Sat, 14 Feb 2026

Package causalOT updated to version 1.0.3 with previous version 1.0.2 dated 2024-02-18

Title: Optimal Transport Weights for Causal Inference
Description: Uses optimal transport distances to find probabilistic matching estimators for causal inference. These methods are described in Dunipace, Eric (2021) <doi:10.48550/arXiv.2109.01991>. The package will build the weights, estimate treatment effects, and calculate confidence intervals via the methods described in the paper. The package also supports several other methods as described in the help files.
Author: Eric Dunipace [aut, cre]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

Diff between causalOT versions 1.0.2 dated 2024-02-18 and 1.0.3 dated 2026-02-14

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Package hbamr updated to version 2.4.5 with previous version 2.4.4 dated 2025-08-18

Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Description: Perform hierarchical Bayesian Aldrich-McKelvey scaling using Hamiltonian Monte Carlo via 'Stan'. Aldrich-McKelvey ('AM') scaling is a method for estimating the ideological positions of survey respondents and political actors on a common scale using positional survey data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform other versions both in terms of yielding meaningful posterior distributions for respondent positions and in terms of recovering true respondent positions in simulations. The package contains functions for preparing data, fitting models, extracting estimates, plotting key results, and comparing models using cross-validation. The original version of the default model is described in Bølstad (2024) <doi:10.1017/pan.2023.18>.
Author: Joergen Boelstad [aut, cre]
Maintainer: Joergen Boelstad <jorgen.bolstad@stv.uio.no>

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Package growth updated to version 1.1.2 with previous version 1.1.1 dated 2019-02-04

Title: Multivariate Normal and Elliptically-Contoured Repeated Measurements Models
Description: Functions for fitting various normal theory (growth curve) and elliptically-contoured repeated measurements models with ARMA and random effects dependence.
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut]
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

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Package forecast updated to version 9.0.1 with previous version 9.0.0 dated 2026-01-11

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] , George Athanasopoulos [aut] , Christoph Bergmeir [aut] , Gabriel Caceres [aut] , Leanne Chhay [aut], Kirill Kuroptev [aut], Maximilian Muecke [aut] , Mitchell O'Hara-Wild [aut] , Fotios Petropoulos [aut] , Slava Razbash [ [...truncated...]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package metaplus updated to version 1.0-8 with previous version 1.0-6 dated 2025-01-23

Title: Robust Meta-Analysis and Meta-Regression
Description: Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
Author: Ken Beath [aut, cre], Ben Bolker [ctb], R Development Core Team [ctb]
Maintainer: Ken Beath <ken@kjbeath.id.au>

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Package xpect updated to version 1.1 with previous version 1.0 dated 2025-03-24

Title: Probabilistic Time Series Forecasting with XGBoost and Conformal Inference
Description: Implements a probabilistic approach to time series forecasting combining XGBoost regression with conformal inference methods. The package provides functionality for generating predictive distributions, evaluating uncertainty, and optimizing hyperparameters using Bayesian, coarse-to-fine, or random search strategies.
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

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Package LLMAgentR updated to version 0.3.2 with previous version 0.3.0 dated 2025-05-20

Title: Language Model Agents in R for AI Workflows and Research
Description: Provides modular, graph-based agents powered by large language models (LLMs) for intelligent task execution in R. Supports structured workflows for tasks such as forecasting, data visualization, feature engineering, data wrangling, data cleaning, 'SQL', code generation, weather reporting, and research-driven question answering. Each agent performs iterative reasoning: recommending steps, generating R code, executing, debugging, and explaining results. Includes built-in support for packages such as 'tidymodels', 'modeltime', 'plotly', 'ggplot2', and 'prophet'. Designed for analysts, developers, and teams building intelligent, reproducible AI workflows in R. Compatible with LLM providers such as 'OpenAI', 'Anthropic', 'Groq', and 'Ollama'. Inspired by the Python package 'langagent'.
Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre]
Maintainer: Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com>

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Package NAPrior updated to version 0.2.0 with previous version 0.1.1 dated 2026-01-20

Title: Network Meta-Analytic Predictive Prior for Mid-Trial SoC Changes
Description: Implements the Network meta-Analytic Predictive (NAP) prior framework to accommodate changes in the standard of care (SoC) during ongoing randomized controlled trials (RCTs). The method synthesizes pre- and post-change in-trial data by leveraging external evidence, particularly head-to-head trials comparing the original and new standards of care, to bridge the two evidence periods and enable principled borrowing. The package provides utilities to construct NAP-based priors and perform Bayesian inference for time-to-event endpoints using summarized trial evidence.
Author: Chunyi Zhang [aut, cre]
Maintainer: Chunyi Zhang <czhang12@mdanderson.org>

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Package ivolcano updated to version 0.0.5 with previous version 0.0.4 dated 2025-12-02

Title: Interactive Volcano Plot
Description: Generate interactive volcano plots for exploring gene expression data. Built with 'ggplot2', the plots are rendered interactive using 'ggiraph', enabling users to hover over points to display detailed information or click to trigger custom actions.
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package tirt updated to version 0.2.0 with previous version 0.1.3 dated 2026-02-06

Title: Testlet Item Response Theory
Description: Implementation of Testlet and Item Response Theory. A light-version yet comprehensive and streamlined framework for psychometric analysis using unidimensional Item Response Theory (IRT; Baker & Kim (2004) <doi:10.1201/9781482276725>) and Testlet Response Theory (TRT; Wainer et al., (2007) <doi:10.1017/CBO9780511618765>). Designed for researchers, this package supports the estimation of item and person parameters for a wide variety of models, including binary (i.e., Rasch, 2-Parameter Logistic, 3-Parameter Logistic) and polytomous (Partial Credit Model, Generalized Partial Credit Model, Graded Response Model) formats. It also supports the estimation of Testlet models (Rasch Testlet, 2-Parameter Logistic Testlet, 3-Parameter Logistic Testlet, Bifactor, Partial Credit Model Testlet, Graded Response), allowing users to account for local item dependence in bundled items. A key feature is the specialized support for combination use and joint estimation of item response model [...truncated...]
Author: Jiawei Xiong [aut, cre], Cheng Tang [ctb], Qidi Liu [ctb]
Maintainer: Jiawei Xiong <jiawei.xiong@uga.edu>

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Package doconv updated to version 0.4.0 with previous version 0.3.3 dated 2025-08-18

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

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Package spatialAtomizeR updated to version 0.2.6 with previous version 0.2.5 dated 2026-02-08

Title: Spatial Analysis with Misaligned Data Using Atom-Based Regression Models
Description: Implements atom-based regression models (ABRM) for analyzing spatially misaligned data. Provides functions for simulating misaligned spatial data, preparing NIMBLE model inputs, running MCMC diagnostics, and providing results. All main functions return S3 objects with print(), summary(), and plot() methods for intuitive result exploration. Methods originally described in Mugglin et al. (2000) <doi:10.1080/01621459.2000.10474279>, further investigated in Trevisani & Gelfand (2013), and applied in Nethery et al. (2023) <doi:10.1101/2023.01.10.23284410>.
Author: Yunzhe Qian [aut, cre], Rachel Nethery [aut], Nancy Krieger [ctb] , Nykesha Johnson [ctb]
Maintainer: Yunzhe Qian <qyzanemos@gmail.com>

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More information about spatialAtomizeR at CRAN
Permanent link

Package nycOpenData readmission to version 0.1.6 with previous version 0.1.5 dated 2026-01-25

Title: Convenient Access to NYC Open Data API Endpoints
Description: Provides a unified set of helper functions to access datasets from the NYC Open Data platform <https://opendata.cityofnewyork.us/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package includes endpoints for 311 service requests, DOB job applications, juvenile justice metrics, school safety, environmental data, event permitting, and additional citywide datasets.
Author: Christian Martinez [aut, cre] , Crystal Adote [ctb] , Jonah Dratfield [ctb] , Joyce Escatel-Flores [ctb] , Rob Hutto [ctb] , Isley Jean-Pierre [ctb] , Shannon Joyce [ctb] , Laura Rose-Werner [ctb] , Emma Tupone [ctb] , Xinru Wang [ctb]
Maintainer: Christian Martinez <c.martinez0@outlook.com>

This is a re-admission after prior archival of version 0.1.5 dated 2026-01-25

Diff between nycOpenData versions 0.1.5 dated 2026-01-25 and 0.1.6 dated 2026-02-14

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 nycOpenData-0.1.5/nycOpenData/R/nyc_dop_Juvenile_cases.R                                              |only
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 nycOpenData-0.1.5/nycOpenData/tests/testthat/nyc_city_record.R                                        |only
 nycOpenData-0.1.6/nycOpenData/DESCRIPTION                                                             |   64 +-
 nycOpenData-0.1.6/nycOpenData/MD5                                                                     |  314 +++++++---
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 nycOpenData-0.1.6/nycOpenData/R/nyc_311.R                                                             |   58 -
 nycOpenData-0.1.6/nycOpenData/R/nyc_311_2010_2019.R                                                   |   57 -
 nycOpenData-0.1.6/nycOpenData/R/nyc_any_dataset.R                                                     |    6 
 nycOpenData-0.1.6/nycOpenData/R/nyc_borough_community_report.R                                        |   17 
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 nycOpenData-0.1.6/nycOpenData/R/nyc_cause_of_death.R                                                  |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_city_record.R                                                     |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_civil_service_list.R                                              |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_daily_attendance_2018_2019.R                                      |   18 
 nycOpenData-0.1.6/nycOpenData/R/nyc_detention_admissions.R                                            |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_dhs_daily_report.R                                                |   16 
 nycOpenData-0.1.6/nycOpenData/R/nyc_dob_job_applications.R                                            |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_dob_permit_issuance.R                                             |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_domestic_violence_annual_report.R                                 |   19 
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 nycOpenData-0.1.6/nycOpenData/R/nyc_film_permits.R                                                    |   16 
 nycOpenData-0.1.6/nycOpenData/R/nyc_for_hire_vehicles.R                                               |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_ha_violations.R                                                   |only
 nycOpenData-0.1.6/nycOpenData/R/nyc_homeless_drop_in_centers.R                                        |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_homeless_population_by_year.R                                     |   15 
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 nycOpenData-0.1.6/nycOpenData/R/nyc_medallion_drivers_active.R                                        |   18 
 nycOpenData-0.1.6/nycOpenData/R/nyc_medallion_drivers_authorized.R                                    |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_motor_vehicle_collisions_crashes.R                                |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_museum_locations.R                                                |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_nypd_hate_crimes.R                                                |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_open_parking_camera_violations.R                                  |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_period_attendance_reporting.R                                     |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_permit_events_historic.R                                          |   13 
 nycOpenData-0.1.6/nycOpenData/R/nyc_pets_in_shelters.R                                                |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_restaurant_inspection_results.R                                   |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_runaway_and_homeless_youth_daily_census.R                         |   18 
 nycOpenData-0.1.6/nycOpenData/R/nyc_school_discharge.R                                                |   18 
 nycOpenData-0.1.6/nycOpenData/R/nyc_school_discharge_report_2013_2015.R                               |   18 
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 nycOpenData-0.1.6/nycOpenData/R/nyc_street_hail_livery_active.R                                       |   18 
 nycOpenData-0.1.6/nycOpenData/R/nyc_tlc_new_driver_app_status.R                                       |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_tree_census_2015.R                                                |   15 
 nycOpenData-0.1.6/nycOpenData/R/nyc_urban_park_animal_condition.R                                     |   18 
 nycOpenData-0.1.6/nycOpenData/R/nyc_violent_disruptive_school_incidents.R                             |   18 
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 nycOpenData-0.1.6/nycOpenData/R/utils_request.R                                                       |   46 +
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 nycOpenData-0.1.6/nycOpenData/man/nyc_311.Rd                                                          |    8 
 nycOpenData-0.1.6/nycOpenData/man/nyc_311_2010_2019.Rd                                                |    8 
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 nycOpenData-0.1.6/nycOpenData/man/nyc_detention_admissions.Rd                                         |    8 
 nycOpenData-0.1.6/nycOpenData/man/nyc_dhs_daily_report.Rd                                             |    8 
 nycOpenData-0.1.6/nycOpenData/man/nyc_dob_job_applications.Rd                                         |    8 
 nycOpenData-0.1.6/nycOpenData/man/nyc_dob_permit_issuance.Rd                                          |    8 
 nycOpenData-0.1.6/nycOpenData/man/nyc_domestic_violence_annual_report.Rd                              |   11 
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 nycOpenData-0.1.6/nycOpenData/man/nyc_film_permits.Rd                                                 |    9 
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 nycOpenData-0.1.6/nycOpenData/man/nyc_motor_vehicle_collisions_crashes.Rd                             |    8 
 nycOpenData-0.1.6/nycOpenData/man/nyc_museum_locations.Rd                                             |    8 
 nycOpenData-0.1.6/nycOpenData/man/nyc_nypd_hate_crimes.Rd                                             |    8 
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 nycOpenData-0.1.6/nycOpenData/man/nyc_permit_events_historic.Rd                                       |    6 
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 nycOpenData-0.1.6/nycOpenData/man/nyc_restaurant_inspection_results.Rd                                |    8 
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 nycOpenData-0.1.6/nycOpenData/man/nyc_tree_census_2015.Rd                                             |    8 
 nycOpenData-0.1.6/nycOpenData/man/nyc_urban_park_animal_condition.Rd                                  |    8 
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Package MHCtools updated to version 1.6.0 with previous version 1.5.5 dated 2025-01-18

Title: Analysis of MHC Data in Non-Model Species
Description: Sixteen tools for bioinformatics processing and analysis of major histocompatibility complex (MHC) data. The functions are tailored for amplicon data sets that have been filtered using the dada2 method (for more information on dada2, visit <https://benjjneb.github.io/dada2/> ), but even other types of data sets can be analyzed. The ReplMatch() function matches replicates in data sets in order to evaluate genotyping success. The GetReplTable() and GetReplStats() functions perform such an evaluation. The CreateFas() function creates a fasta file with all the sequences in the data set. The CreateSamplesFas() function creates individual fasta files for each sample in the data set. The DistCalc() function calculates Grantham, Sandberg, or p-distances from pairwise comparisons of all sequences in a data set, and mean distances of all pairwise comparisons within each sample in a data set. The function additionally outputs five tables with physico-chemical z-descriptor values (based on S [...truncated...]
Author: Jacob Roved [aut, cre]
Maintainer: Jacob Roved <jacob.roved@biol.lu.se>

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Package trajectories updated to version 0.2-10 with previous version 0.2-9 dated 2024-09-04

Title: Classes and Methods for Trajectory Data
Description: Classes and methods for trajectory data, with support for nesting individual Track objects in track sets (Tracks) and track sets for different entities in collections of Tracks. Methods include selection, generalization, aggregation, intersection, simulation, and plotting.
Author: Edzer Pebesma [aut, cre] , Benedikt Klus [aut], Benedikt Graeler [ctb], Nikolai Gorte [ctb], Mehdi Moradi [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package plotor updated to version 1.0.0 with previous version 0.8.0 dated 2025-12-08

Title: Odds Ratio Tools for Logistic Regression
Description: Produces odds ratio analyses with comprehensive reporting tools. Generates plots, summary tables, and diagnostic checks for logistic regression models fitted with 'glm()' using binomial family. Provides visualisation methods, formatted reporting tables via 'gt', and tools to assess logistic regression model assumptions.
Author: Craig Parylo [aut, cre, cph]
Maintainer: Craig Parylo <craig.parylo2@nhs.net>

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Package bgms updated to version 0.1.6.3 with previous version 0.1.6.2 dated 2026-01-20

Title: Bayesian Analysis of Networks of Binary and/or Ordinal Variables
Description: Bayesian variable selection methods for analyzing the structure of a Markov random field model for a network of binary and/or ordinal variables.
Author: Maarten Marsman [aut, cre] , Don van den Bergh [aut] , Nikola Sekulovski [ctb] , Giuseppe Arena [ctb] , Laura Groot [ctb], Gali Geller [ctb]
Maintainer: Maarten Marsman <m.marsman@uva.nl>

