter of the 5th edition of "Educational Measurement" by Lee and Harris (2025, ISBN:9780197654965).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: ggplot2, rlang
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-11 21:25:49 UTC; liuh
Author: Huan Liu [aut, cre, cph], Won-Chan Lee [aut], Min Liang [aut]
Repository: CRAN
Date/Publication: 2025-12-17 14:50:02 UTC

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New package thisplot with initial version 0.3.1
Package: thisplot
Title: Utility Functions for Plotting
Version: 0.3.1
Date: 2025-12-11
Maintainer: Meng Xu <mengxu98@qq.com>
Description: Provides utility functions for plotting. Includes functions for color manipulation, plot customization, panel size control, data optimization for plots, and layout adjustments.
License: MIT + file LICENSE
URL: https://mengxu98.github.io/thisplot/
BugReports: https://github.com/mengxu98/thisplot/issues
Depends: R (>= 4.1.0)
Imports: cli, ggplot2, gtable, htmltools, igraph, methods, patchwork, stats, thisutils, utils
Suggests: grDevices, grid, png, ragg
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-11 12:19:55 UTC; mx
Author: Meng Xu [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-17 10:10:02 UTC

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New package simFastBOIN with initial version 1.3.2
Package: simFastBOIN
Title: Fast Bayesian Optimal Interval Design for Phase I Dose-Finding Trials
Version: 1.3.2
Date: 2025-12-06
Description: Conducting Bayesian Optimal Interval (BOIN) design for phase I dose-finding trials. 'simFastBOIN' provides functions for pre-computing decision tables, conducting trial simulations, and evaluating operating characteristics. The package uses vectorized operations and the Iso::pava() function for isotonic regression to achieve efficient performance while maintaining full compatibility with BOIN methodology. Version 1.3.2 adds p_saf and p_tox parameters for customizable safety and toxicity thresholds. Version 1.3.1 fixes Date field. Version 1.2.1 adds comprehensive 'roxygen2' documentation and enhanced print formatting with flexible table output options. Version 1.2.0 integrated C-based PAVA for isotonic regression. Version 1.1.0 introduced conservative MTD selection (boundMTD) and flexible early stopping rules (n_earlystop_rule). Methods are described in Liu and Yuan (2015) <doi:10.1111/rssc.12089>.
License: MIT + file LICENSE
Imports: knitr, kableExtra, Iso, stats
Suggests: testthat (>= 3.0.0), rmarkdown
Encoding: UTF-8
Language: en-US
URL: https://github.com/gosukehommaEX/simFastBOIN
BugReports: https://github.com/gosukehommaEX/simFastBOIN/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-11 14:05:14 UTC; i_lik
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-17 10:20:02 UTC

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New package shinyfilters with initial version 0.1.0
Package: shinyfilters
Title: Use Shiny to Filter Data
Version: 0.1.0
Description: Provides an interface to 'shiny' inputs used for filtering vectors, data.frames, and other objects. 'S7'-based implementation allows for seamless extensibility.
License: MIT + file LICENSE
Imports: methods, S7 (>= 0.2.0), shiny
Suggests: bslib, DT, htmltools, knitr, rmarkdown, shinyWidgets, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://joshwlivingston.github.io/shinyfilters/, https://github.com/joshwlivingston/shinyfilters
BugReports: https://github.com/joshwlivingston/shinyfilters/issues
NeedsCompilation: no
Packaged: 2025-12-11 14:25:32 UTC; Josh Livingston
Author: Josh Livingston [cre, aut]
Maintainer: Josh Livingston <joshwlivingston@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-17 10:20:08 UTC

More information about shinyfilters at CRAN
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New package quanteda.tidy with initial version 0.4
Package: quanteda.tidy
Title: 'tidyverse' Extensions for 'quanteda'
Version: 0.4
Description: Enables 'tidyverse' operations on 'quanteda' corpus objects by extending 'dplyr' verbs to work directly with corpus objects and their document-level variables ('docvars'). Implements row operations for 'subsetting' and reordering documents; column operations for managing document variables; grouped operations; and two-table verbs for merging external data. For more on 'quanteda' see 'Benoit et al.' (2018) <doi:10.21105/joss.00774>. For 'dplyr' see 'Wickham et al.' (2023) <doi:10.32614/CRAN.package.dplyr>.
Depends: R (>= 3.5.0), quanteda (>= 3.0.0)
Imports: dplyr, rlang, tibble, tidyselect
License: GPL-3
Encoding: UTF-8
Suggests: covr, knitr, rmarkdown, spelling, testthat
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2025-12-11 02:18:53 UTC; kbenoit
Author: Kenneth Benoit [aut, cre, cph]
Maintainer: Kenneth Benoit <kbenoit@smu.edu.sg>
Repository: CRAN
Date/Publication: 2025-12-17 10:10:08 UTC

More information about quanteda.tidy at CRAN
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New package omophub with initial version 1.1.0
Package: omophub
Title: R Client for the 'OMOPHub' Medical Vocabulary API
Version: 1.1.0
Description: Provides an R interface to the 'OMOPHub' API for accessing 'OHDSI ATHENA' standardized medical vocabularies. Supports concept search, vocabulary exploration, hierarchy navigation, relationship queries, and concept mappings with automatic pagination and rate limiting.
License: MIT + file LICENSE
URL: https://github.com/omopHub/omophub-R, https://docs.omophub.com, https://omophub.github.io/omophub-R/
BugReports: https://github.com/omopHub/omophub-R/issues
Depends: R (>= 4.1)
Imports: httr2 (>= 1.0.0), R6, rlang (>= 1.0.0), cli, tibble, purrr, glue, checkmate
Suggests: testthat (>= 3.0.0), httptest2, webmockr, knitr, rmarkdown, keyring, withr
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-11 10:11:49 UTC; konstantin
Author: Alex Chen [aut, cre, cph], Observational Health Data Science and Informatics [cph]
Maintainer: Alex Chen <alex@omophub.com>
Repository: CRAN
Date/Publication: 2025-12-17 10:10:15 UTC

More information about omophub at CRAN
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New package gctsc with initial version 0.1.3
Package: gctsc
Title: Modeling Count Time Series Data via Gaussian Copula Models
Version: 0.1.3
Description: Gaussian copula models for count time series. Includes simulation utilities, likelihood approximation, maximum-likelihood estimation, residual diagnostics, and predictive inference. Implements the Time Series Minimax Exponential Tilting (TMET) method, an adaptation of Minimax Exponential Tilting (Botev, 2017) <doi:10.1111/rssb.12162> and the Vecchia-based tilting framework of Cao and Katzfuss (2025) <doi:10.1080/01621459.2025.2546586>. Also provides a linear-cost implementation of the Geweke–Hajivassiliou–Keane (GHK) simulator inspired by Masarotto and Varin (2012) <doi:10.1214/12-EJS721>, and the Continuous Extension (CE) approximation of Nguyen and De Oliveira (2025) <doi:10.1080/02664763.2025.2498502>. The package follows the S3 structure of 'gcmr', but all code in 'gctsc' was developed independently.
License: MIT + file LICENSE
Imports: Rcpp, Matrix, TruncatedNormal, VGAM, car, truncnorm
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/QNNHU/gctsc
BugReports: https://github.com/QNNHU/gctsc/issues
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, VeccTMVN, gcmr, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: false
NeedsCompilation: yes
Packaged: 2025-12-11 15:25:26 UTC; Nhu
Author: Quynh Nguyen [aut, cre], Victor De Oliveira [aut]
Maintainer: Quynh Nguyen <nqnhu2209@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-17 10:20:26 UTC

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New package fireproof with initial version 0.1.0
Package: fireproof
Title: Authentication and Authorization for 'fiery' Servers
Version: 0.1.0
Description: Provides a plugin for 'fiery' that supports various forms of authorization and authentication schemes. Schemes can be required in various combinations or by themselves and can be combined with scopes to provide fine-grained access control to the server.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/thomasp85/fireproof, https://thomasp85.github.io/fireproof/
BugReports: https://github.com/thomasp85/fireproof/issues
Imports: base64enc, cli, curl, fiery, firesale (>= 0.1.1), jose, jsonlite, R6, reqres (>= 1.1.0), rlang, routr (>= 1.0.0), sodium, urltools
Suggests: callr, dplyr, quarto, rmarkdown, storr, testthat (>= 3.0.0), webfakes, xml2
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2025-12-11 06:56:36 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2025-12-17 10:10:26 UTC

More information about fireproof at CRAN
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New package CSDownscale with initial version 0.0.1
Package: CSDownscale
Title: Statistical Downscaling of Climate Predictions
Version: 0.0.1
Description: Statistical downscaling and bias correction of climate predictions. It includes implementations of commonly used methods such as Analogs, Linear Regression, Logistic Regression, and Bias Correction techniques, as well as interpolation functions for regridding and point-based applications. It facilitates the production of high-resolution and local-scale climate information from coarse-scale predictions, which is essential for impact analyses. The package can be applied in a wide range of sectors and studies, including agriculture, water management, energy, heatwaves, and other climate-sensitive applications. The package was developed within the framework of the European Union Horizon Europe projects Impetus4Change (101081555) and ASPECT (101081460), the Wellcome Trust supported HARMONIZE project (224694/Z/21/Z), and the Spanish national project BOREAS (PID2022-140673OA-I00). Implements the methods described in Duzenli et al. (2024) <doi:10.5194/egusphere-egu24-19420>.
Depends: R (>= 3.6.0)
Imports: CSTools, abind, multiApply, nnet, plyr, s2dv, ClimProjDiags, proxy, easyVerification
License: GPL-3
URL: https://gitlab.earth.bsc.es/es/csdownscale
BugReports: https://gitlab.earth.bsc.es/es/csdownscale/-/issues
SystemRequirements: cdo
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-11 13:03:32 UTC; tkariyat
Author: BSC-CNS [aut, cph], Jaume Ramon [aut] , Eren Duzenli [aut] , Llorenc Lledo [aut] , Lluis Palma [ctb], Sara Moreno-Montes [ctb], Carlos Delgado [ctb], Nuria Perez-Zanon [ctb] , Javier Corvillo Guerra [ctb], Raul Marcos [ctb], Alba Llabres-Brustenga [c [...truncated...]
Maintainer: Theertha Kariyathan <theertha.kariyathan@bsc.es>
Repository: CRAN
Date/Publication: 2025-12-17 10:10:38 UTC

More information about CSDownscale at CRAN
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New package algebraic.dist with initial version 0.1.0
Package: algebraic.dist
Title: Algebra over Probability Distributions
Version: 0.1.0
Description: Provides an algebra over probability distributions enabling composition, sampling, and automatic simplification to closed forms. Supports normal, exponential, multivariate normal, and empirical distributions with operations like addition and subtraction that automatically simplify when mathematical identities apply (e.g., the sum of independent normal distributions is normal). Uses S3 classes for distributions and R6 for support objects.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: stats, mvtnorm, R6
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
URL: https://github.com/queelius/algebraic.dist, https://queelius.github.io/algebraic.dist/
BugReports: https://github.com/queelius/algebraic.dist/issues
NeedsCompilation: no
Packaged: 2025-12-11 17:29:33 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2025-12-17 10:50:02 UTC

More information about algebraic.dist at CRAN
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New package customknitrender with initial version 1.0.2
Package: customknitrender
Title: Easily Switch Output Format of 'Rmarkdown' Files with Shared Frontmatter
Version: 1.0.2
Description: Define the output format of 'rmarkdown' files with shared output 'yaml' frontmatter content. Rather than modifying a shared 'yaml' file, use integers to easily switch output formats for 'rmarkdown' files.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: rmarkdown
NeedsCompilation: no
Packaged: 2025-12-11 01:00:17 UTC; luismartinez
Author: Luis Martinez [aut, cre, cph]
Maintainer: Luis Martinez <lmmartinez3312@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-17 10:00:13 UTC

More information about customknitrender at CRAN
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Tue, 16 Dec 2025

New package seasonalytics with initial version 0.1.0
Package: seasonalytics
Title: Compute Seasonality Index, Seasonalized and Deseaonalised the Time Series Data
Version: 0.1.0
Author: Dr. Pramit Pandit [aut], Mr. Ankit Kumar Singh [aut, cre], Ms. Anita Sarkar [aut], Ms. Moumita Paul [aut], Dr. Bikramjeet Ghose [aut]
Maintainer: Mr. Ankit Kumar Singh <ankitsinghvns32@gmail.com>
Description: The computation of a seasonal index is a fundamental step in time-series forecasting when the data exhibits seasonality. Specifically, a seasonal index quantifies — for each season (e.g. month, quarter, week) — the relative magnitude of the seasonal effect compared to the overall average level of the series. This package has been developed to compute seasonal index for time series data and it also seasonalise and desesaonalise the time series data.
License: GPL-3
Encoding: UTF-8
Imports: seastests
Suggests: testthat (>= 3.0.0)
Packaged: 2025-12-10 14:04:06 UTC; HP
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2025-12-16 14:30:02 UTC

More information about seasonalytics at CRAN
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New package iccCompare with initial version 1.1.0
Package: iccCompare
Title: Comparison of Dependent Intraclass Correlation Coefficients
Version: 1.1.0
Maintainer: Josep Lluis Carrasco <jlcarrasco@ub.edu>
Depends: R (>= 4.5)
Imports: nlme, dplyr, Deriv, MASS, furrr, future, progressr,parallelly, bbmle, mvtnorm
Suggests: cccrm
Description: Provides methods for testing the equality of dependent intraclass correlation coefficients (ICCs) estimated using linear mixed-effects models. Several of the implemented approaches are based on the work of Donner and Zou (2002) <doi:10.1111/1467-9884.00324>.
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-10 12:15:12 UTC; jlcarrasco
Author: Josep Lluis Carrasco [aut, cre], Gonzalo Peon Pena [aut]
Repository: CRAN
Date/Publication: 2025-12-16 14:30:06 UTC

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New package fgdiR with initial version 0.1.0
Package: fgdiR
Title: Functional Gait Deviation Index
Version: 0.1.0
Description: A typical gait analysis requires the examination of the motion of nine joint angles on the left-hand side and six joint angles on the right-hand side across multiple subjects. Due to the quantity and complexity of the data, it is useful to calculate the amount by which a subject’s gait deviates from an average normal profile and to represent this deviation as a single number. Such a measure can quantify the overall severity of a condition affecting walking, monitor progress, or evaluate the outcome of an intervention prescribed to improve the gait pattern. This R package provides tools for computing the Functional Gait Deviation Index, a novel index for quantifying gait pathology using multivariate functional principal component analysis. The package supports analysis at the level of both legs combined, individual legs, and individual joints/planes. It includes functions for functional data preprocessing, multivariate functional principal component decomposition, FGDI computation, and [...truncated...]
Depends: R (>= 3.5.0)
Imports: ggplot2, dplyr, tidyr, Matrix, magrittr, refund,
Suggests: knitr, rmarkdown, ggpubr, gridExtra, forcats, knitr, rmarkdown,
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-10 12:11:44 UTC; michellecarey
Author: Michelle Carey [aut, cre], Sajal Kaur Minhas [aut]
Maintainer: Michelle Carey <michelle.carey@ucd.ie>
Repository: CRAN
Date/Publication: 2025-12-16 14:20:02 UTC

More information about fgdiR at CRAN
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New package waysign with initial version 0.1.0
Package: waysign
Title: Multi-Purpose and High-Performance Routing
Version: 0.1.0
Description: Provides routing based on the 'path-tree' 'Rust' crate. The routing is general purpose in the sense that any type of R object can be associated with a path, not just a handler function.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65.0, xz
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0)
Imports: rlang (>= 1.1.0)
URL: https://github.com/thomasp85/waysign
BugReports: https://github.com/thomasp85/waysign/issues
NeedsCompilation: yes
Packaged: 2025-12-08 07:25:17 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2025-12-16 12:40:02 UTC

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Mon, 15 Dec 2025

New package smashr with initial version 1.3-12
Package: smashr
Encoding: UTF-8
Maintainer: Peter Carbonetto <pcarbo@uchicago.edu>
Title: Smoothing by Adaptive Shrinkage
Version: 1.3-12
Date: 2025-12-09
Description: Fast, wavelet-based Empirical Bayes shrinkage methods for signal denoising, including smoothing Poisson-distributed data and Gaussian-distributed data with possibly heteroskedastic error. The algorithms implement the methods described Z. Xing, P. Carbonetto & M. Stephens (2021) <https://jmlr.org/papers/v22/19-042.html>.
License: GPL (>= 3)
Copyright: file COPYRIGHTS
Depends: R (>= 3.1.1),
Imports: utils, stats, data.table, caTools, wavethresh, ashr, Rcpp (>= 1.1.0)
Suggests: knitr, rmarkdown, MASS, EbayesThresh, testthat
LinkingTo: Rcpp
NeedsCompilation: yes
LazyData: true
URL: https://github.com/stephenslab/smashr
BugReports: https://github.com/stephenslab/smashr/issues
Packaged: 2025-12-09 16:54:02 UTC; pcarbo
Author: Zhengrong Xing [aut], Matthew Stephens [aut], Kaiqian Zhang [ctb], Daniel Nachun [ctb], Guy Nason [cph], Stuart Barber [cph], Tim Downie [cph], Piotr Frylewicz [cph], Arne Kovac [cph], Todd Ogden [cph], Bernard Silverman [cph], Peter Carbonetto [aut, [...truncated...]
Repository: CRAN
Date/Publication: 2025-12-15 20:10:02 UTC

More information about smashr at CRAN
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New package markstat with initial version 0.1.5
Package: markstat
Version: 0.1.5
Title: Mark Correlation Functions for Spatial Point Patterns
Maintainer: Mehdi Moradi <m2.moradi@yahoo.com>
Imports: spatstat.univar, spatstat.geom, spatstat.random, spatstat.explore, spatstat.linnet, spatstat.utils, GET, stats, dplyr, ggplot2, tidyr, patchwork
Description: Provides a range of functions for computing both global and local mark correlation functions for spatial point patterns in either Euclidean spaces or on linear networks, with points carrying either real-valued or function-valued marks. For a review of mark correlation functions, see Eckardt and Moradi (2024) <doi:10.1007/s13253-024-00605-1>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-09 20:07:38 UTC; memo0042
Author: Mehdi Moradi [aut, cre] , Matthias Eckardt [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-12-15 20:10:12 UTC

More information about markstat at CRAN
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New package FIND with initial version 0.1.1
Package: FIND
Title: Objective Comparison of Phase I Dose-Finding Designs
Version: 0.1.1
Description: Generate decision tables and simulate operating characteristics for phase I dose-finding designs to enable objective comparison across methods. Supported designs include the traditional 3+3, Bayesian Optimal Interval (BOIN) (Liu and Yuan (2015) <doi:10.1158/1078-0432.CCR-14-1526>), modified Toxicity Probability Interval-2 (mTPI-2) (Guo et al. (2017) <doi:10.1002/sim.7185>), interval 3+3 (i3+3) (Liu et al. (2020) <doi:10.1177/0962280220939123>), and Generalized 3+3 (G3). Provides visualization tools for comparing decision rules and operating characteristics across multiple designs simultaneously.
Encoding: UTF-8
Language: en-US
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: ggplot2, grid, gridExtra, gtable, dplyr, rlang, stats
NeedsCompilation: no
Packaged: 2025-12-10 03:09:07 UTC; oliviazhang
Author: Yuan Ji [aut], Yunxuan Zhang [aut, cre]
Maintainer: Yunxuan Zhang <yunxuanz@uchicago.edu>
Repository: CRAN
Date/Publication: 2025-12-15 20:20:07 UTC

