Sat, 17 Jan 2026

Package blogdown updated to version 1.23 with previous version 1.22 dated 2025-10-28

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Alison Presmanes Hill [aut] , Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb] [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between blogdown versions 1.22 dated 2025-10-28 and 1.23 dated 2026-01-17

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Package MarginalMediation updated to version 0.7.3 with previous version 0.7.2 dated 2022-04-15

Title: Marginal Mediation
Description: Provides the ability to perform "Marginal Mediation"--mediation wherein the indirect and direct effects are in terms of the average marginal effects (Bartus, 2005, <https://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2005:i:3:p:309-329>). The style of the average marginal effects stems from Thomas Leeper's work on the "margins" package. This framework allows the use of categorical mediators and outcomes with little change in interpretation from the continuous mediators/outcomes. See <doi:10.13140/RG.2.2.18465.92001> for more details on the method.
Author: Tyson S Barrett [aut, cre] , Angelo Canty [ctb] , Brian D. Ripley [ctb] , Thomas Leeper [ctb]
Maintainer: Tyson S Barrett <t.barrett88@gmail.com>

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Package cosmoFns updated to version 1.1-2 with previous version 1.1-1 dated 2022-05-09

Title: Cosmological Distances, Times, Luminosities, Etc
Description: Package encapsulates standard expressions for distances, times, luminosities, and other quantities useful in observational cosmology, including molecular line observations. Currently coded for a flat universe only.
Author: Andrew Harris [aut, cre]
Maintainer: Andrew Harris <harris@astro.umd.edu>

Diff between cosmoFns versions 1.1-1 dated 2022-05-09 and 1.1-2 dated 2026-01-17

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Package watson updated to version 1.0.0 with previous version 0.6 dated 2025-02-19

Title: Fitting and Simulating Mixtures of Watson Distributions
Description: Tools for fitting and simulating mixtures of Watson distributions. The package is described in Sablica, Hornik and Leydold (2026) <doi:10.18637/jss.v115.i04>. The random sampling scheme of the package offers two sampling algorithms that are based of the results of Sablica, Hornik and Leydold (2022) <doi:10.1080/10618600.2024.2416521>. What is more, the package offers a smart tool to combine these two methods, and based on the selected parameters, it approximates the relative sampling speed for both methods and picks the faster one. In addition, the package offers a fitting function for the mixtures of Watson distribution, that uses the expectation-maximization (EM) algorithm. Special features are the possibility to use multiple variants of the E-step and M-step, sparse matrices for the data representation and state of the art methods for numerical evaluation of needed special functions using the results of Sablica and Hornik (2022) <doi:10.1090/mcom/3690> and Sablica [...truncated...]
Author: Lukas Sablica [aut, cre] , Kurt Hornik [aut] , Josef Leydold [aut] , Gerard Jungman [ctb, cph] , Brian Gough [ctb, cph]
Maintainer: Lukas Sablica <lsablica@wu.ac.at>

Diff between watson versions 0.6 dated 2025-02-19 and 1.0.0 dated 2026-01-17

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Package mathml readmission to version 1.7 with previous version 1.6 dated 2025-08-19

Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Description: Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that they can be rendered in R markdown documents and shiny apps. This package depends on R package 'rolog', which requires an installation of the 'SWI'-'Prolog' runtime either from 'swi-prolog.org' or from R package 'rswipl'.
Author: Matthias Gondan [aut, cre, cph] , Irene Alfarone [aut] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

This is a re-admission after prior archival of version 1.6 dated 2025-08-19

Diff between mathml versions 1.6 dated 2025-08-19 and 1.7 dated 2026-01-17

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Package mantar updated to version 0.2.0 with previous version 0.1.0 dated 2025-07-11

Title: Missingness Alleviation for Network Analysis
Description: Provides functionality for estimating cross-sectional network structures representing partial correlations while accounting for missing data. Networks are estimated via neighborhood selection or regularization, with model selection guided by information criteria. Missing data can be handled primarily via multiple imputation or a maximum likelihood-based approach, as demonstrated by Nehler and Schultze (2025a) <doi:10.31234/osf.io/qpj35> and Nehler and Schultze (2025b) <doi:10.1080/00273171.2025.2503833>. Deletion-based approaches are also available but play a secondary role.
Author: Kai Jannik Nehler [aut, cre]
Maintainer: Kai Jannik Nehler <nehler@psych.uni-frankfurt.de>

Diff between mantar versions 0.1.0 dated 2025-07-11 and 0.2.0 dated 2026-01-17

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Package alr4 updated to version 1.0.7 with previous version 1.0.6 dated 2018-04-20

Title: Data to Accompany Applied Linear Regression 4th Edition
Description: Datasets to Accompany S. Weisberg (2014), "Applied Linear Regression," 4th edition. Many data files in this package are included in the alr3 package as well, so only one of them should be used.
Author: Sanford Weisberg [aut, cre]
Maintainer: Sanford Weisberg <sandy@umn.edu>

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Package GeoModels updated to version 2.2.2 with previous version 2.2.1 dated 2025-11-24

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

Diff between GeoModels versions 2.2.1 dated 2025-11-24 and 2.2.2 dated 2026-01-17

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New package Westerlund with initial version 0.1.1
Package: Westerlund
Title: Panel Cointegration Tests Based on Westerlund (2007)
Version: 0.1.1
Description: Implements a functional approximation of the four panel cointegration tests developed by Westerlund (2007) <doi:10.1111/j.1468-0084.2007.00477.x>. The tests are based on structural rather than residual dynamics and allow for heterogeneity in both the long-run cointegrating relationship and the short-run dynamics. The package includes logic for automated lag and lead selection via AIC, Bartlett kernel long-run variance estimation, and a bootstrap procedure to handle cross-sectional dependence. It also includes a bootstrapping distribution visualization function for diagnostic purposes.
License: MIT + file LICENSE
URL: https://github.com/bosco-hung/WesterlundTest
BugReports: https://github.com/bosco-hung/WesterlundTest/issues
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils, scales, dplyr, ggplot2, tidyr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-12 23:42:11 UTC; boscohung
Author: Bosco Hung [aut, cre]
Maintainer: Bosco Hung <bosco.hung@st-annes.ox.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-17 20:10:09 UTC

