Fri, 23 Jan 2026

Package orderly updated to version 2.0.3 with previous version 2.0.0 dated 2025-10-09

Title: Lightweight Reproducible Reporting
Description: Distributed reproducible computing framework, adopting ideas from git, docker and other software. By defining a lightweight interface around the inputs and outputs of an analysis, a lot of the repetitive work for reproducible research can be automated. We define a simple format for organising and describing work that facilitates collaborative reproducible research and acknowledges that all analyses are run multiple times over their lifespans.
Author: Rich FitzJohn [aut, cre], Robert Ashton [aut], Martin Eden [aut], Alex Hill [aut], Wes Hinsley [aut], Mantra Kusumgar [aut], Paul Lietar [aut], James Thompson [aut], Katy Gaythorpe [aut], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between orderly versions 2.0.0 dated 2025-10-09 and 2.0.3 dated 2026-01-23

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Package jds.rmd updated to version 0.3.4 with previous version 0.3.3 dated 2023-06-20

Title: R Markdown Templates for Journal of Data Science
Description: Customized R Markdown templates for authoring articles for Journal of Data Science.
Author: Wenjie Wang [aut, cre] , Jun Yan [aut]
Maintainer: Wenjie Wang <wang@wwenjie.org>

Diff between jds.rmd versions 0.3.3 dated 2023-06-20 and 0.3.4 dated 2026-01-23

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Package subniche readmission to version 1.6 with previous version 1.5 dated 2022-07-15

Title: Within Outlying Mean Indexes: Refining the 'OMI' Analysis
Description: Complementary indexes calculation to the Outlying Mean Index analysis to explore niche shift of a community and biological constraint within an Euclidean space, with graphical displays. For details see Karasiewicz 'et al.' (2017) <doi:10.7717/peerj.3364>.
Author: Stephane Karasiewicz [aut, cre]
Maintainer: Stephane Karasiewicz <skaraz.science@gmail.com>

This is a re-admission after prior archival of version 1.5 dated 2022-07-15

Diff between subniche versions 1.5 dated 2022-07-15 and 1.6 dated 2026-01-23

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Package fuzzylink updated to version 0.3.0 with previous version 0.2.5 dated 2025-08-29

Title: Probabilistic Record Linkage Using Pretrained Text Embeddings
Description: Links datasets through fuzzy string matching using pretrained text embeddings. Produces more accurate record linkage when lexical string distance metrics are a poor guide to match quality (e.g., "Patricia" is more lexically similar to "Patrick" than it is to "Trish"). Capable of performing multilingual record linkage. Methods are described in Ornstein (2025) <doi:10.1017/pan.2025.10016>.
Author: Joe Ornstein [aut, cre, cph]
Maintainer: Joe Ornstein <jornstein@uga.edu>

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Package docorator updated to version 0.5.2 with previous version 0.5.1 dated 2026-01-08

Title: Docorate (Decorate + Output) Displays
Description: A framework for creating production outputs. Users can frame a table, listing, or figure with headers and footers and save to an output file. Stores an intermediate 'docorator' object for reproducibility and rendering to multiple output types.
Author: Becca Krouse [aut, cre], Shannon Haughton [aut], Seongbin Hong [aut], Dragoș Moldovan-Gruenfeld [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Becca Krouse <becca.z.krouse@gsk.com>

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Package toxEval updated to version 1.4.2 with previous version 1.4.1 dated 2025-09-30

Title: Exploring Biological Relevance of Environmental Chemistry Observations
Description: Data analysis package for estimating potential biological effects from chemical concentrations in environmental samples. Included are a set of functions to analyze, visualize, and organize measured concentration data as it relates to user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological relevance of environmental chemistry data. Results can be used to prioritize which chemicals at which sites may be of greatest concern. These methods are meant to be used as a screening technique to predict potential for biological influence from chemicals that ultimately need to be validated with direct biological assays. A description of the analysis can be found in Blackwell (2017) <doi:10.1021/acs.est.7b01613>.
Author: Laura DeCicco [aut, cre] , Steven Corsi [aut] , Daniel Villeneuve [aut] , Brett Blackwell [aut] , Gerald Ankley [aut] , Alison Appling [rev] , Dalma Martinovic [rev]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package rbmi readmission to version 1.6.0 with previous version 1.5.2 dated 2025-10-28

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.
Author: Lukas A. Widmer [aut, cre], Craig Gower-Page [aut], Isaac Gravestock [aut], Alessandro Noci [aut], Marcel Wolbers [ctb], Daniel Sabanes Bove [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Lukas A. Widmer <lukas_andreas.widmer@novartis.com>

This is a re-admission after prior archival of version 1.5.2 dated 2025-10-28

Diff between rbmi versions 1.5.2 dated 2025-10-28 and 1.6.0 dated 2026-01-23

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Package ncdfCF updated to version 0.8.0 with previous version 0.7.0 dated 2025-09-13

Title: Easy Access to NetCDF Files with CF Metadata Conventions
Description: Network Common Data Form ('netCDF') files are widely used for scientific data. Library-level access in R is provided through packages 'RNetCDF' and 'ncdf4'. Package 'ncdfCF' is built on top of 'RNetCDF' and makes the data and its attributes available as a set of R6 classes that are informed by the Climate and Forecasting Metadata Conventions. Access to the data uses standard R subsetting operators and common function forms.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

Diff between ncdfCF versions 0.7.0 dated 2025-09-13 and 0.8.0 dated 2026-01-23

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 ncdfCF-0.8.0/ncdfCF/DESCRIPTION                                                                      |   23 
 ncdfCF-0.8.0/ncdfCF/LICENSE                                                                          |    2 
 ncdfCF-0.8.0/ncdfCF/MD5                                                                              |  179 +--
 ncdfCF-0.8.0/ncdfCF/NAMESPACE                                                                        |    5 
 ncdfCF-0.8.0/ncdfCF/NEWS.md                                                                          |   31 
 ncdfCF-0.8.0/ncdfCF/R/AOI.R                                                                          |   38 
 ncdfCF-0.8.0/ncdfCF/R/AOImethod.R                                                                    |    2 
 ncdfCF-0.8.0/ncdfCF/R/CFAuxiliaryLongLat.R                                                           |   56 -
 ncdfCF-0.8.0/ncdfCF/R/CFAxis.R                                                                       |  166 ++
 ncdfCF-0.8.0/ncdfCF/R/CFAxisCharacter.R                                                              |   41 
 ncdfCF-0.8.0/ncdfCF/R/CFAxisDiscrete.R                                                               |   22 
 ncdfCF-0.8.0/ncdfCF/R/CFAxisLatitude.R                                                               |   38 
 ncdfCF-0.8.0/ncdfCF/R/CFAxisLongitude.R                                                              |   36 
 ncdfCF-0.8.0/ncdfCF/R/CFAxisNumeric.R                                                                |   46 
 ncdfCF-0.8.0/ncdfCF/R/CFAxisTime.R                                                                   |  136 +-
 ncdfCF-0.8.0/ncdfCF/R/CFAxisVertical.R                                                               |  127 +-
 ncdfCF-0.8.0/ncdfCF/R/CFBounds.R                                                                     |   77 -
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 ncdfCF-0.8.0/ncdfCF/R/CFDataset.R                                                                    |  209 ++-
 ncdfCF-0.8.0/ncdfCF/R/CFGridMapping.R                                                                |   18 
 ncdfCF-0.8.0/ncdfCF/R/CFGroup.R                                                                      |only
 ncdfCF-0.8.0/ncdfCF/R/CFLabel.R                                                                      |  141 +-
 ncdfCF-0.8.0/ncdfCF/R/CFObject.R                                                                     |  407 ++-----
 ncdfCF-0.8.0/ncdfCF/R/CFStandardNames.R                                                              |    2 
 ncdfCF-0.8.0/ncdfCF/R/CFVariable.R                                                                   |  559 +++++-----
 ncdfCF-0.8.0/ncdfCF/R/CFVariableL3b.R                                                                |   43 
 ncdfCF-0.8.0/ncdfCF/R/CFVerticalParametricTerm.R                                                     |    5 
 ncdfCF-0.8.0/ncdfCF/R/NCDimension.R                                                                  |   21 
 ncdfCF-0.8.0/ncdfCF/R/NCGroup.R                                                                      |  405 ++-----
 ncdfCF-0.8.0/ncdfCF/R/NCObject.R                                                                     |   65 -
 ncdfCF-0.8.0/ncdfCF/R/NCResource.R                                                                   |only
 ncdfCF-0.8.0/ncdfCF/R/NCVariable.R                                                                   |  107 +
 ncdfCF-0.8.0/ncdfCF/R/makeCFObjects.R                                                                |  256 +++-
 ncdfCF-0.8.0/ncdfCF/R/ncdfCF-package.R                                                               |   12 
 ncdfCF-0.8.0/ncdfCF/R/ops.R                                                                          |    8 
 ncdfCF-0.8.0/ncdfCF/R/readCF.R                                                                       |  431 ++++---
 ncdfCF-0.8.0/ncdfCF/R/utils.R                                                                        |   29 
 ncdfCF-0.8.0/ncdfCF/README.md                                                                        |  190 +--
 ncdfCF-0.8.0/ncdfCF/TODO                                                                             |   68 -
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 ncdfCF-0.8.0/ncdfCF/man/CFAuxiliaryLongLat.Rd                                                        |   33 
 ncdfCF-0.8.0/ncdfCF/man/CFAxis.Rd                                                                    |   77 +
 ncdfCF-0.8.0/ncdfCF/man/CFAxisCharacter.Rd                                                           |   26 
 ncdfCF-0.8.0/ncdfCF/man/CFAxisDiscrete.Rd                                                            |   21 
 ncdfCF-0.8.0/ncdfCF/man/CFAxisLatitude.Rd                                                            |   26 
 ncdfCF-0.8.0/ncdfCF/man/CFAxisLongitude.Rd                                                           |   24 
 ncdfCF-0.8.0/ncdfCF/man/CFAxisNumeric.Rd                                                             |   26 
 ncdfCF-0.8.0/ncdfCF/man/CFAxisTime.Rd                                                                |   57 -
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 ncdfCF-0.8.0/ncdfCF/man/CFBounds.Rd                                                                  |   50 
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 ncdfCF-0.8.0/ncdfCF/man/CFDataset.Rd                                                                 |  197 +++
 ncdfCF-0.8.0/ncdfCF/man/CFGridMapping.Rd                                                             |   35 
 ncdfCF-0.8.0/ncdfCF/man/CFGroup.Rd                                                                   |only
 ncdfCF-0.8.0/ncdfCF/man/CFLabel.Rd                                                                   |  117 +-
 ncdfCF-0.8.0/ncdfCF/man/CFObject.Rd                                                                  |  171 +--
 ncdfCF-0.8.0/ncdfCF/man/CFVariable.Rd                                                                |  199 ++-
 ncdfCF-0.8.0/ncdfCF/man/CFVariableL3b.Rd                                                             |   27 
 ncdfCF-0.8.0/ncdfCF/man/CFVerticalParametricTerm.Rd                                                  |   27 
 ncdfCF-0.8.0/ncdfCF/man/NCDimension.Rd                                                               |   10 
 ncdfCF-0.8.0/ncdfCF/man/NCGroup.Rd                                                                   |  263 +---
 ncdfCF-0.8.0/ncdfCF/man/NCObject.Rd                                                                  |   16 
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 ncdfCF-0.8.0/ncdfCF/man/NCVariable.Rd                                                                |   66 +
 ncdfCF-0.8.0/ncdfCF/man/arrayOps.Rd                                                                  |    3 
 ncdfCF-0.8.0/ncdfCF/man/as_CF.Rd                                                                     |   38 
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 ncdfCF-0.8.0/ncdfCF/man/dim.CFAxis.Rd                                                                |    7 
 ncdfCF-0.8.0/ncdfCF/man/dimnames.Rd                                                                  |    6 
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 ncdfCF-0.8.0/ncdfCF/man/makeAxis.Rd                                                                  |   12 
 ncdfCF-0.8.0/ncdfCF/man/makeCharacterAxis.Rd                                                         |    5 
 ncdfCF-0.8.0/ncdfCF/man/makeDiscreteAxis.Rd                                                          |    5 
 ncdfCF-0.8.0/ncdfCF/man/makeLatitudeAxis.Rd                                                          |   11 
 ncdfCF-0.8.0/ncdfCF/man/makeLongitudeAxis.Rd                                                         |   11 
 ncdfCF-0.8.0/ncdfCF/man/makeTimeAxis.Rd                                                              |    5 
 ncdfCF-0.8.0/ncdfCF/man/makeVerticalAxis.Rd                                                          |   11 
 ncdfCF-0.8.0/ncdfCF/man/ncdfCF-package.Rd                                                            |   13 
 ncdfCF-0.8.0/ncdfCF/man/open_ncdf.Rd                                                                 |   10 
 ncdfCF-0.8.0/ncdfCF/man/str.CFAxis.Rd                                                                |    1 
 ncdfCF-0.8.0/ncdfCF/man/str.CFDataset.Rd                                                             |    1 
 ncdfCF-0.8.0/ncdfCF/man/sub-sub-.CFDataset.Rd                                                        |    2 
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Package webtrackR updated to version 0.3.2 with previous version 0.3.1 dated 2024-04-30

Title: Preprocessing and Analyzing Web Tracking Data
Description: Data structures and methods to work with web tracking data. The functions cover data preprocessing steps, enriching web tracking data with external information and methods for the analysis of digital behavior as used in several academic papers (e.g., Clemm von Hohenberg et al., 2023 <doi:10.17605/OSF.IO/M3U9P>; Stier et al., 2022 <doi:10.1017/S0003055421001222>).
Author: David Schoch [aut, cre] , Bernhard Clemm von Hohenberg [aut] , Frank Mangold [aut] , Sebastian Stier [aut]
Maintainer: David Schoch <david@schochastics.net>

Diff between webtrackR versions 0.3.1 dated 2024-04-30 and 0.3.2 dated 2026-01-23

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Package textplot updated to version 0.2.3 with previous version 0.2.2 dated 2022-07-17

Title: Text Plots
Description: Visualise complex relations in texts. This is done by providing functionalities for displaying text co-occurrence networks, text correlation networks, dependency relationships as well as text clustering and semantic text 'embeddings'. Feel free to join the effort of providing interesting text visualisations. Do note that to avoid the risk of CRAN archival that you should put packages as much as possible in Suggests. Package 'ggalt' is available in the CRAN archive: <https://cran.r-project.org/package=ggalt>.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Sacha Epskamp [ctb, cph] , Ingo Feinerer and Kurt Hornik [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package SEQTaRget updated to version 1.3.4 with previous version 1.3.3 dated 2026-01-08

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Alejandro Szmulewicz [aut] , Tom Palmer [aut] , Miguel Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryan.odea@psi.ch>

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Package ragnar updated to version 0.3.0 with previous version 0.2.1 dated 2025-08-19

Title: Retrieval-Augmented Generation (RAG) Workflows
Description: Provides tools for implementing Retrieval-Augmented Generation (RAG) workflows with Large Language Models (LLM). Includes functions for document processing, text chunking, embedding generation, storage management, and content retrieval. Supports various document types and embedding providers ('Ollama', 'OpenAI'), with 'DuckDB' as the default storage backend. Integrates with the 'ellmer' package to equip chat objects with retrieval capabilities. Designed to offer both sensible defaults and customization options with transparent access to intermediate outputs. For a review of retrieval-augmented generation methods, see Gao et al. (2023) "Retrieval-Augmented Generation for Large Language Models: A Survey" <doi:10.48550/arXiv.2312.10997>.
Author: Tomasz Kalinowski [aut, cre], Daniel Falbel [aut], Posit Software, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package OVL.CI updated to version 0.1.1 with previous version 0.1.0 dated 2023-11-13

Title: Inference on the Overlap Coefficient
Description: Provides functions to construct confidence intervals for the Overlap Coefficient (OVL). OVL measures the similarity between two distributions through the overlapping area of their distribution functions. Given its intuitive description and ease of visual representation by the straightforward depiction of the amount of overlap between the two corresponding histograms based on samples of measurements from each one of the two distributions, the development of accurate methods for confidence interval construction can be useful for applied researchers. Implements methods based on the work of Franco-Pereira, A.M., Nakas, C.T., Reiser, B., and Pardo, M.C. (2021) <doi:10.1177/09622802211046386> as well as extensions for multimodal distributions proposed by Alcaraz-Peñalba, A., Franco-Pereira, A., and Pardo, M.C. (2025) <doi:10.1007/s10182-025-00545-2>.
Author: Alba M. Franco-Pereira [aut, cre, cph], Christos T. Nakas [aut], Benjamin Reiser [aut], M.Carmen Pardo [aut], Alba Alcaraz-Penalba [aut, cph]
Maintainer: Alba M. Franco-Pereira <albfranc@ucm.es>

