Mon, 25 Aug 2025

Package ggpicrust2 updated to version 2.5.2 with previous version 2.3.2 dated 2025-07-15

Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <doi:10.1093/bioinformatics/btad470>.
Author: Chen Yang [aut, cre], Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>

Diff between ggpicrust2 versions 2.3.2 dated 2025-07-15 and 2.5.2 dated 2025-08-25

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 ggpicrust2-2.5.2/ggpicrust2/R/pathway_daa.R                                                   |  560 ++++++++--
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 ggpicrust2-2.5.2/ggpicrust2/R/visualize_gsea.R                                                |  208 +++
 ggpicrust2-2.5.2/ggpicrust2/R/zzz.R                                                           |    6 
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More information about ggpicrust2 at CRAN
Permanent link

Package future.batchtools updated to version 0.20.0 with previous version 0.12.2 dated 2025-06-05

Title: A Future API for Parallel and Distributed Processing using 'batchtools'
Description: Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the 'batchtools' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- future.apply::future_lapply(files, FUN = process)'.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future.batchtools versions 0.12.2 dated 2025-06-05 and 0.20.0 dated 2025-08-25

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More information about future.batchtools at CRAN
Permanent link

Package lessSEM updated to version 1.5.6 with previous version 1.5.5 dated 2024-01-22

Title: Non-Smooth Regularization for Structural Equation Models
Description: Provides regularized structural equation modeling (regularized SEM) with non-smooth penalty functions (e.g., lasso) building on 'lavaan'. The package is heavily inspired by the ['regsem'](<https://github.com/Rjacobucci/regsem>) and ['lslx'](<https://github.com/psyphh/lslx>) packages.
Author: Jannik H. Orzek [aut, cre, cph]
Maintainer: Jannik H. Orzek <jannik.orzek@mailbox.org>

Diff between lessSEM versions 1.5.5 dated 2024-01-22 and 1.5.6 dated 2025-08-25

 DESCRIPTION                                            |   22 +++++----
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Package GUniFrac updated to version 1.9 with previous version 1.8 dated 2023-09-13

Title: Generalized UniFrac Distances, Distance-Based Multivariate Methods and Feature-Based Univariate Methods for Microbiome Data Analysis
Description: A suite of methods for powerful and robust microbiome data analysis including data normalization, data simulation, community-level association testing and differential abundance analysis. It implements generalized UniFrac distances, Geometric Mean of Pairwise Ratios (GMPR) normalization, semiparametric data simulator, distance-based statistical methods, and feature-based statistical methods. The distance-based statistical methods include three extensions of PERMANOVA: (1) PERMANOVA using the Freedman-Lane permutation scheme, (2) PERMANOVA omnibus test using multiple matrices, and (3) analytical approach to approximating PERMANOVA p-value. Feature-based statistical methods include linear model-based methods for differential abundance analysis of zero-inflated high-dimensional compositional data.
Author: Jun Chen [aut, cre], Xianyang Zhang [aut], Lu Yang [aut], Lujun Zhang [aut]
Maintainer: Jun Chen <chen.jun2@mayo.edu>

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Package gsDesign updated to version 3.7.0 with previous version 3.6.9 dated 2025-06-25

Title: Group Sequential Design
Description: Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Author: Keaven Anderson [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>

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Package CTxCC updated to version 0.3.0 with previous version 0.2.0 dated 2024-11-08

Title: Multivariate Normal Mean Monitoring Through Critical-to-X Control Chart
Description: A comprehensive set of functions designed for multivariate mean monitoring using the Critical-to-X Control Chart. These functions enable the determination of optimal control limits based on a specified in-control Average Run Length (ARL), the calculation of out-of-control ARL for a given control limit, and post-signal analysis to identify the specific variable responsible for a detected shift in the mean. This suite of tools provides robust support for precise and effective process monitoring and analysis.
Author: Burcu Aytacoglu [aut] , Diana Barraza-Barraza [aut, cre] , Victor G. Tercero-Gomez [aut] , A. Eduardo Cordero-Franco [aut]
Maintainer: Diana Barraza-Barraza <diana.barraza@ujed.mx>

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Package climwin updated to version 1.2.32 with previous version 1.2.31 dated 2025-06-08

Title: Climate Window Analysis
Description: Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a given biological response. Please see van de Pol et al. (2016) <doi:10.1111/2041-210X.12590> and Bailey and van de Pol (2016) <doi:10.1371/journal.pone.0167980> for details.
Author: Liam D. Bailey [aut, cre], Martijn van de Pol [aut]
Maintainer: Liam D. Bailey <liam.bailey@liamdbailey.com>

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Package quickr updated to version 0.2.0 with previous version 0.1.0 dated 2025-06-03

Title: Compiler for R
Description: Compile R functions annotated with type and shape declarations for extremely fast performance and robust runtime type checking. Supports both just-in-time (JIT) and ahead-of-time (AOT) compilation. Compilation is performed by lowering R code to Fortran.
Author: Tomasz Kalinowski [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package surveytable updated to version 0.9.9 with previous version 0.9.8 dated 2025-05-22

Title: Streamlining Complex Survey Estimation and Reliability Assessment in R
Description: Short and understandable commands that generate tabulated, formatted, and rounded survey estimates. Mostly a wrapper for the 'survey' package (Lumley (2004) <doi:10.18637/jss.v009.i08> <https://CRAN.R-project.org/package=survey>) that identifies low-precision estimates using the National Center for Health Statistics (NCHS) presentation standards (Parker et al. (2017) <https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf>, Parker et al. (2023) <doi:10.15620/cdc:124368>).
Author: Alex Strashny [aut, cre]
Maintainer: Alex Strashny <alex.strashny@gmail.com>

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Package SCORPION updated to version 1.1.0 with previous version 1.0.2 dated 2024-05-29

Title: Single Cell Oriented Reconstruction of PANDA Individual Optimized Networks
Description: Constructs gene regulatory networks from single-cell gene expression data using the PANDA (Passing Attributes between Networks for Data Assimilation) algorithm.
Author: Daniel Osorio [aut, cre] , Marieke L. Kuijjer [aut]
Maintainer: Daniel Osorio <daniecos@uio.no>

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Package SASmarkdown readmission to version 0.8.7 with previous version 0.8.2 dated 2023-03-10

Title: 'SAS' Markdown
Description: Settings and functions to extend the 'knitr' 'SAS' engine.
Author: Doug Hemken [aut, cre] ), Chao Cheng [ctb]
Maintainer: Doug Hemken <d_hemken@yahoo.com>

This is a re-admission after prior archival of version 0.8.2 dated 2023-03-10

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Package RprobitB updated to version 1.2.0 with previous version 1.1.4 dated 2024-02-26

Title: Bayesian Probit Choice Modeling
Description: Bayes estimation of probit choice models in cross-sectional and panel settings. The package can analyze binary, multivariate, ordered, and ranked choices, as well as heterogeneity of choice behavior among deciders. The main functionality includes model fitting via Gibbs sampling, tools for convergence diagnostic, choice data simulation, in-sample and out-of-sample choice prediction, and model selection using information criteria and Bayes factors. The latent class model extension facilitates preference-based decider classification, where the number of latent classes can be inferred via the Dirichlet process or a weight-based updating heuristic. This allows for flexible modeling of choice behavior without the need to impose structural constraints. For a reference on the method, see Oelschlaeger and Bauer (2021) <https://trid.trb.org/view/1759753>.
Author: Lennart Oelschlaeger [aut, cre] , Dietmar Bauer [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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More information about RprobitB at CRAN
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Package easyPubMed updated to version 3.1.6 with previous version 2.13 dated 2019-03-29

