Wed, 11 Feb 2026

Package r5rgui updated to version 0.2.0 with previous version 0.1.0 dated 2025-11-25

Title: Graphical User Interface for 'r5r' Router
Description: Interactively build and explore public transit routes with 'r5r' package via a graphical user interface in a 'shiny' app. The underlying routing methods are described in Pereira et al. (2021) <doi:10.32866/001c.21262>.
Author: Egor Kotov [aut, cre, cph]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package cml updated to version 0.3.1 with previous version 0.2.2 dated 2023-04-24

Title: Conditional Manifold Learning
Description: Finds a low-dimensional embedding of high-dimensional data, conditioning on available manifold information.
Author: Anh Tuan Bui [aut, cre]
Maintainer: Anh Tuan Bui <atbui@u.northwestern.edu>

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Package sumExtras updated to version 1.0.0 with previous version 0.3.0 dated 2026-01-22

Title: Extra Functions for 'gtsummary' Table Styling
Description: Provides additional convenience functions for 'gtsummary' (Sjoberg et al. (2021) <doi:10.32614/RJ-2021-053>) & 'gt' tables, including automatic variable labeling from dictionaries, standardized missing value display, and consistent formatting helpers for streamlined table styling workflows.
Author: Kyle Grealis [aut, cre] , Raymond Balise [ctb] , Daniel Maya [ctb]
Maintainer: Kyle Grealis <kyleGrealis@proton.me>

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Package junco updated to version 0.1.4 with previous version 0.1.3 dated 2026-01-15

Title: Create Common Tables and Listings Used in Clinical Trials
Description: Structure and formatting requirements for clinical trial table and listing outputs vary between pharmaceutical companies. 'junco' provides additional tooling for use alongside the 'rtables', 'rlistings' and 'tern' packages when creating table and listing outputs. While motivated by the specifics of Johnson and Johnson Clinical and Statistical Programming's table and listing shells, 'junco' provides functionality that is general and reusable. Major features include a) alternative and extended statistical analyses beyond what 'tern' supports for use in standard safety and efficacy tables, b) a robust production-grade Rich Text Format (RTF) exporter for both tables and listings, c) structural support for spanning column headers and risk difference columns in tables, and d) robust font-aware automatic column width algorithms for both listings and tables.
Author: Gabriel Becker [cre, aut] , Ilse Augustyns [aut], Paul Jenkins [aut], Daniel Hofstaedter [aut], Joseph Kovach [aut], David Munoz Tord [aut], Daniel Sabanes Bove [aut], Ezequiel Anokian [ctb], Renfei Mao [ctb], Mrinal Das [ctb], Wojciech Wojciak [ctb] [...truncated...]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

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Package jarbes updated to version 2.4.2 with previous version 2.4.0 dated 2025-08-29

Title: Just a Rather Bayesian Evidence Synthesis
Description: Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).
Author: Pablo Emilio Verde [aut, cre]
Maintainer: Pablo Emilio Verde <pabloemilio.verde@hhu.de>

Diff between jarbes versions 2.4.0 dated 2025-08-29 and 2.4.2 dated 2026-02-11

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Package GREENeR updated to version 1.0.1 with previous version 1.0.0 dated 2024-02-01

Title: Geospatial Regression Equation for European Nutrient Losses (GREEN)
Description: Tools and methods to apply the model Geospatial Regression Equation for European Nutrient losses (GREEN); Grizzetti et al. (2005) <doi:10.1016/j.jhydrol.2004.07.036>; Grizzetti et al. (2008); Grizzetti et al. (2012) <doi:10.1111/j.1365-2486.2011.02576.x>; Grizzetti et al. (2021) <doi:10.1016/j.gloenvcha.2021.102281>.
Author: A. Udias [aut], B. Grizzetti [aut], O. Vigiak [aut], J. Gomez [aut], C. Alfaro [aut, cre], A. Aloe [aut]
Maintainer: C. Alfaro <c.alfarog@gmail.com>

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New package TICM with initial version 1.0-0
Package: TICM
Title: Testing the Validity of the Independent Component Model Assumption
Version: 1.0-0
Date: 2026-02-09
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>
Imports: Rcpp (>= 0.11.0), stats, parallel
Depends: fICA, JADE, graphics
LinkingTo: Rcpp, RcppArmadillo
Description: Description: Provides affine-invariant, distribution-free tests of multivariate independence, applied either directly to observed data or to estimated independent components. In the latter case, the procedures can be used to assess the validity of independent component models. The tests are based on L2-type distances between characteristic functions, with inference carried out using permutation or bootstrap resampling schemes. The methods are described in Hallin et al. (2024) <doi:10.48550/arXiv.2404.07632>.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2026-02-09 13:34:11 UTC; nordklau
Author: Klaus Nordhausen [aut, cre] , Marc Hallin [aut] , Simos Meintanis [aut]
Repository: CRAN
Date/Publication: 2026-02-11 20:20:08 UTC

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New package simevent with initial version 0.1.0
Package: simevent
Title: Simulation and Analysis of Event History Data
Version: 0.1.0
Description: Simulate event history data from a framework where treatment decisions and disease progression are represented as counting process. The user can specify number of events and parameters of intensities thereby creating a flexible simulation framework.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/miclukacova/simevent
BugReports: https://github.com/miclukacova/simevent/issues
Imports: stats, data.table, ggplot2, survival, Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-02-09 14:52:08 UTC; dns525
Author: Michaela Lukacova [aut, cre]
Maintainer: Michaela Lukacova <michaela.lukacova@sund.ku.dk>
Repository: CRAN
Date/Publication: 2026-02-11 20:20:02 UTC

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Package mantis updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-13

Title: Multiple Time Series Scanner
Description: Generate interactive html reports that enable quick visual review of multiple related time series stored in a data frame. For static datasets, this can help to identify any temporal artefacts that may affect the validity of subsequent analyses. For live data feeds, regularly scheduled reports can help to pro-actively identify data feed problems or unexpected trends that may require action. The reports are self-contained and shareable without a web server.
Author: T. Phuong Quan [aut, cre] , University of Oxford [cph], National Institute for Health Research [fnd], Rodrigo Pires [rev], Margaret Siple [rev]
Maintainer: T. Phuong Quan <phuongquan567@outlook.com>