Diff between OVL.CI versions 0.1.0 dated 2023-11-13 and 0.1.1 dated 2026-01-23

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Package netClust readmission to version 1.0.2 with previous version 1.0.1 dated 2020-07-07

Title: Model-Based Clustering of Network Data
Description: Clustering unilayer and multilayer network data by means of finite mixtures is the main utility of netClust.
Author: Shuchismita Sarkar [aut, cre], Volodymyr Melnykov [aut]
Maintainer: Shuchismita Sarkar <ssarkar@bgsu.edu>

This is a re-admission after prior archival of version 1.0.1 dated 2020-07-07

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Package healthyR.ts readmission to version 0.3.2 with previous version 0.3.1 dated 2024-10-11

Title: The Time Series Modeling Companion to 'healthyR'
Description: Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

This is a re-admission after prior archival of version 0.3.1 dated 2024-10-11

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Package ggfootball updated to version 0.3.0 with previous version 0.2.2 dated 2026-01-23

Title: Plotting Football Matches Expected Goals (xG) Stats with 'Understat' Data
Description: Scrapes football match shots data from 'Understat' <https://understat.com/> and visualizes it using interactive plots: - A detailed shot map displaying the location, type, and xG value of shots taken by both teams. - An xG timeline chart showing the cumulative xG for each team over time, annotated with the details of scored goals.
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>

Diff between ggfootball versions 0.2.2 dated 2026-01-23 and 0.3.0 dated 2026-01-23

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Package geocodebr updated to version 0.6.0 with previous version 0.5.0 dated 2025-12-09

Title: Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)
Description: Método simples e eficiente de geolocalizar dados no Brasil. O pacote é baseado em conjuntos de dados espaciais abertos de endereços brasileiros, utilizando como fonte principal o Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE). O CNEFE é publicado pelo Instituto Brasileiro de Geografia e Estatística (IBGE), órgão oficial de estatísticas e geografia do Brasil. (A simple and efficient method for geolocating data in Brazil. The package is based on open spatial datasets of Brazilian addresses, primarily using the Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE), published by the Instituto Brasileiro de Geografia e Estatística (IBGE), Brazil's official statistics and geography agency.)
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Gabriel Garcia de Almeida [aut] , Arthur Bazolli [ctb], Pedro Milreu Cunha [ctb], ITpS - Instituto Todos pela Saude [fnd], Ipea - Instituto de Pesquisa Economica Aplicada [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package fastgeojson updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-19

Title: High-Performance 'GeoJSON' and 'JSON' Serialization
Description: Converts R data frames and 'sf' spatial objects into 'JSON' and 'GeoJSON' strings. The core encoders are implemented in 'Rust' using the 'extendr' framework and are designed to efficiently serialize large tabular and spatial datasets. Returns serialized 'JSON' text, allowing applications such as 'shiny' or web APIs to transfer data to client-side 'JavaScript' libraries without additional encoding overhead.
Author: Alex Jorion [aut, cre], The authors of the dependency Rust crates [ctb]
Maintainer: Alex Jorion <alex.jorion@firstzeroenergy.com>

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Package dpkg updated to version 0.6.2 with previous version 0.6.1 dated 2025-01-08

Title: Create, Stow, and Read Data Packages
Description: Data frame, tibble, or tbl objects are converted to data package objects using specific metadata labels (name, version, title, homepage, description). A data package object ('dpkg') can be written to disk as a 'parquet' file or released to a 'GitHub' repository. Data package objects can be read into R from online repositories and downloaded files are cached locally across R sessions.
Author: Cole Brokamp [aut, cre, cph]
Maintainer: Cole Brokamp <cole@colebrokamp.com>

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Package carbonpredict updated to version 2.0.1 with previous version 2.0.0 dated 2025-10-29

Title: Predict Carbon Emissions for UK SMEs
Description: Predict Scope 1, 2 and 3 carbon emissions for UK Small and Medium-sized Enterprises (SMEs), using Standard Industrial Classification (SIC) codes and annual turnover data, as well as Scope 1 carbon emissions for UK farms. The 'carbonpredict' package provides single and batch prediction, plotting, and workflow tools for carbon accounting and reporting. The package utilises pre-trained models, leveraging rich classified transaction data to accurately predict Scope 1, 2 and 3 carbon emissions for UK SMEs as well as identifying emissions hotspots. It also provides Scope 1 carbon emissions predictions for UK farms of types: Cereals ex. rice, Dairy, Mixed farming, Sheep and goats, Cattle & buffaloes, Poultry, Animal production and Support for crop production. The methodology used to produce the estimates in this package is fully detailed in the following peer-reviewed publications: Phillpotts, A., Owen. A., Norman, J., Trendl, A., Gathergood, J., Jobst, Norbert., Leake, D. (2025) <doi [...truncated...]
Author: Hamza Suleman [aut, cre, cph], Alec Phillpotts [ctb, aut], Jasmine Wells [ctb, aut], David Leake [ctb, aut]
Maintainer: Hamza Suleman <Hamza.Suleman@lloydsbanking.com>

Diff between carbonpredict versions 2.0.0 dated 2025-10-29 and 2.0.1 dated 2026-01-23

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Package vctrs updated to version 0.7.1 with previous version 0.7.0 dated 2026-01-16

Title: Vector Helpers
Description: Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.
Author: Hadley Wickham [aut], Lionel Henry [aut], Davis Vaughan [aut, cre], data.table team [cph] and their contribution to R's order), Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package propertee updated to version 1.0.4 with previous version 1.0.3 dated 2025-10-28

Title: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment
Description: The Prognostic Regression Offsets with Propagation of ERrors (for Treatment Effect Estimation) package facilitates direct adjustment for experiments and observational studies that is compatible with a range of study designs and covariance adjustment strategies. It uses explicit specification of clusters, blocks and treatment allocations to furnish probability of assignment-based weights targeting any of several average treatment effect parameters, and for standard error calculations reflecting these design parameters. For covariance adjustment of its Hajek and (one-way) fixed effects estimates, it enables offsetting the outcome against predictions from a dedicated covariance model, with standard error calculations propagating error as appropriate from the covariance model.
Author: Josh Errickson [cre, aut], Josh Wasserman [aut], Mark Fredrickson [ctb], Adam Sales [ctb], Xinhe Wang [ctb], Ben Hansen [aut]
Maintainer: Josh Errickson <jerrick@umich.edu>

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Package mlr3summary updated to version 0.1.1 with previous version 0.1.0 dated 2024-04-24

Title: Model and Learner Summaries for 'mlr3'
Description: Concise and interpretable summaries for machine learning models and learners of the 'mlr3' ecosystem. The package takes inspiration from the summary function for (generalized) linear models but extends it to non-parametric machine learning models, based on generalization performance, model complexity, feature importances and effects, and fairness metrics.
Author: Susanne Dandl [aut, cre] , Marc Becker [aut] , Bernd Bischl [aut] , Giuseppe Casalicchio [aut] , Ludwig Bothmann [aut]
Maintainer: Susanne Dandl <dandls.datascience@gmail.com>

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Package dataRetrieval updated to version 2.7.22 with previous version 2.7.21 dated 2025-08-20

Title: Retrieval Functions for USGS and EPA Hydrology and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey and U.S. Environmental Protection Agency water quality and hydrology data from web services.
Author: Laura DeCicco [aut, cre] , Robert Hirsch [aut] , David Lorenz [aut], Jordan Read [ctb], Jordan Walker [ctb], Lindsay Platt [ctb], David Watkins [aut] , David Blodgett [aut] , Mike Johnson [aut] , Aliesha Krall [ctb] , Lee Stanish [ctb] , Joeseph Zemm [...truncated...]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package Colossus updated to version 1.4.9 with previous version 1.4.6 dated 2025-12-16

Title: "Risk Model Regression and Analysis with Complex Non-Linear Models"
Description: Performs survival analysis using general non-linear models. Risk models can be the sum or product of terms. Each term is the product of exponential/linear functions of covariates. Additionally sub-terms can be defined as a sum of exponential, linear threshold, and step functions. Cox Proportional hazards <https://en.wikipedia.org/wiki/Proportional_hazards_model>, Poisson <https://en.wikipedia.org/wiki/Poisson_regression>, and Fine-Gray competing risks <https://www.publichealth.columbia.edu/research/population-health-methods/competing-risk-analysis> regression are supported. This work was sponsored by NASA Grants 80NSSC19M0161 and 80NSSC23M0129 through a subcontract from the National Council on Radiation Protection and Measurements (NCRP). The computing for this project was performed on the Beocat Research Cluster at Kansas State University, which is funded in part by NSF grants CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332, and NIH P20GM113109.
Author: Eric Giunta [aut, cre] , Amir Bahadori [ctb] , Dan Andresen [ctb] , Linda Walsh [ctb] , Benjamin French [ctb] , Lawrence Dauer [ctb] , John Boice Jr [ctb] , Kansas State University [cph], NASA [fnd], NCRP [fnd], NRC [fnd]
Maintainer: Eric Giunta <egiunta@ksu.edu>

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Package admiralvaccine updated to version 0.6.0 with previous version 0.5.0 dated 2025-09-18

Title: Vaccine Extension Package for ADaM in 'R' Asset Library
Description: Programming vaccine specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. Flat model is followed as per Center for Biologics Evaluation and Research (CBER) guidelines for creating vaccine specific domains. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>). The package is an extension package of the 'admiral' package.
Author: Arjun Rubalingam [aut, cre], Sukalpo Saha [aut, ctb], Ben Straub [aut], Vikram S [aut], Dhivya Kanagaraj [aut], Federico Baratin [aut], Yamini Purna Bollu [aut], Ilse Augustyns [aut], Kalyani Bodicherla [aut], Hilde Delanghe [aut], Lee Armishaw [aut] [...truncated...]
Maintainer: Arjun Rubalingam <arjun.rubalingam@pfizer.com>

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Package SCDB updated to version 0.6.0 with previous version 0.5.2 dated 2026-01-08

Title: Easily Access and Maintain Time-Based Versioned Data (Slowly-Changing-Dimension)
Description: A collection of functions that enable easy access and updating of a database of data over time. More specifically, the package facilitates type-2 history for data-warehouses and provides a number of Quality of life improvements for working on SQL databases with R. For reference see Ralph Kimball and Margy Ross (2013, ISBN 9781118530801).
Author: Rasmus Skytte Randloev [aut, cre, rev] , Marcus Munch Gruenewald [aut] , Lasse Engbo Christiansen [rev, ctb] , Sofia Myrup Otero [rev], Kim Daniel Jacobsen [ctb], Statens Serum Institut [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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Package nptest updated to version 1.2 with previous version 1.1 dated 2023-04-14

Title: Nonparametric Bootstrap and Permutation Tests
Description: Robust nonparametric bootstrap and permutation tests for goodness of fit, distribution equivalence, location, correlation, and regression problems, as described in Helwig (2019a) <doi:10.1002/wics.1457> and Helwig (2019b) <doi:10.1016/j.neuroimage.2019.116030>. Univariate and multivariate tests are supported. For each problem, exact tests and Monte Carlo approximations are available. Five different nonparametric bootstrap confidence intervals are implemented. Parallel computing is implemented via the 'parallel' package.
Author: Nathaniel E. Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package arrow updated to version 23.0.0 with previous version 22.0.0.1 dated 2025-12-23

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut, cre], Bryce Mecum [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>

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 arrow-23.0.0/arrow/NEWS.md                                                                  |   17 
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Package uncertainUCDP updated to version 0.7.6 with previous version 0.7.0 dated 2026-01-20

Title: Parametric Mixture Models for Uncertainty Estimation of Fatalities in UCDP Conflict Data
Description: Provides functions for estimating uncertainty in the number of fatalities in the Uppsala Conflict Data Program (UCDP) data. The package implements a parametric reported-value Gumbel mixture distribution that accounts for the uncertainty in the number of fatalities in the UCDP data. The model is based on information from a survey on UCDP coders and how they view the uncertainty of the number of fatalities from UCDP events. The package provides functions for making random draws of fatalities from the mixture distribution, as well as to estimate percentiles, quantiles, means, and other statistics of the distribution. Full details on the survey and estimation procedure can be found in Vesco et al (2024).
Author: David Randahl [cre, aut]
Maintainer: David Randahl <david.randahl@pcr.uu.se>

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Package ecospat updated to version 4.1.3 with previous version 4.1.2 dated 2025-01-31

Title: Spatial Ecology Miscellaneous Methods
Description: Collection of R functions and data sets for the support of spatial ecology analyses with a focus on pre, core and post modelling analyses of species distribution, niche quantification and community assembly. Written by current and former members and collaborators of the ecospat group of Antoine Guisan, Department of Ecology and Evolution (DEE) and Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Switzerland. Read Di Cola et al. (2016) <doi:10.1111/ecog.02671> for details.
Author: Olivier Broennimann [cre, aut, ctb], Valeria Di Cola [aut, ctb], Blaise Petitpierre [ctb], Frank Breiner [ctb], Daniel Scherrer [ctb], Manuela D`Amen [ctb], Christophe Randin [ctb], Robin Engler [ctb], Wim Hordijk [ctb], Heidi Mod [ctb], Julien Potti [...truncated...]
Maintainer: Olivier Broennimann <olivier.broennimann@unil.ch>

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Package aedseo updated to version 1.1.0 with previous version 1.0.1 dated 2025-11-20

Title: Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels
Description: A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates across consecutive time intervals, calculate the sum of cases (SoC) within those intervals, and estimate seasonal onsets within user defined seasons. With use of a disease-specific threshold it also offers the possibility to estimate seasonal onset of epidemics. Additionally it offers the ability to estimate burden levels for seasons based on historical data. It is aimed towards epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion.
Author: Sofia Myrup Otero [aut] , Kasper Schou Telkamp [aut] , Lasse Engbo Christiansen [aut, cre] , Rasmus Skytte Randloev [rev] , Statens Serum Institut, SSI [cph, fnd]
Maintainer: Lasse Engbo Christiansen <lsec@ssi.dk>

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Package pheno updated to version 1.7-1 with previous version 1.7-0 dated 2022-05-12

Title: Auxiliary Functions for Phenological Data Analysis
Description: Provides some easy-to-use functions for time series analyses of (plant-) phenological data sets. These functions mainly deal with the estimation of combined phenological time series and are usually wrappers for functions that are already implemented in other R packages adapted to the special structure of phenological data and the needs of phenologists. Some date conversion functions to handle Julian dates are also provided.
Author: Joerg Schaber [aut], Maximilian Lange [cre]
Maintainer: Maximilian Lange <maximilian.lange@ufz.de>

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Package ordinalgmifs updated to version 1.0.9 with previous version 1.0.8 dated 2023-05-05

Title: Ordinal Regression for High-Dimensional Data
Description: Provides a function for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.
Author: Kellie J. Archer [aut, cre] , Jiayi Hou [aut], Qing Zhou [aut], Kyle Ferber [aut], John G. Layne [com, ctr], Amanda Gentry [rev]
Maintainer: Kellie J. Archer <archer.43@osu.edu>

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Package modsem updated to version 1.0.16 with previous version 1.0.15 dated 2025-12-22

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosb [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package MCSimMod updated to version 1.2 with previous version 1.0 dated 2025-08-19

Title: Working with 'MCSim' Models
Description: Tools that facilitate ordinary differential equation (ODE) modeling in 'R'. This package allows one to perform simulations for ODE models that are encoded in the GNU 'MCSim' model specification language (Bois, 2009) <doi:10.1093/bioinformatics/btp162> using ODE solvers from the 'R' package 'deSolve' (Soetaert et al., 2010) <doi:10.18637/jss.v033.i09>.
Author: Dustin F. Kapraun [aut, cre] , Todd J. Zurlinden [aut] , Andrew J. Shapiro [aut] , Ryan D. Friese [aut] , Frederic Y. Bois [ctb] , Free Software Foundation, Inc. [cph]
Maintainer: Dustin F. Kapraun <kapraun.dustin@epa.gov>

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Package kstMatrix updated to version 2.2-1 with previous version 2.2-0 dated 2025-12-18

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

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Package fioRa updated to version 0.3.7 with previous version 0.3.4 dated 2025-11-11

