Wed, 25 Mar 2026

Package pkgdiff updated to version 1.0.2 with previous version 1.0.1 dated 2025-12-16

Title: Identifies Package Differences
Description: Identifies differences between versions of a package. Specifically, the functions help determine if there are breaking changes from one package version to the next. The package also includes a stability assessment, to help you determine the overall stability of a package, or even an entire repository.
Author: David Bosak [aut, cre], Brian Varney [ctb], Kevin Putschko [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between pkgdiff versions 1.0.1 dated 2025-12-16 and 1.0.2 dated 2026-03-25

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Package ggautomap updated to version 0.4.0 with previous version 0.3.3 dated 2025-09-10

Title: Create Maps from a Column of Place Names
Description: Mapping tools that convert place names to coordinates on the fly. These 'ggplot2' extensions make maps from a data frame where one of the columns contains place names, without having to directly work with the underlying geospatial data and tools. The corresponding map data must be registered with 'cartographer' either by the user or by another package.
Author: Carl Suster [aut, cre, cph] , Western Sydney Local Health District, NSW Health [cph]
Maintainer: Carl Suster <carl.suster@sydney.edu.au>

Diff between ggautomap versions 0.3.3 dated 2025-09-10 and 0.4.0 dated 2026-03-25

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Package WhatIf readmission to version 1.5-11 with previous version 1.5-10 dated 2020-11-14

Title: Software for Evaluating Counterfactuals
Description: Inferences about counterfactuals are essential for prediction, answering what if questions, and estimating causal effects. However, when the counterfactuals posed are too far from the data at hand, conclusions drawn from well-specified statistical analyses become based largely on speculation hidden in convenient modeling assumptions that few would be willing to defend. Unfortunately, standard statistical approaches assume the veracity of the model rather than revealing the degree of model-dependence, which makes this problem hard to detect. 'WhatIf' offers easy-to-apply methods to evaluate counterfactuals that do not require sensitivity testing over specified classes of models. If an analysis fails the tests offered here, then we know that substantive inferences will be sensitive to at least some modeling choices that are not based on empirical evidence, no matter what method of inference one chooses to use. 'WhatIf' implements the methods for evaluating counterfactuals discussed in Ga [...truncated...]
Author: Heather Stoll [aut], Gary King [aut], Langche Zeng [aut], Christopher Gandrud [aut], Ben Sabath [aut], Soubhik Barari [ctb], Katalina Toth [cre]
Maintainer: Katalina Toth <katalinaltoth@gmail.com>

This is a re-admission after prior archival of version 1.5-10 dated 2020-11-14

Diff between WhatIf versions 1.5-10 dated 2020-11-14 and 1.5-11 dated 2026-03-25

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Package vostokR updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-23

Title: Solar Potential Calculation for Point Clouds using 'VOSTOK'
Description: Calculate solar potential for LiDAR point clouds using the 'VOSTOK' (Voxel Octree Solar Toolkit) algorithm. This R program provides an interface to the original 'VOSTOK' C++ implementation by Bechtold and Hofle (2020), enabling efficient ray casting and solar position algorithms to compute solar irradiance for each point while accounting for shadowing effects. Integrates seamlessly with the 'lidR' package for LiDAR data processing workflows. The original 'VOSTOK' toolkit is available at <doi:10.11588/data/QNA02B>.
Author: Andrew J. Sanchez Meador [aut, cre], Sebastian Bechtold [aut] , Bernhard Hofle [aut]
Maintainer: Andrew J. Sanchez Meador <andrew.sanchezmeador@nau.edu>

Diff between vostokR versions 0.2.0 dated 2026-03-23 and 0.2.1 dated 2026-03-25

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Package validmind updated to version 2.12.5 with previous version 0.1.2 dated 2024-11-07

Title: Interface to the 'ValidMind' Platform
Description: Deploy, execute, and analyze the results of models hosted on the 'ValidMind' Platform <https://validmind.ai>. This package interfaces with the 'Python' Library API in order to allow advanced diagnostics and insight into trained models all from an 'R' environment.
Author: Andres Rodriguez [aut, cre, cph]
Maintainer: Andres Rodriguez <andres@validmind.ai>

Diff between validmind versions 0.1.2 dated 2024-11-07 and 2.12.5 dated 2026-03-25

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Package serocalculator readmission to version 1.4.1 with previous version 1.4.0 dated 2025-12-11

Title: Estimating Infection Rates from Serological Data
Description: Translates antibody levels measured in cross-sectional population samples into estimates of the frequency with which seroconversions (infections) occur in the sampled populations. Replaces the previous `seroincidence` package.
Author: Kristina Lai [aut, cre], Chris Orwa [aut], Kwan Ho Lee [ctb], Peter Teunis [aut, cph] , Kristen Aiemjoy [aut], Douglas Ezra Morrison [aut]
Maintainer: Kristina Lai <kwlai@ucdavis.edu>

This is a re-admission after prior archival of version 1.4.0 dated 2025-12-11

Diff between serocalculator versions 1.4.0 dated 2025-12-11 and 1.4.1 dated 2026-03-25

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Package relliptical readmission to version 1.4.0 with previous version 1.3.0 dated 2024-02-07

Title: The Truncated Elliptical Family of Distributions
Description: It provides a function for random number generation from members of the truncated multivariate elliptical family of distributions, including truncated versions of the Normal, Student-t, Pearson type VII, Slash, Logistic, and related distributions. Additional distributions can be specified by supplying the density generating function. The package also computes first- and second-order moments, including the covariance matrix, for selected distributions. References used for this package: Galarza, C. E., Matos, L. A., Castro, L. M., & Lachos, V. H. (2022). Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution. Journal of Multivariate Analysis, 189, 104944 <doi:10.1016/j.jmva.2021.104944>; Ho, H. J., Lin, T. I., Chen, H. Y., & Wang, W. L. (2012). Some results on the truncated multivariate t distribution. Journal of Statistical Planning and Inference, 142(1), 25-40 <doi:10.1016/j.jspi.2011.06.006>; [...truncated...]
Author: Katherine A. L. Valeriano [aut, cre] , Larissa Avila Matos [ctb] , Christian Galarza Morales [ctb]
Maintainer: Katherine A. L. Valeriano <katandreina@gmail.com>

