Wed, 09 Sep 2026

New package winning with initial version 0.3.0
Package: winning
Title: Contest Win Probabilities and Ability Calibration
Version: 0.3.0
Description: Solves the horse race problem in both directions. Infers relative ability from win probabilities (or betting dividends) for contests whose entrants share a common performance distribution, with dead heats handled exactly, by the lattice fixed-point algorithm of Cotton (2021) <doi:10.1137/19M1276261>. Also computes all N win probabilities of a factor-structured Gaussian race (multinomial probit with low-rank-plus-diagonal covariance) in one shared-lattice pass of O(Q*N*L) operations, and inverts observed shares to abilities by a damped Newton method with analytic slopes. A dependency-free base-R port of the reference python package 'winning'. Performances are times: lowest wins.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/microprediction/winning
BugReports: https://github.com/microprediction/winning/issues
Suggests: mvtnorm, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-27 16:41:35 UTC; petercotton
Author: Peter Cotton [aut, cre]
Maintainer: Peter Cotton <peter.cotton@microprediction.com>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:02 UTC

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Package spEDM updated to version 1.13 with previous version 1.12 dated 2026-04-05

Title: Spatial Empirical Dynamic Modeling
Description: Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with methodological extensions including geographical convergent cross mapping from Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>, geographical cross mapping cardinality as introduced by Lyu et al. (2026) <doi:10.1080/13658816.2026.2687121>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>, together with geographical pattern causality proposed in Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>.
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

Diff between spEDM versions 1.12 dated 2026-04-05 and 1.13 dated 2026-09-09

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 spEDM-1.13/spEDM/R/zzz.R                              |    5 
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 spEDM-1.13/spEDM/src/CppGridUtils.cpp                 |  327 ++++++----
 spEDM-1.13/spEDM/src/CppGridUtils.h                   |   48 +
 spEDM-1.13/spEDM/src/DelayedMI.cpp                    |only
 spEDM-1.13/spEDM/src/Forecast4Grid.cpp                |   46 -
 spEDM-1.13/spEDM/src/Forecast4Grid.h                  |   26 
 spEDM-1.13/spEDM/src/GCCM4Grid.cpp                    |   16 
 spEDM-1.13/spEDM/src/GCCM4Grid.h                      |   12 
 spEDM-1.13/spEDM/src/GridExp.cpp                      |  318 ++++++++-
 spEDM-1.13/spEDM/src/LatticeExp.cpp                   |    8 
 spEDM-1.13/spEDM/src/Makevars                         |    4 
 spEDM-1.13/spEDM/src/Makevars.win                     |    4 
 spEDM-1.13/spEDM/src/RcppExports.cpp                  |  130 ++-
 spEDM-1.13/spEDM/src/SCPCM4Grid.cpp                   |   66 +-
 spEDM-1.13/spEDM/src/SCPCM4Grid.h                     |   22 
 spEDM-1.13/spEDM/src/SGC4Grid.cpp                     |   12 
 spEDM-1.13/spEDM/src/SGC4Grid.h                       |    4 
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 96 files changed, 6992 insertions(+), 6572 deletions(-)

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New package shinygenui with initial version 0.1.0
Package: shinygenui
Title: Generative UI for 'shiny'
Version: 0.1.0
Description: Build interactive user interfaces for 'shiny' applications through a conversation with a large language model (LLM). Developers choose a set of reusable components, and the model arranges and updates those components as the user describes what they need. Each component's inputs are checked before it is shown, and the model supplies data rather than executable code. Applications can also save and replay the sequence of interface changes without contacting a model. For background on generative user interfaces, see Leviathan et al. (2026) <doi:10.48550/arXiv.2604.09577>.
License: MIT + file LICENSE
URL: https://nanx.me/shinygenui/, https://github.com/nanxstats/shinygenui
BugReports: https://github.com/nanxstats/shinygenui/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: bslib, cli, ellmer (>= 0.4.0), htmltools, jsonlite, promises, R6, rlang, shiny, shinychat (>= 0.4.0), stats, utils, whisker
Suggests: DT, ggplot2, knitr, rmarkdown, shinytest2, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-28 05:07:02 UTC; nanx
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2026-09-09 16:40:02 UTC

More information about shinygenui at CRAN
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New package rvisual with initial version 0.1.1
Package: rvisual
Title: Visual Data Analysis 'RStudio' 'Addin' with AI Copilot
Version: 0.1.1
Description: An 'RStudio' 'addin' providing a visual, point-and-click interface for data manipulation and analysis, designed for users transitioning from 'SPSS' to R. Every visual action generates clean, reproducible R code using 'tidyverse' conventions ('dplyr', 'tidyr'). Includes a context-aware AI copilot supporting multiple 'LLM' providers ('OpenAI', 'Anthropic' Claude, 'Google Gemini') with built-in proxy support and privacy controls.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: shiny (>= 1.7.0), rstudioapi (>= 0.13), bslib (>= 0.5.0), htmltools, DT (>= 0.28), dplyr (>= 1.1.0), readxl (>= 1.4.0), jsonlite (>= 1.8.0), httr2 (>= 0.2.3), glue (>= 1.6.0), rlang (>= 1.1.0), DBI (>= 1.1.0), tools, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, haven, readr, writexl, RPostgres, RMySQL, ROracle, RSQLite, odbc
URL: https://github.com/facszero/rvisual
BugReports: https://github.com/facszero/rvisual/issues
NeedsCompilation: no
Packaged: 2026-08-28 14:49:25 UTC; fcanete
Author: Fernando Canete [aut, cre]
Maintainer: Fernando Canete <facs.zero@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 16:50:02 UTC

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New package NLIN with initial version 0.1.0
Package: NLIN
Title: Critical Points for Nonlinear Growth Models
Version: 0.1.0
Description: Computes analytical critical points for nonlinear growth models from known parameter values.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/helleensilvaa/NLIN
BugReports: https://github.com/helleensilvaa/NLIN/issues
NeedsCompilation: no
Packaged: 2026-08-27 18:52:35 UTC; helle
Author: Hellen Sonaly Silva Alves [aut, cre]
Maintainer: Hellen Sonaly Silva Alves <hellensilva.estat@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:07 UTC

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Package NetInt updated to version 1.0.2 with previous version 1.0.1 dated 2025-05-03

Title: Methods for Unweighted and Weighted Network Integration
Description: Implementation of network integration approaches comprising unweighted and weighted integration methods. Unweighted integration is performed considering the average, per-edge average, maximum and minimum of networks edges. Weighted integration takes into account a weight for each network during the fusion process, where the weights express the ''predictiveness strength'' of each network considering a specific predictive task. Weights can be learned using a machine learning algorithm able to associate the weights to the assessment of the accuracy of the learning algorithm trained on the network itself. The implemented methods can be applied to effectively integrate different biological networks modelling a wide range of problems in bioinformatics (e.g. disease gene prioritization, protein function prediction, drug repurposing, clinical outcome prediction).
Author: Giorgio Valentini [aut], Jessica Gliozzo [cre]
Maintainer: Jessica Gliozzo <jessica.gliozzo@gmail.com>

Diff between NetInt versions 1.0.1 dated 2025-05-03 and 1.0.2 dated 2026-09-09

 DESCRIPTION |   12 ++++++------
 MD5         |    2 +-
 2 files changed, 7 insertions(+), 7 deletions(-)

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Package hopkins updated to version 1.2 with previous version 1.1 dated 2023-08-20

Title: Calculate Hopkins Statistic for Clustering
Description: Calculate Hopkins statistic to assess the clusterability of data. See Wright (2023) <doi:10.32614/RJ-2022-055>.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

Diff between hopkins versions 1.1 dated 2023-08-20 and 1.2 dated 2026-09-09

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New package HDElliptical with initial version 0.1.2
Package: HDElliptical
Title: High-Dimensional Methods for Elliptically Symmetric Distributions
Version: 0.1.2
Description: Fast, documented implementations of robust estimation, testing, dimension reduction, classification, and clustering methods for high-dimensional elliptically symmetric data. Computational kernels use 'Rcpp' and 'RcppArmadillo'. The package follows methods reviewed in Feng (2026), "High-Dimensional Data Analysis for Elliptically Symmetric Distributions" <https://github.com/flnankai/HDElliptical/releases>.
License: MIT + file LICENSE
URL: https://github.com/flnankai/HDElliptical
BugReports: https://github.com/flnankai/HDElliptical/issues
Depends: R (>= 4.2.0)
Imports: mvtnorm, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: C++17
Packaged: 2026-08-27 14:42:59 UTC; flnankai
Author: Long Feng [aut, cre, cph] , Dan Zhuang [ctb]
Maintainer: Long Feng <flnankai@nankai.edu.cn>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:14 UTC

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New package datacaged with initial version 0.2.1
Package: datacaged
Title: CAGED Microdata Download and Storage in 'DuckDB'
Version: 0.2.1
Description: Tools to download, parse, and store Brazilian CAGED (Cadastro Geral de Empregados e Desempregados) microdata using 'DuckDB'. Supports both legacy CAGED (pre-2020), Novo CAGED (2020+), and adjustment files, enabling efficient local storage and analysis workflows. Data is sourced from the HuggingFace repository <https://huggingface.co/datasets/alexsandroprado/caged>.
SystemRequirements: 7-Zip (optional, required for PPMd-compressed files from CAGED antigo and CAGED Ajustes)
Depends: R (>= 4.2.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
Date: 2026-08-26
Imports: archive, cli, DBI, dplyr, duckdb, future, furrr, glue, httr2 (>= 1.0.0), progressr, purrr, readr (>= 2.1.0), stringr, tibble, tools, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dbplyr
VignetteBuilder: knitr
URL: https://github.com/gecomt/datacaged
BugReports: https://github.com/gecomt/datacaged/issues
NeedsCompilation: no
Packaged: 2026-08-27 21:57:03 UTC; alexsandro
Author: Alexsandro Prado [aut, cre]
Maintainer: Alexsandro Prado <alexsandro.prado@ufersa.edu.br>
Repository: CRAN
Date/Publication: 2026-09-09 16:40:07 UTC

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Package btw updated to version 1.5.0 with previous version 1.4.0 dated 2026-08-05

Title: A Toolkit for Connecting R and Large Language Models
Description: A complete toolkit for connecting 'R' environments with Large Language Models (LLMs). Provides utilities for describing 'R' objects, package documentation, and workspace state in plain text formats optimized for LLM consumption. Supports multiple workflows: interactive copy-paste to external chat interfaces, programmatic tool registration with 'ellmer' chat clients, batteries-included chat applications via 'shinychat', and exposure to external coding agents through the Model Context Protocol. Project configuration files enable stable, repeatable conversations with project-specific context and preferred LLM settings.
Author: Garrick Aden-Buie [aut, cre] , Simon Couch [aut] , Joe Cheng [aut], Posit Software, PBC [cph, fnd], Google [cph] , Microsoft [cph] , Jamie Perkins [cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

Diff between btw versions 1.4.0 dated 2026-08-05 and 1.5.0 dated 2026-09-09

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 tests/testthat/test-btw_this.R                         |   39 
 tests/testthat/test-cli.R                              |  195 ++
 tests/testthat/test-deprecated.R                       |    2 
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 tests/testthat/test-tool-cran.R                        |  135 ++
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 tests/testthat/test-utils-md.R                         |   35 
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 86 files changed, 3104 insertions(+), 1779 deletions(-)

