Mon, 08 Sep 2025

New package fastbioclim with initial version 0.2.1
Package: fastbioclim
Title: Scalable and Efficient Derivation of Bioclimatic Variables
Version: 0.2.1
Maintainer: Gonzalo E. Pinilla-Buitrago <gepinillab@gmail.com>
Description: Provides a high-performance framework for deriving bioclimatic and custom summary variables from large-scale climate raster data. The package features a dual-backend architecture that intelligently switches between fast in-memory processing for smaller datasets (via the 'terra' package) and a memory-safe tiled approach for massive datasets that do not fit in RAM (via 'exactextractr' and 'Rfast'). The main functions, 'derive_bioclim()' and 'derive_statistics()', offer a unified interface with advanced options for custom time periods and static indices, making it suitable for a wide range of ecological and environmental modeling applications. A software note is in preparation. In the meantime, you can visit the package website <https://gepinillab.github.io/fastbioclim/> to find tutorials in English and Spanish.
License: GPL (>= 3)
URL: https://gepinillab.github.io/fastbioclim/
BugReports: https://github.com/gepinillab/fastbioclim/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: exactextractr, future.apply, glue, progressr, purrr, qs, Rfast, rlang, sf, terra (>= 1.7-0)
NeedsCompilation: no
Packaged: 2025-09-02 17:37:29 UTC; gepb
Author: Gonzalo E. Pinilla-Buitrago [aut, cre] , Luis Osorio-Olvera [aut]
Repository: CRAN
Date/Publication: 2025-09-08 19:10:02 UTC

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New package fabricQueryR with initial version 0.1.1
Package: fabricQueryR
Title: Query Data in 'Microsoft Fabric'
Version: 0.1.1
Description: Query data hosted in 'Microsoft Fabric'. Provides helpers to open 'DBI' connections to 'SQL' endpoints of 'Lakehouse' and 'Data Warehouse' items; submit 'Data Analysis Expressions' ('DAX') queries to semantic model datasets in 'Microsoft Fabric' and 'Power BI'; and read 'Delta Lake' tables stored in 'OneLake' ('Azure Data Lake Storage Gen2').
License: MIT + file LICENSE
Suggests: DBI, odbc, AzureStor, jsonlite, readr, fs, arrow, testthat (>= 3.0.0)
Encoding: UTF-8
Imports: AzureAuth, dplyr, httr2, purrr, rlang, tibble, utils, cli, stringr
URL: https://github.com/kennispunttwente/fabricQueryR, https://kennispunttwente.github.io/fabricQueryR/
BugReports: https://github.com/kennispunttwente/fabricQueryR/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-09-02 18:52:02 UTC; dhrko
Author: Luka Koning [aut, cre, cph], Kennispunt Twente [fnd]
Maintainer: Luka Koning <l.koning@kennispunttwente.nl>
Repository: CRAN
Date/Publication: 2025-09-08 19:10:08 UTC

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New package DBmaps with initial version 0.1.0
Package: DBmaps
Title: A Metadata-Driven Framework for Streamlining Database Joins
Version: 0.1.0
Description: Simplifies and automates the process of exploring and merging data from relational databases. This package allows users to discover table relationships, create a map of all possible joins, and generate executable plans to merge data based on a structured metadata framework.
URL: https://github.com/akshat09867/DBmaps
BugReports: https://github.com/akshat09867/DBmaps/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), DiagrammeR
VignetteBuilder: knitr
Imports: data.table
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-03 06:25:17 UTC; akshat
Author: Akshat Maurya [aut, cre], David Shilane [aut]
Maintainer: Akshat Maurya <codingmaster902@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-08 19:20:01 UTC

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New package COINT with initial version 0.0.1
Package: COINT
Title: Unit Root Tests with Structural Breaks and Fully-Modified Estimators
Version: 0.0.1
Date: 2025-09-03
Author: Ho Tsung-wu [aut, cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>
Description: Procedures include Phillips (1995) FMVAR <doi:10.2307/2171721>, Kitamura and Phillips (1997) FMGMM <doi:10.1016/S0304-4076(97)00004-3>, and Park (1992) CCR <doi:10.2307/2951679>, and so on. Tests with 1 or 2 structural breaks include Gregory and Hansen (1996) <doi:10.1016/0304-4076(69)41685-7>, Zivot and Andrews (1992) <doi:10.2307/1391541>, and Kurozumi (2002) <doi:10.1016/S0304-4076(01)00106-3>.
Encoding: UTF-8
License: GPL (>= 2)
LazyData: TRUE
LazyLoad: yes
Depends: R (>= 3.5)
Imports: timeSeries
Suggests: cointReg, forecast, timeDate, urca, zoo
NeedsCompilation: no
Packaged: 2025-09-02 23:18:31 UTC; badal
Repository: CRAN
Date/Publication: 2025-09-08 19:10:14 UTC

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Package dacc (with last version 0.0-6) was removed from CRAN

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

2025-01-24 0.0-6
2024-09-20 0.0-5
2024-06-27 0.0-4
2024-01-09 0.0-3
2023-09-26 0.0-2
2023-09-10 0.0-1

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Package czso (with last version 0.4.2) was removed from CRAN

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

2025-06-21 0.4.2
2024-07-20 0.4.1
2024-04-03 0.3.12
2022-09-01 0.3.10
2022-03-09 0.3.9
2022-02-27 0.3.8
2021-11-09 0.3.7
2021-09-22 0.3.5
2021-03-01 0.3.4
2020-10-22 0.3.2
2020-04-07 0.2.3

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New package xtdml with initial version 0.1.5
Package: xtdml
Title: Double Machine Learning for Static Panel Models with Fixed Effects
Version: 0.1.5
Date: 2025-08-27
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>
Description: Implementation of partially linear panel regression (PLPR) models with high-dimensional confounding variables and exogenous treatment variable within the double machine learning framework. It allows the estimation of the structural parameter (treatment effect) in static panel data models with fixed effects using panel data approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: R6 (>= 2.4.1), data.table (>= 1.12.8), mlr3 (>= 0.5.0), mlr3tuning (>= 0.3.0), mlr3learners (>= 0.3.0), mlr3misc, mvtnorm, utils, clusterGeneration, readstata13, magrittr, dplyr, stats, MLmetrics, checkmate
Suggests: rpart, mlr3pipelines
NeedsCompilation: no
Packaged: 2025-09-02 16:45:19 UTC; annal
Author: Annalivia Polselli [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-08 19:00:02 UTC

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Package texor updated to version 1.6.0 with previous version 1.5.6 dated 2025-04-01

Title: Converting 'LaTeX' 'R Journal' Articles into 'RJ-web-articles'
Description: Articles in the 'R Journal' were first authored in 'LaTeX', which performs admirably for 'PDF' files but is less than ideal for modern online interfaces. The 'texor' package does all the transitional chores and conversions necessary to move to the online versions.
Author: Abhishek Ulayil [aut, cre, cph] , Heather Turner [ctb] , Christophe Dervieux [ctb] , Mitchell O'Hara-Wild [ctb] , Dianne Cook [ctb] , Yinxiang Huang [ctb]
Maintainer: Abhishek Ulayil <perricoq@outlook.com>

Diff between texor versions 1.5.6 dated 2025-04-01 and 1.6.0 dated 2025-09-08

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New package synthReturn with initial version 1.0.0
Package: synthReturn
Title: Synthetic Matching Method for Returns
Version: 1.0.0
Description: Implements the revised Synthetic Matching Algorithm of Kreitmeir, Lane, and Raschky (2025) <doi:10.2139/ssrn.3751162>, building on the original approach of Acemoglu, Johnson, Kermani, Kwak, and Mitton (2016) <doi:10.1016/j.jfineco.2015.10.001>, to estimate the cumulative treatment effect of an event on treated firms’ stock returns.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/davidkreitmeir/synthReturn
BugReports: https://github.com/davidkreitmeir/synthReturn/issues
Imports: base (>= 4.0.0), stats, utils, corpcor (>= 1.6.10), data.table, quadprog (>= 1.5), parallel, mirai
Depends: R (>= 4.0)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-02 01:30:27 UTC; david
Author: David H Kreitmeir [aut, cre], Christian Dueben [ctb]
Maintainer: David H Kreitmeir <david.kreitmeir1@monash.edu>
Repository: CRAN
Date/Publication: 2025-09-08 18:40:02 UTC

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Package statforbiology updated to version 1.0.2 with previous version 0.9.9 dated 2024-10-21

Title: Data Analyses in Agriculture and Biology
Description: Contains several tools for nonlinear regression analyses and general data analysis in biology and agriculture. Contains also datasets for practicing and teaching purposes. Supports the blog: Onofri (2024) "Fixing the bridge between biologists and statisticians" <https://www.statforbiology.com> and the book: Onofri (2024) "Experimental Methods in Agriculture" <https://www.statforbiology.com/_statbookeng/>. The blog is a collection of short articles aimed at improving the efficiency of communication between biologists and statisticians, as pointed out in Kozak (2016) <doi:10.1590/0103-9016-2015-0399>, spreading a better awareness of the potential usefulness, beauty and limitations of biostatistic.
Author: Andrea Onofri [aut, cre]
Maintainer: Andrea Onofri <andrea.onofri@unipg.it>

Diff between statforbiology versions 0.9.9 dated 2024-10-21 and 1.0.2 dated 2025-09-08

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Package RcppArmadillo updated to version 15.0.2-1 with previous version 15.0.1-1 dated 2025-09-01

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library aiming towards a good balance between speed and ease of use. It provides high-level syntax and functionality deliberately similar to Matlab. It is useful for algorithm development directly in C++, or quick conversion of research code into production environments. It provides efficient classes for vectors, matrices and cubes where dense and sparse matrices are supported. Integer, floating point and complex numbers are supported. A sophisticated expression evaluator (based on template meta-programming) automatically combines several operations to increase speed and efficiency. Dynamic evaluation automatically chooses optimal code paths based on detected matrix structures. Matrix decompositions are provided through integration with LAPACK, or one of its high performance drop-in replacements (such as 'MKL' or 'OpenBLAS'). It can automatically use 'OpenMP' multi-threading (parallelisation) to speed up computationally expensive operations [...truncated...]
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 15.0.1-1 dated 2025-09-01 and 15.0.2-1 dated 2025-09-08

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 15 files changed, 363 insertions(+), 74 deletions(-)

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New package PhoneValidator with initial version 1.0.1
Package: PhoneValidator
Language: en-US
Title: Client for 'GenderAPI.io' Phone Number Validation and Formatter API
Version: 1.0.1
Description: Provides an interface to the 'GenderAPI.io' Phone Number Validation & Formatter API (<https://www.genderapi.io>) for validating international phone numbers, detecting number type (mobile, landline, Voice over Internet Protocol (VoIP)), retrieving region and country metadata, and formatting numbers to E.164 or national format. Designed to simplify integration into R workflows for data validation, Customer Relationship Management (CRM) data cleaning, and analytics tasks. Full documentation is available at <https://www.genderapi.io/docs-phone-validation-formatter-api>.
License: MIT + file LICENSE
URL: https://github.com/GenderAPI/PhoneValidator-R
BugReports: https://github.com/GenderAPI/PhoneValidator-R/issues
Imports: httr, jsonlite
Depends: R (>= 3.5.0)
Encoding: UTF-8
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-02 10:01:45 UTC; onurozturk
Author: Onur Ozturk [aut, cre]
Maintainer: Onur Ozturk <onurozturk1980@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-08 18:40:28 UTC

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Package peramo updated to version 0.1.5 with previous version 0.1.3 dated 2023-05-31

Title: Permutation Tests for Randomization Model
Description: Perform permutation-based hypothesis testing for randomized experiments as suggested in Ludbrook & Dudley (1998) <doi:10.2307/2685470> and Ernst (2004) <doi:10.1214/088342304000000396>, introduced in Pham et al. (2022) <doi:10.1016/j.chemosphere.2022.136736>.
Author: Duy Nghia Pham [aut, cre] , Inna M. Sokolova [ths]
Maintainer: Duy Nghia Pham <nghiapham@yandex.com>

Diff between peramo versions 0.1.3 dated 2023-05-31 and 0.1.5 dated 2025-09-08

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Package pedgene updated to version 4.1 with previous version 3.9 dated 2024-04-10

Title: Gene-Level Variant Association Tests for Pedigree Data
Description: Gene-level variant association tests with disease status for pedigree data: kernel and burden association statistics.
Author: Schaid Daniel [aut], Visconti Alessia [ctb], Jason Sinnwell [aut, cre]
Maintainer: Jason Sinnwell <sinnwell.jason@mayo.edu>

Diff between pedgene versions 3.9 dated 2024-04-10 and 4.1 dated 2025-09-08

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 16 files changed, 200 insertions(+), 155 deletions(-)

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New package nev with initial version 1.0.0.0
Package: nev
Title: Draw Nested Extreme Value Random Variables
Version: 1.0.0.0
Description: Draw nested extreme value random variables, which are the variables that appear in the latent variable formulation of the nested logit model.
License: GPL (>= 3)
Encoding: UTF-8
Imports: fourierin (>= 0.2.5), pracma (>= 2.4.4), extraDistr (>= 1.10.0)
NeedsCompilation: no
Packaged: 2025-09-02 14:43:38 UTC; wtownsend
Author: Wilbur Townsend [aut, cre]
Maintainer: Wilbur Townsend <wilbur.townsend@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-08 19:00:09 UTC

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New package impectR with initial version 2.4.3
Package: impectR
Title: Access Data from the Impect API
Version: 2.4.3
Maintainer: Florian Schmitt <florian.schmitt@impect.com>
Description: Pull data from the 'Impect' Customer API <https://glossary.impect.com/api-design>. The package can retrieve data such as events or match sums.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, jsonlite, purrr, tidyr, utils, methods, tibble, rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-02 06:51:41 UTC; flo
Author: Impect GmbH [cph], Florian Schmitt [aut, cre], Thomas Walentin [ctb]
Repository: CRAN
Date/Publication: 2025-09-08 18:40:17 UTC

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New package icdpicr2 with initial version 2.1.0
Package: icdpicr2
Title: Categorize Injury Diagnosis Codes
Version: 2.1.0
Description: Functions read a dataframe containing one or more International Classification of Diseases Tenth Revision codes per subject. They return original data with injury categorizations and severity scores added.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: dplyr, stringr, tidyr
NeedsCompilation: no
Packaged: 2025-09-02 11:21:06 UTC; davideugeneclark
Author: David Clark [aut, cre], Adam Black [aut]
Maintainer: David Clark <david.clark@tufts.edu>
Repository: CRAN
Date/Publication: 2025-09-08 18:40:23 UTC

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Package greenR updated to version 0.0.1.4 with previous version 0.0.1.3 dated 2025-06-12

Title: Green Index Quantification, Analysis and Visualization
Description: Quantification, analysis, and visualization of urban greenness within city networks using data from 'OpenStreetMap' <https://www.openstreetmap.org>.
Author: Sachit Mahajan [aut, cre]
Maintainer: Sachit Mahajan <sachitmahajan90@gmail.com>

Diff between greenR versions 0.0.1.3 dated 2025-06-12 and 0.0.1.4 dated 2025-09-08

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Package enrichwith updated to version 0.4.0 with previous version 0.3.1 dated 2020-01-10

Title: Methods to Enrich R Objects with Extra Components
Description: Provides the "enrich" method to enrich list-like R objects with new, relevant components. The current version has methods for enriching objects of class 'family', 'link-glm', 'lm', 'glm' and 'betareg'. The resulting objects preserve their class, so all methods associated with them still apply. The package also provides the 'enriched_glm' function that has the same interface as 'glm' but results in objects of class 'enriched_glm'. In addition to the usual components in a `glm` object, 'enriched_glm' objects carry an object-specific simulate method and functions to compute the scores, the observed and expected information matrix, the first-order bias, as well as model densities, probabilities, and quantiles at arbitrary parameter values. The package can also be used to produce customizable source code templates for the structured implementation of methods to compute new components and enrich arbitrary objects.
Author: Ioannis Kosmidis [aut, cre]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

Diff between enrichwith versions 0.3.1 dated 2020-01-10 and 0.4.0 dated 2025-09-08

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Package ecostate updated to version 0.3.0 with previous version 0.2.0 dated 2024-11-25

Title: State-Space Mass-Balance Model for Marine Ecosystems
Description: Fits a state-space mass-balance model for marine ecosystems, which implements dynamics derived from 'Ecopath with Ecosim' ('EwE') <https://ecopath.org/> while fitting to time-series of fishery catch, biomass indices, age-composition samples, and weight-at-age data. 'Ecostate' fits biological parameters (e.g., equilibrium mass) and measurement parameters (e.g., catchability coefficients) jointly with residual variation in process errors, and can include Bayesian priors for parameters.
Author: James T. Thorson [aut, cre]
Maintainer: James T. Thorson <James.Thorson@noaa.gov>

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New package corrselect with initial version 2.0.1
Package: corrselect
Title: Correlation-Based Variable Subset Selection
Version: 2.0.1
Description: Provides functions to extract low-correlation variable subsets using exact graph-theoretic algorithms (e.g., Eppstein–Löffler–Strash, Bron–Kerbosch) as well as greedy and spectral heuristics. Supports both numeric and mixed-type data using generalized association measures.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, methods, stats
Suggests: GO.db, WGCNA, preprocessCore, impute, energy, minerva, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://gillescolling.com/corrselect/
BugReports: https://github.com/gcol33/corrselect/issues
NeedsCompilation: yes
Packaged: 2025-09-02 13:24:27 UTC; Gilles Colling
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-08 18:50:07 UTC

More information about corrselect at CRAN
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Package bridger (with last version 0.1.0) was removed from CRAN

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

2021-08-24 0.1.0

Permanent link
Package ggedit (with last version 0.4.1) was removed from CRAN

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

2024-03-04 0.4.1
2024-02-26 0.4.0
2020-06-02 0.3.1
2018-07-03 0.3.0
2017-04-06 0.2.1
2017-03-31 0.2.0