More information about FIND at CRAN
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New package linktree with initial version 0.1.0
Package: linktree
Title: Estimate Transmission Assortativity Coefficients
Version: 0.1.0
Description: Estimates group transmission assortativity coefficients from transmission trees. Group transmission assortativity coefficients measure the tendency for individuals to transmit within their own group (e.g. age group, vaccination status, or location) compared to other groups. The package requires information on who infected whom, group membership for all individuals, and the relative sizes of each group in the population. For more details see Geismar et al. (2024) <doi:10.1371/journal.pone.0313037>.
License: CC BY 4.0
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), pak, epicontacts, visNetwork
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/CyGei/linktree, https://cygei.github.io/linktree/
BugReports: https://github.com/CyGei/linktree/issues
NeedsCompilation: no
Packaged: 2025-12-09 19:18:40 UTC; cy
Author: Cyril Geismar [aut, cre, cph]
Maintainer: Cyril Geismar <c.geismar21@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-15 18:30:02 UTC

More information about linktree at CRAN
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New package favr with initial version 1.0.0
Package: favr
Title: Function Argument Validation
Version: 1.0.0
Description: Validate function arguments succinctly with informative error messages and optional automatic type casting and size recycling. Enable schema-based assertions by attaching reusable rules to data.frame and list objects for use throughout workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, rlang, tidyselect, vctrs
Suggests: testthat (>= 3.0.0)
URL: https://lj-jenkins.github.io/favr/, https://github.com/LJ-Jenkins/favr
Depends: R (>= 4.1.0)
BugReports: https://github.com/LJ-Jenkins/favr/issues
NeedsCompilation: no
Packaged: 2025-12-09 17:41:19 UTC; lukej
Author: Luke Jenkins [aut, cre, cph]
Maintainer: Luke Jenkins <luke-jenkins-dev@outlook.com>
Repository: CRAN
Date/Publication: 2025-12-15 18:20:02 UTC

More information about favr at CRAN
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New package CDSim with initial version 0.1.1
Package: CDSim
Title: Simulating Climate Data for Research and Modelling
Version: 0.1.1
Maintainer: Isaac Osei <ikemillar65@gmail.com>
Description: Generate synthetic station-based monthly climate time-series including temperature and rainfall, export to Network Common Data Form (NetCDF), and provide visualization helpers for climate workflows. The approach is inspired by statistical weather generator concepts described in Wilks (1992) <doi:10.1016/S0168-1923(99)00037-4> and Richardson (1981) <doi:10.1029/WR017i001p00182>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ncdf4, lubridate, readr, dplyr, ggplot2, rlang, tidyr, vroom, tibble, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/ikemillar/CDSim
BugReports: https://github.com/ikemillar/CDSim/issues
NeedsCompilation: no
Packaged: 2025-12-09 19:40:57 UTC; isaacosei
Author: Isaac Osei [aut, cre], Acheampong Baafi-Adomako [aut], Sivaparvathi Dusari [aut]
Repository: CRAN
Date/Publication: 2025-12-15 18:40:08 UTC

More information about CDSim at CRAN
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New package rjd3jars with initial version 0.0.1
Package: rjd3jars
Title: External jars for 'rjdverse' R Packages
Version: 0.0.1
Description: It provides external jars required for the 'rjdverse' (as 'rjd3toolkit', 'rjd3x13' and 'rjd3tramoseats').
Depends: R (>= 4.1)
Imports: rJava (>= 1.0-6)
License: EUPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-09 10:49:57 UTC; onyxia
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2025-12-15 17:40:02 UTC

More information about rjd3jars at CRAN
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New package recor with initial version 1.0.3
Package: recor
Title: Rearrangement Correlation Coefficient
Version: 1.0.3
Description: The Rearrangement Correlation Coefficient is an adjusted version of Pearson's correlation coefficient that accurately measures monotonic dependence relationships, including both linear and nonlinear associations. This method addresses the underestimation problem of classical correlation coefficients in nonlinear monotonic scenarios through improved statistical bounds derived from rearrangement inequalities. For more details, see Ai (2024) <doi:10.52202/079017-1180>.
License: GPL-3
URL: https://github.com/byaxb/recor
BugReports: https://github.com/byaxb/recor/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.7)
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-12-09 13:25:08 UTC; axb
Author: Xinbo Ai [aut, cre]
Maintainer: Xinbo Ai <axb@bupt.edu.cn>
Repository: CRAN
Date/Publication: 2025-12-15 17:50:02 UTC

More information about recor at CRAN
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New package cosCorr with initial version 1.0.0
Package: cosCorr
Title: Cosine-Correlation Coefficient for Vector Variables
Version: 1.0.0
Description: Computes the cosine-correlation coefficient for measuring the degree of linear dependence among variables in a multidimensional context. The package implements the generalized cosine-correlation theorem for p-1 variables, providing a quantitative assessment of interrelationships within experimental frameworks. This methodology extends classical correlation measures to higher-dimensional spaces using a dimensional exploration approach based on time scale calculus.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-09 14:04:21 UTC; mehmet.cankaya
Author: Mehmet Niyazi Cankaya [aut, cre]
Maintainer: Mehmet Niyazi Cankaya <mehmet.cankaya@usak.edu.tr>
Repository: CRAN
Date/Publication: 2025-12-15 17:50:06 UTC

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New package AssociationExplorer2 with initial version 0.1.2
Package: AssociationExplorer2
Title: A User-Friendly 'shiny' Application for Exploring Associations and Visual Patterns
Version: 0.1.2
Description: A user-friendly 'shiny' application to explore statistical associations and visual patterns in multivariate datasets. The app provides interactive correlation networks, bivariate plots, and summary tables for different types of variables (numeric and categorical). It also supports optional survey weights and range-based filters on association strengths, making it suitable for the exploration of survey and public data by non-technical users, journalists, educators, and researchers. For background and methodological details, see Soetewey et al. (2025) <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5637359>.
License: MIT + file LICENSE
URL: https://github.com/AntoineSoetewey/AssociationExplorer2
BugReports: https://github.com/AntoineSoetewey/AssociationExplorer2/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: shiny
Suggests: visNetwork, ggplot2, plotly, dplyr, tidyr, readr, readxl, stringr, purrr, tibble, forcats, reactable, scales, igraph, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-09 09:47:52 UTC; antoinesoetewey
Author: Antoine Soetewey [aut, cre] , Cedric Heuchenne [aut] , Arnaud Claes [aut] , Antonin Descampe [aut]
Maintainer: Antoine Soetewey <antoine.soetewey@uclouvain.be>
Repository: CRAN
Date/Publication: 2025-12-15 17:40:07 UTC

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Sun, 14 Dec 2025

New package probaverse with initial version 0.1.0
Package: probaverse
Title: Install and Load the 'probaverse' Packages
Version: 0.1.0
Description: The 'probaverse' is a suite of packages designed to facilitate creating advanced statistical models through probability distributions. These packages work best when loaded together because they share a common design philosophy and focus on different aspects of developing statistical models. Inspired by the 'tidyverse' package, the 'probaverse' package makes it easy to load the entire suite of 'probaverse' packages together.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: distionary, distplyr, famish
URL: https://probaverse.probaverse.com/, https://github.com/probaverse/probaverse
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/probaverse/probaverse/issues
NeedsCompilation: no
Packaged: 2025-12-08 21:59:16 UTC; vcoia
Author: Vincenzo Coia [aut, cre, cph]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-14 17:10:03 UTC

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New package CrownScorchTLS with initial version 0.1.0
Package: CrownScorchTLS
Title: Estimate Crown Scorch from Terrestrial LiDAR Scans
Version: 0.1.0
Description: Estimates tree crown scorch from terrestrial lidar scans collected with a RIEGL vz400i. The methods follow those described in Cannon et al. (2025, Fire Ecology 21:71, <doi:10.1186/s42408-025-00420-0>).
License: GPL-3
Encoding: UTF-8
URL: https://github.com/jbcannon/CrownScorchTLS
BugReports: https://github.com/jbcannon/CrownScorchTLS/issues
Imports: lidR, randomForest, tidyr, Rcpp
LinkingTo: Rcpp, RcppArmadillo,RcppEigen, BH
Suggests: knitr, rmarkdown, dplyr, Boruta
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-12-09 06:28:45 UTC; Jeffery.Cannon
Author: Jeffery Cannon [aut, cre], Andrew Whelan [ctb]
Maintainer: Jeffery Cannon <Jeffery.Cannon@jonesctr.org>
Repository: CRAN
Date/Publication: 2025-12-14 17:20:15 UTC

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New package pubrplot with initial version 0.0.1
Package: pubrplot
Title: Publication-Ready Plots and Statistical Visualizations
Version: 0.0.1
Description: Provides functions to create high-quality, publication-ready plots for numeric and categorical data, including bar plots, violin plots, boxplots, line plots, error bars, correlation plots, linear model plots, odds ratio plots, and normality plots.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, dplyr, ggthemes, rlang, broom, tidyr, rstatix, purrr, tibble
NeedsCompilation: no
Packaged: 2025-12-08 13:25:21 UTC; DR. Umar Hussain
Author: Umar Hussain [aut, cre]
Maintainer: Umar Hussain <drumarhussain@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-14 17:00:02 UTC

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New package PowRPriori with initial version 0.1.1
Package: PowRPriori
Title: Power Analysis via Data Simulation for (Generalized) Linear Mixed Effects Models
Version: 0.1.1
Description: Conduct a priori power analyses via Monte-Carlo style data simulation for linear and generalized linear mixed-effects models (LMMs/GLMMs). Provides a user-friendly workflow with helper functions to easily define fixed and random effects as well as diagnostic functions to evaluate the adequacy of the results of the power analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, doFuture, foreach, future, ggplot2, lme4, lmerTest, magrittr, MASS, purrr, rlang, scales, stats, tidyr, tidyselect, utils, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mirgll/PowRPriori
BugReports: https://github.com/mirgll/PowRPriori/issues
NeedsCompilation: no
Packaged: 2025-12-08 12:11:09 UTC; mgrill
Author: Markus Grill [aut, cre]
Maintainer: Markus Grill <markus.grill@uni-wh.de>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-12-14 16:50:19 UTC

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New package journalR with initial version 0.2.1
Package: journalR
Title: Formatting Tools for Scientific Journal Writing
Version: 0.2.1
Maintainer: Sam Byrne <ssbyrne@uw.edu>
Description: Scientific journal numeric formatting policies implemented in code. Emphasis on formatting mean/upper/lower sets of values. Convert raw numeric triplet value vectors to formatted text for journal submission. For example c(2e6, 1e6, 3e6) becomes "2.00 million (1.00--3.00)". Lancet and Nature have built-in styles for rounding and punctuation marks. Users may extend journal styles arbitrarily. Three metrics are supported; proportions, percentage points, and counts. Magnitudes for all metrics are discovered automatically.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: checkmate, data.table, glue
Suggests: devtools (>= 2.4.5), testthat (>= 3.0.0)
Acknowledgments:
URL: https://github.com/epi-sam/journalR
BugReports: https://github.com/epi-sam/journalR/issues
NeedsCompilation: no
Packaged: 2025-12-08 17:23:08 UTC; ssbyrne
Author: Sam Byrne [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-12-14 17:00:07 UTC

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Fri, 12 Dec 2025

New package ume with initial version 1.5.2
Package: ume
Title: Ultrahigh-Resolution Mass Spectrometry Data Evaluation for Complex Organic Matter
Version: 1.5.2
Description: Provides tools for assigning molecular formulas from exact masses obtained by ultrahigh-resolution mass spectrometry. The methodology follows the workflow described in Leefmann et al. (2019) <doi:10.1002/rcm.8315>. The package supports the inspection, filtering and visualization of molecular formula data and includes utilities for calculating common molecular parameters (e.g., double bond equivalents, DBE). A graphical user interface is available via the 'shiny'-based 'ume' application.
URL: https://gitlab.awi.de/bkoch/ume, https://ume.awi.de/, https://www.awi.de/en/ume
Depends: R (>= 4.2.0)
Imports: data.table, ggplot2, plotly, vegan, viridis
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: rmarkdown, pander, knitr, testthat (>= 3.0.0), xml2, pdftools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 08:48:16 UTC; bkoch
Author: Boris Koch [aut, cre] , Tim Leefmann [ctb], Fabian Moye [ctb]
Maintainer: Boris Koch <boris.koch@awi.de>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:02 UTC

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New package tsforecast with initial version 1.1.0
Package: tsforecast
Title: Time Series Forecasting Functions
Version: 1.1.0
Date: 2025-12-08
Maintainer: Ka Yui Karl Wu <karlwuky@suss.edu.sg>
Language: en-GB
Description: Fundamental time series forecasting models such as autoregressive integrated moving average (ARIMA), exponential smoothing, and simple moving average are included. For ARIMA models, the output follows the traditional parameterisation by Box and Jenkins (1970, ISBN: 0816210942, 9780816210947). Furthermore, there are functions for detailed time series exploration and decomposition, respectively. All data and result visualisations are generated by 'ggplot2' instead of conventional R graphical output. For more details regarding the theoretical background of the models see Hyndman, R.J. and Athanasopoulos, G. (2021) <https://otexts.com/fpp3/>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2, lubridate, forecast, tseries, scales
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-08 07:41:27 UTC; kykar
Author: Ka Yui Karl Wu [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-12 21:20:02 UTC

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New package rACMEMEEV with initial version 1.0.0
Package: rACMEMEEV
Title: Multi-Variate Measurement Error Adjustment
Version: 1.0.0
Description: A methodology to perform multivariate measurement error adjustment using external validation data. Allows users to remove the attenuating effect of measurement error by incorporating a distribution of external validation data, and allows for plotting of all resultant adjustments. Sensitivity analyses can also be run through this package to test how different ranges of validity coefficients can impact the effect of the measurement error adjustment. The methods implemented in this package are based on the work by Muoka, A., Agogo, G., Ngesa, O., Mwambi, H. (2020): <doi:10.12688/f1000research.27892.1>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), BH, glmnet
Imports: rjags, MCMCpack, ggplot2, reshape2, rstan, stats, utils, ggpubr, patchwork, bayesplot, doSNOW, foreach, snow, parallelly, dplyr
VignetteBuilder: knitr
URL: https://github.com/westford14/rACME-MEEV
BugReports: https://github.com/westford14/rACME-MEEV/issues
NeedsCompilation: no
Packaged: 2025-12-08 09:18:25 UTC; westford14
Author: Alexander Lee [aut, cre, cph]
Maintainer: Alexander Lee <westford14@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:13 UTC

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New package MixFrac with initial version 1.0
Package: MixFrac
Title: Fractional Factorial Designs with Alias and Trend-Free Analysis
Version: 1.0
Description: Constructs mixed-level and regular fractional factorial designs using coordinate-exchange optimization and automatic generator search. Design quality is evaluated with J2 and balance (H-hat) criteria, alias structures are computed via correlation-based chaining, and deterministic trend-free run orders can be produced following Coster (1993) <doi:10.1214/aos/1176349410>. Mixed-level design construction follows the NONBPA approach of Pantoja-Pacheco et al. (2021) <doi:10.3390/math9131455>. Regular fraction identification follows Guo, Simpson and Pignatiello (2007) <doi:10.1080/00224065.2007.11917691>. Alias structure computation follows Rios-Lira et al.(2021) <doi:10.3390/math9233053>.
License: GPL-3
Encoding: UTF-8
Imports: stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 06:58:46 UTC; Sukanta
Author: Sukanta Dash [aut, cre]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-12 21:20:14 UTC

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New package gpyramid with initial version 0.0.1
Package: gpyramid
Title: Identify Efficient Crossing Schemes for Gene Pyramiding
Version: 0.0.1
Maintainer: Shoji Taniguchi <taniguchi.shoji938@naro.go.jp>
Description: Calculates the cost of crossing in terms of the number of individuals and generations, which is theoretically formulated by Servin et al. (2004) <DOI:10.1534/genetics.103.023358>. This package has been designed for selecting appropriate parental genotypes and find the most efficient crossing scheme for gene pyramiding, especially for plant breeding.
Imports: utils, dplyr, ape
License: GPL-2 | GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 05:22:35 UTC; taniguchis532
Author: Shoji Taniguchi [aut, cre], The National Agriculture and Food Research Organization [cph]
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-12-12 21:10:02 UTC

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New package FactChar with initial version 1.0
Package: FactChar
Title: Characterization and Diagnostic Tools for Factorial Block Designs
Version: 1.0
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Description: Description: Provides comprehensive tools for analysing and characterizing mixed-level factorial designs arranged in blocks. Includes construction and validation of incidence structures, computation of C-matrices, evaluation of A-, D-, E-, and MV-efficiencies, checking of orthogonal factorial structure (OFS), diagnostics based on Hamming distance, discrepancy measures, B-criterion, Es^2 statistics, J2-distance and J2-efficiency, Phi-p optimality, and symmetry conditions for universal optimality. The methodological framework follows foundational work on factorial and mixed-level design assessment by Xu and Wu (2001) <doi:10.1214/aos/1013699993>, and Gupta (1983) <doi:10.1111/j.2517-6161.1983.tb01253.x>. These methods assist in selecting, comparing, and studying factorial block designs across a range of experimental situations.
License: GPL-3
Encoding: UTF-8
Imports: MASS, Matrix
NeedsCompilation: no
Packaged: 2025-12-08 09:33:48 UTC; Sukanta
Author: Sukanta Dash [aut, cre], Vankudoth Kumar [aut], Sunil Kumar Yadav [aut], Anil Kumar [aut], Med Ram Verma [aut]
Repository: CRAN
Date/Publication: 2025-12-12 21:40:02 UTC

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New package DOIcreator with initial version 0.1.0
Package: DOIcreator
Title: Append DOIs to References in Word Documents
Version: 0.1.0
Description: Read 'Word' documents containing bibliographic references, search for corresponding DOIs using the 'Crossref' API, and append the retrieved DOIs directly to the references. Supports parallel processing for faster retrieval and produces a new 'Word' document with numbered references including DOIs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, officer, dplyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 09:17:20 UTC; DR. Umar Hussain
Author: Umar Hussain [aut, cre]
Maintainer: Umar Hussain <drumarhussain@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:18 UTC

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New package CHAPGWAS with initial version 0.1.2
Package: CHAPGWAS
Title: CHAP-GWAS: Leveraging Chromosomal Haplotypes to Improve Genome-Wide Association Studies
Version: 0.1.2
Description: CHAP-GWAS (Chromosomal Haplotype-Integrated Genome-Wide Association Study) provides a dynamically adaptive framework for genome-wide association studies (GWAS) that integrates chromosome-scale haplotypes with single nucleotide polymorphism (SNP) analysis. The method identifies and extends haplotype variants based on their phenotypic associations rather than predefined linkage blocks, enabling high-resolution detection of quantitative trait loci (QTL). By leveraging long-range phased haplotype information, CHAP-GWAS improves statistical power and offers a more comprehensive view of the genetic architecture underlying complex traits.
Depends: R (>= 4.0.0)
Imports: MASS, plyr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-08 08:40:42 UTC; neau2
Author: Shibo Wang [aut, cre], Qiong Jia [aut], Zhenyu Jia [aut, ctb]
Maintainer: Shibo Wang <shibow@ucr.edu>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:23 UTC

