Thu, 22 Oct 2026

New package zufft with initial version 0.1.0
Package: zufft
Title: Fast Fourier, Cosine and Sine Transforms
Version: 0.1.0
Description: Computes discrete Fourier transforms (complex, real-to-complex and complex-to-real) and discrete cosine and sine transforms of types one to four over any axes of an array, with the fast Fourier transform (FFT) code of 'ducc0' (<https://github.com/mreineck/ducc>) bundled in the BSD-licensed subset that 'SciPy' uses. Transforms of any length run in O(n log n) time, real input uses true real transforms, and several threads can share one transform.
License: MIT + file LICENSE
URL: https://github.com/pedrobtz/zufft, https://pedrobtz.github.io/zufft/
BugReports: https://github.com/pedrobtz/zufft/issues
Depends: R (>= 4.1)
Suggests: fftwtools, knitr, parallel, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Copyright: See inst/COPYRIGHTS.
Encoding: UTF-8
Language: en-GB
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-10-13 21:42:17 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Martin Reinecke [ctb] , Peter Bell [ctb, cph] , Max-Planck-Society [cph] , Matteo Frigo [cph] , Massachusetts Institute of Technology [cph] , The TensorFlow Authors [cph] , SciPy Developers [cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 11:10:02 UTC

More information about zufft at CRAN
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New package zuexact with initial version 0.1.0
Package: zuexact
Title: Exactly Rounded Sums, Means and Dot Products
Version: 0.1.0
Description: Sums of double-precision numbers computed exactly and rounded once, so the result is the correctly rounded true sum and does not depend on the order of the elements, the platform, or whether R was built with long doubles. Built on the small and large superaccumulators of Neal (2015) <doi:10.48550/arXiv.1505.05571>. Provides exactly rounded sums, means, cumulative sums, dot products and norms, row, column and grouped sums, accumulators that can be built in pieces and merged across processes, and a registered 'C' interface for other packages.
License: MIT + file LICENSE
URL: https://pedrobtz.github.io/zuexact/, https://github.com/pedrobtz/zuexact
BugReports: https://github.com/pedrobtz/zuexact/issues
Depends: R (>= 4.1)
Suggests: gmp, knitr, parallel, PreciseSums, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
SystemRequirements: C99
NeedsCompilation: yes
Packaged: 2026-10-13 22:05:27 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Radford M. Neal [cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 11:20:02 UTC

More information about zuexact at CRAN
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Package reproducibleRchunks updated to version 1.2.1 with previous version 1.2.0 dated 2025-07-23

Title: Automated Reproducibility Checks for R Markdown Documents
Description: Provide reproducible R chunks in R Markdown document that automatically check computational results for reproducibility. This is achieved by creating json files storing metadata about computational results. A comprehensive tutorial to the package is available as preprint by Brandmaier & Peikert (2024, <doi:10.31234/osf.io/3zjvf>).
Author: Andreas M. Brandmaier [aut, cre], Aaron Peikert [ctb]
Maintainer: Andreas M. Brandmaier <andreas.brandmaier@medicalschool-berlin.de>

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Package gp3sequences updated to version 0.3.2 with previous version 0.3.0 dated 2026-08-23

Title: Transparent Analysis of Ordered Categorical Sequences
Description: Provides transparent, reproducible, and auditable tools for validating, preparing, encoding, summarising, comparing, modelling, and diagnosing ordered categorical sequence data. Supports explicit preprocessing policies, contiguous motifs and bounded subsequences, consensus and group comparisons, edit and transition distances, clustering and stability diagnostics, transition networks, higher-order models, categorical, mixture, multichannel, and covariate hidden Markov models, longitudinal panel workflows, time-varying models, design-aware inference, analysis contracts and provenance audits, and guarded adapters to specialist sequence-analysis packages.
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>

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Package gp3ml updated to version 0.3.2 with previous version 0.3.0 dated 2026-08-23

Title: Governance-First Predictive Modelling for 'Gazepoint' Research
Description: Provides governance-first infrastructure for leakage-resistant predictive modelling and validation using 'Gazepoint'-derived research data. Supports explicit task and role declarations, feature-provenance manifests, group-aware holdout splitting and repeated resampling, repository-aware fold evaluation, explicit governed tuning, nested grouped resampling, fold-local preprocessing, discrimination and calibration metrics, target-aligned uncertainty, external-validation and transportability reports, prediction-to-decision governance, target-aware conformal prediction, dataset-shift auditing, locked analysis plans, portable model artifacts, robustness diagnostics, environment provenance, research-object export, model cards, and reproducibility evidence. Intended only for explicitly observed, non-sensitive outcomes and declared scientific purposes. Use is prohibited for person identification, biometric authentication, health or protected-attribute inference, and direct or indirect inference [...truncated...]
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>

