Thu, 16 Oct 2025

Package TITAN2 updated to version 2.4.4 with previous version 2.4.3 dated 2023-11-14

Title: Threshold Indicator Taxa Analysis
Description: Uses indicator species scores across binary partitions of a sample set to detect congruence in taxon-specific changes of abundance and occurrence frequency along an environmental gradient as evidence of an ecological community threshold. Relevant references include Baker and King (2010) <doi:10.1111/j.2041-210X.2009.00007.x>, King and Baker (2010) <doi:10.1899/09-144.1>, and Baker and King (2013) <doi:10.1899/12-142.1>.
Author: Matthew E. Baker [aut, cph] , Ryan S. King [aut, cph] , David Kahle [aut, cph, cre]
Maintainer: David Kahle <david@kahle.io>

Diff between TITAN2 versions 2.4.3 dated 2023-11-14 and 2.4.4 dated 2025-10-16

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Package plotthis updated to version 0.8.1 with previous version 0.8.0 dated 2025-09-23

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

Diff between plotthis versions 0.8.0 dated 2025-09-23 and 0.8.1 dated 2025-10-16

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Package ebdm updated to version 3.0.0 with previous version 1.1.0 dated 2025-07-17

Title: Estimating Bivariate Dependency from Marginal Data
Description: Provides statistical methods for estimating bivariate dependency (correlation) from marginal summary statistics across multiple studies. The package supports three modules: (1) bivariate correlation estimation for binary outcomes, (2) bivariate correlation estimation for continuous outcomes, and (3) estimation of component-wise means and variances under a conditional two-component Gaussian mixture model for a continuous variable stratified by a binary class label. These methods enable privacy-preserving joint estimation when individual-level data are unavailable. The approaches are detailed in Shang, Tsao, and Zhang (2025a) <doi:10.48550/arXiv.2505.03995> and Shang, Tsao, and Zhang (2025b) <doi:10.48550/arXiv.2508.02057>.
Author: Longwen Shang [aut, cre], Min Tsao [aut], Xuekui Zhang [aut]
Maintainer: Longwen Shang <shanglongwen0918@gmail.com>

Diff between ebdm versions 1.1.0 dated 2025-07-17 and 3.0.0 dated 2025-10-16

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Package tidychangepoint updated to version 1.0.2 with previous version 1.0.1 dated 2025-07-09

Title: A Tidy Framework for Changepoint Detection Analysis
Description: Changepoint detection algorithms for R are widespread but have different interfaces and reporting conventions. This makes the comparative analysis of results difficult. We solve this problem by providing a tidy, unified interface for several different changepoint detection algorithms. We also provide consistent numerical and graphical reporting leveraging the 'broom' and 'ggplot2' packages.
Author: Benjamin S. Baumer [aut, cre, cph] , Biviana Marcela Suarez Sierra [aut] , Arrigo Coen [aut] , Carlos A. Taimal [aut] , Xueheng Shi [ctb]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

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Package Spower updated to version 0.5.0 with previous version 0.4.0 dated 2025-09-05

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 0.4.0 dated 2025-09-05 and 0.5.0 dated 2025-10-16

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New package ZIHINAR1 with initial version 0.1.0
Package: ZIHINAR1
Title: Zero-Inflated and Hurdle INAR(1) Models
Version: 0.1.0
Maintainer: Fusheng Yang <fusheng.yang@uconn.edu>
Description: Provides tools for estimating Zero-Inflated INAR(1) (ZI-INAR(1)) and Hurdle INAR(1) (H-INAR(1)) models using 'Stan'. It allows users to simulate time series data for these models, estimate parameters, and evaluate model fit using various criteria. Functions include model estimation, simulation, and likelihood-based metrics.
License: GPL-3
Encoding: UTF-8
Imports: rstan, VGAM, actuar, matrixStats, coda, ggplot2, gridExtra, stats, knitr, utils
Suggests: testthat (>= 3.0.0), rmarkdown
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-10-11 21:02:31 UTC; ivyyang
Author: Fusheng Yang [aut, cre], Victor Hugo Lachos Davila [aut]
Repository: CRAN
Date/Publication: 2025-10-16 18:30:07 UTC

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New package toml with initial version 1.0.0
Package: toml
Title: Read, Write, and Modify TOML Files
Version: 1.0.0
Description: Simple toolkit for working with TOML text. Based on tomledit which allows for modifying TOML while preserving order, comments,and whitespace.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, V8 (>= 8.0.0)
BugReports: https://github.com/jeroen/toml/issues
NeedsCompilation: no
Packaged: 2025-10-10 22:29:17 UTC; jeroen
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 18:10:02 UTC

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New package MedxR with initial version 0.1.0
Package: MedxR
Title: Access Drug Regulatory Data via FDA and Health Canada APIs
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access drug regulatory data from public RESTful APIs including the 'FDA Open API' and the 'Health Canada Drug Product Database API', retrieving real-time or historical information on drug approvals, adverse events, recalls, and product details. Additionally, the package includes a curated collection of open datasets focused on drugs, pharmaceuticals, treatments, and clinical studies. These datasets cover diverse topics such as treatment dosages, pharmacological studies, placebo effects, drug reactions, misuses of pain relievers, and vaccine effectiveness. The package supports reproducible research and teaching in pharmacology, medicine, and healthcare by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'FDA API' <https://open.fda.gov/apis/> and 'Health Canada API' <https://health-products.canada.ca/api/documentation/dpd-documentation-en.html>.
License: GPL-3
Language: en
URL: https://github.com/lightbluetitan/medxr, https://lightbluetitan.github.io/medxr/
BugReports: https://github.com/lightbluetitan/medxr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr, memoise
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-11 23:23:55 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-16 18:30:13 UTC