Diff between mantis versions 1.0.1 dated 2026-01-13 and 1.0.2 dated 2026-02-11

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New package iv.sensemakr with initial version 0.1.0
Package: iv.sensemakr
Title: Sensitivity Analysis Tools for Instrumental Variable Estimates
Version: 0.1.0
Description: Implements a suite of sensitivity analysis tools for instrumental variable estimates as described in Cinelli and Hazlett (2025) <doi:10.1093/biomet/asaf004>.
License: GPL-3
URL: https://carloscinelli.com/iv.sensemakr/, https://github.com/carloscinelli/iv.sensemakr
BugReports: https://github.com/carloscinelli/iv.sensemakr/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: sensemakr (>= 0.1.5)
Depends: R (>= 3.1.0)
NeedsCompilation: no
Packaged: 2026-02-09 08:18:58 UTC; cinelli
Author: Carlos Cinelli [aut, cre, cph], Chad Hazlett [aut, cph]
Maintainer: Carlos Cinelli <carloscinelli@hotmail.com>
Repository: CRAN
Date/Publication: 2026-02-11 20:10:02 UTC

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New package DepMod with initial version 0.1.0
Package: DepMod
Title: Decision-Analytic Modelling for Depression Prevention and Treatment
Version: 0.1.0
Description: Provides functions and example datasets to run a decision-analytic model for prevention and treatment strategies across depression severity states (sub-clinical, mild, moderate, severe, and recurrent). The package supports scenario analyses (base and alternative inputs) and summarises outcomes such as coverage, adherence, effect sizes, and healthcare costs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, stats, utils, DT, DiagrammeR, tidyverse, bslib, here
Depends: R (>= 3.5)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-09 10:29:40 UTC; 85304spe
Author: Stijn Peeters [aut, cre] , Frederick Thielen [aut] , Ben Wijnen [aut]
Maintainer: Stijn Peeters <s.b.peeters@eshpm.eur.nl>
Repository: CRAN
Date/Publication: 2026-02-11 20:10:08 UTC

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Package srppp updated to version 2.0.2 with previous version 2.0.0 dated 2025-12-11

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>

Diff between srppp versions 2.0.0 dated 2025-12-11 and 2.0.2 dated 2026-02-11

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 13 files changed, 2118 insertions(+), 2036 deletions(-)

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New package placematchr with initial version 0.2.3
Package: placematchr
Title: Normalize and Match City Names to NUTS Regions
Version: 0.2.3
Date: 2026-02-08
Description: Normalizes city names for Germany (DE) and Switzerland (CH) and matches them to NUTS 3 regions using provided crosswalks. Features include comprehensive normalization rules, cascading matching logic (Exact NUTS -> Exact LAU -> Fuzzy), and single-source data synthesis. The package implements the NUTS classification as described in the NUTS methodology (Eurostat (2021) <https://ec.europa.eu/eurostat/web/nuts>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, stringr, stringdist, data.table, tidyr, rlang
Suggests: testthat, readxl
NeedsCompilation: no
Packaged: 2026-02-08 23:47:07 UTC; giulianetinginfrati
Author: Giulian Etingin-Frati [aut, cre]
Maintainer: Giulian Etingin-Frati <etingin-frati@kof.ethz.ch>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-02-11 19:50:02 UTC

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New package likelihood.model with initial version 0.9.1
Package: likelihood.model
Title: Likelihood-Based Statistical Inference in the Fisherian Tradition
Version: 0.9.1
Description: Facilitates building likelihood models in the Fisherian tradition following Richard Royall (1997, ISBN:978-0412044113) "Statistical Evidence: A Likelihood Paradigm". Defines generic methods for working with likelihoods (loglik(), score(), hess_loglik(), fim()) and provides functions for pure likelihood-based inference (support(), relative_likelihood(), likelihood_interval(), profile_loglik()). Includes a likelihood contributions model for heterogeneous observation types (exact, censored, etc.) assuming i.i.d. data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: algebraic.mle, mvtnorm, generics, stats, numDeriv, boot, R6
URL: https://github.com/queelius/likelihood.model, https://queelius.github.io/likelihood.model/
BugReports: https://github.com/queelius/likelihood.model/issues
Suggests: algebraic.dist, rmarkdown, dplyr, knitr, tibble, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-07 22:57:26 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-02-11 19:10:02 UTC

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New package geobounds with initial version 0.1.0
Package: geobounds
Title: Download Map Data from 'geoBoundaries'
Version: 0.1.0
Description: Tools to download data from 'geoBoundaries' <https://www.geoboundaries.org/>. Several administration levels available. See Runfola, D. et al. (2020) geoBoundaries: A global database of political administrative boundaries. PLOS ONE 15(4): 1-9. <doi:10.1371/journal.pone.0231866>.
License: CC BY 4.0
URL: https://dieghernan.github.io/geobounds/, https://github.com/dieghernan/geobounds
BugReports: https://github.com/dieghernan/geobounds/issues
Depends: R (>= 4.1.0)
Imports: cli, countrycode, dplyr, httr2 (>= 1.0.0), sf, tools, utils
Suggests: ggplot2, jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Copyright: Attribution required. See file COPYRIGHTS for specific provisions.
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-09 05:37:13 UTC; diego
Author: Diego Hernangomez [aut, cre, cph] , William and Mary geoLab [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-11 20:00:02 UTC