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New package geoecu with initial version 0.3.0
Package: geoecu
Title: Maps of the Provinces, Cantons and Parishes of Ecuador (Mapas de Provincias, Cantones y Parroquias del Ecuador)
Version: 0.3.0
Description: Provides the boundaries of the provinces, cantons and parishes of Ecuador as 'sf' objects, identified by the codes of the national political-administrative division (DPA, "División Político-Administrativa"), ready to be mapped and joined with health, epidemiological surveillance or other data. The three levels nest exactly and are offered in two resolutions: a light one for maps and dashboards and a detailed one for spatial analysis. The layers are derived from the free-access cartography of the Geographic Military Institute of Ecuador (IGM) <https://www.geoportaligm.gob.ec/portal/>, are downloaded on first use as 'GeoPackage' files and cached locally. Includes a catalogue of DPA codes, helpers to clean codes and place names, and tools to relocate the Galapagos Islands in national maps. Documentation is in Spanish.
License: MIT + file LICENSE
URL: https://github.com/f-slg/geoecu
BugReports: https://github.com/f-slg/geoecu/issues
Depends: R (>= 4.1.0)
Imports: sf, stats, tools, utils
Suggests: ggplot2, testthat (>= 3.0.0)
Encoding: UTF-8
Language: es
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-14 00:07:35 UTC; fabriciosalas
Author: Ronald Fabricio Salas Guerrero [aut, cre, cph]
Maintainer: Ronald Fabricio Salas Guerrero <fabriciosalasguerrero@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 11:30:02 UTC

More information about geoecu at CRAN
Permanent link

Package eyeprocess updated to version 0.12.1 with previous version 0.11.1 dated 2026-09-28

Title: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data
Description: Provides an extensible, vendor-neutral framework for importing, validating, harmonizing, transforming, visualizing, and modelling eye-tracking, pupillometry, behavioural, and biometric process data. The package uses explicit timebase and coordinate-space registries, preserves native fields and provenance, and offers first-class adapters for Gazepoint Analysis and Gazepoint Biometrics exports alongside generic and vendor-specific importers. Downstream tools support trial and area of interest reconstruction, signal-quality auditing, feature derivation, scanpath analysis, response-time and item-response workflows, and optional psychometric modelling engines. An integrated Gazepoint workflow produces quality-control evidence, media-trial reconstruction, plots, analysis-ready process tables, item response theory (IRT)-ready response structures, and reproducible reports. Brain Imaging Data Structure (BIDS) interoperability for eye-tracking and validation-release infrastructure support disk-b [...truncated...]
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>

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New package Applr with initial version 1.0.0
Package: Applr
Title: Visualize and Explain Linear Models
Version: 1.0.0
Description: Tools for visualizing and explaining linear models fit with lm(). Draws 2D slices of higher-dimensional models in base graphics and as a 'ggplot2' layer, offers an interactive 'plotly' 3D scatter with a fitted surface for two-predictor models, and renders model equations as plain text or 'LaTeX'.
License: MIT + file LICENSE
URL: https://saundersg.github.io/Applr/, https://github.com/saundersg/Applr
BugReports: https://github.com/saundersg/Applr/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.5.0), plotly, rlang, graphics, grDevices, grid, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-13 23:16:30 UTC; DELL
Author: Cameron McClellan [aut], James Beeson [aut, cre], Garrett Saunders [ths]
Maintainer: James Beeson <jamesbeeson01@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 11:20:09 UTC

