Tue, 22 Sep 2026

Package richCluster updated to version 2.0.1 with previous version 2.0.0 dated 2026-09-16

Title: Fast, Robust Clustering Algorithms for Gene Enrichment Data
Description: Clusters functionally related biological terms from gene set enrichment results. Terms are compared by the overlap of their gene sets using Cohen's kappa, the Jaccard index, or the Dice coefficient, and the resulting similarity matrix is grouped either by agglomerative hierarchical clustering with single, complete, average, or Ward linkage, or by the seed-and-merge procedure of the 'DAVID' functional classification tool. The distance and clustering routines are written in 'C++' for speed. The methods are described in Huang et al. (2007) <doi:10.1186/gb-2007-8-9-r183>, Ward (1963) <doi:10.1080/01621459.1963.10500845>, Cohen (1960) <doi:10.1177/001316446002000104>, and Jaccard (1912) <doi:10.1111/j.1469-8137.1912.tb05611.x>.
Author: Junguk Hur [aut, cre] , Sarah Hong [aut], Jane Kim [aut]
Maintainer: Junguk Hur <hurlabshared@gmail.com>

Diff between richCluster versions 2.0.0 dated 2026-09-16 and 2.0.1 dated 2026-09-22

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Package MorphSim readmission to version 1.2.1 with previous version 1.2.0 dated 2026-05-06

Title: Simulate Discrete Character Data along Phylogenetic Trees
Description: Tools to simulate morphological traits along phylogenetic trees with branch lengths representing evolutionary distance or time. Includes functions for visualizing evolutionary processes along trees and within morphological character matrices. Methods are described in Mulvey et al. (2026) <doi:10.1111/2041-210X.70326>.
Author: Laura Mulvey [aut, cre, cph], Tim Brandler [aut, cph], Alessio Capobianco [aut, cph], Rachel Warnock [aut, cph], Joelle Barido-Sottani [aut, cph]
Maintainer: Laura Mulvey <lauramulvey479@gmail.com>

This is a re-admission after prior archival of version 1.2.0 dated 2026-05-06

Diff between MorphSim versions 1.2.0 dated 2026-05-06 and 1.2.1 dated 2026-09-22

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Package GMTM updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-15

Title: Gaussian Mixture Topic Models
Description: Gaussian mixture models (GMM) and k-means for topic analysis of dense document vectors. The underlying clustering functions rely on the Armadillo library (Sanderson & Curtin, 2017) <doi:10.1109/ICSPCS.2017.8270510>.
Author: Kohei Watanabe [aut, cre, cph] , Sanderson Conrad [ctb, cph] , Curtin Ryan [ctb, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between GMTM versions 0.1.0 dated 2026-09-15 and 0.2.0 dated 2026-09-22

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Package ggbreak updated to version 0.2.2 with previous version 0.1.7 dated 2026-03-18

Title: Set Axis Break for 'ggplot2'
Description: An implementation of scale functions for setting axis breaks of a 'gg' plot (S Xu (2021) <doi:10.3389/fgene.2021.774846>).
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package drrglm updated to version 0.4.0 with previous version 0.3.2 dated 2026-04-20

Title: Doubly Regularized Matrix-Variate Regression
Description: The doubly regularized matrix-variate regression solves a low-rank-plus-sparse structure for matrix-variate generalized linear models through a weighted combination of nuclear-norm and L1-norm. The methodology implemented by this package is described in the paper "Doubly Regularized Matrix-Variate Regression". See Xu, Luo and Jiang <doi:10.1080/10618600.2026.2702534>.
Author: Zengchao Xu [aut, cre, cph], Shan Luo [aut], Binyan Jiang [aut]
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>

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Package aplot updated to version 0.3.2 with previous version 0.3.1 dated 2026-07-07

Title: Decorate a 'ggplot' with Associated Information
Description: Supports data-driven composition of a main plot with associated subplots that need precise axis alignment. Unlike general layout-focused tools such as 'cowplot' and 'patchwork', it enables related subplots to be integrated on the top, bottom, left, or right sides of a main plot with matched axes, so that the combined panels can be interpreted as a coherent whole. This design was inspired by the 'Method 2' described in 'ggtree' (G Yu (2018) <doi:10.1093/molbev/msy194>).
Author: Guangchuang Yu [aut, cre] , Shuangbin Xu [ctb] , Thomas Hackl [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package survrec readmission to version 2.0.0 with previous version 1.2-2 dated 2012-03-26

Title: Survival Analysis for Recurrent Event Data
Description: Estimation of the survival function of inter-occurrence times for recurrent event data, using the estimators of Peña, Strawderman and Hollander (2001) <doi:10.1198/016214501753381922> and Wang and Chang (1999) <doi:10.1080/01621459.1999.10473831>, and maximum likelihood estimation under a gamma frailty model. Includes bootstrap comparison of survival quantiles between groups.
Author: Dolors Pelegri-Siso [aut, cre] , Juan R. Gonzalez [aut], Edsel A. Pena [aut], Robert L. Strawderman [aut]
Maintainer: Dolors Pelegri-Siso <dolors.pelegri@isglobal.org>

This is a re-admission after prior archival of version 1.2-2 dated 2012-03-26

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Package NetSimR updated to version 0.3.1 with previous version 0.3.0 dated 2026-09-15

Title: Actuarial Functions for Non-Life Insurance Modelling
Description: Assists actuaries and other insurance modellers in pricing, reserving and capital modelling for non-life insurance and reinsurance modelling. Provides functions that help model excess levels, capping and pure Incurred but not reported claims (pure IBNR). Includes capped mean, exposure curves and increased limit factor curves (ILFs) for LogNormal, Gamma, Pareto, Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes mean, probability density function (pdf), cumulative probability function (cdf) and inverse cumulative probability function for Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes calculating pure IBNR exposure with LogNormal and Gamma distribution for reporting delay. Includes three 'shiny' tools: a claims simulator with reinsurance structures, a generalised linear model fitting tool, and a claims frequency and severity distribution fitting tool. Methods used in the package refer to Free for All by Yiannis Parizas (2023) <https://www. [...truncated...]
Author: Yiannis Parizas [aut, cre]
Maintainer: Yiannis Parizas <yiannis.parizas@gmail.com>

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Package OSCARS updated to version 0.2.1 with previous version 0.1.2 dated 2026-05-06

Title: Global Bounded Optimization by the OSCARS-II Algorithm
Description: A collection of general optimization routines based on variants of the One Side Cut Accelerated Random Search (OSCARS-II) algorithm (Price et al., 2020, <doi:10.1007/s10898-020-00928-6>). The main function , 'oscars()', performs black-box optimization of a general (including nonsmooth or discontinuous) function subject to simple bounds on the unknowns. If all bounds are finite, oscars searches globally. The main method implements a stochastic direct search method and is derivative free. Testing shows the OSCARS-II algorithm usually finds extrema with fewer function evaluations than similar global derivative-free methods.
Author: Chris Price [aut, cre], Trent McDonald [aut, ctb]
Maintainer: Chris Price <chrisj.price@canterbury.ac.nz>

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Package fragility updated to version 2.0 with previous version 1.6.1 dated 2025-01-23

Title: Assessing and Visualizing Fragility of Clinical Results
Description: A collection of user-friendly functions for assessing fragility of clinical results with binary and survival outcomes. For binary outcomes, the package assesses and visualizes fragility of individual studies (Walsh et al., 2014 <doi:10.1016/j.jclinepi.2013.10.019>; Lin, 2021 <doi:10.1111/jep.13428>), conventional pairwise meta-analyses (Atal et al., 2019 <doi:10.1016/j.jclinepi.2019.03.012>), and network meta-analyses of multiple treatments with binary outcomes (Xing et al., 2020 <doi:10.1016/j.jclinepi.2020.07.003>). The functions for binary outcomes are designed to: 1) calculate the fragility index (i.e., the minimal event status modifications that can alter the significance or non-significance of the original result) and fragility quotient (i.e., fragility index divided by sample size) at a specific significance level; 2) give the cases of event status modifications for altering the result's significance or non-significance and visualize these cases; 3) visua [...truncated...]
Author: Lifeng Lin [aut, cre] , Xing Xing [aut] , Jiayi Tong [aut] , Haitao Chu [aut]
Maintainer: Lifeng Lin <lifenglin@arizona.edu>

