Wed, 02 Sep 2026

Package valdr updated to version 4.0.0 with previous version 3.0.0 dated 2026-04-22

Title: Access and Analyse 'VALD' Data via Our External 'APIs'
Description: Provides helper functions and wrappers to simplify authentication, data retrieval, and result processing from the 'VALD' 'APIs'. Designed to streamline integration for analysts and researchers working with 'VALD's external 'APIs'. For further documentation on integrating with 'VALD' 'APIs', see: <https://support.vald.com/hc/en-au/articles/23415335574553-How-to-integrate-with-VALD-APIs>. For a step-by-step guide to using this package, see: <https://support.vald.com/hc/en-au/articles/48730811824281-A-guide-to-using-the-valdr-R-package>.
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>

Diff between valdr versions 3.0.0 dated 2026-04-22 and 4.0.0 dated 2026-09-02

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Package rosm updated to version 0.3.2 with previous version 0.3.1 dated 2026-01-21

Title: Plot Raster Map Tiles from Open Street Map and Other Sources
Description: Download and plot Open Street Map <https://www.openstreetmap.org/>, Bing Maps <https://www.bing.com/maps> and other tiled map sources. Use to create basemaps quickly and add hillshade to vector-based maps.
Author: Dewey Dunnington [aut, cre] , Timothee Giraud [ctb]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

Diff between rosm versions 0.3.1 dated 2026-01-21 and 0.3.2 dated 2026-09-02

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Package readODS updated to version 2.3.6 with previous version 2.3.5 dated 2026-04-13

Title: Read and Write ODS Files
Description: Read ODS (OpenDocument Spreadsheet) into R as data frame. Also support writing data frame into ODS file.
Author: Gerrit-Jan Schutten [aut], Chung-hong Chan [aut, cre] , Peter Brohan [aut], Detlef Steuer [aut] , Thomas J. Leeper [aut] , John Foster [ctb], Sergio Oller [ctb], Jim Hester [ctb] , Stephen Watts [ctb], Arthur Katossky [ctb], Stas Malavin [ctb], Dunca [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between readODS versions 2.3.5 dated 2026-04-13 and 2.3.6 dated 2026-09-02

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Package readNSx updated to version 0.1.0 with previous version 0.0.7 dated 2026-05-23

Title: Read 'Blackrock-Microsystems' Files ('NEV', 'NSx')
Description: Loads 'Blackrock' <https://blackrockneurotech.com> neural signal data files into the memory, provides utility tools to extract the data into common formats such as plain-text 'tsv' and 'HDF5'.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between readNSx versions 0.0.7 dated 2026-05-23 and 0.1.0 dated 2026-09-02

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Package PINSPlus updated to version 2.0.10 with previous version 2.0.9 dated 2025-07-29

Title: Clustering Algorithm for Data Integration and Disease Subtyping
Description: Provides a robust approach for omics data integration and disease subtyping. PINSPlus is fast and supports the analysis of large datasets with hundreds of thousands of samples and features. The software automatically determines the optimal number of clusters and then partitions the samples in a way such that the results are robust against noise and data perturbation (Nguyen et al. (2019) <DOI: 10.1093/bioinformatics/bty1049>, Nguyen et al. (2017)<DOI: 10.1101/gr.215129.116>, Nguyen et al. (2021)<DOI: 10.3389/fonc.2021.725133>).
Author: Hung Nguyen [aut], Bang Tran [aut], Duc Tran [aut], Tin Nguyen [aut], Van-Dung Pham [cre]
Maintainer: Van-Dung Pham <dvp0001@wayne.edu>

Diff between PINSPlus versions 2.0.9 dated 2025-07-29 and 2.0.10 dated 2026-09-02

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Package nhdplusTools updated to version 1.5.2 with previous version 1.5.1 dated 2026-07-27

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre] , Mike Johnson [aut] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package MatrixEQTL updated to version 2.4 with previous version 2.3 dated 2019-12-22

Title: Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix Operations
Description: Matrix eQTL is designed for fast eQTL analysis on large datasets. Matrix eQTL can test for association between genotype and gene expression using linear regression with either additive or ANOVA genotype effects. The models can include covariates to account for factors as population stratification, gender, and clinical variables. It also supports models with heteroscedastic and/or correlated errors, false discovery rate estimation and separate treatment of local (cis) and distant (trans) eQTLs. For more details see Shabalin (2012) <doi:10.1093/bioinformatics/bts163>.
Author: Andrey A Shabalin [aut, cre]
Maintainer: Andrey A Shabalin <andrey.shabalin@gmail.com>

Diff between MatrixEQTL versions 2.3 dated 2019-12-22 and 2.4 dated 2026-09-02

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Package ggstats updated to version 0.14.0 with previous version 0.13.0 dated 2026-03-06

Title: Extension to 'ggplot2' for Plotting Stats
Description: Provides new statistics, new geometries and new positions for 'ggplot2' and a suite of functions to facilitate the creation of statistical plots.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between ggstats versions 0.13.0 dated 2026-03-06 and 0.14.0 dated 2026-09-02

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Package DiscreteTests updated to version 0.5.1 with previous version 0.5.0 dated 2026-08-26

Title: Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests
Description: Provides vectorised functions for computing p-values of various common discrete statistical tests, as described e.g. in Agresti (2002) <doi:10.1002/0471249688>, including their distributions. Exact and approximate computation methods are provided. For exact ones, several procedures of determining two-sided p-values are included, which are outlined in more detail in Hirji (2006) <doi:10.1201/9781420036190>.
Author: Florian Junge [cre, aut] , Christina Kihn [aut], Sebastian Doehler [ctb] , Guillermo Durand [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

Diff between DiscreteTests versions 0.5.0 dated 2026-08-26 and 0.5.1 dated 2026-09-02

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Tue, 01 Sep 2026

Package semFromKeys updated to version 0.5.3 with previous version 0.5.2 dated 2026-08-22

Title: Run 'lavaan' Models from Keys Lists
Description: Specifying 'lavaan' models manually can be time consuming when multiple similar models are required. The 'semFromKeys' package streamlines the process of running 'lavaan' models by generating model code from simple keys lists and running entire collections of models at once. The package was inspired by the process used in the code for Bainbridge, T. F., Ludeke, S. G., & Smillie, L. D. (2022) <doi:10.1037/pspp0000395>. The package also optionally checks that identical models have not been run on the same data, which saves time when code needs to be run again.
Author: Timothy F. Bainbridge [aut, cre, cph]
Maintainer: Timothy F. Bainbridge <tfbainbridge@gmail.com>

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Package tabpfn updated to version 0.3.0 with previous version 0.2.0 dated 2026-05-14

Title: Prior-Data Fitted Network Foundational Model for Tabular Data
Description: Provides a consistent API for classification and regression models based on the 'TabPFN' model of Hollmann et al. (2025), "Accurate predictions on small data with a tabular foundation model," Nature, 637(8045) <doi:10.1038/s41586-024-08328-6>. The calculations are served via 'Python' to train and predict the model.
Author: Max Kuhn [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package Ruido updated to version 1.1.0 with previous version 1.0.3 dated 2026-04-18

Title: Soundscape Spectral Metrics
Description: Accessible and flexible implementation of spectral ecoacoustic indices. The functions were design to accommodate a variety of sampling designs. Users can tailor calculations by specifying spectrogram time bin size, amplitude thresholds and normality tests. By simplifying computation and standardizing reproducible methods, the package aims to support ecoacoustics studies.
Author: Arthur Igor da Fonseca-Freire [aut, cre, cph], Weslley Geremias dos Santos [aut], Lucas Rodriguez Forti [aut]
Maintainer: Arthur Igor da Fonseca-Freire <arthur.igorr@gmail.com>

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Package simglm updated to version 1.0.0 with previous version 0.8.9 dated 2022-02-07

Title: Simulate Models Based on the Generalized Linear Model
Description: Simulates regression models, including both simple regression and generalized linear mixed models with up to three level of nesting. Power simulations that are flexible allowing the specification of missing data, unbalanced designs, and different random error distributions are built into the package.
Author: Brandon LeBeau [aut, cre]
Maintainer: Brandon LeBeau <lebebr01+simglm@gmail.com>

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Package semanticfa updated to version 0.5.0 with previous version 0.1.1 dated 2026-07-03

Title: Semantic Factor Analysis of Language Model Embeddings
Description: Performs exploratory factor analysis on language model embeddings of psychological scale items. Embeds item text with sentence transformers or other language models, transforms the embeddings into item-by-item similarity matrices, and extracts latent factor structure via standard exploratory factor analysis, using several similarity transforms (atomic reversed, SQuID centering, mean-centered Pearson) and fit diagnostics tailored to embedding matrices (TEFI, RMSR, CAF, McDonald's omega). Factor retention spans embedding-adapted parallel analysis, the empirical Kaiser criterion, Velicer's minimum average partial, a comparison-data misfit profile, and a calibrated learned rule that reports conformal intervals. Further tools orient factor axes toward retrieved construct terms by lexical target rotation, and audit whether a scale's items cover their construct's semantic region without collecting responses. The underlying methods are documented with full citations in the corresponding functi [...truncated...]
Author: Devon Yanitski [aut, cre] , Chris Westbury [aut]
Maintainer: Devon Yanitski <dyanitsk@ualberta.ca>

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Package buzzMed updated to version 0.1.4 with previous version 0.1.3 dated 2026-07-16

Title: Bayesian Understanding for Mediator Selection Framework
Description: A collection of quantitative tools for selecting mediating effects within exploratory Bayesian mediation models. The package accommodates both continuous and dichotomous outcomes, including the dependent variables and the mediators for identifying and analyzing mediation pathways.
Author: Dingjing Shi [aut, cre], Tansu Celikel [aut], Chih-Chia Hsing [aut], Dexin Shi [aut]
Maintainer: Dingjing Shi <dshi32@gatech.edu>

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Package xtdml updated to version 0.1.13 with previous version 0.1.12 dated 2026-03-13

Title: Double Machine Learning for Static Panel Models with Fixed Effects
Description: The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' follows the object-oriented architecture of 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> and uses the 'mlr3' ecosystem.
Author: Annalivia Polselli [aut, cre]
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>

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Package shiftR updated to version 1.6 with previous version 1.5 dated 2019-03-22

Title: Fast Enrichment Analysis via Circular Permutations
Description: Fast enrichment analysis for locally correlated statistics via circular permutations. The analysis can be performed at multiple significance thresholds for both primary and auxiliary data sets with efficient correction for multiple testing.
Author: Andrey A Shabalin [aut, cre] , Edwin J C G van den Oord [aut]
Maintainer: Andrey A Shabalin <andrey.shabalin@gmail.com>

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Package rush updated to version 1.3.0 with previous version 1.2.1 dated 2026-07-24

Title: Rapid Asynchronous and Distributed Computing
Description: Package to tackle large-scale problems asynchronously across a distributed network. Employing a database centric model, rush enables workers to communicate tasks and their results over a shared 'Redis' database. Key features include low task overhead, efficient caching, and robust error handling. The package powers the asynchronous optimization algorithms in the 'bbotk' and 'mlr3tuning' packages.
Author: Marc Becker [cre, aut, cph]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package inshiny updated to version 0.1.5 with previous version 0.1.4 dated 2026-03-31

Title: Compact Inline Widgets for 'shiny' Apps
Description: Provides a basic set of compact widgets for 'shiny' apps which occupy less space and can appear inline with surrounding text.
Author: Nick Davies [aut, cre]
Maintainer: Nick Davies <nicholas.davies@lshtm.ac.uk>

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Package LUCIDus updated to version 3.2.0 with previous version 3.1.0 dated 2026-03-11

Title: LUCID with Multiple Omics Data
Description: Implements Latent Unknown Clusters By Integrating Multi-omics Data (LUCID; Peng (2019) <doi:10.1093/bioinformatics/btz667>) for integrative clustering with exposures, multi-omics data, and health outcomes. Supports three integration strategies: early, parallel, and serial. Provides model fitting and tuning, lasso-type regularization for exposure and omics feature selection, handling of missing data, including both sporadic and complete-case patterns, prediction, and g-computation for estimating causal effects of exposures, bootstrap inference for uncertainty estimation, and S3 summary and plot methods. For the multi-omics integration framework, see Jia (2024) <https://journal.r-project.org/articles/RJ-2024-012/RJ-2024-012.pdf>. For the missing-data imputation mechanism, see Jia (2024) <doi:10.1093/bioadv/vbae123>.
Author: Qiran Jia [aut, cre] , Yinqi Zhao [aut] , David Conti [ths] , Jesse Goodrich [ctb]
Maintainer: Qiran Jia <qiranjia@usc.edu>

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Package grmtree updated to version 0.3.0 with previous version 0.2.2 dated 2026-08-22

Title: Recursive Partitioning for Graded Response Models
Description: Provides methods for recursive partitioning based on the 'Graded Response Model' ('GRM'), extending the 'MOB' algorithm from the 'partykit' package. The package allows for fitting 'GRM' trees that partition the population into homogeneous subgroups based on item response patterns and covariates. Includes specialized plotting functions for visualizing 'GRM' trees with different terminal node displays (threshold regions, parameter profiles, and factor score distributions). The package also implements the Longitudinal GRMTree for detecting response shift in PROMs measured at two time points, embedding a constrained two-factor longitudinal GRM within recursive partitioning, with post-hoc characterization of recalibration and reprioritization. Random-forest ensembles (`grmforest()`) with permutation variable importance are available for both the cross-sectional and longitudinal trees. For more details on the methods, see Samejima (1969) <doi:10.1002/J.2333-8504.1968.TB00153.X>, Komboz [...truncated...]
Author: Olayinka I. Arimoro [aut, cre] , Tolulope T. Sajobi [aut], Lisa M. Lix [aut], Matthew T. James [ctb], Maria Santana [ctb], Emmanuel Ugochukwu [ctb]
Maintainer: Olayinka I. Arimoro <olayinka.arimoro@ucalgary.ca>

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Package MazamaRollUtils updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-17

Title: Efficient Rolling Functions
Description: Fast rolling-window functions for numeric vectors. Designed for efficient processing of environmental time-series data.
Author: Jonathan Callahan [aut, cre], Hans Martin [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package kstMatrix updated to version 3.0-0 with previous version 2.3-4 dated 2026-07-15

Title: Basic Functions in Knowledge Space Theory Using Matrix Representation
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstMatrix' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces. Opposed to the 'kst' package, 'kstMatrix' uses matrix representations for knowledge structures. Furthermore, 'kstMatrix' contains several knowledge spaces obtained in the 1990s by the research group around Cornelia Dowling through querying experts.
Author: Cord Hockemeyer [aut, cre], Peter Steiner [aut], Wai Wong [aut]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

Diff between kstMatrix versions 2.3-4 dated 2026-07-15 and 3.0-0 dated 2026-09-01

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Package gseries updated to version 3.0.3 with previous version 3.0.2 dated 2025-06-18

Title: Improve the Coherence of Your Time Series Data
Description: 'R' version of 'G-Series', Statistics Canada's generalized system devoted to the benchmarking and reconciliation of time series data. The methods used in 'G-Series' essentially come from Dagum, E. B., and P. Cholette (2006) <doi:10.1007/0-387-35439-5>.
Author: Michel Ferland [aut, cre], Statistics Canada [cph, fnd]
Maintainer: Michel Ferland <michel.ferland@statcan.gc.ca>

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Package SimpleUpset updated to version 0.1.6 with previous version 0.1.5 dated 2026-06-30

Title: Create Upset Plots
Description: Create Upset plots using a combination of 'ggplot2' and 'patchwork'.
Author: Stevie Pederson [aut, cre] , Lachlan Baer [ctb]
Maintainer: Stevie Pederson <stephen.pederson.au@gmail.com>

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Package prodest updated to version 1.0.2 with previous version 1.0.1 dated 2018-06-19

Title: Production Function Estimation
Description: Implements the methods proposed by Olley, G.S. and Pakes, A. (1996) <doi:10.2307/2171831>, Levinsohn, J. and Petrin, A. (2003) <doi:10.1111/1467-937X.00246>, Ackerberg, D.A. and Caves, K. and Frazer, G. (2015) <doi:10.3982/ECTA13408> and Wooldridge, J.M. (2009) <doi:10.1016/j.econlet.2009.04.026> for structural productivity estimation.
Author: Gabriele Rovigatti [aut, cre]
Maintainer: Gabriele Rovigatti <gabriele.rovigatti@gmail.com>

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Package occCite updated to version 0.6.3 with previous version 0.6.2 dated 2026-06-29

Title: Querying and Managing Large Biodiversity Occurrence Datasets
Description: Facilitates the gathering of biodiversity occurrence data from disparate sources. Metadata is managed throughout the process to facilitate reporting and enhanced ability to repeat analyses.
Author: Hannah L. Owens [aut, cre] , Cory Merow [aut] , Brian Maitner [aut] , Jamie M. Kass [aut] , Vijay Barve [aut] , Robert P. Guralnick [aut] , Damiano Oldoni [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/407>)
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

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Package lt updated to version 0.4 with previous version 0.3 dated 2026-08-19

