Wed, 04 Mar 2026

Package did2s updated to version 1.2.1 with previous version 1.2.0 dated 2025-09-19

Title: Two-Stage Difference-in-Differences Following Gardner (2021)
Description: Estimates Two-way Fixed Effects difference-in-differences/event-study models using the approach proposed by Gardner (2021) <doi:10.48550/arXiv.2207.05943>. To avoid the problems caused by OLS estimation of the Two-way Fixed Effects model, this function first estimates the fixed effects and covariates using untreated observations and then in a second stage, estimates the treatment effects.
Author: Kyle Butts [aut, cre] , John Gardner [aut] , Grant McDermott [ctb] , Laurent Berge [ctb]
Maintainer: Kyle Butts <buttskyle96@gmail.com>

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Package climate updated to version 1.3.0 with previous version 1.2.9 dated 2026-02-03

Title: Interface to Download Meteorological (and Hydrological) Datasets
Description: Automatize downloading of meteorological and hydrological data from publicly available repositories: OGIMET (<http://ogimet.com/index.phtml.en>), University of Wyoming - atmospheric vertical profiling data (<http://weather.uwyo.edu/upperair/>), Polish Institute of Meteorology and Water Management - National Research Institute (<https://danepubliczne.imgw.pl>), and National Oceanic & Atmospheric Administration (NOAA). This package also allows for searching geographical coordinates for each observation and calculate distances to the nearest stations.
Author: Bartosz Czernecki [aut, cre] , Arkadiusz Glogowski [aut] , Jakub Nowosad [aut] , IMGW-PIB [ctb]
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>

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Package chores updated to version 0.3.1 with previous version 0.3.0 dated 2025-12-09

Title: A Collection of Large Language Model Assistants
Description: Provides a collection of ergonomic large language model assistants designed to help you complete repetitive, hard-to-automate tasks quickly. After selecting some code, press the keyboard shortcut you've chosen to trigger the package app, select an assistant, and watch your chore be carried out. While the package ships with a number of chore helpers for R package development, users can create custom helpers just by writing some instructions in a markdown file.
Author: Simon Couch [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

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Package brisk updated to version 0.1.1 with previous version 0.1.0 dated 2022-08-31

Title: Bayesian Benefit Risk Analysis
Description: Quantitative methods for benefit-risk analysis help to condense complex decisions into a univariate metric describing the overall benefit relative to risk. One approach is to use the multi-criteria decision analysis framework (MCDA), as in Mussen, Salek, and Walker (2007) <doi:10.1002/pds.1435>. Bayesian benefit-risk analysis incorporates uncertainty through posterior distributions which are inputs to the benefit-risk framework. The brisk package provides functions to assist with Bayesian benefit-risk analyses, such as MCDA. Users input posterior samples, utility functions, weights, and the package outputs quantitative benefit-risk scores. The posterior of the benefit-risk scores for each group can be compared. Some plotting capabilities are also included.
Author: Richard Payne [aut, cre], Sai Dharmarajan [rev], Eli Lilly and Company [cph]
Maintainer: Richard Payne <paynestatistics@gmail.com>

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Package wizaRdry updated to version 0.6.5 with previous version 0.6.4 dated 2026-02-03

Title: A Magical Framework for Collaborative & Reproducible Data Analysis
Description: A comprehensive data analysis framework for NIH-funded research that streamlines workflows for both data cleaning and preparing NIH Data Archive ('NDA') submission templates. Provides unified access to multiple data sources ('REDCap', 'MongoDB', 'Qualtrics', 'SQL', 'ORACLE') through interfaces to their APIs, with specialized functions for data cleaning, filtering, merging, and parsing. Features automatic validation, field harmonization, and memory-aware processing to enhance reproducibility in multi-site collaborative research as described in Mittal et al. (2021) <doi:10.20900/jpbs.20210011>.
Author: Joshua G. Kenney [aut, cre], Trevor F. Williams [aut], Minerva K. Pappu [aut], Michael J. Spilka [aut], Danielle N. Pratt [ctb], Victor J. Pokorny [ctb], Santiago Castiello de Obeso [ctb], Praveen Suthaharan [ctb], Christian R. Horgan [ctb]
Maintainer: Joshua G. Kenney <joshua.kenney@yale.edu>

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Package tglkmeans updated to version 0.6.1 with previous version 0.5.8 dated 2026-01-14

Title: Efficient Implementation of K-Means++ Algorithm
Description: Efficient implementation of K-Means++ algorithm. For more information see (1) "kmeans++ the advantages of the k-means++ algorithm" by David Arthur and Sergei Vassilvitskii (2007), Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, pp. 1027-1035, and (2) "The Effectiveness of Lloyd-Type Methods for the k-Means Problem" by Rafail Ostrovsky, Yuval Rabani, Leonard J. Schulman and Chaitanya Swamy <doi:10.1145/2395116.2395117>.
Author: Aviezer Lifshitz [aut, cre], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package crossfit updated to version 0.1.3 with previous version 0.1.1 dated 2026-02-19

Title: A Graph-Based Cross-Fitting Engine in R
Description: Provides a general cross-fitting engine for semiparametric estimation (e.g., double/debiased machine learning). Supports user-defined target functionals and directed acyclic graphs of nuisance learners with per-node training fold widths, target-specific evaluation windows, and fold-allocation modes ("overlap", "disjoint", "independence"). Returns either numeric estimates (mode = "estimate") or cross-fitted prediction functions (mode = "predict"), with configurable aggregation over panels and repetitions, reuse-aware caching, and failure isolation, making it well-suited for simulation studies and large benchmarks.
Author: Etienne Peyrot [aut, cre]
Maintainer: Etienne Peyrot <etienne.peyrot@inserm.fr>

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Package nfl4th updated to version 1.0.7 with previous version 1.0.6 dated 2026-02-17

Title: Functions to Calculate Optimal Fourth Down Decisions in the National Football League
Description: A set of functions to estimate outcomes of fourth down plays in the National Football League and obtain fourth down plays from <https://www.nfl.com/> and <https://www.espn.com/>.
Author: Ben Baldwin [aut, cre, cph], Sebastian Carl [ctb]
Maintainer: Ben Baldwin <bbaldwin206@gmail.com>

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Package IGC.CSM updated to version 0.3.1 with previous version 0.3.0 dated 2026-02-12

Title: Simulate Impact of Different Urban Policies Through a General Equilibrium Model
Description: Develops a General Equilibrium (GE) Model, which estimates key variables such as wages, the number of residents and workers, the prices of the floor space, and its distribution between commercial and residential use, as in Ahlfeldt et al., (2015) <doi:10.3982/ECTA10876>. By doing so, the model allows understanding the economic influence of different urban policies.
Author: David Zarruk [aut], Roman Zarate [aut, cre]
Maintainer: Roman Zarate <rd.zarate40@gmail.com>

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Package halfmoon updated to version 0.2.0 with previous version 0.1.0 dated 2023-05-30

Title: Techniques to Build Better Balance
Description: Build better balance in causal inference models. 'halfmoon' helps you assess propensity score models for balance between groups using metrics like standardized mean differences and visualization techniques like mirrored histograms. 'halfmoon' supports both weighting and matching techniques.
Author: Malcolm Barrett [aut, cre, cph]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>

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Package rpact updated to version 4.4.0 with previous version 4.3.0 dated 2025-12-16

Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2025) <doi:10.1007/978-3-031-89669-9>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut] , Friedrich Pahlke [aut, cre] , Till Jensen [ctb], Daniel Sabanes Bove [ctb] , Stephen Schueuerhuis [ctb] , Tobias Muetze [ctb] , RPACT GmbH [cph, fnd]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>

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Package gkgraphR updated to version 1.0.3 with previous version 1.0.2 dated 2021-03-01

Title: Accessing the Official 'Google Knowledge Graph' API
Description: A simple way to interact with and extract data from the official 'Google Knowledge Graph' API <https://developers.google.com/knowledge-graph/>.
Author: Ricardo Correia [aut, cre]
Maintainer: Ricardo Correia <rahc85@gmail.com>

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Package cepreader updated to version 1.3-0 with previous version 1.2-2 dated 2023-06-25

Title: Read 'CEP' and Legacy 'CANOCO' Files
Description: Read Condensed Cornell Ecology Program ('CEP') and legacy 'CANOCO' files into R data frames.
Author: Jari Oksanen [aut, cre] , Gavin L. Simpson [aut]
Maintainer: Jari Oksanen <jhoksane@gmail.com>

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Package metamorphr updated to version 0.3.0 with previous version 0.2.0 dated 2025-10-09

Title: Tidy and Streamlined Metabolomics Data Workflows
Description: Facilitate tasks typically encountered during metabolomics data analysis including data import, filtering, missing value imputation (Stacklies et al. (2007) <doi:10.1093/bioinformatics/btm069>, Stekhoven et al. (2012) <doi:10.1093/bioinformatics/btr597>, Tibshirani et al. (2017) <doi:10.18129/B9.BIOC.IMPUTE>, Troyanskaya et al. (2001) <doi:10.1093/bioinformatics/17.6.520>), normalization (Bolstad et al. (2003) <doi:10.1093/bioinformatics/19.2.185>, Dieterle et al. (2006) <doi:10.1021/ac051632c>, Zhao et al. (2020) <doi:10.1038/s41598-020-72664-6>) transformation, centering and scaling (Van Den Berg et al. (2006) <doi:10.1186/1471-2164-7-142>) as well as statistical tests and plotting. 'metamorphr' introduces a tidy (Wickham et al. (2019) <doi:10.21105/joss.01686>) format for metabolomics data and is designed to make it easier to build elaborate analysis workflows and to integrate them with 'tidyverse' packages including 'dplyr' and [...truncated...]
Author: Yannik Schermer [aut, cre, cph]
Maintainer: Yannik Schermer <yannik.schermer@chem.rptu.de>

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Package azr updated to version 0.3.1 with previous version 0.3.0 dated 2026-02-17

Title: Credential Chain for Seamless 'OAuth 2.0' Authentication to 'Azure Services'
Description: Implements a credential chain for 'Azure OAuth 2.0' authentication based on the package 'httr2''s 'OAuth' framework. Sequentially attempts authentication methods until one succeeds. During development allows interactive browser-based flows ('Device Code' and 'Auth Code' flows) and non-interactive flow ('Client Secret') in batch mode.
Author: Pedro Baltazar [aut, cre]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

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Package rKolada updated to version 0.3.0 with previous version 0.2.3 dated 2024-05-14

Title: Access Data from the 'Kolada' Database
Description: Methods for downloading and processing data and metadata from 'Kolada', the official Swedish regions and municipalities database <https://www.kolada.se/>.
Author: Love Hansson [aut, cre, cph]
Maintainer: Love Hansson <love.hansson@gmail.com>

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Package HMDA updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-16

Title: Holistic Multimodel Domain Analysis for Exploratory Machine Learning
Description: Holistic Multimodel Domain Analysis (HMDA) is a robust and transparent framework designed for exploratory machine learning research, aiming to enhance the process of feature assessment and selection. HMDA addresses key limitations of traditional machine learning methods by evaluating the consistency across multiple high-performing models within a fine-tuned modeling grid, thereby improving the interpretability and reliability of feature importance assessments. Specifically, it computes Weighted Mean SHapley Additive exPlanations (WMSHAP), which aggregate feature contributions from multiple models based on weighted performance metrics. HMDA also provides confidence intervals to demonstrate the stability of these feature importance estimates. This framework is particularly beneficial for analyzing complex, multidimensional datasets common in health research, supporting reliable exploration of mental health outcomes such as suicidal ideation, suicide attempts, and other psychological cond [...truncated...]
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@hotmail.com>

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Package finbif updated to version 0.9.13 with previous version 0.9.12 dated 2026-01-27

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

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Package sshist updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-13

Title: Optimal Histogram Binning Using Shimazaki-Shinomoto Method
Description: Implements the Shimazaki-Shinomoto method for optimizing the bin width of a histogram. This method minimizes the mean integrated squared error (MISE) and features a 'C++' backend for high performance and shift-averaging to remove edge-position bias. Ideally suits for time-dependent rate estimation and identifying intrinsic data structures. Supports both 1D and 2D data distributions. For more details see Shimazaki and Shinomoto (2007) "A Method for Selecting the Bin Size of a Time Histogram" <doi:10.1162/neco.2007.19.6.1503>.
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>

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Package httpgd readmission to version 2.1.4 with previous version 2.0.4 dated 2025-03-15

Title: A 'HTTP' Server Graphics Device
Description: A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves graphics via 'HTTP' and 'WebSockets'.
Author: Florian Rupprecht [aut, cre] , Kun Ren [ctb], Jeroen Ooms [ctb]
Maintainer: Florian Rupprecht <floruppr@gmail.com>

This is a re-admission after prior archival of version 2.0.4 dated 2025-03-15

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Package BioTIMEr updated to version 0.3.2 with previous version 0.3.1 dated 2026-02-10

Title: Tools to Use and Explore the 'BioTIME' Database
Description: The 'BioTIME' database was first published in 2018 and inspired ideas, questions, project and research article. To make it even more accessible, an R package was created. The 'BioTIMEr' package provides tools designed to interact with the 'BioTIME' database. The functions provided include the 'BioTIME' recommended methods for preparing (gridding and rarefaction) time series data, a selection of standard biodiversity metrics (including species richness, numerical abundance and exponential Shannon) alongside examples on how to display change over time. It also includes a sample subset of both the query and meta data, the full versions of which are freely available on the 'BioTIME' website <https://biotime.st-andrews.ac.uk/home.php>.
Author: Alban Sagouis [aut, cre] , Faye Moyes [aut] , Ines S. Martins [aut, rev] , Shane A. Blowes [ctb] , Viviana Brambilla [ctb] , Cher F. Y. Chow [ctb] , Ada Fontrodona-Eslava [ctb] , Laura Antao [ctb, rev] , Jonathan M. Chase [fnd] , Maria Dornelas [fnd, [...truncated...]
Maintainer: Alban Sagouis <alban.sagouis@idiv.de>

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Package regressoR readmission to version 4.0.8 with previous version 4.0.7 dated 2025-12-22

Title: Regression Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Author: Oldemar Rodriguez [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg], Ariel Arroyo S. [ctb, prg], Joseline Quiros M. [ctb, prg], Alejandro Vargas V. [ctb, prg], Jennifer Lobo V. [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

This is a re-admission after prior archival of version 4.0.7 dated 2025-12-22

Diff between regressoR versions 4.0.7 dated 2025-12-22 and 4.0.8 dated 2026-03-04

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Package predictoR readmission to version 4.1.7 with previous version 4.1.6 dated 2025-12-22

Title: Predictive Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
Author: Oldemar Rodriguez [aut, cre], Diego Jimenez [ctb, prg], Andres Navarro [ctb, prg], Jennifer Lobo [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

This is a re-admission after prior archival of version 4.1.6 dated 2025-12-22

Diff between predictoR versions 4.1.6 dated 2025-12-22 and 4.1.7 dated 2026-03-04

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Package LocalControl updated to version 1.1.7 with previous version 1.1.4 dated 2024-09-04

Title: Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence
Description: Implements novel nonparametric approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in studies involving medicine and the life sciences, the package can be used in other situations involving outcomes with multiple confounders. The package implements a family of methods for non-parametric bias correction when comparing treatments in observational studies, including survival analysis settings, where competing risks and/or censoring may be present. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups. For further details, please see: Lauve NR, Nelson SJ, Young SS, Obenchain RL, Lambert CG. LocalControl: An R Package for Comparative Safety and Effectiveness Research. Journal of Statistical Software. 2020. p. 1–32. Available from <doi:10.18637/jss.v096.i04&g [...truncated...]
Author: Nicolas R. Lauve [aut] , Stuart J. Nelson [aut] , S. Stanley Young [aut] , Robert L. Obenchain [aut] , Melania Pintilie [ctb], Martin Kutz [ctb], Christophe G. Lambert [aut, cre]
Maintainer: Christophe G. Lambert <cglambert@salud.unm.edu>

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Package inflateR updated to version 0.1.3 with previous version 0.1.1 dated 2026-03-03