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New package BOLDNODE with initial version 1.0.0
Package: BOLDNODE
Title: Search and Explore BOLD Data Packages Efficiently
Version: 1.0.0
Description: Provides efficient tools for exploring and transforming the Barcode of Life Data Systems (BOLD) data packages on local machines. It enables fast local querying of the data packages without relying on live API calls. Results can be easily converted into formats compatible with widely used R packages and third party tools.
License: CC BY 4.0
Encoding: UTF-8
Imports: data.table, DBI, dbplyr, dplyr, duckdb, progressr, rlang, sf, tidyr
Suggests: ape, Biostrings, BiocManager, knitr, rmarkdown, DT, ggplot2, ggrepel, maps, muscle, pak, phangorn, tibble, vegan
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 19:13:48 UTC; sameerpadhye
Author: Sameer Padhye [aut, cre], Spencer K. Monckton [aut], Dirk Steinke [ctb], Jireh Agda [ctb], Teresita M. Porter [ctb]
Maintainer: Sameer Padhye <spadhye@uoguelph.ca>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:31 UTC

More information about BOLDNODE at CRAN
Permanent link

New package xaci with initial version 0.1.0
Package: xaci
Title: Actuarial Climate Index
Version: 0.1.0
Description: Computes the Actuarial Climate Index (ACI) and its components (temperature, precipitation, drought, wind, sea level) from gridded climate data ('NetCDF') and tide gauge records. Implements the methodology described in Garrido, Milhaud & Olympio (2025) <https://hal.science/hal-04491982v2> for a French/European actuarial climate index, building on the American Academy of Actuaries framework, to any country in the world.
License: MIT + file LICENSE
URL: https://github.com/XavierMilhaud/xaci
BugReports: https://github.com/XavierMilhaud/xaci/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ncdf4 (>= 1.19), dplyr (>= 1.1), zoo (>= 1.8), readr (>= 2.1), ggplot2 (>= 3.4.0), tidyr, sf, rnaturalearth, geodata, terra, units, parallel
Suggests: testthat (>= 3.0.0), patchwork (>= 1.1.0), ecmwfr (>= 2.0.0), rnaturalearthdata, gganimate, gifski, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-13 12:09:40 UTC; XM
Author: Xavier Milhaud [aut, cre, ctb], Dabakh Kane [ctb], Esteban Mauboussin [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 15:20:02 UTC

More information about xaci at CRAN
Permanent link

New package tulpa with initial version 0.2.0
Package: tulpa
Title: Template Unified Latent Process Architecture for Bayesian Hierarchical Models
Version: 0.2.0
Description: A general-purpose engine for fitting Bayesian hierarchical models with spatial fields, temporal effects, spatially varying coefficients, and multiple inference backends. Scalable spatial structure includes Hilbert space approximate Gaussian processes (HSGP; Riutort-Mayol et al. 2023 <doi:10.1007/s11222-022-10167-2>), nearest-neighbor Gaussian processes (NNGP; Datta et al. 2016 <doi:10.1080/01621459.2015.1044091>), intrinsic conditional autoregressive models (ICAR; Besag, York, and Mollie 1991 <doi:10.1007/BF00116466>), the reparameterized Besag-York-Mollie model (BYM2; Riebler et al. 2016 <doi:10.1177/0962280216660421>), and stochastic partial differential equation fields (SPDE; Lindgren, Rue, and Lindstrom 2011 <doi:10.1111/j.1467-9868.2011.00777.x>). Temporal structure covers random walks, autoregressive processes, and Gaussian processes. Inference is tiered by correctness guarantee: exact Hamiltonian Monte Carlo with the No-U-Turn sampler, Laplace and n [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
SystemRequirements: C++17
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.12), Matrix, tulpaMesh (>= 0.1.3), generics, lifecycle, stats, tools, utils, methods, graphics, grDevices
Suggests: testthat (>= 3.0.0), bayesplot, ggplot2, sf, terra, knitr, rmarkdown, posterior (>= 1.5.0), loo (>= 2.7.0), rstantools, lme4, nlme, lmtest, numDeriv, spdep, MASS, betareg, glmmTMB, pscl, tweedie, fmesher, patchwork, stars, statmod, withr
LinkingTo: Rcpp, RcppEigen, Matrix
VignetteBuilder: knitr
URL: https://github.com/gcol33/tulpa, https://gillescolling.com/tulpa/
BugReports: https://github.com/gcol33/tulpa/issues
NeedsCompilation: yes
Packaged: 2026-08-27 23:30:17 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph] , Frances Y. Kuo [ctb, cph] , Stephen Joe [ctb, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 15:30:02 UTC

More information about tulpa at CRAN
Permanent link

New package SpatMix with initial version 0.1.0
Package: SpatMix
Title: Spatial Mixture Models for Clustering
Version: 0.1.0
Description: Fits spatial mixture models, including spatial Gaussian mixtures and mixtures of spatial factor analyzers, to complete or incomplete data. Spatial decay can be represented by monotone I-splines or a normalized sigmoid. Missing entries are handled using a built-in partial expectation-maximization procedure for matrix-variate data. The spatial covariance and spatial factor analyzer models are described in Lu and colleagues (2026a) "Spatial Covariance Constraints for Gaussian Mixture Models" <doi:10.48550/arXiv.2601.07979> and Lu and colleagues (2026b) "Mixtures of spatial factor analyzers for tensor-variate data" <doi:10.48550/arXiv.2607.07887>.
License: MIT + file LICENSE
URL: https://github.com/LHZMix/SpatMix
BugReports: https://github.com/LHZMix/SpatMix/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: MASS, matrixStats, Rcpp, splines2, stats, withr
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-08-27 23:20:46 UTC; Hanzhang
Author: Hanzhang Lu [aut, cre], Jeffrey L. Andrews [aut, ths]
Maintainer: Hanzhang Lu <hanzhang.lu@ubc.ca>
Repository: CRAN
Date/Publication: 2026-09-09 15:30:19 UTC

More information about SpatMix at CRAN
Permanent link

Package rwetools updated to version 0.5.0 with previous version 0.4.0 dated 2026-08-01

Title: Estimating Propensity Scores (PS), PS-Based Weights, and Effects
Description: Toolbox that provides a streamlined, end-to-end workflow for propensity score analysis in generating real-world evidence from real-world data. The package covers the full analytic pipeline - from estimating propensity scores via logistic regression, to calculating weights or creating a matched cohort, to generating publication-ready Table 1s with standardized mean differences and weighted balance diagnostics. It also estimates incidence rates, rate differences and rate ratios, hazard ratios, risks, risk ratios, and risk differences, including competing-risk methods and optionally stratified hazard models. Many functions can write formatted 'Excel' reports with method documentation, making results immediately shareable with collaborators and stakeholders. Methods are based on Rosenbaum and Rubin (1983) <doi:10.1093/biomet/70.1.41>, Austin (2011) <doi:10.1080/00273171.2011.568786>, and Desai et al. (2017) <doi:10.1097/EDE.0000000000000595>.
Author: Hanseul Cho [aut, cre], Georg Hahn [aut], Janinne Ortega-Montiel [aut], Julie Paik [aut], Elisabetta Patorno [aut]
Maintainer: Hanseul Cho <hanseul0618@gmail.com>

Diff between rwetools versions 0.4.0 dated 2026-08-01 and 0.5.0 dated 2026-09-09

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Package RKorAPClient updated to version 1.4.0 with previous version 1.3.0 dated 2026-08-31

Title: 'KorAP' Web Service Client Package
Description: A client package that makes the 'KorAP' web service API accessible from R. The corpus analysis platform 'KorAP' has been developed as a scientific tool to make potentially large, stratified and multiply annotated corpora, such as the 'German Reference Corpus DeReKo' or the 'Corpus of the Contemporary Romanian Language CoRoLa', accessible for linguists to let them verify hypotheses and to find interesting patterns in real language use. The 'RKorAPClient' package provides access to 'KorAP' and the corpora behind it for user-created R code, as a programmatic alternative to the 'KorAP' web user-interface. You can learn more about 'KorAP' and use it directly on 'DeReKo' at <https://korap.ids-mannheim.de/>.
Author: Marc Kupietz [aut, cre], Nils Diewald [ctb], Leibniz Institute for the German Language [cph, fnd]
Maintainer: Marc Kupietz <kupietz@ids-mannheim.de>

Diff between RKorAPClient versions 1.3.0 dated 2026-08-31 and 1.4.0 dated 2026-09-09

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Package mRpostman updated to version 3.0.0 with previous version 1.4.0 dated 2026-07-28

Title: An IMAP Client for R
Description: A session-based IMAP client that implements the full command sets of the IMAP4rev2 (RFC 9051) and IMAP4rev1 (RFC 3501) protocols, along with the optional extensions registered with the Internet Assigned Numbers Authority, allowing virtually all e-mail operations to be performed from within R, paving the way for e-mail data analysis.
Author: Allan Quadros [aut, cre] , Paul Smith [ctb], Kurt Hornik [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package hdMTD updated to version 0.1.5 with previous version 0.1.4 dated 2025-12-18

Title: Inference for High-Dimensional Mixture Transition Distribution Models
Description: Estimates parameters in Mixture Transition Distribution (MTD) models, a class of high-order Markov chains. The set of relevant pasts (lags) is selected using either the Bayesian Information Criterion or the Forward Stepwise and Cut algorithms. Other model parameters (e.g. transition probabilities and oscillations) can be estimated via maximum likelihood estimation or the Expectation-Maximization algorithm. Additionally, 'hdMTD' includes a perfect sampling algorithm that generates samples of an MTD model from its invariant distribution. For theory, see Ost & Takahashi (2023) <http://jmlr.org/papers/v24/22-0266.html>.
Author: Maiara Gripp [aut, cre], Guilherme Ost [ths], Giulio Iacobelli [ths]
Maintainer: Maiara Gripp <maiara@dme.ufrj.br>

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Package dccmidas updated to version 0.1.3 with previous version 0.1.2 dated 2024-02-21

Title: DCC Models with GARCH and GARCH-MIDAS Specifications in the Univariate Step, RiskMetrics, Moving Covariance and Scalar and Diagonal BEKK Models
Description: Estimates a variety of Dynamic Conditional Correlation (DCC) models. More in detail, the 'dccmidas' package allows the estimation of the corrected DCC (cDCC) of Aielli (2013) <doi:10.1080/07350015.2013.771027>, the DCC-MIDAS of Colacito et al. (2011) <doi:10.1016/j.jeconom.2011.02.013>, the Asymmetric DCC of Cappiello et al. <doi:10.1093/jjfinec/nbl005>, and the Dynamic Equicorrelation (DECO) of Engle and Kelly (2012) <doi:10.1080/07350015.2011.652048>. 'dccmidas' offers the possibility of including standard GARCH <doi:10.1016/0304-4076(86)90063-1>, GARCH-MIDAS <doi:10.1162/REST_a_00300> and Double Asymmetric GARCH-MIDAS <doi:10.1016/j.econmod.2018.07.025> models in the univariate estimation. Moreover, also the scalar and diagonal BEKK <doi:10.1017/S0266466600009063> models can be estimated. Finally, the package calculates also the var-cov matrix under two non-parametric models: the Moving Covariance and the RiskMetrics specifications.
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <vcandila@unisa.it>

