Mon, 16 Feb 2026

Package mulSEM updated to version 1.2 with previous version 1.0 dated 2024-02-04

Title: Some Multivariate Analyses using Structural Equation Modeling
Description: A set of functions for some multivariate analyses utilizing a structural equation modeling (SEM) approach through the 'OpenMx' package. These analyses include canonical correlation analysis (CANCORR), redundancy analysis (RDA), and multivariate principal component regression (MPCR). It implements procedures discussed in Gu and Cheung (2023) <doi:10.1111/bmsp.12301>, Gu, Yung, and Cheung (2019) <doi:10.1080/00273171.2018.1512847>, and Gu et al. (2023) <doi:10.1080/00273171.2022.2141675>.
Author: Mike Cheung [aut, cre] , Fei Gu [ctb] , Yiu-Fai Yung [ctb]
Maintainer: Mike Cheung <mikewlcheung@nus.edu.sg>

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Package futility updated to version 0.5 with previous version 0.4 dated 2019-04-11

Title: Interim Analysis of Operational Futility in Randomized Trials with Time-to-Event Endpoints and Fixed Follow-Up
Description: Randomized clinical trials commonly follow participants for a time-to-event efficacy endpoint for a fixed period of time. Consequently, at the time when the last enrolled participant completes their follow-up, the number of observed endpoints is a random variable. Assuming data collected through an interim timepoint, simulation-based estimation and inferential procedures in the standard right-censored failure time analysis framework are conducted for the distribution of the number of endpoints--in total as well as by treatment arm--at the end of the follow-up period. The future (i.e., yet unobserved) enrollment, endpoint, and dropout times are generated according to mechanisms specified in the simTrial() function in the 'seqDesign' package. A Bayesian model for the endpoint rate, offering the option to specify a robust mixture prior distribution, is used for generating future data (see the vignette for details). Inference can be restricted to participants who received treatment accordi [...truncated...]
Author: Yingying Zhuang [aut], Michal Juraska [aut, cre], Doug Grove [ctb], Peter Gilbert [ctb], Alexander Luedtke [ctb], Sanne Roels [ctb], An Vandebosch [ctb]
Maintainer: Michal Juraska <mjuraska@fredhutch.org>

Diff between futility versions 0.4 dated 2019-04-11 and 0.5 dated 2026-02-16

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Package rbmiUtils updated to version 0.3.0 with previous version 0.1.8 dated 2026-01-24

Title: Utility Functions to Support and Extend the 'rbmi' Package
Description: Provides utility functions that extend the capabilities of the reference-based multiple imputation package 'rbmi'. It supports clinical trial analysis workflows with functions for managing imputed datasets, applying analysis methods across imputations, and tidying results for reporting.
Author: Mark Baillie [aut, cre, cph] , Tobias Muetze [aut] , Jack Talboys [aut], Lukas A. Widmer [ctb]
Maintainer: Mark Baillie <bailliem@gmail.com>

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Package cmprskQR updated to version 0.9.3 with previous version 0.9.2 dated 2019-09-15

Title: Analysis of Competing Risks Using Quantile Regressions
Description: Estimation, testing and regression modeling of subdistribution functions in competing risks using quantile regressions, as described in Peng and Fine (2009) <DOI:10.1198/jasa.2009.tm08228>.
Author: Stephan Dlugosz [aut, cre], Limin Peng [aut], Ruosha Li [aut], Shuolin Shi [ctb]
Maintainer: Stephan Dlugosz <stephan.dlugosz@googlemail.com>

Diff between cmprskQR versions 0.9.2 dated 2019-09-15 and 0.9.3 dated 2026-02-16

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Package scSpatialSIM updated to version 0.1.4 with previous version 0.1.3.4 dated 2024-10-01

Title: A Point Pattern Simulator for Spatial Cellular Data
Description: Single cell resolution data has been valuable in learning about tissue microenvironments and interactions between cells or spots. This package allows for the simulation of this level of data, be it single cell or ‘spots’, in both a univariate (single metric or cell type) and bivariate (2 or more metrics or cell types) ways. As more technologies come to marker, more methods will be developed to derive spatial metrics from the data which will require a way to benchmark methods against each other. Additionally, as the field currently stands, there is not a gold standard method to be compared against. We set out to develop an R package that will allow users to simulate point patterns that can be biologically informed from different tissue domains, holes, and varying degrees of clustering/colocalization. The data can be exported as spatial files and a summary file (like 'HALO'). <https://github.com/FridleyLab/scSpatialSIM/>.
Author: Alex Soupir [aut], Christopher Wilson [aut], Jordan Creed [aut], Julia Wrobel [aut], Oscar Ospina [aut], Brooke Fridley [aut, cph], Fridley Lab [cre]
Maintainer: Fridley Lab <fridley.lab@moffitt.org>

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Package rencher updated to version 0.1.6 with previous version 0.1.4 dated 2025-07-02

Title: Datasets from the Book "Methods of Multivariate Analysis (3rd)"
Description: Provides the datasets in the book "Methods of Multivariate Analysis (3rd)", such as Table 6.27 Blood Pressure Data, for statistical analysis,especially MANOVA. The dataset names correspond to their numbering in the third edition of the book, such as table6.27. Based on the book by Rencher and Christensen (2012, ISBN:9780470178966).
Author: Atefeh Rashidi Pour [aut, cre], Fatemeh Naderi [aut]
Maintainer: Atefeh Rashidi Pour <rashidiatefeh98@gmail.com>