This is a re-admission after prior archival of version 1.3.0 dated 2024-02-07

Diff between relliptical versions 1.3.0 dated 2024-02-07 and 1.4.0 dated 2026-03-25

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Package pchc updated to version 1.4 with previous version 1.3 dated 2024-12-06

Title: Bayesian Network Learning with the PCHC and Related Algorithms
Description: Bayesian network learning using the PCHC, FEDHC, MMHC and variants of these algorithms. PCHC stands for PC Hill-Climbing, a new hybrid algorithm that uses PC to construct the skeleton of the BN and then applies the Hill-Climbing greedy search. More algorithms and variants have been added, such as MMHC, FEDHC, and the Tabu search variants, PCTABU, MMTABU and FEDTABU. The relevant papers are: a) Tsagris M. (2021). "A new scalable Bayesian network learning algorithm with applications to economics". Computational Economics, 57(1): 341-367. <doi:10.1007/s10614-020-10065-7>. b) Tsagris M. (2022). "The FEDHC Bayesian Network Learning Algorithm". Mathematics 2022, 10(15): 2604. <doi:10.3390/math10152604>. c) Sevinc V. and Tsagris M. (2024). "On the Hyperparameters of PCTABU and PCHC Bayesian Network Learning Algorithms". <doi:10.21203/rs.3.rs-5137132/v1>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between pchc versions 1.3 dated 2024-12-06 and 1.4 dated 2026-03-25

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Package neuroSCC readmission to version 1.0.1 with previous version 1.0.0 dated 2025-03-27

Title: Bridging Simultaneous Confidence Corridors and PET Neuroimaging
Description: Tools for the structured processing of PET neuroimaging data in preparation for the estimation of Simultaneous Confidence Corridors (SCCs) for one-group, two-group, or single-patient vs group comparisons. The package facilitates PET image loading, data restructuring, integration into a Functional Data Analysis framework, contour extraction, identification of significant results, and performance evaluation. It bridges established packages (e.g., 'oro.nifti') with novel statistical methodologies (e.g., 'ImageSCC') and enables reproducible analysis pipelines, including comparison with Statistical Parametric Mapping ('SPM').
Author: Juan A. Arias Lopez [aut, cre, cph] , Virgilio Gomez Rubio [rev] , Pablo Aguiar Fernandez [ths] , Andrew Haddon Kemp [ths]
Maintainer: Juan A. Arias Lopez <iguanamarina@protonmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2025-03-27

Diff between neuroSCC versions 1.0.0 dated 2025-03-27 and 1.0.1 dated 2026-03-25

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New package ggauto with initial version 0.0.1
Package: ggauto
Title: Automatically Create and Style 'ggplot2' Charts
Version: 0.0.1
Description: Automatically choose an appropriate chart type based on the types and values in the data. Apply more accessible default styling and colours to 'ggplot2' charts.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: dplyr, ggdist, ggforce, gghighlight, ggplot2, ggrepel, ggtext, glue, khroma, lemon, lubridate, rlang, scales, stringr
Suggests: knitr, rmarkdown
Encoding: UTF-8
URL: https://nrennie.rbind.io/ggauto/, http://nrennie.rbind.io/ggauto/
BugReports: https://github.com/nrennie/ggauto/issues
NeedsCompilation: no
Packaged: 2026-03-21 14:23:23 UTC; nrenn
Author: Nicola Rennie [aut, cre, cph]
Maintainer: Nicola Rennie <nrennie.research@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-25 21:10:02 UTC

More information about ggauto at CRAN
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Package Characterization updated to version 3.0.0 with previous version 2.2.0 dated 2025-09-10

Title: Implement Descriptive Studies Using the Common Data Model
Description: An end-to-end framework that enables users to implement various descriptive studies for a given set of target and outcome cohorts for data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Jenna Reps [aut, cre], Patrick Ryan [aut], Chris Knoll [aut]
Maintainer: Jenna Reps <jreps@its.jnj.com>

Diff between Characterization versions 2.2.0 dated 2025-09-10 and 3.0.0 dated 2026-03-25

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New package CausalSpline with initial version 0.1.0
Package: CausalSpline
Title: Nonlinear Causal Dose-Response Estimation via Splines
Version: 0.1.0
Description: Estimates nonlinear causal dose-response functions for continuous treatments using spline-based methods under standard causal assumptions (unconfoundedness / ignorability). Implements three identification strategies: Inverse Probability Weighting (IPW) via the generalised propensity score (GPS), G-computation (outcome regression), and a doubly-robust combination. Natural cubic splines and B-splines are supported for both the exposure-response curve f(T) and the propensity nuisance model. Pointwise confidence bands are obtained via the sandwich estimator or nonparametric bootstrap. Also provides fragility diagnostics including pointwise curvature-based fragility, uncertainty-normalised fragility, and regional integration over user-defined treatment intervals. Builds on the framework of Hirano and Imbens (2004) <doi:10.1111/j.1468-0262.2004.00481.x> for continuous treatments and extends it to fully nonparametric spline estimation.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: splines, stats, utils, ggplot2 (>= 3.4.0), sandwich, boot
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, patchwork, cobalt, dplyr
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/CausalSpline
BugReports: https://github.com/causalfragility-lab/CausalSpline/issues
NeedsCompilation: no
Packaged: 2026-03-21 13:00:44 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-25 21:10:07 UTC

