Tue, 24 Mar 2026

Package tuber updated to version 1.4.0 with previous version 1.1.0 dated 2025-08-24

Title: Client for the YouTube API
Description: Get comments posted on YouTube videos, information on how many times a video has been liked, search for videos with particular content, and much more. You can also scrape captions from a few videos. To learn more about the YouTube API, see <https://developers.google.com/youtube/v3/>.
Author: Gaurav Sood [aut, cre], Kate Lyons [ctb], John Muschelli [ctb]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between tuber versions 1.1.0 dated 2025-08-24 and 1.4.0 dated 2026-03-24

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More information about tuber at CRAN
Permanent link

Package Riemann updated to version 0.1.7 with previous version 0.1.6 dated 2025-09-26

Title: Learning with Data on Riemannian Manifolds
Description: We provide a variety of algorithms for manifold-valued data, including Fréchet summaries, hypothesis testing, clustering, visualization, and other learning tasks. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> for general exposition to statistics on manifolds.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

Diff between Riemann versions 0.1.6 dated 2025-09-26 and 0.1.7 dated 2026-03-24

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Permanent link

Package bigPCAcpp updated to version 0.9.1 with previous version 0.9.0 dated 2025-10-20

Title: Principal Component Analysis for 'bigmemory' Matrices
Description: High performance principal component analysis routines that operate directly on bigmemory::big.matrix() objects. The package avoids materialising large matrices in memory by streaming data through 'BLAS' and 'LAPACK' kernels and provides helpers to derive scores, loadings, correlations, and contribution diagnostics, including utilities that stream results into 'bigmemory'-backed matrices for file-based workflows. Additional interfaces expose 'scalable' singular value decomposition, robust PCA, and robust SVD algorithms so that users can explore large matrices while tempering the influence of outliers. 'Scalable' principal component analysis is also implemented, Elgamal, Yabandeh, Aboulnaga, Mustafa, and Hefeeda (2015) <doi:10.1145/2723372.2751520>.
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between bigPCAcpp versions 0.9.0 dated 2025-10-20 and 0.9.1 dated 2026-03-24

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Permanent link

Package plsRbeta updated to version 0.3.3 with previous version 0.3.2 dated 2025-09-20

Title: Partial Least Squares Regression for Beta Regression Models
Description: Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <https://ojs-test.apps.ocp.math.cnrs.fr/index.php/J-SFdS/article/view/215>) and k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between plsRbeta versions 0.3.2 dated 2025-09-20 and 0.3.3 dated 2026-03-24

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Package StratifiedMedicine updated to version 1.0.7 with previous version 1.0.5 dated 2022-03-29

Title: Stratified Medicine
Description: A toolkit for stratified medicine, subgroup identification, and precision medicine. Current tools include (1) filtering models (reduce covariate space), (2) patient-level estimate models (counterfactual patient-level quantities, such as the conditional average treatment effect), (3) subgroup identification models (find subsets of patients with similar treatment effects), and (4) treatment effect estimation and inference (for the overall population and discovered subgroups). These tools can be customized and are directly used in PRISM (patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019 <doi:10.48550/arXiv.1912.03337>).
Author: Thomas Jemielita [aut, cre]
Maintainer: Thomas Jemielita <thomasjemielita@gmail.com>

Diff between StratifiedMedicine versions 1.0.5 dated 2022-03-29 and 1.0.7 dated 2026-03-24

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Package spatialAtomizeR updated to version 0.2.8 with previous version 0.2.7 dated 2026-03-08

Title: Spatial Analysis with Misaligned Data Using Atom-Based Regression Models
Description: Implements atom-based regression models (ABRM) for analyzing spatially misaligned data. Provides functions for simulating misaligned spatial data, preparing NIMBLE model inputs, running MCMC diagnostics, and providing results. All main functions return S3 objects with print(), summary(), and plot() methods for intuitive result exploration. Methods originally described in Mugglin et al. (2000) <doi:10.1080/01621459.2000.10474279>, further investigated in Trevisani & Gelfand (2013), and applied in Nethery et al. (2023) <doi:10.1101/2023.01.10.23284410>.
Author: Yunzhe Qian [aut, cre], Rachel Nethery [aut], Nancy Krieger [ctb] , Nykesha Johnson [ctb]
Maintainer: Yunzhe Qian <qyzanemos@gmail.com>

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Package c060 updated to version 0.5-0 with previous version 0.4-0 dated 2025-09-19

Title: Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models
Description: The c060 package provides additional functions to perform stability selection, model validation and parameter tuning for glmnet models.
Author: Martin Sill [aut], Thomas Hielscher [aut], Manuela Zucknick [aut], Natalia Becker [aut], Frederic Bertrand [cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package gmfamm updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-18

Title: Generalized Multivariate Functional Additive Models
Description: Supply implementation to model generalized multivariate functional data using Bayesian additive mixed models of R package 'bamlss' via a latent Gaussian process (see Umlauf, Klein, Zeileis (2018) <doi:10.1080/10618600.2017.1407325>).
Author: Nikolaus Umlauf [aut] , Alexander Volkmann [aut, cre]
Maintainer: Alexander Volkmann <alexandervolkmann8@gmail.com>

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Package Fiscal updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-16

Title: Income Tax Calculations (UK)
Description: Income tax calculations for England, Northern Ireland and Wales. Estimate annual income tax within the different taxation bands at specified levels of both taxable income and the Personal Allowance, emulating the results obtained at <https://www.gov.uk/estimate-income-tax>. Calculate the standard Personal Allowance at various levels of taxable income. Estimate the personal allowance required to recoup a specified amount of income tax.
Author: Mark Eisler [aut, cre, cph]
Maintainer: Mark Eisler <mark@markeisler.com>

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Package bayesMeanScale updated to version 0.2.2 with previous version 0.2.1 dated 2025-01-08

Title: Bayesian Post-Estimation on the Mean Scale
Description: Computes Bayesian posterior distributions of predictions, marginal effects, and differences of marginal effects for various generalized linear models. Importantly, the posteriors are on the mean (response) scale, allowing for more natural interpretation than summaries on the link scale. Also, predictions and marginal effects of the count probabilities for Poisson and negative binomial models can be computed.
Author: David M. Dalenberg [aut, cre]
Maintainer: David M. Dalenberg <dalenbe2@gmail.com>

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Package plsdof updated to version 0.5-0 with previous version 0.4-0 dated 2025-09-13

Title: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression
Description: The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures (Kramer and Sugiyama 2012 <doi:10.1198/jasa.2011.tm10107>). Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.
Author: Nicole Kraemer [aut], Mikio L. Braun [aut], Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package meteo updated to version 2.0-4 with previous version 2.0-3 dated 2024-04-18

Title: RFSI & STRK Interpolation for Meteo and Environmental Variables
Description: Random Forest Spatial Interpolation (RFSI, Sekulić et al. (2020) <doi:10.3390/rs12101687>) and spatio-temporal geostatistical (spatio-temporal regression Kriging (STRK)) interpolation for meteorological (Kilibarda et al. (2014) <doi:10.1002/2013JD020803>, Sekulić et al. (2020) <doi:10.1007/s00704-019-03077-3>) and other environmental variables. Contains global spatio-temporal models calculated using publicly available data.
Author: Milan Kilibarda [aut] , Aleksandar Sekulic [aut, cre] , Tomislav Hengl [ctb], Edzer Pebesma [ctb], Benedikt Graeler [ctb]
Maintainer: Aleksandar Sekulic <asekulic@grf.bg.ac.rs>