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Package luajr updated to version 0.2.2 with previous version 0.2.1 dated 2026-02-15

Title: 'LuaJIT' Scripting
Description: An interface to 'LuaJIT' <https://luajit.org>, a just-in-time compiler for the 'Lua' scripting language <https://www.lua.org>. Allows users to run 'Lua' code from 'R'.
Author: Mike Pall [aut, cph] , Lua.org, PUC-Rio [cph] , Nicholas Davies [cre, ctb, cph] , Scott Lembcke, Howling Moon Software [ctb, cph]
Maintainer: Nicholas Davies <nicholas.davies@lshtm.ac.uk>

Diff between luajr versions 0.2.1 dated 2026-02-15 and 0.2.2 dated 2026-02-16

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Package Blend updated to version 0.1.2 with previous version 0.1.1.1 dated 2025-01-29

Title: Robust Bayesian Longitudinal Regularized Semiparametric Mixed Models
Description: Our recently developed fully robust Bayesian semiparametric mixed-effect model for high-dimensional longitudinal studies with heterogeneous observations can be implemented through this package. This model can distinguish between time-varying interactions and constant-effect-only cases to avoid model misspecifications. Facilitated by spike-and-slab priors, this model leads to superior performance in estimation, identification and statistical inference. In particular, robust Bayesian inferences in terms of valid Bayesian credible intervals on both parametric and nonparametric effects can be validated on finite samples. The Markov chain Monte Carlo algorithms of the proposed and alternative models are efficiently implemented in 'C++'.
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

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Package bitfield updated to version 1.0.0 with previous version 0.6.1 dated 2025-05-01

Title: Handle Bitfields to Record Meta Data
Description: Record algorithmic and analytic meta data along a workflow to store that in a bitfield, which can be published alongside any (modelled) data products.
Author: Steffen Ehrmann [aut, cre]
Maintainer: Steffen Ehrmann <steffen.ehrmann@posteo.de>

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Package undidR updated to version 3.0.1 with previous version 3.0.0 dated 2026-01-25

Title: Difference-in-Differences with Unpoolable Data
Description: A framework for estimating difference-in-differences with unpoolable data, based on Karim, Webb, Austin, and Strumpf (2025) <doi:10.48550/arXiv.2403.15910>. Supports common or staggered adoption, multiple groups, and the inclusion of covariates. Also computes p-values for the aggregate average treatment effect on the treated via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.
Author: Eric Jamieson [aut, cre, cph]
Maintainer: Eric Jamieson <ericbrucejamieson@gmail.com>

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New package typstable with initial version 0.1.0
Package: typstable
Title: Better 'Typst' Tables
Version: 0.1.0
URL: https://freierson.github.io/typstable/, https://github.com/freierson/typstable
BugReports: https://github.com/freierson/typstable/issues
Description: Create 'Typst' table markup from data frames. Features a pipe-friendly interface for column, row, and cell styling with support for grouped headers, grouped rows, and data-driven formatting.
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: rlang (>= 1.0.0), tidyselect
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, tibble, dplyr
VignetteBuilder: knitr
License: GPL-3
Date: 2026-01-26
NeedsCompilation: no
Packaged: 2026-02-11 23:27:54 UTC; filip
Author: Filip Reierson [aut, cre]
Maintainer: Filip Reierson <filip.reierson@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-16 17:30:02 UTC

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New package sqlserverconnect with initial version 0.1.0
Package: sqlserverconnect
Title: Simple Helpers for Connecting to 'SQL Server'
Version: 0.1.0
Description: Lightweight helpers for connecting to Microsoft 'SQL Server' using 'DBI', 'odbc', and 'pool'. Provides simple wrappers for building connection arguments, establishing connections, and safely disconnecting.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: DBI, odbc, pool, cli
NeedsCompilation: no
Packaged: 2026-02-12 00:31:25 UTC; daver
Author: Dave Rosenman [aut, cre]
Maintainer: Dave Rosenman <dave.rosenman.data@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-16 17:30:08 UTC

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New package SimtablR with initial version 1.0.1
Package: SimtablR
Title: Easy Publication-Ready Tables and Regression Analysis
Version: 1.0.1
Description: Streamlines the creation of descriptive frequency tables ('Table 1'), diagnostic test accuracy evaluations (sensitivity, specificity, predictive values), and multi-outcome regression summaries. Features automatic tables, prevalence and odds ratio calculations, and seamless integration with 'flextable' for exporting results to 'Microsoft Word' and 'PowerPoint'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, flextable, lmtest, openxlsx, sandwich, stats, tidyr, utils
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
URL: https://github.com/MatheusTG-14/SimtablR, https://MatheusTG-14.github.io/SimtablR/
BugReports: https://github.com/MatheusTG-14/SimtablR/issues
NeedsCompilation: no
Packaged: 2026-02-12 02:46:23 UTC; mathe
Author: Matheus Trabuco Gonzalez [aut, cre]
Maintainer: Matheus Trabuco Gonzalez <matheustrabucogonzalez@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-16 17:50:07 UTC