Title: Search and Retrieve Scientific Publication Records from PubMed
Description: Query NCBI Entrez and retrieve PubMed records in XML or text format. Process PubMed records by extracting and aggregating data from selected fields. A large number of records can be easily downloaded via this simple-to-use interface to the NCBI PubMed API.
Author: Damiano Fantini [aut, cre]
Maintainer: Damiano Fantini <damiano.fantini@gmail.com>

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Package PrInDT updated to version 2.0.1 with previous version 2.0.0 dated 2025-07-21

Title: Prediction and Interpretation in Decision Trees for Classification and Regression
Description: Optimization of conditional inference trees from the package 'party' for classification and regression. For optimization, the model space is searched for the best tree on the full sample by means of repeated subsampling. Restrictions are allowed so that only trees are accepted which do not include pre-specified uninterpretable split results (cf. Weihs & Buschfeld, 2021a). The function PrInDT() represents the basic resampling loop for 2-class classification (cf. Weihs & Buschfeld, 2021a). The function RePrInDT() (repeated PrInDT()) allows for repeated applications of PrInDT() for different percentages of the observations of the large and the small classes (cf. Weihs & Buschfeld, 2021c). The function NesPrInDT() (nested PrInDT()) allows for an extra layer of subsampling for a specific factor variable (cf. Weihs & Buschfeld, 2021b). The functions PrInDTMulev() and PrInDTMulab() deal with multilevel and multilabel classification. In addition to these PrInDT() variants for c [...truncated...]
Author: Claus Weihs [aut, cre], Sarah Buschfeld [aut], Niklas Nitsch [ctb]
Maintainer: Claus Weihs <claus.weihs@tu-dortmund.de>

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Package logmult updated to version 0.7.5 with previous version 0.7.4 dated 2022-02-23

Title: Log-Multiplicative Models, Including Association Models
Description: Functions to fit log-multiplicative models using 'gnm', with support for convenient printing, plots, and jackknife/bootstrap standard errors. For complex survey data, models can be fitted from design objects from the 'survey' package. Currently supported models include UNIDIFF (Erikson & Goldthorpe, 1992), a.k.a. log-multiplicative layer effect model (Xie, 1992) <doi:10.2307/2096242>, and several association models: Goodman (1979) <doi:10.2307/2286971> row-column association models of the RC(M) and RC(M)-L families with one or several dimensions; two skew-symmetric association models proposed by Yamaguchi (1990) <doi:10.2307/271086> and by van der Heijden & Mooijaart (1995) <doi:10.1177/0049124195024001002> Functions allow computing the intrinsic association coefficient (see Bouchet-Valat (2022) <doi:10.1177/0049124119852389>) and the Altham (1970) index <doi:10.1111/j.2517-6161.1970.tb00816.x>, including via the Bayes shrinkage estimator pro [...truncated...]
Author: Milan Bouchet-Valat [aut, cre], Heather Turner [ctb], Michael Friendly [ctb], Jim Lemon [cph], Gabor Csardi [cph]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>

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Package getRad updated to version 0.2.1 with previous version 0.2.0 dated 2025-07-16

Title: Download Radar Data for Biological Research
Description: Load polar volume and vertical profile data for aeroecological research directly into R. With 'getRad' you can access data from several sources in Europe and the US and standardize it to facilitate further exploration in tools such as 'bioRad'.
Author: Bart Kranstauber [aut, cre] , Pieter Huybrechts [aut] ), Peter Desmet [aut] ), Cecilia Nilsson [ctb] , Alexander Tedeschi [ctb] , Hidde Leijnse [ctb] , Bart Hoekstra [ctb] , University of Amsterdam [cph] , Biodiversa+ [fnd]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

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Package av updated to version 0.9.5 with previous version 0.9.4 dated 2025-01-29

Title: Working with Audio and Video in R
Description: Bindings to 'FFmpeg' <http://www.ffmpeg.org/> AV library for working with audio and video in R. Generates high quality video from images or R graphics with custom audio. Also offers high performance tools for reading raw audio, creating 'spectrograms', and converting between countless audio / video formats. This package interfaces directly to the C API and does not require any command line utilities.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package pmxTools updated to version 1.5 with previous version 1.3 dated 2023-02-21

Title: Pharmacometric and Pharmacokinetic Toolkit
Description: Pharmacometric tools for common data analytical tasks; closed-form solutions for calculating concentrations at given times after dosing based on compartmental PK models (1-compartment, 2-compartment and 3-compartment, covering infusions, zero- and first-order absorption, and lag times, after single doses and at steady state, per Bertrand & Mentre (2008) <https://www.facm.ucl.ac.be/cooperation/Vietnam/WBI-Vietnam-October-2011/Modelling/Monolix32_PKPD_library.pdf>); parametric simulation from NONMEM-generated parameter estimates and other output; and parsing, tabulating and plotting results generated by Perl-speaks-NONMEM (PsN).
Author: Justin Wilkins [aut, cre] , Bill Denney [aut] , Rik Schoemaker [aut], Satyaprakash Nayak [ctb], Leonid Gibiansky [ctb], Andrew Hooker [ctb], E. Niclas Jonsson [ctb], Mats O. Karlsson [ctb], John Johnson [ctb]
Maintainer: Justin Wilkins <justin.wilkins@occams.com>

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Package BiTrinA updated to version 1.3.2 with previous version 1.3.1 dated 2023-10-02

Title: Binarization and Trinarization of One-Dimensional Data
Description: Provides methods for the binarization and trinarization of one-dimensional data and some visualization functions.
Author: Stefan Mundus [aut], Christoph Muessel [aut], Florian Schmid [aut], Ludwig Lausser [aut], Tamara J. Blaette [aut], Martin Hopfensitz [aut], Paul Kaftan [ctb], Hans A. Kestler [aut, cre]
Maintainer: Hans A. Kestler <hans.kestler@uni-ulm.de>

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Package siera updated to version 0.5.2 with previous version 0.5.0 dated 2025-07-29

Title: Generate Analysis Results Programmes Using ARS Metadata
Description: Analysis Results Standard (ARS), a foundational standard by CDISC (Clinical Data Interchange Standards Consortium), provides a logical data model for metadata describing all components to calculate Analysis Results. <https://www.cdisc.org/standards/foundational/analysis-results-standard> Using 'siera' package, ARS metadata is ingested (JSON or Excel format), producing programmes to generate Analysis Results Datasets (ARDs).
Author: Malan Bosman [aut, cre], Clymb Clinical [cph, fnd]
Maintainer: Malan Bosman <malanbos@gmail.com>

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Package PlotFTIR updated to version 1.2.1 with previous version 1.2.0 dated 2025-03-31

Title: Plot FTIR Spectra
Description: The goal of 'PlotFTIR' is to easily and quickly kick-start the production of journal-quality Fourier Transform Infra-Red (FTIR) spectral plots in R using 'ggplot2'. The produced plots can be published directly or further modified by 'ggplot2' functions. L'objectif de 'PlotFTIR' est de démarrer facilement et rapidement la production des tracés spectraux de spectroscopie infrarouge à transformée de Fourier (IRTF) de qualité journal dans R à l'aide de 'ggplot2'. Les tracés produits peuvent être publiés directement ou modifiés davantage par les fonctions 'ggplot2'.
Author: Philip Bulsink [aut, cre] , Ulrich Makanda [trl] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources [cph]
Maintainer: Philip Bulsink <philip.bulsink@nrcan-rncan.gc.ca>

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Package PhotoGEA updated to version 1.4.0 with previous version 1.3.3 dated 2025-06-12