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Package geobounds updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-11

Title: Download Map Data from 'geoBoundaries'
Description: Tools to download data from 'geoBoundaries' <https://www.geoboundaries.org/>. Several administration levels available. See Runfola, D. et al. (2020) geoBoundaries: A global database of political administrative boundaries. PLOS ONE 15(4): 1-9. <doi:10.1371/journal.pone.0231866>.
Author: Diego Hernangomez [aut, cre, cph] , William and Mary geoLab [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package micss updated to version 0.3.1 with previous version 0.3.0 dated 2026-03-17

Title: Modified Iterative Cumulative Sum of Squares Algorithm
Description: Companion package of Carrion-i-Silvestre & Sansó (2026): "Testing for Constant Unconditional Variance in Heavy-Tailed Time Series". It implements the Modified Iterative Cumulative Sum of Squares Algorithm, which is an extension of the Iterative Cumulative Sum of Squares (ICSS) Algorithm of Inclan and Tiao (1994), and it checks for changes in the unconditional variance of a time series controlling for the tail index of the underlying distribution. The fourth order moment is estimated non-parametrically to avoid the size problems when the innovations are non-Gaussian (see, Sansó et al., 2004). Critical values and p-values are generated using a Generalized Extreme Value distribution approach. References Carrion-i-Silvestre J.J & Sansó A (2026) <doi:10.1080/03610918.2026.2615207>. Inclan C & Tiao G.C (1994) <doi:10.1080/01621459.1994.10476824>, Sansó A & Aragó V & Carrion-i-Silvestre J.L (2004) <https://dspace.uib.es/xmlui/bitstream/handle/11201/152078/52 [...truncated...]
Author: Josep Lluis Carrion-i-Silvestre [aut], Andreu Sanso [aut, cre]
Maintainer: Andreu Sanso <andreu.sanso@uib.eu>

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Package mascarade updated to version 0.3.3 with previous version 0.3.2 dated 2026-03-06

Title: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Description: Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>

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Package FDboost updated to version 1.1-4 with previous version 1.1-3 dated 2025-08-23

Title: Boosting Functional Regression Models
Description: Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.
Author: Sarah Brockhaus [aut] , David Ruegamer [aut, cre] , Almond Stoecker [aut] , Torsten Hothorn [ctb] , with contributions by many others [ctb]
Maintainer: David Ruegamer <david.ruegamer@gmail.com>

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Package threshr updated to version 1.0.8 with previous version 1.0.7 dated 2025-10-08

Title: Threshold Selection and Uncertainty for Extreme Value Analysis
Description: Provides functions for the selection of thresholds for use in extreme value models, based mainly on the methodology in Northrop, Attalides and Jonathan (2017) <doi:10.1111/rssc.12159>. It also performs predictive inferences about future extreme values, based either on a single threshold or on a weighted average of inferences from multiple thresholds, using the 'revdbayes' package <https://cran.r-project.org/package=revdbayes>. At the moment only the case where the data can be treated as independent identically distributed observations is considered.
Author: Paul J. Northrop [aut, cre, cph], Nicolas Attalides [aut]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package scpropreg updated to version 1.1 with previous version 1.0 dated 2025-11-20

Title: Simplicially Constrained Regression Models for Proportions
Description: Simplicially constrained regression models for proportions in both sides. The constraint is always that the betas are non-negative and sum to 1. References: Iverson S.J.., Field C., Bowen W.D. and Blanchard W. (2004) "Quantitative Fatty Acid Signature Analysis: A New Method of Estimating Predator Diets". Ecological Monographs, 74(2): 211-235. <doi:10.1890/02-4105>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package robustmatrix updated to version 0.1.5 with previous version 0.1.4 dated 2025-05-14

Title: Robust Matrix-Variate Parameter Estimation
Description: Robust covariance estimation for matrix-valued data and data with Kronecker-covariance structure using the Matrix Minimum Covariance Determinant (MMCD) estimators and outlier explanation using and Shapley values.
Author: Marcus Mayrhofer [aut, cre], Una Radojicic [aut], Peter Filzmoser [aut]
Maintainer: Marcus Mayrhofer <marcus.mayrhofer@tuwien.ac.at>

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Package MultiBD updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-12

Title: Multivariate Birth-Death Processes
Description: Computationally efficient functions to provide direct likelihood-based inference for partially-observed multivariate birth-death processes. Such processes range from a simple Yule model to the complex susceptible-infectious-removed model in disease dynamics. Efficient likelihood evaluation facilitates maximum likelihood estimation and Bayesian inference.
Author: Lam S.T. Ho [aut], Marc A. Suchard [aut, cre], Forrest W. Crawford [aut], Jason Xu [ctb], Vladimir N. Minin [ctb]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

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Package openscoring updated to version 1.1.0 with previous version 1.0.6 dated 2026-02-11

Title: 'Open Scoring' API Client
Description: Creativity research involves the need to score open-ended problems. Usually done by humans, automatic scoring using AI becomes more and more accurate. This package provides a simple interface to the 'Open Scoring' API <https://openscoring.du.edu/docs>, leading creativity scoring technology by Organiscak et al. (2023) <doi:10.1016/j.tsc.2023.101356>. With it, you can score your own data directly from an R script.
Author: Jakub Jedrusiak [aut, cre, cph] , Peter Organisciak [ctb] , Selcuk Acar [ctb] , Denis Dumas [ctb] , Pier-Luc de Chantal [ctb] , Kelly Berthiaume [ctb]
Maintainer: Jakub Jedrusiak <jakub.jedrusiak2@uwr.edu.pl>

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Package toscca updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-07

Title: Thresholded Ordered Sparse CCA
Description: Performs Thresholded Ordered Sparse Canonical Correlation Analysis (CCA). For more details see Senar, N. (2024) <doi:10.1093/bioadv/vbae021> and Senar, N. et al. (2025) <doi:10.48550/arXiv.2503.15140>.
Author: Nuria Senar [aut, cre]
Maintainer: Nuria Senar <n.senarvilladeamigo@amsterdamumc.nl>

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Package qgcomp updated to version 2.18.10 with previous version 2.18.7 dated 2025-08-20

Title: Quantile G-Computation
Description: G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <alex.keil@nih.gov>

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Package multiDEGGs updated to version 1.2.0 with previous version 1.1.3 dated 2026-02-02

Title: Multi-Omic Differentially Expressed Gene-Gene Pairs
Description: Performs multi-omic differential network analysis by revealing differential interactions between molecular entities (genes, proteins, transcription factors, or other biomolecules) across the omic datasets provided. For each omic dataset, a differential network is constructed where links represent statistically significant differential interactions between entities. These networks are then integrated into a comprehensive visualization using distinct colors to distinguish interactions from different omic layers. This unified display allows interactive exploration of cross-omic patterns, such as differential interactions present at both transcript and protein levels. For each link, users can access differential statistical significance metrics (p values or adjusted p values, calculated via robust or traditional linear regression with interaction term) and differential regression plots. The methods implemented in this package are described in Sciacca et al. (2023) <doi:10.1093/bioinform [...truncated...]
Author: Elisabetta Sciacca [aut, cre, cph] , Myles Lewis [ctb]
Maintainer: Elisabetta Sciacca <e.sciacca@qmul.ac.uk>

