Wed, 25 Feb 2026

Package tabs readmission to version 0.2.0 with previous version 0.1.1 dated 2025-04-29

Title: Temporal Altitudinal Biogeographic Shifts
Description: A standardized workflow to reconstruct spatial configurations of altitude-bounded biogeographic systems over time. For example, 'tabs' can model how island archipelagos expand or contract with changing sea levels or how alpine biomes shift in response to tree line movements. It provides functionality to account for various geophysical processes such as crustal deformation and other tectonic changes, allowing for a more accurate representation of biogeographic system dynamics. For more information see De Groeve et al. (2025) <doi:10.21425/fob.18.151677>.
Author: Johannes De Groeve [aut, cre] , Sietze Norder [aut] , Eline Sterre Rentier [aut] , Suzette Flantua [ctb] , Kenneth Rijsdijk [ctb]
Maintainer: Johannes De Groeve <j.degroeve@uva.nl>

This is a re-admission after prior archival of version 0.1.1 dated 2025-04-29

Diff between tabs versions 0.1.1 dated 2025-04-29 and 0.2.0 dated 2026-02-25

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Package spatialCatalogueViewer readmission to version 0.2.0 with previous version 0.1.3 dated 2025-08-27

Title: A 'Shiny' Tool to Create Interactive Catalogues for Geospatial Data
Description: Seamlessly create interactive online catalogues for geospatial data. Items can be mapped as points or areas and retrieved using either a map or a dynamic table with search form and optional column filters.
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

This is a re-admission after prior archival of version 0.1.3 dated 2025-08-27

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Package gmgm updated to version 1.1.3 with previous version 1.1.2 dated 2022-09-08

Title: Gaussian Mixture Graphical Model Learning and Inference
Description: Gaussian mixture graphical models include Bayesian networks and dynamic Bayesian networks (their temporal extension) whose local probability distributions are described by Gaussian mixture models. They are powerful tools for graphically and quantitatively representing nonlinear dependencies between continuous variables. This package provides a complete framework to create, manipulate, learn the structure and the parameters, and perform inference in these models. Most of the algorithms are described in the PhD thesis of Roos (2018) <https://theses.hal.science/tel-01943718>.
Author: Jeremy Roos [aut, cre, cph], RATP Group [fnd, cph]
Maintainer: Jeremy Roos <jeremy.roos@gmail.com>

Diff between gmgm versions 1.1.2 dated 2022-09-08 and 1.1.3 dated 2026-02-25

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Package fastcmprsk readmission to version 1.26.1 with previous version 1.24.10 dated 2024-10-28

Title: Fine-Gray Regression via Forward-Backward Scan
Description: In competing risks regression, the proportional subdistribution hazards (PSH) model is popular for its direct assessment of covariate effects on the cumulative incidence function. This package allows for both penalized and unpenalized PSH regression in linear time using a novel forward-backward scan. Penalties include Ridge, Lease Absolute Shrinkage and Selection Operator (LASSO), Smoothly Clipped Absolute Deviation (SCAD), Minimax Concave Plus (MCP), and elastic net <doi: 10.32614/RJ-2021-010>.
Author: Eric S. Kawaguchi [aut, cre]
Maintainer: Eric S. Kawaguchi <ekawaguc@usc.edu>

This is a re-admission after prior archival of version 1.24.10 dated 2024-10-28

Diff between fastcmprsk versions 1.24.10 dated 2024-10-28 and 1.26.1 dated 2026-02-25

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Package easyViz updated to version 2.0.2 with previous version 2.0.1 dated 2026-01-24

Title: Easy Visualization of Conditional Effects from Regression Models
Description: Offers a flexible and user-friendly interface for visualizing conditional effects from a broad range of regression models, including mixed-effects and generalized additive (mixed) models. Compatible model types include lm(), rlm(), glm(), glm.nb(), betareg(), and gam() (from 'mgcv'); nonlinear models via nls(); generalized least squares via gls(); and survival models via coxph() (from 'survival'). Mixed-effects models with random intercepts and/or slopes can be fitted using lmer(), glmer(), glmer.nb(), glmmTMB(), or gam() (from 'mgcv', via smooth terms). Plots are rendered using base R graphics with extensive customization options. Approximate confidence intervals for nls() and betareg() models are computed using the delta method. Robust standard errors for rlm() are computed using the sandwich estimator (Zeileis 2004) <doi:10.18637/jss.v011.i10>. For beta regression using 'betareg', see Cribari-Neto and Zeileis (2010) <doi:10.18637/jss.v034.i02>. For mixed-effects models w [...truncated...]
Author: Luca Corlatti [aut, cre]
Maintainer: Luca Corlatti <lucac1980@yahoo.it>

Diff between easyViz versions 2.0.1 dated 2026-01-24 and 2.0.2 dated 2026-02-25

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Package checked updated to version 0.5.1 with previous version 0.5.0 dated 2026-02-20

Title: Systematically Run R CMD Checks
Description: Systematically Run R checks against multiple packages. Checks are run in parallel with strategies to minimize dependency installation. Provides out of the box interface for running reverse dependency check.
Author: Szymon Maksymiuk [cre, aut] , Doug Kelkhoff [aut] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Szymon Maksymiuk <sz.maksymiuk@gmail.com>

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Package BayesianMCPMod updated to version 1.3.1 with previous version 1.3.0 dated 2026-02-23

Title: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod
Description: Bayesian MCPMod (Fleischer et al. (2022) <doi:10.1002/pst.2193>) is an innovative method that improves the traditional MCPMod by systematically incorporating historical data, such as previous placebo group data. This package offers functions for simulating, analyzing, and evaluating Bayesian MCPMod trials with normally and binary distributed endpoints. It enables the assessment of trial designs incorporating historical data across various true dose-response relationships and sample sizes. Robust mixture prior distributions, such as those derived with the Meta-Analytic-Predictive approach (Schmidli et al. (2014) <doi:10.1111/biom.12242>), can be specified for each dose group. Resulting mixture posterior distributions are used in the Bayesian Multiple Comparison Procedure and modeling steps. The modeling step also includes a weighted model averaging approach (Pinheiro et al. (2014) <doi:10.1002/sim.6052>). Estimated dose-response relationships can be bootstrapped and v [...truncated...]
Author: Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd], Stephan Wojciekowski [aut, cre], Lars Andersen [aut], Jonas Schick [ctb], Sebastian Bossert [aut]
Maintainer: Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>

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Package mapmisc updated to version 2.1.3 with previous version 2.1.2 dated 2026-01-12

Title: Utilities for Producing Maps
Description: Provides a minimal, light-weight set of tools for producing nice looking maps in R, with support for map projections. See Brown (2016) <doi:10.32614/RJ-2016-005>.
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between mapmisc versions 2.1.2 dated 2026-01-12 and 2.1.3 dated 2026-02-25

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Package ganttify updated to version 0.2.2 with previous version 0.2.1 dated 2026-01-22

Title: Create Interactive Gantt Charts with Work Breakdown Structure
Description: Create Primavera-style interactive Gantt charts with Work Breakdown Structure (WBS) hierarchy and activities. Features include color-coded WBS items, indented labels, scrollable views for large projects, dynamic date formatting, and the ability to dim past activities. Built on top of 'plotly' for interactive visualizations.
Author: Ahmed Aredah [aut, cre]
Maintainer: Ahmed Aredah <Ahmed.Aredah@gmail.com>

Diff between ganttify versions 0.2.1 dated 2026-01-22 and 0.2.2 dated 2026-02-25

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Package connectapi updated to version 0.11.0 with previous version 0.10.0 dated 2026-01-16

Title: Utilities for Interacting with the 'Posit Connect' Server API
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
Author: Kara Woo [aut, cre], Toph Allen [aut], Neal Richardson [aut], Sean Lopp [aut], Cole Arendt [aut], Posit, PBC [cph, fnd]
Maintainer: Kara Woo <kara.woo@posit.co>

Diff between connectapi versions 0.10.0 dated 2026-01-16 and 0.11.0 dated 2026-02-25

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Package shinytest2 updated to version 0.5.1 with previous version 0.5.0 dated 2026-01-09

Title: Testing for Shiny Applications
Description: Automated unit testing of Shiny applications through a headless 'Chromium' browser.
Author: Barret Schloerke [cre, aut] , Posit Software, PBC [cph, fnd] , Winston Chang [ctb] , Gabor Csardi [ctb] , Hadley Wickham [ctb] , Mango Solutions [cph, ccp]
Maintainer: Barret Schloerke <barret@posit.co>

Diff between shinytest2 versions 0.5.0 dated 2026-01-09 and 0.5.1 dated 2026-02-25

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New package HaploDiploidEquilibrium with initial version 0.1.0
Package: HaploDiploidEquilibrium
Title: Calculate F Statistics Using Mixed Haploid and Diploid Organism Data
Version: 0.1.0
Description: Provides functions to estimate population genetics summary statistics from haplo-diploid systems, where one sex is haploid and the other diploid (e.g. Hymenoptera insects). It implements a theoretical model assuming equal sex ratio, random mating, no selection, no mutation, and no gene flow, deriving expected genotype frequencies for both sexes under these equilibrium conditions. The package includes windowed calculations (operating over genomic sliding windows from VCF input) for allele and genotype frequencies, the inbreeding coefficient (Fis), pairwise Fst, Nei's H (gene diversity), Watterson's Theta, and sex-specific reference allele frequencies. Most statistics are agnostic to ploidy, allowing the package to be applied to both strictly haplo-diploid and fully diploid systems.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, vcfR, data.table, matrixStats
NeedsCompilation: no
Packaged: 2026-02-21 13:10:42 UTC; francisco
Author: Paulo Sousa [aut], Francisco Pina-Martins [cre, aut]
Maintainer: Francisco Pina-Martins <f.pinamartins@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 19:30:12 UTC

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New package countyhealthR with initial version 0.1.3
Package: countyhealthR
Title: Programmatic Access to County Health Rankings & Roadmaps Data
Version: 0.1.3
Maintainer: Hannah Olson-Williams <hannaheow@gmail.com>
Description: Provides a simple interface to pull County Health Rankings & Roadmaps (CHR&R) county-level health data and metadata directly from 'Zenodo' <doi:10.5281/zenodo.18157681>. Users can retrieve data for CHR&R release years 2010 through 2025. CHR&R data support research and decision-making to promote health equity and policies that help all communities thrive.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/County-Health-Rankings-and-Roadmaps/countyhealthR
BugReports: https://github.com/County-Health-Rankings-and-Roadmaps/countyhealthR/issues
Imports: dplyr, magrittr, readr, httr, stringr, jsonlite, rappdirs, curl, rlang
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-02-21 05:15:41 UTC; holsonwillia
Author: Hannah Olson-Williams [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-25 19:20:02 UTC