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Package binest updated to version 0.3-0 with previous version 0.2-1 dated 2026-06-08

Title: Estimation of Group Means and SDs from Binned Count Data
Description: Estimates group-level means and standard deviations from binned (coarsened) data, where only the number of cases in each of several ordered bins is observed and the underlying values are not. The main function, fast_hetop(), fits the heteroskedastic ordered probit model of Reardon, Shear, Castellano and Ho (2017) <doi:10.3102/1076998616666279> one group at a time, solving closed-form truncated-normal score equations instead of optimizing jointly over all groups. Runtime is therefore linear in the number of groups, so thousands of schools, districts or subgroups can be fitted in under a second. Cut scores may be supplied when an agency publishes them, or estimated from the data when it does not. Output includes standard errors and confidence intervals, an optional empirical Bayes shrinkage estimator, and a per-group goodness-of-fit test of the within-group normality assumption. Also included, and deprecated, are mle_hetop() and fh_hetop(), which fit the same model by joint maxim [...truncated...]
Author: Paul T. von Hippel [aut, cre], David J. Hunter [aut], J.R. Lockwood [aut]
Maintainer: Paul T. von Hippel <ph3828@eid.utexas.edu>

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Mon, 21 Sep 2026

Package spatstat.random updated to version 3.5-2 with previous version 3.5-1 dated 2026-07-27

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

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Package shinygenui updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-09

Title: Generative UI for 'shiny'
Description: Build interactive user interfaces for 'shiny' applications through a conversation with a large language model (LLM). Developers choose a set of reusable components, and the model arranges and updates those components as the user describes what they need. Each component's inputs are checked before it is shown, and the model supplies data rather than executable code. Applications can also save and replay the sequence of interface changes without contacting a model. For background on generative user interfaces, see Leviathan et al. (2026) <doi:10.48550/arXiv.2604.09577>.
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>

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Package ggmeta updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-22

Title: Publication-Quality Forest and Funnel Plots with 'ggplot2'
Description: A 'ggplot2' extension that creates publication-quality forest and funnel plots from 'meta' package objects or tidy data frames. Provides custom 'ggproto' geometries for study-level confidence intervals with weight-proportional squares, summary effect diamonds, prediction intervals, null-effect reference lines, and funnel-plot contours. Supports subgroup analysis, back-transformation of summary measures, on-the-fly effect pooling, effect and weight table columns, and journal-specific layout presets (JAMA, BMJ, RevMan5).
Author: Hercules R. Freitas [aut, cre, cph]
Maintainer: Hercules R. Freitas <hercules.freitas@uerj.br>

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Package foodwebr updated to version 1.1.0 with previous version 1.0.0 dated 2025-09-30

Title: Visualise Function Dependencies
Description: Easily create graphs of the inter-relationships between functions in an environment.
Author: Lewin Appleton-Fox [aut, cre]
Maintainer: Lewin Appleton-Fox <lewin.a.f@gmail.com>

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Package daoh updated to version 0.2.6 with previous version 0.1.0 dated 2026-06-19

Title: Days Alive and Out of Hospital (DAOH) Calculation
Description: Calculates Days Alive and Out of Hospital (DAOH) from administrative admission/discharge/mortality data using three algorithms (nights, days, exact) and three death-handling approaches (midday, midnight, zero). Includes tools for comparing methods (Bland-Altman, ICC, reclassification), and plotting.
Author: David Cumin [aut, cre]
Maintainer: David Cumin <d.cumin@auckland.ac.nz>

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Package PAMpal updated to version 1.6.1 with previous version 1.5.2 dated 2026-02-26

Title: Load and Process Passive Acoustic Data
Description: Tools for loading and processing passive acoustic data. Read in data that has been processed in 'Pamguard' (<https://www.pamguard.org/>), apply a suite processing functions, and export data for reports or external modeling tools. Parameter calculations implement methods by Oswald et al (2007) <doi:10.1121/1.2743157>, Griffiths et al (2020) <doi:10.1121/10.0001229> and Baumann-Pickering et al (2010) <doi:10.1121/1.3479549>.
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Emily Griffiths [ctb], Michael Oswald [ctb], Simone Baumann-Pickering [ctb], Julie Oswald [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package coursekata updated to version 0.21.0 with previous version 0.20.1 dated 2026-08-22

Title: Packages and Functions for 'CourseKata' Courses
Description: Easily install and load all packages and functions used in 'CourseKata' courses. Aid teaching with helper functions and augment generic functions to provide cohesion between the network of packages. Learn more about 'CourseKata' at <https://www.coursekata.org>.
Author: Adam Blake [cre, aut] , Ji Son [aut] , Jim Stigler [aut] , CourseKata [cph]
Maintainer: Adam Blake <adam@coursekata.org>

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Package TmCalculator updated to version 1.1.1 with previous version 1.1.0 dated 2026-09-14

Title: Genome-Wide Nucleic Acid Melting Temperature Profiling and Multi-Omics Integration
Description: Accurate calculation of nucleic acid melting temperature (Tm) is fundamental to many molecular biology applications, and this software scales Tm analysis from individual sequences to genome‑wide thermodynamic profiling. This package extends Tm analysis from simple sequence level computation to comprehensive genome-wide thermodynamic profiling. It takes four input sources: sequence strings, a FASTA file, an installed 'BSgenome' package named by string, or a 'GRanges' carrying sequences. A 'regions' argument selects what to cover and 'window' and 'slide' set the resolution at which it is tiled. The implementation provides three Tm calculation methods: the Wallace rule (Thein & Wallace, 1986), empirical GC‑content formulas (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001), and nearest‑neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1 [...truncated...]
Author: Junhui Li [cre, aut] , Lihua Julie Zhu [aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package PAMmisc updated to version 1.14.2 with previous version 1.13.0 dated 2026-04-04

Title: Miscellaneous Functions for Passive Acoustic Analysis
Description: A collection of miscellaneous functions for passive acoustics. Much of the content here is adapted to R from code written by other people. If you have any ideas of functions to add, please contact Taiki Sakai.
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Julie Oswald [ctb], Val Schmidt [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package GetLattesData updated to version 1.5.2 with previous version 1.5 dated 2024-05-04

Title: Reading Bibliometric Data from Lattes Platform
Description: A simple API for downloading and reading xml data directly from Lattes <http://lattes.cnpq.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package rollout updated to version 0.2.0 with previous version 0.1.0 dated 2026-01-13

Title: Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials
Description: Provides a unified framework for designing, simulating, and analyzing implementation rollout trials, including stepped wedge, sequential rollout, head-to-head, multi-condition, and rollout implementation optimization designs. The package enables users to flexibly specify rollout schedules, incorporate site-level and nested data structures, generate outcomes under rich hierarchical models, and evaluate analytic strategies through simulation-based power analysis. By separating data generation from model fitting, the tools support assessment of bias, Type I error, and robustness to model misspecification. The workflow integrates with standard mixed-effects modeling approaches and the tidyverse ecosystem, offering transparent and reproducible tools for implementation scientists and applied statisticians.
Author: Ian Cero [aut, cre] , C. Hendricks Brown [aut]
Maintainer: Ian Cero <ian_cero@urmc.rochester.edu>