Title: Inflation Adjustment for Historical Currency Values
Description: Convert historical monetary values into their present-day equivalents using bundled CPI (Consumer Price Index) and GDP deflator data sourced from the World Bank Development Indicators. Supports British pounds (GBP), Australian dollars (AUD), US dollars (USD), Euro (EUR), Canadian dollars (CAD), Japanese yen (JPY), Chinese yuan (CNY), Swiss francs (CHF), New Zealand dollars (NZD), Indian rupees (INR), South Korean won (KRW), Brazilian reais (BRL), and Norwegian krone (NOK). Currency codes and country names are both accepted as input.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package alsi updated to version 0.2.0 with previous version 0.1.3 dated 2026-02-19

Title: Aggregated Latent Space Index for Binary, Ordinal, and Continuous Data
Description: Provides three stability-validated pipelines for computing an Aggregated Latent Space Index (ALSI): a binary MCA pipeline (alsi_workflow()), an ordinal pipeline using homals alternating least squares optimal scaling (alsi_workflow_ordinal()), and a continuous ipsatized SVD pipeline (calsi_workflow()). All three pipelines share a common bootstrap dual-criterion stability framework (principal angles and Tucker congruence phi) for determining the number of dimensions to retain before index construction. The package is designed to complement Segmented Profile Analysis (SEPA) and is intended for psychometric scale construction and dimensional reduction in survey and clinical research.
Author: Se-Kang Kim [aut, cre]
Maintainer: Se-Kang Kim <se-kang.kim@bcm.edu>

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Package swissparl updated to version 0.3.0 with previous version 0.2.2 dated 2021-11-02

Title: Interface to Swiss Parliament Web Services and the 'OpenParlData' API
Description: Provides machine-readable access to parliamentary data of the Swiss Federal Assembly via the 'OData' interface (<https://ws.parlament.ch/odata.svc/>) and the 'OpenParlData' REST API (<https://api.openparldata.ch>), which also offers harmonized data for selected cantonal and municipal parliaments.
Author: David Zumbach [aut, cre], Benjamin Gfoehler [ctb]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>

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Package MRAM updated to version 1.0.1 with previous version 1.0.0 dated 2026-01-07

Title: Multivariate Regression Association Measure
Description: Implementations of an estimator for the multivariate regression association measure (MRAM) proposed in Shih and Chen (2026) <doi:10.1016/j.csda.2025.108288> and its associated variable selection algorithm. The MRAM quantifies the predictability of a random vector Y from a random vector X given a random vector Z. It takes the maximum value 1 if and only if Y is almost surely a measurable function of X and Z, and the minimum value of 0 if Y is conditionally independent of X given Z. The MRAM generalizes the Kendall's tau copula correlation ratio proposed in Shih and Emura (2021) <doi:10.1016/j.jmva.2020.104708> by employing the spatial sign function. The estimator is based on the nearest neighbor method, and the associated variable selection algorithm is adapted from the feature ordering by conditional independence (FOCI) algorithm of Azadkia and Chatterjee (2021) <doi:10.1214/21-AOS2073>. For further details, see the paper Shih and Chen (2026) <doi:10.1016/j.csda.20 [...truncated...]
Author: Jia-Han Shih [aut, cre], Yi-Hau Chen [aut]
Maintainer: Jia-Han Shih <jhshih@math.nsysu.edu.tw>

Diff between MRAM versions 1.0.0 dated 2026-01-07 and 1.0.1 dated 2026-03-04

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Package vegan updated to version 2.7-3 with previous version 2.7-2 dated 2025-10-08

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 [a [...truncated...]
Maintainer: Jari Oksanen <jhoksane@gmail.com>

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Package tidysmd updated to version 0.2.1 with previous version 0.2.0 dated 2023-05-26

Title: Tidy Standardized Mean Differences
Description: Tidy standardized mean differences ('SMDs'). 'tidysmd' uses the 'smd' package to calculate standardized mean differences for variables in a data frame, returning the results in a tidy format.
Author: Malcolm Barrett [aut, cre]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>

Diff between tidysmd versions 0.2.0 dated 2023-05-26 and 0.2.1 dated 2026-03-04

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Package tidyCpp updated to version 0.0.9 with previous version 0.0.8 dated 2025-11-26

Title: Tidy C++ Header-Only Definitions for Parts of the C API of R
Description: Core parts of the C API of R are wrapped in a C++ namespace via a set of inline functions giving a tidier representation of the underlying data structures and functionality using a header-only implementation without additional dependencies.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package symengine updated to version 0.2.11 with previous version 0.2.10 dated 2025-04-04

Title: Interface to the 'SymEngine' Library
Description: Provides an R interface to 'SymEngine' <https://github.com/symengine/>, a standalone 'C++' library for fast symbolic manipulation. The package has functionalities for symbolic computation like calculating exact mathematical expressions, solving systems of linear equations and code generation.
Author: Jialin Ma [cre, aut], Isuru Fernando [aut], Xin Chen [aut]
Maintainer: Jialin Ma <marlin@inventati.org>

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Package shapley updated to version 0.7.0 with previous version 0.6.0 dated 2026-02-13

Title: Weighted Mean SHAP and CI for Robust Feature Assessment in ML Grid
Description: This R package introduces Weighted Mean SHapley Additive exPlanations (WMSHAP), an innovative method for calculating SHAP values for a grid of fine-tuned base-learner machine learning models as well as stacked ensembles, a method not previously available due to the common reliance on single best-performing models. By integrating the weighted mean SHAP values from individual base-learners comprising the ensemble or individual base-learners in a tuning grid search, the package weights SHAP contributions according to each model's performance, assessed by multiple either R squared (for both regression and classification models). alternatively, this software also offers weighting SHAP values based on the area under the precision-recall curve (AUCPR), the area under the curve (AUC), and F2 measures for binary classifiers. It further extends this framework to implement weighted confidence intervals for weighted mean SHAP values, offering a more comprehensive and robust feature importance eval [...truncated...]
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@hotmail.com>

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Package grf updated to version 2.6.1 with previous version 2.6.0 dated 2026-03-03

Title: Generalized Random Forests
Description: Forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression, and survival regression, all with support for missing covariates.
Author: Julie Tibshirani [aut], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [aut, cre], Stefan Wager [aut], Marvin Wright [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>

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Package geographiclib updated to version 0.4.2 with previous version 0.4.1 dated 2026-02-27

Title: Access to 'GeographicLib'
Description: Bindings to the 'GeographicLib' C++ library <https://geographiclib.sourceforge.io/> for precise geodetic calculations including geodesic computations (distance, bearing, paths, intersections), map projections (UTM/UPS, Transverse Mercator, Lambert Conformal Conic, and more), grid reference systems (MGRS, Geohash, GARS, Georef), coordinate conversions (geocentric, local Cartesian), and polygon area on the WGS84 ellipsoid. All functions are fully vectorized.
Author: Michael Sumner [cre, aut], Charles Karney [cph, aut] , Mark Borgerding [cph] )
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Package forestplot updated to version 3.2.0 with previous version 3.1.7 dated 2025-06-12

Title: Advanced Forest Plot Using 'grid' Graphics
Description: Allows the creation of forest plots with advanced features, such as multiple confidence intervals per row, customizable fonts for individual text elements, and flexible confidence interval drawing. It also supports mixing text with mathematical expressions. The package extends the application of forest plots beyond traditional meta-analyses, offering a more general version of the original 'rmeta' package’s forestplot() function. It relies heavily on the 'grid' package for rendering the plots.
Author: Max Gordon [aut, cre], Thomas Lumley [aut, ctb]
Maintainer: Max Gordon <max@gforge.se>

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Package DiscreteDatasets updated to version 0.2.0 with previous version 0.1.2 dated 2025-01-24

Title: Example Data Sets for Use with Discrete Statistical Tests
Description: Provides several data sets for use with discrete statistical tests and discrete multiple testing procedures.
Author: Christina Kihn [aut], Sebastian Doehler [aut] , Florian Junge [aut, cre] , Lukas Klein [ctb] , Iqraa Meah [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

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Package coda.base updated to version 1.0.5 with previous version 1.0.3 dated 2025-07-02

Title: A Basic Set of Functions for Compositional Data Analysis
Description: A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982). Main functions have been implemented in c++ for better performance.
Author: Marc Comas-Cufi [aut, cre]
Maintainer: Marc Comas-Cufi <mcomas@imae.udg.edu>

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Package arcgisutils updated to version 0.5.0 with previous version 0.4.0 dated 2025-09-18

Title: R-ArcGIS Bridge Utility Functions
Description: Developer oriented utility functions designed to be used as the building blocks of R packages that work with ArcGIS Location Services. It provides functionality for authorization, Esri JSON construction and parsing, as well as other utilities pertaining to geometry and Esri type conversions. To support 'ArcGIS Pro' users, authorization can be done via 'arcgisbinding'. Installation instructions for 'arcgisbinding' can be found at <https://developers.arcgis.com/r-bridge/installation/>.
Author: Josiah Parry [aut, cre] , Kenneth Vernon [ctb] , Martha Bass [ctb] , Eli Pousson [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Package arcgislayers updated to version 0.6.0 with previous version 0.5.2 dated 2025-10-28

Title: Harness ArcGIS Data Services
Description: Enables users of 'ArcGIS Enterprise', 'ArcGIS Online', or 'ArcGIS Platform' to read, write, publish, or manage vector and raster data via ArcGIS location services REST API endpoints <https://developers.arcgis.com/rest/>.
Author: Josiah Parry [aut, cre] , Eli Pousson [ctb] , Kenneth Vernon [ctb] , Martha Bass [ctb] , Antony Barja [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Tue, 03 Mar 2026

Package OPI updated to version 3.1.0 with previous version 3.0.6 dated 2026-01-14

Title: Open Perimetry Interface
Description: Implementation of the Open Perimetry Interface (OPI) for simulating and controlling visual field machines using R. The OPI is a standard for interfacing with visual field testing machines (perimeters) first started as an open source project with support of Haag-Streit in 2010. It specifies basic functions that allow many visual field tests to be constructed. As of February 2022 it is fully implemented on the Haag-Streit Octopus 900 and 'CrewT ImoVifa' ('Topcon Tempo') with partial implementations on the Centervue Compass, Kowa AP 7000 and Android phones. It also has a cousin: the R package 'visualFields', which has tools for analysing and manipulating visual field data.
Author: Andrew Turpin [cre, aut, cph] , David Lawson [ctb, cph], Ivan Marin-Franch [ctb, cph], Matthias Muller [ctb], Jonathan Denniss [ctb, cph], Astrid Zeman [ctb], Giovanni Montesano [ctb]
Maintainer: Andrew Turpin <andrew.turpin@lei.org.au>

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Package VancouvR updated to version 0.1.9 with previous version 0.1.8 dated 2024-04-18

Title: Access the 'City of Vancouver' Open Data API
Description: Wrapper around the 'City of Vancouver' Open Data API <https://opendata.vancouver.ca/api/v2/console> to simplify and standardize access to 'City of Vancouver' open data. Functionality to list the data catalogue and access data and geographic records.
Author: Jens von Bergmann [aut, cre]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package cpam updated to version 0.2.0 with previous version 0.1.3 dated 2025-03-13

Title: Changepoint Additive Models for Time Series Omics Data
Description: Provides a comprehensive framework for time series omics analysis, integrating changepoint detection, smooth and shape-constrained trends, and uncertainty quantification. It supports gene- and transcript-level inferences, p-value aggregation for improved power, and both case-only and case-control designs. It includes an interactive 'shiny' interface. The methods are described in Yates et al. (2024) <doi:10.1101/2024.12.22.630003>.
Author: Luke Yates [aut, cre, cph] , Michael Charleston [aut], Jazmine Humphreys [aut], Steven Smith [aut]
Maintainer: Luke Yates <luke.yates@utas.edu.au>

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Package rapr updated to version 1.1.3 with previous version 1.1.2 dated 2026-01-30

Title: Interface to 'Rangeland Analysis Platform' (RAP) Products
Description: Provides access to 'Rangeland Analysis Platform' (RAP) products <https://rangelands.app/products> for arbitrary extents via 'GDAL' virtual file system.
Author: Andrew Brown [aut, cre] , Georgia Harrison [ctb] , Scott Appleby [ctb]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

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Package whep updated to version 0.3.0 with previous version 0.2.0 dated 2025-10-15

Title: Processing Agro-Environmental Data
Description: A set of tools for processing and analyzing data developed in the context of the "Who Has Eaten the Planet" (WHEP) project, funded by the European Research Council (ERC). For more details on multi-regional input–output model "Food and Agriculture Biomass Input–Output" (FABIO) see Bruckner et al. (2019) <doi:10.1021/acs.est.9b03554>.
Author: Catalin Covaci [aut, cre] , Eduardo Aguilera [aut, cph] , Alice Beckmann [aut] , Juan Infante [aut] , Justin Morgan [aut] , Joao Serra [ctb] , European Research Council [fnd]
Maintainer: Catalin Covaci <catalin.covaci@csic.es>

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Package MicrobiomeStat updated to version 1.4 with previous version 1.3 dated 2026-01-08

Title: Statistical Methods for Microbiome Compositional Data
Description: A suite of methods for powerful and robust microbiome data analysis addressing zero-inflation, phylogenetic structure and compositional effects. Includes the LinDA method for differential abundance analysis (Zhou et al. (2022)<doi:10.1186/s13059-022-02655-5>), the BMDD (Bimodal Dirichlet Distribution) method for accurate modeling and imputation of zero-inflated microbiome sequencing data (Zhou et al. (2025)<doi:10.1371/journal.pcbi.1013124>) and compositional sparse CCA methods for microbiome multi-omics data integration (Deng et al. (2024) <doi: 10.3389/fgene.2024.1489694>).
Author: Xianyang Zhang [aut], Jun Chen [aut, cre], Huijuan Zhou [ctb], Linsui Deng [ctb]
Maintainer: Jun Chen <chen.jun2@mayo.edu>

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Package lucid updated to version 1.11 with previous version 1.9 dated 2025-04-03

Title: Printing Floating Point Numbers in a Human-Friendly Format
Description: Print vectors (and data frames) of floating point numbers using a non-scientific format optimized for human readers. Vectors of numbers are rounded using significant digits, aligned at the decimal point, and all zeros trailing the decimal point are dropped. See: Wright (2016). Lucid: An R Package for Pretty-Printing Floating Point Numbers. In JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association. 2270-2279.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package interpret readmission to version 0.1.35 with previous version 0.1.34 dated 2024-11-28

Title: Fit Interpretable Machine Learning Models
Description: Package for training interpretable machine learning models. Historically, the most interpretable machine learning models were not very accurate, and the most accurate models were not very interpretable. Microsoft Research has developed an algorithm called the Explainable Boosting Machine (EBM) which has both high accuracy and interpretable characteristics. EBM uses machine learning techniques like bagging and boosting to breathe new life into traditional GAMs (Generalized Additive Models). This makes them as accurate as random forests and gradient boosted trees, and also enhances their intelligibility and editability. Details on the EBM algorithm can be found in the paper by Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, and Noemie Elhadad (2015, <doi:10.1145/2783258.2788613>).
Author: Samuel Jenkins [aut], Harsha Nori [aut], Paul Koch [aut], Rich Caruana [aut, cre], The InterpretML Contributors [cph]
Maintainer: Rich Caruana <interpretml@outlook.com>

This is a re-admission after prior archival of version 0.1.34 dated 2024-11-28

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Package NPCDTools updated to version 1.1.0 with previous version 1.0 dated 2024-09-23

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 maxRgain updated to version 1.1.0 with previous version 1.0.2 dated 2025-08-18

Title: Maximizing Polyclonal Selection Gains Using Integer Programming
Description: Implements an Integer Programming-based method for optimising genetic gain in polyclonal selection, where the goal is to select a group of genotypes that jointly meet multi-trait selection criteria. The method uses predictors of genotypic effects obtained from the fitting of mixed models. Its application is demonstrated with grapevine data, but is applicable to other species and breeding contexts. For more details see Surgy et al. (2025) <doi:10.1007/s00122-025-04885-0>.
Author: Sonia Surgy [aut, cre], Jorge Cadima [aut], Elsa Goncalves [aut]
Maintainer: Sonia Surgy <soniasurgy@isa.ulisboa.pt>

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Package sooty updated to version 0.6.0 with previous version 0.5.0 dated 2025-05-22