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Package GreedyEPL updated to version 1.3 with previous version 1.2 dated 2021-09-02

Title: Greedy Expected Posterior Loss
Description: Summarises a collection of partitions into a single optimal partition. The objective function is the expected posterior loss, and the minimisation is performed through a greedy algorithm described in Rastelli, R. and Friel, N. (2017) "Optimal Bayesian estimators for latent variable cluster models" <DOI:10.1007/s11222-017-9786-y>.
Author: Riccardo Rastelli [aut, cre]
Maintainer: Riccardo Rastelli <riccardoras@gmail.com>

Diff between GreedyEPL versions 1.2 dated 2021-09-02 and 1.3 dated 2025-10-16

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New package KQM with initial version 1.1.1
Package: KQM
Title: K Quantiles Medoids (KQM) Clustering
Version: 1.1.1
Date: 2025-10-13
Depends: methods, MASS, gtools, cluster
Description: K Quantiles Medoids (KQM) clustering applies quantiles to divide data of each dimension into K mean intervals. Combining quantiles of all the dimensions of the data and fully permuting quantiles on each dimension is the strategy to determine a pool of candidate initial cluster centers. To find the best initial cluster centers from the pool of candidate initial cluster centers, two methods based on quantile strategy and PAM strategy respectively are proposed. During a clustering process, medoids of clusters are used to update cluster centers in each iteration. Comparison between KQM and the method of randomly selecting initial cluster centers shows that KQM is almost always getting clustering results with smaller total sum squares of distances.
License: GPL-2
NeedsCompilation: no
Packaged: 2025-10-12 17:35:40 UTC; Yarong
Author: Yarong Yang [aut, cre], Nader Ebrahimi [ctb], Yoram Rubin [ctb], Jacob Zhang [ctb]
Maintainer: Yarong Yang <Yi.YA_yaya@hotmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 18:30:19 UTC

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New package datareportR with initial version 0.1
Package: datareportR
Title: Fast Data Summary Reports
Version: 0.1
Description: Generates an RMarkdown data report with two components: a summary of an input dataset and a diff of the dataset relative to an old version.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Suggests: tinytest, datasets
Imports: diffdf, rmarkdown, skimr
NeedsCompilation: no
Packaged: 2025-10-11 23:23:27 UTC; bcong
Author: Bryant Cong [aut, cre]
Maintainer: Bryant Cong <bryant.bcp@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 18:30:02 UTC

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New package command with initial version 0.1.2
Package: command
Title: Process Command Line Arguments
Version: 0.1.2
Description: Process command line arguments, as part of a data analysis pipeline. The pipeline is controlled by a Makefile or shell script. Functions to construct Makefiles and shell scripts are included in a the package. The aim is a pipeline that is modular, transparent, and reliable.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: cli, fs, methods, tools
Suggests: covr, dplyr, ggplot2, knitr, littler, quarto, readr, rmarkdown, testthat (>= 3.0.0), tidyr, withr
URL: https://bayesiandemography.github.io/command/, https://github.com/bayesiandemography/command
BugReports: https://github.com/bayesiandemography/command/issues
NeedsCompilation: no
Packaged: 2025-10-11 05:44:57 UTC; johnbryant
Author: John Bryant [aut, cre], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>
Repository: CRAN
Date/Publication: 2025-10-16 18:10:07 UTC

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New package NOVA with initial version 0.1.1
Package: NOVA
Title: Neural Output Visualization and Analysis
Version: 0.1.1
Description: A comprehensive toolkit for analyzing and visualizing neural data outputs, including Principal Component Analysis (PCA) trajectory plotting, Multi-Electrode Array (MEA) heatmap generation, and variable importance analysis. Provides publication-ready visualizations with flexible customization options for neuroscience research applications.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: readr, tibble, DT, knitr, scales, readxl, writexl, dplyr, ggplot2, tidyr (>= 1.1.0), purrr (>= 0.3.0), rlang (>= 0.4.0), stringr (>= 1.4.0), RColorBrewer (>= 1.1.0), viridis (>= 0.5.0), pheatmap (>= 1.0.0), gridExtra (>= 2.3.0)
Suggests: utils, testthat (>= 3.0.0), rmarkdown (>= 2.0)
URL: https://github.com/atudoras/NOVA
BugReports: https://github.com/atudoras/NOVA/issues
NeedsCompilation: no
Packaged: 2025-10-10 22:03:33 UTC; alextudoras
Author: Alex Tudoras [aut, cre]
Maintainer: Alex Tudoras <alex.tudorasmiravet@ucsf.edu>
Repository: CRAN
Date/Publication: 2025-10-16 18:00:07 UTC

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New package cpp4r with initial version 0.3.0
Package: cpp4r
Title: Header-Only 'C++' and 'R' Interface
Version: 0.3.0
Description: Provides a header only, 'C++' interface to 'R' with enhancements over 'cpp11'. Enforces copy-on-write semantics consistent with 'R' behavior. Offers native support for ALTREP objects, 'UTF-8' string handling, modern 'C++11' features and idioms, and reduced memory requirements. Allows for vendoring, making it useful for restricted environments. Compared to 'cpp11', it adds support for converting 'C++' maps to 'R' lists, 'Roxygen' documentation directly in 'C++' code, proper handling of matrix attributes, support for nullable external pointers, bidirectional copy of complex number types, flexibility in type conversions, use of nullable pointers, and various performance optimizations.
License: Apache License (>= 2)
URL: https://cpp4r.org, https://github.com/pachadotdev/cpp4r
BugReports: https://github.com/pachadotdev/cpp4r/issues
Depends: R (>= 4.0.0)
Imports: brio, cli, decor, desc, glue, tibble, tools, utils, vctrs, withr
Suggests: mockery, roxygen2, testthat (>= 3.2.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-10 21:27:47 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Posit Software, PBC [aut]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 18:00:02 UTC