Diff between rollout versions 0.1.0 dated 2026-01-13 and 0.2.0 dated 2026-09-21

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Package nlmixr2extra updated to version 5.2.1 with previous version 5.2.0 dated 2026-08-04

Title: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for support functions like preconditioned fits <doi:10.1208/s12248-016-9866-5>, boostrap and stepwise covariate selection.
Author: Matthew Fidler [aut, cre] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb], Bill Denney [aut] , Omar Elashkar [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2extra versions 5.2.0 dated 2026-08-04 and 5.2.1 dated 2026-09-21

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Package rsconnect updated to version 1.11.1 with previous version 1.11.0 dated 2026-08-25

Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs'
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Toph Allen [aut], Hadley Wickham [aut], Jonathan McPherson [aut], JJ Allaire [aut], Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>

Diff between rsconnect versions 1.11.0 dated 2026-08-25 and 1.11.1 dated 2026-09-21

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Package tclust updated to version 2.2-3 with previous version 2.2-0 dated 2026-04-26

Title: Robust Trimmed Clustering
Description: Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.
Author: Valentin Todorov [aut, cre] , Luis Angel Garcia Escudero [aut], Agustin Mayo Iscar [aut], Javier Crespo Guerrero [aut], Heinrich Fritz [aut]
Maintainer: Valentin Todorov <valentin@todorov.at>

Diff between tclust versions 2.2-0 dated 2026-04-26 and 2.2-3 dated 2026-09-21

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Package SCORPION updated to version 1.3.4 with previous version 1.3.3 dated 2026-09-02

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

Diff between SCORPION versions 1.3.3 dated 2026-09-02 and 1.3.4 dated 2026-09-21

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Package arf updated to version 0.2.5 with previous version 0.2.4 dated 2025-02-24

Title: Adversarial Random Forests
Description: Adversarial random forests (ARFs) recursively partition data into fully factorized leaves, where features are jointly independent. The procedure is iterative, with alternating rounds of generation and discrimination. Data becomes increasingly realistic at each round, until original and synthetic samples can no longer be reliably distinguished. This is useful for several unsupervised learning tasks, such as density estimation and data synthesis. Methods for both are implemented in this package. ARFs naturally handle unstructured data with mixed continuous and categorical covariates. They inherit many of the benefits of random forests, including speed, flexibility, and solid performance with default parameters. For details, see Watson et al. (2023) <https://proceedings.mlr.press/v206/watson23a.html>.
Author: Marvin N. Wright [aut, cre] , David S. Watson [aut] , Kristin Blesch [aut] , Jan Kapar [aut] , Lukas Burk [ctb] , Martin Jullum [ctb]
Maintainer: Marvin N. Wright <cran@wrig.de>

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Package rqti updated to version 1.3.0 with previous version 1.2.1 dated 2026-05-14

Title: Create Tests According to QTI 2.1 Standard
Description: Create tests and tasks compliant with the Question & Test Interoperability (QTI) information model version 2.1. Input sources are Rmd/md description files or S4-class objects. Output formats include standalone zip or xml files. Supports the generation of basic task types (single and multiple choice, order, pair association, matching tables, filling gaps and essay) and provides a comprehensive set of attributes for customizing tests.
Author: Andrey Shevandrin [aut, cre, cph] , Petr Bondarenko [ctb] , Ivonne Ojeda [ctb], Johannes Titz [aut, cph] , Brian Mottershead [cph] , Stiftung fuer Innovation in der Hochschullehre [fnd]
Maintainer: Andrey Shevandrin <shevandrin@gmail.com>

Diff between rqti versions 1.2.1 dated 2026-05-14 and 1.3.0 dated 2026-09-21

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Package CodeCarbonR updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-05

Title: Track Energy Consumption and Carbon Emissions of R Code
Description: Wraps the Python 'codecarbon' package via 'reticulate' to measure the energy consumption and estimated carbon emissions of R code. Provides a self-contained setup routine that installs 'codecarbon' into a dedicated conda environment, and an R-facing tracker API for measuring a block of code or a longer-running session.
Author: Beatrice Bock [aut, cre, cph] , Rachel Peterson [aut] , Dylan Van Bramer [aut]
Maintainer: Beatrice Bock <beabockm@gmail.com>

Diff between CodeCarbonR versions 0.1.0 dated 2026-09-05 and 0.1.1 dated 2026-09-21

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Permanent link

Package tulpa updated to version 0.5.0 with previous version 0.2.0 dated 2026-09-09

Title: Templated Unified Library for Posterior Approximation in Bayesian Hierarchical Models
Description: A general-purpose engine for fitting Bayesian hierarchical models with spatial fields, temporal effects, spatially varying coefficients, and multiple inference backends. Scalable spatial structure includes Hilbert space approximate Gaussian processes (HSGP; Riutort-Mayol et al. 2023 <doi:10.1007/s11222-022-10167-2>), nearest-neighbor Gaussian processes (NNGP; Datta et al. 2016 <doi:10.1080/01621459.2015.1044091>), intrinsic conditional autoregressive models (ICAR; Besag, York, and Mollie 1991 <doi:10.1007/BF00116466>), the reparameterized Besag-York-Mollie model (BYM2; Riebler et al. 2016 <doi:10.1177/0962280216660421>), and stochastic partial differential equation fields (SPDE; Lindgren, Rue, and Lindstrom 2011 <doi:10.1111/j.1467-9868.2011.00777.x>). Temporal structure covers random walks, autoregressive processes, and Gaussian processes. Inference is tiered by correctness guarantee: exact Hamiltonian Monte Carlo with the No-U-Turn sampler, Laplace and n [...truncated...]
Author: Gilles Colling [aut, cre, cph] , Frances Y. Kuo [ctb, cph] , Stephen Joe [ctb, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package PatientLevelPrediction updated to version 6.7.0 with previous version 6.6.0 dated 2026-03-09

Title: Develop Clinical Prediction Models Using the Common Data Model
Description: A user friendly way to create patient level prediction models using the Observational Medical Outcomes Partnership Common Data Model. Given a cohort of interest and an outcome of interest, the package can use data in the Common Data Model to build a large set of features. These features can then be used to fit a predictive model with a number of machine learning algorithms. This is further described in Reps (2017) <doi:10.1093/jamia/ocy032>.
Author: Egill Fridgeirsson [aut, cre], Jenna Reps [aut], Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Peter Rijnbeek [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Egill Fridgeirsson <e.fridgeirsson@erasmusmc.nl>

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Package mlstats updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-15

Title: Multilevel Descriptive Statistics and Data Preparation
Description: Provides tools for multilevel descriptive statistics and data preparation. Computes within-group and between-group correlations (via variance decomposition or two-level structural equation modeling), intraclass correlation coefficients (ICCs), and descriptive statistics for nested data (e.g., repeated measurements per person), supporting both frequentist (via 'lme4' or 'lavaan') and Bayesian (via 'brms') estimation. Results are formatted according to APA standards and can be exported as tables using 'gt' or 'tinytable'. Also includes functions for decomposing variables into within-group and between-group components for use in Random Effects Within-Between (REWB) models.
Author: Felix Dietrich [aut, cre, cph]
Maintainer: Felix Dietrich <mail@felix-dietrich.de>

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Package sensortowerR updated to version 2.0.0 with previous version 1.0.1 dated 2026-05-14

Title: Tidy Pipelines for the 'Sensor Tower' API
Description: Retrieves mobile app intelligence from the 'Sensor Tower' API <https://app.sensortower.com/api/docs/app_analysis>. Composes discovery, metadata, rankings, sales, audience and specialist estimates through ordinary data frames with explicit identifiers, units and error handling.
Author: Phillip Black [aut, cre]
Maintainer: Phillip Black <pblack@gameeconomistconsulting.com>

