Tue, 17 Mar 2026

New package soilVAE with initial version 0.1.9
Package: soilVAE
Title: Supervised Variational Autoencoder Regression via 'reticulate'
Version: 0.1.9
Description: Supervised latent-variable regression for high-dimensional predictors such as soil reflectance spectra. The model uses an encoder-decoder neural network with a stochastic Gaussian latent representation regularized by a Kullback-Leibler term, and a supervised prediction head trained jointly with the reconstruction objective. The implementation interfaces R with a 'Python' deep-learning backend and provides utilities for training, tuning, and prediction.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: reticulate, stats
Suggests: knitr, rmarkdown, prospectr, pls
VignetteBuilder: knitr
SystemRequirements: Python (>= 3.9); TensorFlow (>= 2.13); Keras (>= 3)
URL: https://hugomachadorodrigues.github.io/soilVAE/, https://github.com/HugoMachadoRodrigues/soilVAE/
BugReports: https://github.com/HugoMachadoRodrigues/soilVAE/issues
NeedsCompilation: no
Packaged: 2026-03-12 21:02:56 UTC; rodrigues.h
Author: Hugo Rodrigues [aut, cre]
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-03-17 19:10:02 UTC

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New package savvyPR with initial version 0.1.0
Package: savvyPR
Title: Savvy Parity Regression Model Estimation with 'savvyPR'
Version: 0.1.0
Description: Implements the Savvy Parity Regression 'savvyPR' methodology for multivariate linear regression analysis. The package solves an optimization problem that balances the contribution of each predictor variable to ensure estimation stability in the presence of multicollinearity. It supports two distinct parameterization methods, a Budget-based approach that allocates a fixed loss contribution to each predictor, and a Target-based approach (t-tuning) that utilizes a relative elasticity weight for the response variable. The package provides comprehensive tools for model estimation, risk distribution analysis, and parameter tuning via cross-validation (PR1, PR2, and PR3 model types) to optimize predictive accuracy. Methods are based on Asimit, Chen, Ichim and Millossovich (2026) <https://openaccess.city.ac.uk/id/eprint/35005/>.
License: GPL (>= 3)
URL: https://ziwei-chenchen.github.io/savvyPR/
BugReports: https://github.com/ziwei-chenchen/savvyPR/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: glmnet, Matrix, stats, nleqslv, ggplot2, gridExtra
Suggests: MASS, knitr, rmarkdown, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-12 17:25:43 UTC; lanceyun
Author: Ziwei Chen [aut, cre] , Vali Asimit [aut] , Pietro Millossovich [aut]
Maintainer: Ziwei Chen <Ziwei.Chen.3@citystgeorges.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-17 19:10:08 UTC

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New package RedeAgroRadar with initial version 0.1.1
Package: RedeAgroRadar
Title: Weather Radar Monitoring and 'Telegram' Alerts for Agriculture Research
Version: 0.1.1
Description: Provides tools to download, process, and analyze real-time meteorological radar images from Simepar (Paraná, Brazil) <https://www.simepar.br/simepar/radar_msc>. Designed to support the 'Rede Agropesquisa' hydrological monitoring, it includes functions to detect rainfall intensity based on Red, Green, and Blue (RGB) color values within predefined circular study areas. Features automated integration with the 'Telegram Bot API' <https://core.telegram.org/bots/api> to send spatialized image alerts and an interactive 'shiny' dashboard for easy configuration and continuous weather tracking.
License: GPL-3
Encoding: UTF-8
Language: pt-BR
Imports: httr, magick, shiny, bslib
URL: https://github.com/santoshbdias/RedeAgroRadar
BugReports: https://github.com/santoshbdias/RedeAgroRadar/issues
NeedsCompilation: no
Packaged: 2026-03-12 18:59:50 UTC; SantosHBDias
Author: Santos Henrique Brant Dias [aut, cre] , Stephanie Abisag Saez Meyer Piazza [aut] , Edison Schmidt Filho [aut]
Maintainer: Santos Henrique Brant Dias <santoshbdias@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-17 19:10:26 UTC

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Package maskedcauses updated to version 0.9.3 with previous version 0.9.2 dated 2026-03-08

Title: Likelihood Models for Systems with Masked Component Cause of Failure
Description: Maximum likelihood estimation for series systems where the component cause of failure is masked. Implements analytical log-likelihood, score, and Hessian functions for exponential, homogeneous Weibull, and heterogeneous Weibull component lifetimes under masked cause conditions (C1, C2, C3). Supports exact, right-censored, left-censored, and interval-censored observations via composable observation functors. Provides random data generation, model fitting, and Fisher information for asymptotic inference. See Lin, Loh, and Bai (1993) <doi:10.1109/24.257799> and Craiu and Reiser (2006) <doi:10.1111/j.1541-0420.2005.00498.x>.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

Diff between maskedcauses versions 0.9.2 dated 2026-03-08 and 0.9.3 dated 2026-03-17

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New package fqardl with initial version 1.0.2
Package: fqardl
Title: Fourier ARDL Methods: Quantile, Nonlinear, Multi-Threshold & Unit Root Tests
Version: 1.0.2
Date: 2026-02-25
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Description: Comprehensive implementation of advanced ARDL methodologies for cointegration analysis with structural breaks and asymmetric effects. Includes: (1) Fourier Quantile ARDL (FQARDL) - quantile regression with Fourier approximation for analyzing relationships across the conditional distribution; (2) Fourier Nonlinear ARDL (FNARDL) - asymmetric cointegration with partial sum decomposition following Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>; (3) Multi-Threshold NARDL (MTNARDL) - multiple regime asymmetry analysis; (4) Fourier Unit Root Tests - ADF and KPSS tests with Fourier terms following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.05.019> and Becker, Enders & Lee (2006) <doi:10.1111/j.1467-9892.2006.00490.x>. Features automatic lag and frequency selection, PSS bounds testing following Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>, bootstrap cointegration tests, Wald tests for asymmetry, dynamic multiplier computati [...truncated...]
License: GPL-3
URL: https://github.com/muhammedalkhalaf/fqardl
BugReports: https://github.com/muhammedalkhalaf/fqardl/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: quantreg (>= 5.0), ggplot2 (>= 3.0.0), tidyr, gridExtra, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, plotly, covr
NeedsCompilation: no
Packaged: 2026-03-12 17:56:21 UTC; acad_
Repository: CRAN
Date/Publication: 2026-03-17 19:10:14 UTC