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New package quallmer with initial version 0.3.0
Package: quallmer
Title: Qualitative Analysis with Large Language Models
Version: 0.3.0
Description: Tools for AI-assisted qualitative data coding using large language models ('LLMs') via the 'ellmer' package, supporting providers including 'OpenAI', 'Anthropic', 'Google', 'Azure', and local models via 'Ollama'. Provides a 'codebook'-based workflow for defining coding instructions and applying them to texts, images, and other data. Includes built-in 'codebooks' for common applications such as sentiment analysis and policy coding, and functions for creating custom 'codebooks' for specific research questions. Supports systematic replication across models and settings, computing inter-coder reliability statistics including Krippendorff's alpha (Krippendorff 2019, <doi:10.4135/9781071878781>) and Fleiss' kappa (Fleiss 1971, <doi:10.1037/h0031619>), as well as gold-standard validation metrics including accuracy, precision, recall, and F1 scores following Sokolova and Lapalme (2009, <doi:10.1016/j.ipm.2009.03.002>). Provides audit trail functionality for documenting coding [...truncated...]
License: GPL-3
URL: https://quallmer.github.io/quallmer/
Depends: R (>= 3.5.0), ellmer (>= 0.4.0)
Imports: cli, dplyr, tidyr, digest, irr, lifecycle, rlang, stats, yardstick
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, janitor, knitr, rmarkdown, testthat (>= 3.0.0), kableExtra, mockery, quanteda, quanteda.tidy, tibble, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-12 10:15:40 UTC; smaerz
Author: Seraphine F. Maerz [aut, cre] , Kenneth Benoit [aut]
Maintainer: Seraphine F. Maerz <seraphine.maerz@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2026-02-16 18:00:02 UTC

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Package psvmSDR updated to version 3.0.1 with previous version 2.0.1 dated 2025-10-27

Title: Unified Principal Sufficient Dimension Reduction Package
Description: A unified and user-friendly framework for applying the principal sufficient dimension reduction methods for both linear and nonlinear cases. The package has an extendable power by varying loss functions for the support vector machine, even for an user-defined arbitrary function, unless those are convex and differentiable everywhere over the support (Li et al. (2011) <doi:10.1214/11-AOS932>). Also, it provides a real-time sufficient dimension reduction update procedure using the principal least squares support vector machine (Artemiou et al. (2021) <doi:10.1016/j.patcog.2020.107768>).
Author: Jungmin Shin [aut, cre], Seung Jun Shin [aut], Andreas Artemiou [aut]
Maintainer: Jungmin Shin <c16267@gmail.com>

Diff between psvmSDR versions 2.0.1 dated 2025-10-27 and 3.0.1 dated 2026-02-16

 DESCRIPTION                  |    6 
 MD5                          |   44 -
 NAMESPACE                    |   12 
 R/fn_minor.R                 |   77 +++
 R/fn_npsdr.R                 |  729 +++++++++++++-------------------
 R/fn_npsdr_x.R               |  107 +++-
 R/fn_plot_npsdr.R            |  159 +++++--
 R/fn_plot_psdr.R             |  152 +++++-
 R/fn_psdr.R                  |  955 ++++++++++++++++++++++++-------------------
 R/fn_psdr_bic.R              |  185 ++++++--
 R/fn_rtpsdr.R                |  368 +++++++++++-----
 R/psvmSDR-package.R          |    2 
 README.md                    |    2 
 man/npsdr.Rd                 |   55 +-
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 man/plot.psdr.Rd             |   46 +-
 man/psdr.Rd                  |   83 ++-
 man/psdr_bic.Rd              |   95 +++-
 man/rtpsdr.Rd                |   85 ++-
 tests/testthat/Rplots.pdf    |binary
 tests/testthat/test-psdr.R   |   17 
 tests/testthat/test-rtpsdr.R |   13 
 23 files changed, 1987 insertions(+), 1280 deletions(-)

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New package optree with initial version 0.1.0
Package: optree
Title: Hierarchical Runtime Configuration Management
Version: 0.1.0
Description: Provides tools for managing nested, multi-level configuration systems with runtime mutability, type validation, and default value management. Supports creating hierarchical options managers with customizable validators for scalar and vector types (numeric, character, logical), enumerated values, bounded ranges, and complex structures like XY pairs. Options can be dynamically modified at runtime while maintaining type safety through validator functions, and easily reset to their default values when needed.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://optree.bangyou.me/, https://github.com/byzheng/optree
BugReports: https://github.com/byzheng/optree/issues
NeedsCompilation: no
Packaged: 2026-02-11 23:24:23 UTC; zhe00a
Author: Bangou Zheng [aut, cre]
Maintainer: Bangou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-16 17:20:07 UTC

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Package npRmpi readmission to version 0.60-20 with previous version 0.60-2 dated 2014-06-27

Title: Parallel Nonparametric Kernel Smoothing Methods for Mixed Data Types Using 'MPI'
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. This package is a parallel implementation of the 'np' package based on the 'MPI' specification that incorporates the 'Rmpi' package (Hao Yu <hyu@stats.uwo.ca>) with minor modifications and we are extremely grateful to Hao Yu for his contributions to the 'R' community. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the 'GNU GSL' authors. In particular, we adapt the 'GNU GSL' B-spline routine 'gsl_bspline.c' adding automated support for quantile knots (in addition t [...truncated...]
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut], Hao Yu [ctb, cph], The GSL Team [cph], Numerical Recipes Software [cph]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