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New package spifa with initial version 0.1.0
Package: spifa
Title: Bayesian Spatial Item Factor Analysis
Version: 0.1.0
Encoding: UTF-8
Description: Fits spatial item factor analysis models for binary responses, following Chacón-Montalván, E. A., Parry, L., Giorgi, E., Torres, P., Orellana, J. D. Y., Moraga, P., and Taylor, B. M. (2025) <doi:10.1214/25-AOAS2072>, using full Bayesian inference via adaptive Metropolis-Hastings within Gibbs sampling and auxiliary variables with a probit link function. The latent factors are modelled as the sum of a predictor effect, a multivariate Gaussian process capturing spatial dependence, and a multivariate non-spatial term, allowing users to fit and predict spatially-referenced constructs such as food insecurity or socioeconomic indices. Standard exploratory and confirmatory item factor analysis are supported as particular cases, simply by dropping the spatial structure.
License: GPL-3
URL: https://github.com/ErickChacon/spifa, https://ErickChacon.github.io/spifa/
Depends: R (>= 4.1.0)
BugReports: https://github.com/ErickChacon/spifa/issues
Imports: Rcpp (>= 0.12.13), RcppTN, tibble, dplyr, tidyr, sf, ggplot2, posterior, ggridges, patchwork
LinkingTo: Rcpp, RcppArmadillo, RcppTN
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mirt, gstat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-13 14:41:24 UTC; rstudio
Author: Erick A. Chacon-Montalvan [aut, cre] , Emanuele Giorgi [ctb], Benjamin M. Taylor [ctb]
Maintainer: Erick A. Chacon-Montalvan <erick.chaconmontalvan@wur.nl>
Repository: CRAN
Date/Publication: 2026-10-22 10:30:02 UTC

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New package progme with initial version 0.1.0
Package: progme
Title: Extended Progression Models for Repeated Measures
Version: 0.1.0
Description: Extended progression models for repeated measures in progressive disease clinical trials. Provides nonlinear mixed-effects progression models (linear, plateau, Emax, exponential decay), delayed treatment onset estimation by profile likelihood, joint longitudinal-survival models for informative dropout, competing-risks extensions, biomarker-informed adaptive dosing rules, and simulation-based power and sample-size calculation. The progression-model view of treatment effects, in which effects are characterised on the underlying disease trajectory rather than as additive shifts on the outcome scale, follows Raket (2022) <doi:10.1002/sim.9581>. The nonlinear mixed-effects machinery is built on the 'nlme' implementation described by Pinheiro and Bates (2000, ISBN 978-0-387-98957-0), and the joint modelling of longitudinal and time-to-event data follows Rizopoulos (2012, ISBN 978-1-4398-7286-4).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: nlme, survival, ggplot2, stats, graphics, utils
Suggests: rstan, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/MukulBijalwan/progme
BugReports: https://github.com/MukulBijalwan/progme/issues
NeedsCompilation: no
Packaged: 2026-10-13 13:47:08 UTC; Admin
Author: Mukul Bijalwan [aut, cre] , Gunjan Aggrwal [aut], Mukul Jain [aut]
Maintainer: Mukul Bijalwan <mukulbijalwan555@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 10:30:09 UTC

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New package nrMCmix with initial version 0.3
Package: nrMCmix
Title: Non-Reversible Markov Chains for Bayesian Mixture Models
Version: 0.3
Date: 2026-10-13
Description: Provides Bayesian inference for finite and infinite mixture models using Markov chain Monte Carlo (MCMC) methods. Supports Gaussian, multivariate Gaussian, Poisson, Binomial, and multivariate Bernoulli mixture kernels with different covariance structures and flexible prior specifications. Provides tools for data generation, posterior density evaluation, clustering and similarity analysis, and advanced MCMC sampling strategies, including reversible and non-reversible samplers: Ascolani et al. (2026) <doi:10.48550/arXiv.2510.03226>, informed proposals: Zanella (2020) <doi:10.1080/01621459.2019.1585255>, collapsed Gibbs sampling: Diebolt and Robert (1994) <doi:10.1111/j.2517-6161.1994.tb01985.x>, and split-and-merge samplers: Dahl and Newcomb (2021) <doi:10.1080/00949655.2021.1998502>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: base, coda, graphics, grDevices, fields, ggplot2, salso, Rcpp (>= 1.0.12), Rdpack, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, bmixture, datasets
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-13 16:00:28 UTC; paolomanildo
Author: Filippo Ascolani [aut] , Paolo Manildo [aut, cre] , Giacomo Zanella [aut]
Maintainer: Paolo Manildo <paolo.manildo@studenti.unipd.it>
Repository: CRAN
Date/Publication: 2026-10-22 10:40:02 UTC

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Package MIC updated to version 2.0.2 with previous version 2.0.1 dated 2026-07-21