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Package SUMO updated to version 1.2.3 with previous version 1.2.2 dated 2025-10-14

Title: Generating Multi-Omics Datasets for Testing and Benchmarking
Description: Provides tools to simulate multi-omics datasets with predefined signal structures. The generated data can be used for testing, validating, and benchmarking integrative analysis methods such as factor models and clustering approaches. This version includes enhanced signal customization, visualization tools (scatter, histogram, 3D), MOFA-based analysis pipelines, PowerPoint export, and statistical profiling of datasets. Designed for both method development and teaching, SUMO supports real and synthetic data pipelines with interpretable outputs. Tini, Giulia, et al (2019) <doi:10.1093/bib/bbx167>.
Author: Bernard Isekah Osang'ir [aut, cre] , Ziv Shkedy [ctb], Surya Gupta [ctb], Juergen Claesen [ctb]
Maintainer: Bernard Isekah Osang'ir <Bernard.Osangir@sckcen.be>

Diff between SUMO versions 1.2.2 dated 2025-10-14 and 1.2.3 dated 2025-10-16

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Package SMOTEWB updated to version 1.2.5 with previous version 1.2.2 dated 2025-05-22

Title: Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)
Description: Provides the SMOTE with Boosting (SMOTEWB) algorithm. See F. Sağlam, M. A. Cengiz (2022) <doi:10.1016/j.eswa.2022.117023>. It is a SMOTE-based resampling technique which creates synthetic data on the links between nearest neighbors. SMOTEWB uses boosting weights to determine where to generate new samples and automatically decides the number of neighbors for each sample. It is robust to noise and outperforms most of the alternatives according to Matthew Correlation Coefficient metric. Alternative resampling methods are also available in the package.
Author: Fatih Saglam [aut, cre]
Maintainer: Fatih Saglam <saglamf89@gmail.com>

Diff between SMOTEWB versions 1.2.2 dated 2025-05-22 and 1.2.5 dated 2025-10-16

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Package treesliceR updated to version 1.1.0 with previous version 1.0.3 dated 2025-06-09

Title: To Slice Phylogenetic Trees and Infer Evolutionary Patterns Over Time
Description: Provide a range of functions with multiple criteria for cutting phylogenetic trees at any evolutionary depth. It enables users to cut trees in any orientation, such as rootwardly (from root to tips) and tipwardly (from tips to its root), or allows users to define a specific time interval of interest. It can also be used to create multiple tree pieces of equal temporal width. Moreover, it allows the assessment of novel temporal rates for various phylogenetic indexes, which can be quickly displayed graphically.
Author: Matheus Lima Araujo [aut, cre, cph] , Luiz Gabriel Souza e Souza Ferreira [aut] , Gabriel Nakamura [aut] , Marco Tulio Pacheco Coelho [aut] , Thiago Fernando Rangel [aut]
Maintainer: Matheus Lima Araujo <matheusaraujolima@live.com>

Diff between treesliceR versions 1.0.3 dated 2025-06-09 and 1.1.0 dated 2025-10-16

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Package streamDAG updated to version 1.6 with previous version 1.5-9 dated 2025-01-14

Title: Analytical Methods for Stream DAGs
Description: Provides indices and tools for directed acyclic graphs (DAGs), particularly DAG representations of intermittent streams. A detailed introduction to the package can be found in the publication: "Non-perennial stream networks as directed acyclic graphs: The R-package streamDAG" (Aho et al., 2023) <doi:10.1016/j.envsoft.2023.105775>, and in the introductory package vignette.
Author: Ken Aho [aut, cre], Arya Legg [dtc, ctb], Rob Ramos [dtc], Maggi Kraft [dtc], Charles T. Bond [dtc], Rebecca L. Hale [dtc]
Maintainer: Ken Aho <ahoken@isu.edu>

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Package IrishDirectorates updated to version 1.5 with previous version 1.4 dated 2019-08-29

Title: A Dynamic Bipartite Latent Space Model to Analyse Irish Companies' Boards from 2003 to 2013
Description: Provides the dataset and an implementation of the method illustrated in Friel, N., Rastelli, R., Wyse, J. and Raftery, A.E. (2016) <DOI:10.1073/pnas.1606295113>.
Author: Riccardo Rastelli [aut, cre]
Maintainer: Riccardo Rastelli <riccardoras@gmail.com>

Diff between IrishDirectorates versions 1.4 dated 2019-08-29 and 1.5 dated 2025-10-16

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Package expSBM updated to version 1.3.6 with previous version 1.3.5 dated 2019-10-15

Title: An Exponential Stochastic Block Model for Interaction Lengths
Description: Given a continuous-time dynamic network, this package allows one to fit a stochastic blockmodel where nodes belonging to the same group create interactions and non-interactions of similar lengths. This package implements the methodology described by R. Rastelli and M. Fop (2020) <doi:10.1007/s11634-020-00403-w>.
Author: Riccardo Rastelli [aut, cre] , Michael Fop [aut]
Maintainer: Riccardo Rastelli <riccardoras@gmail.com>

Diff between expSBM versions 1.3.5 dated 2019-10-15 and 1.3.6 dated 2025-10-16

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Package rpgconn updated to version 0.3.2 with previous version 0.3.1 dated 2025-08-21