Title: Mass-Spectra Prediction Using the FIORA Model
Description: Provides a wrapper for the python module 'FIORA' as well as a 'shiny'-App to facilitate data processing and visualization. 'FIORA' allows to predict Mass-Spectra based on the SMILES code of chemical compounds. It is described in the Nature Communications article by Nowatzky (2025) <doi:10.1038/s41467-025-57422-4>.
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec@bam.de>

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Package climate updated to version 1.2.7 with previous version 1.2.5 dated 2025-10-29

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

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Package admiralpeds updated to version 0.3.0 with previous version 0.2.1 dated 2025-08-20

Title: Pediatrics Extension Package for ADaM in 'R' Asset Library
Description: A toolbox for programming Clinical Data Standards Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the 'admiral' package for pediatric clinical trials.
Author: Fanny Gautier [aut, cre] , Ross Farrugia [aut], Zelos Zhu [aut], Sukalpo Saha [aut], Lina Patil [aut], Samia Kabi [aut], Laura Liao [ctb], Remigiusz Kudlacz [ctb], Pierre Wallet [ctb], Amin Sherzad [ctb], David Freedman [ctb], Mahmoud Hamza [ctb], Cy [...truncated...]
Maintainer: Fanny Gautier <fanny.gautier@cytel.com>

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Package z22 updated to version 1.1.4 with previous version 1.1.0 dated 2025-10-29

Title: Official Gridded Data from the German Census 2022
Description: Provides fast and easy access to German census grid data from the 2011 and 2022 censuses <https://www.zensus2022.de/>, including a wide range of socio-economic indicators at multiple spatial resolutions (100m, 1km, 10km). Enables efficient download, processing, and analysis of large census datasets covering population, households, families, dwellings, and buildings. Harmonized data structures allow direct comparison with the 2011 census, supporting temporal and spatial analyses. Facilitates conversion of data into common formats for spatial analysis and mapping ('terra', 'sf', 'ggplot2').
Author: Jonas Lieth [cre, aut, cph]
Maintainer: Jonas Lieth <jslth@outlook.com>

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Package fable updated to version 0.5.0 with previous version 0.4.1 dated 2024-11-04

Title: Forecasting Models for Tidy Time Series
Description: Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] , Christoph Bergmeir [ctb] , Tim-Gunnar Hensel [ctb], Timothy Hyndman [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package ggrain updated to version 0.1.2 with previous version 0.1.1 dated 2026-01-21

Title: A Rainclouds Geom for 'ggplot2'
Description: The 'geom_rain()' function adds different geoms together using 'ggplot2' to create raincloud plots.
Author: Nicholas Judd [aut, cre] , Jordy van Langen [aut] , Micah Allen [ctb] , Rogier Kievit [aut]
Maintainer: Nicholas Judd <nickkjudd@gmail.com>

Diff between ggrain versions 0.1.1 dated 2026-01-21 and 0.1.2 dated 2026-01-23

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Package fanplot updated to version 4.0.1 with previous version 4.0.0 dated 2021-08-02

Title: Visualisation of Sequential Probability Distributions Using Fan Charts
Description: Visualise sequential distributions using a range of plotting styles. Sequential distribution data can be input as either simulations or values corresponding to percentiles over time. Plots are added to existing graphic devices using the fan function. Users can choose from four different styles, including fan chart type plots, where a set of coloured polygon, with shadings corresponding to the percentile values are layered to represent different uncertainty levels. Full details in R Journal article; Abel (2015) <doi:10.32614/RJ-2015-002>.
Author: Guy J. Abel [aut, cre]
Maintainer: Guy J. Abel <g.j.abel@gmail.com>

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Package SVEMnet updated to version 3.2.0 with previous version 3.1.4 dated 2025-11-28

Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression
Description: Tools for fitting self-validated ensemble models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) in small-sample design-of-experiments and related workflows, using elastic net and relaxed elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). Fractional random-weight bootstraps with anti-correlated validation copies are used to tune penalty paths by validation-weighted AIC/BIC. Supports Gaussian and binomial responses, deterministic expansion helpers for shared factor spaces, prediction with bootstrap uncertainty, and a random-search optimizer that respects mixture constraints and combines multiple responses via desirability functions. Also includes a permutation-based whole-model test for Gaussian SVEM fits (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Package code was drafted with assistance from generative AI tools.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package schumaker updated to version 1.2.2 with previous version 1.2.1 dated 2021-09-09

Title: Schumaker Shape-Preserving Spline
Description: This is a shape preserving spline <doi:10.1137/0720057> which is guaranteed to be monotonic and concave or convex if the data is monotonic and concave or convex. It does not use any optimisation and is therefore quick and smoothly converges to a fixed point in economic dynamics problems including value function iteration. It also automatically gives the first two derivatives of the spline and options for determining behaviour when evaluated outside the interpolation domain.
Author: Stuart Baumann [aut, cre], Margaryta Klymak [aut]
Maintainer: Stuart Baumann <stuart@stuartbaumann.com>

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Package rtpcr updated to version 2.1.2 with previous version 2.1.1 dated 2026-01-08

Title: qPCR Data Analysis
Description: Tools for qPCR data analysis using Delta Ct and Delta Delta Ct methods, including t-tests, ANOVA, ANCOVA, repeated-measures 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>

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Package rangr updated to version 1.0.9 with previous version 1.0.8 dated 2025-12-17

Title: Mechanistic Simulation of Species Range Dynamics
Description: Integrates population dynamics and dispersal into a mechanistic virtual species simulator. The package can be used to study the effects of environmental change on population growth and range shifts. It allows for simple and straightforward definition of population dynamics (including positive density dependence), extensive possibilities for defining dispersal kernels, and the ability to generate virtual ecologist data. Learn more about the 'rangr' at <https://docs.ropensci.org/rangr/>. This work was supported by the National Science Centre, Poland, grant no. 2018/29/B/NZ8/00066 and the Poznań Supercomputing and Networking Centre (grant no. pl0090-01).
Author: Katarzyna Markowska [aut, cre], Lechoslaw Kuczynski [aut], Tad Dallas [rev], Joanne Potts [rev]
Maintainer: Katarzyna Markowska <katarzyna.markowska@amu.edu.pl>

Diff between rangr versions 1.0.8 dated 2025-12-17 and 1.0.9 dated 2026-01-23

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Package profoc updated to version 1.3.4 with previous version 1.3.3 dated 2024-09-21

Title: Probabilistic Forecast Combination Using CRPS Learning
Description: Combine probabilistic forecasts using CRPS learning algorithms proposed in Berrisch, Ziel (2021) <doi:10.48550/arXiv.2102.00968> <doi:10.1016/j.jeconom.2021.11.008>. The package implements multiple online learning algorithms like Bernstein online aggregation; see Wintenberger (2014) <doi:10.48550/arXiv.1404.1356>. Quantile regression is also implemented for comparison purposes. Model parameters can be tuned automatically with respect to the loss of the forecast combination. Methods like predict(), update(), plot() and print() are available for convenience. This package utilizes the optim C++ library for numeric optimization <https://github.com/kthohr/optim>.
Author: Jonathan Berrisch [aut, cre] , Florian Ziel [aut]
Maintainer: Jonathan Berrisch <Jonathan@Berrisch.biz>

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Package phenofit readmission to version 0.3.11 with previous version 0.3.10 dated 2025-05-25

Title: Extract Remote Sensing Vegetation Phenology
Description: The merits of 'TIMESAT' and 'phenopix' are adopted. Besides, a simple and growing season dividing method and a practical snow elimination method based on Whittaker were proposed. 7 curve fitting methods and 4 phenology extraction methods were provided. Parameters boundary are considered for every curve fitting methods according to their ecological meaning. And 'optimx' is used to select best optimization method for different curve fitting methods. Reference: Kong, D., (2020). R package: A state-of-the-art Vegetation Phenology extraction package, phenofit version 0.3.1, <doi:10.5281/zenodo.5150204>; Kong, D., Zhang, Y., Wang, D., Chen, J., & Gu, X. (2020). Photoperiod Explains the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness Phenology. Journal of Geophysical Research: Biogeosciences, 125(8), e2020JG005636. <doi:10.1029/2020JG005636>; Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI ti [...truncated...]
Author: Dongdong Kong [aut, cre], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut], Jianjian Cui [aut]
Maintainer: Dongdong Kong <kongdd.sysu@gmail.com>

This is a re-admission after prior archival of version 0.3.10 dated 2025-05-25

Diff between phenofit versions 0.3.10 dated 2025-05-25 and 0.3.11 dated 2026-01-23

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Package kit updated to version 0.0.21 with previous version 0.0.20 dated 2025-04-17

Title: Data Manipulation Functions Implemented in C
Description: Basic functions, implemented in C, for large data manipulation. Fast vectorised ifelse()/nested if()/switch() functions, psum()/pprod() functions equivalent to pmin()/pmax() plus others which are missing from base R. Most of these functions are callable at C level.
Author: Morgan Jacob [aut, cph], Sebastian Krantz [ctb, cre]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package ggfootball readmission to version 0.2.2 with previous version 0.2.1 dated 2025-03-22

Title: Plotting Football Matches Expected Goals (xG) Stats with 'Understat' Data
Description: Scrapes football match shots data from 'Understat' <https://understat.com/> and visualizes it using interactive plots: - A detailed shot map displaying the location, type, and xG value of shots taken by both teams. - An xG timeline chart showing the cumulative xG for each team over time, annotated with the details of scored goals.
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>

This is a re-admission after prior archival of version 0.2.1 dated 2025-03-22

Diff between ggfootball versions 0.2.1 dated 2025-03-22 and 0.2.2 dated 2026-01-23

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Package genepop updated to version 1.2.14 with previous version 1.2.11 dated 2025-08-27

Title: Population Genetic Data Analysis Using Genepop
Description: Makes the Genepop software available in R. This software implements a mixture of traditional population genetic methods and some more focused developments: it computes exact tests for Hardy-Weinberg equilibrium, for population differentiation and for genotypic disequilibrium among pairs of loci; it computes estimates of F-statistics, null allele frequencies, allele size-based statistics for microsatellites, etc.; and it performs analyses of isolation by distance from pairwise comparisons of individuals or population samples.
Author: Francois Rousset [aut, cre, cph] , Jimmy Lopez [ctb], Alexandre Genin [ctb], Khalid Belkhir [ctb]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

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Package galaxias readmission to version 0.1.2 with previous version 0.1.1 dated 2025-10-22

Title: Describe, Package, and Share Biodiversity Data
Description: The Darwin Core data standard is widely used to share biodiversity information, most notably by the Global Biodiversity Information Facility and its partner nodes; but converting data to this standard can be tricky. 'galaxias' is functionally similar to 'devtools', but with a focus on building Darwin Core Archives rather than R packages, enabling data to be shared and re-used with relative ease. For details see Wieczorek and colleagues (2012) <doi:10.1371/journal.pone.0029715>.
Author: Martin Westgate [aut, cre], Shandiya Balasubramaniam [aut], Dax Kellie [aut]
Maintainer: Martin Westgate <martin.westgate@csiro.au>

This is a re-admission after prior archival of version 0.1.1 dated 2025-10-22

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Package bioregion updated to version 1.3.0 with previous version 1.2.0 dated 2025-01-31

Title: Comparison of Bioregionalization Methods
Description: The main purpose of this package is to propose a transparent methodological framework to compare bioregionalization methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).
Author: Maxime Lenormand [aut, cre] , Boris Leroy [aut] , Pierre Denelle [aut]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

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Package vbracket updated to version 1.1.0 with previous version 1.0.2 dated 2026-01-07

Title: Custom Legends with Statistical Comparison Brackets
Description: Add publication-quality custom legends with vertical brackets. Designed for displaying statistical comparisons between groups, commonly used in scientific publications for showing significance levels. Features include adaptive positioning, automatic bracket spacing for overlapping comparisons, font family inheritance, and support for asterisks, p-values, or custom labels. Compatible with 'ggplot2' graphics.
Author: Yoshiaki Sato [aut, cre]
Maintainer: Yoshiaki Sato <h20gg702@outlook.jp>

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Package vetr updated to version 0.2.20 with previous version 0.2.19 dated 2025-11-23

Title: Trust, but Verify
Description: Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Author: Brodie Gaslam [aut, cre], Paxdiablo [cph] , R Core Team [cph] , Michael Chirico [ctb]
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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 69 files changed, 417 insertions(+), 395 deletions(-)

More information about vetr at CRAN
Permanent link

Package uuid updated to version 1.2-2 with previous version 1.2-1 dated 2024-07-29

Title: Tools for Generating and Handling of UUIDs
Description: Tools for generating and handling of UUIDs (Universally Unique Identifiers).
Author: Simon Urbanek [aut, cre, cph] , Theodore Ts'o [aut, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between uuid versions 1.2-1 dated 2024-07-29 and 1.2-2 dated 2026-01-23

 DESCRIPTION         |    8 ++++----
 MD5                 |   12 ++++++------
 NEWS                |    7 +++++++
 man/UUIDgenerate.Rd |   13 ++++++++++++-
 src/R.c             |   11 +++++++++--
 src/Ruuid.c         |    7 +++++++
 src/randutils.c     |    2 +-
 7 files changed, 46 insertions(+), 14 deletions(-)

More information about uuid at CRAN
Permanent link

Package tidyterra updated to version 1.0.0 with previous version 0.7.2 dated 2025-04-14

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph] , Andrea Manica [ctb]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package ROCR updated to version 1.0-12 with previous version 1.0-11 dated 2020-05-02

Title: Visualizing the Performance of Scoring Classifiers
Description: ROC graphs, sensitivity/specificity curves, lift charts, and precision/recall plots are popular examples of trade-off visualizations for specific pairs of performance measures. ROCR is a flexible tool for creating cutoff-parameterized 2D performance curves by freely combining two from over 25 performance measures (new performance measures can be added using a standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different methods, and standard deviations, standard errors or box plots can be used to visualize the variability across the runs. The parameterization can be visualized by printing cutoff values at the corresponding curve positions, or by coloring the curve according to cutoff. All components of a performance plot can be quickly adjusted using a flexible parameter dispatching mechanism. Despite its flexibility, ROCR is easy to use, with only three commands and reasonable default values for all optional parameters.
Author: Tobias Sing [aut], Oliver Sander [aut], Niko Beerenwinkel [aut], Thomas Lengauer [aut], Thomas Unterthiner [ctb], Felix G.M. Ernst [cre]
Maintainer: Felix G.M. Ernst <felix.gm.ernst@outlook.com>

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Package Rdpack updated to version 2.6.5 with previous version 2.6.4 dated 2025-04-08

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.
Author: Georgi N. Boshnakov [aut, cre] , Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package pdp updated to version 0.8.3 with previous version 0.8.2 dated 2024-10-28

Title: Partial Dependence Plots
Description: A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
Author: Brandon M. Greenwell [aut, cre]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>

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Package neonUtilities updated to version 3.0.3 with previous version 3.0.2 dated 2025-09-26

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://www.neonscience.org> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Claire Lunch [aut, cre, ctb], Christine Laney [aut, ctb], Nathan Mietkiewicz [aut, ctb], Eric Sokol [aut, ctb], Kaelin Cawley [aut, ctb], NEON [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>

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Package minty updated to version 0.0.6 with previous version 0.0.5 dated 2025-01-07

Title: Minimal Type Guesser
Description: Port the type guesser from 'readr' (so-called 'readr' first edition parsing engine, now superseded by 'vroom').
Author: Chung-hong Chan [aut, cre] , Hadley Wickham [aut] , Jim Hester [aut] , Romain Francois [ctb] , Jennifer Bryan [aut] , Shelby Bearrows [ctb] , Posit Software, PBC [cph] , David Olson [aut]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package merTools updated to version 0.6.4 with previous version 0.6.3 dated 2025-09-05

Title: Tools for Analyzing Mixed Effect Regression Models
Description: Provides methods for extracting results from mixed-effect model objects fit with the 'lme4' package. Allows construction of prediction intervals efficiently from large scale linear and generalized linear mixed-effects models. This method draws from the simulation framework used in the Gelman and Hill (2007) textbook: Data Analysis Using Regression and Multilevel/Hierarchical Models.
Author: Jared E. Knowles [aut, cre], Carl Frederick [aut], Alex Whitworth [ctb]
Maintainer: Jared E. Knowles <jared@civilytics.com>

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Package kmer updated to version 1.1.3 with previous version 1.1.2 dated 2019-05-20