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New package bayestransmission with initial version 0.1.0
Package: bayestransmission
Title: Bayesian Transmission Models
Version: 0.1.0
Description: Provides Bayesian inference methods for infectious disease transmission models in healthcare settings. Implements Markov Chain Monte Carlo (MCMC) algorithms for estimating transmission parameters from patient-level data including admission, discharge, and testing events as described in Thomas 'et al.' (2015) <doi:10.1093/imammb/dqt021>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, dplyr, methods, Rcpp (>= 1.0.12), rlang
Depends: R (>= 4.2.0)
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17, BLAS, LAPACK
Suggests: checkmate, devtools, ggplot2, testthat (>= 3.0.0), tidyr, knitr, rmarkdown, pillar
RcppModules: Infect
URL: https://epiforesite.github.io/bayestransmission/, https://github.com/EpiForeSITE/bayestransmission
VignetteBuilder: knitr
BugReports: https://github.com/EpiForeSITE/bayestransmission/issues
NeedsCompilation: yes
Packaged: 2025-12-07 01:55:57 UTC; root
Author: Andrew Redd [aut, cre] , Alun Thomas [aut], University of Utah [cph], CDC's Center for Forecasting and Outbreak Analytics [fnd] from the CDC's Center for Forecasting and Outbreak Analytics. Its contents are solely the responsibility of the authors a [...truncated...]
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2025-12-12 21:10:07 UTC

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New package pegs with initial version 0.2
Package: pegs
Title: Pseudo-Expectation Gauss-Seidel
Version: 0.2
Date: 2025-12-07
Maintainer: Alencar Xavier <alenxav@gmail.com>
Description: A lightweight, dependency-free, and simplified implementation of the Pseudo-Expectation Gauss-Seidel (PEGS) algorithm. It fits the multivariate ridge regression model for genomic prediction Xavier and Habier (2022) <doi:10.1186/s12711-022-00730-w> and Xavier et al. (2025) <doi:10.1093/genetics/iyae179>, providing heritability estimates, genetic correlations, breeding values, and regression coefficient estimates for prediction. This package provides an alternative to the 'bWGR' package by Xavier et al. (2019) <doi:10.1093/bioinformatics/btz794> by using 'LAPACK' for its algebraic operations.
License: GPL-3
Depends: R (>= 2.10)
NeedsCompilation: yes
Repository: CRAN
Packaged: 2025-12-08 01:35:31 UTC; rd7564
Author: Alencar Xavier [aut, cre], David Habier [aut]
Date/Publication: 2025-12-12 21:00:02 UTC

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Thu, 11 Dec 2025

New package varPro with initial version 1.0.0
Package: varPro
Version: 1.0.0
Date: 2025-12-07
Title: Model-Independent Variable Selection via the Rule-Based Variable Priority
Author: Min Lu [aut], Aster K. Shear [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
BugReports: https://github.com/kogalur/varPro/issues/
Depends: R (>= 4.3.0),
Imports: randomForestSRC (>= 3.4.5), glmnet, parallel, foreach, gbm, BART, umap, survival
Suggests: mlbench, doMC, caret, MASS, igraph
SystemRequirements: OpenMP
Description: A new framework of variable selection, which instead of generating artificial covariates such as permutation importance and knockoffs, creates release rules to examine the affect on the response for each covariate where the conditional distribution of the response variable can be arbitrary and unknown.
License: GPL (>= 3)
URL: https://www.varprotools.org/ https://www.luminwin.net/ https://ishwaran.org/
NeedsCompilation: yes
Packaged: 2025-12-07 19:10:31 UTC; kogalur
Repository: CRAN
Date/Publication: 2025-12-11 19:20:02 UTC

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New package jollofR with initial version 0.6.4
Package: jollofR
Title: Small Area Population Estimation by Demographics
Version: 0.6.4
Description: Automatic disaggregation of small1area population estimates by demographic groups (e.g., age, sex, race, marital status, educational level, etc) along with the estimates of uncertainty, using advanced Bayesian statistical modelling approaches based on integrated nested Laplace approximation (INLA) Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> and stochastic partial differential equation (SPDE) methods Lindgren et al. (2011) <doi:10.1111/j.1467-9868.2011.00777.x>. The package implements hierarchical Bayesian modeling frameworks for small area estimation as described in Leasure et al. (2020) <doi:10.1073/pnas.1913050117> and Nnanatu et al. (2025) <doi:10.1038/s41467-025-59862-4>.
License: MIT + file LICENSE
URL: https://github.com/wpgp/jollofR/, https://wpgp.github.io/jollofR/
BugReports: https://github.com/wpgp/jollofR/issues
Depends: R (>= 4.1.0)
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Imports: terra, raster, ggplot2, dplyr, tidyr, sf, ggpubr, reshape2, utils
Suggests: INLA, withr, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-07 19:21:35 UTC; mohamedyusuf
Author: Chibuzor Christopher Nnanatu [aut, cre] , Mohamed A. Yusuf [aut] , Somnath Chaudhuri [aut] , Ortis Yankey [aut] , Attila N Lazar [aut] , Andrew J Tatem [aut]
Maintainer: Chibuzor Christopher Nnanatu <cc.nnanatu@soton.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-11 19:20:07 UTC

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New package joinless with initial version 0.0.1
Package: joinless
Title: Exploratory Analysis of Relationships Between Variables
Version: 0.0.1
Maintainer: Braylin Alexander Jimenez Reynoso <braylinjr1511@gmail.com>
Description: Provides tools to explore and summarize relationship patterns between variables across one or multiple datasets. The package relies on efficient sampling strategies to estimate pairwise associations and supports quick exploratory data analysis for large or heterogeneous data sources.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), tibble
NeedsCompilation: no
Packaged: 2025-12-07 22:37:54 UTC; Braylin Jimenez
Author: Braylin Alexander Jimenez Reynoso [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-11 19:30:02 UTC

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New package GACE with initial version 1.0.0
Package: GACE
Title: Generalized Adaptive Capped Estimator for Time Series Forecasting
Version: 1.0.0
Maintainer: Vinodhkumar Gunasekaran <vinoalles@gmail.com>
Description: Provides deterministic forecasting for weekly, monthly, quarterly, and yearly time series using the Generalized Adaptive Capped Estimator. The method includes preprocessing for missing and extreme values, extraction of multiple growth components (including long-term, short-term, rolling, and drift-based signals), volatility-aware asymmetric capping, optional seasonal adjustment via damped and normalized seasonal factors, and a recursive forecast formulation with moderated growth. The package includes a user-facing forecasting interface and a plotting helper for visualization. Related forecasting background is discussed in Hyndman and Athanasopoulos (2021) <https://otexts.com/fpp3/> and Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>. The method extends classical extrapolative forecasting approaches and is suited for operational and business planning contexts where stability and interpretability are important.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, stats, utils
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, forecast
VignetteBuilder: knitr
URL: https://github.com/vinoalles/GACE
BugReports: https://github.com/vinoalles/GACE/issues
NeedsCompilation: no
Packaged: 2025-12-07 20:32:14 UTC; vinodhkumargunasekaran
Author: Vinodhkumar Gunasekaran [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-11 19:20:18 UTC

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New package yaml12 with initial version 0.1.0
Package: yaml12
Title: Fast 'YAML' 1.2 Parser and Formatter
Version: 0.1.0
Description: A fast, correct, safe, and ergonomic 'YAML' 1.2 parser and generator written in 'Rust'. Convert between 'YAML' and simple 'R' objects with full support for multi-document streams, tags, anchors, and aliases. Offers opt-in handlers for custom tag behavior and round-trips common 'R' data structures. Implements the 'YAML' 1.2.2 specification from the 'YAML' Language Development Team (2021) <https://yaml.org/spec/1.2.2/>. Proudly supported by Posit.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/r-yaml12/, https://github.com/posit-dev/r-yaml12
BugReports: https://github.com/posit-dev/r-yaml12/issues
Depends: R (>= 4.2)
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), waldo, withr
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70.0, xz
NeedsCompilation: yes
Packaged: 2025-12-03 19:56:58 UTC; tomasz
Author: Tomasz Kalinowski [aut, cre], Posit Software, PBC [cph, fnd] , Authors of the dependency Rust crates [cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>
Repository: CRAN
Date/Publication: 2025-12-11 15:50:02 UTC

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New package FRCI with initial version 0.1.0
Package: FRCI
Title: Fuzzy & Randomized Confidence Intervals
Version: 0.1.0
Description: Contains the methods proposed by Geyer and Meeden (2005)<doi:10.1214/088342305000000340> and Trigo et al. (2025) <doi:10.47749/T/UNICAMP.2025.1500297> to construct fuzzy confidence intervals. Compute and plot the fuzzy membership functions of the methods, and the expected length compared with the infimum.
License: GPL-3
Imports: DescTools, calculus, ump, zipfR, graphics, stats
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-07 01:45:50 UTC; caetn
Author: Carlos Henrique Trigo Nasser Felix [aut, cre], Nancy Garcia [aut], Alex Sousa [aut]
Maintainer: Carlos Henrique Trigo Nasser Felix <c214344@dac.unicamp.br>
Repository: CRAN
Date/Publication: 2025-12-11 14:10:02 UTC

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New package wsMed with initial version 1.0.2
Package: wsMed
Title: Within-Subject Mediation Analysis Using Structural Equation Modeling
Version: 1.0.2
Description: Within-subject mediation analysis using structural equation modeling. Examine how changes in an outcome variable between two conditions are mediated through one or more variables. Supports within-subject mediation analysis using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>, and extends Monte Carlo confidence interval estimation to missing data scenarios using the 'semmcci' package by Pesigan and Cheung (2023) <doi:10.3758/s13428-023-02114-4>.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Suggests: rmarkdown, devtools, testthat
Imports: knitr, lavaan, semmcci, mice, semboottools, MASS, rlang, dplyr, ggplot2, methods, stats
VignetteBuilder: knitr
LazyData: true
URL: https://yangzhen1999.github.io/wsMed/
BugReports: https://github.com/Yangzhen1999/wsMed/issues
NeedsCompilation: no
Packaged: 2025-12-06 12:34:07 UTC; Administrator
Author: Wendie Yang [aut, cre] , Shu Fai Cheung [aut]
Maintainer: Wendie Yang <1581075494q@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:30:02 UTC

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New package svgedit with initial version 1.0.0
Package: svgedit
Title: Insert Graphs, Images and Text in SVG Files
Version: 1.0.0
Description: Edit SVG files created in 'Inkscape' by replacing placeholders (e.g. a rectangle element or {} in a text box) by 'ggplot2' objects, images or text. This helps automate the creation of figures with complex layouts.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, rlang, xml2, ggplot2, base64enc
Suggests: palmerpenguins, testthat (>= 3.0.0), svglite, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/DanielThedie/svgedit
BugReports: https://github.com/DanielThedie/svgedit/issues
NeedsCompilation: no
Packaged: 2025-12-06 17:09:41 UTC; daniel
Author: Daniel Thedie [aut, cre, cph]
Maintainer: Daniel Thedie <daniel.thedie@ed.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-11 13:50:02 UTC

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New package survlab with initial version 0.1.0
Package: survlab
Title: Survival Model-Based Imputation for Laboratory Non-Detect Data
Version: 0.1.0
Description: Implements survival-model-based imputation for censored laboratory measurements, including Tobit-type models with several distribution options. Suitable for data with values below detection or quantification limits, the package identifies the best-fitting distribution and produces realistic imputations that respect the censoring thresholds.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: data.table (>= 1.17.0), stats, survival (>= 3.0.0), truncnorm (>= 1.0.0)
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
URL: https://lpereira-ue.github.io/survlab/, https://github.com/lpereira-ue/survlab
NeedsCompilation: no
Packaged: 2025-12-06 16:28:23 UTC; lpereira
Author: Luis Pereira [aut, cre] , Paulo Infante [aut] , Teresa Ferreira [ths] , Paulo Quaresma [ths]
Maintainer: Luis Pereira <d57177@alunos.uevora.pt>
Repository: CRAN
Date/Publication: 2025-12-11 13:40:02 UTC

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New package Ruido with initial version 1.0.0
Package: Ruido
Title: Soundscape Background Noise, Power, and Saturation
Version: 1.0.0
Description: Accessible and flexible implementation of three ecoacoustic indices that are less commonly available in existing R frameworks: Background Noise, Soundscape Power and Soundscape Saturation. The functions were design to accommodate a variety of sampling designs. Users can tailor calculations by specifying spectrogram time bin size, amplitude thresholds and normality tests. By simplifying computation and standardizing reproducible methods, the package aims to support ecoacoustics studies. For more details about the indices read Towsey (2014) <doi:10.1016/j.procs.2014.05.063> and Burivalova (2017) <doi:10.1111/cobi.12968>.
Depends: R(>= 4.3.0)
Imports: methods, tuneR, signal, nortest
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, spelling
Maintainer: Arthur Igor da Fonseca-Freire <arthur.igorr@gmail.com>
BugReports: https://github.com/Arthurigorr/Ruido/issues
URL: https://github.com/Arthurigorr/Ruido
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-05 19:32:59 UTC; arthurigorr
Author: Arthur Igor da Fonseca-Freire [aut, cre, cph], Weslley Geremias dos Santos [ctb], Lucas Rodriguez Forti [ctb]
Repository: CRAN
Date/Publication: 2025-12-11 13:30:19 UTC

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New package nadaverse with initial version 0.1.0
Package: nadaverse
Title: Browse Microdata Catalogs Using 'NADA' REST API
Version: 0.1.0
Date: 2025-11-18
Description: Provides a unified, programmatic interface for searching, browsing, and retrieving metadata from various international organization data repositories that use the National Data Archive ('NADA') software, such as the World Bank, 'FAO', and the International Household Survey Network ('IHSN'). Functions allow users to discover available data collections, country codes, and access types, perform complex searches using keyword and spatial/temporal filters, and retrieve detailed study information, including file lists and variable-level data dictionaries. It simplifies access to microdata for researchers and policy analysts globally.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, httr2
URL: https://github.com/guturago/nadaverse
BugReports: https://github.com/guturago/nadaverse/issues
Suggests: httptest2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-06 19:11:17 UTC; Gute
Author: Gutama Girja Urago [aut, cre, cph]
Maintainer: Gutama Girja Urago <girjagutama@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:50:07 UTC

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New package modernBoot with initial version 0.1.1
Package: modernBoot
Title: Modern Resampling Methods: Bootstraps, Wild, Block, Permutation, and Selection Guidance
Version: 0.1.1
Description: Implements modern resampling and permutation methods for robust statistical inference without restrictive parametric assumptions. Provides bias-corrected and accelerated (BCa) bootstrap (Efron and Tibshirani (1993) <doi:10.1201/9780429246593>), wild bootstrap for heteroscedastic regression (Liu (1988) <doi:10.1214/aos/1176351062>, Davidson and Flachaire (2008) <doi:10.1016/j.jeconom.2008.08.003>), block bootstrap for time series (Politis and Romano (1994) <doi:10.1080/01621459.1994.10476870>), and permutation-based multiple testing correction (Westfall and Young (1993) <ISBN:0-471-55761-7>). Methods handle non-normal data, heteroscedasticity, time series correlation, and multiple comparisons.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats, boot, future, future.apply
Suggests: testthat (>= 3.0.0), covr, pkgdown, rhub
URL: https://github.com/ikrakib/modernBoot
BugReports: https://github.com/ikrakib/modernBoot/issues
NeedsCompilation: no
Packaged: 2025-12-06 18:34:53 UTC; hello
Author: Ibrahim Kholil Rakib [aut, cre]
Maintainer: Ibrahim Kholil Rakib <ikrakib1010@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:50:13 UTC

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New package irls with initial version 1.0
Package: irls
Title: Generalised Linear Models via Iteratively Reweighted Least Squares
Version: 1.0
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Description: Generalised linear models via the iteratively reweighted least squares algorithm. The functions perform logistic, Poisson and Gamma regression (ISBN:9780412317606), either for a single model or many regression models in a column-wise fashion.
License: GPL (>= 2)
Depends: R (>= 4.2)
Imports: Rcpp (>= 1.0.13)
LinkingTo: Rcpp (>= 1.0.13), RcppEigen
Suggests: Rfast, Rfast2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-12-06 13:43:54 UTC; Administrator
Repository: CRAN
Date/Publication: 2025-12-11 13:40:07 UTC

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New package impermanentlosscalc with initial version 0.1.0
Package: impermanentlosscalc
Title: Calculate Impermanent Loss in Automated Market Maker (AMM) Liquidity Pools
Version: 0.1.0
Description: Computes the key metrics for assessing the performance of a liquidity provider (LP) position in a weighted multi-asset Automated Market Maker (AMM) pool. Calculates the nominal and percentage impermanent loss (IL) by comparing the portfolio value inside the pool (based on the weighted geometric mean of price ratios) against the value of simply holding the assets outside the pool (based on the weighted arithmetic mean). The primary function, `impermanent_loss()`, incorporates the effect of earned trading fees to provide the LP's net profit and loss relative to a holding strategy, using a methodology derived from Tiruviluamala, N., Port, A., and Lewis, E. (2022) <doi:10.48550/arXiv.2203.11352>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-06 16:06:01 UTC; amber
Author: Amber Krause [aut, cre]
Maintainer: Amber Krause <amber32k@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:40:11 UTC

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New package hypothesize with initial version 0.10.0
Package: hypothesize
Title: A Consistent API for Hypothesis Testing
Version: 0.10.0
Description: Provides a consistent API for hypothesis testing built on principles from 'Structure and Interpretation of Computer Programs': data abstraction, closure (combining tests yields tests), and higher-order functions (transforming tests). Implements z-tests, Wald tests, likelihood ratio tests, Fisher's method for combining p-values, and multiple testing corrections. Designed for use by other packages that want to wrap their hypothesis tests in a consistent interface.
Encoding: UTF-8
Maintainer: Alexander Towell <lex@metafunctor.com>
License: MIT + file LICENSE
ByteCompile: true
Imports: stats
URL: https://github.com/queelius/hypothesize, https://queelius.github.io/hypothesize/
BugReports: https://github.com/queelius/hypothesize/issues
Suggests: testthat (>= 3.0.0), rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-05 18:08:28 UTC; spinoza
Author: Alexander Towell [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-11 13:20:02 UTC

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New package fjoin with initial version 0.1.0
Package: fjoin
Title: Data Frame Joins Leveraging 'data.table'
Version: 0.1.0
Description: Extends 'data.table' join functionality, lets it work with any data frame class, and provides a familiar 'x'/'y'-style interface, enabling broad use across R. Offers NA-safe matching by default, on-the-fly column selection, multiple match-handling on both sides, 'x' or 'y' row order, and a row origin indicator. Performs inner, left, right, full, semi- and anti-joins with equality and inequality conditions, plus cross joins. Specific support for 'data.table', (grouped) tibble, and 'sf'/'sfc' objects and their attributes; returns a plain data frame otherwise. Avoids data-copying of inputs and outputs. Allows displaying the 'data.table' code instead of (or as well as) executing it.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.3.0)
Imports: data.table
Suggests: dplyr (>= 1.1.0), sf, testthat (>= 3.0.0), knitr, rmarkdown, quarto, bench, ggplot2
URL: https://trobx.github.io/fjoin/
BugReports: https://github.com/trobx/fjoin/issues
VignetteBuilder: knitr, quarto
NeedsCompilation: no
Packaged: 2025-12-05 22:00:23 UTC; Toby
Author: Toby Robertson [aut, cre]
Maintainer: Toby Robertson <trobx@proton.me>
Repository: CRAN
Date/Publication: 2025-12-11 13:30:08 UTC