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Package shinyfilters updated to version 0.3.0 with previous version 0.1.0 dated 2025-12-17

Title: Create 'shiny' Inputs from Vectors, 'data.frames', or any R Object
Description: Provides an interface to 'shiny' inputs used for filtering vectors, data.frames, and other objects. 'S7'-based implementation allows for seamless extensibility.
Author: Josh Livingston [cre, aut], Novica Nakov [ctb]
Maintainer: Josh Livingston <joshwlivingston@gmail.com>

Diff between shinyfilters versions 0.1.0 dated 2025-12-17 and 0.3.0 dated 2026-01-17

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New package RSTr with initial version 1.0.0
Package: RSTr
Title: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models
Version: 1.0.0
Date: 2026-01-08
Maintainer: David DeLara <sfq1@cdc.gov>
URL: https://cehi-code-repos.github.io/RSTr/
Description: Takes Poisson or Binomial discrete spatial data and runs a Gibbs sampler for a variety of Spatiotemporal Conditional Autoregressive (CAR) models. Includes measures to prevent estimate over-smoothing through a restriction of model informativeness for select models. Also provides tools to load output and get median estimates. Implements methods from Besag, York, and Mollié (1991) "Bayesian image restoration, with two applications in spatial statistics" <doi:10.1007/BF00116466>, Gelfand and Vounatsou (2003) "Proper multivariate conditional autoregressive models for spatial data analysis" <doi:10.1093/biostatistics/4.1.11>, Quick et al. (2017) "Multivariate spatiotemporal modeling of age-specific stroke mortality" <doi:10.1214/17-AOAS1068>, and Quick et al. (2021) "Evaluating the informativeness of the Besag-York-Mollié CAR model" <doi:10.1016/j.sste.2021.100420>.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp (>= 1.1.0), RcppArmadillo (>= 15.2.2.1), RcppDist (>= 0.1.1.1)
Suggests: ggplot2, knitr, rmarkdown, sf, testthat (>= 3.0.0)
Imports: abind, Rcpp (>= 1.1.0), RcppArmadillo (>= 15.2.2.1), RcppDist (>= 0.1.1.1), spdep
Depends: R (>= 4.3.0)
LazyData: true
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2026-01-13 00:49:57 UTC; dave
Author: David DeLara [aut, cre] , Centers for Disease Control and Prevention [aut, cph]
Repository: CRAN
Date/Publication: 2026-01-17 20:10:16 UTC

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Package PathwayVote updated to version 0.1.3 with previous version 0.1.2 dated 2025-10-01

Title: Robust Pathway Enrichment for DNA Methylation Studies Using Ensemble Voting
Description: Performs pathway enrichment analysis using a voting-based framework that integrates CpG–gene regulatory information from expression quantitative trait methylation (eQTM) data. For a grid of top-ranked CpGs and filtering thresholds, gene sets are generated and refined using an entropy-based pruning strategy that balances information richness, stability, and probe bias correction. In particular, gene lists dominated by genes with disproportionately high numbers of CpG mappings are penalized to mitigate active probe bias—a common artifact in methylation data analysis. Enrichment results across parameter combinations are then aggregated using a voting scheme, prioritizing pathways that are consistently recovered under diverse settings and robust to parameter perturbations.
Author: Yinan Zheng [aut, cre]
Maintainer: Yinan Zheng <y-zheng@northwestern.edu>

Diff between PathwayVote versions 0.1.2 dated 2025-10-01 and 0.1.3 dated 2026-01-17

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 MD5                              |   13 +--
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Package keyATM updated to version 0.5.5 with previous version 0.5.4 dated 2025-07-21

Title: Keyword Assisted Topic Models
Description: Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the latent dirichlet allocation (LDA) models with a small number of keywords selected by researchers in order to improve the interpretability and topic classification of the LDA. The keyATM can also incorporate covariates and directly model time trends. The keyATM is proposed in Eshima, Imai, and Sasaki (2024) <doi:10.1111/ajps.12779>.
Author: Shusei Eshima [aut, cre] , Tomoya Sasaki [aut], Kosuke Imai [aut], Chung-hong Chan [ctb] , Romain Francois [ctb] , Martin Feldkircher [ctb] , William Lowe [ctb], Seo-young Silvia Kim [ctb]
Maintainer: Shusei Eshima <shuseieshima@gmail.com>

Diff between keyATM versions 0.5.4 dated 2025-07-21 and 0.5.5 dated 2026-01-17

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New package eam with initial version 1.0.1
Package: eam
Title: Evidence Accumulation Models
Version: 1.0.1
LinkingTo: Rcpp
Imports: Rcpp, dplyr, tidyr, arrow, rlang, distributional, stats, parallel, codetools, grDevices, graphics, ggplot2, gridExtra, data.table, purrr, scales
Suggests: testthat (>= 3.0.0), pbapply, abc
Description: Simulation-based evidence accumulation models for analyzing responses and reaction times in single- and multi-response tasks. The package includes simulation engines for five representative models: the Diffusion Decision Model (DDM), Leaky Competing Accumulator (LCA), Linear Ballistic Accumulator (LBA), Racing Diffusion Model (RDM), and Levy Flight Model (LFM), and extends these frameworks to multi-response settings. The package supports user-defined functions for item-level parameterization and the incorporation of covariates, enabling flexible customization and the development of new model variants based on existing architectures. Inference is performed using simulation-based methods, including Approximate Bayesian Computation (ABC) and Amortized Bayesian Inference (ABI), which allow parameter estimation without requiring tractable likelihood functions. In addition to core inference tools, the package provides modules for parameter recovery, posterior predictive checks, and model com [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
URL: https://github.com/y-guang/eam
NeedsCompilation: yes
Packaged: 2026-01-12 22:46:13 UTC; spike
Author: Guangyu Zhu [aut] , Guang Yang [aut, cre]
Maintainer: Guang Yang <guang.spike.yang@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-17 20:10:02 UTC