Diff between sensortowerR versions 1.0.1 dated 2026-05-14 and 2.0.0 dated 2026-09-21

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Package rmoriebricklayer updated to version 0.5.1 with previous version 0.5.0 dated 2026-09-16

Title: Reproducible Data Capsules with Provenance and Fallback
Description: Tools for building brick-proof, reproducible, self-contained data capsules. Resolves open-data sources through the Comprehensive Knowledge Archive Network ('CKAN', <https://ckan.org/>) package_show and package_search endpoints, records and verifies provenance with Secure Hash Algorithm 256 ('SHA-256') digests and Internet Archive 'Wayback Machine' (<https://web.archive.org/>) snapshots, validates downloaded data against a pinned schema, and falls back to schema-driven synthetic data when the real source is unreachable. Run records are captured in a manifest plus a plain-language summary so any result can be traced back to its inputs. Distributional drift between a pinned capsule and a fresh fetch is tested with Kolmogorov-Smirnov, chi-square, population stability index, Jensen-Shannon divergence and 'Benford' first-digit screens, because a re-released extract can be statistically identical yet differ byte-for-byte, and a column can keep its name and type while having been s [...truncated...]
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>

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Package ASMap readmission to version 1.1-0 with previous version 1.0-8 dated 2024-11-01

Title: Linkage Map Construction using the MSTmap Algorithm
Description: Functions for Accurate and Speedy linkage map construction, manipulation and diagnosis of Doubled Haploid, Backcross and Recombinant Inbred 'R/qtl' objects. This includes extremely fast linkage map clustering and optimal marker ordering using 'MSTmap' (see Wu et al.,2008).
Author: Julian Taylor [aut, cre], David Butler. [aut]
Maintainer: Julian Taylor <julian.taylor@adelaide.edu.au>

This is a re-admission after prior archival of version 1.0-8 dated 2024-11-01

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Package SteppedPower updated to version 0.4.0 with previous version 0.3.5 dated 2024-04-29

Title: Power Calculation for Stepped Wedge Designs
Description: Tools for power and sample size calculation as well as design diagnostics for longitudinal mixed model settings, with a focus on stepped wedge designs. All calculations are oracle estimates i.e. assume random effect variances to be known (or guessed) in advance. The method is introduced in Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007>, extensions are discussed in Li et al. (2020) <doi:10.1177/0962280220932962>.
Author: Philipp Mildenberger [aut, cre] , Federico Marini [ctb]
Maintainer: Philipp Mildenberger <pmildenb@uni-mainz.de>

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Package SelectionTools updated to version 26.4 with previous version 26.3 dated 2026-09-15

Title: Simulation and Data Analysis for Plant Breeders
Description: Provides tools for simulation of plant breeding programs as described, for example, by Melchinger and Frisch (2023) <doi:10.1007/s00122-023-04446-3>, prediction of segregation variance (Osthushenrich, Frisch and Herzog (2017) <doi:10.1371/journal.pone.0188839>), genomic prediction (Hofheinz and Frisch (2014) <doi:10.1534/g3.113.010025>), linkage disequilibrium based haplotype construction, and planning of marker assisted back crossing programs. It provides an integrated framework for simulation and analysis of plant breeding programs.
Author: Matthias Frisch [aut, cre], Hans Peter Maurer [ctb], Philipp Heilmann [ctb]
Maintainer: Matthias Frisch <matthias.frisch@uni-giessen.de>

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Package SCCDdesign updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-03

Title: Construction of Screening Designs for Mixed Level Continuous and Categorical Factors
Description: Constructs screening designs for experiments involving continuous and categorical factors with multiple levels. The package implements methods for constructing mixed-level screening designs, involving factors with more than two levels. It also evaluates the statistical performance of screening designs throughdev power to identify active effects and Type I error rates. The package implements three methods proposed by Jones, B., Lekivetz, R., Majumdar, D. and Nachtsheim, C. (2025) <doi:10.1080/00401706.2024.2362149> for generating efficient screening designs involving three-level continuous and two-level categorical factors for even run sizes. It also includes Paley Type I and Type II constructions for conference matrices and pseudo conference matrices obtained using the coordinate exchange algorithm by Jones, B. and Nachtsheim, C. J. (2011) <doi:10.1080/00224065.2011.11917841> which are used in the development of these screening designs.
Author: Vyshna I C [aut, cre], Cini Varghese [aut, ctb], Safeela Nasrin [aut], Boyina Devi Priyanka [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb]
Maintainer: Vyshna I C <vyshnaic@gmail.com>

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Package rmet updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-21

Title: Download and Read Brazilian Meteorological Data from INMET
Description: Automates the download and processing of historical weather data from the Brazilian National Institute of Meteorology (INMET). It provides a cached catalogue of automatic stations, resumable and validated downloads, and parsers for formatting inconsistencies in raw CSV files across different years. It removes structural artifacts, standardizes column names, parses timestamps, and returns data frames ready for analysis. Data are retrieved from <https://portal.inmet.gov.br/dadoshistoricos> and <https://apitempo.inmet.gov.br/estacoes/T>.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package rjd3toolkit updated to version 3.9.0 with previous version 3.8.0 dated 2026-07-08

Title: Utility Functions Around 'JDemetra+ 3.0'
Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to model time series (create outlier regressors, user-defined calendar regressors, Unobserved Components AutoRegressive Integrated Moving Average (UCARIMA) models...), to test the presence of trading days or seasonal effects and also to set specifications in pre-adjustment and benchmarking when using 'rjd3x13' or 'rjd3tramoseats'.
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art, cph], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

Diff between rjd3toolkit versions 3.8.0 dated 2026-07-08 and 3.9.0 dated 2026-09-21

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Package NonCompart updated to version 0.8.4 with previous version 0.8.3 dated 2026-08-21

Title: Noncompartmental Analysis for Pharmacokinetic Data
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) Use of CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Steady-state analysis over the dosing interval (AUCTAU, CAVG, CL and Vz from AUCTAU) 6) Installation/Operational Qualification (IQ/OQ) reports in pdf. After installation, qualify the package in your own environment: run IQNCA() for Installation Qualification and OQNCA() for Operational Qualification. Run writeMD5NCA() once after installation so the IQ file-integrity check passes. To approve a report, sign it digitally in Adobe Acrobat Reader (generate with sigField=TRUE, or run addSigFieldNCA(), to add click-to-sign fields), instead of printing and scanning; or use signPDFNCA()/verifyPDFNCA() for a scriptable signature. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data [...truncated...]
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between NonCompart versions 0.8.3 dated 2026-08-21 and 0.8.4 dated 2026-09-21

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Package GREENREG updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-29

Title: Tool for Statistical and Environmental Analysis
Description: Provides a set of accessible and automated functions to apply statistical models such as Simple Linear Regression (RLS, from the Spanish 'Regresión Lineal Simple'), Multiple Linear Regression (RLM, from the Spanish 'Regresión Lineal Múltiple'), Generalized Linear Models (GLM), and time series analysis through Autoregressive Integrated Moving Average (ARIMA) models. Designed to support teaching at the Universidad Autónoma Chapingo, it facilitates results interpretation and assumption validation through automatic graphical diagnostics. Developed as part of an undergraduate thesis at the Universidad Autónoma Chapingo, under the supervision of Dr. Julio César Buendía Espinoza (thesis advisor), with the participation of the thesis committee: Diego Ernesto Lira González (secretary), Israel Lerma Serna (member), Juan Uriel Avelar Roblero (alternate), and Elisa del Carmen Martínez Ochoa (alternate). Methods for regression and time series are based on Montgomery et al. (2021, ISBN:978-111957014 [...truncated...]
Author: Dayron Jared Bazan Guzman [aut, cre], Julio Cesar Buendia Espinoza [aut, ths] , Diego Ernesto Lira Gonzalez [ctb] , Israel Lerma Serna [ctb] , Juan Uriel Avelar Roblero [ctb] , Elisa del Carmen Martinez Ochoa [ctb]
Maintainer: Dayron Jared Bazan Guzman <dbazanguzman@gmail.com>