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New package bpvars with initial version 1.0
Package: bpvars
Title: Forecasting with Bayesian Panel Vector Autoregressions
Description: Provides Bayesian estimation and forecasting of dynamic panel data using Bayesian Panel Vector Autoregressions with hierarchical prior distributions. The models include country-specific VARs that share a global prior distribution that extend the model by Jarociński (2010) <doi:10.1002/jae.1082>. Under this prior expected value, each country's system follows a global VAR with country-invariant parameters. Further flexibility is provided by the hierarchical prior structure that retains the Minnesota prior interpretation for the global VAR and features estimated prior covariance matrices, shrinkage, and persistence levels. Bayesian forecasting is developed for models including exogenous variables, allowing conditional forecasts given the future trajectories of some variables and restricted forecasts assuring that rates are forecasted to stay positive and less than 100. The package implements the model specification, estimation, and forecasting routines, facilitating coherent workflo [...truncated...]
Version: 1.0
Date: 2025-12-02
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>
License: GPL (>= 3)
Depends: R (>= 4.1.0), bsvars (>= 3.2)
Imports: R6, Rcpp (>= 1.0.12), RcppProgress, RcppTN, tmvtnsim, generics
LinkingTo: bsvars, Rcpp, RcppArmadillo, RcppProgress, RcppTN
Suggests: tinytest
URL: https://bsvars.org/bpvars/
BugReports: https://github.com/bsvars/bpvars/issues
LazyData: true
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-12-03 05:17:02 UTC; twozniak
Author: Tomasz Wozniak [aut, cre] , Miguel Sanchez-Martinez [ctb], International Labour Organization [cph]
Repository: CRAN
Date/Publication: 2025-12-11 14:00:02 UTC

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New package blockr.dock with initial version 0.1.0
Package: blockr.dock
Title: A Docking Layout Manager for 'blockr'
Version: 0.1.0
Description: Building on the docking layout manager provided by 'dockViewR', this provides a flexible front-end to 'blockr.core'. It provides an extension mechanism which allows for providing means to manipulate a board object via panel-based user interface components.
URL: https://bristolmyerssquibb.github.io/blockr.dock/
BugReports: https://github.com/BristolMyersSquibb/blockr.dock/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: blockr.core (>= 0.1.1), bsicons, shiny, shinyjs, bslib, glue, dockViewR (>= 0.2.1), htmltools, cli, shinyWidgets, jsonlite
Suggests: testthat (>= 3.0.0), DT, colorspace, methods, withr, shinytest2
NeedsCompilation: no
Packaged: 2025-12-06 14:23:01 UTC; nbennett
Author: Nicolas Bennett [aut, cre], David Granjon [aut]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:30:14 UTC

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Wed, 10 Dec 2025

New package treesitter.c with initial version 0.0.1
Package: treesitter.c
Title: 'R' Bindings to the 'C' Grammar for Tree-Sitter
Version: 0.0.1
Description: Provides bindings to a 'C' grammar for Tree-sitter, to be used alongside the 'treesitter' package. Tree-sitter builds concrete syntax trees for source files and can efficiently update them as files are edited.
License: GPL-3
Depends: R (>= 4.3.0)
Imports: treesitter
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://sounkou-bioinfo.github.io/treesitter.c/, https://github.com/sounkou-bioinfo/treesitter.c
BugReports: https://github.com/sounkou-bioinfo/treesitter.c/issues
NeedsCompilation: yes
Packaged: 2025-12-04 16:21:17 UTC; sounkoutoure
Author: Sounkou Mahamane Toure [aut, cre], Tree-sitter authors [cph]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:10:02 UTC

More information about treesitter.c at CRAN
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New package spatialAtomizeR with initial version 0.2.3
Package: spatialAtomizeR
Title: Spatial Analysis with Misaligned Data Using Atom-Based Regression Models
Version: 0.2.3
Date: 2025-11-28
Description: Implements atom-based regression models (ABRM) for analyzing spatially misaligned data. Provides functions for simulating misaligned spatial data, preparing NIMBLE model inputs, running MCMC diagnostics, and comparing different spatial analysis methods including dasymetric mapping. All main functions return S3 objects with print(), summary(), and plot() methods for intuitive result exploration. Methods are described in Nethery et al. (2023) <doi:10.1101/2023.01.10.23284410>. Further methodological details and software implementation are described in Qian et al. (in review).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: sp, sf, spdep, MASS, raster, dplyr, tidyr, ggplot2, reshape2, nimble, coda, BiasedUrn, stats, utils, grDevices, methods
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/bellayqian/spatialAtomizeR
BugReports: https://github.com/bellayqian/spatialAtomizeR/issues
NeedsCompilation: no
Packaged: 2025-12-04 19:23:15 UTC; anemos
Author: Yunzhe Qian [aut, cre], Rachel Nethery [aut], Nancy Krieger [ctb] , Nykesha Johnson [ctb]
Maintainer: Yunzhe Qian <qyzanemos@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:10:07 UTC

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New package qbrms with initial version 1.0.1
Package: qbrms
Title: Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax
Version: 1.0.1
Date: 2025-11-26
Maintainer: Tony Myers <admyers@aol.com>
Description: Provides a 'brms'-like interface for fitting Bayesian regression models using 'INLA' (Integrated Nested Laplace Approximations) and 'TMB' (Template Model Builder). The package offers faster model fitting while maintaining familiar 'brms' syntax and output formats. Supports fixed and mixed effects models, multiple probability distributions, conditional effects plots, and posterior predictive checks with summary methods compatible with 'brms'. 'TMB' integration provides fast ordinal regression capabilities. Implements methods adapted from 'emmeans' for marginal means estimation and 'bayestestR' for Bayesian inference assessment. Methods are based on Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x>, Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, Lenth (2016) <doi:10.18637/jss.v069.i01>, Bürkner (2017) <doi:10.18637/jss.v080.i01>, Makowski et al. (2019) <doi:10.21105/joss.01541>, and Kruschke (2014, ISBN:9780124058880).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.0.0)
Imports: methods, ggplot2, mvtnorm, cowplot, lme4, patchwork, posterior, scales, shiny, miniUI, future, future.apply, loo, TMB, jsonlite
Suggests: testthat (>= 3.0.0), INLA, knitr, rmarkdown, DHARMa, MASS, ordinal, rstudioapi, emmeans, bayestestR, gridExtra, data.table, tibble, quantreg, readxl, haven
LinkingTo: Rcpp, RcppEigen, TMB
URL: https://github.com/Tony-Myers/qbrms
BugReports: https://github.com/Tony-Myers/qbrms/issues
Additional_repositories: https://inla.r-inla-download.org/R/stable/
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-12-04 18:58:52 UTC; tonymyers
Author: Tony Myers [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-10 21:10:13 UTC

More information about qbrms at CRAN
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New package osdc with initial version 0.9.17
Package: osdc
Title: Open Source Diabetes Classifier for Danish Registers
Version: 0.9.17
Description: The algorithm first identifies a population of individuals from Danish register data with any type of diabetes as individuals with two or more inclusion events. Then, it splits this population into individuals with either type 1 diabetes or type 2 diabetes by identifying individuals with type 1 diabetes and classifying the remainder of the diabetes population as having type 2 diabetes.
License: MIT + file LICENSE
URL: https://github.com/steno-aarhus/osdc, https://steno-aarhus.github.io/osdc/
BugReports: https://github.com/steno-aarhus/osdc/issues
Depends: R (>= 4.2.0)
Imports: checkmate, cli, codeCollection, dbplyr, dplyr, duckplyr, fabricatr, lifecycle, lubridate, purrr, rlang, rvest, stats, tidyselect, utils
Suggests: glue, knitr, quarto, rmarkdown, spelling, stringr, testthat (>= 3.0.0), tidyr, tibble
VignetteBuilder: quarto
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-04 21:14:55 UTC; luke
Author: Signe Kirk Broedbaek [aut] , Anders Aasted Isaksen [aut] , Luke William Johnston [aut, cre] , Steno Diabetes Center Aarhus [cph], Aarhus University [cph]
Maintainer: Luke William Johnston <lwjohnst@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:20:02 UTC

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New package mixedfact with initial version 0.1.1
Package: mixedfact
Title: Generate and Analyze Mixed-Level Blocked Factorial Designs
Version: 0.1.1
Description: Generates blocked designs for mixed-level factorial experiments for a given block size. Internally, it uses finite-field based, collapsed, and heuristic methods to construct block structures that minimize confounding between block effects and factorial effects. The package creates the full treatment combination table, partitions runs into blocks, and computes detailed confounding diagnostics for main effects and two-factor interactions. It also checks orthogonal factorial structure (OFS) and computes efficiencies of factorial effects using the methods of Nair and Rao (1948) <doi:10.1111/j.2517-6161.1948.tb00005.x>. When OFS is not satisfied but the design has equal treatment replications and equal block sizes, a general method based on the C-matrix and custom contrast vectors is used to compute efficiencies. The output includes the generated design, finite-field metadata, confounding summaries, OFS diagnostics, and efficiency results.
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-05 04:05:13 UTC; Sukanta
Author: Archana A [aut], Sukanta Dash [aut, cre], Anil Kumar [aut], Medram Verma [aut]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:30:02 UTC

More information about mixedfact at CRAN
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New package ivd with initial version 1.0.0
Package: ivd
Title: Individual Variance Detection
Version: 1.0.0
Maintainer: Philippe Rast <rast.ph@gmail.com>
Description: Fit mixed-effects location scale models with spike-and-slab priors on the location random effects to identify units with unusual residual variances. The method is described in detail in Carmo, Williams and Rast (2025) <https://osf.io/sh6ne>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: nimble (>= 1.1.0), coda (>= 0.19.4), ggplot2, patchwork, future, future.apply, utils, rstan, ggrepel
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/consistentlyBetter/ivd/issues
Depends: R (>= 3.0)
NeedsCompilation: no
Packaged: 2025-12-05 01:17:46 UTC; philippe
Author: Philippe Rast [aut, cre, cph] , Marwin Carmo [aut]
Repository: CRAN
Date/Publication: 2025-12-10 21:30:06 UTC

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New package HCUPtools with initial version 1.0.0
Package: HCUPtools
Title: Access and Work with HCUP Resources and Datasets
Version: 1.0.0
Depends: R (>= 4.1.0)
Description: A comprehensive R package for accessing and working with publicly available and free resources from the Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project (HCUP). The package provides streamlined access to HCUP's Clinical Classifications Software Refined (CCSR) mapping files and Summary Trend Tables, enabling researchers and analysts to efficiently map ICD-10-CM diagnosis codes and ICD-10-PCS procedure codes to CCSR categories and access HCUP statistical reports. Key features include: direct download from HCUP website, multiple output formats (long/wide/default), cross-classification support, version management, citation generation, and intelligent caching. The package does not redistribute HCUP data files but facilitates direct download from the official HCUP website, ensuring users always have access to the latest versions and maintain compliance with HCUP data use policies. This package only accesses free public tools and reports; it does NOT a [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/vikrant31/HCUPtools, https://vikrant31.github.io/HCUPtools/
BugReports: https://github.com/vikrant31/HCUPtools/issues
Encoding: UTF-8
Imports: httr2, readr, dplyr, tidyr, tibble, utils, stats, rlang, xml2, readxl
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, data.table, pdftools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-05 06:55:13 UTC; vikrant31
Author: Vikrant Dev Rathore [aut, cre]
Maintainer: Vikrant Dev Rathore <rathore.vikrant@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:40:07 UTC

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New package factree with initial version 0.1.0
Package: factree
Title: Factor-Augmented Clustering Tree
Date: 2025-11-10
Version: 0.1.0
Description: Implements the Factor-Augmented Clustering Tree (FACT) algorithm for clustering time series data. The method constructs a classification tree where splits are determined by covariates, and the splitting criterion is based on a group factor model representation of the time series within each node. Both threshold-based and permutation-based tests are supported for splitting decisions, with an option for parallel computation. For methodological details, see Hu, Li, Luo, and Wang (2025, in preparation), Factor-Augmented Clustering Tree for Time Series.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: irlba, foreach, doParallel, parallel, doRNG, mvtnorm
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-05 03:53:21 UTC; hujiaqi
Author: Jiaqi Hu [cre, aut], Ting Li [ctb] , Zidan Luo [ctb] , Xueqin Wang [ctb]
Maintainer: Jiaqi Hu <hujiaqi@mail.ustc.edu.cn>
Repository: CRAN
Date/Publication: 2025-12-10 21:30:12 UTC

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New package EZbakR with initial version 0.1.0
Package: EZbakR
Title: Analyze and Integrate Any Type of Nucleotide Recoding RNA-Seq Data
Version: 0.1.0
Description: A complete rewrite and reimagining of 'bakR' (see 'Vock et al.' (2025) <doi:10.1371/journal.pcbi.1013179>). Designed to support a wide array of analyses of nucleotide recoding RNA-seq (NR-seq) datasets of any type, including TimeLapse-seq/SLAM-seq/TUC-seq, Start-TimeLapse-seq (STL-seq), TT-TimeLapse-seq (TT-TL-seq), and subcellular NR-seq. 'EZbakR' extends standard NR-seq standard NR-seq mutational modeling to support multi-label analyses (e.g., 4sU and 6sG dual labeling), and implements an improved hierarchical model to better account for transcript-to-transcript variance in metabolic label incorporation. 'EZbakR' also generalized dynamical systems modeling of NR-seq data to support analyses of premature mRNA processing and flow between subcellular compartments. Finally, 'EZbakR' implements flexible and well-powered comparative analyses of all estimated parameters via design matrix-specified generalized linear modeling.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, MASS, rmarkdown, testthat (>= 3.0.0)
Imports: arrow, data.table, dplyr, ggplot2, magrittr, methods, purrr, rlang, tidyr, tximport
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
URL: https://isaacvock.github.io/EZbakR/, https://github.com/isaacvock/EZbakR
BugReports: https://github.com/isaacvock/EZbakR/issues
NeedsCompilation: no
Packaged: 2025-12-04 22:09:30 UTC; isaac
Author: Isaac Vock [aut, cre, cph]
Maintainer: Isaac Vock <isaac.vock@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:20:08 UTC

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New package timefully with initial version 0.1.0
Package: timefully
Title: Time-Series Management Made Easy
Version: 0.1.0
Description: Manage time-series data frames across time zones, resolutions, and date ranges, while filling gaps using weekday/hour patterns or simple fill helpers or plotting them interactively. It is designed to work seamlessly with the tidyverse and dygraphs environments.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), rmarkdown
Depends: R (>= 4.1.0)
Imports: dplyr, lubridate, rlang, purrr, dygraphs
URL: https://github.com/resourcefully-dev/timefully/, https://resourcefully-dev.github.io/timefully/
BugReports: https://github.com/resourcefully-dev/timefully/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-04 09:24:54 UTC; marc
Author: Marc Canigueral [aut, cre]
Maintainer: Marc Canigueral <marccanyigueral@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 20:40:02 UTC

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New package projectLSA with initial version 0.0.3
Package: projectLSA
Title: Latent Structure Analysis Toolkit
Version: 0.0.3
Description: Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) <doi:10.21105/joss.00978>, LCA through 'poLCA' (Linzer & Lewis, 2011), LTA/IRT via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Encoding: UTF-8
Imports: colourpicker, dplyr, DT, ggiraph, ggplot2, lavaan, mirt, plotly, poLCA, psych, purrr, readr, readxl, rlang, semPlot, semptools, semTools, shiny, shinyWidgets, stringr, tibble, tidyr, tidyLPA, viridisLite
Suggests: knitr, pkgdown, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/hasandjidu/projectLSA
BugReports: https://github.com/hasandjidu/projectLSA/issues
NeedsCompilation: no
Packaged: 2025-12-04 12:08:53 UTC; hasandjidu
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb] , Samsul Hadi [ctb] , Haryanto [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 20:50:02 UTC

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New package httkexamples with initial version 0.0.1
Package: httkexamples
Version: 0.0.1
Date: 2025-12-03
Title: High-Throughput Toxicokinetics Examples
Description: High throughput toxicokinetics ("HTTK") is the combination of 1) chemical-specific in vitro measurements or in silico predictions and 2) generic mathematical models, to predict absorption, distribution, metabolism, and excretion by the body. HTTK methods have been described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>) and Breen et al. (2021) (<doi:10.1080/17425255.2021.1935867>). Here we provide examples (vignettes) applying HTTK to solve various problems in bioinformatics, toxicology, and exposure science. In accordance with Davidson-Fritz et al. (2025) (<doi:10.1371/journal.pone.0321321>), whenever a new HTTK model is developed, the code to generate the figures evaluating that model is added as a new vignettte.
Depends: R (>= 2.10)
Imports: httk, rmarkdown, knitr, Rdpack
Suggests: dplyr, tidyverse, xlsx, Metrics, ggplot2, ggforce, ggpubr, ggrepel, viridis, ggpubr, grid, ggh4x, readr, ggforce, tidyr, stringr, pracma, cgwtools, openxlsx, ggstar, latex2exp, smatr, reshape, gdata,censReg,gmodels,gplots,scales,colorspace,gridExtra, rvcheck
License: MIT + file LICENSE
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://chemicalinsights.ul.org/
NeedsCompilation: no
Packaged: 2025-12-04 00:56:11 UTC; WambaughJohn
Author: John Wambaugh [aut, cre] , Robert Pearce [aut] , Caroline Ring [aut] , Greg Honda [aut] , Matt Linakis [aut] , Dustin Kapraun [aut] , Kimberly Truong [aut] , Meredith Scherer [aut] , Annabel Meade [aut] , Celia Schacht [aut] , Elaina Kenyon [ctb]
Maintainer: John Wambaugh <john.wambaugh@UL.org>
Repository: CRAN
Date/Publication: 2025-12-10 21:00:02 UTC

More information about httkexamples at CRAN
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Tue, 09 Dec 2025

New package SSLfmm with initial version 0.1.0
Package: SSLfmm
Title: Semi-Supervised Learning under a Mixed-Missingness Mechanism in Finite Mixture Models
Version: 0.1.0
Maintainer: Jinran Wu <jinran.wu@uq.edu.au>
Description: Implements a semi-supervised learning framework for finite mixture models under a mixed-missingness mechanism. The approach models both missing completely at random (MCAR) and entropy-based missing at random (MAR) processes using a logistic–entropy formulation. Estimation is carried out via an Expectation–-Conditional Maximisation (ECM) algorithm with robust initialisation routines for stable convergence. The methodology relates to the statistical perspective and informative missingness behaviour discussed in Ahfock and McLachlan (2020) <doi:10.1007/s11222-020-09971-5> and Ahfock and McLachlan (2023) <doi:10.1016/j.ecosta.2022.03.007>. The package provides functions for data simulation, model estimation, prediction, and theoretical Bayes error evaluation for analysing partially labelled data under a mixed-missingness mechanism.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats, mvtnorm, matrixStats
NeedsCompilation: no
Packaged: 2025-12-04 00:22:06 UTC; uqjwu15
Author: Jinran Wu [aut, cre] , Geoffrey J. McLachlan [aut]
Repository: CRAN
Date/Publication: 2025-12-09 16:30:28 UTC