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New package firmmatchr with initial version 0.1.2
Package: firmmatchr
Title: Robust Probabilistic Matching for German Company Names
Version: 0.1.2
Description: A pipeline for matching messy company name strings against a clean dictionary (e.g., 'Orbis'). Implements a cascading strategy: Exact -> Fuzzy ('zoomerjoin') -> 'FTS5' ('SQLite') -> Rarity Weighted. References: Beniamino Green (2025) <https://beniamino.org/zoomerjoin/>; <https://www.sqlite.org/fts5.html>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, stringi, stringdist, zoomerjoin, DBI, RSQLite, cli, progressr, httr, jsonlite, glue, purrr, readr, dplyr
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-02-08 23:26:30 UTC; giulianetinginfrati
Author: Giulian Etingin-Frati [aut, cre]
Maintainer: Giulian Etingin-Frati <etingin-frati@kof.ethz.ch>
Repository: CRAN
Date/Publication: 2026-02-11 19:50:07 UTC

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Package EcoCleanR readmission to version 1.0.2 with previous version 1.0.1 dated 2025-11-19

Title: EcoCleanR: Enhancing Data Quality of Biogeographic Ranges with Application for Marine Invertebrates
Description: Provides step-by-step automation for integrating biodiversity data from multiple online aggregators, merging and cleaning datasets while addressing challenges such as taxonomic inconsistencies, georeferencing issues, and spatial or environmental outliers. Includes functions to extract environmental data and to define the biogeographic ranges in which species are most likely to occur.
Author: Priyanka Soni [aut, cre] , Austin Hendy [ctb] , David Bottjer [ctb] , Vijay Barve [ctb]
Maintainer: Priyanka Soni <sonip@usc.edu>

This is a re-admission after prior archival of version 1.0.1 dated 2025-11-19

Diff between EcoCleanR versions 1.0.1 dated 2025-11-19 and 1.0.2 dated 2026-02-11

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 36 files changed, 1051 insertions(+), 1065 deletions(-)

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New package dtaudit with initial version 0.1.1
Package: dtaudit
Title: Audit and Diagnostic Tools for 'data.table' Workflows
Version: 0.1.1
Description: Diagnostic tools for auditing data analysis workflows built on 'data.table'. Provides functions to validate join operations, compare data.tables, filter with diagnostic output, summarize data quality, check primary keys and variable relationships, and diagnose string columns. Designed to help analysts understand and document data transformations.
License: LGPL (>= 3)
Encoding: UTF-8
Imports: data.table, stringi
URL: https://github.com/fpcordeiro/dtaudit
BugReports: https://github.com/fpcordeiro/dtaudit/issues
Suggests: knitr, pbapply, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-08 21:14:35 UTC; fernando
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-11 20:00:09 UTC

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New package cnefetools with initial version 0.2.0
Package: cnefetools
Title: Access and Analysis of Brazilian CNEFE Address Data
Version: 0.2.0
Description: Download, cache and read municipality-level address data from the Cadastro Nacional de Enderecos para Fins Estatisticos (CNEFE) of the 2022 Brazilian Census, published by the Instituto Brasileiro de Geografia e Estatistica (IBGE) <https://ftp.ibge.gov.br/Cadastro_Nacional_de_Enderecos_para_Fins_Estatisticos/>. Beyond data access, provides spatial aggregation of addresses, computation of land-use mix indices, and dasymetric interpolation of census tract variables using CNEFE dwelling points as ancillary data. Results can be produced on 'H3' hexagonal grids or user-supplied polygons, and heavy operations leverage a 'DuckDB' backend with extensions for fast, in-process execution.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/pedreirajr/cnefetools, https://pedreirajr.github.io/cnefetools/
BugReports: https://github.com/pedreirajr/cnefetools/issues
Suggests: ggplot2, kableExtra, knitr, leafsync, mapview, odbr, rmarkdown, scales, testthat (>= 3.0.0), zip
Depends: R (>= 4.1.0)
Imports: arrow, dplyr, sf, geobr, lifecycle, rlang, h3jsr, tidyr, DBI, duckdb, duckspatial, cli (>= 3.6.0), checkmate, fs, httr2, piggyback
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-07 18:55:43 UTC; jorge
Author: Jorge Ubirajara Pedreira Junior [aut, cre, cph] , Bruno Mioto [aut], Kaio Cunha Pedreira [ctb]
Maintainer: Jorge Ubirajara Pedreira Junior <jorge.ubirajara@ufba.br>
Repository: CRAN
Date/Publication: 2026-02-11 20:00:15 UTC

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New package aesopR with initial version 0.1.0
Package: aesopR
Title: Tools for Text Analysis of Aesop's Fables
Version: 0.1.0
Description: Provides a tidy text corpus of Aesop's Fables sourced from the Library of Congress, along with analysis-ready datasets for sentiment, emotion, and linguistic analysis of moral storytelling. The package includes both full narrative texts and word-level representations to support exploratory text analysis and teaching workflows.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Suggests: dplyr
NeedsCompilation: no
Packaged: 2026-02-08 16:53:56 UTC; davidbrocker
Author: Dave Brocker [aut, cre]
Maintainer: Dave Brocker <davidabrocker@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-11 19:50:12 UTC

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Package tfrmtbuilder updated to version 0.1.1 with previous version 0.1.0 dated 2024-10-11

Title: 'shiny' App Companion to the 'tfrmt' Package
Description: Provides an interactive interface to the 'tfrmt' package. Users can import, modify, and export tables and templates with little to no code.
Author: Becca Krouse [aut, cre], Christina Fillmore [aut] , Karima Ahmad [aut] , Ellis Hughes [aut] , GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Becca Krouse <becca.z.krouse@gsk.com>

Diff between tfrmtbuilder versions 0.1.0 dated 2024-10-11 and 0.1.1 dated 2026-02-11

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Package semPlot updated to version 1.1.8 with previous version 1.1.7 dated 2025-09-01

Title: Path Diagrams and Visual Analysis of Various SEM Packages' Output
Description: Path diagrams and visual analysis of various SEM packages' output.
Author: Sacha Epskamp [aut, cre], Simon Stuber [ctb], Jason Nak [ctb], Myrthe Veenman [ctb], Terrence D. Jorgensen [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between semPlot versions 1.1.7 dated 2025-09-01 and 1.1.8 dated 2026-02-11

