Thu, 19 Feb 2026

New package PsyToolkit with initial version 1.1.0
Package: PsyToolkit
Version: 1.1.0
Title: Analysis Tools for 'PsyToolkit'
Description: Analyses and reports 'PsyToolkit' questionnaire and experiment data. See Stoet (2017) <doi:10.1177/0098628316677643>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: openxlsx2
NeedsCompilation: no
Packaged: 2026-02-16 13:24:26 UTC; stoet
Author: Gijsbert Stoet [cre, aut]
Maintainer: Gijsbert Stoet <g.stoet@essex.ac.uk>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-02-19 20:10:02 UTC

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New package ecoTolerance with initial version 0.1.0
Package: ecoTolerance
Title: Ecological Tolerance Indices
Version: 0.1.0
Description: Computes the Road Tolerance Index (RTI) and the Human Footprint Tolerance Index (HFTI) for species occurrence data. It automates data cleaning and integrates spatial data (roads and human footprint) to produce reproducible tolerance metrics for biodiversity and conservation research. The HFTI calculation is based on the global human footprint dataset by Mu et al. (2022) <doi:10.1038/s41597-022-01284-8>. This package is part of a PhD thesis focused on amphibian ecology in Brazil.
License: GPL (>= 3)
Encoding: UTF-8
Imports: sf, raster, dplyr, stats, ggplot2, magrittr, methods
Suggests: terra, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-17 00:16:38 UTC; Diego
Author: Diego F. Miranda [aut, cre], Lucas R. Forti [aut]
Maintainer: Diego F. Miranda <dfernandes115@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-19 20:40:02 UTC

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New package eclipseplot with initial version 0.9.4
Package: eclipseplot
Title: Graphical Visualizations for ROBUST-RCT Risk of Bias Assessments
Version: 0.9.4
Description: Provides visual representations of risk-of-bias assessments using the ROBUST-RCT framework, as described in Wang et al. (2025) <doi:10.1136/bmj-2024-081199>. The graphical visualization displays both factual evaluation (Step 1) and judgment (Step 2).
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/pevid-sci/eclipseplot
BugReports: https://github.com/pevid-sci/eclipseplot/issues
Imports: ggplot2, dplyr, ggforce, cowplot, magrittr, tidyr, readxl
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-16 20:43:28 UTC; home
Author: Pedro Rodrigues Vidor [aut, cre], Yohan Casiraghi [ctb], Sofia Simoni Rossi Fermo [ctb], Adolfo Moraes de Souza [ctb], Patricia Klarmann Ziegelmann [ctb], Maria Ines Schmidt [ctb], Maicon Falavigna [ctb]
Maintainer: Pedro Rodrigues Vidor <pedro.vidor@ufrgs.br>
Repository: CRAN
Date/Publication: 2026-02-19 20:20:02 UTC

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New package birddog with initial version 1.0.0
Package: birddog
Title: Sniffing Emergence and Trajectories in Academic Papers and Patents
Version: 1.0.0
Description: Provides a unified set of methods to detect scientific emergence and technological trajectories in academic papers and patents. The package combines citation network analysis with community detection and attribute extraction, also applying natural language processing (NLP) and structural topic modeling (STM) to uncover the contents of research communities. It implements metrics and visualizations of community trajectories, including novelty indicators, citation cycle time, and main path analysis, allowing researchers to map and interpret the dynamics of emerging knowledge fields. Applications of the method include: Souza et al. (2022) <doi:10.1002/bbb.2441>, Souza et al. (2022) <doi:10.14211/ibjesb.e1742>, Matos et al. (2023) <doi:10.1007/s43938-023-00036-3>, Maria et al. (2023) <doi:10.3390/su15020967>, Biazatti et al. (2024) <doi:10.1016/j.envdev.2024.101074>, Felizardo et al. (2025) <doi:10.1007/s12649-025-03136-z>, and Miranda et al. (2025) <d [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggraph, ggplot2, plotly, igraph, tidygraph, tidyr, tibble, Matrix, purrr, readr, rlang, glue, openalexR, RColorBrewer, scales, stringr
Suggests: cli, ggHoriPlot, ggrepel, ggthemes, janitor, gt, testthat (>= 3.0.0), viridis, zoo, stm, tidytext, udpipe
Depends: R (>= 4.1.0)
URL: http://roneyfraga.com/birddog/, https://github.com/roneyfraga/birddog
BugReports: https://github.com/roneyfraga/birddog/issues
NeedsCompilation: no
Packaged: 2026-02-16 18:49:30 UTC; roney
Author: Roney Fraga Souza [aut, cre, cph] , Luis Felipe de Souza Rodrigues [ctb]
Maintainer: Roney Fraga Souza <roneyfraga@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-19 20:20:06 UTC

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New package bidser with initial version 0.2.0
Package: bidser
Version: 0.2.0
Title: Work with 'BIDS' (Brain Imaging Data Structure) Projects
Description: Tools for working with 'BIDS' (Brain Imaging Data Structure) formatted neuroimaging datasets. The package provides functionality for reading and querying 'BIDS'-compliant projects, creating mock 'BIDS' datasets for testing, and extracting preprocessed data from 'fMRIPrep' derivatives. It supports searching and filtering 'BIDS' files by various entities such as subject, session, task, and run to streamline neuroimaging data workflows. See Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44> for the 'BIDS' specification.
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
Imports: stringr, data.tree, neuroim2, tidyselect, dplyr, assertthat, crayon, fs, jsonlite, magrittr, purrr, readr, rlang, stringdist, tibble, tidyr, httr, rio
Suggests: ggplot2, plotly, patchwork, viridis, scales, knitr, rmarkdown, testthat, covr, lintr, gluedown, RNifti, future, future.apply
VignetteBuilder: knitr
URL: https://github.com/bbuchsbaum/bidser, https://bbuchsbaum.github.io/bidser/
BugReports: https://github.com/bbuchsbaum/bidser/issues
NeedsCompilation: no
Packaged: 2026-02-16 18:03:29 UTC; bbuchsbaum
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-19 20:20:12 UTC