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New package bracketeer with initial version 0.1.1
Package: bracketeer
Title: Tournament Generator
Version: 0.1.1
Description: Create and manage tournament brackets for various competition formats including single elimination, double elimination, round robin, Swiss system, and group-stage-to-knockout tournaments. Provides tools for seeding, scheduling, recording results, and tracking standings.
URL: https://github.com/bbtheo/bracketeer, https://bbtheo.github.io/bracketeer/
BugReports: https://github.com/bbtheo/bracketeer/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-21 10:44:47 UTC; theo
Author: Theo Blauberg [aut, cre, cph]
Maintainer: Theo Blauberg <theo.blauberg@outlook.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-02-25 19:20:07 UTC

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New package betaregscale with initial version 2.6.9
Package: betaregscale
Title: Beta Regression for Interval-Censored Scale-Derived Outcomes
Version: 2.6.9
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>
Description: Maximum-likelihood estimation of beta regression models for responses derived from bounded rating scales. Observations are treated as interval-censored on (0, 1) after a scale-to-unit transformation, and the likelihood is built from the difference of the beta CDF at the interval endpoints. The complete likelihood supports mixed censoring types: uncensored, left-censored, right-censored, and interval-censored observations. Both fixed- and variable-dispersion submodels are supported, with flexible link functions for the mean and precision components. A compiled C++ backend (via 'Rcpp' and 'RcppArmadillo') provides numerically stable, high-performance log-likelihood evaluation. Standard S3 methods (print(), summary(), coef(), fitted(), residuals(), predict(), plot(), confint(), vcov(), logLik(), AIC(), BIC()) are available for fitted objects.
License: MIT + file LICENSE
URL: https://evandeilton.github.io/betaregscale/
BugReports: https://github.com/evandeilton/betaregscale/issues
Depends: R (>= 4.1.0)
Imports: Formula, ggplot2, numDeriv, Rcpp (>= 1.0.12), rlang, stats
Suggests: betareg, gridExtra, knitr, MASS, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-02-21 22:00:48 UTC; jlopes
Author: Jose Evandeilton Lopes [aut, cre] , Wagner Hugo Bonat [aut]
Repository: CRAN
Date/Publication: 2026-02-25 19:30:02 UTC

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New package tReeTraits with initial version 0.1.2
Package: tReeTraits
Title: Calculate Tree Traits from Terrestrial Lidar
Version: 0.1.2
Description: Measuring tree architecture from terrestrial lidar data, including tree-level properties, crown characteristics, and structural attributes derived from quantitative structure models (QSMs).
License: GPL-3
Encoding: UTF-8
Imports: data.table, lidR, dplyr, ggplot2, ggpubr, recexcavAAR, rlang, sf, spanner, terra, tibble, reticulate, CrownScorchTLS, FNN, alphashape3d, ggplotify, rgl, stats, stringr, readr
NeedsCompilation: no
Packaged: 2026-02-20 23:51:24 UTC; jeffery.cannon
Author: Jeffery B. Cannon [aut, cre]
Maintainer: Jeffery B. Cannon <jeffery.cannon@jonesctr.org>
Repository: CRAN
Date/Publication: 2026-02-25 19:00:02 UTC

More information about tReeTraits at CRAN
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New package sqlfluffr with initial version 0.1.0
Package: sqlfluffr
Title: Wrapper to the 'SQL' Linter and Formatter 'sqlfluff'
Version: 0.1.0
Description: An R interface to the 'Python' 'sqlfluff' 'SQL' linter and formatter via the 'reticulate' package. Enables linting, fixing, and parsing of 'SQL' queries with support for multiple dialects. Includes special handling for 'glue' 'SQL' syntax with curly-brace placeholders.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: reticulate
Suggests: testthat (>= 3.2.0), glue, rstudioapi, withr
URL: https://github.com/brendensm/sqlfluffr
BugReports: https://github.com/brendensm/sqlfluffr/issues
NeedsCompilation: no
Packaged: 2026-02-20 20:49:41 UTC; b
Author: Brenden Smith [aut, cre, cph]
Maintainer: Brenden Smith <brendensmithmi@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 18:50:03 UTC

More information about sqlfluffr at CRAN
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Package rsynthbio updated to version 4.1.0 with previous version 4.0.1 dated 2026-02-13

Title: Synthesize Bio API Wrapper
Description: Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.
Author: Synthesize Bio [aut, cre]
Maintainer: Synthesize Bio <candace@synthesize.bio>

Diff between rsynthbio versions 4.0.1 dated 2026-02-13 and 4.1.0 dated 2026-02-25

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Package RivRetrieve updated to version 0.1.8 with previous version 0.1.7 dated 2026-02-18

Title: Retrieve Global River Gauge Data
Description: Provides access to global river gauge data from a variety of national-level river agencies. The package interfaces with the national-level agency websites to provide access to river gauge locations, river discharge, and river stage. Currently, the package is available for the following countries: Australia, Brazil, Canada, Chile, France, Japan, South Africa, the United Kingdom, and the United States.
Author: Ryan Riggs [aut, cre] , Simon Moulds [aut] , Michel Wortmann [aut] , Louise Slater [aut] , George Allen [aut]
Maintainer: Ryan Riggs <ryanriggs7@gmail.com>

Diff between RivRetrieve versions 0.1.7 dated 2026-02-18 and 0.1.8 dated 2026-02-25

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New package dress.graph with initial version 0.1.2
Package: dress.graph
Title: Diffusive Recursive Structural Similarity on Graphs
Version: 0.1.2
Description: Compute per-edge similarity values on graphs using the DRESS (Diffusive Recursive Structural Similarity) algorithm. Supports weighted/unweighted and directed/undirected graphs. Iterative fixed-point fitting converges to stable edge scores that capture neighbourhood overlap structure.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: OpenMP
Packaged: 2026-02-21 00:21:19 UTC; velic
Author: Eduar Castrillo Velilla [aut, cre]
Maintainer: Eduar Castrillo Velilla <velicast@outlook.com>
Repository: CRAN
Date/Publication: 2026-02-25 19:00:08 UTC

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Package unityForest updated to version 0.2.0 with previous version 0.1.0 dated 2026-01-30

Title: Improving Interaction Modelling and Interpretability in Random Forests
Description: Implementation of the unity forest (UFO) framework (Hornung & Hapfelmeier, 2026, <doi:10.48550/arXiv.2601.07003>). UFOs are a random forest variant designed to better take covariates with purely interaction-based effects into account, including interactions for which none of the involved covariates exhibits a marginal effect. While this framework tends to improve discrimination and predictive accuracy compared to standard random forests, it also facilitates the identification and interpretation of (marginal or interactive) effects: In addition to the UFO algorithm for tree construction, the package includes the unity variable importance measure (unity VIM), which quantifies covariate effects under the conditions in which they are strongest - either marginally or within subgroups defined by interactions - as well as covariate-representative tree roots (CRTRs) that provide interpretable visualizations of these conditions. Categorical and continuous outcomes are supported. This [...truncated...]
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>

Diff between unityForest versions 0.1.0 dated 2026-01-30 and 0.2.0 dated 2026-02-25

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Package volesti updated to version 1.1.2-10 with previous version 1.1.2-9 dated 2025-04-29

Title: Volume Approximation and Sampling of Convex Polytopes
Description: Provides an R interface for 'volesti' C++ package. 'volesti' computes estimations of volume of polytopes given by (i) a set of points, (ii) linear inequalities or (iii) Minkowski sum of segments (a.k.a. zonotopes). There are three algorithms for volume estimation as well as algorithms for sampling, rounding and rotating polytopes. Moreover, 'volesti' provides algorithms for estimating copulas useful in computational finance. Methods implemented in 'volesti' are described in A. Chalkis and V. Fisikopoulos (2022) <doi:10.32614/RJ-2021-077> and references therein.
Author: Vissarion Fisikopoulos [aut, cre, cph] , Apostolos Chalkis [aut, cph]
Maintainer: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com>

Diff between volesti versions 1.1.2-9 dated 2025-04-29 and 1.1.2-10 dated 2026-02-25

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Package shinyCohortBuilder updated to version 0.4.0 with previous version 0.3.1 dated 2024-10-14

Title: Modular Cohort-Building Framework for Analytical Dashboards
Description: You can easily add advanced cohort-building component to your analytical dashboard or simple 'Shiny' app. Then you can instantly start building cohorts using multiple filters of different types, filtering datasets, and filtering steps. Filters can be complex and data-specific, and together with multiple filtering steps you can use complex filtering rules. The cohort-building sidebar panel allows you to easily work with filters, add and remove filtering steps. It helps you with handling missing values during filtering, and provides instant filtering feedback with filter feedback plots. The GUI panel is not only compatible with native shiny bookmarking, but also provides reproducible R code.
Author: Krystian Igras [cre, aut], Kamil Wais [aut], Adam Forys [ctb]
Maintainer: Krystian Igras <krystian8207@gmail.com>

Diff between shinyCohortBuilder versions 0.3.1 dated 2024-10-14 and 0.4.0 dated 2026-02-25

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Package saemix updated to version 3.5 with previous version 3.4 dated 2025-07-31

Title: Stochastic Approximation Expectation Maximization (SAEM) Algorithm
Description: The 'saemix' package implements the Stochastic Approximation EM algorithm for parameter estimation in (non)linear mixed effects models. It (i) computes the maximum likelihood estimator of the population parameters, without any approximation of the model (linearisation, quadrature approximation,...), using the Stochastic Approximation Expectation Maximization (SAEM) algorithm, (ii) provides standard errors for the maximum likelihood estimator (iii) estimates the conditional modes, the conditional means and the conditional standard deviations of the individual parameters, using the Hastings-Metropolis algorithm (see Comets et al. (2017) <doi:10.18637/jss.v080.i03>). Many applications of SAEM in agronomy, animal breeding and PKPD analysis have been published by members of the Monolix group. The full PDF documentation for the package including references about the algorithm and examples can be downloaded on the github of the IAME research institute for 'saemix': <https://github.co [...truncated...]
Author: Emmanuelle Comets [aut, cre], Audrey Lavenu [aut], Marc Lavielle [aut], Belhal Karimi [aut], Maud Delattre [ctb], Alexandra Lavalley-Morelle [ctb], Marilou Chanel [ctb], Johannes Ranke [ctb] , Sofia Kaisaridi [ctb], Lucie Fayette [ctb]
Maintainer: Emmanuelle Comets <emmanuelle.comets@inserm.fr>

Diff between saemix versions 3.4 dated 2025-07-31 and 3.5 dated 2026-02-25

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Package kollaR updated to version 1.1.3 with previous version 1.1.2 dated 2025-09-19