Title: Fast K-Mer Counting and Clustering for Biological Sequence Analysis
Description: Contains tools for rapidly computing distance matrices and clustering large sequence datasets using fast alignment-free k-mer counting and recursive k-means partitioning. See Vinga and Almeida (2003) <doi:10.1093/bioinformatics/btg005> for a review of k-mer counting methods and applications for biological sequence analysis.
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson@gmail.com>

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Package HRW updated to version 1.0-6 with previous version 1.0-5 dated 2021-11-23

Title: Datasets, Functions and Scripts for Semiparametric Regression Supporting Harezlak, Ruppert & Wand (2018)
Description: The book "Semiparametric Regression with R" by J. Harezlak, D. Ruppert & M.P. Wand (2018, Springer; ISBN: 978-1-4939-8851-8) makes use of datasets and scripts to explain semiparametric regression concepts. Each of the book's scripts are contained in this package as well as datasets that are not within other R packages. Functions that aid semiparametric regression analysis are also included.
Author: Jaroslaw Harezlak [aut], David Ruppert [aut], Matt P. Wand [aut, cre]
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>

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Package giscoR updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-10

Title: Download Map Data from GISCO API - Eurostat
Description: Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , EuroGeographics [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package aphid updated to version 1.3.6 with previous version 1.3.5 dated 2022-12-05

Title: Analysis with Profile Hidden Markov Models
Description: Designed for the development and application of hidden Markov models and profile HMMs for biological sequence analysis. Contains functions for multiple and pairwise sequence alignment, model construction and parameter optimization, file import/export, implementation of the forward, backward and Viterbi algorithms for conditional sequence probabilities, tree-based sequence weighting, and sequence simulation. Features a wide variety of potential applications including database searching, gene-finding and annotation, phylogenetic analysis and sequence classification. Based on the models and algorithms described in Durbin et al (1998, ISBN: 9780521629713).
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson@gmail.com>

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Thu, 22 Jan 2026

Package xdvir updated to version 0.2-0 with previous version 0.1-3 dated 2025-07-15

Title: Render 'LaTeX' in Plots
Description: High-level functions to render 'LaTeX' fragments in plots, including as labels and data symbols in 'ggplot2' plots, plus low-level functions to author 'LaTeX' fragments (to produce 'LaTeX' documents), typeset 'LaTeX' documents (to produce 'DVI' files), read 'DVI' files (to produce "DVI" objects), and render "DVI" objects.
Author: Paul Murrell [aut, cre]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

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Package pccc updated to version 1.0.7 with previous version 1.0.6 dated 2025-05-16

Title: Pediatric Complex Chronic Conditions
Description: An implementation of the pediatric complex chronic conditions (CCC) classification system using R and C++.
Author: Peter DeWitt [aut] , Tell Bennett [ctb] , James Feinstein [aut] , Seth Russell [aut, cre]
Maintainer: Seth Russell <seth.russell@cuanschutz.edu>

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Package RcppXsimd updated to version 7.1.6-2 with previous version 7.1.6-1 dated 2025-11-29

Title: Xsimd C++ Header-Only Library Files
Description: This header-only library provides modern, portable C++ wrappers for SIMD intrinsics and parallelized, optimized math implementations (SSE, AVX, NEON, AVX512). By placing this library in this package, we offer an efficient distribution system for Xsimd <https://github.com/xtensor-stack/xsimd> for R packages using CRAN.
Author: Marc A. Suchard [aut, cre], Andrew J. Holbrook [aut], Observational Health Data Sciences and Informatics [cph], Johan Mabille [cph, ctb] , Sylvain Corlay [cph, ctb] , Alexander J. Lee [cph, ctb]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

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Package ganttify updated to version 0.2.1 with previous version 0.1.8 dated 2025-12-19

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

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Package sugarbag updated to version 0.1.10 with previous version 0.1.9 dated 2025-12-06

Title: Create Tessellated Hexagon Maps
Description: Create a hexagon tile map display from spatial polygons. Each polygon is represented by a hexagon tile, placed as close to it's original centroid as possible, with a focus on maintaining spatial relationship to a focal point. Developed to aid visualisation and analysis of spatial distributions across Australia, which can be challenging due to the concentration of the population on the coast and wide open interior.
Author: Dianne Cook [aut, cre, ths] , Stephanie Kobakian [aut] , Matt Cowgill [ctb]
Maintainer: Dianne Cook <dicook@monash.edu>

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Package tidypopgen updated to version 0.4.2 with previous version 0.4.1 dated 2025-12-20

Title: Tidy Population Genetics
Description: We provide a tidy grammar of population genetics, facilitating the manipulation and analysis of data on biallelic single nucleotide polymorphisms (SNPs). 'tidypopgen' scales to very large genetic datasets by storing genotypes on disk, and performing operations on them in chunks, without ever loading all data in memory. The full functionalities of the package are described in Carter et al. (2025) <doi:10.1111/2041-210x.70204>.
Author: Evie Carter [aut], Eirlys Tysall [aut], Andrea Manica [aut, cre, cph] , Chang Christopher [ctb] ), Shaun Purcell [ctb] ), Bengtsson Henrik [ctb] )
Maintainer: Andrea Manica <am315@cam.ac.uk>

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Package BTSR updated to version 1.0.1 with previous version 1.0.0 dated 2025-06-18

Title: Bounded Time Series Regression
Description: Simulate, estimate and forecast a wide range of regression based dynamic models for bounded time series, covering the most commonly applied models in the literature. The main calculations are done in FORTRAN, which translates into very fast algorithms.
Author: Taiane Schaedler Prass [aut, cre, com] , Guilherme Pumi [ctb, aut] , Fabio Mariano Bayer [ctb] , Jack Joseph Dongarra [ctb] ), Cleve Moler [ctb] ), Gilbert Wright Stewart [ctb] ), Ciyou Zhu [ctb] , Richard H. Byrd [ctb] , Jorge Nocedal [ctb] , Jose L [...truncated...]
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>

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Package HVT updated to version 26.1.1 with previous version 25.2.8 dated 2025-12-18

Title: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis
Description: Facilitates building topology preserving maps for data analysis.
Author: Zubin Dowlaty [aut, cre], Mu Sigma, Inc. [cph]
Maintainer: Zubin Dowlaty <zubin.dowlaty@mu-sigma.com>

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Package tgml updated to version 0.4.0 with previous version 0.3.0 dated 2025-12-11

Title: Tree Guided Machine Learning for Personalized Predictions and Precision Diagnostics
Description: Generalization of the classification and regression tree (CART) model that partitions subjects into terminal nodes and tailors machine learning model to each terminal node.
Author: Yunro Chung [aut, cre]
Maintainer: Yunro Chung <yunro.chung@asu.edu>

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Package mrgsolve updated to version 1.7.2 with previous version 1.6.1 dated 2025-08-22

Title: Simulate from ODE-Based Models
Description: Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.
Author: Kyle T Baron [aut, cre] , Bill Gillespie [ctb], Charles Margossian [ctb], Devin Pastoor [ctb], Bill Denney [ctb] , Dilawar Singh [ctb], Felicien Le Louedec [ctb] , Timothy Waterhouse [ctb] , Kyle Meyer [ctb], Metrum Research Group [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>

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Package gbm updated to version 2.2.3 with previous version 2.2.2 dated 2024-06-28

Title: Generalized Boosted Regression Models
Description: An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway. Newer version available at github.com/gbm-developers/gbm3.
Author: Greg Ridgeway [aut, cre] , Daniel Edwards [ctb], Brian Kriegler [ctb], Stefan Schroedl [ctb], Harry Southworth [ctb], Brandon Greenwell [ctb] , Bradley Boehmke [ctb] , Jay Cunningham [ctb], GBM Developers [aut]
Maintainer: Greg Ridgeway <gridge@upenn.edu>

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Package topologyR updated to version 0.1.2 with previous version 0.1.1 dated 2025-10-03

Title: Topological Connectivity Analysis for Numeric Data
Description: Description: Implementation of topological data analysis methods based on graph-theoretic approaches for discovering topological structures in data. The core algorithm constructs topological spaces from graphs following Nada et al. (2018) <doi:10.1002/mma.4726> "New types of topological structures via graphs".
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

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Package rtodoist updated to version 0.2.0 with previous version 0.1.0 dated 2020-05-14

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 [cre, aut] , Vincent Guyader [aut] , ThinkR [cph, fnd]
Maintainer: Cervan Girard <cervan@thinkr.fr>

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Package ripc updated to version 1.0.0 with previous version 0.3.2 dated 2026-01-10

Title: Download and Tidy IPC and CH Data
Description: Utilities to access Integrated Food Security Phase Classification (IPC) and Cadre Harmonisé (CH) food security data. Wrapper functions are available for all of the 'IPC-CH' Public API (<https://docs.api.ipcinfo.org>) simplified and advanced endpoints to easily download the data in a clean and tidy format.
Author: Giulia Martini [aut, cre, cph]
Maintainer: Giulia Martini <giulia.martini@un.org>

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Package myownrobs updated to version 1.0.0 with previous version 0.1.0 dated 2025-09-30

Title: AI Coding Agent for 'RStudio'
Description: Provides an 'RStudio' extension with a chat interface for an AI coding agent to help users with R programming tasks.
Author: Juan Cruz Rodriguez [aut, cre]
Maintainer: Juan Cruz Rodriguez <jcrodriguez@unc.edu.ar>

Diff between myownrobs versions 0.1.0 dated 2025-09-30 and 1.0.0 dated 2026-01-22

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Package AEenrich updated to version 1.1.1 with previous version 1.1.0 dated 2021-11-01

Title: Adverse Event Enrichment Tests
Description: We extend existing gene enrichment tests to perform adverse event enrichment analysis. Unlike the continuous gene expression data, adverse event data are counts. Therefore, adverse event data has many zeros and ties. We propose two enrichment tests. One is a modified Fisher's exact test based on pre-selected significant adverse events, while the other is based on a modified Kolmogorov-Smirnov statistic. We add Covariate adjustment to improve the analysis."Adverse event enrichment tests using VAERS" Shuoran Li, Lili Zhao (2020) <doi:10.48550/arXiv.2007.02266>.
Author: Shuoran Li [aut], Hongfan Chen [aut], Lili Zhao [aut], Michael Kleinsasser [aut, cre]
Maintainer: Michael Kleinsasser <mkleinsa@umich.edu>

Diff between AEenrich versions 1.1.0 dated 2021-11-01 and 1.1.1 dated 2026-01-22

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Package scam updated to version 1.2-21 with previous version 1.2-20 dated 2025-10-14

Title: Shape Constrained Additive Models
Description: Generalized additive models under shape constraints on the component functions of the linear predictor. Models can include multiple shape-constrained (univariate and bivariate) and unconstrained terms. Routines of the package 'mgcv' are used to set up the model matrix, print, and plot the results. Multiple smoothing parameter estimation by the Generalized Cross Validation or similar. See Pya and Wood (2015) <doi:10.1007/s11222-013-9448-7> for an overview. A broad selection of shape-constrained smoothers, linear functionals of smooths with shape constraints, and Gaussian models with AR1 residuals.
Author: Natalya Pya [aut, cre]
Maintainer: Natalya Pya <nat.pya@gmail.com>

Diff between scam versions 1.2-20 dated 2025-10-14 and 1.2-21 dated 2026-01-22

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Package ptw updated to version 1.9-17 with previous version 1.9-16 dated 2022-01-19

Title: Parametric Time Warping
Description: Parametric Time Warping aligns patterns, i.e., it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported. A vignette for the latter is contained in the inst/doc directory of the source package - the vignette source can be found on the package github site. See `citation("ptw")` for more details.
Author: Jan Gerretzen [ctb], Paul Eilers [aut], Hans Wouters [ctb], Tom Bloemberg [aut], Ron Wehrens [aut, cre]
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>

Diff between ptw versions 1.9-16 dated 2022-01-19 and 1.9-17 dated 2026-01-22

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Package lessR updated to version 4.5.1 with previous version 4.5 dated 2025-12-11

Title: Less Code with More Comprehensive Results
Description: Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts. Other functions provide data aggregation via pivot tables; comprehensive regression, ANOVA, and t-test; visualizations including integrated Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve; reading multiple data formats with the same call; variable labels; time series with aggregation and forecasting; color themes; and Trellis (facet) graphics. Also includes a confirmatory factor analysis of multiple-indicator measurement models, pedagogical routines for data simulation (e.g., Central Limit Theorem), generation and rendering of regression instructions for interpretative output, and both interactive construction of visualizations and interactive visualizations with plotly.
Author: David W. Gerbing [aut, cre]
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 4.5 dated 2025-12-11 and 4.5.1 dated 2026-01-22

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Package fitdistrplus updated to version 1.2-5 with previous version 1.2-4 dated 2025-07-03

Title: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
Description: Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME), maximum goodness-of-fit estimation (MGE) and maximum spacing estimation (MSE) methods (available only for non-censored data). Weighted versions of MLE, MME, QME and MSE are available. See e.g. Casella & Berger (2002), Statistical inference, Pacific Grove, for a general introduction to parametric estimation.
Author: Marie-Laure Delignette-Muller [aut] , Christophe Dutang [aut] , Regis Pouillot [ctb], Jean-Baptiste Denis [ctb], Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between fitdistrplus versions 1.2-4 dated 2025-07-03 and 1.2-5 dated 2026-01-22

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Package netdose updated to version 0.7-4 with previous version 0.7-3 dated 2026-01-13

Title: Dose-Response Network Meta-Analysis in a Frequentist Way
Description: A set of functions providing the implementation of the network meta-analysis model with dose-response relationships, predicted values of the fitted model and dose-response plots in a frequentist way.
Author: Maria Petropoulou [aut, cre] , Guido Schwarzer [aut]
Maintainer: Maria Petropoulou <m.petropoulou.a@gmail.com>

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Package knfi updated to version 1.0.2 with previous version 1.0.1.9 dated 2024-12-03

Title: Analysis of Korean National Forest Inventory Database
Description: Understanding the current status of forest resources is essential for monitoring changes in forest ecosystems and generating related statistics. In South Korea, the National Forest Inventory (NFI) surveys over 4,500 sample plots nationwide every five years and records 70 items, including forest stand, forest resource, and forest vegetation surveys. Many researchers use NFI as the primary data for research, such as biomass estimation or analyzing the importance value of each species over time and space, depending on the research purpose. However, the large volume of accumulated forest survey data from across the country can make it challenging to manage and utilize such a vast dataset. To address this issue, we developed an R package that efficiently handles large-scale NFI data across time and space. The package offers a comprehensive workflow for NFI data analysis. It starts with data processing, where read_nfi() function reconstructs NFI data according to the researcher's needs while [...truncated...]
Author: Sinyoung Park [aut, cre] , Wonhee Cho [aut, ctb] , Inyoo Kim [aut, ctb] , Wontaek Lim [aut, ctb] , Dongwook W. Ko [aut, ths]
Maintainer: Sinyoung Park <youngsin0306@kookmin.ac.kr>

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Package circle updated to version 0.7.4 with previous version 0.7.3 dated 2024-07-31

Title: R Client Package for Circle CI
Description: Tools for interacting with the 'Circle CI' API (<https://circleci.com/docs/api/v2/>). Besides executing common tasks such as querying build logs and restarting builds, this package also helps setting up permissions to deploy from builds.
Author: David Munoz Tord [cre, ctb], Patrick Schratz [aut] , Max Joseph [rev] , Sharla Gelfand [rev]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package rsurvstat updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-17

Title: Download Infectious Disease Data from 'SurvStat' (Robert Koch Institute)
Description: Provides an interface to the 'SurvStat' web service from the Robert Koch Institute (<https://tools.rki.de/SurvStat/SurvStatWebService.svc>) allowing downloads of disease time series stratified by pathogen type and subtype, age, and geography from notifiable disease reports in Germany.
Author: Robert Challen [aut, cre] , Bristol Vaccine Centre [fnd, cph]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>

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Package r2sundials updated to version 7.2.1-4 with previous version 7.2.1-3 dated 2025-04-10