Title: Lightweight Tables via JSON Specs and JavaScript
Description: A lightweight grammar of tables. Build a table by declaring a JSON spec (titles, spanners, row groups, footnotes, formatting functions, etc.); a tiny vanilla JavaScript runtime builds the HTML table from the spec on page load. No 'sass', no 'V8', no 'htmlwidgets' — just base R and 'xfun' ('htmltools' is used only for the optional Shiny binding).
Author: Yihui Xie [aut, cre, cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package randomForestRHF updated to version 2.0.3 with previous version 2.0.0 dated 2026-08-28

Title: Random Hazard Forests
Description: Random Hazard Forests (RHF) extend Random Survival Forests (RSF) by directly estimating the hazard function and by accommodating time-dependent covariates through counting-process style inputs. The package fits tree ensembles for dynamic survival prediction, returning hazard, cumulative hazard, integrated hazard, and related performance summaries for training and test data. The methods build on Random Survival Forests described by Ishwaran et al. (2008) <doi:10.1214/08-AOAS169> and on nonparametric hazard modeling with time-dependent covariates described by Lee et al. (2021) <doi:10.1214/20-AOS2028>.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestRHF versions 2.0.0 dated 2026-08-28 and 2.0.3 dated 2026-09-01

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Package rmarkdown updated to version 2.32 with previous version 2.31 dated 2026-03-26

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] , Andrew Dun [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between rmarkdown versions 2.31 dated 2026-03-26 and 2.32 dated 2026-09-01

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Package MXM readmission to version 1.5.8 with previous version 1.5.5 dated 2022-08-25

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: Many feature selection methods for a wide range of response variables, including minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. References: a) Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). "Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets". Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>. b) Tsagris, M., Lagani, V. and Tsamardinos, I. (2018). "Feature selection for high-dimensional temporal data". BMC Bioinformatics, 19:17. <doi:10.1186/s12859-018-2023-7>. c) Tsagris, M., Borboudakis, G., Lagani, V. and Tsamardinos, I. (2018). "Constraint-based causal discovery with mixed data". International Journal of Data Science and Analytics, 6(1): 19-30. <doi:10.1007/s41060-018-0097-y&g [...truncated...]
Author: Konstantina Biza [aut], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Michail Tsagris [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb], Stavros Papadopoulos [cre]
Maintainer: Stavros Papadopoulos <staurospapflor@gmail.com>

This is a re-admission after prior archival of version 1.5.5 dated 2022-08-25

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Package int3ract updated to version 2.0.0 with previous version 1.0.7 dated 2026-05-05

Title: Johnson-Neyman Analysis of Two- and Three-Way Interactions
Description: Reports and plots the conditional effect of each variable involved in a multiplicative interaction across the range of its moderators, together with the region over which that effect is distinguishable from zero. Extends the classic framework of Johnson and Neyman (1936) and Johnson and Fay (1950) <doi:10.1007/BF02288864> to three-way interactions and to Bayesian models. The single entry point JN() dispatches on the fitted object, with methods for lm()/glm() models, 'lme4' models, 'RSiena' and 'multiSiena' results, and matrices of posterior draws; support for further model classes is added by writing one jn_input() method. Results are classed objects with print(), summary() and plot() methods, and the figures carry data-density panels showing how much empirical support each part of the moderator range has. A detailed introduction can be found in Krause (2026) <doi:10.48550/arXiv.2604.22051>.
Author: Robert W. Krause [aut, cre, cph]
Maintainer: Robert W. Krause <robert.w.krause@mailbox.org>

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Package httr updated to version 1.4.9 with previous version 1.4.8 dated 2026-02-13

Title: Tools for Working with URLs and HTTP
Description: Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(), etc). Configuration functions make it easy to control additional request components (authenticate(), add_headers() and so on).
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package ggtime updated to version 1.0.0 with previous version 0.2.0 dated 2026-02-09

Title: Grammar of Graphics and Plot Helpers for Time Series Visualization
Description: Extends the capabilities of 'ggplot2' by providing grammatical elements and plot helpers designed for visualizing temporal patterns. The package implements a grammar of temporal graphics, which leverages calendar structures to highlight changes over time. The package also provides plot helper functions to quickly produce commonly used time series graphics, including time plots, season plots, and seasonal sub-series plots.
Author: Mitchell O'Hara-Wild [aut, cre] , Cynthia A. Huang [aut] , Matthew Kay [aut] , Rob Hyndman [aut] , Earo Wang [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package gaussfacts updated to version 0.0.4 with previous version 0.0.3 dated 2026-08-23

Title: The Greatest Mathematician Since Antiquity
Description: Display a random fact about Carl Friedrich Gauss based on the collection curated by Mike Cavers via the <https://web.archive.org/web/*/gaussfacts.com> site.
Author: Dirk Eddelbuettel [aut, cre] , Mike Cavers [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between gaussfacts versions 0.0.3 dated 2026-08-23 and 0.0.4 dated 2026-09-01

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Package fsia updated to version 1.1.2 with previous version 1.1.1 dated 2017-06-23

Title: Import and Analysis of OMR Data from FormScanner
Description: Import data of tests and questionnaires from FormScanner. FormScanner is an open source software that converts scanned images to data using optical mark recognition (OMR) and it can be downloaded from <https://sourceforge.net/projects/formscanner/>. The spreadsheet file created by FormScanner is imported in a convenient format to perform the analyses provided by the package. These analyses include the conversion of multiple responses to binary (correct/incorrect) data, the computation of the number of corrected responses for each subject or item, scoring using weights,the computation and the graphical representation of the frequencies of the responses to each item and the report of the responses of a few subjects.
Author: Michela Battauz [aut, cre]
Maintainer: Michela Battauz <michela.battauz@uniud.it>

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Package connected updated to version 1.2 with previous version 1.1 dated 2025-03-05

Title: Visualize and Improve Connectedness of Factors in Tables
Description: Visualize the connectedness of factors in two-way tables. Perform two-way filtering to improve the degree of connectedness. See Weeks & Williams (1964) <doi:10.1080/00401706.1964.10490188>.
Author: Kevin Wright [aut, cre]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package tsgc updated to version 2.0.0 with previous version 0.0 dated 2024-08-26

Title: Time Series Methods Based on Growth Curves
Description: Provides tools for modelling and forecasting epidemic trajectories using a dynamic Gompertz model within a state space framework, with the Kalman filter for robust estimation of non-linear growth. Includes a reinitialization feature to adapt to new waves, and a leading-indicator extension that uses a related series moving ahead of the variable of interest (e.g. cases ahead of hospitalisations) to improve short-horizon forecasts, with model and lag selection via rolling-origin cross-validation. Applicable to data at daily, monthly, quarterly, or annual frequency, and to non-epidemic trajectories with similar dynamics, such as innovation diffusion and product adoption. Includes functions for data preprocessing, model fitting, forecast visualization, and accuracy evaluation using standard error measures. Methods are described in Harvey and Kattuman (2020) <doi:10.1162/99608f92.828f40de>, Harvey and Kattuman (2021) <doi:10.1098/rsif.2021.0179>, and Ashby, Harvey, Kattuman, Tang [...truncated...]
Author: Michael Ashby [aut, cre], Paul Kattuman [aut], Andrew Harvey [aut], Edwin Tang [aut], Craig Thamotheram [aut], Guglielmo Secchi [aut], Cambridge Centre for Health Leadership & Enterprise, Cambridge Judge Business School, University of Cambridge [fnd] [...truncated...]
Maintainer: Michael Ashby <mwa22@cam.ac.uk>

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Package spatialrisk updated to version 0.8.2 with previous version 0.8.1 dated 2026-06-16

Title: Spatial Concentration and Radius-Based Risk Calculations
Description: Provides computational building blocks for fixed-radius spatial aggregation, weighted circle-placement problems, hotspot detection, and polygon-based spatial summaries. The package focuses on efficient determination of the sum of observations within a given radius, identifying areas of high local concentration, and aggregating point data to polygon geometries. These methods are useful for applications such as insurance, urban analytics, environmental exposure analysis, and other spatial point pattern workflows. The fixed-radius circle placement problem is discussed by Chazelle and Lee (1986) <doi:10.1007/BF02238188>, and related maximum covering problems are described by Church (1974) <doi:10.1007/BF01942293>.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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 spatialrisk-0.8.2/spatialrisk/src/RcppExports.cpp                                     |   77 
 spatialrisk-0.8.2/spatialrisk/src/concentration_hotspot_indexed.cpp                   | 1196 +++++++++-
 spatialrisk-0.8.2/spatialrisk/tests/testthat/test-concentration-hotspot-indexed.R     |    8 
 spatialrisk-0.8.2/spatialrisk/tests/testthat/test-concentration-hotspot-pair-refine.R |  315 ++
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More information about spatialrisk at CRAN
Permanent link

Package see updated to version 0.14.2 with previous version 0.14.1 dated 2026-06-29

Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Description: Provides plotting utilities supporting packages in the 'easystats' ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, inv] , Indrajeet Patil [aut] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Philip Waggoner [aut, ctb] , Jeffrey R. Stevens [ctb] , Julius Bogomolo [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between see versions 0.14.1 dated 2026-06-29 and 0.14.2 dated 2026-09-01

 DESCRIPTION                                         |   20 ++-
 MD5                                                 |  104 ++++++++++----------
 NEWS.md                                             |   29 ++++-
 R/geom_from_list.R                                  |    1 
 R/plot.bayesfactor_models.R                         |   46 +++++---
 R/plot.binned_residuals.R                           |   13 +-
 R/plot.check_collinearity.R                         |   14 +-
 R/plot.check_heteroscedasticity.R                   |   45 ++++++--
 R/plot.check_homogeneity.R                          |    4 
 R/plot.check_model.R                                |   14 +-
 R/plot.check_normality.R                            |   45 +++++---
 R/plot.check_outliers.R                             |   10 +
 R/plot.check_outliers.dots.R                        |   10 -
 R/plot.check_overdisp.R                             |   16 ++-
 R/plot.check_predictions.R                          |   46 +++++---
 R/plot.compare_parameters.R                         |    2 
 R/plot.compare_performance.R                        |   10 +
 R/plot.estimate_density.R                           |   16 ++-
 R/plot.means_by_group.R                             |   14 ++
 R/plot.p_function.R                                 |   18 ++-
 R/plot.parameters_brms_meta.R                       |   10 +
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 tests/testthat/test-plot.check_heteroscedasticity.R |   51 +++++++++
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 tests/testthat/test-plot.compare_performance.R      |   15 ++
 tests/testthat/test-plot.describe_distribution.R    |   14 ++
 tests/testthat/test-plot.dw_data_tabulate.R         |   13 ++
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 tests/testthat/test-plot.point_estimates.R          |   32 ++++++
 tests/testthat/test-plot.rope.R                     |   32 ++++++
 tests/testthat/test-vdiffr_check_model.R            |   22 ++++
 tests/testthat/test-vdiffr_check_predictions.R      |   10 +
 54 files changed, 642 insertions(+), 212 deletions(-)

More information about see at CRAN
Permanent link

Package hBayesDM readmission to version 2.0.0 with previous version 1.2.1 dated 2022-09-23

Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Description: Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding (Ahn et al., 2017) <doi:10.1162/CPSY_a_00002>.
Author: CCS Lab [cre], Woo-Young Ahn [aut], Nate Haines [aut], Lei Zhang [aut], Jinwoo Jeong [ctb], Harhim Park [ctb], Jaeyeong Yang [ctb], Jethro Lee [ctb]
Maintainer: CCS Lab <ccsl.snu@gmail.com>

This is a re-admission after prior archival of version 1.2.1 dated 2022-09-23

Diff between hBayesDM versions 1.2.1 dated 2022-09-23 and 2.0.0 dated 2026-09-01

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Package ExpDesignR updated to version 1.0.0 with previous version 0.1.0 dated 2026-08-27

Title: Experimental Design and Randomization Methods for Biomedical and Veterinary Research
Description: Provides reproducible methods for experimental design and treatment allocation in biomedical, veterinary, agricultural, and clinical research. Includes simple, fixed-block, variable-block, stratified, stratified-block, cluster, matched-pair, restricted, minimization, and covariate-adaptive randomization, together with completely randomized, randomized-block, factorial, split-plot, Latin square, and crossover designs. Also provides allocation summaries, balance diagnostics, schedule export, and visualization. The methods are based on established principles of randomization and experimental design; see Rosenberger and Lachin (2015, ISBN:9781118742242) and Jones and Kenward (2014, ISBN:9781439861424).
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>

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Package BATSS updated to version 1.2.1 with previous version 1.2.0 dated 2026-05-28

Title: Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models
Description: Defines operating characteristics of Bayesian Adaptive Trials considering a generalised linear model response via Monte Carlo simulations of Bayesian GLM fitted via integrated Laplace approximations (INLA).
Author: Dominique-Laurent Couturier [aut, cre] , Liz Ryan [aut] , Rainer Puhr [aut], Thomas Jaki [aut] , Stephane Heritier [aut]
Maintainer: Dominique-Laurent Couturier <dominique.couturier@mrc-bsu.cam.ac.uk>

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Package osmdata updated to version 0.4.1 with previous version 0.4.0 dated 2026-06-15

Title: Import 'OpenStreetMap' Data as Simple Features or Spatial Objects
Description: Download and import of 'OpenStreetMap' ('OSM') data as 'sf' or 'sp' objects. 'OSM' data are extracted from the 'Overpass' web server (<https://overpass-api.de/>) and processed with very fast 'C++' routines for return to 'R'.
Author: Joan Maspons [aut, cre] , Mark Padgham [aut], Bob Rudis [aut], Robin Lovelace [aut], Maelle Salmon [aut], Andrew Smith [ctb], James Smith [ctb], Andrea Gilardi [ctb], Enrico Spinielli [ctb], Anthony North [ctb], Martin Machyna [ctb], Marcin Kalicinsk [...truncated...]
Maintainer: Joan Maspons <joanmaspons@gmail.com>

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Package mLLMCelltype updated to version 2.0.8 with previous version 2.0.7 dated 2026-07-21

Title: Cell Type Annotation Using Large Language Models
Description: Automated cell type annotation for single-cell RNA sequencing data using consensus predictions from multiple large language models. Integrates with Seurat objects and provides uncertainty quantification for annotations. Supports various LLM providers including OpenAI, Anthropic, and Google. For details see Yang et al. (2026) <doi:10.1038/s42003-026-10420-8>.
Author: Chen Yang [aut, cre, cph]
Maintainer: Chen Yang <cafferychen777@tamu.edu>

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Package Keng updated to version 2026.9.0 with previous version 2026.3.19 dated 2026-03-19

Title: Knock Errors Off Nice Guesses
Description: Miscellaneous functions and data used in psychological research and teaching. Keng currently has four built-in datasets, and could (1) scale a vector; (2) divide a vector into three groups, (3) compute the cut-off values of Pearson's r with known sample size; (4) test the significance and compute the post-hoc power for Pearson's r with known sample size; (5) conduct a priori power analysis and plan the sample size for Pearson's r; (6) compare lm()'s fitted outputs using R-squared, f_squared, post-hoc power, and PRE (Proportional Reduction in Error, also called partial R-squared or partial Eta-squared); (7) calculate PRE from partial correlation, Cohen's f, or f_squared; (8) conduct a priori power analysis and plan the sample size for one or a set of predictors in regression analysis; (9) conduct post-hoc power analysis for one or a set of predictors in regression analysis with known sample size; (10) randomly pick numbers for Chinese Super Lotto and Double Color Balls; (11) assess cour [...truncated...]
Author: Qingyao Zhang [aut, cre]
Maintainer: Qingyao Zhang <qingyaozhang@outlook.com>

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Package insurancerating updated to version 0.8.2 with previous version 0.8.1 dated 2026-07-30

Title: Actuarial Tools for Insurance Pricing Models
Description: Provides actuarial tools and building blocks for analysing, modelling, refining, and validating insurance rating models. Designed to support common GLM-based pricing tasks and the translation of statistical model output into practical tariff structures. The package supports the construction of insurance tariff classes using a data-driven approach, based on the methodology of Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package distspec updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-07

Title: Probability Distributions with Certain or Uncertain Parameters
Description: Represents probability distributions with fixed or potentially uncertain parameters, with tools to discretise, convolve, sample from and summarise them.
Author: Sebastian Funk [aut, cre] , James M. Azam [aut] , Sam Abbott [aut]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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Package xpose.xtras updated to version 0.2.2 with previous version 0.2.0 dated 2026-07-26

Title: Extra Functionality for the 'xpose' Package
Description: Adding some at-present missing functionality, or functions unlikely to be added to the base 'xpose' package. This includes some diagnostic plots that have been missing in translation from 'xpose4', but also some useful features that truly extend the capabilities of what can be done with 'xpose'. These extensions include the concept of a set of 'xpose' objects, and diagnostics for likelihood-based models.
Author: John Prybylski [aut, cre, cph]
Maintainer: John Prybylski <jprybylski@gmail.com>

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Package pdftools updated to version 3.9.1 with previous version 3.9.0 dated 2026-05-14

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' <https://poppler.freedesktop.org> for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package messydates updated to version 1.1.1 with previous version 1.1.0 dated 2026-07-27

Title: A Flexible Class for Messy Dates
Description: Contains a set of tools for constructing and coercing into and from the "mdate" class. This date class implements ISO 8601-2:2019(E) and allows regular dates and times to be annotated to express unspecified date or time components, approximate or uncertain components, ranges, and sets of dates. The package therefore retains, represents, and reasons about data and time imprecision, resolving to a single data/time only on demand. This is useful for describing and analysing temporal information, whether historical or recent, where date or time precision may vary.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Nathan Werth [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package logtree updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-06