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New package ememax with initial version 0.1.0
Package: ememax
Title: Estimation for Binary Emax Models with Missing Responses and Bias Reduction
Version: 0.1.0
Description: Provides estimation utilities for binary Emax dose-response models. Includes Expectation-Maximization based maximum likelihood estimation when the binary response is missing, as well as bias-reduced estimators including Jeffreys-penalized likelihood, Firth-score, and Cox-Snell corrections.The methodology is described in Zhang, Pradhan, and Zhao (2025) <doi:10.1177/09622802251403356> and Zhang, Pradhan, and Zhao (2026) <doi:10.1080/10543406.2026.2627387>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0), clinDR (>= 2.5.2)
Imports: BB, brglm, boot, formula.tools, MASS, maxLik, numDeriv, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-12 21:13:36 UTC; jiangshanzhang
Author: Jiangshan Zhang [aut, cre], Vivek Pradhan [aut], Yuxi Zhao [aut]
Maintainer: Jiangshan Zhang <jiszhang@ucdavis.edu>
Repository: CRAN
Date/Publication: 2026-03-17 19:10:20 UTC

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Package cts readmission to version 1.0-24 with previous version 1.0-22 dated 2019-01-14

Title: Continuous Time Autoregressive Models
Description: Provides tools for fitting continuous-time autoregressive (CAR) and complex CAR (CZAR) models for irregularly sampled time series using an exact Gaussian state-space formulation and Kalman filtering/smoothing. Implements maximum-likelihood estimation with stable parameterizations of characteristic roots, model selection via AIC, residual and spectral diagnostics, forecasting and simulation, and extraction of fitted state estimates. Methods are described in Wang (2013) <doi:10.18637/jss.v053.i05>.
Author: Granville Tunnicliffe-Wilson [aut] , Zhu Wang [cre, aut] , Cleve Moler [ctb, cph] , Jack Dongarra [ctb, cph] , Jim Bunch [ctb, cph] , G. W. Stewart [ctb, cph] , John Nash [ctb]
Maintainer: Zhu Wang <zwang145@uthsc.edu>

This is a re-admission after prior archival of version 1.0-22 dated 2019-01-14

Diff between cts versions 1.0-22 dated 2019-01-14 and 1.0-24 dated 2026-03-17

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New package cdcanthro with initial version 0.1.0
Package: cdcanthro
Title: Sex- and Age-Standardized Metrics from the Centers for Disease and Control (CDC) Growth Charts
Version: 0.1.0
Description: Calculation of sex- and age-standardized growth metrics based on the 2000 CDC growth charts. Provides functions to generate z-scores and percentiles for weight, height, and BMI using the LMS method (lambda-mu-sigma). Includes extended BMI-z scores for values above the 95th percentile to more accurately characterize the sex- and age-standardized BMI of children with very high BMIs.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: data.table, stats
NeedsCompilation: no
Packaged: 2026-03-12 16:42:52 UTC; davidfreedman
Author: David Freedman [aut, cre]
Maintainer: David Freedman <DavidSFreedman@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-17 19:00:17 UTC

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New package TransHDM with initial version 1.0.1
Package: TransHDM
Title: High-Dimensional Mediation Analysis via Transfer Learning
Version: 1.0.1
Description: Provides a framework for high-dimensional mediation analysis using transfer learning. The main function TransHDM() integrates large-scale source data to improve the detection power of potential mediators in small-sample target studies. It addresses data heterogeneity via transfer regularization and debiased estimation while controlling the false discovery rate. The package also includes utilities for data generation (gen_simData_homo(), gen_simData_hetero()), baseline methods such as lasso() and dblasso(), sure independence screening via SIS(), and model diagnostics through source_detection(). The methodology is described in Pan et al. (2025) <doi:10.1093/bib/bbaf460>.
License: GPL (>= 3)
URL: https://github.com/Gaohuer/TransHDM
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: glmnet (>= 4.1-10), caret (>= 7.0-1), MASS (>= 7.3-61), doParallel (>= 1.0.17), foreach (>= 1.5.2), HDMT (>= 1.0.5)
Suggests: knitr (>= 1.50), rmarkdown (>= 2.30), spelling (>= 2.3.2)
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-12 13:09:14 UTC; DELL
Author: Huer Gao [aut, cre, cph], Lulu Pan [aut, cph], Yongfu Yu [ctb, cph], Guoyou Qin [ctb, cph]
Maintainer: Huer Gao <gaohuer@proton.me>
Repository: CRAN
Date/Publication: 2026-03-17 18:20:09 UTC

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New package osktnorm with initial version 1.1.2
Package: osktnorm
Title: A Moment-Targeting Normality Transformation Based on Tukey g-h Distribution
Version: 1.1.2
Date: 2026-03-07
Maintainer: Zeynel Cebeci <cebeciz@gmail.com>
Description: Implements a moment-targeting normality transformation based on the simultaneous optimization of Tukey g-h distribution parameters. The method is designed to minimize both asymmetry (skewness) and excess peakedness (kurtosis) in non-normal data by mapping it to a standard normal distribution Cebeci et al (2026) <doi:10.3390/sym18030458>. Optimization is performed by minimizing an objective function derived from the Anderson-Darling goodness-of-fit statistic with Stephens's correction factor, utilizing the L-BFGS-B algorithm for robust parameter estimation. This approach provides an effective alternative to power transformations like Box-Cox and Yeo-Johnson, particularly for data requiring precise tail-behavior adjustment.
Depends: R (>= 4.1.0)
Imports: Rcpp, stats, doParallel, foreach, parallel, groupcompare
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, readxl, writexl
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-12 12:54:26 UTC; user1
Author: Zeynel Cebeci [aut, cre], Figen Ceritoglu [aut], Melis Celik Guney [aut], Adnan Unalan [aut]
Repository: CRAN
Date/Publication: 2026-03-17 18:20:02 UTC

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New package NeStage with initial version 0.8.0
Package: NeStage
Title: Effective Population Size from Stage-Structured Populations
Version: 0.8.0
Date: 2026-03-07
Author: Raymond L. Tremblay [aut, cre]
Maintainer: Raymond L. Tremblay <raymond.tremblay@gmail.com>
Description: Computes effective population size (Ne) and the Ne/N ratio for stage-structured populations using the matrix population model framework of Yonezawa (2000) <doi:10.1111/j.0014-3820.2000.tb01244.x>. Functions are provided for sexually reproducing, clonally reproducing, and mixed (sexual + clonal) populations. Includes sensitivity and elasticity analyses for Ne/N with respect to vital rates.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: ggplot2
Suggests: dplyr, tidyr, purrr, expm, gt (>= 0.9.0), knitr, popbio, popdemo, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/RaymondLTremblay/NeStage
BugReports: https://github.com/RaymondLTremblay/NeStage/issues
NeedsCompilation: no
Packaged: 2026-03-12 14:34:38 UTC; raymondtremblay
Repository: CRAN
Date/Publication: 2026-03-17 18:20:15 UTC