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New package splitr with initial version 0.1.0
Package: splitr
Title: Fast Utilities for Splitting Excel Sheets
Version: 0.1.0
Description: Provides tools for splitting large Excel worksheets into multiple smaller sheets based on a specified number of rows per chunk. The package reads Excel files, partitions the data efficiently using the 'data.table' package, and writes the resulting subsets into a single workbook with multiple sheets using the 'openxlsx' package. This is useful for handling large datasets, preparing data for reporting, and exporting manageable Excel files for downstream analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, openxlsx
NeedsCompilation: no
Packaged: 2026-03-20 23:49:32 UTC; AfrologicInsect
Author: Daniel Amah [aut, cre]
Maintainer: Daniel Amah <danielamahtoday@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-25 20:50:02 UTC

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New package SpatialInference with initial version 0.1.0
Package: SpatialInference
Title: Tools for Statistical Inference with Geo-Coded Data
Version: 0.1.0
Description: Fast computation of Conley (1999) <doi:10.1016/S0304-4076(98)00084-0> spatial heteroskedasticity and autocorrelation consistent (HAC) standard errors for linear regression models with geo-coded data, with a fast C++ implementation by Christensen, Hartman, and Samii (2021) <doi:10.1017/S0020818321000187>. Performance-critical distance calculations, kernel weighting, and variance component accumulation are implemented in C++ via 'Rcpp' and 'RcppArmadillo'. Includes tools for estimating the spatial correlation range from covariograms and correlograms following the bandwidth selection method proposed in Lehner (2026) <doi:10.48550/arXiv.2603.03997>, and diagnostic visualizations for bandwidth selection.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
URL: https://github.com/axlehner/SpatialInference
BugReports: https://github.com/axlehner/SpatialInference/issues
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, sf, data.table, magrittr, stats, tibble
Suggests: lfe, fixest, dplyr, stringr, spdep, ncf, gstat, sandwich, ggplot2, modelsummary, knitr, rmarkdown, geosphere, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-21 03:46:39 UTC; alexanderlehner
Author: Alexander Lehner [aut, cre]
Maintainer: Alexander Lehner <alehner@worldbank.org>
Repository: CRAN
Date/Publication: 2026-03-25 20:50:23 UTC

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Package rollama updated to version 0.3.0 with previous version 0.2.2 dated 2025-04-25

Title: Communicate with 'Ollama' to Run Large Language Models Locally
Description: Wraps the 'Ollama' <https://ollama.com> API, which can be used to communicate with generative large language models locally.
Author: Johannes B. Gruber [aut, cre] , Maximilian Weber [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

Diff between rollama versions 0.2.2 dated 2025-04-25 and 0.3.0 dated 2026-03-25

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New package reproresearchR with initial version 0.1.1
Package: reproresearchR
Title: Companion Package for 'Reproducible Research Using R'
Version: 0.1.1
Description: Provides teaching datasets and helper functions to support the open educational resource Martinez (2026) "Reproducible Research Using R" <doi:10.5281/zenodo.19136755>. The package includes datasets used throughout the book and utilities to list and copy chapter scripts shipped with the package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: rstudioapi
URL: https://martinezc1-reproducible-research-using-r.share.connect.posit.cloud/, https://github.com/martinezc1/reproresearchR
BugReports: https://github.com/martinezc1/reproresearchR/issues
NeedsCompilation: no
Packaged: 2026-03-20 23:09:45 UTC; christianmartinez
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-25 20:50:06 UTC

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Package rdcor updated to version 1.1 with previous version 1.0 dated 2025-12-08

Title: Rank Distance Correlation Coefficient
Description: The rank distance correlation <doi:10.1080/01621459.2020.1782223> is computed. Included also is a function to perform permutation based testing.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between rdcor versions 1.0 dated 2025-12-08 and 1.1 dated 2026-03-25

 DESCRIPTION          |   11 ++++++-----
 MD5                  |    8 ++++----
 NAMESPACE            |    2 +-
 R/rdcor.test.R       |    4 ++--
 man/rdcor-package.Rd |    4 ++--
 5 files changed, 15 insertions(+), 14 deletions(-)

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New package opensimplex2 with initial version 0.0.2
Package: opensimplex2
Title: Generate Multi-Dimensional Open Simplex Noise
Version: 0.0.2
Description: Generate 2, 3 or 4-dimensional gradient noise. The noise function is comparable to classic Perlin noise, but with less directional artefacts and lower computational overhead. It can have applications procedural generation or (flow fields) simulations.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: cpp11
Depends: R (>= 3.5.0)
Suggests: gifski, knitr, ragg, rmarkdown, testthat (>= 3.0.0)
URL: https://pepijn-devries.github.io/opensimplex2/, https://github.com/pepijn-devries/opensimplex2/
BugReports: https://github.com/pepijn-devries/opensimplex2/issues
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-03-21 00:26:33 UTC; vries171
Author: Pepijn de Vries [aut, cre] , Marco Ciaramella [aut, cph], KdotJPG [aut, cph]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-25 20:50:12 UTC

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New package nowcast with initial version 0.1.0
Package: nowcast
Title: Economic Nowcasting with Bridge Equations and Real-Time Evaluation
Version: 0.1.0
Description: Provides bridge equations with optional autoregressive terms for nowcasting low-frequency macroeconomic variables (e.g. quarterly GDP) from higher-frequency indicators (e.g. monthly retail sales). Handles the ragged-edge problem where different indicators have different publication lags via mixed-frequency alignment. Includes pseudo-real-time evaluation with expanding or rolling windows, and the Diebold-Mariano test for comparing forecast accuracy following Harvey, Leybourne, and Newbold (1997) <doi:10.1016/S0169-2070(96)00719-4>. No API calls; designed to work with data from any source.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/nowcast
BugReports: https://github.com/charlescoverdale/nowcast/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), grDevices, graphics, stats
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-21 09:51:26 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-25 21:00:03 UTC