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Package inshiny updated to version 0.1.2 with previous version 0.1.1 dated 2025-12-03

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

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Package taxize readmission to version 0.10.1 with previous version 0.10.0 dated 2025-02-07

Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web application programming interfaces (API) for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more. Some of the services supported include 'NCBI E-utilities' (<https://www.ncbi.nlm.nih.gov/books/NBK25501/>), 'Encyclopedia of Life' (<https://eol.org/docs/what-is-eol/data-services>), 'Global Biodiversity Information Facility' (<https://techdocs.gbif.org/en/openapi/>), and many more. Links to the API documentation for other supported services are available in the documentation for their respective functions in this package.
Author: Scott Chamberlain [aut], Eduard Szoecs [aut], Zachary Foster [aut, cre], Zebulun Arendsee [aut], Carl Boettiger [ctb], Karthik Ram [ctb], Ignasi Bartomeus [ctb], John Baumgartner [ctb], James O'Donnell [ctb], Jari Oksanen [ctb], Bastian Greshake Tzov [...truncated...]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

This is a re-admission after prior archival of version 0.10.0 dated 2025-02-07

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Package shinyOAuth updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-30

Title: Provider-Agnostic OAuth Authentication for 'shiny' Applications
Description: Provides a simple, configurable, provider-agnostic 'OAuth 2.0' and 'OpenID Connect' (OIDC) authentication framework for 'shiny' applications using 'S7' classes. Defines providers, clients, and tokens, as well as various supporting functions and a 'shiny' module. Features include cross-site request forgery (CSRF) protection, state encryption, 'Proof Key for Code Exchange' (PKCE) handling, validation of OIDC identity tokens (nonces, signatures, claims), automatic user info retrieval, asynchronous flows, and hooks for audit logging.
Author: Luka Koning [aut, cre, cph]
Maintainer: Luka Koning <koningluka@gmail.com>

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Package rtodoist updated to version 0.4.0 with previous version 0.2.0 dated 2026-01-22

Title: Create and Manage Todolist using 'Todoist.com' API
Description: Allows you to interact with the API of the "Todoist" platform. 'Todoist' <https://www.todoist.com/> provides an online task manager service for teams.
Author: Cervan Girard [aut] , Vincent Guyader [cre, aut] , ThinkR [cph, fnd]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

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Package nascaR.data updated to version 3.0.0 with previous version 2.2.3 dated 2025-09-11

Title: NASCAR Race Data
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NXS, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and is updated weekly during the racing season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.
Author: Kyle Grealis [aut, cre] , Nick Triplett [ctb], Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kylegrealis@proton.me>

Diff between nascaR.data versions 2.2.3 dated 2025-09-11 and 3.0.0 dated 2026-02-14

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Package MOSAlloc readmission to version 1.2.5 with previous version 1.2.4 dated 2026-02-07

Title: Constraint Multiobjective Sample Allocation
Description: Provides a framework for multipurpose optimal resource allocation in survey sampling, extending the classical optimal allocation principles introduced by Tschuprow (1923) and Neyman (1934) to multidomain and multivariate allocation problems. The primary method mosalloc() allows for the consideration of precision and cost constraints at the subpopulation level while minimizing either a vector of sampling errors or survey costs across a broad range of optimal sample allocation problems. The approach supports both single- and multistage designs. For single-stage stratified random sampling, the mosallocSTRS() function offers a user- friendly interface. Sensitivity analysis is supported through the problem's dual variables, which are naturally obtained via the internal use of the Embedded Conic Solver from the 'ECOSolveR' package. See Willems (2025, <doi:10.25353/ubtr-9200-484c-5c89>) for a detailed description of the theory behind 'MOSAlloc'.
Author: Felix Willems [aut, cre] , Ralf Muennich [ths]
Maintainer: Felix Willems <mail.willemsf+MOSAlloc@gmail.com>

This is a re-admission after prior archival of version 1.2.4 dated 2026-02-07

Diff between MOSAlloc versions 1.2.4 dated 2026-02-07 and 1.2.5 dated 2026-02-14

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Package flexlsx updated to version 1.0.0 with previous version 0.3.5 dated 2025-04-25

Title: Exporting 'flextable' to 'xlsx' Files
Description: Exports 'flextable' objects to 'xlsx' files, utilizing functionalities provided by 'flextable' and 'openxlsx2'.
Author: Tobias Heidler [aut, cre, cph]
Maintainer: Tobias Heidler <flexlsx@heidler.ovh>

Diff between flexlsx versions 0.3.5 dated 2025-04-25 and 1.0.0 dated 2026-02-14

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Package EBCHS updated to version 0.1.1 with previous version 0.1.0 dated 2021-06-01

Title: An Empirical Bayes Method for Chi-Squared Data
Description: We provide the main R functions to compute the posterior interval for the noncentrality parameter of the chi-squared distribution. The skewness estimate of the posterior distribution is also available to improve the coverage rate of posterior intervals. Details can be found in Du and Hu (2022) <doi:10.1080/01621459.2020.1777137>.
Author: Lilun Du [aut, cre], Inchi Hu [aut]
Maintainer: Lilun Du <lilundu@cityu.edu.hk>

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Package bdrc updated to version 2.0.0 with previous version 1.1.0 dated 2023-03-19

Title: Bayesian Discharge Rating Curves
Description: Fits a discharge rating curve based on the power-law and the generalized power-law from data on paired stage and discharge measurements in a given river using a Bayesian hierarchical model as described in Hrafnkelsson et al. (2020) <doi:10.48550/arXiv.2010.04769>.
Author: Birgir Hrafnkelsson [aut, cph] , Solvi Rognvaldsson [aut] , Rafael Daniel Vias [aut, cre] , Axel Orn Jansson [aut]
Maintainer: Rafael Daniel Vias <raffidv@gmail.com>

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Package semTools updated to version 0.5-8 with previous version 0.5-7 dated 2025-03-13

Title: Useful Tools for Structural Equation Modeling
Description: Provides miscellaneous tools for structural equation modeling, many of which extend the 'lavaan' package. For example, latent interactions can be estimated using product indicators (Lin et al., 2010, <doi:10.1080/10705511.2010.488999>) and simple effects probed; analytical power analyses can be conducted (Jak et al., 2021, <doi:10.3758/s13428-020-01479-0>); and scale reliability can be estimated based on estimated factor-model parameters.
Author: Terrence D. Jorgensen [aut, cre] , Sunthud Pornprasertmanit [aut] , Alexander M. Schoemann [aut] , Yves Rosseel [aut] , Patrick Miller [ctb], Corbin Quick [ctb], Mauricio Garnier-Villarreal [ctb] , James Selig [ctb], Aaron Boulton [ctb], Kristopher P [...truncated...]
Maintainer: Terrence D. Jorgensen <TJorgensen314@gmail.com>

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Package winch updated to version 0.1.3 with previous version 0.1.2 dated 2025-05-01

Title: Portable Native and Joint Stack Traces
Description: Obtain the native stack trace and fuse it with R's stack trace for easier debugging of R packages with native code.
Author: Kirill Mueller [aut, cre] , R Consortium [fnd], Ian Lance Taylor [aut] , Free Software Foundation [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package marginaleffects updated to version 0.32.0 with previous version 0.31.0 dated 2025-11-14

Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <doi:10.18637/jss.v111.i09>.
Author: Vincent Arel-Bundock [aut, cre, cph] , Noah Greifer [ctb] , Etienne Bacher [ctb] , Grant McDermott [ctb] , Andrew Heiss [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package keras updated to version 2.16.1 with previous version 2.16.0 dated 2025-08-18

Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
Author: Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Francois Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] , Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigrid [...truncated...]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package fastTopics updated to version 0.7-38 with previous version 0.7-37 dated 2025-12-23

Title: Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data
Description: Implements fast, scalable optimization algorithms for fitting topic models ("grade of membership" models) and non-negative matrix factorizations to count data. The methods exploit the special relationship between the multinomial topic model (also, "probabilistic latent semantic indexing") and Poisson non-negative matrix factorization. The package provides tools to compare, annotate and visualize model fits, including functions to efficiently create "structure plots" and identify key features in topics. The 'fastTopics' package is a successor to the 'CountClust' package. For more information, see <doi:10.48550/arXiv.2105.13440> and <doi:10.1186/s13059-023-03067-9>. Please also see the GitHub repository for additional vignettes not included in the package on CRAN.
Author: Peter Carbonetto [aut, cre], Kevin Luo [aut], Kushal Dey [aut], Joyce Hsiao [ctb], Abhishek Sarkar [ctb], Anthony Hung [ctb], Xihui Lin [ctb], Paul C. Boutros [ctb], Minzhe Wang [ctb], Tracy Ke [ctb], Eric Weine [ctb], Matthew Stephens [aut]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>

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Package apa (with last version 0.3.4) was removed from CRAN

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2023-10-06 0.3.4

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Package trafficCAR (with last version 0.1.0) was removed from CRAN

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

2026-01-27 0.1.0

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Fri, 13 Feb 2026

Package iNZightTS updated to version 2.0.4 with previous version 2.0.3 dated 2026-01-16

Title: Time Series for 'iNZight'
Description: Provides a collection of functions for working with time series data, including functions for drawing, decomposing, and forecasting. Includes capabilities to compare multiple series and fit both additive and multiplicative models. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Holt (1957) <doi:10.1016/j.ijforecast.2003.09.015>, Winters (1960) <doi:10.1287/mnsc.6.3.324>, Cleveland, Cleveland, & Terpenning (1990) "STL: A Seasonal-Trend Decomposition Procedure Based on Loess".
Author: Tom Elliott [aut, cre] , Zhaoming Su [aut], Junjie Zeng [ctb], Simon Potter [ctb], David Banks [ctb], Marco Kuper [ctb], Dongning Zhang [ctb]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

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Package mascarade updated to version 0.3.1 with previous version 0.3.0 dated 2026-01-12

Title: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Description: Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>

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Package BLSloadR updated to version 0.4 with previous version 0.2 dated 2025-11-25

Title: Download Time Series Data from the U.S. Bureau of Labor Statistics
Description: These functions provide a convenient interface for downloading data from the U.S. Bureau of Labor Statistics <https://www.bls.gov>. The functions in this package utilize flat files produced by the Bureau of Labor Statistics, which contain full series history. These files include employment, unemployment, wages, prices, industry and occupational data at a national, state, and sub-state level, depending on the series. Individual functions are included for those programs which have data available at the state level. The core functions provide direct access to the Current Employment Statistics (CES) <https://www.bls.gov/ces/>, Local Area Unemployment Statistics (LAUS) <https://www.bls.gov/lau/>, Occupational Employment and Wage Statistics (OEWS) <https://www.bls.gov/oes/> and Alternative Measures of Labor Underutilization (SALT) <https://www.bls.gov/lau/stalt.htm> data produced by the Bureau of Labor Statistics.
Author: Nevada Department of Employment, Training, and Rehabilitation [cph], David Schmidt [aut, cre], Mark Rembert [aut]
Maintainer: David Schmidt <deschmidt@detr.nv.gov>

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Package FCO updated to version 2.0.1 with previous version 2.0.0 dated 2025-09-25

Title: Flexible Cutoffs for Model Fit Evaluation in Covariance-Based Structural Models
Description: A toolbox to derive flexible cutoffs for fit indices in 'Covariance-based Structural Equation Modeling' based on the paper by 'Niemand & Mai (2018)' <doi:10.1007/s11747-018-0602-9>. Flexible cutoffs are an alternative to fixed cutoffs - rules-of-thumb - regarding an appropriate cutoff for fit indices such as 'CFI' or 'SRMR'. It has been demonstrated that these flexible cutoffs perform better than fixed cutoffs in grey areas where misspecification is not easy to detect. The package provides an alternative to the tool at <https://flexiblecutoffs.org> as it allows to tailor flexible cutoffs to a given dataset and model, which is so far not available in the tool. The package simulates fit indices based on a given dataset and model and then estimates the flexible cutoffs. Some useful functions, e.g., to determine the 'GoF-' or 'BoF-nature' of a fit index, are provided. So far, additional options for a relative use (is a model better than another?) are provided in an explorat [...truncated...]
Author: Thomas Niemand [aut, cre] , Robert Mai [ctb] , Nadine Schroeder [ctb] , Andreas Falke [ctb]
Maintainer: Thomas Niemand <thomas.niemand@gmail.com>

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Package ulex updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-17

Title: Unique Location Extractor
Description: Extracts coordinates of an event location from text based on dictionaries of landmarks, roads, and areas. Only returns the location of an event of interest and ignores other location references; for example, if determining the location of a road traffic crash from the text "crash near [location 1] heading towards [location 2]", only the coordinates of "location 1" would be returned. Moreover, accounts for differences in spelling between how a user references a location and how a location is captured in location dictionaries. For more information on the algorithm, see Milusheva et al. (2021) <doi:10.1371/journal.pone.0244317>.
Author: Robert Marty [aut, cre]
Maintainer: Robert Marty <rmarty@worldbank.org>

Diff between ulex versions 0.1.0 dated 2024-06-17 and 0.1.1 dated 2026-02-13

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Package quickOutlier updated to version 0.1.5 with previous version 0.1.0 dated 2025-12-19

Title: Detect and Treat Outliers in Data Mining
Description: Implements a suite of tools for outlier detection and treatment in data mining. It includes univariate methods (Z-score, Interquartile Range), multivariate detection using Mahalanobis distance, and density-based detection (Local Outlier Factor) via the 'dbscan' package. It also provides functions for visualization using 'ggplot2' and data cleaning via Winsorization.
Author: Daniel Lopez Perez [aut, cre]
Maintainer: Daniel Lopez Perez <dlopez350@icloud.com>

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Package LogicForest updated to version 2.1.3 with previous version 2.1.2 dated 2025-07-14

Title: Logic Forest
Description: Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.
Author: Bethany Wolf [aut], Melica Nikahd [ctb, cre], Andrew Gothard [ctb], Madison Hyer [ctb]
Maintainer: Melica Nikahd <melica.nikahd@osumc.edu>

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Package invitroTKdata updated to version 0.0.2 with previous version 0.0.1 dated 2025-08-19

Title: In Vitro Toxicokinetic Data Processed with the 'invitroTKstats' Pipeline
Description: A collection of datasets containing a variety of in vitro toxicokinetic measurements including -- but not limited to -- chemical fraction unbound in the presence of plasma (f_up), intrinsic hepatic clearance (Clint, uL/min/million hepatocytes), and membrane permeability for oral absorption (Caco2). The datasets provided by the package were processed and analyzed with the companion 'invitroTKstats' package.
Author: Sarah E. Davidson-Fritz [aut] , Caroline Ring [cre] , John Wambaugh [aut] , Lindsay Knupp [ctb], Barbara A. Wetmore [ctb] , Anna Kreutz [ctb] , Marci Smeltz [ctb] , David Crizer [ctb], U.S. Federal Government [cph]
Maintainer: Caroline Ring <ring.caroline@epa.gov>

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Package googletraffic updated to version 0.1.8 with previous version 0.1.7 dated 2024-09-04

Title: Google Traffic
Description: Create geographically referenced traffic data from the Google Maps JavaScript API <https://developers.google.com/maps/documentation/javascript/examples/layer-traffic>.
Author: Robert Marty [aut, cre]
Maintainer: Robert Marty <rmarty@worldbank.org>

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Package fcaR updated to version 1.5.0 with previous version 1.3.0 dated 2026-01-12

Title: Formal Concept Analysis
Description: Provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23> and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>. It provides functions to load and save a formal context, extract its concept lattice and implications. In addition, one can use the implications to compute semantic closures of fuzzy sets and, thus, build recommendation systems. Matrix factorization is provided by the GreConD+ algorithm (Belohlavek and Trneckova, 2024 <doi:10.1109/TFUZZ.2023.3330760>).
Author: Domingo Lopez Rodriguez [aut, cre] , Angel Mora [aut], Jesus Dominguez [aut], Ana Villalon [aut]
Maintainer: Domingo Lopez Rodriguez <dominlopez78@gmail.com>