Title: Photosynthetic Gas Exchange Analysis
Description: Read, process, fit, and analyze photosynthetic gas exchange measurements. Documentation is provided by several vignettes; also see Lochocki, Salesse-Smith, & McGrath (2025) <doi:10.1111/pce.15501>.
Author: Edward B. Lochocki [cre, aut] , Coralie E. Salesse-Smith [aut] , Justin M. McGrath [aut] , PhotoGEA authors [cph]
Maintainer: Edward B. Lochocki <eloch@illinois.edu>

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Package gte updated to version 1.2-4 with previous version 1.2-3 dated 2022-04-16

Title: Generalized Turnbull's Estimator
Description: Generalized Turnbull's estimator proposed by Dehghan and Duchesne (2011).
Author: Mohammad Hossein Dehghan [aut], Thierry Duchesne [aut, cre], Sophie Baillargeon [aut]
Maintainer: Thierry Duchesne <thierry.duchesne@mat.ulaval.ca>

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Package EntropicStatistics updated to version 0.1.1 with previous version 0.1.0 dated 2023-05-29

Title: Functions Based on Entropic Statistics
Description: Contains methods for data analysis in entropic perspective. These entropic perspective methods are nonparametric, and perform better on non-ordinal data. Currently, the package has a function HeatMap() for visualizing distributional characteristics among multiple populations (groups).
Author: Jialin Zhang [aut, cph, cre]
Maintainer: Jialin Zhang (JZ) <jzhang@math.msstate.edu>

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Package whirl updated to version 0.3.1 with previous version 0.3.0 dated 2025-07-08

Title: Log Execution of Scripts
Description: Logging of scripts suitable for clinical trials using 'Quarto' to create nice human readable logs. 'whirl' enables execution of scripts in batch, while simultaneously creating logs for the execution of each script, and providing an overview summary log of the entire batch execution.
Author: Aksel Thomsen [aut, cre], Lovemore Gakava [aut], Cervan Girard [aut], Kristian Troejelsgaard [aut], Steffen Falgreen Larsen [aut], Vladimir Obucina [aut], Michael Svingel [aut], Skander Mulder [aut], Oliver Lundsgaard [aut], Novo Nordisk A/S [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>

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Package TauStar updated to version 1.1.8 with previous version 1.1.7 dated 2024-12-12

Title: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance
Description: Computes the t* statistic corresponding to the tau* population coefficient introduced by Bergsma and Dassios (2014) <DOI:10.3150/13-BEJ514> and does so in O(n^2) time following the algorithm of Heller and Heller (2016) <DOI:10.48550/arXiv.1605.08732> building off of the work of Weihs, Drton, and Leung (2016) <DOI:10.1007/s00180-015-0639-x>. Also allows for independence testing using the asymptotic distribution of t* as described by Nandy, Weihs, and Drton (2016) <DOI:10.1214/16-EJS1166>.
Author: Luca Weihs [aut], Emin Martinian [ctb] , Julian D. Karch [cre]
Maintainer: Julian D. Karch <j.d.karch@fsw.leidenuniv.nl>

Diff between TauStar versions 1.1.7 dated 2024-12-12 and 1.1.8 dated 2025-08-25

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Package tastypie updated to version 0.1.2 with previous version 0.1.1 dated 2023-09-06

Title: Easy Pie Charts
Description: You only need to type 'why pie charts are bad' on Google to find thousands of articles full of (valid) reasons why other types of charts should be preferred over this one. Therefore, because of the little use due to the reasons already mentioned, making pie charts (and related) in R is not straightforward, so other functions are needed to simplify things. In this R package there are useful functions to make 'tasty' pie charts immediately by exploiting the many cool templates provided.
Author: Paolo Dalena [aut, cre]
Maintainer: Paolo Dalena <paolodalena97@gmail.com>

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Package rnrfa updated to version 2.1.0.7 with previous version 2.1.0.6 dated 2024-06-19

Title: UK National River Flow Archive Data from R
Description: Utility functions to retrieve data from the UK National River Flow Archive (<https://nrfa.ceh.ac.uk/>, terms and conditions: <https://nrfa.ceh.ac.uk/help/costs-terms-and-conditions>). The package contains R wrappers to the UK NRFA data temporary-API. There are functions to retrieve stations falling in a bounding box, to generate a map and extracting time series and general information. The package is fully described in Vitolo et al (2016) "rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archive" <https://journal.r-project.org/archive/2016/RJ-2016-036/RJ-2016-036.pdf>.
Author: Ilaria Prosdocimi [ctb, cre] , Claudia Vitolo [aut] , Matthew Fry [ctb] , Wouter Buytaert [ctb] , Michael Spencer [ctb] , Tobias Gauster [ctb]
Maintainer: Ilaria Prosdocimi <prosdocimi.ilaria@gmail.com>

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Package micompr updated to version 1.3.0 with previous version 1.2.0 dated 2025-06-28

Title: Multivariate Independent Comparison of Observations
Description: A procedure for comparing multivariate samples associated with different groups. It uses principal component analysis to convert multivariate observations into a set of linearly uncorrelated statistical measures, which are then compared using a number of statistical methods. The procedure is independent of the distributional properties of samples and automatically selects features that best explain their differences, avoiding manual selection of specific points or summary statistics. It is appropriate for comparing samples of time series, images, spectrometric measures or similar multivariate observations. This package is described in Fachada et al. (2016) <doi:10.32614/RJ-2016-055>.
Author: Nuno Fachada [aut, cre]
Maintainer: Nuno Fachada <faken@fakenmc.com>

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Package sreg updated to version 2.0.2 with previous version 2.0.1 dated 2025-08-19

Title: Stratified Randomized Experiments
Description: Estimate average treatment effects (ATEs) in stratified randomized experiments. `sreg` supports a wide range of stratification designs, including matched pairs, n-tuple designs, and larger strata with many units — possibly of unequal size across strata. 'sreg' is designed to accommodate scenarios with multiple treatments and cluster-level treatment assignments, and accommodates optimal linear covariate adjustment based on baseline observable characteristics. 'sreg' computes estimators and standard errors based on Bugni, Canay, Shaikh (2018) <doi:10.1080/01621459.2017.1375934>; Bugni, Canay, Shaikh, Tabord-Meehan (2024+) <doi:10.48550/arXiv.2204.08356>; Jiang, Linton, Tang, Zhang (2023+) <doi:10.48550/arXiv.2201.13004>; Bai, Jiang, Romano, Shaikh, and Zhang (2024) <doi:10.1016/j.jeconom.2024.105740>; Bai (2022) <doi:10.1257/aer.20201856>; Bai, Romano, and Shaikh (2022) <doi:10.1080/01621459.2021.1883437>; Liu (2024+) <doi:10.48550/arXiv.2301.09016& [...truncated...]
Author: Juri Trifonov [aut, cre, cph], Yuehao Bai [aut], Azeem Shaikh [aut], Max Tabord-Meehan [aut]
Maintainer: Juri Trifonov <jutrifonov@u.northwestern.edu>

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Package soc.ca readmission to version 0.8.1 with previous version 0.8.0 dated 2021-09-02

Title: Specific Correspondence Analysis for the Social Sciences
Description: Specific and class specific multiple correspondence analysis on survey-like data. Soc.ca is optimized to the needs of the social scientist and presents easily interpretable results in near publication ready quality.
Author: Anton Grau Larsen [aut, cre], Jacob Lunding [aut], Stefan Andrade [aut]
Maintainer: Anton Grau Larsen <agraul@ruc.dk>

This is a re-admission after prior archival of version 0.8.0 dated 2021-09-02

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Package R.temis readmission to version 0.1.4 with previous version 0.1.3 dated 2021-05-12