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New package ksformat with initial version 0.3.5
Package: ksformat
Title: 'SAS'-Style 'PROC FORMAT' for R
Version: 0.3.5
Author: Vladimir Larchenko [aut, cre]
Maintainer: Vladimir Larchenko <vladimir.larchenko@keystatsolutions.com>
Description: Provides 'SAS' 'PROC FORMAT'-like functionality for creating and applying value formats in R. Supports mapping values to labels, range-based formatting, reverse formatting (invalue), and proper handling of missing values (NA, NULL, NaN).
License: GPL-3
Encoding: UTF-8
Imports: cli
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-21 11:00:11 UTC; meguty
Repository: CRAN
Date/Publication: 2026-03-25 21:00:10 UTC

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Package gimme updated to version 0.9.4 with previous version 0.9.3 dated 2025-11-13

Title: Group Iterative Multiple Model Estimation
Description: Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.
Author: Stephanie Lane [aut, trl], Kathleen M Gates [aut, cre, ccp], Zachary Fisher [aut], Cara Arizmendi [aut], Peter Molenaar [aut, ccp], Edgar Merkle [ctb], Michael Hallquist [ctb], Hallie Pike [ctb], Teague Henry [ctb], Kelly Duffy [ctb], Lan Luo [ctb], [...truncated...]
Maintainer: Kathleen M Gates <gateskm@email.unc.edu>

Diff between gimme versions 0.9.3 dated 2025-11-13 and 0.9.4 dated 2026-03-25

 DESCRIPTION                  |    8 ++---
 MD5                          |   40 +++++++++++++-------------
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 21 files changed, 234 insertions(+), 63 deletions(-)

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New package ggforestplotR with initial version 0.1.0
Package: ggforestplotR
Title: Publication-Ready Forest Plots with 'ggplot2'
Version: 0.1.0
Description: Transform model coefficients into flexible forest plots using 'ggplot2'. Provides helpers to standardize coefficient data from a range of modelling workflows and render publication-ready forest plots with a consistent interface.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, patchwork, rlang
Suggests: broom, dplyr, knitr, rmarkdown, survival, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
URL: https://thatoneguy006.github.io/ggforestplotR/, https://github.com/thatoneguy006/ggforestplotR
BugReports: https://github.com/thatoneguy006/ggforestplotR/issues
NeedsCompilation: no
Packaged: 2026-03-21 02:18:40 UTC; Carso
Author: Carson Richardson [aut, cre, cph]
Maintainer: Carson Richardson <carson.richardson@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-25 20:50:17 UTC

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New package fonctionr with initial version 0.5.1
Package: fonctionr
Title: Easy Estimation and Vizualisation of Indicators from Data with Complex Design
Version: 0.5.1
Description: Many functions to easily vizualise and estimate indicators such as proportions, means, medians and continuous/discrete distributions from complex survey data. The package also estimates confidence intervals for all indicators, compares different groups and computes different statistical tests.
License: GPL-3
URL: https://jgires.github.io/fonctionr/, https://github.com/jgires/fonctionr/
BugReports: https://github.com/jgires/fonctionr/issues
Depends: R (>= 4.1.0)
Imports: doParallel, dplyr, forcats, foreach, ggnewscale, ggplot2, ggtext, grDevices, rlang, scales, showtext, srvyr, stringr, survey, sysfonts, tibble, tidyr
Suggests: broom, colorspace, knitr, kableExtra, laeken, MetBrewer, openxlsx, patchwork, PrettyCols, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-21 12:40:34 UTC; 00104504
Author: Joel Gires [aut, cre, cph], Francois Ghesquiere [aut]
Maintainer: Joel Gires <joel.gires@vivalis.brussels>
Repository: CRAN
Date/Publication: 2026-03-25 21:00:16 UTC

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Package autotab updated to version 1.0 with previous version 0.1.3 dated 2026-02-08

Title: Variational Autoencoders for Heterogeneous Tabular Data
Description: Build and train a variational autoencoder (VAE) for mixed-type tabular data (continuous, binary, categorical). Models are implemented using 'TensorFlow' and 'Keras' via the 'reticulate' interface, enabling reproducible VAE training for heterogeneous tabular datasets.
Author: Sarah Milligan [aut, cre]
Maintainer: Sarah Milligan <slm1999@bu.edu>

Diff between autotab versions 0.1.3 dated 2026-02-08 and 1.0 dated 2026-03-25

 DESCRIPTION  |    6 ++--
 MD5          |   10 +++----
 R/loss.R     |   82 ++++++++++++++++++++++++++++++++++++++++++++++-------------
 R/model.R    |   39 +++++++++++++---------------
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 6 files changed, 95 insertions(+), 49 deletions(-)

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Package arrow updated to version 23.0.1.2 with previous version 23.0.1.1 dated 2026-02-24

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut, cre], Bryce Mecum [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>

Diff between arrow versions 23.0.1.1 dated 2026-02-24 and 23.0.1.2 dated 2026-03-25

 arrow-23.0.1.1/arrow/tools/cpp/CMakeLists.txt-e         |only
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 arrow-23.0.1.2/arrow/man/schema.Rd                      |    2 -
 arrow-23.0.1.2/arrow/src/arrow_cpp11.h                  |   21 ++++++----------
 arrow-23.0.1.2/arrow/tests/testthat/test-dplyr-mutate.R |    3 ++
 9 files changed, 34 insertions(+), 27 deletions(-)