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New package AMDconfigurations with initial version 0.1.0
Package: AMDconfigurations
Title: Geometric Analysis of Configurations in High-Dimensional Spaces
Version: 0.1.0
Description: Tools for analysing the geometry of configurations in high-dimensional spaces using the Average Membership Degree (AMD) framework and synthetic configuration generation. The package supports a domain-agnostic approach to studying the shape, dispersion, and internal structure of point clouds, with applications across biological and ecological datasets, including those derived from deep-time records. The AMD framework builds on the idea that strongly coupled systems may occupy a limited set of recurrent regimes in state space, producing high-occupancy regions separated by sparsely populated transitional configurations. The package focuses on detecting these concentration patterns and quantifying their geometric definition without assuming any underlying dynamical model. It provides AMD curve computation, cluster assignment, and sigma-equivalent estimation, together with S3 methods for plotting, printing, and summarising AMD and sigma-equivalent objects. Mendoza (2025) <https://mmendoz [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/mmendoza1967/AMDconfigurations, https://mmendoza1967.github.io/AMDconfigurations/
BugReports: https://github.com/mmendoza1967/AMDconfigurations/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: e1071, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-12 04:30:56 UTC; Manuel Mendoza
Author: Manuel Mendoza [aut, cre]
Maintainer: Manuel Mendoza <mmendoza@mncn.csic.es>
Repository: CRAN
Date/Publication: 2026-03-17 18:10:03 UTC

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Package survMisc (with last version 0.5.6) was removed from CRAN

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

2022-04-07 0.5.6
2018-07-05 0.5.5
2016-11-23 0.5.4
2016-07-07 0.5.3
2016-05-16 0.5.2
2016-02-24 0.5.0

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Package reactablefmtr (with last version 2.0.0) was removed from CRAN

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

2022-03-16 2.0.0
2021-06-16 1.0.0
2021-03-18 0.2.0
2021-02-19 0.1.0

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Package updog updated to version 2.1.7 with previous version 2.1.6 dated 2025-09-24

Title: Flexible Genotyping for Polyploids
Description: Implements empirical Bayes approaches to genotype polyploids from next generation sequencing data while accounting for allele bias, overdispersion, and sequencing error. The main functions are flexdog() and multidog(), which allow the specification of many different genotype distributions. Also provided are functions to simulate genotypes, rgeno(), and read-counts, rflexdog(), as well as functions to calculate oracle genotyping error rates, oracle_mis(), and correlation with the true genotypes, oracle_cor(). These latter two functions are useful for read depth calculations. Run browseVignettes(package = "updog") in R for example usage. See Gerard et al. (2018) <doi:10.1534/genetics.118.301468> and Gerard and Ferrao (2020) <doi:10.1093/bioinformatics/btz852> for details on the implemented methods.
Author: David Gerard [aut, cre]
Maintainer: David Gerard <gerard.1787@gmail.com>

Diff between updog versions 2.1.6 dated 2025-09-24 and 2.1.7 dated 2026-03-17

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New package unsurv with initial version 0.5.0
Package: unsurv
Title: Unsupervised Clustering of Individualized Survival Curves
Version: 0.5.0
Author: Imad EL BADISY [aut, cre]
Maintainer: Imad EL BADISY <elbadisyimad@gmail.com>
Date: 2026-03-12
Description: Tools for clustering individualized survival curves using the Partitioning Around Medoids (PAM) algorithm, with monotonic enforcement, optional smoothing, weighted distances (L1/L2), automatic K selection via silhouette width, prediction for new curves, basic stability checks, and plotting helpers. The clustering strategy follows Kaufman and Rousseeuw (1990, ISBN:0471878766).
License: MIT + file LICENSE
URL: https://github.com/ielbadisy/unsurv
BugReports: https://github.com/ielbadisy/unsurv/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, cluster, ggplot2
Suggests: tidyr, dplyr, scales, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-12 11:50:15 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-03-17 18:00:03 UTC

More information about unsurv at CRAN
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New package pecanr with initial version 0.1.2
Package: pecanr
Title: Partial Eta-Squared for Crossed and Nested Linear Mixed Models
Version: 0.1.2
Description: Computes partial eta-squared effect sizes for fixed effects in linear mixed models fitted with the 'lme4' package. Supports crossed and nested random effects structures with any number of grouping factors. Random slope variances are translated to the outcome scale using a variance decomposition approach, correctly accounting for predictor scaling and interaction terms. Both general and operative effect sizes are provided. Methods are based on Correll, Mellinger, McClelland, and Judd (2020) <doi:10.1016/j.tics.2019.12.009>, Correll, Mellinger, and Pedersen (2022) <doi:10.3758/s13428-021-01687-2>, and Rights and Sterba (2019) <doi:10.1037/met0000184>.
License: MIT + file LICENSE
URL: https://github.com/bcohen0901/pecanr
BugReports: https://github.com/bcohen0901/pecanr/issues
Encoding: UTF-8
Imports: lme4
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-04 00:51:44 UTC; brandoncohen
Author: Brandon Cohen [aut, cre] , Joshua Correll [aut, ths]
Maintainer: Brandon Cohen <brandon.cohen-1@colorado.edu>
Repository: CRAN
Date/Publication: 2026-03-17 18:00:08 UTC

More information about pecanr at CRAN
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New package ggpop with initial version 1.7.0
Package: ggpop
Title: Icon-Based Population Charts and Plots for 'ggplot2'
Version: 1.7.0
Date: 2026-03-06
Description: Create engaging population and point plots charts in R. 'ggpop' allows users to represent population data and points proportionally using customizable icons, facilitating the creation of circular representative population charts as well as any point-plots.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, cowplot, ggforce, gganimate, ggrepel, ggtext, scales, reactable, reactablefmtr
Depends: R (>= 4.0.5)
Imports: ggplot2, dplyr, ggimage, magick, rlang, tidyr, purrr, fontawesome, rsvg, cli, tibble
VignetteBuilder: knitr
ByteCompile: true
BugReports: https://github.com/jurjoroa/ggpop/issues
URL: https://jurjoroa.github.io/ggpop/
NeedsCompilation: no
Packaged: 2026-03-12 00:51:30 UTC; jorgeroa
Author: Jorge A. Roa-Contreras [aut, cre] , Ralitza Soultanova [aut] , Fernando Alarid-Escudero [aut] , Carlos Pineda-Antunez [aut]
Maintainer: Jorge A. Roa-Contreras <jorgeroa@stanford.edu>
Repository: CRAN
Date/Publication: 2026-03-17 17:40:10 UTC

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Package TMB updated to version 1.9.20 with previous version 1.9.19 dated 2025-12-15

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between TMB versions 1.9.19 dated 2025-12-15 and 1.9.20 dated 2026-03-17

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Package tf updated to version 0.4.0 with previous version 0.3.4 dated 2024-05-22

