Thu, 22 Oct 2026

Package openEBGM updated to version 0.11.0 with previous version 0.10.0 dated 2026-09-03

Title: EBGM Disproportionality Scores for Adverse Event Data Mining
Description: An implementation of DuMouchel's (1999) <doi:10.1080/00031305.1999.10474456> Bayesian data mining method for the market basket problem. Calculates Empirical Bayes Geometric Mean (EBGM) and posterior quantile scores using the Gamma-Poisson Shrinker (GPS) model to find unusually large cell counts in large, sparse contingency tables. Can be used to find unusually high reporting rates of adverse events associated with products. In general, can be used to mine any database where the co-occurrence of two variables or items is of interest. Also calculates relative and proportional reporting ratios. Builds on the work of the 'PhViD' package, from which much of the code is derived. Some of the added features include stratification to adjust for confounding variables and data squashing to improve computational efficiency. Includes an implementation of the EM algorithm for hyperparameter estimation loosely derived from the 'mederrRank' package.
Author: John Ihrie [cre, aut], Travis Canida [aut], Ismail Ahmed [ctb] ), Antoine Poncet [ctb] , Sergio Venturini [ctb] ), Jessica Myers [ctb]
Maintainer: John Ihrie <John.Ihrie@fda.hhs.gov>

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Package mixedbiastest updated to version 1.1.0 with previous version 1.0.3 dated 2026-09-18

Title: Bias Diagnostic for Linear Mixed Models
Description: Provides a function to perform bias diagnostics on linear mixed models fitted with lmer() from the 'lme4' package. Compares an internal random-effects alignment diagnostic with a fitted permutation reference distribution, following Karl and Zimmerman (2021) <doi:10.1016/j.jspi.2020.06.004>. Conditional response-refit simulations separately record random-effects alignment and residual-weight contributions to estimation error. Karl and Zimmerman (2020) <doi:10.17632/tmynggddfm.1> provide R code for implementing the test using 'mvglmmRank' output. Development and review were assisted by 'GPT o1-preview', 'GPT 5 Pro', and 'GPT6 Astra'; the author is responsible for the code and its interpretation.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package GPvam updated to version 3.4-0 with previous version 3.3-0 dated 2026-09-18

Title: Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling
Description: An EM algorithm, Karl et al. (2013) <doi:10.1016/j.csda.2012.10.004>, estimates generalized, reduced generalized, variable, complete, and zero persistence models by maximum likelihood or restricted maximum likelihood (the default). These are multiple-membership linear mixed models with teachers modeled as "G-side" effects and students modeled with either "G-side" or "R-side" effects; see Mariano et al. (2010) <doi:10.3102/1076998609346967>.
Author: Andrew Karl [cre, aut] , Yan Yang [aut], Sharon Lohr [aut]
Maintainer: Andrew Karl <akarl@asu.edu>

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Package asciiSetupReader updated to version 3.0.0 with previous version 2.6.0 dated 2026-10-17

Title: Reads Fixed-Width ASCII Data Files (.txt or .dat) that Have Accompanying Setup Files (.sps or .sas)
Description: Lets you open a fixed-width ASCII file (.txt or .dat) that has an accompanying setup file (.sps or .sas). These file combinations are sometimes referred to as .txt+.sps, .txt+.sas, .dat+.sps, or .dat+.sas. This will only run in a txt-sps or txt-sas pair in which the setup file contains instructions to open that text file. It will NOT open other text files, .sav, .sas, or .por data files. Fixed-width ASCII files with setup files are common in older (pre-2000) government data.
Author: Jacob Kaplan [aut, cre]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

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Package aiDIF updated to version 0.3.0 with previous version 0.2.0 dated 2026-09-05

Title: Differential Item Functioning for AI-Scored Assessments
Description: Detects and quantifies differential item functioning (DIF) in AI-scored educational and psychological assessments. Provides a fully self-contained robust DIF engine (M-estimation via iteratively re-weighted least squares with the bi-square loss), cross-checked against the reference implementation in 'robustDIF', alongside the Differential AI Scoring Bias (DASB) test, which detects item-level scoring shifts that differ across subgroups when comparing human and AI scoring conditions. Supports independent and paired scoring designs, including a bootstrap estimator of the cross-condition covariance that paired designs require, a one-call workflow from raw item scores through 'mirt' calibration, robust linking of the cross-condition contrast, bootstrap standard errors, multiplicity control, simulation of paired human and AI item scores, anchor weight diagnostics, and an AI-effect classification framework. Methods follow Halpin (2024) <doi:10.1007/s11336-024-09957-6>.
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>

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Package salso updated to version 0.3.80 with previous version 0.3.79 dated 2026-09-24

Title: Search Algorithms and Loss Functions for Bayesian Clustering
Description: The SALSO algorithm is an efficient randomized greedy search method to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. The algorithm is implemented for many loss functions, including the Binder loss and a generalization of the variation of information loss, both of which allow for unequal weights on the two types of clustering mistakes. Efficient implementations are also provided for Monte Carlo estimation of the posterior expected loss of a given clustering estimate. See Dahl, Johnson, Müller (2022) <doi:10.1080/10618600.2022.2069779>.
Author: David B. Dahl [aut, cre] , Devin J. Johnson [aut] , Peter Mueller [aut], Andres Felipe Barrientos [aut], Garritt Page [aut], David Dunson [aut], Authors of the dependency Rust crates [ctb]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package rTARDIS updated to version 2.1.2 with previous version 2.1.1 dated 2026-10-21

Title: Terrains and Routes Directed in Spacetime
Description: Implements classes and methods for constructing and analysing graph representations of complex geographic spaces at local to global scales, particularly where accessible spaces are discontinuously distributed but retain connectivity (e.g., island systems where isolation is prevalent but not necessarily absolute), and where that distribution also changes through time (e.g., habitat patch fragmentation or plate tectonic drift). The package (originally named TARDIS) was first described and published in: Flannery-Sutherland, J., Elsler, A., Farnsworth, A., Lunt, D., Benton, M. (2025) <doi:10.1038/s41559-025-02739-y>.
Author: Joe Flannery-Sutherland [aut, cre]
Maintainer: Joe Flannery-Sutherland <josephflannerysutherland@gmail.com>

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Package mapnhanespa updated to version 0.3.0 with previous version 0.2.0 dated 2026-08-21

Title: Map Quantiles for Physical Activity from 'NHANES'
Description: Maps physical activity from the National Health and Nutrition Examination Survey ('NHANES') study into population-based quantiles, using the NHANES 2011-2014 step count and physical activity summaries described in Koffman, Crainiceanu, and Muschelli (2025) <doi:10.1249/MSS.0000000000003616>, with minute-level data from Koffman and Muschelli (2025) <doi:10.13026/9n0r-tv02>.
Author: John Muschelli [aut, cre] , Lily Koffman [aut]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package ggmlR updated to version 0.8.8.1 with previous version 0.8.8 dated 2026-10-20