Title: Event Classification, Visualization and Analysis of Eye Tracking Data
Description: Functions for analysing eye tracking data, including event detection, visualizations and area of interest (AOI) based analyses. The package includes implementations of the IV-T, I-DT, adaptive velocity threshold, and Identification by two means clustering (I2MC) algorithms. See separate documentation for each function. The principles underlying I-VT and I-DT algorithms are described in Salvucci & Goldberg (2000) <doi:10.1145/355017.355028>. Two-means clustering is described in Hessels et al. (2017), <doi: 10.3758/s13428-016-0822-1>. The adaptive velocity threshold algorithm is described in Nyström & Holmqvist (2010),<doi:10.3758/BRM.42.1.188>. A documentation of the 'kollaR' can be found in Kleberg et al (2026) <doi:10.3758/s13428-025-02903-z>. Cite this paper when using 'kollaR' See a demonstration in the URL.
Author: Johan Lundin Kleberg [aut, cre]
Maintainer: Johan Lundin Kleberg <johan.lundin.kleberg@su.se>

Diff between kollaR versions 1.1.2 dated 2025-09-19 and 1.1.3 dated 2026-02-25

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Package epidm updated to version 1.0.6 with previous version 1.0.4 dated 2022-07-11

Title: UK Epidemiological Data Management
Description: Contains utilities and functions for the cleaning, processing and management of patient level public health data for surveillance and analysis held by the UK Health Security Agency, UKHSA.
Author: Alice Graham [aut] , Harshana Liyanage [aut] , Frederick Sloots [aut, cre] , Emma Parker [aut] , Alex Bhattacharya [aut]
Maintainer: Frederick Sloots <frederick.sloots@ukhsa.gov.uk>

Diff between epidm versions 1.0.4 dated 2022-07-11 and 1.0.6 dated 2026-02-25

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New package hydrodownloadR with initial version 0.1.3
Package: hydrodownloadR
Title: Hydrologic Station Catalogs and Time Series from Public APIs
Version: 0.1.3
Description: Provides a unified, extensible interface to discover hydrologic stations and download daily time series (e.g., water discharge, water level, water temperature, and several other water quality parameter) from national and regional public APIs. Includes a provider registry, S3 generics 'stations' and 'timeseries', licensing metadata, date-range and 'complete history' modes, rate limiting and retries, optional authentication via environment variables, tidy outputs, UTF-8 to ASCII transliteration, and WGS84 coordinates. Designed for reproducible workflows and straightforward addition of new providers. Background and use cases are described in Farber et al. (2025) <doi:10.5194/essd-17-4613-2025> and Farber et al. (2023) <doi:10.57757/IUGG23-2838>.
License: MIT + file LICENSE
URL: https://bafg-bund.github.io/hydrodownloadR/, https://github.com/bafg-bund/hydrodownloadR
BugReports: https://github.com/bafg-bund/hydrodownloadR/issues
Depends: R (>= 4.1.0)
Imports: cli, dataRetrieval, DBI, dplyr, httr, httr2, jsonlite, lubridate, pdftools, progress, rappdirs, ratelimitr, rlang, RSQLite, sf, magrittr, tibble, cellranger, stringi, stringr
Suggests: odbc, purrr, readr, readxl, rvest, tidyr, tidyselect, xml2, cachem, curl, memoise, testthat (>= 3.0.0), writexl
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-02-20 08:32:10 UTC; Plessow
Author: Henning Plessow [aut, cre], Global Runoff Data Centre [ctb]
Maintainer: Henning Plessow <h.plessow@googlemail.com>
Repository: CRAN
Date/Publication: 2026-02-25 12:30:02 UTC

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Package gitgadget (with last version 0.8.2) was removed from CRAN

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

2025-04-06 0.8.2
2023-08-24 0.8.1

Permanent link
Package wordvector updated to version 0.6.1 with previous version 0.6.0 dated 2025-12-09

Title: Word and Document Vector Models
Description: Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546>, Doc2vec (Le & Mikolov, 2014) <doi:10.48550/arXiv.1405.4053> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.
Author: Kohei Watanabe [aut, cre, cph] , Jan Wijffels [aut] , BNOSAC [cph] , Max Fomichev [ctb, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package TukeyC updated to version 1.3-44 with previous version 1.3-43 dated 2025-04-10

Title: Conventional Tukey Test
Description: Provides tools to perform multiple comparison analyses, based on the well-known Tukey's "Honestly Significant Difference" (HSD) test. In models involving interactions, 'TukeyC' stands out from other R packages by implementing intuitive and easy-to-use functions. In addition to accommodating traditional R methods such as lm() and aov(), it has also been extended to objects of the lmer() class, that is, mixed models with fixed effects. For more details see Tukey (1949) <doi:10.2307/3001913>.
Author: Jose C. Faria [aut], Enio G. Jelihovschi [aut], Ivan B. Allaman [aut, cre]
Maintainer: Ivan B. Allaman <ivanalaman@gmail.com>

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Package propagate updated to version 1.1-0 with previous version 1.0-7 dated 2025-05-27

Title: Propagation of Uncertainty
Description: Propagation of uncertainty using higher-order Taylor expansion and Monte Carlo simulation. Calculations of propagated uncertainties are based on matrix calculus including covariance structure according to Arras 1998 <doi:10.3929/ethz-a-010113668> (first order), Wang & Iyer 2005 <doi:10.1088/0026-1394/42/5/011> (second order) and BIPM Supplement 1 (Monte Carlo) <doi:10.59161/JCGM101-2008>.
Author: Andrej-Nikolai Spiess [aut, cre]
Maintainer: Andrej-Nikolai Spiess <draspiess@gmail.com>

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Package polySegratioMM updated to version 0.6-5 with previous version 0.6-4 dated 2018-03-23

Title: Bayesian Mixture Models for Marker Dosage in Autopolyploids
Description: Fits Bayesian mixture models to estimate marker dosage for dominant markers in autopolyploids using JAGS (1.0 or greater) as outlined in Baker et al "Bayesian estimation of marker dosage in sugarcane and other autopolyploids" (2010, <doi:10.1007/s00122-010-1283-z>). May be used in conjunction with polySegratio for simulation studies and comparison with standard methods.
Author: Peter Baker [aut, cre]
Maintainer: Peter Baker <drpetebaker@gmail.com>

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Package fastkmedoids updated to version 1.4 with previous version 1.3 dated 2026-02-24

Title: Faster K-Medoids Clustering Algorithms: FastPAM, FastCLARA, FastCLARANS
Description: R wrappers of C++ implementation of Faster K-Medoids clustering algorithms (FastPAM, FastCLARA and FastCLARANS) proposed in Erich Schubert, Peter J. Rousseeuw 2019 <doi:10.1007/978-3-030-32047-8_16>.
Author: Xun Li [aut, cre]
Maintainer: Xun Li <lixun910@gmail.com>

Diff between fastkmedoids versions 1.3 dated 2026-02-24 and 1.4 dated 2026-02-25

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Package ethnobotanyR updated to version 0.2.0 with previous version 0.1.9 dated 2022-12-17

Title: Ethnobotanical Analysis, Decision-Framing, and TEK Modeling
Description: Tools for quantifying Traditional Ecological Knowledge (TEK), modeling TEK in decision frameworks, and designing structured decision-framing exercises in conservation and development contexts. The package implements quantitative ethnobotany indices (Use Value, Relative Frequency of Citation, etc.) but positions them within a larger framework of Bayesian modeling and participatory decision analysis. Includes critical assessment of indices' limitations and case studies of participatory workshops.
Author: Cory Whitney [aut, cre]
Maintainer: Cory Whitney <whitney.cory@gmail.com>

Diff between ethnobotanyR versions 0.1.9 dated 2022-12-17 and 0.2.0 dated 2026-02-25

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Package emery updated to version 0.7.1 with previous version 0.7.0 dated 2026-02-22

Title: Accuracy Statistic Estimation for Imperfect Gold Standards
Description: Produce maximum likelihood estimates of common accuracy statistics for multiple measurement methods when a gold standard is not available. An R implementation of the expectation maximization algorithms described in Zhou et al. (2011) <doi:10.1002/9780470906514> with additional functions for creating simulated data and visualizing results. Supports binary, ordinal, and continuous measurement methods.
Author: Corie Drake [aut, cre, cph]
Maintainer: Corie Drake <therealcfdrake@gmail.com>

Diff between emery versions 0.7.0 dated 2026-02-22 and 0.7.1 dated 2026-02-25

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Package cctest updated to version 2.3.1 with previous version 2.3.0 dated 2026-02-20

Title: Canonical Correlations and Tests of Independence
Description: A simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.
Author: Robert Schlicht [aut, cre]
Maintainer: Robert Schlicht <robert.schlicht@tu-dresden.de>

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Package binr updated to version 1.1.2 with previous version 1.1.1 dated 2022-06-26

Title: Cut Numeric Values into Evenly Distributed Groups
Description: Package binr (pronounced as "binner") provides algorithms for cutting numerical values exhibiting a potentially highly skewed distribution into evenly distributed groups (bins). This functionality can be applied for binning discrete values, such as counts, as well as for discretization of continuous values, for example, during generation of features used in machine learning algorithms.
Author: Sergei Izrailev [aut, cre]
Maintainer: Sergei Izrailev <sizrailev@jabiruventures.com>

Diff between binr versions 1.1.1 dated 2022-06-26 and 1.1.2 dated 2026-02-25

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New package strength with initial version 0.1.0
Package: strength
Title: Operations Designed for Tidy Strength Data
Version: 0.1.0
Description: Mappings for estimated one rep max from commonly used formulas. Convenience functions for turning mass/rep/set data into useful derived quantities.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1)
LazyData: true
Imports: cli, dplyr, tibble, tidyr
Suggests: testthat (>= 3.0.0)
URL: https://github.com/alexpaynter/strength
BugReports: https://github.com/alexpaynter/strength/issues
NeedsCompilation: no
Packaged: 2026-02-20 19:14:11 UTC; alex
Author: Alex Paynter [aut, cre, cph]
Maintainer: Alex Paynter <apaynter@pm.me>
Repository: CRAN
Date/Publication: 2026-02-25 10:40:02 UTC

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New package senseR with initial version 0.1.0
Package: senseR
Title: Proxy Indicator Diagnostic Tool for Analytical and Policy Use
Version: 0.1.0
Description: Provides statistical diagnostics to evaluate whether proxy indicators reliably represent an unobservable target construct. The main function 'senser()' assesses proxies across multiple dimensions including monotonicity, information content, stability, distributional alignment, and potential bias risk. It prints a concise, interpretable summary suitable for analytical and policy-oriented assessment, without claiming causal inference.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-20 08:14:35 UTC; BPS Prov Jawa Timur
Author: Joko Ade Nursiyono [aut, cre]
Maintainer: Joko Ade Nursiyono <jokoadenursiyono@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:10:02 UTC