Title: User-Friendly PostgreSQL Connection Management
Description: Provides a user-friendly interface for managing PostgreSQL database connection settings. The package supplies helper functions to create, edit and load connection and option configuration files stored in a user-specific directory using the 'odbc' and 'RPostgres' back ends. These helpers make it easy to construct a reproducible connection string from a configuration file, either by reading user-defined YAML files or by parsing an environment variable.
Author: Bobby Fatemi [aut, cre]
Maintainer: Bobby Fatemi <bfatemi07@gmail.com>

Diff between rpgconn versions 0.3.1 dated 2025-08-21 and 0.3.2 dated 2025-10-16

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Package archiveRetriever updated to version 0.4.1 with previous version 0.4.0 dated 2024-06-11

Title: Retrieve Archived Web Pages from the 'Internet Archive'
Description: Scraping content from archived web pages stored in the 'Internet Archive' (<https://archive.org>) using a systematic workflow. Get an overview of the mementos available from the respective homepage, retrieve the Urls and links of the page and finally scrape the content. The final output is stored in tibbles, which can be then easily used for further analysis.
Author: Lukas Isermann [aut, cre] , Konstantin Gavras [aut]
Maintainer: Lukas Isermann <lukas.isermann@uni-mannheim.de>

Diff between archiveRetriever versions 0.4.0 dated 2024-06-11 and 0.4.1 dated 2025-10-16

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Package lavaangui updated to version 0.3.0 with previous version 0.2.6 dated 2025-08-19

Title: Graphical User Interface with Integrated 'Diagrammer' for 'Lavaan'
Description: Provides a graphical user interface with an integrated diagrammer for latent variable models from the 'lavaan' package. It offers two core functions: first, lavaangui() launches a web application that allows users to specify models by drawing path diagrams, fitting them, assessing model fit, and more; second, plot_lavaan() creates interactive path diagrams from models specified in 'lavaan'. Karch (2024) <doi: 10.31234/osf.io/f4ary> contains a tutorial.
Author: Julian D. Karch [aut, cre, cph]
Maintainer: Julian D. Karch <j.d.karch@fsw.leidenuniv.nl>

Diff between lavaangui versions 0.2.6 dated 2025-08-19 and 0.3.0 dated 2025-10-16

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Package duckdb updated to version 1.4.1 with previous version 1.4.0 dated 2025-09-18

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between duckdb versions 1.4.0 dated 2025-09-18 and 1.4.1 dated 2025-10-16

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New package skiftiTools with initial version 0.1.0
Package: skiftiTools
Title: Tools and Operations for Reading, Writing, Viewing, and Manipulating SKIFTI Files
Version: 0.1.0
Description: SKIFTI files contain brain imaging data in coordinates across Tract Based Spatial Statistics (TBSS) skeleton, which represent the brain white matter intensity values. 'skiftiTools' provides a unified environment for reading, writing, visualizing and manipulating SKIFTI-format data. It supports the "subsetting", "concatenating", and using data as data.frame for R statistical functions. The SKIFTI data is structured for convenient access to the data and metadata, and includes support for visualizations. For more information see Merisaari et al. (2024) <doi:10.57736/87d2-0608>.
Depends: R (>= 4.2.0)
License: GPL-3
Encoding: UTF-8
Imports: RNifti, stringr, R.utils, rmarchingcubes, Rvcg, png, rgl, oce, abind, methods, s2dv
URL: https://github.com/haanme/skiftiTools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-10 11:13:51 UTC; root
Author: Harri Merisaari [aut] , Ilkka Suuronen [cre]
Maintainer: Ilkka Suuronen <ilksuu@utu.fi>
Repository: CRAN
Date/Publication: 2025-10-16 12:10:02 UTC

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New package sensitivityIxJ with initial version 0.1.5
Package: sensitivityIxJ
Title: Exact Nonparametric Sensitivity Analysis for I by J Contingency Tables
Version: 0.1.5
Description: Implements exact, normally approximated, and sampling-based sensitivity analysis for observational studies with contingency tables. Includes exact (kernel-based), normal approximation, and sequential importance sampling (SIS) methods using 'Rcpp' for computational efficiency. The methods build upon the framework introduced in Rosenbaum (2002) <doi:10.1007/978-1-4757-3692-2> and the generalized design sensitivity framework developed by Chiu (2025) <doi:10.48550/arXiv.2507.17207>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp
LinkingTo: Rcpp
Suggests: rbounds
NeedsCompilation: yes
Packaged: 2025-10-10 20:51:23 UTC; mac
Author: Elaine Chiu [aut, cre]
Maintainer: Elaine Chiu <kchiu4@wisc.edu>
Repository: CRAN
Date/Publication: 2025-10-16 12:20:02 UTC

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New package QualityMeasure with initial version 2.0.1
Package: QualityMeasure
Title: Methods for Analyzing Quality Measure Performance
Version: 2.0.1
Date: 2025-10-09
Description: Quality of care is compared across accountable entities, including hospitals, provider groups, and insurance plans, using standardized quality measures. However, observed variations in quality measure performance might be the result of chance sampling or measurement errors. Contains functions for estimating the reliability of unadjusted and risk-standardized quality measures.
License: GPL (>= 3)
Depends: R (>= 4.0), ggplot2, doParallel, lme4
Imports: foreach, parallel, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-10 19:36:07 UTC; knies
Author: Kenneth Nieser [aut, cre, cph]
Maintainer: Kenneth Nieser <nieser@stanford.edu>
Repository: CRAN
Date/Publication: 2025-10-16 12:20:11 UTC