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Package SPlit readmission to version 1.3 with previous version 1.2 dated 2022-03-22

Title: Split a Dataset for Training and Testing
Description: Procedure to optimally split a dataset for training and testing. 'SPlit' is based on the method of support points, which is independent of modeling methods. Please see Joseph and Vakayil (2021) <doi:10.1080/00401706.2021.1921037> for details. This work is supported by U.S. National Science Foundation grant DMREF-1921873.
Author: Akhil Vakayil [aut, cre], Roshan Joseph [aut, ths], Simon Mak [aut]
Maintainer: Akhil Vakayil <akhilv@gatech.edu>

This is a re-admission after prior archival of version 1.2 dated 2022-03-22

Diff between SPlit versions 1.2 dated 2022-03-22 and 1.3 dated 2026-01-17

 DESCRIPTION     |   10 +++++-----
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New package OpenSourceAP.DownloadR with initial version 0.1.0
Package: OpenSourceAP.DownloadR
Title: Download Open Source Asset Pricing (OpenAP) Data Directly
Version: 0.1.0
Description: Convenient download functions enabling access Open Source Asset Pricing (OpenAP) data. This package enables users to download predictor portfolio returns (over 200 cross-sectional predictors with multiple portfolio construction methods) and firm characteristics (over 200 characteristics replicated from the academic asset pricing literature). Center for Research in Security Prices (CRSP)-based variables such as Price, Size, and Short-term Reversal can be downloaded with a Wharton Research Data Services (WRDS, <https://wrds-www.wharton.upenn.edu/>) subscription. For a full list of what is available, see <https://www.openassetpricing.com/>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
Imports: httr, rvest, stringr, jsonlite, magrittr, dplyr, data.table, R6, withr, lubridate, DBI, RPostgres, getPass
NeedsCompilation: no
Packaged: 2026-01-12 16:39:12 UTC; wme889
Author: Tom Zimmermann [aut, cre] , Justus Boeker [ctb]
Maintainer: Tom Zimmermann <tom.zimmermann@uni-koeln.de>
Repository: CRAN
Date/Publication: 2026-01-17 19:50:13 UTC

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Package igoR updated to version 1.0.0 with previous version 0.2.1 dated 2024-12-17

Title: Intergovernmental Organizations Database
Description: Tools to extract information from the Intergovernmental Organizations ('IGO') Database (v3), provided by the Correlates of War Project <https://correlatesofwar.org/>. See also Pevehouse, J. C. et al. (2020) <doi:10.1177/0022343319881175>.
Author: Diego Hernangomez [aut, cre, cph] , The Correlates of War Project [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between igoR versions 0.2.1 dated 2024-12-17 and 1.0.0 dated 2026-01-17

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New package checkCLI with initial version 1.0
Package: checkCLI
Title: 'CLI' Messages for Checkmate Assertions and Checks
Version: 1.0
Description: Providing more beautiful and more meaningful return messages for checkmate assertions and checks helping users to better understand errors.
License: MIT + file LICENSE
Imports: checkmate, cli, glue, purrr, stringr
Encoding: UTF-8
Suggests: knitr, R6, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-12 20:39:35 UTC; luizesser
Author: Reginaldo Re [aut] , Luiz Fernando Esser [aut, cre, cph]
Maintainer: Luiz Fernando Esser <luizesser@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-17 20:00:02 UTC

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New package BAQM with initial version 0.1.4
Package: BAQM
Title: Babson Analytics and Quantitative Methods Tools
Version: 0.1.4
Copyright: Copyright Peter Lert, PhD, CFA
Description: Instructor-developed tools for Analytics and Quantitative Methods (AQM) courses at Babson College. Included are compact descriptive statistics for data frames and lists, expanded reporting and graphics for linear regressions, and formatted reports for best subsets analyses.
License: GPL (>= 2)
Depends: R (>= 3.5),
Suggests: leaps, shiny, testthat (>= 3.0.0), utf8, vdiffr, waldo, withr
Encoding: UTF-8
Imports: cowplot, ggplot2, ggrepel, lmtest, stats, utils
URL: https://github.com/CPA-wrk/BAQM, https://cpa-wrk.github.io/BAQM/
BugReports: https://github.com/CPA-wrk/BAQM/issues
NeedsCompilation: no
Packaged: 2026-01-12 20:03:19 UTC; peter
Author: Peter Lert [aut, cre, cph]
Maintainer: Peter Lert <plert@babson.edu>
Repository: CRAN
Date/Publication: 2026-01-17 19:50:17 UTC

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Package simulateDCE (with last version 0.3.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-07-26 0.3.1
2025-07-09 0.3.0

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Package WRSS (with last version 3.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-05-29 3.1
2019-11-11 3.0
2019-04-01 2.3
2019-02-16 2.2
2019-01-21 2.1
2018-11-05 2.0
2018-05-28 1.4
2018-05-06 1.3
2018-04-18 1.2
2018-02-18 1.1
2017-11-09 1.0

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Package baycn (with last version 1.2.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-07-31 1.2.0
2020-03-10 1.1.0
2019-10-01 1.0.0

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Package Diderot (with last version 0.13) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-04-19 0.13
2017-11-06 0.12
2017-09-03 0.11
2017-09-01 0.1

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Package DoLa (with last version 0.1.0) was removed from CRAN