Title: Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem
Description: Wrapper for widely used 'SUNDIALS' software (SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers) and more precisely to its 'CVODES' solver. It is aiming to solve ordinary differential equations (ODE) and optionally pending forward sensitivity problem. The wrapper is made 'R' friendly by allowing to pass custom parameters to user's callback functions. Such functions can be both written in 'R' and in 'C++' ('RcppArmadillo' flavor). In case of 'C++', performance is greatly improved so this option is highly advisable when performance matters. If provided, Jacobian matrix can be calculated either in dense or sparse format. In the latter case 'rmumps' package is used to solve corresponding linear systems. Root finding and pending event management are optional and can be specified as 'R' or 'C++' functions too. This makes them a very flexible tool for controlling the ODE system during the time course simulation. 'SUNDIALS' library was published in Hindmarsh et al. (2005) <doi:1 [...truncated...]
Author: Serguei Sokol [cre, aut], Carol S. Woodward [ctb], Daniel R. Reynolds [ctb], Alan C. Hindmarsh [ctb], David J. Gardner [ctb], Cody J. Balos [ctb], Radu Serban [ctb], Scott D. Cohen [ctb], Peter N. Brown [ctb], George Byrne [ctb], Allan G. Taylor [ctb [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package kohonen updated to version 3.0.13 with previous version 3.0.12 dated 2023-06-09

Title: Supervised and Unsupervised Self-Organising Maps
Description: Functions to train self-organising maps (SOMs). Also interrogation of the maps and prediction using trained maps are supported. The name of the package refers to Teuvo Kohonen, the inventor of the SOM.
Author: Ron Wehrens [aut, cre], Johannes Kruisselbrink [aut]
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>

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Package desla updated to version 0.3.1 with previous version 0.3.0 dated 2023-06-29

Title: Desparsified Lasso Inference for Time Series
Description: Calculates the desparsified lasso as originally introduced in van de Geer et al. (2014) <doi:10.1214/14-AOS1221>, and provides inference suitable for high-dimensional time series, based on the long run covariance estimator in Adamek et al. (2020) <doi:10.48550/arXiv.2007.10952>. Also estimates high-dimensional local projections by the desparsified lasso, as described in Adamek et al. (2022) <doi:10.48550/arXiv.2209.03218>.
Author: Robert Adamek [cre, aut], Stephan Smeekes [aut], Ines Wilms [aut]
Maintainer: Robert Adamek <robertadamek94@gmail.com>

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Package caugi updated to version 1.0.0 with previous version 0.3.1 dated 2025-12-04

Title: Causal Graph Interface
Description: Create, query, and modify causal graphs. 'caugi' (Causal Graph Interface) is a causality-first, high performance graph package that provides a simple interface to build, structure, and examine causal relationships.
Author: Frederik Fabricius-Bjerre [aut, cre, cph], Johan Larsson [aut] , Michael Sachs [aut]
Maintainer: Frederik Fabricius-Bjerre <frederik@fabriciusbjerre.dk>

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Package sumExtras updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-19

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 mwa updated to version 0.5.1 with previous version 0.5.0 dated 2025-09-29

Title: Causal Inference in Spatiotemporal Event Data
Description: Implementation of Matched Wake Analysis (mwa) for studying causal relationships in spatiotemporal event data, introduced by Schutte and Donnay (2014) <doi:10.1016/j.polgeo.2014.03.001>.
Author: Sebastian Schutte [aut], Karsten Donnay [aut, cre]
Maintainer: Karsten Donnay <kdonnay@gmx.net>

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Package simsurv updated to version 1.0.1 with previous version 1.0.0 dated 2021-01-13

Title: Simulate Survival Data
Description: Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Clustered event times are also accommodated. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. For details see the supporting paper <doi:10.18637/jss.v097.i03>. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see [...truncated...]
Author: Sam Brilleman [cre, aut, cph], Alessandro Gasparini [ctb]
Maintainer: Sam Brilleman <sam.brilleman@gmail.com>

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Package prophet updated to version 1.1.7 with previous version 1.0 dated 2021-03-30

Title: Automatic Forecasting Procedure
Description: Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
Author: Cuong Duong [cre, aut], Sean Taylor [aut], Ben Letham [aut]
Maintainer: Cuong Duong <cuong.duong242@gmail.com>

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Package lagsarlmtree updated to version 1.0-2 with previous version 1.0-1 dated 2019-04-08

Title: Spatial Lag Model Trees
Description: Model-based linear model trees adjusting for spatial correlation using a simultaneous autoregressive spatial lag, Wagner and Zeileis (2019) <doi:10.1111/geer.12146>.
Author: Martin Wagner [aut] , Achim Zeileis [aut, cre] , Roger Bivand [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package edgemodelr readmission to version 0.1.4 with previous version 0.1.0 dated 2025-09-22

Title: Local Large Language Model Inference Engine
Description: Enables R users to run large language models locally using 'GGUF' model files and the 'llama.cpp' inference engine. Provides a complete R interface for loading models, generating text completions, and streaming responses in real-time. Supports local inference without requiring cloud APIs or internet connectivity, ensuring complete data privacy and control. Based on the 'llama.cpp' project by Georgi Gerganov (2023) <https://github.com/ggml-org/llama.cpp>.
Author: Pawan Rama Mali [aut, cre, cph], Georgi Gerganov [aut, cph] , The ggml authors [cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , pi6am [ctb] , Ivan Yurchenko [ctb] , Dirk Eddelbuettel [ctb]
Maintainer: Pawan Rama Mali <prm@outlook.in>

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Package MR.RGM updated to version 0.1.0 with previous version 0.0.5 dated 2025-09-29

Title: Fitting Multivariate Bidirectional Mendelian Randomization Networks Using Bayesian Directed Cyclic Graphical Models
Description: Addressing a central challenge encountered in Mendelian randomization (MR) studies, where MR primarily focuses on discerning the effects of individual exposures on specific outcomes and establishes causal links between them. Using a network-based methodology, the intricacy involving interdependent outcomes due to numerous factors has been tackled through this routine. Based on Ni et al. (2018) <doi:10.1214/17-BA1087>, 'MR.RGM' extends to a broader exploration of the causal landscape by leveraging on network structures and involves the construction of causal graphs that capture interactions between response variables and consequently between responses and instrument variables. The resulting Graph visually represents these causal connections, showing directed edges with effect sizes labeled. 'MR.RGM' facilitates the navigation of various data availability scenarios effectively by accommodating three input formats, i.e., individual-level data and two types of summary-level data. The [...truncated...]
Author: Bitan Sarkar [aut, cre], Yang Ni [aut]
Maintainer: Bitan Sarkar <bitan@tamu.edu>

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Package WASP updated to version 1.4.5 with previous version 1.4.4 dated 2024-07-20

Title: Wavelet System Prediction
Description: The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.
Author: Ze Jiang [aut, cre] , Md. Mamunur Rashid [aut] , Ashish Sharma [aut] , Fiona Johnson [aut]
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>

Diff between WASP versions 1.4.4 dated 2024-07-20 and 1.4.5 dated 2026-01-22

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Permanent link

Package spatstat.explore updated to version 3.7-0 with previous version 3.6-0 dated 2025-11-22

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Ya-Mei Chang [ctb], Jean-Francois Coeurjolly [ctb], Lucia Cobo Sanchez [ctb, cph], Ottma [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package rice updated to version 1.6.2 with previous version 1.6.0 dated 2026-01-08

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre] , Paula Reimer [ctb] , Vegard Martinsen [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rice versions 1.6.0 dated 2026-01-08 and 1.6.2 dated 2026-01-22

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More information about rice at CRAN
Permanent link

Package qrng updated to version 0.0-11 with previous version 0.0-10 dated 2024-02-29

Title: (Randomized) Quasi-Random Number Generators
Description: Functionality for generating (randomized) quasi-random numbers in high dimensions.
Author: Marius Hofert [aut, cre], Christiane Lemieux [aut]
Maintainer: Marius Hofert <mhofert@hku.hk>

Diff between qrng versions 0.0-10 dated 2024-02-29 and 0.0-11 dated 2026-01-22

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Package gt updated to version 1.3.0 with previous version 1.2.0 dated 2025-12-16

Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data with an easy-to-use set of functions. With its progressive approach, we can construct display tables with a cohesive set of table parts. Table values can be formatted using any of the included formatting functions. Footnotes and cell styles can be precisely added through a location targeting system. The way in which 'gt' handles things for you means that you don't often have to worry about the fine details.
Author: Richard Iannone [aut, cre] , Joe Cheng [aut], Barret Schloerke [aut] , Shannon Haughton [aut], Ellis Hughes [aut] , Alexandra Lauer [aut] , Romain Francois [aut], JooYoung Seo [aut] , Ken Brevoort [aut] , Olivier Roy [aut], Posit Software, PBC [cph, [...truncated...]
Maintainer: Richard Iannone <rich@posit.co>

Diff between gt versions 1.2.0 dated 2025-12-16 and 1.3.0 dated 2026-01-22

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More information about gt at CRAN
Permanent link

Package BoutrosLab.plotting.general updated to version 7.1.5 with previous version 7.1.2 dated 2024-10-04

Title: Functions to Create Publication-Quality Plots
Description: Contains several plotting functions such as barplots, scatterplots, heatmaps, as well as functions to combine plots and assist in the creation of these plots. These functions will give users great ease of use and customization options in broad use for biomedical applications, as well as general purpose plotting. Each of the functions also provides valid default settings to make plotting data more efficient and producing high quality plots with standard colour schemes simpler. All functions within this package are capable of producing plots that are of the quality to be presented in scientific publications and journals. P'ng et al.; BPG: Seamless, automated and interactive visualization of scientific data; BMC Bioinformatics 2019 <doi:10.1186/s12859-019-2610-2>.
Author: Paul Boutros [aut, cre], Christine P'ng [ctb], Jeff Green [ctb], Stephenie Prokopec [ctb], Ontario Institute for Cancer Research [cph], The R Core Team [cph], The R Foundation [cph], Robert Gentleman [ctb], Ross Ihaka [ctb], Caden Bugh [ctb], Dan Kni [...truncated...]
Maintainer: Paul Boutros <PBoutros@sbpdiscovery.org>

Diff between BoutrosLab.plotting.general versions 7.1.2 dated 2024-10-04 and 7.1.5 dated 2026-01-22

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Wed, 21 Jan 2026

Package atakrig updated to version 0.9.8.2 with previous version 0.9.8.1 dated 2023-10-09

Title: Area-to-Area Kriging
Description: Point-scale variogram deconvolution from irregular/regular spatial support according to Goovaerts, P., (2008) <doi: 10.1007/s11004-007-9129-1>; ordinary area-to-area (co)Kriging and area-to-point (co)Kriging.
Author: Maogui Hu [aut, cre], Yanwei Huang [ctb], Roger Bivand [ctb]
Maintainer: Maogui Hu <humg@lreis.ac.cn>

Diff between atakrig versions 0.9.8.1 dated 2023-10-09 and 0.9.8.2 dated 2026-01-21

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Package STMr updated to version 0.1.7 with previous version 0.1.6 dated 2023-11-02

Title: Strength Training Manual R-Language Functions
Description: Strength training prescription using percent-based approach requires numerous computations and assumptions. 'STMr' package allow users to estimate individual reps-max relationships, implement various progression tables, and create numerous set and rep schemes. The 'STMr' package is originally created as a tool to help writing Jovanović M. (2020) Strength Training Manual <ISBN:979-8604459898>.
Author: Mladen Jovanovic [aut, cre]
Maintainer: Mladen Jovanovic <coach.mladen.jovanovic@gmail.com>

Diff between STMr versions 0.1.6 dated 2023-11-02 and 0.1.7 dated 2026-01-21

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Package multivarious updated to version 0.3.1 with previous version 0.3.0 dated 2026-01-21

Title: Extensible Data Structures for Multivariate Analysis
Description: Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>

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Package hexify updated to version 0.3.8 with previous version 0.3.3 dated 2026-01-20

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

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Package CCI updated to version 0.3.6 with previous version 0.3.4 dated 2025-09-11

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

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Package rerddapXtracto updated to version 1.2.4 with previous version 1.2.3 dated 2025-04-26

Title: Extracts Environmental Data from 'ERDDAP™' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP™' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP™' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre], Marie Auger-Methe [ctb], Sunny Bak-Hospital [ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package PriceIndices updated to version 0.2.7 with previous version 0.2.6 dated 2025-12-12

Title: Calculating Bilateral and Multilateral Price Indexes
Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>, Białek (2019) <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.
Author: Jacek Bialek [aut, cre]
Maintainer: Jacek Bialek <jacek.bialek@uni.lodz.pl>

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Package ggrain updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-24

Title: A Rainclouds Geom for 'ggplot2'
Description: The 'geom_rain()' function adds different geoms together using 'ggplot2' to create raincloud plots.
Author: Nicholas Judd [aut, cre] , Jordy van Langen [aut] , Micah Allen [ctb] , Rogier Kievit [aut]
Maintainer: Nicholas Judd <nickkjudd@gmail.com>

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Package SimplyAgree updated to version 0.3.0 with previous version 0.2.1 dated 2025-02-24

Title: Flexible and Robust Agreement and Reliability Analyses
Description: Reliability and agreement analyses often have limited software support. Therefore, this package was created to make agreement and reliability analyses easier for the average researcher. The functions within this package include simple tests of agreement, agreement analysis for nested and replicate data, and provide robust analyses of reliability. In addition, this package contains a set of functions to help when planning studies looking to assess measurement agreement.
Author: Aaron Caldwell [aut, cre]
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

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Package scdhlm updated to version 0.7.4 with previous version 0.7.3 dated 2024-02-25

Title: Estimating Hierarchical Linear Models for Single-Case Designs
Description: Provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>; Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>; and Chen, Pustejovsky, Klingbeil, and Van Norman (2023) <DOI:10.1016/j.jsp.2023.02.002>. Includes an interactive web interface.
Author: James Pustejovsky [aut, cre], Man Chen [aut], Bethany Hamilton [aut]
Maintainer: James Pustejovsky <jepusto@gmail.com>

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Package fxl updated to version 1.7.3 with previous version 1.7.2 dated 2024-12-20

Title: 'fxl' Single Case Design Charting Package
Description: The 'fxl' Charting package is used to prepare and design single case design figures that are typically prepared in spreadsheet software. With 'fxl', there is no need to leave the R environment to prepare these works and many of the more unique conventions in single case experimental designs can be performed without the need for physically constructing features of plots (e.g., drawing annotations across plots). Support is provided for various different plotting arrangements (e.g., multiple baseline), annotations (e.g., brackets, arrows), and output formats (e.g., svg, rasters).
Author: Shawn Gilroy [aut, cre, cph]
Maintainer: Shawn Gilroy <sgilroy1@lsu.edu>

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Package expertsurv updated to version 1.4.1 with previous version 1.4.0 dated 2025-02-20

Title: Incorporate Expert Opinion with Parametric Survival Models
Description: Enables users to incorporate expert opinion with parametric survival analysis using a Bayesian or frequentist approach. Expert Opinion can be provided on the survival probabilities at certain time-point(s) or for the difference in mean survival between two treatment arms. Please reference it's use as Cooney, P., White, A. (2023) <doi:10.1177/0272989X221150212>.
Author: Philip Cooney [aut, cre] , Arthur White [ths]
Maintainer: Philip Cooney <phcooney@tcd.ie>

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Package rmangal readmission to version 2.2.2 with previous version 2.1.3 dated 2023-03-30

Title: 'Mangal' Client
Description: An interface to the 'Mangal' database - a collection of ecological networks. This package includes functions to work with the 'Mangal RESTful API' methods (<https://mangal-interactions.github.io/mangal-api/>).
Author: Steve Vissault [aut, ctb] , Kevin Cazelles [aut, cre] , Gabriel Bergeron [aut, ctb], Benjamin Mercier [aut, ctb], Clement Violet [aut, ctb], Dominique Gravel [aut], Timothee Poisot [aut], Thomas Lin Pedersen [rev] , Anna Willoughby [rev]
Maintainer: Kevin Cazelles <kevin.cazelles@insileco.io>

This is a re-admission after prior archival of version 2.1.3 dated 2023-03-30

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Package pwlmm updated to version 1.1.2 with previous version 1.1.1 dated 2022-06-13

Title: PWIGLS for Two-Level Multivariate and Multilevel Linear Models
Description: Estimates two-level multilevel linear model and two-level multivariate linear multilevel model with weights following Probability Weighted Iterative Generalised Least Squares approach. For details see Veiga et al.(2014) <doi:10.1111/rssc.12020>.
Author: Alinne Veiga [aut, cre] , Joao Messa [aut, trl, com]
Maintainer: Alinne Veiga <alinne.veiga@ibge.gov.br>

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Package GWsignif updated to version 1.2.1 with previous version 1.2 dated 2016-09-12

Title: Estimating Genome-Wide Significance for Whole Genome Sequencing Studies, Either Single SNP Tests or Region-Based Tests
Description: The correlations and linkage disequilibrium between tests can vary as a function of minor allele frequency thresholds used to filter variants, and also varies with different choices of test statistic for region-based tests. Appropriate genome-wide significance thresholds can be estimated empirically through permutation on only a small proportion of the whole genome.
Author: Changjiang Xu [aut, cre], Celia M.T. Greenwood [ctb]
Maintainer: Changjiang Xu <changjiang.h.xu@gmail.com>