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New package dispersionIndicators with initial version 0.1.1
Package: dispersionIndicators
Title: Indicators for the Analysis of Dispersion of Datasets with Batched and Ordered Samples
Version: 0.1.1
Depends: R (>= 4.1)
Description: Provides methods for analyzing the dispersion of tabular datasets with batched and ordered samples. Based on convex hull or integrated covariance Mahalanobis, several indicators are implemented for inter and intra batch dispersion analysis. It is designed to facilitate robust statistical assessment of data variability, supporting applications in exploratory data analysis and quality control, for such datasets as the one found in metabololomics studies. For more details see Salanon (2024) <doi:10.1016/j.chemolab.2024.105148> and Salanon (2025) <doi:10.1101/2025.08.01.668073>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: cli, pdftools, testthat (>= 3.0.0)
Imports: corpcor, ggplot2 (>= 3.5.2), stats, utils
NeedsCompilation: no
Packaged: 2025-10-10 15:35:33 UTC; ejules
Author: Brice Mulot [aut], Elfried Salanon [ctb], Etienne Jules [aut, cre], INRAE [cph]
Maintainer: Etienne Jules <etienne.jules@inrae.fr>
Repository: CRAN
Date/Publication: 2025-10-16 12:10:07 UTC

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New package bootkmeans with initial version 1.0.0
Package: bootkmeans
Title: A Bootstrap Augmented k-Means Algorithm for Fuzzy Partitions
Version: 1.0.0
Date: 2025-09-18
Author: Jesse S. Ghashti [aut, cre], Jeffrey L. Andrews [aut], John R.J. Thompson [aut], Joyce Epp [aut], Harkunwar S. Kochar [aut]
Maintainer: Jesse S. Ghashti <jesse.ghashti@ubc.ca>
Description: Implementation of the bootkmeans algorithm, a bootstrap augmented k-means algorithm that returns probabilistic cluster assignments. From paper by Ghashti, J.S., Andrews, J.L. Thompson, J.R.J., Epp, J. and H.S. Kochar (2025), "A bootstrap augmented k-means algorithm for fuzzy partitions" (Submitted).
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0), lmtest, abind
Imports: MASS, stats, fclust, Thresher, mvtnorm
Suggests: knitr, markdown, ggplot2, patchwork, scales, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-10 21:25:58 UTC; jesseghashti
Language: en-US
Repository: CRAN
Date/Publication: 2025-10-16 12:20:06 UTC

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New package tmapverse with initial version 0.1.0
Package: tmapverse
Title: Meta-Package for Thematic Mapping with 'tmap'
Version: 0.1.0
Description: Attaches a set of packages commonly used for spatial plotting with 'tmap'. It includes 'tmap' and its extensions ('tmap.glyphs', 'tmap.networks', 'tmap.cartogram', 'tmap.mapgl'), as well as supporting spatial data packages ('sf', 'stars', 'terra') and 'cols4all' for exploring color palettes. The collection is designed for thematic mapping workflows and does not include the full set of packages from the R-spatial ecosystem.
Depends: R (>= 4.1)
Imports: tmap (>= 4.2), tmap.glyphs, tmap.networks, tmap.cartogram, tmap.mapgl, sf, stars, terra, cols4all, cli, crayon
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-09 15:24:09 UTC; mtes
Author: Martijn Tennekes [aut, cre], Robin Lovelace [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 11:40:02 UTC

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New package qatarcars with initial version 1.0.0
Package: qatarcars
Title: Data on Cars in Qatar
Version: 1.0.0
Date: 2025-10-09
Description: Fuel economy, size, performance, and price data for cars in Qatar in 2025. Mirrors many of the columns in mtcars, but uses (1) non-US-centric makes and models, (2) 2025 prices, and (3) metric measurements, making it more appropriate for use as an example dataset outside the United States.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
URL: https://profmusgrave.github.io/qatarcars/, https://github.com/profmusgrave/qatarcars
BugReports: https://github.com/profmusgrave/qatarcars/issues
Suggests: altdoc, downlit, dplyr, ggplot2, scales, testthat (>= 3.0.0), tibble, xml2
NeedsCompilation: no
Packaged: 2025-10-09 14:58:27 UTC; andrew
Author: Paul Musgrave [aut, cre, cph] , Andrew Heiss [aut]
Maintainer: Paul Musgrave <rpm47@georgetown.edu>
Repository: CRAN
Date/Publication: 2025-10-16 12:00:02 UTC

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New package eventreport with initial version 0.1.1
Package: eventreport
Title: Diagnose, Visualize, and Aggregate Event Report Level Data
Version: 0.1.1
Maintainer: Sebastian van Baalen <sebastian.van-baalen@pcr.uu.se>
Description: Diagnose, visualize, and aggregate event report level data to the event level. Users provide an event report level dataset, specify their aggregation rules, and the package produces a dataset aggregated at the event level. Also includes the Modes and Agents of Election-Related Violence in Côte d'Ivoire and Kenya (MAVERICK) dataset, an event report level dataset that records all documented instances of electoral violence from the first multiparty election to 2022 in Côte d'Ivoire (1995-2022) and Kenya (1992-2022).
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Imports: dplyr, lubridate, purrr, tidyr, ggplot2, magrittr, rlang, scales, tidyselect, tibble
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, devtools, tidyverse, tinytable
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
URL: https://github.com/sebastianvanbaalen/eventreport
BugReports: https://github.com/sebastianvanbaalen/eventreport/issues
NeedsCompilation: no
Packaged: 2025-10-09 15:56:07 UTC; sebastian
Author: Sebastian van Baalen [aut, cre, cph] , Kristine Hoeglund [aut]
Repository: CRAN
Date/Publication: 2025-10-16 11:40:07 UTC