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2025-05-28 0.1.0

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Package EpiILMCT (with last version 1.1.8) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-09-23 1.1.8
2021-06-29 1.1.7
2020-01-21 1.1.6
2019-12-12 1.1.5
2019-10-13 1.1.4
2019-04-17 1.1.3
2018-03-28 1.1.2
2018-03-22 1.1
2017-12-07 1.0

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Package qs (with last version 0.27.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-03-11 0.27.3
2024-10-01 0.27.2
2024-05-16 0.26.3
2024-03-08 0.26.1
2023-12-06 0.25.7
2023-11-28 0.25.6
2023-02-22 0.25.5
2022-08-09 0.25.4
2022-02-22 0.25.3
2021-12-07 0.25.2
2021-11-05 0.25.1.1
2021-07-25 0.25.1
2021-03-07 0.24.1
2021-02-08 0.23.6
2021-01-06 0.23.5
2020-11-25 0.23.4
2020-10-05 0.23.3
2020-07-16 0.23.2
2020-06-10 0.22.1
2020-03-10 0.21.2
2020-02-07 0.21.1
2019-12-02 0.20.2
2019-10-04 0.19.1
2019-08-21 0.18.3
2019-07-08 0.17.3
2019-06-25 0.17.1
2019-05-17 0.16.1
2019-04-07 0.15.1
2019-03-02 0.14.1
2019-02-13 0.13.1
2019-02-08 0.12

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Package bdc (with last version 1.1.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-12-17 1.1.5
2023-03-13 1.1.4
2022-08-18 1.1.2
2022-05-27 1.1.1

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Package QuAnTeTrack (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-05-21 0.1.0

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Package R.AlphA.Home (with last version 1.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-09-15 1.1.0
2025-02-11 1.0.0

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Package xml2 updated to version 1.5.2 with previous version 1.5.1 dated 2025-12-01

Title: Parse XML
Description: Bindings to 'libxml2' for working with XML data using a simple, consistent interface based on 'XPath' expressions. Also supports XML schema validation; for 'XSLT' transformations see the 'xslt' package.
Author: Hadley Wickham [aut], Jim Hester [aut], Jeroen Ooms [aut, cre], Posit Software, PBC [cph, fnd], R Foundation [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between xml2 versions 1.5.1 dated 2025-12-01 and 1.5.2 dated 2026-01-17

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Package rfigshare (with last version 0.3.8) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-05-10 0.3.8
2015-06-15 0.3.7
2014-08-04 0.3.6
2014-07-18 0.3.5
2014-04-29 0.3-1
2014-03-24 0.3-0
2013-02-14 0.2-6
2012-11-04 0.2

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Package revulyticsR (with last version 0.0.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-12-04 0.0.3
2020-08-25 0.0.2
2020-06-19 0.0.1

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Package TSQCA updated to version 1.1.0 with previous version 0.1.2 dated 2026-01-07

Title: Threshold Sweep Extensions for Qualitative Comparative Analysis
Description: Provides threshold sweep methods for Qualitative Comparative Analysis (QCA). Implements Condition Threshold Sweep-Single (CTS-S), Condition Threshold Sweep-Multiple (CTS-M), Outcome Threshold Sweep (OTS), and Dual Threshold Sweep (DTS) for systematic exploration of threshold calibration effects on crisp-set QCA results. These methods extend traditional robustness approaches by treating threshold variation as an exploratory tool for discovering causal structures. Built on top of the 'QCA' package by Dusa (2019) <doi:10.1007/978-3-319-75668-4>, with function arguments following 'QCA' conventions. Based on set-theoretic methods by Ragin (2008) <doi:10.7208/chicago/9780226702797.001.0001> and established robustness protocols by Rubinson et al. (2019) <doi:10.1177/00491241211036158>.
Author: Yuki Toyoda [aut, cre], Japan Society for the Promotion of Science [fnd]
Maintainer: Yuki Toyoda <yuki.toyoda.ds@hosei.ac.jp>

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Package hassediagrams updated to version 2.0 with previous version 1.1 dated 2025-08-21

Title: Hasse Diagram of the Layout Structure and Restricted Layout Structure
Description: Returns a Hasse diagram of the layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918173> or the restricted layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918174> of an experimental design.
Author: Damianos Michaelides [aut, cre], Simon Bate [aut], Marion Chatfield [aut]
Maintainer: Damianos Michaelides <dm3g15@soton.ac.uk>

Diff between hassediagrams versions 1.1 dated 2025-08-21 and 2.0 dated 2026-01-17

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Package surveydata updated to version 0.2.8 with previous version 0.2.7 dated 2023-03-12

Title: Tools to Work with Survey Data
Description: Data obtained from surveys contains information not only about the survey responses, but also the survey metadata, e.g. the original survey questions and the answer options. The 'surveydata' package makes it easy to keep track of this metadata, and to easily extract columns with specific questions.
Author: Andrie de Vries [aut, cre, cph], Evan Odell [ctb]
Maintainer: Andrie de Vries <apdevries@gmail.com>

Diff between surveydata versions 0.2.7 dated 2023-03-12 and 0.2.8 dated 2026-01-17

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 23 files changed, 232 insertions(+), 236 deletions(-)

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Package RcppQuantuccia updated to version 0.1.4 with previous version 0.1.3 dated 2025-11-24

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an updated variant of the header-only 'Quantuccia' project (put together initially by Peter Caspers) offering an essential subset of 'QuantLib' (and now maintained separately for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to both 'QuantLib' and 'Quantuccia'. Note that this package provided an initial viability proof, current work is done (via approximately quarterly releases tracking 'QuantLib') in the smaller package 'qlcal' which is generally preferred.
Author: Dirk Eddelbuettel [aut, cre] , QuantLib Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppQuantuccia versions 0.1.3 dated 2025-11-24 and 0.1.4 dated 2026-01-17