Title: 'GGML' Tensor Operations for Machine Learning
Description: Provides 'R' bindings to the 'GGML' tensor library for machine learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU fallback. The package features a 'Keras'-like sequential API and a 'PyTorch'-style 'autograd' engine for building, training, and deploying neural networks. Key capabilities include high-performance 5D tensor operations, 'f16' precision, and efficient quantization. It supports native 'ONNX' model import (50+ operators) and 'GGUF' weight loading from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for zero-overhead inference via dedicated weight buffering, it integrates seamlessly as a 'parsnip' engine for 'tidymodels' and provides first-class learners for the 'mlr3' framework. See <https://github.com/ggml-org/ggml> for more information about the underlying library.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [ctb, cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , Mozilla Foundation [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package geoecu updated to version 0.4.0 with previous version 0.3.0 dated 2026-10-22

Title: Maps of the Provinces, Cantons and Parishes of Ecuador (Mapas de Provincias, Cantones y Parroquias del Ecuador)
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 open data of the Territorial Organization of the State published by the National Committee of Internal Boundaries (CONALI, Ministry of Government of Ecuador) under a CC BY licence <https://www.datosabiertos.gob.ec/>, and are downloaded on first use as 'GeoPackage' files, verified and cached locally. Includes a catalogue of DPA codes, a table to update codes from earlier versions, helpers to clean codes and place names, and tools to relocate the Galapagos Islands in national maps. Documentation is in Spanish.
Author: Ronald Fabricio Salas Guerrero [aut, cre, cph]
Maintainer: Ronald Fabricio Salas Guerrero <fabriciosalasguerrero@gmail.com>

Diff between geoecu versions 0.3.0 dated 2026-10-22 and 0.4.0 dated 2026-10-22

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Package eurlex updated to version 0.5.1 with previous version 0.5.0 dated 2026-07-08

Title: Retrieve Data on European Union Law
Description: Access to data on European Union laws and court decisions made easy with pre-defined 'SPARQL' queries and 'GET' requests. See Ovadek (2021) <doi:10.1080/2474736X.2020.1870150> .
Author: Michal Ovadek [aut, cre, cph]
Maintainer: Michal Ovadek <michal.ovadek@gmail.com>

Diff between eurlex versions 0.5.0 dated 2026-07-08 and 0.5.1 dated 2026-10-22

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Package lava updated to version 1.10 with previous version 1.9.3 dated 2026-08-20

Title: Latent Variable Models
Description: A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
Author: Klaus K. Holst [aut, cre], Benedikt Sommer [ctb], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

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Package LOST updated to version 2.1.5 with previous version 2.1.4 dated 2026-07-14

Title: Missing Morphometric Data Simulation and Estimation
Description: Functions for simulating missing morphometric data randomly, with taxonomic bias and with anatomical bias. LOST also includes functions for estimating linear and geometric morphometric data.
Author: J. Arbour [aut, cre], C. Brown [aut]
Maintainer: J. Arbour <jessica.arbour@mtsu.edu>

Diff between LOST versions 2.1.4 dated 2026-07-14 and 2.1.5 dated 2026-10-22

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Package gp3tools updated to version 2.4.2 with previous version 2.3.0 dated 2026-08-21

Title: Import, Inspect, Analyse, and Report Gazepoint GP3 Exports
Description: Tools for importing, inspecting, cleaning, summarising, modelling, and reporting Gazepoint GP3 and Gazepoint Analysis CSV exports. The package supports offline workflows for all-gaze, fixation, pupil, area-of-interest, transition, time-course, quality-audit, and manuscript-reporting analyses. The package methodology is described in the peer-reviewed software paper <doi:10.3390/jemr19040076>.
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>

Diff between gp3tools versions 2.3.0 dated 2026-08-21 and 2.4.2 dated 2026-10-22

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 R/aoi_entropy.R                                                                      |  388 
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Package pathling updated to version 10.0.0 with previous version 9.9.0 dated 2026-09-02

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

Diff between pathling versions 9.9.0 dated 2026-09-02 and 10.0.0 dated 2026-10-22

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Package GeometricMorphometricsMix updated to version 0.6.1.3 with previous version 0.6.1.1 dated 2026-04-17

Title: Heterogeneous Methods for Shape and Other Multidimensional Data
Description: Tools for geometric morphometric analyses and multidimensional data. Implements methods for morphological disparity analysis using bootstrap and rarefaction, as reviewed in Foote (1997) <doi:10.1146/annurev.ecolsys.28.1.129>. Includes integration and modularity testing, following Fruciano et al. (2013) <doi:10.1371/journal.pone.0069376>, using Escoufier's RV coefficient as test statistic as well as two-block partial least squares - PLS, Rohlf and Corti (2000) <doi:10.1080/106351500750049806>. Also includes vector angle comparisons, orthogonal projection for data correction (Burnaby (1966) <doi:10.2307/2528217>; Fruciano (2016) <doi:10.1007/s00427-016-0537-4>), and parallel analysis for dimensionality reduction (Buja and Eyuboglu (1992) <doi:10.1207/s15327906mbr2704_2>).
Author: Carmelo Fruciano [aut, cre]
Maintainer: Carmelo Fruciano <carmelo.fruciano@unict.it>

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Package DRDID updated to version 1.4.0 with previous version 1.3.0 dated 2026-06-10

Title: Doubly Robust Difference-in-Differences Estimators
Description: Implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome regression estimators (also implemented in the package) to form estimators with more attractive statistical properties. Two different estimation methods can be used to estimate the nuisance functions.
Author: Pedro H. C. Sant'Anna [aut, cre, cph], Jun Zhao [aut]
Maintainer: Pedro H. C. Sant'Anna <pedrohcgs@gmail.com>

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Permanent link

Package phylospatial updated to version 1.6.0 with previous version 1.5.0 dated 2026-10-01

Title: Spatial Phylogenetic Analysis
Description: Analyze spatial phylogenetic diversity patterns. Use your data on an evolutionary tree and geographic distributions of the terminal taxa to compute diversity and endemism metrics, test significance with null model randomization, analyze community turnover and biotic regionalization, and perform spatial conservation prioritizations. All functions support quantitative community data in addition to binary data.
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>

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Package partykit updated to version 1.3-1 with previous version 1.3-0 dated 2026-08-22

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] , Heidi Seibold [ctb] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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More information about partykit at CRAN
Permanent link

Package mc2d updated to version 0.3.0 with previous version 0.2.2 dated 2026-06-01

Title: Tools for Two-Dimensional Monte-Carlo Simulations
Description: A complete framework to build and study Two-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlo simulations. Also includes various distributions (pert, triangular, Bernoulli, empirical discrete and continuous).
Author: Regis Pouillot [aut, cre] , Marie-Laure Delignette-Muller [ctb] , Jean-Baptiste Denis [ctb], Yu Chen [ctb], Arie Havelaar [ctb]
Maintainer: Regis Pouillot <rpouillot@yahoo.fr>

Diff between mc2d versions 0.2.2 dated 2026-06-01 and 0.3.0 dated 2026-10-22

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Package rddtools updated to version 2.0.3 with previous version 2.0.2 dated 2025-10-29

Title: Toolbox for Regression Discontinuity Design ('RDD')
Description: Set of functions for Regression Discontinuity Design ('RDD'), for data visualisation, estimation and testing.
Author: Matthieu Stigler [aut, cre] , Bastiaan Quast [aut]
Maintainer: Matthieu Stigler <Matthieu.Stigler@gmail.com>