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Package cols updated to version 1.6 with previous version 1.5 dated 2024-12-20

Title: Constrained Ordinary Least Squares
Description: Constrained ordinary least squares is performed. One constraint is that all beta coefficients (including the constant) cannot be negative. They can be either 0 or strictly positive. Another constraint is that the sum of the beta coefficients equals a constant. References: Hansen, B. E. (2022). Econometrics, Princeton University Press. <ISBN:9780691235899>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between cols versions 1.5 dated 2024-12-20 and 1.6 dated 2026-03-24

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Package tidyaudit updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-27

Title: Pipeline Audit Trails and Data Diagnostics for 'tidyverse' Workflows
Description: Provides pipeline audit trails and data diagnostics for 'tidyverse' workflows. The audit trail system captures lightweight metadata snapshots at each step of a pipeline, building a structured record without storing the data itself. Operation-aware taps enrich snapshots with join match rates and filter drop statistics. Trails can be serialized to 'JSON' or 'RDS' and exported as self-contained 'HTML' visualizations. Also includes diagnostic functions for interactive data analysis including frequency tables, string quality auditing, and data comparison.
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>

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Package plsRcox updated to version 1.8.2 with previous version 1.8.1 dated 2026-02-28

Title: Partial Least Squares Regression for Cox Models and Related Techniques
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package eq5dsuite updated to version 1.0.2 with previous version 1.0.1 dated 2025-06-24

Title: Handling and Analysing EQ-5d Data
Description: The EQ-5D is a widely-used standarized instrument for measuring Health Related Quality Of Life (HRQOL), developed by the EuroQol group <https://euroqol.org/>. It assesses five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, using either a three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale. Scores from these dimensions are commonly converted into a single utility index using country-specific value sets, which are critical in clinical and economic evaluations of healthcare and in population health surveys. The eq5dsuite package enables users to calculate utility index values for the EQ-5D instruments, including crosswalk utilities using the original crosswalk developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008> (mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently developed reverse crosswalk by van Hout et al. (2021) <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses to EQ-5D-5L in [...truncated...]
Author: Kim Rand [aut, cre] , Oliver Rivero-Arias [aut] , Iryna Schlackow [aut] , Anabel Estevez-Carrillo [aut]
Maintainer: Kim Rand <krand@mathsinhealth.com>

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Package bigalgebra updated to version 3.1.0 with previous version 3.0.0 dated 2025-10-05

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

Diff between bigalgebra versions 3.0.0 dated 2025-10-05 and 3.1.0 dated 2026-03-24

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Package multilevLCA updated to version 2.1.4 with previous version 2.1.2 dated 2025-11-06

Title: Estimates and Plots Single-Level and Multilevel Latent Class Models
Description: Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications. For more technical details, see Lyrvall et al. (2025) <doi:10.1080/00273171.2025.2473935>.
Author: Roberto Di Mari [aut, cre], Johan Lyrvall [aut], Zsuzsa Bakk [ctb], Jennifer Oser [ctb], Jouni Kuha [ctb]
Maintainer: Roberto Di Mari <roberto.dimari@unict.it>

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New package tabstats with initial version 0.1.0
Package: tabstats
Title: A Lightweight Toolkit for Displaying Customizable Tables
Version: 0.1.0
Maintainer: Joshua Marie <joshua.marie.k@gmail.com>
Description: A lightweight toolkit that provides functions for printing tables from input data in the R console or terminal with customizable formatting. Supported outputs include American Psychological Association (APA)-style tables (American Psychological Association, 2020, ISBN:9781433832178), correlation matrices, contingency tables, and two-column summary tables.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
URL: https://github.com/joshuamarie/tabstats
BugReports: https://github.com/joshuamarie/tabstats/issues
Imports: cli, tibble, vctrs, utils, stats
Suggests: broom, rstatix, glue, tidyr, testthat (>= 3.0.0), knitr, rmarkdown, fansi, crayon, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 11:32:11 UTC; DESKTOP
Author: Joshua Marie [aut, cre]
Repository: CRAN
Date/Publication: 2026-03-24 10:10:03 UTC

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New package subtools with initial version 1.1.0
Package: subtools
Title: Read and Manipulate Video Subtitles
Version: 1.1.0
Date: 2026-03-16
Maintainer: Francois Keck <francois.keck@gmail.com>
Description: A collection of functions to read, write and manipulate video subtitles. Supported formats include 'srt', 'subrip', 'sub', 'subviewer', 'microdvd', 'ssa', 'ass', 'substation', 'vtt', and 'webvtt'.
Language: en-GB
License: GPL-3
Encoding: UTF-8
Imports: methods, utils, jsonlite, tibble, dplyr, readr, hms, tidytext, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 14:28:28 UTC; as80fywe
Author: Francois Keck [aut, cre, cph] , Bob Rudis [ctb] , Alban Sagouis [ctb]
Repository: CRAN
Date/Publication: 2026-03-24 10:40:02 UTC

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New package stopmotion with initial version 0.1.0
Package: stopmotion
Title: Build Stop Motion Animations from Image Sequences
Version: 0.1.0
License: MIT + file LICENSE
Description: A pipeline-friendly toolkit for assembling stop motion animations from sequences of still images. Provides functions to read image directories, restructure frame sequences (duplicate, splice, arrange), apply per-frame pixel transformations (rotate, wiggle, flip, flop, blur, scale, crop, trim, border, background), and export the result as a GIF. All transformation functions accept a 'frames' argument to target any subset of frames, bridging the gap between 'magick' functions that operate on an entire image stack and fine-grained stop motion editing. Image processing is performed via 'ImageMagick Studio LLC' (2024) <https://imagemagick.org>.
Imports: magick, checkmate
Suggests: testthat (>= 3.0.0), withr, knitr, quarto
VignetteBuilder: quarto
Language: en-GB
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-20 14:50:06 UTC; as80fywe
Author: Alban Sagouis [aut, cre, cph]
Maintainer: Alban Sagouis <sagouis@pm.me>
Repository: CRAN
Date/Publication: 2026-03-24 10:30:03 UTC

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Package RPIV updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-19

Title: Residual Prediction Tests for Well-Specification of Instrumental Variable Models
Description: Two tests for the well-specification of the linear instrumental variable model. The first test is based on trying to predict the residuals of a two-stage least-squares regression using a random forest. The second test is robust to weak-identification and based on trying to predict the residuals for a particular candidate parameter and can also be used to construct confidence sets with an Anderson-Rubin-type inversion. Details can be found in Scheidegger, Londschien and Bühlmann (2025) "Machine-learning-powered specification testing in linear instrumental variable models" <doi:10.48550/arXiv.2506.12771>.
Author: Cyrill Scheidegger [aut, cre, cph]
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>

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Package resourcer updated to version 1.5.1 with previous version 1.5.0 dated 2026-02-06