Title: S3 Classes and Methods for Tidy Functional Data
Description: Provides S3 vector types for functional data represented on grids, in spline bases, or via functional principal components. Supports arithmetic and summary methods, plotting, derivation, integration, smoothing, registration, and data import/export for these functional vectors. Includes data-wrangling tools for re-evaluation, subsetting, sub-assignment, zooming into sub-domains, and extracting functional features such as minima, maxima, and their locations. Enables joint analysis of functional and scalar variables by integrating functional vectors into standard data frames.
Author: Fabian Scheipl [aut, cre, cph] , Jeff Goldsmith [aut], Maximilian Muecke [aut] , Julia Wrobel [ctb] , Sebastian Fischer [ctb] , Trevor Hastie [ctb] , Rahul Mazumder [ctb] , Chen Meng [ctb]
Maintainer: Fabian Scheipl <fabian.scheipl@googlemail.com>

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Package MazamaRollUtils updated to version 1.0.0 with previous version 0.1.4 dated 2025-05-09

Title: Efficient Rolling Functions
Description: Fast rolling-window functions for numeric vectors. Designed for efficient processing of environmental time-series data.
Author: Jonathan Callahan [aut, cre], Hans Martin [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaRollUtils versions 0.1.4 dated 2025-05-09 and 1.0.0 dated 2026-03-17

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Package box.lsp updated to version 0.1.4 with previous version 0.1.3 dated 2024-09-19

Title: Provides 'box' Compatibility for 'languageserver'
Description: A 'box' compatible custom language parser for the 'languageserver' package to provide completion and signature hints in code editors.
Author: Ricardo Rodrigo Basa [aut, cre], Pavel Demin [aut], Jakub Nowicki [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Ricardo Rodrigo Basa <opensource+rodrigo@appsilon.com>

Diff between box.lsp versions 0.1.3 dated 2024-09-19 and 0.1.4 dated 2026-03-17

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 README.md                                                |    5 
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Package Rquefts updated to version 1.2-8 with previous version 1.2-5 dated 2025-07-17

Title: Quantitative Evaluation of the Native Fertility of Tropical Soils
Description: An implementation of the QUEFTS (Quantitative Evaluation of the Native Fertility of Tropical Soils) model. The model (1) estimates native nutrient (N, P, K) supply of soils from a few soil chemical properties; and (2) computes crop yield given that supply, crop parameters, fertilizer application, and crop attainable yield. See Janssen et al. (1990) <doi:10.1016/0016-7061(90)90021-Z> for the technical details and Sattari et al. (2014) <doi:10.1016/j.fcr.2013.12.005> for a recent evaluation and improvements. There are also functions to compute optimal fertilizer application rates.
Author: Robert J. Hijmans [cre, aut], Pieter Pypers [ctb, aut], Joost Wolff [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between Rquefts versions 1.2-5 dated 2025-07-17 and 1.2-8 dated 2026-03-17

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Package RcppArmadillo updated to version 15.2.4-1 with previous version 15.2.3-1 dated 2025-12-17

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library aiming towards a good balance between speed and ease of use. It provides high-level syntax and functionality deliberately similar to Matlab. It is useful for algorithm development directly in C++, or quick conversion of research code into production environments. It provides efficient classes for vectors, matrices and cubes where dense and sparse matrices are supported. Integer, floating point and complex numbers are supported. A sophisticated expression evaluator (based on template meta-programming) automatically combines several operations to increase speed and efficiency. Dynamic evaluation automatically chooses optimal code paths based on detected matrix structures. Matrix decompositions are provided through integration with LAPACK, or one of its high performance drop-in replacements (such as 'MKL' or 'OpenBLAS'). It can automatically use 'OpenMP' multi-threading (parallelisation) to speed up computationally expensive operations [...truncated...]
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 15.2.3-1 dated 2025-12-17 and 15.2.4-1 dated 2026-03-17

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Package KODAMA updated to version 3.3 with previous version 3.2 dated 2026-03-17

Title: Knowledge Discovery by Accuracy Maximization
Description: A self-guided, weakly supervised learning algorithm for feature extraction from noisy and high-dimensional data. It facilitates the identification of patterns that reflect underlying group structures across all samples in a dataset. The method incorporates a novel strategy to integrate spatial information, improving the clarity of results in spatially resolved data.
Author: Stefano Cacciatore [aut, trl, cre] , Leonardo Tenori [aut]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>

Diff between KODAMA versions 3.2 dated 2026-03-17 and 3.3 dated 2026-03-17

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Package etasFLP updated to version 2.3.0 with previous version 2.2.2 dated 2023-09-14

Title: Mixed FLP and ML Estimation of ETAS Space-Time Point Processes for Earthquake Description
Description: Estimation of the components of an ETAS (Epidemic Type Aftershock Sequence) model for earthquake description. Non-parametric background seismicity can be estimated through FLP (Forward Likelihood Predictive). New version 2.0.0: covariates have been introduced to explain the effects of external factors on the induced seismicity; the parametrization has been changed; in version 2.3.0 improved update method. Chiodi, Adelfio (2017)<doi:10.18637/jss.v076.i03>.
Author: Marcello Chiodi [aut, cre], Giada Adelfio [aut]
Maintainer: Marcello Chiodi <marcello.chiodi@unipa.it>

Diff between etasFLP versions 2.2.2 dated 2023-09-14 and 2.3.0 dated 2026-03-17

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Package surveysd updated to version 2.0.1 with previous version 2.0.0 dated 2025-08-26

Title: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs
Description: Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.
Author: Johannes Gussenbauer [aut, cre], Alexander Kowarik [aut] , Eileen Vattheuer [aut], Gregor de Cillia [aut], Matthias Till [ctb]
Maintainer: Johannes Gussenbauer <Johannes.Gussenbauer@statistik.gv.at>

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Package micss updated to version 0.3.0 with previous version 0.2.0 dated 2024-08-22

Title: Modified Iterative Cumulative Sum of Squares Algorithm
Description: Companion package of Carrion-i-Silvestre & Sansó (2026): "Generalized Extreme Value Approximation to the CUMSUMQ Test 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:// [...truncated...]
Author: Josep Lluis Carrion-i-Silvestre [aut], Andreu Sanso [aut, cre]
Maintainer: Andreu Sanso <andreu.sanso@uib.eu>

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Package inkaR updated to version 0.6.1 with previous version 0.4.4 dated 2026-03-16

Title: Download and Analyze Spatial Development Data from 'INKAR'
Description: A professional R interface to download and analyze spatial development indicators from the 'BBSR' 'INKAR' (Indikatoren und Karten zur Raum- und Stadtentwicklung) database. Features a bilingual interactive wizard, fuzzy search, multi-indicator downloads with automatic tidy merging (long/wide), robust disk caching, and premium 'ggplot2' themes for regional mapping.
Author: Omer Furkan Coban [aut, cre]
Maintainer: Omer Furkan Coban <oemer.furkan.coban@uni-oldenburg.de>