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Package mcptools updated to version 0.1.1 with previous version 0.1.0 dated 2025-07-18

Title: Model Context Protocol Servers and Clients
Description: Implements the Model Context Protocol (MCP). Users can start 'R'-based servers, serving functions as tools for large language models to call before responding to the user in MCP-compatible apps like 'Claude Desktop' and 'Claude Code', with options to run those tools inside of interactive 'R' sessions. On the other end, when 'R' is the client via the 'ellmer' package, users can register tools from third-party MCP servers to integrate additional context into chats.
Author: Simon Couch [aut, cre] , Winston Chang [aut] , Charlie Gao [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

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Package fluxfinder updated to version 1.2.2 with previous version 1.2.1 dated 2025-09-02

Title: Parsing, Computation, and Diagnostics for Greenhouse Gas Measurements
Description: Parse static-chamber greenhouse gas measurement files generated by a variety of instruments; compute flux rates using multi-observation metadata; and generate diagnostic metrics and plots. Designed to be easy to integrate into reproducible scientific workflows.
Author: Stephanie Wilson [cre] , Ben Bond-Lamberty [aut] , Genevieve Noyce [ctb] , Roberta Bittencourt Peixoto [ctb] , Patrick Megonigal [ctb] , Smithsonian Institution [cph, fnd]
Maintainer: Stephanie Wilson <sjw22120@gmail.com>

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Package DEPONS2R updated to version 1.2.8 with previous version 1.2.6 dated 2025-01-24

Title: Read, Plot and Analyse Output from the DEPONS Model
Description: Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu> (v.3.0), for manipulating input raster files, shipping routes and for analyzing sound propagated from ships.
Author: Jacob Nabe-Nielsen [aut, cre], Caitlin K. Frankish [aut], Axelle Cordier [aut], Florian G. Weller [aut]
Maintainer: Jacob Nabe-Nielsen <jnn@ecos.au.dk>

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Package text2sdg updated to version 1.1.2 with previous version 1.1.1 dated 2023-03-17

Title: Detecting UN Sustainable Development Goals in Text
Description: The United Nations' Sustainable Development Goals (SDGs) have become an important guideline for organisations to monitor and plan their contributions to social, economic, and environmental transformations. The 'text2sdg' package is an open-source analysis package that identifies SDGs in text using scientifically developed query systems, opening up the opportunity to monitor any type of text-based data, such as scientific output or corporate publications. For more information see Meier, Mata & Wulff (2025) <doi:10.32614/RJ-2024-005> and Wulff, Meier & Mata (2024) <doi:10.1007/s11625-024-01516-3>.
Author: Dirk U. Wulff [aut] , Dominik S. Meier [aut, cre] , Rui Mata [ctb]
Maintainer: Dominik S. Meier <dominikmeier@outlook.com>

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Package magick updated to version 2.9.0 with previous version 2.8.7 dated 2025-06-06

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

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Package DiscreteDists updated to version 1.1.0 with previous version 1.0.0 dated 2024-09-13

Title: Discrete Statistical Distributions
Description: Implementation of new discrete statistical distributions. Each distribution includes the traditional functions as well as an additional function called the family function, which can be used to estimate parameters within the 'gamlss' framework.
Author: Freddy Hernandez-Barajas [aut, cre] , Fernando Marmolejo-Ramos [aut] , Olga Usuga-Manco [aut]
Maintainer: Freddy Hernandez-Barajas <fhernanb@unal.edu.co>

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Package calmr updated to version 0.8.1 with previous version 0.7.0 dated 2025-05-11

Title: Canonical Associative Learning Models and their Representations
Description: Implementations of canonical associative learning models, with tools to run experiment simulations, estimate model parameters, and compare model representations. Experiments and results are represented using S4 classes and methods.
Author: Victor Navarro [aut, cre, cph]
Maintainer: Victor Navarro <navarrov@cardiff.ac.uk>

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Package bipartite updated to version 2.22 with previous version 2.21 dated 2025-02-20

Title: Visualising Bipartite Networks and Calculating Some (Ecological) Indices
Description: Functions to visualise webs and calculate a series of indices commonly used to describe pattern in (ecological) webs. It focuses on webs consisting of only two levels (bipartite), e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the web's topology.
Author: Carsten F. Dormann [aut, cre] , Jochen Fruend [aut] , Bernd Gruber [aut] , Tobias Bauer [ctb] , Stephen Beckett [ctb] , Mariano Devoto [ctb] , Gabriel M.F. Felix [ctb] , Jose M. Iriondo [ctb] , Tore Opsahl [ctb] , Rafael B.P. Pinheiro [ctb] , Rouven [...truncated...]
Maintainer: Carsten F. Dormann <carsten.dormann@biom.uni-freiburg.de>

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Description: Provides functions to utilize a command line utility that does bulk inserts and exports from SQL Server databases.
Author: Thomas Roh [aut, cre]
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Package tailplots updated to version 0.1.1 with previous version 0.1.0 dated 2025-04-18

Title: Estimators and Plots for Gamma and Pareto Tail Detection
Description: Estimators for two functionals used to detect Gamma, Pareto or Lognormal distributions, as well as distributions exhibiting similar tail behavior, as introduced by Iwashita and Klar (2023) <doi:10.1111/stan.12316> and Klar (2024) <doi:10.1080/00031305.2024.2413081>. One of these functionals, g, originally proposed by Asmussen and Lehtomaa (2017) <doi:10.3390/risks5010010>, distinguishes between log-convex and log-concave tail behavior. Furthermore the characterization of the lognormal distribution is based on the work of Mosimann (1970) <doi:10.2307/2284599>. The package also includes methods for visualizing these estimators and their associated confidence intervals across various threshold values.
Author: Bernhard Klar [aut, cre], Lucas Iglesias [aut]
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Title: Rule-Based Conformance Checking of Business Process Event Data
Description: Check compliance of event-data from (business) processes with respect to specified rules. Rules supported are of three types: frequency (activities that should (not) happen x number of times), order (succession between activities) and exclusiveness (and and exclusive choice between activities).
Author: Gert Janssenswillen [aut, cre], Gerard van Hulzen [ctb]
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Package MuChPoint updated to version 0.6.4 with previous version 0.6.3 dated 2022-04-08

Title: Multiple Change Point
Description: Nonparametric approach to estimate the location of block boundaries (change-points) of non-overlapping blocks in a random symmetric matrix which consists of random variables whose distribution changes from block to block. BRAULT Vincent, OUADAH Sarah, SANSONNET Laure and LEVY-LEDUC Celine (2017) <doi:10.1016/j.jmva.2017.12.005>.
Author: Vincent Brault [cre, aut] , Cougoulat Glenn [ctb], Sarah Ouadah [ctb], Laure Sansonnet [ctb]
Maintainer: Vincent Brault <vincent.brault@univ-grenoble-alpes.fr>

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Package moveEZ updated to version 1.1.1 with previous version 1.1.0 dated 2025-08-22

Title: Animated Biplots
Description: Create animated biplots that enables dynamic visualisation of temporal or sequential changes in multivariate data by animating a single biplot across the levels of a time variable. It builds on objects from the 'biplotEZ' package, Lubbe S, le Roux N, Nienkemper-Swanepoel J, Ganey R, Buys R, Adams Z, Manefeldt P (2024) <doi:10.32614/CRAN.package.biplotEZ>, allowing users to create animated biplots that reveal how both samples and variables evolve over time.
Author: Raeesa Ganey [aut, cre, cph] , Johane Nienkemper-Swanepoel [aut, cph]
Maintainer: Raeesa Ganey <raeesa.ganey@wits.ac.za>

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Package luajr updated to version 0.2.0 with previous version 0.1.9 dated 2025-04-30

Title: 'LuaJIT' Scripting
Description: An interface to 'LuaJIT' <https://luajit.org>, a just-in-time compiler for the 'Lua' scripting language <https://www.lua.org>. Allows users to run 'Lua' code from 'R'.
Author: Mike Pall [aut, cph] , Lua.org, PUC-Rio [cph] , Nicholas Davies [cre, ctb, cph] , Scott Lembcke, Howling Moon Software [ctb, cph]
Maintainer: Nicholas Davies <nicholas.davies@lshtm.ac.uk>

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Package psmineR updated to version 0.1.1 with previous version 0.1.0 dated 2022-10-10

Title: Performance Spectrum Miner for Event Data
Description: Compute detailed and aggregated performance spectrum for event data. The detailed performance spectrum describes the event data in terms of segments, where the performance of each segment is measured and plotted for any occurrences of this segment over time and can be classified, e.g., regarding the overall population. The aggregated performance spectrum visualises the amount of cases of particular performance over time. Denisov, V., Fahland, D., & van der Aalst, W. M. P. (2018) <doi:10.1007/978-3-319-98648-7_9>.
Author: Greg Van Houdt [aut], Gert Janssenswillen [ctb, cre], Gerard van Hulzen [ctb]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package niarules updated to version 0.3.0 with previous version 0.2.0 dated 2025-02-20

Title: Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
Description: Framework is devoted to mining numerical association rules through the utilization of nature-inspired algorithms for optimization. Drawing inspiration from the 'NiaARM' 'Python' and the 'NiaARM' 'Julia' packages, this repository introduces the capability to perform numerical association rule mining in the R programming language. Fister Jr., Iglesias, Galvez, Del Ser, Osaba and Fister (2018) <doi:10.1007/978-3-030-03493-1_9>.
Author: Iztok Jr. Fister [aut, cre, cph] , Gerlinde Emsenhuber [aut] , Jan Hendrik Pluemer [aut]
Maintainer: Iztok Jr. Fister <iztok@iztok.space>

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Package mllrnrs updated to version 0.0.6 with previous version 0.0.5 dated 2025-03-05

Title: R6-Based ML Learners for 'mlexperiments'
Description: Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners. The package provides R6-based learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'lightgbm' <https://CRAN.R-project.org/package=lightgbm>. These can be used directly with the 'mlexperiments' R package.
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

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Package fields updated to version 17.1 with previous version 16.3.1 dated 2025-03-08

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include Gaussian spatial process prediction (known as Kriging), cubic and thin plate splines, and compactly supported covariance functions for large data sets. The spline and spatial process methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by maximum likelihood. For spatial process prediction there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. As included are fast approximations for prediction and conditional simulation for larger data sets. There are also many useful functions for plotting and working with spatial data as images. This package also con [...truncated...]
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut], Florian Gerber [aut], Matthew Iverson [aut], Rider Johnson [aut]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

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Package DistributionIV readmission to version 0.1.3 with previous version 0.1.2 dated 2025-06-27

Title: Distributional Instrumental Variable (DIV) Model
Description: Distributional instrumental variable (DIV) model for estimation of the interventional distribution of the outcome Y under a do intervention on the treatment X. Instruments, predictors and targets can be univariate or multivariate. Functionality includes estimation of the (conditional) interventional mean and quantiles, as well as sampling from the fitted (conditional) interventional distribution.
Author: Anastasiia Holovchak [aut, cre, ctb], Sorawit Saengkyongam [aut, ctb], Nicolai Meinshausen [aut, ctb], Xinwei Shen [aut, ctb]
Maintainer: Anastasiia Holovchak <anastasiia.holovchak@stat.math.ethz.ch>

This is a re-admission after prior archival of version 0.1.2 dated 2025-06-27

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Package dexisensitivity updated to version 1.0.2 with previous version 1.0.1 dated 2024-10-29

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

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Package stringr updated to version 1.5.2 with previous version 1.5.1 dated 2023-11-14

Title: Simple, Consistent Wrappers for Common String Operations
Description: A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed into the input of another.
Author: Hadley Wickham [aut, cre, cph], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between stringr versions 1.5.1 dated 2023-11-14 and 1.5.2 dated 2025-09-08

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Package MKMeans updated to version 3.4.4 with previous version 3.3 dated 2025-08-26

Title: A Modern K-Means (MKMeans) Clustering Algorithm
Description: It's a Modern K-Means clustering algorithm which works for data of any number of dimensions, has no limit with the number of clusters expected, offers both methods with and without initial cluster centers, and can start with any initial cluster centers for the method with initial cluster centers.
Author: Yarong Yang [aut, cre], Nader Ebrahimi [ctb], Yoram Rubin [ctb], Jacob Zhang [ctb]
Maintainer: Yarong Yang <Yi.YA_yaya@hotmail.com>

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Package bigalgebra updated to version 2.0.2 with previous version 2.0.0 dated 2025-08-20

Title: 'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects
Description: Provides arithmetic functions for R matrix and 'big.matrix' objects as well as functions for QR factorization, Cholesky factorization, General eigenvalue, and Singular value decomposition (SVD). A method matrix multiplication and an arithmetic method -for matrix addition, matrix difference- allows for mixed type operation -a matrix class object and a big.matrix class object- and pure type operation for two big.matrix class objects.
Author: Frederic Bertrand [cre, ctb] , Michael J. Kane [aut], Bryan Lewis [aut], John W. Emerson [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between bigalgebra versions 2.0.0 dated 2025-08-20 and 2.0.2 dated 2025-09-08

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Package shortIRT updated to version 0.1.4 with previous version 0.1.3 dated 2024-02-16

Title: Procedures Based on Item Response Theory Models for the Development of Short Test Forms
Description: Implement different Item Response Theory (IRT) based procedures for the development of static short test forms (STFs) from a test. Two main procedures are considered, specifically the typical IRT-based procedure for the development of STF, and a recently introduced procedure (Epifania, Anselmi & Robusto, 2022 <doi:10.1007/978-3-031-27781-8_7>). The procedures differ in how the most informative items are selected for the inclusion in the STF, either by considering their item information functions without considering any specific level of the latent trait (typical procedure) or by considering their informativeness with respect to specific levels of the latent trait, denoted as theta targets (the newly introduced procedure). Regarding the latter procedure, three methods are implemented for the definition of the theta targets: (i) theta targets are defined by segmenting the latent trait in equal intervals and considering the midpoint of each interval (equal interval procedure, ei [...truncated...]
Author: Ottavia M. Epifania [aut, cre], Pasquale Anselmi [ctb], Egidio Robusto [ctb]
Maintainer: Ottavia M. Epifania <ottavia.epifania@unipd.it>

Diff between shortIRT versions 0.1.3 dated 2024-02-16 and 0.1.4 dated 2025-09-08

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Package optimall updated to version 1.3.0 with previous version 1.2.0 dated 2025-07-16

Title: Allocate Samples Among Strata
Description: Functions for the design process of survey sampling, with specific tools for multi-wave and multi-phase designs. Perform optimum allocation using Neyman (1934) <doi:10.2307/2342192> or Wright (2012) <doi:10.1080/00031305.2012.733679> allocation, split strata based on quantiles or values of known variables, randomly select samples from strata, allocate sampling waves iteratively, and organize a complex survey design. Also includes a Shiny application for observing the effects of different strata splits. A paper on this package was published in the Journal of Statistical Software <doi:10.18637/jss.v114.i10>.
Author: Jasper Yang [aut, cre], Pamela Shaw [aut], Bryan Shepherd [ctb], Thomas Lumley [ctb], Gustavo Amorim [rev]
Maintainer: Jasper Yang <jbyang@uw.edu>

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Package slash updated to version 0.2.0 with previous version 0.1.0 dated 2025-04-18

Title: Path-Based Access and Manipulation of Nested Lists
Description: Allows users to list data structures using path-based navigation. Provides intuitive methods for storing, accessing, and manipulating nested data through simple path strings. Key features include strict mode validation, path existence checking, recursive operations, and automatic parent-level creation. Designed for use cases requiring organized storage of complex nested data while maintaining simple access patterns. Particularly useful for configuration management, nested settings, and any application where data naturally forms a tree-like structure.
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

Diff between slash versions 0.1.0 dated 2025-04-18 and 0.2.0 dated 2025-09-08

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Package NMAforest updated to version 0.1.1 with previous version 0.1.0 dated 2025-08-27

Title: Forest Plots for Network Meta-Analysis with Proportion for Paths and Studies
Description: Provides customized forest plots for network meta-analysis incorporating direct, indirect, and NMA effects. Includes visualizations of evidence contributions through proportion bars based on the hat matrix and evidence flow decomposition.
Author: Yanqi Zhang [aut, cre]
Maintainer: Yanqi Zhang <zyq1998@iastate.edu>

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Package multilevel updated to version 2.7.1 with previous version 2.7 dated 2022-03-07

Title: Multilevel Functions
Description: Tools used by organizational researchers for the analysis of multilevel data. Includes four broad sets of tools. First, functions for estimating within-group agreement and reliability indices. Second, functions for manipulating multilevel and longitudinal (panel) data. Third, simulations for estimating power and generating multilevel data. Fourth, miscellaneous functions for estimating reliability and performing simple calculations and data transformations.
Author: Paul Bliese [aut, cre], Gilad Chen [ctb], Patrick Downes [ctb], Donald Schepker [ctb], Jonas Lang [ctb]
Maintainer: Paul Bliese <pdbliese@gmail.com>

Diff between multilevel versions 2.7 dated 2022-03-07 and 2.7.1 dated 2025-09-08

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Package MRAM updated to version 0.2.1 with previous version 0.1.2 dated 2025-06-06

Title: Multivariate Regression Association Measure
Description: Implementations of an estimator for the multivariate regression association measure (MRAM) proposed in Shih and Chen (2025) <in revision> and its associated variable selection algorithm. The MRAM quantifies the predictability of a random vector Y from a random vector X given a random vector Z. It takes the maximum value 1 if and only if Y is almost surely a measurable function of X and Z, and the minimum value of 0 if Y is conditionally independent of X given Z. The MRAM generalizes the Kendall's tau copula correlation ratio proposed in Shih and Emura (2021) <doi:10.1016/j.jmva.2020.104708> by employing the spatial sign function. The estimator is based on the nearest neighbor method, and the associated variable selection algorithm is adapted from the feature ordering by conditional independence (FOCI) algorithm of Azadkia and Chatterjee (2021) <doi:10.1214/21-AOS2073>. For further details, see the paper Shih and Chen (2025) <in revision>.
Author: Jia-Han Shih [aut, cre], Yi-Hau Chen [aut]
Maintainer: Jia-Han Shih <jhshih@math.nsysu.edu.tw>