Title: Data Source Catalogues Online for Southern Ocean Ecosystem Research
Description: Obtains lists of files of remote sensing collections for Southern Ocean surface properties. Commonly used data sources of sea surface temperature, sea ice concentration, and altimetry products such as sea surface height and sea surface currents are cached in object storage on the Pawsey Supercomputing Research Centre facility. Patterns of working to retrieve data from these object storage catalogues are described. The catalogues include complete collections of datasets Reynolds et al. (2008) "NOAA Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1" <doi:10.7289/V5SQ8XB5>, Spreen et al. (2008) "Artist Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) sea ice concentration" <doi:10.1029/2005JC003384>. In future releases helpers will be added to identify particular data collections and target specific dates for earth observation data for reading, as well as helpers to retrieve data set citation and provenance details. This wor [...truncated...]
Author: Michael D. Sumner [aut, cre], Aleks Terauds [cph, ctb] ')
Maintainer: Michael D. Sumner <michael.sumner@aad.gov.au>

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Package rCISSVAE updated to version 0.0.5 with previous version 0.0.4 dated 2026-01-23

Title: Clustering-Informed Shared-Structure VAE for Imputation
Description: Implements the Clustering-Informed Shared-Structure Variational Autoencoder ('CISS-VAE'), a deep learning framework for missing data imputation introduced in Khadem Charvadeh et al. (2025) <doi:10.1002/sim.70335>. The model accommodates all three types of missing data mechanisms: Missing Completely At Random (MCAR), Missing At Random (MAR), and Missing Not At Random (MNAR). While it is particularly well-suited to MNAR scenarios, where missingness patterns carry informative signals, 'CISS-VAE' also functions effectively under MAR assumptions.
Author: Yasin Khadem Charvadeh [aut], Kenneth Seier [aut], Katherine S. Panageas [aut], Danielle Vaithilingam [aut, cre], Mithat Goenen [aut], Yuan Chen [aut]
Maintainer: Danielle Vaithilingam <vaithid1@mskcc.org>

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Package pintervals updated to version 1.1.1 with previous version 1.0.1 dated 2026-01-11

Title: Model Agnostic Prediction Intervals
Description: Provides tools for estimating model-agnostic prediction intervals using conformal prediction, bootstrapping, and parametric prediction intervals. The package is designed for ease of use, offering intuitive functions for both binned and full conformal prediction methods, as well as parametric interval estimation with diagnostic checks. Currently only working for continuous predictions. For details on the conformal and bin-conditional conformal prediction methods, see Randahl, Williams, and Hegre (2026) <DOI:10.1017/pan.2025.10010>.
Author: David Randahl [aut, cre], Jonathan P. Williams [ctb], Anders Hjort [ctb]
Maintainer: David Randahl <david.randahl@pcr.uu.se>

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Package booami updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-19

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

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Package EpiSignalDetection updated to version 0.1.3 with previous version 0.1.2 dated 2021-11-30

Title: Signal Detection Analysis
Description: Exploring time series for signal detection. It is specifically designed to detect possible outbreaks using infectious disease surveillance data at the European Union / European Economic Area or country level. Automatic detection tools used are presented in the paper "Monitoring count time series in R: aberration detection in public health surveillance", by Salmon (2016) <doi:10.18637/jss.v070.i10>. The package includes: - Signal Detection tool, an interactive 'shiny' application in which the user can import external data and perform basic signal detection analyses; - An automated report in HTML format, presenting the results of the time series analysis in tables and graphs. This report can also be stratified by population characteristics (see 'Population' variable). This project was funded by the European Centre for Disease Prevention and Control.
Author: Lore Merdrignac [aut, ctr, cre] , Joana Gomes Dias [aut, fnd] , Esther Kissling [aut, ctr], Tommi Karki [aut, fnd], Margot Einoder-Moreno [ctb, fnd]
Maintainer: Lore Merdrignac <l.merdrignac@epiconcept.fr>

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Package colorfindr updated to version 0.1.6 with previous version 0.1.5 dated 2025-04-29

Title: Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format Images
Description: Extracts colors from various image types, returns customized reports and plots treemaps and 3D scatterplots of image compositions. Color palettes can also be created.
Author: David Zumbach [aut, cre]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>

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Package CohortGenerator updated to version 1.1.0 with previous version 1.0.2 dated 2026-02-10

Title: Cohort Generation for the OMOP Common Data Model
Description: Generate cohorts and subsets using an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) Database. Cohorts are defined using 'CIRCE' (<https://github.com/ohdsi/circe-be>) or SQL compatible with 'SqlRender' (<https://github.com/OHDSI/SqlRender>).
Author: Anthony Sena [aut, cre], Jamie Gilbert [aut], Gowtham Rao [aut], Freddy Avila Cruz [aut], Martijn Schuemie [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Anthony Sena <sena@ohdsi.org>

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Package bistablehistory updated to version 1.1.4 with previous version 1.1.3 dated 2025-10-11

Title: Cumulative History Analysis for Bistable Perception Time Series
Description: Estimates cumulative history for time-series for continuously viewed bistable perceptual rivalry displays. Computes cumulative history via a homogeneous first order differential process. I.e., it assumes exponential growth/decay of the history as a function time and perceptually dominant state, Pastukhov & Braun (2011) <doi:10.1167/11.10.12>. Supports Gamma, log normal, and normal distribution families. Provides a method to compute history directly and example of using the computation on a custom Stan code.
Author: Alexander Pastukhov [aut, cre]
Maintainer: Alexander Pastukhov <pastukhov.alexander@gmail.com>

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Package basksim updated to version 2.1.0 with previous version 2.0.2 dated 2026-02-20

Title: Simulation-Based Calculation of Basket Trial Operating Characteristics
Description: Provides a unified syntax for the simulation-based comparison of different single-stage basket trial designs with a binary endpoint and equal sample sizes in all baskets. Methods include the designs by Baumann et al. (2025) <doi:10.1080/19466315.2024.2402275>, Schmitt and Baumann (2025) <doi:10.1080/19466315.2025.2486231>, Fujikawa et al. (2020) <doi:10.1002/bimj.201800404>, Berry et al. (2020) <doi:10.1177/1740774513497539>, and Neuenschwander et al. (2016) <doi:10.1002/pst.1730>. For the latter two designs, the functions are mostly wrappers for functions provided by the package 'bhmbasket'.
Author: Lukas Baumann [aut, cre] , Lukas D Sauer [aut] , Sabrina Schmitt [aut]
Maintainer: Lukas Baumann <baumann@imbi.uni-heidelberg.de>

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Package CCI updated to version 0.3.6.1 with previous version 0.3.6 dated 2026-01-21

Title: Computational Test for Conditional Independence
Description: Tool for performing computational testing for conditional independence between variables in a dataset. 'CCI' implements permutation in combination with Monte Carlo Cross-Validation in generating null distributions and test statistics. For more details see Computational Test for Conditional Independence (2024) <doi:10.3390/a17080323>.
Author: Christian Thorjussen [aut, cre] , Kristian Hovde Liland [aut]
Maintainer: Christian Thorjussen <christianbern@gmail.com>

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Package ganttify updated to version 0.2.5 with previous version 0.2.2 dated 2026-02-25

Title: Create Interactive Gantt Charts with Work Breakdown Structure
Description: Create Primavera-style interactive Gantt charts with Work Breakdown Structure (WBS) hierarchy and activities. Features include color-coded WBS items, indented labels, scrollable views for large projects, dynamic date formatting, and the ability to dim past activities. Built on top of 'plotly' for interactive visualizations.
Author: Ahmed Aredah [aut, cre]
Maintainer: Ahmed Aredah <Ahmed.Aredah@gmail.com>

Diff between ganttify versions 0.2.2 dated 2026-02-25 and 0.2.5 dated 2026-03-03

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Package factoextra updated to version 2.0.0 with previous version 1.0.7 dated 2020-04-01

Title: Extract and Visualize the Results of Multivariate Data Analyses
Description: Provides easy-to-use functions to extract and visualize the output of multivariate data analyses, including 'PCA' (Principal Component Analysis), 'CA' (Correspondence Analysis), 'MCA' (Multiple Correspondence Analysis), 'FAMD' (Factor Analysis of Mixed Data), 'MFA' (Multiple Factor Analysis), and 'HMFA' (Hierarchical Multiple Factor Analysis) from different R packages. It also includes helpers for simplifying clustering analysis workflows and provides 'ggplot2'-based data visualization.
Author: Alboukadel Kassambara [aut, cre] , Fabian Mundt [aut], Laszlo Erdey [ctb]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between factoextra versions 1.0.7 dated 2020-04-01 and 2.0.0 dated 2026-03-03

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Package couplr updated to version 1.1.0 with previous version 1.0.8 dated 2026-01-21

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package dropR updated to version 1.0.6 with previous version 1.0.3 dated 2024-07-03

Title: Dropout Analysis by Condition
Description: Analysis and visualization of dropout between conditions in surveys and (online) experiments. Features include computation of dropout statistics, comparing dropout between conditions (e.g. Chi squared), analyzing survival (e.g. Kaplan-Meier estimation), comparing conditions with the most different rates of dropout (Kolmogorov-Smirnov) and visualizing the result of each in designated plotting functions. Article published in _Behavior Research Methods_ on 'dropR' by the authors: Dropout analysis: A method for data from Internet-based research and 'dropR', an R-based web app and package to analyze and visualize dropout. (2025) <doi:10.3758/s13428-025-02730-2>. Sources: Andrea Frick, Marie-Terese Baechtiger & Ulf-Dietrich Reips (2001) <doi:10.5167/uzh-19758>; Ulf-Dietrich Reips (2002) <doi:10.1026//1618-3169.49.4.243>.
Author: Annika Tave Overlander [aut, cre] , Matthias Bannert [aut], Ulf-Dietrich Reips [aut]
Maintainer: Annika Tave Overlander <annika-tave.overlander@uni.kn>

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Package VizTest updated to version 0.7 with previous version 0.6 dated 2025-12-04

Title: Optimal Confidence Intervals for Visual Testing
Description: Identifies the optimal confidence level to represent the results of a set of pairwise tests as suggested by Armstrong and Poirier (2025) <doi:10.1017/pan.2024.24>.
Author: Dave Armstrong [aut, cre] , William Poirier [aut]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>

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Package textometry updated to version 0.1.7 with previous version 0.1.6 dated 2022-05-17

Title: Textual Data Analysis Package Used by the TXM Software
Description: Statistical exploration of textual corpora using several methods from French 'Textometrie' (new name of 'Lexicometrie') and French 'Data Analysis' schools. It includes methods for exploring irregularity of distribution of lexicon features across text sets or parts of texts (Specificity analysis); multi-dimensional exploration (Factorial analysis), etc. Those methods are used in the TXM software.
Author: Sylvain Loiseau [aut], Matthieu Decorde [aut, cre], Serge Heiden [aut], Lise Vaudor [aut]
Maintainer: Matthieu Decorde <matthieu.decorde@ens-lyon.fr>

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Package matrixCorr updated to version 0.8.4 with previous version 0.8.3 dated 2025-12-22

Title: Collection of Correlation and Association Estimators
Description: Compute correlation and other association matrices from small to high-dimensional datasets with relative simple functions and sensible defaults. Includes options for shrinkage and robustness to improve results in noisy or high-dimensional settings (p >= n), plus convenient print/plot methods for inspection. Implemented with optimised C++ backends using BLAS/OpenMP and memory-aware symmetric updates. Works with base matrices and data frames, returning standard R objects via a consistent S3 interface. Useful across genomics, agriculture, and machine-learning workflows. Supports Pearson, Spearman, Kendall, distance correlation, partial correlation, and robust biweight mid-correlation; Bland–Altman analyses and Lin's concordance correlation coefficient (including repeated-measures extensions). Methods based on Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>; Schäfer and Strimmer (2005) <doi:10.2202/1544-6115.1175>; Lin (1989) <doi:10.2307/2532051>.
Author: Thiago de Paula Oliveira [aut, cre]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@gmail.com>

Diff between matrixCorr versions 0.8.3 dated 2025-12-22 and 0.8.4 dated 2026-03-03

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Package calcite updated to version 1.0.0 with previous version 0.1.1 dated 2025-12-03

Title: Bindings to the Calcite Design System 'JavaScript' Component Library
Description: Provides access to the 'Calcite Design System' 'javascript' components via integration with the 'htmltools' and 'shiny' packages. Pre-built and interactive components can be used to generate either static html or interactive web applications. Learn more about the 'Calcite Design System' at <https://developers.arcgis.com/calcite-design-system/>.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Package traineR readmission to version 2.2.12 with previous version 2.2.11 dated 2026-01-27

Title: Predictive (Classification and Regression) Models Homologator
Description: Methods to unify the different ways of creating predictive models and their different predictive formats for classification and regression. It includes methods such as K-Nearest Neighbors Schliep, K. P. (2004) <doi:10.5282/ubm/epub.1769>, Decision Trees Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (2017) <doi:10.1201/9781315139470>, ADA Boosting Esteban Alfaro, Matias Gamez, Noelia García (2013) <doi:10.18637/jss.v054.i02>, Extreme Gradient Boosting Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>, Random Forest Breiman (2001) <doi:10.1023/A:1010933404324>, Neural Networks Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Support Vector Machines Bennett, K. P. & Campbell, C. (2000) <doi:10.1145/380995.380999>, Bayesian Methods Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995) <doi:10.1201/9780429258411>, Linear Discriminant Analysis Venables, W. N., & Ripley, B. [...truncated...]
Author: Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [aut], Ariel Arroyo S. [aut], Diego Jimenez A. [aut], Jennifer Lobo V. [aut]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>

This is a re-admission after prior archival of version 2.2.11 dated 2026-01-27

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Package rcdf readmission to version 0.1.4 with previous version 0.1.3 dated 2026-02-12

Title: A Comprehensive Toolkit for Working with Encrypted Parquet Files
Description: Utilities for reading, writing, and managing RCDF files, including encryption and decryption support. It offers a flexible interface for handling data stored in encrypted Parquet format, along with metadata extraction, key management, and secure operations using AES and RSA encryptions.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>

This is a re-admission after prior archival of version 0.1.3 dated 2026-02-12

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Package phers readmission to version 1.0.5 with previous version 1.0.2 dated 2023-03-26

Title: Calculate Phenotype Risk Scores
Description: Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and rare genetic variants. See Bastarache et al. 2018 <doi:10.1126/science.aal4043>.
Author: Jake Hughey [aut, cre], Layla Aref [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>

This is a re-admission after prior archival of version 1.0.2 dated 2023-03-26

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Package mgwrsar updated to version 1.3.2 with previous version 1.3.1 dated 2026-01-21

Title: GWR, Mixed GWR with Spatial Autocorrelation and Multiscale GWR/GTWR (Top-Down Scale Approaches)
Description: Provides methods for Geographically Weighted Regression with spatial autocorrelation (Geniaux and Martinetti 2017) <doi:10.1016/j.regsciurbeco.2017.04.001>. Implements Multiscale Geographically Weighted Regression with Top-Down Scale approaches (Geniaux 2026) <doi:10.1007/s10109-025-00481-4>.
Author: Ghislain Geniaux [aut, cre], Davide Martinetti [aut], Cesar Martinez [aut]
Maintainer: Ghislain Geniaux <ghislain.geniaux@inrae.fr>

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Package ldmppr updated to version 1.1.3 with previous version 1.1.2 dated 2026-03-01

Title: Estimate and Simulate from Location Dependent Marked Point Processes
Description: A suite of tools for estimating, assessing model fit, simulating from, and visualizing location dependent marked point processes characterized by regularity in the pattern. You provide a reference marked point process, a set of raster images containing location specific covariates, and select the estimation algorithm and type of mark model. 'ldmppr' estimates the process and mark models and allows you to check the appropriateness of the model using a variety of diagnostic tools. Once a satisfactory model fit is obtained, you can simulate from the model and visualize the results. Documentation for the package 'ldmppr' is available in the form of a vignette.
Author: Lane Drew [aut, cre, cph] , Andee Kaplan [aut]
Maintainer: Lane Drew <lanetdrew@gmail.com>

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Package flashClust updated to version 1.1-4 with previous version 1.01-2 dated 2012-08-21

Title: Implementation of Fast Hierarchical Clustering
Description: A fast implementation of hierarchical clustering that incorporates original code from Fionn Murtagh.
Author: Fionn Murtagh [aut], R development team [aut], Peter Langfelder [com, cre]
Maintainer: Peter Langfelder <Peter.Langfelder@gmail.com>