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New package AdaptiveBoxplot with initial version 0.1.1
Package: AdaptiveBoxplot
Title: FDR(BH) Boxplot and FWER(Holm) Boxplot
Version: 0.1.1
Description: Implements a framework for creating boxplots where the whisker lengths are determined by formal multiple testing procedures, making them adaptive to sample size and data characteristics. The function bh_boxplot() generates boxplots that control the False Discovery Rate (FDR) via the Benjamini-Hochberg procedure, and the function holm_boxplot() generates boxplots that control the Family-Wise Error Rate (FWER) via the Holm procedure. The methods are based on the framework in Gang, Lin, and Tong (2025) <doi:10.48550/arXiv.2510.20259>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-12-04 01:13:52 UTC; bowengang
Author: Bowen Gang [aut, cre], Hongmei Lin [aut], Tiejun Tong [aut]
Maintainer: Bowen Gang <gangbowen02@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-09 16:30:34 UTC

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New package VCBART with initial version 1.2.4
Package: VCBART
Title: Fit Varying Coefficient Models with Bayesian Additive Regression Trees
Version: 1.2.4
Date: 2025-12-03
Description: Fits linear varying coefficient (VC) models, which assert a linear relationship between an outcome and several covariates but allow that relationship (i.e., the coefficients or slopes in the linear regression) to change as functions of additional variables known as effect modifiers, by approximating the coefficient functions with Bayesian Additive Regression Trees. Implements a Metropolis-within-Gibbs sampler to simulate draws from the posterior over coefficient function evaluations. VC models with independent observations or repeated observations can be fit. For more details see Deshpande et al. (2024) <doi:10.1214/24-BA1470>.
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, MASS
URL: https://github.com/skdeshpande91/VCBART
NeedsCompilation: yes
Packaged: 2025-12-03 14:19:58 UTC; sameer
Author: Sameer K. Deshpande [aut, cre] , Ray Bai [aut] , Cecilia Balocchi [aut] , Jennifer Starling [aut], Jordan Weiss [aut]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>
Repository: CRAN
Date/Publication: 2025-12-09 16:00:02 UTC

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New package MethScope with initial version 1.0.0
Package: MethScope
Title: Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding
Version: 1.0.0
Description: Methods for analyzing DNA methylation data via Most Recurrent Methylation Patterns (MRMPs). Supports cell-type annotation, spatial deconvolution, unsupervised clustering, and cancer cell-of-origin inference. Includes C-backed summaries for YAME “.cg/.cm” files (overlap counts, log2 odds ratios, beta/depth aggregation), an XGBoost classifier, NNLS deconvolution, and plotting utilities. Scales to large spatial and single-cell methylomes and is robust to extreme sparsity.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: xgboost, dplyr, utils, tidyr, stringr, caret, doParallel, parallel, ggplot2, uwot, magrittr, FNN, data.table, nnls
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2025-12-03 17:38:44 UTC; fuh1
Maintainer: Hongxiang Fu <fhx@seas.upenn.edu>
Language: en-US
Author: Hongxiang Fu [aut, cre] , Wanding Zhou [cph, fnd], The SAMtools/HTSlib authors [ctb, cph] , Attractive Chaos [ctb, cph] )
Repository: CRAN
Date/Publication: 2025-12-09 16:00:07 UTC

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New package valueprhr with initial version 0.1.0
Package: valueprhr
Title: Value-Price Analysis with Bayesian and Panel Data Methods
Version: 0.1.0
Description: Provides tools for analyzing the relationship between direct prices (based on labor values) and prices of production using Bayesian generalized linear models, panel data methods, partial least squares regression, canonical correlation analysis, and panel vector autoregression. Includes functions for model comparison, out-of-sample validation, and structural break detection. Here, methods use raw accounting data with explicit temporal structure, following Gomez Julian (2023) <doi:10.17605/OSF.IO/7J8KF> and standard econometric techniques for panel data analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils, Metrics
Suggests: rstanarm, loo, plm, lme4, pls, vars, panelvar, strucchange, lmtest, sandwich, dplyr, tidyr, tibble, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/isadorenabi/valueprhr
BugReports: https://github.com/isadorenabi/valueprhr/issues
NeedsCompilation: no
Packaged: 2025-12-02 21:29:21 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-12-09 08:10:02 UTC

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New package SHARK4R with initial version 1.0.1
Package: SHARK4R
Title: Accessing and Validating Marine Environmental Data from 'SHARK' and Related Databases
Version: 1.0.1
Description: Provides functions to retrieve, process, analyze, and quality-control marine physical, chemical, and biological data. The main focus is on Swedish monitoring data available through the 'SHARK' database <https://shark.smhi.se/en/>, with additional API support for 'Nordic Microalgae' <https://nordicmicroalgae.org/>, 'Dyntaxa' <https://artfakta.se/>, World Register of Marine Species ('WoRMS') <https://www.marinespecies.org>, 'AlgaeBase' <https://www.algaebase.org>, OBIS 'xylookup' web service <https://iobis.github.io/xylookup/> and Intergovernmental Oceanographic Commission (IOC) - UNESCO databases on harmful algae <https://www.marinespecies.org/hab/> and toxins <https://toxins.hais.ioc-unesco.org/>.
License: MIT + file LICENSE
URL: https://sharksmhi.github.io/SHARK4R/, https://github.com/sharksmhi/SHARK4R
BugReports: https://github.com/sharksmhi/SHARK4R/issues
Depends: R (>= 4.1.0)
Imports: dplyr, DT, ggplot2, httr, jsonlite, leaflet, lifecycle, purrr, readr, readxl, rlang, sf, sp, stringi, terra, tidyr, vroom, worrms
Suggests: htmltools, iRfcb, knitr, plotly, RColorBrewer, rmarkdown, skimr, spelling, shiny, shinythemes, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-02 22:56:45 UTC; anders
Author: Markus Lindh [aut] , Anders Torstensson [aut, cre] , Mikael Hedblom [ctb] , Bengt Karlson [ctb] , SHARK [cph], SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>
Repository: CRAN
Date/Publication: 2025-12-09 08:50:07 UTC

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New package msPCA with initial version 0.1.0
Package: msPCA
Title: Sparse Principal Component Analysis with Multiple Principal Components
Version: 0.1.0
Date: 2025-12-02
Description: Implements an algorithm for computing multiple sparse principal components of a dataset. The method is based on Cory-Wright and Pauphilet "Sparse PCA with Multiple Principal Components" (2022) <doi:10.48550/arXiv.2209.14790>. The algorithm uses an iterative deflation heuristic with a truncated power method applied at each iteration to compute sparse principal components with controlled sparsity.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.11)
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-12-02 21:29:55 UTC; jeanpauphilet
Author: Ryan Cory-Wright [aut, cph] , Jean Pauphilet [aut, cre, cph]
Maintainer: Jean Pauphilet <jpauphilet@london.edu>
Repository: CRAN
Date/Publication: 2025-12-09 08:50:02 UTC

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New package SIP with initial version 0.1.0
Package: SIP
Title: Single-Iteration Permutation for Large-Scale Biobank Data
Version: 0.1.0
Description: A single, phenome-wide permutation of large-scale biobank data. When a large number of phenotypes are analyzed in parallel, a single permutation across all phenotypes followed by genetic association analyses of the permuted data enables estimation of false discovery rates (FDRs) across the phenome. These FDR estimates provide a significance criterion for interpreting genetic associations in a biobank context. For the basic permutation of unrelated samples, this package takes a sample-by-variable file with ID, genotypic covariates, phenotypic covariates, and phenotypes as input. For data with related samples, it also takes a file with sample pair-wise identity-by-descent information. The function outputs a permuted sample-by-variable file ready for genome-wide association analysis. See Annis et al. (2021) <doi:10.21203/rs.3.rs-873449/v1> for details.
URL: https://github.com/acannis/SIP
BugReports: https://github.com/acannis/SIP/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: stats, data.table, ggplot2
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-02 14:26:37 UTC; mk
Author: Aubrey Annis [aut, cre]
Maintainer: Aubrey Annis <acannis@umich.edu>
Repository: CRAN
Date/Publication: 2025-12-09 08:00:02 UTC

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New package resizableSplitLayout with initial version 0.1.1
Package: resizableSplitLayout
Title: Resizable Split Layout Module for 'shiny'
Version: 0.1.1
Description: A 'shiny' module to facilitate page layouts with resizable panes for page content based on 'split.js' 'JavaScript' library (<https://split.js.org>).
License: GPL (>= 3)
Imports: shiny, shinyjs
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-02 12:01:27 UTC; mschaff
Author: Michael Schaffer [aut, cre]
Maintainer: Michael Schaffer <mschaff@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-09 07:50:02 UTC

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New package RealSurvSim with initial version 1.0.0
Package: RealSurvSim
Title: Simulate Survival Data
Version: 1.0.0
Date: 2025-11-05
Description: Provides tools for simulating synthetic survival data using a variety of methods, including kernel density estimation, parametric distribution fitting, and bootstrap resampling techniques for a desired sample size.
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: fitdistrplus, kdensity, survival, univariateML, actuar, flexsurv, stats, FAdist
Depends: R (>= 3.5)
LazyData: true
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-12-02 10:42:34 UTC; thurow
Author: Maria Thurow [aut, cre] , Manasi Butee [aut], Ina Dormuth [ctb], Christina Sauer [ctb], Marc Ditzhaus [ctb], Markus Pauly [ctb]
Maintainer: Maria Thurow <maria.thurow@tu-dortmund.de>
Repository: CRAN
Date/Publication: 2025-12-09 07:50:18 UTC

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New package PSsurvival with initial version 0.1.0
Package: PSsurvival
Title: Propensity Score Methods for Survival Analysis
Version: 0.1.0
Description: Implements propensity score weighting methods for estimating counterfactual survival functions and marginal hazard ratios in observational studies with time-to-event outcomes. Supports binary and multiple treatment groups with average treatment effect on the combined full population (ATE), average treatment effect on the treated or target group (ATT), and overlap weighting estimands. Includes symmetric (Crump) and asymmetric (Sturmer) trimming options for extreme propensity scores. Variance estimation via analytical M-estimation or bootstrap. Methods based on Cheng et al. (2022) <doi:10.1093/aje/kwac043> and Li & Li (2019) <doi:10.1214/19-AOAS1282>.
License: GPL (>= 2)
URL: https://github.com/cxinyang/PSsurvival
BugReports: https://github.com/cxinyang/PSsurvival/issues
Depends: R (>= 3.5.0)
Imports: survival, stats, utils
Suggests: nnet, ggplot2, parallel, testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-02 10:59:23 UTC; chengxinyang
Author: Chengxin Yang [aut, cre], Chao Cheng [aut], Fan Li [aut], Fan Li [aut]
Maintainer: Chengxin Yang <chengxin.yang@duke.edu>
Repository: CRAN
Date/Publication: 2025-12-09 07:40:18 UTC

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New package gvcAnalyzer with initial version 0.1.1
Package: gvcAnalyzer
Title: Global Value Chain Decomposition for Value-Added Trade
Version: 0.1.1
Description: Provides tools for decomposing Global Value Chain (GVC) participation and value-added trade. It implements the frameworks proposed by Borin and Mancini (2023) 10.1080/09535314.2022.2153221> for source-based and sink-based decompositions, and by Borin, Mancini, and Taglioni (2025) 10.1093/wber/lhaf017> for tripartite and output-based GVC measures.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: Matrix, methods, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-02 09:36:15 UTC; ballavbabu
Author: Lila Ballav Bhusal [aut, cre] , Alessandro Borin [ctb] ; Borin, Mancini and Taglioni ), Michele Mancini [ctb] ; Borin, Mancini and Taglioni ), Daria Taglioni [ctb] )
Maintainer: Lila Ballav Bhusal <krish.bhula@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-09 07:40:01 UTC

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New package decompositionLE with initial version 1.0.0
Package: decompositionLE
Title: Provides Easy Methods to Perform Life Expectancy Decomposition
Version: 1.0.0
Description: Provides an easy to use implementation of life expectancy decomposition formulas for age bands, derived from Ponnapalli, K. (2005). A comparison of different methods for decomposition of changes in expectation of life at birth and differentials in life expectancy at birth. Demographic Research, 12, pp.141–172. <doi:10.4054/demres.2005.12.7> In addition, there is a decomposition function for disease cause breakdown and a couple helpful plot functions.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: dplyr, magrittr, stringr, tidyr, purrr, ggplot2, rlang
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), tibble, forcats
URL: https://github.com/herts-phei/decompositionLE
BugReports: https://github.com/herts-phei/decompositionLE/issues
NeedsCompilation: no
Packaged: 2025-12-02 11:07:31 UTC; vyu
Author: Victor Yu [aut, cre, cph], Will Yuill [ctb] , Emily Dickson [ctb]
Maintainer: Victor Yu <victor.yu@hertfordshire.gov.uk>
Repository: CRAN
Date/Publication: 2025-12-09 07:40:06 UTC

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New package crownsegmentr with initial version 1.0.1
Package: crownsegmentr
Title: Tree Crown Segmentation in Airborne LiDAR Point Clouds
Version: 1.0.1
Maintainer: Timon Miesner <timon.miesner@thuenen.de>
Description: Provides a function that performs the adaptive mean shift algorithm for individual tree crown delineation in 3D point clouds as proposed by Ferraz et al. (2016) <doi:10.1016/j.rse.2016.05.028>, as well as supporting functions.
License: GPL-3
URL: https://github.com/Lenostatos/crownsegmentr
Depends: R (>= 4.0.0)
Imports: assertthat, data.table, dbscan, lidR (>= 4.0.0), methods, Rcpp (>= 1.0.0), sf, terra
Suggests: EBImage, future, testthat (>= 3.0.0), raster
LinkingTo: BH (>= 1.75.0-0), progress, Rcpp (>= 1.0.0)
Contact: timon.miesner@thuenen.de, Leon.Steinmeier@posteo.net, nikolai.knapp@thuenen.de
Encoding: UTF-8
SystemRequirements: C++17, GNU make
NeedsCompilation: yes
Packaged: 2025-12-02 11:58:22 UTC; miesner
Author: Leon Steinmeier [aut] , Timon Miesner [cre, aut] , Nikolai Knapp [aut]
Repository: CRAN
Date/Publication: 2025-12-09 07:50:13 UTC

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New package aNCA with initial version 0.1.0
Package: aNCA
Title: (Pre-)Clinical NCA in a Dynamic Shiny App
Version: 0.1.0
Description: An interactive 'shiny' application for performing non-compartmental analysis (NCA) on pre-clinical and clinical pharmacokinetic data. The package builds on 'PKNCA' for core estimators and provides interactive visualizations, CDISC outputs ('ADNCA', 'PP', 'ADPP') and configurable TLGs (tables, listings, and graphs). Typical use cases include exploratory analysis, validation, reporting or teaching/demonstration of NCA methods. Methods and core estimators are described in Denney, Duvvuri, and Buckeridge (2015) "Simple, Automatic Noncompartmental Analysis: The PKNCA R Package" <doi:10.1007/s10928-015-9432-2>.
License: Apache License (>= 2)
Imports: dplyr, formatters, flextable, ggplot2, magrittr, methods, officer, PKNCA (>= 0.12.1), plotly, purrr, rlang, rlistings, scales, stats, stringr, tern, tidyr, units, utils
Encoding: UTF-8
Suggests: arrow, covr, DT, ggh4x, glue, haven, htmltools, htmlwidgets, jsonlite, knitr, lintr (>= 3.1.2), logger, markdown, mockery, nestcolor, openxlsx2, pak, reactable, reactable.extras, rmarkdown, sass, shiny, shinycssloaders, shinyjs, shinyjqui, shinytest2, shinyWidgets, stringi, testthat (>= 3.0.0), tools, quarto, vdiffr, withr, yaml
VignetteBuilder: knitr
Language: en-US
URL: https://pharmaverse.github.io/aNCA/, https://github.com/pharmaverse/aNCA
BugReports: https://github.com/pharmaverse/aNCA/issues
Depends: R (>= 4.1)
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-02 08:59:24 UTC; gerardo
Author: Ercan Suekuer [aut] , Gerardo Jose Rodriguez [aut] , Pascal Baertschi [aut] , Jana Spinner [aut] , Mateusz Kolomanski [aut] , Lucy Aspridis [aut] , Valentin Legras [aut, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Valentin Legras <anca.pharmaverse@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-09 07:40:12 UTC

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Mon, 08 Dec 2025

New package rdcor with initial version 1.0
Package: rdcor
Title: Rank Distance Correlation Coefficient
Version: 1.0
Date: 2025-12-01
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: dcov, Rfast, Rfast2
Description: The rank distance correlation <doi:10.1080/01621459.2020.1782223> is computed. Included also is a function to perform permutation based testing.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-12-01 19:11:54 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-12-08 08:20:02 UTC

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New package micvar with initial version 0.1.0
Package: micvar
Title: Order Selection in Vector Autoregression by Mean Square Information Criteria
Version: 0.1.0
Description: Implements order selection for Vector Autoregressive (VAR) models using the Mean Square Information Criterion (MIC). Unlike standard methods such as AIC and BIC, MIC is likelihood-free. This method consistently estimates VAR order and has robust performance under model misspecification. For more details, see Hellstern and Shojaie (2025) <doi:10.48550/arXiv.2511.19761>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: MASS, matrixcalc, Rdpack, stats
NeedsCompilation: no
Packaged: 2025-12-01 18:08:18 UTC; mike
Author: Michael Hellstern [aut, cre]
Maintainer: Michael Hellstern <mikeh1@uw.edu>
Repository: CRAN
Date/Publication: 2025-12-08 08:10:10 UTC

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New package MAIVE with initial version 0.1.10
Package: MAIVE
Title: Meta Analysis Instrumental Variable Estimator
Encoding: UTF-8
Version: 0.1.10
URL: https://meta-analysis.cz/maive/, https://github.com/meta-analysis-es/maive
BugReports: https://github.com/meta-analysis-es/maive/issues
Description: Meta-analysis traditionally assigns more weight to studies with lower standard errors, assuming higher precision. However, in observational research, precision must be estimated and is vulnerable to manipulation, such as p-hacking, to achieve statistical significance. This can lead to spurious precision, invalidating inverse-variance weighting and bias-correction methods like funnel plots. Common methods for addressing publication bias, including selection models, often fail or exacerbate the problem. This package introduces an instrumental variable approach to limit bias caused by spurious precision in meta-analysis. Methods are described in 'Irsova et al.' (2025) <doi:10.1038/s41467-025-63261-0>.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Imports: stats, clubSandwich
Suggests: testthat, knitr, rmarkdown, varhandle
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-02 02:33:36 UTC; runner
Author: Zuzana Irsova [aut] , Pedro R. D. Bom [aut] , Tomas Havranek [aut] , Heiko Rachinger [aut] , Petr Cala [aut, cre]
Maintainer: Petr Cala <cala.p@seznam.cz>
Repository: CRAN
Date/Publication: 2025-12-08 08:40:02 UTC