Title: Tree-Style Console Logger for Nested Processes
Description: Render nested process execution as a live, colored tree in the console, with tree connectors, status glyphs, and elapsed time per step. Nesting depth is tracked via frame exit handlers so it never desynchronizes, even when a step errors. Builds on the 'cli' package for console rendering.
Author: Ivan Sortino [aut, cre, cph]
Maintainer: Ivan Sortino <ivan.sortino97@gmail.com>

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Package envnames updated to version 0.4.2 with previous version 0.4.1 dated 2020-12-08

Title: Track User-Defined Environment Names
Description: Set of functions to keep track and find objects in user-defined environments by identifying environments by name --which cannot be retrieved with the built-in function environmentName(). The package also provides functionality to obtain simplified information about function calling chains and to get an object's memory address.
Author: Daniel Mastropietro [aut, cre]
Maintainer: Daniel Mastropietro <mastropi@uwalumni.com>

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Package performance updated to version 0.18.1 with previous version 0.18.0 dated 2026-08-28

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

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Package nlme updated to version 3.1-171 with previous version 3.1-170 dated 2026-07-15

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: Jose Pinheiro [aut] , Douglas Bates [aut] , Saikat DebRoy [ctb] , Deepayan Sarkar [ctb] , EISPACK authors [ctb] , Siem Heisterkamp [ctb] , Bert Van Willigen [ctb] , Johannes Ranke [ctb] ), R Core Team [aut, cre]
Maintainer: R Core Team <R-core@R-project.org>

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Package ggplate updated to version 0.4.0 with previous version 0.3.1 dated 2026-05-11

Title: Create Layout Plots of Biological Culture Plates and Microplates
Description: Enables users to create simple plots of biological culture plates as well as microplates. Both continuous and discrete values can be plotted onto the plate layout.
Author: Jan-Philipp Quast [aut, cre]
Maintainer: Jan-Philipp Quast <jpquast.software@gmail.com>

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Package clipp updated to version 1.2.0 with previous version 1.1.1 dated 2022-07-12

Title: Calculating Likelihoods by Pedigree Paring
Description: A fast and general implementation of the Elston-Stewart algorithm that can calculate the likelihoods of large and complex pedigrees. References for the Elston-Stewart algorithm are Elston & Stewart (1971) <doi:10.1159/000152448>, Lange & Elston (1975) <doi:10.1159/000152714> and Cannings et al. (1978) <doi:10.2307/1426718>.
Author: James Dowty [aut, cre], Kevin Wong [aut]
Maintainer: James Dowty <jgdowty@gmail.com>

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Package bit64 updated to version 4.8.6 with previous version 4.8.4 dated 2026-08-20

Title: A S3 Class for Vectors of 64bit Integers
Description: Package 'bit64' provides serializable S3 atomic 64bit (signed) integers. These are useful for handling database keys and exact counting in +-2^63. WARNING: do not use them as replacement for 32bit integers, integer64 are not supported for subscripting by R-core and they have different semantics when combined with double, e.g. integer64 + double => integer64. Class integer64 can be used in vectors, matrices, arrays and data.frames. Methods are available for coercion from and to logicals, integers, doubles, characters and factors as well as many elementwise and summary functions. Many fast algorithmic operations such as 'match' and 'order' support inter- active data exploration and manipulation and optionally leverage caching.
Author: Michael Chirico [aut, cre], Jens Oehlschlaegel [aut], Leonardo Silvestri [ctb], Ofek Shilon [ctb], Christian Ullerich [ctb]
Maintainer: Michael Chirico <michaelchirico4@gmail.com>

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Package reactRouter updated to version 0.2.1 with previous version 0.2.0 dated 2026-05-10

Title: 'React Router' for 'shiny' Apps and 'Quarto'
Description: Provides a wrapper around the 'react-router-dom' 'React' library for use in 'Shiny' applications and 'Quarto' documents. Enables client-side routing with hash, memory, and browser history strategies, nested routes, dynamic segments, data loaders, actions, and navigation hooks.
Author: Felix Luginbuhl [aut, cre, cph] , Andryas Waurzenczak [ctb]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package pbapply updated to version 1.7-5 with previous version 1.7-4 dated 2025-07-20

Title: Adding Progress Bar to '*apply' Functions
Description: A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Supports several parallel processing backends including mirai and future.
Author: Peter Solymos [aut, cre] , Zygmunt Zawadzki [aut], Henrik Bengtsson [ctb], R Core Team [cph, ctb]
Maintainer: Peter Solymos <psolymos@gmail.com>

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Package densemlp updated to version 0.7.1 with previous version 0.6.0 dated 2026-08-21

Title: Dense Neural Networks for Tabular Regression, Classification and Survival
Description: Dense feed-forward neural networks (multilayer perceptrons) for tabular regression, classification and survival analysis, with a formula or x/y interface. Supports residual and gated hidden blocks, batch normalization, per-layer dropout, learned cross-feature interactions, exponential moving-average weights, learning-rate schedules, internal bootstrap ensembles and Adam optimization. Survival outcomes are trained with either a batch-wise Breslow-tie Cox partial likelihood or a discrete-time inverse-probability-of-censoring-weighted integrated Brier score. The numerical kernels are implemented natively in C++ via 'RcppArmadillo', with no external deep learning framework dependency (no 'torch' / 'libtorch'). Companion helpers provide k-fold cross-validation, hyperparameter search and task-aware evaluation metrics.
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package SeuratExplorer updated to version 0.1.8 with previous version 0.1.6 dated 2026-06-17

Title: An 'Shiny' App for Exploring scRNA-seq Data Processed in 'Seurat'
Description: A simple, one-command package which runs an interactive dashboard capable of common visualizations for single cell RNA-seq. 'SeuratExplorer' requires a processed 'Seurat' object, which is saved as 'rds' or 'qs2' file.
Author: Yongchao Zhang [aut, cre]
Maintainer: Yongchao Zhang <zhangyongchao@nibs.ac.cn>

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Package poisFErobust updated to version 2.0.1 with previous version 2.0.0 dated 2020-02-17

Title: Poisson Fixed Effects Robust
Description: Computation of robust standard errors of Poisson fixed effects models, following Wooldridge (1999).
Author: Evan Wright [aut, cre]
Maintainer: Evan Wright <enwright@umich.edu>

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Package phontrast updated to version 2.4.1 with previous version 2.4.0 dated 2026-08-21

Title: Contrast and Separation Metrics for Phonological Categories
Description: Computes and compares multiple measures of separation and overlap between phonological categories (for example vowels or consonants) in arbitrary multi-dimensional acoustic spaces such as formant values, mel-frequency cepstral coefficients (MFCCs), duration, or learned embeddings. The main entry point, phontrast(), reports several contrast metrics in one call -- Jensen-Shannon divergence and distance (Lin, 1991) <doi:10.1109/18.61115>, the Pillai-Bartlett trace, Bhattacharyya distance and affinity, Mahalanobis distance, and proportional overlap -- globally or by group on a common separation-oriented scale, with bootstrap confidence intervals. Also provides utilities for preparing estimates for downstream modelling such as generalized additive models and mixed-effects models. Formerly released as 'phonJSD'.
Author: Grant M. Berry [aut, cre]
Maintainer: Grant M. Berry <berry.grant@gmail.com>

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Package outcomerate updated to version 1.1.0 with previous version 1.0.1 dated 2018-10-06

Title: AAPOR Survey Outcome Rates
Description: Standardized survey outcome rate functions, including the response rate, contact rate, cooperation rate, and refusal rate. These outcome rates allow survey researchers to measure the quality of survey data using definitions published by the American Association for Public Opinion Research (AAPOR). For details on these standards, see AAPOR (2023) <https://aapor.org/wp-content/uploads/2024/03/Standards-Definitions-10th-edition.pdf>.
Author: Rafael Pilliard Hellwig [aut, cre] , Carl Ganz [rev], Neal Richardson [rev]
Maintainer: Rafael Pilliard Hellwig <rafael.taph@gmail.com>

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Package NHANES updated to version 2.1.4 with previous version 2.1.0 dated 2015-07-02

Title: Data from the US National Health and Nutrition Examination Study
Description: Body Shape and related measurements from the US National Health and Nutrition Examination Survey (NHANES, 1999-2004). See <https://www.cdc.gov/nchs/nhanes/index.html> for details.
Author: Randall Pruim [aut, cre]
Maintainer: Randall Pruim <rpruim@gmail.com>

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Package detect updated to version 0.5-2 with previous version 0.5-1 dated 2026-01-08

Title: Analyzing Wildlife Data with Detection Error
Description: Models for analyzing site occupancy and count data models with detection error, including single-visit based models (Lele et al. 2012 <doi:10.1093/jpe/rtr042>, Moreno et al. 2010 <doi:10.1890/09-1073.1>, Solymos et al. 2012 <doi:10.1002/env.1149>, Denes et al. 2016 <doi:10.1111/1365-2664.12818>), conditional distance sampling and time-removal models (QPAD) (Solymos et al. 2013 <doi:10.1111/2041-210X.12106>, Solymos et al. 2018 <doi:10.1650/CONDOR-18-32.1>), and single bin QPAD (SQPAD) models (Lele & Solymos 2025 <doi:10.1093/ornithapp/duaf078>). Package development was supported by the Alberta Biodiversity Monitoring Institute and the Boreal Avian Modelling Project.
Author: Peter Solymos [aut, cre] , Monica Moreno [aut], Subhash R. Lele [aut], Steven L. Van Wilgenburg [ctb]
Maintainer: Peter Solymos <psolymos@gmail.com>

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Package confidenceSim readmission to version 0.1.1 with previous version 0.1.0 dated 2025-10-25

Title: Highly Customizable, Parallelized Simulations of Frequentist Confidence Clinical Trials
Description: Simulate one or many frequentist confidence clinical trials based on a specified set of parameters. From a two-arm, single-stage trial to a perpetually run Adaptive Platform Trial, this package offers vast flexibility to customize your trial and observe operational characteristics over thousands of instances.
Author: Freda Werdiger [aut, cre]
Maintainer: Freda Werdiger <freda.werdiger@unimelb.edu.au>

This is a re-admission after prior archival of version 0.1.0 dated 2025-10-25

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Package CausalQueries updated to version 1.4.6 with previous version 1.4.5 dated 2026-01-29

Title: Make, Update, and Query Binary Causal Models
Description: Users can declare causal models over binary nodes, update beliefs about causal types given data, and calculate arbitrary queries. Updating is implemented in 'stan'. See Tietz, Medina, Syunyaev and Humphreys (2026) <doi:10.18637/jss.v117.i01>, Humphreys and Jacobs (2023) <doi:10.1017/9781316718636> and Pearl (2009) <doi:10.1017/CBO9780511803161>.
Author: Clara Bicalho [ctb], Jasper Cooper [ctb], Macartan Humphreys [aut] , Till Tietz [aut, cre] , Alan Jacobs [aut], Merlin Heidemanns [ctb], Lily Medina [aut] , Julio Solis [ctb], Georgiy Syunyaev [aut] , Moritz Marbach [ctb]
Maintainer: Till Tietz <ttietz2014@gmail.com>

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Mon, 31 Aug 2026

Package xportr updated to version 0.6.0 with previous version 0.5.0 dated 2026-01-13

Title: Utilities to Output CDISC SDTM/ADaM XPT Files
Description: Tools to build CDISC compliant data sets and check for CDISC compliance.
Author: Eli Miller [aut, cre] , Ben Straub [aut], Zelos Zhu [aut], Ethan Brockmann [aut], Vedha Viyash [aut], Andre Verissimo [aut], Sophie Shapcott [aut], Celine Piraux [aut], Kangjie Zhang [aut], Adrian Chan [aut], Sadchla Mascary [aut], Seunghyun Kim [aut [...truncated...]
Maintainer: Eli Miller <Eli.Miller@AtorusResearch.com>

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Package lobstr updated to version 1.2.2 with previous version 1.2.1 dated 2026-04-04

Title: Visualize R Data Structures with Trees
Description: A set of tools for inspecting and understanding R data structures inspired by str(). Includes ast() for visualizing abstract syntax trees, ref() for showing shared references, cst() for showing call stack trees, and obj_size() for computing object sizes.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between lobstr versions 1.2.1 dated 2026-04-04 and 1.2.2 dated 2026-08-31

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Package tikatuwq updated to version 0.10.0 with previous version 0.9.0 dated 2026-06-09

Title: Water Quality Assessment and Environmental Compliance in Brazil
Description: Tools to import, clean, validate, and analyze freshwater quality data in Brazil. Implements water quality indices including the Water Quality Index ('WQI'/'IQA') using the weighted geometric mean following 'CETESB' methodology, the Trophic State Index ('TSI'/'IET') after Carlson (1977) <doi:10.4319/lo.1977.22.2.0361> and Lamparelli (2004) <https://teses.usp.br/teses/disponiveis/41/41134/tde-20032006-075813/publico/TeseLamparelli2004.pdf>, and the National Sanitation Foundation Water Quality Index ('NSF WQI', Brown (1970)). The package also checks compliance with Brazilian standard 'CONAMA' Resolution 357/2005 <https://conama.mma.gov.br/?id=450&option=com_sisconama&task=arquivo.download> including the legal frequency rule (Art. 15, 80% conformity over six or more samples per year), and provides seasonal analysis with regional flow-season calendars, pollutant load computation, exceedance probability estimation, 'IET' visualization, and multivariate 'PCA' tools f [...truncated...]
Author: Vinicius Saraiva Santos [aut, cre] , Fabricio Berton Zanchi [ctb]
Maintainer: Vinicius Saraiva Santos <vinisaraiva@gmail.com>

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Package riskPredictClustData updated to version 0.2.7 with previous version 0.2.6 dated 2018-11-28

Title: Assessing Risk Predictions for Clustered Data
Description: Assessing and comparing risk prediction rules for clustered data. The method is based on the paper: Rosner B, Qiu W, and Lee MLT.(2013) <doi: 10.1007/s10985-012-9240-6>.
Author: Bernard Rosner [aut, ctb], Weiliang Qiu [aut, cre], Meiling T. Lee [aut, ctb]
Maintainer: Weiliang Qiu <Weiliang.Qiu@gmail.com>

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Package dgraphs updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-20

Title: Data-Derived Graph Construction Utilities
Description: Constructs data-derived graphs from numerical observations using mutual, shared-neighbor, intersection, geodesic, radius, adaptive-radius, and minimum-spanning-tree completion methods. Provides graph conversion, pruning, diagnostics, spectral embedding, endpoint detection, and path utilities. The implemented graph constructions include methods described by Jarvis and Patrick (1973) <doi:10.1109/T-C.1973.223640>, Brito et al. (1997) <doi:10.1016/S0167-7152(96)00213-1>, Berry and Sauer (2019) <doi:10.3934/fods.2019001>, and Gower and Ross (1969) <doi:10.2307/2346439>.
Author: Pawel Gajer [aut, cre], Sunil Arya [ctb] , David M. Mount [ctb] , University of Maryland [cph] , Yixuan Qiu [ctb, cph] , Anna Araslanova [ctb, cph] , Gael Guennebaud [ctb, cph] , Jitse Niesen [ctb, cph] , Netherlands eScience Center [ctb, cph]
Maintainer: Pawel Gajer <pgajer@gmail.com>

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Package afttest updated to version 4.6.1 with previous version 4.5.3 dated 2026-03-22

Title: Model Diagnostics for Accelerated Failure Time Models
Description: A collection of model checking methods for semiparametric accelerated failure time (AFT) models under the rank-based approach. For the (computational) efficiency, Gehan's weight is used. It provides functions to verify whether the observed data fit the specific model assumptions such as a functional form of each covariate, a link function, and an omnibus test. The p-value offered in this package is based on the Kolmogorov-type supremum test and the variance of the proposed test statistics is estimated through the re-sampling method. Furthermore, a graphical technique to compare the shape of the observed residual to a number of the approximated realizations is provided. See the following references; A general model-checking procedure for semiparametric accelerated failure time models, Statistics and Computing, 34 (3), 117 <doi:10.1007/s11222-024-10431-7>; Diagnostics for semiparametric accelerated failure time models with R package 'afttest', Journal of Statistical Software, to ap [...truncated...]
Author: Woojung Bae [aut, cre] , Dongrak Choi [aut] , Jun Yan [aut] , Sangwook Kang [aut]
Maintainer: Woojung Bae <matt.woojung@gmail.com>

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Package wdm updated to version 0.3.0 with previous version 0.2.6 dated 2025-01-07

Title: Weighted Dependence Measures
Description: Provides efficient implementations of weighted dependence measures and related asymptotic tests for independence. Implemented measures are the Pearson correlation, Spearman's rho, Kendall's tau, Blomqvist's beta, Hoeffding's D, and Chatterjee's xi; see, e.g., Nelsen (2006) <doi:10.1007/0-387-28678-0>, Hollander et al. (2015, ISBN:9780470387375), and Chatterjee (2021) <doi:10.1080/01621459.2020.1758115>.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>

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Package unsurv updated to version 0.7.0 with previous version 0.5.0 dated 2026-03-17