More information about arrow at CRAN
Permanent link

Package risk.assessr updated to version 3.1.0 with previous version 3.0.1 dated 2025-12-01

Title: Assessing Package Risk Metrics
Description: A reliable and validated tool that captures detailed risk metrics such as R 'CMD' check, test coverage, traceability matrix, documentation, dependencies, reverse dependencies, suggested dependency analysis, repository data, and enhanced reporting for R packages that are local or stored on remote repositories such as GitHub, CRAN, and Bioconductor.
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>

Diff between risk.assessr versions 3.0.1 dated 2025-12-01 and 3.1.0 dated 2026-03-25

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 risk.assessr-3.1.0/risk.assessr/R/assess_pkg_r_package.R                           |   94 
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 risk.assessr-3.1.0/risk.assessr/inst/doc/Popularity_metric.Rmd                     |    3 
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 risk.assessr-3.1.0/risk.assessr/inst/doc/Pubmed_data.Rmd                           |    4 
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 risk.assessr-3.1.0/risk.assessr/inst/doc/define_custom_risk_rules.R                |   80 
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 risk.assessr-3.1.0/risk.assessr/tests/testthat/test-assess_pkg.R                   |  829 ++++--
 risk.assessr-3.1.0/risk.assessr/tests/testthat/test-assess_pkg_r_package.R         |  279 --
 risk.assessr-3.1.0/risk.assessr/tests/testthat/test-check_suggested_exp_funcs.R    |   34 
 risk.assessr-3.1.0/risk.assessr/tests/testthat/test-create_empty_results.R         |    2 
 risk.assessr-3.1.0/risk.assessr/tests/testthat/test-create_traceability_matrix.R   |    3 
 risk.assessr-3.1.0/risk.assessr/tests/testthat/test-dependency_tree.R              | 1258 +++++++++-
 risk.assessr-3.1.0/risk.assessr/tests/testthat/test-documentation_metrics.R        |  286 ++
 risk.assessr-3.1.0/risk.assessr/tests/testthat/test-generate_html_report.R         |  459 +++
 risk.assessr-3.1.0/risk.assessr/tests/testthat/test-generate_traceability_matrix.R |  326 --
 risk.assessr-3.1.0/risk.assessr/tests/testthat/test-get_exports.R                  |  950 +++++++
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 143 files changed, 6306 insertions(+), 2468 deletions(-)

More information about risk.assessr at CRAN
Permanent link

Package OhdsiReportGenerator updated to version 2.1.0 with previous version 2.0.2 dated 2025-12-17

Title: Observational Health Data Sciences and Informatics Report Generator
Description: Extract results into R from the Observational Health Data Sciences and Informatics result database (see <https://ohdsi.github.io/Strategus/results-schema/index.html>) and generate reports/presentations via 'quarto' that summarize results in HTML format. Learn more about 'OhdsiReportGenerator' at <https://ohdsi.github.io/OhdsiReportGenerator/>.
Author: Jenna Reps [aut, cre], Anthony Sena [aut]
Maintainer: Jenna Reps <jreps@its.jnj.com>

Diff between OhdsiReportGenerator versions 2.0.2 dated 2025-12-17 and 2.1.0 dated 2026-03-25

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 OhdsiReportGenerator-2.1.0/OhdsiReportGenerator/R/CohortQueries.R                                                   |  658 ++-
 OhdsiReportGenerator-2.1.0/OhdsiReportGenerator/R/EstimationPlots.R                                                 |    1 
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 OhdsiReportGenerator-2.1.0/OhdsiReportGenerator/R/Generate.R                                                        |   11 
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Package TwoTimeScales updated to version 1.2.0 with previous version 1.0.0 dated 2024-12-23

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

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Package randomForestSRC updated to version 3.6.0 with previous version 3.5.1 dated 2026-02-12

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package fertilmodel updated to version 1.5 with previous version 1.4 dated 2024-11-29

Title: Fertility Models
Description: Four fertility models are fitted using non-linear least squares. These are the Hadwiger, the Gamma, the Model1 and Model2, following the terminology of the following paper: Peristera P. and Kostaki A. (2007). "Modeling fertility in modern populations". Demographic Research, 16(6): 141--194. <doi:10.4054/DemRes.2007.16.6>. Model based averaging is also supported.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package rcheology updated to version 4.5.3.0 with previous version 4.5.2.0 dated 2025-11-16

Title: Data on Base and Recommended Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base and recommended packages of R versions 0.50 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package PhenotypeR updated to version 0.3.4 with previous version 0.3.3 dated 2026-02-23

Title: Assess Study Cohorts Using a Common Data Model
Description: Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Xihang Chen [aut] , Marta Alcalde-Herraiz [aut] , Nuria Mercade-Besora [aut] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package grates updated to version 1.8.0 with previous version 1.7.2 dated 2026-02-27

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package bsitar updated to version 0.3.3 with previous version 0.3.2 dated 2025-02-07

Title: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis
Description: The Super Imposition by Translation and Rotation (SITAR) model is a shape-invariant nonlinear mixed effect model that fits a natural cubic spline mean curve to the growth data and aligns individual-specific growth curves to the underlying mean curve via a set of random effects (see Cole, 2010 <doi:10.1093/ije/dyq115> for details). The non-Bayesian version of the SITAR model can be fit by using the already available R package 'sitar'. Unlike the 'sitar' package which allows modelling of a single outcome only, the 'bsitar' package offers great flexibility in fitting models of varying complexities, including joint modelling of multiple outcomes such as height and weight (multivariate model). Additionally, the 'bsitar' package allows for the simultaneous analysis of an outcome separately for subgroups defined by a factor variable such as gender. This is achieved by fitting separate models for each subgroup (for example males and females for gender variable). An advantage of this appr [...truncated...]
Author: Satpal Sandhu [aut, cre, cph]
Maintainer: Satpal Sandhu <satpal.sandhu@bristol.ac.uk>