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 8 files changed, 47 insertions(+), 27 deletions(-)

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New package valdrViz with initial version 1.0.0
Package: valdrViz
Title: Visualise and Report 'VALD ForceDecks' Test Results
Version: 1.0.0
Description: Provides a 'shiny' dashboard and plotting utilities to explore and report 'VALD ForceDecks' testing data. Includes interactive modules for metric exploration, radar charts, longitudinal comparisons, quadrant plots, and athlete reports.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
Imports: shiny, bslib, readr, dplyr, ggplot2, tibble, tidyr, zoo, DT, plotly, magrittr, lubridate, RColorBrewer, pagedown, webshot2, shinycssloaders, rlang
NeedsCompilation: no
Packaged: 2026-01-12 01:58:42 UTC; KieranHarrison
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>
Repository: CRAN
Date/Publication: 2026-01-17 11:10:02 UTC

More information about valdrViz at CRAN
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New package tidyweather with initial version 0.1.0
Package: tidyweather
Title: Analysis the Weather Data for Agriculture
Version: 0.1.0
Description: Functions are collected to analyse weather data for agriculture purposes including to read weather records in multiple formats, calculate extreme climate index. Demonstration data are included the SILO daily climate data (licensed under CC BY 4.0, <https://www.longpaddock.qld.gov.au/silo/>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stringr, tibble, dplyr, settings
Suggests: testthat (>= 3.0.0)
URL: https://tidyweather.bangyou.me/, https://github.com/byzheng/tidyweather
BugReports: https://github.com/byzheng/tidyweather/issues
NeedsCompilation: no
Packaged: 2026-01-12 04:13:13 UTC; zhe00a
Author: Bangou Zheng [aut, cre]
Maintainer: Bangou Zheng <bangyou.zheng@csiro.au>
Repository: CRAN
Date/Publication: 2026-01-17 11:20:02 UTC

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New package SportMiner with initial version 0.1.0
Package: SportMiner
Title: Text Mining and Topic Modeling for Sport Science Literature
Version: 0.1.0
Description: A comprehensive toolkit for mining, analyzing, and visualizing scientific literature in sport science domains. Provides functions for retrieving abstracts from 'Scopus', preprocessing text data, performing advanced topic modeling using Latent Dirichlet Allocation ('LDA'), Structural Topic Models ('STM'), and Correlated Topic Models ('CTM'), and creating publication-ready visualizations including keyword co-occurrence networks and topic trends. For methodological details see Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993> for 'LDA', Roberts et al. (2014) <doi:10.1111/ajps.12103> for 'STM', and Blei and Lafferty (2007) <doi:10.1214/07-AOAS114> for 'CTM'.
License: MIT + file LICENSE
URL: https://github.com/praveenmaths89/SportMiner
BugReports: https://github.com/praveenmaths89/SportMiner/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: rscopus, dplyr, tidytext, topicmodels, stm, ggplot2, rlang, SnowballC, scales, textmineR, Matrix, tidyr, ggraph, igraph, widyr, magrittr, slam
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-12 08:51:13 UTC; apple
Author: Praveen D Chougale [aut, cre], Usha Ananthakumar [aut]
Maintainer: Praveen D Chougale <praveenmaths89@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-17 11:40:02 UTC

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New package rsurvstat with initial version 0.1.2
Package: rsurvstat
Title: Download Infectious Disease Data from 'SurvStat' (Robert Koch Institute)
Version: 0.1.2
Description: Provides an interface to the 'SurvStat' web service from the Robert Koch Institute (<https://tools.rki.de/SurvStat/SurvStatWebService.svc>) allowing downloads of disease time series stratified by pathogen type and subtype, age, and geography from notifiable disease reports in Germany.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, ggplot2, testthat
VignetteBuilder: knitr
Imports: dplyr, magrittr, xml2, stringr, tibble, httr, curl, whisker, fs, purrr, tidyr, cli, locfit, rlang, sf
Depends: R (>= 3.5)
LazyData: true
Language: en-GB
LazyDataCompression: xz
URL: https://bristol-vaccine-centre.github.io/rsurvstat/index.html, https://github.com/bristol-vaccine-centre/rsurvstat, https://bristol-vaccine-centre.github.io/rsurvstat/
BugReports: https://github.com/bristol-vaccine-centre/rsurvstat/issues
NeedsCompilation: no
Packaged: 2026-01-12 13:18:52 UTC; vp22681
Author: Robert Challen [aut, cre] , Bristol Vaccine Centre [fnd, cph]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-17 11:50:02 UTC

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New package RFAE with initial version 0.1.0
Package: RFAE
Title: Autoencoding Random Forests
Version: 0.1.0
Maintainer: Binh Duc Vu <vuducbinh2210@gmail.com>
Description: Autoencoding Random Forests ('RFAE') provide a method to autoencode mixed-type tabular data using Random Forests ('RF'), which involves projecting the data to a latent feature space of user-chosen dimensionality (usually a lower dimension), and then decoding the latent representations back into the input space. The encoding stage is useful for feature engineering and data visualisation tasks, akin to how principal component analysis ('PCA') is used, and the decoding stage is useful for compression and denoising tasks. At its core, 'RFAE' is a post-processing pipeline on a trained random forest model. This means that it can accept any trained RF of 'ranger' object type: 'RF', 'URF' or 'ARF'. Because of this, it inherits Random Forests' robust performance and capacity to seamlessly handle mixed-type tabular data. For more details, see Vu et al. (2025) <doi:10.48550/arXiv.2505.21441>.
License: GPL (>= 3)
URL: https://github.com/bips-hb/RFAE
BugReports: https://github.com/bips-hb/RFAE/issues
Depends: R (>= 4.4.0)
Imports: caret, data.table, foreach, Matrix, methods, mgcv, ranger, RANN, RSpectra, stats, tibble
Suggests: arf, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-12 03:28:56 UTC; k21189355
Author: Binh Duc Vu [aut, cre] , Jan Kapar [aut] , Marvin N. Wright [aut] , David S. Watson [aut]
Repository: CRAN
Date/Publication: 2026-01-17 11:20:07 UTC