Title: Resource Resolver
Description: A resource represents some data or a computation unit. It is described by a URL and credentials. This package proposes a Resource model with "resolver" and "client" classes to facilitate the access and the usage of the resources.
Author: Yannick Marcon [aut, cre] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between resourcer versions 1.5.0 dated 2026-02-06 and 1.5.1 dated 2026-03-24

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New package prettyPanelMatch with initial version 0.2.0
Package: prettyPanelMatch
Title: 'ggplot2'-Based Visualization for 'PanelMatch' (Imai, Kim, Wang 2023) Results
Version: 0.2.0
Description: Provides 'ggplot2'-based plotting functions for 'PanelMatch' (Imai, Kim, Wang (2023) <doi:10.1111/ajps.12685>) results. Tidy-and-plot function pairs for three 'PanelMatch' outputs: treatment effect estimates (PanelEstimate()), placebo test diagnostics (placebo_test()), and covariate balance checks (get_covariate_balance()). Supports multiple models, significance indicators, faceted balance grids, and full 'ggplot2' extensibility.
License: MIT + file LICENSE
URL: https://github.com/jacqpark/prettyPanelMatch
BugReports: https://github.com/jacqpark/prettyPanelMatch/issues
Encoding: UTF-8
Imports: ggplot2 (>= 3.4.0), dplyr, rlang
Suggests: PanelMatch, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-20 10:30:25 UTC; jacqpark
Author: Jihye Park [aut, cre]
Maintainer: Jihye Park <Jihye.Park@unige.ch>
Repository: CRAN
Date/Publication: 2026-03-24 10:10:10 UTC

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New package pizzarr with initial version 0.1.0
Package: pizzarr
Title: Slice into 'Zarr' Arrays
Version: 0.1.0
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.
Language: en-US
License: MIT + file LICENSE
BugReports: https://github.com/zarr-developers/pizzarr/issues
URL: https://zarr.dev/pizzarr/
Depends: R (>= 4.1.0)
Imports: jsonlite, stats, R6, qs2, stringr, memoise, utils
Encoding: UTF-8
Suggests: testthat, knitr, covr, bslib, pkgdown, rmarkdown, crul, blosc, vcr (>= 0.6.0), pbapply, parallel, future, future.apply, bench, bit64, withr
NeedsCompilation: no
Packaged: 2026-03-20 15:09:07 UTC; dblodgett
Author: David Blodgett [cre, aut] , Mark Keller [aut] , Artuer Manukyan [aut] , zarr-developers [cph]
Maintainer: David Blodgett <dblodgett@usgs.gov>
Repository: CRAN
Date/Publication: 2026-03-24 10:40:08 UTC

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New package outrigger with initial version 1.1.0
Package: outrigger
Title: Outrigger Regression
Version: 1.1.0
Maintainer: Elliot H. Young <ey244@cam.ac.uk>
Description: Performs outrigger local polynomial regression/ distributional adaptation, using a score-matching spline estimator of the conditional score function. Details of the method can be found in Young, Shah and Samworth (2026) <doi:10.48550/arXiv.2603.11282>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp, np, mgcv, RColorBrewer
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-03-20 11:16:11 UTC; elliotyoung
Author: Elliot H. Young [cre], Rajen D. Shah [aut], Richard J. Samworth [aut]
Repository: CRAN
Date/Publication: 2026-03-24 10:10:15 UTC

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Package gibasa updated to version 1.1.3 with previous version 1.1.2 dated 2025-02-16

Title: An Alternative 'Rcpp' Wrapper of 'MeCab'
Description: A plain 'Rcpp' wrapper for 'MeCab' that can segment Chinese, Japanese, and Korean text into tokens. The main goal of this package is to provide an alternative to 'tidytext' using morphological analysis.
Author: Akiru Kato [aut, cre], Shogo Ichinose [aut], Taku Kudo [aut], Jorge Nocedal [ctb], Nippon Telegraph and Telephone Corporation [cph]
Maintainer: Akiru Kato <paithiov909@gmail.com>

Diff between gibasa versions 1.1.2 dated 2025-02-16 and 1.1.3 dated 2026-03-24

 DESCRIPTION           |   14 +++----
 LICENSE.note          |   37 +++++++++++++++++++
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 NAMESPACE             |    1 
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 README.md             |   93 +++++++++++++++++++++++++++-----------------------
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 22 files changed, 178 insertions(+), 148 deletions(-)

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Package bigergm updated to version 1.2.6 with previous version 1.2.5 dated 2025-10-05

Title: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks
Description: A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut], Shota Komatsu [aut], Juan Nelson Martinez Dahbura [aut], Takanori Nishida [aut], Angelo Mele [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

Diff between bigergm versions 1.2.5 dated 2025-10-05 and 1.2.6 dated 2026-03-24

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 12 files changed, 99 insertions(+), 67 deletions(-)

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New package metaDyn with initial version 1.0.1
Package: metaDyn
Title: Multivariate Meta-Analysis of Dynamic Model Estimates
Version: 1.0.1
Description: Fits fixed-, random-, or mixed-effects multivariate meta-analysis models using dynamic model estimates from each individual building on and extending Lee and Gates (2023) <doi:10.1080/00273171.2023.2229310>.
URL: https://github.com/jeksterslab/metaDyn, https://jeksterslab.github.io/metaDyn/
BugReports: https://github.com/jeksterslab/metaDyn/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0), OpenMx (>= 2.22.10)
Imports: Matrix, fitVARMxID (>= 1.0.2)
Suggests: knitr, rmarkdown, testthat, simStateSpace, MASS, metaSEM, expm
NeedsCompilation: no
Packaged: 2026-03-19 17:13:06 UTC; root
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-24 09:10:02 UTC

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New package hierNest with initial version 1.0.0
Package: hierNest
Title: Penalized Regression with Hierarchical Nested Parameterization Structure
Version: 1.0.0
Date: 2026-03-02
Description: Efficient implementation of penalized regression with hierarchical nested parametrization for grouped data. The package provides penalized regression methods that decompose subgroup specific effects into shared global effects, Major subgroup specific effects, and Minor subgroup specific effects, enabling structured borrowing of information across related clinical subgroups. Both lasso and hierarchical overlapping group lasso penalties are supported to encourage sparsity while respecting the nested subgroup structure. Efficient computation is achieved through a modified design matrix representation and a custom majorization minimization algorithm for overlapping group penalties.
License: GPL (>= 2)
Depends: R (>= 3.5),
Imports: cli, dotCall64, ggplot2, magrittr, Matrix, methods, rlang, RSpectra, tidyr, rTensor, pROC, plotly
Suggests: dplyr, gglasso, glmnet, knitr, markdown, rmarkdown, splines, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
VignetteBuilder: knitr
Maintainer: Ziren Jiang <jian0746@umn.edu>
URL: https://github.com/ZirenJiang/hierNest
BugReports: https://github.com/ZirenJiang/hierNest/issues
Packaged: 2026-03-20 02:36:05 UTC; 12805
Author: Ziren Jiang [aut, cre], Jared Huling [aut], Jue Hou [aut], Lingfeng Huo [aut], Daniel J. McDonald [ctb], Xiaoxuan Liang [ctb], Anibal Solon Heinsfeld [ctb], Aaron Cohen [ctb], Yi Yang [ctb], Hui Zou [ctb], Jerome Friedman [ctb], Trevor Hastie [ctb], [...truncated...]
Repository: CRAN
Date/Publication: 2026-03-24 09:20:02 UTC