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Package rENA updated to version 0.3.1 with previous version 0.3.0 dated 2025-09-29

Title: Epistemic Network Analysis
Description: ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models. Shaffer, D.W., Collier, W., & Ruis, A.R. (2016).
Author: Cody L Marquart [aut, cre] , Zachari Swiecki [aut], Wesley Collier [aut], Brendan Eagan [aut], Roman Woodward [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>

Diff between rENA versions 0.3.0 dated 2025-09-29 and 0.3.1 dated 2026-02-11

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Package rbi updated to version 1.0.1 with previous version 1.0.0 dated 2023-08-15

Title: Interface to 'LibBi'
Description: Provides a complete interface to 'LibBi', a library for Bayesian inference (see <https://libbi.org> and Murray, 2015 <doi:10.18637/jss.v067.i10> for more information). This includes functions for manipulating 'LibBi' models, for reading and writing 'LibBi' input/output files, for converting 'LibBi' output to provide traces for use with the coda package, and for running 'LibBi' to conduct inference.
Author: Pierre E. Jacob [aut], Anthony Lee [ctb], Lawrence M. Murray [ctb], Sebastian Funk [aut, cre], Sam Abbott [ctb]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

Diff between rbi versions 1.0.0 dated 2023-08-15 and 1.0.1 dated 2026-02-11

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Package quitefastmst updated to version 0.9.1 with previous version 0.9.0 dated 2025-07-23

Title: Euclidean and Mutual Reachability Minimum Spanning Trees
Description: Functions to compute Euclidean minimum spanning trees using single-, sesqui-, and dual-tree Boruvka algorithms. Thanks to K-d trees, they are fast in spaces of low intrinsic dimensionality. Mutual reachability distances (used in the definition of the 'HDBSCAN*' algorithm) are supported too. The package also includes relatively fast fallback minimum spanning tree and nearest-neighbours algorithms for spaces of higher dimensionality. The 'Python' version of 'quitefastmst' is available via 'PyPI'.
Author: Marek Gagolewski [aut, cre, cph]
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between quitefastmst versions 0.9.0 dated 2025-07-23 and 0.9.1 dated 2026-02-11

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Package psychotools updated to version 0.7-6 with previous version 0.7-5 dated 2025-10-21

Title: Psychometric Modeling Infrastructure
Description: Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit, rating scale, multinomial processing tree models), extractor functions for different types of parameters (item, person, threshold, discrimination, guessing, upper asymptotes), unified inference and visualizations, and various datasets for illustration. Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and trees based on psychometric models in package "psychotree".
Author: Achim Zeileis [aut, cre] , Carolin Strobl [aut] , Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider [aut] , Rudolf Debelak [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between psychotools versions 0.7-5 dated 2025-10-21 and 0.7-6 dated 2026-02-11

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 MD5                                     |   16 +--
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Package odr updated to version 1.8.3 with previous version 1.7.3 dated 2025-10-31

Title: Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects
Description: Calculate the optimal sample size allocation that uses the minimum resources to achieve targeted statistical power in experiments. Perform power analyses with and without accommodating costs and budget. The designs cover single-level and multilevel experiments detecting main, mediation, and moderation effects (and some combinations). The references for the proposed methods include: (1) Shen, Z., & Kelcey, B. (2020). Optimal sample allocation under unequal costs in cluster-randomized trials. Journal of Educational and Behavioral Statistics, 45(4): 446-474. <doi:10.3102/1076998620912418>. (2) Shen, Z., & Kelcey, B. (2022b). Optimal sample allocation for three-level multisite cluster-randomized trials. Journal of Research on Educational Effectiveness, 15 (1), 130-150. <doi:10.1080/19345747.2021.1953200>. (3) Shen, Z., & Kelcey, B. (2022a). Optimal sample allocation in multisite randomized trials. The Journal of Experimental Education, 90(3), 693-711. <doi:10.108 [...truncated...]
Author: Zuchao Shen [aut, cre] , Benjamin Kelcey [aut]
Maintainer: Zuchao Shen <zuchao.shen@gmail.com>

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Package OBIC updated to version 4.2.3 with previous version 4.2.1 dated 2026-01-30

Title: Calculate the Open Bodem Index (OBI) Score
Description: The Open Bodem Index (OBI) is a method to evaluate the quality of soils of agricultural fields in The Netherlands and the sustainability of the current agricultural practices. The OBI score is based on four main criteria: chemical, physical, biological and management, which consist of more than 21 indicators. By providing results of a soil analysis and management info the 'OBIC' package can be use to calculate he scores, indicators and derivatives that are used by the OBI. More information about the Open Bodem Index can be found at <https://openbodemindex.nl/>.
Author: Sven Verweij [aut, cre] , Gerard Ros [aut] , Yuki Fujita [aut] , Wilbrand Hendrik Riechelman [aut] , Kees van den Dool [aut] , Job de Pater [ctb], Nutrienten Managment Instituut [cph]
Maintainer: Sven Verweij <sven.verweij@nmi-agro.nl>

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Package INFOSET updated to version 4.1.1 with previous version 4.1 dated 2024-11-23

Title: Computing a New Informative Distribution Set of Asset Returns
Description: Estimation of the most-left informative set of gross returns (i.e., the informative set). The procedure to compute the informative set adjusts the method proposed by Mariani et al. (2022a) <doi:10.1007/s11205-020-02440-6> and Mariani et al. (2022b) <doi:10.1007/s10287-022-00422-2> to gross returns of financial assets. This is accomplished through an adaptive algorithm that identifies sub-groups of gross returns in each iteration by approximating their distribution with a sequence of two-component log-normal mixtures. These sub-groups emerge when a significant change in the distribution occurs below the median of the financial returns, with their boundary termed as the “change point" of the mixture. The process concludes when no further change points are detected. The outcome encompasses parameters of the leftmost mixture distributions and change points of the analyzed financial time series. The functionalities of the INFOSET package include: (i) modelling asset distribution [...truncated...]
Author: Gloria Polinesi [aut, cre], Francesca Mariani [aut], Maria Cristina Recchioni [aut]
Maintainer: Gloria Polinesi <g.polinesi@staff.univpm.it>