Diff between rddtools versions 2.0.2 dated 2025-10-29 and 2.0.3 dated 2026-10-22

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New package umg with initial version 0.6.1
Package: umg
Title: Unified Model Graphs for Statistical Models in Psychology
Version: 0.6.1
Description: Constructs, validates, lays out, and renders Unified Model Graphs (UMG), a formal graphical grammar for statistical models in psychology. Vertices are typed by observability, support, and inferential role; edges distinguish stochastic, symmetric, deterministic, and mixing dependence; plates encode replication and hierarchy. Diagrams can be themed and rendered with base 'grid' graphics, with 'ggplot2', as 'TikZ' code, or as 'Graphviz' DOT, and can be constructed either from one-line motif builders for many model families or automatically from 'lavaan', 'lme4', 'mirt', 'blavaan', 'brms', 'OpenMx', and 'qgraph' model objects. A diagram can be inspected as a data frame, summarised, and exported back to 'lavaan' model syntax, making the model-diagram correspondence operational in both directions. Each diagram also exposes identification diagnostics (scaling checks, a graphical counting rule, and a d-separation reader) and generates the exploratory display scaffolds implied by the model-data [...truncated...]
License: MIT + file LICENSE
URL: https://hsiutingyu.github.io/umg/, https://github.com/hsiutingyu/umg
BugReports: https://github.com/hsiutingyu/umg/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: grid, grDevices, stats, tools, utils
Suggests: lavaan, lme4, mirt, blavaan, brms, OpenMx, qgraph, ggplot2, DiagrammeR, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-14 10:07:50 UTC; Hsiu-TingYu
Author: Hsiu-Ting Yu [aut, cre]
Maintainer: Hsiu-Ting Yu <hsiutingyu@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:10:02 UTC

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New package twoPhaseSens with initial version 0.1.0
Package: twoPhaseSens
Title: Sensitivity Analysis for Covariates Observed in Two-Phase Samples
Version: 0.1.0
Description: Provides a structured method-comparison sensitivity-analysis workflow for linear regression when important continuous adjustment covariates are observed only in a Phase-2 subsample. Implements naive analysis, complete-case analysis, fully conditional specification multiple imputation, joint-model multiple imputation, inverse probability weighting, and augmented inverse probability weighting, with standardized tables, diagnostics, and publication-style forest plots. Methodological background is provided by Little and Rubin (2019) <doi:10.1002/9781119482260> for general missing-data methods, White and Carlin (2010) <doi:10.1002/sim.3944> for complete-case analysis with missing covariates, White, Royston and Wood (2011) <doi:10.1002/sim.4067> and van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03> for chained-equations multiple imputation, Quartagno, Grund and Carpenter (2019) <doi:10.32614/RJ-2019-028> for joint-model multiple imputation, R [...truncated...]
License: MIT + file LICENSE
URL: https://rophenceojiambo.github.io/twoPhaseSens/, https://github.com/rophenceojiambo/twoPhaseSens
BugReports: https://github.com/rophenceojiambo/twoPhaseSens/issues
Encoding: UTF-8
Imports: ggplot2, gtsummary (>= 2.0.0), jomo, mice, rlang, tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-14 14:26:41 UTC; runner
Author: Rophence Ojiambo [aut, cre] , Jemar Bather [aut]
Maintainer: Rophence Ojiambo <rophence.ojiambo@nyu.edu>
Repository: CRAN
Date/Publication: 2026-10-22 16:50:02 UTC

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New package SNPAssayR with initial version 1.0.1
Package: SNPAssayR
Title: SNP Genotyping Assay Design and Visualization
Version: 1.0.1
Description: Designs cleaved amplified polymorphic sequence (CAPS), derived CAPS (dCAPS), conventional amplification refractory mutation system (ARMS) and tetra-primer ARMS assays for single-locus, biallelic single nucleotide polymorphisms. Evaluates sequence-compatible primer binding, reconstructs ideal polymerase chain reaction products and computes theoretical complete restriction digestion and conditional genotype profiles. Transparent preference ranking, scientific visualizations and reproducible exports retain assumptions, missing specificity evidence and bounded search limitations. An optional offline 'shiny' interface uses the independently available analysis functions. Predictions do not establish experimental amplification, digestion efficiency or genome-wide specificity. Implements perfect-match nearest-neighbor thermodynamics from SantaLucia (1998) <doi:10.1073/pnas.95.4.1460>, single-substitution site-creation dCAPS based on Neff et al. (1998) <doi:10.1046/j.1365-313X.1998.001 [...truncated...]
License: GPL-3
Copyright: ICAR-Indian Institute of Rapeseed-Mustard Research (ICAR-IIRMR)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.2.1), shiny (>= 1.8.0), bslib (>= 0.6.1)
NeedsCompilation: no
Packaged: 2026-10-13 15:06:31 UTC; root
Author: Prashant Yadav [aut, cre] , Vinod Kumar [aut] , Vijay Veer Singh [aut] , ICAR-Indian Institute of Rapeseed-Mustard Research [cph]
Maintainer: Prashant Yadav <prashantnduat@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:20:02 UTC

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New package RDML7 with initial version 1.0.2
Package: RDML7
Title: Read, Write, Validate, and Analyze Real-Time PCR Data in the 'RDML' Format
Version: 1.0.2
Date: 2026-10-14
Encoding: UTF-8
Description: Reads, writes, validates, converts, and manipulates quantitative polymerase chain reaction (qPCR) data through the Real-Time PCR Data Markup Language ('RDML') application programming interface (API), using 'S7' objects. Includes an extensible file-format registry, vendor and tabular-data importers, 'RDES' import and export, fluorescence-table helpers, semantic validation, and compatibility wrappers for the historical 'RDML' API.
License: MIT + file LICENSE
URL: https://github.com/kablag/RDML7
BugReports: https://github.com/kablag/RDML7/issues
Depends: R (>= 4.1.0)
Imports: S7, checkmate (>= 1.6.2), data.table, readxl, stringr, tools, xml2 (>= 1.0), lubridate (>= 1.6.0)
Suggests: knitr, chipPCR, reshape2, qpcR, ggplot2, htmltools, DT, MBmca, PCRedux, shiny, shinythemes, testthat, rmarkdown, plotly
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-14 11:24:10 UTC; Blagodatskikh.KA
Author: Konstantin A. Blagodatskikh [cre, aut], Stefan Roediger [ctb], Michal Burdukiewicz [ctb], Andrej-Nikolai Spiess [ctb]
Maintainer: Konstantin A. Blagodatskikh <k.blag@yandex.ru>
Repository: CRAN
Date/Publication: 2026-10-22 16:40:26 UTC

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New package prime with initial version 0.5.5
Package: prime
Title: Proportional Inclusive Marginal Effects
Version: 0.5.5
Description: Implements a model-free variable importance measure based on proportional marginal effects estimated from noisy input-output data. See Cho and Joseph (2026) <doi:10.48550/arXiv.2610.17053> for details.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ChoYoungSeo/prime-importance-r
BugReports: https://github.com/ChoYoungSeo/prime-importance-r/issues
Depends: R (>= 4.2.0)
Imports: FNN, MASS, parallel, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), twinning
NeedsCompilation: yes
Packaged: 2026-10-14 18:51:14 UTC; ycho397
Author: Youngseo Cho [aut, cre, cph], V. Roshan Joseph [aut, cph]
Maintainer: Youngseo Cho <josun@gatech.edu>
Repository: CRAN
Date/Publication: 2026-10-22 17:00:02 UTC