Title: Analysis of Antimicrobial Minimum Inhibitory Concentration Data
Description: Analyse, plot, and tabulate antimicrobial minimum inhibitory concentration (MIC) data. Validate the results of an MIC experiment by comparing observed MIC values to a gold standard assay, in line with standards from the International Organization for Standardization (2021) <https://www.iso.org/standard/79377.html>.
Author: Alessandro Gerada [aut, cre, cph]
Maintainer: Alessandro Gerada <alessandro.gerada2@liverpool.ac.uk>

Diff between MIC versions 2.0.1 dated 2026-07-21 and 2.0.2 dated 2026-10-22

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Package ivo.table updated to version 0.8.0 with previous version 0.7.1 dated 2025-11-25

Title: Nicely Formatted Contingency Tables and Frequency Tables
Description: Nicely formatted frequency tables and contingency tables (1-way, 2-way, 3-way and 4-way tables), that can easily be exported to HTML or 'Office' documents. Designed to work with pipes.
Author: Mans Thulin [aut, cre], Kajsa Grind [aut], Stefan Furne [aut]
Maintainer: Mans Thulin <mans@statistikkonsult.com>

Diff between ivo.table versions 0.7.1 dated 2025-11-25 and 0.8.0 dated 2026-10-22

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New package fkr with initial version 0.1.0
Package: fkr
Title: Realistic Fake Data Generator for the Philippines
Version: 0.1.0
Description: Generates realistic, locale-aware synthetic data for the Philippines, covering both personal data (names, ages, birthdays, contact details, addresses, government-ID-style numbers) and business data (company names, industries, job titles, products, prices, and permit numbers). Every value, including anything formatted to resemble a government identifier, is drawn uniformly at random for software testing, prototyping, and teaching, and does not correspond to any real person, business, or record.
License: MIT + file LICENSE
URL: https://github.com/yng-me/fkr
BugReports: https://github.com/yng-me/fkr/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, phscs, psgc
Suggests: curl, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-13 16:21:36 UTC; bhasabdulsamad
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 10:40:07 UTC

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Package eq5dsuite updated to version 2.1.0 with previous version 2.0.0 dated 2026-05-14

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

Diff between eq5dsuite versions 2.0.0 dated 2026-05-14 and 2.1.0 dated 2026-10-22

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Package doconv updated to version 0.4.2 with previous version 0.4.0 dated 2026-02-14

Title: Document Conversion to 'PDF', Thumbnails and Visual Testing
Description: Provides the ability to generate images from documents of different types. Three main features are provided: generating document thumbnails, performing visual tests of documents, and updating fields and tables of contents of a 'Microsoft Word' or 'RTF' document. 'Microsoft Office' ('Word', 'PowerPoint', 'Excel') and/or 'LibreOffice' must be installed on the machine. If 'Microsoft Office' is available, it can produce PDF documents or images identical to the originals; otherwise 'LibreOffice' is used and the rendering may sometimes differ from the original documents.
Author: David Gohel [aut, cre], ArData [cph], David Hajage [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between doconv versions 0.4.0 dated 2026-02-14 and 0.4.2 dated 2026-10-22

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Package visATC updated to version 1.1.0 with previous version 1.0.0 dated 2026-09-22

Title: Visualise the Anatomical Therapeutic Chemical (ATC) Hierarchy
Description: Visualisation and subsetting of the World Health Organisation Anatomical Therapeutic Chemical (ATC) classification system.
Author: J Matthews [aut, cre, cph]
Maintainer: J Matthews <jnmatt212@gmail.com>

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Package svyROC updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-14

Title: Estimation of the ROC Curve and the AUC for Complex Survey Data
Description: Estimate the receiver operating characteristic (ROC) curve, area under the curve (AUC) and optimal cut-off points for individual classification taking into account complex sampling designs when working with complex survey data. Methods implemented in this package are described in: A. Iparragirre, I. Barrio, I. Arostegui (2024) <doi:10.1002/sta4.635>; A. Iparragirre, I. Barrio, J. Aramendi, I. Arostegui (2022) <doi:10.2436/20.8080.02.121>; A. Iparragirre, I. Barrio (2024) <doi:10.1007/978-3-031-65723-8_7>.
Author: Amaia Iparragirre [aut, cre, cph] , Irantzu Barrio [aut], Inmaculada Arostegui [aut]
Maintainer: Amaia Iparragirre <amaia.iparragirre@ehu.eus>