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Package benthos updated to version 2.0-0 with previous version 1.3-9 dated 2025-07-04

Title: Marine Benthic Ecosystem Analysis
Description: Preprocessing tools and biodiversity measures (species abundance, species richness, population heterogeneity and sensitivity) for analysing marine benthic data. See Van Loon et al. (2015) <doi:10.1016/j.seares.2015.05.002> for an application of these tools.
Author: Dennis Walvoort [aut, cre, cph]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>

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Package text2map updated to version 0.2.3 with previous version 0.2.0 dated 2024-04-11

Title: R Tools for Text Matrices, Embeddings, and Networks
Description: This is a collection of functions optimized for working with with various kinds of text matrices. Focusing on the text matrix as the primary object - represented either as a base R dense matrix or a 'Matrix' package sparse matrix - allows for a consistent and intuitive interface that stays close to the underlying mathematical foundation of computational text analysis. In particular, the package includes functions for working with word embeddings, text networks, and document-term matrices. Methods developed in Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>, Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>, Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.
Author: Dustin Stoltz [aut, cre] , Marshall Taylor [aut]
Maintainer: Dustin Stoltz <dss219@lehigh.edu>

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Package influence.ME updated to version 0.9-10 with previous version 0.9-9 dated 2017-06-07

Title: Tools for Detecting Influential Data in Mixed Effects Models
Description: Provides a collection of tools for detecting influential cases in generalized mixed effects models. It analyses models that were estimated using 'lme4'. The basic rationale behind identifying influential data is that when single units are omitted from the data, models based on these data should not produce substantially different estimates. To standardize the assessment of how influential a (single group of) observation(s) is, several measures of influence are common practice, such as Cook's Distance. In addition, we provide a measure of percentage change of the fixed point estimates and a simple procedure to detect changing levels of significance.
Author: Rense Nieuwenhuis [aut, cre] , Ben Pelzer [aut], Manfred Te Grotenhuis [aut]
Maintainer: Rense Nieuwenhuis <rense.nieuwenhuis@sofi.su.se>

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Package hdtg updated to version 0.3.4 with previous version 0.3.3 dated 2026-01-25

Title: Generate Samples from Multivariate Truncated Normal Distributions
Description: Efficient sampling from high-dimensional truncated Gaussian distributions, or multivariate truncated normal (MTN). Techniques include zigzag Hamiltonian Monte Carlo as in Akihiko Nishimura, Zhenyu Zhang and Marc A. Suchard (2024) <doi:10.1080/01621459.2024.2395587>, and harmonic Monte Carlo in Ari Pakman and Liam Paninski (2014) <doi:10.1080/10618600.2013.788448>.
Author: Zhenyu Zhang [aut, cre], Andrew Chin [aut], Akihiko Nishimura [aut], Marc A. Suchard [aut], John W. Ratcliff et al. [cph, ctb]
Maintainer: Zhenyu Zhang <zhangzhenyusa@gmail.com>

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Package gpboost updated to version 1.6.6 with previous version 1.6.5 dated 2026-01-08

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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Package DATAstudio updated to version 1.2.3 with previous version 1.2.2 dated 2026-02-06

Title: The Research Data Warehouse of Miguel de Carvalho
Description: Pulls together a collection of datasets from Miguel de Carvalho research articles and books. Including, for example: - de Carvalho (2012) <doi:10.1016/j.jspi.2011.08.016>; - de Carvalho et al (2012) <doi:10.1080/03610926.2012.709905>; - de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>); - de Carvalho and Davison (2014) <doi:10.1080/01621459.2013.872651>; - de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>; - de Carvalho et al (2023) <doi:10.1002/sta4.560>; - de Carvalho et al (2022) <doi:10.1007/s13253-021-00469-9>; - Palacios et al (2025) <doi:10.1214/24-BA1420>.
Author: Miguel de Carvalho [aut, cre]
Maintainer: Miguel de Carvalho <Miguel.deCarvalho@ed.ac.uk>

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Package dataSDA updated to version 0.1.8 with previous version 0.1.2 dated 2025-06-07

Title: Datasets and Basic Statistics for Symbolic Data Analysis
Description: Collects a diverse range of symbolic data and offers a comprehensive set of functions that facilitate the conversion of traditional data into the symbolic data format.
Author: Po-Wei Chen [aut], Chun-houh Chen [aut], Han-Ming Wu [cre]
Maintainer: Han-Ming Wu <wuhm@g.nccu.edu.tw>

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Package artma updated to version 0.3.3 with previous version 0.2.1 dated 2025-04-25

Title: Automatic Replication Tools for Meta-Analysis
Description: Provides a unified and straightforward interface for performing a variety of meta-analysis methods directly from user data. Users can input a data frame, specify key parameters, and effortlessly execute and compare multiple common meta-analytic models. Designed for immediate usability, the package facilitates transparent, reproducible research without manual implementation of each analytical method. Ideal for researchers aiming for efficiency and reproducibility, it streamlines workflows from data preparation to results interpretation.
Author: Petr ÄŒala [aut, cre]
Maintainer: Petr ÄŒala <61505008@fsv.cuni.cz>

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Package zarr updated to version 0.2.0 with previous version 0.1.1 dated 2025-12-06

Title: Native and Extensible R Driver for 'Zarr'
Description: The 'Zarr' specification is widely used to build libraries for the storage and retrieval of n-dimensional array data from data stores ranging from local file systems to the cloud. This package is a native 'Zarr' implementation in R with support for all required features of 'Zarr' version 3. It is designed to be extensible such that new stores, codecs and extensions can be added easily.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package SLmetrics (with last version 0.3-4) was removed from CRAN

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

2025-06-21 0.3-4
2025-03-18 0.3-3

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Package typeR updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-04