Title: Unsupervised Clustering of Individualized Survival Curves
Description: Tools for clustering individualized survival curves using the Partitioning Around Medoids (PAM) algorithm, with monotonic enforcement, optional smoothing, weighted distances (L1/L2), automatic K selection via silhouette width, prediction for new curves, basic stability checks, and plotting helpers. The method is described in El Badisy (2026) <doi:10.1093/bioadv/vbag218>.
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package snowflakeauth updated to version 0.3.0 with previous version 0.2.2 dated 2026-02-25

Title: Authentication Helpers for 'Snowflake'
Description: Authentication helpers for 'Snowflake'. It provides compatibility with authentication approaches supported by the 'Snowflake Connector for Python' <https://pypi.org/project/snowflake-connector-python> and the 'Snowflake CLI' <https://pypi.org/project/snowflake-cli>.
Author: Aaron Jacobs [aut], E. David Aja [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: E. David Aja <david@posit.co>

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Package ruv updated to version 0.9.7.2 with previous version 0.9.7.1 dated 2019-08-30

Title: Detect and Remove Unwanted Variation using Negative Controls
Description: Implements the 'RUV' (Remove Unwanted Variation) algorithms. These algorithms attempt to adjust for systematic errors of unknown origin in high-dimensional data. The algorithms were originally developed for use with genomic data, especially microarray data, but may be useful with other types of high-dimensional data as well. These algorithms were proposed in Gagnon-Bartsch and Speed (2012) <doi:10.1093/nar/gkz433>, Gagnon-Bartsch, Jacob and Speed (2013), and Molania, et. al. (2019) <doi:10.1093/nar/gkz433>. The algorithms require the user to specify a set of negative control variables, as described in the references. The algorithms included in this package are 'RUV-2', 'RUV-4', 'RUV-inv', 'RUV-rinv', 'RUV-I', and RUV-III', along with various supporting algorithms.
Author: Johann Gagnon-Bartsch [aut, cre]
Maintainer: Johann Gagnon-Bartsch <johanngb@umich.edu>

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Package roads readmission to version 1.2.2 with previous version 1.2.1 dated 2026-01-16

Title: Road Network Projection
Description: Iterative least cost path and minimum spanning tree methods for projecting forest road networks. The methods connect a set of target points to an existing road network using 'igraph' <https://igraph.org> to identify least cost routes. The cost of constructing a road segment between adjacent pixels is determined by a user supplied weight raster and a weight function; options include the average of adjacent weight raster values, and a function of the elevation differences between adjacent cells that penalizes steep grades. These road network projection methods are intended for integration into R workflows and modelling frameworks used for forecasting forest change, and can be applied over multiple time-steps without rebuilding a graph at each time-step.
Author: Sarah Endicott [aut, cre] , Kyle Lochhead [aut], Josie Hughes [aut], Patrick Kirby [aut], Her Majesty the Queen in Right of Canada as represented by the Minister of the Environment [cph] , Province of British Columbia [cph]
Maintainer: Sarah Endicott <sarah.endicott@ec.gc.ca>

This is a re-admission after prior archival of version 1.2.1 dated 2026-01-16

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Package RKorAPClient updated to version 1.3.0 with previous version 1.2.1 dated 2025-10-09

Title: 'KorAP' Web Service Client Package
Description: A client package that makes the 'KorAP' web service API accessible from R. The corpus analysis platform 'KorAP' has been developed as a scientific tool to make potentially large, stratified and multiply annotated corpora, such as the 'German Reference Corpus DeReKo' or the 'Corpus of the Contemporary Romanian Language CoRoLa', accessible for linguists to let them verify hypotheses and to find interesting patterns in real language use. The 'RKorAPClient' package provides access to 'KorAP' and the corpora behind it for user-created R code, as a programmatic alternative to the 'KorAP' web user-interface. You can learn more about 'KorAP' and use it directly on 'DeReKo' at <https://korap.ids-mannheim.de/>.
Author: Marc Kupietz [aut, cre], Nils Diewald [ctb], Leibniz Institute for the German Language [cph, fnd]
Maintainer: Marc Kupietz <kupietz@ids-mannheim.de>

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Package rifexpectile updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-30

Title: Density-Free RIF Decompositions for Unconditional Expectiles
Description: Implements a density-free recentered influence function (RIF) regression framework for unconditional expectiles, and embeds it in a two-sample Oaxaca-Blinder decomposition indexed continuously by the expectile level. Unlike quantile-based RIF decompositions, which require estimating an inverse density term at each quantile, the expectile RIF depends only on primitive moments of the outcome distribution and requires no density estimation, no bandwidth selection, and no kernel smoothing. The package provides expectile estimation by iteratively reweighted least squares, closed-form RIF construction, two-sample composition/structure decomposition across a grid of expectile levels, bootstrap-based inference, and plotting methods. The underlying methodology is described in Ndoye (2025), "Semi-Nonparametric Expectile RIF Regression for Distributional Decomposition," presented at the 2025 World Congress of the Econometric Society, Seoul, Korea, <https://www.econometricsociety.org/regional-a [...truncated...]
Author: Abdoul Aziz Ndoye [aut, cre]
Maintainer: Abdoul Aziz Ndoye <abdoulaziz1.ndoye@gmail.com>

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Package RapidFuzz updated to version 1.1.1 with previous version 1.1.0 dated 2026-04-07

Title: String Similarity Computation Using 'RapidFuzz'
Description: Provides a high-performance interface for calculating string similarities and distances, leveraging the efficient library 'RapidFuzz' <https://github.com/rapidfuzz/rapidfuzz-cpp>. This package integrates the 'C++' implementation, allowing 'R' users to access cutting-edge algorithms for fuzzy matching and text analysis. Supported metrics include Levenshtein, Damerau-Levenshtein, Hamming, Jaro, Jaro-Winkler, Longest Common Subsequence (LCS), Optimal String Alignment (OSA), Indel, Prefix, and Postfix distances and similarities, as well as multiple fuzzy matching ratios.
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Marcos Wasilew [aut], Carlos Amorim [aut], Diogo Bezerra [aut], Max Bachmann [ctb], Adam Cohen [ctb]
Maintainer: Andre Leite <leite@castlab.org>

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Package pre updated to version 1.1.0 with previous version 1.0.9 dated 2026-06-09

Title: Prediction Rule Ensembles
Description: Fits prediction rule ensembles (PREs). Largely follows the procedure for deriving PREs as described in Friedman & Popescu (2008; <DOI:10.1214/07-AOAS148>), with adjustments and improvements described in Fokkema (2020; <DOI:10.18637/jss.v092.i12>) and Fokkema & Strobl (2020; <DOI:10.1037/met0000256>). The main function pre() derives prediction rule ensembles consisting of rules and/or linear terms for continuous, binary, count, multinomial, survival and multivariate continuous responses. Function gpe() derives generalized prediction ensembles, consisting of rules, hinge and linear functions of the predictor variables.
Author: Marjolein Fokkema [aut, cre], Benjamin Christoffersen [aut], Giorgio Spadaccini [ctb]
Maintainer: Marjolein Fokkema <m.fokkema@fsw.leidenuniv.nl>

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Package pkgfilecache updated to version 0.4.1 with previous version 0.2.0 dated 2026-08-21

Title: Download and Manage Optional Package Data
Description: Manage optional data for your package. The data can be hosted anywhere, and you have to give a Uniform Resource Locator (URL) for each file. File integrity checks are supported. This is useful for package authors who need to ship more than the 5 Megabyte of data currently allowed by the the Comprehensive R Archive Network (CRAN). Download functions are supposed to be called by users in interactive sessions only.
Author: Tim Schaefer [aut, cre]
Maintainer: Tim Schaefer <ts+code@rcmd.org>

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Package party updated to version 1.3-23 with previous version 1.3-22 dated 2026-08-21

Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available. The methods are described in Hothorn et al. (2006) <doi:10.1198/106186006X133933>, Zeileis et al. (2008) <d [...truncated...]
Author: Torsten Hothorn [aut, cre] , Kurt Hornik [aut] , Carolin Strobl [aut] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package OptimalBinningWoE updated to version 1.13.5 with previous version 1.13.4 dated 2026-08-26

Title: Optimal Binning and Weight of Evidence Framework for Modeling
Description: High-performance implementation of 37 optimal binning algorithms (16 categorical, 21 numerical) for Weight of Evidence ('WoE') transformation, credit scoring, and risk modeling. Includes advanced methods such as Mixed Integer Linear Programming ('MILP'), Genetic Algorithms, Simulated Annealing, and Monotonic Regression. Features automatic method selection based on Information Value ('IV') maximization, strict monotonicity enforcement, and efficient handling of large datasets via 'Rcpp'. Provides automated variable screening by Information Value strength and bin ordering, and generation of the equivalent 'SQL' 'CASE' expressions for in-database scoring. Fully integrated with the 'tidymodels' ecosystem for building robust machine learning pipelines. Based on methods described in Siddiqi (2006) <doi:10.1002/9781119201731> and Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025>.
Author: Jose Evandeilton Lopes [aut, cre, cph]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

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Package NPCDTools updated to version 1.2.0 with previous version 1.1.0 dated 2026-03-03

Title: The Nonparametric Classification Methods for Cognitive Diagnosis
Description: Statistical tools for analyzing cognitive diagnosis (CD) data collected from small settings using the nonparametric classification (NPCD) framework. The core methods of the NPCD framework includes the nonparametric classification (NPC) method developed by Chiu and Douglas (2013) <DOI:10.1007/s00357-013-9132-9> and the general NPC (GNPC) method developed by Chiu, Sun, and Bian (2018) <DOI:10.1007/s11336-017-9595-4> and Chiu and Köhn (2019) <DOI:10.1007/s11336-019-09660-x>. An extension of the NPCD framework included in the package is the nonparametric method for multiple-choice items (MC-NPC) developed by Wang, Chiu, and Koehn (2023) <DOI:10.3102/10769986221133088>. Functions associated with various extensions concerning the evaluation, validation, and feasibility of the CD analysis are also provided. These topics include the completeness of Q-matrix, Q-matrix refinement method, as well as Q-matrix estimation.
Author: Chia-Yi Chiu [aut, cph], Weixuan Xiao [aut, cre], Hans Friedrich Koehn [aut], Yu Wang [aut], Xiran Wen [aut]
Maintainer: Weixuan Xiao <wx2299@tc.columbia.edu>

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Package mvrsquared updated to version 0.1.6 with previous version 0.1.5 dated 2023-07-14

Title: Compute the Coefficient of Determination for Vector or Matrix Outcomes
Description: Compute the coefficient of determination for outcomes in n-dimensions. May be useful for multidimensional predictions (such as a multinomial model) or calculating goodness of fit from latent variable models such as probabilistic topic models like latent Dirichlet allocation or deterministic topic models like latent semantic analysis. Based on Jones (2019) <doi:10.48550/arXiv.1911.11061>.
Author: Tommy Jones [aut, cre] , Thomas Nagler [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>

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Package MChtest updated to version 1.0-4 with previous version 1.0-3 dated 2019-05-16

Title: Monte Carlo Hypothesis Tests with Sequential Stopping
Description: Performs Monte Carlo hypothesis tests, allowing a couple of different sequential stopping boundaries. For example, a truncated sequential probability ratio test boundary (Fay, Kim and Hachey, 2007 <DOI:10.1198/106186007X257025>) and a boundary proposed by Besag and Clifford, 1991 <DOI:10.1093/biomet/78.2.301>. Gives valid p-values and confidence intervals on p-values.
Author: Michael P. Fay [aut, cre]
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

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

Title: L-Infinity Normalization and Dominant Community State Types
Description: Implements L-infinity normalization for compositional matrices, assigns samples to dominant features, constructs truncated and hierarchically refined dominant community state types, and computes representative landmark profiles. The methods are described in the accompanying publication <doi:10.48550/arXiv.2503.21543>. Bundled vaginal and gut microbiome data support reproducible demonstrations of the package interface; phenotype fields in the stratified gut subset are illustrative and are not suitable for population-level inference.
Author: Pawel Gajer [aut, cre]
Maintainer: Pawel Gajer <pgajer@gmail.com>

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Package ibdfindr updated to version 0.4.0 with previous version 0.3.1 dated 2025-08-18

Title: HMM Toolkit for Inferring IBD Segments from SNP Genotypes
Description: Implements continuous-time hidden Markov models (HMMs) to infer identity-by-descent (IBD) segments shared by two individuals from their single-nucleotide polymorphism (SNP) genotypes. Provides posterior probabilities at each marker (forward-backward algorithm), prediction of IBD segments (Viterbi algorithm), and functions for visualising results. Supports both autosomal data and X-chromosomal data. The current model has two states, non-IBD and IBD1, and is intended for unilineal relationships. The methodology and package are described in Vigeland et al. (2026) <doi:10.1016/j.fsigen.2025.103409>.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package geiger updated to version 2.0.12 with previous version 2.0.11 dated 2023-04-03

Title: Analysis of Evolutionary Diversification
Description: Methods for fitting macroevolutionary models to phylogenetic trees Pennell (2014) <doi:10.1093/bioinformatics/btu181>.
Author: Luke Harmon [aut, cre], Matthew Pennell [aut], Chad Brock [aut], Joseph Brown [aut], Wendell Challenger [aut], Jon Eastman [aut], Rich FitzJohn [aut], Rich Glor [aut], Gene Hunt [aut], Liam Revell [aut], Graham Slater [aut], Josef Uyeda [aut], Jason [...truncated...]
Maintainer: Luke Harmon <lukeh@uidaho.edu>

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Package figsr updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-31

Title: Fast Interpretable Greedy-Tree Sums for Tree Ensembles
Description: Flexible, interpretable machine learning algorithm for additive tree sums (FIGS). Fits a sum of shallow classification and regression trees (CART) by greedily minimizing residual impurity, growing a new tree or deepening an existing one at each step, whichever reduces the residuals most. Supports regression and two-class classification, variable importance, bootstrap ensembling and seamless integration with 'parsnip' and 'tidymodels' workflows. The method is described in Tan et al. (2023) <doi:10.1073/pnas.2310151122>.
Author: Joao Paulo Assis Bonifacio [aut, cre, cph] , Geraldo Magela da Cruz Pereira [aut, cph] , Pedro Mambelli Fernandes [aut, cph] , Joao Vitor Andrade Alves de Souza [aut, cph]
Maintainer: Joao Paulo Assis Bonifacio <jpab.27@hotmail.com>

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Package ewoc readmission to version 0.3.1 with previous version 0.3.0 dated 2020-06-07

Title: Escalation with Overdose Control
Description: An implementation of a variety of escalation with overdose control designs introduced by Babb, Rogatko and Zacks (1998) <doi:10.1002/(SICI)1097-0258(19980530)17:10%3C1103::AID-SIM793%3E3.0.CO;2-9>. It calculates the next dose as a clinical trial proceeds and performs simulations to obtain operating characteristics.
Author: Marcio A. Diniz [aut, cre, cph]
Maintainer: Marcio A. Diniz <marcio.diniz@mountsinai.org>

This is a re-admission after prior archival of version 0.3.0 dated 2020-06-07

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Package bbmle updated to version 1.0.26 with previous version 1.0.25.1 dated 2023-12-08

Title: Tools for General Maximum Likelihood Estimation
Description: Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.
Author: Ben Bolker [aut, cre] , R Development Core Team [aut], Iago Gine-Vazquez [ctb]
Maintainer: Ben Bolker <bolker@mcmaster.ca>

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Package badp updated to version 0.6.1 with previous version 0.6.0 dated 2026-08-19

Title: Bayesian Averaging for Dynamic Panels
Description: Implements Bayesian model averaging for dynamic panels with weakly exogenous regressors as described in the paper by Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.
Author: Krzysztof Beck [aut], Piotr Cukier [aut], Marcin Dubel [aut, cre], Mariusz Szczepanczyk [aut], Mateusz Wyszynski [aut], badp authors [cph]
Maintainer: Marcin Dubel <marcindubel@gmail.com>

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Package vinereg updated to version 0.13.0 with previous version 0.12.1 dated 2025-12-10

Title: D-Vine Quantile Regression
Description: Implements D-vine quantile regression models with parametric or nonparametric pair-copulas. See Kraus and Czado (2017) <doi:10.1016/j.csda.2016.12.009> and Schallhorn et al. (2017) <doi:10.48550/arXiv.1705.08310>.
Author: Thomas Nagler [aut, cre], Dani Kraus [ctb]
Maintainer: Thomas Nagler <mail@tnagler.com>

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Package svines updated to version 0.3.0 with previous version 0.2.7 dated 2025-06-12

Title: Stationary Vine Copula Models
Description: Provides functionality to fit and simulate from stationary vine copula models for time series, see Nagler et al. (2022) <doi:10.1016/j.jeconom.2021.11.015>.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>

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Package MMAD updated to version 3.0.1 with previous version 3.0.0 dated 2026-07-07

Title: Minorization-Maximization via Assembly-Decomposition Technology
Description: A formula-driven framework for maximizing target functions via the minorization-maximization (MM) algorithm. The package represents the target as a symbolic expression tree, infers its curvature via disciplined-convex-programming rules, and constructs a separable surrogate at each iterate using only Jensen's inequality and the supporting hyperplane. The driver maximizes the surrogate via block-coordinate Newton with line search, falling back to a multivariate step on any non-separable residue. A formula interface accepts standard R expressions (including `sum()` reductions and `X %*% theta` design-matrix products) so statistical models such as Poisson regression can be written in one line.
Author: Xifen Huang [aut], Jinfeng Xu [aut], Jiaqi Gu [aut, cre]
Maintainer: Jiaqi Gu <jiaqigu@usf.edu>