Diff between GWsignif versions 1.2 dated 2016-09-12 and 1.2.1 dated 2026-01-21

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Package CRTspat updated to version 1.4.0 with previous version 1.3.2 dated 2025-01-27

Title: Workflow for Cluster Randomised Trials with Spillover
Description: Design, workflow and statistical analysis of Cluster Randomised Trials of (health) interventions where there may be spillover between the arms (see <https://thomasasmith.github.io/index.html>).
Author: Thomas Smith [aut, cre, cph] , Lea Multerer [ctb], Mariah Silkey [ctb]
Maintainer: Thomas Smith <Thomas-a.Smith@unibas.ch>

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Package sfa readmission to version 1.0.4 with previous version 1.0-1 dated 2014-01-06

Title: Stochastic Frontier Analysis
Description: Provides a user-friendly framework for estimating a wide variety of cross-sectional and panel stochastic frontier models. Suitable for a broad range of applications, the implementation offers extensive flexibility in specification and estimation techniques.
Author: David Bernstein [aut, cre] , Christopher Parmeter [aut], Alexander Stead [aut]
Maintainer: David Bernstein <davebernstein1@gmail.com>

This is a re-admission after prior archival of version 1.0-1 dated 2014-01-06

Diff between sfa versions 1.0-1 dated 2014-01-06 and 1.0.4 dated 2026-01-21

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Package plmmr updated to version 4.2.2 with previous version 4.2.1 dated 2025-03-03

Title: Penalized Linear Mixed Models for Correlated Data
Description: Fits penalized linear mixed models that correct for unobserved confounding factors. 'plmmr' infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental heterogeneity. It then fits a linear model via penalized maximum likelihood. Originally designed for the multivariate analysis of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study (GWAS), 'plmmr' eliminates the need for subpopulation-specific analyses and post-analysis p-value adjustments. Functions for the appropriate processing of 'PLINK' files are also supplied. For examples, see the package homepage. <https://pbreheny.github.io/plmmr/>.
Author: Tabitha K. Peter [aut] , Anna C. Reisetter [aut] , Yujing Lu [aut], Oscar A. Rysavy [aut], Patrick J. Breheny [aut, cre]
Maintainer: Patrick J. Breheny <patrick-breheny@uiowa.edu>

Diff between plmmr versions 4.2.1 dated 2025-03-03 and 4.2.2 dated 2026-01-21

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Package zcurve updated to version 2.4.6 with previous version 2.4.5 dated 2025-09-05

Title: An Implementation of Z-Curves
Description: An implementation of z-curves - a method for estimating expected discovery and replicability rates on the bases of test-statistics of published studies. The package provides functions for fitting the density, EM, and censored EM version (Bartoš & Schimmack, 2022, <doi:10.15626/MP.2021.2720>; Schimmack & Bartoš, 2023, <doi: 10.1371/journal.pone.0290084>), as well as the original density z-curve (Brunner & Schimmack, 2020, <doi:10.15626/MP.2018.874>). Furthermore, the package provides summarizing and plotting functions for the fitted z-curve objects. See the aforementioned articles for more information about the z-curves, expected discovery and replicability rates, validation studies, and limitations.
Author: Frantisek Bartos [aut, cre], Ulrich Schimmack [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between zcurve versions 2.4.5 dated 2025-09-05 and 2.4.6 dated 2026-01-21

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Package plgp updated to version 1.1-13 with previous version 1.1-12 dated 2022-10-19

Title: Particle Learning of Gaussian Processes
Description: Sequential Monte Carlo (SMC) inference for fully Bayesian Gaussian process (GP) regression and classification models by particle learning (PL) following Gramacy & Polson (2011) <doi:10.48550/arXiv.0909.5262>. The sequential nature of inference and the active learning (AL) hooks provided facilitate thrifty sequential design (by entropy) and optimization (by improvement) for classification and regression models, respectively. This package essentially provides a generic PL interface, and functions (arguments to the interface) which implement the GP models and AL heuristics. Functions for a special, linked, regression/classification GP model and an integrated expected conditional improvement (IECI) statistic provide for optimization in the presence of unknown constraints. Separable and isotropic Gaussian, and single-index correlation functions are supported. See the examples section of ?plgp and demo(package="plgp") for an index of demos.
Author: Robert B. Gramacy [aut, cre]
Maintainer: Robert B. Gramacy <rbg@vt.edu>

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Package multivarious updated to version 0.3.0 with previous version 0.2.0 dated 2024-03-28

Title: Extensible Data Structures for Multivariate Analysis
Description: Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>

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Package mgwrsar updated to version 1.3.1 with previous version 1.1 dated 2025-02-20

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

Diff between mgwrsar versions 1.1 dated 2025-02-20 and 1.3.1 dated 2026-01-21

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Package hash updated to version 2.2.6.4 with previous version 2.2.6.3 dated 2023-08-19

Title: Full Featured Implementation of Hash Tables/Associative Arrays/Dictionaries
Description: Implements a data structure similar to hashes in Perl and dictionaries in Python but with a purposefully R flavor. For objects of appreciable size, access using hashes outperforms native named lists and vectors.
Author: Christopher Brown [aut], John Hughes [cre, ctb]
Maintainer: John Hughes <drjphughesjr@gmail.com>

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Package groupedHyperframe updated to version 0.3.3 with previous version 0.3.2 dated 2025-11-25

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

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Package mixsmsn updated to version 1.1-12 with previous version 1.1-11 dated 2025-04-23

Title: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions
Description: Functions to fit finite mixture of scale mixture of skew-normal (FM-SMSN) distributions, details in Prates, Lachos and Cabral (2013) <doi: 10.18637/jss.v054.i12>, Cabral, Lachos and Prates (2012) <doi:10.1016/j.csda.2011.06.026> and Basso, Lachos, Cabral and Ghosh (2010) <doi:10.1016/j.csda.2009.09.031>.
Author: Marcos Prates [aut, cre, trl] , Victor Lachos [aut] , Celso Cabral [aut]
Maintainer: Marcos Prates <marcosop@est.ufmg.br>

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Package tsforecast updated to version 1.3.0 with previous version 1.2.1 dated 2025-12-19

Title: Time Series Forecasting Functions
Description: Fundamental time series forecasting models such as autoregressive integrated moving average (ARIMA), exponential smoothing, and simple moving average are included. For ARIMA models, the output follows the traditional parameterisation by Box and Jenkins (1970, ISBN: 0816210942, 9780816210947). Furthermore, there are functions for detailed time series exploration and decomposition, respectively. All data and result visualisations are generated by 'ggplot2' instead of conventional R graphical output. For more details regarding the theoretical background of the models see Hyndman, R.J. and Athanasopoulos, G. (2021) <https://otexts.com/fpp3/>.
Author: Ka Yui Karl Wu [aut, cre]
Maintainer: Ka Yui Karl Wu <karlwuky@suss.edu.sg>

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Package hyperoverlap updated to version 1.1.4 with previous version 1.1.3 dated 2025-09-23

Title: Overlap Detection in n-Dimensional Space
Description: Uses support vector machines to identify a perfectly separating hyperplane (linear or curvilinear) between two entities in high-dimensional space. If this plane exists, the entities do not overlap. Applications include overlap detection in morphological, resource or environmental dimensions. More details can be found in: Brown et al. (2020) <doi:10.1111/2041-210X.13363> .
Author: Matilda Brown [aut, cre] , Greg Jordan [aut]
Maintainer: Matilda Brown <m.brown2@kew.org>

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Package dexter updated to version 1.7.2 with previous version 1.7.0 dated 2025-09-26

Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.
Author: Gunter Maris [aut], Timo Bechger [aut], Jesse Koops [aut, cre], Ivailo Partchev [aut]
Maintainer: Jesse Koops <jesse.koops@cito.nl>

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Package couplr updated to version 1.0.10 with previous version 1.0.8 dated 2026-01-21

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

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Package SIMPLE.REGRESSION updated to version 0.3.1 with previous version 0.2.8 dated 2025-11-19

Title: OLS, Moderated, Logistic, and Count Regressions Made Simple
Description: Provides SPSS- and SAS-like output for least squares multiple regression, logistic regression, and count variable regressions. Detailed output is also provided for OLS moderated regression, interaction plots, and Johnson-Neyman regions of significance. The output includes standardized coefficients, partial and semi-partial correlations, collinearity diagnostics, plots of residuals, and detailed information about simple slopes for interactions. The output for some functions includes Bayes Factors and, if requested, regression coefficients from Bayesian Markov Chain Monte Carlo analyses. There are numerous options for model plots. The REGIONS_OF_SIGNIFICANCE function also provides Johnson-Neyman regions of significance and plots of interactions for both lm and lme models. There is also a function for partial and semipartial correlations and a function for conducting Cohen's set correlation analyses.
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

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Package SerolyzeR updated to version 1.4.0 with previous version 1.3.1 dated 2025-10-21

Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.
Author: Jakub Grzywaczewski [aut, cre], Tymoteusz Kwiecinski [aut] , Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths] , Nuno Sepulveda [ths]
Maintainer: Jakub Grzywaczewski <jakubzgrzywaczewski@gmail.com>

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Package ethiodate updated to version 0.3.1 with previous version 0.3.0 dated 2025-12-19

Title: Working with Ethiopian Dates
Description: A robust and efficient solution for working with Ethiopian dates. It can seamlessly convert to and from Gregorian dates. It is designed to be compatible with the 'tidyverse' data workflow, including plotting with 'ggplot2'. It ensures lightning-fast computations by integrating high-performance 'C++' code through 'Rcpp' package.
Author: Gutama Girja Urago [aut, cre, cph]
Maintainer: Gutama Girja Urago <girjagutama@gmail.com>

Diff between ethiodate versions 0.3.0 dated 2025-12-19 and 0.3.1 dated 2026-01-21

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Package BBmisc updated to version 1.13.1 with previous version 1.13 dated 2022-09-29

Title: Miscellaneous Helper Functions for B. Bischl
Description: Miscellaneous helper functions for and from B. Bischl and some other guys, mainly for package development.
Author: Bernd Bischl [aut, cre], Michel Lang [aut], Jakob Bossek [aut], Daniel Horn [aut], Jakob Richter [aut], Dirk Surmann [aut]
Maintainer: Bernd Bischl <bernd_bischl@gmx.net>

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Package whirl updated to version 0.3.2 with previous version 0.3.1 dated 2025-08-25

Title: Log Execution of Scripts
Description: Logging of scripts suitable for clinical trials using 'Quarto' to create nice human readable logs. 'whirl' enables execution of scripts in batch, while simultaneously creating logs for the execution of each script, and providing an overview summary log of the entire batch execution.
Author: Aksel Thomsen [aut, cre], Lovemore Gakava [aut], Cervan Girard [aut], Kristian Troejelsgaard [aut], Steffen Falgreen Larsen [aut], Vladimir Obucina [aut], Michael Svingel [aut], Skander Mulder [aut], Oliver Lundsgaard [aut], Novo Nordisk A/S [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>

Diff between whirl versions 0.3.1 dated 2025-08-25 and 0.3.2 dated 2026-01-21

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Package RastaRocket updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-20

Title: Rocket-Fast Clinical Research Reporting
Description: Description of the tables, both grouped and not grouped, with some associated data management actions, such as sorting the terms of the variables and deleting terms with zero numbers.
Author: USMR CHU de Bordeaux [aut, cre], Valentine Renaudeau [aut], Marion Kret [aut], Matisse Decilap [aut], Sahardid Mohamed Houssein [aut], Thomas Ferte [aut]
Maintainer: USMR CHU de Bordeaux <astreinte.usmr@chu-bordeaux.fr>

Diff between RastaRocket versions 1.0.0 dated 2025-11-20 and 1.0.1 dated 2026-01-21

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Package oldr updated to version 0.2.4 with previous version 0.2.3 dated 2025-01-24

Title: An Implementation of Rapid Assessment Method for Older People
Description: An implementation of the Rapid Assessment Method for Older People or RAM-OP <https://www.helpage.org/resource/rapid-assessment-method-for-older-people-ramop-manual/>. It provides various functions that allow the user to design and plan the assessment and analyse the collected data. RAM-OP provides accurate and reliable estimates of the needs of older people.
Author: Mark Myatt [aut, cph] , Ernest Guevarra [aut, cre, cph] , Pascale Fritsch [aut], Katja Siling [aut], HelpAge International [cph], Elrha [fnd]
Maintainer: Ernest Guevarra <ernest@guevarra.io>

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Package glmmrBase updated to version 1.2.0 with previous version 1.1.0 dated 2025-09-29

Title: Generalised Linear Mixed Models in R
Description: Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

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Package vcdExtra updated to version 0.9.0 with previous version 0.8.7 dated 2025-12-11

Title: 'vcd' Extensions and Additions
Description: Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data and the 'gnm' package for Generalized Nonlinear Models. In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of 'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer.
Author: Michael Friendly [aut, cre] , David Meyer [ctb], Achim Zeileis [ctb] , Duncan Murdoch [ctb], Heather Turner [ctb] , David Firth [ctb], Daniel Sabanes Bove [ctb], Matt Kumar [ctb], Shuguang Sun [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package nhdplusTools updated to version 1.4.2 with previous version 1.4.1 dated 2025-12-05

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

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Package TrendLSW updated to version 1.0.6 with previous version 1.0.4 dated 2025-11-24

Title: Wavelet Methods for Analysing Locally Stationary Time Series
Description: Fitting models for, and simulation of, trend locally stationary wavelet (TLSW) time series models, which take account of time-varying trend and dependence structure in a univariate time series. The TLSW model, and its estimation, is described in McGonigle, Killick and Nunes (2022a) <doi:10.1111/jtsa.12643>, (2022b) <doi:10.1214/22-EJS2044>. Further information regarding the use of the package, along with detailed examples, can be found in McGonigle, Killick and Nunes (2025) <doi:10.18637/jss.v115.i10>. New users will likely want to start with the TLSW function.
Author: Euan T. McGonigle [aut, cre], Rebecca Killick [aut], Matthew Nunes [aut]
Maintainer: Euan T. McGonigle <e.t.mcgonigle@soton.ac.uk>

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Package tidyjson readmission to version 0.3.3.1 with previous version 0.3.2 dated 2023-01-06

Title: Tidy Complex 'JSON'
Description: Turn complex 'JSON' data into tidy data frames.
Author: Jeremy Stanley [aut], Cole Arendt [aut, cre]
Maintainer: Cole Arendt <cole@benetist.com>

This is a re-admission after prior archival of version 0.3.2 dated 2023-01-06

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Package singleRcapture updated to version 1.0.0 with previous version 0.2.3 dated 2025-02-13

Title: Single-Source Capture-Recapture Models
Description: Implementation of single-source capture-recapture methods for population size estimation using zero-truncated, zero-one truncated and zero-truncated one-inflated Poisson, Geometric and Negative Binomial regression as well as Zelterman's and Chao's regression. Package includes point and interval estimators for the population size with variances estimated using analytical or bootstrap method. Details can be found in: van der Heijden et all. (2003) <doi:10.1191/1471082X03st057oa>, Böhning and van der Heijden (2019) <doi:10.1214/18-AOAS1232>, Böhning et al. (2020) Capture-Recapture Methods for the Social and Medical Sciences or Böhning and Friedl (2021) <doi:10.1007/s10260-021-00556-8>.
Author: Piotr Chlebicki [aut, ctb] , Maciej Beresewicz [aut, cre]
Maintainer: Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl>

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Package SIAmodules updated to version 0.1.3 with previous version 0.1.2 dated 2025-03-28

Title: Modules for 'ShinyItemAnalysis'
Description: Package including additional modules for interactive 'ShinyItemAnalysis' application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.
Author: Patricia Martinkova [aut, cre] , Jan Netik [aut] , Adela Hladka [aut]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

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Package Rwbo updated to version 0.1.2 with previous version 0.1.1 dated 2026-01-16

Title: Run the 'Open-WBO' MaxSAT Solver
Description: Provides a wrapper for running the bundled 'Open-WBO' Maximum Satisfiability (MaxSAT) solver (<https://github.com/sat-group/open-wbo>). Users can pass command-line arguments to the solver and capture its output as a character string or file.
Author: Matthias Ollech [aut, cre], Ruben Martins, Vasco Manquinho, Ines Lynce [cph]
Maintainer: Matthias Ollech <ollech@gmx.com>