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Package LS2W updated to version 1.3.7 with previous version 1.3.6 dated 2022-11-01

Title: Locally Stationary Two-Dimensional Wavelet Process Estimation Scheme
Description: Estimates two-dimensional local wavelet spectra.
Author: Idris Eckley [aut, cre], Guy Nason [aut], Sarah Taylor [ctb], Matthew Nunes [ctb]
Maintainer: Idris Eckley <i.eckley@lancaster.ac.uk>

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Package Lahman updated to version 13.0-0 with previous version 12.0-0 dated 2024-09-26

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

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Package fuzzySim updated to version 4.34 with previous version 4.33 dated 2025-03-21

Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for data preparation, such as obtaining unique abbreviations of species names, defining the background region, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting among (pseudo)absences to address survey bias, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially desc [...truncated...]
Author: A. Marcia Barbosa [aut], Alba Estrada [ctb], Paul Melloy [ctb], Jose Carlos Guerrero [fnd], A. Marcia Barbosa [cre]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package fixest updated to version 0.13.2 with previous version 0.12.1 dated 2024-06-13

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://github.com/lrberge/fixest/blob/master/_DOCS/FENmlm_paper.pdf>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb], Grant McDermott [ctb] , Russell Lenth [ctb], Kyle Butts [ctb]
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

Diff between fixest versions 0.12.1 dated 2024-06-13 and 0.13.2 dated 2025-09-08

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More information about fixest at CRAN
Permanent link

Package embed updated to version 1.2.0 with previous version 1.1.5 dated 2025-01-22

Title: Extra Recipes for Encoding Predictors
Description: Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models <doi:10.48550/arXiv.1611.09477> or nonlinear models <doi:10.48550/arXiv.1604.06737> can be used. There are also functions for dimension reduction and other approaches.
Author: Emil Hvitfeldt [aut, cre] , Max Kuhn [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between embed versions 1.1.5 dated 2025-01-22 and 1.2.0 dated 2025-09-08

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More information about embed at CRAN
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Package DFA.CANCOR updated to version 0.3.9 with previous version 0.3.8 dated 2025-05-29

Title: Linear Discriminant Function and Canonical Correlation Analysis
Description: Produces SPSS- and SAS-like output for linear discriminant function analysis and canonical correlation analysis. The methods are described in Manly & Alberto (2017, ISBN:9781498728966), Rencher (2002, ISBN:0-471-41889-7), and Tabachnik & Fidell (2019, ISBN:9780134790541).
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

Diff between DFA.CANCOR versions 0.3.8 dated 2025-05-29 and 0.3.9 dated 2025-09-08

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Package rsvg updated to version 2.7.0 with previous version 2.6.2 dated 2025-03-23

Title: Render SVG Images into PDF, PNG, (Encapsulated) PostScript, or Bitmap Arrays
Description: Renders vector-based svg images into high-quality custom-size bitmap arrays using 'librsvg2'. The resulting bitmap can be written to e.g. png, jpeg or webp format. In addition, the package can convert images directly to various formats such as pdf or postscript.
Author: Jeroen Ooms [aut, cre] , Salim Brueggemann [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between rsvg versions 2.6.2 dated 2025-03-23 and 2.7.0 dated 2025-09-08

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Package robmed updated to version 1.2.2 with previous version 1.2.1 dated 2025-02-08

Title: (Robust) Mediation Analysis
Description: Perform mediation analysis via the fast-and-robust bootstrap test ROBMED (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>), as well as various other methods. Details on the implementation and code examples can be found in Alfons, Ates, and Groenen (2022b) <doi:10.18637/jss.v103.i13>. Further discussion on robust mediation analysis can be found in Alfons & Schley (2025) <doi:10.31234/osf.io/2hqdy>.
Author: Andreas Alfons [aut, cre] , Nufer Y. Ates [dtc]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

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Permanent link

Package mapview updated to version 2.11.4 with previous version 2.11.3 dated 2025-08-28

Title: Interactive Viewing of Spatial Data in R
Description: Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images and bounding boxes.
Author: Tim Appelhans [cre, aut], Florian Detsch [aut], Christoph Reudenbach [aut], Stefan Woellauer [aut], Spaska Forteva [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Kenton Russell [ctb], Michael Sumner [ctb], Jochen Darley [ctb], Pierre Roudier [ctb], [...truncated...]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package freesurferformats updated to version 1.0.0 with previous version 0.1.18 dated 2024-02-02

Title: Read and Write 'FreeSurfer' Neuroimaging File Formats
Description: Provides functions to read and write neuroimaging data in various file formats, with a focus on 'FreeSurfer' <http://freesurfer.net/> formats. This includes, but is not limited to, the following file formats: 1) MGH/MGZ format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex. 3) Annotation file format. This contains a brain surface parcellation derived from a cortical atlas. 4) Surface file forma [...truncated...]
Author: Tim Schaefer [aut, cre]
Maintainer: Tim Schaefer <ts+code@rcmd.org>

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More information about freesurferformats at CRAN
Permanent link

Package descriptio updated to version 1.5 with previous version 1.4.1 dated 2025-05-29

Title: Descriptive Statistical Analysis
Description: Description of statistical associations between variables : measures of local and global association between variables (phi, Cramér V, correlations, eta-squared, Goodman and Kruskal tau, permutation tests, etc.), multiple graphical representations of the associations between variables (using 'ggplot2') and weighted statistics.
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

Diff between descriptio versions 1.4.1 dated 2025-05-29 and 1.5 dated 2025-09-08

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More information about descriptio at CRAN
Permanent link

Sun, 07 Sep 2025

Package XDNUTS updated to version 1.6.3 with previous version 1.6.1 dated 2025-08-24

Title: Discontinuous Hamiltonian Monte Carlo with Varying Trajectory Length
Description: Hamiltonian Monte Carlo for both continuous and discontinuous posterior distributions with a customizable trajectory length termination criterion. See Nishimura et al. (2020) <doi:10.1093/biomet/asz083> for the original Discontinuous Hamiltonian Monte Carlo; Hoffman et al. (2014) <doi:10.48550/arXiv.1111.4246> and Betancourt (2016) <doi:10.48550/arXiv.1601.00225> for the definition of possible Hamiltonian Monte Carlo termination criteria.
Author: Paolo Manildo [aut, cre]
Maintainer: Paolo Manildo <paolo.manildo@phd.unipd.it>

Diff between XDNUTS versions 1.6.1 dated 2025-08-24 and 1.6.3 dated 2025-09-07

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Permanent link

Package wnl updated to version 0.8.4 with previous version 0.8.3 dated 2025-03-22

Title: Minimization Tool for Pharmacokinetic-Pharmacodynamic Data Analysis
Description: This is a set of minimization tools (maximum likelihood estimation and least square fitting) to solve examples in the Johan Gabrielsson and Dan Weiner's book "Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications" 5th ed. (ISBN:9198299107). Examples include linear and nonlinear compartmental model, turn-over model, single or multiple dosing bolus/infusion/oral models, allometry, toxicokinetics, reversible metabolism, in-vitro/in-vivo extrapolation, enterohepatic circulation, metabolite modeling, Emax model, inhibitory model, tolerance model, oscillating response model, enantiomer interaction model, effect compartment model, drug-drug interaction model, receptor occupancy model, and rebound phenomena model.
Author: Kyun-Seop Bae [aut, cre, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between wnl versions 0.8.3 dated 2025-03-22 and 0.8.4 dated 2025-09-07

 DESCRIPTION  |    6 +++---
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More information about wnl at CRAN
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Package rticulate updated to version 2.2.0 with previous version 2.0.1 dated 2025-02-20

Title: Articulatory Data Processing in R
Description: A tool for processing Articulate Assistant Advanced™ (AAA) ultrasound tongue imaging data and Carstens AG500/1 electro-magnetic articulographic data.
Author: Stefano Coretta [aut, cre]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

Diff between rticulate versions 2.0.1 dated 2025-02-20 and 2.2.0 dated 2025-09-07

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More information about rticulate at CRAN
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Package psdr updated to version 1.0.3 with previous version 1.0.1 dated 2021-06-04

Title: Use Time Series to Generate and Compare Power Spectral Density
Description: Functions that allow you to generate and compare power spectral density (PSD) plots given time series data. Fast Fourier Transform (FFT) is used to take a time series data, analyze the oscillations, and then output the frequencies of these oscillations in the time series in the form of a PSD plot.Thus given a time series, the dominant frequencies in the time series can be identified. Additional functions in this package allow the dominant frequencies of multiple groups of time series to be compared with each other. To see example usage with the main functions of this package, please visit this site: <https://yhhc2.github.io/psdr/articles/Introduction.html>. The mathematical operations used to generate the PSDs are described in these sites: <https://www.mathworks.com/help/matlab/ref/fft.html>. <https://www.mathworks.com/help/signal/ug/power-spectral-density-estimates-using-fft.html>.
Author: Yong-Han Hank Cheng [aut, cre]
Maintainer: Yong-Han Hank Cheng <yhhc@uw.edu>

Diff between psdr versions 1.0.1 dated 2021-06-04 and 1.0.3 dated 2025-09-07

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Package EZFragility updated to version 2.0.1 with previous version 1.0.3 dated 2025-04-10

Title: Compute Neural Fragility for Ictal iEEG Time Series
Description: Provides tools to compute the neural fragility matrix from intracranial electrocorticographic (iEEG) recordings, enabling the analysis of brain dynamics during seizures. The package implements the method described by Li et al. (2017) <doi:10.23919/ACC.2017.7963378> and includes functions for data preprocessing ('Epoch'), fragility computation ('calcAdjFrag'), and visualization.
Author: Jiefei Wang [aut, cre] , Patrick Karas [aut], Anne-Cecile Lesage [aut] , Ioannis Malagaris [aut] , Oliver Zhou [aut], Liliana Camarillo Rodriguez [aut] , Sean O'Leary [aut] , Yuanyi Zhang [aut]
Maintainer: Jiefei Wang <szwjf08@gmail.com>

Diff between EZFragility versions 1.0.3 dated 2025-04-10 and 2.0.1 dated 2025-09-07

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Package crosstable updated to version 0.8.2 with previous version 0.8.1 dated 2024-11-01

Title: Crosstables for Descriptive Analyses
Description: Create descriptive tables for continuous and categorical variables. Apply summary statistics and counting function, with or without a grouping variable, and create beautiful reports using 'rmarkdown' or 'officer'. You can also compute effect sizes and statistical tests if needed.
Author: Dan Chaltiel [aut, cre] , David Hajage [ccp]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>

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Package AuxSurvey updated to version 1.1 with previous version 1.0 dated 2024-12-20

Title: Survey Analysis with Auxiliary Discretized Variables
Description: Probability surveys often use auxiliary continuous data from administrative records, but the utility of this data is diminished when it is discretized for confidentiality. We provide a set of survey estimators to make full use of information from the discretized variables. See Williams, S.Z., Zou, J., Liu, Y., Si, Y., Galea, S. and Chen, Q. (2024), Improving Survey Inference Using Administrative Records Without Releasing Individual-Level Continuous Data. Statistics in Medicine, 43: 5803-5813. <doi:10.1002/sim.10270> for details.
Author: Jungang Zou [aut, cre], Yutao Liu [aut], Sharifa Williams [aut], Qixuan Chen [aut]
Maintainer: Jungang Zou <jungang.zou@gmail.com>

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Package vaccine updated to version 1.3.1 with previous version 1.3.0 dated 2025-01-07

Title: Statistical Tools for Immune Correlates Analysis of Vaccine Clinical Trial Data
Description: Various semiparametric and nonparametric statistical tools for immune correlates analysis of vaccine clinical trial data. This includes calculation of summary statistics and estimation of risk, vaccine efficacy, controlled effects (controlled risk and controlled vaccine efficacy), and mediation effects (natural direct effect, natural indirect effect, proportion mediated). See Gilbert P, Fong Y, Kenny A, and Carone, M (2022) <doi:10.1093/biostatistics/kxac024> and Fay MP and Follmann DA (2023) <doi:10.48550/arXiv.2208.06465>.
Author: Avi Kenny [aut, cre]
Maintainer: Avi Kenny <avi.kenny@gmail.com>

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Package TSCI updated to version 3.0.5 with previous version 3.0.4 dated 2023-10-09

Title: Tools for Causal Inference with Possibly Invalid Instrumental Variables
Description: Two stage curvature identification with machine learning for causal inference in settings when instrumental variable regression is not suitable because of potentially invalid instrumental variables. Based on Guo and Buehlmann (2022) "Two Stage Curvature Identification with Machine Learning: Causal Inference with Possibly Invalid Instrumental Variables" <doi:10.48550/arXiv.2203.12808>. The vignette is available in Carl, Emmenegger, Bühlmann and Guo (2025) "TSCI: Two Stage Curvature Identification for Causal Inference with Invalid Instruments in R" <doi:10.18637/jss.v114.i07>.
Author: David Carl [aut, cre] , Corinne Emmenegger [aut] , Wei Yuan [aut], Mengchu Zheng [aut], Zijian Guo [aut]
Maintainer: David Carl <david.carl@phd.unibocconi.it>

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Package QTLRel updated to version 1.15 with previous version 1.14 dated 2023-08-08

Title: Tools for Mapping of Quantitative Traits of Genetically Related Individuals and Calculating Identity Coefficients from Pedigrees
Description: This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances.
Author: Riyan Cheng [aut, cre]
Maintainer: Riyan Cheng <riyancheng@hotmail.com>

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Package NeuroDataSets updated to version 0.2.0 with previous version 0.1.0 dated 2025-05-27

Title: A Comprehensive Collection of Neuroscience and Brain-Related Datasets
Description: Offers a rich and diverse collection of datasets focused on the brain, nervous system, and related disorders. The package includes clinical, experimental, neuroimaging, behavioral, cognitive, and simulated data on conditions such as Parkinson's disease, Alzheimer's, epilepsy, schizophrenia, gliomas, and mental health. Datasets cover structural and functional brain data, neurotransmission, gene expression, cognitive performance, and treatment outcomes. Designed for researchers, neuroscientists, clinicians, psychologists, data scientists, and students, this package facilitates exploratory data analysis, statistical modeling, and hypothesis testing in neuroscience and neuroepidemiology.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package Nematode updated to version 0.2.1 with previous version 0.2.0 dated 2025-08-20

Title: Ecological Indices Calculator for Nematode Communities
Description: Provides a computational toolkit for analyzing nematode communities in ecological studies. Includes methods to quantify nematode-based ecological indicators such as metabolic footprints, energy flow metrics, and community structure. These tools support assessments of soil health, ecosystem functioning, and trophic interactions, standardizing the use of nematodes as bioindicators.
Author: Yuxuan He [aut, cre, cph] , Dong Wang [ths, cph]
Maintainer: Yuxuan He <heyuxuan@henu.edu.cn>

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Package mpactr updated to version 0.3.0 with previous version 0.2.1 dated 2025-03-28

Title: Correction of Preprocessed MS Data
Description: An 'R' implementation of the 'python' program Metabolomics Peak Analysis Computational Tool ('MPACT') (Robert M. Samples, Sara P. Puckett, and Marcy J. Balunas (2023) <doi:10.1021/acs.analchem.2c04632>). Filters in the package serve to address common errors in tandem mass spectrometry preprocessing, including: (1) isotopic patterns that are incorrectly split during preprocessing, (2) features present in solvent blanks due to carryover between samples, (3) features whose abundance is greater than user-defined abundance threshold in a specific group of samples, for example media blanks, (4) ions that are inconsistent between technical replicates, and (5) in-source fragment ions created during ionization before fragmentation in the tandem mass spectrometry workflow.
Author: Allison Mason [aut] , Gregory Johnson [aut] , Patrick Schloss [aut, cre, cph]
Maintainer: Patrick Schloss <pschloss@umich.edu>

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Package midr readmission to version 0.5.2 with previous version 0.5.1 dated 2025-08-27

Title: Learning from Black-Box Models by Maximum Interpretation Decomposition
Description: The goal of 'midr' is to provide a model-agnostic method for interpreting and explaining black-box predictive models by creating a globally interpretable surrogate model. The package implements 'Maximum Interpretation Decomposition' (MID), a functional decomposition technique that finds an optimal additive approximation of the original model. This approximation is achieved by minimizing the squared error between the predictions of the black-box model and the surrogate model. The theoretical foundations of MID are described in Iwasawa & Matsumori (2025) [Forthcoming], and the package itself is detailed in Asashiba et al. (2025) <doi:10.48550/arXiv.2506.08338>.
Author: Ryoichi Asashiba [aut, cre], Hirokazu Iwasawa [aut], Reiji Kozuma [ctb]
Maintainer: Ryoichi Asashiba <ryoichi.asashiba@gmail.com>

This is a re-admission after prior archival of version 0.5.1 dated 2025-08-27

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Package liver updated to version 1.21 with previous version 1.20 dated 2025-08-21

Title: Foundations Toolkit and Datasets for Data Science
Description: Provides a collection of helper functions and illustrative datasets to support learning and teaching of data science with R. The package is designed as a companion to the book <https://book-data-science-r.netlify.app>, making key data science techniques accessible to individuals with minimal coding experience. Functions include tools for data partitioning, performance evaluation, and data transformations (e.g., z-score and min-max scaling). The included datasets are curated to highlight practical applications in data exploration, modeling, and multivariate analysis. An early inspiration for the package came from an ancient Persian idiom about "eating the liver," symbolizing deep and immersive engagement with knowledge.
Author: Reza Mohammadi [aut, cre] , Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package HuraultMisc updated to version 1.2.1 with previous version 1.1.1 dated 2021-09-06