This is a re-admission after prior archival of version 0.60-2 dated 2014-06-27

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Package mlmpower updated to version 1.0.11 with previous version 1.0.10 dated 2025-05-07

Title: Power Analysis and Data Simulation for Multilevel Models
Description: A declarative language for specifying multilevel models, solving for population parameters based on specified variance-explained effect size measures, generating data, and conducting power analyses to determine sample size recommendations. The specification allows for any number of within-cluster effects, between-cluster effects, covariate effects at either level, and random coefficients. Moreover, the models do not assume orthogonal effects, and predictors can correlate at either level and accommodate models with multiple interaction effects.
Author: Brian T. Keller [aut, cre, cph]
Maintainer: Brian T. Keller <btkeller@missouri.edu>

Diff between mlmpower versions 1.0.10 dated 2025-05-07 and 1.0.11 dated 2026-02-16

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New package kernreg with initial version 1.0
Package: kernreg
Title: Nadaraya-Watson Kernel Regression
Version: 1.0
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rcpp, RcppParallel, Rfast, Rfast2
LinkingTo: Rcpp, RcppParallel
Encoding: UTF-8
SystemRequirements: GNU make
Description: Fast implementation of Nadaraya-Watson kernel regression for either univariate or multivariate responses, with one or more bandwidths. K-fold cross-validation is also performed.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2026-02-12 11:34:55 UTC; mtsag
Author: Michail Tsagris [aut, cre], Christos Adam [aut]
Repository: CRAN
Date/Publication: 2026-02-16 18:00:09 UTC

More information about kernreg at CRAN
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New package gsMeanFreq with initial version 0.1.0
Package: gsMeanFreq
Title: Group Sequential Clinical Trial Designs for Composite Endpoints
Version: 0.1.0
Maintainer: Qinghua Lian <qlian@mcw.edu>
Description: Simulating composite endpoints with recurrent and terminal events under staggered entry, and for constructing one- and two-sample group sequential test statistics and monitoring boundaries based on the mean frequency function. Details will be available in an upcoming publication.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, tibble, pracma, mvtnorm, gsDesign, stats, bdsmatrix, rlang, foreach, survival
NeedsCompilation: no
Packaged: 2026-02-12 04:01:35 UTC; qinghua
Author: Qinghua Lian [aut, cre], Kwang Woo Ahn [ctb], Soyoung Kim [ctb], Michael J Martens [aut], Brent R. Logan [ctb]
Repository: CRAN
Date/Publication: 2026-02-16 17:50:02 UTC

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New package gsDesignNB with initial version 0.2.6
Package: gsDesignNB
Version: 0.2.6
Title: Sample Size and Simulation for Negative Binomial Outcomes
Description: Provides tools for planning and simulating recurrent event trials with overdispersed count endpoints analyzed using negative binomial (or Poisson) rate models. Implements sample size and power calculations for fixed designs with variable accrual, dropout, maximum follow-up, and event gaps, including methods of Zhu and Lakkis (2014) <doi:10.1002/sim.5947> and Friede and Schmidli (2010) <doi:10.3414/ME09-02-0060>. Supports group sequential designs by adding calendar-time analysis schedules compatible with the 'gsDesign' package and by estimating blinded information at interim looks. Includes simulation utilities for recurrent events (including seasonal rates), interim data truncation, and Wald-based inference for treatment rate ratios.
License: GPL (>= 3)
URL: https://keaven.github.io/gsDesignNB/, https://github.com/keaven/gsDesignNB
BugReports: https://github.com/keaven/gsDesignNB/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: data.table, gsDesign, simtrial, stats, MASS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, dplyr, gt, scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-12 01:18:28 UTC; Anderkea
Author: Keaven Anderson [aut, cre], Nan Xiao [ctb], Hongtao Zhang [ctb], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>
Repository: CRAN
Date/Publication: 2026-02-16 17:40:09 UTC

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Package impectR updated to version 2.5.4 with previous version 2.5.3 dated 2025-12-17

Title: Access Data from the 'Impect' API
Description: Pull data from the 'Impect' Customer API <https://glossary.impect.com/api-design>. The package can retrieve data such as events or match sums.
Author: Impect GmbH [cph], Florian Schmitt [aut, cre], Thomas Walentin [ctb]
Maintainer: Florian Schmitt <florian.schmitt@impect.com>

Diff between impectR versions 2.5.3 dated 2025-12-17 and 2.5.4 dated 2026-02-16

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Package xegaGaGene updated to version 1.0.0.6 with previous version 1.0.0.5 dated 2025-08-22

Title: Binary Gene Operations for Genetic Algorithms
Description: Representation-dependent gene level operations of a genetic algorithm with binary coded genes for the R-package 'xega' <https://CRAN.R-project.org/package=xega>: Initialization of random binary genes, several gene maps for binary genes, several mutation operators, several crossover operators with 1 and 2 kids, replication pipelines for 1 and 2 kids, and, last but not least, function factories for configuration. See Goldberg, D. E. (1989, ISBN:0-201-15767-5). For crossover operators, see Syswerda, G. (1989, ISBN:1-55860-066-3), Spears, W. and De Jong, K. (1991, ISBN:1-55860-208-9). For mutation operators, see Stanhope, S. A. and Daida, J. M. (1996, ISBN:0-18-201-031-7). For 'xega''s architecture, see Geyer-Schulz, A. (2025) <doi:10.5445/IR/1000187255>.
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