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Permanent link

New package rjd3bridge with initial version 0.1.0
Package: rjd3bridge
Title: Bridge Between 'RJDemetra' (V2) and 'rjd3' (V3)
Version: 0.1.0
Description: Provides bidirectional tools to convert seasonal adjustment models and specifications between 'RJDemetra' ('JDemetra+' v2) and the 'rjd3' ecosystem ('JDemetra+' v3, packages 'rjd3x13' and 'rjd3tramoseats'). Facilitates workflow migration and backward compatibility analysis.
Depends: R (>= 4.1.0)
Imports: rJava, RJDemetra (>= 0.2.7), rjd3toolkit(>= 3.3.0), rjd3x13 (>= 3.3.0), rjd3tramoseats (>= 3.3.0), rjd3jars (>= 0.0.5)
URL: https://github.com/AQLT/rjd3bridge, https://aqlt.github.io/rjd3bridge/
BugReports: https://github.com/AQLT/rjd3bridge/issues
SystemRequirements: Java (>= 17)
License: EUPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-13 10:02:24 UTC; aquartier-la-tente01
Author: Alain Quartier-la-Tente [aut, cre, cph]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>
Repository: CRAN
Date/Publication: 2026-10-22 10:00:02 UTC

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Package opentimsr readmission to version 1.2.0 with previous version 1.0.13 dated 2022-03-29

Title: An Open-Source Loader for Bruker's timsTOF Data Files
Description: Reads raw data from Bruker's timsTOF mass spectrometers, stored in analysis.tdf and analysis.tdf_bin files inside .d folders. Frames can be selected by number or by retention time, and each peak is reported with its scan, time-of-flight index, intensity, mass-to-charge ratio and inverse ion mobility. Mass-to-charge ratios and ion mobilities are computed with built-in open-source calibration, or optionally with Bruker's proprietary library. See Łącki et al. (2021) <doi:10.1021/acs.jproteome.0c00962>.
Author: Michal Piotr Startek [aut, cph] , Mateusz Krzysztof Lacki [aut, cre, cph] , mandreyel [ctb, cph] )
Maintainer: Mateusz Krzysztof Lacki <matteo.lacki@gmail.com>

This is a re-admission after prior archival of version 1.0.13 dated 2022-03-29

Diff between opentimsr versions 1.0.13 dated 2022-03-29 and 1.2.0 dated 2026-10-22

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More information about opentimsr at CRAN
Permanent link

Package biomod2 updated to version 4.3-4-8 with previous version 4.3-4-7 dated 2026-10-08

Title: Ensemble Platform for Species Distribution Modeling
Description: Functions for species distribution modelling, to calibrate, evaluate, and project species-environment relationships across space and time using multiple modelling algorithms and ensemble forecasting. It accommodates diverse ecological data types (presence-only, presence-absence, counts, multi-class abundance, or relative/absolute abundance) within a unified modelling workflow which includes cross-validation schemes, pseudo-absence selection strategies, expanded model parametrization options, a dozen of algorithms, and tools for exploring and visualizing outputs.
Author: Maya Gueguen [aut, cre] , Helene Blancheteau [aut], Remi Lemaire-Patin [aut], Wilfried Thuiller [aut]
Maintainer: Maya Gueguen <maya.gueguen@univ-grenoble-alpes.fr>

Diff between biomod2 versions 4.3-4-7 dated 2026-10-08 and 4.3-4-8 dated 2026-10-22

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More information about biomod2 at CRAN
Permanent link

Package mariposa updated to version 0.7.4 with previous version 0.7.3 dated 2026-09-28

Title: 'SPSS'-Compatible Statistical Tools for Survey Data
Description: Statistical analysis of survey data with full support for survey weights, grouped operations, and 'tidyverse' integration. Provides 80 functions for data import/export ('SPSS', 'Stata', 'SAS', 'Excel') with label roundtripping and tagged NA preservation, label management (variable labels, value labels, type conversions, missing value declaration), data transformation (recoding, dummy coding, standardization, centering), descriptive statistics, codebook generation, hypothesis testing, correlation analysis, post-hoc comparisons, weighted statistics, scale analysis, regression, non-parametric tests, exact tests, factorial ANOVA, and ANCOVA. Every analysis offers compact print() and detailed summary() output with toggleable sections. Statistical results are checked against reference output of 'SPSS' version 29 (see the compatibility vignette for the status of each function). Methods follow the published algorithms of IBM Corp. (2023, "IBM SPSS Statistics Algorithms"), the Lilliefors-correc [...truncated...]
Author: Yannick Diehl [aut, cre]
Maintainer: Yannick Diehl <yannick.diehl@gmail.com>