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Package DDRTree updated to version 0.1.6 with previous version 0.1.5 dated 2017-04-30

Title: Learning Principal Graphs with DDRTree
Description: Provides an implementation of the framework of reversed graph embedding (RGE) which projects data into a reduced dimensional space while constructs a principal tree which passes through the middle of the data simultaneously. DDRTree shows superiority to alternatives (Wishbone, DPT) for inferring the ordering as well as the intrinsic structure of the single cell genomics data. In general, it could be used to reconstruct the temporal progression as well as bifurcation structure of any datatype.
Author: Xiaojie Qiu [aut], Cole Trapnell [aut], Qi Mao [aut], Li Wang [aut], Brent Ewing [cre]
Maintainer: Brent Ewing <bge@uw.edu>

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Package CodeDepends readmission to version 0.6.7 with previous version 0.6.6 dated 2024-04-07

Title: Analysis of R Code for Reproducible Research and Code Comprehension
Description: Tools for analyzing R expressions or blocks of code and determining the dependencies between them. It focuses on R scripts, but can be used on the bodies of functions. There are many facilities including the ability to summarize or get a high-level view of code, determining dependencies between variables, code improvement suggestions.
Author: Duncan Temple Lang [aut], Roger Peng [aut], Deborah Nolan [aut], Gabriel Becker [aut, cre]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

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Package codebook updated to version 0.10.1 with previous version 0.10.0 dated 2026-02-26

Title: Automatic Codebooks from Metadata Encoded in Dataset Attributes
Description: Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>

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Package clustord updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-01

Title: Cluster Ordinal Data via Proportional Odds or Ordered Stereotype
Description: Biclustering, row clustering and column clustering using the proportional odds model (POM), ordered stereotype model (OSM) or binary model for ordinal categorical data. Fernández, D., Arnold, R., Pledger, S., Liu, I., & Costilla, R. (2019) <doi:10.1007/s11634-018-0324-3>.
Author: Louise McMillan [aut, cre, cph] , Daniel Fernandez Martinez [aut] , Ying Cui [aut], Eleni Matechou [aut] , W. N. Venables [ctb, cph] , B. D. Ripley [ctb, cph]
Maintainer: Louise McMillan <louise.mcmillan@vuw.ac.nz>

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Package biometrics updated to version 1.0.3 with previous version 1.0.2 dated 2025-08-20

Title: A Package for Biometrics and Modelling
Description: A system of functions and datasets to carry out quantitative analyses in the biological sciences. The package facilitates data management, exploratory analyses, and model assessment. Although it currently focuses on forest ecology, silviculture and decision-making, most of the package functions are applicable across several disciplines, including economics, environmental science, and healthcare.
Author: Christian Salas-Eljatib [aut, cre] , Nicolas Campos [ctb] , Marcos Marivil [ctb]
Maintainer: Christian Salas-Eljatib <cseljatib@gmail.com>

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Package beezdemand updated to version 0.2.0 with previous version 0.1.2 dated 2023-08-26

Title: Behavioral Economic Easy Demand
Description: Facilitates many of the analyses performed in studies of behavioral economic demand. The package supports commonly-used options for modeling operant demand including (1) data screening proposed by Stein, Koffarnus, Snider, Quisenberry, & Bickel (2015; <doi:10.1037/pha0000020>), (2) fitting models of demand such as linear (Hursh, Raslear, Bauman, & Black, 1989, <doi:10.1007/978-94-009-2470-3_22>), exponential (Hursh & Silberberg, 2008, <doi:10.1037/0033-295X.115.1.186>) and modified exponential (Koffarnus, Franck, Stein, & Bickel, 2015, <doi:10.1037/pha0000045>), and (3) calculating numerous measures relevant to applied behavioral economists (Intensity, Pmax, Omax). Also supports plotting and comparing data.
Author: Brent Kaplan [aut, cre, cph] , Shawn Gilroy [ctb]
Maintainer: Brent Kaplan <bkaplan.ku@gmail.com>

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Package grf updated to version 2.6.0 with previous version 2.5.0 dated 2025-10-09

Title: Generalized Random Forests
Description: Forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression, and survival regression, all with support for missing covariates.
Author: Julie Tibshirani [aut], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [aut, cre], Stefan Wager [aut], Marvin Wright [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>

Diff between grf versions 2.5.0 dated 2025-10-09 and 2.6.0 dated 2026-03-03

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Package CCAMLRGIS updated to version 4.3.1 with previous version 4.2.1 dated 2025-02-16

Title: Antarctic Spatial Data Manipulation
Description: Loads and creates spatial data, including layers and tools that are relevant to the activities of the Commission for the Conservation of Antarctic Marine Living Resources. Provides two categories of functions: load functions and create functions. Load functions are used to import existing spatial layers from the online CCAMLR GIS such as the ASD boundaries. Create functions are used to create layers from user data such as polygons and grids.
Author: Stephane Thanassekos [aut, cre], Keith Reid [aut], Lucy Robinson [aut], Michael D. Sumner [ctb], Roger Bivand [ctb]
Maintainer: Stephane Thanassekos <stephane.thanassekos@ccamlr.org>

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Package kindling updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-04

Title: Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks
Description: Provides a higher-level interface to the 'torch' package for defining, training, and fine-tuning neural networks, including its depth, powered by code generation. This package supports few to several architectures, including feedforward (multi-layer perceptron) and recurrent neural networks (Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU)), while also reduces boilerplate 'torch' code while enabling seamless integration with 'torch'. The model methods to train neural networks from this package also bridges to titanic ML frameworks in R, namely 'tidymodels' ecosystem, which enables the 'parsnip' model specifications, workflows, recipes, and tuning tools.
Author: Joshua Marie [aut, cre], Antoine Soetewey [aut]
Maintainer: Joshua Marie <joshua.marie.k@gmail.com>

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Mon, 02 Mar 2026

Package optree updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-16

Title: Hierarchical Runtime Configuration Management
Description: Provides tools for managing nested, multi-level configuration systems with runtime mutability, type validation, and default value management. Supports creating hierarchical options managers with customizable validators for scalar and vector types (numeric, character, logical), enumerated values, bounded ranges, and complex structures like XY pairs. Options can be dynamically modified at runtime while maintaining type safety through validator functions, and easily reset to their default values when needed.
Author: Bangou Zheng [aut, cre]
Maintainer: Bangou Zheng <zheng.bangyou@gmail.com>

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Package lingtypology updated to version 1.1.25 with previous version 1.1.24 dated 2025-09-28

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <https://glottolog.org/> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <https://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://docs.ropensci.org/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and some others and to create your own database website.
Author: George Moroz [aut, cre] , Kirill Koncha [ctb] , Mikhail Leonov [ctb], Anna Smirnova [ctb], Ekaterina Zalivina [ctb]
Maintainer: George Moroz <agricolamz@gmail.com>

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Package actuar updated to version 3.3-7 with previous version 3.3-6 dated 2025-07-08

Title: Actuarial Functions and Heavy Tailed Distributions
Description: Functions and data sets for actuarial science: modeling of loss distributions; risk theory and ruin theory; simulation of compound models, discrete mixtures and compound hierarchical models; credibility theory. Support for many additional probability distributions to model insurance loss size and frequency: 23 continuous heavy tailed distributions; the Poisson-inverse Gaussian discrete distribution; zero-truncated and zero-modified extensions of the standard discrete distributions. Support for phase-type distributions commonly used to compute ruin probabilities. Main reference: <doi:10.18637/jss.v025.i07>. Implementation of the Feller-Pareto family of distributions: <doi:10.18637/jss.v103.i06>.
Author: Vincent Goulet [cre, aut] , Sebastien Auclair [ctb], Jeremy Deraspe [ctb], Christophe Dutang [aut] , Walter Garcia-Fontes [ctb], Nicholas Langevin [ctb], Xavier Milhaud [ctb], Tommy Ouellet [ctb], Alexandre Parent [ctb], Mathieu Pigeon [aut], Louis-P [...truncated...]
Maintainer: Vincent Goulet <vincent.goulet@act.ulaval.ca>

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Package connectcreds updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-31

Title: Manage 'OAuth' Credentials from 'Posit Connect'
Description: A toolkit for making use of credentials mediated by 'Posit Connect'. It handles the details of communicating with the Connect API correctly, 'OAuth' token caching, and refresh behaviour.
Author: Aaron Jacobs [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Aaron Jacobs <aaron.jacobs@posit.co>

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Package undidR updated to version 3.0.2 with previous version 3.0.1 dated 2026-02-16

Title: Difference-in-Differences with Unpoolable Data
Description: A framework for estimating difference-in-differences with unpoolable data, based on Karim, Webb, Austin, and Strumpf (2025) <doi:10.48550/arXiv.2403.15910>. Supports common or staggered adoption, multiple groups, and the inclusion of covariates. Also computes p-values for the aggregate average treatment effect on the treated via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.
Author: Eric Jamieson [aut, cre, cph]
Maintainer: Eric Jamieson <ericbrucejamieson@gmail.com>

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Package RMSS updated to version 1.2.4 with previous version 1.2.3 dated 2025-12-17

Title: Robust Multi-Model Subset Selection
Description: Efficient algorithms for generating ensembles of robust, sparse and diverse models via robust multi-model subset selection (RMSS). The robust ensembles are generated by minimizing the sum of the least trimmed square loss of the models in the ensembles under constraints for the size of the models and the sharing of the predictors. Tuning parameters for the robustness, sparsity and diversity of the robust ensemble are selected by cross-validation.
Author: Anthony Christidis [aut, cre], Gabriela Cohen-Freue [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package rjwsacruncher updated to version 0.2.3 with previous version 0.2.2 dated 2025-07-18

Title: Interface to the 'JWSACruncher' of 'JDemetra+'
Description: 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>) is the seasonal adjustment software officially recommended to the members of the European Statistical System and the European System of Central Banks. Seasonal adjustment models performed with 'JDemetra+' can be stored into workspaces. 'JWSACruncher' (<https://github.com/jdemetra/jwsacruncher/releases> for v2 and <https://github.com/jdemetra/jdplus-main/releases> for v3) is a console tool that re-estimates all the multi-processing defined in a workspace and to export the result. 'rjwsacruncher' allows to launch easily the 'JWSACruncher'.
Author: Alain Quartier-la-Tente [aut, cre] , Institut national de la statistique et des etudes economiques [cph]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

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Package shinymeta updated to version 0.2.2 with previous version 0.2.1 dated 2025-04-11

Title: Export Domain Logic from Shiny using Meta-Programming
Description: Provides tools for capturing logic in a Shiny app and exposing it as code that can be run outside of Shiny (e.g., from an R console). It also provides tools for bundling both the code and results to the end user.
Author: Joe Cheng [aut], Carson Sievert [cre, aut] , RStudio [cph]
Maintainer: Carson Sievert <carson@rstudio.com>

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Package RMySQL updated to version 0.11.2 with previous version 0.11.1 dated 2025-04-01

Title: Database Interface and 'MySQL' Driver for R
Description: Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL' client written in 'C++' is available from the 'RMariaDB' package.
Author: Jeroen Ooms [aut, cre] , David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], RStudio [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package mirai updated to version 2.6.1 with previous version 2.6.0 dated 2026-02-13

Title: Minimalist Async Evaluation Framework for R
Description: Evaluates R expressions asynchronously and in parallel, locally or distributed across networks. An official parallel cluster type for R. Built on 'nanonext' and 'NNG', its non-polling, event-driven architecture scales from a laptop to thousands of processes across high-performance computing clusters and cloud platforms. Features FIFO scheduling with task cancellation, promises for reactive programming, 'OpenTelemetry' distributed tracing, and custom serialization for cross-language data types.
Author: Charlie Gao [aut, cre] , Joe Cheng [ctb], Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package Cubist updated to version 0.6.0 with previous version 0.5.1 dated 2025-10-25

Title: Rule- And Instance-Based Regression Modeling
Description: Regression modeling using rules with added instance-based corrections.
Author: Max Kuhn [aut, cre], Steve Weston [ctb], Chris Keefer [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] , Rulequest Research Pty Ltd. [cph]
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package xLLiM updated to version 2.3.1 with previous version 2.3 dated 2023-10-27

Title: High Dimensional Locally-Linear Mapping
Description: Provides a tool for non linear mapping (non linear regression) using a mixture of regression model and an inverse regression strategy. The methods include the GLLiM model (see Deleforge et al (2015) <DOI:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust version of GLLiM, named SLLiM (see Perthame et al (2016) <DOI:10.1016/j.jmva.2017.09.009>) based on a mixture of Generalized Student distributions. The methods also include BLLiM (see Blein--Nicolas et al (2024) <DOI:10.1093/jrsssc/qlae012>) which is an extension of GLLiM with a sparse block diagonal structure for large covariance matrices (particularly interesting for transcriptomic data).
Author: Emeline Perthame [aut, cre] , Florence Forbes [aut] , Antoine Deleforge [aut] , Emilie Devijver [aut] , Melina Gallopin [aut]
Maintainer: Emeline Perthame <emeline.perthame@pasteur.fr>

Diff between xLLiM versions 2.3 dated 2023-10-27 and 2.3.1 dated 2026-03-02

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Package fastMatMR updated to version 1.2.8 with previous version 1.2.7 dated 2026-03-02

Title: High-Performance Matrix Market File Operations
Description: An interface to the 'fast_matrix_market' 'C++' library, this package offers efficient read and write operations for Matrix Market files in R. It supports both sparse and dense matrix formats. Peer-reviewed at 'rOpenSci' (<https://github.com/ropensci/software-review/issues/606>).
Author: Rohit Goswami [aut, cre] , Ildiko Czeller [rev] , Adam Lugowski [ctb]
Maintainer: Rohit Goswami <rgoswami@ieee.org>

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Package soilphysics updated to version 5.1 with previous version 5.0 dated 2022-06-07

Title: Soil Physical Analysis
Description: Basic and model-based soil physical analyses.
Author: Anderson Rodrigo da Silva [aut, cre] , Renato Paiva de Lima [aut]
Maintainer: Anderson Rodrigo da Silva <anderson.agro@hotmail.com>

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Package aifeducation updated to version 1.1.4 with previous version 1.1.3 dated 2025-11-19

Title: Artificial Intelligence for Education
Description: In social and educational settings, the use of Artificial Intelligence (AI) is a challenging task. Relevant data is often only available in handwritten forms, or the use of data is restricted by privacy policies. This often leads to small data sets. Furthermore, in the educational and social sciences, data is often unbalanced in terms of frequencies. To support educators as well as educational and social researchers in using the potentials of AI for their work, this package provides a unified interface for neural nets in 'PyTorch' to deal with natural language problems. In addition, the package ships with a shiny app, providing a graphical user interface. This allows the usage of AI for people without skills in writing python/R scripts. The tools integrate existing mathematical and statistical methods for dealing with small data sets via pseudo-labeling (e.g. Cascante-Bonilla et al. (2020) <doi:10.48550/arXiv.2001.06001>) and imbalanced data via the creation of synthetic cases [...truncated...]
Author: Berding Florian [aut, cre] , Tykhonova Yuliia [aut] , Pargmann Julia [ctb] , Leube Anna [ctb] , Riebenbauer Elisabeth [ctb] , Rebmann Karin [ctb], Slopinski Andreas [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>

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Package mcmodule updated to version 1.2.0 with previous version 1.1.1 dated 2025-11-25

Title: Modular Monte Carlo Risk Analysis
Description: Framework for building modular Monte Carlo risk analysis models. It extends the capabilities of 'mc2d' to facilitate working with multiple risk pathways, variates and scenarios. It provides tools to organize risk analysis in independent flexible modules, perform multivariate Monte Carlo node operations, automate the creation of Monte Carlo nodes and visualise risk analysis models. For more details see Ciria (2025) <https://nataliaciria.com/mcmodule/>.
Author: Natalia Ciria [aut, cre, cph] , Alberto Allepuz [ths] , Giovanna Ciaravino [ths]
Maintainer: Natalia Ciria <nataliaciria@hotmail.com>

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Package maxEff updated to version 0.2.3 with previous version 0.2.2 dated 2026-02-01

Title: Additional Predictor with Maximum Effect Size
Description: Methods of selecting one from many numeric predictors for a regression model, to ensure that the additional predictor has the maximum effect size.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package hyper.gam updated to version 0.2.3 with previous version 0.2.2 dated 2026-02-05