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Package fitdistrBayes updated to version 0.5.0 with previous version 0.2.3 dated 2026-09-09

Title: Objective Bayesian Distribution Fitting
Description: Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors, and supports user-defined distributions and priors through an extensible model specification. Model-specific posterior propriety and moment conditions are checked before computation when registered or supplied. Exact simulation, marginalization, slice sampling, adaptive Metropolis, and user-supplied posterior samplers share a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. A separate interface fits independently right-censored observations using the registered complete-data priors, observed-data likelihood sampling or data augmentation, with sufficient posterior-propriety checks. Optional post-processing provides WAIC, PSIS-LOO, and DIC for observed-data likelihoods. The reference-prior framework follows Bernardo (1979) <doi:10.1111/j.2517-6161.1979.tb01066.x>.
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>

Diff between fitdistrBayes versions 0.2.3 dated 2026-09-09 and 0.5.0 dated 2026-09-21

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Package fastFGEE updated to version 0.2.2 with previous version 0.2.0 dated 2026-09-15

Title: Fast Functional Generalized Estimating Equations via a One-Step Estimator
Description: Fits functional generalized estimating equations for longitudinal functional outcomes and covariates using a one-step estimator that is fast even for large cluster sizes or large numbers of clusters. The package supports quasi-likelihoods derived from a range of distributions, with substantial simulations run for quasi-likelihoods derived from Gaussian, binomial, Poisson, negative binomial, Gamma and beta families. It supports common link functions and several working correlation structures. An optimized engine constructs cluster score and sensitivity statistics in one pass, provides coefficient-space Gaussian cross-validation, analytic-gradient fast cluster cross-validation, and an experimental sandwich-scaled working restricted quasi-likelihood selector. Internal compiled routines provide symmetric positive-definite Cholesky solves and exact tridiagonal precision operations for irregularly sampled continuous-time AR(1) working correlations. Uncertainty quantification is based on sand [...truncated...]
Author: Gabriel Loewinger [aut, cre]
Maintainer: Gabriel Loewinger <gloewinger@gmail.com>

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Package epidatr updated to version 1.4.0 with previous version 1.3.0 dated 2026-08-28

Title: Client for Delphi's 'Epidata' API
Description: The Delphi 'Epidata' API provides real-time access to epidemiological surveillance data for influenza, 'COVID-19', and other diseases for the USA at various geographical resolutions, both from official government sources such as the Center for Disease Control (CDC) and Google Trends and private partners such as Facebook and Change 'Healthcare'. It is built and maintained by the Carnegie Mellon University Delphi research group. To cite this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API. <https://github.com/cmu-delphi/delphi-epidata>.
Author: Logan Brooks [aut], Dmitry Shemetov [aut], Samuel Gratzl [aut], David Weber [ctb, cre], Nat DeFries [ctb], Alex Reinhart [ctb], Daniel J. McDonald [ctb], Kean Ming Tan [ctb], Will Townes [ctb], George Haff [ctb], Kathryn Mazaitis [ctb]
Maintainer: David Weber <davidweb@andrew.cmu.edu>

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Package EDE updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-07

Title: Extinction Date Estimation from Sighting Records
Description: Estimates the historic date of extinction of a species from a time-ordered record of sighting events. Given a table of sighting counts per year, computes extinction date estimators from the sighting-record literature: optimal linear estimation and its Weibull extreme-value persistence test (Roberts & Solow, 2003; Solow, 2005), constant-rate and declining-rate persistence tests (Solow, 1993), a sighting-rate persistence test comparable across records with different observation periods (McInerny, Roberts, Davy & Cribb, 2006), a classical confidence interval on the end of a temporal range (Strauss & Sadler, 1989), a truncation-point extrapolation (Robson & Whitlock, 1964), and a combinatorial persistence test based on inclusion-exclusion over sighting-gap occupancy (Burgman, Grimson & Ferson, 1995). Also implements a nonparametric endpoint test (Solow & Roberts, 2003), a sighting-interval trend index (Jarić & Ebenhard, 2010), and reliability-adjusted inference [...truncated...]
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package charport updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-17

Title: ALTREP String Interoperability
Description: Provides infrastructure for interoperable ALTREP character vectors. Producers of ALTREP string classes can register access methods, allowing consumers to read supported character vectors through a common interface without materializing them as ordinary R strings. Also provides 'charvec', a reference ALTREP string implementation backed by stable memory slices, with support for efficient and multithreaded construction.
Author: Travers Ching [aut, cre, cph], R Consortium [fnd]
Maintainer: Travers Ching <traversc@gmail.com>

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Package censobr updated to version 1.0.0 with previous version 0.6.0 dated 2026-07-29

Title: Download Data from Brazil's Population Census
Description: Easy access to data from Brazil's population censuses. The package provides a simple and efficient way to download and read the data sets and the documentation of all the population censuses taken in and after 1960 in the country. The package is built on top of the 'Arrow' platform <https://arrow.apache.org/docs/r/>, which allows users to work with larger-than-memory census data using 'dplyr' familiar functions. <https://arrow.apache.org/docs/r/articles/arrow.html#analyzing-arrow-data-with-dplyr>.
Author: Rafael H. M. Pereira [aut, cre] , Rogerio J. Barbosa [aut] , Pedro Herculano Souza [ctb], Diego Rabatone Oliveira [ctb], Neal Richardson [ctb], Haydee Svab [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package predhy updated to version 2.1.3 with previous version 2.1.2 dated 2025-04-05

Title: Genomic Prediction of Hybrid Performance
Description: Performs genomic prediction of hybrid performance using eight statistical methods including GBLUP, BayesB, RKHS, PLS, LASSO, EN, LightGBM and XGBoost along with additive and additive-dominance models. Users are able to incorporate parental phenotypic information in all methods based on their specific needs. (Xu S et al(2017) <doi:10.1534/g3.116.038059>; Xu Y et al (2021) <doi: 10.1111/pbi.13458>).
Author: Yang Xu [aut, cre], Guangning Yu [aut], Yanru Cui [aut], Shizhong Xu [aut], Chenwu Xu [aut]
Maintainer: Yang Xu <xuyang_89@126.com>

Diff between predhy versions 2.1.2 dated 2025-04-05 and 2.1.3 dated 2026-09-21

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Package jordan updated to version 1.0-6-1 with previous version 1.0-6 dated 2024-07-04

Title: A Suite of Routines for Working with Jordan Algebras
Description: A Jordan algebra is an algebraic object originally designed to study observables in quantum mechanics. Jordan algebras are commutative but non-associative; they satisfy the Jordan identity. The package follows the ideas and notation of K. McCrimmon (2004, ISBN:0-387-95447-3) "A Taste of Jordan Algebras". To cite the package in publications, please use Hankin (2023) <doi:10.48550/arXiv.2303.06062>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between jordan versions 1.0-6 dated 2024-07-04 and 1.0-6-1 dated 2026-09-21

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Package pretestcad updated to version 1.2.0 with previous version 1.1.0 dated 2025-09-03