Title: Simulate Typing Script
Description: Simulates typing of R script files for presentations and demonstrations. Provides character-by-character animation with optional live code execution. Supports R scripts (.R), R Markdown (.Rmd), and Quarto (.qmd) documents.
Author: Federica Gazzelloni [aut, cre]
Maintainer: Federica Gazzelloni <fede.gazzelloni@gmail.com>

Diff between typeR versions 0.2.0 dated 2026-02-04 and 0.2.1 dated 2026-02-11

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Package starvz readmission to version 0.8.4 with previous version 0.8.3 dated 2025-06-18

Title: R-Based Visualization Techniques for Task-Based Applications
Description: Performance analysis workflow that combines the power of the R language (and the tidyverse realm) and many auxiliary tools to provide a consistent, flexible, extensible, fast, and versatile framework for the performance analysis of task-based applications that run on top of the StarPU runtime (with its MPI (Message Passing Interface) layer for multi-node support). Its goal is to provide a fruitful prototypical environment to conduct performance analysis hypothesis-checking for task-based applications that run on heterogeneous (multi-GPU, multi-core) multi-node HPC (High-performance computing) platforms.
Author: Lucas Mello Schnorr [aut, ths] , Vinicius Garcia Pinto [aut, cre] , Lucas Leandro Nesi [aut] , Marcelo Cogo Miletto [aut] , Guilherme Alles [ctb], Arnaud Legrand [ctb], Luka Stanisic [ctb], Remy Drouilhet [ctb]
Maintainer: Vinicius Garcia Pinto <vinicius.pinto@furg.br>

This is a re-admission after prior archival of version 0.8.3 dated 2025-06-18

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Package sffdr updated to version 1.1.0 with previous version 1.0.0 dated 2024-12-02

Title: Surrogate Functional False Discovery Rates for Genome-Wide Association Studies
Description: Pleiotropy-informed significance analysis of genome-wide association studies with surrogate functional false discovery rates (sfFDR). The sfFDR framework adapts the fFDR to leverage informative data from multiple sets of GWAS summary statistics to increase power in study while accommodating for linkage disequilibrium. sfFDR provides estimates of key FDR quantities in a significance analysis such as the functional local FDR and $q$-value, and uses these estimates to derive a functional $p$-value for type I error rate control and a functional local Bayes' factor for post-GWAS analyses (e.g., fine mapping and colocalization).
Author: Andrew Bass [aut, cre], Chris Wallace [aut]
Maintainer: Andrew Bass <ab3105@cam.ac.uk>

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Package openscoring updated to version 1.0.6 with previous version 1.0.4 dated 2024-08-24

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

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Package climenu updated to version 0.1.4 with previous version 0.1.3 dated 2026-02-06

Title: Interactive Command-Line Menus
Description: Provides interactive command-line menu functionality with single and multiple selection menus, keyboard navigation (arrow keys or vi-style j/k), preselection, and graceful fallback for non-interactive environments. Inspired by tools such as 'inquirer.js' <https://github.com/SBoudrias/Inquirer.js>, 'pick' <https://github.com/aisk/pick>, and 'survey' <https://github.com/AlecAivazis/survey>. Designed to be lightweight and easy to integrate into 'R' packages and scripts.
Author: Petr ÄŒala [aut, cre]
Maintainer: Petr ÄŒala <61505008@fsv.cuni.cz>

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Package bioLeak updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-06

Title: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
Description: Prevents and detects information leakage in biomedical machine learning. Provides leakage-resistant split policies (subject-grouped, batch-blocked, study leave-out, time-ordered), guarded preprocessing (train-only imputation, normalization, filtering, feature selection), cross-validated fitting with common learners, permutation-gap auditing, batch and fold association tests, and duplicate detection.
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package TreeTools updated to version 2.1.0 with previous version 2.0.0 dated 2025-09-23

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013, Lemant et al. 2022) <doi:10.1016/j.mbs.2012.10.005>, <doi:10.1093/sysbio/syac027>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <https://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph] , Robert Noble [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package scaledescr updated to version 0.2.0 with previous version 0.1.3 dated 2026-02-08

Title: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data
Description: Provides functions to format and summarise already computed outputs from commonly used statistical and psychometric functions into compact, single-row tables and simple graphs, with utilities to export results to CSV, Word, and Excel formats. The package does not implement new statistical methods or estimation procedures; instead, it organises and presents results obtained from existing functions such as psych::describe(), psych::alpha(), stats::t.test(), and gtsummary::tbl_summary() to streamline reporting workflows in clinical and psychological research.
Author: Darshankumar Dharaiya [aut, cre]
Maintainer: Darshankumar Dharaiya <dharaiya.darshan@gmail.com>

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Package Rparadox updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-05

Title: Read Paradox Database Files into R
Description: Provides a simple and efficient way to read data from Paradox database files (.db) directly into R as modern 'tibble' data frames. It uses the underlying 'pxlib' C library, to handle the low-level file format details and provides a clean, user-friendly R interface.
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>

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Package pkgstats updated to version 0.2.2 with previous version 0.2.1 dated 2025-12-09

Title: Metrics of R Packages
Description: Static code analyses for R packages using the external code-tagging libraries 'ctags' and 'gtags'. Static analyses enable packages to be analysed very quickly, generally a couple of seconds at most. The package also provides access to a database generating by applying the main function to the full 'CRAN' archive, enabling the statistical properties of any package to be compared with all other 'CRAN' packages.
Author: Mark Padgham [aut, cre] , Michael Sumner [ctb] , Jeffrey Hollister [ctb] , Egor Kotov [ctb]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package Transition updated to version 1.0.2 with previous version 1.0.1 dated 2025-08-29

Title: Characterise Transitions in Test Result Status in Longitudinal Studies
Description: Analyse data from longitudinal studies to characterise changes in values of semi-quantitative outcome variables within individual subjects, using high performance C++ code to enable rapid processing of large datasets. A flexible methodology is available for codifying these state transitions.
Author: Mark Eisler [aut, cre, cph] , Ana Rabaza [aut]
Maintainer: Mark Eisler <mark.eisler@bristol.ac.uk>