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New package poLCAParallel with initial version 1.2.6
Package: poLCAParallel
Title: Polytomous Variable Latent Class Analysis Parallel
Version: 1.2.6
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 1.0.7), scatterplot3d, MASS, parallel, poLCA
LinkingTo: Rcpp, RcppArmadillo (>= 0.12.4.1.0)
Description: A 'C++' reimplementation of 'poLCA' - latent class analysis and latent class regression models for polytomous outcome variables, also known as latent structure analysis. It attempts to reproduce results and be as similar as possible to the original code, while running faster, especially with multiple repetitions, by utilising multiple threads. Further reading is available on the Queen Mary, University of London, IT Services Research blog <https://blog.hpc.qmul.ac.uk/speeding_up_r_packages/>.
License: GPL-2
URL: https://github.com/QMUL/poLCAParallel
LazyLoad: yes
NeedsCompilation: yes
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), roxygen2, usethis
Packaged: 2026-02-16 13:48:46 UTC; ubuntu
Author: Sherman Lo [aut, cre], Drew Linzer [aut], Jeffrey Lewis. [aut]
Maintainer: Sherman Lo <s.lo@qmul.ac.uk>
Repository: CRAN
Date/Publication: 2026-02-19 20:00:02 UTC

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New package moewishart with initial version 1.0
Package: moewishart
Title: Mixture-of-Experts Wishart Models for Covariance Data
Version: 1.0
Description: Methods for maximum likelihood and Bayesian estimation for the Wishart mixture model and the mixture-of-experts Wishart (MoE-Wishart) model. The package provides four inference algorithms for these models, each implemented using the expectation–maximization (EM) algorithm for maximum likelihood estimation and a fully Bayesian approach via Gibbs-within-Metropolis–Hastings sampling.
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
URL: https://github.com/zhizuio/moewishart
BugReports: https://github.com/zhizuio/moewishart/issues
License: GPL-3
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: utils, stats, loo
Suggests: rmarkdown, knitr
NeedsCompilation: no
Packaged: 2026-02-16 10:10:46 UTC; zhiz
Author: The Tien Mai [aut], Zhi Zhao [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-19 19:50:02 UTC

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New package FIRM with initial version 0.1.2
Package: FIRM
Title: Flexible Integration of Single-Cell RNA-Seq Data
Version: 0.1.2
Maintainer: Jingsi Ming <jsming@fem.ecnu.edu.cn>
Description: Provides functions for the flexible integration of heterogeneous scRNA-seq datasets across multiple tissue types, platforms, and experimental batches. Implements the method described in Ming (2022) <doi:10.1093/bib/bbac167>. The package incorporates modified 'C++' source code from the 'flashpca' library (Abraham, 2014-2016 <https://github.com/gabraham/flashpca>) for efficient principal component analysis, and the 'Spectra' library (Qiu, 2016-2025) for large-scale eigenvalue and singular value decomposition; see 'inst/COPYRIGHTS' for details on third-party code.
URL: https://github.com/mingjingsi/FIRM
BugReports: https://github.com/mingjingsi/FIRM/issues
License: GPL-3
Encoding: UTF-8
Copyright: See file 'inst/COPYRIGHTS' for details.
LazyData: true
LazyDataCompression: bzip2
Imports: Seurat (>= 5.0.0), RANN
Suggests: ggplot2
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
NeedsCompilation: yes
Depends: R (>= 3.5.0)
Packaged: 2026-02-16 03:46:03 UTC; dszspur
Author: Jingsi Ming [aut, cre, cph] , Shuzhen Ding [ctb] , Gad Abraham [ctb, cph] , Yixuan Qiu [ctb, cph] , Anna Araslanova [ctb, cph] , Felipe Zapata [ctb, cph] ), Nicolas Renaud [ctb, cph] ), Jens Wehner [ctb, cph] ), Gael Guennebaud [ctb, cph] , Jitse Nie [...truncated...]
Repository: CRAN
Date/Publication: 2026-02-19 19:40:02 UTC

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New package ervissexplore with initial version 0.1.0
Package: ervissexplore
Title: Retrieve and Explore ERVISS Respiratory Virus Surveillance Data
Version: 0.1.0
Description: Provides easy access to ERVISS (European Respiratory Virus Surveillance Summary) data from the EU-ECDC <https://github.com/EU-ECDC/Respiratory_viruses_weekly_data>. Enables retrieval, filtering, and optional visualization of data across European countries. Data is fetched directly from the EU-ECDC Respiratory Viruses Weekly Data repository, with support for both latest data and historical snapshots for reproducible analyses.
License: MIT + file LICENSE
URL: https://github.com/Epiconcept-Paris/ervissexplore, https://epiconcept-paris.github.io/ervissexplore/
BugReports: https://github.com/Epiconcept-Paris/ervissexplore/issues
Encoding: UTF-8
Imports: cli, data.table, ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-16 08:58:47 UTC; Yohann Mansiaux
Author: Yohann Mansiaux [aut, cre]
Maintainer: Yohann Mansiaux <y.mansiaux@epiconcept.fr>
Repository: CRAN
Date/Publication: 2026-02-19 19:50:08 UTC

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Package DiscreteDists updated to version 1.1.2 with previous version 1.1.1 dated 2025-09-18

Title: Discrete Statistical Distributions
Description: Implementation of new discrete statistical distributions. Each distribution includes the traditional functions as well as an additional function called the family function, which can be used to estimate parameters within the 'gamlss' framework.
Author: Freddy Hernandez-Barajas [aut, cre] , Fernando Marmolejo-Ramos [aut] , Olga Usuga-Manco [aut] , Jamiu Olumoh [aut] , Osho Ajayi [aut]
Maintainer: Freddy Hernandez-Barajas <fhernanb@unal.edu.co>

Diff between DiscreteDists versions 1.1.1 dated 2025-09-18 and 1.1.2 dated 2026-02-19