Title: Pretest Probability for Coronary Artery Disease
Description: An application to calculate a patient's pretest probability (PTP) for obstructive Coronary Artery Disease (CAD) from a collection of guidelines or studies. Guidelines usually comes from the American Heart Association (AHA), American College of Cardiology (ACC) or European Society of Cardiology (ESC). Examples of PTP scores that comes from studies are the 2020 Winther et al. basic, Risk Factor-weighted Clinical Likelihood (RF-CL) and Coronary Artery Calcium Score-weighted Clinical Likelihood (CACS-CL) models <doi:10.1016/j.jacc.2020.09.585>, 2019 Reeh et al. basic and clinical models <doi:10.1093/eurheartj/ehy806> and 2017 Fordyce et al. PROMISE Minimal-Risk Tool <doi:10.1001/jamacardio.2016.5501>. As diagnosis of CAD involves a costly and invasive coronary angiography procedure for patients, having a reliable PTP for CAD helps doctors to make better decisions during patient management. This ensures high risk patients can be diagnosed and treated early for CAD while [...truncated...]
Author: Jeremy Selva [aut, cre]
Maintainer: Jeremy Selva <jeremy1189.jjs@gmail.com>

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Package interflex updated to version 1.4.1 with previous version 1.4.0 dated 2026-04-10

Title: Estimation, Diagnostics and Visualization of Conditional Marginal Effects
Description: Performs estimation, diagnostics, and visualization of conditional marginal effects and group average treatment effects of a treatment on an outcome across different values of a moderator. Optionally integrates with the 'mlr3extralearners' package for additional machine learning backends compatible with the double machine learning estimators. 'mlr3extralearners' is not on CRAN but can be obtained from <https://github.com/mlr-org/mlr3extralearners>.
Author: Yiqing Xu [aut, cre], Jens Hainmueller [aut], Jonathan Mummolo [aut], Tianzhu Qin [aut], Jiehan Liu [aut], Ziyi Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package onls updated to version 0.2 with previous version 0.1-4 dated 2025-09-01

Title: Orthogonal Nonlinear Least-Squares Regression
Description: Fits n-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting. Delivers the same results as the 'ODRPACK' Fortran implementation described in Boggs et al. (1989) <doi:10.1145/76909.76913>, but is implemented in pure R.
Author: Andrej-Nikolai Spiess [aut, cre]
Maintainer: Andrej-Nikolai Spiess <draspiess@gmail.com>

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Package weibullness updated to version 2.26.9 with previous version 1.24.1 dated 2024-01-09

Title: Goodness-of-Fit Test for Weibull Distribution (Weibullness)
Description: Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) and furnishes parameter estimations for both the two-parameter and three-parameter Weibull distributions. Notably, the threshold parameter is derived through correlation from the Weibull plot. Additionally, this package conducts goodness-of-fit assessments for the exponential, Gumbel, and inverse Weibull distributions, accompanied by parameter estimations. For more details, see Park (2017) <doi:10.23055/ijietap.2017.24.4.2848>, Park (2018) <doi:10.1155/2018/6056975>, and Park (2023) <doi:10.3390/math11143156>. This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government (No. 2022R1A2C1091319).
Author: Chanseok Park [aut, cre]
Maintainer: Chanseok Park <statpnu@gmail.com>

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Sun, 20 Sep 2026

Package shinyglass updated to version 0.4.0 with previous version 0.3.0 dated 2026-09-09

Title: Liquid Glass Design Themes for 'shiny' Applications
Description: Provides drop-in Liquid Glass themes for 'shiny'. Call glass_theme() and pass the result as theme = to fluidPage(), navbarPage(), or any 'bslib'-aware page function to get translucent surfaces, backdrop blur, and system typography on 'Bootstrap' components. Includes light and dark presets with runtime switching and an OS-following 'auto' mode, an iOS-style intensity control from Ultra Clear to Tinted, optional persistence of the look, named wallpaper scenes, helpers to match 'ggplot2', 'plotly', 'gt', and 'DT' output to the glass pack, a flatten mode for print and screenshots, and documented CSS tokens.
Author: Eric Anderson [aut, cre, cph]
Maintainer: Eric Anderson <eric.ray.anderson@gmail.com>

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Package clinDR updated to version 2.5.3 with previous version 2.5.2 dated 2025-10-02

Title: Simulation and Analysis Tools for Clinical Dose Response Modeling
Description: Bayesian and ML Emax model fitting, graphics and simulation for clinical dose response. The summary data from the dose response meta-analyses in Thomas, Sweeney, and Somayaji (2014) <doi:10.1080/19466315.2014.924876> and Thomas and Roy (2016) <doi:10.1080/19466315.2016.1256229> Wu, Banerjee, Jin, Menon, Martin, and Heatherington(2017) <doi:10.1177/0962280216684528> are included in the package. The prior distributions for the Bayesian analyses default to the posterior predictive distributions derived from these references.
Author: Neal Thomas [aut, cre] , Jing Wu [aut], Mike K. Smith [aut], Budhaditya Goswami [aut], Satrajit Roychoudhury [aut]
Maintainer: Neal Thomas <snthomas99@gmail.com>

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Package radiant.model updated to version 1.6.12 with previous version 1.6.11 dated 2026-04-15

Title: Model Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package radiant.data updated to version 1.6.9 with previous version 1.6.8 dated 2025-09-16

Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Author: Vincent Nijs [aut, cre], Niklas von Hertzen [aut]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package gfunctions updated to version 1.3 with previous version 1.2 dated 2026-08-21

Title: G-Functions
Description: Modified versions of the lag() and summary() functions: glag() and gsummary(). The prefix 'g' is a reminder of who to blame if things do not work as they should.
Author: Genaro Sucarrat [aut, cre]
Maintainer: Genaro Sucarrat <gsucarrat@gmail.com>

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Package pilotr updated to version 0.3.1 with previous version 0.3.0 dated 2026-09-12

Title: Simulate Experimental and Behavioural Data from a Portable Design Specification
Description: Generative simulation of experimental and behavioural data sets from a portable JavaScript Object Notation (JSON) design specification shared with the 'Python' package of the same name. Supports user-specified fixed effect sizes, crossed by-subject and by-item random intercepts and slopes, predictors measured with error, realistic response families (Gaussian, lognormal, shifted lognormal, ex-Gaussian, Bernoulli, Poisson, ordinal and Beta), and simulation-based power and precision-based design analysis, including the Type S and Type M errors of Gelman and Carlin (2014) <doi:10.1177/1745691614551642> and a region of practical equivalence. A shared cross-language random-number generator means that, given the same specification and seed, the R and 'Python' implementations produce identical data: exactly for the Gaussian family and for any family with rounding set, and to within the last unit in the last place for families applying a transcendental function to the linear predictor, wh [...truncated...]
Author: Pablo Bernabeu [aut, cre]
Maintainer: Pablo Bernabeu <pcbernabeu@gmail.com>

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Package modeest updated to version 2.5.0 with previous version 2.4.0 dated 2019-11-18

Title: Mode Estimation
Description: Provides estimators of the mode of univariate data or univariate distributions.
Author: Paul Poncet [aut, cre]
Maintainer: Paul Poncet <paulponcet@yahoo.fr>

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Package observationalBlocks updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-10

Title: Block Designs for Observational Studies
Description: Creates block designs of fixed size J with at least one treated and control unit per block. Blocks larger than pairs better distinguish effects caused by a treatment from unmeasured confounding in assignment of individuals to treatment. Somewhat counterintuitively, blocks larger than pairs can use more units while attaining better covariate balance and block homogeneity. A forthcoming manuscript by Brumberg and Rosenbaum details the design.
Author: Katherine Brumberg [aut, cre] , Paul Rosenbaum [aut]
Maintainer: Katherine Brumberg <kbrum@umich.edu>

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Package tinyVAST readmission to version 1.6.3 with previous version 1.6.2 dated 2026-07-14