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New package HeatmapR with initial version 1.1.0
Package: HeatmapR
Title: Create Heatmaps Using Base Graphics
Version: 1.1.0
Date: 2026-03-19
Description: Provides a lightweight framework for creating high quality, complex heatmaps using base graphics. Supports hierarchical clustering with dendrograms, column and row scaling, cluster sub-divisions, customizable cell colours, shapes and sizes, legends, and flexible layouts for arranging multiple heatmaps. Designed to return plot objects that can be easily arranged with other plots without sacrificing resolution. Methods for hierarchical clustering and distance computations are described in Murtagh and Contreras (2012) <doi:10.1002/wics.53>. Dendrogram visualisation methods are based on the 'ggdendro' package by de Vries and Ripley (2020) <https://CRAN.R-project.org/package=ggdendro>.
URL: https://dillonhammill.github.io/HeatmapR/
BugReports: https://github.com/DillonHammill/HeatmapR/issues
Depends: R (>= 3.5)
Imports: methods, stats, graphics, grDevices, tools
License: GPL-2
Encoding: UTF-8
Language: en-GB
Suggests: covr, testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 02:37:25 UTC; dillon
Author: Dillon Hammill [aut, cre]
Maintainer: Dillon Hammill <dillon.hammill21@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-24 09:20:13 UTC

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New package fkcentroids with initial version 0.0.3
Package: fkcentroids
Title: Functional K-Centroids Clustering Using Phase and Amplitude Components
Version: 0.0.3
Description: Cluster functional data using phase and amplitude components of each function. By weighting phase and amplitude variation differently, clustering results can be obtained from multiple perspectives. Routines for synchronization, functional k-means clustering, and functional k-medians clustering are provided.
URL: https://github.com/seungwoo-stat/fkcentroids
BugReports: https://github.com/seungwoo-stat/fkcentroids/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: fdasrvf, graphics, Kmedians, stats, withr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-20 00:12:05 UTC; SeungwooKang
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw@skku.edu>
Repository: CRAN
Date/Publication: 2026-03-24 09:10:08 UTC

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New package EpiStandard with initial version 0.2.0
Package: EpiStandard
Title: Directly Standardise Rates by Age
Version: 0.2.0
Maintainer: Elin Rowlands <elin.rowlands@ndorms.ox.ac.uk>
Description: Provides functions for age standardisation of epidemiological measures such as incidence and prevalence rates. It allows users to apply standard population structures to observed age-specific estimates in order to obtain comparable summary measures across populations or time periods. Functions support calculation of standardised rates, outcome counts, and corresponding confidence intervals. The tools are designed to facilitate reproducible and transparent adjustment for differences in age distributions in epidemiological and public health research.
License: Apache License (>= 2)
Encoding: UTF-8
Suggests: gt, knitr, rmarkdown, testthat (>= 3.0.0), DBI, duckdb, IncidencePrevalence, omopgenerics
Imports: cli, dplyr, rlang, stringr, tidyr, tidyselect, tibble
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://oxford-pharmacoepi.github.io/EpiStandard/, https://github.com/oxford-pharmacoepi/EpiStandard
Language: en-GB
BugReports: https://github.com/oxford-pharmacoepi/EpiStandard/issues
NeedsCompilation: no
Packaged: 2026-03-11 15:15:50 UTC; rowelin
Author: Elin Rowlands [aut, cre] , Marta Alcalde-Herraiz [aut] , Nuria Mercade-Besora [aut] , Edward Burn [aut] , Danielle Newby [aut]
Repository: CRAN
Date/Publication: 2026-03-24 10:00:02 UTC

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New package authordown with initial version 0.1.0
Package: authordown
Title: Author Metadata Management and Manuscript Front Matter
Version: 0.1.0
Author: Zhipeng Cao [aut, cre]
Maintainer: Zhipeng Cao <zhipeng30@foxmail.com>
Description: Manage author metadata and generate manuscript front matter. It produces title pages, acknowledgements, conflicts of interest, and contribution sections for large author lists, with helpers for validating and reading common spreadsheet formats.
License: AGPL-3
URL: https://zh1peng.github.io/authordown/, https://github.com/zh1peng/authordown
BugReports: https://github.com/zh1peng/authordown/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: openxlsx, rlang
Suggests: knitr, pkgdown, rmarkdown, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 01:51:44 UTC; Zhipeng
Repository: CRAN
Date/Publication: 2026-03-24 09:20:08 UTC

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Package vbracket updated to version 1.3.2 with previous version 1.3.0 dated 2026-03-16

Title: Custom Legends with Statistical Comparison Brackets
Description: Add publication-quality custom legends with vertical brackets. Designed for displaying statistical comparisons between groups, commonly used in scientific publications for showing significance levels. Features include adaptive positioning, automatic bracket spacing for overlapping comparisons, font family inheritance, and support for asterisks, p-values, or custom labels. Compatible with 'ggplot2' graphics.
Author: Yoshiaki Sato [aut, cre]
Maintainer: Yoshiaki Sato <h20gg702@outlook.jp>

Diff between vbracket versions 1.3.0 dated 2026-03-16 and 1.3.2 dated 2026-03-24

 DESCRIPTION         |   10 +++++-----
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 3 files changed, 27 insertions(+), 24 deletions(-)

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Package tirt updated to version 0.3.1 with previous version 0.3.0 dated 2026-03-18

Title: Testlet Item Response Theory
Description: Implementation of Testlet and Item Response Theory. A light-version yet comprehensive and streamlined framework for psychometric analysis using unidimensional and multidimensional Item Response Theory (IRT; Baker & Kim (2004) <doi:10.1201/9781482276725>) and Testlet Response Theory (TRT; Wainer et al., (2007) <doi:10.1017/CBO9780511618765>). Designed for researchers, this package supports the estimation of item and person parameters for a wide variety of models, including binary (i.e., Rasch, 2-Parameter Logistic, 3-Parameter Logistic) and polytomous (Partial Credit Model, Generalized Partial Credit Model, Graded Response Model) formats. It also supports the estimation of Testlet models (Rasch Testlet, 2-Parameter Logistic Testlet, 3-Parameter Logistic Testlet, Bifactor, Partial Credit Model Testlet, Graded Response), allowing users to account for local item dependence in bundled items. A key feature is the specialized support for combination use and joint estimation of [...truncated...]
Author: Jiawei Xiong [aut, cre], Cheng Tang [ctb], Qidi Liu [ctb]
Maintainer: Jiawei Xiong <jiawei.xiong@uga.edu>

Diff between tirt versions 0.3.0 dated 2026-03-18 and 0.3.1 dated 2026-03-24

 DESCRIPTION        |   12 ++--
 MD5                |    6 +-
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 man/mirt_binary.Rd |    6 +-
 4 files changed, 99 insertions(+), 80 deletions(-)

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Package runMCMCbtadjust readmission to version 1.1.3 with previous version 1.1.2 dated 2024-08-28