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Package ag5Tools updated to version 0.0.3 with previous version 0.0.2 dated 2023-10-12

Title: Toolbox for Downloading and Extracting Copernicus AgERA5 Data
Description: Tools for downloading and extracting data from the Copernicus "Agrometeorological indicators from 1979 to present derived from reanalysis" <https://cds.climate.copernicus.eu/datasets/sis-agrometeorological-indicators?tab=overview> (AgERA5).
Author: David Brown [aut, cre] , Kaue de Sousa [ctb] , Jacob van Etten [ths] , Sytze de Bruin [ths]
Maintainer: David Brown <db877@cornell.edu>

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Package Rogue updated to version 2.2.0 with previous version 2.1.7 dated 2025-07-01

Title: Identify Rogue Taxa in Sets of Phylogenetic Trees
Description: Rogue ("wildcard") taxa are leaves with uncertain phylogenetic position. Their position may vary from tree to tree under inference methods that yield a tree set (e.g. bootstrapping, Bayesian tree searches, maximum parsimony). The presence of rogue taxa in a tree set can potentially remove all information from a consensus tree. The information content of a consensus tree - a function of its resolution and branch support values - can often be increased by removing rogue taxa. 'Rogue' provides an explicitly information-theoretic approach to rogue detection (Smith 2022) <doi:10.1093/sysbio/syab099>, and an interface to 'RogueNaRok' (Aberer et al. 2013) <doi:10.1093/sysbio/sys078>.
Author: Martin R. Smith [aut, cre, cph] , Andre J. Aberer [aut, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package revdbayes updated to version 1.5.7 with previous version 1.5.6 dated 2026-01-11

Title: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Description: Provides functions for the Bayesian analysis of extreme value models. The 'rust' package <https://cran.r-project.org/package=rust> is used to simulate a random sample from the required posterior distribution. The functionality of 'revdbayes' is similar to the 'evdbayes' package <https://cran.r-project.org/package=evdbayes>, which uses Markov Chain Monte Carlo ('MCMC') methods for posterior simulation. In addition, there are functions for making inferences about the extremal index, using the models for threshold inter-exceedance times of Suveges and Davison (2010) <doi:10.1214/09-AOAS292> and Holesovsky and Fusek (2020) <doi:10.1007/s10687-020-00374-3>. Also provided are d,p,q,r functions for the Generalised Extreme Value ('GEV') and Generalised Pareto ('GP') distributions that deal appropriately with cases where the shape parameter is very close to zero.
Author: Paul J. Northrop [aut, cre, cph], Scott D. Grimshaw [ctb]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package renv updated to version 1.2.0 with previous version 1.1.8 dated 2026-03-05

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package PlackettLuce updated to version 0.4.5 with previous version 0.4.4 dated 2025-09-03

Title: Plackett-Luce Models for Rankings
Description: Functions to prepare rankings data and fit the Plackett-Luce model jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce (1959, ISBN:0486441369). The standard Plackett-Luce model is generalized to accommodate ties of any order in the ranking. Partial rankings, in which only a subset of items are ranked in each ranking, are also accommodated in the implementation. Disconnected/weakly connected networks implied by the rankings may be handled by adding pseudo-rankings with a hypothetical item. Optionally, a multivariate normal prior may be set on the log-worth parameters and ranker reliabilities may be incorporated as proposed by Raman and Joachims (2014) <doi:10.1145/2623330.2623654>. Maximum a posteriori estimation is used when priors are set. Methods are provided to estimate standard errors or quasi-standard errors for inference as well as to fit Plackett-Luce trees. See the package website or vignette for further details.
Author: Heather Turner [aut, cre] , Ioannis Kosmidis [aut] , David Firth [aut] , Jacob van Etten [ctb]
Maintainer: Heather Turner <ht@heatherturner.net>

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Package Luminescence updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-12

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

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 217 files changed, 1118 insertions(+), 726 deletions(-)

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Package ggmapinset updated to version 0.5.0 with previous version 0.4.0 dated 2024-12-18

Title: Add Inset Panels to Maps
Description: Helper to add insets based on geom_sf() from 'ggplot2'. This package gives you a drop-in replacement for geom_sf() that supports adding a zoomed inset map without having to create and embed a separate plot.
Author: Carl Suster [aut, cre] , Western Sydney Local Health District, NSW Health [cph]
Maintainer: Carl Suster <carl.suster@sydney.edu.au>

Diff between ggmapinset versions 0.4.0 dated 2024-12-18 and 0.5.0 dated 2026-03-25

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New package effectcheck with initial version 0.2.3
Package: effectcheck
Title: Statistical Consistency Checker for Published Research Results
Version: 0.2.3
Description: A conservative, assumption-aware statistical consistency checker for published research results. Parses test statistics, effect sizes, and confidence intervals from text, PDF, HTML, and Word documents across multiple citation styles including American Psychological Association (APA), Harvard, Frontiers, PLOS ONE, Scientific Reports, Nature Human Behaviour, PeerJ, eLife, PNAS, and others. Recomputes effect sizes using all plausible variants when design is ambiguous, and validates internal consistency. Supports t-tests, F-tests/ANOVA, correlations, chi-square, z-tests, regression, and nonparametric tests. Provides 'statcheck'-compatible API functions for batch processing of files and directories. Explicitly tracks all assumptions and uncertainty in output. Detects decision errors (significance reversals) similar to 'statcheck'. Note: this package is under active development and results should be independently verified. Use is at the sole responsibility of the user. Contributions and veri [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/giladfeldman/escicheck
BugReports: https://github.com/giladfeldman/escicheck/issues
SystemRequirements: poppler-utils (pdftotext) for PDF text extraction
Imports: stringr, stringi, dplyr, purrr, tibble, xml2, rvest, glue, logger, graphics, stats, utils
Suggests: shiny, shinythemes, DT, knitr, rmarkdown, testthat (>= 3.0.0), MBESS, effectsize, jsonlite, tesseract, magick, qpdf, statcheck
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 16:41:04 UTC; filin
Author: Gilad Feldman [aut, cre]
Maintainer: Gilad Feldman <giladfel@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-25 10:50:02 UTC