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New package ctoclient with initial version 0.0.1
Package: ctoclient
Title: A Modern and Flexible Data Pipeline for 'SurveyCTO'
Version: 0.0.1
Date: 2026-02-16
Description: A modern and flexible R client for the 'SurveyCTO', a mobile and offline data collection platform, providing a modern and consistent interface for programmatic access to server resources. Built on top of the 'httr2' package, it enables secure and efficient data retrieval and returns analysis-ready data through optional tidying. It includes functions to create, upload, and download server datasets, in addition to fetching form data, files, and submission attachments. Robust authentication and request handling make the package suitable for automated survey monitoring and downstream analysis.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
Imports: checkmate, cli, dplyr, httr2, purrr, readr, readxl, rlang, stringr, tidyr
Suggests: curl, httptest2, jsonlite, testthat (>= 3.0.0)
URL: https://guturago.github.io/ctoclient/, https://github.com/guturago/ctoclient/
BugReports: https://github.com/guturago/ctoclient/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-16 07:40:26 UTC; Gute
Author: Gutama Girja Urago [aut, cre, cph]
Maintainer: Gutama Girja Urago <girjagutama@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-19 19:50:13 UTC

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New package crossfit with initial version 0.1.1
Package: crossfit
Title: Cross-Fitting Engine for Double/Debiased Machine Learning
Version: 0.1.1
Description: Provides a general cross-fitting engine for double / debiased machine learning and other meta-learners. The core functions implement flexible graphs of nuisance models with per-node training fold widths, target-specific evaluation windows, and several fold allocation schemes ("independence", "overlap", "disjoint"). The engine supports both numeric estimators (mode = "estimate") and cross-fitted prediction functions (mode = "predict"), with configurable aggregation over panels and repetitions.
License: GPL-3
URL: https://github.com/EtiennePeyrot/crossfit-R
BugReports: https://github.com/EtiennePeyrot/crossfit-R/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-16 15:52:07 UTC; skoua
Author: Etienne Peyrot [aut, cre]
Maintainer: Etienne Peyrot <etienne.peyrot@inserm.fr>
Repository: CRAN
Date/Publication: 2026-02-19 20:00:08 UTC

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Package readr updated to version 2.2.0 with previous version 2.1.6 dated 2025-11-14

Title: Read Rectangular Text Data
Description: The goal of 'readr' is to provide a fast and friendly way to read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes.
Author: Hadley Wickham [aut], Jim Hester [aut], Romain Francois [ctb], Jennifer Bryan [aut, cre] , Shelby Bearrows [ctb], Posit Software, PBC [cph, fnd] , https://github.com/mandreyel/ [cph] , Jukka Jylaenki [ctb, cph] , Mikkel Joergensen [ctb, cph]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Package healthiar updated to version 0.2.3 with previous version 0.2.2 dated 2026-01-09

Title: Quantifying and Monetizing Health Impacts Attributable to Exposure
Description: This R package has been developed with a focus on air pollution and noise but can be applied to other exposures. The initial development has been funded by the European Union project BEST-COST. Disclaimer: It is work in progress and the developers are not liable for any calculation errors or inaccuracies resulting from the use of this package. Selection of relevant references (in chronological order): WHO (2003) <https://www.who.int/publications/i/item/9241546204>, Murray et al. (2003) <doi:10.1186/1478-7954-1-1>, Miller & Hurley (2003) <doi:10.1136/jech.57.3.200>, Steenland & Armstrong (2006) <doi:10.1097/01.ede.0000229155.05644.43>, WHO (2011) <https://iris.who.int/items/723ab97c-5c33-4e3b-8df1-744aa5bc1c27>, GBD 2019 Risk Factors Collaborators (2020) <doi:10.1016/S0140-6736(20)30752-2>.
Author: Alberto Castro [cre, aut] , Axel Luyten [aut] , Arno Pauwels [ctb] , Liliana Vazquez Fernandez [ctb] , Gianni Ardielli [ctb] , Iracy Pimenta [ctb] , Susanne Breitner [ctb] , Carl Baravelli [ctb] , Vanessa Gorasso [ctb] , Maria Lepnurm [ctb] , Andreia [...truncated...]
Maintainer: Alberto Castro <alberto.castrofernandez@swisstph.ch>

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Package ggseg updated to version 2.0.0 with previous version 1.6.8 dated 2025-12-22

Title: Plotting Tool for Brain Atlases
Description: Provides a 'ggplot2' geom and position for visualizing brain region data on cortical, subcortical, and white matter tract atlases. Brain atlas geometries are stored as simple features ('sf'), enabling seamless integration with the 'ggplot2' ecosystem including faceting, custom scales, and themes. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.
Author: Athanasia Mo Mowinckel [aut, cre] , Didac Vidal-Pineiro [aut] , Ramiro Magno [aut]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package gaussratiovegind updated to version 3.0.0 with previous version 2.0.3 dated 2025-06-16

Title: Distribution of Gaussian Ratios
Description: It is well known that the distribution of a Gaussian ratio does not follow a Gaussian distribution. The lack of awareness among users of vegetation indices about this non-Gaussian nature could lead to incorrect statistical modeling and interpretation. This package provides tools to accurately handle and analyse such ratios: density function, parameter estimation, simulation. An example on the study of chlorophyll fluorescence can be found in A. El Ghaziri et al. (2023) <doi:10.3390/rs15020528> and another method for parameter estimation is given in Bouhlel et al. (2023) <doi:10.23919/EUSIPCO58844.2023.10290111>.
Author: Pierre Santagostini [aut, cre], Nizar Bouhlel [aut], Angelina El Ghaziri [aut], David Rousseau [ctb]
Maintainer: Pierre Santagostini <pierre.santagostini@institut-agro.fr>

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Package statgenGWAS updated to version 1.0.13 with previous version 1.0.12 dated 2025-07-01

Title: Genome Wide Association Studies
Description: Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), <doi:10.1038/ng.548>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Bart-Jan van Rossum [aut, cre] , Willem Kruijer [aut] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Ron Wehrens [ctb] , Choazhi Zh [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package rclsp updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-30