Title: Integrated Text Mining Solution
Description: An integrated solution to perform a series of text mining tasks such as importing and cleaning a corpus, and analyses like terms and documents counts, lexical summary, terms co-occurrences and documents similarity measures, graphs of terms, correspondence analysis and hierarchical clustering. Corpora can be imported from spreadsheet-like files, directories of raw text files, as well as from 'Dow Jones Factiva', 'LexisNexis', 'Europresse' and 'Alceste' files.
Author: Milan Bouchet-Valat [aut, cre], Gilles Bastin [aut], Antoine Chollet [aut]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>

This is a re-admission after prior archival of version 0.1.3 dated 2021-05-12

Diff between R.temis versions 0.1.3 dated 2021-05-12 and 0.1.4 dated 2025-08-25

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Package pmxcv updated to version 0.0.2 with previous version 0.0.1.0 dated 2024-03-26

Title: Integration-Based Coefficients of Variation
Description: Estimate coefficient of variation percent (CV%) for any arbitrary distribution, including some built-in estimates for commonly-used transformations in pharmacometrics. Methods are described in various sources, but applied here as summarized in: Prybylski, (2024) <doi:10.1007/s40262-023-01343-2>.
Author: John Prybylski [aut, cre, cph]
Maintainer: John Prybylski <jprybylski@gmail.com>

Diff between pmxcv versions 0.0.1.0 dated 2024-03-26 and 0.0.2 dated 2025-08-25

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Package lmeSplines updated to version 1.1.15 with previous version 1.1-12 dated 2022-05-02

Title: Add Smoothing Spline Modelling Capability to `nlme`
Description: Adds smoothing spline modelling capability to nlme. Fits smoothing spline terms in Gaussian linear and nonlinear mixed-effects models.
Author: Rod Ball [aut], Andrzej Galecki [cre]
Maintainer: Andrzej Galecki <agalecki@umich.edu>

Diff between lmeSplines versions 1.1-12 dated 2022-05-02 and 1.1.15 dated 2025-08-25

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Package guidedPLS updated to version 1.1.0 with previous version 1.0.0 dated 2023-05-11

Title: Supervised Dimensional Reduction by Guided Partial Least Squares
Description: Guided partial least squares (guided-PLS) is the combination of partial least squares by singular value decomposition (PLS-SVD) and guided principal component analysis (guided-PCA). This package provides implementations of PLS-SVD, guided-PLS, and guided-PCA for supervised dimensionality reduction. The guided-PCA function (new in v1.1.0) automatically handles mixed data types (continuous and categorical) in the supervision matrix and provides detailed contribution analysis for interpretability. For the details of the methods, see the reference section of GitHub README.md <https://github.com/rikenbit/guidedPLS>.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between guidedPLS versions 1.0.0 dated 2023-05-11 and 1.1.0 dated 2025-08-25

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Package extraSuperpower updated to version 1.5.4 with previous version 1.5.3 dated 2025-08-18

Title: Power Calculation for Two-Way Factorial Designs
Description: The basic use of this package is with 3 sequential functions. One to generate expected cell means and standard deviations, along with correlation and covariance matrices in the case of repeated measurements. This is followed by experiment simulation i number of times. Finally, power is calculated from the simulated data. Features that may be considered in the model are interaction, measure correlation and non-normal distributions.
Author: Louis Macias [aut, cre, cph] , Silke Szymczak [aut]
Maintainer: Louis Macias <louis.macias@uni-luebeck.de>

Diff between extraSuperpower versions 1.5.3 dated 2025-08-18 and 1.5.4 dated 2025-08-25

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Package BMIselect updated to version 1.0.3 with previous version 1.0.2 dated 2025-08-20

Title: Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets
Description: Provides a suite of Bayesian MI-LASSO for variable selection methods for multiply-imputed datasets. The package includes four Bayesian MI-LASSO models using shrinkage (Multi-Laplace, Horseshoe, ARD) and Spike-and-Slab (Spike-and-Laplace) priors, along with tools for model fitting via MCMC, four-step projection predictive variable selection, and hyperparameter calibration. Methods are suitable for both continuous and binary covariates under missing-at-random or missing-completely-at-random assumptions. See Zou, J., Wang, S. and Chen, Q. (2025), Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Data. ArXiv, 2211.00114. <doi:10.48550/arXiv.2211.00114> for more details. We also provide the frequentist`s MI-LASSO function.
Author: Jungang Zou [aut, cre], Sijian Wang [aut], Qixuan Chen [aut]
Maintainer: Jungang Zou <jungang.zou@gmail.com>

Diff between BMIselect versions 1.0.2 dated 2025-08-20 and 1.0.3 dated 2025-08-25

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Package vcfppR updated to version 0.8.1 with previous version 0.8.0 dated 2025-07-02

Title: Rapid Manipulation of the Variant Call Format (VCF)
Description: The 'vcfpp.h' (<https://github.com/Zilong-Li/vcfpp>) provides an easy-to-use 'C++' 'API' of 'htslib', offering full functionality for manipulating Variant Call Format (VCF) files. The 'vcfppR' package serves as the R bindings of the 'vcfpp.h' library, enabling rapid processing of both compressed and uncompressed VCF files. Explore a range of powerful features for efficient VCF data manipulation.
Author: Zilong Li [aut, cre] , Bonfield, James K and Marshall, John and Danecek, Petr and Li, Heng and Ohan, Valeriu and Whitwham, Andrew and Keane, Thomas and Davies, Robert M [cph]
Maintainer: Zilong Li <zilong.dk@gmail.com>

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Package vartest updated to version 1.3 with previous version 1.2 dated 2024-05-07

Title: Tests for Variance Homogeneity
Description: Performs 20 omnibus tests for testing the composite hypothesis of variance homogeneity.
Author: Gozde Cosar [aut], Merve Kasikci [aut], Osman Dag [aut, cre]
Maintainer: Osman Dag <osman.dag@outlook.com>

Diff between vartest versions 1.2 dated 2024-05-07 and 1.3 dated 2025-08-25

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Package shinydashboardPlus updated to version 2.0.6 with previous version 2.0.5 dated 2024-08-18

Title: Add More 'AdminLTE2' Components to 'shinydashboard'
Description: Extend 'shinydashboard' with 'AdminLTE2' components. 'AdminLTE2' is a free 'Bootstrap 3' dashboard template available at <https://adminlte.io>. Customize boxes, add timelines and a lot more.
Author: David Granjon [aut, cre], RinteRface [cph], Almasaeed Studio [ctb, cph] , Guang Yang [ctb, cph] , Winston Chang [ctb, cph] , Victor Perrier [ctb]
Maintainer: David Granjon <dgranjon@ymail.com>

Diff between shinydashboardPlus versions 2.0.5 dated 2024-08-18 and 2.0.6 dated 2025-08-25

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Package shapr updated to version 1.0.5 with previous version 1.0.4 dated 2025-04-28

Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements methods which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.
Author: Martin Jullum [cre, aut] , Lars Henry Berge Olsen [aut] , Annabelle Redelmeier [aut], Jon Lachmann [aut] , Nikolai Sellereite [aut] , Anders Loeland [ctb], Jens Christian Wahl [ctb], Camilla Lingjaerde [ctb], Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>

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Package nlmeU updated to version 0.71.6 with previous version 0.70-9 dated 2022-05-02

Title: Functions and Data Supporting 'Linear Mixed-Effects Models: A Step-by-Step Approach'
Description: Provides functions and datasets to support the book by Galecki and Burzykowski (2013), 'Linear Mixed-Effects Models: A Step-by-Step Approach', Springer. Includes functions for power calculations, log-likelihood contributions, and data simulation for linear mixed-effects models.
Author: Andrzej Galecki [aut, cre] , Tomasz Burzykowski [aut]
Maintainer: Andrzej Galecki <agalecki@umich.edu>