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Package bmem updated to version 2.3 with previous version 2.2 dated 2025-09-03

Title: Mediation Analysis with Missing Data Using Bootstrap
Description: Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML. Since version 1.4, bmem adds the capability to conduct power analysis for mediation models. Details about the methods used can be found in these articles. Zhang and Wang (2003) <doi:10.1007/s11336-012-9301-5>. Zhang (2014) <doi:10.3758/s13428-013-0424-0>.
Author: Zhiyong Zhang [aut, cre], Lijuan Wang [aut]
Maintainer: Zhiyong Zhang <zhiyongzhang@nd.edu>

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Package maestro updated to version 1.3.0 with previous version 1.2.0 dated 2026-07-02

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

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Package clr updated to version 0.1.3 with previous version 0.1.2 dated 2019-07-29

Title: Curve Linear Regression via Dimension Reduction
Description: A new methodology for linear regression with both curve response and curve regressors, which is described in Cho, Goude, Brossat and Yao (2013) <doi:10.1080/01621459.2012.722900> and (2015) <doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is dimension reduction based on a singular value decomposition in a Hilbert space, which reduces the curve regression problem to several scalar linear regression problems.
Author: Amandine Pierrot [cre, aut], Qiwei Yao [ctb], Haeran Cho [ctb], Yannig Goude [ctb], Tony Aldon [ctb], EDF [cph, fnd]
Maintainer: Amandine Pierrot <amandine.m.pierrot@gmail.com>

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Package bvarnet updated to version 1.0.2 with previous version 1.0.1 dated 2026-06-13

Title: Bayesian Estimation of Dynamic VAR Models using Stan
Description: Bayesian estimation of multilevel Vector Autoregression (VAR) models using Stan. Supports Gaussian, Binary, and Ordinal (adjacent category) outcome variables with random effects and customizable priors.
Author: Florian Metwaly [aut, cre, cph]
Maintainer: Florian Metwaly <f.j.metwaly@uva.nl>

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Package BLSM updated to version 0.1.1 with previous version 0.1.0 dated 2018-04-26

Title: Bayesian Latent Space Model
Description: Provides a Bayesian latent space model for complex networks, either weighted or unweighted. Given an observed input graph, the estimates for the latent coordinates of the nodes are obtained through a Bayesian MCMC algorithm. The overall likelihood of the graph depends on a fundamental probability equation, which is defined so that ties are more likely to exist between nodes whose latent space coordinates are close. The package is mainly based on the model by Hoff, Raftery and Handcock (2002) <doi:10.1198/016214502388618906> and contains some extra features (e.g., removal of the Procrustean step, weights implemented as coefficients of the latent distances, 3D plots). The original code related to the above model was retrieved from <https://www2.stat.duke.edu/~pdh10/Code/hoff_raftery_handcock_2002_jasa/>. Users can inspect the MCMC simulation, create and customize insightful graphical representations or apply clustering techniques.
Author: Alberto Donizetti [aut, cre], Francesca Ieva [ctb]
Maintainer: Alberto Donizetti <albe.donizetti@gmail.com>

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More information about BLSM at CRAN
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Package winfapReader updated to version 0.1-7.1 with previous version 0.1-7 dated 2026-02-20

Title: Interact with Peak Flow Data in the United Kingdom
Description: Obtain information on peak flow data from the National River Flow Archive (NRFA) in the United Kingdom, either from the Peak Flow Dataset files <https://nrfa.ceh.ac.uk/data/peak-flow-dataset> once these have been downloaded to the user's computer or using the NRFA's API. These files are in a format suitable for direct use in the 'WINFAP' software, hence the name of the package.
Author: Ilaria Prosdocimi [aut, cre] , Luke Shaw [aut]
Maintainer: Ilaria Prosdocimi <prosdocimi.ilaria@gmail.com>

Diff between winfapReader versions 0.1-7 dated 2026-02-20 and 0.1-7.1 dated 2026-08-31

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Package vegan updated to version 2.7-6 with previous version 2.7-5 dated 2026-05-25

Title: Community Ecology Package
Description: Ordination methods, diversity analysis and other functions for community and vegetation ecologists.
Author: Jari Oksanen [aut, cre] , Gavin L. Simpson [aut] , F. Guillaume Blanchet [aut], Roeland Kindt [aut], Pierre Legendre [aut], Peter R. Minchin [aut], R.B. O'Hara [aut], Peter Solymos [aut], M. Henry H. Stevens [aut], Eduard Szoecs [aut], Helene Wagner [...truncated...]
Maintainer: Jari Oksanen <jhoksane@gmail.com>

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More information about vegan at CRAN
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Package sylly.en updated to version 0.1-4 with previous version 0.1-3 dated 2018-03-19

Title: Language Support for 'sylly' Package: English
Description: Adds support for the English language to the 'sylly' package. To ask for help, report bugs, suggest feature improvements, or discuss the global development of the package, please consider subscribing to the koRpus-dev mailing list (<https://korpusml.reaktanz.de>).
Author: Meik Michalke [aut, cre]
Maintainer: Meik Michalke <meik.michalke@hhu.de>

Diff between sylly.en versions 0.1-3 dated 2018-03-19 and 0.1-4 dated 2026-08-31

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Package StepReg updated to version 1.6.7 with previous version 1.6.6 dated 2026-06-04

Title: A Comprehensive and Intuitive R Package for Stepwise Regression Analysis
Description: Stepwise regression is a statistical technique used for model selection. This package streamlines stepwise regression analysis by supporting multiple regression types(linear, Cox, logistic, Poisson, Gamma, and negative binomial), incorporating popular selection strategies(forward, backward, bidirectional, and subset), and offering essential metrics. It enables users to apply multiple selection strategies and metrics in a single function call, visualize variable selection processes, and export results in various formats. StepReg offers a data-splitting option to address potential issues with invalid statistical inference and a randomized forward selection option to avoid overfitting. We validated StepReg's accuracy using public datasets within the SAS software environment. For an interactive web interface, users can install the companion 'StepRegShiny' package. The methodology is described in Li et al. (2026) <doi:10.32614/RJ-2026-005>.
Author: Junhui Li [cre, aut] , Kai Hu [aut], Xiaohuan Lu [aut], Sushmita N Nayak [ctb, aut], Cesar Bautista Sotelo [ctb, aut], Michael A Lodato [ctb, aut], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>

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More information about StepReg at CRAN
Permanent link

Package ssdtools updated to version 2.7.0 with previous version 2.6.0 dated 2026-03-05

Title: Species Sensitivity Distributions
Description: Species sensitivity distributions are cumulative probability distributions which are fitted to toxicity concentrations for different species as described by Posthuma et al. (2001) <isbn:9781566705783>. The ssdtools package uses Maximum Likelihood to fit distributions such as the gamma, log-logistic, log-normal and log-normal log-normal mixture. Multiple distributions can be averaged using Akaike Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by bootstrapping.
Author: Joe Thorley [aut, cre] , Rebecca Fisher [aut], David Fox [aut], Carl Schwarz [aut], Angeline Tillmanns [ctb], Seb Dalgarno [ctb] , Kathleen McTavish [ctb], Heather Thompson [ctb], Doug Spry [ctb], Rick van Dam [ctb], Graham Batley [ctb], Ali Azizishi [...truncated...]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package sgee updated to version 0.6-2 with previous version 0.6-0 dated 2018-01-08

Title: Stagewise Generalized Estimating Equations
Description: Stagewise techniques implemented with Generalized Estimating Equations to handle individual, group, bi-level, and interaction selection. Stagewise approaches start with an empty model and slowly build the model over several iterations, which yields a 'path' of candidate models from which model selection can be performed. This 'slow brewing' approach gives stagewise techniques a unique flexibility that allows simple incorporation of Generalized Estimating Equations; see Vaughan, G., Aseltine, R., Chen, K., Yan, J., (2017) <doi:10.1111/biom.12669> for details.
Author: Gregory Vaughan [aut, cre], Kun Chen [ctb], Jun Yan [ctb]
Maintainer: Gregory Vaughan <gvaughan@bentley.edu>

Diff between sgee versions 0.6-0 dated 2018-01-08 and 0.6-2 dated 2026-08-31

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Package randomForestSRC updated to version 3.7.0 with previous version 3.6.2 dated 2026-04-19

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestSRC versions 3.6.2 dated 2026-04-19 and 3.7.0 dated 2026-08-31

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Package netrics updated to version 1.0.1 with previous version 0.4.0 dated 2026-07-24

Title: Many Marks, Measures, Memberships, and Motifs for Networks
Description: Many tools for calculating network, node, or tie marks, measures, motifs and memberships of many different types of networks. Marks identify structural positions, measures quantify network properties, memberships classify nodes into groups, and motifs tabulate substructure participation. All functions operate with all classes of network data covered in 'manynet', and on directed, undirected, multiplex, multimodal, signed, and other networks.
Author: James Hollway [cre, aut, ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package mitools updated to version 2.7 with previous version 2.4 dated 2019-04-26

Title: Tools for Multiple Imputation of Missing Data
Description: Tools to perform analyses and combine results from multiple-imputation datasets.
Author: Thomas Lumley [aut, cre]
Maintainer: Thomas Lumley <t.lumley@auckland.ac.nz>

Diff between mitools versions 2.4 dated 2019-04-26 and 2.7 dated 2026-08-31

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Package minimaxALT updated to version 1.0.4 with previous version 1.0.3 dated 2025-12-23

Title: Generate Optimal Designs of Accelerated Life Test using PSO-Based Algorithm
Description: A computationally efficient solution for generating optimal experimental designs in Accelerated Life Testing (ALT). Leveraging a Particle Swarm Optimization (PSO)-based hybrid algorithm, the package identifies optimal test plans that minimize estimation variance under specified failure models and stress profiles. For more detailed, see Lee et al. (2025), Optimal Robust Strategies for Accelerated Life Tests and Fatigue Testing of Polymer Composite Materials <doi:10.1214/25-AOAS2075>.
Author: Hoai-Linh Hoang [aut, cre], I-Chen Lee [aut], Ping-Yang Chen [aut], Ray-Bing Chen [aut], Weng Kee Wong [aut]
Maintainer: Hoai-Linh Hoang <hoailinh.hoang17@gmail.com>

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Permanent link

Package lexicon updated to version 1.3.2 with previous version 1.2.1 dated 2019-03-21

Title: Lexicons for Text Analysis
Description: A collection of lexical hash tables, dictionaries, and word lists.
Author: Tyler Rinker [aut, cre, cph], University of Notre Dame [dtc, cph], Department of Knowledge Technologies [dtc, cph], Unicode, Inc. [dtc, cph], John Higgins [dtc, cph], Grady Ward [dtc], Heiko Possel [dtc], Michal Boleslav Mechura [dtc, cph], Bing Liu [...truncated...]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between lexicon versions 1.2.1 dated 2019-03-21 and 1.3.2 dated 2026-08-31

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 lexicon-1.3.2/lexicon/R/hash_emoticons.R                           |   50 
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 lexicon-1.3.2/lexicon/R/hash_nrc_emotion.R                         |   44 
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 lexicon-1.3.2/lexicon/R/pos_action_verb.R                          |   42 
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 lexicon-1.3.2/lexicon/R/sw_lucene.R                                |   60 
 lexicon-1.3.2/lexicon/R/sw_mallet.R                                |  206 -
 lexicon-1.3.2/lexicon/R/sw_python.R                                |   86 
 lexicon-1.3.2/lexicon/R/utils.R                                    |  152 -
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More information about lexicon at CRAN
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Package JuliaConnectoR updated to version 1.1.6 with previous version 1.1.5 dated 2026-01-08

Title: A Functionally Oriented Interface for Integrating 'Julia' with R
Description: Allows to import functions and whole packages from 'Julia' in R. Imported 'Julia' functions can directly be called as R functions. Data structures can be translated between 'Julia' and R. More details can also be found in the corresponding article <doi:10.18637/jss.v101.i06>.
Author: Stefan Lenz [aut, cre] , Harald Binder [aut, ths] , Angelo D'Ambrosio [ctb] , June Choe [ctb] , Bjarke Hautop Kristensen [ctb]
Maintainer: Stefan Lenz <stefan-m-lenz@web.de>

Diff between JuliaConnectoR versions 1.1.5 dated 2026-01-08 and 1.1.6 dated 2026-08-31

 DESCRIPTION                                |   16 ++++---
 MD5                                        |   26 +++++------
 R/connecting.R                             |   32 +++++++++-----
 R/main.R                                   |    5 ++
 R/writing.R                                |   32 ++++++++++----
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 tests/testthat/helper.R                    |    9 ++++
 tests/testthat/test.R                      |   64 +++++++++++++++++++++++++++--
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More information about JuliaConnectoR at CRAN
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Package INLAtools updated to version 0.1.5 with previous version 0.1.4 dated 2026-05-04

Title: Functionalities for the 'INLA' Package
Description: Contain code to work with a C struct, in short cgeneric, to define a Gaussian Markov random (GMRF) model. The cgeneric contain code to specify GMRF elements such as the graph and the precision matrix, and also the initial and prior for its parameters, useful for model inference. It can be accessed from a C program and is the recommended way to implement new GMRF models in the 'INLA' package (<https://www.r-inla.org>). The 'INLAtools' implement functions to evaluate each one of the model specifications from R. The implemented functionalities leverage the use of 'cgeneric' models and provide a way to debug the code as well to work with the prior for the model parameters and to sample from it. The `generic0` can be used to implement intrinsic models with the scaling as proposed in Sørbye & Rue (2014) <doi:10.1016/j.spasta.2013.06.004>, and the required constraints. A very useful functionality is the Kronecker product method that creates a new model from multiple cgen [...truncated...]
Author: Elias Teixeira Krainski [cre, aut, cph] , Finn Lindgren [aut] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <elias.krainski@kaust.edu.sa>

Diff between INLAtools versions 0.1.4 dated 2026-05-04 and 0.1.5 dated 2026-08-31

 DESCRIPTION              |   10 -
 MD5                      |   22 +-
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 R/aaaaa.R                |    2 
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Package ggalttext updated to version 0.4.0 with previous version 0.3.0 dated 2026-06-25

Title: Make 'ggplot2' Fully Accessible by Generating Alternative Text
Description: Generates concise alternative text for data visualizations created with 'ggplot2'. Descriptions are produced by inspecting plot layers, labels, scales, and facets, with support for multiple languages and alternative text stored in plot metadata.
Author: Joseph Barbier [aut, cre, cph]
Maintainer: Joseph Barbier <joseph@ysunflower.com>

Diff between ggalttext versions 0.3.0 dated 2026-06-25 and 0.4.0 dated 2026-08-31

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 R/describe_helpers.R                    |   24 +++++++++
 R/language.R                            |    3 +
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 README.md                               |   26 ++++------
 tests/testthat/test-generate-alt-text.R |   83 ++++++++++++++++++++++++++++++++
 7 files changed, 158 insertions(+), 30 deletions(-)

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Package fasttreeid updated to version 1.0.2 with previous version 1.0.1 dated 2025-11-18

Title: Identifies Parameters in a Tree-Shaped SCM
Description: Implements the algorithm by Briefs and Bläser (2025) <https://openreview.net/forum?id=8PHOPPH35D>, based on the approach of Gupta and Bläser (2024) <doi:10.1609/aaai.v38i18.30023>. It determines, for a structural causal model (SCM) whose directed edges form a tree, whether each parameter is unidentifiable, 1-identifiable or 2-identifiable (other cases cannot occur), using a randomized algorithm with provable running time O(n^3 log^2 n).
Author: Yasmine Briefs [aut, cre], Markus Blaeser [aut]
Maintainer: Yasmine Briefs <ybriefs@mpi-inf.mpg.de>

Diff between fasttreeid versions 1.0.1 dated 2025-11-18 and 1.0.2 dated 2026-08-31

 DESCRIPTION    |    6 +++---
 MD5            |    8 ++++----
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Package CHNOSZ updated to version 2.3.0 with previous version 2.2.0 dated 2025-06-20

Title: Thermodynamic Calculations and Diagrams for Geochemistry
Description: An integrated set of tools for thermodynamic calculations in aqueous geochemistry and geobiochemistry. Functions are provided for writing balanced reactions to form species from user-selected basis species and for calculating the standard molal properties of species and reactions, including the standard Gibbs energy and equilibrium constant. Calculations of the non-equilibrium chemical affinity and equilibrium chemical activity of species can be portrayed on diagrams as a function of temperature, pressure, or activity of basis species; in two dimensions, this gives a maximum affinity or predominance diagram. The diagrams have formatted chemical formulas and axis labels, and water stability limits can be added to Eh-pH, oxygen fugacity- temperature, and other diagrams with a redox variable. The package has been developed to handle common calculations in aqueous geochemistry, such as solubility due to complexation of metal ions, mineral buffers of redox or pH, and changing the basis spec [...truncated...]
Author: Jeffrey Dick [aut, cre]
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