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New package provolleyballr with initial version 0.1.0
Package: provolleyballr
Title: Extract Data from US Women's Professional Volleyball Websites
Version: 0.1.0
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>
Description: Tools for scraping match statistics and player data from the Athletes Unlimited (UA) website <https://auprosports.com/volleyball/>, the League One Volleyball website <https://lovb.com>, and the Major League (MLV) website <https://provolleyball.com>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: cli, curl, dplyr, janitor, lifecycle, purrr, rlang, rvest, stringr, selenider
Suggests: chromote, knitr, readr, rmarkdown, testthat (>= 3.0.0), tidyr
SystemRequirements: Google Chrome browser
URL: https://github.com/JeffreyRStevens/provolleyballr
BugReports: https://github.com/JeffreyRStevens/provolleyballr/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-12 01:56:22 UTC; jstevens
Author: Jeffrey R. Stevens [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-01-17 11:10:07 UTC

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New package lavDiag with initial version 0.1.0
Package: lavDiag
Title: Latent Variable Models Diagnostics
Version: 0.1.0
Description: Diagnostics and visualization tools for latent variable models fitted with 'lavaan' (Rosseel, 2012 <doi:10.18637/jss.v048.i02>). The package provides fast, parallel-safe factor-score prediction (lavPredict_parallel()), data augmentation with model predictions, residuals, delta-method standard errors and confidence intervals (augment()), and model-based latent grids for continuous, ordinal, or mixed indicators (prepare()). It offers item-level empirical versus model curve comparison using generalized additive models for both continuous and ordinal indicators (item_data(), item_plot()) via 'mgcv' (Wood, 2017, ISBN:9781498728331), residual diagnostics including residual correlation tables and plots (resid_cor(), resid_corrplot()) using 'corrplot' (Wei and Simko, 2021 <https://github.com/taiyun/corrplot>), and Q–Q checks of residual z-statistics (resid_qq()), optionally with non-overlapping labels from 'ggrepel' (Slowikowski, 2024 <https://CRAN.R-project.org/package=ggrepel& [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/reckak/lavDiag
BugReports: https://github.com/reckak/lavDiag/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: corrplot (>= 0.90), dplyr, furrr, future, future.apply, ggplot2, ggrepel, igraph, lavaan, mgcv, purrr, rlang, stringr, tibble, tidyselect, tidyr, vctrs, visNetwork, withr
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-28 18:11:32 UTC; ddrea
Author: Karel Recka [aut, cre]
Maintainer: Karel Recka <reckak@mail.muni.cz>
Repository: CRAN
Date/Publication: 2026-01-17 11:50:08 UTC

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Package ggsem updated to version 0.9.8 with previous version 0.9.7 dated 2026-01-08

Title: Interactive Structural Equation Modeling (SEM) and Multi-Group Path Diagrams
Description: Provides an interactive workflow for visualizing structural equation modeling (SEM), multi-group path diagrams, and network diagrams in R. Users can directly manipulate nodes and edges to create publication-quality figures while maintaining statistical model integrity. Supports integration with 'lavaan', 'OpenMx', 'tidySEM', and 'blavaan' etc. Features include parameter-based aesthetic mapping, generative AI assistance, and complete reproducibility by exporting metadata for script-based workflows.
Author: Seung Hyun Min [aut, cre]
Maintainer: Seung Hyun Min <seung.min@mail.mcgill.ca>

Diff between ggsem versions 0.9.7 dated 2026-01-08 and 0.9.8 dated 2026-01-17

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 README.md                 |    5 +-
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New package EnTraineR with initial version 1.0.0
Package: EnTraineR
Title: Enhanced Teaching Assistant (AI) for Statistical Analysis
Version: 1.0.0
Description: An assistant built on large language models that helps interpret statistical model outputs in R by generating concise, audience-specific explanations.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ollamar, httr2 (>= 1.0.0)
Suggests: FactoMineR, commonmark, rmarkdown
SystemRequirements: Pandoc (for DOCX/HTML conversion when using rmarkdown)
Depends: R (>= 4.1.0)
URL: https://github.com/Sebastien-Le/EnTraineR
BugReports: https://github.com/Sebastien-Le/EnTraineR/issues
NeedsCompilation: no
Packaged: 2026-01-12 08:06:43 UTC; sebastienle
Author: Sebastien Le [aut, cre]
Maintainer: Sebastien Le <sebastien.le@institut-agro.fr>
Repository: CRAN
Date/Publication: 2026-01-17 11:30:02 UTC

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Package mlsurvlrnrs updated to version 0.0.8 with previous version 0.0.7 dated 2025-12-04

Title: R6-Based ML Survival Learners for 'mlexperiments'
Description: Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners for survival analysis. The package provides R6-based survival learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'rpart' <https://CRAN.R-project.org/package=rpart>. These can be used directly with the 'mlexperiments' R package.
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

Diff between mlsurvlrnrs versions 0.0.7 dated 2025-12-04 and 0.0.8 dated 2026-01-17

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Permanent link

Package mixgb updated to version 2.2.3 with previous version 2.0.3 dated 2025-12-07

Title: Multiple Imputation Through 'XGBoost'
Description: Multiple imputation using 'XGBoost', subsampling, and predictive mean matching as described in Deng and Lumley (2024) <doi:10.1080/10618600.2023.2252501>. The package supports various types of variables, offers flexible settings, and enables saving an imputation model to impute new data. Data processing and memory usage have been optimised to speed up the imputation process.
Author: Yongshi Deng [aut, cre] , Thomas Lumley [ths]
Maintainer: Yongshi Deng <agnes.yongshideng@gmail.com>