Title: Guillem Hurault Functions' Library
Description: Contains various functions for data analysis, notably helpers and diagnostics for Bayesian modelling using Stan.
Author: Guillem Hurault [aut, cre]
Maintainer: Guillem Hurault <ghurault.dev@outlook.com>

Diff between HuraultMisc versions 1.1.1 dated 2021-09-06 and 1.2.1 dated 2025-09-07

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Package GenHMM1d updated to version 0.2.6 with previous version 0.2.1 dated 2025-03-13

Title: Goodness-of-Fit for Zero-Inflated Univariate Hidden Markov Models
Description: Inference, goodness-of-fit tests, and predictions for continuous and discrete univariate Hidden Markov Models (HMM), including zero-inflated distributions. The goodness-of-fit test is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Nasri et al (2020) <doi:10.1029/2019WR025122>.
Author: Bouchra R. Nasri [aut, cre, cph], Mamadou Yamar Thioub [aut, cph], Bruno N. Remillard [aut, cph]
Maintainer: Bouchra R. Nasri <bouchra.nasri@umontreal.ca>

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Package DigestiveDataSets updated to version 0.2.0 with previous version 0.1.0 dated 2025-06-03

Title: A Curated Collection of Digestive System and Gastrointestinal Disease Datasets
Description: Provides an extensive and curated collection of datasets related to the digestive system, stomach, intestines, liver, pancreas, and associated diseases. This package includes clinical trials, observational studies, experimental datasets, cohort data, and case series involving gastrointestinal disorders such as gastritis, ulcers, pancreatitis, liver cirrhosis, colon cancer, colorectal conditions, Helicobacter pylori infection, irritable bowel syndrome, intestinal infections, and post-surgical outcomes. The datasets support educational, clinical, and research applications in gastroenterology, public health, epidemiology, and biomedical sciences. Designed for researchers, clinicians, data scientists, students, and educators interested in digestive diseases, the package facilitates reproducible analysis, modeling, and hypothesis testing using real-world and historical data.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

Diff between DigestiveDataSets versions 0.1.0 dated 2025-06-03 and 0.2.0 dated 2025-09-07

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Package CompositionalRF updated to version 1.4 with previous version 1.3 dated 2025-07-10

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

Diff between CompositionalRF versions 1.3 dated 2025-07-10 and 1.4 dated 2025-09-07

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Package cocoon updated to version 0.2.1 with previous version 0.2.0 dated 2025-01-29

Title: Extract, Format, and Print Statistical Output
Description: Provides functions that format statistical output in a way that can be inserted into R Markdown documents. This is analogous to the apa_print() functions in the 'papaja' package but prints Markdown or LaTeX syntax.
Author: Jeffrey R. Stevens [aut, cre, cph]
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>

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Package bidux updated to version 0.3.1 with previous version 0.3.0 dated 2025-08-29

Title: Behavioral Insight Design: A Toolkit for Integrating Behavioral Science in UI/UX Design
Description: Provides a framework and toolkit to guide 'shiny' developers in implementing the Behavioral Insight Design (BID) framework. The package offers functions for documenting each of the five stages (Notice, Interpret, Structure, Anticipate, and Validate), along with a comprehensive concept dictionary.
Author: Jeremy Winget [aut, cre]
Maintainer: Jeremy Winget <contact@jrwinget.com>

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Package alone updated to version 0.7 with previous version 0.6 dated 2025-06-12

Title: Datasets from the Survival TV Series Alone
Description: A collection of datasets on the Alone survival TV series in tidy format. Included in the package are 4 datasets detailing the survivors, their loadouts, episode details and season information.
Author: Daniel Oehm [aut, cre], Carly Levitz [ctb]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

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Package vismeteor updated to version 2.0.0 with previous version 1.8.5 dated 2024-01-16

Title: Analysis of Visual Meteor Data
Description: Provides a suite of analytical functionalities to process and analyze visual meteor observations from the Visual Meteor Database of the International Meteor Organization <https://www.imo.net/>.
Author: Janko Richter [aut, cre]
Maintainer: Janko Richter <janko@richtej.de>

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Package rcprd updated to version 0.0.2 with previous version 0.0.1 dated 2024-11-13

Title: Extraction and Management of Clinical Practice Research Datalink Data
Description: Simplify the process of extracting and processing Clinical Practice Research Datalink (CPRD) data in order to build datasets ready for statistical analysis. This process is difficult in 'R', as the raw data is very large and cannot be read into the R workspace. 'rcprd' utilises 'RSQLite' to create 'SQLite' databases which are stored on the hard disk. These are then queried to extract the required information for a cohort of interest, and create datasets ready for statistical analysis. The processes follow closely that from the 'rEHR' package, see Springate et al., (2017) <doi:10.1371/journal.pone.0171784>.
Author: Alexander Pate [aut, cre, cph]
Maintainer: Alexander Pate <alexander.pate@manchester.ac.uk>

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Package overshiny updated to version 0.2.0 with previous version 0.1.1 dated 2025-08-28

Title: Interactive Overlays on 'shiny' Plots
Description: Provides rectangular elements that can be dragged and resized over plots in 'shiny' apps. This may be useful in applications where users need to mark regions on the plot for further input or processing.
Author: Nick Davies [aut, cre, cph]
Maintainer: Nick Davies <nicholas.davies@lshtm.ac.uk>

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Package multilevelTools updated to version 0.2.1 with previous version 0.2.0 dated 2025-04-13

Title: Multilevel and Mixed Effects Model Diagnostics and Effect Sizes
Description: Effect sizes, diagnostics and performance metrics for multilevel and mixed effects models. Includes marginal and conditional 'R2' estimates for linear mixed effects models based on Johnson (2014) <doi:10.1111/2041-210X.12225>.
Author: Joshua F. Wiley [aut, cre]
Maintainer: Joshua F. Wiley <jwiley.psych@gmail.com>

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Package midr (with last version 0.5.1) was removed from CRAN

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

2025-08-27 0.5.1
2025-06-23 0.5.0

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Package translate.logit updated to version 1.0.2 with previous version 1.0 dated 2023-02-23

Title: Translation of Logit Regression Coefficients into Percentages
Description: Translation of logit models coefficients into percentages, following Deauvieau (2010) <doi:10.1177/0759106309352586>.
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

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Package seqhandbook updated to version 0.1.2 with previous version 0.1.1 dated 2023-04-02

Title: Miscellaneous Tools for Sequence Analysis
Description: It provides miscellaneous sequence analysis functions for describing episodes in individual sequences, measuring association between domains in multidimensional sequence analysis (see Piccarreta (2017) <doi:10.1177/0049124115591013>), heat maps of sequence data, Globally Interdependent Multidimensional Sequence Analysis (see Robette et al (2015) <doi:10.1177/0081175015570976>), smoothing sequences for index plots (see Piccarreta (2012) <doi:10.1177/0049124112452394>), coding sequences for Qualitative Harmonic Analysis (see Deville (1982)), measuring stress from multidimensional scaling factors (see Piccarreta and Lior (2010) <doi:10.1111/j.1467-985X.2009.00606.x>), symmetrical (or canonical) Partial Least Squares (see Bry (1996)).
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

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Package PulmoDataSets updated to version 0.2.0 with previous version 0.1.0 dated 2025-06-03

Title: A Curated Collection of Pulmonary and Respiratory Disease Datasets
Description: Provides a comprehensive and curated collection of datasets related to the lungs, respiratory system, and associated diseases. This package includes epidemiological, clinical, experimental, and simulated datasets on conditions such as lung cancer, asthma, Chronic Obstructive Pulmonary Disease (COPD), tuberculosis, whooping cough, pneumonia, influenza, and other respiratory illnesses. It is designed to support data exploration, statistical modeling, teaching, and research in pulmonary medicine, public health, environmental epidemiology, and respiratory disease surveillance.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package pmxcode updated to version 0.3.1 with previous version 0.3.0 dated 2025-04-12

Title: Create Pharmacometric Models
Description: Provides a user interface to create or modify pharmacometric models for various modeling and simulation software platforms.
Author: Sebastien Bihorel [cre, aut]
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>

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Package PAFit updated to version 1.2.11 with previous version 1.2.10 dated 2024-03-28

Title: Generative Mechanism Estimation in Temporal Complex Networks
Description: Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided. Thong Pham et al. (2015) <doi:10.1371/journal.pone.0137796>. Thong Pham et al. (2016) <doi:10.1038/srep32558>. Thong Pham et al. (2020) <doi:10.18637/jss.v092.i03>. Thong Pham et al. (2021) <doi:10.1093/comnet/cnab024>.
Author: Thong Pham [aut, cre], Paul Sheridan [aut], Hidetoshi Shimodaira [aut]
Maintainer: Thong Pham <thongphamthe@gmail.com>

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Package implicitMeasures (with last version 0.3.1) was removed from CRAN

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

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2025-07-10 0.3.0
2022-02-16 0.2.1
2020-07-27 0.2.0
2020-05-28 0.1.3
2020-04-05 0.1.2
2020-02-28 0.1.1
2019-08-20 0.1.0

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Sat, 06 Sep 2025

Package sidra updated to version 0.1.9 with previous version 0.1.7 dated 2025-08-27

Title: Acesso aos Dados do 'SIDRA' do IBGE
Description: Functions for accessing and manipulating data from Brazilian Institute of Geography and Statistics (IBGE)'s API 'SIDRA' (acronym for IBGE System of Automatic Retrieval) from the new endpoints at <https://servicodados.ibge.gov.br/api/docs/agregados?versao=3>. Ferramentas para acessar e manipular dados via API do Sistema IBGE De Recuperação Automática 'SIDRA' do Instituto Brasileiro de Geografia e Estatística (IBGE).
Author: Rodrigo Emmanuel Santana Borges [cre, aut, cph]
Maintainer: Rodrigo Emmanuel Santana Borges <rodrigo@borges.net.br>

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Package tranSurv (with last version 1.2.3) was removed from CRAN

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Package truncSP (with last version 1.2.2) was removed from CRAN

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

2014-05-05 1.2.2
2013-11-20 1.2.1
2013-05-13 1.2
2011-09-07 1.1
2011-06-04 1.0

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Package VCA updated to version 1.5.2 with previous version 1.5.1 dated 2024-03-07

Title: Variance Component Analysis
Description: ANOVA and REML estimation of linear mixed models is implemented, once following Searle et al. (1991, ANOVA for unbalanced data), once making use of the 'lme4' package. The primary objective of this package is to perform a variance component analysis (VCA) according to CLSI EP05-A3 guideline "Evaluation of Precision of Quantitative Measurement Procedures" (2014). There are plotting methods for visualization of an experimental design, plotting random effects and residuals. For ANOVA type estimation two methods for computing ANOVA mean squares are implemented (SWEEP and quadratic forms). The covariance matrix of variance components can be derived, which is used in estimating confidence intervals. Linear hypotheses of fixed effects and LS means can be computed. LS means can be computed at specific values of covariables and with custom weighting schemes for factor variables. See ?VCA for a more comprehensive description of the features.
Author: Andre Schuetzenmeister [aut, cre] , Florian Dufey [aut]
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>

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Package usethis updated to version 3.2.1 with previous version 3.2.0 dated 2025-08-27

Title: Automate Package and Project Setup
Description: Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.
Author: Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , Malcolm Barrett [aut] , Andy Teucher [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Package trade updated to version 0.8.3 with previous version 0.8.1 dated 2022-08-24

Title: Tools for Trade Practitioners
Description: A collection of tools for trade practitioners, including the ability to calibrate different consumer demand systems and simulate the effects of tariffs and quotas under different competitive regimes. These tools are derived from Anderson et al. (2001) <doi:10.1016/S0047-2727(00)00085-2> and Froeb et al. (2003) <doi:10.1016/S0304-4076(02)00166-5>.
Author: Charles Taragin [aut, cre]
Maintainer: Charles Taragin <ctaragin+trader@gmail.com>

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Package TidyDensity updated to version 1.5.2 with previous version 1.5.1 dated 2025-07-23

Title: Functions for Tidy Analysis and Generation of Random Data
Description: To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package tfrmt updated to version 0.2.0 with previous version 0.1.3 dated 2024-10-15

Title: Applies Display Metadata to Analysis Results Datasets
Description: Creates a framework to store and apply display metadata to Analysis Results Datasets (ARDs). The use of 'tfrmt' allows users to define table format and styling without the data, and later apply the format to the data.
Author: Becca Krouse [aut, cre], Christina Fillmore [aut] , Ellis Hughes [aut] , Karima Ahmad [aut] , Shannon Haughton [aut], Dragoș Moldovan-Gruenfeld [aut], GlaxoSmithKline Research & Development Limited [cph, fnd], Atorus Research LLC [cph, fnd]
Maintainer: Becca Krouse <becca.z.krouse@gsk.com>

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Package spm updated to version 1.2.3 with previous version 1.2.2 dated 2022-05-06

Title: Spatial Predictive Modeling
Description: Introduction to some novel accurate hybrid methods of geostatistical and machine learning methods for spatial predictive modelling. It contains two commonly used geostatistical methods, two machine learning methods, four hybrid methods and two averaging methods. For each method, two functions are provided. One function is for assessing the predictive errors and accuracy of the method based on cross-validation. The other one is for generating spatial predictions using the method. For details please see: Li, J., Potter, A., Huang, Z., Daniell, J. J. and Heap, A. (2010) <https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/71407> Li, J., Heap, A. D., Potter, A., Huang, Z. and Daniell, J. (2011) <doi:10.1016/j.csr.2011.05.015> Li, J., Heap, A. D., Potter, A. and Daniell, J. (2011) <doi:10.1016/j.envsoft.2011.07.004> Li, J., Potter, A., Huang, Z. and Heap, A. (2012) <https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/74030>.
Author: Jin Li [aut, cre]
Maintainer: Jin Li <jinli68@gmail.com>

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Package spatialreg updated to version 1.4-2 with previous version 1.4-1 dated 2025-09-04

Title: Spatial Regression Analysis
Description: A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximu [...truncated...]
Author: Roger Bivand [cre, aut] , Gianfranco Piras [aut], Luc Anselin [ctb], Andrew Bernat [ctb], Eric Blankmeyer [ctb], Yongwan Chun [ctb], Virgilio Gomez-Rubio [ctb], Daniel Griffith [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], James LeSage [ctb], Ange [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package rice updated to version 1.4.0 with previous version 1.3.0 dated 2025-07-24

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon timescales (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]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package reclin2 updated to version 0.6.0 with previous version 0.5.0 dated 2024-02-09

Title: Record Linkage Toolkit
Description: Functions to assist in performing probabilistic record linkage and deduplication: generating pairs, comparing records, em-algorithm for estimating m- and u-probabilities (I. Fellegi & A. Sunter (1969) <doi:10.1080/01621459.1969.10501049>, T.N. Herzog, F.J. Scheuren, & W.E. Winkler (2007), "Data Quality and Record Linkage Techniques", ISBN:978-0-387-69502-0), forcing one-to-one matching. Can also be used for pre- and post-processing for machine learning methods for record linkage. Focus is on memory, CPU performance and flexibility.
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>

Diff between reclin2 versions 0.5.0 dated 2024-02-09 and 0.6.0 dated 2025-09-06

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Package pre updated to version 1.0.8 with previous version 1.0.7 dated 2024-01-12

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

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Package phylopath updated to version 1.3.1 with previous version 1.3.0 dated 2024-06-11

Title: Perform Phylogenetic Path Analysis
Description: A comprehensive and easy to use R implementation of confirmatory phylogenetic path analysis as described by Von Hardenberg and Gonzalez-Voyer (2012) <doi:10.1111/j.1558-5646.2012.01790.x>.
Author: Wouter van der Bijl [aut, cre]
Maintainer: Wouter van der Bijl <wouter@zoology.ubc.ca>

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Package pharmaverseadam updated to version 1.2.0 with previous version 1.1.0 dated 2024-10-25

Title: ADaM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Analysis Data Model (ADaM) datasets constructed using the Study Data Tabulation Model (SDTM) datasets contained in the 'pharmaversesdtm' package and the template scripts from the 'admiral' family of packages. ADaM dataset specifications are described in the CDISC ADaM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Fanny Gautier [aut, cre] , Stefan Bundfuss [aut] , Edoardo Mancini [aut] , Lina Patil [aut], Vladyslav Shuliar [aut] , Cytel Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline LLC [cph, fnd]
Maintainer: Fanny Gautier <fanny.gautier@cytel.com>

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Package misty updated to version 0.7.5 with previous version 0.7.4 dated 2025-08-18

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for (1) data handling (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statistical analysis (e.g., bootstrap confidence intervals, collinearity and resid [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

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Package mirt updated to version 1.45.1 with previous version 1.44.0 dated 2025-01-28

Title: Multidimensional Item Response Theory
Description: Analysis of discrete response data using unidimensional and multidimensional item analysis models under the Item Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). Exploratory and confirmatory item factor analysis models are estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier models are available for modeling item testlets using dimension reduction EM algorithms, while multiple group analyses and mixed effects designs are included for detecting differential item, bundle, and test functioning, and for modeling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, mixture IRT models, and zero-inflated response models are supported, as well as a wide family of probabilistic unfolding models.
Author: Phil Chalmers [aut, cre] , Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb], Lennart Schneider [ctb], David King [ctb], Chen-Wei Liu [ctb], Ogreden Oguzhan [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package JWileymisc updated to version 1.4.4 with previous version 1.4.3 dated 2025-04-13

Title: Miscellaneous Utilities and Functions
Description: Miscellaneous tools and functions, including: generate descriptive statistics tables, format output, visualize relations among variables or check distributions, and generic functions for residual and model diagnostics.
Author: Joshua F. Wiley [aut, cre]
Maintainer: Joshua F. Wiley <jwiley.psych@gmail.com>

Diff between JWileymisc versions 1.4.3 dated 2025-04-13 and 1.4.4 dated 2025-09-06

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Package deepregression updated to version 2.3.2 with previous version 2.3.1 dated 2025-09-01