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New package envsetup with initial version 0.3.0
Package: envsetup
Title: Support the Setup of the R Environment for Clinical Trial Programming Workflows
Version: 0.3.0
Description: The purpose of this package is to support the setup the R environment. The two main features are 'autos', to automatically source files and/or directories into your environment, and 'paths' to consistently set path objects across projects for input and output. Both are implemented using a configuration file to allow easy, custom configurations that can be used for multiple or all projects.
License: Apache License 2.0
Encoding: UTF-8
Imports: config, fs, purrr, rlang, usethis, envnames, utils
Suggests: rmarkdown, testthat, knitr, kableExtra, magrittr, devtools, readr, tidyr, withr, lintr, styler, renv, covr
VignetteBuilder: knitr
URL: https://github.com/pharmaverse/envsetup
BugReports: https://github.com/pharmaverse/envsetup/issues
NeedsCompilation: no
Packaged: 2025-10-09 19:14:04 UTC; nmasel
Author: Nicholas Masel [aut, cre], Mike Stackhouse [aut] , Aidan Ceney [aut], Johnson & Johnson Innovative Medicine [cph, fnd], Atorus Research, Inc. [cph]
Maintainer: Nicholas Masel <nmasel@its.jnj.com>
Repository: CRAN
Date/Publication: 2025-10-16 11:50:02 UTC

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New package descsuppRplots with initial version 1.0
Package: descsuppRplots
Title: Generate Plots for All Variables in Descriptive Tables
Version: 1.0
Description: Visualizes variables from descriptive tables produced by 'descsuppR::buildDescrTbl()' using 'ggstatsplot'. It automatically maps each variable to a suitable 'ggstatsplot' plotting function based on the applied or suggested statistical test. Users can override the automatic mapping via a named list of plot specifications. The package supports grouped and ungrouped tables, and forwards additional arguments to the underlying 'ggstatsplot' functions, providing quick, reproducible, and customizable default visualizations for descriptive summaries.
Depends: descsuppR (>= 1.1)
Imports: dplyr, descutils, rlang, tibble, ggplot2, ggstatsplot (>= 0.12.0), ggsignif, zoo
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-09 16:14:04 UTC; kueck2
Author: Andreas Leha [aut], Fabian Kueck [aut, cre]
Maintainer: Fabian Kueck <fabian.kueck@med.uni-goettingen.de>
Repository: CRAN
Date/Publication: 2025-10-16 11:40:13 UTC

More information about descsuppRplots at CRAN
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Package BSPBSS updated to version 1.0.6 with previous version 1.0.5 dated 2022-11-25

Title: Bayesian Spatial Blind Source Separation
Description: Gibbs sampling for Bayesian spatial blind source separation (BSP-BSS). BSP-BSS is designed for spatially dependent signals in high dimensional and large-scale data, such as neuroimaging. The method assumes the expectation of the observed images as a linear mixture of multiple sparse and piece-wise smooth latent source signals, and constructs a Bayesian nonparametric prior by thresholding Gaussian processes. Details can be found in our paper: Wu, B., Guo, Y., & Kang, J. (2024). Bayesian spatial blind source separation via the thresholded gaussian process. Journal of the American Statistical Association, 119(545), 422-433.
Author: Ben Wu [aut, cre], Ying Guo [aut], Jian Kang [aut]
Maintainer: Ben Wu <wuben@ruc.edu.cn>

Diff between BSPBSS versions 1.0.5 dated 2022-11-25 and 1.0.6 dated 2025-10-16

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New package brfinance with initial version 0.2.0
Package: brfinance
Title: Simplified Access to Brazilian Financial and Macroeconomic Data
Version: 0.2.0
Description: It offers simplified access to Brazilian macroeconomic and financial indicators selected from official sources, such as the 'IBGE' (Brazilian Institute of Geography and Statistics) via the 'SIDRA' API and the 'Central Bank of Brazil' via the 'SGS' API. It allows users to quickly retrieve and visualize data series such as the unemployment rate and the Selic interest rate. This package was developed for data access and visualization purposes, without generating forecasts or statistical results. For more information, see the official APIs: <https://sidra.ibge.gov.br/> and <https://dadosabertos.bcb.gov.br/dataset/>.
License: MIT + file LICENSE
URL: https://github.com/efram2/brfinance
BugReports: https://github.com/efram2/brfinance/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, scales, httr2, lubridate, sidrar, stringr, janitor
Suggests: testthat (>= 3.0.0), rmarkdown
NeedsCompilation: no
Packaged: 2025-10-09 14:12:43 UTC; user
Author: Joao Paulo dos Santos Pereira Barbosa [aut, cre]
Maintainer: Joao Paulo dos Santos Pereira Barbosa <joao.31582129@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 11:40:17 UTC

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New package BayesianDisaggregation with initial version 0.1.2
Package: BayesianDisaggregation
Title: Bayesian Methods for Economic Data Disaggregation
Version: 0.1.2
Depends: R (>= 4.1.0)
Description: Implements a novel Bayesian disaggregation framework that combines Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) dimension reduction of prior weight matrices with deterministic Bayesian updating rules. The method provides Markov Chain Monte Carlo (MCMC) free posterior estimation with built-in diagnostic metrics. While based on established PCA (Jolliffe, 2002) <doi:10.1007/b98835> and Bayesian principles (Gelman et al., 2013) <doi:10.1201/b16018>, the specific integration for economic disaggregation represents an original methodological contribution.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, dplyr, tidyr, stringr, foreach, doParallel, openxlsx, rlang, tibble, magrittr
Suggests: knitr, rmarkdown, ggplot2, readr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-09 15:47:09 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-10-16 11:40:21 UTC

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Package SdeaR updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-14