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Package adproclus updated to version 2.0.1 with previous version 2.0.0 dated 2024-08-17

Title: Additive Profile Clustering Algorithms
Description: Obtain overlapping clustering models for object-by-variable data matrices using the Additive Profile Clustering (ADPROCLUS) method. Also contains the low dimensional ADPROCLUS method for simultaneous dimension reduction and overlapping clustering. For reference see Depril, Van Mechelen, Mirkin (2008) <doi:10.1016/j.csda.2008.04.014> and Depril, Van Mechelen, Wilderjans (2012) <doi:10.1007/s00357-012-9112-5>.
Author: Henry Heppe [aut, cre, cph], Julian Rossbroich [aut], Jeffrey Durieux [aut], Tom Wilderjans [aut]
Maintainer: Henry Heppe <heppe.henry@gmail.com>

Diff between adproclus versions 2.0.0 dated 2024-08-17 and 2.0.1 dated 2026-01-17

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Package xlr updated to version 1.1.1 with previous version 1.1.0 dated 2026-01-14

Title: Create Table Summaries and Export Neat Tables to 'Excel'
Description: A high-level interface for creating and exporting summary tables to 'Excel'. Built on 'dplyr' and 'openxlsx', it provides tools for generating one-way to n-way tables, and summarizing multiple response questions and question blocks. Tables are exported with native 'Excel' formatting, including titles, footnotes, and basic styling options.
Author: Nicholas Hilderson [aut, cre, cph]
Maintainer: Nicholas Hilderson <nhilderson.code@gmail.com>

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Package PracTools updated to version 1.7.5 with previous version 1.7 dated 2025-09-29

Title: Designing and Weighting Survey Samples
Description: Functions and datasets to support Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>, "Practical Tools for Designing and Weighting Survey Samples". Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Functions are included that will group geographic units accounting for distances apart and measures of size. Other functions compute variance components for multistage designs, sample sizes in two-phase designs, and a stopping rule for ending data collection. A number of example data sets are included.
Author: Richard Valliant [aut, cre], Jill A. Dever [ctb], Frauke Kreuter [ctb], George Zipf [aut]
Maintainer: Richard Valliant <valliant@umich.edu>

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Package photon updated to version 0.7.4-1 with previous version 0.7.4 dated 2025-10-29

Title: High-Performance Geocoding using 'photon'
Description: Features unstructured, structured and reverse geocoding using the 'photon' geocoding API <https://photon.komoot.io/>. Facilitates the setup of local 'photon' instances to enable offline geocoding.
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jslth@outlook.com>

Diff between photon versions 0.7.4 dated 2025-10-29 and 0.7.4-1 dated 2026-01-17

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Package pgenlibr updated to version 0.5.4 with previous version 0.5.3 dated 2025-06-25

Title: PLINK 2 Binary (.pgen) Reader
Description: A thin wrapper over PLINK 2's core libraries which provides an R interface for reading .pgen files. A minimal .pvar loader is also included. Chang et al. (2015) \doi{10.1186/s13742-015-0047-8}.
Author: Christopher Chang [aut, cre], Eric Biggers [ctb, cph] , Yann Collet [ctb] , Meta Platforms, Inc. [cph] , Evan Nemerson [ctb, cph] , Przemyslaw Skibinski [ctb] , Nick Terrell [ctb]
Maintainer: Christopher Chang <chrchang@alumni.caltech.edu>

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Package fect updated to version 2.1.0 with previous version 2.0.5 dated 2025-08-25

Title: Fixed Effects Counterfactual Estimators
Description: Provides tools for estimating causal effects in panel data using counterfactual methods, as well as other modern DID estimators. It is designed for causal panel analysis with binary treatments under the parallel trends assumption. The package supports scenarios where treatments can switch on and off and allows for limited carryover effects. It includes several imputation estimators, such as Gsynth (Xu 2017), linear factor models, and the matrix completion method. Detailed methodology is described in Liu, Wang, and Xu (2024) <doi:10.48550/arXiv.2107.00856> and Chiu et al. (2025) <doi:10.48550/arXiv.2309.15983>. Optionally integrates with the "HonestDiDFEct" package for sensitivity analyses compatible with imputation estimators. "HonestDiDFEct" is not on CRAN but can be obtained from <https://github.com/lzy318/HonestDiDFEct>.
Author: Licheng Liu [aut], Ziyi Liu [aut], Ye Wang [aut], Yiqing Xu [aut, cre], Tianzhu Qin [aut], Shiyun Hu [aut], Rivka Lipkovitz [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package autoFRK readmission to version 1.4.4 with previous version 1.4.3 dated 2021-03-12

Title: Automatic Fixed Rank Kriging
Description: Automatic fixed rank kriging for (irregularly located) spatial data using a class of basis functions with multi-resolution features and ordered in terms of their resolutions. The model parameters are estimated by maximum likelihood (ML) and the number of basis functions is determined by Akaike's information criterion (AIC). For spatial data with either one realization or independent replicates, the ML estimates and AIC are efficiently computed using their closed-form expressions when no missing value occurs. Details regarding the basis function construction, parameter estimation, and AIC calculation can be found in Tzeng and Huang (2018) <doi:10.1080/00401706.2017.1345701>. For data with missing values, the ML estimates are obtained using the expectation- maximization algorithm. Apart from the number of basis functions, there are no other tuning parameters, making the method fully automatic. Users can also include a stationary structure in the spatial covariance, which utilizes ' [...truncated...]
Author: ShengLi Tzeng [aut, cre], Hsin-Cheng Huang [aut], Wen-Ting Wang [ctb], Douglas Nychka [ctb]
Maintainer: ShengLi Tzeng <slt.cmu@gmail.com>