Diff between mariposa versions 0.7.3 dated 2026-09-28 and 0.7.4 dated 2026-10-22

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More information about mariposa at CRAN
Permanent link

Package rzig updated to version 1.0.0 with previous version 0.2.3 dated 2026-09-12

Title: Safe Zig Bindings
Description: Scaffolds packages backed by Zig and generates a safe native boundary for plain Zig functions. The generated integration converts objects at the language boundary, registers native routines, propagates errors, and compiles across platforms without requiring C++. Each step of the workflow is a function: locating a supported Zig compiler, scaffolding the package, scanning the Zig source for exported functions, rendering and writing the bindings, checking the package before compilation, and building it with the compiler errors reported by file and line. The scan, the checks and the generated bindings are pure R; a Zig compiler is needed only to build a package created with the scaffold.
Author: Marek Deja [aut, cre]
Maintainer: Marek Deja <marek.deja@uj.edu.pl>

Diff between rzig versions 0.2.3 dated 2026-09-12 and 1.0.0 dated 2026-10-22

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Package echos updated to version 1.0.5 with previous version 1.0.4 dated 2026-06-15

Title: Echo State Networks for Time Series Modeling and Forecasting
Description: Provides a lightweight implementation of functions and methods for fast and fully automatic time series modeling and forecasting using Echo State Networks (ESNs).
Author: Alexander Haeusser [aut, cre, cph]
Maintainer: Alexander Haeusser <alexander-haeusser@gmx.de>

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Package barry updated to version 0.3.0 with previous version 0.2.2 dated 2026-07-22

Title: Your Go-to Motif Accountant
Description: Provides the 'C++' header-only library 'barry' for use in R packages. 'barry' is a 'C++' template library for counting sufficient statistics on binary arrays and building discrete exponential-family models. It provides tools for sparse arrays, user-defined count statistics, support set constraints, power set generation, and includes modules for Discrete Exponential Family Models (DEFMs) and network statistics. By placing these headers in this package, we offer an efficient distribution system for CRAN as replication of this code in the sources of other packages is avoided. This package follows the same approach as the 'BH' package which provides 'Boost' headers for R packages.
Author: George Vega Yon [aut, cre] , U.S. Army Medical Research Acquisition Activity [fnd] , National Cancer Institute [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

Diff between barry versions 0.2.2 dated 2026-07-22 and 0.3.0 dated 2026-10-22

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Permanent link

Package querychat (with last version 0.4.1) was removed from CRAN

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

2026-09-30 0.4.1
2026-09-13 0.4.0
2026-06-01 0.3.0
2026-01-12 0.2.0

Permanent link
Package iadf (with last version 0.1.3) was removed from CRAN

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

2025-01-31 0.1.3
2021-05-24 0.1.2
2020-03-26 0.1.1
2017-06-06 0.1.0

Permanent link
Package ulex (with last version 0.1.1) was removed from CRAN

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

2026-02-13 0.1.1
2024-06-17 0.1.0

Permanent link
Package netdiffuseR updated to version 1.25.1 with previous version 1.25.0 dated 2026-04-10

Title: Analysis of Diffusion and Contagion Processes on Networks
Description: Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN: 9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011) <DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.
Author: George Vega Yon [aut, cre] , Thomas Valente [aut, cph] , Anibal Olivera Morales [aut, ctb] , Stephanie Dyal [ctb] , Timothy Hayes [ctb]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

Diff between netdiffuseR versions 1.25.0 dated 2026-04-10 and 1.25.1 dated 2026-10-22

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Package glymotif updated to version 1.0.1 with previous version 1.0.0 dated 2026-10-07

Title: Extract Glycan Motifs from Glycan Structures
Description: Identify, count, and match recurring substructures in glycan structures. Supports concrete and generic monosaccharide matching, several structural alignment modes, node-to-node mappings, and batch analysis using subgraph isomorphism. Includes curated motif annotations derived from the 'GlycoMotif' resource <https://glycomotif.glyomics.org/>. Integrates with 'glyrepr' and 'glyparse' for structural glycomics workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glymotif versions 1.0.0 dated 2026-10-07 and 1.0.1 dated 2026-10-22

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