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Package xegaDfGene updated to version 1.0.0.9 with previous version 1.0.0.7 dated 2025-08-22

Title: Gene Operations for Real-Coded Genes
Description: Representation-dependent gene-level operations for genetic and evolutionary algorithms with real-coded genes used in the R-package 'xega' <https://CRAN.R-project.org/package=xega> are collected in this package. The common feature of the gene operations is that all of them are useful for derivation-free optimization algorithms. At the moment the package implements initialization, mutation, crossover, and replication operations for differential evolution as described in Price, Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005) <doi:10.1007/3-540-31306-0>. In addition, several (more recent) methods for determining the scale factor are provided. For 'xega''s architecture, see Geyer-Schulz, A. (2025) <doi:10.5445/IR/1000187255>.
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

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Package SEQTaRget updated to version 1.3.6 with previous version 1.3.5 dated 2026-02-05

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Alejandro Szmulewicz [aut] , Tom Palmer [aut] , Miguel Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryan.odea@psi.ch>

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Package projoint updated to version 1.1.0 with previous version 1.0.6 dated 2025-10-29

Title: Conjoint Analysis with Reliability Correction and Visualization
Description: Provides tools for analyzing data generated from conjoint survey experiments, a method widely used in the social sciences for studying multidimensional preferences. The package implements estimation of marginal means (MMs) and average marginal component effects (AMCEs), with corrections for measurement error. Methods include profile-level and choice-level estimators, bias correction using intra-respondent reliability (IRR), and visualization utilities. For details on the methodology, see Clayton, Horiuchi, Kaufman, King, and Komisarchik (2025) <https://gking.harvard.edu/conjointE>.
Author: Yusaku Horiuchi [aut, cre] , Aaron Kaufman [aut] , Gary King [aut]
Maintainer: Yusaku Horiuchi <yusaku.horiuchi@gmail.com>

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Package nascaR.data updated to version 3.0.1 with previous version 3.0.0 dated 2026-02-14

Title: NASCAR Race Data
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NXS, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and is updated weekly during the racing season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.
Author: Kyle Grealis [aut, cre] , Nick Triplett [ctb], Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kylegrealis@proton.me>

Diff between nascaR.data versions 3.0.0 dated 2026-02-14 and 3.0.1 dated 2026-02-16

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Package event updated to version 1.1.2 with previous version 1.1.1 dated 2018-05-24

Title: Event History Procedures and Models
Description: Functions for setting up and analyzing event history data.
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut]
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

Diff between event versions 1.1.1 dated 2018-05-24 and 1.1.2 dated 2026-02-16

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Package cancerradarr updated to version 3.0.0 with previous version 2.1.0 dated 2025-11-10

Title: Cancer RADAR Project Tool
Description: Cancer RADAR is a project which aim is to develop an infrastructure that allows quantifying the risk of cancer by migration background across Europe. This package contains a set of functions cancer registries partners should use to reshape 5 year-age group cancer incidence data into a set of summary statistics (see Boyle & Parkin (1991, ISBN:978-92-832-1195-2)) in lines with Cancer RADAR data protections rules.
Author: Nienke Alberts [aut], Damien Georges [aut, cre] , Stefano Rosso [aut], Iacopo Baussano [aut]
Maintainer: Damien Georges <georgesd@iarc.who.int>

Diff between cancerradarr versions 2.1.0 dated 2025-11-10 and 3.0.0 dated 2026-02-16

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Package qch updated to version 2.1.2 with previous version 2.1.0 dated 2025-07-04

Title: Query Composite Hypotheses
Description: Provides functions for the joint analysis of Q sets of p-values obtained for the same list of items. This joint analysis is performed by querying a composite hypothesis, i.e. an arbitrary complex combination of simple hypotheses, as described in Mary-Huard et al. (2021) <doi:10.1093/bioinformatics/btab592> and De Walsche et al.(2025) <doi: 10.1093/nargab/lqaf118>. In this approach, the Q-uplet of p-values associated with each item is distributed as a multivariate mixture, where each of the 2^Q components corresponds to a specific combination of simple hypotheses. The dependence between the p-value series is considered using a Gaussian copula function. A p-value for the composite hypothesis test is derived from the posterior probabilities.
Author: Tristan Mary-Huard [aut, cre] , Annaig De Walsche [aut] , Franck Gauthier [ctb]
Maintainer: Tristan Mary-Huard <tristan.mary-huard@agroparistech.fr>

Diff between qch versions 2.1.0 dated 2025-07-04 and 2.1.2 dated 2026-02-16

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Package pammtools updated to version 0.7.4 with previous version 0.7.3 dated 2025-03-24

Title: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis
Description: The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>) is a powerful model class for the analysis of survival (or time-to-event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2019)), as well as support for left-truncated data as well as competing risks, recurrent events and multi-state settings. pammtools provides tidy workflow for survival analysis with PAMMs, including data simulation, transformation and other functions for data preprocessing and model post-processing as well as visualization.
Author: Andreas Bender [aut, cre] , Fabian Scheipl [aut] , Johannes Piller [aut] , Philipp Kopper [aut] , Lukas Burk [ctb]
Maintainer: Andreas Bender <andreas.bender@stat.uni-muenchen.de>

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Package JATSdecoder updated to version 1.3.0 with previous version 1.2.2 dated 2026-01-07