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Package tseriesTARMA updated to version 0.5-2 with previous version 0.5-1 dated 2024-10-08

Title: Analysis of Nonlinear Time Series Through Threshold Autoregressive Moving Average Models (TARMA) Models
Description: Routines for nonlinear time series analysis based on Threshold Autoregressive Moving Average (TARMA) models. It provides functions and methods for: TARMA model fitting and forecasting, including robust estimators, see Goracci et al. JBES (2025) <doi:10.1080/07350015.2024.2412011>; tests for threshold effects, see Giannerini et al. JoE (2024) <doi:10.1016/j.jeconom.2023.01.004>, Goracci et al. Statistica Sinica (2023) <doi:10.5705/ss.202021.0120>, Angelini et al. (2024) OBES <doi:10.1111/obes.12647>; unit-root tests based on TARMA models, see Chan et al. Statistica Sinica (2024) <doi:10.5705/ss.202022.0125>.
Author: Simone Giannerini [aut, cre] , Greta Goracci [aut]
Maintainer: Simone Giannerini <simone.giannerini@uniud.it>

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Package rsynthbio updated to version 4.0.1 with previous version 4.0.0 dated 2025-12-03

Title: Synthesize Bio API Wrapper
Description: Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.
Author: Synthesize Bio [aut, cre]
Maintainer: Synthesize Bio <candace@synthesize.bio>

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Package graphPAF readmission to version 2.0.1 with previous version 2.0.0 dated 2023-12-20

Title: Estimating and Displaying Population Attributable Fractions
Description: Estimation and display of various types of population attributable fraction and impact fractions. As well as the usual calculations of attributable fractions and impact fractions, functions are provided for attributable fraction nomograms and fan plots, continuous exposures, for pathway specific population attributable fractions, and for joint, average and sequential population attributable fractions.
Author: John Ferguson [aut, cre]
Maintainer: John Ferguson <john.ferguson@universityofgalway.ie>

This is a re-admission after prior archival of version 2.0.0 dated 2023-12-20

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Package xegaSelectGene updated to version 1.0.0.4 with previous version 1.0.0.3 dated 2025-04-16

Title: Selection of Genes and Gene Representation Independent Functions
Description: This collection of gene representation-independent mechanisms for evolutionary and genetic algorithms for the R-package xega <https://CRAN.R-project.org/package=xega> contains four groups of functions: First, functions for selecting a gene in a population of genes according to its fitness value and for adaptive scaling of the fitness values as well as for performance optimization and measurement offer several variants for implementing the survival of the fittest. Second, evaluation functions for deterministic functions avoid recomputation. Evaluation of stochastic functions incrementally improve the estimation of the mean and variance of fitness values at almost no additional cost. Evaluation functions for gene repair handle error-correcting decoders. Third, timing and counting functions for profiling the algorithm pipeline are provided to assess bottlenecks in the algorithms. Fourth, a small collection of problem environments for function optimization, combinatorial optimization [...truncated...]
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

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Package Spower updated to version 0.6 with previous version 0.5.1 dated 2025-11-27

Title: Power Analyses using Monte Carlo Simulations
Description: Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation experiment variants of (expected) prospective power analyses, criterion analyses, compromise analyses, sensitivity analyses, and a priori/post-hoc analyses. The default simulation experiment functions defined within the package provide stochastic variants of the power analysis subroutines in G*Power 3.1 (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other parametric and non-parametric power analysis applications (e.g., mediation analyses) and support for Bayesian power analysis by way of Bayes factors or posterior probability evaluations. Additional functions for building empirical power curves, reanalyzing simulation information, and for increasing the precision of the resulting power estimates are also included, each of which utilize similar API structures. [...truncated...]
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package shapley updated to version 0.6.0 with previous version 0.5.1 dated 2025-09-18

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 plotrix updated to version 3.8-14 with previous version 3.8-13 dated 2025-11-14

Title: Various Plotting Functions
Description: Lots of plots, various labeling, axis and color scaling functions. The author/maintainer died in September 2023.
Author: Jim Lemon [aut], Ben Bolker [ctb], Sander Oom [ctb], Eduardo Klein [ctb], Barry Rowlingson [ctb], Hadley Wickham [ctb], Anupam Tyagi [ctb], Olivier Eterradossi [ctb], Gabor Grothendieck [ctb], Michael Toews [ctb], John Kane [ctb], Rolf Turner [ctb], [...truncated...]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package later updated to version 1.4.6 with previous version 1.4.5 dated 2026-01-08

Title: Utilities for Scheduling Functions to Execute Later with Event Loops
Description: Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop.
Author: Winston Chang [aut] , Joe Cheng [aut], Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Marcus Geelnard [ctb, cph] , Evan Nemerson [ctb, cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package haplo.stats updated to version 1.9.8.2 with previous version 1.9.7.1 dated 2026-02-12

Title: Statistical Analysis of Haplotypes with Traits and Covariates when Linkage Phase is Ambiguous
Description: Routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.
Author: Schaid Daniel [aut], Jason P. Sinnwell [aut, cre]
Maintainer: Jason P. Sinnwell <sinnwell.jason@mayo.edu>

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Package gstat updated to version 2.1-5 with previous version 2.1-4 dated 2025-07-10

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.
Author: Edzer Pebesma [aut, cre] , Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package DendSer updated to version 1.0.3 with previous version 1.0.2 dated 2022-04-28

Title: Dendrogram Seriation: Ordering for Visualisation
Description: Re-arranges a dendrogram to optimize visualisation-based cost functions. The methods implemented here are described in "Advances in Dendrogram Seriation for Application to Visualization", Journal of Computational and Graphical Statistics (2015) D. Earle and C.B. Hurley <doi:10.1080/10618600.2013.874295>.
Author: Catherine B. Hurley [aut], Denise Earle [aut], Catherine Hurley [cre]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>

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Package codebookr readmission to version 0.1.9 with previous version 0.1.8 dated 2024-02-19

Title: Create Codebooks from Data Frames
Description: Quickly and easily create codebooks (i.e. data dictionaries) directly from a data frame.
Author: Brad Cannell [aut, cre, cph]
Maintainer: Brad Cannell <brad.cannell@gmail.com>

This is a re-admission after prior archival of version 0.1.8 dated 2024-02-19

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Package bunddev updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-08

Title: Discover and Call 'Bund.dev' APIs
Description: Provides a registry of APIs listed on <https://bund.dev> and a core 'OpenAPI' client layer to explore specs and perform requests. Adapter helpers return tidy tibbles for supported APIs, with optional response caching and rate limiting guidance.
Author: Michael Buecker [aut, cre]
Maintainer: Michael Buecker <michael.buecker@fh-muenster.de>

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Package bayou readmission to version 2.3.2 with previous version 2.3.1 dated 2025-06-10

Title: Bayesian Fitting of Ornstein-Uhlenbeck Models to Phylogenies
Description: Fits and simulates multi-optima Ornstein-Uhlenbeck models to phylogenetic comparative data using Bayesian reversible-jump methods. See Uyeda and Harmon (2014) <DOI:10.1093/sysbio/syu057>.
Author: Josef C. Uyeda [aut, cre] , Jon Eastman [ctb], Luke Harmon [ctb] , Abhishek Hari [ctb]
Maintainer: Josef C. Uyeda <juyeda@vt.edu>

This is a re-admission after prior archival of version 2.3.1 dated 2025-06-10

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New package tidyILD with initial version 0.0.1
Package: tidyILD
Title: Tidy Intensive Longitudinal Data Analysis
Version: 0.0.1
Description: An opinionated, tidyverse-native toolkit for intensive longitudinal data (ILD). Encodes time structure, enforces within-between decomposition, provides spacing-aware lags, and integrates diagnostics and visualization. Use ild_prepare(), ild_center(), ild_lag(), and related functions for a unified pipeline from raw EMA/diary data to interpretable models.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: tibble, dplyr, lubridate, rlang, lme4, nlme, ggplot2
Suggests: testthat (>= 3.0.0), roxygen2, knitr, broom.mixed
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-11 19:46:04 UTC; alexanderlitovchenko
Author: Alex Litovchenko [aut, cre]
Maintainer: Alex Litovchenko <al4877@columbia.edu>
Repository: CRAN
Date/Publication: 2026-02-13 16:40:02 UTC

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Package sdafilter readmission to version 1.0.1 with previous version 1.0.0 dated 2020-03-19

Title: Symmetrized Data Aggregation
Description: We develop a new class of distribution free multiple testing rules for false discovery rate (FDR) control under general dependence. A key element in our proposal is a symmetrized data aggregation (SDA) approach to incorporating the dependence structure via sample splitting, data screening and information pooling. The proposed SDA filter first constructs a sequence of ranking statistics that fulfill global symmetry properties, and then chooses a data driven threshold along the ranking to control the FDR. For more information, see the website below and the accompanying paper: Du et al. (2023), "False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation", <doi:10.1080/01621459.2021.1945459>. Some optional functionality uses the archived R packages ‘huge’ and ‘pfa’, which are not available from CRAN’s main repositories. Users who need this optional functionality can obtain them from the CRAN Archive as follows: ‘huge’ at <https://cran.r-project.org/src/c [...truncated...]
Author: Lilun Du [aut, cre], Xu Guo [aut], Wenguang Sun [aut], Changliang Zou [aut]
Maintainer: Lilun Du <lilundu@cityu.edu.hk>

This is a re-admission after prior archival of version 1.0.0 dated 2020-03-19

Diff between sdafilter versions 1.0.0 dated 2020-03-19 and 1.0.1 dated 2026-02-13

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New package scholid with initial version 0.1.0
Package: scholid
Title: Tools for Scholarly and Academic Identifiers
Version: 0.1.0
Language: en-US
Description: Tools for detecting, normalizing, classifying, and extracting scholarly identifier strings. The package provides lightweight, dependency-free helpers for common identifier systems such as DOIs, ORCID iDs, ISBNs, ISSNs, arXiv identifiers, and PubMed identifiers. Functions are designed to be vectorized, predictable, and suitable as low-level building blocks for other R packages and data workflows.
License: MIT + file LICENSE
URL: https://thomas-rauter.github.io/scholid/
BugReports: https://github.com/Thomas-Rauter/scholid/issues
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), knitr (>= 1.30), rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-11 12:22:02 UTC; thomas
Author: Thomas Rauter [aut, cre, fnd]
Maintainer: Thomas Rauter <rauterthomas0@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:20:02 UTC

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Package rtrim updated to version 2.3.1 with previous version 2.3.0 dated 2024-06-21

Title: Trends and Indices for Monitoring Data
Description: The TRIM model is widely used for estimating growth and decline of animal populations based on (possibly sparsely available) count data. The current package is a reimplementation of the original TRIM software developed at Statistics Netherlands by Jeroen Pannekoek. See <https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends%2d%2dtrim%2d%2d> for more information about TRIM.
Author: Patrick Bogaart [aut, cre] , Mark van der Loo [aut], Jeroen Pannekoek [aut], Statistics Netherlands [cph]
Maintainer: Patrick Bogaart <rtrim@cbs.nl>

Diff between rtrim versions 2.3.0 dated 2024-06-21 and 2.3.1 dated 2026-02-13

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New package RegimeChange with initial version 0.1.1
Package: RegimeChange
Title: Comprehensive Regime Change Detection in Time Series
Version: 0.1.1
Description: A unified framework for detecting regime changes (changepoints) in time series data. Implements both frequentist methods including Cumulative Sum (CUSUM, Page (1954) <doi:10.1093/biomet/41.1-2.100>), Pruned Exact Linear Time (PELT, Killick, Fearnhead, and Eckley (2012) <doi:10.1080/01621459.2012.737745>), Binary Segmentation, and Wild Binary Segmentation, as well as Bayesian methods such as Bayesian Online Changepoint Detection (BOCPD, Adams and MacKay (2007) <doi:10.48550/arXiv.0710.3742> and Shiryaev-Roberts. Supports offline analysis for retrospective detection and online monitoring for real-time surveillance. Provides rigorous uncertainty quantification through confidence intervals and posterior distributions. Handles univariate and multivariate series with detection of changes in mean, variance, trend, and distributional properties.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, ggplot2 (>= 3.4.0), rlang (>= 1.1.0), cli (>= 3.6.0), magrittr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, plotly, patchwork, covr, JuliaCall (>= 0.17.0), keras (>= 2.9.0), tensorflow (>= 2.9.0), reticulate (>= 1.26)
VignetteBuilder: knitr
URL: https://github.com/IsadoreNabi/RegimeChange
BugReports: https://github.com/IsadoreNabi/RegimeChange/issues
LazyData: true
SystemRequirements: Julia (>= 1.6) for optional high-performance backend, Python (>= 3.8) with TensorFlow for deep learning methods
NeedsCompilation: no
Packaged: 2026-02-11 19:07:44 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadorenabi@pm.me>
Repository: CRAN
Date/Publication: 2026-02-13 16:34:59 UTC

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New package rareflow with initial version 0.1.0
Package: rareflow
Title: Variational Flow-Based Inference for Rare Events and Large Deviations
Version: 0.1.0
Description: Variational flow-based methods for modeling rare events using Kullback–Leibler (KL) divergence, normalizing flows, Girsanov change of measure, and Freidlin–Wentzell action functionals. The package provides tools for rare-event inference, minimum-action paths, and quasi-potential computation in stochastic dynamical systems. Methods are based on Rezende and Mohamed (2015) <doi:10.48550/arXiv.1505.05770>, Girsanov (1960) <doi:10.1137/1105027>, and Freidlin and Wentzell (2012, ISBN:978-0387955477).
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, ggplot2, gganimate, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-11 21:38:50 UTC; Pietro
Author: Pietro Piu [aut, cre]
Maintainer: Pietro Piu <pietro.piu.si@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:40:08 UTC

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New package MFF with initial version 0.1.0
Package: MFF
Title: Meta Fuzzy Functions
Version: 0.1.0
Description: Implements Meta Fuzzy Functions (MFFs) for regression Tak and Ucan (2026) <doi:10.1016/j.asoc.2026.114592> by aggregating predictions from multiple base learners using membership weights learned in the prediction space of validation set. The package supports fuzzy and crisp meta-ensemble structures via Fuzzy C-Means (FCM) Tak (2018) <doi:10.1016/j.asoc.2018.08.009>, Possibilistic FCM (PFCM) Tak (2021) <doi:10.1016/j.ins.2021.01.024>, and k-means, and provides a workflow to (i) generate validation/test prediction matrices from common regression learners (linear and penalized regression via 'glmnet', random forests, gradient boosting with 'xgboost' and 'lightgbm'), (ii) fit cluster-wise meta fuzzy functions and compute membership-based weights, (iii) tune clustering-related hyperparameters (number of clusters/functions, fuzziness exponent, possibilistic regularization) via grid search on validation loss, and (iv) predict on new/test prediction matrices and evaluate perf [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet, randomForest, xgboost, lightgbm, e1071, ppclust
Suggests: knitr, rmarkdown, MASS
NeedsCompilation: no
Packaged: 2026-02-11 11:49:02 UTC; sadik
Author: Nihat Tak [aut, cre], Sadik Coban [aut]
Maintainer: Nihat Tak <nihattak@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:20:29 UTC

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Package keras3 updated to version 1.5.1 with previous version 1.5.0 dated 2025-12-22

Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.
Author: Tomasz Kalinowski [aut, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Francois Chollet [aut, cph], Posit Software, PBC [cph, fnd], Google [cph, fnd], Yuan Tang [ctb, cph] , Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigri [...truncated...]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package httr updated to version 1.4.8 with previous version 1.4.7 dated 2023-08-15