Title: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters
Description: The function runMCMC_btadjust() returns a mcmc.list object which is the output of a Markov Chain Monte Carlo obtained - from either 'JAGS', 'nimble' or 'greta' - after adjusting burn-in and thinning parameters to meet pre-specified criteria in terms of convergence & effective sample size. Used with 'nimble', runMCMC_btadjust() allows extra calculations (e.g. information criteria for model comparison and goodness-of-fit p-values for model diagnosis).
Author: Frederic Gosselin [cre, aut] , Institut national de recherche pour l'agriculture, l'alimentation et l'environnement [cph]
Maintainer: Frederic Gosselin <frederic.gosselin@inrae.fr>

This is a re-admission after prior archival of version 1.1.2 dated 2024-08-28

Diff between runMCMCbtadjust versions 1.1.2 dated 2024-08-28 and 1.1.3 dated 2026-03-24

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 runMCMCbtadjust-1.1.3/runMCMCbtadjust/NEWS.md                                                          |   24 
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New package Rglottography with initial version 1.2.0
Package: Rglottography
Title: Programmatic Access to Glottography Speaker Area Polygons
Version: 1.2.0
Author: Peter Ranacher [aut, cre]
Maintainer: Peter Ranacher <peter.ranacher@gmail.com>
Description: Provides programmatic access to Glottography, an online repository of geospatial speaker-area polygons for the world's languages. The package allows users to list available datasets, download and install them, and load speaker-area polygons as standard spatial 'sf' objects in R. Data are sourced from either the Glottography organization on GitHub <https://github.com/Glottography> or the Glottography community on Zenodo <https://zenodo.org/communities/glottography>. Based on Ranacher et al. (2026) <doi:10.5334/johd.459>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/Glottography/Rglottography
BugReports: https://github.com/Glottography/Rglottography/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2, jsonlite, sf, tibble
Suggests: testthat (>= 3.0.0), mockery, knitr, rmarkdown, ggplot2, dplyr, rnaturalearth
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-19 21:50:39 UTC; peter
Repository: CRAN
Date/Publication: 2026-03-24 09:00:09 UTC

More information about Rglottography at CRAN
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Package PwePred updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-21

Title: Event/Timeline Prediction Model Based on Piecewise Exponential
Description: Efficient algorithm for estimating piecewise exponential hazard models for right-censored data, and is useful for reliable power calculation, study design, and event/timeline prediction for study monitoring.
Author: Tianchen Xu [aut, cre]
Maintainer: Tianchen Xu <zjph602xutianchen@gmail.com>

Diff between PwePred versions 1.1.0 dated 2026-03-21 and 1.1.1 dated 2026-03-24

 DESCRIPTION                 |    9 +++++----
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Package plsdepot updated to version 0.3.1 with previous version 0.3.0 dated 2025-09-26

Title: Partial Least Squares (PLS) Data Analysis Methods
Description: Different methods for PLS analysis of one or two data tables such as Tucker's Inter-Battery, NIPALS, SIMPLS, SIMPLS-CA, PLS Regression, and PLS Canonical Analysis. The main reference for this software is the awesome book (in French) 'La Regression PLS: Theorie et Pratique' by Michel Tenenhaus.
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between plsdepot versions 0.3.0 dated 2025-09-26 and 0.3.1 dated 2026-03-24

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 R/plsreg1.R                           |   27 ++++++++++++++++-----------
 man/plsreg1.Rd                        |    8 +++-----
 tests/testthat/test-plsreg-behavior.R |   24 ++++++++++++++++++++++++
 6 files changed, 58 insertions(+), 29 deletions(-)

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New package nnsolve with initial version 0.0.1
Package: nnsolve
Title: Fast Non-Negative Least Squares
Version: 0.0.1
Date: 2026-03-11
Description: Provides a fast algorithm for solving non-negative least squares problems. It implements the Fast Non-Negative Least Squares algorithm of Bro and de Jong (1997) <doi:10.1002/(SICI)1099-128X(199709/10)11:5%3C393::AID-CEM483%3E3.0.CO;2-L>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.1.1)
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-03-19 16:24:30 UTC; nikolask
Author: Nikolaos Kontemeniotis [aut, cre], Michail Tsagris [aut]
Maintainer: Nikolaos Kontemeniotis <kontemeniotisn@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-24 08:50:02 UTC

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Package icecdr updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-16

Title: Download Sea Ice Concentration Data from the NSIDC Climate Data Record
Description: Programmatic access to NSIDC's sea ice concentration CDR versions 4 and 5 <https://nsidc.org/data/g02135/versions/4> via its ERDAPP server and Sea Ice index <https://nsidc.org/data/g02135/versions/4>. Supports caching results and optional fixes for some inconsistencies of the raw files.
Author: Elio Campitelli [cre, aut, cph]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

Diff between icecdr versions 1.0.0 dated 2026-03-16 and 1.1.0 dated 2026-03-24

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More information about icecdr at CRAN
Permanent link

Package hoopR updated to version 3.0.0 with previous version 2.1.0 dated 2023-11-25

Title: Access Men's Basketball Play by Play Data
Description: A utility to quickly obtain clean and tidy men's basketball play by play data. Provides functions to access live play by play and box score data from ESPN<https://www.espn.com> with shot locations when available. It is also a full NBA Stats API<https://www.nba.com/stats/> wrapper. It is also a scraping and aggregating interface for Ken Pomeroy's men's college basketball statistics website<https://kenpom.com>. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.
Author: Saiem Gilani [aut, cre] , Jason Lee [ctb], Billy Fryer [ctb], Ross Drucker [ctb], Vladislav Shufinskiy [ctb]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>