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New package rtmpinvi with initial version 0.1.0
Package: rtmpinvi
Title: Interactive Tabular Matrix Problems via Pseudoinverse Estimation
Version: 0.1.0
Description: Provides an interactive wrapper for the 'tmpinv()' function from the 'rtmpinv' package with options extending its functionality to pre- and post-estimation processing and streamlined incorporation of prior cell information. The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2)
Imports: rtmpinv (>= 0.2.0)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/econcz/rtmpinvi
BugReports: https://github.com/econcz/rtmpinvi/issues
NeedsCompilation: no
Packaged: 2026-02-20 15:27:13 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2026-02-25 10:30:02 UTC

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New package ribiosPlot with initial version 1.3.0
Package: ribiosPlot
Title: Plotting Module of the 'ribios' Software Suite
Version: 1.3.0
Date: 2026-02-20
Description: Provides data structures and functions for data transformation and visualization in computational biology in drug discovery as part of the 'ribios' software suite. Zhang (2025) <https://github.com/bedapub/ribiosPlot>.
Depends: R (>= 3.4.0)
Imports: lattice, grDevices, RColorBrewer, grid, gridExtra, graphics, ribiosUtils, stats, ggplot2
Suggests: latticeExtra, ribiosArg, plotrix, MASS, testthat, knitr, rmarkdown
Enhances: Vennerable
License: GPL-3
URL: https://github.com/bedapub/ribiosPlot
BugReports: https://github.com/bedapub/ribiosPlot/issues
LazyLoad: yes
Encoding: UTF-8
Additional_repositories: https://bedapub.r-universe.dev
NeedsCompilation: no
Packaged: 2026-02-20 20:57:10 UTC; david
Author: Jitao David Zhang [aut, cre, ctb]
Maintainer: Jitao David Zhang <jitao_david.zhang@roche.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:50:02 UTC

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New package phymapnet with initial version 0.1.2
Package: phymapnet
Title: Phylogeny-Guided Bayesian Microbial Network Inference
Version: 0.1.2
Description: Implements a phylogeny-aware Bayesian graphical modeling framework for microbial network inference using a shrinkage precision estimator guided by a phylogenetic kernel, with optional hyperparameter-ensemble edge reliability analysis.
License: GPL-3
Encoding: UTF-8
Imports: stats, ape, GUniFrac, compositions
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-02-20 07:54:36 UTC; rosa
Author: Rosa Aghdam [aut, cre]
Maintainer: Rosa Aghdam <rosaaghdam@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:10:07 UTC

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New package nnetLM with initial version 1.0.1
Package: nnetLM
Title: Neural Network with Levenberg-Marquardt Optimization
Version: 1.0.1
Description: An implementation of a Neural Network using the Levenberg-Marquardt optimization from 'minpack.lm', ideal for small datasets. For more details see Moré (1978) <doi:10.1007/BFb0067700>.
License: MIT + file LICENSE
BugReports: https://github.com/umbe1987/nnetLM/issues
Imports: minpack.lm, stats
Encoding: UTF-8
URL: https://github.com/umbe1987/nnetLM
NeedsCompilation: no
Packaged: 2026-02-20 11:00:06 UTC; minorum
Author: Umberto Minora [aut, cre, cph]
Maintainer: Umberto Minora <umbertofilippo@tiscali.it>
Repository: CRAN
Date/Publication: 2026-02-25 10:10:12 UTC

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New package MultiDiscreteRNG with initial version 0.1.0
Package: MultiDiscreteRNG
Title: Generate Multivariate Discrete Data
Version: 0.1.0
Maintainer: Chak Kwong (Tommy) Cheng <ccheng46@uic.edu>
Description: Generate multivariate discrete data with generalized Poisson, negative binomial and binomial marginal distributions using user-specified distribution parameters and a target correlation matrix. The method is described in Cheng and Demirtas (2026) <doi:10.48550/arXiv.2602.07707>.
License: GPL-3
Encoding: UTF-8
Imports: GenOrd, Matrix, MultiOrd, matrixcalc, mvtnorm
URL: https://github.com/ckchengtommy/MultiDiscreteRNG
BugReports: https://github.com/ckchengtommy/MultiDiscreteRNG/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-20 14:02:43 UTC; tommycheng
Author: Chak Kwong Cheng [aut, cre, cph] , Hakan Demirtas [aut]
Repository: CRAN
Date/Publication: 2026-02-25 10:20:19 UTC

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New package miapack with initial version 0.1.0
Package: miapack
Title: Marginalization over Incomplete Auxiliaries
Version: 0.1.0
Maintainer: Sean McGrath <sean.mcgrath514@gmail.com>
Description: Implements methods to estimate conditional outcome means in settings with missingness-not-at-random and incomplete auxiliary variables. Specifically, this package implements the marginalization over incomplete auxiliaries (MIA) method. The package supports continuous and binary outcomes, and supports auxiliary variables that are normal, binary, and categorical.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/stmcg/miapack
BugReports: https://github.com/stmcg/miapack/issues
Imports: boot, nnet, progress
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-20 20:52:12 UTC; Sean
Author: Sean McGrath [aut, cre] , Shaun Seaman [aut] , Willi Zhang [aut] , Ilya Shpitser [aut] , Maya Mathur [aut]
Repository: CRAN
Date/Publication: 2026-02-25 10:50:08 UTC

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New package metasurvey with initial version 0.0.21
Package: metasurvey
Title: Reproducible Survey Data Processing with Step Pipelines
Version: 0.0.21
URL: https://metasurveyr.github.io/metasurvey/, https://github.com/metasurveyr/metasurvey
BugReports: https://github.com/metasurveyr/metasurvey/issues
Description: Provides a step-based pipeline for reproducible survey data processing, building on the 'survey' package for complex sampling designs. Supports rotating panels with bootstrap replicate weights, and provides a recipe system for sharing and reproducing data transformation workflows across survey editions.
License: GPL (>= 3)
Imports: data.table (>= 1.14.2), cli (>= 3.0.0), glue (>= 1.6.0), lifecycle (>= 1.0.0), jsonlite (>= 1.7.2), R6 (>= 2.5.0), survey (>= 4.2.1), methods
Suggests: archive, convey, httr2 (>= 1.0.0), haven, openxlsx, visNetwork (>= 2.0.9), roxygen2 (>= 7.1.2), testthat (>= 3.0.0), tibble (>= 3.1.3), dplyr (>= 1.0.7), knitr (>= 1.33), foreign (>= 0.8-81), rmarkdown (>= 2.11), parallel, rio (>= 0.5.27), here (>= 1.0.1), gt (>= 0.10.0), magrittr, shiny (>= 1.7.0), bslib (>= 0.5.0), bsicons (>= 0.1.0), htmltools (>= 0.5.0), xml2 (>= 1.3.0), eph, PNADcIBGE, ipumsr
Encoding: UTF-8
Depends: R (>= 4.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-20 17:09:34 UTC; mauroloprete
Author: Mauro Loprete [aut, cre] , Natalia da Silva [aut] , Fabricio Machado [aut]
Maintainer: Mauro Loprete <mauro.loprete@icloud.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:30:07 UTC

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New package jmSurface with initial version 0.1.0
Package: jmSurface
Title: Semi-Parametric Association Surfaces for Joint Longitudinal-Survival Models
Version: 0.1.0
Description: Implements interpretable multi-biomarker fusion in joint longitudinal-survival models via semi-parametric association surfaces. Provides a two-stage estimation framework where Stage 1 fits mixed-effects longitudinal models and extracts Best Linear Unbiased Predictors ('BLUP's), and Stage 2 fits transition-specific penalized Cox models with tensor-product spline surfaces linking latent biomarker summaries to transition hazards. Supports multi-state disease processes with transition-specific surfaces, Restricted Maximum Likelihood ('REML') smoothing parameter selection, effective degrees of freedom ('EDF') diagnostics, dynamic prediction of transition probabilities, and three interpretability visualizations (surface plots, contour heatmaps, marginal effect slices). Methods are described in Bhattacharjee (2025, under review).
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: nlme, survival, mgcv, stats, utils, graphics, grDevices
Suggests: lme4, ggplot2, viridis, plotly, shiny, shinydashboard, dplyr, tidyr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-20 15:08:08 UTC; atanu
Author: Atanu Bhattacharjee [aut, cre]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:20:02 UTC

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New package geographiclib with initial version 0.4.0
Package: geographiclib
Title: Access to 'GeographicLib'
Version: 0.4.0
Description: Bindings to the 'GeographicLib' C++ library <https://geographiclib.sourceforge.io/> for precise geodetic calculations including geodesic computations (distance, bearing, paths, intersections), map projections (UTM/UPS, Transverse Mercator, Lambert Conformal Conic, and more), grid reference systems (MGRS, Geohash, GARS, Georef), coordinate conversions (geocentric, local Cartesian), and polygon area on the WGS84 ellipsoid. All functions are fully vectorized.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: cpp11
URL: https://github.com/hypertidy/geographiclib
BugReports: https://github.com/hypertidy/geographiclib/issues
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2026-02-20 10:36:41 UTC; mdsumner
Author: Michael Sumner [cre, aut], Charles Karney [cph, aut] , Mark Borgerding [cph] )
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:10:17 UTC

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New package fiodata with initial version 0.0.1
Package: fiodata
Title: Regional and Multi-Regional Input-Output Data
Version: 0.0.1
Description: Provides Regional (Brazil, 2020) and Multi-Regional (World, 2000) input-output matrices for R. This package serves as a data-only companion to the 'fio' package, facilitating input-output analysis by providing standardized R6 data objects.
License: CC0
URL: https://github.com/albersonmiranda/fiodata
BugReports: https://github.com/albersonmiranda/fiodata/issues
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Suggests: fio
NeedsCompilation: no
Packaged: 2026-02-20 20:03:03 UTC; albersonmiranda
Author: Alberson da Silva Miranda [aut, cre, cph] , Celso Bissoli Sessa [aut, dtc]
Maintainer: Alberson da Silva Miranda <albersonmiranda@hotmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:40:07 UTC