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Package fastqq updated to version 0.1.5 with previous version 0.1.4 dated 2026-03-13

Title: Faster Generation of Quantile Quantile Plots with Large Samples
Description: New and faster implementations for quantile quantile plots. The package also includes a function to prune data for quantile quantile plots. This can drastically reduce the running time for large samples, for 100 million samples, you can expect a factor 80X speedup.
Author: Gudmundur Einarsson [aut, cre], Hafsteinn Einarsson [aut]
Maintainer: Gudmundur Einarsson <gudmundur.einarsson.phd@gmail.com>

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Package comexr updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-10

Title: Client for the Brazilian Foreign Trade Statistics API ('ComexStat')
Description: Interface to the 'ComexStat' API <https://comexstat.mdic.gov.br/> from the Brazilian Ministry of Development, Industry, Trade and Services (MDIC). Provides access to detailed export and import data, including general trade statistics (1997-present), city-level data, historical data (1989-1996), and auxiliary tables with product codes (NCM - Nomenclatura Comum do Mercosul, NBM - Nomenclatura Brasileira de Mercadorias, HS - Harmonized System), countries, economic classifications (CGCE - Classificacao por Grandes Categorias Economicas, SITC - Standard International Trade Classification, ISIC - International Standard Industrial Classification), and other categories. Uses only 'httr2' for HTTP requests and 'cli' for console messages.
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package maxEff (with last version 0.2.3) was removed from CRAN

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

2026-03-02 0.2.3
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Previous versions (as known to CRANberries) which should be available via the Archive link are:

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Package groupedHyperframe (with last version 0.3.6) was removed from CRAN

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

2026-03-10 0.3.6
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Package groupedHyperframe.random (with last version 0.2.3) was removed from CRAN

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Package semptools updated to version 0.3.3 with previous version 0.3.2 dated 2025-07-12

Title: Customizing Structural Equation Modelling Plots
Description: Most function focus on specific ways to customize a graph. They use a 'qgraph' output as the first argument, and return a modified 'qgraph' object. This allows the functions to be chained by a pipe operator.
Author: Shu Fai Cheung [aut, cre] , Mark Hok Chio Lai [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package rFAMS updated to version 0.0.3 with previous version 0.0.2 dated 2026-02-10

Title: Fisheries Analysis and Modeling Simulator
Description: Simulates the dynamics of exploited fish populations using the Jones modification of the Beverton-Holt equilibrium yield equation to compute yield-per-recruit and dynamic pool models (Ricker 1975) <https://publications.gc.ca/site/eng/480738/publication.html>. Allows users to evaluate minimum, slot, and inverted length limits on exploited fisheries using specified life history parameters. Users can simulate population under a variety of conditional fishing mortality and conditional natural mortality. Calculated quantities include number of fish harvested and dying naturally, mean weight and length of fish harvested, number of fish that reach specified lengths of interest, total number of fish and biomass in the population, and stock density indices.
Author: Jason C. Doll [aut, cre], Derek H. Ogle [aut]
Maintainer: Jason C. Doll <jcdoll20@hotmail.com>

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Package RALSA updated to version 1.6.5 with previous version 1.6.2 dated 2026-01-30

Title: R Analyzer for Large-Scale Assessments
Description: Download, prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types will increase in future. For a general presentation of the package, see 'Mirazchiyski', 2021a (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of the package, see 'Mirazchiyski', 2021b (< [...truncated...]
Author: Plamen V. Mirazchiyski [aut, cre], INERI [aut]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@ineri.org>

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Package mlVAR updated to version 0.6.1 with previous version 0.5.5 dated 2026-02-06

Title: Multi-Level Vector Autoregression
Description: Estimates the multi-level vector autoregression model on time-series data. Three network structures are obtained: temporal networks, contemporaneous networks and between-subjects networks.
Author: Sacha Epskamp [aut, cre], Marie K. Deserno [aut], Laura F. Bringmann [aut], Myrthe Veenman [ctb], Jonas M. B. Haslbeck [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package irboost updated to version 0.2-1.1 with previous version 0.2-1.0 dated 2025-02-04

Title: Iteratively Reweighted Boosting for Robust Analysis
Description: Fit a predictive model using iteratively reweighted boosting (IRBoost) to minimize robust loss functions within the CC-family (concave-convex). This constitutes an application of iteratively reweighted convex optimization (IRCO), where convex optimization is performed using the functional descent boosting algorithm. IRBoost assigns weights to facilitate outlier identification. Applications include robust generalized linear models and robust accelerated failure time models. Wang (2025) <doi:10.6339/24-JDS1138>.
Author: Zhu Wang [aut, cre]
Maintainer: Zhu Wang <zwang145@uthsc.edu>

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Package hyreg2 updated to version 1.1.2 with previous version 1.1.1 dated 2026-01-13

Title: Estimate Latent Classes on a Mixture of Continuous and Dichotomous Data
Description: The hybrid model likelihood as described by Ramos-Goñi et al. (2017) <doi:10.1097/MLR.0000000000000283> is implemented and and embedded in a latent class framework. The package is based on 'flexmix' and among others contains an M-step-driver as described by Leisch (2004) <doi:10.18637/jss.v011.i08>. Users can, for example, estimate latent classes for EQ-5D value sets and address preference heterogeneity. Both uncensored and censored data are supported. Furthermore, heteroscedasticity can be taken into account. It is possible to control for different covariates on the continuous and dichotomous data and start values can differ between the expected latent classes.
Author: Svenja Elkenkamp [aut, cre], Kim Rand [aut], John Grosser [aut], EuroQol [fnd]
Maintainer: Svenja Elkenkamp <svenja.elkenkamp@uni-bielefeld.de>

Diff between hyreg2 versions 1.1.1 dated 2026-01-13 and 1.1.2 dated 2026-03-17

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Package dyngen updated to version 1.1.0 with previous version 1.0.5 dated 2022-10-12

Title: A Multi-Modal Simulator for Spearheading Single-Cell Omics Analyses
Description: A novel, multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution. 'dyngen' is more flexible than current single-cell simulation engines. It allows better method development and benchmarking, thereby stimulating development and testing of novel computational methods. Cannoodt et al. (2021) <doi:10.1038/s41467-021-24152-2>.
Author: Robrecht Cannoodt [aut, cre, cph] , Wouter Saelens [aut]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

Diff between dyngen versions 1.0.5 dated 2022-10-12 and 1.1.0 dated 2026-03-17

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Package DIDmultiplegtDYN updated to version 2.3.3 with previous version 2.3.2 dated 2026-03-05