Title: Generalized Additive Models with Hyper Column
Description: Generalized additive models with a numeric hyper column. Sign-adjustment based on the correlation of model prediction and a selected slice of the hyper column. Visualization of the integrand surface over the hyper column.
Author: Tingting Zhan [aut, cre] , Erjia Cui [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package groupedHyperframe.random updated to version 0.2.3 with previous version 0.2.2 dated 2026-02-01

Title: Simulated Grouped Hyper Data Frame
Description: An intuitive interface to simulate (1) superimposed (marked) point patterns with vectorized parameterization of random point pattern and distribution of marks; and (2) grouped hyper data frame based on population parameters and subject-specific random effects.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package geofi updated to version 1.2.0 with previous version 1.1.0 dated 2025-04-29

Title: Access Finnish Geospatial Data
Description: Designed to simplify geospatial data access from the Statistics Finland Web Feature Service API <https://geo.stat.fi/geoserver/index.html>, the geofi package offers researchers and analysts a set of tools to obtain and harmonize administrative spatial data for a wide range of applications, from urban planning to environmental research. The package contains annually updated time series of municipality key datasets that can be used for data aggregation and language translations.
Author: Markus Kainu [aut, cre] , Joona Lehtomaki [aut] , Juuso Parkkinen [ctb] , Jani Miettinen [ctb], Pyry Kantanen [ctb], Sampo Vesanen [ctb], Leo Lahti [aut]
Maintainer: Markus Kainu <markus.kainu@kapsi.fi>

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Package conf updated to version 1.9.3 with previous version 1.9.2 dated 2025-08-27

Title: Visualization and Analysis of Statistical Measures of Confidence
Description: Enables: (1) plotting two-dimensional confidence regions, (2) coverage analysis of confidence region simulations, (3) calculating confidence intervals and the associated actual coverage for binomial proportions, (4) calculating the support values and the probability mass function of the Kaplan-Meier product-limit estimator, and (5) plotting the actual coverage function associated with a confidence interval for the survivor function from a randomly right-censored data set. Each is given in greater detail next. (1) Plots the two-dimensional confidence region for probability distribution parameters (supported distribution suffixes: cauchy, gamma, invgauss, logis, llogis, lnorm, norm, unif, weibull) corresponding to a user-given complete or right-censored dataset and level of significance. The crplot() algorithm plots more points in areas of greater curvature to ensure a smooth appearance throughout the confidence region boundary. An alternative heuristic plots a specified number of poin [...truncated...]
Author: Christopher Weld [aut, cre] , Kexin Feng [aut], Hayeon Park [aut], Yuxin Qin [aut], Xingyu Wang [aut], Heather Krehbiel [aut], Lawrence Leemis [aut], Yuan Chang [ctb], Brock Crook [ctb], Chris Kuebler [ctb], Andrew Loh [ctb], Xin Zhang [ctb]
Maintainer: Christopher Weld <ceweld241@gmail.com>

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Package MAINT.Data updated to version 2.8.0 with previous version 2.7.4 dated 2026-01-14

Title: Model and Analyse Interval Data
Description: Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Author: Pedro Duarte Silva [aut, cre], Paula Brito [aut]
Maintainer: Pedro Duarte Silva <psilva@ucp.pt>

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Package dpGMM updated to version 1.0.0 with previous version 0.2.2 dated 2026-01-15

Title: Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D and 2D Data
Description: Gaussian mixture modeling of one- and two-dimensional data, provided in original or binned form, with an option to estimate the number of model components. The method uses Gaussian Mixture Models (GMM) with initial parameters determined by a dynamic programming algorithm, leading to stable and reproducible model fitting. For more details see Zyla, J., Szumala, K., Polanski, A., Polanska, J., & Marczyk, M. (2026) <doi:10.1016/j.jocs.2026.102811>.
Author: Michal Marczyk [aut, ctb], Kamila Szumala [aut, cre], Joanna Zyla [aut, ctb]
Maintainer: Kamila Szumala <kamila.szumala@polsl.pl>

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Package dfmta updated to version 1.7-8 with previous version 1.7-6 dated 2024-09-30

Title: Phase I/II Adaptive Dose-Finding Design for MTA
Description: Phase I/II adaptive dose-finding design for single-agent Molecularly Targeted Agent (MTA), according to the paper "Phase I/II Dose-Finding Design for Molecularly Targeted Agent: Plateau Determination using Adaptive Randomization", Riviere Marie-Karelle et al. (2016) <doi:10.1177/0962280216631763>.
Author: Marie-Karelle Riviere [aut], Jacques-Henri Jourdan [aut, cre]
Maintainer: Jacques-Henri Jourdan <jacques-henri.jourdan@cnrs.fr>

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Package ecorisk updated to version 0.3.1 with previous version 0.2.1 dated 2025-11-07

Title: Risk Assessments for Ecosystems or Ecosystem Components
Description: Implementation of a modular framework for ecosystem risk assessments, combining existing risk assessment approaches tailored to semi-quantitative and quantitative analyses.
Author: Helene Gutte [aut, cre, cph] , Saskia A. Otto [aut]
Maintainer: Helene Gutte <helenegutte96@gmail.com>

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Package AFR readmission to version 0.3.8 with previous version 0.3.7 dated 2025-08-28

Title: Toolkit for Regression Analysis of Kazakhstan Banking Sector Data
Description: Tool is created for regression, prediction and forecast analysis of macroeconomic and credit data. The package includes functions from existing R packages adapted for banking sector of Kazakhstan. The purpose of the package is to optimize statistical functions for easier interpretation for bank analysts and non-statisticians.
Author: Timur Abilkassymov [aut], Shyngys Shuneyev [aut], Alua Makhmetova [aut], Sultan Zhaparov [aut, cre]
Maintainer: Sultan Zhaparov <saldau.sultan@gmail.com>

This is a re-admission after prior archival of version 0.3.7 dated 2025-08-28

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Package genie updated to version 1.0.7 with previous version 1.0.6 dated 2025-12-01

Title: Fast, Robust, and Outlier Resistant Hierarchical Clustering
Description: Implements a basic version of the hierarchical clustering algorithm 'Genie' which links two point groups in such a way that an inequity measure (namely, the Gini index) of the cluster sizes does not significantly increase above a given threshold. This method most often outperforms many other data segmentation approaches in terms of clustering quality as tested on a wide range of benchmark datasets. At the same time, Genie retains the high speed of the single linkage approach, therefore it is also suitable for analysing larger data sets. For more details see (Gagolewski et al. 2016 <DOI:10.1016/j.ins.2016.05.003>). For a faster and more feature-rich implementation, see the 'genieclust' package (Gagolewski, 2021 <DOI:10.1016/j.softx.2021.100722>).
Author: Marek Gagolewski [aut, cre, cph] , Maciej Bartoszuk [aut] , Anna Cena [aut]
Maintainer: Marek Gagolewski <marek@gagolewski.com>

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Package dfcomb updated to version 3.1-5 with previous version 3.1-4 dated 2024-09-30

Title: Phase I/II Adaptive Dose-Finding Design for Combination Studies
Description: Phase I/II adaptive dose-finding design for combination studies where toxicity rates are supposed to increase with both agents.
Author: Marie-Karelle Riviere [aut], Jacques-Henri Jourdan [aut, cre]
Maintainer: Jacques-Henri Jourdan <jacques-henri.jourdan@cnrs.fr>

Diff between dfcomb versions 3.1-4 dated 2024-09-30 and 3.1-5 dated 2026-03-02

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Package incidence2 updated to version 2.6.4 with previous version 2.6.3 dated 2025-06-04

Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted.
Author: Tim Taylor [aut, cre] , Thibaut Jombart [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package gRain updated to version 1.4.6 with previous version 1.4.5 dated 2024-10-17

Title: Bayesian Networks
Description: Probability propagation in Bayesian networks, also known as graphical independence networks. Documentation of the package is provided in vignettes included in the package and in the paper by Højsgaard (2012, <doi:10.18637/jss.v046.i10>). See 'citation("gRain")' for details.
Author: Soeren Hoejsgaard [aut, cre]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package factorstochvol updated to version 1.1.1 with previous version 1.1.0 dated 2023-11-24

Title: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models
Description: Markov chain Monte Carlo (MCMC) sampler for fully Bayesian estimation of latent factor stochastic volatility models with interweaving <doi:10.1080/10618600.2017.1322091>. Sparsity can be achieved through the usage of Normal-Gamma priors on the factor loading matrix <doi:10.1016/j.jeconom.2018.11.007>.
Author: Gregor Kastner [aut, cre] , Darjus Hosszejni [ctb] , Luis Gruber [ctb]
Maintainer: Gregor Kastner <gregor.kastner@aau.at>

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Permanent link

Package tracerer updated to version 2.2.4 with previous version 2.2.3 dated 2023-09-27

Title: Tracer from R
Description: 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'Tracer' (<https://github.com/beast-dev/tracer/>) is a GUI tool to parse and analyze the files generated by 'BEAST2'. This package provides a way to parse and analyze 'BEAST2' input files without active user input, but using R function calls instead.
Author: Richel J.C. Bilderbeek [aut, cre] , Joelle Barido-Sottani [rev] , Roberto Villegas-Diaz [ctb], David Winter [rev]
Maintainer: Richel J.C. Bilderbeek <rjcbilderbeek@gmail.com>

Diff between tracerer versions 2.2.3 dated 2023-09-27 and 2.2.4 dated 2026-03-02

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Package statgenIBD updated to version 1.0.10 with previous version 1.0.9 dated 2025-07-01

Title: Calculation of IBD Probabilities
Description: For biparental, three and four-way crosses Identity by Descent (IBD) probabilities can be calculated using Hidden Markov Models and inheritance vectors following Lander and Green (<https://www.jstor.org/stable/29713>) and Huang (<doi:10.1073/pnas.1100465108>). One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Martin Boer [aut] , Bart-Jan van Rossum [aut, cre] , Wenhao Li [ctb] , Johannes Kruisselbrink [ctb]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between statgenIBD versions 1.0.9 dated 2025-07-01 and 1.0.10 dated 2026-03-02

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Package RCaucTile updated to version 1.0.4 with previous version 1.0.3 dated 2026-01-16

Title: Tile Grid Maps for East Caucasian Languages
Description: Generates tile maps for the East Caucasian language family, inspired by the Typological Atlas of the Languages of Daghestan (TALD, <https://lingconlab.ru/tald/>). It leverages 'ggplot2' to create visually informative maps, displaying rectangles for each language and allowing for color-coding based on linguistic features. The package includes a built-in dataset of 56 languages and the template for their distribution and provides flexibility to customize the tile map's appearance. The default template can be modified via the ability to hide or rename languages. It's designed to be used with external data tables containing language information and features, offering a tool for visualizing the geographic distribution and linguistic characteristics of East Caucasian languages.
Author: George Moroz [aut, cre]
Maintainer: George Moroz <agricolamz@gmail.com>

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Package pmparser updated to version 1.0.25 with previous version 1.0.24 dated 2026-02-05

Title: Create and Maintain a Relational Database of Data from PubMed/MEDLINE
Description: Provides a simple interface for extracting various elements from the publicly available PubMed XML files, incorporating PubMed's regular updates, and combining the data with the NIH Open Citation Collection. See Schoenbachler and Hughey (2021) <doi:10.7717/peerj.11071>.
Author: Jake Hughey [aut, cre], Josh Schoenbachler [aut], Elliot Outland [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>

Diff between pmparser versions 1.0.24 dated 2026-02-05 and 1.0.25 dated 2026-03-02

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Package fastMatMR readmission to version 1.2.7 with previous version 1.2.5 dated 2023-11-03

Title: High-Performance Matrix Market File Operations
Description: An interface to the 'fast_matrix_market' 'C++' library, this package offers efficient read and write operations for Matrix Market files in R. It supports both sparse and dense matrix formats. Peer-reviewed at 'rOpenSci' (<https://github.com/ropensci/software-review/issues/606>).
Author: Rohit Goswami [aut, cre] , Ildiko Czeller [rev] , Adam Lugowski [ctb]
Maintainer: Rohit Goswami <rgoswami@ieee.org>

This is a re-admission after prior archival of version 1.2.5 dated 2023-11-03

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Package ammiBayes updated to version 2.1-1 with previous version 1.0-3 dated 2025-04-19

Title: Bayesian Ammi Model for Continuous Data with or without Additive and Dominance Effect
Description: Flexible multi-environment trials analysis via MCMC method for Additive Main Effects and Multiplicative Interaction Model (AMMI) for continuous data. Biplot with the averages and regions of confidence can be generated. The chains run in parallel on Linux systems and run serially on Windows.
Author: Fabio M. Correa [aut, cre] , Luciano A. Oliveira [aut], Carlos P. Silva [aut], Cristian T. E. Mendes [aut], Alessandra Q. Silva [aut], Joel J. Nuvunga [aut], Larissa C. V. Boas [aut], Marcio Balestre [ths], Julio S. S. Bueno-Filho [ths]
Maintainer: Fabio M. Correa <fmcron@protonmail.com>

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Package tteICE updated to version 1.1.3 with previous version 1.1.2 dated 2026-02-28

Title: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events
Description: Analysis of treatment effects in clinical trials with time-to-event outcomes is complicated by intercurrent events. This package implements methods for estimating and inferring the cumulative incidence functions for time-to-event (TTE) outcomes with intercurrent events (ICE) under the five strategies outlined in the ICH E9 (R1) addendum, see Deng (2025) <doi:10.1002/sim.70091>. This package can be used for analyzing data from both randomized controlled trials and observational studies. In general, the data involve a primary outcome event and, potentially, an intercurrent event. Two data structures are allowed: competing risks, where only the time to the first event is recorded, and semicompeting risks, where the times to both the primary outcome event and intercurrent event (or censoring) are recorded. For estimation methods, users can choose nonparametric estimation (which does not use covariates) and semiparametrically efficient estimation.
Author: Yuhao Deng [aut], Yi Zhou [cre]
Maintainer: Yi Zhou <yzhou@pku.edu.cn>

Diff between tteICE versions 1.1.2 dated 2026-02-28 and 1.1.3 dated 2026-03-02

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Package ResIN updated to version 2.3.0 with previous version 2.2.1 dated 2025-07-30

Title: Conduct Response Item Network (ResIN) Analysis with Social Response Data
Description: Contains various tools to perform and visualize Response Item Networks ('ResIN's'). 'ResIN' dummy-codes ordered and qualitative response choices from (survey) data, calculates pairwise associations and maps the location of each item response as a node in a force-directed network. Please refer to <https://www.resinmethod.net/> for more details.
Author: Philip Warncke [cre, aut], Dino Carpentras [aut], Adrian Lueders [aut]
Maintainer: Philip Warncke <philip.warncke@ul.ie>

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Package power.transform updated to version 1.0.4 with previous version 1.0.3 dated 2026-01-15

Title: Location and Scale Invariant Power Transformations
Description: Location- and scale-invariant Box-Cox and Yeo-Johnson power transformations allow for transforming variables with distributions distant from 0 to normality. Transformers are implemented as S4 objects. These allow for transforming new instances to normality after optimising fitting parameters on other data. A test for central normality allows for rejecting transformations that fail to produce a suitably normal distribution, independent of sample number.
Author: Alex Zwanenburg [aut, cre] , Steffen Loeck [aut], German Cancer Research Center [cph]
Maintainer: Alex Zwanenburg <alexander.zwanenburg@nct-dresden.de>

Diff between power.transform versions 1.0.3 dated 2026-01-15 and 1.0.4 dated 2026-03-02

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Package ergm.ego updated to version 1.1.4 with previous version 1.1.3 dated 2025-06-10

Title: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Description: Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data. See Krivitsky and Morris (2017) <doi:10.1214/16-AOAS1010>.
Author: Pavel N. Krivitsky [aut, cre] , Steven M. Goodreau [ctb], Martina Morris [ctb], Kirk Li [ctb], Emily N. Beylerian [ctb], Michal Bojanowski [ctb] , Chad Klumb [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package altdoc readmission to version 0.7.2 with previous version 0.7.1 dated 2026-02-17

Title: Package Documentation Websites with 'Quarto', 'Docsify', 'Docute', or 'MkDocs'
Description: This is a simple and powerful package to create, render, preview, and deploy documentation websites for 'R' packages. It is a lightweight and flexible alternative to 'pkgdown', with support for many documentation generators, including 'Quarto', 'Docute', 'Docsify', and 'MkDocs'.
Author: Etienne Bacher [aut, cre, cph], Vincent Arel-Bundock [aut]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