Title: Fitting Deep Distributional Regression
Description: Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as proposed by Ruegamer et al. (2023) <doi:10.18637/jss.v105.i02>. Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.
Author: David Ruegamer [aut, cre], Christopher Marquardt [ctb], Laetitia Frost [ctb], Florian Pfisterer [ctb], Philipp Baumann [ctb], Chris Kolb [ctb], Lucas Kook [ctb]
Maintainer: David Ruegamer <david.ruegamer@gmail.com>

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Fri, 05 Sep 2025

Package CardioDataSets updated to version 0.2.0 with previous version 0.1.0 dated 2025-05-13

Title: A Comprehensive Collection of Cardiovascular and Heart Disease Datasets
Description: Offers a diverse collection of datasets focused on cardiovascular and heart disease research, including heart failure, myocardial infarction, aortic dissection, transplant outcomes, cardiovascular risk factors, drug efficacy, and mortality trends. Designed for researchers, clinicians, epidemiologists, and data scientists, the package features clinical, epidemiological, and simulated datasets covering a wide range of conditions and treatments such as statins, anticoagulants, and beta blockers. It supports analyses related to disease progression, treatment effects, rehospitalization, and public health outcomes across various cardiovascular patient populations.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package NMsim updated to version 0.2.5 with previous version 0.2.4 dated 2025-07-15

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating manual work and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre], Brian Reilly [ctb], Sanaya Shroff [ctb], Boris Grinshpun [ctb]
Maintainer: Philip Delff <philip@delff.dk>

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 NMsim-0.2.5/NMsim/NAMESPACE                                                                      |    1 
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 NMsim-0.2.5/NMsim/README.md                                                                      |   10 
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Package OEFPIL readmission to version 0.1.2 with previous version 0.1.1 dated 2021-11-04

Title: Optimal Estimation of Function Parameters by Iterated Linearization
Description: Package for estimating the parameters of a nonlinear function using iterated linearization via Taylor series. Method is based on Kubáček (2000) ISBN: 80-244-0093-6. The algorithm is a generalization of the procedure given in Köning, R., Wimmer, G. and Witkovský, V. (2014) <doi:10.1088/0957-0233/25/11/115001>.
Author: Stanislav Zamecnik [aut, cre], Vojtech Sindlar [aut] , Zdenka Gerslova [aut] , Gejza Wimmer [aut] , Technology Agency of the Czech Republic [fnd] , Masaryk University, a public university, ID: 00216224 [cph]
Maintainer: Stanislav Zamecnik <zamecnik@math.muni.cz>

This is a re-admission after prior archival of version 0.1.1 dated 2021-11-04

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Package gptzeror updated to version 0.0.2 with previous version 0.0.1 dated 2023-06-05

Title: Identify Text Written by Large Language Models using 'GPTZero'
Description: An R interface to the 'GPTZero' API (<https://gptzero.me/docs>). Allows users to classify text into human and computer written with probabilities. Formats the data into data frames where each sentence is an observation. Paragraph-level and document-level predictions are organized to align with the sentences.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

Diff between gptzeror versions 0.0.1 dated 2023-06-05 and 0.0.2 dated 2025-09-05

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 gptzeror-0.0.2/gptzeror/NAMESPACE                                                                         |   18 
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Package ggPMX updated to version 1.3.2 with previous version 1.3.1 dated 2025-08-27

Title: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models
Description: At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling activities in order to reduce the overall effort required for generating such plots. For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient for publication and submissions using few lines of code. This package focuses on plots recommended by ISoP <doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors' package in the 'Monolix' installation, as described at the following url <https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization>. When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required Chart Data instead of exporting it from the 'Monolix' gui.
Author: Amine Gassem [aut], Bruno Bieth [aut], Irina Baltcheva [aut], Thomas Dumortier [aut], Christian Bartels [aut], Souvik Bhattacharya [aut], Inga Ludwig [aut], Ines Paule [aut], Didier Renard [aut], Matthew Fidler [aut] , Seid Hamzic [aut], Benjamin Gui [...truncated...]
Maintainer: Aleksandr Pogodaev <alex.pogodaev@novartis.com>

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Package BrazilCrime updated to version 0.3.0 with previous version 0.2.1 dated 2024-09-14

Title: Accesses Brazilian Public Security Data from SINESP Since 2015
Description: Allows access to data from the Brazilian Public Security Information System (SINESP) by state and municipality. It should be emphasized that the package only extracts the data and facilitates its manipulation in R. Therefore, its sole purpose is to support empirical research. All data credits belong to SINESP, an integrated information platform developed and maintained by the National Secretariat of Public Security (SENASP) of the Ministry of Justice and Public Security. <https://www.gov.br/mj/pt-br/assuntos/sua-seguranca/seguranca-publica/sinesp-1>.
Author: Giovanni Vargette [aut, cre] , Igor Laltuf [aut] , Marcelo Justus [aut]
Maintainer: Giovanni Vargette <g216978@dac.unicamp.br>

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New package SLGP with initial version 1.0.0
Package: SLGP
Title: Spatial Logistic Gaussian Process for Field Density Estimation
Version: 1.0.0
Maintainer: Athenais Gautier <athenais.gautier@onera.fr>
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...]
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5.0), stats
Imports: DiceDesign, methods, mvnfast, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), GoFKernel, rstantools
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.21.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, tidyr, dplyr, ggplot2, ggpubr, viridis, MASS
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-09-01 13:38:28 UTC; agautier
Author: Athenais Gautier [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-05 20:50:02 UTC

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New package OptOTrials with initial version 1.0.2
Package: OptOTrials
Title: Optimal Two-Stage Designs for Ordered Categorical Outcomes
Version: 1.0.2
Date: 2025-08-17
Description: Functions to design and simulate optimal two-stage randomized controlled trials (RCTs) with ordered categorical outcomes, supporting rank-based tests and group-sequential decision rules. Methods build on classical and modern rank tests and two-stage/Group-Sequential designs, e.g., Park (2025) <doi: 10.1371/journal.pone.0318211>. Please see the package reference manual and vignettes for details.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats
NeedsCompilation: no
Packaged: 2025-09-01 09:24:41 UTC; ypark56
Author: Yeonhee Park [aut, cre], Yudi Wang [aut], Zhanpeng Xu [aut]
Maintainer: Yeonhee Park <yeonheepark@skku.edu>
Repository: CRAN
Date/Publication: 2025-09-05 20:40:02 UTC

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Package marquee updated to version 1.2.0 with previous version 1.1.1 dated 2025-08-27

Title: Markdown Parser and Renderer for R Graphics
Description: Provides the mean to parse and render markdown text with grid along with facilities to define the styling of the text.
Author: Thomas Lin Pedersen [aut, cre] , Martin Mitas [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between marquee versions 1.1.1 dated 2025-08-27 and 1.2.0 dated 2025-09-05

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New package LLMTranslate with initial version 0.1.3
Package: LLMTranslate
Title: 'shiny' App for TRAPD/ISPOR Survey Translation with LLMs
Version: 0.1.3
Description: A 'shiny' application to automate forward and back survey translation with optional reconciliation using large language models (LLMs). It follows the TRAPD (Translation, Review, Adjudication, Pretesting, Documentation) framework and ISPOR (International Society for Pharmacoeconomics and Outcomes Research) recommendations. See Harkness et al. (2010) <doi:10.1002/9780470609927.ch7> and Wild et al. (2005) <doi:10.1111/j.1524-4733.2005.04054.x>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: shiny
Suggests: DT, readxl, writexl, openxlsx, httr2, jsonlite, glue, later, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-01 17:28:43 UTC; A2310316
Author: Jonas R. Kunst [aut, cre]
Maintainer: Jonas R. Kunst <jonas.r.kunst@bi.no>
Repository: CRAN
Date/Publication: 2025-09-05 21:00:16 UTC

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Package evolqg updated to version 0.3-6 with previous version 0.3-4 dated 2023-12-05

Title: Evolutionary Quantitative Genetics
Description: Provides functions for covariance matrix comparisons, estimation of repeatabilities in measurements and matrices, and general evolutionary quantitative genetics tools. Melo D, Garcia G, Hubbe A, Assis A P, Marroig G. (2016) <doi:10.12688/f1000research.7082.3>.
Author: Diogo Melo [aut, cre] , Ana Paula Assis [aut], Edgar Zanella [ctb], Fabio Andrade Machado [aut] , Guilherme Garcia [aut], Alex Hubbe [rev] , Gabriel Marroig [ths]
Maintainer: Diogo Melo <diogro@gmail.com>

Diff between evolqg versions 0.3-4 dated 2023-12-05 and 0.3-6 dated 2025-09-05

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New package causalnet with initial version 0.1.0
Package: causalnet
Title: Directed Causal Network Enumeration and Simulation
Version: 0.1.0
Description: Enumerate orientation-consistent directed networks from an undirected or partially directed skeleton, detect feedback loops, summarize topology, and simulate node dynamics via stochastic differential equations.
License: GPL-3
URL: https://github.com/KyuriP/causalnet
BugReports: https://github.com/KyuriP/causalnet/issues
Encoding: UTF-8
VignetteBuilder: knitr
Imports: stats, ggplot2, tidyr, scales, cowplot
Suggests: testthat (>= 3.0.0), dplyr, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-09-01 16:03:58 UTC; Kyuri1
Author: Kyuri Park [aut, cre]
Maintainer: Kyuri Park <kyurheep@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-05 21:00:10 UTC

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Package Spower updated to version 0.4.0 with previous version 0.3.1 dated 2025-07-17

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

Diff between Spower versions 0.3.1 dated 2025-07-17 and 0.4.0 dated 2025-09-05

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Package SensIAT updated to version 0.3.0 with previous version 0.2.0 dated 2025-08-18

Title: Sensitivity Analysis for Irregular Assessment Times
Description: Sensitivity analysis for trials with irregular and informative assessment times, based on a new influence function-based, augmented inverse intensity-weighted estimator.
Author: Andrew Redd [aut, cre] , Yujing Gao [aut], Shu Yang [aut], Bonnie Smith [aut], Ravi Varadhan [aut], Agatha Mallett [ctb, ctr], Daniel Scharfstein [pdr, aut] , University of Utah [cph]
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>

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Package merTools updated to version 0.6.3 with previous version 0.6.2 dated 2024-02-08

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 greenfeedr updated to version 1.3.1 with previous version 1.3.0 dated 2025-08-18

Title: Process and Report 'GreenFeed' Data
Description: Provides tools for downloading, processing, and reporting daily and finalized 'GreenFeed' data.
Author: Guillermo Martinez-Boggio [cre, aut, cph] , Meredith Harrison [ctb], Patrick Lutz [ctb]
Maintainer: Guillermo Martinez-Boggio <gmartinezboggio@ucdavis.edu>

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Package fairmetrics updated to version 1.0.5 with previous version 1.0.4 dated 2025-07-22

Title: Fairness Evaluation Metrics with Confidence Intervals for Binary Protected Attributes
Description: A collection of functions for computing fairness metrics for machine learning and statistical models, including confidence intervals for each metric. The package supports the evaluation of group-level fairness criterion commonly used in fairness research, particularly in healthcare for binary protected attributes. It is based on the overview of fairness in machine learning written by Gao et al (2024) <doi:10.48550/arXiv.2406.09307>.
Author: Jianhui Gao [aut] , Benjamin Smith [aut, cre] , Benson Chou [aut] , Jessica Gronsbell [aut]
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>

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Package shinyscholar updated to version 0.4.3 with previous version 0.4.2 dated 2025-06-01

Title: A Template for Creating Reproducible 'shiny' Applications
Description: Create a skeleton 'shiny' application with create_template() that is reproducible, can be saved and meets academic standards for attribution. Forked from 'wallace'. Code is split into modules that are loaded and linked together automatically and each call one function. Guidance pages explain modules to users and flexible logging informs them of any errors. Options enable asynchronous operations, viewing of source code, interactive maps and data tables. Use to create complex analytical applications, following best practices in open science and software development. Includes functions for automating repetitive development tasks and an example application at run_shinyscholar() that requires install.packages("shinyscholar", dependencies = TRUE). A guide to developing applications can be found on the package website.
Author: Simon E. H. Smart [aut, cre, cph], Tim Lucas [aut] , Jamie M. Kass [ctb], Gonzalo E. Pinilla-Buitrago [ctb], Andrea Paz [ctb], Bethany A. Johnson [ctb], Valentina Grisales-Betancur [ctb], Dean Attali [ctb], Matthew E. Aiello-Lammens [ctb], Cory Merow [...truncated...]
Maintainer: Simon E. H. Smart <simon.smart@cantab.net>

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Package kinesis updated to version 0.3.0 with previous version 0.2.1 dated 2025-07-15

Title: 'shiny' Applications for the 'tesselle' Packages
Description: A collection of 'shiny' applications for the 'tesselle' packages <https://www.tesselle.org/>. This package provides applications for archaeological data analysis and visualization. These mainly, but not exclusively, include applications for chronological modelling (e.g. matrix seriation, aoristic analysis) and count data analysis (e.g. diversity measures, compositional data analysis).
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package important updated to version 0.2.0 with previous version 0.0.1 dated 2025-08-20

Title: Supervised Feature Selection
Description: Interfaces for choosing important predictors in supervised regression, classification, and censored regression models. Permuted importance scores (Biecek and Burzykowski (2021) <doi:10.1201/9780429027192>) can be computed for 'tidymodels' model fits.
Author: Max Kuhn [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between important versions 0.0.1 dated 2025-08-20 and 0.2.0 dated 2025-09-05

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Package CohortGenerator updated to version 0.12.1 with previous version 0.12.0 dated 2025-07-31

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

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Package admix updated to version 2.5.1 with previous version 2.4.3 dated 2025-08-21

Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density; see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>, Patra and Sen (2016) <doi:10.1111/rssb.12148>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>. In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>). Finally, clustering of unknown [...truncated...]
Author: Xavier Milhaud [aut, cre], Pierre Vandekerkhove [ctb], Denys Pommeret [ctb], Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>

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Package vvcanvas updated to version 0.0.6 with previous version 0.0.5 dated 2025-03-31

Title: 'Canvas' LMS API Integration
Description: Allow R users to interact with the 'Canvas' Learning Management System (LMS) API (see <https://canvas.instructure.com/doc/api/all_resources.html> for details). It provides a set of functions to access and manipulate course data, assignments, grades, users, and other resources available through the 'Canvas' API.
Author: Tomer Iwan [aut, cre], Niels Smits [ctb] , VU Analytics [cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>

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Package tokenizers.bpe updated to version 0.1.4 with previous version 0.1.3 dated 2023-09-15

Title: Byte Pair Encoding Text Tokenization
Description: Unsupervised text tokenizer focused on computational efficiency. Wraps the 'YouTokenToMe' library <https://github.com/VKCOM/YouTokenToMe> which is an implementation of fast Byte Pair Encoding (BPE) <https://aclanthology.org/P16-1162/>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , VK.com [cph], Gregory Popovitch [ctb, cph] , The Abseil Authors [ctb, cph] , Ivan Belonogov [ctb, cph] )
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between tokenizers.bpe versions 0.1.3 dated 2023-09-15 and 0.1.4 dated 2025-09-05

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Package tidysdm updated to version 1.0.3 with previous version 1.0.2 dated 2025-08-22

Title: Species Distribution Models with Tidymodels
Description: Fit species distribution models (SDMs) using the 'tidymodels' framework, which provides a standardised interface to define models and process their outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial objects, models and metrics specific to SDMs, as well as a number of specialised functions to process occurrences for contemporary and palaeo datasets. The full functionalities of the package are described in Leonardi et al. (2023) <doi:10.1101/2023.07.24.550358>.
Author: Michela Leonardi [aut], Margherita Colucci [aut], Andrea Vittorio Pozzi [aut], Eleanor M.L. Scerri [aut], Ben Tupper [ctb], Andrea Manica [aut, cre]
Maintainer: Andrea Manica <am315@cam.ac.uk>

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Package SAMtool updated to version 1.8.2 with previous version 1.8.1 dated 2025-04-28

Title: Stock Assessment Methods Toolkit
Description: Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform data-rich fisheries. 'SAMtool' provides a conditioning model, assessment models of varying complexity with standardized reporting, model-based management procedures, and diagnostic tools for evaluating assessments inside closed-loop simulation.
Author: Quang Huynh [aut, cre], Tom Carruthers [aut], Adrian Hordyk [aut]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package GHRexplore updated to version 0.2.0 with previous version 0.1.1 dated 2025-07-10

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

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Package speakeasyR updated to version 0.1.7 with previous version 0.1.6 dated 2025-08-28

Title: Fast and Robust Multi-Scale Graph Clustering
Description: A graph community detection algorithm that aims to be performant on large graphs and robust, returning consistent results across runs. SpeakEasy 2 (SE2), the underlying algorithm, is described in Chris Gaiteri, David R. Connell & Faraz A. Sultan et al. (2023) <doi:10.1186/s13059-023-03062-0>. The core algorithm is written in 'C', providing speed and keeping the memory requirements low. This implementation can take advantage of multiple computing cores without increasing memory usage. SE2 can detect community structure across scales, making it a good choice for biological data, which often has hierarchical structure. Graphs can be passed to the algorithm as adjacency matrices using base 'R' matrices, the 'Matrix' library, 'igraph' graphs, or any data that can be coerced into a matrix.
Author: David Connell [aut, cre, cph] , Chris Gaiteri [cph] , Gabor Csardi [cph, ctb] , Tamas Nepusz [cph, ctb] , Szabolcs Horvat [cph, ctb] , Vincent Traag [cph, ctb] , Fabio Zanini [cph, ctb] , Daniel Noom [cph, ctb] , The igraph development team [cph] , F [...truncated...]
Maintainer: David Connell <david32@dcon.addy.io>

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Package rnndescent updated to version 0.1.8 with previous version 0.1.6 dated 2024-05-14