Title: A Metadata and Text Extraction and Manipulation Tool Set
Description: Provides a function collection to extract metadata, sectioned text and study characteristics from scientific articles in 'NISO-JATS' format. Articles in PDF format can be converted to 'NISO-JATS' with the 'Content ExtRactor and MINEr' ('CERMINE', <https://github.com/CeON/CERMINE>). For convenience, two functions bundle the extraction heuristics: JATSdecoder() converts 'NISO-JATS'-tagged XML files to a structured list with elements title, author, journal, history, 'DOI', abstract, sectioned text and reference list. study.character() extracts multiple study characteristics like number of included studies, statistical methods used, alpha error, power, statistical results, correction method for multiple testing, software used. The function get.stats() extracts all statistical results from text and recomputes p-values for many standard test statistics. It performs a consistency check of the reported with the recalculated p-values. An estimation of the involved sample size is performed [...truncated...]
Author: Ingmar Boeschen [aut, cre]
Maintainer: Ingmar Boeschen <ingmar.boeschen@uni-hamburg.de>

Diff between JATSdecoder versions 1.2.2 dated 2026-01-07 and 1.3.0 dated 2026-02-16

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Package AMAPVox updated to version 2.4.2 with previous version 2.2.1 dated 2024-03-15

Title: LiDAR Data Voxelisation
Description: Read, manipulate and write voxel spaces. Voxel spaces are read from text-based output files of the 'AMAPVox' software. 'AMAPVox' is a LiDAR point cloud voxelisation software that aims at estimating leaf area through several theoretical/numerical approaches. See more in the article Vincent et al. (2017) <doi:10.23708/1AJNMP> and the technical note Vincent et al. (2021) <doi:10.23708/1AJNMP>.
Author: Gregoire Vincent [aut], Julien Heurtebize [aut], Philippe Verley [aut, cre]
Maintainer: Philippe Verley <philippe.verley@ird.fr>

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Package rvg updated to version 0.4.1 with previous version 0.4.0 dated 2025-10-06

Title: R Graphics Devices for 'Office' Vector Graphics Output
Description: Vector Graphics devices for 'Microsoft PowerPoint' and 'Microsoft Excel'. Functions extending package 'officer' are provided to embed 'DrawingML' graphics into 'Microsoft PowerPoint' presentations and 'Microsoft Excel' workbooks.
Author: David Gohel [aut, cre], ArData [cph], Bob Rudis [ctb] , Francois Brunetti [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package poputils updated to version 0.6.1 with previous version 0.5.0 dated 2026-01-12

Title: Demographic Analysis and Data Manipulation
Description: Perform tasks commonly encountered when preparing and analysing demographic data. Some functions are intended for end users, and others for developers. Includes functions for working with life tables.
Author: John Bryant [aut, cre], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

Diff between poputils versions 0.5.0 dated 2026-01-12 and 0.6.1 dated 2026-02-16

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Package ldaPrototype updated to version 0.3.2 with previous version 0.3.1 dated 2021-09-02

Title: Prototype of Multiple Latent Dirichlet Allocation Runs
Description: Determine a Prototype from a number of runs of Latent Dirichlet Allocation (LDA) measuring its similarities with S-CLOP: A procedure to select the LDA run with highest mean pairwise similarity, which is measured by S-CLOP (Similarity of multiple sets by Clustering with Local Pruning), to all other runs. LDA runs are specified by its assignments leading to estimators for distribution parameters. Repeated runs lead to different results, which we encounter by choosing the most representative LDA run as prototype.
Author: Jonas Rieger [aut, cre]
Maintainer: Jonas Rieger <jonas.rieger@tu-dortmund.de>

Diff between ldaPrototype versions 0.3.1 dated 2021-09-02 and 0.3.2 dated 2026-02-16

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Package HMDA updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-18

Title: Holistic Multimodel Domain Analysis for Exploratory Machine Learning
Description: Holistic Multimodel Domain Analysis (HMDA) is a robust and transparent framework designed for exploratory machine learning research, aiming to enhance the process of feature assessment and selection. HMDA addresses key limitations of traditional machine learning methods by evaluating the consistency across multiple high-performing models within a fine-tuned modeling grid, thereby improving the interpretability and reliability of feature importance assessments. Specifically, it computes Weighted Mean SHapley Additive exPlanations (WMSHAP), which aggregate feature contributions from multiple models based on weighted performance metrics. HMDA also provides confidence intervals to demonstrate the stability of these feature importance estimates. This framework is particularly beneficial for analyzing complex, multidimensional datasets common in health research, supporting reliable exploration of mental health outcomes such as suicidal ideation, suicide attempts, and other psychological cond [...truncated...]
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@hotmail.com>

Diff between HMDA versions 0.1.1 dated 2025-09-18 and 0.2.0 dated 2026-02-16

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Package RPostgres updated to version 1.4.10 with previous version 1.4.9 dated 2026-02-06

Title: C++ Interface to PostgreSQL
Description: Fully DBI-compliant C++-backed interface to PostgreSQL <https://www.postgresql.org/>, an open-source relational database.
Author: Hadley Wickham [aut], Jeroen Ooms [aut], Kirill Mueller [aut, cre] , RStudio [cph], R Consortium [fnd], Tomoaki Nishiyama [ctb]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between RPostgres versions 1.4.9 dated 2026-02-06 and 1.4.10 dated 2026-02-16