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

Diff between DIDmultiplegtDYN versions 2.3.2 dated 2026-03-05 and 2.3.3 dated 2026-03-17

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Package tidyllm updated to version 0.4.0 with previous version 0.3.5 dated 2025-08-22

Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'Openai', 'Gemini','Mistral' and local models via 'Ollama' into R workflows. The package supports text and media-based interactions, interactive message history, batch request APIs, and a tidy, pipeline-oriented interface for streamlined integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://aistudio.google.com/>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre], Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

Diff between tidyllm versions 0.3.5 dated 2025-08-22 and 0.4.0 dated 2026-03-17

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Package dartR.sim updated to version 1.2.2 with previous version 0.71 dated 2025-11-14

Title: Computer Simulations of 'SNP' Data
Description: Allows to simulate SNP data using genlight objects. For example, it is straight forward to simulate a simple drift scenario with exchange of individuals between two populations or create a new genlight object based on allele frequencies of an existing genlight object.
Author: Jose L. Mijangos [aut, cre], Bernd Gruber [aut], Arthur Georges [aut], Carlo Pacioni [aut], Diana Robledo-Ruiz [aut], Peter J. Unmack [ctb], Oliver Berry [ctb]
Maintainer: Jose L. Mijangos <luis.mijangos@gmail.com>

Diff between dartR.sim versions 0.71 dated 2025-11-14 and 1.2.2 dated 2026-03-17

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Package nnmf updated to version 1.3 with previous version 1.1 dated 2026-02-03

Title: Nonnegative Matrix Factorization
Description: Nonnegative matrix factorization (NMF) is a technique to factorize a matrix with nonnegative values into the product of two matrices. Covariates are also allowed. Parallel computing is an option to enhance the speed and high-dimensional and large scale (and/or sparse) data are allowed. Relevant papers include: Wang Y. X. and Zhang Y. J. (2012). Nonnegative matrix factorization: A comprehensive review. IEEE Transactions on Knowledge and Data Engineering, 25(6): 1336-1353 <doi:10.1109/TKDE.2012.51> and Kim H. and Park H. (2008). Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM Journal on Matrix Analysis and Applications, 30(2): 713-730 <doi:10.1137/07069239X>.
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between nnmf versions 1.1 dated 2026-02-03 and 1.3 dated 2026-03-17

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Package eClosure updated to version 0.9.3 with previous version 0.9.2 dated 2026-03-09

Title: Methods Based on the e-Closure Principle
Description: Implements several methods for False Discovery Rate control based on the e-Closure Principle, in particular the Closed e-Benjamini-Hochberg and Closed Benjamini-Yekutieli procedures.
Author: Jelle Goeman [aut, cre]
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>

Diff between eClosure versions 0.9.2 dated 2026-03-09 and 0.9.3 dated 2026-03-17

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Package sweep updated to version 0.2.7 with previous version 0.2.6 dated 2025-08-28

Title: Tidy Tools for Forecasting
Description: Tidies up the forecasting modeling and prediction work flow, extends the 'broom' package with 'sw_tidy', 'sw_glance', 'sw_augment', and 'sw_tidy_decomp' functions for various forecasting models, and enables converting 'forecast' objects to "tidy" data frames with 'sw_sweep'.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between sweep versions 0.2.6 dated 2025-08-28 and 0.2.7 dated 2026-03-17

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Package obr updated to version 0.2.4 with previous version 0.2.2 dated 2026-03-12

Title: Access 'Office for Budget Responsibility' Data
Description: Provides clean, tidy access to data published by the 'Office for Budget Responsibility' ('OBR'), the UK's independent fiscal watchdog. Covers the Public Finances Databank (outturn for PSNB, PSND, receipts, and expenditure since 1946), the Historical Official Forecasts Database (every 'OBR' forecast since 2010), the Economic and Fiscal Outlook detailed forecast tables (five-year projections from the latest Budget), the Welfare Trends Report (incapacity benefit spending and caseloads), and the Fiscal Risks and Sustainability Report (50-year state pension projections). Data is downloaded from the 'OBR' on first use and cached locally for subsequent calls. Data is sourced from the 'OBR' website <https://obr.uk>.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between obr versions 0.2.2 dated 2026-03-12 and 0.2.4 dated 2026-03-17

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Package mlr3hyperband updated to version 1.1.0 with previous version 1.0.0 dated 2025-07-10

Title: Hyperband for 'mlr3'
Description: Successive Halving (Jamieson and Talwalkar (2016) <doi:10.48550/arXiv.1502.07943>) and Hyperband (Li et al. 2018 <doi:10.48550/arXiv.1603.06560>) optimization algorithm for the mlr3 ecosystem. The implementation in mlr3hyperband features improved scheduling and parallelizes the evaluation of configurations. The package includes tuners for hyperparameter optimization in mlr3tuning and optimizers for black-box optimization in bbotk.
Author: Marc Becker [aut, cre] , Sebastian Gruber [aut] , Jakob Richter [aut] , Julia Moosbauer [aut] , Bernd Bischl [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3hyperband versions 1.0.0 dated 2025-07-10 and 1.1.0 dated 2026-03-17

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Package mcptools updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-29

Title: Model Context Protocol Servers and Clients
Description: Implements the Model Context Protocol (MCP). Users can start 'R'-based servers, serving functions as tools for large language models to call before responding to the user in MCP-compatible apps like 'Claude Desktop' and 'Claude Code', with options to run those tools inside of interactive 'R' sessions. On the other end, when 'R' is the client via the 'ellmer' package, users can register tools from third-party MCP servers to integrate additional context into chats.
Author: Simon Couch [aut, cre] , Winston Chang [aut] , Charlie Gao [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

Diff between mcptools versions 0.2.0 dated 2025-10-29 and 0.2.1 dated 2026-03-17

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Package KODAMA readmission to version 3.2 with previous version 3.0 dated 2025-06-03

Title: Knowledge Discovery by Accuracy Maximization
Description: A self-guided, weakly supervised learning algorithm for feature extraction from noisy and high-dimensional data. It facilitates the identification of patterns that reflect underlying group structures across all samples in a dataset. The method incorporates a novel strategy to integrate spatial information, improving the interpretability of results in spatially resolved data.
Author: Stefano Cacciatore [aut, trl, cre] , Leonardo Tenori [aut]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>

This is a re-admission after prior archival of version 3.0 dated 2025-06-03

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Package jskm updated to version 0.6.2 with previous version 0.6.1 dated 2026-02-11

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd], sungho Choi [aut], Mingu Jee [aut], Wonbin Hahn [aut], Taehong Kim [aut], Sangho Oh [aut], Sewon Lee [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package IRTest updated to version 2.2.0 with previous version 2.1.0 dated 2024-10-04