Title: Nearest Neighbor Descent Method for Approximate Nearest Neighbors
Description: The Nearest Neighbor Descent method for finding approximate nearest neighbors by Dong and co-workers (2010) <doi:10.1145/1963405.1963487>. Based on the 'Python' package 'PyNNDescent' <https://github.com/lmcinnes/pynndescent>.
Author: James Melville [aut, cre, cph], Vitalie Spinu [ctb], Ralf Stubner [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

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Package qqplotr updated to version 0.0.7 with previous version 0.0.6 dated 2023-01-25

Title: Quantile-Quantile Plot Extensions for 'ggplot2'
Description: Extensions of 'ggplot2' Q-Q plot functionalities.
Author: Alexandre Almeida [aut], Adam Loy [aut, cre], Heike Hofmann [aut]
Maintainer: Adam Loy <loyad01@gmail.com>

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Package odbc updated to version 1.6.3 with previous version 1.6.2 dated 2025-08-28

Title: Connect to ODBC Compatible Databases (using the DBI Interface)
Description: A DBI-compatible interface to ODBC databases.
Author: Jim Hester [aut], Hadley Wickham [aut, cre], Oliver Gjoneski [aut], Simon Couch [aut], lexicalunit [cph] , Google Inc. [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package ndi updated to version 0.2.1 with previous version 0.1.5 dated 2024-01-23

Title: Neighborhood Deprivation Indices
Description: Computes various geospatial indices of socioeconomic deprivation and disparity in the United States. Some indices are considered "spatial" because they consider the values of neighboring (i.e., adjacent) census geographies in their computation, while other indices are "aspatial" because they only consider the value within each census geography. Two types of aspatial neighborhood deprivation indices (NDI) are available: including: (1) based on Messer et al. (2006) <doi:10.1007/s11524-006-9094-x> and (2) based on Andrews et al. (2020) <doi:10.1080/17445647.2020.1750066> and Slotman et al. (2022) <doi:10.1016/j.dib.2022.108002> who use variables chosen by Roux and Mair (2010) <doi:10.1111/j.1749-6632.2009.05333.x>. Both are a decomposition of multiple demographic characteristics from the U.S. Census Bureau American Community Survey 5-year estimates (ACS-5; 2006-2010 onward). Using data from the ACS-5 (2005-2009 onward), the package can also compute indices of racia [...truncated...]
Author: Ian D. Buller [aut, cre, cph] , NCI [cph, fnd]
Maintainer: Ian D. Buller <ian.buller@alumni.emory.edu>

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Package mvgam updated to version 1.1.593 with previous version 1.1.51 dated 2025-03-14

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 MKpower updated to version 1.1 with previous version 1.0 dated 2024-09-23

Title: Power Analysis and Sample Size Calculation
Description: Power analysis and sample size calculation for Welch and Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) t-tests including Monte-Carlo simulations of empirical power and type-I-error. Power and sample size calculation for Wilcoxon rank sum and signed rank tests via Monte-Carlo simulations. Power and sample size required for the evaluation of a diagnostic test(-system) (Flahault et al. (2005), <doi:10.1016/j.jclinepi.2004.12.009>; Dobbin and Simon (2007), <doi:10.1093/biostatistics/kxj036>) as well as for a single proportion (Fleiss et al. (2003), ISBN:978-0-471-52629-2; Piegorsch (2004), <doi:10.1016/j.csda.2003.10.002>; Thulin (2014), <doi:10.1214/14-ejs909>), comparing two negative binomial rates (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>), ANCOVA (Shieh (2020), <doi:10.1007/s11336-019-09692-3>), reference ranges (Jennen-Steinmetz and Wellek (2005), <doi:10.1002/sim.2177>), multiple primary endpoints (Sozu et al. (2015), ISBN:978 [...truncated...]
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package metR updated to version 0.18.2 with previous version 0.18.1 dated 2025-05-13

Title: Tools for Easier Analysis of Meteorological Fields
Description: Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends 'ggplot2' for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

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Package hibayes updated to version 3.1.0 with previous version 3.0.3 dated 2024-02-20

Title: Individual-Level, Summary-Level and Single-Step Bayesian Regression Model
Description: A user-friendly tool to fit Bayesian regression models. It can fit 3 types of Bayesian models using individual-level, summary-level, and individual plus pedigree-level (single-step) data for both Genomic prediction/selection (GS) and Genome-Wide Association Study (GWAS), it was designed to estimate joint effects and genetic parameters for a complex trait, including: (1) fixed effects and coefficients of covariates, (2) environmental random effects, and its corresponding variance, (3) genetic variance, (4) residual variance, (5) heritability, (6) genomic estimated breeding values (GEBV) for both genotyped and non-genotyped individuals, (7) SNP effect size, (8) phenotype/genetic variance explained (PVE) for single or multiple SNPs, (9) posterior probability of association of the genomic window (WPPA), (10) posterior inclusive probability (PIP). The functions are not limited, we will keep on going in enriching it with more features. References: Lilin Yin et al. (2025) <doi:10.18637/jss [...truncated...]
Author: Lilin Yin [aut, cre, cph] , Haohao Zhang [aut, cph] , Xiaolei Liu [aut, cph]
Maintainer: Lilin Yin <ylilin@163.com>

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Package ggscidca updated to version 0.2.5 with previous version 0.2.3 dated 2024-05-19

Title: Plotting Decision Curve Analysis with Coloured Bars
Description: Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The 'ggscidca' package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) <doi:10.1016/S1470-2045(14)71116-7>.
Author: Qiang Liu [aut, cre]
Maintainer: Qiang Liu <dege857@163.com>

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Package extrasteps updated to version 0.3.0 with previous version 0.1.0 dated 2024-10-03

Title: More Miscellaneous Steps for the 'recipes' Package
Description: Contains additional miscellaneous steps for the 'recipes' package. These steps are useful, but doesn't have a good home in other 'recipes' packages or its extensions.
Author: Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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Package bsts updated to version 0.9.11 with previous version 0.9.10 dated 2024-01-17

Title: Bayesian Structural Time Series
Description: Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <DOI:10.1504/IJMMNO.2014.059942>, among many other sources.
Author: Steven L. Scott [aut, cre]
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

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Package beakr updated to version 0.4.4 with previous version 0.4.3 dated 2021-04-06

Title: A Minimalist Web Framework for R
Description: A minimalist web framework for developing application programming interfaces in R that provides a flexible framework for handling common HTTP-requests, errors, logging, and an ability to integrate any R code as server middle-ware.
Author: Hans Martin [aut], Jonathan Callahan [aut, cre]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package antitrust updated to version 0.99.29 with previous version 0.99.26 dated 2022-08-24

Title: Tools for Antitrust Practitioners
Description: A collection of tools for antitrust practitioners, including the ability to calibrate different consumer demand systems and simulate the effects of mergers under different competitive regimes.
Author: Charles Taragin [aut, cre], Michael Sandfort [aut], Shlok Goyal [ctb]
Maintainer: Charles Taragin <ctaragin+antitrustr@gmail.com>

Diff between antitrust versions 0.99.26 dated 2022-08-24 and 0.99.29 dated 2025-09-05

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More information about antitrust at CRAN
Permanent link

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

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

2021-12-10 0.1.0

Permanent link
Package rvif readmission to version 3.1 with previous version 3.0 dated 2025-07-29

Title: Collinearity Detection using Redefined Variance Inflation Factor and Graphical Methods
Description: The detection of troubling approximate collinearity in a multiple linear regression model is a classical problem in Econometrics. The objective of this package is to detect it using the variance inflation factor redefined and the scatterplot between the variance inflation factor and the coefficient of variation. For more details see Salmerón R., García C.B. and García J. (2018) <doi:10.1080/00949655.2018.1463376>, Salmerón, R., Rodríguez, A. and García C. (2020) <doi:10.1007/s00180-019-00922-x>, Salmerón, R., García, C.B, Rodríguez, A. and García, C. (2022) <doi:10.32614/RJ-2023-010>, Salmerón, R., García, C.B. and García, J. (2025) <doi:10.1007/s10614-024-10575-8> and Salmerón, R., García, C.B, García J. (2023, working paper) <doi:10.48550/arXiv.2005.02245>. You can also view the package vignette using 'browseVignettes("rvif")', the package website using 'browseURL(system.file("docs/index.html", package = "rvif"))' or version control on GitHub (<https: [...truncated...]
Author: R. Salmeron [aut, cre], C.B. Garcia [aut]
Maintainer: R. Salmeron <romansg@ugr.es>

This is a re-admission after prior archival of version 3.0 dated 2025-07-29

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Package patientProfilesVis updated to version 2.0.10 with previous version 2.0.9 dated 2024-06-18

Title: Visualization of Patient Profiles
Description: Creation of patient profile visualizations for exploration, diagnostic or monitoring purposes during a clinical trial. These static visualizations display a patient-specific overview of the evolution during the trial time frame of parameters of interest (as laboratory, ECG, vital signs), presence of adverse events, exposure to a treatment; associated with metadata patient information, as demography, concomitant medication. The visualizations can be tailored for specific domain(s) or endpoint(s) of interest. Visualizations are exported into patient profile report(s) or can be embedded in custom report(s).
Author: Laure Cougnaud [aut, cre], Margaux Faes [rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

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Package MGDrivE readmission to version 1.6.2 with previous version 1.6.0 dated 2020-10-05

Title: Mosquito Gene Drive Explorer
Description: Provides a model designed to be a reliable testbed where various gene drive interventions for mosquito-borne diseases control. It is being developed to accommodate the use of various mosquito-specific gene drive systems within a population dynamics framework that allows migration of individuals between patches in landscape. Previous work developing the population dynamics can be found in Deredec et al. (2001) <doi:10.1073/pnas.1110717108> and Hancock & Godfray (2007) <doi:10.1186/1475-2875-6-98>, and extensions to accommodate CRISPR homing dynamics in Marshall et al. (2017) <doi:10.1038/s41598-017-02744-7>.
Author: Hector Manuel Sanchez Castellanos [aut, cre], Jared Bennett [aut], Sean Wu [aut], John M. Marshall [aut]
Maintainer: Hector Manuel Sanchez Castellanos <sanchez.hmsc@berkeley.edu>

This is a re-admission after prior archival of version 1.6.0 dated 2020-10-05

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Package eeptools updated to version 1.2.7 with previous version 1.2.5 dated 2023-06-01

Title: Convenience Functions for Education Data
Description: Collection of convenience functions to make working with administrative records easier and more consistent. Includes functions to clean strings, and identify cut points. Also includes three example data sets of administrative education records for learning how to process records with errors.
Author: Jason P. Becker [ctb], Jared E. Knowles [aut, cre]
Maintainer: Jared E. Knowles <jared@civilytics.com>

Diff between eeptools versions 1.2.5 dated 2023-06-01 and 1.2.7 dated 2025-09-05

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Package ebnm updated to version 1.1-38 with previous version 1.1-2 dated 2023-10-12

Title: Solve the Empirical Bayes Normal Means Problem
Description: Provides simple, fast, and stable functions to fit the normal means model using empirical Bayes. For available models and details, see function ebnm(). Our JSS article, Willwerscheid, Carbonetto, and Stephens (2025) <doi:10.18637/jss.v114.i03>, provides a detailed introduction to the package.
Author: Jason Willwerscheid [aut], Matthew Stephens [aut], Peter Carbonetto [aut, cre], Andrew Goldstein [ctb], Yusha Liu [ctb]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>

Diff between ebnm versions 1.1-2 dated 2023-10-12 and 1.1-38 dated 2025-09-05

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More information about ebnm at CRAN
Permanent link

Package RVenn (with last version 1.1.0) was removed from CRAN

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

2019-07-18 1.1.0
2019-05-08 1.0.0

Permanent link
New package minipdf with initial version 0.2.7
Package: minipdf
Title: PDF Document Creator
Version: 0.2.7
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: PDF is a standard file format for laying out text and images in documents. At its core, these documents are sequences of objects defined in plain text. This package allows for the creation of PDF documents at a very low level without any library or graphics device dependencies.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/coolbutuseless/minipdf
Depends: R (>= 4.1.0)
Imports: glue
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-31 09:38:56 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-09-05 11:40:02 UTC

More information about minipdf at CRAN
Permanent link

New package mini007 with initial version 0.1.0
Package: mini007
Title: Lightweight Framework for Orchestrating Multi-Agent Large Language Models
Version: 0.1.0
Description: Provides tools for creating agents with persistent state using R6 classes <https://cran.r-project.org/package=R6> and the 'ellmer' package <https://cran.r-project.org/package=ellmer>. Tracks prompts, messages, and agent metadata for reproducible, multi-turn large language model sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: checkmate (>= 2.3.1), cli (>= 3.6.5), R6 (>= 2.6.1), uuid (>= 1.2.0)
Suggests: ellmer
NeedsCompilation: no
Packaged: 2025-08-31 11:16:43 UTC; mohamedelfodilihaddaden
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-05 11:40:08 UTC

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New package econtools with initial version 0.1.0
Package: econtools
Title: Enrich and Analyze Sovereign-Level Economic Data
Version: 0.1.0
Description: Provides a consistent set of functions for enriching and analyzing sovereign-level economic data. Economists, data scientists, and financial professionals can use the package to add standardized identifiers, demographic and macroeconomic indicators, and derived metrics such as gross domestic product per capita or government expenditure shares.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, curl, dplyr (>= 1.0.0), rlang, wbwdi, econid, imfweo
Suggests: testthat (>= 3.0.0)
URL: https://github.com/tidy-intelligence/r-econtools, https://tidy-intelligence.github.io/r-econtools/
BugReports: https://github.com/tidy-intelligence/r-econtools/issues
NeedsCompilation: no
Packaged: 2025-08-31 14:39:11 UTC; krise
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2025-09-05 11:40:13 UTC

More information about econtools at CRAN
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New package connector.databricks with initial version 0.1.0
Package: connector.databricks
Title: Expand 'connector' Package for 'Databricks' Tables and Volumes
Version: 0.1.0
Description: Expands the 'connector' <https://github.com/NovoNordisk-OpenSource/connector> package and provides a convenient interface for accessing and interacting with 'Databricks' <https://www.databricks.com> volumes and tables directly from R.
License: Apache License (>= 2)
URL: https://novonordisk-opensource.github.io/connector.databricks/, https://github.com/NovoNordisk-OpenSource/connector.databricks
BugReports: https://github.com/NovoNordisk-OpenSource/connector.databricks/issues
Imports: arrow, brickster (>= 0.2.7), checkmate, cli, connector (>= 1.0.0), DBI, dbplyr, dplyr, fs, hms, odbc (>= 1.4.0), purrr, R6 (>= 2.4.0), rlang, withr, zephyr
Suggests: glue, knitr, mockery (>= 0.4.4), rmarkdown, testthat (>= 3.2.3), tibble, whirl (>= 0.3.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-01 08:28:07 UTC; vlob
Author: Vladimir Obucina [aut, cre], Steffen Falgreen Larsen [aut], Aksel Thomsen [aut], Cervan Girard [aut], Oliver Lundsgaard [ctb], Skander Mulder [ctb], Novo Nordisk A/S [cph]
Maintainer: Vladimir Obucina <vlob@novonordisk.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-09-05 12:00:02 UTC

More information about connector.databricks at CRAN
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Package covid19br (with last version 1.0.0) was removed from CRAN

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

2025-08-18 1.0.0
2023-10-15 0.1.8
2023-09-05 0.1.7
2023-07-04 0.1.6
2023-05-08 0.1.5
2022-03-30 0.1.4
2021-10-24 0.1.3
2021-10-17 0.1.3
2021-10-08 0.1.2
2020-11-24 0.1.1
2020-09-29 0.1.0

Permanent link
Package zcurve updated to version 2.4.5 with previous version 2.4.4 dated 2025-08-20

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 2.4.4 dated 2025-08-20 and 2.4.5 dated 2025-09-05

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Package tidymodels updated to version 1.4.0 with previous version 1.3.0 dated 2025-02-21

Title: Easily Install and Load the 'Tidymodels' Packages
Description: The tidy modeling "verse" is a collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.
Author: Max Kuhn [aut, cre] , Hadley Wickham [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between tidymodels versions 1.3.0 dated 2025-02-21 and 1.4.0 dated 2025-09-05

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Thu, 04 Sep 2025

Package swCRTdesign updated to version 4.1 with previous version 4.0 dated 2023-08-25

Title: Stepped Wedge Cluster Randomized Trial (SW CRT) Design
Description: A set of tools for examining the design and analysis aspects of stepped wedge cluster randomized trials (SW CRT) based on a repeated cross-sectional or cohort sampling scheme (Hussey MA and Hughes JP (2007) Contemporary Clinical Trials 28:182-191).
Author: Jim Hughes [aut, cre], Navneet R. Hakhu [aut], Emily Voldal [aut], Fan Xia [aut]
Maintainer: Jim Hughes <jphughes@uw.edu>

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Package gemR updated to version 1.2.2 with previous version 1.2.1 dated 2025-06-27

Title: General Effect Modelling
Description: Two-step modeling with separation of sources of variation through analysis of variance and subsequent multivariate modeling through a range of unsupervised and supervised statistical methods. Separation can focus on removal of interfering effects or isolation of effects of interest. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.
Author: Kristian Hovde Liland [aut, cre], Ellen Faergestad Mosleth [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

Diff between gemR versions 1.2.1 dated 2025-06-27 and 1.2.2 dated 2025-09-04

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Package acledR updated to version 1.0.0 with previous version 0.1.0 dated 2025-02-24

Title: Manipulate ACLED Data
Description: Tools working with data from ACLED (Armed Conflict Location and Event Data). Functions include simplified access to ACLED's API (<https://apidocs.acleddata.com/>), methods for keeping local versions of ACLED data up-to-date, and functions for common ACLED data transformations.
Author: Armed Conflict Location and Event Data ACLED [cph], Trey Billing [aut, cre], Lucas Fagliano [aut], Katayoun Kishi [ctb]
Maintainer: Trey Billing <t.billing@acleddata.com>