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Package rtiktoken updated to version 0.11.0.3 with previous version 0.11.0.2 dated 2026-08-21

Title: A Byte-Pair-Encoding (BPE) Tokenizer for OpenAI's Large Language Models
Description: A thin wrapper around the tiktoken-rs crate, allowing to encode text into Byte-Pair-Encoding (BPE) tokens and decode tokens back to text. This is useful to understand how Large Language Models (LLMs) perceive text.
Author: David Zimmermann-Kollenda [aut, cre], Roger Zurawicki [aut] , Authors of the dependent Rust crates [aut]
Maintainer: David Zimmermann-Kollenda <david_j_zimmermann@hotmail.com>

Diff between rtiktoken versions 0.11.0.2 dated 2026-08-21 and 0.11.0.3 dated 2026-08-31

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Permanent link

Package pharmr updated to version 2.2.0 with previous version 2.1.1 dated 2026-05-28

Title: Interface to the 'Pharmpy' 'Pharmacometrics' Library
Description: Interface to the 'Pharmpy' 'pharmacometrics' library. The 'Reticulate' package is used to interface Python from R.
Author: Rikard Nordgren [aut, cre, cph], Stella Belin [aut, cph], Mats O. Karlsson [sad], Andrew C. Hooker [sad], Xiaomei Chen [sad], Sebastian Ueckert [sad] , Simon Buatois [rev], Joao A. Abrantes [rev], Emilie Schindler [rev], F. Hoffmann-La Roche Ltd. [fn [...truncated...]
Maintainer: Rikard Nordgren <rikard.nordgren@uu.se>

Diff between pharmr versions 2.1.1 dated 2026-05-28 and 2.2.0 dated 2026-08-31

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Package oystermapR updated to version 1.5.0 with previous version 1.4.0 dated 2026-05-15

Title: Predict and Map Oyster Growth Suitability from Environmental Data
Description: Predicts spatial suitability for oyster growth from environmental survey data using Analytic Hierarchy Process (AHP) weighted scoring. Users supply sensor data from Acoustic Doppler Current Profilers (ADCP), Conductivity-Temperature-Depth (CTD) sensors, bathymetric sonar, and sidescan sonar, specify a target species, and receive per-location suitability scores, a five-band 'GeoTIFF' heatmap for 'QGIS', contour lines, and a formatted PDF or HTML report. Supports seventeen species across global aquaculture regions, including Ostrea edulis, Magallana gigas, Crassostrea virginica, Crassostrea hongkongensis, and thirteen further species; see list_species(). Includes ocean acidification scoring via in-house aragonite saturation state (Omega_arag) calculation using Lueker et al. (2000) <doi:10.1016/S0304-4203(00)00022-0> and Mucci (1983) <doi:10.1357/002224083788520153> equilibrium constants (no external dependencies), variable impact diagnostics (variable_impact()), fine-scale ha [...truncated...]
Author: T Tucker [aut, cre]
Maintainer: T Tucker <tristantucker48@gmail.com>

Diff between oystermapR versions 1.4.0 dated 2026-05-15 and 1.5.0 dated 2026-08-31

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Package OptOTrials updated to version 1.0.3 with previous version 1.0.2 dated 2025-09-05

Title: Optimal Two-Stage Designs for Ordered Categorical Outcomes
Description: Functions to design and simulate optimal two-stage randomized controlled trials (RCTs) with ordered categorical outcomes, supporting rank-based tests and group-sequential decision rules. Methods build on classical and modern rank tests and two-stage/Group-Sequential designs, e.g., Park (2025) <doi: 10.1371/journal.pone.0318211>. The functions 'rule()', 'op()' and 'design_table()' provide a single entry point for constructing designs, evaluating their operating characteristics, and tabulating several designs at once. The earlier functions, one for each combination of test statistic and stopping rule, are retained and still return the same values, but they are deprecated: each warns and names its replacement, and they will be removed in the next version. Please see the package reference manual and the vignette for details.
Author: Yeonhee Park [aut, cre], Yudi Wang [aut], Zhanpeng Xu [aut]
Maintainer: Yeonhee Park <yeonheepark@skku.edu>

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Package MDPtoolbox updated to version 4.0.4 with previous version 4.0.3 dated 2017-03-03

Title: Markov Decision Processes Toolbox
Description: The Markov Decision Processes (MDP) toolbox proposes functions related to the resolution of discrete-time Markov Decision Processes: finite horizon, value iteration, policy iteration, linear programming algorithms with some variants and also proposes some functions related to Reinforcement Learning.
Author: Iadine Chades [aut], Guillaume Chapron [aut, cre], Marie-Josee Cros [aut], Frederick Garcia [aut], Regis Sabbadin [aut]
Maintainer: Guillaume Chapron <gchapron@carnivoreconservation.org>

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Package goodpractice updated to version 1.2.0 with previous version 1.1.0 dated 2026-06-05

Title: Advice on R Package Building
Description: Give advice about good practices when building R packages. Advice includes functions and syntax to avoid, package structure, code complexity, code formatting, etc.
Author: Mark Padgham [aut, cre] , Ascent Digital Services UK Limited [cph] , Karina Marks [aut] , Daniel de Bortoli [aut] , Gabor Csardi [aut], Hannah Frick [aut], Owen Jones [aut] , Hannah Alexander [aut], Ana Simmons [ctb] , Fabian Scheipl [ctb] , Athanasi [...truncated...]
Maintainer: Mark Padgham <mark@ropensci.org>

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Package galamm updated to version 0.4.1 with previous version 0.4.0 dated 2025-12-21

Title: Generalized Additive Latent and Mixed Models
Description: Estimates generalized additive latent and mixed models using maximum marginal likelihood, as defined in Sorensen et al. (2023) <doi:10.1007/s11336-023-09910-z>, which is an extension of Rabe-Hesketh and Skrondal (2004)'s unifying framework for multilevel latent variable modeling <doi:10.1007/BF02295939>. Efficient computation is done using sparse matrix methods, Laplace approximation, and automatic differentiation. The framework includes generalized multilevel models with heteroscedastic residuals, mixed response types, factor loadings, smoothing splines, crossed random effects, and combinations thereof. Syntax for model formulation is close to 'lme4' (Bates et al. (2015) <doi:10.18637/jss.v067.i01>) and 'PLmixed' (Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>).
Author: Oeystein Soerensen [aut, cre] , Douglas Bates [ctb], Ben Bolker [ctb], Martin Maechler [ctb], Allan Leal [ctb], Fabian Scheipl [ctb], Steven Walker [ctb], Simon Wood [ctb]
Maintainer: Oeystein Soerensen <oystein.sorensen@psykologi.uio.no>

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Permanent link

Package epoxy readmission to version 1.0.1 with previous version 1.0.0 dated 2023-09-19

Title: String Interpolation for Documents, Reports and Apps
Description: Extra strength 'glue' for data-driven templates. String interpolation for 'Shiny' apps or 'R Markdown' and 'knitr'-powered 'Quarto' documents, built on the 'glue' and 'whisker' packages.
Author: Garrick Aden-Buie [aut, cre] , Kushagra Gour [ctb] , The mustache.js community [ctb]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

This is a re-admission after prior archival of version 1.0.0 dated 2023-09-19

Diff between epoxy versions 1.0.0 dated 2023-09-19 and 1.0.1 dated 2026-08-31

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Package AnnotationBustR updated to version 2.0 with previous version 1.3.0 dated 2020-09-24

Title: Extract Subsequences from GenBank Annotations
Description: Extraction of subsequences into FASTA files from GenBank annotations where gene names may vary among accessions. Borstein & O'Meara (2018) <doi:10.7717/peerj.5179>.
Author: Samuel R. Borstein [aut, cre] , Brian O'Meara [aut]
Maintainer: Samuel R. Borstein <sam@borstein.com>

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Package StealLikeBayes updated to version 2.0 with previous version 1.0 dated 2025-12-02

Title: A Compendium of Bayesian Statistical Routines Written in 'C++'
Description: This is a compendium of 'C++' routines useful for Bayesian statistics. We steal other people's 'C++' code, repurpose it, and export it so developers of 'R' packages can use it in their 'C++' code. We actually don't steal anything, or claim that Thomas Bayes did, but copy code that is compatible with our GPL 3 licence, fully acknowledging the authorship of the original code.
Author: Tomasz Wozniak [aut, cre] , Xiaolei Wang [aut] , Longcan Li [aut] , Jianying Shelly Xie [aut] , Filip Reierson [aut] , Kenyon Ng [aut]
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>

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Package rSPDE updated to version 2.6.0 with previous version 2.5.2 dated 2026-01-26

Title: Rational Approximations of Fractional Stochastic Partial Differential Equations
Description: Functions that compute rational approximations of fractional elliptic stochastic partial differential equations. The package also contains functions for common statistical usage of these approximations. The main references for rSPDE are Bolin, Simas and Xiong (2023) <doi:10.1080/10618600.2023.2231051> for the covariance-based method and Bolin and Kirchner (2020) <doi:10.1080/10618600.2019.1665537> for the operator-based rational approximation. These can be generated by the citation function in R.
Author: David Bolin [cre, aut], Alexandre Simas [aut], Finn Lindgren [ctb]
Maintainer: David Bolin <davidbolin@gmail.com>

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Package bamp updated to version 3.0.0 with previous version 2.2.0 dated 2026-06-21

Title: Bayesian Age-Period-Cohort Modeling and Prediction
Description: Bayesian Age-Period-Cohort Modeling and Prediction using efficient Markov Chain Monte Carlo Methods. This is the R version of the previous BAMP software as described in Volker Schmid and Leonhard Held (2007) <DOI:10.18637/jss.v021.i08> Bayesian Age-Period-Cohort Modeling and Prediction - BAMP, Journal of Statistical Software 21:8. This package includes checks of convergence using Gelman's R.
Author: Volker Schmid [aut, cre] , Florian Geressen [ctb], Leonhard Held [ctb], Evi Rainer [ctb], Chris Kypridemos [aut]
Maintainer: Volker Schmid <volker.schmid@lmu.de>

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Package taxadb updated to version 0.3.0 with previous version 0.2.1 dated 2023-03-08

Title: A High-Performance Taxonomic Database Interface
Description: Provides fast access to many commonly used taxonomic authorities in a uniform Darwin Core format. Tables are read directly from versioned Parquet snapshots, streamed from cloud storage or from a local copy, and queried with familiar 'dplyr' verbs.
Author: Carl Boettiger [aut, cre] , Kari Norman [aut] , Jorrit Poelen [aut] , Scott Chamberlain [aut] , Noam Ross [ctb] , Mattia Ghilardi [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package sps updated to version 0.7.0 with previous version 0.6.4 dated 2026-07-19

Title: Sequential Poisson Sampling
Description: Sequential Poisson sampling is a variation of Poisson sampling for drawing probability-proportional-to-size samples with a given number of units, and is commonly used for price-index surveys. This package gives functions to draw stratified sequential Poisson samples according to the method by Ohlsson (1998, ISSN:0282-423X), as well as other order sample designs by Rosén (1997, <doi:10.1016/S0378-3758(96)00186-3>), and generate approximate bootstrap replicate weights according to the generalized bootstrap method by Beaumont and Patak (2012, <doi:10.1111/j.1751-5823.2011.00166.x>).
Author: Steve Martin [aut, cre, cph] , Justin Francis [ctb]
Maintainer: Steve Martin <marberts@protonmail.com>

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Package resemble updated to version 3.0.1 with previous version 3.0.0 dated 2026-04-20

Title: Similarity Retrieval and Local Learning for Spectral Chemometrics
Description: Functions for dissimilarity analysis and machine learning in complex spectral data sets, including memory-based learning (MBL), optimal subset search and selection, and retrieval-based modelling with model libraries. Supports local learning, optimisation of spectral libraries, and ensemble prediction from precomputed models. Most of these functions are based on the methods presented in Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>, Ramirez-Lopez et al. (2026a) <doi:10.1016/j.aca.2026.345682>, and Ramirez-Lopez et al. (2026b) <doi:10.1016/j.aca.2026.345651>.
Author: Leonardo Ramirez-Lopez [aut, cre] , Antoine Stevens [aut, ctb] , Claudio Orellano [ctb]
Maintainer: Leonardo Ramirez-Lopez <ramirez.lopez.leo@gmail.com>

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Package ravetools updated to version 0.3.1 with previous version 0.3.0 dated 2026-08-21

Title: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data
Description: Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://rave.wiki>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Author: Zhengjia Wang [aut, cre] , John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph] , Karim Rahim [cph, ctb] , Thomas Possidente [cph, ctb] , Michael Prerau [cph, ctb] , Marcus Geelnard [ctb, cph] , Stefan Schlag [...truncated...]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package mapSpain updated to version 1.2.1 with previous version 1.2.0 dated 2026-06-17

Title: Administrative Boundaries and Static Map Tiles for Spain
Description: Administrative boundaries of Spain at several levels (Autonomous Communities and Cities, provinces, municipalities and 'NUTS'), based on 'GISCO' from 'Eurostat' <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase ANE' from 'Instituto Geográfico Nacional' <https://www.ign.es/>. Includes tools to download and process static map tiles and a 'leaflet' plugin for Spanish public administration tile providers.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , Instituto Geografico Nacional [cph] , Francisco J. Goerlich [ctb]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package ipeaplot updated to version 1.0.0 with previous version 0.5.4 dated 2026-07-09

Title: Add Ipea Editorial Standards to 'ggplot2' Graphics
Description: Convenient functions to create 'ggplot2' graphics following the editorial guidelines of the Institute for Applied Economic Research (Ipea).
Author: Pedro Ferreira [aut, cre], Pedro Jorge [aut], Daniel Lima [aut], Gustavo Coelho [aut], Rafael H. M. Pereira [aut], Lucas Mation [aut], Fabio Vaz [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Pedro Ferreira <pedro.ferreira2@ipea.gov.br>

Diff between ipeaplot versions 0.5.4 dated 2026-07-09 and 1.0.0 dated 2026-08-31

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Package grip updated to version 0.2.0 with previous version 0.1.3 dated 2026-08-21

Title: Graph Drawing with Intelligent Placement (GRIP)
Description: Implements GRIP multiscale graph layout with a unified choice between hop-count and geometry-aware edge-length graph metrics in 2D and 3D. Provides layout scoring, candidate comparison, multiscale trace diagnostics, synthetic graph families, and advanced experimental geodesic-KK utilities for weighted-layout evaluation and polish. Based on Gajer and Kobourov (2002) <doi:10.7155/jgaa.00052> and Gajer, Goodrich and Kobourov (2004) <doi:10.1016/j.comgeo.2004.03.014>.
Author: Pawel Gajer [aut, cre]
Maintainer: Pawel Gajer <pgajer@gmail.com>

Diff between grip versions 0.1.3 dated 2026-08-21 and 0.2.0 dated 2026-08-31

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Package ghclass updated to version 0.4.2 with previous version 0.4.1 dated 2026-07-25

Title: Tools for Managing Classes on GitHub
Description: Interface for the GitHub API that enables efficient management of courses on GitHub. It has a functionality for managing organizations, teams, repositories, and users on GitHub and helps automate most of the tedious and repetitive tasks around creating and distributing assignments.
Author: Colin Rundel [aut, cre], Mine Cetinkaya-Rundel [aut], Therese Anders [ctb]
Maintainer: Colin Rundel <rundel@gmail.com>

Diff between ghclass versions 0.4.1 dated 2026-07-25 and 0.4.2 dated 2026-08-31

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Package DBmaps updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-08

Title: An R Tool for Streamlining Database Joins
Description: Simplifies and automates the process of exploring and merging data from relational databases. This package allows users to discover table relationships, create a map of all possible joins, and generate executable plans to merge data based on a structured metadata framework.
Author: Akshat Maurya [aut, cre], David Shilane [aut]
Maintainer: Akshat Maurya <codingmaster902@gmail.com>

Diff between DBmaps versions 0.1.0 dated 2025-09-08 and 0.1.1 dated 2026-08-31

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Package climenu updated to version 0.2.0 with previous version 0.1.8 dated 2026-07-08

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

Diff between climenu versions 0.1.8 dated 2026-07-08 and 0.2.0 dated 2026-08-31

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Package TopDom updated to version 0.10.2 with previous version 0.10.1 dated 2021-05-06

Title: An Efficient and Deterministic Method for Identifying Topological Domains in Genomes
Description: The 'TopDom' method identifies topological domains in genomes from Hi-C sequence data (Shin et al., 2016 <doi:10.1093/nar/gkv1505>). The authors published an implementation of their method as an R script (two different versions; also available in this package). This package originates from those original 'TopDom' R scripts and provides help pages adopted from the original 'TopDom' PDF documentation. It also provides a small number of bug fixes to the original code.
Author: Henrik Bengtsson [aut, cre, cph] , Hanjun Shin [aut, ctr, cph], Harris Lazaris [ctr, cph] , Gangqing Hu [ctr, cph] , Xianghong Zhou [ctr]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between TopDom versions 0.10.1 dated 2021-05-06 and 0.10.2 dated 2026-08-31

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Package spca updated to version 1.1.3 with previous version 1.1.1 dated 2026-07-10