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New package fastreg with initial version 0.8.17
Package: fastreg
Title: Fast Conversion and Querying of Danish Registers with 'Parquet'
Version: 0.8.17
Description: Converts large Danish register files ('sas7bdat') into 'Parquet' format with year-based 'Hive' partitioning and chunked reading for larger-than-memory files. Supports parallel conversion with a 'targets' pipeline and reading those registers into 'DuckDB' tables for faster querying and analyses.
License: MIT + file LICENSE
URL: https://dp-next.github.io/fastreg/ https://github.com/dp-next/fastreg
BugReports: https://github.com/dp-next/fastreg/issues
Depends: R (>= 4.1.0)
Imports: arrow, checkmate, cli, dplyr, fs, glue, haven, osdc, purrr, rlang, stringr, uuid
Suggests: crew, dbplyr, devtools, duckdb, qs2, quarto, targets, testthat (>= 3.0.0), tidyselect, withr
VignetteBuilder: quarto
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-20 10:32:41 UTC; au546191
Author: Signe Kirk Broedbaek [aut, cre] , Luke Johnston [aut] , Steno Diabetes Center Aarhus [cph], Aarhus University [cph]
Maintainer: Signe Kirk Broedbaek <signekb@clin.au.dk>
Repository: CRAN
Date/Publication: 2026-02-25 10:10:24 UTC

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New package dtms with initial version 0.4.2
Package: dtms
Title: Discrete-Time Multistate Models
Version: 0.4.2
Description: Discrete-time multistate models with a user-friendly workflow. The package provides tools for processing data, several ways of estimating parametric and nonparametric multistate models, and an extensive set of Markov chain methods which use transition probabilities derived from the multistate model. Some of the implemented methods are described in Schneider et al. (2024) <doi:10.1080/00324728.2023.2176535>, Dudel (2021) <doi:10.1177/0049124118782541>, Dudel & Myrskylä (2020) <doi:10.1186/s12963-020-00217-0>, van den Hout (2017) <doi:10.1201/9781315374321>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/christiandudel/dtms
BugReports: https://github.com/christiandudel/dtms/issues
Depends: R (>= 4.1.0)
Imports: mclogit, nnet, VGAM, doParallel, foreach, markovchain, methods
NeedsCompilation: no
Packaged: 2026-02-20 14:45:53 UTC; Dudel
Author: Christian Dudel [aut, cre]
Maintainer: Christian Dudel <dudel@demogr.mpg.de>
Repository: CRAN
Date/Publication: 2026-02-25 10:20:07 UTC

More information about dtms at CRAN
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Package CompositionalSR updated to version 1.1 with previous version 1.0 dated 2025-10-23

Title: Spatial Regression Models with Compositional Data
Description: Spatial regression models with compositional responses using the alpha--transformation. Relevant papers include: Tsagris M. (2025), <doi:10.48550/arXiv.2510.12663>, Tsagris M. (2015), <https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>, Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between CompositionalSR versions 1.0 dated 2025-10-23 and 1.1 dated 2026-02-25

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New package bigMICE with initial version 1.0.0
Package: bigMICE
Title: Multiple Imputation of Big Data
Version: 1.0.0
Description: A computational toolbox designed for handling missing values in large datasets with the Multiple Imputation by Chained Equations (MICE) by using 'Apache Spark'. The methodology is described in Morvan et al. (2026) <doi:10.48550/arXiv.2601.21613>.
License: GPL (>= 2)
Encoding: UTF-8
SystemRequirements: Spark: 3.x, or 4.x
Imports: dplyr, tidyselect, rlang, sparklyr, data.table, Matrix
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-20 13:56:14 UTC; olesy12
Author: Hugo Morvan [aut], Oleg Sysoev [aut, cre]
Maintainer: Oleg Sysoev <oleg.sysoev@liu.se>
Repository: CRAN
Date/Publication: 2026-02-25 10:20:14 UTC

More information about bigMICE at CRAN
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Package wcde updated to version 0.0.8 with previous version 0.0.7 dated 2024-02-13

Title: Download Data from the Wittgenstein Centre Human Capital Data Explorer
Description: Download and plot education specific demographic data from the Wittgenstein Centre for Demography and Human Capital Data Explorer <https://dataexplorer.wittgensteincentre.org/>.
Author: Guy J. Abel [aut, cre, ctb] , Samir K.C. [ctb] , Michaela Potancokova [ctb], Claudia Reiter [ctb] , Andrea Tamburini [ctb], Dilek Yildiz [ctb]
Maintainer: Guy J. Abel <g.j.abel@gmail.com>

Diff between wcde versions 0.0.7 dated 2024-02-13 and 0.0.8 dated 2026-02-25

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Package keyed updated to version 0.2.0 with previous version 0.1.3 dated 2026-02-06

Title: Explicit Key Assumptions for Flat-File Data
Description: Helps make implicit data assumptions explicit by attaching keys to flat-file data that error when those assumptions are violated. Designed for CSV-first workflows without database infrastructure or version control. Provides key definition, assumption checks, join diagnostics, and automatic drift detection via watched data frames that snapshot before each transformation and report cell-level changes.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between keyed versions 0.1.3 dated 2026-02-06 and 0.2.0 dated 2026-02-25

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Package dppmix updated to version 0.1.2 with previous version 0.1.1 dated 2020-01-14

Title: Determinantal Point Process Mixture Models
Description: Multivariate Gaussian mixture model with a determinant point process prior to promote the discovery of parsimonious components from observed data. See Xu, Mueller, Telesca (2016) <doi:10.1111/biom.12482>.
Author: Yanxun Xu [aut], Peter Mueller [aut], Donatello Telesca [aut], David J. H. Shih [aut, cre]
Maintainer: David J. H. Shih <djh.shih@gmail.com>

Diff between dppmix versions 0.1.1 dated 2020-01-14 and 0.1.2 dated 2026-02-25

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More information about dppmix at CRAN
Permanent link

New package bclogit with initial version 1.0
Package: bclogit
Title: Conditional Logistic Regression
Version: 1.0
Author: Adam Kapelner [aut, cre] , Jacob Tennenbaum [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>
Description: Performs inference for Bayesian conditional logistic regression with informative priors built from the concordant pair data. We include many options to build the priors. And we include many options during the inference step for estimation, testing and confidence set creation. For details, see Kapelner and Tennenbaum (2026) ``Improved Conditional Logistic Regression using Information in Concordant Pairs with Software'' <doi:10.48550/arXiv.2602.08212>.
SystemRequirements: GNU make
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0), Rcpp (>= 1.0.14)
Imports: checkmate, coda, fastLogisticRegressionWrap, geepack, glmmTMB, methods, RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.6.0)
Suggests: testthat (>= 3.0.0), survival, ggdist, data.table
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
URL: https://github.com/Tennenbaum-J/bclogit_package_and_paper_repo
BugReports: https://github.com/Tennenbaum-J/bclogit_package_and_paper_repo/issues
Biarch: true
NeedsCompilation: yes
Packaged: 2026-02-20 00:56:31 UTC; kapelner
Repository: CRAN
Date/Publication: 2026-02-25 10:00:14 UTC

More information about bclogit at CRAN
Permanent link

Package scplot updated to version 0.6.1 with previous version 0.6.0 dated 2025-06-29

Title: Plot Function for Single-Case Data Frames
Description: Add-on for the 'scan' package that creates plots from single-case data frames ('scdf'). It includes functions for styling single-case plots, adding phase-based lines to indicate various statistical parameters, and predefined themes for presentations and publications. More information and in depth examples can be found in the online book "Analyzing Single-Case Data with R and 'scan" Jürgen Wilbert (2026) <https://jazznbass.github.io/scan-Book/>.
Author: Juergen Wilbert [aut, cre]
Maintainer: Juergen Wilbert <juergen.wilbert@uni-muenster.de>

Diff between scplot versions 0.6.0 dated 2025-06-29 and 0.6.1 dated 2026-02-25

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Package valdr updated to version 2.2.0 with previous version 2.1.0 dated 2025-12-12

Title: Access and Analyse 'VALD' Data via Our External 'APIs'
Description: Provides helper functions and wrappers to simplify authentication, data retrieval, and result processing from the 'VALD' 'APIs'. Designed to streamline integration for analysts and researchers working with 'VALD's external 'APIs'. For further documentation on integrating with 'VALD' 'APIs', see: <https://support.vald.com/hc/en-au/articles/23415335574553-How-to-integrate-with-VALD-APIs>. For a step-by-step guide to using this package, see: <https://support.vald.com/hc/en-au/articles/48730811824281-A-guide-to-using-the-valdr-R-package>.
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>

Diff between valdr versions 2.1.0 dated 2025-12-12 and 2.2.0 dated 2026-02-25

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Package tidyLPA updated to version 2.0.2 with previous version 1.1.0 dated 2021-11-17

Title: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
Description: Easily carry out latent profile analysis ("LPA"), determine the correct number of classes based on best practices, and tabulate and plot the results. Provides functionality to estimate commonly-specified models with free means, variances, and covariances for each profile. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Models can be estimated using the free open source 'R' packages 'Mclust' and 'OpenMx', or using the commercial program 'MPlus', via the 'MplusAutomation' package.
Author: Joshua M Rosenberg [aut, cre], Caspar van Lissa [aut], Jennifer A Schmidt [ctb], Patrick N Beymer [ctb], Daniel Anderson [ctb], Matthew J. Schell [ctb]
Maintainer: Joshua M Rosenberg <jmrosenberg@utk.edu>

Diff between tidyLPA versions 1.1.0 dated 2021-11-17 and 2.0.2 dated 2026-02-25

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Package survminer updated to version 0.5.2 with previous version 0.5.1 dated 2025-09-02

Title: Drawing Survival Curves using 'ggplot2'
Description: Contains the function 'ggsurvplot()' for drawing easily beautiful and 'ready-to-publish' survival curves with the 'number at risk' table and 'censoring count plot'. Other functions are also available to plot adjusted curves for `Cox` model and to visually examine 'Cox' model assumptions.
Author: Alboukadel Kassambara [aut, cre], Marcin Kosinski [aut], Przemyslaw Biecek [aut], Scheipl Fabian [ctb]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between survminer versions 0.5.1 dated 2025-09-02 and 0.5.2 dated 2026-02-25

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Package SurvivalClusteringTree updated to version 1.1.3 with previous version 1.1.1 dated 2024-05-24

Title: Clustering Analysis Using Survival Tree and Forest Algorithms
Description: An outcome-guided algorithm is developed to identify clusters of samples with similar characteristics and survival rate. The algorithm first builds a random forest and then defines distances between samples based on the fitted random forest. Given the distances, we can apply hierarchical clustering algorithms to define clusters. Details about this method is described in <https://github.com/luyouepiusf/SurvivalClusteringTree>.
Author: Lu You [aut, cre] , Lauric Ferrat [aut] , Hemang Parikh [aut] , Yanan Huo [aut] , Yuting Yang [aut] , Jeffrey Krischer [ctb] , Maria Redondo [ctb] , Richard Oram [ctb] , Andrea Steck [ctb]
Maintainer: Lu You <lu.you@epi.usf.edu>

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Package snowflakeauth updated to version 0.2.2 with previous version 0.2.1 dated 2026-01-15