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Package wrappedtools updated to version 0.9.9 with previous version 0.9.8 dated 2025-07-10

Title: Useful Wrappers Around Commonly Used Functions
Description: The main functionalities of 'wrappedtools' are: adding backticks to variable names; rounding to desired precision with special case for p-values; selecting columns based on pattern and storing their position, name, and backticked name; computing and formatting of descriptive statistics (e.g. mean±SD), comparing groups and creating publication-ready tables with descriptive statistics and p-values; creating specialized plots for correlation matrices. Functions were mainly written for my own daily work or teaching, but may be of use to others as well.
Author: Andreas Busjahn [cre, aut] , Franziska Eidloth [aut], Bilal Asser [aut]
Maintainer: Andreas Busjahn <andreas@busjahn.net>

Diff between wrappedtools versions 0.9.8 dated 2025-07-10 and 0.9.9 dated 2025-09-04

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Package nettskjemar updated to version 1.0.3 with previous version 1.0.2 dated 2025-06-06

Title: Connect to the 'nettskjema.no' API of the University of Oslo
Description: Enables users to retrieve data, meta-data, and codebooks from <https://nettskjema.no/>. The data from the API is richer than from the online data portal. This package is not developed by the University of Oslo IT. Mowinckel (2021) <doi:10.5281/zenodo.4745481>.
Author: Athanasia Mo Mowinckel [aut, cre] , Trym Nohr Fjoertoft [ctb]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package simfinapi updated to version 1.0.1 with previous version 1.0.0 dated 2024-02-27

Title: Accessing 'SimFin' Data
Description: Through simfinapi, you can intuitively access the 'SimFin' Web-API (<https://www.simfin.com/>) to make 'SimFin' data easily available in R. To obtain an 'SimFin' API key (and thus to use this package), you need to register at <https://app.simfin.com/login>.
Author: Matthias Gomolka [aut, cre]
Maintainer: Matthias Gomolka <matthias.gomolka@posteo.de>

Diff between simfinapi versions 1.0.0 dated 2024-02-27 and 1.0.1 dated 2025-09-04

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Package Morpho updated to version 2.13 with previous version 2.12 dated 2023-12-06

Title: Calculations and Visualisations Related to Geometric Morphometrics
Description: A toolset for Geometric Morphometrics and mesh processing. This includes (among other stuff) mesh deformations based on reference points, permutation tests, detection of outliers, processing of sliding semi-landmarks and semi-automated surface landmark placement.
Author: Stefan Schlager [aut, cre, cph], Gregory Jefferis [ctb], Dryden Ian [cph]
Maintainer: Stefan Schlager <zarquon42@gmail.com>

Diff between Morpho versions 2.12 dated 2023-12-06 and 2.13 dated 2025-09-04

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Package grec updated to version 1.6.2 with previous version 1.6.1 dated 2025-01-23

Title: Gradient-Based Recognition of Spatial Patterns in Environmental Data
Description: Provides algorithms for detection of spatial patterns from oceanographic data using image processing methods based on Gradient Recognition.
Author: Wencheng Lau-Medrano [aut, cre]
Maintainer: Wencheng Lau-Medrano <luis.laum@gmail.com>

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Package GLMcat updated to version 1.0.0 with previous version 0.2.7 dated 2024-09-20

Title: Generalized Linear Models for Categorical Responses
Description: In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. Following the methodology proposed by Peyhardi, Trottier, and Guédon (2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R package to estimate generalized linear models implemented under the unified specification (r, F, Z). Where r represents the ratio of probabilities (reference, cumulative, adjacent, or sequential), F the cumulative cdf function for the linkage, and Z, the design matrix. The package accompanies the paper "GLMcat: An R Package for Generalized Linear Models for Categorical Responses" in the Journal of Statistical Software, Volume 114, Issue 9 (see <doi:10.18637/jss.v114.i09>).
Author: Lorena Leon [aut, cre], Jean Peyhardi [aut], Catherine Trottier [aut]
Maintainer: Lorena Leon <ylorenaleonv@gmail.com>

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Package finnts updated to version 0.6.0 with previous version 0.5.0 dated 2024-10-25

Title: Microsoft Finance Time Series Forecasting Framework
Description: Automated time series forecasting developed by Microsoft Finance. The Microsoft Finance Time Series Forecasting Framework, aka Finn, can be used to forecast any component of the income statement, balance sheet, or any other area of interest by finance. Any numerical quantity over time, Finn can be used to forecast it. While it can be applied outside of the finance domain, Finn was built to meet the needs of financial analysts to better forecast their businesses within a company, and has a lot of built in features that are specific to the needs of financial forecasters. Happy forecasting!
Author: Mike Tokic [aut, cre] , Aadharsh Kannan [aut]
Maintainer: Mike Tokic <mftokic@gmail.com>

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Package EMAS updated to version 0.2.3 with previous version 0.2.2 dated 2022-08-11

Title: Epigenome-Wide Mediation Analysis Study
Description: DNA methylation is essential for human, and environment can change the DNA methylation and affect body status. Epigenome-Wide Mediation Analysis Study (EMAS) can find potential mediator CpG sites between exposure (x) and outcome (y) in epigenome-wide. For more information on the methods we used, please see the following references: Tingley, D. (2014) <doi:10.18637/jss.v059.i05>, Turner, S. D. (2018) <doi:10.21105/joss.00731>, Rosseel, D. (2012) <doi:10.18637/jss.v048.i02>.
Author: Xiuquan Nie [aut, cph, cre], Mengyi Wang [ctb, rev]
Maintainer: Xiuquan Nie <niexiuquan1995@foxmail.com>

Diff between EMAS versions 0.2.2 dated 2022-08-11 and 0.2.3 dated 2025-09-04

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Package E2E updated to version 0.1.0 with previous version 0.0.3 dated 2025-08-26

Title: Ensemble Learning Framework for Diagnostic and Prognostic Modeling
Description: Provides a framework to build and evaluate diagnosis or prognosis models using stacking, voting, and bagging ensemble techniques with various base learners. The package also includes tools for visualization and interpretation of models. The development version of the package is available on 'GitHub' at <https://github.com/xiaojie0519/E2E>. The methods are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655> on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> on stacking.
Author: Shanjie Luan [aut, cre]
Maintainer: Shanjie Luan <Luan20050519@163.com>

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Package udpipe updated to version 0.8.12 with previous version 0.8.11 dated 2023-01-06

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <https://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>. The toolkit also contains functionalities for commonly used data manipulations on texts which are enriched with the output of the parser. Namely functionalities and algorithms for collocations, token co-occurrence, document term matrix handling, term frequency inverse document frequency calculations, information retrieval metrics (Okapi BM25), handling of multi-word expressions, keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntact [...truncated...]
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Strakova [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package tabula updated to version 3.3.2 with previous version 3.3.1 dated 2025-05-15

Title: Analysis and Visualization of Archaeological Count Data
Description: An easy way to examine archaeological count data. This package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). It allows to easily visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams, etc.
Author: Nicolas Frerebeau [aut, cre] , Matthew Peeples [ctb] , Ben Marwick [ctb] , Jean-Baptiste Fourvel [ctb] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package quarto updated to version 1.5.1 with previous version 1.5.0 dated 2025-07-28

Title: R Interface to 'Quarto' Markdown Publishing System
Description: Convert R Markdown documents and 'Jupyter' notebooks to a variety of output formats using 'Quarto'.
Author: JJ Allaire [aut] , Christophe Dervieux [cre, aut] , Posit Software, PBC [cph, fnd], Gordon Woodhull [ctb]
Maintainer: Christophe Dervieux <cderv@posit.co>

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Package KbMvtSkew updated to version 1.1.0 with previous version 1.0.2 dated 2020-03-23

Title: Khattree-Bahuguna's Univariate and Multivariate Skewness
Description: Computes Khattree-Bahuguna's univariate and multivariate skewness, principal-component-based Khattree-Bahuguna's multivariate skewness. It also provides several measures of univariate or multivariate skewnesses including, Pearson’s coefficient of skewness, Bowley’s univariate skewness and Mardia's multivariate skewness. See Khattree, R. and Bahuguna, M. (2019) <doi: 10.1007/s41060-018-0106-1>.
Author: Zhixin Lun [aut, cre] , Ravindra Khattree [aut]
Maintainer: Zhixin Lun <zhixin.lun@cuanschutz.edu>

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Package immundata updated to version 0.0.3 with previous version 0.0.1 dated 2025-04-08

Title: A Unified Data Layer for Large-Scale Single-Cell, Spatial and Bulk Immunomics
Description: Provides a unified data layer for single-cell, spatial and bulk T-cell and B-cell immune receptor repertoire data. Think AnnData or SeuratObject, but for AIRR data.
Author: Vadim I. Nazarov [aut, cre]
Maintainer: Vadim I. Nazarov <support@immunomind.com>

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Package CytoProfile updated to version 0.2.2 with previous version 0.2.1 dated 2025-05-19

Title: Cytokine Profiling Analysis Tool
Description: Provides comprehensive cytokine profiling analysis through quality control using biologically meaningful cutoffs on raw cytokine measurements and by testing for distributional symmetry to recommend appropriate transformations. Offers exploratory data analysis with summary statistics, enhanced boxplots, and barplots, along with univariate and multivariate analytical capabilities for in-depth cytokine profiling such as Principal Component Analysis based on Andrzej Maćkiewicz and Waldemar Ratajczak (1993) <doi:10.1016/0098-3004(93)90090-R>, Sparse Partial Least Squares Discriminant Analysis based on Lê Cao K-A, Boitard S, and Besse P (2011) <doi:10.1186/1471-2105-12-253>, Random Forest based on Breiman, L. (2001) <doi:10.1023/A:1010933404324>, and Extreme Gradient Boosting based on Tianqi Chen and Carlos Guestrin (2016) <doi:10.1145/2939672.2939785>.
Author: Shubh Saraswat [cre, aut, cph] , Xiaohua Douglas Zhang [aut]
Maintainer: Shubh Saraswat <shubh.saraswat00@gmail.com>

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Package CondMVT updated to version 0.1.1 with previous version 0.1.0 dated 2022-06-28

Title: Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants
Description: Computes conditional multivariate t probabilities, random deviates, and densities. It can also be used to create missing values at random in a dataset, resulting in a missing at random (MAR) mechanism. Inbuilt in the package are the Expectation-Maximization (EM), Monte Carlo EM, and Stochastic EM algorithms for imputation of missing values in datasets assuming the multivariate t distribution. See Kinyanjui, Tamba, Orawo, and Okenye (2020)<doi:10.3233/mas-200493>, and Kinyanjui, Tamba, and Okenye(2021)<http://www.ceser.in/ceserp/index.php/ijamas/article/view/6726/0> for more details.
Author: Paul Kinyanjui [aut, cre], Cox Tamba [aut], Justin Okenye [aut], Luke Orawo [ctb]
Maintainer: Paul Kinyanjui <kinyanjui.access@gmail.com>

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Package transDA updated to version 1.0.2 with previous version 1.0.1 dated 2025-06-09

Title: Transformation Discriminant Analysis
Description: Performs transformation discrimination analysis and non-transformation discrimination analysis. It also includes functions for Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Mixture Discriminant Analysis. In the context of mixture discriminant analysis, it offers options for both common covariance matrix (common sigma) and individual covariance matrices (uncommon sigma) for the mixture components.
Author: Jing Li [aut, cre], Yana Melnykov [aut]
Maintainer: Jing Li <jli178@crimson.ua.edu>

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 man/summary.tda.Rd     |    2 +-
 man/tda.Rd             |   10 +++++-----
 man/transDA-package.Rd |    9 ++++-----
 8 files changed, 27 insertions(+), 28 deletions(-)

More information about transDA at CRAN
Permanent link

New package ricci with initial version 0.1.1
Package: ricci
Title: Ricci Calculus
Version: 0.1.1
Description: Provides a compact 'R' interface for performing tensor calculations. This is achieved by allowing (upper and lower) index labeling of arrays and making use of Ricci calculus conventions to implicitly trigger contractions and diagonal subsetting. Explicit tensor operations, such as addition, subtraction and multiplication of tensors via the standard operators, raising and lowering indices, taking symmetric or antisymmetric tensor parts, as well as the Kronecker product are available. Common tensors like the Kronecker delta, Levi Civita epsilon, certain metric tensors, the Christoffel symbols, the Riemann as well as Ricci tensors are provided. The covariant derivative of tensor fields with respect to any metric tensor can be evaluated. An effort was made to provide the user with useful error messages.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, Ryacas, testthat (>= 3.0.0), waldo
Imports: calculus, cli, rlang
Depends: R (>= 4.1.0)
URL: https://github.com/lschneiderbauer/ricci, https://lschneiderbauer.github.io/ricci/
BugReports: https://github.com/lschneiderbauer/ricci/issues
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-08-30 15:28:10 UTC; lukas
Author: Lukas Schneiderbauer [aut, cre, cph]
Maintainer: Lukas Schneiderbauer <lukas.schneiderbauer@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-04 14:20:02 UTC

More information about ricci at CRAN
Permanent link

Package rgbif updated to version 3.8.3 with previous version 3.8.2 dated 2025-06-12

Title: Interface to the Global Biodiversity Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/developer/summary>). GBIF is a database of species occurrence records from sources all over the globe. rgbif includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the GBIF tile map service to make rasters summarizing huge amounts of data.
Author: Scott Chamberlain [aut] , Damiano Oldoni [aut] , Vijay Barve [ctb] , Peter Desmet [ctb] , Laurens Geffert [ctb], Dan Mcglinn [ctb] , Karthik Ram [ctb] , rOpenSci [fnd] , John Waller [aut, cre]
Maintainer: John Waller <jwaller@gbif.org>