Title: A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems
Description: Convex Least Squares Programming (CLSP) is a two-step estimator for solving underdetermined, ill-posed, or structurally constrained least-squares problems. It combines pseudoinverse-based estimation with convex-programming correction methods inspired by Lasso, Ridge, and Elastic Net to ensure numerical stability, constraint enforcement, and interpretability. The package also provides numerical stability analysis and CLSP-specific diagnostics, including partial R^2, normalized RMSE (NRMSE), Monte Carlo t-tests for mean NRMSE, and condition-number-based confidence bands.
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

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Package booami updated to version 0.1.2 with previous version 0.1.1 dated 2025-09-30

Title: Component-Wise Gradient Boosting after Multiple Imputation
Description: Component-wise gradient boosting for analysis of multiply imputed datasets. Implements the algorithm Boosting after Multiple Imputation (MIBoost), which enforces uniform variable selection across imputations and provides utilities for pooling. Includes a cross-validation workflow that first splits the data into training and validation sets and then performs imputation on the training data, applying the learned imputation models to the validation data to avoid information leakage. Supports Gaussian and logistic loss. Methods relate to gradient boosting and multiple imputation as in Buehlmann and Hothorn (2007) <doi:10.1214/07-STS242>, Friedman (2001) <doi:10.1214/aos/1013203451>, and van Buuren (2018, ISBN:9781138588318) and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>; see also Kuchen (2025) <doi:10.48550/arXiv.2507.21807>.
Author: Robert Kuchen [aut, cre]
Maintainer: Robert Kuchen <rokuchen@uni-mainz.de>

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Package acdcquery updated to version 1.2.3 with previous version 1.2.1 dated 2026-02-18

Title: Query the Attentional Control Data Collection or the Truth Effect Database
Description: Interact with the Attentional Control Data Collection (ACDC) or the Truth Effect Database (TED). Download the databases using download_acdc() or download_ted(), connect to the database via connect_to_db(), set filter arguments via add_argument() and query the database via query_db().
Author: Sven Lesche [aut, cre, cph], Julia M. Haaf [ctb, ths], Madlen Hoffstadt [ctb]
Maintainer: Sven Lesche <sven.lesche@psychologie.uni-heidelberg.de>

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Package staRdom updated to version 1.1.32 with previous version 1.1.30 dated 2025-09-03

Title: PARAFAC Analysis of EEMs from DOM
Description: 'This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.'
Author: Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb]
Maintainer: Matthias Pucher <matthias.pucher@ecosight.at>

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Package srppp updated to version 2.0.3 with previous version 2.0.2 dated 2026-02-11

Title: Read the Swiss Register of Plant Protection Products
Description: Generate data objects from XML versions of the Swiss Register of Plant Protection Products. An online version of the register can be accessed at <https://www.psm.admin.ch/de/produkte>. There is no guarantee of correspondence of the data read in using this package with that online version, or with the original registration documents. Also, the Federal Food Safety and Veterinary Office, coordinating the authorisation of plant protection products in Switzerland, does not answer requests regarding this package.
Author: Daniel Baumgartner [ctb] , Marcel Mathis [rev, ctb], Romualdus Kasteel [rev] , Elisabeth Lutz [ctb], Johannes Ranke [aut, cre] , Agroscope [cph]
Maintainer: Johannes Ranke <johannes.ranke@agroscope.admin.ch>

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Package RSelenium updated to version 1.7.10 with previous version 1.7.9 dated 2022-09-02

Title: R Bindings for 'Selenium WebDriver'
Description: Provides a set of R bindings for the 'Selenium 2.0 WebDriver' (see <https://www.selenium.dev/documentation/> for more information) using the 'JsonWireProtocol' (see <https://github.com/SeleniumHQ/selenium/wiki/JsonWireProtocol> for more information). 'Selenium 2.0 WebDriver' allows driving a web browser natively as a user would either locally or on a remote machine using the Selenium server it marks a leap forward in terms of web browser automation. Selenium automates web browsers (commonly referred to as browsers). Using RSelenium you can automate browsers locally or remotely.
Author: John Harrison [aut] , Ju Yeong Kim [aut] , Jonathan Voelkle [aut, cre], Indranil Gayen [ctb]
Maintainer: Jonathan Voelkle <jonathan.voelkle@web.de>

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Package pleioh2g updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-28

Title: Estimation of Pleiotropic Heritability from Genome-Wide Association Studies (GWAS) Summary Statistics
Description: Provides tools to compute unbiased pleiotropic heritability estimates of complex diseases from genome-wide association studies (GWAS) summary statistics. We estimate pleiotropic heritability from GWAS summary statistics by estimating the proportion of variance explained from an estimated genetic correlation matrix (Bulik-Sullivan et al. 2015 <doi:10.1038/ng.3406>) and employing a Monte-Carlo bias correction procedure to account for sampling noise in genetic correlation estimates.
Author: Yujie Zhao [aut, cre]
Maintainer: Yujie Zhao <yujiezhao@hsph.harvard.edu>

Diff between pleioh2g versions 0.1.0 dated 2025-10-28 and 0.1.1 dated 2026-02-19

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Package mlr3 updated to version 1.4.0 with previous version 1.3.0 dated 2025-12-03

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Florian Pfisterer [aut] , Raphael Sonabend [aut] , Lennart Schneider [ctb] , [...truncated...]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package juicr updated to version 0.2 with previous version 0.1 dated 2021-04-30

Title: Automated and Manual Extraction of Numerical Data from Scientific Images
Description: Provides a GUI interface for automating data extraction from multiple images containing scatter and bar plots, semi-automated tools to tinker with extraction attempts, and a fully-loaded point-and-click manual extractor with image zoom, calibrator, and classifier. Also provides detailed and R-independent extraction reports as fully-embedded .html records.
Author: Marc J. Lajeunesse [aut, cre]
Maintainer: Marc J. Lajeunesse <lajeunesse@usf.edu>

Diff between juicr versions 0.1 dated 2021-04-30 and 0.2 dated 2026-02-19

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Package flare updated to version 1.8 with previous version 1.7.0.2 dated 2024-11-04