Title: Authentication Helpers for 'Snowflake'
Description: Authentication helpers for 'Snowflake'. It provides compatibility with authentication approaches supported by the 'Snowflake Connector for Python' <https://pypi.org/project/snowflake-connector-python> and the 'Snowflake CLI' <https://pypi.org/project/snowflake-cli>.
Author: Aaron Jacobs [aut], E. David Aja [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: E. David Aja <david@posit.co>

Diff between snowflakeauth versions 0.2.1 dated 2026-01-15 and 0.2.2 dated 2026-02-25

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Package gMCPLite updated to version 0.1.7 with previous version 0.1.6 dated 2025-08-26

Title: Lightweight Graph Based Multiple Comparison Procedures
Description: A lightweight fork of 'gMCP' with functions for graphical described multiple test procedures introduced in Bretz et al. (2009) <doi:10.1002/sim.3495> and Bretz et al. (2011) <doi:10.1002/bimj.201000239>. Implements a flexible function using 'ggplot2' to create multiplicity graph visualizations. Contains instructions of multiplicity graph and graphical testing for group sequential design, described in Maurer and Bretz (2013) <doi:10.1080/19466315.2013.807748>, with necessary unit testing using 'testthat'.
Author: Yalin Zhu [aut] , Yilong Zhang [aut], Xuan Deng [aut], Keaven Anderson [aut, cre], Nan Xiao [aut] , Kornelius Rohmeyer [ctb] , Florian Klinglmueller [ctb] , gMCP project contributors [cph] , Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>

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Package ggrepel updated to version 0.9.7 with previous version 0.9.6 dated 2024-09-07

Title: Automatically Position Non-Overlapping Text Labels with 'ggplot2'
Description: Provides text and label geoms for 'ggplot2' that help to avoid overlapping text labels. Labels repel away from each other and away from the data points.
Author: Kamil Slowikowski [aut, cre] , Teun van den Brand [ctb] , Alicia Schep [ctb] , Sean Hughes [ctb] , Trung Kien Dang [ctb] , Saulius Lukauskas [ctb], Jean-Olivier Irisson [ctb] , Zhian N Kamvar [ctb] , Thompson Ryan [ctb] , Dervieux Christophe [ctb] , [...truncated...]
Maintainer: Kamil Slowikowski <kslowikowski@gmail.com>

Diff between ggrepel versions 0.9.6 dated 2024-09-07 and 0.9.7 dated 2026-02-25

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 NAMESPACE                                |   14 
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 R/RcppExports.R                          |    6 
 R/element-text-repel.R                   |only
 R/geom-label-repel.R                     |  104 +++++--
 R/geom-marquee-repel.R                   |only
 R/geom-text-repel.R                      |   71 +++-
 R/ggrepel-package.R                      |   10 
 R/utilities.R                            |    6 
 build/vignette.rds                       |binary
 inst/doc/ggrepel.R                       |    8 
 inst/doc/ggrepel.html                    |    7 
 man/element_text_repel.Rd                |only
 man/geom_text_repel.Rd                   |   35 ++
 man/ggrepel.Rd                           |    6 
 src/repel_boxes.cpp                      |   59 +++-
 tests/testthat/setup.R                   |only
 tests/testthat/test-element-text-repel.R |only
 vignettes/examples.html                  |  450 +++++++++++++++++++++++++------
 21 files changed, 704 insertions(+), 201 deletions(-)

More information about ggrepel at CRAN
Permanent link

Package gamlr updated to version 1.13-9 with previous version 1.13-8 dated 2023-04-16

Title: Gamma Lasso Regression
Description: The gamma lasso algorithm provides regularization paths corresponding to a range of non-convex cost functions between L0 and L1 norms. As much as possible, usage for this package is analogous to that for the glmnet package (which does the same thing for penalization between L1 and L2 norms). For details see: Taddy (2017 JCGS), 'One-Step Estimator Paths for Concave Regularization', <doi:10.48550/arXiv.1308.5623>.
Author: Matt Taddy [aut, cre]
Maintainer: Matt Taddy <mataddy@gmail.com>

Diff between gamlr versions 1.13-8 dated 2023-04-16 and 1.13-9 dated 2026-02-25

 DESCRIPTION  |   17 +++++++++++------
 MD5          |    4 ++--
 man/naref.Rd |    4 ++--
 3 files changed, 15 insertions(+), 10 deletions(-)

More information about gamlr at CRAN
Permanent link

Package duckplyr updated to version 1.2.0 with previous version 1.1.3 dated 2025-11-04

Title: A 'DuckDB'-Backed Version of 'dplyr'
Description: A drop-in replacement for 'dplyr', powered by 'DuckDB' for performance. Offers convenient utilities for working with in-memory and larger-than-memory data while retaining full 'dplyr' compatibility.
Author: Hannes Muehleisen [aut] , Kirill Mueller [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between duckplyr versions 1.1.3 dated 2025-11-04 and 1.2.0 dated 2026-02-25

 DESCRIPTION                                   |   14 
 MD5                                           |  380 ++++----
 NAMESPACE                                     |    8 
 NEWS.md                                       |   93 +-
 R/anti_join.R                                 |    9 
 R/as_duckplyr_df.R                            |   16 
 R/as_duckplyr_tibble.R                        |    6 
 R/as_tbl.R                                    |    3 
 R/can_load_extension.R                        |    6 
 R/compute_csv.R                               |   53 -
 R/compute_parquet.R                           |   58 +
 R/construct_constant.R                        |   37 
 R/construct_function.R                        |   50 -
 R/construct_reference.R                       |   37 
 R/construct_window.R                          |   47 -
 R/count.R                                     |   11 
 R/dplyr-reimplement.R                         |    3 
 R/dplyr.R                                     |    6 
 R/duckplyr-across.R                           |   33 
 R/duckplyr-package.R                          |    2 
 R/duckplyr_df.R                               |   42 
 R/ducktbl.R                                   |   28 
 R/explain.R                                   |    7 
 R/fallback.R                                  |   86 +
 R/filter.R                                    |   17 
 R/filter_out.R                                |only
 R/group_indices.R                             |    8 
 R/group_keys.R                                |    9 
 R/group_map.R                                 |   13 
 R/group_modify.R                              |    7 
 R/group_split.R                               |    7 
 R/handle_desc.R                               |    5 
 R/head.R                                      |    3 
 R/io-.R                                       |   29 
 R/io-csv.R                                    |   16 
 R/io-parquet.R                                |   19 
 R/join.R                                      |   16 
 R/mutate.R                                    |   35 
 R/oo.R                                        |   45 
 R/print.R                                     |    5 
 R/prudence.R                                  |   27 
 R/read_csv_duckdb.R                           |   22 
 R/read_json_duckdb.R                          |    7 
 R/read_parquet_duckdb.R                       |    7 
 R/read_tbl_duckdb.R                           |only
 R/reframe.R                                   |    2 
 R/relational-duckdb.R                         |  362 +++----
 R/relational-expr.R                           |   40 
 R/relational-rel.R                            |   22 
 R/relational.R                                |   64 -
 R/rows_delete.R                               |   10 
 R/semi_join.R                                 |    9 
 R/sql.R                                       |    7 
 R/stats.R                                     |    6 
 R/summarise.R                                 |    6 
 R/telemetry.R                                 |   29 
 R/tpch.R                                      |  239 ++++-
 R/tpch2.R                                     |  228 +++--
 R/translate.R                                 |  433 +++++++--
 R/transmute-rd.R                              |    6 
 R/transmute.R                                 |   48 +
 R/zzz.R                                       |    5 
 build/vignette.rds                            |binary
 inst/doc/developers.html                      |   19 
 inst/doc/duckdb.html                          |   13 
 inst/doc/extend.html                          |    8 
 inst/doc/fallback.html                        |    8 
 inst/doc/large.html                           |   39 
 inst/doc/limits.R                             |   14 
 inst/doc/limits.Rmd                           |   24 
 inst/doc/limits.html                          |   75 +
 inst/doc/prudence.html                        |   36 
 man/arrange.duckplyr_df.Rd                    |    2 
 man/compute_csv.Rd                            |   23 
 man/compute_parquet.Rd                        |   21 
 man/count.duckplyr_df.Rd                      |    2 
 man/df_from_file.Rd                           |   10 
 man/filter.duckplyr_df.Rd                     |   32 
 man/mutate.duckplyr_df.Rd                     |    4 
 man/new_relexpr.Rd                            |    6 
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 man/slice_head.duckplyr_df.Rd                 |    4 
 man/summarise.duckplyr_df.Rd                  |   36 
 man/transmute.duckplyr_df.Rd                  |    2 
 tests/testthat/_snaps/dplyr-across.md         |  488 ++++++++++
 tests/testthat/_snaps/dplyr-arrange.md        |   19 
 tests/testthat/_snaps/dplyr-case-match.md     |  199 ++++
 tests/testthat/_snaps/dplyr-case-when.md      |  307 ++++++
 tests/testthat/_snaps/dplyr-coalesce.md       |   68 +
 tests/testthat/_snaps/dplyr-consecutive-id.md |    1 
 tests/testthat/_snaps/dplyr-count-tally.md    |   90 +
 tests/testthat/_snaps/dplyr-desc.md           |    1 
 tests/testthat/_snaps/dplyr-distinct.md       |    8 
 tests/testthat/_snaps/dplyr-filter.md         |   75 +
 tests/testthat/_snaps/dplyr-group-by.md       |only
 tests/testthat/_snaps/dplyr-group-data.md     |only
 tests/testthat/_snaps/dplyr-group-map.md      |only
 tests/testthat/_snaps/dplyr-if-else.md        |   22 
 tests/testthat/_snaps/dplyr-join-rows.md      |   80 -
 tests/testthat/_snaps/dplyr-lead-lag.md       |    2 
 tests/testthat/_snaps/dplyr-n-distinct.md     |    1 
 tests/testthat/_snaps/dplyr-na-if.md          |    2 
 tests/testthat/_snaps/dplyr-nth-value.md      |    1 
 tests/testthat/_snaps/dplyr-pick.md           |   48 -
 tests/testthat/_snaps/dplyr-sample.md         |    6 
 tests/testthat/_snaps/dplyr-select-helpers.md |only
 tests/testthat/_snaps/dplyr-summarise.md      |   21 
 tests/testthat/_snaps/duckplyr-across.md      |   85 +
 tests/testthat/_snaps/expr.md                 |    9 
 tests/testthat/_snaps/fallback.md             |   14 
 tests/testthat/_snaps/relational-duckdb.md    |   10 
 tests/testthat/_snaps/translate.md            |  285 ++++--
 tests/testthat/helper-dplyr-encoding.R        |   21 
 tests/testthat/helper-dplyr-s3.R              |    3 
 tests/testthat/setup.R                        |   10 
 tests/testthat/test-as_duckplyr_df.R          |  456 ++++++++++
 tests/testthat/test-as_duckplyr_tibble.R      |   10 
 tests/testthat/test-as_tbl.R                  |    5 
 tests/testthat/test-compute_csv.R             |   28 
 tests/testthat/test-compute_parquet.R         |   28 
 tests/testthat/test-demo.R                    |   29 
 tests/testthat/test-dplyr-across.R            | 1185 ++++++++++++++++++++------
 tests/testthat/test-dplyr-all-equal.R         |   15 
 tests/testthat/test-dplyr-arrange.R           |  144 ++-
 tests/testthat/test-dplyr-bind-cols.R         |   27 
 tests/testthat/test-dplyr-bind-rows.R         |   20 
 tests/testthat/test-dplyr-by.R                |    4 
 tests/testthat/test-dplyr-case-match.R        |  323 +++++++
 tests/testthat/test-dplyr-case-when.R         |  426 ++++++++-
 tests/testthat/test-dplyr-coalesce.R          |  134 ++
 tests/testthat/test-dplyr-colwise-funs.R      |    4 
 tests/testthat/test-dplyr-conditions.R        |   60 -
 tests/testthat/test-dplyr-consecutive-id.R    |    4 
 tests/testthat/test-dplyr-context.R           |   14 
 tests/testthat/test-dplyr-copy-to.R           |    4 
 tests/testthat/test-dplyr-count-tally.R       |   91 +
 tests/testthat/test-dplyr-desc.R              |    4 
 tests/testthat/test-dplyr-distinct.R          |   71 -
 tests/testthat/test-dplyr-filter.R            |  506 +++++++----
 tests/testthat/test-dplyr-funs.R              |   10 
 tests/testthat/test-dplyr-generics.R          |   22 
 tests/testthat/test-dplyr-group-by.R          |  373 +++++---
 tests/testthat/test-dplyr-group-data.R        |   39 
 tests/testthat/test-dplyr-group-map.R         |   95 +-
 tests/testthat/test-dplyr-group-nest.R        |   27 
 tests/testthat/test-dplyr-group-split.R       |   79 +
 tests/testthat/test-dplyr-group-trim.R        |   16 
 tests/testthat/test-dplyr-grouped-df.R        |   56 -
 tests/testthat/test-dplyr-groups-with.R       |    6 
 tests/testthat/test-dplyr-if-else.R           |   20 
 tests/testthat/test-dplyr-join-by.R           |   44 
 tests/testthat/test-dplyr-join-cols.R         |   99 +-
 tests/testthat/test-dplyr-join-cross.R        |    9 
 tests/testthat/test-dplyr-join-rows.R         |   99 --
 tests/testthat/test-dplyr-join.R              |  204 +++-
 tests/testthat/test-dplyr-lead-lag.R          |   26 
 tests/testthat/test-dplyr-mutate.R            |  344 ++++---
 tests/testthat/test-dplyr-n-distinct.R        |    4 
 tests/testthat/test-dplyr-na-if.R             |    6 
 tests/testthat/test-dplyr-near.R              |    4 
 tests/testthat/test-dplyr-nest-by.R           |   11 
 tests/testthat/test-dplyr-nth-value.R         |    9 
 tests/testthat/test-dplyr-order-by.R          |    5 
 tests/testthat/test-dplyr-pick.R              |   82 +
 tests/testthat/test-dplyr-pull.R              |    4 
 tests/testthat/test-dplyr-rank.R              |    9 
 tests/testthat/test-dplyr-reframe.R           |  135 ++
 tests/testthat/test-dplyr-relocate.R          |   24 
 tests/testthat/test-dplyr-rename.R            |   42 
 tests/testthat/test-dplyr-rows.R              |   20 
 tests/testthat/test-dplyr-rowwise.R           |   42 
 tests/testthat/test-dplyr-sample.R            |   43 
 tests/testthat/test-dplyr-select-helpers.R    |   19 
 tests/testthat/test-dplyr-select.R            |  102 +-
 tests/testthat/test-dplyr-sets.R              |   13 
 tests/testthat/test-dplyr-slice.R             |   44 
 tests/testthat/test-dplyr-summarise.R         |  459 +++++-----
 tests/testthat/test-dplyr-transmute.R         |   33 
 tests/testthat/test-dplyr.R                   |  125 ++
 tests/testthat/test-duckdb.R                  |   39 
 tests/testthat/test-duckplyr-across.R         |  136 ++
 tests/testthat/test-ducktbl.R                 |   18 
 tests/testthat/test-expr.R                    |    8 
 tests/testthat/test-fallback.R                |   20 
 tests/testthat/test-n_distinct.R              |   85 -
 tests/testthat/test-prom.R                    |   17 
 tests/testthat/test-prudence.R                |   12 
 tests/testthat/test-read_csv_duckdb.R         |   32 
 tests/testthat/test-read_tbl_duckdb.R         |only
 tests/testthat/test-rel_api.R                 |  455 +++++++++
 tests/testthat/test-relational-duckdb.R       |   18 
 tests/testthat/test-relational.R              |    6 
 tests/testthat/test-translate.R               |  201 ++++
 vignettes/limits.Rmd                          |   24 
 195 files changed, 9598 insertions(+), 2978 deletions(-)