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Package LikertMakeR updated to version 1.4.0 with previous version 1.3.0 dated 2025-11-25

Title: Synthesise and Correlate Likert Scale and Rating-Scale Data Based on Summary Statistics
Description: Generate and correlate synthetic Likert and rating-scale data with predefined means, standard deviations, Cronbach's Alpha, Factor Loading table, coefficients, and other summary statistics. Worked examples and documentation are available in the package articles, accessible via the package website, <https://winzarh.github.io/LikertMakeR/>.
Author: Hume Winzar [cre, aut]
Maintainer: Hume Winzar <winzar@gmail.com>

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Package cdcatR updated to version 1.0.7 with previous version 1.0.6 dated 2022-05-25

Title: Cognitive Diagnostic Computerized Adaptive Testing
Description: Provides a set of functions for conducting cognitive diagnostic computerized adaptive testing applications (Chen, 2009) <DOI:10.1007/s11336-009-9123-2>). It includes different item selection rules such us the global discrimination index (Kaplan, de la Torre, and Barrada (2015) <DOI:10.1177/0146621614554650>) and the nonparametric selection method (Chang, Chiu, and Tsai (2019) <DOI:10.1177/0146621618813113>), as well as several stopping rules. Functions for generating item banks and responses are also provided. To guide item bank calibration, model comparison at the item level can be conducted using the two-step likelihood ratio test statistic by Sorrel, de la Torre, Abad and Olea (2017) <DOI:10.1027/1614-2241/a000131>.
Author: Miguel A. Sorrel [aut, cre, cph], Pablo Najera [aut, cph], Francisco J. Abad [aut, cph]
Maintainer: Miguel A. Sorrel <miguel.sorrel@uam.es>

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Package trust updated to version 0.1-9 with previous version 0.1-8 dated 2020-01-10

Title: Trust Region Optimization
Description: Does local optimization using two derivatives and trust regions. Guaranteed to converge to local minimum of objective function.
Author: Charles J. Geyer [aut, cre]
Maintainer: Charles J. Geyer <geyer@umn.edu>

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Package Rdistance updated to version 4.3.1 with previous version 4.3.0 dated 2026-01-09

Title: Density and Abundance from Distance-Sampling Surveys
Description: Distance-sampling (<doi:10.1007/978-3-319-19219-2>) is a field survey and analytical method that estimates density and abundance of survey targets (e.g., animals) when detection probability declines with observation distance. Distance-sampling is popular in ecology, especially when survey targets are observed from aerial platforms (e.g., airplane or drone), surface vessels (e.g., boat or truck), or along walking transects. Analysis involves fitting smooth (parametric) curves to histograms of observation distances and using those functions to adjust density estimates for missed targets. Routines included here fit curves to observation distance histograms, estimate effective sampling area, density of targets in surveyed areas, and the abundance of targets in a surrounding study area. Confidence interval estimation uses built-in bootstrap resampling. Help files are extensive and have been vetted by multiple authors. Many tutorials are available on the package's website (URL below).
Author: Trent McDonald [cre, aut], Jason Carlisle [aut], Aidan McDonald [aut] , Ryan Nielson [ctb] , Ben Augustine [ctb] , James Griswald [ctb] , Patrick McKann [ctb] , Lacey Jeroue [ctb] , Hoffman Abigail [ctb] , Kleinsausser Michael [ctb] , Joel Reynolds [ [...truncated...]
Maintainer: Trent McDonald <trent@mcdonalddatasciences.com>

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Package qol updated to version 1.2.1 with previous version 1.2.0 dated 2026-01-13

Title: Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs
Description: The main goal is to make descriptive evaluations easier to create bigger and more complex outputs in less time with less code. Introducing format containers with multilabels <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p06ciqes4eaqo6n0zyqtz9p21nfb.htm>, a more powerful summarise which is capable to output every possible combination of the provided grouping variables in one go <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p0jvbbqkt0gs2cn1lo4zndbqs1pe.htm>, tabulation functions which can create any table in different styles <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/n1ql5xnu0k3kdtn11gwa5hc7u435.htm> and other more readable functions. The code is optimized to work fast even with datasets of over a million observations.
Author: Tim Siebenmorgen [aut, cre, cph]
Maintainer: Tim Siebenmorgen <qol_package@proton.me>

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Package phyloraster readmission to version 2.3.0 with previous version 2.2.0 dated 2025-02-28

Title: Evolutionary Diversity Metrics for Raster Data
Description: Phylogenetic Diversity (PD, Faith 1992), Evolutionary Distinctiveness (ED, Isaac et al. 2007), Phylogenetic Endemism (PE, Rosauer et al. 2009; Laffan et al. 2016), and Weighted Endemism (WE, Laffan et al. 2016) for presence-absence raster. Faith, D. P. (1992) <doi:10.1016/0006-3207(92)91201-3> Isaac, N. J. et al. (2007) <doi:10.1371/journal.pone.0000296> Laffan, S. W. et al. (2016) <doi:10.1111/2041-210X.12513> Rosauer, D. et al. (2009) <doi:10.1111/j.1365-294X.2009.04311.x>.
Author: Gabriela Alves-Ferreira [aut, cre, cph] , Flavio M. M. Mota [aut] , Neander Marcel Heming [aut]
Maintainer: Gabriela Alves-Ferreira <gabriela-alves77@hotmail.com>

This is a re-admission after prior archival of version 2.2.0 dated 2025-02-28

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Package galah updated to version 2.2.0 with previous version 2.1.2 dated 2025-06-12