Title: Parameter Estimation of Item Response Theory with Estimation of Latent Distribution
Description: Item response theory (IRT) parameter estimation using marginal maximum likelihood and expectation-maximization algorithm (Bock \& Aitkin, 1981 <doi:10.1007/BF02293801>). Within parameter estimation algorithm, several methods for latent distribution estimation are available. Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.
Author: Seewoo Li [aut, cre, cph]
Maintainer: Seewoo Li <seewooli@g.ucla.edu>

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Package immundata updated to version 0.0.6 with previous version 0.0.5 dated 2025-10-09

Title: A Unified Data Layer for Large-Scale Single-Cell, Spatial and Bulk Immunomics
Description: Provides a unified data layer for single-cell, spatial and bulk T-cell and B-cell immune receptor repertoire data. Think AnnData or SeuratObject, but for AIRR data, a.k.a. Adaptive Immune Receptor Repertoire, VDJ-seq, RepSeq, or VDJ sequencing data.
Author: Vadim I. Nazarov [aut, cre]
Maintainer: Vadim I. Nazarov <support@immunomind.com>

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Package idendr0 updated to version 1.5.4 with previous version 1.5.3 dated 2017-02-22

Title: Interactive Dendrograms
Description: Interactive dendrogram that enables the user to select and color clusters, to zoom and pan the dendrogram, and to visualize the clustered data not only in a built-in heat map, but also in 'GGobi' interactive plots and user-supplied plots. This is a backport of Qt-based 'idendro' (<https://github.com/tsieger/idendro>) to base R graphics and Tcl/Tk GUI.
Author: Tomas Sieger [aut, cre]
Maintainer: Tomas Sieger <tomas.sieger@seznam.cz>

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Package hmrc updated to version 0.3.2 with previous version 0.3.0 dated 2026-03-12

Title: Download and Tidy 'HMRC' Statistical Data
Description: Provides functions to download, parse, and tidy statistical data published by 'HM Revenue and Customs' ('HMRC') on 'GOV.UK'. Covers monthly tax receipts (41 tax heads from 2016), VAT (from 1973), fuel duties (from 1990), tobacco duties (from 1991), annual Corporation Tax receipts, stamp duty, research and development tax credit statistics (from 2000), tax gap estimates, Income Tax liabilities by income range, and monthly property transaction counts. File URLs are resolved at runtime via the 'GOV.UK' Content API <https://www.gov.uk/api/content>, so data is always current without hardcoded URLs. Files are cached locally between sessions.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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More information about hmrc at CRAN
Permanent link

Package GitStats updated to version 2.4.0 with previous version 2.3.9 dated 2026-01-11

Title: Standardized Git Repository Data
Description: Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 'Git' platforms by providing a unified way to access repository data.
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>

Diff between GitStats versions 2.3.9 dated 2026-01-11 and 2.4.0 dated 2026-03-17

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More information about GitStats at CRAN
Permanent link

Package ggrepel updated to version 0.9.8 with previous version 0.9.7 dated 2026-02-25

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

Diff between ggrepel versions 0.9.7 dated 2026-02-25 and 0.9.8 dated 2026-03-17

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More information about ggrepel at CRAN
Permanent link

Package froggeR updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-09

Title: Project Scaffolding for R and 'Quarto'
Description: Creates structured R and 'Quarto' projects with a consistent directory layout: scripts in R/, analysis documents in analysis/, and web assets in www/. The primary entry point, init(), downloads the latest template from a companion 'GitHub' repository so that project structure evolves independently of package releases. Supports persistent author metadata and 'Quarto' brand configuration that carry across projects automatically.
Author: Kyle Grealis [aut, cre]
Maintainer: Kyle Grealis <kyleGrealis@proton.me>

Diff between froggeR versions 1.0.0 dated 2026-02-09 and 1.0.1 dated 2026-03-17

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More information about froggeR at CRAN
Permanent link

Package extr updated to version 1.1.0 with previous version 1.0.0 dated 2025-09-21

Title: Extinction Risk Estimation
Description: Estimates extinction risk from population time series under a drifted Wiener process using MLE and observation-error-and-autocovariance-robust estimators, with confidence intervals based on the w-z method.
Author: Hiroshi Hakoyama [aut, cre, cph]
Maintainer: Hiroshi Hakoyama <hiroshi.hakoyama@gmail.com>

Diff between extr versions 1.0.0 dated 2025-09-21 and 1.1.0 dated 2026-03-17

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More information about extr at CRAN
Permanent link

Package EmpiricalDynamics updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-16

Title: Empirical Discovery of Differential Equations from Time Series Data
Description: A comprehensive toolkit for discovering differential and difference equations from empirical time series data using symbolic regression. The package implements a complete workflow from data preprocessing (including Total Variation Regularized differentiation for noisy economic data), visual exploration of dynamical structure, and symbolic equation discovery via genetic algorithms. It leverages a high-performance 'Julia' backend ('SymbolicRegression.jl') to provide industrial-grade robustness, physics-informed constraints, and rigorous out-of-sample validation. Designed for economists, physicists, and researchers studying dynamical systems from observational data.
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

Diff between EmpiricalDynamics versions 0.1.2 dated 2026-01-16 and 0.1.3 dated 2026-03-17

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More information about EmpiricalDynamics at CRAN
Permanent link

Package distributional updated to version 0.7.0 with previous version 0.6.0 dated 2026-01-14

Title: Vectorised Probability Distributions
Description: Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
Author: Mitchell O'Hara-Wild [aut, cre] , Matthew Kay [aut] , Alex Hayes [aut] , Rob Hyndman [aut] , Earo Wang [ctb] , Vencislav Popov [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between distributional versions 0.6.0 dated 2026-01-14 and 0.7.0 dated 2026-03-17

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More information about distributional at CRAN
Permanent link

Package dartR.data updated to version 1.2.2 with previous version 1.0.8 dated 2024-05-29

Title: Auxiliary Data Package for Our Main Package 'dartR'
Description: Data package for 'dartR'. Provides data sets to run examples in 'dartR'. This was necessary due to the size limit imposed by 'CRAN'. The data in 'dartR.data' is needed to run the examples provided in the 'dartR' functions. All available data sets are either based on actual data (but reduced in size) and/or simulated data sets to allow the fast execution of examples and demonstration of the functions.
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Oliver Berry [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

Diff between dartR.data versions 1.0.8 dated 2024-05-29 and 1.2.2 dated 2026-03-17

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Package dartR.captive updated to version 1.2.2 with previous version 1.0.2 dated 2025-02-18