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New package NormGen with initial version 0.0.6
Package: NormGen
Title: An Efficient and Precise Quantile Mapping for Normal Pseudo-Random Number Generation
Version: 0.0.6
Description: High-performance pseudo-normal random generator using an optimized quantile mapping algorithm. It provides fast generation of normal pseudo-random numbers based on precise mathematical approximations. The package features Rnorm() for efficient single-threaded generation and parallel_Rnorm(), a high-performance, multithreaded variant powered by 'RcppParallel' and Intel 'TBB'. Package compilation flags are optimized to support multi-core parallel processing.
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), RcppParallel
LinkingTo: Rcpp, RcppParallel
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Language: en-US
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-14 10:41:41 UTC; piotr
Author: Piotr Sulewski [aut, cre]
Maintainer: Piotr Sulewski <piotr.sulewski@upsl.edu.pl>
Repository: CRAN
Date/Publication: 2026-10-22 16:20:08 UTC

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New package MultipleSystemsEstimation with initial version 1.3.2
Package: MultipleSystemsEstimation
Title: Methods for Multiple Systems Estimation
Version: 1.3.2
Description: Methods for multiple systems estimation using Poisson log-linear models, with particular attention to sparse capture data, model selection and its associated uncertainty, and Bayesian thresholding of interaction effects. The package implements and extends methodology from Silverman (2020) <doi:10.1111/rssa.12505>, Chan, Silverman and Vincent (2021) <doi:10.1080/01621459.2019.1708748>, and Silverman, Chan and Vincent (2024) <doi:10.1007/s11222-023-10346-9>.
URL: https://bernardsilverman.github.io/MultipleSystemsEstimation/, https://bernardsilverman.co.uk/contact
Depends: R (>= 4.2.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: lpSolve, MCMCpack
VignetteBuilder: knitr
NeedsCompilation: no
Maintainer: Bernard W. Silverman <bernard.silverman@stats.ox.ac.uk>
Packaged: 2026-10-13 21:30:22 UTC; berna
Author: Bernard W. Silverman [aut, cre], Lax Chan [ctb], Kyle Vincent [ctb]
Repository: CRAN
Date/Publication: 2026-10-22 16:10:09 UTC

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New package hybridclock with initial version 0.1.1
Package: hybridclock
Title: How Long Have Hybrids Been Forming? Hybrid Population Histories from Diagnostic Markers
Version: 0.1.1
Description: Estimates the history of hybrid populations from diagnostic markers, with or without a genetic map: the average age of the hybrids, how long ago the rarer species' ancestry entered, the number of backcrosses, and whether pure animals of the rarer species are still arriving. Population samples of hybrid index and interspecies heterozygosity, as defined by Fitzpatrick (2012) <doi:10.1186/1471-2148-12-131>, are compared with forward simulations that include drift, small breeding groups, sibling mating and separate breeding pools, so that inbreeding is not mistaken for age. Estimates come from 'Cubist' models with split-conformal intervals. Recent hybrids are also classified individually, and the number of markers needed to detect backcrossed hybrids follows Boecklen and Howard (1997) <doi:10.1890/0012-9658(1997)078[2611:GAOHZN]2.0.CO;2>.
License: MIT + file LICENSE
URL: https://github.com/paulmaier/hybridclock, https://paulmaier.github.io/hybridclock/
BugReports: https://github.com/paulmaier/hybridclock/issues
Depends: R (>= 4.1)
Imports: Cubist, graphics, grDevices, parallel, ranger, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-14 13:59:47 UTC; paulm
Author: Paul A. Maier [aut, cre, cph]
Maintainer: Paul A. Maier <maierpa@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:40:02 UTC

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Package gmapsdistance updated to version 4.1.0 with previous version 4.0.5 dated 2025-01-11

Title: Distance and Travel Time Between Two Points from Google Maps
Description: Get distance and travel time between two points from Google Maps. Supports both the legacy 'Distance Matrix API' (XML endpoint) and the newer 'Routes API' (REST).
Author: Rodrigo Azuero Melo [aut], David Zarruk [aut], Jindra Lacko [cre]
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

Diff between gmapsdistance versions 4.0.5 dated 2025-01-11 and 4.1.0 dated 2026-10-22

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Package flexOR readmission to version 1.0.3 with previous version 1.0.0 dated 2024-04-16

Title: Flexible Odds Ratio Curves
Description: Provides flexible odds ratio curves that enable modeling non-linear relationships between continuous predictors and binary outcomes. Facilitates a deeper understanding of the impact of each continuous predictor on the outcome by presenting results in terms of odds ratio (OR) curves based on splines. These curves allow for comparison against a specified reference value, aiding in the interpretation of the predictor's effect. Methods are described in Azevedo et al. (2024) <doi:10.3390/app14093897>.
Author: Marta Azevedo [aut] , Luis Meira-Machado [aut] , Artur Araujo [aut, cre]
Maintainer: Artur Araujo <artur.stat@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2024-04-16

Diff between flexOR versions 1.0.0 dated 2024-04-16 and 1.0.3 dated 2026-10-22

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New package fereg with initial version 0.4.0
Package: fereg
Title: Fast Fixed-Effects Estimation with the 'fixest' Interface
Version: 0.4.0
Description: Ordinary least squares, two-stage least squares, Poisson and logit regressions with any number of high-dimensional fixed effects, interactions of fixed effects, varying slopes, weights and iid, heteroskedasticity-robust (HC1, HC2, HC3), multiway-clustered, CRV3, Newey-West, Driscoll-Kraay or Conley standard errors. The formula syntax, arguments, results and methods follow the 'fixest' package and reproduce its estimates. The computations run in a parallel 'Rust' library that eliminates the largest fixed effect exactly and solves for the others by preconditioned conjugate gradient.
License: MIT + file LICENSE
URL: https://github.com/leoliu0/fereg
BugReports: https://github.com/leoliu0/fereg/issues
Depends: R (>= 4.2)
Imports: stats
Suggests: fixest, testthat (>= 3.0.0), data.table, generics, Matrix
SystemRequirements: Cargo (Rust's package manager), rustc (>= 1.85)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-14 12:13:57 UTC; leo
Author: Leo Liu [aut, cre, cph], Authors of the bundled Rust crates [ctb, cph]
Maintainer: Leo Liu <auleo.liu@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:30:02 UTC