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Package grafify updated to version 5.1.0 with previous version 5.0.0.1 dated 2025-03-10

Title: Easy Graphs for Data Visualisation and Linear Models for ANOVA
Description: Easily explore data by plotting graphs with a few lines of code. Use these ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers, violins or SD error bars, data distributions, before-after graphs, factorial ANOVA and more. Customise graphs in many ways, for example, by choosing from colour blind-friendly palettes (12 discreet, 3 continuous and 2 divergent palettes). Use the simple code for ANOVA as ordinary (lm()) or mixed-effects linear models (lmer()), including randomised-block or repeated-measures designs, and fit non-linear outcomes as a generalised additive model (gam) using mgcv(). Obtain estimated marginal means and perform post-hoc comparisons on fitted models (via emmeans()). Also includes small datasets for practising code and teaching basics before users move on to more complex designs. See vignettes for details on usage <https://grafify.shenoylab.com/>. Citation: <doi:10.5281/zenodo.5136508>.
Author: Avinash R Shenoy [cre, aut]
Maintainer: Avinash R Shenoy <a.shenoy@imperial.ac.uk>

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Package fect updated to version 2.0.5 with previous version 1.0.0 dated 2022-10-14

Title: Fixed Effects Counterfactual Estimators
Description: Provides tools for estimating causal effects in panel data using counterfactual methods, as well as other modern DID estimators. It is designed for causal panel analysis with binary treatments under the parallel trends assumption. The package supports scenarios where treatments can switch on and off and allows for limited carryover effects. It includes several imputation estimators, such as Gsynth (Xu 2017), linear factor models, and the matrix completion method. Detailed methodology is described in Liu, Wang, and Xu (2024) <doi:10.48550/arXiv.2107.00856> and Chiu et al. (2025) <doi:10.48550/arXiv.2309.15983>. Optionally integrates with the "HonestDiDFEct" package for sensitivity analyses compatible with imputation estimators. "HonestDiDFEct" is not on CRAN but can be obtained from <https://github.com/lzy318/HonestDiDFEct>.
Author: Licheng Liu [aut], Ziyi Liu [aut], Ye Wang [aut], Yiqing Xu [aut, cre], Tianzhu Qin [aut], Shiyun Hu [aut], Rivka Lipkovitz [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package praatpicture updated to version 1.6.2 with previous version 1.5.0 dated 2025-07-11

Title: 'Praat Picture' Style Plots of Acoustic Data
Description: Quickly and easily generate plots of acoustic data aligned with transcriptions similar to those made in 'Praat' using either derived signals generated directly in R with 'wrassp' or imported derived signals from 'Praat'. Provides easy and fast out-of-the-box solutions but also a high extent of flexibility. Also provides options for embedding audio in figures and animating figures.
Author: Rasmus Puggaard-Rode [aut, cre, cph]
Maintainer: Rasmus Puggaard-Rode <r.puggaard@phonetik.uni-muenchen.de>

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Package plotROC updated to version 2.3.3 with previous version 2.3.1 dated 2023-10-06

Title: Generate Useful ROC Curve Charts for Print and Interactive Use
Description: Most ROC curve plots obscure the cutoff values and inhibit interpretation and comparison of multiple curves. This attempts to address those shortcomings by providing plotting and interactive tools. Functions are provided to generate an interactive ROC curve plot for web use, and print versions. A Shiny application implementing the functions is also included.
Author: Michael C. Sachs [aut, cre], Robert W. Corty [ctb], Luis Crouch [ctb]
Maintainer: Michael C. Sachs <sachsmc@gmail.com>

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Package gratia updated to version 0.11.1 with previous version 0.11.0 dated 2025-08-18

Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Author: Gavin L. Simpson [aut, cre, cph] , Henrik Singmann [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

Diff between gratia versions 0.11.0 dated 2025-08-18 and 0.11.1 dated 2025-08-25

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 NEWS.md                                                                                    |   45 
 R/conditional-values.R                                                                     |    7 
 R/derivatives.R                                                                            |   48 
 R/diagnose.R                                                                               |   79 
 R/distribution-helpers.R                                                                   |   17 
 R/family-utils.R                                                                           |    3 
 R/fix-family.R                                                                             |   87 
 R/residuals.R                                                                              |   10 
 R/utililties.R                                                                             |   38 
 man/appraise.Rd                                                                            |   13 
 man/theta.Rd                                                                               |    3 
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Package GaussSuppression updated to version 1.1.5 with previous version 1.1.0 dated 2025-06-26

Title: Tabular Data Suppression using Gaussian Elimination
Description: A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6>. A suggestion is to start by working with functions SuppressSmallCounts() and SuppressDominantCells(). These functions use primary suppression functions for the minimum frequency rule and the dominance rule, respectively. Novel functionality for suppression of disclosive cells is also included. General primary suppression functions can be supplied as input to the general working horse function, GaussSuppressionFromData(). Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Hege Boevelstad [ctb] , Vidar Norstein Klungre [rev] , Jonas Lindblad [ctb], Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package devRate updated to version 0.2.5 with previous version 0.2.4 dated 2023-08-24

Title: Quantify the Relationship Between Development Rate and Temperature in Ectotherms
Description: A set of functions to quantify the relationship between development rate and temperature and to build phenological models. The package comprises a set of models and estimated parameters borrowed from a literature review in ectotherms. The methods and literature review are described in Rebaudo et al. (2018) <doi:10.1111/2041-210X.12935>, Rebaudo and Rabhi (2018) <doi:10.1111/eea.12693>, and Regnier et al. (2021) <doi:10.1093/ee/nvab115>. An example can be found in Rebaudo et al. (2017) <doi:10.1007/s13355-017-0480-5>.
Author: Francois Rebaudo [aut, cre] , Baptiste Regnier [aut] , Camila Benavides [ctb] , Tanusson Selvarajah [ctb] , Nicolas Bonnal [ctb] , Badre Rabhi [ctb] , Quentin Struelens [ctb]
Maintainer: Francois Rebaudo <francois.rebaudo@ird.fr>

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Package bs4Dash updated to version 2.3.5 with previous version 2.3.4 dated 2024-09-03

Title: A 'Bootstrap 4' Version of 'shinydashboard'
Description: Make 'Bootstrap 4' Shiny dashboards. Use the full power of 'AdminLTE3', a dashboard template built on top of 'Bootstrap 4' <https://github.com/ColorlibHQ/AdminLTE>.
Author: David Granjon [aut, cre], RinteRface [cph], Almasaeed Studio [ctb, cph] , Winston Chang [ctb, cph]
Maintainer: David Granjon <dgranjon@ymail.com>

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Package states updated to version 0.3.3 with previous version 0.3.2 dated 2023-09-05

Title: Create Panels of Independent States
Description: Create panel data consisting of independent states from 1816 to the present. The package includes the Gleditsch & Ward (G&W) and Correlates of War (COW) lists of independent states, as well as helper functions for working with state panel data and standardizing other data sources to create country-year/month/etc. data.
Author: Andreas Beger [cre, aut]
Maintainer: Andreas Beger <adbeger@gmail.com>

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Package RcmdrPlugin.TeachStat updated to version 1.1.4 with previous version 1.1.3 dated 2023-11-14

Title: R Commander Plugin for Teaching Statistical Methods
Description: R Commander plugin for teaching statistical methods. It adds a new menu for making easier the teaching of the main concepts about the main statistical methods.
Author: Tomas R. Cotos Yanez [aut] , Manuel A. Mosquera Rodriguez [aut, cre] , Ana Perez Gonzalez [aut] , Benigno Reguengo Lareo [aut]
Maintainer: Manuel A. Mosquera Rodriguez <mamrguez@uvigo.es>