Title: Least Squares Sparse Principal Components Analysis
Description: Implements least-squares sparse principal component analysis with cardinality constraints. The package has an efficient C++ backend and provides functions for fitting, summarizing, comparing, and visualizing sparse principal component models. The approach follows Merola (2015) <doi:10.1111/anzs.12128> and Merola and Chen (2019) <doi:10.1016/j.jmva.2019.04.001>.
Author: Giovanni Maria Merola [aut, cre]
Maintainer: Giovanni Maria Merola <merolagio@gmail.com>

Diff between spca versions 1.1.1 dated 2026-07-10 and 1.1.3 dated 2026-08-31

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Package shapviz updated to version 0.10.4 with previous version 0.10.3 dated 2025-10-13

Title: SHAP Visualizations
Description: Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
Author: Michael Mayer [aut, cre], Adrian Stando [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package mulgar updated to version 1.0.8 with previous version 1.0.5 dated 2025-04-06

Title: Functions for Pre-Processing Data for Multivariate Data Visualisation using Tours
Description: This is a companion to the book Cook, D. and Laa, U. (2023) <https://dicook.github.io/mulgar_book/> "Interactively exploring high-dimensional data and models in R". by Cook and Laa. It contains useful functions for processing data in preparation for visualising with a tour. There are also several sample data sets.
Author: Dianne Cook [aut, cre] , Ursula Laa [aut]
Maintainer: Dianne Cook <dicook@monash.edu>

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Package mizer updated to version 3.4.0 with previous version 3.3.0 dated 2026-08-24

Title: Dynamic Multi-Species Size Spectrum Modelling
Description: A set of classes and methods to set up and run multi-species, trait based and community size spectrum ecological models, focused on the marine environment.
Author: Gustav Delius [cre, aut, cph] , Finlay Scott [aut, cph], Julia Blanchard [aut, cph] , Ken Andersen [aut, cph] , Richard Southwell [ctb, cph]
Maintainer: Gustav Delius <gustav.delius@york.ac.uk>

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Package ipaddress updated to version 1.0.4 with previous version 1.0.3 dated 2025-08-22

Title: Data Analysis for IP Addresses and Networks
Description: Classes and functions for working with IP (Internet Protocol) addresses and networks, inspired by the Python 'ipaddress' module. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces. It is specifically designed to work well with the 'tidyverse'.
Author: David Hall [aut, cre]
Maintainer: David Hall <david.hall.physics@gmail.com>

Diff between ipaddress versions 1.0.3 dated 2025-08-22 and 1.0.4 dated 2026-08-31

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Package copBasic updated to version 2.2.16 with previous version 2.2.15 dated 2026-07-22

Title: General Bivariate Copula Theory and Many Utility Functions
Description: Extensive functions for bivariate copula (bicopula) computations and related operations for bicopula theory. The lower, upper, product, and select other bicopula are implemented along with operations including the diagonal, survival copula, dual of a copula, co-copula, and numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical derivatives and inverses of a bicopula are provided through which simulation is implemented. Bicopula composition, convex combination, asymmetry extension, and products also are provided. Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau, Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer- Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and positive/negative quadrant dependency, left (right) increasing (decreasing) are available. Other features include Kullback-Leibler Divergence, Vuong Procedure, spectral measure, [...truncated...]
Author: William Asquith [aut, cre]
Maintainer: William Asquith <william.asquith@ttu.edu>

Diff between copBasic versions 2.2.15 dated 2026-07-22 and 2.2.16 dated 2026-08-31

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Package CEC updated to version 0.12.0 with previous version 0.11.3 dated 2026-02-04

Title: Cross-Entropy Clustering
Description: Splits data into Gaussian type clusters using the Cross-Entropy Clustering ('CEC') method. This method allows for the simultaneous use of various types of Gaussian mixture models, for performing the reduction of unnecessary clusters, and for discovering new clusters by splitting them. 'CEC' is based on the work of Spurek, P. and Tabor, J. (2014) <doi:10.1016/j.patcog.2014.03.006>.
Author: Kamieniecki Konrad [aut, cph], Spurek Przemyslaw [ctb], Simon Garnier [cre, ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between CEC versions 0.11.3 dated 2026-02-04 and 0.12.0 dated 2026-08-31

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Package cdcanthro updated to version 0.4.0 with previous version 0.3.0 dated 2026-07-28

Title: Standardized Metrics Based on the CDC and WHO Growth Charts
Description: Calculation of sex- and age-standardized growth metrics using the LMS method (lambda-mu-sigma). The package includes functions for the CDC Growth Charts (cdc_z) and the WHO Charts (who_z). Because CDC recommends using the WHO Charts for children under 24 months and the CDC Charts among older children, there can be large differences at age 2.0 years. For example, a girl weighing 9.9 kg would be at the WHO 10th percentile on the day before her second birthday, but at the CDC 2nd percentile the following day. The 'gradual_z' function reduces the differences among 2- to 5-year-olds by taking a weighted average of the CDC and WHO z-scores.
Author: David Freedman [aut, cre] , Carrie Daymont [ctb]
Maintainer: David Freedman <DavidSFreedman@gmail.com>

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

Title: Get Network Representation of an R Package
Description: Tools from the domain of graph theory can be used to quantify the complexity and vulnerability to failure of a software package. That is the guiding philosophy of this package. 'pkgnet' provides tools to analyze the dependencies between functions in an R package and between its imported packages. See the pkgnet website for vignettes and other supplementary information.
Author: Brian Burns [aut, cre], James Lamb [aut], Jay Qi [aut]
Maintainer: Brian Burns <brian.burns.opensource@gmail.com>

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Package MapperAlgo updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-13

Title: Topological Data Analysis: Mapper Algorithm
Description: The Mapper algorithm from Topological Data Analysis, the steps are as follows 1. Define a filter (lens) function on the data. 2. Perform clustering within each level set. 3. Generate a complex from the clustering results.
Author: ChiChien Wang [aut, cre, trl], Paul Pearson [ctb], Daniel Muellner [ctb], Gurjeet Singh [ctb]
Maintainer: ChiChien Wang <kennywang2003@gmail.com>

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Package lazybar readmission to version 0.1.1 with previous version 0.1.0 dated 2020-04-28

Title: Progress Bar with Remaining Time Forecast Method
Description: A simple progress bar showing estimated remaining time. Multiple forecast methods and user defined forecast method for the remaining time are supported.
Author: Yangzhuoran Yang [aut, cre]
Maintainer: Yangzhuoran Yang <yangyangzhuoran@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2020-04-28

Diff between lazybar versions 0.1.0 dated 2020-04-28 and 0.1.1 dated 2026-08-31

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Package edf updated to version 1.0.1 with previous version 1.0.0 dated 2016-04-22

Title: Read Data from European Data Format (EDF and EDF+) Files
Description: Import physiologic data stored in the European Data Format (EDF and EDF+) into R. Both EDF and EDF+ files are supported. Discontinuous EDF+ files are not yet supported.
Author: Andreas Henelius [aut, cre], Finnish Institute of Occupational Health [cph]
Maintainer: Andreas Henelius <andreas.henelius@iki.fi>

Diff between edf versions 1.0.0 dated 2016-04-22 and 1.0.1 dated 2026-08-31

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Package cmahalanobis updated to version 1.1.0 with previous version 1.0.0 dated 2025-09-14

Title: Calculate Distance Measures for DataFrames
Description: It provides functions that calculate Mahalanobis distance, Euclidean distance, Manhattan distance, Chebyshev distance, Hamming distance, Canberra distance, Minkowski dissimilarity (distance defined for p >= 1), Cosine dissimilarity, Bhattacharyya dissimilarity, Jaccard distance, Hellinger distance, Bray-Curtis dissimilarity, Sorensen-Dice dissimilarity between each pair of species in a list of data frames. These statistics are fundamental in various fields, such as cluster analysis, classification, and other applications of machine learning and data mining, where assessing similarity or dissimilarity between data is crucial. The package is designed to be flexible and easily integrated into data analysis workflows, providing reliable tools for evaluating distances in multidimensional contexts.
Author: Flavio Gioia [aut, cre]
Maintainer: Flavio Gioia <flaviogioia.fg@gmail.com>

Diff between cmahalanobis versions 1.0.0 dated 2025-09-14 and 1.1.0 dated 2026-08-31

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Package MFF updated to version 0.2.4 with previous version 0.2.3 dated 2026-08-24

Title: Meta Fuzzy Functions
Description: Implements Meta Fuzzy Functions (MFFs) for regression Tak and Ucan (2026) <doi:10.1016/j.asoc.2026.114592> by aggregating predictions from multiple base learners using membership weights learned in the prediction space of validation set. The package supports fuzzy and crisp meta-ensemble structures via Fuzzy C-Means (FCM) Tak (2018) <doi:10.1016/j.asoc.2018.08.009>, Possibilistic FCM (PFCM) Tak (2021) <doi:10.1016/j.ins.2021.01.024>, Gustafson–Kessel (GK) clustering, and k-means, and provides a workflow to (i) generate validation/test prediction matrices from common regression learners (linear and penalized regression via 'glmnet', random forests, gradient boosting with 'xgboost' and 'lightgbm'), (ii) fit cluster-wise meta fuzzy functions and compute membership-based weights, (iii) tune clustering-related hyperparameters (number of clusters/functions, fuzziness exponent, possibilistic regularization) via grid search on validation loss, and (iv) predict on new/test pre [...truncated...]
Author: Nihat Tak [aut, cre], Sadik Coban [ctb]
Maintainer: Nihat Tak <nihattak@gmail.com>

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Sun, 30 Aug 2026

Package scoringfunctions updated to version 1.2 with previous version 1.1 dated 2025-03-03

Title: Loss Functions for Assessing Point Forecasts
Description: Implements consistent loss functions and the corresponding identification functions for point forecasts, including those of the mean, the median, quantiles, expectiles, moments and Huber functionals (Gneiting T (2011) <doi:10.1198/jasa.2011.r10138>; Fissler T, Ziegel JF (2016) <doi:10.1214/16-AOS1439>). Pointwise losses and realised average scores are both available. Detailed documentation of the functions' properties is included for facilitating the interpretation of results.
Author: Hristos Tyralis [aut, cre] , Georgia Papacharalampous [aut]
Maintainer: Hristos Tyralis <montchrister@gmail.com>

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Package HIMA readmission to version 2.3.4 with previous version 2.3.3 dated 2025-11-17

Title: High-Dimensional Mediation Analysis
Description: Allows to estimate and test high-dimensional mediation effects based on advanced mediator screening and penalized regression techniques. Methods used in the package refer to Zhang H, Zheng Y, Hou L, Liu L, HIMA: An R Package for High-Dimensional Mediation Analysis. Journal of Data Science. (2025). <doi:10.6339/25-JDS1192>.
Author: Yinan Zheng [aut, cre] , Haixiang Zhang [aut], Lifang Hou [aut], Lei Liu [aut, cph]
Maintainer: Yinan Zheng <y-zheng@northwestern.edu>

This is a re-admission after prior archival of version 2.3.3 dated 2025-11-17

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Package collapse updated to version 2.1.8 with previous version 2.1.7 dated 2026-05-19

Title: Advanced and Fast Data Transformation
Description: A large C/C++-based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust, and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R, fast functions for data transformation and common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It seamlessly supports base R objects/cla [...truncated...]
Author: Sebastian Krantz [aut, cre] , Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], Alina Cherkas [ctb], Ivan Krylov [ctb], R Core Team and contributors worldwide [ctb], Martyn P [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package Uno updated to version 2.7.4-1 with previous version 2.7.4 dated 2026-06-17

Title: R Interface to the 'Uno' Nonlinear Optimization Solver
Description: Bindings to 'Uno' (Unifying Nonlinear Optimization), a C++ solver for smooth nonlinearly constrained optimization. 'Uno' unifies Lagrange-Newton methods, including sequential quadratic programming and interior-point methods, by decomposing them into interacting building blocks (constraint-relaxation, inequality-handling, Hessian, and globalization strategies) that can be freely combined, either through options or through presets that reproduce established solvers such as 'filterSQP' and 'IPOPT'. The framework is described in Vanaret and Leyffer (2024) <doi:10.48550/arXiv.2406.13454>.
Author: Balasubramanian Narasimhan [aut, cre], Charlie Vanaret [aut, cph] , Sven Leyffer [aut, cph] , HiGHS development team [cph] ; see inst/COPYRIGHTS)
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package smqf updated to version 1.1-8 with previous version 1.1-7 dated 2026-08-23

Title: Statistical Methods for Quantitative Finance
Description: Provides data and functions used in the book "Statistical Methods for Quantitative Finance" by David Ardia (2026).
Author: David Ardia [aut, cre, cph, fnd] , Marius Hofert [ctb, cph] , Kurt Hornik [ctb, cph] , Alexander J. McNeil [ctb, cph] , Dries Cornilly [ctb, cph] was ported under GPL-2 | GPL-3), Kris Boudt [ctb, cph] was ported under GPL-2 | GPL-3)
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package scip updated to version 1.10.0-4 with previous version 1.10.0-3 dated 2026-04-10

Title: Interface to the SCIP Optimization Suite
Description: Provides an R interface to SCIP (Solving Constraint Integer Programs), a framework for mixed-integer programming (MIP), mixed-integer nonlinear programming (MINLP), and constraint integer programming (2025, <doi:10.48550/arXiv.2511.18580>). Supports linear, quadratic, SOS, indicator, and knapsack constraints with continuous, binary, and integer variables. Includes a one-shot solver interface and a model-building API for incremental problem construction.
Author: Balasubramanian Narasimhan [aut, cre] , SCIP Optimization Suite Authors [cph]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package term updated to version 0.4.0 with previous version 0.3.7 dated 2026-01-30

Title: Create, Manipulate and Query Parameter Terms
Description: Creates, manipulates, queries and repairs vectors of parameter terms. Parameter terms are the labels used to reference values in vectors, matrices and arrays. They represent the names in coefficient tables and the column names in 'mcmc' and 'mcmc.list' objects.
Author: Joe Thorley [aut, cre] , Kirill Mueller [aut] , Ayla Pearson [ctb] , Evan Amies-Galonski [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package mcmcr updated to version 0.7.0 with previous version 0.6.2 dated 2025-01-23

Title: Manipulate MCMC Samples
Description: Functions and classes to store, manipulate and summarise Monte Carlo Markov Chain (MCMC) samples. For more information see Brooks et al. (2011) <isbn:978-1-4200-7941-8>.
Author: Joe Thorley [aut, cre] , Kirill Mueller [ctb] , Nadine Hussein [ctb] , Ayla Pearson [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package dexisensitivity updated to version 1.0.3 with previous version 1.0.2 dated 2025-09-08

Title: 'DEXi' Decision Tree Analysis and Visualization
Description: Provides a versatile toolkit for analyzing and visualizing 'DEXi' (Decision EXpert for education) decision trees, facilitating multi-criteria decision analysis directly within R. Users can read .dxi files, manipulate decision trees, and evaluate various scenarios. It supports sensitivity analysis through Monte Carlo simulations, one-at-a-time approaches, and variance-based methods, helping to discern the impact of input variations. Additionally, it includes functionalities for generating sampling plans and an array of visualization options for decision trees and analysis results. A distinctive feature is the synoptic table plot, aiding in the efficient comparison of scenarios. Whether for in-depth decision modeling or sensitivity analysis, this package stands as a comprehensive solution. Definition of sensitivity analyses available in Carpani, Bergez and Monod (2012) <doi:10.1016/j.envsoft.2011.10.002> and detailed description of the package available in Alaphilippe et al. (2025) [...truncated...]
Author: Roland Allart [aut], Jacques-Eric Bergez [aut] , Marta Carpani [aut], Herve Monod [aut] , Aude Alaphilippe [ctb] , Nicolas Cavan [ctb, cre], INRAE [cph] )
Maintainer: Nicolas Cavan <nicolas.cavan@inrae.fr>

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Package swash updated to version 2.0.2 with previous version 2.0.1 dated 2026-05-24

Title: Health Geography Toolbox for Model-Based Analysis of Infections Panel Data
Description: Within epidemic outbreaks, infections grow and decline differently between regions, and the velocity of spatial spread differs between countries. The swash library offers a set of model-based analyses for these topics. Spread velocity may be analysed with the Swash-Backwash Model for the Single Epidemic Wave and corresponding functions for bootstrap confidence intervals, country comparison, and visualization of results. Differences in epidemic growth between regions may be analysed using logistic growth models, exponential growth models, Hawkes processes and breakpoint analyses. All functionalities are accessed by the class "infpan" for infections panel data defined in this package, which is built from a data.frame provided by the user.
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>

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Package overlapping updated to version 2.5 with previous version 2.4 dated 2026-02-19

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

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Package seqmagick updated to version 0.1.9 with previous version 0.1.8 dated 2026-01-31

Title: Sequence Manipulation Utilities
Description: Tools for reading and writing biological sequences in multiple formats, including 'FASTA', 'PHYLIP', 'CLUSTAL', 'STOCKHOLM', 'MEGA' and 'GenBank'. Supports interleaved and sequential layouts where applicable, and reads or writes gzip, bzip2 and xz compressed files transparently. Converts between formats, renames sequences via a two-column mapping, summarizes sequence counts, lengths, GC content and ambiguous characters, and manipulates sequence sets (e.g., filtering by patterns and computing consensus sequences from alignments). Also includes functions to download nucleotide records from NCBI by accession.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package migraph updated to version 1.7.0 with previous version 1.6.8 dated 2026-07-31