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New package EnvRtype with initial version 0.1.3
Package: EnvRtype
Title: Envirotyping for Quantitative Genetics and Plant Breeding
Version: 0.1.3
Description: An enviromics toolkit for genotype-by-environment analysis and envirotype-informed genomic prediction. Collects worldwide daily and hourly weather from 'NASA POWER', soil profiles from 'SoilGrids', elevation and bioclimatic layers from 'WorldClim', agro-ecological zones from 'FAO GAEZ', and downscaled 'CMIP6' climate scenarios, with checkpointed retrieval that can resume after an interrupted run. Derives agro-meteorological parameters (solar radiation, evapotranspiration, thermal time, atmospheric demand), runs a FAO-56 single crop coefficient soil water balance, and maps daily weather onto crop developmental stages. Builds environmental covariable matrices, envirotype typologies and frequency matrices, mega-environment clusters, historical risk profiles and target population of environments weights. Reduces interval-resolved envirotypes by principal component analysis, delineates soil zones with Gaussian mixture models, and constructs linear, Gaussian and arc-cosine environmental rela [...truncated...]
License: GPL-3
URL: https://github.com/gcostaneto/EnvRtype, https://gcostaneto.github.io/EnvRtype/
BugReports: https://github.com/gcostaneto/EnvRtype/issues
Encoding: UTF-8
LazyData: true
Imports: ggplot2, grDevices, graphics, reshape2, stats, tools, utils
Suggests: cluster, curl, geobr, ggrepel, httr, jsonlite, knitr, mclust, nasapower, parallel, randomForest, rmarkdown, sf, terra, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-14 18:51:47 UTC; qvt192
Author: Germano Costa-Neto [aut, cre], Fernanda Pontes [aut]
Maintainer: Germano Costa-Neto <germano.cneto@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:50:13 UTC

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Package datasetjson updated to version 0.4.1 with previous version 0.4.0 dated 2026-09-03

Title: Read and Write CDISC Dataset JSON Files
Description: Read, construct and write CDISC (Clinical Data Interchange Standards Consortium) Dataset JSON (JavaScript Object Notation) files, while validating per the Dataset JSON schema file, as described in CDISC (2023) <https://www.cdisc.org/standards/data-exchange/dataset-json>.
Author: Mike Stackhouse [aut, cre] , Nicholas Masel [aut], Atorus Research, Inc. [cph], Yao Yuan [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

Diff between datasetjson versions 0.4.0 dated 2026-09-03 and 0.4.1 dated 2026-10-22

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New package CoxRMSTSimpson with initial version 0.1.0
Package: CoxRMSTSimpson
Title: Restricted Mean Survival Time from Cox Models
Version: 0.1.0
Description: Calculates restricted mean survival time from predicted Cox proportional hazards survival curves using composite Simpson's rule and provides plots with shaded areas under the survival curves. Includes simulated survival data for reproducible examples.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: survival, graphics, grDevices, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-14 08:45:43 UTC; fordeia
Author: Ian Forde [aut, cre]
Maintainer: Ian Forde <fordeia@appstate.edu>
Repository: CRAN
Date/Publication: 2026-10-22 16:20:14 UTC

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New package corridoR with initial version 0.2.0
Package: corridoR
Title: Migration Corridors and Genetic Range Shifts from Landscape Genetic Data
Version: 0.2.0
Description: Models genetic connectivity along migration corridors and forecasts how it shifts under climate change, following Maier et al. (2022) <doi:10.1038/s41437-022-00561-x>. Least cost corridors are built from accumulated cost surfaces and used as weights to summarize raw environmental layers between sites; each group of environmental features can choose its own corridor bandwidth; and pairwise predictions of differentiation and directional migration are mapped back onto the landscape as magnitude and net-direction surfaces. Includes readers for common genotype formats (STRUCTURE, GENEPOP, VCF, GenAlEx, FSTAT and PLINK files, and 'adegenet' objects), pairwise fixation indices, and the directional differentiation of Sundqvist et al. (2016) <doi:10.1002/ece3.2096>.
License: MIT + file LICENSE
URL: https://github.com/paulmaier/corridoR, https://paulmaier.github.io/corridoR/
BugReports: https://github.com/paulmaier/corridoR/issues
Depends: R (>= 4.1)
Imports: gdistance, graphics, grDevices, raster, sf, stats, terra, utils
Suggests: adegenet, caret, Cubist, exactextractr, ggplot2, knitr, lme4, ranger, rmarkdown, testthat (>= 3.0.0), vcfR
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-14 13:33:26 UTC; paulm
Author: Paul A. Maier [aut, cre, cph]
Maintainer: Paul A. Maier <maierpa@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:40:19 UTC

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New package camplet with initial version 1.0.0
Package: camplet
Title: Seasonal Adjustment via the CAMPLET Method
Version: 1.0.0
Description: Seasonal adjustment with CAMPLET (Abeln and Jacobs (2023) <doi:10.1007/978-3-031-22845-2>), a transparent, adaptive method that corrects for seasonality and outliers via arithmetic-progression updates, without model identification or optimisation, and without revising earlier adjusted values when new observations arrive. A pure R port of the original 'Excel' 'VBA' implementation, validated against its output.
URL: https://gitrepo.service.rug.nl/team-data-science/camplet-r
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0), readxl
NeedsCompilation: no
Packaged: 2026-10-07 13:31:55 UTC; herbert
Author: Barend Abeln [aut] , Herbert Kruitbosch [aut, cre]
Maintainer: Herbert Kruitbosch <datascience@rug.nl>
Repository: CRAN
Date/Publication: 2026-10-22 16:30:08 UTC

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New package AccumulatR with initial version 1.0.0
Package: AccumulatR
Title: Simulation and Likelihood Tools for Evidence-Accumulation Models
Version: 1.0.0
Description: Toolbox for designing, simulating and fitting custom racing evidence-accumulation models to behavioral data. Users define a model in terms of accumulators, pooled channels, logical response rules, and timing dependencies. This allows more direct embedding of psychological hypotheses into the model. With that model you can simulate decision-making data and evaluate the likelihood of observed responses under alternative parameter values. The user-facing interface stays in R, while the simulation and likelihood calculations are handled in C++ for speed.
License: GPL-3
URL: https://github.com/niekstevenson/AccumulatR, https://niekstevenson.github.io/AccumulatR/
BugReports: https://github.com/niekstevenson/AccumulatR/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: Rcpp (>= 1.1.2), stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), DiagrammeR
VignetteBuilder: knitr
LinkingTo: Rcpp (>= 1.1.2), BH
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-10-14 12:52:40 UTC; runner
Author: Niek Stevenson [aut, cre]
Maintainer: Niek Stevenson <niek.stevenson@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 16:30:14 UTC

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New package ccva with initial version 0.1.0
Package: ccva
Title: Climate Change Vulnerability Assessment with Constrained Latent Models
Version: 0.1.0
Description: A general framework for climate change vulnerability assessment (CCVA) of any species and any dataset. Variables are tagged as exposure, sensitivity or adaptive capacity; each component is computed from its own predictors by a chosen method; and the three components are combined into vulnerability. Methods range from the conventional weighted index of Ofori et al. (2017) <doi:10.1038/s41598-017-13245-y> to shape-constrained additive models ('scam'), latent-variable structural equation models ('lavaan') in which vulnerability is inferred from observable proxies, and penalised regression ('glmnet') for high-dimensional predictors. Ecological knowledge enters as explicit constraints on predictors, on each component's role and on the links between components. Diagnostics, validation against observed outcomes, bootstrap and weight-based uncertainty, calibrated risk predictions and plots for every step are included.
License: GPL (>= 3)
URL: https://github.com/DoostiH/ccva
BugReports: https://github.com/DoostiH/ccva/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), lavaan (>= 0.6-12), stats, utils
Suggests: scam, glmnet, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-14 06:45:01 UTC; MQ20173444
Author: Hassan Doosti [aut, cre, cph]
Maintainer: Hassan Doosti <hassan.doosti@mq.edu.au>
Repository: CRAN
Date/Publication: 2026-10-22 16:00:02 UTC