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

Diff between httr versions 1.4.7 dated 2023-08-15 and 1.4.8 dated 2026-02-13

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New package cepiweek with initial version 0.1.1
Package: cepiweek
Title: Continuous Epidemiological Week Indexing for Time-Series Analysis
Version: 0.1.1
Description: Provides a simple algorithm to generate a continuous epidemiological week index from date variables in a dataframe. Weeks are computed as sequential 7-day intervals starting from the earliest observed date. They do not reset at calendar year boundaries and are not ISO 8601 nor MMWR calendar weeks. The approach is intended for epidemiological modeling and time-series analysis where temporal continuity is required. The generated weeks are sequential and do not reset at calendar year boundaries.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lubridate
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-11 08:56:18 UTC; Daniel_Degina_MY
Author: Daniel Degina [aut, cre, cph]
Maintainer: Daniel Degina <deginadan@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:20:23 UTC

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Package CCMnet readmission to version 0.1.4 with previous version 0.0-3 dated 2015-12-10

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>

This is a re-admission after prior archival of version 0.0-3 dated 2015-12-10

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Package measureR updated to version 0.0.2 with previous version 0.0.1 dated 2026-02-10

Title: Tools for Educational and Psychological Measurement
Description: 'Provides an interactive toolkit for educational and psychological measurement implemented using the 'shiny' framework. The package supports content validity analysis, dimensionality assessment, and Classical Test Theory using the 'CTT' package (Willse, 2018) <doi:10.32614/CRAN.package.CTT>.Item Response Theory (IRT) analyses are conducted via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>. Exploratory Factor Analysis is performed using 'psych' (Revelle, 2025), while Confirmatory Factor Analysis and Structural Equation Modeling are based on the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. The application allows users to upload data, evaluate statistical models, visualize results, and export outputs through an intuitive graphical interface without requiring programming experience.
Author: Hasan Djidu [aut, cre]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>

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Package reticulate updated to version 1.45.0 with previous version 1.44.1 dated 2025-11-14

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package spdep updated to version 1.4-2 with previous version 1.4-1 dated 2025-08-31

Title: Spatial Dependence: Weighting Schemes, Statistics
Description: A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) <d [...truncated...]
Author: Roger Bivand [cre, aut] , Micah Altman [ctb], Luc Anselin [ctb], Renato Assuncao [ctb], Anil Bera [ctb], Olaf Berke [ctb], F. Guillaume Blanchet [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Steph [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package latrend readmission to version 1.6.3 with previous version 1.6.2 dated 2025-07-04

Title: A Framework for Clustering Longitudinal Data
Description: A framework for clustering longitudinal datasets in a standardized way. The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease. The 'akmedoids' package is available from <https://github.com/MAnalytics/akmedoids>.
Author: Niek Den Teuling [aut, cre] , Steffen Pauws [ctb], Edwin van den Heuvel [ctb], Koninklijke Philips N.V. [cph]
Maintainer: Niek Den Teuling <niek.den.teuling@philips.com>

This is a re-admission after prior archival of version 1.6.2 dated 2025-07-04

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Package stars updated to version 0.7-1 with previous version 0.7-0 dated 2025-12-14

Title: Spatiotemporal Arrays, Raster and Vector Data Cubes
Description: Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.
Author: Edzer Pebesma [aut, cre] , Michael Sumner [ctb] , Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb], Krzysztof Dyba [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package modelsummary updated to version 2.6.0 with previous version 2.5.0 dated 2025-08-25

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package eVCGsampler updated to version 0.9.5 with previous version 0.9.2 dated 2025-12-19

Title: VCG Sampling using Energy-Based Covariate Balancing
Description: Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.
Author: Andreas Schulz [aut, cre] , Sanofi [cph, fnd]
Maintainer: Andreas Schulz <andreas.schulz2@sanofi.com>

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Package assertions updated to version 0.3.0 with previous version 0.2.0 dated 2024-11-19

Title: Simple Assertions for Beautiful and Customisable Error Messages
Description: Provides simple assertions with sensible defaults and customisable error messages. It offers convenient assertion call wrappers and a general assert function that can handle any condition. Default error messages are user friendly and easily customized with inline code evaluation and styling powered by the 'cli' package.
Author: Sam El-Kamand [aut, cre, cph]
Maintainer: Sam El-Kamand <sam.elkamand@gmail.com>

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Package lpSolveAPI updated to version 5.5.2.0-17.15 with previous version 5.5.2.0-17.14 dated 2025-04-14

Title: R Interface to 'lp_solve' Version 5.5.2.0
Description: The lpSolveAPI package provides an R interface to 'lp_solve', a Mixed Integer Linear Programming (MILP) solver with support for pure linear, (mixed) integer/binary, semi-continuous and special ordered sets (SOS) models.
Author: lp_solve [aut], Kjell Konis [aut], Florian Schwendinger [aut, cre], Kurt Hornik [ctb]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

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Package TreeDist updated to version 2.12.0 with previous version 2.11.1 dated 2025-10-13

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; the Hierarchical Mutual Information (Perotti et al. 2015) <doi:10.1103/PhysRevE.92.062825>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for identifying islands o [...truncated...]
Author: Martin R. Smith [aut, cre, cph, prg] , Roy Jonker [prg, cph] , Yong Yang [ctb, cph] , Yi Cao [ctb, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package sp updated to version 2.2-1 with previous version 2.2-0 dated 2025-02-01

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc. From this version, 'rgdal', 'maptools', and 'rgeos' are no longer used at all, see <https://r-spatial.org/r/2023/05/15/evolution4.html> for details.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Finn Lindgren [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb], Patrick [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package paran updated to version 1.5.5 with previous version 1.5.4 dated 2025-04-12

Title: Horn's Test of Principal Components/Factors
Description: An implementation of Horn's technique for numerically and graphically evaluating the components or factors retained in a principle components analysis (PCA) or common factor analysis (FA). Horn's method contrasts eigenvalues produced through a PCA or FA on a number of random data sets of uncorrelated variables with the same number of variables and observations as the experimental or observational data set to produce eigenvalues for components or factors that are adjusted for the sample error-induced inflation. Components with adjusted eigenvalues greater than one are retained. paran may also be used to conduct parallel analysis following Glorfeld's (1995) suggestions to reduce the likelihood of over-retention.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package fastQR readmission to version 1.1.4 with previous version 1.0.0 dated 2025-02-04

Title: Fast QR Decomposition and Update
Description: Efficient algorithms for performing, updating, and removing rows or columns from the QR decomposition, R decomposition, or the inverse of the R decomposition of a matrix as rows or columns are added or removed. It also includes functions for solving linear systems of equations, normal equations for linear regression models, and normal equations for linear regression with a RIDGE penalty. For a detailed introduction to these methods, the monograph Matrix Computations (2013, <doi:10.1007/978-3-319-05089-8>) for complete introduction to the methods.
Author: Mauro Bernardi [aut, cre], Claudio Busatto [aut], Manuela Cattelan [aut]
Maintainer: Mauro Bernardi <mauro.bernardi@unipd.it>

This is a re-admission after prior archival of version 1.0.0 dated 2025-02-04

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Package DiscreteFDR updated to version 2.1.1 with previous version 2.1.0 dated 2024-12-14

Title: FDR Based Multiple Testing Procedures with Adaptation for Discrete Tests
Description: Implementations of the multiple testing procedures for discrete tests described in the paper Döhler, Durand and Roquain (2018) "New FDR bounds for discrete and heterogeneous tests" <doi:10.1214/18-EJS1441>. The main procedures of the paper (HSU and HSD), their adaptive counterparts (AHSU and AHSD), and the HBR variant are available and are coded to take as input the results of a test procedure from package 'DiscreteTests', or a set of observed p-values and their discrete support under their nulls. A shortcut function to obtain such p-values and supports is also provided, along with a wrapper allowing to apply discrete procedures directly to data.
Author: Sebastian Doehler [aut, ctb] , Florian Junge [aut, ctb, cre] , Guillermo Durand [aut, ctb] , Etienne Roquain [ctb], Christina Kihn [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

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Package CBTF updated to version 0.6.0 with previous version 0.5.0 dated 2025-08-21

Title: Caught by the Fuzz! - A Minimalistic Fuzz-Test Runner
Description: A simple runner for fuzz-testing functions in an R package's public interface. Fuzz testing helps identify functions lacking sufficient argument validation, and uncovers problematic inputs that, while valid by function signature, may cause issues within the function body.
Author: Marco Colombo [aut, cre]
Maintainer: Marco Colombo <mar.colombo13@gmail.com>

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Package wikitaxa readmission to version 0.5.0 with previous version 0.4.0 dated 2020-06-29

Title: Taxonomic Information from 'Wikipedia'
Description: 'Taxonomic' information from 'Wikipedia', 'Wikicommons', 'Wikispecies', and 'Wikidata'. Functions included for getting taxonomic information from each of the sources just listed, as well performing taxonomic search.
Author: Scott Chamberlain [aut], Ethan Welty [aut], Grzegorz Sapijaszko [aut], Zachary Foster [aut, cre]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

This is a re-admission after prior archival of version 0.4.0 dated 2020-06-29

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Package UsingR updated to version 2.0-8 with previous version 2.0-7 dated 2022-01-11

Title: Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition
Description: A collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.
Author: John Verzani [aut, cre]
Maintainer: John Verzani <verzani@math.csi.cuny.edu>

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Package tipitaka readmission to version 1.0.0 with previous version 0.1.2 dated 2021-03-30

Title: Data and Tools for Analyzing the Pali Canon
Description: Provides access to the complete Pali Canon, or Tipitaka, the canonical scripture for Theravadin Buddhists worldwide. Based on the Chattha Sangayana Tipitaka version 4 (Vipassana Research Institute, 1990). Includes word frequency data and tools for Pali string sorting. For a lemmatized critical edition with sutta-level granularity, see the companion package 'tipitaka.critical'.
Author: Dan Zigmond [aut, cre]
Maintainer: Dan Zigmond <djz@shmonk.com>

This is a re-admission after prior archival of version 0.1.2 dated 2021-03-30

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Package SeqFeatR updated to version 0.3.3 with previous version 0.3.1 dated 2019-04-12

Title: A Tool to Associate FASTA Sequences and Features
Description: Provides user friendly methods for the identification of sequence patterns that are statistically significantly associated with a property of the sequence. For instance, SeqFeatR allows to identify viral immune escape mutations for hosts of given HLA types. The underlying statistical method is Fisher's exact test, with appropriate corrections for multiple testing, or Bayes. Patterns may be point mutations or n-tuple of mutations. SeqFeatR offers several ways to visualize the results of the statistical analyses, see Budeus (2016) <doi:10.1371/journal.pone.0146409>.
Author: Bettina Budeus [aut, cre]
Maintainer: Bettina Budeus <bettina.budeus@stud.uni-due.de>

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Package qatarcars updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-16

Title: Data on Cars in Qatar
Description: Fuel economy, size, performance, and price data for cars in Qatar in 2025. Mirrors many of the columns in mtcars, but uses (1) non-US-centric makes and models, (2) 2025 prices, and (3) metric measurements, making it more appropriate for use as an example dataset outside the United States. For more details see Musgrave (2025) <doi:10.1080/15512169.2025.2572320>.
Author: Paul Musgrave [aut, cre, cph] , Andrew Heiss [aut]
Maintainer: Paul Musgrave <rpm47@georgetown.edu>

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Package PUlasso readmission to version 3.2.6 with previous version 3.2.5 dated 2023-12-18

Title: High-Dimensional Variable Selection with Presence-Only Data
Description: Efficient algorithm for solving PU (Positive and Unlabeled) problem in low or high dimensional setting with lasso or group lasso penalty. The algorithm uses Maximization-Minorization and (block) coordinate descent. Sparse calculation and parallel computing are supported for the computational speed-up. See Hyebin Song, Garvesh Raskutti (2018) <doi:10.48550/arXiv.1711.08129>.
Author: Hyebin Song [aut, cre], Garvesh Raskutti [aut]
Maintainer: Hyebin Song <hps5320@psu.edu>

This is a re-admission after prior archival of version 3.2.5 dated 2023-12-18

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Package mau updated to version 0.4.0 with previous version 0.1.2 dated 2018-01-17

Title: Decision Models with Multi Attribute Utility Theory
Description: Provides functions for the creation, evaluation and test of decision models based in Multi Attribute Utility Theory (MAUT). Can process and evaluate local risk aversion utilities for a set of indexes, compute utilities and weights for the whole decision tree defining the decision model and simulate weights employing Dirichlet distributions under addition constraints in weights. Also includes other rating analysis methods as for example the Colley, Offensive - Defensive ratings and the ranking aggregation with Borda count.
Author: Felipe Aguirre [ctb], Julio Andrade [ctb], Pedro Guarderas [aut, cre], Daniel Lagos [ctb], Andres Lopez [ctb], Nelson Recalde [ctb], Edison Salazar [ctb]
Maintainer: Pedro Guarderas <pedro.felipe.guarderas@gmail.com>

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Package EcoCleanR updated to version 1.0.3 with previous version 1.0.2 dated 2026-02-11

Title: Enhancing Data Quality of Biogeographic Ranges with Application for Marine Invertebrates
Description: Provides step-by-step automation for integrating biodiversity data from multiple online aggregators, merging and cleaning datasets while addressing challenges such as taxonomic inconsistencies, georeferencing issues, and spatial or environmental outliers. Includes functions to extract environmental data and to define the biogeographic ranges in which species are most likely to occur. For methodological details see the associated publication.<doi: 10.1002/ecog.08203>.
Author: Priyanka Soni [aut, cre] , Austin Hendy [ctb] , David Bottjer [ctb] , Vijay Barve [ctb]
Maintainer: Priyanka Soni <sonip@usc.edu>

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Package adapt3 updated to version 2.0.7 with previous version 2.0.0 dated 2026-02-09

Title: Adaptive Dynamics and Community Matrix Model Projections
Description: Runs projections of groups of matrix projection models (MPMs), allowing density dependence mechanisms to work across MPMs. This package was developed to run both adaptive dynamics simulations such as pairwise and multiple invasibility analyses, and community projections in which species are represented by MPMs. All forms of MPMs are allowed, including integral projection models (IPMs).
Author: Richard P. Shefferson [aut, cre]
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

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Package vdiffr updated to version 1.0.9 with previous version 1.0.8 dated 2024-10-31

Title: Visual Regression Testing and Graphical Diffing
Description: An extension to the 'testthat' package that makes it easy to add graphical unit tests. It provides a Shiny application to manage the test cases.
Author: Lionel Henry [aut], Thomas Lin Pedersen [cre, aut] , Posit Software, PBC [cph, fnd], T Jake Luciani [aut] , Matthieu Decorde [aut] , Vaudor Lise [aut] , Tony Plate [ctb] , David Gohel [ctb] , Yixuan Qiu [ctb] , Hakon Malmedal [ctb]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package GDILM.SEIRS readmission to version 0.0.6 with previous version 0.0.5 dated 2025-11-02

Title: Spatial Modeling of Infectious Disease with Reinfection
Description: Geographically Dependent Individual Level Models (GDILMs) within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model infectious disease transmission, incorporating reinfection dynamics. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. It also provides tools for GDILM fitting, parameter estimation, AIC calculation on real pandemic data, and simulation studies customized to user-defined model settings.
Author: Amin Abed [aut, cre, cph] , Mahmoud Torabi [ths], Zeinab Mashreghi [ths]
Maintainer: Amin Abed <abeda@myumanitoba.ca>

This is a re-admission after prior archival of version 0.0.5 dated 2025-11-02

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Package sshist updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-12