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Package data.tree updated to version 1.2.0 with previous version 1.1.0 dated 2023-11-12

Title: General Purpose Hierarchical Data Structure
Description: Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.
Author: Russ Hyde [ctb] , Chris Hammill [ctb] , Facundo Munoz [ctb] , Markus Wamser [ctb] , Pierre Formont [ctb] , Kent Russel [ctb] , Noam Ross [ctb] , Duncan Garmonsway [ctb] , Christoph Glur [aut, cre]
Maintainer: Christoph Glur <christoph.glur@powerpartners.pro>

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Package CRediTas updated to version 0.3.0 with previous version 0.2.0 dated 2023-04-13

Title: Generate CRediT Author Statements
Description: A tiny package to generate CRediT author statements (<https://credit.niso.org/>). It provides three functions: create a template, read it back and generate the CRediT author statement in a text file.
Author: Josep Pueyo-Ros [aut, cre] , Marcelo S. Perlin [rev] , Joao Martins [rev]
Maintainer: Josep Pueyo-Ros <josep.pueyo@udg.edu>

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Package dsBase (with last version 6.3.3) was removed from CRAN

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

2025-07-19 6.3.3

Permanent link
Package TreatmentPatterns updated to version 3.1.1 with previous version 3.1.0 dated 2025-06-03

Title: Analyzes Real-World Treatment Patterns of a Study Population of Interest
Description: Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.
Author: Aniek Markus [aut] , Maarten van Kessel [cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>

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Package tidyprompt updated to version 0.2.0 with previous version 0.1.0 dated 2025-08-18

Title: Prompt Large Language Models and Enhance Their Functionality
Description: Easily construct prompts and associated logic for interacting with large language models (LLMs). 'tidyprompt' introduces the concept of prompt wraps, which are building blocks that you can use to quickly turn a simple prompt into a complex one. Prompt wraps do not just modify the prompt text, but also add extraction and validation functions that will be applied to the response of the LLM. This ensures that the user gets the desired output. 'tidyprompt' can add various features to prompts and their evaluation by LLMs, such as structured output, automatic feedback, retries, reasoning modes, autonomous R function calling, and R code generation and evaluation. It is designed to be compatible with any LLM provider that offers chat completion.
Author: Luka Koning [aut, cre, cph], Tjark Van de Merwe [aut, cph], Kennispunt Twente [fnd]
Maintainer: Luka Koning <l.koning@kennispunttwente.nl>

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Package tEDM updated to version 1.1 with previous version 1.0 dated 2025-07-15

Title: Temporal Empirical Dynamic Modeling
Description: Inferring causation from time series data through empirical dynamic modeling (EDM), with methods such as convergent cross mapping from Sugihara et al. (2012) <doi:10.1126/science.1227079>, partial cross mapping as outlined in Leng et al. (2020) <doi:10.1038/s41467-020-16238-0>, and cross mapping cardinality as described in Tao et al. (2023) <doi:10.1016/j.fmre.2023.01.007>.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package patchwork updated to version 1.3.2 with previous version 1.3.1 dated 2025-06-21

Title: The Composer of Plots
Description: The 'ggplot2' package provides a strong API for sequentially building up a plot, but does not concern itself with composition of multiple plots. 'patchwork' is a package that expands the API to allow for arbitrarily complex composition of plots by, among others, providing mathematical operators for combining multiple plots. Other packages that try to address this need (but with a different approach) are 'gridExtra' and 'cowplot'.
Author: Thomas Lin Pedersen [cre, aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between patchwork versions 1.3.1 dated 2025-06-21 and 1.3.2 dated 2025-08-25

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Package GPareto updated to version 1.1.9 with previous version 1.1.8 dated 2024-01-26

Title: Gaussian Processes for Pareto Front Estimation and Optimization
Description: Gaussian process regression models, a.k.a. Kriging models, are applied to global multi-objective optimization of black-box functions. Multi-objective Expected Improvement and Step-wise Uncertainty Reduction sequential infill criteria are available. A quantification of uncertainty on Pareto fronts is provided using conditional simulations.
Author: Mickael Binois [aut, cre] , Victor Picheny [aut]
Maintainer: Mickael Binois <mickael.binois@inria.fr>

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New package covercorr with initial version 1.0.0
Package: covercorr
Title: Coverage Correlation Coefficient and Testing for Independence
Version: 1.0.0
Maintainer: Tengyao Wang <t.wang59@lse.ac.uk>
Description: Computes the coverage correlation coefficient introduced in <doi:10.48550/arXiv.2508.06402> , a statistical measure that quantifies dependence between two random vectors by computing the union volume of data-centered hypercubes in a uniform space.
License: GPL-3
Imports: transport
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-08-20 10:54:40 UTC; monaazadkia
Author: Tengyao Wang [aut, cre], Mona Azadkia [aut, ctb], Xuzhi Yang [aut, ctb]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-08-25 09:50:15 UTC

More information about covercorr at CRAN
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Package AzureStor updated to version 3.7.1 with previous version 3.7.0 dated 2022-05-25

Title: Storage Management in 'Azure'
Description: Manage storage in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/en-us/products/category/storage/>. On the admin side, 'AzureStor' includes features to create, modify and delete storage accounts. On the client side, it includes an interface to blob storage, file storage, and 'Azure Data Lake Storage Gen2': upload and download files and blobs; list containers and files/blobs; create containers; and so on. Authenticated access to storage is supported, via either a shared access key or a shared access signature (SAS). Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package TreeDist updated to version 2.10.1 with previous version 2.10.0 dated 2025-08-22

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for identifying islands of trees (Silva and Wilkinson 2021) <doi:10.1093/sysbio/syab015>, for calculating the median [...truncated...]
Author: Martin R. Smith [aut, cre, cph, prg] , Roy Jonker [prg, cph], Yong Yang [ctb, cph], Yi Cao [ctb, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package scoringutils updated to version 2.1.2 with previous version 2.1.1 dated 2025-06-25

Title: Utilities for Scoring and Assessing Predictions
Description: Facilitate the evaluation of forecasts in a convenient framework based on data.table. It allows user to to check their forecasts and diagnose issues, to visualise forecasts and missing data, to transform data before scoring, to handle missing forecasts, to aggregate scores, and to visualise the results of the evaluation. The package mostly focuses on the evaluation of probabilistic forecasts and allows evaluating several different forecast types and input formats. Find more information about the package in the Vignettes as well as in the accompanying paper, <doi:10.48550/arXiv.2205.07090>.
Author: Nikos Bosse [aut, cre] , Sam Abbott [aut] , Hugo Gruson [aut] , Johannes Bracher [ctb] , Toshiaki Asakura [ctb] , James Mba Azam [ctb] , Sebastian Funk [aut], Michael Chirico [ctb]
Maintainer: Nikos Bosse <nikosbosse@gmail.com>

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Package nser readmission to version 1.5.6 with previous version 1.5.3 dated 2024-07-26

Title: Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India
Description: Download Current & Historical Bhavcopy. Get Live Market data from NSE India of Equities and Derivatives (F&O) segment. Data source <https://www.nseindia.com/>.
Author: Nandan Patil [cre, aut]
Maintainer: Nandan Patil <tryanother609@gmail.com>

This is a re-admission after prior archival of version 1.5.3 dated 2024-07-26

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Package misha updated to version 4.3.11 with previous version 4.3.6 dated 2025-03-06