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Package RSP readmission to version 0.5 with previous version 0.4 dated 2023-09-24

Title: 'shiny' Applications for Statistical and Psychometric Analysis
Description: Toolbox with 'shiny' applications for widely used psychometric methods. Those methods include following analysis: Item analysis, item response theory calibration, principal component analysis, confirmatory factor analysis - structural equation modeling, generating simulated data. References: Chalmers (2012, <doi:10.18637/jss.v048.i06>); Revelle (2022, <https://CRAN.R-project.org/package=psych Version = 2.2.9.>); Rosseel (2012, <doi:10.18637/jss.v048.i02>); Magis & Raiche (2012, <doi:10.18637/jss.v048.i08>); Magis & Barrada (2017, <doi:10.18637/jss.v076.c01>).
Author: Celal Deha Dogan [aut] , Eren Can Aybek [aut, cre] , Sumeyra Soysal [ctb]
Maintainer: Eren Can Aybek <erencan@aybek.net>

This is a re-admission after prior archival of version 0.4 dated 2023-09-24

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Package panelr readmission to version 1.0.0 with previous version 0.7.8 dated 2023-08-22

Title: Regression Models and Utilities for Repeated Measures and Panel Data
Description: Provides an object type and associated tools for storing and wrangling panel data. Implements several methods for creating regression models that take advantage of the unique aspects of panel data. Among other capabilities, automates the "within-between" (also known as "between-within" and "hybrid") panel regression specification that combines the desirable aspects of both fixed effects and random effects econometric models and fits them as multilevel models (Allison, 2009 <doi:10.4135/9781412993869.d33>; Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be estimated via generalized estimating equations (GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian estimation is (optionally) supported via 'Stan'. Supports estimation of asymmetric effects models via first differences (Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized linear model extension thereof using GEE.
Author: Jacob A. Long [aut, cre]
Maintainer: Jacob A. Long <jacob.long@sc.edu>

This is a re-admission after prior archival of version 0.7.8 dated 2023-08-22

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Package NetworkChange updated to version 1.0.0 with previous version 0.8 dated 2022-03-04

Title: Bayesian Package for Network Changepoint Analysis
Description: Network changepoint analysis for undirected network data. The package implements a hidden Markov network change point model (Park and Sohn (2020)). Functions for break number detection using the approximate marginal likelihood and WAIC are also provided. This version includes performance optimizations with vectorized MCMC operations and modern ggplot2-based visualizations with colorblind-friendly palettes.
Author: Jong Hee Park [aut, cre], Yunkyu Sohn [aut]
Maintainer: Jong Hee Park <jongheepark@snu.ac.kr>

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Package MF.beta4 updated to version 1.1.2 with previous version 1.1.1 dated 2024-12-08

Title: Measuring Ecosystem Multi-Functionality and Its Decomposition
Description: Provide simple functions to (i) compute a class of multi-functionality measures for a single ecosystem for given function weights, (ii) decompose gamma multi-functionality for pairs of ecosystems and K ecosystems (K can be greater than 2) into a within-ecosystem component (alpha multi-functionality) and an among-ecosystem component (beta multi-functionality). In each case, the correlation between functions can be corrected for. Based on biodiversity and ecosystem function data, this software also facilitates graphics for assessing biodiversity-ecosystem functioning relationships across scales.
Author: Anne Chao [aut, cre], Chun-Yu Liu [ctb], KaiHsiang Hu [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>

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Package matman updated to version 1.1.4 with previous version 1.1.3 dated 2021-12-13

Title: Material Management
Description: A set of functions, classes and methods for performing ABC and ABC/XYZ analyses, identifying overperforming, underperforming and constantly performing items, and plotting, analyzing as well as predicting the temporal development of items.
Author: Leon Binder [cre, aut], Bernhard Bauer [aut], Michael Scholz [aut]
Maintainer: Leon Binder <leon.binder@th-deg.de>

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Package lavinteract updated to version 0.3.5 with previous version 0.3.4 dated 2025-11-13

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>

Diff between lavinteract versions 0.3.4 dated 2025-11-13 and 0.3.5 dated 2026-01-21

 DESCRIPTION   |    6 +++---
 MD5           |    6 +++---
 NEWS.md       |    7 ++++++-
 inst/CITATION |    4 ++--
 4 files changed, 14 insertions(+), 9 deletions(-)

More information about lavinteract at CRAN
Permanent link

Package hexSticker updated to version 0.5.1 with previous version 0.5.0 dated 2025-09-18

Title: Create Hexagon Sticker in R
Description: Helper functions for creating reproducible hexagon sticker purely in R.
Author: Guangchuang Yu [aut, cre], Laurent Gatto [ctb], Johannes Rainer [ctb], Sebastian Gibb [ctb], Robert Corty [ctb], Thomas Neitmann [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between hexSticker versions 0.5.0 dated 2025-09-18 and 0.5.1 dated 2026-01-21

 DESCRIPTION |    6 +++---
 MD5         |    6 +++---
 NEWS.md     |    5 +++++
 R/sticker.R |    6 +++---
 4 files changed, 14 insertions(+), 9 deletions(-)

More information about hexSticker at CRAN
Permanent link

Package EEAaq readmission to version 1.0.2 with previous version 1.0.1 dated 2025-03-20

Title: Handle Air Quality Data from the European Environment Agency Data Portal
Description: This software downloads and manages air quality data from the European Environmental Agency (EEA) dataflow (<https://www.eea.europa.eu/data-and-maps/data/aqereporting-9>). See the web page <https://eeadmz1-downloads-webapp.azurewebsites.net/> for details on the EEA's Air Quality Download Service. The package allows dynamically mapping the stations, summarising and time aggregating the measurements and building spatial interpolation maps. See the web page <https://www.eea.europa.eu/en> for further information on EEA activities and history. Further details, as well as, an extended vignette of the main functions included in the package, are available at the GitHub web page dedicated to the project.
Author: Paolo Maranzano [aut, cre, cph] , Riccardo Borgoni [aut, cph] , Samir Doghmi [aut, cph], Agostino Tassan Mazzocco [aut, cph]
Maintainer: Paolo Maranzano <pmaranzano.ricercastatistica@gmail.com>

This is a re-admission after prior archival of version 1.0.1 dated 2025-03-20

Diff between EEAaq versions 1.0.1 dated 2025-03-20 and 1.0.2 dated 2026-01-21

 DESCRIPTION                 |   26 ++--
 MD5                         |   55 ++++----
 R/EEAaq_export.R            |    8 -
 R/EEAaq_get_data.R          |  277 ++++++++++++++++----------------------------
 R/EEAaq_get_stations.R      |    3 
 R/EEAaq_idw_map.R           |   45 +++----
 R/EEAaq_import.R            |    5 
 R/EEAaq_map_stations.R      |  135 +++++++--------------
 R/EEAaq_summary.R           |   17 +-
 R/EEAaq_time_aggregate.R    |   14 --
 R/data.R                    |    1 
 R/get_LAU.R                 |    2 
 R/get_NUTS.R                |    1 
 R/get_pollutant.R           |    6 
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 R/globals.R                 |   13 +-
 R/handle_dates.R            |   13 +-
 R/is_EEAaq_df.R             |    5 
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 man/EEAaq_summary.Rd        |   17 --
 man/EEAaq_time_aggregate.Rd |   14 --
 man/is_EEAaq_df.Rd          |    5 
 vignettes                   |only
 29 files changed, 340 insertions(+), 453 deletions(-)

More information about EEAaq at CRAN
Permanent link

Package drf updated to version 1.3.0 with previous version 1.2.0 dated 2025-12-08

Title: Distributional Random Forests
Description: An implementation of distributional random forests as introduced in Cevid & Michel & Naf & Meinshausen & Buhlmann (2022) <doi:10.48550/arXiv.2005.14458>.
Author: Jeffrey Naf [cre], Loris Michel [aut], Domagoj Cevid [aut]
Maintainer: Jeffrey Naf <jeffrey.naf@unige.ch>

Diff between drf versions 1.2.0 dated 2025-12-08 and 1.3.0 dated 2026-01-21

 DESCRIPTION                                           |    8 
 MD5                                                   |   24 +-
 R/RcppExports.R                                       |    4 
 R/analysis_tools.R                                    |   58 ++++-
 R/drf.R                                               |   19 +
 R/predict.R                                           |  176 +++++++++++-------
 man/drf.Rd                                            |   20 +-
 man/get_sample_weights.Rd                             |   31 ++-
 man/predict.drf.Rd                                    |  105 ++++++++++
 src/AnalysisToolsBindings.cpp                         |  108 ++++++++++-
 src/RcppExports.cpp                                   |   17 +
 src/src/prediction/collector/SampleWeightComputer.cpp |   13 +
 src/src/prediction/collector/SampleWeightComputer.h   |    4 
 13 files changed, 477 insertions(+), 110 deletions(-)

More information about drf at CRAN
Permanent link

Package crane updated to version 0.3.1 with previous version 0.3.0 dated 2025-12-06

Title: Supplements the 'gtsummary' Package for Pharmaceutical Reporting
Description: Tables summarizing clinical trial results are often complex and require detailed tailoring prior to submission to a health authority. The 'crane' package supplements the functionality of the 'gtsummary' package for creating these often highly bespoke tables in the pharmaceutical industry.
Author: Daniel D. Sjoberg [aut] , Emily de la Rua [aut] , Davide Garolini [aut] , Abinaya Yogasekaram [ctb] , Joe Zhu [cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between crane versions 0.3.0 dated 2025-12-06 and 0.3.1 dated 2026-01-21

 DESCRIPTION                           |   47 ++++---
 MD5                                   |   40 ++++--
 NAMESPACE                             |  138 +++++++++++++---------
 NEWS.md                               |   12 +
 R/annotate_gg_km.R                    |only
 R/as_ggplot.R                         |only
 R/crane-package.R                     |   49 ++++---
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 R/gg_km.R                             |only
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 README.md                             |  116 +++++++++---------
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 tests/testthat/test-tbl_null_report.R |   30 ++--
 31 files changed, 427 insertions(+), 342 deletions(-)

More information about crane at CRAN
Permanent link

Package couplr updated to version 1.0.8 with previous version 1.0.6 dated 2026-01-20

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

Diff between couplr versions 1.0.6 dated 2026-01-20 and 1.0.8 dated 2026-01-21

 DESCRIPTION                             |    6 
 MD5                                     |   54 -
 NEWS.md                                 |   14 
 R/matching_diagnostics.R                |    6 
 R/matching_parallel.R                   |   12 
 R/matching_preprocessing.R              |    4 
 inst/CITATION                           |    2 
 inst/doc/algorithms.Rmd                 |   49 +
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 inst/doc/comparison.R                   |    4 
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 src/gabow_tarjan/utils_gabow_tarjan.cpp |   11 
 vignettes/algorithms.Rmd                |   49 +
 vignettes/comparison.Rmd                |   55 +
 vignettes/getting-started.Rmd           |  883 ++++++++++++++++----------------
 vignettes/matching-workflows.Rmd        |  119 ++++
 vignettes/pixel-morphing.Rmd            |   56 ++
 vignettes/troubleshooting.Rmd           |    8 
 28 files changed, 2174 insertions(+), 1521 deletions(-)

More information about couplr at CRAN
Permanent link

Package cellVolumeDist updated to version 1.5 with previous version 1.4 dated 2022-04-24

Title: Functions to Fit Cell Volume Distributions and Thereby Estimate Cell Growth Rates and Division Times
Description: Implements a methodology for using cell volume distributions to estimate cell growth rates and division times that is described in the paper, "Cell Volume Distributions Reveal Cell Growth Rates and Division Times", by Michael Halter, John T. Elliott, Joseph B. Hubbard, Alessandro Tona and Anne L. Plant, which appeared in the Journal of Theoretical Biology. In order to reproduce the analysis used to obtain Table 1 in the paper, execute the command "example(fitVolDist)".
Author: Katharine M. Mullen [aut, cre], Michael Halter [aut], John Lu [aut], Nathan Dodder [aut]
Maintainer: Katharine M. Mullen <katharine.mullen@stat.ucla.edu>

Diff between cellVolumeDist versions 1.4 dated 2022-04-24 and 1.5 dated 2026-01-21

 DESCRIPTION                 |   36 ++++++++++++++++++++++--------
 MD5                         |    6 ++---
 man/A10_vSMC_volume_data.Rd |   52 ++++++++++++++++++++++----------------------
 man/NIH3T3_volume_data.Rd   |   18 +++++++--------
 4 files changed, 64 insertions(+), 48 deletions(-)

More information about cellVolumeDist at CRAN
Permanent link

Package spatstat.random updated to version 3.4-4 with previous version 3.4-3 dated 2025-11-21

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [aut, cph] , Kasper Klitgaard Berthelsen [ctb, cph], David Bryant [ctb, cph], Ya-Mei Chang [ctb, cph], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Sc [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.random versions 3.4-3 dated 2025-11-21 and 3.4-4 dated 2026-01-21

 spatstat.random-3.4-3/spatstat.random/R/pkgRandomFields.R             |only
 spatstat.random-3.4-4/spatstat.random/DESCRIPTION                     |   18 +++----
 spatstat.random-3.4-4/spatstat.random/MD5                             |   24 +++++-----
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 spatstat.random-3.4-4/spatstat.random/inst/doc/packagesizes.txt       |    1 
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 spatstat.random-3.4-4/spatstat.random/man/rMaternII.Rd                |    9 ++-
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 spatstat.random-3.4-4/spatstat.random/man/spatstat.random-internal.Rd |    8 ---
 spatstat.random-3.4-4/spatstat.random/man/spatstat.random-package.Rd  |    8 ++-
 14 files changed, 60 insertions(+), 39 deletions(-)

More information about spatstat.random at CRAN
Permanent link

Package rswipl updated to version 10.1.1.1 with previous version 10.1.1 dated 2026-01-08

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] , Jan Wielemaker [ctb, cph] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between rswipl versions 10.1.1 dated 2026-01-08 and 10.1.1.1 dated 2026-01-21

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 rswipl-10.1.1.1/rswipl/NEWS.md                                                            |    4 
 rswipl-10.1.1.1/rswipl/src/swipl-devel/boot/tabling.pl                                    |    4 
 rswipl-10.1.1.1/rswipl/src/swipl-devel/boot/toplevel.pl                                   |    3 
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Package rosm updated to version 0.3.1 with previous version 0.3.0 dated 2023-08-27

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

Diff between rosm versions 0.3.0 dated 2023-08-27 and 0.3.1 dated 2026-01-21

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Package rncl updated to version 0.8.9 with previous version 0.8.8 dated 2025-12-08

Title: An Interface to the Nexus Class Library
Description: An interface to the Nexus Class Library which allows parsing of NEXUS, Newick and other phylogenetic tree file formats. It provides elements of the file that can be used to build phylogenetic objects such as ape's 'phylo' or phylobase's 'phylo4(d)'. This functionality is demonstrated with 'read_newick_phylo()' and 'read_nexus_phylo()'.
Author: Francois Michonneau [aut, cre] , Ben Bolker [aut] , Mark Holder [aut] , Paul Lewis [aut] , Brian O'Meara [aut]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

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Package rbibutils updated to version 2.4.1 with previous version 2.4 dated 2025-11-07

Title: Read 'Bibtex' Files and Convert Between Bibliography Formats
Description: Read and write 'Bibtex' files. Convert between bibliography formats, including 'Bibtex', 'Biblatex', 'PubMed', 'Endnote', and 'Bibentry'. Includes a port of the 'bibutils' utilities by Chris Putnam <https://sourceforge.net/projects/bibutils/>. Supports all bibliography formats and character encodings implemented in 'bibutils'.
Author: Georgi N. Boshnakov [aut, cre] ), Chris Putman [aut] , Richard Mathar [ctb] , Johannes Wilm [ctb] , R Core Team [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package questionr updated to version 0.8.2 with previous version 0.8.1 dated 2025-06-10

Title: Functions to Make Surveys Processing Easier
Description: Set of functions to make the processing and analysis of surveys easier : interactive shiny apps and addins for data recoding, contingency tables, dataset metadata handling, and several convenience functions.
Author: Julien Barnier [aut, cre], Francois Briatte [aut], Joseph Larmarange [aut]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

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Package PatientProfiles updated to version 1.4.5 with previous version 1.4.4 dated 2025-10-29

Title: Identify Characteristics of Patients in the OMOP Common Data Model
Description: Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xintong Li [ctb] , Xihang Chen [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package nycOpenData updated to version 0.1.4 with previous version 0.1.3 dated 2026-01-09