Title: Multivariate Spatio-Temporal Models using Structural Equations
Description: Fits a wide variety of multivariate spatio-temporal models with simultaneous and lagged interactions among variables (including vector autoregressive spatio-temporal ('VAST') dynamics) for areal, continuous, or network spatial domains. It includes time-variable, space-variable, and space-time-variable interactions using dynamic structural equation models ('DSEM') as expressive interface, and the 'mgcv' package to specify splines via the formula interface. See Thorson et al. (2025) <doi:10.1111/geb.70035> for more details.
Author: James T. Thorson [aut, cre] , Sean C. Anderson [aut]
Maintainer: James T. Thorson <James.Thorson@noaa.gov>

This is a re-admission after prior archival of version 1.6.2 dated 2026-07-14

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Package survobj updated to version 3.2.0 with previous version 3.1.1 dated 2024-08-16

Title: Simulate Parametric and Semi-Parametric Survival Times with Object-Oriented Design
Description: Simulate parametric and semi-parametric survival times through a consistent, reusable interface for each distribution, using an object-oriented design. Supported distributions include Exponential, Weibull, Gompertz, Log-Logistic, Log-Normal, and Piecewise Exponential. Random variates can be generated under Proportional Hazards, Accelerated Failure Time, and Extended Hazards models, as well as under renewal and non-homogeneous Poisson recurrent event processes, following the methods described by Bender (2003) <doi:10.5282/UBM/EPUB.1716> and Leemis (1987) in Operations Research, 35(6), 892-894.
Author: Aponte John [aut, cre, cph]
Maintainer: Aponte John <john.j.aponte@gmail.com>

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Package smoothemplik updated to version 0.0.18 with previous version 0.0.17 dated 2025-10-29

Title: Smoothed Empirical Likelihood
Description: Empirical likelihood methods for asymptotically efficient estimation of models based on conditional or unconditional moment restrictions; see Kitamura, Tripathi & Ahn (2004) <doi:10.1111/j.1468-0262.2004.00550.x> and Owen (2013) <doi:10.1002/cjs.11183>. Kernel-based non-parametric methods for density/regression estimation and numerical routines for empirical likelihood maximisation are implemented in 'Rcpp' for speed.
Author: Andrei Victorovitch Kostyrka [aut, cre]
Maintainer: Andrei Victorovitch Kostyrka <andrei.kostyrka@gmail.com>

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Package saeHB.Spatial.Beta updated to version 0.2.0 with previous version 0.1.1 dated 2026-08-24

Title: Small Area Estimation Hierarchical Bayes for Spatial Beta Model
Description: Provides several functions and datasets for area-level Small Area Estimation using the Hierarchical Bayesian (HB) method. Model-based estimators are designed for variables of interest that follow a Beta distribution (proportions bounded between 0 and 1). The package supports both non-spatial and spatial models based on Simultaneous Autoregressive (SAR) and Leroux Conditional Autoregressive (CAR) structures for area-level random effects, with optional survey design effect (DEFF) adjustments for sampling variances. In addition, it provides utility functions for constructing spatial weights matrices and performing spatial autocorrelation diagnostics. The 'runjags' package is used to obtain posterior estimates via Markov Chain Monte Carlo (MCMC) with parallel computing capabilities. For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Liu et al. (2014) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2014001/article/14030-eng.pdf>, Kubacki and Jedrzejczak (2016) [...truncated...]
Author: Boby Iwan [aut, cre], Cucu Sumarni [aut]
Maintainer: Boby Iwan <bobyiwanboby2122@gmail.com>

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Package profileR updated to version 0.3-6 with previous version 0.3-5 dated 2018-04-19

Title: Profile Analysis of Multivariate Data in R
Description: A suite of multivariate methods and data visualization tools to implement profile analysis and cross-validation techniques described in Davison & Davenport (2002) <DOI: 10.1037/1082-989X.7.4.468>, Bulut (2013), and other published and unpublished resources. The package includes routines to perform criterion-related profile analysis, profile analysis via multidimensional scaling, moderated profile analysis, generalizability theory, profile analysis by group, and a within-person factor model to derive score profiles.
Author: Okan Bulut [aut], Christopher David Desjardins [aut, cre]
Maintainer: Christopher David Desjardins <cddesjardins@gmail.com>

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Package PNADCperiods updated to version 0.1.3 with previous version 0.1.2 dated 2026-04-28

Title: Identify Reference Periods in Brazil's PNADC Survey Data
Description: Identifies reference periods (months, fortnights, and weeks) in Brazil's quarterly PNADC (Pesquisa Nacional por Amostra de Domicilios Continua) survey data and computes calibrated weights for sub-quarterly analysis. The core algorithm uses IBGE (Instituto Brasileiro de Geografia e Estatistica) 'Parada Tecnica' (technical break) rules combined with respondent birthdates to determine which temporal period each survey observation refers to. Period identification follows a nested hierarchy enforced by construction: fortnights require months, weeks require fortnights. Achieves approximately 97% monthly determination rate with the full series (2012-2025). Strict fortnight and week rates are approximately 9% and 3% respectively, as they cannot leverage cross-quarter panel aggregation. Experimental strategies (probabilistic assignment and UPA (Primary Sampling Unit) aggregation) further improve these determination rates. The package provides adaptive hierarchical weight calibration (4/2/1 cell [...truncated...]
Author: Rogerio Barbosa [aut, cre] , Marcos Hecksher [aut]
Maintainer: Rogerio Barbosa <rogerio.barbosa@iesp.uerj.br>

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Package huxtable updated to version 6.0.2 with previous version 6.0.1 dated 2026-09-15

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', 'PowerPoint', 'typst', SVG and PNG. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function to create regression tables, and 'quick_*' one-liners to print tables to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package capesR updated to version 0.2.0 with previous version 0.1.0 dated 2024-12-19

Title: Access to CAPES Data
Description: Provides simplified access to the data from the Catalog of Theses and Dissertations of the Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES, <https://catalogodeteses.capes.gov.br>) for the years 1987 through 2024. The dataset includes variables such as Higher Education Institution (institution), Area of Concentration (area), Graduate Program Name (program_name), Type of Work (type), Language of Work (language), Author Identification (author), Abstract (abstract), Advisor Identification (advisor), Development Region (region), State (state).
Author: Andre Leite [aut, cre], Hugo Vasconcelos Medeiros [aut], Dalson Figueiredo Filho [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package deriva updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-03

Title: Tidy Drift Detection for Monitored Machine Learning Models
Description: Detects concept drift and data drift in streams produced by deployed machine learning models, using a tidy interface that composes with the 'tidymodels' ecosystem. Detectors are specified, fitted on a baseline period, and advanced over new batches of observations, returning tibbles annotated with warning and drift flags. A catalogue of 22 sequential drift detectors is provided. Error-based methods include the Drift Detection Method (DDM) of Gama et al. (2004) <doi:10.1007/978-3-540-28645-5_29>, the Early Drift Detection Method (EDDM) of Baena-Garcia et al. (2006), the Hoeffding's inequality based Drift Detection Methods (HDDM) of Frias-Blanco et al. (2015) <doi:10.1109/TKDE.2014.2345382>, and the Exponentially Weighted Moving Average (EWMA) chart of Ross et al. (2012) <doi:10.1016/j.patrec.2011.08.019>. Distribution-based methods include Adaptive Windowing (ADWIN) of Bifet and Gavalda (2007) <doi:10.1137/1.9781611972771.42>, Kolmogorov-Smirnov Windowing (KSWIN) [...truncated...]
Author: Joao Paulo Assis Bonifacio [aut, cre] , Geraldo Magela da Cruz Pereira [aut] , Pedro Mambelli Fernandes [aut]
Maintainer: Joao Paulo Assis Bonifacio <jpab.27@hotmail.com>

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Package zmctp updated to version 0.1.3 with previous version 0.1.2 dated 2026-07-22