Title: Analysing 'SNP' Data to Support Captive Breeding
Description: Functions are provided that facilitate the analysis of SNP (single nucleotide polymorphism) data to answer questions regarding captive breeding and relatedness between individuals. 'dartR.captive' is part of the 'dartRverse' suit of packages. Gruber et al. (2018) <doi:10.1111/1755-0998.12745>. Mijangos et al. (2022) <doi:10.1111/2041-210X.13918>.
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Floriaan Devloo-Delva [ctb], Eric Archer [ctb], Sam Amini [ctb], Ethan Halford [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

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Package CSTools updated to version 5.3.1 with previous version 5.3.0 dated 2025-11-14

Title: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales
Description: Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. This package was developed in the context of the ERA4CS project MEDSCOPE and the H2020 S2S4E project and includes contributions from ArticXchange project founded by EU-PolarNet 2. Implements methods described in Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>, Doblas-Reyes et al. (2005) <doi:10.1111/j.1600-0870.2005.00104.x>, Mishra et al. (2018) <doi:10.1007/s00382-018-4404-z>, Sanchez-Garcia et al. (2019) <doi:10.5194/asr-16-165-2019>, Straus et al. (2007) <doi:10.1175/JCLI4070.1>, Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>, Torralba et al. (2017) <doi:10.117 [...truncated...]
Author: Nuria Perez-Zanon [aut] , Louis-Philippe Caron [aut] , Carmen Alvarez-Castro [aut] , Lauriane Batte [aut], Carlos Delgado [aut], Jost von Hardenberg [aut] , Llorenc LLedo [aut], Nicolau Manubens [aut], Lluis Palma [aut], Eroteida Sanchez-Garcia [aut] [...truncated...]
Maintainer: Victoria Agudetse <victoria.agudetse@bsc.es>

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Package clinTrialData readmission to version 0.1.3 with previous version 0.1.0 dated 2026-03-03

Title: Clinical Trial Example Datasets
Description: A collection of clinical trial example datasets from multiple sources including the CDISC Pilot 01 study (CDISC <https://www.cdisc.org/>). All datasets are provided in Parquet format for efficient storage and can be accessed using the 'connector' package. Designed for training, testing, prototyping, and demonstrating clinical data analysis workflows.
Author: Lovemore Gakava [aut, cre, cph]
Maintainer: Lovemore Gakava <Lovemore.Gakava@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2026-03-03

Diff between clinTrialData versions 0.1.0 dated 2026-03-03 and 0.1.3 dated 2026-03-17

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Package campsismod updated to version 1.3.1 with previous version 1.3.0 dated 2026-01-27

Title: Generic Implementation of a PK/PD Model
Description: A generic, easy-to-use and expandable implementation of a pharmacokinetic (PK) / pharmacodynamic (PD) model based on the S4 class system. This package allows the user to read and write pharmacometric models from and to files, including a JSON-based interface to import Campsis models defined using a formal JSON schema distributed with the package. Models can be adapted further on the fly in the R environment using an intuitive API to add, modify or delete equations, ordinary differential equations (ODEs), model parameters or compartment properties (such as infusion duration or rate, bioavailability and initial values). The package also provides export facilities for use with the simulation packages 'rxode2' and 'mrgsolve'. The package itself is licensed under the GPL (>= 3); the JSON schema file shipped in inst/extdata is licensed separately under the Creative Commons Attribution 4.0 International (CC BY 4.0). This package is designed and intended to be used with the package 'campsi [...truncated...]
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

Diff between campsismod versions 1.3.0 dated 2026-01-27 and 1.3.1 dated 2026-03-17

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Package boe updated to version 0.1.2 with previous version 0.1.0 dated 2026-03-12

Title: Download Data from the 'Bank of England' Statistical Database
Description: Provides functions to download and tidy statistical data published by the 'Bank of England' <https://www.bankofengland.co.uk>. Covers Bank Rate, 'SONIA', gilt yields, exchange rates, mortgage rates, mortgage approvals, consumer credit, and money supply. Series are fetched from the 'Bank of England Interactive Statistical Database' using its CSV endpoint. Data is cached locally between sessions.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between boe versions 0.1.0 dated 2026-03-12 and 0.1.2 dated 2026-03-17

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Package and updated to version 0.1.8 with previous version 0.1.7 dated 2025-12-01

Title: Construct Natural-Language Lists with Internationalization
Description: Construct language-aware lists. Make "and"-separated and "or"-separated lists that automatically conform to the user's language settings.
Author: Alexander Rossell Hayes [aut, cre, cph] , Unicode, Inc. [dtc] , Flavia Rossell Hayes [ill]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between and versions 0.1.7 dated 2025-12-01 and 0.1.8 dated 2026-03-17

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Package robust.prioritizr updated to version 1.0.3 with previous version 1.0.2 dated 2026-03-03

Title: Robust Systematic Conservation Prioritization
Description: Systematic conservation prioritization with robust optimization techniques. This is important because conservation prioritizations typically only consider the most likely outcome associated with a conservation action (e.g., establishing a protected area will safeguard a threatened species population) and fail to consider other outcomes and their consequences for meeting conservation objectives. By extending the 'prioritizr' package, this package can be used to generate conservation prioritizations that account of uncertainty in the climate change scenario projections, species distribution models, ecosystem service models, and measurement errors. In particular, prioritizations can be generated to be fully robust to uncertainty by minimizing (or maximizing) objectives under the worst possible outcome. Since reducing the uncertainty associated with achieving conservation objectives may sacrifice other objectives (e.g., minimizing protected area implementation costs), prioritizations can a [...truncated...]
Author: Frankie Cho [aut, cre, cph] , Jeffrey O Hanson [aut]
Maintainer: Frankie Cho <frankie.cho@monash.edu>

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Package pathling updated to version 9.5.0 with previous version 9.4.0 dated 2026-02-24

Title: A Library for using 'Pathling'
Description: R API for 'Pathling', a tool for querying and transforming electronic health record data that is represented using the 'Fast Healthcare Interoperability Resources' (FHIR) standard - see <https://pathling.csiro.au/docs>.
Author: Australian e-Health Research Centre, CSIRO [cph, cre], Piotr Szul [aut], John Grimes [aut]
Maintainer: "Australian e-Health Research Centre, CSIRO" <pathling@csiro.au>

Diff between pathling versions 9.4.0 dated 2026-02-24 and 9.5.0 dated 2026-03-17

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Package MultiPhen updated to version 2.0.4 with previous version 2.0.3 dated 2020-02-09

Title: A Package to Test for Multi-Trait Association
Description: Performs genetic association tests between SNPs (one-at-a-time) and multiple phenotypes (separately or in joint model).
Author: Lachlan Coin [aut, cre], Paul O'Reilly [aut], Yotsawat Pompyen [aut], Clive Hoggart [aut], Federico Calboli [aut]
Maintainer: Lachlan Coin <l.coin@imb.uq.edu.au>

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