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Package rmoriebricklayer updated to version 1.0.2 with previous version 1.0.0 dated 2026-10-21

Title: Reproducible Data Capsules with Provenance and Fallback
Description: For analyzing published and unpublished tables, from open-data portals and statistical agencies to a researcher's own data, so that a result can be traced to the exact data behind it and checked again afterwards. A 'capsule' records where each source came from, its Secure Hash Algorithm 256 ('SHA-256') hash, the schema it should have and an archived copy in the Internet Archive 'Wayback Machine' ('web.archive.org'); sources are found through the Comprehensive Knowledge Archive Network ('CKAN', 'ckan.org'). Run again, a capsule says whether each source still matches and, if it does not, how its distribution moved (Kolmogorov-Smirnov, chi-square, population stability index and 'Benford' first-digit screens), and when a source cannot be reached it runs on schema-driven synthetic data that is marked as such. Capsules can be signed with keyed hashes ('HMAC-SHA-256', RFC 2104) or with the post-quantum signature standards 'ML-DSA' (FIPS 204), 'SLH-DSA' (FIPS 205) and 'XMSS' (RFC 8391), implem [...truncated...]
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>

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Package phylotypr updated to version 0.2.0 with previous version 0.1.1 dated 2025-02-21

Title: Classifying DNA Sequences to Taxonomic Groupings
Description: Classification based analysis of DNA sequences to taxonomic groupings. This package primarily implements Naive Bayesian Classifier from the Ribosomal Database Project. This approach has traditionally been used to classify 16S rRNA gene sequences to bacterial taxonomic outlines; however, it can be used for any type of gene sequence. The method was originally described by Wang, Garrity, Tiedje, and Cole in Applied and Environmental Microbiology 73(16):5261-7 <doi:10.1128/AEM.00062-07>. The package also provides functions to read in 'FASTA'-formatted sequence data.
Author: Pat Schloss [aut, cre, cph]
Maintainer: Pat Schloss <pschloss@umich.edu>

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Package musclesyneRgies updated to version 1.4.0 with previous version 1.3.1 dated 2026-08-26

Title: Extract Muscle Synergies from Electromyography
Description: Provides a framework to factorise electromyography (EMG) data. Tools are provided for raw data pre-processing, non negative matrix factorisation, classification of factorised data and plotting of obtained outcomes. In particular, reading from ASCII files is supported, along with wide-used filtering approaches to process EMG data. All steps include one or more sensible defaults that aim at simplifying the workflow. Yet, all functions are largely tunable at need. Example data sets are included.
Author: Alessandro Santuz [aut, cre]
Maintainer: Alessandro Santuz <alessandro.santuz@gmail.com>

Diff between musclesyneRgies versions 1.3.1 dated 2026-08-26 and 1.4.0 dated 2026-10-22

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Package glyrepr updated to version 1.2.0 with previous version 1.1.0 dated 2026-09-22

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyrepr versions 1.1.0 dated 2026-09-22 and 1.2.0 dated 2026-10-22

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Package equateMultiple updated to version 1.2.0 with previous version 1.1.3 dated 2026-01-15

Title: Equating of Multiple Forms
Description: Equating of multiple forms using Item Response Theory (IRT) methods. See Battauz (2025) <doi:10.18637/jss.v115.i11> for a detailed description of the package. See Battauz M. (2017) <doi:10.1007/s11336-016-9517-x>, Battauz and 'Leoncio' (2023) <doi:10.1177/01466216231151702> and Haberman S. J. (2009) <doi:10.1002/j.2333-8504.2009.tb02197.x>) for the methods to link multiple test forms. See <doi:10.1111/bmsp.70023> for DIF detection across multiple groups.
Author: Michela Battauz [aut, cre], Waldir Leoncio [ctb]
Maintainer: Michela Battauz <michela.battauz@uniud.it>

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Package eFRED updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-15

Title: Fetch Data from the Federal Reserve Economic Database
Description: Interact with the FRED API, <https://fred.stlouisfed.org/docs/api/fred/>, to fetch observations across economic series; find information about different economic sources, releases, series, etc.; conduct searches by series name, attributes, or tags; and determine the latest updates. Includes functions for creating panels of related variables with minimal effort and datasets containing data sources, releases, and popular FRED tags.
Author: Chris Mann [aut, cre]
Maintainer: Chris Mann <cmann3@unl.edu>

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Package RCppAD updated to version 1.20260000.0-2 with previous version 1.20260000.0-1 dated 2026-09-11

Title: 'CppAD' C++ Header Files for Automatic Differentiation
Description: Provides the 'CppAD' C++ header library for automatic differentiation, for use by R packages via LinkingTo. Headers are vendored with CRAN-safe defaults and R-safe error handling that does not call std::cerr or std::exit. The two final components of the version number are the 'CppAD' release number.
Author: Patrick Brown [aut, cre, cph], Bradley M. Bell [aut, cph] , COIN-OR Foundation [cph]
Maintainer: Patrick Brown <patrick.borgnine@gmail.com>

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Package rbacon updated to version 4.0.2 with previous version 4.0.0 dated 2026-09-16

Title: Age-Depth Modelling using Bayesian Statistics
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information on accumulation rates and their variability. See Blaauw & Christen (2011).
Author: Maarten Blaauw [aut, cre] , J. Andres Christen [aut, ctb, cph] , Marco A. Aquino Lopez [aut] , Judith Esquivel Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package MD2sample updated to version 1.4.2 with previous version 1.4.1 dated 2026-10-14

Title: Various Methods for the Two Sample Problem in D>1 Dimensions
Description: The routine twosample_test() in this package runs the two-sample test using various test statistic for multivariate data. The user can also run several tests and then find a p value adjusted for simultaneous inference. The p values are found via permutation or via the parametric bootstrap. The routine twosample_power() allows the estimation of the power of the tests. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package. For details of the methods and references see the included vignettes.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package IJSE updated to version 0.3.4 with previous version 0.1.2 dated 2025-07-18

Title: Infinitesimal Jackknife Standard Errors for 'brms' Models
Description: Computes infinitesimal jackknife standard errors and covariance matrices for posterior expectations from 'brms' models or matched posterior draws and pointwise log likelihoods. Supports independent and clustered sampling units, transformed quantities, blockwise likelihood evaluation, and chain stability diagnostics. References: Ji et al. (2026) <doi:10.3102/10769986251379738>; Giordano and Broderick (2024) <doi:10.48550/arXiv.2305.06466>.
Author: Feng Ji [aut, cre] , JoonHo Lee [aut], Sophia Rabe-Hesketh [aut]
Maintainer: Feng Ji <f.ji@utoronto.ca>

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Package gsDesignNB updated to version 0.4.0 with previous version 0.3.2 dated 2026-07-06

Title: Sample Size and Simulation for Negative Binomial Outcomes
Description: Provides tools for planning and simulating recurrent event trials with overdispersed count endpoints analyzed using negative binomial (or Poisson) rate models. Implements sample size and power calculations for fixed designs with variable accrual, dropout, maximum follow-up, and event gaps, including methods of Zhu and Lakkis (2014) <doi:10.1002/sim.5947> and Friede and Schmidli (2010) <doi:10.3414/ME09-02-0060> as well as extensions for score-test sizing and gaps between events. Supports group sequential monitoring by building on the 'gsDesign' package. Includes recurrent-event simulation utilities (including seasonal rates), interim data truncation, Wald and score-test inference for rate ratios, and information estimation and sample size re-estimation with or without treatment-group labels.
Author: Keaven Anderson [aut, cre], Hongtao Zhang [aut], Andrea Maes [aut], Nan Xiao [ctb], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>