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Package wishmom updated to version 1.2.0 with previous version 1.1.0 dated 2024-08-27

Title: Compute Moments Related to Beta-Wishart and Inverse Beta-Wishart Distributions
Description: Provides functions for computing moments and coefficients related to the Beta-Wishart and Inverse Beta-Wishart distributions. It includes functions for calculating the expectation of matrix-valued functions of the Beta-Wishart distribution, coefficient matrices C_k and H_k, expectation of matrix-valued functions of the inverse Beta-Wishart distribution, and coefficient matrices \tilde{C}_k and \tilde{H}_k. For more details, refer Hillier and Kan (2024) <https://www-2.rotman.utoronto.ca/~kan/papers/wishmom.pdf>, "On the Expectations of Equivariant Matrix-valued Functions of Wishart and Inverse Wishart Matrices".
Author: Raymond Kan [aut, cre], Preston Liang [aut]
Maintainer: Raymond Kan <raymond.kan@rotman.utoronto.ca>

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Package shrinkGPR updated to version 2.1.0 with previous version 2.0.0 dated 2026-03-30

Title: Scalable Gaussian Process Regression with Hierarchical Shrinkage Priors
Description: Efficient variational inference methods for fully Bayesian univariate and multivariate Gaussian and t-process regression models. Hierarchical shrinkage priors, including the triple gamma prior, are used for effective variable selection and covariance shrinkage in high-dimensional settings. The package leverages normalizing flows to approximate complex posterior distributions. For details on implementation, see Knaus (2025) <doi:10.48550/arXiv.2501.13173>.
Author: Peter Knaus [aut, cre]
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>

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New package PricingBandits with initial version 2.0.0
Package: PricingBandits
Title: Multi-Armed Bandit Approaches to Pricing Experiments
Version: 2.0.0
Description: Implements multi-armed bandit approaches for pricing experiments with an unknown demand curve, as developed in Weaver, Kumar, and Jain, "Nonparametric Pricing Bandits Leveraging Informational Externalities to Learn the Demand Curve" <doi:10.1287/mksc.2022.0247>. Includes Upper Confidence Bound (UCB) and Thompson Sampling (TS) baselines, Gaussian process variants ('GP-UCB', 'GP-TS'), monotonic Gaussian process variants that constrain demand to be weakly decreasing in price, and heterogeneous-noise extensions. The willingness-to-pay distribution is fully user-specified via a vector of consumer valuations, so any demand environment can be simulated or replayed.
License: MIT + file LICENSE
URL: https://github.com/ian-weaver/PricingBandits
BugReports: https://github.com/ian-weaver/PricingBandits/issues
Encoding: UTF-8
Imports: stats, Matrix, hash, nloptr, MASS, dplyr, TruncatedNormal, R.utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 09:08:30 UTC; ithew
Author: Ian N. Weaver [aut, cre], Vineet Kumar [aut], Lalit Jain [aut]
Maintainer: Ian N. Weaver <weaver.n.ian@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-09-09 14:30:02 UTC

More information about PricingBandits at CRAN
Permanent link

Package gSeg updated to version 1.1 with previous version 1.0 dated 2020-09-24

Title: Graph-Based Change-Point Detection (g-Segmentation)
Description: Uses similarity graphs to estimate change-points and their p-values. The default data-level interface constructs a k-MST with k=floor(sqrt(N)) and reports the max-type scan. The generalized, original, and weighted scans remain available explicitly.
Author: Hao Chen [aut, cre] , Nancy R. Zhang [aut], Lynna Chu [aut], Hoseung Song [aut]
Maintainer: Hao Chen <hxchen@ucdavis.edu>

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Package goldilocks updated to version 1.0.0 with previous version 0.6.0 dated 2026-07-29

Title: Adaptive Trial Designs for Survival and Binary Endpoints
Description: Implements Goldilocks adaptive trial designs for time-to-event and fixed-time binary endpoints. Outcomes are generated with a piecewise exponential model, with conjugate Gamma priors used for predictive imputation. Final analyses may use log-rank, Cox, or restricted mean survival time tests, Bayesian piecewise-exponential inference, frequentist risk differences, or Bayesian beta-binomial inference. The method closely follows Broglio and colleagues (2014) <doi:10.1080/10543406.2014.888569> and supports simulation of design operating characteristics.
Author: Graeme L. Hickey [aut, cre] , Ying Wan [aut], Thevaa Chandereng [aut] , Becton, Dickinson and Company [cph], Tim Kacprowski [ctb]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>

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Package fitdistrBayes updated to version 0.2.3 with previous version 0.2.2 dated 2026-08-29

Title: Objective Bayesian Distribution Fitting
Description: Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors, and supports user-defined distributions and priors through an extensible model specification. Model-specific posterior propriety and moment conditions are checked before computation when registered or supplied. Exact simulation, marginalization, slice sampling, adaptive Metropolis, and user-supplied posterior samplers share a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. The reference-prior framework follows Bernardo (1979) <doi:10.1111/j.2517-6161.1979.tb01066.x>.
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>

Diff between fitdistrBayes versions 0.2.2 dated 2026-08-29 and 0.2.3 dated 2026-09-09

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New package FeNEU with initial version 3.0.2
Package: FeNEU
Title: Routines for Evaluating Forest Inventory Data
Version: 3.0.2
Date: 2026-08-27
Description: Provides a collection of routines for evaluating data from larger forest management units, typically sample inventories, but also stand-wise inventories. The idea is to support modern forest planning approaches and to be open by design to new data sources and evaluation methods. For the methodological background of forest inventories see Kangas and Maltamo (2006) "Forest Inventory: Methodology and Applications" <doi:10.1007/1-4020-4381-3>.
License: AGPL (>= 3)
Encoding: UTF-8
Imports: tibble, dplyr, purrr, rlang, Rdpack, tidyr, readr, ggplot2, tidyselect (>= 1.2.0), foreach, doSNOW, lifecycle, parallel, progressr, stringr, stringdist, sf
Depends: R (>= 4.4), ForestElementsR (>= 3.0.0)
Suggests: knitr, kableExtra, rmarkdown, tinytex, testthat (>= 3.0.0)
SystemRequirements: pandoc (>= 1.12.3) and a LaTeX distribution (e.g. TinyTeX, see ?tinytex::install_tinytex) with the booktabs, longtable, siunitx, and makecell LaTeX packages are required for the *_pdf() output functions.
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 16:15:25 UTC; casto
Author: Peter Biber [aut, cre] , Astor Torano Caicoya [aut]
Maintainer: Peter Biber <peter.biber@lwf.bayern.de>
Repository: CRAN
Date/Publication: 2026-09-09 15:00:10 UTC

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New package farmPartial with initial version 0.1.0
Package: farmPartial
Title: Tools for Farm Partial-Budget Analysis
Version: 0.1.0
Description: Provides tools for evaluating the incremental economic consequences of a proposed farm-management change using partial-budget logic. Functions organize added returns, reduced costs, added costs, and reduced returns; compare baseline and alternative budgets; calculate net changes and marginal rates of return; conduct one- and two-way sensitivity, scenario, break-even, dominance, marginal, and Monte Carlo uncertainty analyses; and convert capital changes to annual equivalents. The framework follows the approach described by the International Maize and Wheat Improvement Center (1988, ISBN: 968-6127-19-4) for farm-management, extension, and on-farm research.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 10:24:01 UTC; majum
Author: Chiranjit Mazumder [aut, cre, cph], Utkarsh Tiwari [aut, cph], Anbukkani Perumal [aut, cph]
Maintainer: Chiranjit Mazumder <chiranjit@iari.res.in>
Repository: CRAN
Date/Publication: 2026-09-09 14:40:10 UTC

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New package erplots with initial version 0.1.2
Package: erplots
Title: Model-Agnostic Exposure-Response Plots
Version: 0.1.2
Description: Provides a fluent mini-language for building exposure-response plots (model curves/ribbons, quantile-binned summaries, data strips, and grouped distribution panels) from observed data and a fitted exposure-response model. Designed to be model-agnostic: any model object that implements the er_predict() generic (and, optionally, er_simulate() and er_summary()) can be visualised.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: dplyr (>= 1.1.0), ggplot2 (>= 4.0.0), patchwork (>= 1.3.2), purrr, rlang, scales, stats, tibble, tidyselect, withr
Suggests: erglm, hexbin, knitr, MASS, mvtnorm, rmarkdown, spelling, testthat (>= 3.0.0)
URL: https://github.com/djnavarro/erplots, https://erplots.djnavarro.net/
BugReports: https://github.com/djnavarro/erplots/issues
Depends: R (>= 4.1.0)
LazyData: true
Language: en-GB
NeedsCompilation: no
Packaged: 2026-08-27 12:29:52 UTC; danielle
Author: Danielle Navarro [aut, cre]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 15:00:02 UTC

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New package ERBioR with initial version 0.9.0
Package: ERBioR
Title: Reproducible Occupational Biological Risk Assessment with the ERBio Method
Version: 0.9.0
Description: A source-traceable computational implementation of the ERBio method for occupational biological risk assessment. It provides deterministic risk calculation, versioned questionnaires, a scientifically audited regulatory biological-agent registry, workplace-level assessment, preventive planning outputs, bilingual Spanish-English functionality and reproducible reports. The software preserves a single language-neutral calculation core and keeps method-faithful components distinct from explicit computational extensions. The underlying ERBio method was developed by Aguilar-Elena and is described in Aguilar-Elena (2015) <doi:10.5281/zenodo.22107465>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils
Suggests: testthat (>= 3.0.0), shiny, DT, readxl, openxlsx
NeedsCompilation: no
Packaged: 2026-08-27 15:21:38 UTC; okashi
Author: Raul Aguilar-Elena [aut, cre] , Ana Delgado-Garcia [aut]
Maintainer: Raul Aguilar-Elena <raguilar@universidadviu.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:50:26 UTC

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New package epistandardiseR with initial version 0.0.2
Package: epistandardiseR
Title: Tools for Direct Standardisation with Confidence Intervals
Version: 0.0.2
Description: Provides tools to compute directly standardised rates using the 2013 European Standard Population for age and deprivation-standardised rates using a 10% per decile assumption. Sex standardisation uses an assumed equal proportion of both males and females. The package Includes variance estimation and 95% confidence intervals for population health applications. Functions support flexible grouping variables and age bands, enabling reproducible and automated analyses.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang, magrittr, stats, tidyr
Depends: R (>= 3.5)
URL: https://github.com/JoeBlackford/epistandardiseR
BugReports: https://github.com/JoeBlackford/epistandardiseR/issues
NeedsCompilation: no
Packaged: 2026-08-28 08:39:04 UTC; Joe.Blackford
Author: Joe Blackford [aut, cre]
Maintainer: Joe Blackford <joseph.blackford@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:40:16 UTC