This is a re-admission after prior archival of version 1.4.3 dated 2021-03-12

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Package rappdirs updated to version 0.3.4 with previous version 0.3.3 dated 2021-01-31

Title: Application Directories: Determine Where to Save Data, Caches, and Logs
Description: An easy way to determine which directories on the users computer you should use to save data, caches and logs. A port of Python's 'Appdirs' (<https://github.com/ActiveState/appdirs>) to R.
Author: Hadley Wickham [trl, cre, cph], Sridhar Ratnakumar [aut], Trent Mick [aut], ActiveState [cph] , Eddy Petrisor [ctb], Trevor Davis [trl, aut] , Gabor Csardi [ctb], Gregory Jefferis [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package fastmatch updated to version 1.1-8 with previous version 1.1-6 dated 2024-12-23

Title: Fast 'match()' Function
Description: Package providing a fast match() replacement for cases that require repeated look-ups. It is slightly faster that R's built-in match() function on first match against a table, but extremely fast on any subsequent lookup as it keeps the hash table in memory.
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between fastmatch versions 1.1-6 dated 2024-12-23 and 1.1-8 dated 2026-01-17

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Package bartMachine updated to version 1.4 with previous version 1.3.4.1 dated 2023-07-06

Title: Bayesian Additive Regression Trees
Description: An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.
Author: Adam Kapelner [aut, cre] , Justin Bleich [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

Diff between bartMachine versions 1.3.4.1 dated 2023-07-06 and 1.4 dated 2026-01-17

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Package traineR updated to version 2.2.10 with previous version 2.2.9 dated 2025-12-18

Title: Predictive (Classification and Regression) Models Homologator
Description: Methods to unify the different ways of creating predictive models and their different predictive formats for classification and regression. It includes methods such as K-Nearest Neighbors Schliep, K. P. (2004) <doi:10.5282/ubm/epub.1769>, Decision Trees Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (2017) <doi:10.1201/9781315139470>, ADA Boosting Esteban Alfaro, Matias Gamez, Noelia García (2013) <doi:10.18637/jss.v054.i02>, Extreme Gradient Boosting Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>, Random Forest Breiman (2001) <doi:10.1023/A:1010933404324>, Neural Networks Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Support Vector Machines Bennett, K. P. & Campbell, C. (2000) <doi:10.1145/380995.380999>, Bayesian Methods Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995) <doi:10.1201/9780429258411>, Linear Discriminant Analysis Venables, W. N., & Ripley, B. [...truncated...]
Author: Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [aut], Ariel Arroyo S. [aut], Diego Jimenez A. [aut], Jennifer Lobo V. [aut]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>

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Package spatstat.univar updated to version 3.1-6 with previous version 3.1-5 dated 2025-11-17

Title: One-Dimensional Probability Distribution Support for the 'spatstat' Family
Description: Estimation of one-dimensional probability distributions including kernel density estimation, weighted empirical cumulative distribution functions, Kaplan-Meier and reduced-sample estimators for right-censored data, heat kernels, kernel properties, quantiles and integration.
Author: Adrian Baddeley [aut, cre, cph] , Tilman M. Davies [aut, ctb, cph] , Martin L. Hazelton [aut, ctb, cph] , Ege Rubak [aut, cph] , Rolf Turner [aut, cph] , Greg McSwiggan [ctb, cph]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package mllrnrs updated to version 0.0.8 with previous version 0.0.7 dated 2025-12-04

Title: R6-Based ML Learners for 'mlexperiments'
Description: Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners. The package provides R6-based learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'lightgbm' <https://CRAN.R-project.org/package=lightgbm>. These can be used directly with the 'mlexperiments' R package.
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

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Package mapSpain updated to version 1.0.0 with previous version 0.10.0 dated 2024-12-15

Title: Administrative Boundaries of Spain
Description: Administrative Boundaries of Spain at several levels (Autonomous Communities, Provinces, Municipalities) based on the 'GISCO' 'Eurostat' database <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase SIANE' from 'Instituto Geografico Nacional' <https://www.ign.es/>. It also provides a 'leaflet' plugin and the ability of downloading and processing static tiles.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , Instituto Geografico Nacional [cph] , Francisco J. Goerlich [ctb]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package gtExtras updated to version 0.6.2 with previous version 0.6.1 dated 2025-10-10

Title: Extending 'gt' for Beautiful HTML Tables
Description: Provides additional functions for creating beautiful tables with 'gt'. The functions are generally wrappers around boilerplate or adding opinionated niche capabilities and helpers functions.
Author: Thomas Mock [aut, cre, cph], Daniel D. Sjoberg [ctb]
Maintainer: Thomas Mock <j.thomasmock@gmail.com>

Diff between gtExtras versions 0.6.1 dated 2025-10-10 and 0.6.2 dated 2026-01-17

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Package ggformula updated to version 1.0.1 with previous version 1.0.0 dated 2025-10-06

Title: Formula Interface to the Grammar of Graphics
Description: Provides a formula interface to 'ggplot2' graphics.
Author: Daniel Kaplan [aut], Randall Pruim [aut, cre]
Maintainer: Randall Pruim <rpruim@calvin.edu>

Diff between ggformula versions 1.0.0 dated 2025-10-06 and 1.0.1 dated 2026-01-17

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Package aqp updated to version 2.3 with previous version 2.2-1 dated 2025-09-17

Title: Algorithms for Quantitative Pedology
Description: The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb <https://casoilresource.lawr.ucdavis.edu/soilweb-apps>. Components of the AQP project (aqp, soilD [...truncated...]
Author: Dylan Beaudette [aut, cre] , Pierre Roudier [aut, ctb], Andrew Brown [aut, ctb], Stephen Roecker [aut, ctb], David Rossiter [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

Diff between aqp versions 2.2-1 dated 2025-09-17 and 2.3 dated 2026-01-17

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