More information about duckplyr at CRAN
Permanent link

Package dm updated to version 1.1.0 with previous version 1.0.12 dated 2025-07-02

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Mueller [aut, cre] , Antoine Fabri [ctb], Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], Indrajeet Patil [ctb] , Maelle Salmon [ctb] , energie360 AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between dm versions 1.0.12 dated 2025-07-02 and 1.1.0 dated 2026-02-25

 DESCRIPTION                                  |   34 
 MD5                                          |  413 +++++-----
 NAMESPACE                                    |   24 
 NEWS.md                                      |  108 ++
 R/add-tbl.R                                  |   11 
 R/bind.R                                     |    1 
 R/build_copy_queries.R                       |   60 +
 R/cache.R                                    |    6 
 R/check-cardinalities.R                      |   87 +-
 R/code-generation.R                          |    5 
 R/datamodelr-code.R                          |  180 ++--
 R/db-helpers.R                               |  106 +-
 R/db-interface.R                             |  262 +++---
 R/deconstruct.R                              |   78 +
 R/deprecated.R                               |    8 
 R/descriptions.R                             |    1 
 R/disambiguate.R                             |   30 
 R/dm-flatten.R                               |only
 R/dm-package.R                               |    1 
 R/dm.R                                       |   89 +-
 R/dm_deconstruct.R                           |   12 
 R/dm_from_con.R                              |   77 +
 R/dm_get_con.R                               |    5 
 R/dm_get_tables.R                            |    1 
 R/dm_nest_tbl.R                              |   79 +
 R/dm_sql.R                                   |   86 +-
 R/dm_unnest_tbl.R                            |    8 
 R/dm_wrap.R                                  |   11 
 R/dplyr-src.R                                |   44 -
 R/dplyr.R                                    |  758 ++++++++++++++++--
 R/draw-dm.R                                  |  191 +++-
 R/enum_ops.R                                 |    4 
 R/enumerate_all_paths.R                      |   17 
 R/error-helpers.R                            |  559 ++++++-------
 R/examine-cardinalities.R                    |   62 -
 R/examine-constraints.R                      |  115 ++
 R/filter-dm.R                                |   66 +
 R/filter-helpers.R                           |   10 
 R/financial-db-con.R                         |    7 
 R/flatten.R                                  |   83 +-
 R/foreign-keys.R                             |  215 +++--
 R/format.R                                   |    4 
 R/globals.R                                  |   10 
 R/graph.R                                    |    8 
 R/gui-check.R                                |   14 
 R/gui-dmSVG.R                                |   11 
 R/gui-gui_global.R                           |   25 
 R/gui-gui_server.R                           |   48 -
 R/gui-gui_ui.R                               |  128 ++-
 R/gui-mw_cg.R                                |   19 
 R/gui-mw_cg_make_dm_add_fk.R                 |    9 
 R/gui-mw_cg_make_dm_rename.R                 |    8 
 R/igraph-fallback.R                          |only
 R/igraph.R                                   |only
 R/json_nest.R                                |   36 
 R/json_nest_join.R                           |   10 
 R/json_pack.R                                |   25 
 R/json_pack_join.R                           |   10 
 R/json_unnest.R                              |   13 
 R/json_unpack.R                              |   10 
 R/key-helpers.R                              |   70 +
 R/learn.R                                    |   91 +-
 R/mariadb.R                                  |    5 
 R/meta.R                                     |  630 ++++++++++++---
 R/mssql.R                                    |  104 +-
 R/nest.R                                     |    8 
 R/new_ticker.R                               |    3 
 R/nycflights13.R                             |    9 
 R/pack_join.R                                |    4 
 R/paste.R                                    |  133 ++-
 R/pixarfilms.R                               |   61 +
 R/primary-keys.R                             |  108 +-
 R/rows-dm.R                                  |   81 +
 R/schema.R                                   |   43 -
 R/select-tbl.R                               |    5 
 R/select.R                                   |    2 
 R/standalone-check_suggested.R               |    4 
 R/table-surgery.R                            |    5 
 R/test-dm.R                                  |   38 
 R/testthat-wrappers.R                        |   36 
 R/tidyr.R                                    |   84 +-
 R/tidyselect.R                               |   18 
 R/unique-keys.R                              |   58 -
 R/unnest.R                                   |   17 
 R/upgrade.R                                  |   16 
 R/validate.R                                 |   27 
 R/waldo.R                                    |   19 
 R/zoom.R                                     |   32 
 R/zoom2.R                                    |only
 R/zzx-deprecated.R                           |  276 ++++--
 R/zzz.R                                      |   56 +
 build/vignette.rds                           |binary
 demo/basel.R                                 |   24 
 demo/berlin.R                                |    8 
 demo/hamburg.R                               |   36 
 demo/milano.R                                |   25 
 demo/neuchatel.R                             |   32 
 demo/nyc.R                                   |  107 +-
 demo/seattle.R                               |  108 +-
 demo/zurich.R                                |   14 
 demo/zurich2.R                               |   17 
 inst/doc/dm.R                                |    4 
 inst/doc/dm.Rmd                              |    6 
 inst/doc/dm.html                             |   16 
 inst/doc/howto-dm-copy.R                     |    8 
 inst/doc/howto-dm-copy.Rmd                   |    8 
 inst/doc/howto-dm-copy.html                  |   27 
 inst/doc/howto-dm-db.R                       |    4 
 inst/doc/howto-dm-db.Rmd                     |    8 
 inst/doc/howto-dm-db.html                    |   18 
 inst/doc/howto-dm-df.html                    |    4 
 inst/doc/howto-dm-rows.html                  |    4 
 inst/doc/howto-dm-theory.html                |    4 
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 inst/doc/tech-dm-draw.html                   |    4 
 inst/doc/tech-dm-filter.html                 |    4 
 inst/doc/tech-dm-join.html                   |    4 
 inst/doc/tech-dm-low-level.html              |    4 
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 inst/make-cheatsheet.R                       |   14 
 man/copy_dm_to.Rd                            |   15 
 man/deprecated.Rd                            |    2 
 man/dm_deconstruct.Rd                        |    4 
 man/dm_draw.Rd                               |   74 +
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 man/dm_from_src.Rd                           |    7 
 man/dm_pixarfilms.Rd                         |    8 
 man/dplyr_join.Rd                            |  268 +++++-
 man/dplyr_table_manipulation.Rd              |  173 +++-
 man/tidyr_table_manipulation.Rd              |   73 +
 tests/testthat/_problems                     |only
 tests/testthat/_snaps/add-tbl.md             |    2 
 tests/testthat/_snaps/bind.md                |    2 
 tests/testthat/_snaps/check-cardinalities.md |    2 
 tests/testthat/_snaps/db-interface.md        |    9 
 tests/testthat/_snaps/deconstruct.md         |   24 
 tests/testthat/_snaps/disentangle.md         |    2 
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 tests/testthat/_snaps/dm_nest_tbl.md         |   65 +
 tests/testthat/_snaps/dm_wrap.md             |    8 
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 tests/testthat/_snaps/draw-dm.md             |   45 +
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 tests/testthat/_snaps/error-helpers.md       |  142 ++-
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 tests/testthat/_snaps/examine-constraints.md |   10 
 tests/testthat/_snaps/filter-dm.md           |   20 
 tests/testthat/_snaps/graph.md               |   15 
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 tests/testthat/_snaps/json_nest.md           |   16 
 tests/testthat/_snaps/json_pack.md           |    8 
 tests/testthat/_snaps/key-helpers.md         |   16 
 tests/testthat/_snaps/learn.md               |  150 ++-
 tests/testthat/_snaps/pack_join.md           |    2 
 tests/testthat/_snaps/paste.md               |   27 
 tests/testthat/_snaps/primary-keys.md        |    9 
 tests/testthat/_snaps/rows-dm.md             |    8 
 tests/testthat/_snaps/unique-keys.md         |    4 
 tests/testthat/_snaps/upgrade.md             |    2 
 tests/testthat/_snaps/zoom.md                |    4 
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 tests/testthat/_snaps/zzx-deprecated.md      |   32 
 tests/testthat/helper-config-db.R            |   27 
 tests/testthat/helper-expectations.R         |   54 +
 tests/testthat/helper-src.R                  | 1097 ++++++++++++++-------------
 tests/testthat/test-add-tbl.R                |    3 
 tests/testthat/test-bind.R                   |    6 
 tests/testthat/test-build_copy_queries.R     |    5 
 tests/testthat/test-check-cardinalities.R    |  296 ++++++-
 tests/testthat/test-code-generation.R        |   32 
 tests/testthat/test-db-helpers.R             |  112 ++
 tests/testthat/test-db-interface.R           |    9 
 tests/testthat/test-deconstruct.R            |   47 +
 tests/testthat/test-descriptions.R           |    3 
 tests/testthat/test-dm-flatten.R             |only
 tests/testthat/test-dm.R                     |   33 
 tests/testthat/test-dm_nest_tbl.R            |   42 -
 tests/testthat/test-dm_pixarfilms.R          |   10 
 tests/testthat/test-dm_unnest_tbl.R          |   10 
 tests/testthat/test-dm_wrap.R                |   65 +
 tests/testthat/test-dplyr.R                  |  489 +++++++++++-
 tests/testthat/test-draw-dm.R                |   70 +
 tests/testthat/test-duckplyr.R               |only
 tests/testthat/test-error-helpers.R          |   31 
 tests/testthat/test-error-ownership.R        |only
 tests/testthat/test-examine-constraints.R    |    9 
 tests/testthat/test-filter-dm.R              |    3 
 tests/testthat/test-flatten.R                |   52 -
 tests/testthat/test-foreign-keys.R           |   29 
 tests/testthat/test-graph.R                  |   25 
 tests/testthat/test-igraph-fallback.R        |only
 tests/testthat/test-igraph.R                 |only
 tests/testthat/test-json_nest.R              |   14 
 tests/testthat/test-json_pack.R              |    7 
 tests/testthat/test-key-helpers.R            |   56 +
 tests/testthat/test-learn.R                  |  150 ++-
 tests/testthat/test-nest.R                   |    1 
 tests/testthat/test-paste.R                  |   43 -
 tests/testthat/test-rows-dm.R                |   13 
 tests/testthat/test-schema.R                 |    7 
 tests/testthat/test-select.R                 |    6 
 tests/testthat/test-table-surgery.R          |    3 
 tests/testthat/test-tidyr.R                  |   47 +
 tests/testthat/test-validate.R               |   81 +
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More information about dm at CRAN
Permanent link