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Package GitAI updated to version 0.1.4 with previous version 0.1.3 dated 2025-12-03

Title: Extracts Knowledge from 'Git' Repositories
Description: Scan multiple 'Git' repositories, pull specified files content and process it with large language models. You can summarize the content in specific way, extract information and data, or find answers to your questions about the repositories. The output can be stored in vector database and used for semantic search or as a part of a RAG (Retrieval Augmented Generation) prompt.
Author: Kamil Wais [aut, cre], Krystian Igras [aut], Maciej Banas [aut]
Maintainer: Kamil Wais <kamil.wais@gmail.com>

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Package ggstatsplot updated to version 1.1.4 with previous version 1.1.3 dated 2026-10-17

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03167>.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package GENEAcore updated to version 1.3.9 with previous version 1.2.0 dated 2026-04-02

Title: Pre-Processing of 'GENEActiv' Data
Description: Analytics to read in and segment raw 'GENEActiv' accelerometer data into epochs and events. For more details on the 'GENEActiv' device, see <https://activinsights.com/resources/geneactiv-support-1-2/>.
Author: Joss Langford [aut], Ian Long [aut], Jia Ying Chua [aut, cre], Activinsights Ltd [cph]
Maintainer: Jia Ying Chua <jiayingc@activinsights.com>

Diff between GENEAcore versions 1.2.0 dated 2026-04-02 and 1.3.9 dated 2026-10-22

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Package finbif updated to version 0.10.1 with previous version 0.10.0 dated 2026-07-02

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph] , Finnish Biodiversity Information Facility [cph] , William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>

Diff between finbif versions 0.10.0 dated 2026-07-02 and 0.10.1 dated 2026-10-22

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Package farr updated to version 1.1.1 with previous version 1.1.0 dated 2026-10-15

Title: Data and Code for Empirical Research in Accounting
Description: Data sets and functions for empirical accounting research, including event-return calculations, panel-data simulations, classification performance measures, and 'Parquet' file workflows using 'DuckDB'. Supports methods described in "Empirical Research in Accounting: Tools and Methods" (2024) <doi:10.1201/9781003456230>. The online companion is available at <https://iangow.github.io/far_book/>.
Author: Ian Gow [aut, cre]
Maintainer: Ian Gow <iandgow@gmail.com>

Diff between farr versions 1.1.0 dated 2026-10-15 and 1.1.1 dated 2026-10-22

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Package duckplyr updated to version 1.2.2 with previous version 1.2.1 dated 2026-03-10

Title: A 'DuckDB'-Backed Version of 'dplyr'
Description: A drop-in replacement for 'dplyr', powered by 'DuckDB' for performance. Offers convenient utilities for working with in-memory and larger-than-memory data while retaining full 'dplyr' compatibility.
Author: Hannes Muehleisen [aut] , Kirill Mueller [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between duckplyr versions 1.2.1 dated 2026-03-10 and 1.2.2 dated 2026-10-22

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Package dmrfit updated to version 0.1.1 with previous version 0.1.0 dated 2026-10-18

Title: Scalable Bayesian Inference for Discrete Markov Random Fields
Description: Estimation of discrete Markov random fields through the pseudo-likelihood, for both Ising models (Ising (1925) <doi:10.1007/BF02980577>) and ordinal Markov random fields (Marsman et al. (2025) <doi:10.1017/psy.2024.4>). Point estimates, either maximum pseudo-likelihood or maximum a posteriori, are obtained through a trust region optimization algorithm, with robust standard errors from the Godambe-Huber-White (GHW, or sandwich) estimator, for both full and constrained network structures. Bayesian inference corrects the pseudo-posterior through coordinate rescaling (Arena and Marsman (2026) <doi:10.48550/arXiv.2601.17205>), which matches its covariance to the GHW covariance, and samples from it with the Fisher adaptive Metropolis-adjusted Langevin algorithm (Titsias (2024) <doi:10.48550/arXiv.2305.14442>). For comparison, the posterior based on the full likelihood can also be sampled, exactly for small networks or with the double Metropolis-Hastings algorithm (Lia [...truncated...]
Author: Giuseppe Arena [aut, cre]
Maintainer: Giuseppe Arena <g.arena@uva.nl>

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Package constructive readmission to version 1.4.0 with previous version 1.3.0 dated 2025-09-19

Title: Display Idiomatic Code to Construct Most R Objects
Description: Prints code that can be used to recreate R objects. In a sense it is similar to 'base::dput()' or 'base::deparse()' but 'constructive' strives to use idiomatic constructors.
Author: Antoine Fabri [aut, cre], Kirill Mueller [ctb] , Jacob Scott [ctb], cynkra GmbH [fnd]
Maintainer: Antoine Fabri <antoine.fabri@gmail.com>

This is a re-admission after prior archival of version 1.3.0 dated 2025-09-19

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More information about constructive at CRAN
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Package CIMEHR updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-08

Title: Longitudinal EHR Analysis with Informative Visits and Recording
Description: Longitudinal outcomes in electronic health records (EHR) are seen only when a patient visits and the outcome is recorded at that visit, and both processes can depend on the patient's latent health. The package fits the CIMEHR estimator for this setting, a three-stage procedure linked by a shared latent factor: a frailty partial likelihood for the visiting process, a pairwise likelihood for the recording (observation) process, and an estimating equation for the outcome. Spline and higher-order Laplace variants are included, together with comparison methods (summary statistics, linear mixed models, Lin-Ying, Liang, pairwise likelihood, joint models, inverse intensity rate ratio weighting and balancing, multiple imputation, linear increments and EHRJoint) behind one common interface. Methods are described in Yang, Shi, and Mukherjee (2026) <doi:10.48550/arXiv.2602.15374>.
Author: Cheng-Han Yang [aut, cre] , Yiren Hou [aut]
Maintainer: Cheng-Han Yang <chenghanyang728@gmail.com>

Diff between CIMEHR versions 0.1.0 dated 2026-06-08 and 0.2.0 dated 2026-10-22

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More information about CIMEHR at CRAN
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Package betaregscale updated to version 3.1.1 with previous version 2.7.4 dated 2026-08-23

Title: Beta Regression for Interval-Censored Scale-Derived Outcomes
Description: Maximum-likelihood estimation of beta regression models for responses derived from bounded rating scales. Observations are treated as interval-censored on (0, 1) after a scale-to-unit transformation, and the likelihood is built from the difference of the beta CDF at the interval endpoints. The complete likelihood supports mixed censoring types: uncensored, left-censored, right-censored, and interval-censored observations. Both fixed- and variable-dispersion submodels are supported, with flexible link functions for the mean and precision components. A compiled C++ backend (via 'Rcpp' and 'RcppArmadillo') provides numerically stable, high-performance log-likelihood evaluation. Standard S3 methods (print(), summary(), coef(), fitted(), residuals(), predict(), plot(), confint(), vcov(), logLik(), AIC(), BIC(), simulate()) are available for fitted objects.
Author: Jose Evandeilton Lopes [aut, cre] , Wagner Hugo Bonat [aut]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