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New package ducklake with initial version 0.6.0
Package: ducklake
Title: Interact with 'DuckLake' from R
Version: 0.6.0
Description: A 'tidyverse'-friendly interface to 'DuckLake' <https://ducklake.select/>, the 'DuckDB' lakehouse format. Attach versioned data lakes from R and work with them using familiar 'dplyr' verbs, with support for ACID transactions, time travel queries, snapshot audit trails, data inlining, encrypted storage, multiple catalog backends ('DuckDB', 'PostgreSQL', 'SQLite', 'MySQL'), and remote access over the 'Quack' protocol from 'DuckDB'.
License: MIT + file LICENSE
URL: https://tgerke.github.io/ducklake-r/, https://github.com/tgerke/ducklake-r
BugReports: https://github.com/tgerke/ducklake-r/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, DBI, dbplyr (>= 2.5.0), dplyr, duckdb (>= 1.5.1)
Suggests: admiral, DiagrammeR, fs, ggplot2, jsonlite, knitr, lubridate, pharmaversesdtm, purrr, rmarkdown, spelling, stringr, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-27 14:26:06 UTC; tgerke
Author: Travis Gerke [aut, cre], Stefan Linner [ctb], Javier Orraca-Deatcu [ctb]
Maintainer: Travis Gerke <travisgerke@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:50:02 UTC

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Package ccda readmission to version 1.2 with previous version 1.1.1 dated 2019-10-02

Title: Combined Cluster and Discriminant Analysis
Description: Implements the combined cluster and discriminant analysis method for finding homogeneous groups of data with known origin as described in Kovacs et. al (2014): Classification into homogeneous groups using combined cluster and discriminant analysis (CCDA). Environmental Modelling & Software. <doi:10.1016/j.envsoft.2014.01.010>.
Author: Solt Kovacs [aut], Jozsef Kovacs [aut], Peter Tanos [aut, cre]
Maintainer: Peter Tanos <tanospeter@gmail.com>

This is a re-admission after prior archival of version 1.1.1 dated 2019-10-02

Diff between ccda versions 1.1.1 dated 2019-10-02 and 1.2 dated 2026-09-09

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New package cfbseedR with initial version 0.2.0
Package: cfbseedR
Title: Simulate and Evaluate College Football Seasons
Version: 0.2.0
Description: Simulate college football seasons and compute standings, conference ranks, conference champions, and College Football Playoff (CFP) seeds. Implements the official season-scoped championship-game tiebreaker procedure of each Football Bowl Subdivision (FBS) conference and the CFP's season-keyed automatic-qualifier policies, including the 2026 formats. Seasons are simulated week by week with a pluggable results generator, and external tiebreaker inputs such as committee rankings or analytics composites can be supplied. Adapts the approach of the 'nflseedR' package by Sebastian Carl and Lee Sharpe to college football semantics.
License: MIT + file LICENSE
URL: https://cfbseedR.sportsdataverse.org, https://github.com/sportsdataverse/cfbseedR
BugReports: https://github.com/sportsdataverse/cfbseedR/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr (>= 1.1.0), furrr, future, progressr, purrr, rlang, stats, tibble, tidyr, utils
Suggests: cfbfastR, gt (>= 0.9.0), knitr, rmarkdown, scales (>= 1.2.0), testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-27 11:12:56 UTC; saiem
Author: Saiem Gilani [cre, aut, cph] , Sebastian Carl [aut] , Lee Sharpe [aut]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:50:11 UTC

More information about cfbseedR at CRAN
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Package bayestestR updated to version 0.19.0 with previous version 0.18.1 dated 2026-05-24

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Micah K. Wilson [aut] , Brenton M. Wiernik [aut] , Paul-Christian Buerkner [rev], Tristan Mahr [rev] , Henrik Singmann [ctb] , Quentin F. Gron [...truncated...]
Maintainer: Dominique Makowski <officialeasystats@gmail.com>

Diff between bayestestR versions 0.18.1 dated 2026-05-24 and 0.19.0 dated 2026-09-09

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New package apsimeval with initial version 0.1.0
Package: apsimeval
Title: Evaluation, Visualisation and Sensitivity Analysis of 'APSIM' Classic Output
Version: 0.1.0
Description: Reads Agricultural Production Systems sIMulator ('APSIM') Classic 7.x '.out' files, pairs simulated series with sparse observed measurements, and computes the goodness-of-fit statistics used in crop-model calibration and validation, including the decomposition of root mean squared error into systematic and unsystematic components. Produces publication grade figures with 'ggplot2': one-to-one scatter plots, residual and Taylor diagrams, probability of exceedance curves, multi-variable timelines with a secondary axis, and distribution plots, assembled into multi-panel figures at journal column widths in colour, greyscale or line art. Treatment structure encoded in simulation names is parsed into factor columns, and the sensitivity of an output to those factors is quantified by variance decomposition, one-at-a-time analysis or range screening. A built-in 'shiny' interface watches the output directory and refreshes incrementally as 'APSIM' regenerates its files.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), stats, utils, tools, grDevices
Suggests: patchwork, shiny, DT, bslib, yaml, readxl, multcompView, testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2026-08-27 07:30:59 UTC; root
Author: Sukamal Sarkar [aut, cre]
Maintainer: Sukamal Sarkar <sukamal.sarkar@gm.rkmvu.ac.in>
Repository: CRAN
Date/Publication: 2026-09-09 14:10:24 UTC

More information about apsimeval at CRAN
Permanent link

New package agriME with initial version 0.1.0
Package: agriME
Title: Agricultural Marketing Efficiency and Price Spread Analysis
Version: 0.1.0
Description: Provides reproducible tools for analysing agricultural marketing channels, price spread, the producer's share in the consumer price, intermediary costs and margins, and alternative indices of marketing efficiency. Implements conventional, Shepherd, and Acharya measures; validates stage-level channel accounts; compares and ranks channels; and supplies bootstrap confidence intervals, scenario sensitivity analysis, loss-adjusted margins, break-even calculations, and base-graphics methods. Methodological context is provided by Acharya and Agarwal (2021, ISBN:9789389688061) and Shepherd (2007) <https://www.fao.org/4/u8770e/u8770e00.htm>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
NeedsCompilation: no
Imports: stats
Packaged: 2026-08-27 09:23:23 UTC; majum
Author: Chiranjit Mazumder [aut, cre], Bikramjeet Ghose [aut], Pramit Pandit [aut]
Maintainer: Chiranjit Mazumder <chiranjit@iari.res.in>
Repository: CRAN
Date/Publication: 2026-09-09 14:20:08 UTC

More information about agriME at CRAN
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Package scROSHI updated to version 1.0.0.1 with previous version 1.0.0.0 dated 2023-01-10

Title: Robust Supervised Hierarchical Identification of Single Cells
Description: Identifying cell types based on expression profiles is a pillar of single cell analysis. 'scROSHI' identifies cell types based on expression profiles of single cell analysis by utilizing previously obtained cell type specific gene sets. It takes into account the hierarchical nature of cell type relationship and does not require training or annotated data. A detailed description of the method can be found at: Michael Prummer, Anne Bertolini, Lars Bosshard, Florian Barkmann, Josephine Yates, Valentina Boeva, The Tumor Profiler Consortium , Daniel Stekhoven, Franziska Singer, scROSHI: robust supervised hierarchical identification of single cells, NAR Genomics and Bioinformatics, Volume 5, Issue 2, June 2023, lqad058, <doi:10.1093/nargab/lqad058>.
Author: Lars Bosshard [aut] , Dominik Burri [aut, cre] , Michael Prummer [aut]
Maintainer: Dominik Burri <burri@nexus.ethz.ch>

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More information about scROSHI at CRAN
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Package hBayesDM updated to version 2.0.1 with previous version 2.0.0 dated 2026-09-01

Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Description: Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding (Ahn et al., 2017) <doi:10.1162/CPSY_a_00002>.
Author: Woo-Young Ahn [aut, cre], Nate Haines [aut], Lei Zhang [aut], Jinwoo Jeong [ctb], Harhim Park [ctb], Jaeyeong Yang [ctb], Jethro Lee [ctb]
Maintainer: Woo-Young Ahn <wooyoung.ahn@gmail.com>

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Package douconca updated to version 1.2.6 with previous version 1.2.5.1 dated 2026-08-24

Title: Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology
Description: Double constrained correspondence analysis (dc-CA) analyzes (multi-)trait (multi-)environment ecological data by using the 'vegan' package and native R code. Throughout the two step algorithm of ter Braak et al. (2018) is used. This algorithm combines and extends community- (sample-) and species-level analyses, i.e. the usual community weighted means (CWM)-based regression analysis and the species-level analysis of species-niche centroids (SNC)-based regression analysis. The two steps use canonical correspondence analysis to regress the abundance data on to the traits and (weighted) redundancy analysis to regress the CWM of the orthonormalized traits on to the environmental predictors. The function dc_CA() has an option to divide the abundance data of a site by the site total, giving equal site weights. This division has the advantage that the multivariate analysis corresponds with an unweighted (multi-trait) community-level analysis, instead of being weighted. The first step of the al [...truncated...]
Author: Cajo J.F ter Braak [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between douconca versions 1.2.5.1 dated 2026-08-24 and 1.2.6 dated 2026-09-09

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Package ciftiTools updated to version 0.21.1 with previous version 0.19.0 dated 2026-03-19

Title: Tools for Reading, Writing, Viewing and Manipulating CIFTI Files
Description: CIFTI files contain brain imaging data in "grayordinates," which represent the gray matter as cortical surface vertices (left and right) and subcortical voxels (cerebellum, basal ganglia, and other deep gray matter). 'ciftiTools' provides a unified environment for reading, writing, visualizing and manipulating CIFTI-format data. It supports the "dscalar," "dlabel," and "dtseries" intents. Grayordinate data is read in as a "xifti" object, which is structured for convenient access to the data and metadata, and includes support for surface geometry files to enable spatially-dependent functionality such as static or interactive visualizations and smoothing.
Author: Amanda Mejia [aut, cre] , Damon Pham [aut] , John Muschelli [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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Package vectra updated to version 0.12.0 with previous version 0.11.8 dated 2026-07-30

Title: Columnar Query Engine for Larger-than-RAM Data
Description: A minimal columnar query engine with lazy execution on datasets larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(), group_by(), summarise(), joins, window functions) and common aggregations (n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a pure C11 pull-based execution engine and a custom on-disk format ('.vtr'). Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a tiled raster format ('.vec') with overview pyramids and time cubes for larger-than-RAM raster data. Streams vector operations (spatial transforms, point-in-polygon and nearest-feature joins including a two-sided grid-partitioned join, select-by-location, clip, erase, dissolve, 'rasterization', 'polygonization', and contouring) through 'sf', and runs raster operations (zonal statistics, focal windows, terrain derivatives, resample or 'reproject' warp, polygon masking, map algebra, and 'mosaicking') in native C or over the tiled '.vec' format, one batch or tile at [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between vectra versions 0.11.8 dated 2026-07-30 and 0.12.0 dated 2026-09-09