Package DIDmultiplegtDYN updated to version 2.3.1 with previous version 2.3.0 dated 2026-02-03

Title: Estimation in Difference-in-Difference Designs with Multiple Groups and Periods
Description: Estimation of heterogeneity-robust difference-in-differences estimators, with a binary, discrete, or continuous treatment, in designs where past treatments may affect the current outcome.
Author: Anzony Quispe [aut, cre], Diego Ciccia [aut], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Clement de Chaisemartin [aut]
Maintainer: Anzony Quispe <anzony.quispe@gmail.com>

Diff between DIDmultiplegtDYN versions 2.3.0 dated 2026-02-03 and 2.3.1 dated 2026-02-25

 DESCRIPTION                        |    6 
 MD5                                |   19 +--
 R/did_multiplegt_bootstrap.R       |   45 ++++---
 R/did_multiplegt_dyn.R             |  112 ++++++++++++++++--
 R/did_multiplegt_dyn_design.R      |    4 
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 R/did_multiplegt_dyn_normweights.R |    4 
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 R/print.R                          |   29 ++++
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More information about DIDmultiplegtDYN at CRAN
Permanent link

Package DBI updated to version 1.3.0 with previous version 1.2.3 dated 2024-06-02

Title: R Database Interface
Description: A database interface definition for communication between R and relational database management systems. All classes in this package are virtual and need to be extended by the various R/DBMS implementations.
Author: R Special Interest Group on Databases [aut], Hadley Wickham [aut], Kirill Mueller [aut, cre] , R Consortium [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between DBI versions 1.2.3 dated 2024-06-02 and 1.3.0 dated 2026-02-25

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 DBI-1.3.0/DBI/NEWS.md                                                 |   77 
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More information about DBI at CRAN
Permanent link

Package ConsRank updated to version 3.0 with previous version 2.1.5 dated 2025-04-15

Title: Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach
Description: Compute the median ranking according to the Kemeny's axiomatic approach. Rankings can or cannot contain ties, rankings can be both complete or incomplete. The package contains both branch-and-bound algorithms and heuristic solutions recently proposed. The searching space of the solution can either be restricted to the universe of the permutations or unrestricted to all possible ties. The package also provide some useful utilities for deal with preference rankings, including both element-weight Kemeny distance and correlation coefficient. This release includes also the median constrained bucket order algorithm. This release removes the functions previously declared as deprecated. These functions are now defunct and no longer available in the package. Essential references: Emond, E.J., and Mason, D.W. (2002) <doi:10.1002/mcda.313>; D'Ambrosio, A., Amodio, S., and Iorio, C. (2015) <doi:10.1285/i20705948v8n2p198>; Amodio, S., D'Ambrosio, A., and Siciliano R. (2016) <doi:10.1 [...truncated...]
Author: Antonio D'Ambrosio [aut, cre], Sonia Amodio [ctb], Giulio Mazzeo [ctb], Alessandro Albano [ctb], Antonella Plaia [ctb]
Maintainer: Antonio D'Ambrosio <antdambr@unina.it>

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 ConsRank-3.0/ConsRank/man/reordering.Rd              |   40 
 ConsRank-3.0/ConsRank/man/scorematrix.Rd             |   70 
 ConsRank-3.0/ConsRank/man/stirling2.Rd               |   74 
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 58 files changed, 3147 insertions(+), 2186 deletions(-)

More information about ConsRank at CRAN
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Package calcal updated to version 1.0.3 with previous version 1.0.2 dated 2026-02-09

Title: Calendrical Calculations
Description: An R implementation of the algorithms described in Reingold and Dershowitz (4th ed., Cambridge University Press, 2018) <doi:10.1017/9781107415058>, allowing conversion between many different calendar systems. Cultural and religious holidays from several calendars can be calculated.
Author: Rob Hyndman [aut, cre, cph] , Edward Reingold [cph, ctb] , Nachum Dershowitz [cph, ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between calcal versions 1.0.2 dated 2026-02-09 and 1.0.3 dated 2026-02-25

 DESCRIPTION                  |    6 +++---
 MD5                          |   10 +++++-----
 NEWS.md                      |    3 +++
 R/bahai.R                    |    9 ++++++---
 inst/doc/new_calendar.html   |    4 ++--
 tests/testthat/test-common.R |   33 ++++++++++++++++++---------------
 6 files changed, 37 insertions(+), 28 deletions(-)

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Package astrochron updated to version 1.6 with previous version 1.5 dated 2025-04-28

Title: A Computational Tool for Astrochronology
Description: Routines for astrochronologic testing, astronomical time scale construction, and time series analysis <doi:10.1016/j.earscirev.2018.11.015>. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Author: Stephen Meyers [aut, cre], Alberto Malinverno [ctb], Linda Hinnov [ctb], Christian Zeeden [ctb], Huaran Liu [ctb], Vincent Moron [ctb], Michel Crucifix [ctb]
Maintainer: Stephen Meyers <smeyers@geology.wisc.edu>

Diff between astrochron versions 1.5 dated 2025-04-28 and 1.6 dated 2026-02-25

 astrochron-1.5/astrochron/R/FUNCTION-asm_removed.R         |only
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 astrochron-1.6/astrochron/DESCRIPTION                      |    8 +--
 astrochron-1.6/astrochron/MD5                              |   33 +++++++------
 astrochron-1.6/astrochron/NAMESPACE                        |    7 ++
 astrochron-1.6/astrochron/NEWS                             |   21 +++++++-
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 astrochron-1.6/astrochron/man/calcPeriods.Rd               |   17 +++++-
 astrochron-1.6/astrochron/man/getData.Rd                   |    2 
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 25 files changed, 74 insertions(+), 32 deletions(-)

More information about astrochron at CRAN
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