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New package famish with initial version 0.2.0
Package: famish
Title: Flexibly Tune Families of Probability Distributions
Version: 0.2.0
Description: Fits probability distributions to data and plugs into the 'probaverse' suite of R packages so distribution objects are ready for further manipulation and evaluation. Supports methods such as maximum likelihood and L-moments, and provides diagnostics including empirical ranking and quantile score.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: checkmate, distionary, fitdistrplus, ismev, lmom, rlang, stats, vctrs
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://famish.probaverse.com/, https://github.com/probaverse/famish/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-01 18:44:33 UTC; vcoia
Author: Vincenzo Coia [aut, cre, cph]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-08 08:20:11 UTC

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New package distplyr with initial version 0.2.0
Package: distplyr
Title: Manipulate and Combine Probability Distributions
Version: 0.2.0
Description: Go beyond standard probability distributions such as the Normal or Exponential by combining, shifting, maximizing, and otherwise transforming distributions with simple, verb-based functions. Provides easy access to a broader space of distributions more representative of real-world systems such as river flows or insurance claims. Part of the probaverse framework of packages to support advanced statistical modeling and simulations with an intuitive workflow.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: ellipsis, rlang, vctrs, stats, checkmate, distionary
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://distplyr.probaverse.com/, https://github.com/probaverse/distplyr
NeedsCompilation: no
Packaged: 2025-12-01 18:44:10 UTC; vcoia
Author: Vincenzo Coia [aut, cre, cph], Amogh Joshi [ctb], Shuyi Tan [ctb], Zhipeng Zhu [ctb]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-08 08:20:17 UTC

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New package charisma with initial version 1.0.0
Package: charisma
Title: Reproducible Color Characterization of Digital Images for Biological Studies
Version: 1.0.0
Description: Provides a standardized and reproducible framework for characterizing and classifying discrete color classes from digital images of biological organisms. The package automatically determines the presence or absence of 10 human-visible color categories (black, blue, brown, green, grey, orange, purple, red, white, yellow) using a biologically-inspired Color Look-Up Table (CLUT) that partitions HSV color space. Supports both fully automated and semi-automated (interactive) workflows with complete provenance tracking for reproducibility. Pre-processes images using the 'recolorize' package (Weller et al. 2024 <doi:10.1111/ele.14378>) for spatial-color binning, and integrates with 'pavo' (Maia et al. 2019 <doi:10.1111/2041-210X.13174>) for color pattern geometry statistics. Designed for high-throughput analysis and seamless integration with downstream evolutionary analyses.
License: MIT + file LICENSE
URL: https://github.com/shawntz/charisma, https://shawnschwartz.com/charisma/
BugReports: https://github.com/shawntz/charisma/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: magrittr, plyr, dplyr, tibble, purrr, tidyr, parallel, recolorize, imager, abind, jpeg, png, grDevices, graphics, stats, tools, utils
Suggests: pavo, testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-01 18:21:00 UTC; shawn.schwartz
Author: Shawn Schwartz [aut, cre, cph] , Whitney Tsai [aut] , Elizabeth Karan [aut] , Mark Juhn [aut], Allison Shultz [aut] , John McCormack [aut] , Thomas Smith [aut] , Michael Alfaro [aut]
Maintainer: Shawn Schwartz <shawn.t.schwartz@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-08 08:20:22 UTC

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Sat, 06 Dec 2025

New package moodlequiz with initial version 0.2.0
Package: moodlequiz
Title: R Markdown format for 'Moodle' XML cloze quizzes
Version: 0.2.0
Description: Enables the creation of 'Moodle' quiz questions using literate programming with R Markdown. This makes it easy to quickly create a quiz that can be randomly replicated with new datasets, questions, and options for answers.
License: MIT + file LICENSE
Encoding: UTF-8
Language: es
Imports: rlang, rmarkdown, bookdown, xfun, yaml
URL: https://github.com/numbats/moodlequiz, https://numbats.github.io/moodlequiz/
BugReports: https://github.com/numbats/moodlequiz/issues
Suggests: knitr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-01 13:58:59 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre] , Emi Tanaka [aut]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2025-12-06 12:10:07 UTC

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New package lvimp with initial version 1.0.0
Package: lvimp
Title: Perform Inference on Summaries of Longitudinal Algorithm-Agnostic Variable Importance
Version: 1.0.0
Description: Calculate point estimates of and valid confidence intervals for longitudinal summaries of nonparametric, algorithm-agnostic variable importance measures. For more details, see Williamson et al. (2024) <doi:10.48550/arXiv.2311.01638>.
License: MIT + file LICENSE
Imports: vimp
Suggests: knitr, rmarkdown, testthat, SuperLearner
URL: https://bdwilliamson.github.io/lvimp/
BugReports: https://github.com/bdwilliamson/lvimp/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-01 17:05:16 UTC; L107067
Author: Brian D. Williamson [aut, cre]
Maintainer: Brian D. Williamson <brian.d.williamson@kp.org>
Repository: CRAN
Date/Publication: 2025-12-06 12:20:02 UTC

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New package zarr with initial version 0.1.1
Package: zarr
Title: Native and Extensible R Driver for 'Zarr'
Version: 0.1.1
Description: The 'Zarr' specification is widely used to build libraries for the storage and retrieval of n-dimensional array data from data stores ranging from local file systems to the cloud. This package is a native 'Zarr' implementation in R with support for all required features of 'Zarr' version 3. It is designed to be extensible such that new stores, codecs and extensions can be added easily.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, methods, R6
Suggests: bit64, blosc, digest, testthat (>= 3.0.0), zlib
URL: https://github.com/R-CF/zarr
BugReports: https://github.com/R-CF/zarr/issues
NeedsCompilation: no
Packaged: 2025-12-01 09:36:19 UTC; patrickvanlaake
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>
Repository: CRAN
Date/Publication: 2025-12-06 11:50:02 UTC

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Fri, 05 Dec 2025

New package pater with initial version 1.0.0
Package: pater
Title: Turn a URL Pathname into a Regular Expression
Version: 1.0.0
Description: R's implementation of the JavaScript library 'path-to-regexp', it aims to provide R web frameworks features such as parameter handling among other URL path utilities.
License: MIT + file LICENSE
URL: https://github.com/JulioCollazos64/pater
BugReports: https://github.com/JulioCollazos64/pater/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), stringr
Imports: utils
NeedsCompilation: no
Packaged: 2025-12-01 06:47:45 UTC; julio
Author: Julio Collazos [aut, cre], path-to-regexp contributors [cph]
Maintainer: Julio Collazos <amarullazo626@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-05 20:20:02 UTC

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New package Ditwah with initial version 1.0.0
Package: Ditwah
Title: Ditwah Storm Data and Tools for Storm Monitoring and Early Warning November 2025, Sri Lanka
Version: 1.0.0
Description: The Ditwah storm began impacting Sri Lanka on 25 November 2025. Ditwah provides a collection of tidy, well-structured datasets to support storm data management, monitoring, and early warning applications in Sri Lanka. The publicly available data were converted to tidy data format for easy analysis. The package processes weather data, flood data and situation report data (families affected, etc.). The package also includes functions for analyzing river level progression and load dashboard visualizations to enhance situational awareness. This is also developed for educational purposes to support learning in data wrangling, visualization, and disaster analytics.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, tibble
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-01 02:37:05 UTC; DELL
Author: Thiyanga S. Talagala [aut, cre]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
Repository: CRAN
Date/Publication: 2025-12-05 20:00:02 UTC

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Thu, 04 Dec 2025

New package dauR with initial version 1.0
Package: dauR
Version: 1.0
Title: Datasets for "Sampling and Data Analysis Using R: Theory and Practice"
Maintainer: Professor Dr. Mohammad Shahidul Islam <shahed.stat@gmail.com>
Description: Provides several datasets used throughout the book "Sampling and Data Analysis Using R: Theory and Practice" by Islam (2025, ISBN:978-984-35-8644-5). The datasets support teaching and learning of statistical concepts such as sampling methods, descriptive analysis, estimation and basic data handling. These curated data objects allow instructors, students and researchers to reproduce examples, practice data manipulation and perform hands-on analysis using R.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-11-30 14:47:35 UTC; shahe
Author: Professor Dr. Mohammad Shahidul Islam [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-04 15:10:08 UTC

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New package cifmodeling with initial version 0.9.4
Package: cifmodeling
Title: Visualization and Polytomous Modeling of Survival and Competing Risks
Version: 0.9.4
Description: A publication-ready toolkit for modern survival and competing risks analysis with a minimal, formula-based interface. Both nonparametric estimation and direct polytomous regression of cumulative incidence functions (CIFs) are supported. The main functions 'cifcurve()', 'cifplot()', and 'cifpanel()' estimate survival and CIF curves and produce high-quality graphics with risk tables, censoring and competing-event marks, and multi-panel or inset layouts built on 'ggplot2' and 'ggsurvfit'. The modeling function 'polyreg()' performs direct polytomous regression for coherent joint modeling of all cause-specific CIFs to estimate risk ratios, odds ratios, or subdistribution hazard ratios at user-specified time points. All core functions adopt a formula-and-data syntax and return tidy and extensible outputs that integrate smoothly with 'modelsummary', 'broom', and the broader 'tidyverse' ecosystem. Key numerical routines are implemented in C++ via 'Rcpp'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: survival, mets, modelsummary, gtsummary, knitr, rmarkdown, testthat (>= 3.0.0), pkgdown
LinkingTo: Rcpp
Imports: Rcpp, nleqslv, boot, ggsurvfit, ggplot2, patchwork, scales, generics, lifecycle
VignetteBuilder: knitr
URL: https://gestimation.github.io/cifmodeling/, https://github.com/gestimation/cifmodeling
BugReports: https://github.com/gestimation/cifmodeling/issues
NeedsCompilation: yes
Packaged: 2025-11-30 12:04:32 UTC; Shiro
Author: Shiro Tanaka [aut, cre, cph] , Shigetaka Kobari [ctb], Chisato Honda [ctb]
Maintainer: Shiro Tanaka <gestimation@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-04 15:10:13 UTC

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New package TFORGE with initial version 0.1.14
Package: TFORGE
Title: Tests for Geophysical Eigenvalues
Version: 0.1.14
Description: The eigenvalues of observed symmetric matrices are often of intense scientific interest. This package offers single sample tests for the eigenvalues of the population mean or the eigenvalue-multiplicity of the population mean. For k-samples, this package offers tests for equal eigenvalues between samples. Included is support for matrices with constraints common to geophysical tensors (constant trace, sum of squared eigenvalues, or both) and eigenvectors are usually considered nuisance parameters. Pivotal bootstrap methods enable these tests to have good performance for small samples (n=15 for 3x3 matrices). These methods were developed and studied by Hingee, Scealy and Wood (2026, "Nonparametric bootstrap inference for the eigenvalues of geophysical tensors", accepted by the Journal of American Statistical Association). Also available is a 2-sample test using a Gaussian orthogonal ensemble approximation and an eigenvalue-multiplicity test that assumes orthogonally-invariant covariance.
URL: https://github.com/kasselhingee/TFORGE
Imports: mvtnorm, purrr, Rdpack
Suggests: testthat
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-29 00:34:24 UTC; kassel
Author: Kassel Liam Hingee [aut, cre] , Art B. Owen [cph] , Board of Trustees Leland Stanford Junior University [cph]
Maintainer: Kassel Liam Hingee <kassel.hingee@anu.edu.au>
Repository: CRAN
Date/Publication: 2025-12-04 14:40:40 UTC

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New package SFOCDs with initial version 1.0.0
Package: SFOCDs
Title: Space Filling Optimal Covariate Designs
Version: 1.0.0
Description: We have designed this package to address experimental scenarios involving multiple covariates. It focuses on construction of Optimal Covariate Designs (OCDs), checking space filling property of the developed design. The primary objective of the package is to generate OCDs using four methods viz., M array method, Juxtapose method, Orthogonal Integer Array and Hadamard method. The package also evaluates space filling properties of both the base design and OCDs using the MaxPro criterion, providing a meaningful basis for comparison. In addition, it includes tool to visualize the spread offered by the design points in the form of scatterplot, which help users to assess distribution and coverage of design points.
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
NeedsCompilation: no
Packaged: 2025-11-29 12:13:50 UTC; Ashutosh
Author: Neethu RS [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Ashutosh Dalal [aut, ctb, cre]
Date/Publication: 2025-12-04 14:50:02 UTC

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New package dentomedical with initial version 0.1.3
Package: dentomedical
Title: Publication-Ready Descriptive, Bivariate, Regression, and Diagnostic Accuracy Tools for Medical and Dental Data
Version: 0.1.3
Description: The 'dentomedical' package provides a comprehensive suite of tools for medical and dental research. It includes automated descriptive statistics, bivariate analysis with intelligent test selection, logistic regression, and diagnostic accuracy assessment. All functions generate structured, publication-ready tables using 'flextable', ensuring reproducibility and clarity suitable for manuscripts, reports, and clinical research workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, stats, flextable, tibble, MASS, broom, tidyr
Depends: R (>= 4.0.0)
URL: https://github.com/umarhussain-git/dentomedical
BugReports: https://github.com/umarhussain-git/dentomedical/issues
NeedsCompilation: no
Suggests: testthat, knitr, rmarkdown
Packaged: 2025-11-30 04:03:28 UTC; DR. Umar Hussain
Author: Umar Hussain [aut, cre]
Maintainer: Umar Hussain <drumarhussain@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-04 15:00:09 UTC

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New package blockedFF with initial version 0.1.0
Package: blockedFF
Title: Generation of Blocked Fractional Factorial Designs (Two-Level and Three-Level)
Version: 0.1.0
Description: Provides computational tools to generate efficient blocked and unblocked fractional factorial designs for two-level and three-level factors using the generalized Minimum Aberration (MA) criterion and related optimization algorithms. Methodological foundations include the general theory of minimum aberration as described by Cheng and Tang (2005) <doi:10.1214/009053604000001228>, and the catalogue of three-level regular fractional factorial designs developed by Xu (2005) <doi:10.1007/s00184-005-0408-x>. The main functions dol2() and dol3() generate blocked two-level and three-level fractional factorial designs, respectively, using beam search, optimization-based ranking, confounding assessment, and structured output suitable for complete factorial situations.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-30 03:54:24 UTC; B.N Mandal
Author: Sunil Kumar Yadav [aut], Sukanta Dash [aut, cre], Anil Kumar [aut]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-04 15:00:14 UTC

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New package caugi with initial version 0.3.1
Package: caugi
Title: Causal Graph Interface
Version: 0.3.1
Description: Create, query, and modify causal graphs. 'caugi' (Causal Graph Interface) is a causality-first, high performance graph package that provides a simple interface to build, structure, and examine causal relationships.
License: MIT + file LICENSE
URL: https://frederikfabriciusbjerre.github.io/caugi/
BugReports: https://github.com/frederikfabriciusbjerre/caugi/issues
Depends: R (>= 4.2)
Imports: data.table, fastmap, S7, stats, methods
Suggests: bnlearn, dagitty, devtools, ggm, graph, gRbase, igraph, knitr, MASS, Matrix, rextendr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.80.0, xz
NeedsCompilation: yes
Packaged: 2025-11-28 21:17:22 UTC; fabben
Author: Frederik Fabricius-Bjerre [aut, cre, cph], Johan Larsson [aut] , Michael Sachs [aut]
Maintainer: Frederik Fabricius-Bjerre <frederik@fabriciusbjerre.dk>
Repository: CRAN
Date/Publication: 2025-12-04 12:00:02 UTC

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Wed, 03 Dec 2025

New package statisR with initial version 1.0.1
Package: statisR
Title: STATIS and STATIS DUAL Multivariate Methods
Version: 1.0.1
Description: Provides tools for the integration and exploration of data tables measured on the same set of observational units. The package includes methods to assess similarities among tables, extract common patterns across variable blocks, and create visual summaries that highlight shared structures in multiblock data.
License: GPL (>= 2)
Encoding: UTF-8
Imports: ggforce, ggplot2, ggrepel
Depends: R (>= 4.1)
Language: en-US
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-28 20:49:01 UTC; promidat20
Author: Oldemar Rodriguez [aut, cre], Alejandro Vargas [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2025-12-03 21:20:02 UTC

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New package taskqueue with initial version 0.2.0
Package: taskqueue
Title: Task Queue for Parallel Computing Based on PostgreSQL
Version: 0.2.0
Description: Implements a task queue system for asynchronous parallel computing using 'PostgreSQL' <https://www.postgresql.org/> as a backend. Designed for embarrassingly parallel problems where tasks do not communicate with each other. Dynamically distributes tasks to workers, handles uneven load balancing, and allows new workers to join at any time. Particularly useful for running large numbers of independent tasks on high-performance computing (HPC) clusters with 'SLURM' <https://slurm.schedmd.com/> job schedulers.
URL: https://taskqueue.bangyou.me/, https://github.com/byzheng/taskqueue
BugReports: https://github.com/byzheng/taskqueue/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: settings, stats, stringr, RPostgres, ggplot2, whisker, rlang, shiny, DBI, ssh
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-27 23:59:11 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>
Repository: CRAN
Date/Publication: 2025-12-03 20:30:02 UTC

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New package snic with initial version 0.6.0
Package: snic
Title: Superpixel Segmentation with the Simple Non-Iterative Clustering Algorithm
Version: 0.6.0
Maintainer: Rolf Simoes <rolfsimoes@gmail.com>
Description: Implements the Simple Non-Iterative Clustering algorithm for superpixel segmentation of multi-band images, as introduced by Achanta and Susstrunk (2017) <doi:10.1109/CVPR.2017.520>. Supports both standard image arrays and geospatial raster objects, with a design that can be extended to other spatial data frameworks. The algorithm groups adjacent pixels into compact, coherent regions based on spectral similarity and spatial proximity. A high-performance implementation supports images with arbitrary spectral bands.
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), terra, spelling, covr, magick, jpeg, png, knitr, rmarkdown
URL: https://github.com/rolfsimoes/snic, https://rolfsimoes.github.io/snic/
BugReports: https://github.com/rolfsimoes/snic/issues
ByteCompile: true
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2025-11-28 03:49:24 UTC; rolf
Author: Rolf Simoes [aut, cre] , Felipe Souza [aut] , Felipe Carlos [aut] , Gilberto Camara [aut, rth]
Repository: CRAN
Date/Publication: 2025-12-03 20:40:02 UTC

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New package SHAKTI with initial version 0.1.0
Package: SHAKTI
Title: Suite for Heat-Related Adsorption Knowledge and Thermodynamic Inference
Description: A comprehensive framework for quantifying the fundamental thermodynamic parameters of adsorption reactions—changes in the standard Gibbs free energy (delta G), enthalpy (delta H), and entropy (delta S)—is essential for understanding the spontaneity, heat effects, and molecular ordering associated with sorption processes. By analysing temperature-dependent equilibrium data, thermodynamic interpretation expands adsorption studies beyond conventional isotherm fitting, offering deeper insight into underlying mechanisms and surface–solute interactions. Such an approach typically involves evaluating equilibrium coefficients across multiple temperatures and non-temperature treatments, deriving thermodynamic parameters using established thermodynamic relationships, and determining delta G as a temperature-specific indicator of adsorption favourability. This analytical pathway is widely applicable across environmental science, soil science, chemistry, materials science, and engineering, where r [...truncated...]
Author: Arkaprava Roy [aut], Debopam Rakshit [aut, cre], Siba Prasad Datta [aut], Kanchikeri Math Manjaiah [aut], Mandira Barman [aut], Debashis Mandal [aut]
Maintainer: Debopam Rakshit <rakshitdebopam@yahoo.com>
Version: 0.1.0
Encoding: UTF-8
License: GPL-3
Imports: dplyr, stats, magrittr
NeedsCompilation: no
Packaged: 2025-11-28 06:43:41 UTC; Debopam
Repository: CRAN
Date/Publication: 2025-12-03 20:40:08 UTC