Diff between hoopR versions 2.1.0 dated 2023-11-25 and 3.0.0 dated 2026-03-24

 DESCRIPTION                                                 |   31 
 MD5                                                         |  892 ++--
 NAMESPACE                                                   |   31 
 NEWS.md                                                     |  206 +
 R/espn_mbb_data.R                                           |  969 +++--
 R/espn_mbb_wp.R                                             |   67 
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 R/kp_ratings_tables.R                                       |  726 ++-
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 R/load_mbb.R                                                |  217 -
 R/load_nba.R                                                |   96 
 R/nba_data_pbp.R                                            |   60 
 R/nba_stats_boxscore.R                                      |   86 
 R/nba_stats_boxscore_v3.R                                   |  726 +++
 R/nba_stats_cume.R                                          |    8 
 R/nba_stats_draft.R                                         |   81 
 R/nba_stats_franchise.R                                     |    8 
 R/nba_stats_hustle.R                                        |    9 
 R/nba_stats_leaders.R                                       |  301 +
 R/nba_stats_league.R                                        |  141 
 R/nba_stats_league_dash.R                                   |   26 
 R/nba_stats_lineups.R                                       |   13 
 R/nba_stats_pbp.R                                           | 1157 +++++-
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 R/nba_stats_player_dash.R                                   |   26 
 R/nba_stats_roster.R                                        |   73 
 R/nba_stats_scoreboard.R                                    |  322 +
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 R/utils.R                                                   |  290 -
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 man/espn_mbb_wp.Rd                                          |    3 
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 man/espn_nba_team_stats.Rd                                  |    3 
 man/espn_nba_teams.Rd                                       |    3 
 man/espn_nba_wp.Rd                                          |    3 
 man/hoopR-package.Rd                                        |    2 
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 man/kp_fanmatch.Rd                                          |    2 
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 man/kp_hca.Rd                                               |    2 
 man/kp_height.Rd                                            |    2 
 man/kp_kpoy.Rd                                              |    2 
 man/kp_officials.Rd                                         |    2 
 man/kp_playerstats.Rd                                       |    2 
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 man/nba_homepageleaders.Rd                                  |    8 
 man/nba_homepagev2.Rd                                       |    8 
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 man/nba_leaguedashlineups.Rd                                |    3 
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 man/nba_leaguedashplayerclutch.Rd                           |    9 
 man/nba_leaguedashplayerptshot.Rd                           |    3 
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 man/nba_leaguedashptdefend.Rd                               |    3 
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 man/nba_leaguedashptteamdefend.Rd                           |    3 
 man/nba_leaguedashteamclutch.Rd                             |    3 
 man/nba_leaguedashteamptshot.Rd                             |    3 
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 man/nba_leaguedashteamstats.Rd                              |    6 
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 man/nba_leaguelineupviz.Rd                                  |    3 
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 man/nba_leagueseasonmatchups.Rd                             |    9 
 man/nba_leaguestandings.Rd                                  |    1 
 man/nba_leaguestandingsv3.Rd                                |    1 
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 man/nba_playerdashboardbyclutch.Rd                          |    6 
 man/nba_playerdashboardbygamesplits.Rd                      |    6 
 man/nba_playerdashboardbygeneralsplits.Rd                   |    6 
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 man/nba_playerdashptshots.Rd                                |    6 
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 man/nba_playerfantasyprofile.Rd                             |    4 
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 tests/testthat/test-nba_boxscorefourfactorsv3.R             |   11 
 tests/testthat/test-nba_boxscorehustlev2.R                  |   12 
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 tests/testthat/test-nba_leaguedashplayerptshot.R            |    5 
 tests/testthat/test-nba_leaguedashplayershotlocations.R     |    5 
 tests/testthat/test-nba_leaguedashplayerstats.R             |    5 
 tests/testthat/test-nba_leaguedashptdefend.R                |    4 
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 tests/testthat/test-nba_leaguegamefinder.R                  |    4 
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Package epicR readmission to version 1.0.1 with previous version 1.0.0 dated 2026-03-10

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

This is a re-admission after prior archival of version 1.0.0 dated 2026-03-10

Diff between epicR versions 1.0.0 dated 2026-03-10 and 1.0.1 dated 2026-03-24

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New package ecoXCorr with initial version 0.1.9
Package: ecoXCorr
Title: Lagged Cross-Correlation Analysis of Environmental Time Series
Version: 0.1.9
Description: Tools for analysing lagged relationships between environmental variables and ecological or epidemiological time series. The package implements a workflow to aggregate meteorological data over multiple lagged intervals, fit regression models, including mixed-effect models using 'glmmTMB', for each lag window, and visualise varied models outcomes (effect strength and direction, model prediction error...) using cross-correlation maps ('CCM').
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: glmmTMB, ggplot2, stats, performance, Rdpack, shiny, scales
Depends: R (>= 3.5)
URL: https://github.com/Nmoiroux/ecoXCorr
BugReports: https://github.com/Nmoiroux/ecoXCorr/issues
Suggests: testthat (>= 3.0.0), readr
NeedsCompilation: no
Packaged: 2026-03-19 15:20:19 UTC; nm
Author: Nicolas Moiroux [aut, cre] , Colombine Bartholomee [aut] , Paul Taconet [aut]
Maintainer: Nicolas Moiroux <nicolas.moiroux@ird.fr>
Repository: CRAN
Date/Publication: 2026-03-24 08:40:14 UTC

More information about ecoXCorr at CRAN
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Package ClustBlock updated to version 5.0.0 with previous version 4.1.1 dated 2025-06-11

Title: Clustering of Datasets
Description: Hierarchical and partitioning algorithms to cluster blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. Different thresholds per cluster can be sets. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) <doi:10.1016/j.foodqual.2018.05.013>, Llobell, Vigneau & Qannari (2019) <doi:10.1016/j.foodqual.2019.02.017>) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>, Llobell, Giacalone, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2019.05.017>) are the core of this package. The CATATIS methods allows to compute some indices and tests to control the quality of CATA data (Llobell, Bonnet & Giacalone (2024) <doi:10.1111/joss.12941>) . Multivariate analysis and clustering of subjects for quantitative multiblock data, CATA, RA [...truncated...]
Author: Fabien Llobell [aut, cre] , Evelyne Vigneau [ctb] , Veronique Cariou [ctb] , El Mostafa Qannari [ctb]
Maintainer: Fabien Llobell <fabienllobellresearch@gmail.com>

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Package TesiproV updated to version 0.9.5 with previous version 0.9.2 dated 2022-03-25

Title: Reliability Analysis Methods for Structural Engineering
Description: Calculate the failure probability of civil engineering problems with Level I up to Level III Methods. Have fun and enjoy. References: Spaethe (1991, ISBN:3-211-82348-4) "Die Sicherheit tragender Baukonstruktionen", AU,BECK (2001) "Estimation of small failure probabilities in high dimensions by subset simulation." <doi:10.1016/S0266-8920(01)00019-4>, Breitung (1989) "Asymptotic approximations for probability integrals." <doi:10.1016/0266-8920(89)90024-6>.
Author: Konstantin Nille-Hauf [aut], Tania Feiri [aut], Marcus Ricker [aut], Til Lux [aut, cre]
Maintainer: Til Lux <til.lux@tu-dortmund.de>

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Package shrinkDSM updated to version 1.0.2 with previous version 1.0.0 dated 2025-04-11

Title: Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of dynamic survival models with shrinkage priors. Details on the algorithms used are provided in Wagner (2011) <doi:10.1007/s11222-009-9164-5>, Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006> and Cadonna et al. (2020) <doi:10.3390/econometrics8020020>.
Author: Daniel Winkler [aut, cre], Peter Knaus [aut]
Maintainer: Daniel Winkler <daniel.winkler@unsw.edu.au>

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Package hglm.data updated to version 1.0-2 with previous version 1.0-1 dated 2019-04-04

Title: Data for the 'hglm' Package
Description: This data-only package was created for distributing data used in the examples of the 'hglm' package.
Author: Xia Shen [aut], Lars Ronnegard [aut, cre], Moudud Alam [aut]
Maintainer: Lars Ronnegard <lars.ronnegard@slu.se>

Diff between hglm.data versions 1.0-1 dated 2019-04-04 and 1.0-2 dated 2026-03-24

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Package tarchetypes updated to version 0.14.1 with previous version 0.14.0 dated 2026-02-09

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package stepR updated to version 2.1-11 with previous version 2.1-10 dated 2024-10-18