Diff between rgbif versions 3.8.2 dated 2025-06-12 and 3.8.3 dated 2025-09-04

 rgbif-3.8.2/rgbif/tests/fixtures/name_parse.yml                               |only
 rgbif-3.8.3/rgbif/DESCRIPTION                                                 |    8 
 rgbif-3.8.3/rgbif/MD5                                                         |  492 
 rgbif-3.8.3/rgbif/NAMESPACE                                                   |   13 
 rgbif-3.8.3/rgbif/NEWS.md                                                     |   12 
 rgbif-3.8.3/rgbif/R/collection_search.R                                       |only
 rgbif-3.8.3/rgbif/R/dataset.R                                                 |    4 
 rgbif-3.8.3/rgbif/R/dataset_doi.R                                             |    5 
 rgbif-3.8.3/rgbif/R/dataset_list_funs.R                                       |    4 
 rgbif-3.8.3/rgbif/R/dataset_search.r                                          |   22 
 rgbif-3.8.3/rgbif/R/dataset_suggest.r                                         |    2 
 rgbif-3.8.3/rgbif/R/dataset_uuid_funs.R                                       |   22 
 rgbif-3.8.3/rgbif/R/datasets.r                                                |    2 
 rgbif-3.8.3/rgbif/R/derived_dataset.R                                         |    4 
 rgbif-3.8.3/rgbif/R/elevation.r                                               |    2 
 rgbif-3.8.3/rgbif/R/enumeration.R                                             |   70 
 rgbif-3.8.3/rgbif/R/gbif_geocode.R                                            |    6 
 rgbif-3.8.3/rgbif/R/installation_search.R                                     |only
 rgbif-3.8.3/rgbif/R/installation_uuid_funs.R                                  |only
 rgbif-3.8.3/rgbif/R/installations.r                                           |  144 
 rgbif-3.8.3/rgbif/R/institution_search.R                                      |only
 rgbif-3.8.3/rgbif/R/lit_search.R                                              |  106 
 rgbif-3.8.3/rgbif/R/name_backbone.r                                           |    4 
 rgbif-3.8.3/rgbif/R/name_backbone_checklist.R                                 |    4 
 rgbif-3.8.3/rgbif/R/name_lookup.r                                             |    2 
 rgbif-3.8.3/rgbif/R/name_parse.R                                              |    2 
 rgbif-3.8.3/rgbif/R/name_suggest.r                                            |    3 
 rgbif-3.8.3/rgbif/R/name_usage.r                                              |    5 
 rgbif-3.8.3/rgbif/R/network.R                                                 |    2 
 rgbif-3.8.3/rgbif/R/networks.r                                                |    2 
 rgbif-3.8.3/rgbif/R/nodes.r                                                   |  194 
 rgbif-3.8.3/rgbif/R/occ_count.r                                               |    6 
 rgbif-3.8.3/rgbif/R/occ_count_.R                                              |    2 
 rgbif-3.8.3/rgbif/R/occ_download.R                                            |    7 
 rgbif-3.8.3/rgbif/R/occ_download_cached.R                                     |    2 
 rgbif-3.8.3/rgbif/R/occ_download_cancel.R                                     |  116 
 rgbif-3.8.3/rgbif/R/occ_download_dataset_activity.R                           |   94 
 rgbif-3.8.3/rgbif/R/occ_download_datasets.R                                   |   82 
 rgbif-3.8.3/rgbif/R/occ_download_describe.R                                   |    6 
 rgbif-3.8.3/rgbif/R/occ_download_doi.R                                        |    7 
 rgbif-3.8.3/rgbif/R/occ_download_list.R                                       |  116 
 rgbif-3.8.3/rgbif/R/occ_download_meta.R                                       |    4 
 rgbif-3.8.3/rgbif/R/occ_download_sql.R                                        |    4 
 rgbif-3.8.3/rgbif/R/occ_facet.R                                               |    7 
 rgbif-3.8.3/rgbif/R/occ_get.r                                                 |   11 
 rgbif-3.8.3/rgbif/R/occ_metadata.r                                            |  112 
 rgbif-3.8.3/rgbif/R/organizations.r                                           |    7 
 rgbif-3.8.3/rgbif/R/print_gbif.R                                              |  232 
 rgbif-3.8.3/rgbif/R/zzz.r                                                     |   65 
 rgbif-3.8.3/rgbif/man/collection_search.Rd                                    |only
 rgbif-3.8.3/rgbif/man/dataset.Rd                                              |    2 
 rgbif-3.8.3/rgbif/man/dataset_doi.Rd                                          |    7 
 rgbif-3.8.3/rgbif/man/dataset_list_funs.Rd                                    |    4 
 rgbif-3.8.3/rgbif/man/dataset_search.Rd                                       |   14 
 rgbif-3.8.3/rgbif/man/dataset_uuid_funs.Rd                                    |   37 
 rgbif-3.8.3/rgbif/man/datasets.Rd                                             |    2 
 rgbif-3.8.3/rgbif/man/derived_dataset.Rd                                      |    4 
 rgbif-3.8.3/rgbif/man/elevation.Rd                                            |    2 
 rgbif-3.8.3/rgbif/man/enumeration.Rd                                          |    4 
 rgbif-3.8.3/rgbif/man/gbif_geocode.Rd                                         |    8 
 rgbif-3.8.3/rgbif/man/installation_search.Rd                                  |only
 rgbif-3.8.3/rgbif/man/installation_uuid_funs.Rd                               |only
 rgbif-3.8.3/rgbif/man/installations.Rd                                        |    2 
 rgbif-3.8.3/rgbif/man/institution_search.Rd                                   |only
 rgbif-3.8.3/rgbif/man/lit_search.Rd                                           |   31 
 rgbif-3.8.3/rgbif/man/name_backbone.Rd                                        |    4 
 rgbif-3.8.3/rgbif/man/name_backbone_checklist.Rd                              |    2 
 rgbif-3.8.3/rgbif/man/name_lookup.Rd                                          |    2 
 rgbif-3.8.3/rgbif/man/name_parse.Rd                                           |    2 
 rgbif-3.8.3/rgbif/man/name_suggest.Rd                                         |    2 
 rgbif-3.8.3/rgbif/man/name_usage.Rd                                           |    2 
 rgbif-3.8.3/rgbif/man/network.Rd                                              |    2 
 rgbif-3.8.3/rgbif/man/networks.Rd                                             |    2 
 rgbif-3.8.3/rgbif/man/nodes.Rd                                                |    2 
 rgbif-3.8.3/rgbif/man/occ_count.Rd                                            |    2 
 rgbif-3.8.3/rgbif/man/occ_count_.Rd                                           |    2 
 rgbif-3.8.3/rgbif/man/occ_download.Rd                                         |    4 
 rgbif-3.8.3/rgbif/man/occ_download_cached.Rd                                  |    2 
 rgbif-3.8.3/rgbif/man/occ_download_cancel.Rd                                  |    9 
 rgbif-3.8.3/rgbif/man/occ_download_dataset_activity.Rd                        |    2 
 rgbif-3.8.3/rgbif/man/occ_download_datasets.Rd                                |    7 
 rgbif-3.8.3/rgbif/man/occ_download_describe.Rd                                |    5 
 rgbif-3.8.3/rgbif/man/occ_download_doi.Rd                                     |    4 
 rgbif-3.8.3/rgbif/man/occ_download_list.Rd                                    |    2 
 rgbif-3.8.3/rgbif/man/occ_download_meta.Rd                                    |    2 
 rgbif-3.8.3/rgbif/man/occ_download_sql.Rd                                     |    4 
 rgbif-3.8.3/rgbif/man/occ_facet.Rd                                            |    2 
 rgbif-3.8.3/rgbif/man/occ_get.Rd                                              |    4 
 rgbif-3.8.3/rgbif/man/occ_metadata.Rd                                         |    2 
 rgbif-3.8.3/rgbif/man/organizations.Rd                                        |    5 
 rgbif-3.8.3/rgbif/tests/fixtures/collection_search.yml                        |only
 rgbif-3.8.3/rgbif/tests/fixtures/dataset.yml                                  | 1838 
 rgbif-3.8.3/rgbif/tests/fixtures/dataset_doi.yml                              |   21 
 rgbif-3.8.3/rgbif/tests/fixtures/dataset_list_funs.yml                        |   45 
 rgbif-3.8.3/rgbif/tests/fixtures/dataset_search.yml                           | 9738 
 rgbif-3.8.3/rgbif/tests/fixtures/dataset_search_facet.yml                     |  121 
 rgbif-3.8.3/rgbif/tests/fixtures/dataset_suggest.yml                          | 7363 
 rgbif-3.8.3/rgbif/tests/fixtures/dataset_suggest_description.yml              | 2927 
 rgbif-3.8.3/rgbif/tests/fixtures/dataset_uuid_funs.yml                        |122958 +++++++++-
 rgbif-3.8.3/rgbif/tests/fixtures/derived_dataset_1.yml                        |   25 
 rgbif-3.8.3/rgbif/tests/fixtures/derived_dataset_2.yml                        |   23 
 rgbif-3.8.3/rgbif/tests/fixtures/elevation.yml                                |   61 
 rgbif-3.8.3/rgbif/tests/fixtures/elevation_geonames_conn.yml                  |   21 
 rgbif-3.8.3/rgbif/tests/fixtures/elevation_geonames_conn_unauthorized.yml     |   47 
 rgbif-3.8.3/rgbif/tests/fixtures/elevation_models.yml                         |  161 
 rgbif-3.8.3/rgbif/tests/fixtures/elevation_unauthorized.yml                   |   24 
 rgbif-3.8.3/rgbif/tests/fixtures/elevation_warning_zero_zero.yml              |   21 
 rgbif-3.8.3/rgbif/tests/fixtures/enumeration.yml                              |  888 
 rgbif-3.8.3/rgbif/tests/fixtures/enumeration_fails_well.yml                   |   19 
 rgbif-3.8.3/rgbif/tests/fixtures/gbif_citation_downloadkey.yml                |   47 
 rgbif-3.8.3/rgbif/tests/fixtures/gbif_citation_occ_download_meta.yml          |   47 
 rgbif-3.8.3/rgbif/tests/fixtures/gbif_get_wait.yml                            |only
 rgbif-3.8.3/rgbif/tests/fixtures/gbif_oai_get_records.yml                     |  103 
 rgbif-3.8.3/rgbif/tests/fixtures/gbif_oai_identify.yml                        |   68 
 rgbif-3.8.3/rgbif/tests/fixtures/gbif_oai_list_identifiers.yml                |   22 
 rgbif-3.8.3/rgbif/tests/fixtures/gbif_oai_list_metadataformats.yml            |   21 
 rgbif-3.8.3/rgbif/tests/fixtures/gbif_oai_list_sets.yml                       | 2054 
 rgbif-3.8.3/rgbif/tests/fixtures/installation_search.yml                      |only
 rgbif-3.8.3/rgbif/tests/fixtures/installation_uuid_funs.yml                   |only
 rgbif-3.8.3/rgbif/tests/fixtures/installations.yml                            | 2675 
 rgbif-3.8.3/rgbif/tests/fixtures/installations_deleted.yml                    |   59 
 rgbif-3.8.3/rgbif/tests/fixtures/installations_uuid.yml                       |   19 
 rgbif-3.8.3/rgbif/tests/fixtures/installations_uuid_data.yml                  |   19 
 rgbif-3.8.3/rgbif/tests/fixtures/institution_search.yml                       |only
 rgbif-3.8.3/rgbif/tests/fixtures/map_fetch_png.yml                            | 5631 
 rgbif-3.8.3/rgbif/tests/fixtures/map_fetch_terra.yml                          |17593 -
 rgbif-3.8.3/rgbif/tests/fixtures/name_backbone.yml                            |   47 
 rgbif-3.8.3/rgbif/tests/fixtures/name_backbone_verbose_true.yml               |  183 
 rgbif-3.8.3/rgbif/tests/fixtures/name_issues.yml                              |  168 
 rgbif-3.8.3/rgbif/tests/fixtures/name_lookup_constituentKey.yml               | 3774 
 rgbif-3.8.3/rgbif/tests/fixtures/name_lookup_habitat.yml                      |10713 
 rgbif-3.8.3/rgbif/tests/fixtures/name_lookup_no_results.yml                   |   25 
 rgbif-3.8.3/rgbif/tests/fixtures/name_suggest.yml                             | 1905 
 rgbif-3.8.3/rgbif/tests/fixtures/name_suggest_many_args.yml                   |   21 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage.yml                               |  285 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_children.yml                 |  558 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_descriptions.yml             |  283 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_distributions.yml            | 1043 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_iucnRedListCategory.yml      |   37 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_media.yml                    |   37 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_name.yml                     |   37 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_parents.yml                  |  270 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_references.yml               |  487 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_related.yml                  | 1900 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_speciesProfiles.yml          |   37 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_synonyms.yml                 |   37 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_typeSpecimens.yml            |   37 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_data_vernacularNames.yml          |  363 
 rgbif-3.8.3/rgbif/tests/fixtures/name_usage_fails_well.yml                    |   21 
 rgbif-3.8.3/rgbif/tests/fixtures/network.yml                                  |   44 
 rgbif-3.8.3/rgbif/tests/fixtures/network_constituents.yml                     |10327 
 rgbif-3.8.3/rgbif/tests/fixtures/nodes.yml                                    | 4457 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_count.yml                                |  159 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_count_.yml                               |  175 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_count_facet.yml                          |  196 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_count_legacy_params.yml                  |  105 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_args_with_many_inputs.yml           | 2389 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_catalog_number.yml                  |  504 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_coordinateUncertaintyInMeters.yml   |  678 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_degreeOfEstablishment.yml           | 1008 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_depth.yml                           |  201 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_distanceFromCentroidInMeters.yml    |  720 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_dropped_fields.yml                  |  335 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_elevation.yml                       |  210 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_eventId.yml                         | 1386 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_fails_well.yml                      |   41 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_gadmGid.yml                         |  699 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_identifiedBy.yml                    | 1483 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_isInCluster.yml                     |  717 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_iucnRedListCategory.yml             | 1251 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_key_gbifid_character_class.yml      |  332 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_lifeStage.yml                       | 1074 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_networkKey.yml                      | 1159 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_occurrenceId.yml                    |  942 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_occurrencestatus.yml                |  628 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_organismQuantity.yml                |  638 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_organismQuantityType.yml            |  367 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_relativeOrganismQuantity.yml        |  742 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_scientificname.yml                  | 1542 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_speciesKey.yml                      | 1247 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_data_verbatimScientificName.yml          | 1235 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_1.yml                           |   43 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_2.yml                           |   45 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_3.yml                           |   43 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_4.yml                           |   43 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_5.yml                           |   43 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_6.yml                           |   43 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_7.yml                           |   43 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_8.yml                           |   43 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_cancel.yml                      |   23 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_cancel_prep.yml                 |   43 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_dataset_activity.yml            |   61 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_dataset_activity_error.yml      |   19 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_datasets.yml                    |   21 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_datasets_error.yml              |   19 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_describe.yml                    |   85 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_doi.yml                         |   19 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_list.yml                        |   82 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_list_unauthorized.yml           |   23 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_meta.yml                        |   21 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_meta_na_results.yml             |   19 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_meta_with_results.yml           |   19 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_queue.yml                       | 1134 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_download_sql_1.yml                       |   69 
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 rgbif-3.8.3/rgbif/tests/fixtures/occ_get.yml                                  |  875 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_get_other.yml                            |  458 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_metadata.yml                             |  143 
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 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_depth.yml                         |  223 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_distanceFromCentroidInMeters.yml  |  721 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_elevation.yml                     |  572 
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 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_gadmGid.yml                       |  699 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_geoDistance.yml                   |  256 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_hierarchy_data.yml                |  245 
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 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_isInCluster.yml                   |  717 
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 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_key_gbifid_character_class.yml    |  332 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_lifeStage.yml                     | 1076 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_many_inputs.yml                   | 2389 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_networkKey.yml                    | 1159 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_occurrenceId.yml                  |  942 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_occurrencestatus.yml              |  628 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_organismQuantity.yml              |  638 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_organismQuantityType.yml          |  367 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_relativeOrganismQuantity.yml      |  742 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_scientificname.yml                | 1542 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_speciesKey.yml                    | 1232 
 rgbif-3.8.3/rgbif/tests/fixtures/occ_search_verbatimScientificName.yml        | 1235 
 rgbif-3.8.3/rgbif/tests/fixtures/organizations_search_country.yml             |  106 
 rgbif-3.8.3/rgbif/tests/fixtures/organizations_search_uuid.yml                |12891 -
 rgbif-3.8.3/rgbif/tests/fixtures/wkt_large_occ_data.yml                       | 5648 
 rgbif-3.8.3/rgbif/tests/fixtures/wkt_large_occ_search.yml                     | 5648 
 rgbif-3.8.3/rgbif/tests/test-all.R                                            |    5 
 rgbif-3.8.3/rgbif/tests/testthat/test-collection_search.R                     |only
 rgbif-3.8.3/rgbif/tests/testthat/test-dataset_search.r                        |   11 
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New package power4mome with initial version 0.1.0
Package: power4mome
Title: Power Analysis for Moderation and Mediation
Version: 0.1.0
Description: Power analysis and sample size determination for moderation, mediation, and moderated mediation in models fitted by structural equation modelling using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02> or by multiple regression. The package 'manymome' by Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z> is used to specify the indirect paths or conditional indirect paths to be tested.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.4.0)
URL: https://sfcheung.github.io/power4mome/
BugReports: https://github.com/sfcheung/power4mome/issues
Imports: lavaan, stats, manymome (>= 0.2.8), pbapply, parallel, pgnorm, lmhelprs (>= 0.4.2), psych, yaml, graphics, methods
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-31 07:40:34 UTC; shufa
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut] , Wendie Yang [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-04 14:20:16 UTC

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Package mlflow updated to version 3.3.2 with previous version 3.2.0 dated 2025-08-21

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Ben Wilson [aut, cre], Matei Zaharia [aut], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Ben Wilson <benjamin.wilson@databricks.com>

Diff between mlflow versions 3.2.0 dated 2025-08-21 and 3.3.2 dated 2025-09-04

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Package grateful updated to version 0.3.0 with previous version 0.2.12 dated 2025-04-30

Title: Facilitate Citation of R Packages
Description: Facilitates the citation of R packages used in analysis projects. Scans project for packages used, gets their citations, and produces a document with citations in the preferred bibliography format, ready to be pasted into reports or manuscripts. Alternatively, 'grateful' can be used directly within an 'R Markdown' or 'Quarto' document.
Author: Francisco Rodriguez-Sanchez [aut, cre, cph] , Connor P. Jackson [aut] , Shaurita D. Hutchins [ctb], James M. Clawson [ctb]
Maintainer: Francisco Rodriguez-Sanchez <f.rodriguez.sanc@gmail.com>

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New package ELIC with initial version 0.1.0
Package: ELIC
Title: LIC for Distributed Elliptical Model
Version: 0.1.0
Date: 2025-08-16
Description: This comprehensive toolkit for Distributed Elliptical model is designated as "ELIC" (The LIC for Distributed Elliptical Model Analysis) analysis. It is predicated on the assumption that the error term adheres to a Elliptical distribution. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Author: Guangbao Guo [aut, cre], Xiyu Zhao [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Imports: distr, distrEllipse,MASS
Suggests: testthat (>= 3.0.0), sn
Depends: R (>= 4.4.0)
Packaged: 2025-08-27 01:37:26 UTC; 13269
Date/Publication: 2025-09-04 14:20:33 UTC

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Package boostmath updated to version 1.1.0 with previous version 1.0.2 dated 2025-07-31

Title: 'R' Bindings for the 'Boost' Math Functions
Description: 'R' bindings for the various functions and statistical distributions provided by the 'Boost' Math library <https://www.boost.org/doc/libs/latest/libs/math/doc/html/index.html>.
Author: Andrew R. Johnson [aut, cre]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

Diff between boostmath versions 1.0.2 dated 2025-07-31 and 1.1.0 dated 2025-09-04

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New package booami with initial version 0.1.0
Package: booami
Language: en-US
Title: Component-Wise Gradient Boosting after Multiple Imputation
Version: 0.1.0
Description: Component-wise gradient boosting for analysis of multiply imputed datasets. Implements the algorithm Boosting after Multiple Imputation (MIBoost), which enforces uniform variable selection across imputations and provides utilities for pooling. Includes a cross-validation workflow that first splits the data into training and validation sets and then performs imputation on the training data, applying the learned imputation models to the validation data to avoid information leakage. Supports Gaussian and logistic loss. Methods relate to gradient boosting and multiple imputation as in Buehlmann and Hothorn (2007) <doi:10.1214/07-STS242>, Friedman (2001) <doi:10.1214/aos/1013203451>, and van Buuren (2018, ISBN:9781138588318) and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>; see also Kuchen (2025) <doi:10.48550/arXiv.2507.21807>.
License: MIT + file LICENSE
URL: https://arxiv.org/abs/2507.21807, https://github.com/RobertKuchen/booami
BugReports: https://github.com/RobertKuchen/booami/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: MASS, stats, utils, withr
Suggests: mice, miceadds, Matrix, knitr, rmarkdown, testthat (>= 3.0.0), spelling
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-30 10:27:36 UTC; rokuchen
Author: Robert Kuchen [aut, cre]
Maintainer: Robert Kuchen <rokuchen@uni-mainz.de>
Repository: CRAN
Date/Publication: 2025-09-04 14:10:06 UTC

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Package ib updated to version 0.2.1 with previous version 0.2.0 dated 2022-04-04

Title: Bias Correction via Iterative Bootstrap
Description: An implementation of the iterative bootstrap procedure of Kuk (1995) <doi:10.1111/j.2517-6161.1995.tb02035.x> to correct the estimation bias of a fitted model object. This procedure has better bias correction properties than the bootstrap bias correction technique.
Author: Samuel Orso [aut, cre], Stephane Guerrier [ctb], Yuming Zhang [ctb]
Maintainer: Samuel Orso <Samuel.Orso@unige.ch>

Diff between ib versions 0.2.0 dated 2022-04-04 and 0.2.1 dated 2025-09-04

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