More information about effectcheck at CRAN
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New package blends with initial version 0.1.0
Package: blends
Title: Blend Colour Palettes
Version: 0.1.0
Description: Blend colour palettes using blend modes such as multiply and screen.
License: MIT + file LICENSE
URL: https://github.com/davidhodge931/blends, https://davidhodge931.github.io/blends/
BugReports: https://github.com/davidhodge931/blends/issues
Depends: R (>= 4.1.0)
Imports: rlang, scales
Suggests: dplyr, ggplot2, jumble, testthat (>= 3.0.0), tidyr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-03-20 21:33:28 UTC; david
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-25 11:00:02 UTC

More information about blends at CRAN
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Package timsac updated to version 1.3.8-6 with previous version 1.3.8-4 dated 2023-09-30

Title: Time Series Analysis and Control Package
Description: Functions for statistical analysis, prediction and control of time series based mainly on Akaike and Nakagawa (1988) <ISBN 978-90-277-2786-2>.
Author: Yoshinori Kawasaki [aut, cre], Junji Nakano [aut], Masami Saga [aut], The Institute of Statistical Mathematics [cph, fnd]
Maintainer: Yoshinori Kawasaki <kawasaki@ism.ac.jp>

Diff between timsac versions 1.3.8-4 dated 2023-09-30 and 1.3.8-6 dated 2026-03-25

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Package pizzarr updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-24

Title: Slice into 'Zarr' Arrays
Description: An implementation of chunked, compressed, N-dimensional arrays for R following the 'Zarr' specification. Provides array and group creation, reading and writing with configurable chunk shapes, compression codecs, and storage backends including in-memory, local directory, and HTTP stores. Supports both 'Zarr' spec V2 (2024) <doi:10.5281/zenodo.11320255> and V3, enabling interoperable access to large array data commonly used in scientific computing and geospatial applications.
Author: David Blodgett [cre, aut] , Mark Keller [aut] , Artuer Manukyan [aut] , zarr-developers [cph]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between pizzarr versions 0.1.0 dated 2026-03-24 and 0.1.1 dated 2026-03-25

 DESCRIPTION                       |    6 +++---
 MD5                               |    6 +++---
 NEWS.md                           |    4 ++++
 tests/testthat/test-01-parallel.R |   10 ++++++----
 4 files changed, 16 insertions(+), 10 deletions(-)

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Package cgmanalysis updated to version 3.2.0 with previous version 3.1.1 dated 2025-06-09

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <tvigers@uw.edu>

Diff between cgmanalysis versions 3.1.1 dated 2025-06-09 and 3.2.0 dated 2026-03-25

 DESCRIPTION      |   12 
 MD5              |    8 
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 R/cgmvariables.R |  730 ++++++++++++++++++++++++++++++++++++++-----------------
 R/cleandata.R    |  220 +++++++++++-----
 5 files changed, 837 insertions(+), 328 deletions(-)

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Package SqlRender updated to version 1.19.5 with previous version 1.19.4 dated 2025-09-26

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include 'Microsoft SQL Server', 'Oracle', 'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', 'Snowflake', 'Azure Synapse Analytics Dedicated', 'Apache Spark', 'SQLite', and 'InterSystems IRIS'.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package sommer updated to version 4.4.5 with previous version 4.4.4 dated 2025-11-26

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between sommer versions 4.4.4 dated 2025-11-26 and 4.4.5 dated 2026-03-25

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Package simStateSpace updated to version 1.2.16 with previous version 1.2.15 dated 2026-02-06

Title: Simulate Data from State Space Models
Description: Provides a streamlined and user-friendly framework for simulating data in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. This package was designed to generate data for the simulations performed in Pesigan, Russell, and Chow (2025) <doi:10.1037/met0000779>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph] , Michael A. Russell [ctb] , Sy-Miin Chow [ctb]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Permanent link

Package psych updated to version 2.6.3 with previous version 2.6.1 dated 2026-02-03

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox developed originally for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Validation and cross validation of scales developed using basic machine learning algorithms are provided, as are functions for simulating and testing particular item and test structures. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, including mediation models, factor analysis and structural equation models are created using basic graphics. Some of the fu [...truncated...]
Author: William Revelle [aut, cre]
Maintainer: William Revelle <revelle@northwestern.edu>

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Package peperr updated to version 1.7 with previous version 1.6 dated 2025-09-15

Title: Parallelised Estimation of Prediction Error
Description: Designed for prediction error estimation through resampling techniques, possibly accelerated by parallel execution on a compute cluster. Newly developed model fitting routines can be easily incorporated. Methods used in the package are detailed in Porzelius Ch., Binder H. and Schumacher M. (2009) <doi:10.1093/bioinformatics/btp062> and were used, for instance, in Porzelius Ch., Schumacher M. and Binder H. (2011) <doi:10.1007/s00180-011-0236-6>.
Author: Christine Porzelius [aut], Harald Binder [aut], Frederic Bertrand [cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package Pade updated to version 1.1.0 with previous version 1.0.9 dated 2026-01-07

Title: Padé Approximant Coefficients
Description: Given a vector of Taylor series coefficients of sufficient length as input, the function returns the numerator and denominator coefficients for the Padé approximant of appropriate order (Baker, 1975) <ISBN:9780120748556>.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