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Package survlab updated to version 0.2.0 with previous version 0.1.0 dated 2025-12-11

Title: Survival Model-Based Imputation for Laboratory Non-Detect Data
Description: Implements survival-model-based imputation for censored laboratory measurements, including Tobit-type models with several distribution options. Suitable for data with values below detection or quantification limits, the package identifies the best-fitting distribution and produces realistic imputations that respect the censoring thresholds.
Author: Luis Pereira [aut, cre] , Paulo Infante [aut] , Teresa Ferreira [ths] , Paulo Quaresma [ths]
Maintainer: Luis Pereira <d57177@alunos.uevora.pt>

Diff between survlab versions 0.1.0 dated 2025-12-11 and 0.2.0 dated 2026-10-22

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Package qdfauction updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-20

Title: Nonparametric Quantile Density Estimation and Structural Analysis of First-Price Auctions
Description: Nonparametric estimators of the quantile density function (the derivative of the quantile function): kernel, boundary-corrected kernel, Poisson-weight and Bernstein-polynomial smoothers, indirect estimators (Jones (1992) <https://www.ism.ac.jp/editsec/aism/pdf/044_4_0721.pdf>; Soni, Dewan and Jain (2012) <doi:10.1016/j.csda.2012.04.014>; Chaubey, Dewan and Li (2024) <doi:10.1080/03610926.2023.2222922>), and linear, hard-thresholded and block-thresholded wavelet estimators (Chesneau, Dewan and Doosti (2016) <doi:10.1016/j.csda.2015.08.006>; Shirazi and Doosti (2022) <doi:10.1080/03610918.2019.1656250>), with smoothing parameters chosen by biased, robust likelihood (Wu (2019) <doi:10.1080/07350015.2018.1424633>) or least-squares cross-validation. The estimators are applied to the structural analysis of first-price sealed-bid auctions: recovery of private values for independent or affiliated values and risk-neutral or risk-averse bidders (Doosti, Dewan [...truncated...]
Author: Hassan Doosti [aut, cre, cph] , Yogendra P. Chaubey [ctb, cph] , Isha Dewan [ctb, cph] , Jun Li [ctb, cph] , Brent R. Hickman [ctb, cph] ), Timothy P. Hubbard [ctb, cph] ), Brani Vidakovic [ctb, cph] , phi_jk, dwt_periodic, idwt_periodic and loclin_s [...truncated...]
Maintainer: Hassan Doosti <Hassan.doosti@mq.edu.au>

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Package landform updated to version 0.3.0 with previous version 0.2 dated 2023-10-04

Title: Topographic Position Index-Based Landform Classification
Description: Classifies a landscape into slope-position and landform classes on the basis of the Topographic Position Index (TPI) and slope, following Weiss (2001) and Jenness (2006). Two classifications are offered: a six-class Slope Position Classification, based on one TPI scale, and a ten-class Landform Classification, based on a small and a large TPI scale. The TPI can be computed over square, circular or annular neighbourhoods, sized in cells or in map units, and standardised either over the whole grid (as in the original method) or locally. Results are returned as an object holding the classified raster, the TPI and slope surfaces, and per-class descriptive statistics, with methods for printing, summarising and plotting.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

Diff between landform versions 0.2 dated 2023-10-04 and 0.3.0 dated 2026-10-22

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Package gpbiometrics updated to version 2.1.1 with previous version 0.1.0 dated 2026-07-04

Title: Process and Report Gazepoint Biometrics Data
Description: Gazepoint-native tools for reproducible analysis and reporting of Gazepoint Biometrics and GP3-derived physiological, gaze, pupil, fixation, AOI, marker, and event-level exports. The package supports import, validation, preprocessing, missing-value imputation, EDA/GSR, SCR epoching, IBI/RR/HRV, PPG/pulse workflows, pupil blink detection and cleaning, gaze filtering, fixation summaries, engagement-dial indices, multimodal trial regressors, quality reports, exclusion and QC recommendations, synthetic eye-data generation, and interoperability or workflow-inspired helpers for common psychophysiology toolchains. The package is designed for transparent, CRAN-safe, scriptable analysis rather than as a full clone of external commercial or open-source toolboxes.
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>

Diff between gpbiometrics versions 0.1.0 dated 2026-07-04 and 2.1.1 dated 2026-10-22

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More information about gpbiometrics at CRAN
Permanent link

Package gp3bayes updated to version 0.6.1 with previous version 0.5.0 dated 2026-08-23

Title: Contract-First Bayesian Workflows for Hierarchical Behavioural Data
Description: Provides transparent, contract-first infrastructure for Bayesian analysis of repeated-measures and hierarchical behavioural data. It supports approved Bernoulli-logit, positive lognormal duration, and governed Gaussian dynamic-pupillometry workflows with strict readiness auditing, deterministic simulation, explicit preparation and transformation replay, inspectable scale-aware priors, prior and posterior predictive checks, restricted optional fitting through 'brms' with either 'rstan' or 'cmdstanr', sampling and temporal diagnostics, explicit posterior estimands, sensitivity analysis, target-specific predictive validation, simulation-based calibration, and conservative reporting. Core contracts and validation remain backend-independent. Version 0.5 adds governed robust and distributional dynamic pupillometry, bounded ARMA residual structures, Gaussian-process trajectories, explicit measurement uncertainty and missing-data models, joint binocular analysis, predictive model comparison, f [...truncated...]
Author: Stefanos Balaskas [aut, cre, cph]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>

Diff between gp3bayes versions 0.5.0 dated 2026-08-23 and 0.6.1 dated 2026-10-22

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Package BsplineQuantReg updated to version 0.2.6 with previous version 0.2.5 dated 2026-08-20

Title: 'Constrained Quantile Regression with B-Splines'
Description: Quantile regression with B-splines under shape constraints. The initial version with cubic splines, augmented with splines of degree 1 to 4, is now able to handle all degrees (degree >= 6 without any constraint). Constraints for degrees 3 (monotone), 4 (monotone and convex) and 5 (convex) use the Karlin-Studden SOCP characterization for the sign of the polynomial (Karlin and Studden, 1966; Papp and Alizadeh, 2014), while other constraints are added as linear problems. The method for monotone constraints of cubic splines is described in Abbes (2025) <doi:10.5281/zenodo.17427913>. For quartic splines, see other references given in the README. All B-spline and polynomial functions have been rewritten for consistency. This package provides a fully independent original B-spline library for conversion between PP-form and B-spline representation, evaluation, differentiation, callable and non-callable objects, human-readable PP forms, and basis visualization, all based on De Boor's th [...truncated...]
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>

Diff between BsplineQuantReg versions 0.2.5 dated 2026-08-20 and 0.2.6 dated 2026-10-22

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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

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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

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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

More information about progme at CRAN
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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>

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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>

Diff between visATC versions 1.0.0 dated 2026-09-22 and 1.1.0 dated 2026-10-22

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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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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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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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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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More information about rzig at CRAN
Permanent link

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>

Diff between echos versions 1.0.4 dated 2026-06-15 and 1.0.5 dated 2026-10-22

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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>

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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

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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

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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

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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>

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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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