This is a re-admission after prior archival of version 0.7.1 dated 2026-02-17

Diff between altdoc versions 0.7.1 dated 2026-02-17 and 0.7.2 dated 2026-03-02

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Package CCMnet updated to version 1.0.0 with previous version 0.1.6 dated 2026-02-18

Title: Congruence Class Models for Networks
Description: Provides an implementation of Congruence Class Models for generating networks. It facilitates sampling networks based on specific topological properties and attribute mixing patterns using a Markov Chain Monte Carlo framework. The implementation builds upon code from the 'ergm' package; see Handcock et al. (2008) <doi:10.18637/jss.v024.i01>.
Author: Ravi Goyal [aut, cre], Statnet Development Team [ctb, cph]
Maintainer: Ravi Goyal <ravi.j.goyal@gmail.com>

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Package xpose updated to version 0.4.23 with previous version 0.4.22 dated 2025-11-24

Title: Diagnostics for Pharmacometric Models
Description: Diagnostics for non-linear mixed-effects (population) models from 'NONMEM' <https://www.iconplc.com/solutions/technologies/nonmem/>. 'xpose' facilitates data import, creation of numerical run summary and provide 'ggplot2'-based graphics for data exploration and model diagnostics.
Author: Benjamin Guiastrennec [aut, cre, cph], Andrew C. Hooker [aut, cph], Sebastian Ueckert [aut, cph], Mike K. Smith [ctb], Mats O. Karlsson [aut, cph]
Maintainer: Benjamin Guiastrennec <guiastrennec@gmail.com>

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Package srlars updated to version 2.0.0 with previous version 1.0.1 dated 2023-07-16

Title: Fast and Scalable Cellwise-Robust Ensemble
Description: Functions to perform robust variable selection and regression using the Fast and Scalable Cellwise-Robust Ensemble (FSCRE) algorithm. The approach establishes a robust foundation using the Detect Deviating Cells (DDC) algorithm and robust correlation estimates. It then employs a competitive ensemble architecture where a robust Least Angle Regression (LARS) engine proposes candidate variables and cross-validation arbitrates their assignment. A final robust MM-estimator is applied to the selected predictors.
Author: Anthony Christidis [aut, cre], Gabriela Cohen-Freue [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package smplot2 updated to version 0.2.6 with previous version 0.2.5 dated 2025-01-26

Title: Create Standalone and Composite Plots in 'ggplot2' for Publications
Description: Provides functions for creating and annotating a composite plot in 'ggplot2'. Offers background themes and shortcut plotting functions that produce figures that are appropriate for the format of scientific journals. Some methods are described in Min and Zhou (2021) <doi:10.3389/fgene.2021.802894>.
Author: Seung Hyun Min [aut, cre]
Maintainer: Seung Hyun Min <seung.min@mail.mcgill.ca>

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Package ivreg updated to version 0.6-7 with previous version 0.6-6 dated 2026-02-09

Title: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
Author: John Fox [aut] , Christian Kleiber [aut] , Achim Zeileis [aut, cre] , Nikolas Kuschnig [ctb] , R Core Team [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package groupedHyperframe updated to version 0.3.5 with previous version 0.3.4 dated 2026-02-01

Title: Grouped Hyper Data Frame
Description: An S3 class 'groupedHyperframe' that inherits from the hyper data frame class from the 'spatstat' packages. Batch process and aggregation of the hyper column(s) over a nested grouping structure.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package geosphere updated to version 1.6-5 with previous version 1.5-20 dated 2024-10-04

Title: Spherical Trigonometry
Description: Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.
Author: Robert J. Hijmans [cre, aut], Charles Karney [ctb] , Ed Williams [ctb], Chris Vennes [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Sun, 01 Mar 2026

Package quickSentiment updated to version 0.3.1 with previous version 0.2.0 dated 2026-02-15

Title: A Fast and Flexible Pipeline for Text Classification
Description: A high-level pipeline that simplifies text classification into three streamlined steps: preprocessing, model training, and standardized prediction. It unifies the interface for multiple algorithms (including 'glmnet', 'ranger', 'xgboost', and 'naivebayes') and memory-efficient sparse matrix vectorization methods (Bag-of-Words, Term Frequency, TF-IDF, and Binary). Users can go from raw text to a fully evaluated sentiment model, complete with ROC-optimized thresholds, in just a few function calls. The resulting model artifact automatically aligns the vocabulary of new datasets during the prediction phase, safely appending predicted classes and probability matrices directly to the user's original dataframe to preserve metadata.
Author: Alabhya Dahal [aut, cre]
Maintainer: Alabhya Dahal <alabhya.dahal@gmail.com>

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Package clustord updated to version 2.0.0 with previous version 1.3.4 dated 2025-05-29

Title: Cluster Ordinal Data via Proportional Odds or Ordered Stereotype
Description: Biclustering, row clustering and column clustering using the proportional odds model (POM), ordered stereotype model (OSM) or binary model for ordinal categorical data. Fernández, D., Arnold, R., Pledger, S., Liu, I., & Costilla, R. (2019) <doi:10.1007/s11634-018-0324-3>.
Author: Louise McMillan [aut, cre, cph] , Daniel Fernandez Martinez [aut] , Ying Cui [aut], Eleni Matechou [aut] , W. N. Venables [ctb, cph] , B. D. Ripley [ctb, cph]
Maintainer: Louise McMillan <louise.mcmillan@vuw.ac.nz>

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Package climwin updated to version 1.2.33 with previous version 1.2.32 dated 2025-08-25

Title: Climate Window Analysis
Description: Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a given biological response. Please see van de Pol et al. (2016) <doi:10.1111/2041-210X.12590> and Bailey and van de Pol (2016) <doi:10.1371/journal.pone.0167980> for details.
Author: Liam D. Bailey [aut, cre], Martijn van de Pol [aut]
Maintainer: Liam D. Bailey <liam.bailey@liamdbailey.com>

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Package simpleCache updated to version 0.5.0 with previous version 0.4.3 dated 2026-02-26

Title: Simply Caching R Objects
Description: Provides intuitive functions for caching R objects, encouraging reproducible, restartable, and distributed R analysis. The user selects a location to store caches, and then provides nothing more than a cache name and instructions (R code) for how to produce the R object. Also provides some advanced options like environment assignments, recreating or reloading caches, and cluster compute bindings (using the 'batchtools' package) making it flexible enough for use in large-scale data analysis projects.
Author: VP Nagraj [aut], Nathan Sheffield [aut, cre]
Maintainer: Nathan Sheffield <nathan@code.databio.org>

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Package causalreg updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-27

Title: Causal Generalized Linear Models
Description: An implementation of methods for causal discovery in a structural causal model where the conditional distribution of the target node is described by a generalized linear model conditional on its causal parents.
Author: Veronica Vinciotti [aut, cre], Ernst C. Wit [aut]
Maintainer: Veronica Vinciotti <veronica.vinciotti@unitn.it>

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Package ARCokrig readmission to version 0.1.3 with previous version 0.1.2 dated 2021-12-02

Title: Autoregressive Cokriging Models for Multifidelity Codes
Description: For emulating multifidelity computer models. The major methods include univariate autoregressive cokriging and multivariate autoregressive cokriging. The autoregressive cokriging methods are implemented for both hierarchically nested design and non-nested design. For hierarchically nested design, the model parameters are estimated via standard optimization algorithms; For non-nested design, the model parameters are estimated via Monte Carlo expectation-maximization (MCEM) algorithms. In both cases, the priors are chosen such that the posterior distributions are proper. Notice that the uniform priors on range parameters in the correlation function lead to improper posteriors. This should be avoided when Bayesian analysis is adopted. The development of objective priors for autoregressive cokriging models can be found in Pulong Ma (2020) <DOI:10.1137/19M1289893>. The development of the multivariate autoregressive cokriging models with possibly non-nested design can be found in Pulon [...truncated...]
Author: Pulong Ma [aut, cre]
Maintainer: Pulong Ma <mpulong@gmail.com>

This is a re-admission after prior archival of version 0.1.2 dated 2021-12-02

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Package ldmppr updated to version 1.1.2 with previous version 1.1.1 dated 2026-01-13

Title: Estimate and Simulate from Location Dependent Marked Point Processes
Description: A suite of tools for estimating, assessing model fit, simulating from, and visualizing location dependent marked point processes characterized by regularity in the pattern. You provide a reference marked point process, a set of raster images containing location specific covariates, and select the estimation algorithm and type of mark model. 'ldmppr' estimates the process and mark models and allows you to check the appropriateness of the model using a variety of diagnostic tools. Once a satisfactory model fit is obtained, you can simulate from the model and visualize the results. Documentation for the package 'ldmppr' is available in the form of a vignette.
Author: Lane Drew [aut, cre, cph] , Andee Kaplan [aut]
Maintainer: Lane Drew <lanetdrew@gmail.com>

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Package dbi.table updated to version 1.0.7 with previous version 1.0.6 dated 2026-01-11

Title: Database Queries Using 'data.table' Syntax
Description: Query database tables over a 'DBI' connection using 'data.table' syntax. Attach database schemas to the search path. Automatically merge using foreign key constraints.
Author: Kjell P. Konis [aut, cre], Luis Rocha [ctb]
Maintainer: Kjell P. Konis <kjellk@gmail.com>

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Package REBayes updated to version 2.60 with previous version 2.59 dated 2025-12-03

Title: Empirical Bayes Estimation and Inference
Description: Kiefer-Wolfowitz maximum likelihood estimation for mixture models and some other density estimation and regression methods based on convex optimization. See Koenker and Gu (2017) REBayes: An R Package for Empirical Bayes Mixture Methods, Journal of Statistical Software, 82, 1--26, <DOI:10.18637/jss.v082.i08>.
Author: Roger Koenker [aut, cre], Jiaying Gu [ctb], Ivan Mizera [ctb]
Maintainer: Roger Koenker <rkoenker@uiuc.edu>

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Package MRStdLCRT updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-15

Title: Model-Robust Standardization for Longitudinal Cluster-Randomized Trials
Description: Provides estimation and leave-one-cluster-out jackknife standard errors for four longitudinal cluster-randomized trial estimands: horizontal individual average treatment effect (h-iATE), horizontal cluster average treatment effect (h-cATE), vertical individual average treatment effect (v-iATE), and vertical cluster-period average treatment effect (v-cATE), using unadjusted and augmented (model-robust standardization) estimators. The working model may be fit using linear mixed models for continuous outcomes or generalized estimating equations and generalized linear mixed models for binary outcomes. Period inclusion for aggregation is determined automatically: only periods with both treated and control clusters are included in the construction of the marginal means and treatment effect contrasts. See Fang et al. (2025) <doi:10.48550/arXiv.2507.17190>.
Author: Xi Fang [aut, cre], Fan Li [aut]
Maintainer: Xi Fang <x.fang@yale.edu>

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Package lhs updated to version 1.2.1 with previous version 1.2.0 dated 2024-06-30

Title: Latin Hypercube Samples
Description: Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples.
Author: Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell@gmail.com>

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Package modelbpp updated to version 0.2.0 with previous version 0.1.6 dated 2025-09-24

Title: Model BIC Posterior Probability
Description: Fits the neighboring models of a fitted structural equation model and assesses the model uncertainty of the fitted model based on BIC posterior probabilities (BPP), using the method presented in Wu, Cheung, and Leung (2020) <doi:10.1080/00273171.2019.1574546>. See Pesigan, Cheung, Wu, Chang, and Leung (2026) <doi:10.3758/s13428-025-02921-x> for an introduction to the package.
Author: Shu Fai Cheung [aut, cre] , Huiping Wu [aut], Shing On Leung [aut] , Ivan Jacob Agaloos Pesigan [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package mlr3cluster updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-04

Title: Cluster Extension for 'mlr3'
Description: Extends the 'mlr3' package with cluster analysis.
Author: Maximilian Muecke [aut, cre] , Damir Pulatov [aut], Michel Lang [aut] , Marc Becker [ctb]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package iRfcb updated to version 0.8.1 with previous version 0.8.0 dated 2026-02-27

Title: Tools for Managing Imaging FlowCytobot (IFCB) Data
Description: A comprehensive suite of tools for managing, processing, and analyzing data from the IFCB. I R FlowCytobot ('iRfcb') supports quality control, geospatial analysis, and preparation of IFCB data for publication in databases like <https://www.gbif.org>, <https://www.obis.org>, <https://emodnet.ec.europa.eu/en>, <https://shark.smhi.se/en/>, and <https://www.ecotaxa.org>. The package integrates with the MATLAB 'ifcb-analysis' tool, which is described in Sosik and Olson (2007) <doi:10.4319/lom.2007.5.204>, and provides features for working with raw, manually classified, and machine learning–classified image datasets. Key functionalities include image extraction, particle size distribution analysis, taxonomic data handling, and biomass concentration calculations, essential for plankton research.
Author: Anders Torstensson [aut, cre] , Kendra Hayashi [ctb] , Jamie Enslein [ctb], Raphael Kudela [ctb] , Alle Lie [ctb] , Jayme Smith [ctb] , DTO-BioFlow [fnd] , SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>

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Package fude updated to version 0.4.0 with previous version 0.3.7 dated 2024-12-22

Title: Utilities for Fude Polygon
Description: Provides utilities to facilitate handling of Fude Polygon data downloadable from the Ministry of Agriculture, Forestry and Fisheries website <https://open.fude.maff.go.jp>.
Author: Takeshi Nishimura [aut, cph, cre]
Maintainer: Takeshi Nishimura <takenishi@gmail.com>

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Package cayleyR updated to version 0.2.1 with previous version 0.1.0 dated 2025-11-25

Title: Cayley Graph Analysis for Permutation Puzzles
Description: Implements algorithms for analyzing Cayley graphs of permutation groups, with a focus on the TopSpin puzzle and similar permutation-based combinatorial puzzles. Provides methods for cycle detection, state space exploration, bidirectional BFS pathfinding, and finding optimal operation sequences in permutation groups generated by shift and reverse operations. Includes C++ implementations of core operations via 'Rcpp' for performance. Optional GPU acceleration via 'ggmlR' Vulkan backend for batch distance calculations and parallel state transformations.
Author: Yuri Baramykov [aut, cre]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package Rveg updated to version 0.1.8 with previous version 0.1.6 dated 2024-11-22

Title: Digitization of Phytosociological Relevés
Description: Simple and fast tool for transforming phytosociological vegetation data into digital form for the following analysis. Danihelka, Chrtek, and Kaplan (2012, ISSN:00327786). Hennekens, and Schaminée (2001) <doi:10.2307/3237010>. Tichý (2002) <doi:10.1111/j.1654-1103.2002.tb02069.x>. Wickham, François, Henry, Müller (2022) <https://CRAN.R-project.org/package=dplyr>.
Author: Premysl Kral [aut, cre] , Jan Douda [aut]
Maintainer: Premysl Kral <kralp@fzp.czu.cz>

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Package gMOIP updated to version 1.5.6 with previous version 1.5.5 dated 2025-06-25

Title: Tools for 2D and 3D Plots of Single and Multi-Objective Linear/Integer Programming Models
Description: Make 2D and 3D plots of linear programming (LP), integer linear programming (ILP), or mixed integer linear programming (MILP) models with up to three objectives. Plots of both the solution and criterion space are possible. For instance the non-dominated (Pareto) set for bi-objective LP/ILP/MILP programming models (see vignettes for an overview). The package also contains an function for checking if a point is inside the convex hull.
Author: Lars Relund Nielsen [aut, cre]
Maintainer: Lars Relund Nielsen <lars@relund.dk>

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Package osqp updated to version 1.0.0 with previous version 0.6.3.3 dated 2024-06-08

Title: Quadratic Programming Solver using the 'OSQP' Library
Description: Provides bindings to the 'OSQP' solver. The 'OSQP' solver is a numerical optimization package for solving convex quadratic programs written in 'C' and based on the alternating direction method of multipliers. See <doi:10.48550/arXiv.1711.08013> for details.
Author: Bartolomeo Stellato [aut, ctb, cph], Goran Banjac [aut, ctb, cph], Paul Goulart [aut, ctb, cph], Stephen Boyd [aut, ctb, cph], Eric Anderson [ctb], Vineet Bansal [aut, ctb], Balasubramanian Narasimhan [cre, aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package NumericEnsembles updated to version 1.0.5 with previous version 1.0.3 dated 2026-02-26