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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New package PTSDdiag with initial version 0.1.0
Package: PTSDdiag
Title: Optimize PTSD Diagnostic Criteria
Version: 0.1.0
Description: Provides tools for analyzing and optimizing PTSD (Post-Traumatic Stress Disorder) diagnostic criteria using PCL-5 (PTSD Checklist for DSM-5) data. Functions identify optimal subsets of PCL-5 items that maintain diagnostic accuracy while reducing assessment burden. Includes tools for both hierarchical (cluster-based) and non-hierarchical symptom combinations, calculation of diagnostic metrics, and comparison with standard DSM-5 criteria. Model validation is conducted using holdout and cross-validation methods to assess robustness and generalizability of the results. For more details see Weidmann et al. (2025) <doi:10.31219/osf.io/6rk72_v1>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, rlang, stats, utils, modelr
Depends: R (>= 3.5.0)
Suggests: DT, knitr, lattice, psych, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/WeidmannL/PTSDdiag
BugReports: https://github.com/WeidmannL/PTSDdiag/issues
NeedsCompilation: no
Packaged: 2026-02-10 23:39:48 UTC; trs
Author: Laura Weidmann [aut] , Tobias R. Spiller [aut, cre] , Flavio A. Schueepp [aut]
Maintainer: Tobias R. Spiller <tobias.spiller@access.uzh.ch>
Repository: CRAN
Date/Publication: 2026-02-13 07:50:02 UTC

More information about PTSDdiag at CRAN
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Package plsVarSel updated to version 0.10.0 with previous version 0.9.13 dated 2025-04-09

Title: Variable Selection in Partial Least Squares
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
Author: Kristian Hovde Liland [aut, cre] , Tahir Mehmood [ctb], Solve Saeboe [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package ordinalNet updated to version 2.14 with previous version 2.13 dated 2025-05-15

Title: Penalized Ordinal Regression
Description: Fits ordinal regression models with elastic net penalty. Supported model families include cumulative probability, stopping ratio, continuation ratio, and adjacent category. These families are a subset of vector glm's which belong to a model class we call the elementwise link multinomial-ordinal (ELMO) class. Each family in this class links a vector of covariates to a vector of class probabilities. Each of these families has a parallel form, which is appropriate for ordinal response data, as well as a nonparallel form that is appropriate for an unordered categorical response, or as a more flexible model for ordinal data. The parallel model has a single set of coefficients, whereas the nonparallel model has a set of coefficients for each response category except the baseline category. It is also possible to fit a model with both parallel and nonparallel terms, which we call the semi-parallel model. The semi-parallel model has the flexibility of the nonparallel model, but the elastic net [...truncated...]
Author: Michael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut]
Maintainer: Michael Wurm <wurm@uwalumni.com>

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More information about ordinalNet at CRAN
Permanent link

Package nimble updated to version 1.4.1 with previous version 1.4.0 dated 2025-12-13

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Laplace Approximation, deterministic nested approximations, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic al [...truncated...]
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] , Abel Rodriguez [aut] , Duncan Temple Lang [aut] , Wei Zhang [aut] , [...truncated...]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 1.4.0 dated 2025-12-13 and 1.4.1 dated 2026-02-13

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More information about nimble at CRAN
Permanent link

Package mirai updated to version 2.6.0 with previous version 2.5.3 dated 2025-12-01

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>

Diff between mirai versions 2.5.3 dated 2025-12-01 and 2.6.0 dated 2026-02-13

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More information about mirai at CRAN
Permanent link

New package mhpfilter with initial version 0.1.0
Package: mhpfilter
Title: Modified Hodrick-Prescott Filter with Optimal Smoothing Parameter Selection
Version: 0.1.0
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: High-performance implementation of the Modified Hodrick-Prescott (HP) Filter for decomposing macroeconomic time series into trend and cyclical components. Based on the methodology of Choudhary, Hanif and Iqbal (2014) <doi:10.1080/00036846.2014.894631> "On smoothing macroeconomic time series using the modified HP filter", which uses generalized cross-validation (GCV) to automatically select the optimal smoothing parameter lambda, following McDermott (1997) "An automatic method for choosing the smoothing parameter in the HP filter" (as described in Coe and McDermott (1997) <doi:10.2307/3867497>). Unlike the standard HP filter that uses fixed lambda values (1600 for quarterly, 100 for annual data), this package estimates series-specific lambda values that minimize the GCV criterion. Implements efficient C++ routines via 'RcppArmadillo' for fast computation, supports batch processing of multiple series, and provides comprehensive visualization tools using 'ggplot2'. Particularl [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://myaseen208.com/mhpfilter/
BugReports: https://github.com/myaseen208/mhpfilter/issues
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), RcppArmadillo (>= 0.12.0.0.0), data.table (>= 1.14.0), collapse (>= 2.0.0), ggplot2 (>= 3.4.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr (>= 1.40), rmarkdown (>= 2.20), testthat (>= 3.0.0), tidyverse (>= 2.0.0), fastverse (>= 0.3.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Language: en-US
Packaged: 2026-02-10 21:18:50 UTC; myaseen208
Author: Muhammad Yaseen [aut, cre] , Javed Iqbal [ctb] , M. Nadim Hanif [ctb]
Repository: CRAN
Date/Publication: 2026-02-13 07:40:08 UTC

More information about mhpfilter at CRAN
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Package influential updated to version 2.3.0 with previous version 2.2.9 dated 2023-12-09

Title: Identification and Classification of the Most Influential Nodes
Description: Provides functions for classification and ranking of candidate features, reconstruction of networks from adjacency matrices and data frames, topological analysis, and calculation of centrality measures. The package includes the SIRIR model, which combines leave-one-out cross-validation with the conventional SIR model to rank vertex influence in an unsupervised manner. Additional functions support assessment of dependence and correlation between network centrality measures, as well as estimation of conditional probabilities of deviation from their corresponding means in opposite directions.
Author: Adrian Salavaty [aut, cre] , Mirana Ramialison [ths], Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>

Diff between influential versions 2.2.9 dated 2023-12-09 and 2.3.0 dated 2026-02-13

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More information about influential at CRAN
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Package glyrepr updated to version 0.10.1 with previous version 0.10.0 dated 2026-01-24

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

Diff between glyrepr versions 0.10.0 dated 2026-01-24 and 0.10.1 dated 2026-02-13

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More information about glyrepr at CRAN
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Package flextable updated to version 0.9.11 with previous version 0.9.10 dated 2025-08-24

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint', R 'Grid Graphics' and 'patchwork'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Eli Daniels [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb], Titouan Robert [ctb], Michael Barrowman [ctb], Atsushi Yasumoto [ctb], Paul Julian [ctb], Sean B [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package fillpattern updated to version 1.0.3 with previous version 1.0.2 dated 2024-06-24

Title: Patterned Fills for 'ggplot2' and 'grid' Graphics
Description: Provides geometric patterns to replace solid color fills in statistical graphics. These patterns ensure figures remain distinguishable when viewed by colorblind readers or when printed in black and white. The included patterns can be customized in terms of scale, rotation, color, fill, line type, and line width. Compatible with the 'ggplot2' package as well as 'grid' graphics.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

Diff between fillpattern versions 1.0.2 dated 2024-06-24 and 1.0.3 dated 2026-02-13

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Package dunn.test updated to version 1.3.7 with previous version 1.3.6 dated 2024-04-12

Title: Dunn's Test of Multiple Comparisons Using Rank Sums
Description: Computes Dunn's test (1964) for stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis test for 0th-order stochastic dominance among k groups (Kruskal and Wallis, 1952). 'dunn.test' makes k(k-1)/2 multiple pairwise comparisons based on Dunn's z-test-statistic approximations to the actual rank statistics. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. Like the rank-sum test, if the data can be assumed to be continuous, and the distributions are assumed identical except for a difference in location, Dunn's test may be understood as a test for median difference and for mean difference. 'dunn.test' accounts for tied ranks.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package defm readmission to version 0.2.1.0 with previous version 0.1-1 dated 2023-09-07

Title: Estimation and Simulation of Multi-Binary Response Models
Description: Multi-binary response models are a class of models that allow for the estimation of multiple binary outcomes simultaneously. This package provides functions to estimate and simulate these models using the Discrete Exponential-Family Models [DEFM] framework. In it, we implement the models described in Vega Yon, Valente, and Pugh (2023) <doi:10.48550/arXiv.2211.00627>. DEFMs include Exponential-Family Random Graph Models [ERGMs], which characterize graphs using sufficient statistics, which is also the core of DEFMs. Using sufficient statistics, we can describe the data through meaningful motifs, for example, transitions between different states, joint distribution of the outcomes, etc.
Author: George Vega Yon [aut, cre] , Department of Veterans Affairs - Rehabilitation, Research, and Development Service [fnd] , U.S. Army Medical Research Acquisition Activity [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

This is a re-admission after prior archival of version 0.1-1 dated 2023-09-07

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Package dbplyr updated to version 2.5.2 with previous version 2.5.1 dated 2025-09-10

Title: A 'dplyr' Back End for Databases
Description: A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
Author: Hadley Wickham [aut, cre], Maximilian Girlich [aut], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package cnefetools updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-11

Title: Access and Analysis of Brazilian CNEFE Address Data
Description: Download, cache and read municipality-level address data from the Cadastro Nacional de Enderecos para Fins Estatisticos (CNEFE) of the 2022 Brazilian Census, published by the Instituto Brasileiro de Geografia e Estatistica (IBGE) <https://ftp.ibge.gov.br/Cadastro_Nacional_de_Enderecos_para_Fins_Estatisticos/>. Beyond data access, provides spatial aggregation of addresses, computation of land-use mix indices, and dasymetric interpolation of census tract variables using CNEFE dwelling points as ancillary data. Results can be produced on 'H3' hexagonal grids or user-supplied polygons, and heavy operations leverage a 'DuckDB' backend with extensions for fast, in-process execution.
Author: Jorge Ubirajara Pedreira Junior [aut, cre, cph] , Bruno Mioto [aut], Kaio Cunha Pedreira [ctb]
Maintainer: Jorge Ubirajara Pedreira Junior <jorge.ubirajara@ufba.br>

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Package AquaEnv updated to version 1.0-5 with previous version 1.0-4 dated 2016-09-06

Title: Integrated Development Toolbox for Aquatic Chemical Model Generation
Description: Toolbox for the experimental aquatic chemist, focused on acidification and CO2 air-water exchange. It contains all elements to model the pH, the related CO2 air-water exchange, and aquatic acid-base chemistry for an arbitrary marine, estuarine or freshwater system. It contains a suite of tools for sensitivity analysis, visualisation, modelling of chemical batches, and can be used to build dynamic models of aquatic systems. As from version 1.0-4, it also contains functions to calculate the buffer factors.
Author: Andreas F. Hofmann [aut], Karline Soetaert [aut, cre], Filip J.R. Meysman [aut], Mathilde Hagens [aut]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

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Package iClick updated to version 1.6.1 with previous version 1.6 dated 2025-08-21

Title: A Button-Based GUI for Financial and Economic Data Analysis
Description: A GUI designed to support the analysis of financial-economic time series data.
Author: Ho Tsung-wu [aut, cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

Diff between iClick versions 1.6 dated 2025-08-21 and 1.6.1 dated 2026-02-13

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Package usearchlite (with last version 0.1.0) was removed from CRAN

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

2026-02-12 0.1.0

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Package support (with last version 0.1.7) was removed from CRAN

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

2025-07-16 0.1.7

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Package tensorEVD (with last version 0.1.4) was removed from CRAN

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

2024-09-03 0.1.4
2024-05-30 0.1.3
2024-05-22 0.1.2
2024-02-08 0.1.1
2023-11-14 0.1.0

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Package rMVP (with last version 1.4.5) was removed from CRAN

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

2025-07-23 1.4.5
2025-01-22 1.4.0
2025-01-09 1.3.5
2024-12-17 1.3.0
2024-08-31 1.1.1
2023-11-27 1.0.8
2023-09-01 1.0.7
2021-04-18 1.0.6
2021-03-02 1.0.5
2020-09-01 1.0.4
2020-07-17 1.0.3
2020-05-07 1.0.0

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Package metapack (with last version 0.3) was removed from CRAN

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

2024-01-24 0.3
2022-05-30 0.2.0
2021-12-14 0.1.5
2021-10-20 0.1.4
2021-07-20 0.1.3
2021-04-21 0.1.2
2021-02-23 0.1.1
2021-02-17 0.1.0

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Package cglm (with last version 1.1) was removed from CRAN

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2019-12-06 1.1
2018-12-03 1.0

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Package growfunctions (with last version 0.17) was removed from CRAN

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2025-11-14 0.17
2023-12-12 0.16
2021-07-16 0.15
2018-03-31 0.14
2016-08-15 0.13
2015-11-13 0.12
2014-12-09 0.11
2014-08-08 0.1

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Package MLModelSelection (with last version 1.0) was removed from CRAN

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2020-03-20 1.0

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Package latrend (with last version 1.6.2) was removed from CRAN

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

2025-07-04 1.6.2
2024-05-15 1.6.1
2024-02-18 1.6.0
2023-03-17 1.5.1
2022-11-10 1.5.0
2022-10-26 1.4.3
2022-08-15 1.4.2

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Thu, 12 Feb 2026

Package vital updated to version 2.0.3 with previous version 2.0.2 dated 2026-01-18

Title: Tidy Analysis Tools for Mortality, Fertility, Migration and Population Data
Description: Analysing vital statistics based on tools consistent with the tidyverse. Tools are provided for data visualization, life table calculations, computing net migration numbers, Lee-Carter modelling; functional data modelling and forecasting.
Author: Rob Hyndman [aut, cre, cph] , Sixian Tang [aut] , Miles McBain [ctb] , Mitchell O'Hara-Wild [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between vital versions 2.0.2 dated 2026-01-18 and 2.0.3 dated 2026-02-12

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Package fpp3 updated to version 1.0.3 with previous version 1.0.2 dated 2025-09-01

Title: Data for "Forecasting: Principles and Practice" (3rd Edition)
Description: All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos <https://OTexts.com/fpp3/>. All packages required to run the examples are also loaded. Additional data sets not used in the book are also included.
Author: Rob Hyndman [aut, cre, cph] , George Athanasopoulos [ctb], Mitchell O'Hara-Wild [ctb], Nuwani Palihawadana [ctb], Shanika Wickramasuriya [ctb], RStudio [cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between fpp3 versions 1.0.2 dated 2025-09-01 and 1.0.3 dated 2026-02-12

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Package CDCPLACES updated to version 1.2.0 with previous version 1.1.10 dated 2025-05-22

Title: Access the 'CDC PLACES' API
Description: Allows users to seamlessly query several 'CDC PLACES' APIs (<https://data.cdc.gov/browse?q=PLACES%20&sortBy=relevance>) by geography, state, measure, and release year. This package also contains a function to explore the available measures for each release year.
Author: Brenden Smith [aut, cre]
Maintainer: Brenden Smith <smit2535@msu.edu>

Diff between CDCPLACES versions 1.1.10 dated 2025-05-22 and 1.2.0 dated 2026-02-12

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Package IGC.CSM updated to version 0.3.0 with previous version 0.2.0 dated 2024-09-30

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>

Diff between IGC.CSM versions 0.2.0 dated 2024-09-30 and 0.3.0 dated 2026-02-12

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Package trtswitch updated to version 0.2.4 with previous version 0.2.3 dated 2026-01-10

Title: Treatment Switching
Description: Implements rank preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), marginal structural model (MSM), simple two-stage estimation (TSEsimp), and improved two-stage estimation with g-estimation (TSEgest) methods for treatment switching in randomized clinical trials.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

Diff between trtswitch versions 0.2.3 dated 2026-01-10 and 0.2.4 dated 2026-02-12

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Package drimmR updated to version 1.0.3 with previous version 1.0.1 dated 2021-05-10

Title: Estimation, Simulation and Reliability of Drifting Markov Models
Description: Performs the drifting Markov models (DMM) which are non-homogeneous Markov models designed for modeling the heterogeneities of sequences in a more flexible way than homogeneous Markov chains or even hidden Markov models. In this context, we developed an R package dedicated to the estimation, simulation and the exact computation of associated reliability of drifting Markov models. The implemented methods are described in Vergne, N. (2008), <doi:10.2202/1544-6115.1326> and Barbu, V.S., Vergne, N. (2019) <doi:10.1007/s11009-018-9682-8> .
Author: Nicolas Vergne [aut, cre] , Corentin Lothode [aut] , Alexandre Seiller [aut], Victor Mataigne [ctb], Arnaud Lefebvre [ctb], Annthomy Gilles [ctb], Vlad Stefan Barbu [aut]
Maintainer: Nicolas Vergne <nicolas.vergne@univ-rouen.fr>