Title: Toolkit for Analysis of Genomic Data
Description: A toolkit for analysis of genomic data. The 'misha' package implements an efficient data structure for storing genomic data, and provides a set of functions for data extraction, manipulation and analysis. Some of the 2D genome algorithms were described in Yaffe and Tanay (2011) <doi:10.1038/ng.947>.
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Eitan Yaffe [aut], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

Diff between misha versions 4.3.6 dated 2025-03-06 and 4.3.11 dated 2025-08-25

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More information about misha at CRAN
Permanent link

Package meteoForecast updated to version 0.57 with previous version 0.56 dated 2023-03-08

Title: Numerical Weather Predictions
Description: Access to several Numerical Weather Prediction services both in raster format and as a time series for a location. Currently it works with GFS <https://www.ncei.noaa.gov/products/weather-climate-models/global-forecast>, MeteoGalicia <https://www.meteogalicia.gal/web/modelos/threddsIndex.action>, NAM <https://www.ncei.noaa.gov/products/weather-climate-models/north-american-mesoscale>, and RAP <https://www.ncei.noaa.gov/products/weather-climate-models/rapid-refresh-update>.
Author: Oscar Perpinan Lamigueiro [cre, aut], Marcelo Pinho Almeida [ctb]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@upm.es>

Diff between meteoForecast versions 0.56 dated 2023-03-08 and 0.57 dated 2025-08-25

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Package lgrExtra updated to version 0.2.1 with previous version 0.2.0 dated 2025-07-23

Title: Extra Appenders for 'lgr'
Description: Additional appenders for the logging package 'lgr' that support logging to 'Elasticsearch', 'Dynatrace', 'AWSCloudWatchLog', databases, 'syslog', email- and push notifications, and more.
Author: Stefan Fleck [aut, cre] , Jimmy Briggs [ctb, rev]
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

Diff between lgrExtra versions 0.2.0 dated 2025-07-23 and 0.2.1 dated 2025-08-25

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Package lgcp updated to version 2.0-1 with previous version 2.0 dated 2023-10-03

Title: Log-Gaussian Cox Process
Description: Spatial and spatio-temporal modelling of point patterns using the log-Gaussian Cox process. Bayesian inference for spatial, spatiotemporal, multivariate and aggregated point processes using Markov chain Monte Carlo. See Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle (2015) <doi:10.18637/jss.v063.i07>.
Author: Benjamin M. Taylor [aut, cre], Tilman M. Davies [aut], Barry S. Rowlingson [aut], Peter J. Diggle [aut], Edzer Pebesma [ctb], Dominic Schumacher. [ctb]
Maintainer: Benjamin M. Taylor <benjamin.taylor.software@gmail.com>

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Package gppm readmission to version 0.3.0 with previous version 0.2.0 dated 2018-07-05

Title: Gaussian Process Panel Modeling
Description: Provides an implementation of Gaussian process panel modeling (GPPM). GPPM is described in Karch, Brandmaier & Voelkle (2020; <DOI:10.3389/fpsyg.2020.00351>) and Karch (2016; <DOI:10.18452/17641>). Essentially, GPPM is Gaussian process based modeling of longitudinal panel data. 'gppm' also supports regular Gaussian process regression (with a focus on flexible model specification), and multi-task learning.
Author: Julian D. Karch [aut, cre, cph]
Maintainer: Julian D. Karch <j.d.karch@fsw.leidenuniv.nl>

This is a re-admission after prior archival of version 0.2.0 dated 2018-07-05

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New package ffaframework with initial version 0.1.0
Package: ffaframework
Title: Flood Frequency Analysis Framework
Description: Tools to support systematic and reproducible workflows for both stationary and nonstationary flood frequency analysis, with applications extending to other hydroclimate extremes, such as precipitation frequency analysis. This package implements the FFA framework proposed by Vidrio- Sahagún et al. (2024) <doi:10.1016/j.envsoft.2024.105940>, originally developed in MATLAB, now adapted for the R environment. This work was funded by the Flood Hazard Identification and Mapping Program of Environment and Climate Change Canada, as well as the Canada Research Chair (Tier 1) awarded to Dr. Pietroniro.
Version: 0.1.0
URL: https://rileywheadon.github.io/ffa-framework/
BugReports: https://github.com/rileywheadon/ffa-framework/issues
License: AGPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4.0)
Imports: ggplot2, patchwork, httr, stats, glue, jsonlite, base64enc
Suggests: knitr, rmarkdown, spelling, testthat, vdiffr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-08-20 01:37:46 UTC; rileywheadon
Author: Riley Wheadon [aut, cre], Cuauhtemoc Vidrio-Sahagun [aut], Alain Pietroniro [aut, fnd], Jianxun He [aut], Environment and Climate Change Canada [fnd]
Maintainer: Riley Wheadon <rileywheadon@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-25 08:20:02 UTC

More information about ffaframework at CRAN
Permanent link

Package Ecfun updated to version 0.4.0 with previous version 0.3-6 dated 2024-11-12

Title: Functions for 'Ecdat'
Description: Functions and vignettes to update data sets in 'Ecdat' and to create, manipulate, plot, and analyze those and similar data sets.
Author: Spencer Graves [aut, cre]
Maintainer: Spencer Graves <spencer.graves@effectivedefense.org>

Diff between Ecfun versions 0.3-6 dated 2024-11-12 and 0.4.0 dated 2025-08-25

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Package bbk updated to version 0.7.0 with previous version 0.6.0 dated 2025-02-02

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from major central bank APIs. It supports access to the 'Bundesbank SDMX Web Service API' (<https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>), the 'Swiss National Bank Data Portal' (<https://data.snb.ch/en>), the 'European Central Bank Data Portal API' (<https://data.ecb.europa.eu/help/api/overview>), the 'Bank of England Interactive Statistical Database' (<https://www.bankofengland.co.uk/boeapps/database>), the 'Banco de España API' (<https://www.bde.es/webbe/en/estadisticas/recursos/api-estadisticas-bde.html>), and the 'Banque de France Web Service' (<https://webstat.banque-france.fr/en/pages/guide-migration-api/>).
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between bbk versions 0.6.0 dated 2025-02-02 and 0.7.0 dated 2025-08-25

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Package rhymer (with last version 1.2.2) was removed from CRAN

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2025-05-22 1.2.2
2023-01-05 1.2.0
2020-08-14 1.1.0
2017-12-19 1.0.0

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2024-02-26 1.2.1
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2022-01-12 1.1-0
2021-09-15 1.0.2

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2024-02-22 0.4.1
2021-07-06 0.2.1
2019-09-22 0.1.0
2019-09-19 0.0.1

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New package tma with initial version 0.3.0
Package: tma
Title: Transmodal Analysis (TMA)
Author: Cody L Marquart [aut, cre] , Muhammad Hasnat Ashiq [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>
Version: 0.3.0
Encoding: UTF-8
Description: A robust computational framework for analyzing complex multimodal data. Extends existing state-dependent models to account for diverse data streams, addressing challenges such as varying temporal scales and learner characteristics to improve the robustness and interpretability of findings. For methodological details, see Shaffer, Wang, and Ruis (2025) "Transmodal Analysis" <doi:10.18608/jla.2025.8423>.
LazyData: TRUE
Depends: R (>= 3.6), data.table
License: GPL-3
Imports: stats, methods, rlang, jsonlite, Rcpp
Suggests: testthat (>= 2.1.0), rstudioapi, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-08-19 18:41:41 UTC; clmarquart
Repository: CRAN
Date/Publication: 2025-08-25 08:00:02 UTC