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New package uroscores with initial version 0.1.0
Package: uroscores
Title: Scoring Tools for Urology and Pelvic Health Research Instruments
Version: 0.1.0
Description: Scores standardized patient-reported instruments used in urology and pelvic health research, including the International Prostate Symptom Score (Barry et al., 1992), the Overactive Bladder Symptom Score (Homma et al., 2006) <doi:10.1016/j.urology.2006.02.042>, the O'Leary-Sant interstitial cystitis indices, the short forms of the Urogenital Distress Inventory and the Incontinence Impact Questionnaire (Uebersax et al., 1995) <doi:10.1002/nau.1930140206>, the Sandvik incontinence severity index, and the Benign Prostatic Hyperplasia Impact Index. Instruments are declarative definitions read by a single scoring engine. Responses are checked against the permitted value set of each item, missing items follow the published rule for the instrument or return NA when none was published, severity bands are assigned by membership, and published minimal important difference statistics are included for responder analyses.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/faizamirullah/uroscores
BugReports: https://github.com/faizamirullah/uroscores/issues
NeedsCompilation: no
Packaged: 2026-08-26 15:49:42 UTC; root
Author: Muhammad Faiz Amirullah Nurhadi [aut, cre]
Maintainer: Muhammad Faiz Amirullah Nurhadi <faizamirullah@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 13:00:02 UTC

More information about uroscores at CRAN
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Package RcppXts updated to version 0.0.7 with previous version 0.0.6 dated 2022-11-01

Title: Interface the 'xts' API via 'Rcpp'
Description: Access to some of the C level functions of the 'xts' package. In its current state, the package is mostly a proof-of-concept to support adding useful functions, and does not yet add any of its own.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppXts versions 0.0.6 dated 2022-11-01 and 0.0.7 dated 2026-09-09

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Package R.matlab updated to version 3.8.0 with previous version 3.7.0 dated 2022-08-25

Title: Read and Write MAT Files and Call MATLAB from Within R
Description: Methods readMat() and writeMat() for reading and writing MAT files. For users with MATLAB v6 or newer installed (either locally or on a remote host), the package also provides methods for controlling MATLAB (trademark) via R and sending and retrieving data between R and MATLAB.
Author: Henrik Bengtsson [aut, cre, cph] , Andy Jacobson [ctb] , Jason Riedy [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.matlab versions 3.7.0 dated 2022-08-25 and 3.8.0 dated 2026-09-09

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Package prinsurf updated to version 2.0 with previous version 1.0 dated 2025-03-12

Title: Principal Surface Contour Biplots
Description: Fits principal surfaces, the two-dimensional generalisation of the principal curves of Hastie and Stuetzle (1989) <doi:10.1080/01621459.1989.10478797>, and displays them as biplots in which each variable is read off the contour lines of its fitted surface coordinate function. Sample predictivity, the proportion of a sample's squared length that is reconstructed by the fitted surface, is reported as a per-sample diagnostic of how well the surface represents the data.
Author: Raeesa Ganey [aut, cre, cph]
Maintainer: Raeesa Ganey <raeesa.ganey@wits.ac.za>

Diff between prinsurf versions 1.0 dated 2025-03-12 and 2.0 dated 2026-09-09

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New package nlmixr2utils with initial version 0.3.1
Package: nlmixr2utils
Title: Shared Infrastructure for 'nlmixr2' Extension Packages
Version: 0.3.1
Description: Provides shared worker-plan helpers, covariance utilities, model reexports, equation rendering methods, and package data used by the split 'nlmixr2' extension packages, including 'nlmixr2boot', 'nlmixr2llp', 'nlmixr2scm', and 'nlmixr2sir'. These helpers give the extension packages a common canonical raw-results schema, run-cache and seeding infrastructure, and equation-printing methods so that each extension package does not need to reimplement this shared functionality separately.
Depends: R (>= 4.0)
License: GPL (>= 3)
URL: https://github.com/nlmixr2/nlmixr2utils
BugReports: https://github.com/nlmixr2/nlmixr2utils/issues
Imports: cli (>= 3.4.0), future, future.apply, jsonlite, knitr, methods, nlmixr2est (>= 5.0.0), parallel, rxode2 (>= 5.0.0)
Suggests: nlmixr2data, progressr, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-27 06:30:21 UTC; justin
Author: Justin Wilkins [aut, cre, cph] , Matthew Fidler [aut] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb], Bill Denney [aut]
Maintainer: Justin Wilkins <justin.wilkins@occams.com>
Repository: CRAN
Date/Publication: 2026-09-09 12:30:02 UTC

More information about nlmixr2utils at CRAN
Permanent link

Package irace updated to version 4.4.4 with previous version 4.4.2 dated 2026-04-23

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Author: Manuel Lopez-Ibanez [aut, cre] , Jeremie Dubois-Lacoste [aut], Leslie Perez Caceres [aut], Thomas Stuetzle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

Diff between irace versions 4.4.2 dated 2026-04-23 and 4.4.4 dated 2026-09-09

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Package comtrade updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-13

Title: Access and Analyse UN Comtrade International Trade Data
Description: Download and analyse international merchandise and services trade data from the United Nations Comtrade database <https://comtradeplus.un.org/>. Retrieve bilateral trade flows, compute trade analytics (revealed comparative advantage, trade concentration, trade balance), and convert between commodity classifications (Harmonised System 'HS', Standard International Trade Classification 'SITC', Broad Economic Categories 'BEC'). Covers 200+ reporter countries, 60+ years of goods trade data (1962-present), and services trade via Extended Balance of Payments Services ('EBOPS'). Works without registration for basic queries. A free Application Programming Interface ('API') key from <https://comtradedeveloper.un.org/> unlocks full access.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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New package CLIQUE with initial version 1.0.0
Package: CLIQUE
Title: Conditional Local Importance by Quantile Expectations
Version: 1.0.0
Description: Provides methods for interpretable machine learning with an emphasis on local feature importance estimation. The package implements the CLIQUE framework for computing observation-level importance values. Additional tools are included for visualizing multi-class partial dependence relationships across predictors and response classes.
License: GPL-3
URL: https://github.com/KelvynBladen/CLIQUE
Depends: R (>= 4.1.0)
Imports: caret, dplyr, fastDummies, future, future.apply, stats, tidyr, ggplot2, ggh4x, randomForest, rlang, pdp
Suggests: testthat (>= 3.0.0), datasets
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-27 06:45:02 UTC; kelvy
Author: Kelvyn Bladen [aut, cre] , Adele Cutler [aut], D. Richard Cutler [aut], Kevin R. Moon [aut]
Maintainer: Kelvyn Bladen <kelvyn.bladen@usu.edu>
Repository: CRAN
Date/Publication: 2026-09-09 12:40:23 UTC

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Package CAST updated to version 1.1.2 with previous version 1.1.1 dated 2026-07-15

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; L [...truncated...]
Author: Hanna Meyer [cre, aut], Carles Mila [aut], Marvin Ludwig [aut], Jan Linnenbrink [aut], Fabian Schumacher [aut], Philipp Otto [ctb], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Jakub Nowosad [ctb], Darius Goergen [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

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Package bifactory updated to version 0.6.0 with previous version 0.5.2 dated 2026-08-28

Title: (Bifactor) ESEM with Continuous (MLR) or Ordinal (WLSMV) Data
Description: Fits bifactor exploratory structural equation models (B-ESEM), together with standard exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA), for continuous and ordinal data. Continuous models use 'lavaan' native efa() blocks with robust maximum likelihood (MLR) estimation. Ordinal ESEM defaults to the 'lavaan' weighted least squares mean- and variance-adjusted (WLSMV) estimator; ordinal B-ESEM uses a custom diagonally weighted least squares (DWLS) path with polychoric correlations from 'psych', rotation-delta standard errors via 'numDeriv', and a mean- and variance-adjusted chi-square. Target, geomin, and oblimin rotations use 'GPArotation'; the bifactor ESEM approach follows Morin, Arens and Marsh (2016) <doi:10.1080/10705511.2014.961800>. Additional features include multi-group measurement invariance (configural through strict, with partial invariance), ESEM-within-CFA conversion, McDonald's omega reliability suite, and the Mehrvarz and Rouder ( [...truncated...]
Author: Leon T. De Beer [aut, cre]
Maintainer: Leon T. De Beer <leondb@gmail.com>

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Package anovapowersim updated to version 1.2.0 with previous version 1.1.0 dated 2026-05-31

Title: Simple Power Simulations for ANOVAs
Description: A-priori power simulations and power-calculations for within, between and mixed ANOVAs based on target (partial) eta-squared values. Supports complex designs with more than two factors and their interactions with a single function call.
Author: Shaheed Azaad [aut, cre]
Maintainer: Shaheed Azaad <sazaad@uni-muenster.de>

Diff between anovapowersim versions 1.1.0 dated 2026-05-31 and 1.2.0 dated 2026-09-09

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Package TwoTimeScales updated to version 1.3.1 with previous version 1.2.1 dated 2026-03-30

Title: Analysis of Event Data with Two Time Scales
Description: Analyse time to event data with two time scales by estimating a smooth hazard that varies over two time scales. If covariates are available, estimate a proportional hazards model with such a two-dimensional baseline hazard. Functions are provided to prepare the raw data for estimation, to fit the model and to plot the two-dimensional smooth hazard. Extension to a competing risks model is implemented. For details about the method please refer to Carollo et al. (2025) <doi:10.1002/sim.10297>.
Author: Angela Carollo [aut, cre, cph] , Paul H.C. Eilers [aut], Jutta Gampe [aut]
Maintainer: Angela Carollo <carollo@demogr.mpg.de>

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New package linkagg with initial version 0.1.0
Package: linkagg
Title: Linked Selection Across Aggregate Views
Version: 0.1.0
Description: Brush a row-level display and see aggregate displays fill in proportion to the rows selected, with the row-to-group mapping retained. Aggregate views such as bar charts summarise many rows into one mark, so a selection made on individual rows is resolved back through the row to group mapping to fill each mark partially. Output is an 'htmlwidget' that works inside 'shiny' or as a single self-contained HTML file with no server, so an interactive figure can be archived or shared like a static one.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils, htmlwidgets (>= 1.6.0)
Suggests: shiny (>= 1.7.0), bslib (>= 0.5.0), testthat (>= 3.0.0), htmltools, survival, pharmaverseadam
URL: https://github.com/renit12345-ship-it/linkagg
BugReports: https://github.com/renit12345-ship-it/linkagg/issues
NeedsCompilation: no
Packaged: 2026-08-21 13:26:01 UTC; kimi
Author: Renit Anthony [aut, cre], Mike Bostock [ctb, cph]
Maintainer: Renit Anthony <renit12345@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 12:00:02 UTC

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Package gamstransfer updated to version 3.0.9 with previous version 3.0.8 dated 2026-01-09

Title: A Data Interface Between 'GAMS' and R
Description: Read, analyze, modify, and write 'GAMS' (General Algebraic Modeling System) data. The main focus of 'gamstransfer' is the highly efficient transfer of data with 'GAMS' <https://www.gams.com/>, while keeping these operations as simple as possible for the user. The transfer of data usually takes place via an intermediate GDX (GAMS Data Exchange) file. Additionally, 'gamstransfer' provides utility functions to get an overview of 'GAMS' data and to check its validity.
Author: Atharv Bhosekar [aut, cre], GAMS Development Corp. [cph, fnd], GAMS Software GmbH [cph, fnd]
Maintainer: Atharv Bhosekar <abhosekar@gams.com>