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Package riskRegression updated to version 2026.02.13 with previous version 2025.09.17 dated 2025-09-17

Title: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
Description: Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.
Author: Thomas Alexander Gerds [aut, cre], Johan Sebastian Ohlendorff [aut], Paul Blanche [ctb], Rikke Mortensen [ctb], Marvin Wright [ctb], Nikolaj Tollenaar [ctb], John Muschelli [ctb], Ulla Brasch Mogensen [ctb], Asbjoern Risom [ctb], Brice Ozenne [aut]
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>

Diff between riskRegression versions 2025.09.17 dated 2025-09-17 and 2026.02.13 dated 2026-02-16

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Package HiCociety updated to version 0.1.39 with previous version 0.1.38 dated 2025-05-13

Title: Inferring Chromatin Interaction Modules from 3C-Based Data
Description: Identifies chromatin interaction modules by constructing a Hi-C contact network based on statistically significant interactions, followed by network clustering. The method enables comparison of module connectivity across two Hi-C datasets and is capable of detecting cell-type-specific regulatory modules. By integrating network analysis with chromatin conformation data, this approach provides insights into the spatial organization of the genome and its functional implications in gene regulation. Author: Sora Yoon (2025) <https://github.com/ysora/HiCociety>.
Author: Sora Yoon [aut, cre]
Maintainer: Sora Yoon <ysora90@gmail.com>

Diff between HiCociety versions 0.1.38 dated 2025-05-13 and 0.1.39 dated 2026-02-16

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Package evmissing updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-28

Title: Extreme Value Analyses with Missing Data
Description: Performs likelihood-based extreme value inferences with adjustment for the presence of missing values based on Simpson and Northrop (2026) <doi:10.1002/env.70075>. A Generalised Extreme Value distribution is fitted to block maxima using maximum likelihood estimation, with the location and scale parameters reflecting the numbers of non-missing raw values in each block. A Bayesian version is also provided. For the purposes of comparison, there are options to make no adjustment for missing values or to discard any block maximum for which greater than a percentage of the underlying raw values are missing. Example datasets containing missing values are provided.
Author: Paul J. Northrop [aut, cre, cph], Emma S. Simpson [aut, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

Diff between evmissing versions 1.0.1 dated 2026-01-28 and 1.0.2 dated 2026-02-16

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Package topics updated to version 0.70 with previous version 0.62 dated 2025-08-29

Title: Creating and Significance Testing Language Features for Visualisation
Description: Implements differential language analysis with statistical tests and offers various language visualization techniques for n-grams and topics. It also supports the 'text' package. For more information, visit <https://r-topics.org/> and <https://www.r-text.org/>.
Author: Leon Ackermann [aut] , Zhuojun Gu [aut] , Oscar Kjell [aut, cre]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

Diff between topics versions 0.62 dated 2025-08-29 and 0.70 dated 2026-02-16

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Package text updated to version 1.8.1 with previous version 1.8.0 dated 2026-01-08

Title: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning
Description: Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Author: Oscar Kjell [aut, cre] , Salvatore Giorgi [aut] , Andrew Schwartz [aut]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package Rparadox updated to version 0.2.2 with previous version 0.2.1 dated 2026-02-11

Title: Read Paradox Database Files into R
Description: Provides a simple and efficient way to read data from Paradox database files (.db) directly into R as modern 'tibble' data frames. It uses the underlying 'pxlib' C library, to handle the low-level file format details and provides a clean, user-friendly R interface.
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>

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Package rcatfish updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-03

Title: An R Interface to the California Academy of Sciences Eschmeyer's Catalog of Fishes
Description: Accesses the California Academy of Sciences Eschmeyer's Catalog of Fishes in R using web requests. The Catalog of fishes is the leading authority in fish taxonomy. Functions in the package allow users to search for fish taxa and valid names, retrieve taxonomic references, retrieve monthly taxonomic changes, obtain natural history collection information, and see the number of species by taxonomic group. For more information on the Catalog: Fricke, R., Eschmeyer, W. N. & R. van der Laan (eds) 2025. ESCHMEYER'S CATALOG OF FISHES <https://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp>.
Author: Samuel R. Borstein [aut, cre], Brandon Dominy [aut], Brian O'Meara [aut]
Maintainer: Samuel R. Borstein <sam@borstein.com>

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Package MPTmultiverse readmission to version 0.4-3 with previous version 0.4-2 dated 2020-06-24

Title: Multiverse Analysis of Multinomial Processing Tree Models
Description: Statistical or cognitive modeling usually requires a number of more or less arbitrary choices creating one specific path through a 'garden of forking paths'. The multiverse approach (Steegen, Tuerlinckx, Gelman, & Vanpaemel, 2016, <doi:10.1177/1745691616658637>) offers a principled alternative in which results for all possible combinations of reasonable modeling choices are reported. MPTmultiverse performs a multiverse analysis for multinomial processing tree (MPT, Riefer & Batchelder, 1988, <doi:10.1037/0033-295X.95.3.318>) models combining maximum-likelihood/frequentist and Bayesian estimation approaches with different levels of pooling (i.e., data aggregation) as described in Singmann et al. (2024, <doi:10.1037/bul0000434>). For the frequentist approaches, no pooling (with and without parametric or nonparametric bootstrap) and complete pooling are implemented using MPTinR <https://cran.r-project.org/package=MPTinR>. For the Bayesian approaches, no poo [...truncated...]
Author: Henrik Singmann [aut, cre] , Daniel W. Heck [aut], Marius Barth [aut] , Frederik Aust [ctb]
Maintainer: Henrik Singmann <singmann@gmail.com>