Title: Multiscale Change-Point Inference
Description: Allows fitting of step-functions to univariate serial data where neither the number of jumps nor their positions is known by implementing the multiscale regression estimators SMUCE, simulataneous multiscale changepoint estimator, (K. Frick, A. Munk and H. Sieling, 2014) <doi:10.1111/rssb.12047> and HSMUCE, heterogeneous SMUCE, (F. Pein, H. Sieling and A. Munk, 2017) <doi:10.1111/rssb.12202>. In addition, confidence intervals for the change-point locations and bands for the unknown signal can be obtained.
Author: Pein Florian [aut, cre], Thomas Hotz [aut], Hannes Sieling [aut], Timo Aspelmeier [ctb]
Maintainer: Pein Florian <f.pein@lancaster.ac.uk>

Diff between stepR versions 2.1-10 dated 2024-10-18 and 2.1-11 dated 2026-03-24

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Package safer updated to version 0.2.2 with previous version 0.2.1 dated 2018-07-24

Title: Encrypt and Decrypt Strings, R Objects and Files
Description: A consistent interface to encrypt and decrypt strings, R objects and files using symmetric and asymmetric key encryption.
Author: Komala Sheshachala Srikanth [aut, cre]
Maintainer: Komala Sheshachala Srikanth <sri.teach@gmail.com>

Diff between safer versions 0.2.1 dated 2018-07-24 and 0.2.2 dated 2026-03-24

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Package pgenlibr updated to version 0.6.0 with previous version 0.5.5 dated 2026-03-11

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

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Package lmom updated to version 3.3 with previous version 3.2 dated 2024-09-30

Title: L-Moments
Description: Functions related to L-moments: computation of L-moments and trimmed L-moments of distributions and data samples; parameter estimation; L-moment ratio diagram; plot vs. quantiles of an extreme-value distribution.
Author: J. R. M. Hosking [aut, cre]
Maintainer: J. R. M. Hosking <jrmhosking@gmail.com>

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Package InteractionPoweR updated to version 0.2.4 with previous version 0.2.2 dated 2024-07-09

Title: Power Analyses for Interaction Effects in Cross-Sectional Regressions
Description: Power analysis for regression models which test the interaction of two or three independent variables on a single dependent variable. Includes options for correlated interacting variables and specifying variable reliability. Two-way interactions can include continuous, binary, or ordinal variables. Power analyses can be done either analytically or via simulation. Includes tools for simulating single data sets and visualizing power analysis results. The primary functions are power_interaction_r2() and power_interaction() for two-way interactions, and power_interaction_3way_r2() for three-way interactions. The function run_pos_power_search() provides a stability analysis for two-way interactions. Please cite as: Baranger DAA, Finsaas MC, Goldstein BL, Vize CE, Lynam DR, Olino TM (2023). "Tutorial: Power analyses for interaction effects in cross-sectional regressions." <doi:10.1177/25152459231187531>. If you use the stability analyses, please cite: Castillo A, Miller JD, Vize C, Ba [...truncated...]
Author: David Baranger [aut, cre], Andrew Castillo [aut], Brandon Goldstein [ctb], Megan Finsaas [ctb], Thomas Olino [ctb], Colin Vize [ctb], Don Lynam [ctb]
Maintainer: David Baranger <dbaranger@gmail.com>

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Package isopam (with last version 3.5) was removed from CRAN

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

2026-03-08 3.5
2026-02-22 3.4
2025-12-20 3.3
2025-01-16 3.2
2025-01-08 3.1
2024-11-10 3.0
2024-01-09 2.0
2023-12-11 1.3.0
2023-09-08 1.2.0

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Package fastkmedoids (with last version 1.5) was removed from CRAN

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

2026-03-11 1.5
2026-02-25 1.4
2026-02-24 1.3
2021-01-21 1.2

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Package MSCA (with last version 1.2.1) was removed from CRAN

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

2025-06-13 1.2.1
2025-06-02 1.1.1
2025-02-19 1.0

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Package bioregion (with last version 1.3.0) was removed from CRAN

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

2026-01-23 1.3.0
2025-01-31 1.2.0
2024-11-11 1.1.1-1
2024-04-19 1.1.1
2024-03-19 1.1.0
2023-04-14 1.0.0

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Package tinytest updated to version 1.4.3 with previous version 1.4.1 dated 2023-02-21

Title: Lightweight and Feature Complete Unit Testing Framework
Description: Provides a lightweight (zero-dependency) and easy to use unit testing framework. Main features: install tests with the package. Test results are treated as data that can be stored and manipulated. Test files are R scripts interspersed with test commands, that can be programmed over. Fully automated build-install-test sequence for packages. Skip tests when not run locally (e.g. on CRAN). Flexible and configurable output printing. Compare computed output with output stored with the package. Run tests in parallel. Extensible by other packages. Report side effects.
Author: Mark van der Loo [aut, cre]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package rsyncrosim updated to version 2.1.13 with previous version 2.1.9 dated 2025-10-14

Title: The R Interface to 'SyncroSim'
Description: 'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher (API documentation: <https://docs.syncrosim.com/>).
Author: Colin Daniel [aut], Josie Hughes [aut], Valentin Lucet [aut], Alex Embrey [aut], Katie Birchard [aut], Leonardo Frid [aut, cre], Tabitha Kennedy [aut], Shreeram Senthivasan [aut], Vicki Zhang [aut], Hannah Adams [aut], ApexRMS [cph]
Maintainer: Leonardo Frid <rsyncrosim@syncrosim.com>

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Package Rserve updated to version 1.8-19 with previous version 1.8-18 dated 2026-03-20

Title: Versatile R Server
Description: Rserve is a versatile, scalable server enabling the efficient use of R from other applications through variety of protocols including QAP, WebSockets, HTTP and HTTPS. It acts as a server (TCP/IP or local sockets) which allows binary requests to be sent to R. Every connection has a separate workspace and working directory. Client-side implementations are available for many popular languages allowing applications to use facilities of R without the need of linking to the R binary. Rserve supports remote connections, user authentication and file transfer. A simple R client is included in this package as well. It also supports OCAP mode for secure remote procedure calls, including support for full event loop, asynchronous results/graphics and console I/O.
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

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Package RcppMeCab updated to version 0.0.1.5 with previous version 0.0.1.2 dated 2018-07-04

Title: 'rcpp' Wrapper for 'mecab' Library
Description: R package based on 'Rcpp' for 'MeCab': Yet Another Part-of-Speech and Morphological Analyzer. The purpose of this package is providing a seamless developing and analyzing environment for CJK texts. This package utilizes parallel programming for providing highly efficient text preprocessing 'posParallel()' function. For installation, please refer to README.md file.
Author: Junhewk Kim [aut, cre], Taku Kudo [aut], Akiru Kato [ctb], Patrick Schratz [ctb]
Maintainer: Junhewk Kim <junhewk.kim@gmail.com>

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Package power4mome updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-17

Title: Power Analysis for Moderation and Mediation
Description: Power analysis and sample size determination for moderation, mediation, and moderated mediation in models fitted by structural equation modelling using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02> or by multiple regression. The package 'manymome' by Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z> is used to specify the indirect paths or conditional indirect paths to be tested.
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut] , Wendie Yang [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package fs updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-22

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut], Hadley Wickham [aut], Gabor Csardi [aut], Jeroen Ooms [cre], libuv project contributors [cph] , Joyent, Inc. and other Node contributors [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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