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New package rtmpinv with initial version 0.1.0
Package: rtmpinv
Title: Tabular Matrix Problems via Pseudoinverse Estimation
Version: 0.1.0
Description: The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2)
Imports: rclsp
Suggests: testthat (>= 3.0.0)
URL: https://github.com/econcz/rtmpinv
BugReports: https://github.com/econcz/rtmpinv/issues
NeedsCompilation: no
Packaged: 2025-11-28 01:23:45 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2025-12-03 20:30:08 UTC

More information about rtmpinv at CRAN
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New package rlppinv with initial version 0.1.0
Package: rlppinv
Title: Linear Programming via Regularized Least Squares
Version: 0.1.0
Description: The Linear Programming via Regularized Least Squares (LPPinv) is a two-stage estimation method that reformulates linear programs as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, LPPinv solves linear inequality, equality, and bound constraints by (1) constructing a canonical constraint system and computing a pseudoinverse projection, followed by (2) a convex-programming correction stage to refine the solution under additional regularization (e.g., Lasso, Ridge, or Elastic Net). LPPinv is intended for underdetermined and ill-posed linear problems, for which standard solvers fail.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2)
Imports: rclsp
Suggests: testthat (>= 3.0.0)
URL: https://github.com/econcz/rlppinv
BugReports: https://github.com/econcz/rlppinv/issues
NeedsCompilation: no
Packaged: 2025-11-28 01:13:20 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2025-12-03 20:30:13 UTC

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New package osrm.backend with initial version 0.1.0
Package: osrm.backend
Title: Bindings for 'Open Source Routing Machine'
Version: 0.1.0
Description: Install and control 'Open Source Routing Machine' ('OSRM') backend executables to prepare routing data and run/stop a local 'OSRM' server. For computations with the running server use the 'osrm' R package (<https://cran.r-project.org/package=osrm>).
License: MIT + file LICENSE
URL: https://github.com/e-kotov/osrm.backend, https://www.ekotov.pro/osrm.backend/
BugReports: https://github.com/e-kotov/osrm.backend/issues
Imports: digest, httr2, jsonlite, processx, ps
Suggests: knitr, osrm, quarto, sf, testthat (>= 3.0.0)
VignetteBuilder: quarto
Encoding: UTF-8
Language: en
SystemRequirements: OSRM backend binaries (>= v5.27.0) <https://github.com/Project-OSRM/osrm-backend>; package downloads binaries automatically if not found
NeedsCompilation: no
Packaged: 2025-11-28 13:24:05 UTC; ek
Author: Egor Kotov [aut, cre, cph]
Maintainer: Egor Kotov <kotov.egor@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-03 21:00:02 UTC

More information about osrm.backend at CRAN
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New package MultiRFM with initial version 1.1.0
Package: MultiRFM
Title: High-Dimensional Multi-Study Robust Factor Model
Version: 1.1.0
Date: 2025-11-28
Author: Wei Liu [aut, cre], Xiaolu Jiang [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
Description: We introduce a high-dimensional multi-study robust factor model, which learns latent features and accounts for the heterogeneity among source. It could be used for analyzing heterogeneous RNA sequencing data. More details can be referred to Jiang et al. (2025) <doi:10.48550/arXiv.2506.18478>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: MASS, irlba, LaplacesDemon, mixtools, mvtnorm, Rcpp (>= 1.0.8.3)
URL: https://github.com/feiyoung/MultiRFM
BugReports: https://github.com/feiyoung/MultiRFM/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-11-28 11:25:25 UTC; 10297
Repository: CRAN
Date/Publication: 2025-12-03 20:50:07 UTC

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New package geopsych with initial version 0.1.0
Package: geopsych
Title: Methods of Applied Psychology and Psychometrics in Geographical Analysis
Version: 0.1.0
Description: Integrating applied psychological and psychometric methods into geographical analysis. With the emergence of geo-referenced questionnaires, spatially explicit psychological and psychometric methods can offer a geographically contextualised approach that reflects latent traits and processes at a more local scale, leading to more tailored research and decision-making processes. The implemented methods include Geographically Weighted Cronbach's alpha and its bandwidth selection. See Zhang & Li (2025) <doi:10.1111/gean.70021>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/ZhangSui921/geopsych
Depends: R (>= 3.5)
Imports: sp
NeedsCompilation: no
Packaged: 2025-11-28 11:37:42 UTC; f89389sz
Author: Sui Zhang [aut, cre]
Maintainer: Sui Zhang <sui.zhang@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-03 20:50:02 UTC

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New package FoRDM with initial version 1.0.0
Package: FoRDM
Title: Forest Many-Objective Robust Decision Making ('FoRDM')
Version: 1.0.0
Maintainer: Marc Djahangard <marc.djahangard@ife.uni-freiburg.de>
Description: Forest Many-Objective Robust Decision Making ('FoRDM') is a R toolkit for supporting robust forest management under deep uncertainty. It provides a forestry-focused application of Many-Objective Robust Decision Making ('MORDM') to forest simulation outputs, enabling users to evaluate robustness using regret- and 'satisficing'-based measures. 'FoRDM' identifies robust solutions, generates Pareto fronts, and offers interactive 2D, 3D, and parallel-coordinate visualizations.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.3.0), magrittr (>= 2.0.0), tidyr (>= 1.1.0), rlang (>= 0.4.0), tibble (>= 3.0.0), plotly (>= 4.10.0), emoa (>= 0.5.0), stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-28 12:27:56 UTC; Marc Djahangard
Author: Marc Djahangard [aut, cre], Rasoul Yousefpour [aut]
Repository: CRAN
Date/Publication: 2025-12-03 20:50:11 UTC

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New package CimpleG with initial version 1.0.0
Package: CimpleG
Title: A Method to Identify Single CpG Sites for Classification and Deconvolution
Version: 1.0.0
Date: 2025-11-21
Maintainer: Tiago F.V. Maie <tiagomaie@hotmail.com>
Description: DNA methylation signatures are usually based on multivariate approaches that require hundreds of sites for predictions. 'CimpleG' is a method for the detection of small CpG methylation signatures used for cell-type classification and deconvolution. 'CimpleG' is time efficient and performs as well as top performing methods for cell-type classification of blood cells and other somatic cells, while basing its prediction on a single DNA methylation site per cell type (but users can also select more sites if they so wish). Users can train cell type classifiers ('CimpleG' based, and others) and directly apply these in a deconvolution of cell mixes context. Altogether, 'CimpleG' provides a complete computational framework for the delineation of DNAm signatures and cellular deconvolution. For more details see Maié et al. (2023) <doi:10.1186/s13059-023-03000-0>.
License: GPL (>= 3)
URL: https://github.com/CostaLab/CimpleG, https://costalab.github.io/CimpleG/
BugReports: https://github.com/CostaLab/CimpleG/issues
Depends: R (>= 4.1.0)
Imports: archive, assertthat, broom, butcher, caret, data.table, devtools, dplyr, forcats, ggExtra, ggplot2, ggrepel, ggsci, grDevices, gtools, magrittr, matrixStats, methods, nnls, OneR, parsnip, patchwork, purrr, recipes, rlang, rsample, scales, stats, tibble, tictoc, tidyr, tidyselect, tsutils, tune, utils, vroom, workflows, yardstick
Suggests: Biobase, biomaRt, C50, circlize, EpiDISH, furrr, future, future.apply, GEOquery, ggbeeswarm, ggsignif, glmnet, knitr, minfi, mltools, NMF, nnet, plyr, ranger, RColorBrewer, reshape2, Rfast, rmarkdown, spelling, stringr, SummarizedExperiment, testthat (>= 3.0.0), withr, xgboost
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-28 09:48:45 UTC; tmaie
Author: Tiago F.V. Maie [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-03 20:50:17 UTC

More information about CimpleG at CRAN
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Tue, 02 Dec 2025

New package min2HalfFFD with initial version 0.1.0
Package: min2HalfFFD
Title: Minimally Changed Two-Level Half-Fractional Factorial Designs
Version: 0.1.0
Maintainer: Bijoy Chanda <bijoychanda08@gmail.com>
Description: In many agricultural, engineering, industrial, post-harvest and processing experiments, the number of factor level changes and hence the total number of changes is of serious concern as such experiments may consists of hard-to-change factors where it is physically very difficult to change levels of some factors or sometime such experiments may require normalization time to obtain adequate operating condition. For this reason, run orders that offer the minimum number of factor level changes and at the same time minimize the possible influence of systematic trend effects on the experimentation have been sought. Factorial designs with minimum changes in factors level may be preferred for such situations as these minimally changed run orders will minimize the cost of the experiments. This technique can be employed to any half replicate of two level factorial run order where the number of factors are greater than two. For method details see, Bhowmik, A., Varghese, E., Jaggi, S. and Varghes [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: shiny, hrtlFMC, shinybusy
Suggests: testthat (>= 3.0.0), roxygen2, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-27 05:12:34 UTC; Bijoy Chanda
Author: Bijoy Chanda [aut, cre, ctb], Arpan Bhowmik [aut, ctb], Seema Jaggi [aut], Eldho Varghese [aut, ctb], Cini Varghese [aut], Anindita Datta [aut], Dibyendu Deb [aut]
Repository: CRAN
Date/Publication: 2025-12-02 15:10:02 UTC

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New package StealLikeBayes with initial version 1.0
Package: StealLikeBayes
Title: A Compendium of Bayesian Statistical Routines Written in 'C++'
Version: 1.0
Date: 2025-11-26
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>
Description: This is a compendium of 'C++' routines useful for Bayesian statistics. We steal other people's 'C++' code, repurpose it, and export it so developers of 'R' packages can use it in their 'C++' code. We actually don't steal anything, or claim that Thomas Bayes did, but copy code that is compatible with our GPL 3 licence, fully acknowledging the authorship of the original code.
Imports: Rcpp (>= 1.1.0), GIGrvg
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, GIGrvg
Suggests: tinytest
URL: https://bsvars.org/StealLikeBayes/
BugReports: https://github.com/bsvars/StealLikeBayes/issues
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-26 20:33:25 UTC; twozniak
Author: Tomasz Wozniak [aut, cre] , Xiaolei Wang [aut] , Longcan Li [aut] , Jianying Shelly Xie [aut] , Filip Reierson [aut] , Kenyon Ng [aut]
Repository: CRAN
Date/Publication: 2025-12-02 14:50:02 UTC

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New package Sobol4R with initial version 0.4.0
Package: Sobol4R
Title: Sobol Indices for Models with Fixed and Stochastic Parameters
Version: 0.4.0
Date: 2025-11-26
Depends: R (>= 3.5.0)
Imports: ggplot2, Rcpp (>= 1.0.0), rlang, sensitivity, stats
Suggests: knitr, markdown, rmarkdown, simmer, testthat (>= 3.0.0)
LinkingTo: Rcpp
Author: Frederic Bertrand [cre, aut] , Elizaveta Logosha [aut], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Tools to design experiments, compute Sobol sensitivity indices, and summarise stochastic responses inspired by the strategy described by Zhu and Sudret (2021) <doi:10.1016/j.ress.2021.107815>. Includes helpers to optimise toy models implemented in C++, visualise indices with uncertainty quantification, and derive reliability-oriented sensitivity measures based on failure probabilities. It is further detailed in Logosha, Maumy and Bertrand (2022) <doi:10.1063/5.0246026> and (2023) <doi:10.1063/5.0246024> or in Bertrand, Logosha and Maumy (2024) <https://hal.science/hal-05371803>, <https://hal.science/hal-05371795> and <https://hal.science/hal-05371798>.
LazyLoad: yes
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
Classification/MSC:
URL: https://fbertran.github.io/Sobol4R/, https://github.com/fbertran/Sobol4R
BugReports: https://github.com/fbertran/Sobol4R/issues
NeedsCompilation: yes
Packaged: 2025-11-27 00:54:30 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-12-02 15:00:02 UTC

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New package PEAXAI with initial version 0.1.0
Package: PEAXAI
Title: Probabilistic Efficiency Analysis Using Explainable Artificial Intelligence
Version: 0.1.0
Description: Provides a probabilistic framework that integrates Data Envelopment Analysis (DEA) (Banker et al., 1984) <doi:10.1287/mnsc.30.9.1078> with machine learning classifiers (Kuhn, 2008) <doi:10.18637/jss.v028.i05> to estimate both the (in)efficiency status and the probability of efficiency for decision-making units. The approach trains predictive models on DEA-derived efficiency labels (Charnes et al., 1985) <doi:10.1016/0304-4076(85)90133-2>, enabling explainable artificial intelligence (XAI) workflows with global and local interpretability tools, including permutation importance (Molnar et al., 2018) <doi:10.21105/joss.00786>, Shapley value explanations (Strumbelj & Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and sensitivity analysis (Cortez, 2011) <https://CRAN.R-project.org/package=rminer>. The framework also supports probability-threshold peer selection and counterfactual improvement recommendations for benchmarking and policy evaluation. T [...truncated...]
License: GPL-3
URL: https://github.com/rgonzalezmoyano/PEAXAI
BugReports: https://github.com/rgonzalezmoyano/PEAXAI/issues
Encoding: UTF-8
Language: en
Depends: R (>= 3.5)
Imports: Benchmarking, caret, deaR, dplyr, fastshap, iml, PRROC, pROC, rminer, stats
Suggests: ggplot2, knitr, rmarkdown, nnet
VignetteBuilder: knitr
LazyData: false
ByteCompile: true
NeedsCompilation: no
Packaged: 2025-11-27 01:08:27 UTC; Ricardo
Author: Ricardo Gonzalez Moyano [cre, aut] , Juan Aparicio [aut] , Jose Luis Zofio [aut] , Victor Espana [aut]
Maintainer: Ricardo Gonzalez Moyano <ricardo.gonzalezm@umh.es>
Repository: CRAN
Date/Publication: 2025-12-02 14:50:07 UTC

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New package motherduck with initial version 0.2.0
Package: motherduck
Title: Utilities for Managing a 'Motherduck' Database
Version: 0.2.0
Description: Provides helper functions, metadata utilities, and workflows for administering and managing databases on the 'Motherduck' cloud platform. Some features require a 'Motherduck' account (<https://motherduck.com/>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: DBI, assertthat, cli, dbplyr, dplyr, duckdb (>= 1.4.1), glue, purrr, stringr, httr2, rlang, janitor, tibble
Suggests: testthat (>= 3.0.0), quarto, contoso, openxlsx
Depends: R (>= 4.1.0)
URL: https://usrbinr.github.io/motherduck/
NeedsCompilation: no
Packaged: 2025-11-26 16:54:06 UTC; hagan
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>
Repository: CRAN
Date/Publication: 2025-12-02 14:40:02 UTC

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Mon, 01 Dec 2025

New package DSFM with initial version 1.0.1
Package: DSFM
Title: Distributed Skew Factor Model Estimation Methods
Version: 1.0.1
Author: Guangbao Guo [aut, cre], Yu Jin [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: Provides a distributed framework for simulating and estimating skew factor models under various skewed and heavy-tailed distributions. The methods support distributed data generation, aggregation of local estimators, and evaluation of estimation performance via mean squared error, relative error, and sparsity measures. The distributed principal component (PC) estimators implemented in the package include 'IPC' (Independent Principal Component),'PPC' (Project Principal Component), 'SPC' (Sparse Principal Component), and other related distributed PC methods. The methodological background follows Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: MASS, matrixcalc, sn, stats, psych, elasticnet, SOPC
Suggests: ggplot2, cowplot, testthat (>= 3.0.0)
NeedsCompilation: no
Language: en-US
License: MIT + file LICENSE
Packaged: 2025-11-26 11:35:33 UTC; AIERXUAN
Repository: CRAN
Date/Publication: 2025-12-01 15:10:02 UTC

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New package trunmnt with initial version 1.0.0
Package: trunmnt
Title: Moments of Truncated Multivariate Normal Distribution
Version: 1.0.0
Date: 2025-11-8
Description: Computes the product moments of the truncated multivariate normal distribution, particularly for cases involving patterned variance-covariance matrices. It also has the capability to calculate these moments with arbitrary positive-definite matrices, although performance may degrade for high-dimensional variables.
License: GPL-2
Depends: R (>= 4.1.0)
Imports: fastGHQuad, Rcpp, RcppArmadillo
Suggests: MomTrunc (>= 6.1), truncnorm (>= 1.0.9), tmvtnorm (>= 1.7), testthat, R.rsp
LinkingTo: Rcpp, RcppArmadillo, fastGHQuad
NeedsCompilation: yes
VignetteBuilder: R.rsp
Encoding: UTF-8
Packaged: 2025-11-25 19:19:18 UTC; LeeSeung
Author: Seung-Chun Lee [aut, cre]
Maintainer: Seung-Chun Lee <seung@hs.ac.kr>
Repository: CRAN
Date/Publication: 2025-12-01 14:40:08 UTC

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New package SpuriousMemory with initial version 1.0.0
Package: SpuriousMemory
Title: Testing True Long Memory Against Spurious Long Memory
Version: 1.0.0
Maintainer: Zhongjun Qu <qu@bu.edu>
Description: Implements a test for distinguishing between true long memory and spurious long memory. Reference: Qu, Z. (2011). "A Test Against Spurious Long Memory." Journal of Business & Economic Statistics, 29(3), 423–438. <doi:10.1198/jbes.2010.09153>.
License: GPL (>= 3)
Depends: R (>= 4.3.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Imports: fracdiff, stats
LazyData: true
Packaged: 2025-11-25 18:47:36 UTC; qu
Author: Zhongjun Qu [aut, cre], Cheolju Kim [aut]
Repository: CRAN
Date/Publication: 2025-12-01 14:40:21 UTC

More information about SpuriousMemory at CRAN
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New package secrfunc with initial version 1.0.0
Package: secrfunc
Title: Helper Functions for Package 'secr'
Version: 1.0.0
Date: 2025-11-26
Description: Functions are provided for internal use by the spatial capture-recapture package 'secr' (from version 5.4.0). The idea is to speed up the installation of 'secr', and possibly reduce its size. Initially the functions are those for area and transect search that use numerical integration code from 'RcppNumerical' and 'RcppEigen'. The functions are not intended to be user-friendly and require considerable preprocessing of data.
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.12.14), RcppNumerical, RcppParallel (>= 5.1.1)
Suggests: knitr, rmarkdown, testthat
LinkingTo: BH, Rcpp, RcppEigen, RcppNumerical, RcppParallel
License: GPL (>= 2)
SystemRequirements: GNU make
URL: https://www.otago.ac.nz/density/
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-25 23:57:24 UTC; murra
Author: Murray Efford [aut, cre] , Philipp Jund [ctb] )
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Repository: CRAN
Date/Publication: 2025-12-01 14:50:02 UTC