Diff between drimmR versions 1.0.1 dated 2021-05-10 and 1.0.3 dated 2026-02-12

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New package usearchlite with initial version 0.1.0
Package: usearchlite
Title: Local Vector Search with 'USearch'
Version: 0.1.0
Description: A lightweight local vector index for approximate nearest neighbor (ANN) search using the vendored 'USearch' library Vardanian (2023) <doi:10.5281/zenodo.7949416>. Provides a simple interface for adding vectors, searching for nearest neighbors, and persisting indexes to disk. Metadata filtering is performed in 'R' on the candidate set returned by the 'C++' layer.
License: MIT + file LICENSE
URL: https://github.com/aljrico/usearchlite
BugReports: https://github.com/aljrico/usearchlite/issues
Encoding: UTF-8
SystemRequirements: C++17
NeedsCompilation: yes
LinkingTo: cpp11
Suggests: testthat (>= 3.0.0)
Packaged: 2026-02-10 10:15:58 UTC; alejandrojimenezrico
Author: Alejandro Jimenez Rico [aut, cre]
Maintainer: Alejandro Jimenez Rico <aljrico@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 20:30:02 UTC

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New package MDgof with initial version 1.0.0
Package: MDgof
Title: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions
Version: 1.0.0
Description: The routine gof_test() in this package runs the goodness-of-fit test using various test statistic for multivariate data. Models under the null hypothesis can either be simple or allow for parameter estimation. p values are found via the parametric bootstrap (simulation). The routine gof_test_adjusted_pvalues() runs several tests and then finds a p value adjusted for simultaneous inference. The routine gof_power() allows the estimation of the power of the tests. hybrid_test() and hybrid_power() do the same by first generating a Monte Carlo data set under the null hypothesis and then running a number of two-sample methods. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package via a large number of case studies. For details of the methods and references see the included vignettes.
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, parallel, stats, microbenchmark, spatstat.geom, spatstat.explore, FNN, copula, mvtnorm, ggplot2, microbenchmark, MD2sample
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-02-10 13:00:15 UTC; Wolfgang
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>
Repository: CRAN
Date/Publication: 2026-02-12 20:40:03 UTC

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New package il.cbs.muni with initial version 0.1.0
Package: il.cbs.muni
Title: Utility Functions to Work with Israeli Central Bureau of Statistics Municipal Data
Version: 0.1.0
Description: Analyst oriented utility functions to handle the different quirks of the Israeli CBS municipal data, harmonize id's and bring together data points from different years.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, janitor, purrr, readxl, rlang, stringr, tidyr
Suggests: httr2, testthat (>= 3.0.0)
URL: https://github.com/matanhakim/il.cbs.muni, https://matanhakim.github.io/il.cbs.muni/
BugReports: https://github.com/matanhakim/il.cbs.muni/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-10 14:33:03 UTC; matan
Author: Matan Hakim [aut, cre, cph]
Maintainer: Matan Hakim <matanhakim@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 20:50:02 UTC

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New package CardiacDP with initial version 0.4.2
Package: CardiacDP
Title: Automated Cardiac Data Processing via ACF, GA & Tracking Index
Version: 0.4.2
Maintainer: Yi-Fei Gu <guyf0601@connect.hku.hk>
Description: An algorithm developed to efficiently and accurately process complex and variable cardiac data with three key features: 1. employing autocorrelation to identify recurrent heartbeats and use their periods to compute heart rates; 2. incorporating a genetic algorithm framework to minimize data loss due to noise interference and accommodate within-sequence variations; and 3. introducing a tracking index as a moving reference to reduce errors. Lau, Wong, & Gu (2026) <https://ssrn.com/abstract=5153081>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: data.table, doParallel, dplyr, foreach, ggplot2, purrr, RColorBrewer, stringr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-10 09:37:37 UTC; yg
Author: Sarah Lau [aut, ctb] , Adrian Wong [aut, ctb], Yi-Fei Gu [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-12 20:30:08 UTC

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Package gsDesign2 updated to version 1.1.8 with previous version 1.1.7 dated 2025-11-19

Title: Group Sequential Design with Non-Constant Effect
Description: The goal of 'gsDesign2' is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the 'gsDesign' package is intended for selecting boundaries.
Author: Keaven Anderson [aut], Yujie Zhao [aut, cre], Yilong Zhang [aut], John Blischak [aut], Yihui Xie [aut], Nan Xiao [aut], Jianxiao Yang [aut], Amin Shirazi [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Xin Tong Li [ctb], Chenxiang Li [ctb], [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

Diff between gsDesign2 versions 1.1.7 dated 2025-11-19 and 1.1.8 dated 2026-02-12

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Package MOSAlloc (with last version 1.2.4) was removed from CRAN

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

2026-02-07 1.2.4
2026-01-27 1.2.3

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Package cardargus (with last version 0.2.1) was removed from CRAN

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

2026-02-05 0.2.1
2026-01-31 0.2.0

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Package pnd updated to version 0.1.2 with previous version 0.1.1 dated 2025-09-03

Title: Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
Description: Numerical derivatives through finite-difference approximations can be calculated using the 'pnd' package with parallel capabilities and optimal step-size selection to improve accuracy. These functions facilitate efficient computation of derivatives, gradients, Jacobians, and Hessians, allowing for more evaluations to reduce the mathematical and machine errors. Designed for compatibility with the 'numDeriv' package, which has not received updates in several years, it introduces advanced features such as computing derivatives of arbitrary order, improving the accuracy of Hessian approximations by avoiding repeated differencing, and parallelising slow functions on Windows, Mac, and Linux.
Author: Andrei Victorovitch Kostyrka [aut, cre]
Maintainer: Andrei Victorovitch Kostyrka <andrei.kostyrka@gmail.com>

Diff between pnd versions 0.1.1 dated 2025-09-03 and 0.1.2 dated 2026-02-12

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Package stochtree updated to version 0.3.1 with previous version 0.3.0 dated 2026-01-27

Title: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
Description: Flexible stochastic tree ensemble software. Robust implementations of Bayesian Additive Regression Trees (BART) Chipman, George, McCulloch (2010) <doi:10.1214/09-AOAS285> for supervised learning and Bayesian Causal Forests (BCF) Hahn, Murray, Carvalho (2020) <doi:10.1214/19-BA1195> for causal inference. Enables model serialization and parallel sampling and provides a low-level interface for custom stochastic forest samplers.
Author: Drew Herren [aut, cre] , Richard Hahn [aut], Jared Murray [aut], Carlos Carvalho [aut], Jingyu He [aut], Pedro Lima [ctb], stochtree contributors [cph], Eigen contributors [cph] , xgboost contributors [cph] , treelite contributors [cph] , Microsoft C [...truncated...]
Maintainer: Drew Herren <drewherrenopensource@gmail.com>

Diff between stochtree versions 0.3.0 dated 2026-01-27 and 0.3.1 dated 2026-02-12

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Package varPro updated to version 2.1.0 with previous version 2.0.0 dated 2026-01-11

Title: Model-Independent Variable Selection via the Rule-Based Variable Priority
Description: A new framework of variable selection, which instead of generating artificial covariates such as permutation importance and knockoffs, creates release rules to examine the affect on the response for each covariate where the conditional distribution of the response variable can be arbitrary and unknown.
Author: Min Lu [aut], Aster K. Shear [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package redist updated to version 4.3.2 with previous version 4.3.1 dated 2025-10-01

Title: Simulation Methods for Legislative Redistricting
Description: Enables researchers to sample redistricting plans from a pre-specified target distribution using Sequential Monte Carlo and Markov Chain Monte Carlo algorithms. The package allows for the implementation of various constraints in the redistricting process such as geographic compactness and population parity requirements. Tools for analysis such as computation of various summary statistics and plotting functionality are also included. The package implements the SMC algorithm of McCartan and Imai (2023) <doi:10.1214/23-AOAS1763>, the enumeration algorithm of Fifield, Imai, Kawahara, and Kenny (2020) <doi:10.1080/2330443X.2020.1791773>, the Flip MCMC algorithm of Fifield, Higgins, Imai and Tarr (2020) <doi:10.1080/10618600.2020.1739532>, the Merge-split/Recombination algorithms of Carter et al. (2019) <doi:10.48550/arXiv.1911.01503> and DeFord et al. (2021) <doi:10.1162/99608f92.eb30390f>, and the Short-burst optimization algorithm of Cannon et al. (2020) < [...truncated...]
Author: Christopher T. Kenny [aut, cre] , Cory McCartan [aut] , Ben Fifield [aut] , Kosuke Imai [aut] , Jun Kawahara [ctb], Alexander Tarr [ctb], Michael Higgins [ctb]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

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Package massProps updated to version 0.3.5 with previous version 0.3.4 dated 2026-01-29

Title: Calculate Mass Properties and Uncertainties of Tree Structures
Description: Recursively calculates mass properties (mass, center of mass, moments and products of inertia, and optionally, their uncertainties) for arbitrary decomposition trees. R. L. Zimmerman, J. H. Nakai. (2005) <https://www.sawe.org/product/paper-3360/>).
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>

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Package lavinteract updated to version 0.4.6 with previous version 0.4.5 dated 2026-02-10

Title: Post-Estimation Utilities for 'lavaan' Fitted Models
Description: Companion toolbox for structural equation models fitted with 'lavaan'. Provides post-estimation diagnostics and graphics that operate directly on a fitted object using its estimates and covariance, and refits auxiliary models when needed. The package relies on 'lavaan' (Rosseel, 2012) <doi:10.18637/jss.v048.i02>.
Author: Giuseppe Corbelli [aut, cre]
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uninettunouniversity.net>

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Package growthTrendR readmission to version 0.2.2 with previous version 0.2.1 dated 2026-01-29

Title: Toolkit for Data Processing, Quality, and Statistical Models
Description: Offers tools for data formatting, anomaly detection, and classification of tree-ring data using spatial comparisons and cross-correlation. Supports flexible detrending and climate–growth modeling via generalized additive mixed models (Wood 2017, ISBN:978-1498728331) and the 'mgcv' package (<https://CRAN.R-project.org/package=mgcv>), enabling robust analysis of non-linear trends and autocorrelated data. Provides standardized visual reporting, including summaries, diagnostics, and model performance. Compatible with '.rwl' files and tailored for the Canadian Forest Service Tree-Ring Data (CFS-TRenD) repository (Girardin et al. (2021) <doi:10.1139/er-2020-0099>), offering a comprehensive and adaptable framework for dendrochronologists working with large and complex datasets.
Author: Xiao Jing Guo [aut, cre], Martin Girardin [aut], Juha Metsaranta [aut], David Gervais [aut], Elizabeth Campbell [aut]
Maintainer: Xiao Jing Guo <xiaojing.guo@nrcan-rncan.gc.ca>

This is a re-admission after prior archival of version 0.2.1 dated 2026-01-29

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Package ggpicrust2 updated to version 2.5.10 with previous version 2.5.2 dated 2025-08-25

Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <doi:10.1093/bioinformatics/btad470>.
Author: Chen Yang [aut, cre], Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>

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Package missMDA updated to version 1.21 with previous version 1.20 dated 2025-07-23

Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.
Author: Francois Husson [aut, cre] , Julie Josse [aut]
Maintainer: Francois Husson <francois.husson@institut-agro.fr>

Diff between missMDA versions 1.20 dated 2025-07-23 and 1.21 dated 2026-02-12

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Package valh updated to version 0.2.0 with previous version 0.1.0 dated 2025-04-09

Title: Interface Between R and the OpenStreetMap-Based Routing Service 'Valhalla'
Description: An interface between R and the 'Valhalla' API. 'Valhalla' is a routing service based on 'OpenStreetMap' data. See <https://valhalla.github.io/valhalla/> for more information. This package enables the computation of routes, trips, isochrones and travel distances matrices (travel time and kilometer distance).
Author: Timothee Giraud [cre, aut] , Matthieu Viry [aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between valh versions 0.1.0 dated 2025-04-09 and 0.2.0 dated 2026-02-12

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Package RcppSpdlog updated to version 0.0.27 with previous version 0.0.26 dated 2026-01-16

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel [aut, cre] , Gabi Melman [aut] , Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package INLAtools updated to version 0.0.9 with previous version 0.0.8 dated 2026-02-02

Title: Functionalities for the 'INLA' Package
Description: Contain code to work with a C struct, in short cgeneric, to define a Gaussian Markov random (GMRF) model. The cgeneric contain code to specify GMRF elements such as the graph and the precision matrix, and also the initial and prior for its parameters, useful for model inference. It can be accessed from a C program and is the recommended way to implement new GMRF models in the 'INLA' package (<https://www.r-inla.org>). The 'INLAtools' implement functions to evaluate each one of the model specifications from R. The implemented functionalities leverage the use of 'cgeneric' models and provide a way to debug the code as well to work with the prior for the model parameters and to sample from it. A very useful functionality is the Kronecker product method that creates a new model from multiple cgeneric models. It also works with the rgeneric, the R version of the cgeneric intended to easy try implementation of new GMRF models. The Kronecker between two cgeneric models was used in Sterr [...truncated...]
Author: Elias Teixeira Krainski [cre, aut, cph] , Finn Lindgren [aut] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>

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Package gtfs2emis updated to version 0.1.2 with previous version 0.1.1 dated 2024-12-02

Title: Estimating Public Transport Emissions from General Transit Feed Specification (GTFS) Data
Description: A bottom up model to estimate the emission levels of public transport systems based on General Transit Feed Specification (GTFS) data. The package requires two main inputs: i) Public transport data in the GTFS standard format; and ii) Some basic information on fleet characteristics such as fleet age, technology, fuel and Euro stage. As it stands, the package estimates several pollutants at high spatial and temporal resolutions. Pollution levels can be calculated for specific transport routes, trips, time of the day or for the transport system as a whole. The output with emission estimates can be extracted in different formats, supporting analysis on how emission levels vary across space, time and by fleet characteristics. A full description of the methods used in the 'gtfs2emis' model is presented in Vieira, J. P. B.; Pereira, R. H. M.; Andrade, P. R. (2022) <doi:10.31219/osf.io/8m2cy>.
Author: Joao Bazzo [aut, cre] , Rafael H. M. Pereira [aut] , Pedro R. Andrade [aut] , Sergio Ibarra-Espinosa [ctb] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Joao Bazzo <joao.bazzo@gmail.com>

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Package popEpi updated to version 0.4.14 with previous version 0.4.13 dated 2025-01-31

Title: Functions for Epidemiological Analysis using Population Data
Description: Enables computation of epidemiological statistics, including those where counts or mortality rates of the reference population are used. Currently supported: excess hazard models (Dickman, Sloggett, Hills, and Hakulinen (2012) <doi:10.1002/sim.1597>), rates, mean survival times, relative/net survival (in particular the Ederer II (Ederer and Heise (1959)) and Pohar Perme (Pohar Perme, Stare, and Esteve (2012) <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and standardized incidence and mortality ratios, all of which can be easily adjusted for by covariates such as age. Fast splitting and aggregation of 'Lexis' objects (from package 'Epi') and other computations achieved using 'data.table'.
Author: Joonas Miettinen [cre, aut] , Matti Rantanen [aut], Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>

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Package igraph updated to version 2.2.2 with previous version 2.2.1 dated 2025-10-27

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: Gabor Csardi [aut] , Tamas Nepusz [aut] , Vincent Traag [aut] , Szabolcs Horvat [aut] , Fabio Zanini [aut] , Daniel Noom [aut], Kirill Mueller [aut, cre] , Michael Antonov [ctb], Chan Zuckerberg Initiative [fnd] , David Schoch [aut] , Maelle Salmon [a [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package haplo.stats updated to version 1.9.7.1 with previous version 1.9.7 dated 2024-09-19