Title: Family of Lasso Regression
Description: Provides implementations of a family of Lasso variants, including Dantzig Selector, LAD Lasso, SQRT Lasso, and Lq Lasso, for estimating high-dimensional sparse linear models. We adopt the alternating direction method of multipliers and convert the original optimization problem into a sequence of L1-penalized least-squares minimization problems that are efficiently solved by linearization and multi-stage screening. In addition to sparse linear model estimation, we provide extensions of these methods to sparse Gaussian graphical model estimation, including TIGER and CLIME, using either L1 or adaptive penalties. Missing values can be tolerated for Dantzig selector and CLIME. Computation is memory-optimized using sparse matrix output. For more information, see <https://www.jmlr.org/papers/volume16/li15a/li15a.pdf>.
Author: Xingguo Li [aut], Tuo Zhao [aut, cre], Lie Wang [aut], Xiaoming Yuan [aut], Han Liu [aut]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

Diff between flare versions 1.7.0.2 dated 2024-11-04 and 1.8 dated 2026-02-19

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Package educabR readmission to version 0.1.2 with previous version 0.1.0 dated 2026-02-03

Title: Download and Process Brazilian Education Data from INEP
Description: Download and process public education data from INEP (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira). Provides functions to access microdata from the School Census (Censo Escolar), ENEM (Exame Nacional do Ensino Médio), IDEB (Índice de Desenvolvimento da Educação Básica), and other educational datasets. Returns data in tidy format ready for analysis. Data source: INEP Open Data Portal <https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos>.
Author: Sidney da Silva Pereira Bissoli [aut, cre]
Maintainer: Sidney da Silva Pereira Bissoli <sbissoli76@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2026-02-03

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Package bayesianVARs updated to version 0.1.8 with previous version 0.1.6 dated 2026-01-28

Title: MCMC Estimation of Bayesian Vectorautoregressions
Description: Efficient Markov Chain Monte Carlo (MCMC) algorithms for the fully Bayesian estimation of vectorautoregressions (VARs) featuring stochastic volatility (SV). Implements state-of-the-art shrinkage priors following Gruber & Kastner (2025) <doi:10.1016/j.ijforecast.2025.02.001>. Efficient equation-per-equation estimation following Kastner & Huber (2020) <doi:10.1002/for.2680> and Carrerio et al. (2021) <doi:10.1016/j.jeconom.2021.11.010>.
Author: Luis Gruber [cph, aut, cre] , Stefan Haan [aut], Gregor Kastner [aut, ths]
Maintainer: Luis Gruber <Luis.Gruber@aau.at>

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Package TAD updated to version 1.0.1 with previous version 1.0.0 dated 2024-11-28

Title: Realize the Trait Abundance Distribution
Description: The “TAD” package compiled an analytical framework based on an analysis of the shape of the trait abundance distributions to better understand community assembly processes, and predict community dynamics under environmental changes. This framework mobilized a study of the relationship between the moments describing the shape of the distributions: the skewness and the kurtosis (SKR). The SKR allows the identification of commonalities in the shape of trait distributions across contrasting communities. Derived from the SKR, we developed mathematical parameters that summarise the complex pattern of distributions by assessing (i) the R², (ii) the Y-intercept, (iii) the slope, (iv) the functional stability of community (TADstab), and, (v) the distance from specific distribution families (i.e., the distance from the skew-uniform family a limit to the highest degree of evenness: TADeve).
Author: Nathan Rondeau [aut], Yoann Le Bagousse-Pinguet [aut] , Raphael Martin [aut, cre] , Lain Pavot [aut], Pierre Liancourt [aut] , Nicolas Gross [aut] , INRAe/UREP [cph]
Maintainer: Raphael Martin <raphael.martin@inrae.fr>

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Package doctest updated to version 0.4.0 with previous version 0.3.0 dated 2024-01-11

Title: Generate Tests from Examples Using 'roxygen' and 'testthat'
Description: Creates 'testthat' tests from 'roxygen' examples using simple tags.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package autoharp updated to version 0.2.0 with previous version 0.0.13 dated 2025-11-30

Title: Semi-Automatic Grading of R and Rmd Scripts
Description: A customisable set of tools for assessing and grading R or R-markdown scripts from students. It allows for checking correctness of code output, runtime statistics and static code analysis. The latter feature is made possible by representing R expressions using a tree structure.
Author: Vik Gopal [aut], Agrawal Naman [aut, cre], Samuel Seah [aut], Viknesh Jeya Kumar [aut], Gabriel Ang [aut], Ruofan Liu [ctb], National University of Singapore [cph]
Maintainer: Agrawal Naman <naman.a@nus.edu.sg>

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Package SAM updated to version 1.2 with previous version 1.1.3 dated 2021-07-01

Title: Sparse Additive Modelling
Description: Computationally efficient tools for high dimensional predictive modeling (regression and classification). SAM is short for sparse additive modeling, and adopts the computationally efficient basis spline technique. We solve the optimization problems by various computational algorithms including the block coordinate descent algorithm, fast iterative soft-thresholding algorithm, and newton method. The computation is further accelerated by warm-start and active-set tricks.
Author: Haoming Jiang [aut], Yukun Ma [aut], Han Liu [aut], Kathryn Roeder [aut], Xingguo Li [aut], Tuo Zhao [aut, cre]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

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Package hdf5lib updated to version 2.0.0.6 with previous version 2.0.0.5 dated 2026-01-13

Title: Headers and Static Libraries for 'HDF5'
Description: 'HDF5' (Hierarchical Data Format 5) is a high-performance library and file format for storing and managing large, complex data. This package provides the static libraries and headers for the 'HDF5' 'C' library (release 2.0.0). It is intended for R package developers to use in the 'LinkingTo' field, which eliminates the need for users to install system-level 'HDF5' dependencies. This build is compiled with thread-safety enabled and supports dynamic loading of external compression filters. 'HDF5' is developed by The HDF Group <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd], The HDF Group [ctb, cph] , Jean-loup Mark [ctb, cph] , Gailly Adler [ctb, cph]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package gap updated to version 1.14 with previous version 1.9 dated 2026-02-06