Diff between gamstransfer versions 3.0.8 dated 2026-01-09 and 3.0.9 dated 2026-09-09

 gamstransfer-3.0.8/gamstransfer/src/gdx/src/rtl/p3platform.cpp             |only
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 gamstransfer-3.0.9/gamstransfer/src/gdx/src/gdlib/datastorage.cpp          |    6 
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 gamstransfer-3.0.9/gamstransfer/src/gdx/src/gdlib/dblutil.cpp              |   31 
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 gamstransfer-3.0.9/gamstransfer/src/gdx/src/gdlib/gmsdata.cpp              |    6 
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 gamstransfer-3.0.9/gamstransfer/src/gdx/src/gdlib/utils.cpp                |   46 
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 gamstransfer-3.0.9/gamstransfer/src/gdx/src/rtl/dtoaLoc.h                  |    4 
 gamstransfer-3.0.9/gamstransfer/src/gdx/src/rtl/math_p3.cpp                |  312 
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 gamstransfer-3.0.9/gamstransfer/src/gdx/src/rtl/p3io.cpp                   |  166 
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 gamstransfer-3.0.9/gamstransfer/src/gdx/src/rtl/p3process.cpp              |  545 
 gamstransfer-3.0.9/gamstransfer/src/gdx/src/rtl/p3process.hpp              |   32 
 gamstransfer-3.0.9/gamstransfer/src/gdx/src/rtl/p3utils.cpp                | 1026 -
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 gamstransfer-3.0.9/gamstransfer/src/gdx/src/rtl/system_p3.cpp              |    9 
 gamstransfer-3.0.9/gamstransfer/src/gdx/src/rtl/system_p3.hpp              |    6 
 gamstransfer-3.0.9/gamstransfer/src/gdx/src/rtl/sysutils_p3.cpp            |  491 
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 gamstransfer-3.0.9/gamstransfer/src/gdx/zlib/LICENSE                       |   44 
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 124 files changed, 17705 insertions(+), 14825 deletions(-)

More information about gamstransfer at CRAN
Permanent link

New package tidycjk with initial version 0.1.0
Package: tidycjk
Title: Tidy Tools for Chinese, Japanese and Korean Text
Version: 0.1.0
Description: A tidy toolkit for text that is written in Chinese, Japanese or Korean. Most text tooling in R assumes that words are separated by whitespace, which CJK writing does not use, so ordinary summaries of a text column either treat a sentence as one undifferentiated blob or split it into isolated characters. Word segmentation is therefore a pluggable engine that the caller names explicitly rather than a bundled dictionary, because where a word ends is a fact about a language and not about Unicode. 'tidycjk' classifies characters by Unicode block, reports which script and which language a text is written in, measures how much of a text is CJK, and turns those measurements into tibbles that slot straight into a 'tidyverse' workflow. It also measures display width in terminal columns, pads and truncates to a width rather than to a character count, and normalises fullwidth and halfwidth forms surgically -- including composing halfwidth katakana voiced marks into single code points -- without th [...truncated...]
License: GPL (>= 3)
URL: https://pursuitofdatascience.github.io/tidyckj/, https://github.com/PursuitOfDataScience/tidyckj
BugReports: https://github.com/PursuitOfDataScience/tidyckj/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.1.0), stringi, tibble, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-27 00:38:41 UTC; youzhi
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>
Repository: CRAN
Date/Publication: 2026-09-09 10:20:02 UTC

More information about tidycjk at CRAN
Permanent link

Package readoecd updated to version 0.3.4 with previous version 0.3.3 dated 2026-03-18

Title: Download and Tidy Data from the 'OECD'
Description: Provides clean, tidy access to key economic indicators published by the 'Organisation for Economic Co-operation and Development' ('OECD'), covering GDP, CPI inflation, unemployment, tax revenue, government deficit, health expenditure, education expenditure, income inequality, labour productivity, and current account balance across all 38 'OECD' member countries. Data is downloaded from the 'OECD Data Explorer' API <https://data-explorer.oecd.org> on first use and cached locally for subsequent calls. Returns tidy long-format data frames ready for analysis and visualisation.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between readoecd versions 0.3.3 dated 2026-03-18 and 0.3.4 dated 2026-09-09

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More information about readoecd at CRAN
Permanent link

Package readecb updated to version 0.1.4 with previous version 0.1.2 dated 2026-03-19

Title: Access 'European Central Bank' Data
Description: Provides clean, tidy access to statistical data published by the 'European Central Bank' ('ECB') via the 'ECB Data Portal' API <https://data.ecb.europa.eu>. Covers policy interest rates, 'EURIBOR', euro exchange rates, harmonised consumer price inflation ('HICP'), euro area yield curves, the euro short-term rate ('ESTR'), monetary aggregates (M1, M2, M3), mortgage and lending rates, GDP, unemployment, and government debt-to-GDP. Each dataset has a dedicated function that abstracts away the underlying 'SDMX' key structure, so users do not need to know series codes. A generic fetcher is also provided for direct access to any of the 'ECB' 100-plus dataflows. Data is downloaded on first use and cached locally for subsequent calls.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between readecb versions 0.1.2 dated 2026-03-19 and 0.1.4 dated 2026-09-09

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More information about readecb at CRAN
Permanent link

Package ons updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-18

Title: Download Data from the 'Office for National Statistics'
Description: Provides functions to download and tidy statistical data published by the 'Office for National Statistics' <https://www.ons.gov.uk>. Covers GDP, inflation (CPI, CPIH, RPI), unemployment, employment, wages, trade, retail sales, house prices, productivity, population, and public sector finances. Most series are fetched from the 'ONS' website using its CSV time series endpoint. House price data is sourced from 'HM Land Registry' <https://www.gov.uk/government/organisations/land-registry>. Data is cached locally between sessions.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between ons versions 0.1.3 dated 2026-03-18 and 0.1.4 dated 2026-09-09

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More information about ons at CRAN
Permanent link

Package inflateR updated to version 0.2.0 with previous version 0.1.3 dated 2026-03-04

Title: Inflation Adjustment for Historical Currency Values
Description: Convert historical monetary values into their present-day equivalents using bundled CPI (Consumer Price Index) and GDP deflator data sourced from the World Bank Development Indicators. Supports British pounds (GBP), Australian dollars (AUD), US dollars (USD), Euro (EUR), Canadian dollars (CAD), Japanese yen (JPY), Chinese yuan (CNY), Swiss francs (CHF), New Zealand dollars (NZD), Indian rupees (INR), South Korean won (KRW), Brazilian reais (BRL), and Norwegian krone (NOK). Currency codes and country names are both accepted as input.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between inflateR versions 0.1.3 dated 2026-03-04 and 0.2.0 dated 2026-09-09

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Package gsaot updated to version 1.2.0 with previous version 1.1.1 dated 2025-09-17

Title: Compute Global Sensitivity Analysis Indices Using Optimal Transport
Description: Computing Global Sensitivity Indices from given data using Optimal Transport, as defined in Borgonovo et al (2024) <doi:10.1287/mnsc.2023.01796>. You provide an input sample, an output sample, decide the algorithm, and compute the indices.
Author: Leonardo Chiani [aut, cre, cph] , Emanuele Borgonovo [rev], Elmar Plischke [rev], Massimo Tavoni [rev]
Maintainer: Leonardo Chiani <leonardo.chiani@polimi.it>

Diff between gsaot versions 1.1.1 dated 2025-09-17 and 1.2.0 dated 2026-09-09

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More information about gsaot at CRAN
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Package carbondata updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-21

Title: Access Carbon Market Data from Emissions Trading Systems and Voluntary Registries
Description: Unified access to carbon market data from compliance emissions trading systems ('EU ETS', 'UK ETS', 'RGGI', California Cap-and-Trade) and voluntary carbon markets (Verra, Gold Standard, American Carbon Registry, Climate Action Reserve, via the Berkeley Voluntary Registry Offsets Database and the 'CarbonPlan' 'OffsetsDB' API). Includes cross-market price data from the 'International Carbon Action Partnership' ('ICAP') Allowance Price Explorer <https://icapcarbonaction.com/en/ets-prices>, global carbon pricing from the World Bank Carbon Pricing Dashboard <https://carbonpricingdashboard.worldbank.org/>, and the historical 'RFF' World Carbon Pricing Database following Dolphin, Pollitt and Newbery (2020) <doi:10.1038/s41597-022-01659-x>. Data is downloaded from public sources on first use and cached locally.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between carbondata versions 0.1.0 dated 2026-04-21 and 0.2.0 dated 2026-09-09

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More information about carbondata at CRAN
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Package bigalgebra updated to version 3.1.1 with previous version 3.1.0 dated 2026-03-24

Title: 'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects
Description: Provides arithmetic functions for R matrix and 'big.matrix' objects as well as functions for QR factorization, Cholesky factorization, General eigenvalue, and Singular value decomposition (SVD). A method matrix multiplication and an arithmetic method -for matrix addition, matrix difference- allows for mixed type operation -a matrix class object and a big.matrix class object- and pure type operation for two big.matrix class objects.
Author: Frederic Bertrand [cre, aut] , Michael J. Kane [aut], Bryan Lewis [aut], John W. Emerson [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between bigalgebra versions 3.1.0 dated 2026-03-24 and 3.1.1 dated 2026-09-09

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Package aemo updated to version 0.4.2 with previous version 0.4.1 dated 2026-05-27

Title: Download Australian Energy Market Operator Data
Description: Fetch Australian Energy Market Operator (AEMO) public data from 'NEMweb' <http://nemweb.com.au> and the Market Management System Data Model (MMSDM) historical archive. Provides tidy access to 5-minute and 30-minute wholesale electricity prices, regional demand, dispatch-unit output, interconnector flows, rooftop photovoltaic generation, generator bids, predispatch forecasts, frequency control ancillary services markets, and gas market data across the National Electricity Market (NEM) regions. Data is published by AEMO under its Copyright Permissions Notice <https://www.aemo.com.au/privacy-and-legal-notices/copyright-permissions>.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package webexercises updated to version 1.2.0 with previous version 1.1.0 dated 2023-05-15

Title: Create Interactive Web Exercises
Description: Functions for easily creating interactive web exercises in 'R Markdown', 'Quarto', and package vignettes that students can use in self-guided learning.
Author: Dale Barr [aut], Lisa DeBruine [aut], Caspar J. Van Lissa [aut, cre]
Maintainer: Caspar J. Van Lissa <c.j.vanlissa@tilburguniversity.edu>

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Package vimixr updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-12

Title: Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model
Description: Collapsed Variational Inference for a Dirichlet Process (DP) mixture model with unknown covariance matrix structure and DP concentration parameter. It enables efficient clustering of high-dimensional data with significantly improved computational speed than traditional MCMC methods. The package incorporates 8 parameterisations and corresponding prior choices for the unknown covariance matrix, from which the user can choose and apply accordingly.
Author: Annesh Pal [aut, cre] , Boris Hejblum [aut]
Maintainer: Annesh Pal <sistm.soft.maintain@gmail.com>

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More information about vimixr at CRAN
Permanent link

Package readnoaa updated to version 0.2.1 with previous version 0.1.1 dated 2026-03-19