This is a re-admission after prior archival of version 0.4-2 dated 2020-06-24

Diff between MPTmultiverse versions 0.4-2 dated 2020-06-24 and 0.4-3 dated 2026-02-16

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Package ez readmission to version 4.5-0 with previous version 4.4-0 dated 2016-11-02

Title: Easy Analysis and Visualization of Factorial Experiments
Description: Facilitates easy analysis of factorial experiments, including purely within-Ss designs (a.k.a. "repeated measures"), purely between-Ss designs, and mixed within-and-between-Ss designs. The functions in this package aim to provide simple, intuitive and consistent specification of data analysis and visualization. Visualization functions also include design visualization for pre-analysis data auditing, and correlation matrix visualization. Finally, this package includes functions for non-parametric analysis, including permutation tests and bootstrap resampling. The bootstrap function obtains predictions either by cell means or by more advanced/powerful mixed effects models, yielding predictions and confidence intervals that may be easily visualized at any level of the experiment's design.
Author: Michael A. Lawrence [aut], Valentin Koob [cre]
Maintainer: Valentin Koob <v.koob@web.de>

This is a re-admission after prior archival of version 4.4-0 dated 2016-11-02

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Package bunddev updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-13

Title: Discover and Call 'Bund.dev' APIs
Description: Provides a registry of APIs listed on <https://bund.dev> and a core 'OpenAPI' client layer to explore specs and perform requests. Adapter helpers return tidy tibbles for supported APIs, with optional response caching and rate limiting guidance.
Author: Michael Buecker [aut, cre]
Maintainer: Michael Buecker <michael.buecker@fh-muenster.de>

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Package DrugExposureDiagnostics updated to version 1.1.6 with previous version 1.1.5 dated 2025-09-16

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Theresa Burkard [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package CDMConnector updated to version 2.4.0 with previous version 2.3.0 dated 2026-01-10

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Adam Black [aut, cre] , Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut], Ioanna Nika [aut]
Maintainer: Adam Black <ablack3@gmail.com>

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Package unigd readmission to version 0.2.0 with previous version 0.1.3 dated 2025-02-19

Title: Universal Graphics Device
Description: A unified R graphics backend. Render R graphics fast and easy to many common file formats. Provides a thread safe 'C' interface for asynchronous rendering of R graphics.
Author: Florian Rupprecht [aut, cre] , Kun Ren [ctb], Tatsuya Shima [ctb], Jeroen Ooms [ctb] , Hadley Wickham [cph] , Lionel Henry [cph] , Thomas Lin Pedersen [cph] , T Jake Luciani [cph] , Matthieu Decorde [cph] , Vaudor Lise [cph] , Tony Plate [cph] , Davi [...truncated...]
Maintainer: Florian Rupprecht <floruppr@gmail.com>

This is a re-admission after prior archival of version 0.1.3 dated 2025-02-19

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Package DiscreteTests updated to version 0.3.0 with previous version 0.2.1 dated 2024-10-27

Title: Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests
Description: Provides vectorised functions for computing p-values of various common discrete statistical tests, as described e.g. in Agresti (2002) <doi:10.1002/0471249688>, including their distributions. Exact and approximate computation methods are provided. For exact ones, several procedures of determining two-sided p-values are included, which are outlined in more detail in Hirji (2006) <doi:10.1201/9781420036190>.
Author: Florian Junge [cre, aut] , Christina Kihn [aut], Sebastian Doehler [ctb] , Guillermo Durand [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

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Package SafeMapper (with last version 1.0.0) was removed from CRAN

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

2026-01-31 1.0.0

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Package tweedie updated to version 3.0.14 with previous version 3.0.12 dated 2026-02-07

Title: Evaluation of Tweedie Exponential Family Models
Description: Maximum likelihood computations for Tweedie families, including the series expansion (Dunn and Smyth, 2005; <doi:10.1007/s11222-005-4070-y>) and the Fourier inversion (Dunn and Smyth, 2008; <doi:10.1007/s11222-007-9039-6>), and related methods.
Author: Peter K. Dunn [cre, aut]
Maintainer: Peter K. Dunn <pdunn2@usc.edu.au>

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Package multcompView updated to version 0.1-11 with previous version 0.1-10 dated 2024-03-07

Title: Visualizations of Paired Comparisons
Description: Convert a logical vector or a vector of p-values or a correlation, difference, or distance matrix into a display identifying the pairs for which the differences were not significantly different. Designed for use in conjunction with the output of functions like TukeyHSD, dist (stats), simint, simtest, csimint, csimtest (multcomp), friedmanmc, kruskalmc (pgirmess).
Author: Spencer Graves [aut], Hans-Peter Piepho [aut], Luciano Selzer [aut, cre], Sundar Dorai-Raj [ctb]
Maintainer: Luciano Selzer <luciano.selzer@gmail.com>

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Package fabletools updated to version 0.6.1 with previous version 0.6.0 dated 2026-02-09

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut], Earo Wang [aut] , Di Cook [ctb], George Athanasopoulos [ctb], David Holt [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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