Title: Genetic Analysis Package
Description: As first reported [Zhao, J. H. 2007. "gap: Genetic Analysis Package". J Stat Soft 23(8):1-18. <doi:10.18637/jss.v023.i08>], it is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, probability of familial disease aggregation, kinship calculation, statistics in linkage analysis, and association analysis involving genetic markers including haplotype analysis with or without environmental covariates. Over years, the package has been developed in-between many projects hence also in line with the name (gap).
Author: Jing Hua Zhao [aut, cre] , Kurt Hornik [ctb], Brian Ripley [ctb], Uwe Ligges [ctb], Achim Zeileis [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

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Package cepiweek updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-13

Title: Continuous Epidemiological Week Indexing for Time-Series Analysis
Description: Provides a simple algorithm to generate a continuous epidemiological week index from date variables in a dataframe. Weeks are computed as sequential 7-day intervals starting from the earliest observed date. They do not reset at calendar year boundaries and are not ISO 8601 nor MMWR calendar weeks. The approach is intended for epidemiological modeling and time-series analysis where temporal continuity is required. The generated weeks are sequential and do not reset at calendar year boundaries.
Author: Daniel Degina [aut, cre], Joel Mbuyi [ctb]
Maintainer: Daniel Degina <deginadan@gmail.com>

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Package BB updated to version 2026.1.0 with previous version 2019.10-1 dated 2019-10-18

Title: Solving and Optimizing Large-Scale Nonlinear Systems
Description: Barzilai-Borwein spectral methods for solving nonlinear system of equations, and for optimizing nonlinear objective functions subject to simple constraints. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("BB").
Author: Ravi Varadhan [aut, cph, cre], Paul Gilbert [aut], Marcos Raydan [ctb] , JM Martinez [ctb] , EG Birgin [ctb] , W LaCruz [ctb]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

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Package valytics updated to version 0.4.1 with previous version 0.4.0 dated 2026-02-09

Title: Statistical Methods for Analytical Method Comparison and Validation
Description: Provides statistical methods for analytical method comparison and validation studies. Implements Bland-Altman analysis for assessing agreement between measurement methods (Bland & Altman (1986) <doi:10.1016/S0140-6736(86)90837-8>), Passing-Bablok regression for non-parametric method comparison (Passing & Bablok (1983) <doi:10.1515/cclm.1983.21.11.709>), and Deming regression accounting for measurement error in both variables (Linnet (1993) <doi:10.1093/clinchem/39.3.424>). Also includes tools for setting quality goals based on biological variation (Fraser & Petersen (1993) <doi:10.1093/clinchem/39.7.1447>) and calculating Six Sigma metrics, precision experiments with variance component analysis, precision profiles for functional sensitivity estimation (Kroll & Emancipator (1993) <https://pubmed.ncbi.nlm.nih.gov/8448849/>). Commonly used in clinical laboratory method validation. Provides publication-ready plots and comprehensive statistical [...truncated...]
Author: Marcello Grassi [aut, cre]
Maintainer: Marcello Grassi <marcello.grassi@tum.de>

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Package priorityelasticnet updated to version 1.2.1 with previous version 0.2.0 dated 2025-01-19

Title: Comprehensive Analysis of Multi-Omics Data Using an Offset-Based Method
Description: Priority-ElasticNet extends the Priority-LASSO method (Klau et al. (2018) <doi:10.1186/s12859-018-2344-6>) by incorporating the ElasticNet penalty, allowing for both L1 and L2 regularization. This approach fits successive ElasticNet models for several blocks of (omics) data with different priorities, using the predicted values from each block as an offset for the subsequent block. It also offers robust options to handle block-wise missingness in multi-omics data, improving the flexibility and applicability of the model in the presence of incomplete datasets.
Author: Laila Qadir Musib [aut], Helena Mourino [aut], Eunice Carrasquinha [aut, cre]
Maintainer: Eunice Carrasquinha <eitrigueirao@ciencias.ulisboa.pt>

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Package epiDisplay updated to version 3.7.0.0 with previous version 3.5.0.2 dated 2022-05-18

Title: Epidemiological Data Display Package
Description: Package for data exploration and result presentation. Full 'epicalc' package with data management functions is available at '<https://medipe.psu.ac.th/epicalc/>'.
Author: Virasakdi Chongsuvivatwong [aut], Kittisakdi Choomalee [cre, ctb]
Maintainer: Kittisakdi Choomalee <pongxpa134@gmail.com>

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Package tidyweather updated to version 0.2.0 with previous version 0.1.0 dated 2026-01-17

Title: Analysis the Weather Data for Agriculture
Description: Functions are collected to analyse weather data for agriculture purposes including to read weather records in multiple formats, calculate extreme climate index. Demonstration data are included the SILO daily climate data (licensed under CC BY 4.0, <https://www.longpaddock.qld.gov.au/silo/>).
Author: Bangou Zheng [aut, cre]
Maintainer: Bangou Zheng <zheng.bangyou@gmail.com>

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Package rcatfish readmission to version 1.0.2 with previous version 1.0.1 dated 2026-02-16

Title: An R Interface to the California Academy of Sciences Eschmeyer's Catalog of Fishes
Description: Accesses the California Academy of Sciences Eschmeyer's Catalog of Fishes in R using web requests. The Catalog of fishes is the leading authority in fish taxonomy. Functions in the package allow users to search for fish taxa and valid names, retrieve taxonomic references, retrieve monthly taxonomic changes, obtain natural history collection information, and see the number of species by taxonomic group. For more information on the Catalog: Fricke, R., Eschmeyer, W. N. & R. van der Laan (eds) 2025. ESCHMEYER'S CATALOG OF FISHES <https://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp>.
Author: Samuel R. Borstein [aut, cre], Brandon Dominy [aut], Brian O'Meara [aut]
Maintainer: Samuel R. Borstein <sam@borstein.com>

This is a re-admission after prior archival of version 1.0.1 dated 2026-02-16

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Package optiSel updated to version 2.1.0 with previous version 2.0.9 dated 2024-07-08