Title: Automatically Runs 18 Individual and 14 Ensembles of Models
Description: Automatically runs 18 individual models and 14 ensembles on numeric data, for a total of 32 models. The package automatically returns complete results on all 32 models, 25 charts and six tables. The user simply provides the tidy data, and answers a few questions (for example, how many times would you like to resample the data). From there the package randomly splits the data into train, test and validation sets as the user requests (for example, train = 0.60, test = 0.20, validation = 0.20), fits each of models on the training data, makes predictions on the test and validation sets, measures root mean squared error (RMSE), removes features above a user-set level of Variance Inflation Factor, and has several optional features including scaling all numeric data, four different ways to handle strings in the data. Perhaps the most significant feature is the package's ability to make predictions using the 32 pre trained models on totally new (untrained) data if the user selects that feature [...truncated...]
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>

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Package bclogit updated to version 1.1 with previous version 1.0 dated 2026-02-25

Title: Conditional Logistic Regression
Description: Performs inference for Bayesian conditional logistic regression with informative priors built from the concordant pair data. We include many options to build the priors. And we include many options during the inference step for estimation, testing and confidence set creation. For details, see Kapelner and Tennenbaum (2026) "Improved Conditional Logistic Regression using Information in Concordant Pairs with Software" <doi:10.48550/arXiv.2602.08212>.
Author: Adam Kapelner [aut, cre] , Jacob Tennenbaum [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

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Package airnow readmission to version 0.1.1 with previous version 0.1.0 dated 2022-10-31

Title: Retrieve 'AirNow' Air Quality Observations and Forecasts
Description: Retrieve air quality data via the 'AirNow' <https://www.airnow.gov/> API.
Author: Brian Connelly [aut, cre, cph]
Maintainer: Brian Connelly <bdc@bconnelly.net>

This is a re-admission after prior archival of version 0.1.0 dated 2022-10-31

Diff between airnow versions 0.1.0 dated 2022-10-31 and 0.1.1 dated 2026-03-01

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Package supernova updated to version 3.0.2 with previous version 3.0.1 dated 2025-12-05

Title: Judd, McClelland, & Ryan Formatting for ANOVA Output
Description: Produces ANOVA tables in the format used by Judd, McClelland, and Ryan (2017, ISBN: 978-1138819832) in their introductory textbook, Data Analysis. This includes proportional reduction in error and formatting to improve ease the transition between the book and R.
Author: Adam Blake [cre, aut] , Jeff Chrabaszcz [aut], Ji Son [aut] , Jim Stigler [aut]
Maintainer: Adam Blake <adam@coursekata.org>

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Package pomdpSolve updated to version 1.0.6 with previous version 1.0.4 dated 2023-08-31

Title: Interface to 'pomdp-solve' for Partially Observable Markov Decision Processes
Description: Installs an updated version of 'pomdp-solve' and provides a low-level interface. Pomdp-solve is a program to solve Partially Observable Markov Decision Processes (POMDPs) using a variety of exact and approximate value iteration algorithms. A convenient R infrastructure is provided in the separate package pomdp. Hahsler and Cassandra <doi:10.32614/RJ-2024-021>.
Author: Michael Hahsler [aut, cph, cre] , Anthony R. Cassandra [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package mlrMBO updated to version 1.1.6 with previous version 1.1.5.1 dated 2022-07-04

Title: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
Description: Flexible and comprehensive R toolbox for model-based optimization ('MBO'), also known as Bayesian optimization. It implements the Efficient Global Optimization Algorithm and is designed for both single- and multi- objective optimization with mixed continuous, categorical and conditional parameters. The machine learning toolbox 'mlr' provide dozens of regression learners to model the performance of the target algorithm with respect to the parameter settings. It provides many different infill criteria to guide the search process. Additional features include multi-point batch proposal, parallel execution as well as visualization and sophisticated logging mechanisms, which is especially useful for teaching and understanding of algorithm behavior. 'mlrMBO' is implemented in a modular fashion, such that single components can be easily replaced or adapted by the user for specific use cases.
Author: Bernd Bischl [aut] , Jakob Richter [aut] , Jakob Bossek [aut] , Daniel Horn [aut], Michel Lang [aut] , Janek Thomas [aut] , Martin Binder [cre]
Maintainer: Martin Binder <mlr.developer@mb706.com>

Diff between mlrMBO versions 1.1.5.1 dated 2022-07-04 and 1.1.6 dated 2026-03-01

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Package mlr3pipelines updated to version 0.11.0 with previous version 0.10.0 dated 2025-11-07

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Sebastian Fischer [aut] , Susanne Dandl [aut], Keno Mersmann [ctb], Maximilian Muecke [ctb] , Lona Koers [ctb], Alexander Winterstet [...truncated...]
Maintainer: Martin Binder <mlr.developer@mb706.com>

Diff between mlr3pipelines versions 0.10.0 dated 2025-11-07 and 0.11.0 dated 2026-03-01

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Package clarabel updated to version 0.11.2 with previous version 0.11.1 dated 2025-09-24

Title: Interior Point Conic Optimization Solver
Description: A versatile interior point solver that solves linear programs (LPs), quadratic programs (QPs), second-order cone programs (SOCPs), semidefinite programs (SDPs), and problems with exponential and power cone constraints (<https://clarabel.org/stable/>). For quadratic objectives, unlike interior point solvers based on the standard homogeneous self-dual embedding (HSDE) model, Clarabel handles quadratic objective without requiring any epigraphical reformulation of its objective function. It can therefore be significantly faster than other HSDE-based solvers for problems with quadratic objective functions. Infeasible problems are detected using using a homogeneous embedding technique.
Author: Balasubramanian Narasimhan [aut, cre], Paul Goulart [aut, cph], Yuwen Chen [aut], Hiroaki Yutani [ctb] , David Zimmermann-Kollenda [ctb] , The authors of the dependency Rust crates [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

Diff between clarabel versions 0.11.1 dated 2025-09-24 and 0.11.2 dated 2026-03-01

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Package blackbox updated to version 1.1.54 with previous version 1.1.46 dated 2023-12-07

Title: Black Box Optimization and Exploration of Parameter Space
Description: Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. Includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (Rousset and Leblois, 2012 <doi:10.1093/molbev/MSR262>; Leblois et al., 2014 <doi:10.1093/molbev/msu212>; and see URL). The latter functions are used for prediction of likelihood surfaces and implied likelihood ratio confidence intervals, and for exploration of predictor space of the surface. Prediction of the response is based on ordinary Kriging (with residual error) of the input. Estimation of smoothing parameters is performed by generalized cross-validation.
Author: Francois Rousset [aut, cre, cph] , Raphael Leblois [ctb]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

Diff between blackbox versions 1.1.46 dated 2023-12-07 and 1.1.54 dated 2026-03-01

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Package autograph updated to version 0.6.0 with previous version 0.5.0 dated 2025-11-19

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 0.5.0 dated 2025-11-19 and 0.6.0 dated 2026-03-01

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Sat, 28 Feb 2026

Package tteICE updated to version 1.1.2 with previous version 1.1.1 dated 2026-02-04

Title: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events
Description: Analysis of treatment effects in clinical trials with time-to-event outcomes is complicated by intercurrent events. This package implements methods for estimating and inferring the cumulative incidence functions for time-to-event (TTE) outcomes with intercurrent events (ICE) under the five strategies outlined in the ICH E9 (R1) addendum, see Deng (2025) <doi:10.1002/sim.70091>. This package can be used for analyzing data from both randomized controlled trials and observational studies. In general, the data involve a primary outcome event and, potentially, an intercurrent event. Two data structures are allowed: competing risks, where only the time to the first event is recorded, and semicompeting risks, where the times to both the primary outcome event and intercurrent event (or censoring) are recorded. For estimation methods, users can choose nonparametric estimation (which does not use covariates) and semiparametrically efficient estimation.
Author: Yuhao Deng [aut], Yi Zhou [cre]
Maintainer: Yi Zhou <yzhou@pku.edu.cn>

Diff between tteICE versions 1.1.1 dated 2026-02-04 and 1.1.2 dated 2026-02-28

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Package rqlm updated to version 4.3-2 with previous version 4.3-1 dated 2026-01-28

Title: Modified Poisson Regression for Binary Outcome and Related Methods
Description: Modified Poisson, logistic and least-squares regression analyses for binary outcomes of Zou (2004) <doi:10.1093/aje/kwh090>, Noma (2026)<doi:10.1016/j.spl.2026.110698>, and Cheung (2007) <doi:10.1093/aje/kwm223> have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. In addition, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals.
Author: Hisashi Noma [aut, cre]
Maintainer: Hisashi Noma <noma@ism.ac.jp>

Diff between rqlm versions 4.3-1 dated 2026-01-28 and 4.3-2 dated 2026-02-28

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Package psgp updated to version 0.3-26 with previous version 0.3-25 dated 2025-09-29

Title: Projected Spatial Gaussian Process Methods
Description: Implements projected sparse Gaussian process Kriging ('Ingram et. al.', 2008, <doi:10.1007/s00477-007-0163-9>) as an additional method for the 'intamap' package. More details on implementation ('Barillec et. al.', 2010, <doi:10.1016/j.cageo.2010.05.008>).
Author: Ben Ingram [aut, cre] , Remi Barillec [aut], Jon Olav Skoien [aut]
Maintainer: Ben Ingram <ingrambr.work@gmail.com>

Diff between psgp versions 0.3-25 dated 2025-09-29 and 0.3-26 dated 2026-02-28

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Package contoso updated to version 2.1.0 with previous version 2.0.0 dated 2026-02-03

Title: Dataset of the 'Contoso' Company
Description: A collection of synthetic datasets simulating sales transactions from a fictional company. The dataset includes various related tables that contain essential business and operational data, useful for analyzing sales performance and other business insights. Key tables included in the package are: - "sales": Contains data on individual sales transactions, including order details, pricing, quantities, and customer information. - "customer": Stores customer-specific details such as demographics, geographic location, occupation, and birthday. - "store": Provides information about stores, including location, size, status, and operational dates. - "orders": Contains details about customer orders, including order and delivery dates, store, and customer data. - "product": Contains data on products, including attributes such as product name, category, price, cost, and weight. - "calendar": A time-based table that includes date-related attributes like year, month, quarter, day, and working day in [...truncated...]
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>

Diff between contoso versions 2.0.0 dated 2026-02-03 and 2.1.0 dated 2026-02-28

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Package photon updated to version 1.0.0 with previous version 0.7.4-1 dated 2026-01-17

Title: High-Performance Geocoding using 'photon'
Description: Features unstructured, structured and reverse geocoding using the 'photon' geocoding API <https://photon.komoot.io/>. Facilitates the setup of local 'photon' instances to enable offline geocoding.
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jslth@outlook.com>

Diff between photon versions 0.7.4-1 dated 2026-01-17 and 1.0.0 dated 2026-02-28

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Package tsg updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-22

Title: Generate Publication-Ready Statistical Tables
Description: A collection of functions for generating frequency tables and cross-tabulations of categorical variables. The resulting tables can be exported to various formats (Excel, PDF, HTML, etc.) with extensive formatting and layout customization options.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>

Diff between tsg versions 0.1.2 dated 2026-02-22 and 0.1.3 dated 2026-02-28

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Package selection.index updated to version 2.0.0 with previous version 1.2.1 dated 2026-01-26

Title: Analysis of Selection Index in Plant Breeding
Description: Provides tools for the simultaneous improvement of multiple traits in plant breeding. Building upon the classical selection index (Smith 1937 <doi:10.1111/j.1469-1809.1936.tb02143.x>) and modern quantitative genetics (Kang 2020 <doi:10.1007/978-3-319-91223-3>), this package calculates classical phenotypic, genomic, marker-assisted, restricted/constrained, and eigen selection indices. It also incorporates multi-stage selection evaluation and stochastic simulations to estimate genetic advance based on economic weights, heritability, and genetic correlations.
Author: Zankrut Goyani [aut, cre, cph]
Maintainer: Zankrut Goyani <zankrut20@gmail.com>

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Package pepr readmission to version 0.6.0 with previous version 0.5.0 dated 2023-11-21

Title: Reading Portable Encapsulated Projects
Description: A PEP, or Portable Encapsulated Project, is a dataset that subscribes to the PEP structure for organizing metadata. It is written using a simple YAML + CSV format, it is your one-stop solution to metadata management across data analysis environments. This package reads this standardized project configuration structure into R. Described in Sheffield et al. (2021) <doi:10.1093/gigascience/giab077>.
Author: Nathan Sheffield [aut, cph, cre], Michal Stolarczyk [aut]
Maintainer: Nathan Sheffield <nathan@code.databio.org>

This is a re-admission after prior archival of version 0.5.0 dated 2023-11-21

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Package pedtricks updated to version 0.5.0 with previous version 0.4.2 dated 2024-09-09

Title: Visualize, Summarize and Simulate Data from Pedigrees
Description: Sensitivity and power analysis, for calculating statistics describing pedigrees from wild populations, and for visualizing pedigrees. This is a reboot of the methods developed by Morrissey and Wilson (2010) <doi: 10.1111/j.1755-0998.2009.02817.x>.
Author: Julien Martin [aut, cre] , Matthew Wolak [aut] , Susan Johnston [aut] , Joel Pick [aut] , Michael Morrissey [aut]
Maintainer: Julien Martin <julien.martin@uottawa.ca>

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Package MIMER readmission to version 1.0.5 with previous version 1.0.4 dated 2025-06-24

Title: Data Wrangling for Antimicrobial Resistance Studies
Description: Designed for analyzing the Medical Information Mart for Intensive Care(MIMIC) dataset, a repository of freely accessible electronic health records. MIMER(MIMIC-enabled Research) package, offers a suite of data wrangling functions tailored specifically for preparing the dataset for research purposes, particularly in antimicrobial resistance(AMR) studies. It simplifies complex data manipulation tasks, allowing researchers to focus on their primary inquiries without being bogged down by wrangling complexities.
Author: Anoop Velluva [aut, cre] , Alessandro Gerada [ctb] , Alexander Howard [ctb]
Maintainer: Anoop Velluva <anoop.velluva@liverpool.ac.uk>

This is a re-admission after prior archival of version 1.0.4 dated 2025-06-24

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Package IVPP updated to version 1.1.2 with previous version 1.1.1 dated 2025-05-26

Title: Invariance Partial Pruning Test
Description: An implementation of the Invariance Partial Pruning (IVPP) approach described in Du, X., Johnson, S. U., Epskamp, S. (2025) The Invariance Partial Pruning Approach to The Network Comparison in Longitudinal Data. IVPP is a two-step method that first test for global network structural difference with invariance test and then inspect specific edge difference with partial pruning. The package also allows you to compute centrality measures and use radar chart to plot. Analysis of bridge centralities by community pairs is also possible (e.g., the bridge strength from depression to anxiety, and from depression to panic disorder).
Author: Xinkai Du [aut, cre, cph]
Maintainer: Xinkai Du <xinkai.du.xd@gmail.com>

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Package GSODR updated to version 5.0.1 with previous version 5.0.0 dated 2025-11-15

Title: Global Surface Summary of the Day ('GSOD') Weather Data Client
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day ('GSOD') weather data from the from the USA National Centers for Environmental Information ('NCEI'). The data were retired on 2025-08-29 and are no longer updated. Units are converted from from United States Customary System ('USCS') units to International System of Units ('SI'). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure ('es'), actual vapour pressure ('ea') and relative humidity ('RH') are calculated from the original data using the improved August-Roche-Magnus approximation (Alduchov & Eskridge 1996) and included in the final data set. The resulting metadata include station identification information, cou [...truncated...]
Author: Adam H. Sparks [aut, cre] , Tomislav Hengl [aut] , Andrew Nelson [aut] , Hugh Parsonage [cph, ctb] , Taras Kaduk [ctb] , Gwenael Giboire [ctb] , Lukasz Pawlik [ctb] , Ross Darnell [ctb] , Tyler Widdison [ctb] ` did not return stations in order of nea [...truncated...]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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Package cardargus readmission to version 0.2.2 with previous version 0.2.1 dated 2026-02-05