Title: Access 'NOAA' Climate and Weather Data
Description: Provides clean, tidy access to climate and weather data from the 'National Oceanic and Atmospheric Administration' ('NOAA') via the 'National Centers for Environmental Information' ('NCEI') Data Service API <https://www.ncei.noaa.gov/support/access-data-service-api-user-documentation>. Covers daily weather observations, monthly and annual summaries, and 30-year climate normals from over 100,000 stations across 180 countries. No API key is required. Dedicated functions handle the most common datasets, while a generic fetcher provides access to all 'NCEI' datasets. Station discovery functions help users find stations by location or name. Data is downloaded on first use and cached locally for subsequent calls. This package is not endorsed or certified by 'NOAA'.
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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More information about readnoaa at CRAN
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Package PxWebApiData updated to version 2.0.0 with previous version 1.9.0 dated 2026-02-02

Title: PX-Web Data by API
Description: Function to read PX-Web data into R via API. The example code reads data from the three national statistical institutes, Statistics Norway, Statistics Sweden and Statistics Finland.
Author: Oeyvind Langsrud [aut, cre], Jan Bruusgaard [aut], Solveig Bjoerkholt [ctb], Susie Jentoft [ctb], Mads Fjeld Wold [ctb]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Permanent link

Package glmMisrep updated to version 0.1.3 with previous version 0.1.2 dated 2026-08-20

Title: Generalized Linear Models Adjusting for Misrepresentation
Description: Fit Generalized Linear Models to continuous and count outcomes, as well as estimate the prevalence of misrepresentation of an important binary predictor. Misrepresentation typically arises when there is an incentive for the binary factor to be misclassified in one direction (e.g., in insurance settings where policy holders may purposely deny a risk status in order to lower the insurance premium). This is accomplished by treating a subset of the response variable as resulting from a mixture distribution. Model parameters are estimated via the Expectation Maximization algorithm and standard errors of the estimates are obtained from closed forms of the Observed Fisher Information. For an introduction to the models and the misrepresentation framework, see Xia et. al., (2023) <https://variancejournal.org/article/73151-maximum-likelihood-approaches-to-misrepresentation-models-in-glm-ratemaking-model-comparisons>.
Author: Patrick Rafael [cre, aut], Xia Michelle [aut], Rexford Akakpo [aut]
Maintainer: Patrick Rafael <pbr2608@vt.edu>

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More information about glmMisrep at CRAN
Permanent link

New package georefar with initial version 0.1.0
Package: georefar
Title: Wrapper for the Argentine 'Georef' Geocoding API
Version: 0.1.0
Description: Query the Argentine national geographic normalization service 'georef' <https://apis.datos.gob.ar/georef> from R, searching provinces, departments, municipalities, localities, settlements, census units, streets and educational institutions, normalizing addresses and performing reverse geocoding. Results are returned as data frames, and batch queries can be sent in a single request.
License: GPL-3
URL: https://github.com/datosgobar/georefar
BugReports: https://github.com/datosgobar/georefar/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: assertthat, curl, dplyr, httr2, jsonlite, purrr
Suggests: mockery, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-08-26 18:46:41 UTC; Julian
Author: Julian Echandi [aut, cre], Alen Carbajal [aut]
Maintainer: Julian Echandi <jechandi.gobar@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 09:20:02 UTC

More information about georefar at CRAN
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New package FuzzyLogit with initial version 0.1.1
Package: FuzzyLogit
Title: Fuzzy Logistic Regression
Version: 0.1.1
Description: Fits logistic regression models in which the binary response is represented by a triangular fuzzy number rather than an exact crisp label, allowing uncertainty in class membership to be encoded directly in the outcome. Model parameters are estimated using the Fuzzy Least Squares approach of Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>, following the integrated fuzzy logistic regression method of Yapici Pehlivan and Sahin (2018) <https://dergipark.org.tr/en/pub/jssa/issue/37877/437725>. Provides fitting, prediction, classification, cross-validation, and diagnostic plotting methods, along with tools for comparing model behaviour across different assumed levels of label uncertainty.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, dplyr, tidyr, ggplot2, MASS
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-26 21:38:22 UTC; LENOVO
Author: Md Faruk Hasan [aut, cre], Azizur Rahman [aut]
Maintainer: Md Faruk Hasan <md_faruk_hasan@sfu.ca>
Repository: CRAN
Date/Publication: 2026-09-09 09:40:14 UTC

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Package fred updated to version 0.3.1 with previous version 0.2.0 dated 2026-04-11

Title: Access 'Federal Reserve Economic Data'
Description: Provides clean, tidy access to economic data from the 'Federal Reserve Economic Data' ('FRED') API <https://fred.stlouisfed.org/docs/api/fred/>. 'FRED' is maintained by the 'Federal Reserve Bank of St. Louis' and contains over 800,000 time series from 118 sources covering GDP, employment, inflation, interest rates, trade, and more. Dedicated functions fetch series observations, search for series, browse categories, releases, and tags, and retrieve series metadata. Multiple series can be fetched in a single call, in long or wide format. Server-side unit transformations (percent change, log, etc.) and frequency aggregation are supported, with readable transform aliases such as 'yoy_pct' and 'log_diff'. Real-time and vintage helpers (built on 'ALFRED') return a series as it appeared on a given date, the first-release version, every revision, or a panel of selected vintages. An offline curated catalogue of around fifty popular series, NBER recession reference dates, and FOMC meeting [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Permanent link

Package scStability readmission to version 1.0.4 with previous version 1.0.3 dated 2025-06-23

Title: Measuring the Stability of Dimension Reduction and Cluster Assignment in scRNA-Seq Experiments
Description: Provides functions for evaluating the stability of low-dimensional embeddings and cluster assignments in single‑cell RNA sequencing (scRNA‑seq) datasets. Starting from a principal component analysis (PCA) object, users can generate multiple replicates of t‑Distributed Stochastic Neighbor Embedding (t‑SNE) or Uniform Manifold Approximation and Projection (UMAP) embeddings. Embedding stability is quantified by computing pairwise Kendall’s Tau correlations across replicates and summarizing the distribution of correlation coefficients. In addition to dimensionality reduction, 'scStability' assesses clustering consistency using either Louvain or Leiden algorithms and calculating the Normalized Mutual Information (NMI) between all pairs of cluster assignments. For background on UMAP and t-SNE algorithms, see McInnes et al. (2020, <doi:10.21105/joss.00861>) and van der Maaten & Hinton (2008, <https://github.com/lvdmaaten/bhtsne>), respectively.
Author: Ben Abrahams [aut, cre]
Maintainer: Ben Abrahams <benabrahams52@gmail.com>

This is a re-admission after prior archival of version 1.0.3 dated 2025-06-23

Diff between scStability versions 1.0.3 dated 2025-06-23 and 1.0.4 dated 2026-09-09

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Package hydrogeofetch updated to version 2.0.4 with previous version 2.0.2 dated 2026-08-28

Title: Hydrologic Geospatial Fabric Extraction Tool Chain
Description: Traverses and works with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'hydrogeofetch' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>. Previously published as 'nhdplusTools'.
Author: David Blodgett [aut, cre] , Mike Johnson [ctb] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package DTWUMI updated to version 1.1 with previous version 1.0 dated 2018-07-13

Title: Imputation of Multivariate Time Series Based on Dynamic Time Warping
Description: Functions to impute large gaps within multivariate time series based on Dynamic Time Warping methods. Gaps of size 1 or inferior to a defined threshold are filled using simple average and weighted moving average respectively. Larger gaps are filled using the methodology provided by Phan et al. (2017) <DOI:10.1109/MLSP.2017.8168165>: a query is built immediately before/after a gap and a moving window is used to find the most similar sequence to this query using Dynamic Time Warping. To lower the calculation time, similar sequences are pre-selected using global features. Contrary to the univariate method (package 'DTWBI'), these global features are not estimated over the sequence containing the gap(s), but a feature matrix is built to summarize general features of the whole multivariate signal. Once the most similar sequence to the query has been identified, the adjacent sequence to this window is used to fill the gap considered. This function can deal with multiple gaps over all t [...truncated...]
Author: Camille Dezecache [aut], Thi Thu Hong Phan [aut], Emilie Poisson-Caillault [aut, cre]
Maintainer: Emilie Poisson-Caillault <emilie.poisson@univ-littoral.fr>

Diff between DTWUMI versions 1.0 dated 2018-07-13 and 1.1 dated 2026-09-09

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Package DTWBI updated to version 1.2 with previous version 1.1 dated 2018-07-11

Title: Imputation of Time Series Based on Dynamic Time Warping
Description: Functions to impute large gaps within time series based on Dynamic Time Warping methods. It contains all required functions to create large missing consecutive values within time series and to fill them, according to the paper Phan et al. (2017), <DOI:10.1016/j.patrec.2017.08.019>. Performance criteria are added to compare similarity between two signals (query and reference).
Author: Camille Dezecache [aut], Thi Thu Hong Phan [aut], Emilie Poisson-Caillault [aut, cre]
Maintainer: Emilie Poisson-Caillault <emilie.poisson@univ-littoral.fr>

Diff between DTWBI versions 1.1 dated 2018-07-11 and 1.2 dated 2026-09-09

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Package climatekit updated to version 0.2.2 with previous version 0.2.0 dated 2026-05-09

Title: Unified Climate Indices for Temperature, Precipitation, and Drought
Description: Compute the standard suite of climate indices from daily weather observations. Provides the canonical 'ETCCDI' 27 (Expert Team on Climate Change Detection and Indices), the 'ET-SCI' heatwave and cold-wave families plus the Excess Heat Factor of Nairn and Fawcett (2013), and agroclimatic, drought, and human-comfort families. Drought indices ('SPI', 'SPEI') accept a choice of distribution (gamma or Pearson III for SPI; log-logistic or generalised extreme value for SPEI). Reference evapotranspiration is available via Hargreaves and the FAO-56 Penman-Monteith method (Allen et al. 1998). Percentile-based indices support the Zhang (2005) in-base bootstrap. Daily inputs are numeric vectors plus a 'Date' vector; outputs are tidy data frames. Optional gridded support via 'terra' applies any index over a 'SpatRaster' and reads 'netCDF' input. No external API calls; pairs with data packages such as 'readnoaa'. References: Alexander et al. (2006) <doi:10.1029/2005JD006290>; Zhang et al. (201 [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package birdie updated to version 0.8.0 with previous version 0.7.1 dated 2025-07-24

Title: Bayesian Instrumental Regression for Disparity Estimation
Description: Bayesian models for accurately estimating conditional distributions by race, using Bayesian Improved Surname Geocoding (BISG) probability estimates of individual race. Implements the methods described in McCartan, Fisher, Goldin, Ho and Imai (2025) <doi:10.1080/01621459.2025.2526695>.
Author: Cory McCartan [aut, cre], Kosuke Imai [ctb], Daniel Ho [ctb], Jacob Goldin [ctb], Robin Fisher [ctb], The Stan Development Team [cph]
Maintainer: Cory McCartan <mccartan@psu.edu>

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Permanent link

Package anticlust updated to version 0.8.16 with previous version 0.8.14 dated 2026-04-15

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to optimal and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), Papenberg (2024; <doi:10.1111/bmsp.12315>), Papenberg, Wang, et al. (2025; <doi:10.1016/j.crmeth.2025.101137>), Papenberg, Breuer, et al. (2025; <doi:10.1017/psy.2025.10052>), Yang et al. (202 [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb] , Hannah Hengelbrock [ctb] , Dimitry Wintermantel [ctb] ), David Buczynski [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