Title: Biodiversity Data from the GBIF Node Network
Description: The Global Biodiversity Information Facility ('GBIF', <https://www.gbif.org>) sources data from an international network of data providers, known as 'nodes'. Several of these nodes - the "living atlases" (<https://living-atlases.gbif.org>) - maintain their own web services using software originally developed by the Atlas of Living Australia ('ALA', <https://www.ala.org.au>). 'galah' enables the R community to directly access data and resources hosted by 'GBIF' and its partner nodes.
Author: Martin Westgate [aut, cre], Dax Kellie [aut], Shandiya Balasubramaniam [ctb], Matilda Stevenson [ctb]
Maintainer: Martin Westgate <martin.westgate@csiro.au>

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Package tspredit updated to version 1.2.767 with previous version 1.2.747 dated 2025-10-27

Title: Time Series Prediction with Integrated Tuning
Description: Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies. TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation. Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance. It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies. More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.
Author: Eduardo Ogasawara [aut, ths, cre] , Cristiane Gea [aut], Diego Carvalho [ctb], Diogo Santos [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Fernando Alexandrino [aut], Rebecca Salles [aut], Vitoria Birindiba [aut], CEFET/RJ [cp [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package evanverse updated to version 0.4.0 with previous version 0.3.7 dated 2025-10-21

Title: Utility Functions for Data Analysis and Visualization
Description: A comprehensive collection of utility functions for data analysis and visualization in R. The package provides 60+ functions for data manipulation, file handling, color palette management, bioinformatics workflows, statistical analysis, plotting, and package management. Features include void value handling, custom infix operators, flexible file I/O, and publication-ready visualizations with sensible defaults. Implementation follows tidyverse principles (Wickham et al. (2019) <doi:10.21105/joss.01686>) and incorporates best practices from the R community.
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Package tinytable updated to version 0.16.0 with previous version 0.15.2 dated 2025-12-21

Title: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats
Description: Create highly customized tables with this simple and dependency-free package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', or 'Typst' tables. The user interface is minimalist and easy to learn. The syntax is concise. 'HTML' tables can be customized using the flexible 'Bootstrap' framework, and 'LaTeX' code with the 'tabularray' package.
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between tinytable versions 0.15.2 dated 2025-12-21 and 0.16.0 dated 2026-02-11

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Package Rlab updated to version 4.5.1 with previous version 4.0 dated 2022-05-04

Title: Functions and Datasets Required for ST370 Class
Description: Provides functions and datasets required for the ST 370 course at North Carolina State University.
Author: Dennis D. Boos [aut], Douglas Nychka [aut], Dennis Boos [cre]
Maintainer: Dennis Boos <boos@ncsu.edu>

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Package poLCA updated to version 1.6.0.2 with previous version 1.6.0.1 dated 2022-04-25

Title: Polytomous Variable Latent Class Analysis
Description: Latent class analysis and latent class regression models for polytomous outcome variables. Also known as latent structure analysis.
Author: Drew Linzer [aut, cre], Jeffrey Lewis [aut]
Maintainer: Drew Linzer <drew@votamatic.org>

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Package lefko3 updated to version 6.7.2 with previous version 6.7.1 dated 2026-01-31

Title: Historical and Ahistorical Population Projection Matrix Analysis
Description: Complete analytical environment for the construction and analysis of matrix population models and integral projection models. Includes the ability to construct historical matrices, which are 2d matrices comprising 3 consecutive times of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. It also estimates function-based age-by-stage matrices and raw and function-based Leslie matrices.
Author: Richard P. Shefferson [aut, cre] , Johan Ehrlen [aut]
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

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Package jskm updated to version 0.6.1 with previous version 0.6.0 dated 2026-01-27

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

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Package GSE updated to version 4.2-4 with previous version 4.2-3 dated 2025-10-10

Title: Robust Estimation in the Presence of Cellwise and Casewise Contamination and Missing Data
Description: Robust Estimation of Multivariate Location and Scatter in the Presence of Cellwise and Casewise Contamination and Missing Data.
Author: Andy Leung [aut], Mike Danilov [aut], Victor Yohai [aut], Ruben Zamar [aut], Claudio Agostinelli [cre]
Maintainer: Claudio Agostinelli <claudio.agostinelli@unitn.it>

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Package epiR updated to version 2.0.90 with previous version 2.0.89 dated 2025-12-15

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package dtplyr updated to version 1.3.3 with previous version 1.3.2 dated 2025-09-10

Title: Data Table Back-End for 'dplyr'
Description: Provides a data.table backend for 'dplyr'. The goal of 'dtplyr' is to allow you to write 'dplyr' code that is automatically translated to the equivalent, but usually much faster, data.table code.
Author: Hadley Wickham [cre, aut], Maximilian Girlich [aut], Mark Fairbanks [aut], Ryan Dickerson [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package codemetar updated to version 0.3.7 with previous version 0.3.6 dated 2025-07-28

Title: Generate 'CodeMeta' Metadata for R Packages
Description: The 'Codemeta' Project defines a 'JSON-LD' format for describing software metadata, as detailed at <https://codemeta.github.io>. This package provides utilities to generate, parse, and modify 'codemeta.json' files automatically for R packages, as well as tools and examples for working with 'codemeta.json' 'JSON-LD' more generally.
Author: Carl Boettiger [aut, cre, cph] , Anna Krystalli [rev, ctb] , Toph Allen [rev] , Maelle Salmon [ctb, aut] , rOpenSci [fnd] , Katrin Leinweber [ctb] , Noam Ross [ctb] , Arfon Smith [ctb], Jeroen Ooms [ctb] , Sebastian Meyer [ctb] , Michael Rustler [ctb [...truncated...]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between codemetar versions 0.3.6 dated 2025-07-28 and 0.3.7 dated 2026-02-11

 DESCRIPTION                         |    6 +++---
 MD5                                 |   10 +++++-----
 NEWS.md                             |    4 +++-
 build/vignette.rds                  |binary
 inst/doc/codemetar.html             |    4 ++--
 tests/testthat/test-give_opinions.R |   29 +++++++++++++++++++++--------
 6 files changed, 34 insertions(+), 19 deletions(-)

More information about codemetar at CRAN
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