Diff between Pade versions 1.0.9 dated 2026-01-07 and 1.1.0 dated 2026-03-25

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Package gdalraster updated to version 2.5.0 with previous version 2.4.0 dated 2025-12-18

Title: Bindings to 'GDAL'
Description: API bindings to the Geospatial Data Abstraction Library ('GDAL', <https://gdal.org>). Implements the 'GDAL' Raster and Vector Data Models. Bindings are implemented with 'Rcpp' modules. Exposed C++ classes and stand-alone functions wrap much of the 'GDAL' API and provide additional functionality. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Class 'GDALRaster' encapsulates a 'GDALDataset' and its raster band objects. Class 'GDALVector' encapsulates an 'OGRLayer' and the 'GDALDataset' that contains it. Initial bindings are provided to the unified 'gdal' command line interface added in 'GDAL' 3.11. C++ stand-alone functions provide bindings to most 'GDAL' "traditional" raster and vector utilities, including 'OGR' facilities for vector geoprocessing, several algorithms, as well as the Geometry API ('GEOS' via 'GDAL' headers), the Spatial Reference Systems API, and methods for coordinate transformation. Bindings to the Virtual Systems In [...truncated...]
Author: Chris Toney [aut, cre] , Michael D. Sumner [aut] , Pepijn de Vries [ctb] , Frank Warmerdam [ctb, cph] , Even Rouault [ctb, cph] , Marius Appel [ctb, cph] , Daniel James [ctb, cph] , Peter Dimov [ctb, cph]
Maintainer: Chris Toney <jctoney@gmail.com>

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Package adbcdrivermanager updated to version 0.22.0-2 with previous version 0.22.0-1 dated 2026-03-09

Title: 'Arrow' Database Connectivity ('ADBC') Driver Manager
Description: Provides a developer-facing interface to 'Arrow' Database Connectivity ('ADBC') for the purposes of driver development, driver testing, and building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package SQUIRE (with last version 1.0.1) was removed from CRAN

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

2025-11-30 1.0.1
2025-11-19 1.0.0

Permanent link
Package dream updated to version 1.1.1 with previous version 1.0.1 dated 2026-02-07

Title: Dynamic Relational Event Analysis and Modeling
Description: A set of tools for relational and event analysis, including two- and one-mode network brokerage and structural measures, and helper functions optimized for relational event analysis with large datasets, including creating relational risk sets, computing network statistics, estimating relational event models, and simulating relational event sequences. For more information on relational event models, see Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x>, Lerner and Lomi (2020) <doi:10.1017/nws.2019.57>, Bianchi et al. (2024) <doi:10.1146/annurev-statistics-040722-060248>, and Butts et al. (2023) <doi:10.1017/nws.2023.9>. In terms of the structural measures in this package, see Leal (2025) <doi:10.1177/00491241251322517>, Burchard and Cornwell (2018) <doi:10.1016/j.socnet.2018.04.001>, and Fujimoto et al. (2018) <doi:10.1017/nws.2018.11>. This package was developed with support from the National Science Foundation’s (NSF) Human Networks and Data [...truncated...]
Author: Kevin A. Carson [aut, cre] , Diego F. Leal [aut]
Maintainer: Kevin A. Carson <kacarson@arizona.edu>

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 dream-1.0.1/dream/R/rem_triadic_deprecatedV100.R                      |only
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 dream-1.0.1/dream/R/tm_EgoDisHomophily_deprecatedV100.R               |only
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 dream-1.0.1/dream/man/processOMEventSeq.Rd                            |only
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 dream-1.1.1/dream/DESCRIPTION                                         |    8 
 dream-1.1.1/dream/MD5                                                 |  124 ---
 dream-1.1.1/dream/NAMESPACE                                           |   48 -
 dream-1.1.1/dream/NEWS.md                                             |   11 
 dream-1.1.1/dream/R/createriskset.R                                   |  227 +++++
 dream-1.1.1/dream/R/degreestatrem.R                                   |  397 +++++++++
 dream-1.1.1/dream/R/dream.R                                           |    6 
 dream-1.1.1/dream/R/rem_dyadiccutoffhelp.R                            |  130 +++
 dream-1.1.1/dream/R/rem_fourcyles.R                                   |  265 ++++++
 dream-1.1.1/dream/R/rem_reciprocity.R                                 |  228 +++++
 dream-1.1.1/dream/R/rem_repetition.R                                  |  222 +++++
 dream-1.1.1/dream/R/rem_stat_persistence.R                            |  177 ++++
 dream-1.1.1/dream/R/rem_stat_preferential_attachment.R                |  147 +++
 dream-1.1.1/dream/R/rem_stat_recency.R                                |  220 +++++
 dream-1.1.1/dream/R/remtriadicformations.R                            |  406 +++++++++-
 dream-1.1.1/dream/man/create_riskset.Rd                               |    4 
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 dream-1.1.1/dream/man/dream.Rd                                        |    6 
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 dream-1.1.1/dream/man/remstats_degree.Rd                              |    6 
 dream-1.1.1/dream/man/remstats_dyadcut.Rd                             |    4 
 dream-1.1.1/dream/man/remstats_fourcycles.Rd                          |    6 
 dream-1.1.1/dream/man/remstats_persistence.Rd                         |    6 
 dream-1.1.1/dream/man/remstats_prefattachment.Rd                      |    6 
 dream-1.1.1/dream/man/remstats_recency.Rd                             |    6 
 dream-1.1.1/dream/man/remstats_reciprocity.Rd                         |    4 
 dream-1.1.1/dream/man/remstats_repetition.Rd                          |    6 
 dream-1.1.1/dream/man/remstats_triads.Rd                              |    6 
 100 files changed, 2505 insertions(+), 171 deletions(-)

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