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New package tailor with initial version 0.1.0
Package: tailor
Title: Iterative Steps for Postprocessing Model Predictions
Version: 0.1.0
Description: Postprocessors refine predictions outputted from machine learning models to improve predictive performance or better satisfy distributional limitations. This package introduces 'tailor' objects, which compose iterative adjustments to model predictions. A number of pre-written adjustments are provided with the package, such as calibration. See Lichtenstein, Fischhoff, and Phillips (1977) <doi:10.1007/978-94-010-1276-8_19>. Other methods and utilities to compose new adjustments are also included. Tailors are tightly integrated with the 'tidymodels' framework.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/tailor, https://tailor.tidymodels.org
BugReports: https://github.com/tidymodels/tailor/issues
Depends: R (>= 4.1)
Imports: cli, dplyr, generics, hardhat, purrr, rlang (>= 1.1.0), tibble, tidyselect, vctrs
Suggests: betacal, dials (>= 1.4.1), mgcv, modeldata, probably (>= 1.1.0), testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-19 17:16:06 UTC; max
Author: Simon Couch [aut], Hannah Frick [aut], Emil HvitFeldt [aut], Max Kuhn [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Repository: CRAN
Date/Publication: 2025-08-25 07:50:03 UTC

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Package lmomPi updated to version 0.6.7 with previous version 0.6.6 dated 2023-08-15

Title: (Precipitation) Frequency Analysis and Variability with L-Moments from 'lmom'
Description: It is an extension of 'lmom' R package: 'pel...()','cdf...()',qua...()' function families are lumped and called from one function per each family respectively in order to create robust automatic tools to fit data with different probability distributions and then to estimate probability values and return periods. The implemented functions are able to manage time series with constant and/or missing values without stopping the execution with error messages. The package also contains tools to calculate several indices based on variability (e.g. 'SPI' , Standardized Precipitation Index, see <https://climatedataguide.ucar.edu/climate-data/standardized-precipitation-index-spi> and <http://spei.csic.es/>) for multiple time series or spatially gridded values.
Author: Emanuele Cordano [aut, cre]
Maintainer: Emanuele Cordano <emanuele.cordano@gmail.com>

Diff between lmomPi versions 0.6.6 dated 2023-08-15 and 0.6.7 dated 2025-08-25

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New package degradr with initial version 1.0.0
Package: degradr
Title: Estimating Remaining Useful Life with Linear Mixed Effects Models
Description: Provides tools for estimating the Remaining Useful Life (RUL) of degrading systems using linear mixed-effects models and creating a health index. It supports both univariate and multivariate degradation signals. For multivariate inputs, the signals are merged into a univariate health index prior to modeling. Linear and exponential degradation trajectories are supported (the latter using a log transformation). Remaining Useful Life (RUL) distributions are estimated using Bayesian updating for new units, enabling on-site predictive maintenance. Based on the methodology of Liu and Huang (2016) <doi:10.1109/TASE.2014.2349733>.
Version: 1.0.0
License: GPL-3
Encoding: UTF-8
Imports: dplyr, nlme, quadprog, ggplot2
Maintainer: Pedro Abraham Montoya Calzada <pedroabraham.montoya@gmail.com>
Depends: R (>= 4.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-19 07:44:02 UTC; Abraham
Author: Pedro Abraham Montoya Calzada [aut, cre, cph] , Rogelio Salinas Gutierrez [aut, cph] , Silvia Rodriguez-Narciso [aut, cph] , Netzahualcoyotl Castaneda-Leyva [aut, cph]
Repository: CRAN
Date/Publication: 2025-08-25 08:00:08 UTC

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Package goat (with last version 1.1.2) was removed from CRAN

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2025-02-22 1.1.2
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Package DSMolgenisArmadillo (with last version 3.0.0) was removed from CRAN

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2025-07-24 3.0.0
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2023-10-30 2.0.5
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2022-03-25 1.4.1
2021-10-25 1.4.0
2021-10-14 1.3.7
2021-10-12 1.3.6
2021-03-20 1.3.5
2020-11-18 1.3.4

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Package rlibkriging (with last version 0.9-2.1) was removed from CRAN

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Package pema (with last version 0.1.4) was removed from CRAN

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2025-03-30 0.1.4
2023-03-16 0.1.3
2022-07-17 0.1.2
2022-04-25 0.1.1
2021-12-15 0.1.0

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2021-06-29 0.1.1
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2024-11-26 1.2.0
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Package comparer (with last version 0.2.4) was removed from CRAN

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2024-10-02 0.2.4

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2025-07-15 1.2.0
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Package sgapi (with last version 1.1.0) was removed from CRAN

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2025-07-07 1.0.0

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2024-03-17 0.3.1

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2025-07-24 2.3.6
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2024-06-17 2.3.3
2022-10-12 2.3.2
2022-06-30 2.3.1
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2021-09-02 2.2.1
2021-08-18 2.2.0
2021-05-13 2.1.0
2021-04-25 2.0.2

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Package weatherOz (with last version 2.0.1) was removed from CRAN

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2024-11-29 2.3.2
2024-04-17 2.3.1
2024-01-22 2.3.0
2023-10-24 2.2.0
2023-05-24 2.1.0
2022-11-18 2.0.3

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2025-07-17 1.0-0
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Package openxlsx2 updated to version 1.19 with previous version 1.18 dated 2025-07-29

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package rTensor updated to version 1.4.9 with previous version 1.4.8 dated 2021-05-15

Title: Tools for Tensor Analysis and Decomposition
Description: A set of tools for creation, manipulation, and modeling of tensors with arbitrary number of modes. A tensor in the context of data analysis is a multidimensional array. rTensor does this by providing a S4 class 'Tensor' that wraps around the base 'array' class. rTensor provides common tensor operations as methods, including matrix unfolding, summing/averaging across modes, calculating the Frobenius norm, and taking the inner product between two tensors. Familiar array operations are overloaded, such as index subsetting via '[' and element-wise operations. rTensor also implements various tensor decomposition, including CP, GLRAM, MPCA, PVD, and Tucker. For tensors with 3 modes, rTensor also implements transpose, t-product, and t-SVD, as defined in Kilmer et al. (2013). Some auxiliary functions include the Khatri-Rao product, Kronecker product, and the Hadamard product for a list of matrices.
Author: James Li [aut], Jacob Bien [aut], Martin Wells [aut], Koki Tsuyuzaki [cre, ctb]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

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Package modelsummary updated to version 2.5.0 with previous version 2.4.0 dated 2025-06-08

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package ccTensor updated to version 1.0.3 with previous version 1.0.2 dated 2021-08-12

Title: CUR/CX Tensor Decomposition
Description: CUR/CX decomposition factorizes a matrix into two factor matrices and Multidimensional CX Decomposition factorizes a tensor into a core tensor and some factor matrices. See the reference section of GitHub README.md <https://github.com/rikenbit/ccTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre], Itoshi Nikaido [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

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Package autoslider.core updated to version 0.2.8 with previous version 0.2.7 dated 2025-07-25

Title: Slide Automation for Tables, Listings and Figures
Description: The normal process of creating clinical study slides is that a statistician manually type in the numbers from outputs and a separate statistician to double check the typed in numbers. This process is time consuming, resource intensive, and error prone. Automatic slide generation is a solution to address these issues. It reduces the amount of work and the required time when creating slides, and reduces the risk of errors from manually typing or copying numbers from the output to slides. It also helps users to avoid unnecessary stress when creating large amounts of slide decks in a short time window.
Author: Joe Zhu [cre, aut] , Heng Wang [aut], Yinqi Zhao [aut], Bo Ci [aut], Liming Li [aut], Laura Wang [ctb], Xiaoli Duan [aut], Stefan Pascal Thoma [aut], Thomas Neitmann [ctb], Miles Almond [aut], Mahdi About [ctb], Kai Lim [ctb], Nolan Steed [ctb], Daol [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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