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

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Package zarr updated to version 0.5.0 with previous version 0.4.2 dated 2026-07-11

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

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Package SynthETIC updated to version 1.1.2 with previous version 1.1.1 dated 2025-11-02

Title: Synthetic Experience Tracking Insurance Claims
Description: Creation of an individual claims simulator which generates various features of non-life insurance claims. An initial set of test parameters, designed to mirror the experience of an Auto Liability portfolio, were set up and applied by default to generate a realistic test data set of individual claims (see vignette). The simulated data set then allows practitioners to back-test the validity of various reserving models and to prove and/or disprove certain actuarial assumptions made in claims modelling. The distributional assumptions used to generate this data set can be easily modified by users to match their experiences. Reference: Avanzi B, Taylor G, Wang M, Wong B (2020) "SynthETIC: an individual insurance claim simulator with feature control" <doi:10.48550/arXiv.2008.05693>.
Author: Benjamin Avanzi [aut], William Ho [aut], Greg Taylor [aut], Melantha Wang [aut, cre], Bernard Wong [aut], Patrick Laub [ctb]
Maintainer: Melantha Wang <wang.melantha@gmail.com>

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Package SimDesign updated to version 2.27 with previous version 2.26 dated 2026-07-27

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] , Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Roenkkoe [aut], Moritz Ketzer [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package rEDM updated to version 2.0.2 with previous version 2.0.1 dated 2026-07-30

Title: Empirical Dynamic Modeling ('EDM')
Description: An implementation of 'EDM' algorithms based on research software developed at the Sugihara Lab ('UCSD/SIO'). Primary methods include 'Simplex' projection from Sugihara & May (1990) <doi:10.1038/344734a0>, Sequential locally-weighted global linear maps 'S-map': Sugihara (1994) <doi:10.1098/rsta.1994.0106>, Convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'Multiview embedding' from Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.
Author: Joseph Park [aut, cre] , George Sugihara [aut, ccp] , Ethan Deyle [aut] , The Regents of the University of California [cph]
Maintainer: Joseph Park <JosephPark@IEEE.org>

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Package random updated to version 0.2.7 with previous version 0.2.6 dated 2017-02-05

Title: True Random Numbers using RANDOM.ORG
Description: The true random number service provided by the RANDOM.ORG website created by Mads Haahr samples atmospheric noise via radio tuned to an unused broadcasting frequency together with a skew correction algorithm due to John von Neumann. More background is available in the included vignette based on an essay by Mads Haahr. In its current form, the package offers functions to retrieve random integers, randomized sequences and random strings.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package HistData updated to version 1.1.0 with previous version 1.0.0 dated 2025-11-30

Title: Data Sets from the History of Statistics and Data Visualization
Description: The 'HistData' package provides a collection of small data sets that are interesting and important in the history of statistics and data visualization. The goal of the package is to make these available, both for instructional use and for historical research. Some of these present interesting challenges for graphics or analysis in R.
Author: Michael Friendly [aut, cre] , Stephane Dray [aut] , Peter Li [aut] , David Bellhouse [aut], Hadley Wickham [ctb], James Hanley [ctb], Dennis Murphy [ctb], Luiz Droubi [ctb], James Riley [ctb], Antoine de Falguerolles [ctb], Monique Graf [ctb], Nevill [...truncated...]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package hcruR updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-01

Title: Estimate, Compare, and Visualize Healthcare Resource Utilization for Real-World Evidence
Description: Tools to estimate, compare, and visualize healthcare resource utilization using data derived from electronic health records or real-world evidence sources. The package supports pre index and post index analysis, patient cohort comparison, and customizable summaries and visualizations for clinical and health economics research. Methods implemented are based on Scott et al. (2022) <doi:10.1080/13696998.2022.2037917> and Xia et al. (2024) <doi:10.14309/ajg.0000000000002901>.
Author: Maheshkumar Umbarkar [aut, cre, cph], Safiuddin Shoeb Syed [ctb]
Maintainer: Maheshkumar Umbarkar <maheshubr30@gmail.com>

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Package ggthemes updated to version 6.0.0 with previous version 5.2.0 dated 2025-11-30

Title: Extra Themes, Scales and Geoms for 'ggplot2'
Description: Some extra themes, geoms, and scales for 'ggplot2'. Provides 'ggplot2' themes and scales that replicate the look of plots by Edward Tufte, Stephen Few, 'Fivethirtyeight', 'The Economist', 'Stata', 'Excel', and 'The Wall Street Journal', among others. Provides 'geoms' for Tufte's box plot and range frame.
Author: Jeffrey B. Arnold [aut, cre] , Gergely Daroczi [ctb], Bo Werth [ctb], Brian Weitzner [ctb], Joshua Kunst [ctb], Baptiste Auguie [ctb], Bob Rudis [ctb], Hadley Wickham [ctb] , Justin Talbot [ctb] , Joshua London [ctb]
Maintainer: Jeffrey B. Arnold <jeffrey.arnold@gmail.com>

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Package rsmatrix updated to version 0.3.0 with previous version 0.2.11 dated 2026-08-01

Title: Matrices for Repeat-Sales Price Indexes
Description: Calculate the matrices in Shiller (1991, <doi:10.1016/S1051-1377(05)80028-2>) that serve as the foundation for many repeat-sales price indexes.
Author: Steve Martin [aut, cre, cph]
Maintainer: Steve Martin <marberts@protonmail.com>

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Sat, 29 Aug 2026

Package weightflow updated to version 1.2.0 with previous version 1.1.0 dated 2026-08-19

Title: Declarative Recipes for Staged Survey Weighting with Recipe-Aware Replicate Variances
Description: Builds survey analysis weights by declaring the whole weighting process as an ordered recipe of explicit adjustments and estimating it in a single call. Steps include within-cluster selection, second-phase subsampling for two-phase sampling, nonresponse adjustment by weighting classes or response-propensity models (including machine-learning learners with optional cross-fitting), calibration to known totals following Deville and Sarndal (1992) <doi:10.2307/2290268> with optional model-assisted calibration following Wu and Sitter (2001) <doi:10.1198/016214501750333054>, adjustment of non-probability samples by pseudo-weighting, mass imputation and doubly robust estimators, and range-restricted trimming. Variances come from a recipe-aware bootstrap and jackknife that resample or delete primary sampling units and re-apply the entire cascade on each replicate, following Rao and Wu (1988) <doi:10.1080/01621459.1988.10478591>, and are separated into first- and second-phase [...truncated...]
Author: Juan Pablo Ferreira [aut, cre, cph] , Andres Gutierrez [aut]
Maintainer: Juan Pablo Ferreira <juanpablo.ferreira@fcea.edu.uy>

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Package minex updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-16

Title: Automatically Reduce Failing R Scripts to a Minimal Reproducible Example
Description: Shrinks a failing R script to the smallest subset of statements that still triggers the same error, using the delta debugging algorithm of Zeller and Hildebrandt (2002) <doi:10.1109/32.988498>. Each candidate reduction is evaluated in a separate R process, so dependencies between statements and their side effects are respected. The result is a one-minimal example, in which removing any remaining statement makes the error disappear; this is the form most useful for bug reports and for questions on community forums. When no statement can be removed, because the failure is nested inside a function body, reduction continues within the surviving statements. A general delta debugging routine and a helper for reducing data frames to the rows that reproduce a failure are also provided.
Author: Sandeep Bodduluri [aut, cph] , Sumanth Chandrupatla [aut, cre, cph]
Maintainer: Sumanth Chandrupatla <srchandr@uab.edu>

Diff between minex versions 0.1.0 dated 2026-07-16 and 0.2.0 dated 2026-08-29

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More information about minex at CRAN
Permanent link

Package ClustAssess updated to version 1.2.0 with previous version 1.1.0 dated 2025-05-27

Title: Tools for Assessing Clustering
Description: A set of tools for evaluating clustering robustness using proportion of ambiguously clustered pairs (Senbabaoglu et al. (2014) <doi:10.1038/srep06207>), as well as similarity across methods and method stability using element-centric clustering comparison (Gates et al. (2019) <doi:10.1038/s41598-019-44892-y>). Additionally, this package enables stability-based parameter assessment for graph-based clustering pipelines typical in single-cell data analysis.
Author: Andi Munteanu [aut, cre], Arash Shahsavari [aut], Rafael Kollyfas [ctb], Miguel Larraz Lopez de Novales [aut], Liviu Ciortuz [ctb], Irina Mohorianu [aut]
Maintainer: Andi Munteanu <am3019@cam.ac.uk>

Diff between ClustAssess versions 1.1.0 dated 2025-05-27 and 1.2.0 dated 2026-08-29

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More information about ClustAssess at CRAN
Permanent link

Package alcyon updated to version 0.9.0 with previous version 0.8.1 dated 2025-05-05

Title: Spatial Network Analysis
Description: Interface package for 'sala', the spatial network analysis library from the 'depthmapX' software application. The R parts of the code are based on the 'rdepthmap' package. Allows for the analysis of urban and building-scale networks and provides metrics and methods usually found within the Space Syntax domain. Methods in this package are described by K. Al-Sayed, A. Turner, B. Hillier, S. Iida and A. Penn (2014) "Space Syntax methodology", and also by A. Turner (2004) <https://discovery.ucl.ac.uk/id/eprint/2651> "Depthmap 4: a researcher's handbook".
Author: Petros Koutsolampros [cre, aut] , Fani Kostourou [ctb] , Kimon Krenz [ctb] , Alasdair Turner [ctb] , Tasos Varoudis [ctb] , Christian Sailer [ctb] , Eva Friedrich [ctb] , University College London [fnd, cph] , Spacelab UK [fnd]
Maintainer: Petros Koutsolampros <r-devel@pklampros.net>

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Package mellio updated to version 1.1.0 with previous version 1.0.2 dated 2026-07-08

Title: Polished, Editable Tables and Statistical Results
Description: Sends supported 'R' objects to the 'Mellio' web app and creates polished, editable statistical tables in 'R'. The 'mellio_open' interface handles common hypothesis tests, model objects, model comparisons, descriptive summaries, tabular data, plots, and image files. The 'melliotab' interface formats data frames, model summaries, correlation matrices, and side-by-side comparison tables with APA-style numeric formatting, confidence intervals, table notes, and optional significance markers. Manual table helpers can copy or save 'melliotab' output as 'HTML', 'LaTeX', or 'Markdown' when file-based handoff is needed. Payloads include package-version metadata to support reproducible reporting and software citation.
Author: Melih Sahin [aut, cre]
Maintainer: Melih Sahin <nicomelpro@pm.me>

Diff between mellio versions 1.0.2 dated 2026-07-08 and 1.1.0 dated 2026-08-29

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Package huggingfaceR updated to version 2.2.0 with previous version 2.1.0 dated 2026-06-30

Title: Access 'Hugging Face' Models and Datasets
Description: Access models and datasets hosted on the 'Hugging Face' Hub through its Inference Application Programming Interface (API). Run text classification, embeddings, chat, translation, image, audio, and other tasks from tidy 'R' workflows without installing 'Python' by default. Results are returned as data frames or simple 'R' objects so they can be composed with 'dplyr', 'tidyr', and related tooling. Helpers also support Hub search, file download, provider discovery, and guarded uploads for authenticated workflows.
Author: Alex Farach [aut, cre, cph], Sam Terfa [aut, cph], Jack Penzer [aut, cph]
Maintainer: Alex Farach <alexfarach@gmail.com>

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Package tidydann updated to version 1.0.2 with previous version 1.0.1 dated 2025-04-12

Title: Add the 'dann' Model and the 'sub_dann' Model to the 'tidymodels' Ecosystem
Description: Provides model specifications and tuning parameters that make the models in the 'dann' package available to the 'tidymodels' ecosystem. Models based on Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

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Package sstn updated to version 1.0.2 with previous version 1.0.1 dated 2026-04-11

Title: Self-Similarity Test for Normality
Description: Implements the Self-Similarity Test for Normality (SSTN), a new statistical test designed to assess whether a given sample originates from a normal distribution. The method exploits the self-similarity property of the normal characteristic function by iteratively transforming and comparing standardized empirical characteristic functions. The null distribution of the test statistic is obtained via Monte Carlo simulation. Details of the methodology are described in Anarat and Schwender (2026), "A test for normality based on self-similarity", <doi:10.48550/arXiv.2604.03810>.
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>

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Package fitdistrBayes updated to version 0.2.2 with previous version 0.2.0 dated 2026-08-06

Title: Objective Bayesian Distribution Fitting
Description: Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors, and supports user-defined distributions and priors through an extensible model specification. Model-specific posterior propriety and moment conditions are checked before computation when registered or supplied. Exact simulation, marginalization, slice sampling, adaptive Metropolis, and user-supplied posterior samplers share a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. The reference-prior framework follows Bernardo (1979) <doi:10.1111/j.2517-6161.1979.tb01066.x>.
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>

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Package cox.rvph updated to version 0.2.0 with previous version 0.1.5 dated 2026-08-19

Title: Remedy for Violations of the Proportional Hazards Assumption in Cox Proportional Hazards Models
Description: Remedying proportional hazards assumption violations of a Cox proportional hazards model using stepwise changepoint and time-varying coefficient methods based on Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x> and Klein and Moeschberger (1997) <doi:10.1007/978-1-4757-2728-9>.
Author: Hamin Kim [aut, cre]
Maintainer: Hamin Kim <haaamin@korea.ac.kr>

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Package autoslider.core updated to version 0.3.3 with previous version 0.3.2 dated 2026-01-12

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

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Package ipeval updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-06

Title: Interventional Prediction Evaluation
Description: Provides methods to evaluate predictive performance of models that estimate risks under hypothetical intervention scenarios (interventional/causal/counterfactual predictions) with observational data subject to treatment-outcome confounding. Inverse probability of treatment weighting (IPTW) is used to construct a pseudopopulation in which all individuals receive a specified intervention, enabling assessment of agreement between predicted risks under the intervention and observed outcomes in the pseudo-population corresponding to that intervention. Supports interventions with binary or categorical treatment levels, applied at a single time point. Performance measures supported are AUC (Area Under the receiving operating characteristic Curve), Brier score, observed-expected ratio, and calibration plots. Methods implemented in this package are based on work by Keogh and Van Geloven (2024) <DOI:10.1097/EDE.0000000000001713>.
Author: Jasper van Egeraat [aut, cre], Nan van Geloven [aut, cph], Ruth Keogh [aut, cph], Leiden University Medical Center [fnd]
Maintainer: Jasper van Egeraat <j.w.a.van_egeraat@lumc.nl>

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Package GetTDData updated to version 1.7.0 with previous version 1.6.0 dated 2026-06-04

Title: Get Data for Brazilian Bonds (Tesouro Direto)
Description: Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto <https://www.tesourodireto.com.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package yulab.utils updated to version 0.2.5 with previous version 0.2.4 dated 2026-02-02

Title: Supporting Functions for Packages Maintained by 'YuLab-SMU'
Description: Miscellaneous functions commonly used by 'YuLab-SMU'.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package tabxplor updated to version 2.0.0 with previous version 1.3.1 dated 2025-09-26

Title: User-Friendly Tables with Color Helpers for Data Exploration
Description: Make it easy to deal with multiple cross-tables in data exploration, by creating them, manipulating them, and adding color helpers to highlight deviations (differences from totals, comparisons between lines or columns, contributions to variance, odds ratios, etc.) and significance (confidence intervals, stars, etc.). Create the same kind of tables for regression models, with a framework to compare model effects with their crude/observed counterpart systematically. All functions render data frames which can be easily manipulated. All tables can be exported with formats and colors to 'Excel', html and markdown.
Author: Brice Nocenti [aut, cre]
Maintainer: Brice Nocenti <brice.nocenti@protonmail.com>

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Title: Encrypt and Decrypt Strings, R Objects and Files
Description: A consistent interface to encrypt and decrypt strings, R objects and files using symmetric and asymmetric key encryption.
Author: Komala Sheshachala Srikanth [aut, cre]
Maintainer: Komala Sheshachala Srikanth <sri.teach@gmail.com>

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Package rstantools updated to version 2.7.1 with previous version 2.7.0 dated 2026-07-25

Title: Tools for Developing R Packages Interfacing with 'Stan'
Description: Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
Author: Jonah Gabry [aut], Ben Goodrich [aut], Martin Lysy [aut], Andrew Johnson [aut, cre], Hamada S. Badr [ctb], Marco Colombo [ctb], Stefan Siegert [ctb], Visruth Srimath Kandali [ctb], Trustees of Columbia University [cph]
Maintainer: Andrew Johnson <andrew.johnson@arjohnsonau.com>

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Package gsDesign updated to version 3.11.0 with previous version 3.10.1 dated 2026-07-19

Title: Group Sequential Design
Description: Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Author: Keaven Anderson [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
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Package autograph updated to version 1.2.2 with previous version 1.2.1 dated 2026-08-26

Title: Automatic Plotting and Theming of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between autograph versions 1.2.1 dated 2026-08-26 and 1.2.2 dated 2026-08-29

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Package uwot updated to version 0.2.5 with previous version 0.2.4 dated 2025-11-10

Title: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
Description: An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/arXiv.1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <doi:10.48550/arXiv.1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
Author: James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb], Wouter van der Bijl [ctb], Hugo Gruson [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

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