Title: Generate SVG Information Cards with Embedded Fonts and Badges
Description: Create self-contained SVG information cards with embedded 'Google Fonts', shields-style badges, and custom logos. Cards are fully portable SVG files ideal for dashboards, reports, and web applications. Includes functions to export cards to PNG format and display them in 'R Markdown' and 'Quarto' documents.
Author: Andre Leite [aut, cre], Hugo Vasconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package calcal updated to version 1.0.4 with previous version 1.0.3 dated 2026-02-25

Title: Calendrical Calculations
Description: An R implementation of the algorithms described in Reingold and Dershowitz (4th ed., Cambridge University Press, 2018) <doi:10.1017/9781107415058>, allowing conversion between many different calendar systems. Cultural and religious holidays from several calendars can be calculated.
Author: Rob Hyndman [aut, cre, cph] , Edward Reingold [cph, ctb] , Nachum Dershowitz [cph, ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package hexify updated to version 0.6.5 with previous version 0.3.9 dated 2026-02-04

Title: Equal-Area Hex Grids on the 'Snyder' 'ISEA' 'Icosahedron'
Description: Provides functions to build and use hexagonal discrete global grids using the 'Snyder' 'ISEA' projection ('Snyder' 1992 <doi:10.3138/27H7-8K88-4882-1752>) and the 'H3' hierarchical hexagonal system ('Uber' Technologies). Implements the 'ISEA' discrete global grid system ('Sahr', 'White' and 'Kimerling' 2003 <doi:10.1559/152304003100011090>). Includes a fast 'C++' core for 'ISEA' projection and aperture quantization, an included 'H3' v4.4.1 C library for native 'H3' grid operations, and 'sf'/'terra'-compatible R wrappers for grid generation and coordinate assignment. Output is compatible with 'dggridR' for interoperability.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package zoomgrid readmission to version 1.1.0 with previous version 1.0.0 dated 2019-01-03

Title: Grid Search Algorithm with a Zoom
Description: Implements a grid search algorithm with an adaptive zooming strategy for global optimisation problems with multiple local optima. The method recursively refines the search region around promising grid points, providing reliable initial values for subsequent optimisation procedures. The algorithm is computationally efficient in moderate- to high-dimensional settings.
Author: Yukai Yang [aut, cre]
Maintainer: Yukai Yang <yukai.yang@statistik.uu.se>

This is a re-admission after prior archival of version 1.0.0 dated 2019-01-03

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Package PCMBaseCpp updated to version 0.1.12 with previous version 0.1.11 dated 2025-05-04

Title: Fast Likelihood Calculation for Phylogenetic Comparative Models
Description: Provides a C++ backend for multivariate phylogenetic comparative models implemented in the R-package 'PCMBase'. Can be used in combination with 'PCMBase' to enable fast and parallel likelihood calculation. Implements the pruning likelihood calculation algorithm described in Mitov et al. (2020) <doi:10.1016/j.tpb.2019.11.005>. Uses the 'SPLITT' C++ library for parallel tree traversal described in Mitov and Stadler (2018) <doi:10.1111/2041-210X.13136>.
Author: Venelin Mitov [aut, cre, cph]
Maintainer: Venelin Mitov <vmitov@gmail.com>

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Package idiolect updated to version 1.2.0 with previous version 1.1.1 dated 2025-12-03

Title: Forensic Authorship Analysis
Description: Carry out comparative authorship analysis of disputed and undisputed texts within the Likelihood Ratio Framework for expressing evidence in forensic science. This package contains implementations of well-known algorithms for comparative authorship analysis, such as Smith and Aldridge's (2011) Cosine Delta <doi:10.1080/09296174.2011.533591> or Koppel and Winter's (2014) Impostors Method <doi:10.1002/asi.22954>, as well as functions to measure their performance and to calibrate their outputs into Log-Likelihood Ratios.
Author: Andrea Nini [aut, cre, cph] , David van Leeuwen [cph]
Maintainer: Andrea Nini <andrea.nini@manchester.ac.uk>

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Package RGraphSpace updated to version 1.1.1 with previous version 1.1.0 dated 2025-11-06

Title: A Lightweight Interface Between 'igraph' and 'ggplot2' Graphics
Description: Interface to integrate 'igraph' and 'ggplot2' graphics in a normalized coordinate system. 'RGraphSpace' implements new geometric objects using 'ggplot2' prototypes, customized for side-by-side visualization of multiple graphs. By scaling shapes and graph elements, 'RGraphSpace' helps to create layered visualizations that stay coherent across multiple graphs.
Author: Victor Apolonio [ctb], Vinicius Chagas [ctb], Mauro Castro [aut, cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package REDCapExporter updated to version 0.3.3 with previous version 0.3.2 dated 2025-07-29

Title: Automated Construction of R Data Packages from REDCap Projects
Description: Export all data, including metadata, from a REDCap (Research Electronic Data Capture) Project via the REDCap API <https://projectredcap.org/wp-content/resources/REDCapTechnicalOverview.pdf>. The exported (meta)data will be processed and formatted into a stand alone R data package which can be installed and shared between researchers. Several default reports are generated as vignettes in the resulting package.
Author: Peter DeWitt [aut, cre]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Package qwraps2 updated to version 0.6.2 with previous version 0.6.1 dated 2024-10-15

Title: Quick Wraps 2
Description: A collection of (wrapper) functions the creator found useful for quickly placing data summaries and formatted regression results into '.Rnw' or '.Rmd' files. Functions for generating commonly used graphics, such as receiver operating curves or Bland-Altman plots, are also provided by 'qwraps2'. 'qwraps2' is an updated version of a package 'qwraps'. The original version 'qwraps' was never submitted to CRAN but can be found at <https://github.com/dewittpe/qwraps/>. The implementation and limited scope of the functions within 'qwraps2' <https://github.com/dewittpe/qwraps2/> is fundamentally different from 'qwraps'.
Author: Peter DeWitt [aut, cre] , Tell Bennett [ctb]
Maintainer: Peter DeWitt <dewittpe@gmail.com>

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Package PathwaySpace updated to version 1.1.1 with previous version 1.1.0 dated 2025-11-06

Title: Spatial Projection of Network Signals along Geodesic Paths
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package then uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' could have various applications, such as visualizing network data in a graphical format that highlights the relationships and signal strengths between vertices. It can be particularly useful for understanding the influence of signals through complex networks. By combining graph theory, signal processing, and visualization, the 'PathwaySpace' package provides a novel way of representing graph data.
Author: Victor Apolonio [ctb], Vinicius Chagas [ctb], Sysbiolab and Collaborators [fnd], Mauro Castro [aut, cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package mixedBayes updated to version 0.2.1 with previous version 0.2.0 dated 2026-01-13

Title: Bayesian Longitudinal Regularized Quantile Mixed Model
Description: With high-dimensional omics features, repeated measure ANOVA leads to longitudinal gene-environment interaction studies that have intra-cluster correlations, outlying observations and structured sparsity arising from the ANOVA design. In this package, we have developed robust sparse Bayesian mixed effect models tailored for the above studies (Fan et al. (2025) <doi:10.1093/jrsssc/qlaf027>). An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in 'C++'. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.
Author: Kun Fan [aut, cre], Shejuty Devnath [aut], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

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Package MOsemiind updated to version 0.1.2 with previous version 0.1.0 dated 2025-02-04

Title: Marshall-Olkin Shock Models with Semi-Independent Time
Description: Provides tools for analyzing Marshall-Olkin shock models semi-independent time. It includes interactive 'shiny' applications for exploring copula-based dependence structures, along with functions for modeling and visualization. The methods are based on Mijanovic and Popovic (2024, submitted) "An R package for Marshall-Olkin shock models with semi-independent times."
Author: Andjela Mijanovic [aut, cre], Bozidar Popovic [aut]
Maintainer: Andjela Mijanovic <andjela.m@ucg.ac.me>

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Package magick updated to version 2.9.1 with previous version 2.9.0 dated 2025-09-08

Title: Advanced Graphics and Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. Also includes a graphics device for creating drawing onto images using pixel coordinates.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package kstMatrix updated to version 2.3-0 with previous version 2.2-1 dated 2026-01-23

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 developed 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>

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Package hypothesize updated to version 0.11.0 with previous version 0.10.0 dated 2025-12-11

Title: Consistent API for Hypothesis Testing
Description: Provides a consistent API for hypothesis testing built on principles from 'Structure and Interpretation of Computer Programs': data abstraction, closure (combining tests yields tests), and higher-order functions (transforming tests). Implements z-tests, Wald tests, likelihood ratio tests, Fisher's method for combining p-values, and multiple testing corrections. Designed for use by other packages that want to wrap their hypothesis tests in a consistent interface.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

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Package AHPWR updated to version 0.1.2 with previous version 0.1.0 dated 2022-12-06

Title: Compute Analytic Hierarchy Process
Description: Compute a tree level hierarchy, judgment matrix, consistency index and ratio, priority vectors, hierarchic synthesis and rank. Based on the book entitled "Models, Methods, Concepts and Applications of the Analytic Hierarchy Process" by Saaty and Vargas (2012, ISBN 978-1-4614-3597-6).
Author: Luciane Ferreira Alcoforado [aut, cre], Lyncoln Sousa [aut], Orlando Celso Longo [aut], Alessandra Simao [ctb], Steven Dutt Ross [ctb], Leonardo Filgueira [ctb]
Maintainer: Luciane Ferreira Alcoforado <lucianea@id.uff.br>

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Package AgeTopicModels updated to version 0.3.0 with previous version 0.1.0 dated 2025-10-21

Title: Inferring Age-Dependent Disease Topic from Diagnosis Data
Description: We propose an age-dependent topic modelling (ATM) model, providing a low-rank representation of longitudinal records of hundreds of distinct diseases in large electronic health record data sets. The model assigns to each individual topic weights for several disease topics; each disease topic reflects a set of diseases that tend to co-occur as a function of age, quantified by age-dependent topic loadings for each disease. The model assumes that for each disease diagnosis, a topic is sampled based on the individual’s topic weights (which sum to 1 across topics, for a given individual), and a disease is sampled based on the individual’s age and the age-dependent topic loadings (which sum to 1 across diseases, for a given topic at a given age). The model generalises the Latent Dirichlet Allocation (LDA) model by allowing topic loadings for each topic to vary with age. References: Jiang (2023) <doi:10.1038/s41588-023-01522-8>.
Author: Xilin Jiang [aut, cre]
Maintainer: Xilin Jiang <jiangxilin1@gmail.com>

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Package CompositionalRF updated to version 1.6 with previous version 1.4 dated 2025-09-07

Title: Multivariate Random Forest with Compositional Responses
Description: Multivariate random forests with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, or the alpha-transformation of Tsagris, Preston and Wood (2011), <doi:10.48550/arXiv.1106.1451>, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), <doi:10.1093/bioinformatics/btw765>, is applied.
Author: Michail Tsagris [aut, cre], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package sumer updated to version 1.2.0 with previous version 1.1.0 dated 2026-02-18

Title: Sumerian Cuneiform Text Analysis
Description: Provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters, creating and querying dictionaries, analyzing the structure of Sumerian words, and creating translations. Includes a built-in dictionary and supports both forward lookup (Sumerian to English) and reverse lookup (English to Sumerian).
Author: Robin Wellmann [aut, cre]
Maintainer: Robin Wellmann <ro.wellmann@gmail.com>

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Package mlr3db updated to version 0.7.1 with previous version 0.7.0 dated 2025-10-06

Title: Data Base Backend for 'mlr3'
Description: Extends the 'mlr3' package with a backend to transparently work with databases such as 'SQLite', 'DuckDB', 'MySQL', 'MariaDB', or 'PostgreSQL'. The package provides three additional backends: 'DataBackendDplyr' relies on the abstraction of package 'dbplyr' to interact with most DBMS. 'DataBackendDuckDB' operates on 'DuckDB' data bases and also on Apache Parquet files. 'DataBackendPolars' operates on 'Polars' data frames.
Author: Michel Lang [aut] , Lona Koers [aut], Marc Becker [cre, aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package phenology updated to version 2026.2.28 with previous version 2025.11.12 dated 2025-11-12

Title: Tools to Manage a Parametric Function that Describes Phenology and More
Description: Functions used to fit and test the phenology of species based on counts. Based on Girondot, M. (2010) <doi:10.3354/esr00292> for the phenology function, Girondot, M. (2017) <doi:10.1016/j.ecolind.2017.05.063> for the convolution of negative binomial, Girondot, M. and Rizzo, A. (2015) <doi:10.2993/etbi-35-02-337-353.1> for Bayesian estimate, Pfaller JB, ..., Girondot M (2019) <doi:10.1007/s00227-019-3545-x> for tag-loss estimate, Hancock J, ..., Girondot M (2019) <doi:10.1016/j.ecolmodel.2019.04.013> for nesting history, Laloe J-O, ..., Girondot M, Hays GC (2020) <doi:10.1007/s00227-020-03686-x> for aggregating several seasons.
Author: Marc Girondot [aut, cre]
Maintainer: Marc Girondot <marc.girondot@gmail.com>

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Package HelpersMG updated to version 2026.2.28 with previous version 2025.12.22 dated 2025-12-23

Title: Tools for Various R Functions Helpers
Description: Contains miscellaneous functions useful for managing 'NetCDF' files (see <https://en.wikipedia.org/wiki/NetCDF>), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.
Author: Marc Girondot [aut, cre]
Maintainer: Marc Girondot <marc.girondot@gmail.com>

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Package RcppNumerical updated to version 0.7-0 with previous version 0.6-0 dated 2023-09-06

Title: 'Rcpp' Integration for Numerical Computing Libraries
Description: A collection of open source libraries for numerical computing (numerical integration, optimization, etc.) and their integration with 'Rcpp'.
Author: Yixuan Qiu [aut, cre], Ralf Stubner [ctb] , Sreekumar Balan [aut] , Matt Beall [aut] , Mark Sauder [aut] , Naoaki Okazaki [aut] , Thomas Hahn [aut]
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package iterors updated to version 1.0.1 with previous version 1.0 dated 2023-05-18

Title: Fast, Compact Iterators and Tools
Description: A fresh take on iterators in R. Designed to be cross-compatible with the 'iterators' package, but using the 'nextOr' method will offer better performance as well as more compact code. With batteries included: includes a collection of iterator constructors and combinators ported and refined from the 'iterators', 'itertools', and 'itertools2' packages.
Author: Peter Meilstrup [cre, aut, cph], Folashade Daniel [aut], Revolution Analytics [aut, cph], Steve Weston [aut, cph], John A. Ramey [aut, cph], Kayla Schaefer [aut], Hadley Wickham [aut]
Maintainer: Peter Meilstrup <peter.meilstrup@gmail.com>

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Package xts updated to version 0.14.2 with previous version 0.14.1 dated 2024-10-15

Title: eXtensible Time Series
Description: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Ross Bennett [ctb], Corwin Joy [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

Diff between xts versions 0.14.1 dated 2024-10-15 and 0.14.2 dated 2026-02-28

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Package rmumps updated to version 5.2.1-37 with previous version 5.2.1-36 dated 2025-12-12

Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU (or LDL^t) factorization and system solving. Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'. 'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194> and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre], Emmanuel Agullo [ctb], Patrick Amestoy [ctb, cph], Maurice Bremond [ctb], Alfredo Buttari [ctb], Philippe Combes [ctb], Marie Durand [ctb], Aurelia Fevre [ctb], Abdou Guermouche [ctb], Guillaume Joslin [ctb], Jacko Koster [c [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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 src/lib/scotch_6.0.9/src/libscotch/vmesh_separate_fm.c   |    6 
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 src/rmumps_module.cpp                                    |   20 +
 tests/testthat.R                                         |    4 
 tests/testthat/test_rmumps.R                             |    2 
 79 files changed, 760 insertions(+), 716 deletions(-)

More information about rmumps at CRAN
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Package plsRcox updated to version 1.8.1 with previous version 1.8.0 dated 2025-09-14

Title: Partial Least Squares Regression for Cox Models and Related Techniques
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between plsRcox versions 1.8.0 dated 2025-09-14 and 1.8.1 dated 2026-02-28

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 R/plsRcox-package.R    |    5 -
 README.md              |  140 +++++++++++++++++++------------------------------
 build/partial.rdb      |binary
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 7 files changed, 74 insertions(+), 104 deletions(-)

More information about plsRcox at CRAN
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