Title: Stochastic Data Envelopment Analysis
Description: Set of functions for Stochastic Data Envelopment Analysis. Chance constrained versions of radial, directional and additive DEA models are implemented, as long as super-efficiency models. See: Cooper, W.W.; Deng, H.; Huang, Z.; Li, S.X. (2002). <doi:10.1057/palgrave.jors.2601433>, Bolós, V.J.; Benítez, R.; Coll-Serrano, V. (2024) <doi:10.1016/j.orp.2024.100307>.
Author: Vicente Bolos [aut, cre], Vicente Coll-Serrano [aut], Rafael Benitez Suarez [aut]
Maintainer: Vicente Bolos <vicente.bolos@uv.es>

Diff between SdeaR versions 1.0.0 dated 2025-09-14 and 1.0.1 dated 2025-10-16

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Package GSEMA readmission to version 0.99.4 with previous version 0.99.3 dated 2024-10-14

Title: Gene Set Enrichment Meta-Analysis
Description: Performing the different steps of gene set enrichment meta-analysis. It provides different functions that allow the application of meta-analysis based on the combination of effect sizes from different pathways in different studies to obtain significant pathways that are common to all of them.
Author: Juan Antonio Villatoro-Garcia [aut, cre], Pablo Jurado-Bascon [aut], Pedro Carmona-Saez [aut]
Maintainer: Juan Antonio Villatoro-Garcia <juanantoniovillatorogarcia@gmail.com>

This is a re-admission after prior archival of version 0.99.3 dated 2024-10-14

Diff between GSEMA versions 0.99.3 dated 2024-10-14 and 0.99.4 dated 2025-10-16

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Package strvalidator updated to version 2.4.2 with previous version 2.4.1 dated 2023-07-16

Title: Process Control and Validation of Forensic STR Kits
Description: An open source platform for validation and process control. Tools to analyze data from internal validation of forensic short tandem repeat (STR) kits are provided. The tools are developed to provide the necessary data to conform with guidelines for internal validation issued by the European Network of Forensic Science Institutes (ENFSI) DNA Working Group, and the Scientific Working Group on DNA Analysis Methods (SWGDAM). A front-end graphical user interface is provided. More information about each function can be found in the respective help documentation.
Author: Oskar Hansson [aut, cre]
Maintainer: Oskar Hansson <oskhan@ous-hf.no>

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Package regMMD updated to version 0.0.3 with previous version 0.0.2 dated 2025-10-15

Title: Robust Regression and Estimation Through Maximum Mean Discrepancy Minimization
Description: The functions in this package compute robust estimators by minimizing a kernel-based distance known as MMD (Maximum Mean Discrepancy) between the sample and a statistical model. Recent works proved that these estimators enjoy a universal consistency property, and are extremely robust to outliers. Various optimization algorithms are implemented: stochastic gradient is available for most models, but the package also allows gradient descent in a few models for which an exact formula is available for the gradient. In terms of distribution fit, a large number of continuous and discrete distributions are available: Gaussian, exponential, uniform, gamma, Poisson, geometric, etc. In terms of regression, the models available are: linear, logistic, gamma, beta and Poisson. Alquier, P. and Gerber, M. (2024) <doi:10.1093/biomet/asad031> Cherief-Abdellatif, B.-E. and Alquier, P. (2022) <doi:10.3150/21-BEJ1338>.
Author: Pierre Alquier [aut, cre] , Mathieu Gerber [aut]
Maintainer: Pierre Alquier <pierre.alquier.stat@gmail.com>

Diff between regMMD versions 0.0.2 dated 2025-10-15 and 0.0.3 dated 2025-10-16

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Package piecepackr readmission to version 1.15.3 with previous version 1.15.1 dated 2025-05-08

Title: Board Game Graphics
Description: Functions to make board game graphics with the 'ggplot2', 'grid', 'rayrender', 'rayvertex', and 'rgl' packages. Specializes in game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <https://www.ludism.org/ppwiki> but can make graphics for other board game systems. Includes configurations for several public domain game systems such as checkers, (double-18) dominoes, go, 'piecepack', playing cards, etc.
Author: Trevor L. Davis [aut, cre] , Linux Foundation [dtc] , Delapouite <https://delapouite.com/> [ill] , Creative Commons [ill] ` uses "license badges" from Creative Commons to describe the generated print-and-play file's license)
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

This is a re-admission after prior archival of version 1.15.1 dated 2025-05-08

Diff between piecepackr versions 1.15.1 dated 2025-05-08 and 1.15.3 dated 2025-10-16

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Package ggpath updated to version 1.1.1 with previous version 1.1.0 dated 2025-09-17

Title: Robust Image Rendering Support for 'ggplot2'
Description: A 'ggplot2' extension that enables robust image grobs in panels and theme elements.
Author: Sebastian Carl [aut, cre, cph]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>

Diff between ggpath versions 1.1.0 dated 2025-09-17 and 1.1.1 dated 2025-10-16

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Package fledge updated to version 0.1.3 with previous version 0.1.2 dated 2024-02-18

Title: Smoother Change Tracking and Versioning for R Packages
Description: Streamlines the process of updating changelogs (NEWS.md) and versioning R packages developed in git repositories.
Author: Kirill Mueller [aut, cre, cph] , Patrick Schratz [aut] , Maelle Salmon [ctb]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between fledge versions 0.1.2 dated 2024-02-18 and 0.1.3 dated 2025-10-16

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Package bage updated to version 0.9.8 with previous version 0.9.7 dated 2025-10-07

Title: Bayesian Estimation and Forecasting of Age-Specific Rates
Description: Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on 'Template Model Builder'.
Author: John Bryant [aut, cre], Junni Zhang [aut], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

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Package torch updated to version 0.16.1 with previous version 0.16.0 dated 2025-08-21

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], Sebastian Fischer [ctb], Maximilian Pichler [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package geoGAM updated to version 0.1-4 with previous version 0.1-3 dated 2023-11-14