Title: Optimum Contribution Selection and Population Genetics
Description: A framework for the optimization of breeding programs via optimum contribution selection and mate allocation. An easy to use set of function for computation of optimum contributions of selection candidates, and of the population genetic parameters to be optimized. These parameters can be estimated using pedigree or genotype information, and include kinships, kinships at native haplotype segments, and breed composition of crossbred individuals. They are suitable for managing genetic diversity, removing introgressed genetic material, and accelerating genetic gain. Additionally, functions are provided for computing genetic contributions from ancestors, inbreeding coefficients, the native effective size, the native genome equivalent, pedigree completeness, and for preparing and plotting pedigrees. The methods are described in:\n Wellmann, R., and Pfeiffer, I. (2009) <doi:10.1017/S0016672309000202>.\n Wellmann, R., and Bennewitz, J. (2011) <doi:10.2527/jas.2010-3709>.\n Wellmann [...truncated...]
Author: Robin Wellmann [aut, cre]
Maintainer: Robin Wellmann <ro.wellmann@gmail.com>

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Package migraph updated to version 1.5.8 with previous version 1.5.6 dated 2025-11-19

Title: Inferential Methods for Multimodal and Other Networks
Description: A set of tools for testing networks. It includes functions for univariate and multivariate conditional uniform graph and quadratic assignment procedure testing, and network regression. The package is a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book. Built on the 'manynet' package, all functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode and two-mode (bipartite) networks.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Bernhard Bieri [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package manynet updated to version 1.7.1 with previous version 1.7.0 dated 2025-11-19

Title: Many Ways to Make, Modify, Mark, and Measure Myriad Networks
Description: Many tools for making, modifying, marking, measuring, and motifs and memberships of many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, on directed, multiplex, multimodal, signed, and other networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing networks with sensible defaults.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Christian Steglich [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package huge readmission to version 1.4 with previous version 1.3.5 dated 2021-06-30

Title: High-Dimensional Undirected Graph Estimation
Description: Provides a general framework for high-dimensional undirected graph estimation. It integrates data preprocessing, neighborhood screening, graph estimation, and model selection techniques into a pipeline. In preprocessing stage, the nonparanormal(npn) transformation is applied to help relax the normality assumption. In the graph estimation stage, the graph structure is estimated by Meinshausen-Buhlmann graph estimation or the graphical lasso, and both methods can be further accelerated by the lossy screening rule preselecting the neighborhood of each variable by correlation thresholding. We target on high-dimensional data analysis usually d >> n, and the computation is memory-optimized using the sparse matrix output. We also provide a computationally efficient approach, correlation thresholding graph estimation. Three regularization/thresholding parameter selection methods are included in this package: (1)stability approach for regularization selection (2) rotation information crit [...truncated...]
Author: Haoming Jiang [aut], Xinyu Fei [aut], Han Liu [aut], Kathryn Roeder [aut], John Lafferty [aut], Larry Wasserman [aut], Xingguo Li [aut], Tuo Zhao [aut, cre]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

This is a re-admission after prior archival of version 1.3.5 dated 2021-06-30

Diff between huge versions 1.3.5 dated 2021-06-30 and 1.4 dated 2026-02-19

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Package brfinance readmission to version 0.8.0 with previous version 0.6.0 dated 2025-12-21

Title: Access to Brazilian Macroeconomic and Financial Time Series
Description: Provides simplified access to selected Brazilian macroeconomic and financial time series from official sources, primarily the Central Bank of Brazil through the SGS (Sistema Gerenciador de Séries Temporais) API. The package enables users to quickly retrieve and visualize indicators such as the unemployment rate and the Selic interest rate using a standardized data structure. It is designed for data access and visualization purposes, without performing forecasts or statistical modeling. For more information, see the official API: <https://dadosabertos.bcb.gov.br/dataset/>.
Author: Joao Paulo dos Santos Pereira Barbosa [aut, cre]
Maintainer: Joao Paulo dos Santos Pereira Barbosa <joao.31582129@gmail.com>

This is a re-admission after prior archival of version 0.6.0 dated 2025-12-21

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Package automerge readmission to version 0.3.1 with previous version 0.3.0 dated 2026-02-17

Title: R Bindings for 'Automerge' 'CRDT' Library
Description: Provides R bindings to the 'Automerge' Conflict-free Replicated Data Type ('CRDT') library. 'Automerge' enables automatic merging of concurrent changes without conflicts, making it ideal for distributed systems, collaborative applications, and offline-first architectures. The approach of local-first software was proposed in Kleppmann, M., Wiggins, A., van Hardenberg, P., McGranaghan, M. (2019) <doi:10.1145/3359591.3359737>. This package supports all 'Automerge' data types (maps, lists, text, counters) and provides both low-level and high-level synchronization protocols for seamless interoperability with 'JavaScript' and other 'Automerge' implementations.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Authors of the dependency Rust crates [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

This is a re-admission after prior archival of version 0.3.0 dated 2026-02-17

Diff between automerge versions 0.3.0 dated 2026-02-17 and 0.3.1 dated 2026-02-19

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Package alsi updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-17

Title: Aggregated Latent Space Index for Multiple Correspondence Analysis
Description: Tools for stability-validated aggregation in multiple correspondence analysis (MCA). Implements parallel analysis for dimensionality assessment, bootstrap-based subspace stability diagnostics using Procrustes rotation and Tucker's congruence coefficients, and computation of the Aggregated Latent Space Index (ALSI). ALSI is a person-level summary measure derived from validated MCA dimensions that quantifies departure from independence along stable association directions in multivariate categorical data.
Author: Se-Kang Kim [aut, cre]
Maintainer: Se-Kang Kim <se-kang.kim@bcm.edu>

Diff between alsi versions 0.1.2 dated 2026-02-17 and 0.1.3 dated 2026-02-19

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Package GPSeqClus (with last version 1.4.0) was removed from CRAN

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2020-08-06 1.7.5
2020-07-03 1.7.4
2020-06-02 1.7.3
2020-04-02 1.0.7
2019-12-19 1.0.6
2019-10-21 1.0.5
2019-09-23 1.0.4
2019-08-28 1.0.1
2019-08-23 1.0.0
2019-07-05 0.8.6
2019-05-27 0.8.5
2019-05-17 0.8.4

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Package rixpress updated to version 0.12.2 with previous version 0.11.2 dated 2026-01-28