Title: Statistical Analysis of Haplotypes with Traits and Covariates when Linkage Phase is Ambiguous
Description: Routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.
Author: Schaid Daniel [aut], Jason P. Sinnwell [aut, cre]
Maintainer: Jason P. Sinnwell <sinnwell.jason@mayo.edu>

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Package tosr (with last version 0.1.5) was removed from CRAN

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

2025-01-29 0.1.5
2024-01-14 0.1.4
2023-08-09 0.1.3

Permanent link
Package ORION updated to version 1.1.1 with previous version 1.1.0 dated 2026-02-10

Title: Ordinal Relations
Description: Functions to handle ordinal relations reflected within the feature space. Those function allow to search for ordinal relations in multi-class datasets. One can check whether proposed relations are reflected in a specific feature representation. Furthermore, it provides functions to filter, organize and further analyze those ordinal relations.
Author: L Lausser [aut], LM Schaefer [aut], R Szekely [aut], A Stolnicu [aut], HA Kestler [aut, cre]
Maintainer: HA Kestler <hans.kestler@uni-ulm.de>

Diff between ORION versions 1.1.0 dated 2026-02-10 and 1.1.1 dated 2026-02-12

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Package CopernicusMarine updated to version 0.4.0 with previous version 0.3.7 dated 2025-11-30

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package SCORPION updated to version 1.3.1 with previous version 1.3.0 dated 2026-02-04

Title: Single Cell Oriented Reconstruction of PANDA Individual Optimized Networks
Description: Constructs cell-type–specific gene regulatory networks from single-cell RNA-sequencing data. The method implements the SCORPION algorithm, which first aggregates individual cells into supercells and then applies PANDA (Passing Attributes between Networks for Data Assimilation) to infer transcription factor–target regulatory relationships. It also provides statistical methods for differential edge analysis.
Author: Daniel Osorio [aut, cre] , Marieke L. Kuijjer [aut]
Maintainer: Daniel Osorio <daniecos@uio.no>

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Package model4you readmission to version 0.9-9 with previous version 0.9-8 dated 2024-11-08

Title: Stratified and Personalised Models Based on Model-Based Trees and Forests
Description: Model-based trees for subgroup analyses in clinical trials and model-based forests for the estimation and prediction of personalised treatment effects (personalised models). Currently partitioning of linear models, lm(), generalised linear models, glm(), and Weibull models, survreg(), is supported. Advanced plotting functionality is supported for the trees and a test for parameter heterogeneity is provided for the personalised models. For details on model-based trees for subgroup analyses see Seibold, Zeileis and Hothorn (2016) <doi:10.1515/ijb-2015-0032>; for details on model-based forests for estimation of individual treatment effects see Seibold, Zeileis and Hothorn (2017) <doi:10.1177/0962280217693034>.
Author: Heidi Seibold [aut, cre], Achim Zeileis [aut], Torsten Hothorn [aut]
Maintainer: Heidi Seibold <heidi@seibold.co>

This is a re-admission after prior archival of version 0.9-8 dated 2024-11-08

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Package ChinAPIs readmission to version 0.1.1 with previous version 0.1.0 dated 2025-08-26

Title: Access Chinese Data via Public APIs and Curated Datasets
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to China, such as holidays, economic indicators, and international demographic and geopolitical indicators. Additionally, the package includes one of the largest curated collections of open datasets focused on China and Hong Kong, covering topics such as air quality, demographics, input-output tables, epidemiology, political structure, names, and social indicators. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' <https://date.nager.at/Api>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'REST Countries API' <https://restcountries.com/>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2025-08-26

Diff between ChinAPIs versions 0.1.0 dated 2025-08-26 and 0.1.1 dated 2026-02-12

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Package BayesPower updated to version 1.0.2 with previous version 1.0.1 dated 2025-10-29

Title: Sample Size and Power Calculation for Bayesian Testing with Bayes Factor
Description: The goal of 'BayesPower' is to provide tools for Bayesian sample size determination and power analysis across a range of common hypothesis testing scenarios using Bayes factors. The main function, BayesPower_BayesFactor(), launches an interactive 'shiny' application for performing these analyses. The application also provides command-line code for reproducibility. Details of the methods are described in the tutorial by Wong, Pawel, and Tendeiro (2025) <doi:10.31234/osf.io/pgdac_v2>.
Author: Tsz Keung Wong [aut, cre], Samuel Pawel [aut], Jorge Tendeiro [aut]
Maintainer: Tsz Keung Wong <t.k.wong3004@gmail.com>

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Package tna updated to version 1.2.0 with previous version 1.1.0 dated 2025-10-18

Title: Transition Network Analysis (TNA)
Description: Provides tools for performing Transition Network Analysis (TNA) to study relational dynamics, including functions for building and plotting TNA models, calculating centrality measures, and identifying dominant events and patterns. TNA statistical techniques (e.g., bootstrapping and permutation tests) ensure the reliability of observed insights and confirm that identified dynamics are meaningful. See (Saqr et al., 2025) <doi:10.1145/3706468.3706513> for more details on TNA.
Author: Mohammed Saqr [aut], Santtu Tikka [aut], Sonsoles Lopez-Pernas [aut, cre]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>

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Package LorenzRegression updated to version 2.3.1 with previous version 2.3.0 dated 2025-08-20

Title: Lorenz and Penalized Lorenz Regressions
Description: Inference for the Lorenz and penalized Lorenz regressions. More broadly, the package proposes functions to assess inequality and graphically represent it. The Lorenz Regression procedure is introduced in Heuchenne and Jacquemain (2022) <doi:10.1016/j.csda.2021.107347> and in Jacquemain, A., C. Heuchenne, and E. Pircalabelu (2024) <doi:10.1214/23-EJS2200>.
Author: Alexandre Jacquemain [aut, cre] , Xingjie Shi [ctb]
Maintainer: Alexandre Jacquemain <aljacquemain@gmail.com>

Diff between LorenzRegression versions 2.3.0 dated 2025-08-20 and 2.3.1 dated 2026-02-12

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Package ISCAM updated to version 1.2.0 with previous version 1.0.0 dated 2025-11-11

Title: Companion to the Book "Investigating Statistical Concepts, Applications, and Methods"
Description: Introductory statistics methods to accompany "Investigating Statistical Concepts, Applications, and Methods" (ISCAM) by Beth Chance & Allan Rossman (2024) <https://rossmanchance.com/iscam4/>. Tools to introduce statistical concepts with a focus on simulation approaches. Functions are verbose, designed to provide ample output for students to understand what each function does. Additionally, most functions are accompanied with plots. The package is designed to be used in an educational setting alongside the ISCAM textbook.
Author: Beth Chance [cre, aut, cph], Visruth Srimath Kandali [aut]
Maintainer: Beth Chance <bchance@calpoly.edu>

Diff between ISCAM versions 1.0.0 dated 2025-11-11 and 1.2.0 dated 2026-02-12

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Package clmstan updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-10

Title: Cumulative Link Models with 'CmdStanR'
Description: Fits cumulative link models (CLMs) for ordinal categorical data using 'CmdStanR'. Supports various link functions including logit, probit, cloglog, loglog, cauchit, and flexible parametric links such as Generalized Extreme Value (GEV), Asymmetric Exponential Power (AEP), and Symmetric Power. Models are pre-compiled using the 'instantiate' package for fast execution without runtime compilation. Methods are described in Agresti (2010, ISBN:978-0-470-08289-8), Wang and Dey (2011) <doi:10.1007/s10651-010-0154-8>, and Naranjo, Perez, and Martin (2015) <doi:10.1007/s11222-014-9449-1>.
Author: Tomotaka Momozaki [aut, cre]
Maintainer: Tomotaka Momozaki <momozaki.stat@gmail.com>

Diff between clmstan versions 0.1.0 dated 2026-02-10 and 0.1.1 dated 2026-02-12

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New package ViroReportR with initial version 1.0.3
Package: ViroReportR
Title: Respiratory Viral Infection Forecast Reporting
Version: 1.0.3
Description: Tools for reporting and forecasting viral respiratory infections, using case surveillance data. Report generation tools for short-term forecasts, and validation metrics for an arbitrary number of customizable respiratory viruses. Estimation of the effective reproduction number is based on the 'EpiEstim' framework described in work by 'Cori' and colleagues. (2013) <doi:10.1093/aje/kwt133>.
License: GPL (>= 3)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
Imports: data.table, dplyr, EpiEstim, ggplot2, incidence, lubridate, projections, purrr, rlang, tibble, stats, utils, tidyr, glue, mgcv, kableExtra, cowplot
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://github.com/BCCDC-PHSA/ViroReportR
BugReports: https://github.com/BCCDC-PHSA/ViroReportR/issues
NeedsCompilation: no
Packaged: 2026-02-09 21:01:12 UTC; rebeca.falcao
Author: Mike Irvine [aut, cre, cph], Caesar Wong [aut], Nirupama Tamvada [aut], Rebeca Falcao [aut], Nelson Tang [aut]
Maintainer: Mike Irvine <mike.irvine@bccdc.ca>
Repository: CRAN
Date/Publication: 2026-02-12 08:10:21 UTC

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New package tissot with initial version 0.2.0
Package: tissot
Title: Tissot Indicatrix for Map Projection Distortion
Version: 0.2.0
Description: Compute and visualize the 'Tissot Indicatrix' for map projections. The indicatrix characterizes projection distortion by computing scale factors, angular deformation, areal distortion, and convergence at arbitrary points. Based on the calculations shared by Bill Huber on <https://gis.stackexchange.com/a/5075/482>. Uses 'GDAL' for coordinate transformation. Developed using the method published in Snyder, JP (1987) <doi:10.3133/pp1395>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: tibble, gdalraster, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
URL: https://github.com/hypertidy/tissot
BugReports: https://github.com/hypertidy/tissot/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-10 04:22:37 UTC; mdsumner
Author: Michael Sumner [aut, cre] , Bill Huber [aut]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:10:02 UTC

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New package tidylaslog with initial version 0.1.2
Package: tidylaslog
Title: Tidy Import, Indexing, and Export of LAS Well Log Data
Version: 0.1.2
Description: Provides tools for reading, parsing, indexing, and exporting LAS (Log ASCII Standard) well log files into tidy, analysis-ready tabular formats. The package separates LAS header information and log data into structured components, builds a searchable index across collections of LAS files, and enables reproducible subsetting of wells based on metadata or curve availability. Output tables can be written to CSV or Parquet formats to support large-scale statistical, machine learning, and earth science workflows. The tidy data structure follows Wickham (2014) <doi:10.18637/jss.v059.i10>. The LAS file structure follows the Canadian Well Logging Society LAS standard <https://www.cwls.org/wp-content/uploads/2017/02/Las2_Update_Jan2017.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, tibble, tidyr
Suggests: arrow, jsonlite, testthat (>= 3.0.0)
URL: https://github.com/Omodolor/tidylaslog
BugReports: https://github.com/Omodolor/tidylaslog/issues
NeedsCompilation: no
Packaged: 2026-02-10 04:26:05 UTC; hxo76
Author: Hope E. Omodolor [aut, cre]
Maintainer: Hope E. Omodolor <hopeomodolor@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:20:02 UTC

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Package tall updated to version 0.5.2 with previous version 0.5.1 dated 2025-12-12

Title: Text Analysis for All
Description: An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs. It is a versatile, general-purpose tool for analyzing textual data. 'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.
Author: Massimo Aria [aut, cre, cph] , Maria Spano [aut] , Luca D'Aniello [aut] , Corrado Cuccurullo [ctb] , Michelangelo Misuraca [ctb]
Maintainer: Massimo Aria <aria@unina.it>

Diff between tall versions 0.5.1 dated 2025-12-12 and 0.5.2 dated 2026-02-12

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More information about tall at CRAN
Permanent link

New package sshist with initial version 0.1.1
Package: sshist
Title: Optimal Histogram Binning Using Shimazaki-Shinomoto Method
Version: 0.1.1
Description: Implements the Shimazaki-Shinomoto method (2007) <doi:10.1162/neco.2007.19.6.1503> 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.
License: GPL (>= 3)
URL: https://github.com/celebithil/sshist, https://www.neuralengine.org/res/histogram.html
BugReports: https://github.com/celebithil/sshist/issues
Imports: graphics, grDevices, Rcpp, stats
Suggests: ggplot2, knitr, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-02-10 08:12:34 UTC; celebithil
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:20:08 UTC

More information about sshist at CRAN
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Package SBMTrees updated to version 1.5 with previous version 1.4 dated 2026-02-06

Title: Longitudinal Sequential Imputation and Prediction with Bayesian Trees Mixed-Effects Models for Longitudinal Data
Description: Implements a sequential imputation framework using Bayesian Mixed-Effects Trees ('SBMTrees') for handling missing data in longitudinal studies. The package supports a variety of models, including non-linear relationships and non-normal random effects and residuals, leveraging Dirichlet Process priors for increased flexibility. Key features include handling Missing at Random (MAR) longitudinal data, imputation of both covariates and outcomes, and generating posterior predictive samples for further analysis. The methodology is designed for applications in epidemiology, biostatistics, and other fields requiring robust handling of missing data in longitudinal settings.
Author: Jungang Zou [aut, cre], Liangyuan Hu [aut], Robert McCulloch [ctb], Rodney Sparapani [ctb], Charles Spanbauer [ctb], Robert Gramacy [ctb], Jean-Sebastien Roy [ctb]
Maintainer: Jungang Zou <jungang.zou@gmail.com>

Diff between SBMTrees versions 1.4 dated 2026-02-06 and 1.5 dated 2026-02-12

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Package rsurveycto updated to version 0.2.5 with previous version 0.2.4 dated 2025-12-22

Title: Interact with Data on 'SurveyCTO'
Description: 'SurveyCTO' is a platform for mobile data collection in offline settings. The 'rsurveycto' R package uses the 'SurveyCTO' REST API <https://docs.surveycto.com/05-exporting-and-publishing-data/05-api-access/01.api-access.html> to read datasets and forms from a 'SurveyCTO' server into R as 'data.table's and to download file attachments. The package also has limited support to write datasets to a server.
Author: Jake Hughey [aut, cre], Robert On [aut]
Maintainer: Jake Hughey <jake@agency.fund>

Diff between rsurveycto versions 0.2.4 dated 2025-12-22 and 0.2.5 dated 2026-02-12

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Package rcdf readmission to version 0.1.3 with previous version 0.1.2 dated 2025-12-03

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 Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) encryption.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>

This is a re-admission after prior archival of version 0.1.2 dated 2025-12-03

Diff between rcdf versions 0.1.2 dated 2025-12-03 and 0.1.3 dated 2026-02-12

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New package mixpower with initial version 0.1.0
Package: mixpower
Title: Simulation-Based Power Analysis for Mixed-Effects Models
Version: 0.1.0
Description: A comprehensive, simulation-based toolkit for power and sample-size analysis for linear and generalized linear mixed-effects models (LMMs and GLMMs). Supports Gaussian, binomial, Poisson, and negative binomial families via 'lme4'; Wald and likelihood-ratio tests; multi-parameter sensitivity grids; power curves and minimum sample-size solvers; parallel evaluation with deterministic seeds; and full reproducibility (manifests, result bundling, and export to CSV/JSON). Delivers thorough diagnostics per run (failure rate, singular-fit rate, effective N) and publication-ready summary tables. References: Bates et al. (2015) "Fitting Linear Mixed-Effects Models Using lme4" <doi:10.18637/jss.v067.i01>; Green and MacLeod (2016) "SIMR: an R package for power analysis of generalized linear mixed models by simulation" <doi:10.1111/2041-210X.12504>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, lme4
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, digest, jsonlite
VignetteBuilder: knitr
URL: https://github.com/alitovchenko/mixpower
BugReports: https://github.com/alitovchenko/mixpower/issues
NeedsCompilation: no
Packaged: 2026-02-10 06:29:07 UTC; alexanderlitovchenko
Author: Mixpower Alex Litovchenko [aut, cre]
Maintainer: Mixpower Alex Litovchenko <al4877@columbia.edu>
Repository: CRAN
Date/Publication: 2026-02-12 08:20:18 UTC