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]
Maintainer: Christian Martinez <c.martinez0@outlook.com>

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Package mvgam updated to version 1.1.594 with previous version 1.1.593 dated 2025-09-05

Title: Multivariate (Dynamic) Generalized Additive Models
Description: Fit Bayesian Dynamic Generalized Additive Models to multivariate observations. Users can build nonlinear State-Space models that can incorporate semiparametric effects in observation and process components, using a wide range of observation families. Estimation is performed using Markov Chain Monte Carlo with Hamiltonian Monte Carlo in the software 'Stan'. References: Clark & Wells (2023) <doi:10.1111/2041-210X.13974>.
Author: Nicholas J Clark [aut, cre] , KANK Karunarathna [ctb] , Sarah Heaps [ctb] , Scott Pease [ctb] , Matthijs Hollanders [ctb]
Maintainer: Nicholas J Clark <nicholas.j.clark1214@gmail.com>

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Package fmtr updated to version 1.7.1 with previous version 1.7.0 dated 2025-11-26

Title: Easily Apply Formats to Data
Description: Contains a set of functions that can be used to apply formats to data frames or vectors. The package aims to provide functionality similar to that of SAS® formats. Formats are assigned to the format attribute on data frame columns. Then when the fdata() function is called, a new data frame is created with the column data formatted as specified. The package also contains a value() function to create a user-defined format, similar to a SAS® user-defined format.
Author: David Bosak [aut, cre], Chen Ling [aut]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package collections updated to version 0.3.10 with previous version 0.3.9 dated 2025-08-18

Title: High Performance Container Data Types
Description: Provides high performance container data types such as queues, stacks, deques, dicts and ordered dicts. Benchmarks <https://randy3k.github.io/collections/articles/benchmark.html> have shown that these containers are asymptotically more efficient than those offered by other packages.
Author: Randy Lai [aut, cre], Andrea Mazzoleni [cph] , Yann Collet [cph]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package castor updated to version 1.8.5 with previous version 1.8.4 dated 2025-08-24

Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca [aut, cre, cph]
Maintainer: Stilianos Louca <louca.research@gmail.com>

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Package bbw updated to version 0.3.1 with previous version 0.3.0 dated 2025-01-16

Title: Blocked Weighted Bootstrap
Description: The blocked weighted bootstrap (BBW) is an estimation technique for use with data from two-stage cluster sampled surveys in which either prior weighting (e.g. population-proportional sampling or PPS as used in Standardized Monitoring and Assessment of Relief and Transitions or SMART surveys) or posterior weighting (e.g. as used in rapid assessment method or RAM and simple spatial sampling method or S3M surveys) is implemented. See Cameron et al (2008) <doi:10.1162/rest.90.3.414> for application of bootstrap to cluster samples. See Aaron et al (2016) <doi:10.1371/journal.pone.0163176> and Aaron et al (2016) <doi:10.1371/journal.pone.0162462> for application of the blocked weighted bootstrap to estimate indicators from two-stage cluster sampled surveys.
Author: Mark Myatt [aut, cph] , Ernest Guevarra [aut, cre, cph]
Maintainer: Ernest Guevarra <ernestgmd@gmail.com>

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Package adbcdrivermanager updated to version 0.22.0 with previous version 0.21.0 dated 2025-11-20

Title: 'Arrow' Database Connectivity ('ADBC') Driver Manager
Description: Provides a developer-facing interface to 'Arrow' Database Connectivity ('ADBC') for the purposes of driver development, driver testing, and building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package dentomedical updated to version 0.2.0 with previous version 0.1.3 dated 2025-12-04

Title: Publication-Ready Descriptive, Bivariate, Regression, Correlation and Diagnostic Accuracy Tools for Medical and Dental Data
Description: The 'dentomedical' package provides a comprehensive suite of tools for medical and dental research. It includes automated descriptive statistics, bivariate analysis with intelligent test selection, logistic regression, and diagnostic accuracy assessment. All functions generate publication-ready tables using 'flextable', ensuring reproducibility and clarity suitable for manuscripts, reports, and clinical research workflows.
Author: Umar Hussain [aut, cre], Nikolaos Pandis [aut]
Maintainer: Umar Hussain <drumarhussain@gmail.com>

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Package adbcpostgresql updated to version 0.22.0 with previous version 0.21.0 dated 2025-11-19

Title: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Tue, 20 Jan 2026

Package adbcsqlite updated to version 0.22.0 with previous version 0.21.0 dated 2025-11-19

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package pubchem.bio updated to version 1.0.5 with previous version 1.0.3 dated 2025-12-12

Title: Biologically Informed Metabolomic Libraries from 'PubChem'
Description: All 'PubChem' compounds are downloaded to a local computer, but for each compound, only partial records are used. The data are organized into small files referenced by 'PubChem' CID. This package also contains functions to parse the biologically relevant compounds from all 'PubChem' compounds, using biological database sources, pathway presence, and taxonomic relationships. Taxonomy is used to generate a lowest common ancestor taxonomy ID (NCBI) for each biological metabolite, which then enables creation of taxonomically specific metabolome databases for any taxon.
Author: Corey Broeckling [aut, cre]
Maintainer: Corey Broeckling <cbroeckl@colostate.edu>

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Package FPCdpca updated to version 0.4.0 with previous version 0.3.0 dated 2025-05-08

Title: The FPCdpca Criterion on Distributed Principal Component Analysis
Description: We consider optimal subset selection in the setting that one needs to use only one data subset to represent the whole data set with minimum information loss, and devise a novel intersection-based criterion on selecting optimal subset, called as the FPC criterion, to handle with the optimal sub-estimator in distributed principal component analysis; That is, the FPCdpca. The philosophy of the package is described in Guo G. (2025) <doi:10.1016/j.physa.2024.130308>.
Author: Guangbao Guo [aut, cre] , Jiarui Li [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package CSCNet updated to version 0.1.4 with previous version 0.1.3 dated 2026-01-08

Title: Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty
Description: Flexible tools to fit, tune and obtain absolute risk predictions from regularized cause-specific cox models with elastic-net penalty.
Author: Shahin Roshani [aut, cre, cph]
Maintainer: Shahin Roshani <s.roshani@nki.nl>

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Package pestr updated to version 0.8.4 with previous version 0.8.2 dated 2021-01-20

Title: Interface to Download Data on Pests and Hosts from 'EPPO'
Description: Set of tools to automatize extraction of data on pests from 'EPPO Data Services' and 'EPPO Global Database' and to put them into tables with human readable format. Those function use 'EPPO database API', thus you first need to register on <https://data.eppo.int> (free of charge). Additional helpers allow to download, check and connect to 'SQLite EPPO database'.
Author: Michal Jan Czyz [aut, cre]
Maintainer: Michal Jan Czyz <m.czyz.j@gmail.com>

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Package shapr updated to version 1.0.8 with previous version 1.0.7 dated 2025-12-22

Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements methods which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy') is available through PyPI.
Author: Martin Jullum [cre, aut] , Lars Henry Berge Olsen [aut] , Annabelle Redelmeier [aut], Jon Lachmann [aut] , Nikolai Sellereite [aut] , Anders Loeland [ctb], Jens Christian Wahl [ctb], Camilla Lingjaerde [ctb], Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>

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Package CptNonPar updated to version 0.3.2 with previous version 0.3.1 dated 2025-11-25

Title: Nonparametric Change Point Detection for Multivariate Time Series
Description: Implements the nonparametric moving sum procedure for detecting changes in the joint characteristic function (NP-MOJO) for multiple change point detection in multivariate time series. See McGonigle, E. T., Cho, H. (2025) <doi:10.1093/biomet/asaf024> for description of the NP-MOJO methodology.
Author: Euan T. McGonigle [aut, cre], Haeran Cho [aut]
Maintainer: Euan T. McGonigle <e.t.mcgonigle@soton.ac.uk>

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Package collett updated to version 0.1.2 with previous version 0.1.0 dated 2025-01-09

Title: Datasets from "Modelling Survival Data in Medical Research" by Collett
Description: Datasets for the book entitled "Modelling Survival Data in Medical Research" by Collett (2023) <doi:10.1201/9781003282525>. The datasets provide extensive examples of time-to-event data.
Author: Mark Clements [aut, cre] , Enoch Yi-Tung Chen [ctb]
Maintainer: Mark Clements <mark.clements@ki.se>

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Package dream updated to version 1.0.0 with previous version 0.1.0 dated 2025-07-19

Title: Dynamic Relational Event Analysis and Modeling
Description: A set of tools for relational and event analysis, including two- and one-mode network brokerage and structural measures, and helper functions optimized for relational event analysis with large datasets, including creating relational risk sets, computing network statistics, estimating relational event models, and simulating relational event sequences. For more information on relational event models, see Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x>, Lerner and Lomi (2020) <doi:10.1017/nws.2019.57>, Bianchi et al. (2024) <doi:10.1146/annurev-statistics-040722-060248>, and Butts et al. (2023) <doi:10.1017/nws.2023.9>. In terms of the structural measures in this package, see Leal (2025) <doi:10.1177/00491241251322517>, Burchard and Cornwell (2018) <doi:10.1016/j.socnet.2018.04.001>, and Fujimoto et al. (2018) <doi:10.1017/nws.2018.11>. This package was developed with support from the National Science Foundation’s (NSF) Human Networks and Data [...truncated...]
Author: Kevin A. Carson [aut, cre] , Diego F. Leal [aut]
Maintainer: Kevin A. Carson <kacarson@arizona.edu>

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Package rts2 updated to version 0.10.1 with previous version 0.9.1 dated 2025-09-11

Title: Real-Time Disease Surveillance
Description: Supports modelling real-time case data to facilitate the real-time surveillance of infectious diseases and other point phenomena. The package provides automated computational grid generation over an area of interest with methods to map covariates between geographies, model fitting including spatially aggregated case counts, and predictions and visualisation. Both Bayesian and maximum likelihood methods are provided. Log-Gaussian Cox Processes are described by Diggle et al. (2013) <doi:10.1214/13-STS441> and we provide both the low-rank approximation for Gaussian processes described by Solin and Särkkä (2020) <doi:10.1007/s11222-019-09886-w> and Riutort-Mayol et al (2023) <doi:10.1007/s11222-022-10167-2> and the nearest neighbour Gaussian process described by Datta et al (2016) <doi:10.1080/01621459.2015.1044091>.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <s.i.watson@bham.ac.uk>

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Package dittoViz updated to version 1.0.6 with previous version 1.0.5 dated 2025-12-09

Title: User Friendly Data Visualization
Description: A comprehensive visualization toolkit built with coders of all skill levels and color-vision impaired audiences in mind. It allows creation of finely-tuned, publication-quality figures from single function calls. Visualizations include scatter plots, compositional bar plots, violin, box, and ridge plots, and more. Customization ranges from size and title adjustments to discrete-group circling and labeling, hidden data overlay upon cursor hovering via ggplotly() conversion, and many more, all with simple, discrete inputs. Color blindness friendliness is powered by legend adjustments (enlarged keys), and by allowing the use of shapes or letter-overlay in addition to the carefully selected dittoColors().
Author: Daniel Bunis [aut, cre]
Maintainer: Daniel Bunis <daniel.bunis@ucsf.edu>

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Package seqimpute updated to version 2.2.1 with previous version 2.2.0 dated 2025-01-15

Title: Imputation of Missing Data in Sequence Analysis
Description: Multiple imputation of missing data in a dataset using MICT or MICT-timing methods. The core idea of the algorithms is to fill gaps of missing data, which is the typical form of missing data in a longitudinal setting, recursively from their edges. Prediction is based on either a multinomial or random forest regression model. Covariates and time-dependent covariates can be included in the model.
Author: Kevin Emery [aut, cre], Anthony Guinchard [aut], Andre Berchtold [aut], Kamyar Taher [aut]
Maintainer: Kevin Emery <kevin.emery@unige.ch>

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Package rwa updated to version 0.1.1 with previous version 0.1.0 dated 2025-07-16

Title: Perform a Relative Weights Analysis
Description: Perform a Relative Weights Analysis (RWA) (a.k.a. Key Drivers Analysis) as per the method described in Tonidandel & LeBreton (2015) <DOI:10.1007/s10869-014-9351-z>, with its original roots in Johnson (2000) <DOI:10.1207/S15327906MBR3501_1>. In essence, RWA decomposes the total variance predicted in a regression model into weights that accurately reflect the proportional contribution of the predictor variables, which addresses the issue of multi-collinearity. In typical scenarios, RWA returns similar results to Shapley regression, but with a significant advantage on computational performance.
Author: Martin Chan [aut, cre]
Maintainer: Martin Chan <martinchan53@gmail.com>

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Package rbc updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-06

Title: Regression by Composition
Description: Flexible statistical modelling using a modular framework for regression, in which groups of transformations are composed together and act on probability distributions.
Author: Daniel Farewell [aut, cre, cph] , Simon Schoenbuchner [ctb]
Maintainer: Daniel Farewell <farewelld@cardiff.ac.uk>

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Package btb updated to version 0.2.2 with previous version 0.2.1 dated 2025-03-17

Title: Beyond the Border - Kernel Density Estimation for Urban Geography
Description: The kernelSmoothing() function allows you to square and smooth geolocated data. It calculates a classical kernel smoothing (conservative) or a geographically weighted median. There are four major call modes of the function. The first call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth) for a classical kernel smoothing and automatic grid. The second call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles) for a geographically weighted median and automatic grid. The third call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, centroids) for a classical kernel smoothing and user grid. The fourth call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles, centroids) for a geographically weighted median and user grid. Geographically weighted summary statistics : a framework for localised exploratory data analysis, C.Brunsdon & al., in Computers, Environment and Urban Systems C.Brunsdon & al. (2002) <doi:10.1016/S0198-9715(01)00009-6>, S [...truncated...]
Author: Arlindo Dos Santos [aut], Francois Semecurbe [aut], Julien Pramil [aut], Solene Colin [cre, ctb], Kim Antunez [ctb], Auriane Renaud [ctb], Farida Marouchi [ctb], Joachim Timoteo [ctb], Institut national de la statistique et des etudes economiques [cp [...truncated...]
Maintainer: Solene Colin <solene.colin@insee.fr>

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Package SLGP updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-05

Title: Spatial Logistic Gaussian Process for Field Density Estimation
Description: Provides tools for conditional and spatially dependent density estimation using Spatial Logistic Gaussian Processes (SLGPs). The approach represents probability densities through finite-rank Gaussian process priors transformed via a spatial logistic density transformation, enabling flexible non-parametric modeling of heterogeneous data. Functionality includes density prediction, quantile and moment estimation, sampling methods, and preprocessing routines for basis functions. Applications arise in spatial statistics, machine learning, and uncertainty quantification. The methodology builds on the framework of Leonard (1978) <doi:10.1111/j.2517-6161.1978.tb01655.x>, Lenk (1988) <doi:10.1080/01621459.1988.10478625>, Tokdar (2007) <doi:10.1198/106186007X210206>, Tokdar (2010) <doi:10.1214/10-BA605>, and is further aligned with recent developments in Bayesian non-parametric modelling: see Gautier (2023) <https://boristheses.unibe.ch/4377/>, and Gautier (2025) &l [...truncated...]
Author: Athenais Gautier [aut, cre]
Maintainer: Athenais Gautier <athenais.gautier@onera.fr>

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Package drawsample updated to version 1.0.2 with previous version 1.0.1 dated 2022-09-05

Title: Draw Samples with the Desired Properties from a Data Set
Description: A tool to sample data with the desired properties.Samples can be drawn by purposive sampling with determining distributional conditions, such as deviation from normality (skewness and kurtosis), and sample size in quantitative research studies. For purposive sampling, a researcher has something in mind and participants that fit the purpose of the study are included (Etikan,Musa, & Alkassim, 2015) <doi:10.11648/j.ajtas.20160501.11>.Purposive sampling can be useful for answering many research questions (Klar & Leeper, 2019) <doi:10.1002/9781119083771.ch21>.
Author: Kubra Atalay Kabasakal [aut, cre] , Huseyin Yildiz [ctb]
Maintainer: Kubra Atalay Kabasakal <katalay@hacettepe.edu.tr>

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Package cpp11 updated to version 0.5.3 with previous version 0.5.2-2 dated 2026-01-06

Title: A C++11 Interface for R's C Interface
Description: Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Author: Davis Vaughan [aut, cre] , Jim Hester [aut] , Romain Francois [aut] , Benjamin Kietzman [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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