Title: Build Reproducible Analytical Pipelines with 'Nix'
Description: Streamlines the creation of reproducible analytical pipelines using 'default.nix' expressions generated via the 'rix' package for reproducibility. Define derivations in 'R', 'Python' or 'Julia', chain them into a composition of pure functions and build the resulting pipeline using 'Nix' as the underlying end-to-end build tool. Functions to plot the pipeline as a directed acyclic graph are included, as well as functions to load and inspect intermediary results for interactive analysis. User experience heavily inspired by the 'targets' package.
Author: Bruno Rodrigues [aut, cre] , William Michael Landau [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/706>), Anthony Martinez [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>)
Maintainer: Bruno Rodrigues <bruno@brodrigues.co>

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Package reader updated to version 1.1.0 with previous version 1.0.6 dated 2017-01-03

Title: Suite of Functions to Flexibly Read Data from Files
Description: A set of functions to simplify reading data from files. The main function, reader(), should read most common R datafile types without needing any parameters except the filename. Other functions provide simple ways of handling file paths and extensions, and automatically detecting file format and structure.
Author: Nicholas Cooper [aut, cre]
Maintainer: Nicholas Cooper <njcooper@gmx.co.uk>

Diff between reader versions 1.0.6 dated 2017-01-03 and 1.1.0 dated 2026-02-19

 DESCRIPTION           |   14 +++++++++-----
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More information about reader at CRAN
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Package overlapping updated to version 2.4 with previous version 2.3 dated 2026-01-30

Title: Estimation of Overlapping in Empirical Distributions
Description: Functions for estimating the overlapping area of two or more kernel density estimations from empirical data.
Author: Massimiliano Pastore [aut, cre], Pierfrancesco Alaimo Di Loro [ctb], Marco Mingione [ctb], Antonio Calcagni' [ctb]
Maintainer: Massimiliano Pastore <massimiliano.pastore@unipd.it>

Diff between overlapping versions 2.3 dated 2026-01-30 and 2.4 dated 2026-02-19

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Package NCmisc updated to version 1.3.1 with previous version 1.2.0 dated 2022-10-17

Title: Miscellaneous Functions for Creating Adaptive Functions and Scripts
Description: A set of handy functions. Includes a versatile one line progress bar, one line function timer with detailed output, time delay function, text histogram, object preview, CRAN package search, simpler package installer, Linux command install check, a flexible Mode function, top function, simulation of correlated data, and more.
Author: Nicholas Cooper [aut, cre]
Maintainer: Nicholas Cooper <njcooper@gmx.co.uk>

Diff between NCmisc versions 1.2.0 dated 2022-10-17 and 1.3.1 dated 2026-02-19

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Package iotools updated to version 0.4-0 with previous version 0.3-5 dated 2023-12-02

Title: I/O Tools for Streaming
Description: Basic I/O tools for streaming and data parsing.
Author: Simon Urbanek [aut, cre] , Taylor Arnold [aut]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between iotools versions 0.3-5 dated 2023-12-02 and 0.4-0 dated 2026-02-19

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Package happign updated to version 0.3.8 with previous version 0.3.7 dated 2026-01-08

Title: R Interface to 'IGN' Web Services
Description: Automatic open data acquisition from resources of IGN ('Institut National de Information Geographique et forestiere') (<https://www.ign.fr/>). Available datasets include various types of raster and vector data, such as digital elevation models, state borders, spatial databases, cadastral parcels, and more. 'happign' also provide access to API Carto (<https://apicarto.ign.fr/api/doc/>).
Author: Paul Carteron [aut, cre]
Maintainer: Paul Carteron <carteronpaul@gmail.com>

Diff between happign versions 0.3.7 dated 2026-01-08 and 0.3.8 dated 2026-02-19

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Package gridtext updated to version 0.1.6 with previous version 0.1.5 dated 2022-09-16

Title: Improved Text Rendering Support for 'Grid' Graphics
Description: Provides support for rendering of formatted text using 'grid' graphics. Text can be formatted via a minimal subset of 'Markdown', 'HTML', and inline 'CSS' directives, and it can be rendered both with and without word wrap.
Author: Claus O. Wilke [aut] , Brenton M. Wiernik [aut, cre]
Maintainer: Brenton M. Wiernik <brenton@wiernik.org>

Diff between gridtext versions 0.1.5 dated 2022-09-16 and 0.1.6 dated 2026-02-19

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Package fmesher updated to version 0.7.0 with previous version 0.6.1 dated 2025-12-12

Title: Triangle Meshes and Related Geometry Tools
Description: Generate planar and spherical triangle meshes, compute finite element calculations for 1-, 2-, and 3-dimensional flat and curved manifolds with associated basis function spaces, methods for lines and polygons, and transparent handling of coordinate reference systems and coordinate transformation, including 'sf' and 'sp' geometries. The core 'fmesher' library code was originally part of the 'INLA' package, and implements parts of "Triangulations and Applications" by Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.
Author: Finn Lindgren [aut, cre, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb] , Fabian E. Bachl [ctb]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

Diff between fmesher versions 0.6.1 dated 2025-12-12 and 0.7.0 dated 2026-02-19

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Package bpcp updated to version 1.5.1 with previous version 1.4.2 dated 2022-03-11

Title: Beta Product Confidence Procedure for Right Censored Data
Description: Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data, and for medians [Fay and Brittain <DOI:10.1002/sim.6905>]. Has two-sample tests for dissimilarity (e.g., difference, ratio or odds ratio) in survival at a fixed time, and differences in medians [Fay, Proschan, and Brittain <DOI:10.1111/biom.12231>]. Basically, the package gives exact inference methods for one- and two-sample exact inferences for Kaplan-Meier curves (e.g., generalizing Fisher's exact test to allow for right censoring), which are especially important for latter parts of the survival curve, small sample sizes or heavily censored data. Includes mid-p options.
Author: Michael P. Fay [aut, cre], Allyson Mateja [ctb], Megan Grieco [ctb]
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

Diff between bpcp versions 1.4.2 dated 2022-03-11 and 1.5.1 dated 2026-02-19

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