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New package measles with initial version 0.1.0
Package: measles
Title: Measles Epidemiological Models
Version: 0.1.0
Depends: R (>= 4.1.0), epiworldR (>= 0.11.0.1)
Description: A specialized collection of measles epidemiological models built on the 'epiworldR' framework. This package is a spinoff from 'epiworldR' focusing specifically on measles transmission dynamics. It includes models for school settings with quarantine and isolation policies, mixing models with population groups, and risk-based quarantine strategies. The models use Agent-Based Models (ABM) with a fast 'C++' backend from the 'epiworld' library. Ideal for studying measles outbreaks, vaccination strategies, and intervention policies.
URL: https://github.com/UofUEpiBio/measles
BugReports: https://github.com/UofUEpiBio/measles/issues
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: cpp11, epiworldR
Imports: utils
Suggests: tinytest, data.table, quarto
VignetteBuilder: quarto
LazyData: true
NeedsCompilation: yes
Packaged: 2026-02-03 18:26:59 UTC; runner
Author: George Vega Yon [aut, cre] , Damon Toth [ctb] , Jake Wagoner [ctb] , Olivia Banks [ctb] , Centers for Disease Control and Prevention [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:10:14 UTC

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Package MAGEE updated to version 1.4.5 with previous version 1.4.4 dated 2025-10-21

Title: Mixed Model Association Test for GEne-Environment Interaction
Description: Use a 'glmmkin' class object (GMMAT package) from the null model to perform generalized linear mixed model-based single-variant and variant set main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
Author: Xinyu Wang [aut], Han Chen [aut, cre], Duy Pham [aut], Kenneth Westerman [ctb], Cong Pan [aut], Eric Biggers [ctb, cph] , Tino Reichardt [ctb, cph] library), Meta Platforms, Inc. and affiliates [cph] library)
Maintainer: Han Chen <hanchenphd@gmail.com>

Diff between MAGEE versions 1.4.4 dated 2025-10-21 and 1.4.5 dated 2026-02-12

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New package kvr2 with initial version 0.1.0
Package: kvr2
Title: Calculate and Compare Multiple Definitions of Coefficient of Determination
Version: 0.1.0
Description: Calculate nine types of coefficients of determination (R-squared) based on the classification by Kvalseth (1985) <doi:10.1080/00031305.1985.10479448>. This package is designed for educational purposes to demonstrate how R-squared values can fluctuate depending on the choice of formula, particularly in power regression models or linear models without an intercept. By providing a comprehensive list of definitions, it helps users understand the mathematical sensitivity of goodness-of-fit indices.
URL: https://github.com/indenkun/kvr2, https://indenkun.github.io/kvr2/
BugReports: https://github.com/indenkun/kvr2/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-10 07:10:50 UTC; kobayashi
Author: Mao Kobayashi [aut, cre]
Maintainer: Mao Kobayashi <kobamao.jp@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:20:25 UTC

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Package gorica readmission to version 0.1.5 with previous version 0.1.4 dated 2023-10-11

Title: Evaluation of Inequality Constrained Hypotheses Using GORICA
Description: Implements the generalized order-restricted information criterion approximation (GORICA), an AIC-like information criterion that can be utilized to evaluate informative hypotheses specifying directional relationships between model parameters in terms of (in)equality constraints (see Altinisik, Van Lissa, Hoijtink, Oldehinkel, & Kuiper, 2021), <doi:10.31234/osf.io/t3c8g>. The GORICA is applicable not only to normal linear models, but also to generalized linear models (GLMs), generalized linear mixed models (GLMMs), structural equation models (SEMs), and contingency tables. For contingency tables, restrictions on cell probabilities can be non-linear.
Author: Rebecca M. Kuiper [aut], Altinisik Yasin [aut], Vanbrabant Leonard [ctb], Caspar J. van Lissa [aut, cre]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>

This is a re-admission after prior archival of version 0.1.4 dated 2023-10-11

Diff between gorica versions 0.1.4 dated 2023-10-11 and 0.1.5 dated 2026-02-12

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Package GHRexplore updated to version 0.2.2 with previous version 0.2.1 dated 2025-11-05

Title: Exploratory Analysis of Temporal and Spatio-Temporal Health Data
Description: A collection of commonly used visualizations of temporal and spatio-temporal health data including case counts, incidence rates, and covariates. The available plot types include time series, heatmaps, seasonality plots, maps and more. The package supports standard data transformations such as temporal and spatial aggregations, while offering extensive customization options for the resulting figures.
Author: Carles Mila [aut, cre] , Giovenale Moirano [aut] , Anna B. Kawiecki [aut] , Rachel Lowe [aut, cph]
Maintainer: Carles Mila <carles.milagarcia@bsc.es>

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Package CooccurrenceAffinity updated to version 2.0.0 with previous version 1.0.2 dated 2025-06-27

Title: Affinity in Co-Occurrence Data
Description: Computes a novel metric of affinity between two entities based on their co-occurrence (using binary presence/absence data). The metric and its maximum likelihood estimator (alpha hat) were advanced in Mainali, Slud, et al, 2021 <doi:10.1126/sciadv.abj9204>. Four types of confidence intervals and median interval were developed in Mainali and Slud, 2022 <doi:10.1101/2022.11.01.514801>. The `finches` dataset is bundled with the package.
Author: Kumar Mainali [aut, cre], Eric Slud [aut]
Maintainer: Kumar Mainali <kpmainali@gmail.com>

Diff between CooccurrenceAffinity versions 1.0.2 dated 2025-06-27 and 2.0.0 dated 2026-02-12

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Package pmmlTransformations (with last version 1.3.3) was removed from CRAN

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

2019-06-11 1.3.3
2018-08-14 1.3.2
2017-02-27 1.3.1
2015-08-05 1.3.0
2014-06-17 1.2.2
2013-10-22 1.2.1
2013-08-19 1.2
2013-06-12 1.1
2013-01-23 1.0

Permanent link
Package ChinAPIs (with last version 0.1.0) was removed from CRAN

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

2025-08-26 0.1.0

Permanent link
Package codebookr (with last version 0.1.8) was removed from CRAN

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

2024-02-19 0.1.8
2024-02-14 0.1.7
2023-03-16 0.1.6
2022-08-09 0.1.5
2022-07-18 0.1.4

Permanent link
Package tsg updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-09

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 0.1.0 dated 2025-11-09 and 0.1.1 dated 2026-02-12

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Package rtpcr updated to version 2.1.4 with previous version 2.1.3 dated 2026-02-03

Title: qPCR Data Analysis
Description: Tools for qPCR data analysis using Delta Ct and Delta Delta Ct methods, including t-test, Wilcoxon-test, ANOVA models, and publication-ready visualizations. The package supports multiple target, and multiple reference genes, and uses a calculation framework adopted from Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods.
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <mirzaghaderi@gmail.com>

Diff between rtpcr versions 2.1.3 dated 2026-02-03 and 2.1.4 dated 2026-02-12

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Package roxigraph updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-05

Title: 'RDF' and 'SPARQL' for R using 'Oxigraph'
Description: Provides 'RDF' storage and 'SPARQL' 1.1 query capabilities by wrapping the 'Oxigraph' graph database library <https://github.com/oxigraph/oxigraph>. Supports in-memory and persistent ('RocksDB') storage, multiple 'RDF' serialization formats ('Turtle', 'N-Triples', 'RDF-XML', 'N-Quads', 'TriG'), and full 'SPARQL' 1.1 Query and Update support. Built using the 'extendr' framework for 'Rust'-R bindings.
Author: Carl Boettiger [aut, cre] , Oxigraph Contributors [cph] , Authors of the dependency Rust crates [aut]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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New package golfastr with initial version 0.1.5
Package: golfastr
Title: Efficiently Access Pro Golf Data
Version: 0.1.5
Description: Fetch Professional Golfers' Association (PGA) Tour tournament data from ESPN <https://www.espn.com/golf/> including leaderboards and hole-by-hole scoring. Data is returned in tidy tibble format ready for analysis. Supports local storage via RDS or 'Apache Arrow' Parquet files for fast repeated access. Designed for golf analytics, data journalism, and fantasy sports research.
License: MIT + file LICENSE
Depends: R (>= 4.0)
Encoding: UTF-8
Imports: httr2, dplyr, tibble
Suggests: testthat (>= 3.0.0), arrow, ggplot2
URL: https://github.com/array-carpenter/golfastr
BugReports: https://github.com/array-carpenter/golfastr/issues
NeedsCompilation: no
Packaged: 2026-02-10 01:05:18 UTC; raycarpenter
Author: Ray Carpenter [aut, cre, cph]
Maintainer: Ray Carpenter <raymondcarpenter1@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:00:08 UTC

More information about golfastr at CRAN
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New package flexBART with initial version 2.0.3
Package: flexBART
Title: A More Flexible BART Model
Version: 2.0.3
Date: 2026-02-09
Description: Implements a faster and more expressive version of Bayesian Additive Regression Trees that, at a high level, approximates unknown functions as a weighted sum of binary regression tree ensembles. Supports fitting (generalized) linear varying coefficient models that posits a linear relationship between the inverse link and some covariates but allows that relationship to change as a function of other covariates. Additionally supports fitting heteroscedastic BART models, in which both the mean and log-variance are approximated with separate regression tree ensembles. A formula interface allows for different splitting variables to be used in each ensemble. For more details see Deshpande (2025) <doi:10.1080/10618600.2024.2431072> and Deshpande et al. (2024) <doi:10.1214/24-BA1470>.
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp (>= 1.0.12), glmnet (>= 4.0), methods
Suggests: igraph, knitr, quarto
URL: https://skdeshpande91.github.io/flexBART/
NeedsCompilation: yes
Packaged: 2026-02-10 01:39:10 UTC; sameer
Author: Sameer K. Deshpande [aut, cre] , George Perrett [aut] , Ryan Yee [aut] , Cecilia Balocchi [aut] , Jennifer Hill [aut]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>
Repository: CRAN
Date/Publication: 2026-02-12 08:00:15 UTC

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Package cmbClust updated to version 0.0.2 with previous version 0.0.1 dated 2022-11-03

Title: Conditional Mixture Modeling and Model-Based Clustering
Description: Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.
Author: Yang Wang [aut, cre], Volodymyr Melnykov [aut], Stephen Moshier [ctb] , Rouben Rostamian [ctb]
Maintainer: Yang Wang <wangy00808@gmail.com>

Diff between cmbClust versions 0.0.1 dated 2022-11-03 and 0.0.2 dated 2026-02-12

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New package CASIdata with initial version 0.2.1
Package: CASIdata
Title: Datasets from Computer Age Statistical Inference
Version: 0.2.1
Description: Provides the datasets from Efron & Hastie (2016, ISBN: 9781108107952), "Computer Age Statistical Inference: Algorithms, Evidence, and Data Science", in an accessible R format for those who want to use them for study or to try to reproduce analyses from the book.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, vcdExtra, car
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/friendly/CASIdata, https://friendly.github.io/CASIdata/
BugReports: https://github.com/friendly/CASIdata/issues
NeedsCompilation: no
Packaged: 2026-02-10 01:24:21 UTC; friendly
Author: Michael Friendly [aut, cre]
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2026-02-12 08:00:20 UTC

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New package BayesPET with initial version 0.1.0
Package: BayesPET
Title: Bayesian Prediction of Event Times for Blinded Randomized Controlled Trials
Version: 0.1.0
Date: 2026-02-04
Description: Bayesian methods for predicting the calendar time at which a target number of events is reached in clinical trials. The methodology applies to both blinded and unblinded settings and jointly models enrollment, event-time, and censoring processes. The package provides tools for trial data simulation, model fitting using 'Stan' via the 'rstan' interface, and event time prediction under a wide range of trial designs, including varying sample sizes, enrollment patterns, treatment effects, and event or censoring time distributions. The package is intended to support interim monitoring, operational planning, and decision-making in clinical trial development. Methods are described in Fu et al. (2025) <doi:10.1002/sim.70310>.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 4.1.0)
Imports: dplyr, magrittr, methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), utils, furrr, future, readr, tibble, tidyr, reshape2
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
LazyData: true
NeedsCompilation: yes
Packaged: 2026-02-09 23:50:47 UTC; admin
Author: Xinyi He [cre, aut], Jingyan Fu [aut], Ying Yuan [aut, cph]
Maintainer: Xinyi He <xinyi.he@uth.tmc.edu>
Repository: CRAN
Date/Publication: 2026-02-12 08:00:26 UTC

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Package ZIHINAR1 updated to version 0.2.1 with previous version 0.2.0 dated 2026-01-25

Title: Zero-Inflated and Hurdle INAR(1) Models
Description: Provides tools for estimating Zero-Inflated INAR(1) (ZI-INAR(1)) and Hurdle INAR(1) (H-INAR(1)) models using 'Stan'. It allows users to simulate time series data for these models, estimate parameters, and evaluate model fit using various criteria. Functions include model estimation, simulation, and likelihood-based metrics.
Author: Fusheng Yang [aut, cre], Victor Hugo Lachos Davila [aut]
Maintainer: Fusheng Yang <fusheng.yang@uconn.edu>

Diff between ZIHINAR1 versions 0.2.0 dated 2026-01-25 and 0.2.1 dated 2026-02-12

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Package randomForestSRC updated to version 3.5.1 with previous version 3.5.0 dated 2026-01-11

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

Diff between randomForestSRC versions 3.5.0 dated 2026-01-11 and 3.5.1 dated 2026-02-12

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Package np updated to version 0.60-20 with previous version 0.60-19 dated 2026-01-29

Title: Nonparametric Kernel Smoothing Methods for Mixed Data Types
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package MultiBD updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-29

Title: Multivariate Birth-Death Processes
Description: Computationally efficient functions to provide direct likelihood-based inference for partially-observed multivariate birth-death processes. Such processes range from a simple Yule model to the complex susceptible-infectious-removed model in disease dynamics. Efficient likelihood evaluation facilitates maximum likelihood estimation and Bayesian inference.
Author: Lam S.T. Ho [aut], Marc A. Suchard [aut, cre], Forrest W. Crawford [aut], Jason Xu [ctb], Vladimir N. Minin [ctb]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between MultiBD versions 1.0.0 dated 2025-11-29 and 1.0.1 dated 2026-02-12

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Package Lahman updated to version 14.0-0 with previous version 13.0-0 dated 2025-09-08

Title: Sean 'Lahman' Baseball Database
Description: Provides the tables from the 'Sean Lahman Baseball Database' as a set of R data.frames. It uses the data on pitching, hitting and fielding performance and other tables from 1871 through 2024, as recorded in the 2025 version of the database. Documentation examples show how many baseball questions can be investigated.
Author: Michael Friendly [aut], Chris Dalzell [cre, aut], Martin Monkman [aut], Dennis Murphy [aut], Vanessa Foot [ctb], Justeena Zaki-Azat [ctb], Daniel J Eck [ctb], Sean Lahman [cph]
Maintainer: Chris Dalzell <cdalzell@gmail.com>

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Package conover.test updated to version 1.1.7 with previous version 1.1.6 dated 2024-04-09

Title: Conover-Iman Test of Multiple Comparisons Using Rank Sums
Description: Computes the Conover-Iman test (1979) for 0th-order stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis omnibus test for i0th-order stochastic dominance among k groups (Kruskal and Wallis, 1952). conover.test makes k(k-1)/2 multiple pairwise comparisons based on Conover-Iman t-test-statistic of the rank differences. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. Like the rank-sum test, if the data can be assumed to be continuous, and the distributions are assumed identical except for a difference in location, Conover-Iman test may be understood as a test for median difference and for mean difference. conover.test accounts for tied ranks. The Conover-Iman test is strictly valid if and [...truncated...]
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Wed, 11 Feb 2026

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

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

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

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

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

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

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

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

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

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

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

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

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

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

More information about simevent at CRAN
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