Title: Select Sparse Geoadditive Models for Spatial Prediction
Description: A model building procedure to build parsimonious geoadditive model from a large number of covariates. Continuous, binary and ordered categorical responses are supported. The model building is based on component wise gradient boosting with linear effects, smoothing splines and a smooth spatial surface to model spatial autocorrelation. The resulting covariate set after gradient boosting is further reduced through backward elimination and aggregation of factor levels. The package provides a model based bootstrap method to simulate prediction intervals for point predictions. A test data set of a soil mapping case study in Berne (Switzerland) is provided. Nussbaum, M., Walthert, L., Fraefel, M., Greiner, L., and Papritz, A. (2017) <doi:10.5194/soil-3-191-2017>.
Author: Madlene Nussbaum [cre, aut], Andreas Papritz [ths]
Maintainer: Madlene Nussbaum <m.nussbaum@uu.nl>

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Package DALEX updated to version 2.5.3 with previous version 2.5.2 dated 2025-07-27

Title: moDel Agnostic Language for Exploration and eXplanation
Description: Any unverified black box model is the path to failure. Opaqueness leads to distrust. Distrust leads to ignoration. Ignoration leads to rejection. DALEX package xrays any model and helps to explore and explain its behaviour. Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance. But such black-box models usually lack direct interpretability. DALEX package contains various methods that help to understand the link between input variables and model output. Implemented methods help to explore the model on the level of a single instance as well as a level of the whole dataset. All model explainers are model agnostic and can be compared across different models. DALEX package is the cornerstone for 'DrWhy.AI' universe of packages for visual model exploration. Find more details in (Biecek 2018) <https://jmlr.org/papers/v19/18 [...truncated...]
Author: Przemyslaw Biecek [aut, cre] , Szymon Maksymiuk [aut] , Hubert Baniecki [aut]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

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Package AlleleShift updated to version 1.1-3 with previous version 1.1-2 dated 2023-10-28

Title: Predict and Visualize Population-Level Changes in Allele Frequencies in Response to Climate Change
Description: Methods (<doi:10.7717/peerj.11534>) are provided of calibrating and predicting shifts in allele frequencies through redundancy analysis ('vegan::rda()') and generalized additive models ('mgcv::gam()'). Visualization functions for predicted changes in allele frequencies include 'shift.dot.ggplot()', 'shift.pie.ggplot()', 'shift.moon.ggplot()', 'shift.waffle.ggplot()' and 'shift.surf.ggplot()' that are made with input data sets that are prepared by helper functions for each visualization method. Examples in the documentation show how to prepare animated climate change graphics through a time series with the 'gganimate' package. Function 'amova.rda()' shows how Analysis of Molecular Variance can be directly conducted with the results from redundancy analysis.
Author: Roeland Kindt [cre, aut]
Maintainer: Roeland Kindt <RoelandCEKindt@gmail.com>

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Package iNEXT.3D updated to version 1.0.11 with previous version 1.0.10 dated 2025-07-02

Title: Interpolation and Extrapolation for Three Dimensions of Biodiversity
Description: Biodiversity is a multifaceted concept covering different levels of organization from genes to ecosystems. 'iNEXT.3D' extends 'iNEXT' to include three dimensions (3D) of biodiversity, i.e., taxonomic diversity (TD), phylogenetic diversity (PD) and functional diversity (FD). This package provides functions to compute standardized 3D diversity estimates with a common sample size or sample coverage. A unified framework based on Hill numbers and their generalizations (Hill-Chao numbers) are used to quantify 3D. All 3D estimates are in the same units of species/lineage equivalents and can be meaningfully compared. The package features size- and coverage-based rarefaction and extrapolation sampling curves to facilitate rigorous comparison of 3D diversity across individual assemblages. Asymptotic 3D diversity estimates are also provided. See Chao et al. (2021) <doi:10.1111/2041-210X.13682> for more details.
Author: Anne Chao [aut, cre], KaiHsiang Hu [ctb], PoYen Chuang [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>

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Package grouper updated to version 0.5.0 with previous version 0.3.1 dated 2025-07-09

Title: Optimal Assignment of Students to Groups
Description: Integer programming models to assign students to groups by maximising diversity within groups, or by maximising preference scores for topics.
Author: Vik Gopal [aut, cre], Kevin Lam [aut], Ju Xue [ctb], National University of Singapore [cph]
Maintainer: Vik Gopal <vik.gopal@nus.edu.sg>

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Package GitStats updated to version 2.3.7 with previous version 2.3.6 dated 2025-09-17

Title: Standardized Git Repository Data
Description: Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 'Git' platforms by providing a unified way to access repository data.
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>

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Package probably updated to version 1.2.0 with previous version 1.1.1 dated 2025-07-30

Title: Tools for Post-Processing Predicted Values
Description: Models can be improved by post-processing class probabilities, by: recalibration, conversion to hard probabilities, assessment of equivocal zones, and other activities. 'probably' contains tools for conducting these operations as well as calibration tools and conformal inference techniques for regression models.
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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More information about probably at CRAN
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Package brainGraph updated to version 3.1.1 with previous version 3.1.0 dated 2024-04-04

Title: Graph Theory Analysis of Brain MRI Data
Description: A set of tools for performing graph theory analysis of brain MRI data. It works with data from a Freesurfer analysis (cortical thickness, volumes, local gyrification index, surface area), diffusion tensor tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains a graphical user interface for graph visualization and data exploration, along with several functions for generating useful figures.
Author: Christopher G. Watson [aut, cre]
Maintainer: Christopher G. Watson <cgwatson@bu.edu>

Diff between brainGraph versions 3.1.0 dated 2024-04-04 and 3.1.1 dated 2025-10-16

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More information about brainGraph at CRAN
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