Diff between anticlust versions 0.8.14 dated 2026-04-15 and 0.8.16 dated 2026-09-09

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Package rurl updated to version 3.0.1 with previous version 1.2.0 dated 2026-06-19

Title: Parse, Clean, and Normalize URLs
Description: A lightweight toolkit for extracting structured information from URLs. Includes functions for parsing, normalizing protocols, extracting domains, and constructing clean URLs. Domain and public-suffix extraction is delegated to the 'pslr' package, which implements the Public Suffix List from <https://publicsuffix.org>. Punycode and IDNA encoding is handled by the 'punycoder' package.
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek@turczynski.pl>

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Package rtdists updated to version 0.12-0 with previous version 0.11-6 dated 2026-06-10

Title: Response Time Distributions
Description: Provides response time distributions (density/PDF, distribution function/CDF, quantile function, and random generation): (a) Ratcliff diffusion model (Ratcliff & McKoon, 2008, <doi:10.1162/neco.2008.12-06-420>) based on C code by Andreas and Jochen Voss, (b) linear ballistic accumulator (LBA; Brown & Heathcote, 2008, <doi:10.1016/j.cogpsych.2007.12.002>) with different distributions underlying the drift rate, and (c) racing diffusion model (RDM; Tillman, Van Zandt, & Logan, 2020, <doi:10.3758/s13423-020-01719-6>).
Author: Henrik Singmann [aut, cre] , Scott Brown [aut], Matthew Gretton [aut], Andrew Heathcote [aut], Kiante Fernandez [aut] , Andreas Voss [ctb], Jochen Voss [ctb], Andrew Terry [ctb], Trisha Van Zandt [ctb], Gabriel Tillman [ctb]
Maintainer: Henrik Singmann <singmann@gmail.com>

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Package RcppPlanc updated to version 2.0.16 with previous version 2.0.15 dated 2026-02-26

Title: Parallel Low-Rank Approximation with Nonnegativity Constraints
Description: 'Rcpp' bindings for 'PLANC', a highly parallel and extensible NMF/NTF (Non-negative Matrix/Tensor Factorization) library. Wraps algorithms described in Kannan et. al (2018) <doi:10.1109/TKDE.2017.2767592> and Eswar et. al (2021) <doi:10.1145/3432185>. Implements algorithms described in Welch et al. (2019) <doi:10.1016/j.cell.2019.05.006>, Gao et al. (2021) <doi:10.1038/s41587-021-00867-x>, and Kriebel & Welch (2022) <doi:10.1038/s41467-022-28431-4>.
Author: Andrew Robbins [aut, cre] , Yichen Wang [aut], Joshua Welch [cph] , Ramakrishnan Kannan [cph] , Conrad Sanderson [cph] , Blue Brain Project/EPFL [cph] , UT-Batelle [cph] , LibHwloc Contributors [cph]
Maintainer: Andrew Robbins <robbiand@umich.edu>

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Package nhdR updated to version 0.6.2 with previous version 0.6.1 dated 2023-08-11

Title: Tools for Working with the National Hydrography Dataset
Description: Tools for working with the National Hydrography Dataset, with functions for querying, downloading, and networking both the NHD <https://www.usgs.gov/national-hydrography> and NHDPlus <https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus> datasets.
Author: Jemma Stachelek [aut, cre]
Maintainer: Jemma Stachelek <jemma.stachelek@gmail.com>

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Package epicR updated to version 1.0.2 with previous version 1.0.1 dated 2026-03-24

Title: Evaluation Platform in Chronic Obstructive Pulmonary Disease
Description: Evaluation Platform in Chronic Obstructive Pulmonary Disease (EPIC) is a Discrete Event Simulation (DES) model that simulates health outcomes of patients with Chronic Obstructive Pulmonary Disease (COPD) based on demographics and individual-level risk factors, based on the model published in Sadatsafavi et al. (2019) <doi:10.1177/0272989X18824098>.
Author: Mohsen Sadatsafavi [aut, cph], Kate Johnson [aut, cre], Amin Adibi [aut], Kevin Yan [aut]
Maintainer: Kate Johnson <kate.johnson@ubc.ca>

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Package ebrahim.gof updated to version 2.7.0 with previous version 2.6.0 dated 2026-08-28

Title: Goodness-of-Fit and Calibration Tests for Logistic Regression
Description: Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. Around twenty-five tests spanning five decades of literature are aggregated and grouped by the departure each is built to detect: global and standardized statistics, partition tests such as Hosmer-Lemeshow, directed and covariate-space tests, smoothing and resampling tests, and calibration tests. Each is obtained from its own package where installed and attributed to its authors. The package also implements the author's own procedures for sparse data, where the Hosmer-Lemeshow test loses power: the omnibus Ebrahim-Farrington test 'ef.gof()', the directed 'edge.gof()' and its covariate-space variant 'cdef.gof()', the Cauchy-combination ensemble 'edges.gof()', 'DeepGOF-1' (a pretrained convolutional statistic whose level comes from the analyst's own parametric bootstrap rather than from the network), and 'legoft()' (a frozen-weight combination [...truncated...]
Author: Ebrahim Khaled Ebrahim [aut, cre]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

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Package colocboost updated to version 1.0.10 with previous version 1.0.9 dated 2026-06-08

Title: Multi-Context Colocalization Analysis for QTL and GWAS Studies
Description: A multi-task learning approach to variable selection regression with highly correlated predictors and sparse effects, based on frequentist statistical inference. It provides statistical evidence to identify which subsets of predictors have non-zero effects on which subsets of response variables, motivated and designed for colocalization analysis across genome-wide association studies (GWAS) and quantitative trait loci (QTL) studies. The ColocBoost model is described in Cao et. al. (2025) <doi:10.1101/2025.04.17.25326042>.
Author: Xuewei Cao [cre, aut, cph], Haochen Sun [aut, cph], Ru Feng [aut, cph], Daniel Nachun [aut, cph], Kushal Dey [aut, cph], Gao Wang [aut, cph]
Maintainer: Xuewei Cao <xc2270@cumc.columbia.edu>

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Package APCalign updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-27

Title: Resolving Plant Taxon Names Using the Australian Plant Census
Description: The process of resolving and updating taxon names is necessary when working with biodiversity data. 'APCalign' uses the Australian Plant Census (APC) and the Australian Plant Name Index (APNI) to align and update plant taxon names to current, accepted standards. 'APCalign' also supplies information about the establishment status (i.e. native or introduced) of plant taxa across different states/territories.
Author: Elizabeth Wenk [aut, cre, cph] , Daniel Falster [aut, ctb] , Will Cornwell [aut, ctb] , Fonti Kar [aut, ctb] , Carl Boettiger [ctb]
Maintainer: Elizabeth Wenk <e.wenk@unsw.edu.au>

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Package aoristic updated to version 2.0.0 with previous version 1.1.1 dated 2022-10-20

Title: Generates Aoristic Probability Distributions
Description: It can sometimes be difficult to ascertain when some events (such as property crime) occur because the victim is not present when the crime happens. As a result, police databases often record a 'start' (or 'from') date and time, and an 'end' (or 'to') date and time. The time span between these date/times can be minutes, hours, or sometimes days, hence the term 'Aoristic'. Aoristic is one of the past tenses in Greek and represents an uncertain occurrence in time. For events with a location described by either a latitude/longitude or X/Y coordinate pair, and a start and end date/time, this package generates an aoristic data frame with aoristic weighted probability values for each hour of the week, for each observation. The coordinates are not necessary for the program to calculate aoristic weights; however, they are part of this package because a spatial component has been integral to aoristic analysis from the start. Dummy coordinates can be introduced if the user only has temporal data [...truncated...]
Author: Jerry Ratcliffe [aut, cre]
Maintainer: Jerry Ratcliffe <jerryr@sas.upenn.edu>

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Package acro updated to version 1.0.0 with previous version 0.1.7 dated 2026-02-02

Title: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs
Description: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs.
Author: Jim Smith [cre, ctb] , Maha Albashir [aut, ctb], Richard John Preen [aut, ctb]
Maintainer: Jim Smith <James.Smith@uwe.ac.uk>

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Package NeuralEstimators updated to version 0.2.2 with previous version 0.2.1 dated 2026-04-28

Title: Likelihood-Free Parameter Estimation using Neural Networks
Description: An 'R' interface to the 'Julia' package 'NeuralEstimators.jl'. The package facilitates the user-friendly development of neural Bayes estimators, which are neural networks that map data to a point summary of the posterior distribution (Sainsbury-Dale et al., 2024, <doi:10.1080/00031305.2023.2249522>). These estimators are likelihood-free and amortised, in the sense that, once the neural networks are trained on simulated data, inference from observed data can be made in a fraction of the time required by conventional approaches. The package also supports amortised Bayesian or frequentist inference using neural networks that approximate the posterior or likelihood-to-evidence ratio (Zammit-Mangion et al., 2025, Sec. 3.2, 5.2, <doi:10.48550/arXiv.2404.12484>). The package accommodates any model for which simulation is feasible by allowing users to define models implicitly through simulated data.
Author: Matthew Sainsbury-Dale [aut, cre]
Maintainer: Matthew Sainsbury-Dale <msainsburydale@gmail.com>

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Package tspredit updated to version 2.0.717 with previous version 2.0.707 dated 2026-05-22

Title: Time Series Prediction with Integrated Tuning
Description: Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies. TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation. Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance. It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies. More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.
Author: Eduardo Ogasawara [aut, ths, cre] , Arthur Garcia [aut], Cristiane Gea [aut], Diego Carvalho [ctb], Diogo Santos [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Fernando Alexandrino [aut], Luciano Mello [aut], Rebecca Salles [a [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package rxode2ll updated to version 2.0.17 with previous version 2.0.16 dated 2026-07-24

Title: Log-Likelihood Functions for 'rxode2'
Description: Provides the log-likelihoods with gradients from 'stan' (Carpenter et al (2015), <doi:10.48550/arXiv.1509.07164>) needed for generalized log-likelihood estimation in 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This is split of to reduce computational burden of recompiling 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) which runs the 'nlmixr2' models during estimation.
Author: Matthew L. Fidler [aut, cre]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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Package nipals updated to version 1.2 with previous version 1.0 dated 2024-12-02

Title: Principal Components Analysis using NIPALS or Weighted EMPCA, with Gram-Schmidt Orthogonalization
Description: Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares or weighted Expectation Maximization PCA with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) <doi:10.1089/cmb.2008.0221>.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

Diff between nipals versions 1.0 dated 2024-12-02 and 1.2 dated 2026-09-09

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 16 files changed, 596 insertions(+), 490 deletions(-)

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Package ncdfgeom updated to version 1.2.3 with previous version 1.2.2 dated 2026-04-22

Title: 'NetCDF' Geometry and Time Series
Description: Tools to create time series and geometry 'NetCDF' files.
Author: David Blodgett [aut, cre], Luke Winslow [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between ncdfgeom versions 1.2.2 dated 2026-04-22 and 1.2.3 dated 2026-09-09

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 vignettes/polygon_intersection.Rmd              |   10 +-
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Package autograph updated to version 1.2.3 with previous version 1.2.2 dated 2026-08-29

Title: Automatic Plotting and Theming of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between autograph versions 1.2.2 dated 2026-08-29 and 1.2.3 dated 2026-09-09

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