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New package odiffr with initial version 0.1.0
Package: odiffr
Title: Fast Pixel-by-Pixel Image Comparison Using 'odiff'
Version: 0.1.0
Description: R bindings to 'odiff', a blazing-fast pixel-by-pixel image comparison tool <https://github.com/dmtrKovalenko/odiff>. Supports PNG, JPEG, WEBP, and TIFF with configurable thresholds, antialiasing detection, and region ignoring. Requires system installation of 'odiff'. Ideal for visual regression testing in automated workflows.
SystemRequirements: odiff (>= 3.0.0) - https://github.com/dmtrKovalenko/odiff
License: MIT + file LICENSE
URL: https://github.com/BenWolst/odiffr
BugReports: https://github.com/BenWolst/odiffr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: tools
Suggests: knitr, magick, png, rmarkdown, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-26 12:45:00 UTC; benwolstenholme
Author: Ben Wolstenholme [aut, cre]
Maintainer: Ben Wolstenholme <odiffr@benwolst.dev>
Repository: CRAN
Date/Publication: 2025-12-01 15:00:02 UTC

More information about odiffr at CRAN
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New package MLFDR with initial version 0.1.0
Package: MLFDR
Title: High Dimensional Mediation Analysis using Local False Discovery Rates
Version: 0.1.0
Description: Implements a high dimensional mediation analysis algorithm using Local False Discovery Rates. The methodology is described in Roy and Zhang (2024) <doi:10.48550/arXiv.2402.13933>.
License: GPL-2
Encoding: UTF-8
Imports: NMOF, stats
NeedsCompilation: no
Packaged: 2025-11-25 19:04:51 UTC; asmitaroy
Author: Asmita Roy [aut, cre]
Maintainer: Asmita Roy <aroy38@jh.edu>
Repository: CRAN
Date/Publication: 2025-12-01 14:40:27 UTC

More information about MLFDR at CRAN
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New package LBBNN with initial version 0.1.1
Package: LBBNN
Title: Latent Binary Bayesian Neural Networks Using 'torch'
Version: 0.1.1
Maintainer: Lars Skaaret-Lund <lars.skaaret-lund@nmbu.no>
Description: Latent binary Bayesian neural networks (LBBNNs) are implemented using 'torch', an R interface to the LibTorch backend. Supports mean-field variational inference as well as flexible variational posteriors using normalizing flows. The standard LBBNN implementation follows Hubin and Storvik (2024) <doi:10.3390/math12060788>, using the local reparametrization trick as in Skaaret-Lund et al. (2024) <https://openreview.net/pdf?id=d6kqUKzG3V>. Input-skip connections are also supported, as described in Høyheim et al. (2025) <doi:10.48550/arXiv.2503.10496>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
Imports: ggplot2, torch, igraph, coro, svglite
NeedsCompilation: no
Packaged: 2025-11-25 10:49:33 UTC; larsskaaret-lund
Author: Lars Skaaret-Lund [aut, cre], Aliaksandr Hubin [aut], Eirik Hoeyheim [aut]
Repository: CRAN
Date/Publication: 2025-12-01 14:10:17 UTC

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New package heavytails with initial version 0.1.1
Package: heavytails
Title: Estimators and Algorithms for Heavy-Tailed Distributions
Version: 0.1.1
Description: Implements the estimators and algorithms described in Chapters 8 and 9 of the book "The Fundamentals of Heavy Tails: Properties, Emergence, and Estimation" by Nair et al. (2022, ISBN:9781009053730). These include the Hill estimator, Moments estimator, Pickands estimator, Peaks-over-Threshold (POT) method, Power-law fit, and the Double Bootstrap algorithm.
License: MIT + file LICENSE
URL: https://github.com/0diraf/heavytails
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-25 17:54:07 UTC; diraF
Author: Farid Rohan [aut, cre]
Maintainer: Farid Rohan <frohan@ur.rochester.edu>
Repository: CRAN
Date/Publication: 2025-12-01 14:30:02 UTC

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New package ExpBites with initial version 0.1.3
Package: ExpBites
Title: Analyzing Human Exposure to Mosquito Biting
Version: 0.1.3
Description: Tools to analyse human and mosquito behavioral interactions and to compute exposure to mosquito bites estimates. Using behavioral data for human individuals and biting patterns for mosquitoes, you will be able to compute hourly exposure for bed net users and non-users, and summarize (e.g. proportion indoors and outdoors, proportion per time periods, and proportion prevented by bed nets) or visualize these dynamics across a 24-hour cycle.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, tidyr, ggplot2, Rdpack (>= 0.7)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
URL: https://github.com/Nmoiroux/ExpBites
BugReports: https://github.com/Nmoiroux/ExpBites/issues
NeedsCompilation: no
Packaged: 2025-11-26 10:14:56 UTC; nicolasmoiroux
Author: Nicolas Moiroux [aut, cre]
Maintainer: Nicolas Moiroux <nicolas.moiroux@ird.fr>
Repository: CRAN
Date/Publication: 2025-12-01 15:00:08 UTC

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New package energyGOF with initial version 0.1
Package: energyGOF
Title: Goodness-of-Fit Tests for Univariate Data via Energy
Version: 0.1
Description: Conduct one- and two-sample goodness-of-fit tests for univariate data. In the one-sample case, normal, uniform, exponential, Bernoulli, binomial, geometric, beta, Poisson, lognormal, Laplace, asymmetric Laplace, inverse Gaussian, half-normal, chi-squared, gamma, F, Weibull, Cauchy, and Pareto distributions are supported. egof.test() can also test goodness-of-fit to any distribution with a continuous distribution function. A subset of the available distributions can be tested for the composite goodness-of-fit hypothesis, that is, one can test for distribution fit with unknown parameters. P-values are calculated via parametric bootstrap.
License: GPL (>= 3)
Encoding: UTF-8
Imports: energy, gsl, boot, fitdistrplus, statmod
URL: https://github.com/jthaman/energyGOF
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-25 19:44:35 UTC; john
Author: John Haman [aut, cre]
Maintainer: John Haman <mail@johnhaman.org>
Repository: CRAN
Date/Publication: 2025-12-01 14:40:15 UTC

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New package distionary with initial version 0.1.0
Package: distionary
Title: Create and Evaluate Probability Distributions
Version: 0.1.0
Description: Create and evaluate probability distribution objects from a variety of families or define custom distributions. Automatically compute distributional properties, even when they have not been specified. This package supports statistical modeling and simulations, and forms the core of the probaverse suite of R packages.
License: MIT + file LICENSE
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), tibble
Encoding: UTF-8
Imports: checkmate, ellipsis, rlang, stats, vctrs
VignetteBuilder: knitr
URL: https://distionary.probaverse.com/, https://github.com/probaverse/distionary
BugReports: https://github.com/probaverse/distionary/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-11-25 12:28:01 UTC; vcoia
Author: Vincenzo Coia [aut, cre, cph], Amogh Joshi [ctb], Shuyi Tan [ctb], Zhipeng Zhu [ctb]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-01 14:10:09 UTC

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New package bigPLSR with initial version 0.7.2
Package: bigPLSR
Version: 0.7.2
Date: 2025-11-26
Depends: R (>= 4.0.0)
Imports: Rcpp, bigmemory
LinkingTo: Rcpp, RcppArmadillo, BH, bigmemory
Suggests: bench, dplyr, forcats, future, future.apply, ggplot2, knitr, pls, plsRglm, rmarkdown, RhpcBLASctl, svglite, testthat (>= 3.0.0), tidyr, withr
VignetteBuilder: knitr
Title: Partial Least Squares Regression Models with Big Matrices
Author: Frederic Bertrand [cre, aut] , Myriam Maumy [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Fast partial least squares (PLS) for dense and out-of-core data. Provides SIMPLS (straightforward implementation of a statistically inspired modification of the PLS method) and NIPALS (non-linear iterative partial least-squares) solvers, plus kernel-style PLS variants ('kernelpls' and 'widekernelpls') with parity to 'pls'. Optimized for 'bigmemory'-backed matrices with streamed cross-products and chunked BLAS (Basic Linear Algebra Subprograms) (XtX/XtY and XXt/YX), optional file-backed score sinks, and deterministic testing helpers. Includes an auto-selection strategy that chooses between XtX SIMPLS, XXt (wide) SIMPLS, and NIPALS based on (n, p) and a configurable memory budget. About the package, Bertrand and Maumy (2023) <https://hal.science/hal-05352069>, and <https://hal.science/hal-05352061> highlighted fitting and cross-validating PLS regression models to big data. For more details about some of the techniques featured in the package, Dayal and MacGregor (1997) <d [...truncated...]
License: GPL-3
Encoding: UTF-8
URL: https://fbertran.github.io/bigPLSR/, https://github.com/fbertran/bigPLSR
BugReports: https://github.com/fbertran/bigPLSR/issues
Classification/MSC: 62N01, 62N02, 62N03, 62N99
LazyData: true
SystemRequirements: C++17, Optional CBLAS (detected at compile time)
NeedsCompilation: yes
Packaged: 2025-11-26 01:52:43 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-12-01 14:50:07 UTC

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New package TopicTestlet with initial version 0.1.0
Package: TopicTestlet
Title: A Topic Testlet Model for Calibrating Testlet Constructed Responses
Version: 0.1.0
Description: Implements the Topic Testlet Model (TTM) as described by Xiong et al. (2025) <doi:10.1111/jedm.70001>. The package integrates Latent Dirichlet Allocation (LDA) with the Partial Credit Model to account for local item dependence in testlets using latent topics from student textual responses.
Depends: R (>= 4.0.0)
Imports: topicmodels, tm, stats
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-25 03:35:49 UTC; jx
Author: Jiawei Xiong [aut, cre], Cheng Tang [ctb], Qidi Liu [ctb]
Maintainer: Jiawei Xiong <jiawei.xiong@uga.edu>
Repository: CRAN
Date/Publication: 2025-12-01 14:00:02 UTC

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New package stoichUtilities with initial version 1.0.2
Package: stoichUtilities
Title: User Tools for Accessing the STOICH Project Database
Version: 1.0.2
Description: User tools for working with The STOICH (Stoichiometric Traits of Organisms in their Chemical Habitats) Project database <https://snr-stoich.unl.edu/>. This package is designed to aid in data discovery, filtering, pairing water samples with organism samples, and merging data tables to assist users in preparing data for analyses. For additional examples see "Additional Examples" and the readme file at <https://github.com/STOICH-project/STOICH-utilities>.
URL: https://github.com/STOICH-project/STOICH-utilities, https://snr-stoich.unl.edu/, https://stoichproject.wordpress.com/
BugReports: https://github.com/STOICH-project/STOICH-utilities/issues
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: tibble, tidyr, dplyr, readr, stringr, purrr, magrittr, lubridate, sf, rlang, units, stats, jsonlite
Suggests: tidyverse, maps, knitr, rmarkdown, gt, glue, gluedown, kableExtra, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-24 19:28:30 UTC; Chad
Author: Chad Petersen [aut, cre], Jessica Corman [ctb], Halvor Halvorson [ctb], Casey Brucker [ctb], Eli Wess [ctb], U.S. National Science Foundation [fnd]
Maintainer: Chad Petersen <cpetersen4@unl.edu>
Repository: CRAN
Date/Publication: 2025-12-01 13:40:02 UTC

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New package PSPI with initial version 1.1
Package: PSPI
Title: Propensity Score Predictive Inference for Generalizability
Version: 1.1
Date: 2025-11-15
Author: Jungang Zou [aut, cre], Qixuan Chen [aut], Joseph Schwartz [aut], Nathalie Moise [aut], Roderick Little [aut], Robert McCulloch [ctb], Rodney Sparapani [ctb], Charles Spanbauer [ctb], Robert Gramacy [ctb], Jean-Sebastien Roy [ctb]
Maintainer: Jungang Zou <jungang.zou@gmail.com>
Description: Provides a suite of Propensity Score Predictive Inference (PSPI) methods to generalize treatment effects in trials to target populations. The package includes an existing model Bayesian Causal Forest (BCF) and four PSPI models (BCF-PS, FullBART, SplineBART, DSplineBART). These methods leverage Bayesian Additive Regression Trees (BART) to adjust for high-dimensional covariates and nonlinear associations, while SplineBART and DSplineBART further use propensity score based splines to address covariate shift between trial data and target population.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, arm, dplyr, mvtnorm, stringr, stats, nnet, methods
LinkingTo: Rcpp, RcppArmadillo, RcppDist, RcppProgress, pg
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, mitml
NeedsCompilation: yes
Packaged: 2025-11-24 21:25:55 UTC; jz3183
Repository: CRAN
Date/Publication: 2025-12-01 13:50:05 UTC

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New package convergenceDFM with initial version 0.1.4
Package: convergenceDFM
Title: Convergence and Dynamic Factor Models
Version: 0.1.4
Description: Tests convergence in macro-financial panels combining Dynamic Factor Models (DFM) and mean-reverting Ornstein-Uhlenbeck (OU) processes. Provides: (i) static/approximate DFMs for large panels with VAR/VECM stability checks, Portmanteau tests and rolling out-of-sample R^2, following Stock and Watson (2002) <doi:10.1198/073500102317351921> and the Generalized Dynamic Factor Model of Forni, Hallin, Lippi and Reichlin (2000) <doi:10.1162/003465300559037>; (ii) cointegration analysis à la Johansen (1988) <doi:10.1016/0165-1889(88)90041-3>; (iii) OU-based convergence and half-life summaries grounded in Uhlenbeck and Ornstein (1930) <doi:10.1103/PhysRev.36.823> and Vasicek (1977) <doi:10.1016/0304-405X(77)90016-2>; (iv) robust inference via 'sandwich' HC/HAC estimators (Zeileis (2004) <doi:10.18637/jss.v011.i10>) and regression diagnostics ('lmtest'); and (v) optional PLS-based factor preselection (Mevik and Wehrens (2007) <doi:10.18637/jss.v018.i02>). [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, methods, pls, vars, urca, readxl, dplyr, tidyr, stringr, magrittr, zoo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, cmdstanr, posterior, rstan
Additional_repositories: https://mc-stan.org/r-packages/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-24 17:07:32 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadorenabi@pm.me>
Repository: CRAN
Date/Publication: 2025-12-01 13:40:07 UTC

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New package barry with initial version 0.2.1
Package: barry
Title: Your Go-to Motif Accountant
Version: 0.2.1
Depends: R (>= 4.1.0)
Description: Provides the 'C++' header-only library 'barry' for use in R packages. 'barry' is a 'C++' template library for counting sufficient statistics on binary arrays and building discrete exponential-family models. It provides tools for sparse arrays, user-defined count statistics, support set constraints, power set generation, and includes modules for Discrete Exponential Family Models (DEFMs) and network statistics. By placing these headers in this package, we offer an efficient distribution system for CRAN as replication of this code in the sources of other packages is avoided. This package follows the same approach as the 'BH' package which provides 'Boost' headers for R packages.
URL: https://github.com/USCbiostats/barryr, https://uscbiostats.github.io/barryr/
BugReports: https://github.com/USCbiostats/barryr/issues
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-24 20:51:09 UTC; runner
Author: George Vega Yon [aut, cre]
Maintainer: George Vega Yon <g.vegayon@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-01 13:50:02 UTC

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Thu, 27 Nov 2025

New package marsrad with initial version 1.0.0
Package: marsrad
Title: Mars Solar Radiation
Version: 1.0.0
Description: A set of functions to calculate solar irradiance and insolation on Mars horizontal and inclined surfaces. Based on NASA Technical Memoranda 102299, 103623, 105216, 106321, and 106700, i.e. the canonical Mars solar radiation papers.
License: GPL-3
URL: https://georges.fyi/marsrad/, https://github.com/georgeslabreche/marsrad
BugReports: https://github.com/georgeslabreche/marsrad/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: stats
Suggests: testthat, covr, DT, htmltools
NeedsCompilation: no
Packaged: 2025-11-24 05:33:29 UTC; georgeslabreche
Author: Georges Labreche [aut, cre]
Maintainer: Georges Labreche <georges@tanagraspace.com>
Repository: CRAN
Date/Publication: 2025-11-27 19:10:07 UTC

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New package grasps with initial version 0.1.0
Package: grasps
Title: Groupwise Regularized Adaptive Sparse Precision Solution
Version: 0.1.0
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>
Description: Provides a unified framework for sparse-group regularization and precision matrix estimation in Gaussian graphical models. It implements multiple sparse-group penalties, including sparse-group lasso, sparse-group adaptive lasso, sparse-group SCAD, and sparse-group MCP, and solves them efficiently using ADMM-based optimization. The package is designed for high-dimensional network inference where both sparsity and group structure are present.
License: GPL (>= 3)
URL: https://github.com/Carol-seven/grasps, https://shiying-xiao.com/grasps/
BugReports: https://github.com/Carol-seven/grasps/issues
Encoding: UTF-8
Imports: igraph, ggforce, ggplot2, grDevices, Rcpp, Rdpack, scales
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, MASS, quarto, rmarkdown
VignetteBuilder: knitr, quarto
NeedsCompilation: yes
Packaged: 2025-11-24 04:09:47 UTC; csxiao
Author: Shiying Xiao [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-27 19:10:14 UTC

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New package glscalibrator with initial version 0.1.0
Package: glscalibrator
Title: Automated Calibration and Analysis of 'GLS' (Global Location Sensor) Data
Version: 0.1.0
Maintainer: Fabio Favoretto <favoretto.fabio@gmail.com>
Description: Provides a fully automated workflow for calibrating and analyzing light-level geolocation ('GLS') data from seabirds and other wildlife. The 'glscalibrator' package auto-discovers birds from directory structures, automatically detects calibration periods from the first days of deployment, processes multiple individuals in batch mode, and generates standardized outputs including position estimates, diagnostic plots, and quality control metrics. Implements the established threshold workflow internally, following the methods described in 'SGAT' (Wotherspoon et al. (2016) <https://github.com/SWotherspoon/SGAT>), 'GeoLight' (Lisovski et al. (2012) <doi:10.1111/j.2041-210X.2012.00185.x>), and 'TwGeos' (Lisovski et al. (2019) <https://github.com/slisovski/TwGeos>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: magrittr, maps, dplyr, lubridate, stringr, utils, grDevices, graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/fabbiologia/glscalibrator
BugReports: https://github.com/fabbiologia/glscalibrator/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-24 15:28:27 UTC; aburtolab
Author: Fabio Favoretto [aut, cre] , Cecilia Soldatini [aut]
Repository: CRAN
Date/Publication: 2025-11-27 19:50:02 UTC

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New package FactEff with initial version 1.0
Package: FactEff
Version: 1.0
Date: 2025-11-24
Title: Efficiencies of Block Designs for Factorial and Fractional Factorial Experiments
Author: Sukanta Dash [aut], Baidya Nath Mandal [aut, cre], Anil Kumar [aut]
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>
Depends: R (>= 4.5.0)
Imports: shiny, MASS, Matrix, htmltools
Description: Opens a 'shiny' app which supports theoretical and computational analysis of block designs for symmetrical and mixed level factorial experiments. This package includes tools to check whether a design has orthogonal factorial structure (OFS) with balance or not and is able to find the orthogonality deviation value if not having OFS. This package includes function to evaluate efficiency factor of all factorial effects in two situations, in the first situation if the design is verified with OFS and balance then calculate the efficiencies of all factorial effects using a specific analytical procedure and in the second situation if the design is verified with non-OFS and balance then a new general method has been developed and used to calculate efficiencies under the condition that the design should be proper and equi-replicated, See Gupta, S.C. and Mukerjee, R. (1987): "A Calculus for factorial arrangements". Lecture Notes in Statistics. No. 59, Springer-Verlag, Berlin, New York, <do [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-24 07:13:26 UTC; user17
Repository: CRAN
Date/Publication: 2025-11-27 19:10:20 UTC

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