Title: Zero-Modified Complex 'Tri-Parametric' Pearson Distribution for Overdispersed Count Data
Description: Implements zero-modified versions of the Complex 'Tri-Parametric' Pearson distribution for overdispersed count data. The package addresses limitations of existing implementations when the parameter b approaches zero. It provides distribution functions, maximum likelihood estimation, and diagnostic tools for modeling count data with excess zeros. The methodology is based on 'Rodriguez-Avi' and coauthors (2003) <doi:10.1007/s00362-002-0134-7>.
Author: Rasheedat Oladoja [aut, cre]
Maintainer: Rasheedat Oladoja <roladoja@ttu.edu>

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Package pmxcode updated to version 0.3.2 with previous version 0.3.1 dated 2025-09-07

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 mixture updated to version 2.2.1 with previous version 2.2.0 dated 2025-12-18

Title: Mixture Models for Clustering and Classification
Description: An implementation of 14 parsimonious mixture models for model-based clustering or model-based classification. Gaussian, Student's t, generalized hyperbolic, variance-gamma or skew-t mixtures are available. All approaches work with missing data. Celeux and Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>, Browne and McNicholas (2014) <doi:10.1007/s11634-013-0139-1>, Browne and McNicholas (2015) <doi:10.1002/cjs.11246>.
Author: Nik Pocuca [aut] , Ryan P. Browne [aut] , Paul D. McNicholas [aut, cre] , Alexa A. Sochaniwsky [aut]
Maintainer: Paul D. McNicholas <mcnicholas@math.mcmaster.ca>

Diff between mixture versions 2.2.0 dated 2025-12-18 and 2.2.1 dated 2026-09-20

 ChangeLog                       |    3 +
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Package Ruido updated to version 1.1.1 with previous version 1.1.0 dated 2026-09-01

Title: Soundscape Spectral Metrics
Description: Accessible and flexible implementation of spectral ecoacoustic indices. The functions were design to accommodate a variety of sampling designs. Users can tailor calculations by specifying spectrogram time bin size, amplitude thresholds and normality tests. By simplifying computation and standardizing reproducible methods, the package aims to support ecoacoustics studies.
Author: Arthur Igor da Fonseca-Freire [aut, cre, cph], Weslley Geremias dos Santos [aut], Lucas Rodriguez Forti [aut]
Maintainer: Arthur Igor da Fonseca-Freire <arthur.igorr@gmail.com>

Diff between Ruido versions 1.1.0 dated 2026-09-01 and 1.1.1 dated 2026-09-20

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Package qol updated to version 1.3.5 with previous version 1.3.4 dated 2026-08-21

Title: Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs
Description: The main goal is to make descriptive evaluations easier to create bigger and more complex outputs in less time with less code. Introducing format containers with multilabels <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p06ciqes4eaqo6n0zyqtz9p21nfb.htm>, a more powerful summarise which is capable to output every possible combination of the provided grouping variables in one go <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p0jvbbqkt0gs2cn1lo4zndbqs1pe.htm>, tabulation functions which can create any table in different styles <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/n1ql5xnu0k3kdtn11gwa5hc7u435.htm> and other more readable functions. The code is optimized to work fast even with datasets of over a million observations.
Author: Tim Siebenmorgen [aut, cre, cph]
Maintainer: Tim Siebenmorgen <qol_package@proton.me>

Diff between qol versions 1.3.4 dated 2026-08-21 and 1.3.5 dated 2026-09-20

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Package usedthese updated to version 0.5.1 with previous version 0.5.0 dated 2024-06-26

Title: Summarises Package & Function Usage
Description: Consistent with 'knitr' syntax highlighting, 'usedthese' adds a summary table of package & function usage to a Quarto document and enables aggregation of usage across a website.
Author: Carl Goodwin [aut, cre, cph]
Maintainer: Carl Goodwin <carl.goodwin@quantumjitter.com>

Diff between usedthese versions 0.5.0 dated 2024-06-26 and 0.5.1 dated 2026-09-20

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 tests/testthat/_snaps/used_there.md |   13 +++++-
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More information about usedthese at CRAN
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Package StepReg updated to version 1.6.8 with previous version 1.6.7 dated 2026-08-31

Title: A Comprehensive and Intuitive R Package for Stepwise Regression Analysis
Description: Stepwise regression is a statistical technique used for model selection. This package streamlines stepwise regression analysis by supporting multiple regression types(linear, Cox, logistic, Poisson, Gamma, and negative binomial), incorporating popular selection strategies(forward, backward, bidirectional, and subset), and offering essential metrics. It enables users to apply multiple selection strategies and metrics in a single function call, visualize variable selection processes, and export results in various formats. StepReg offers a data-splitting option to address potential issues with invalid statistical inference and a randomized forward selection option to avoid overfitting. We validated StepReg's accuracy using public datasets within the SAS software environment. For an interactive web interface, users can install the companion 'StepRegShiny' package. The methodology is described in Li et al. (2026) <doi:10.32614/RJ-2026-005>.
Author: Junhui Li [cre, aut] , Kai Hu [aut], Xiaohuan Lu [aut], Sushmita N Nayak [ctb, aut], Cesar Bautista Sotelo [ctb, aut], Michael A Lodato [ctb, aut], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>

Diff between StepReg versions 1.6.7 dated 2026-08-31 and 1.6.8 dated 2026-09-20

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More information about StepReg at CRAN
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Package statAfrikR updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-03

Title: Statistical Tools for African National Statistics Institutes
Description: A comprehensive statistical toolbox for National Statistics Institutes (INS) in Africa. Provides functions for survey data import ('KoboToolbox', 'ODK', 'CSPro', 'Excel', 'Stata', 'SPSS'), data processing and validation, weighted statistical analysis (descriptive statistics, cross-tabulations, regression, Human Development Index (HDI), Multidimensional Poverty Index (MPI) following Alkire and Foster (2011) <doi:10.1093/oep/gpr051>, inequalities), visualization (age pyramids, thematic maps, official charts) and dissemination ('SDMX' export, 'DDI' metadata, anonymization, Word/PDF reports). Designed to work in resource-constrained environments, offline and in French.
Author: Dikers Amoko [aut, cre, ctb], Josue Honore Dasse [ctb]
Maintainer: Dikers Amoko <diamoko@gmail.com>

Diff between statAfrikR versions 0.1.0 dated 2026-04-03 and 0.2.0 dated 2026-09-20

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More information about statAfrikR at CRAN
Permanent link

Package ctoclient updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-28

Title: A Modern and Flexible Data Pipeline for 'SurveyCTO'
Description: A modern and flexible R client for the 'SurveyCTO', a mobile and offline data collection platform, providing a modern and consistent interface for programmatic access to server resources. Built on top of the 'httr2' package, it enables secure and efficient data retrieval and returns analysis-ready data through optional tidying. It includes functions to create, upload, and download server datasets, in addition to fetching form data, files, and submission attachments. Robust authentication and request handling make the package suitable for automated survey monitoring and downstream analysis.
Author: Gutama Girja Urago [aut, cre, cph]
Maintainer: Gutama Girja Urago <girjagutama@gmail.com>

Diff between ctoclient versions 0.1.0 dated 2026-03-28 and 0.2.0 dated 2026-09-20

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Package isotracer readmission to version 1.1.9 with previous version 1.1.8 dated 2025-03-07

Title: Isotopic Tracer Analysis Using MCMC
Description: Implements Bayesian models to analyze data from tracer addition experiments. The implemented method was originally described in the article "A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments" by López-Sepulcre et al. (2020) <doi:10.1086/708546>.
Author: Andres Lopez-Sepulcre [aut] , Matthieu Bruneaux [aut, cre]
Maintainer: Matthieu Bruneaux <matthieu.bruneaux@gmail.com>

This is a re-admission after prior archival of version 1.1.8 dated 2025-03-07

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Package sfsmisc updated to version 1.1-26 with previous version 1.1-25 dated 2026-08-03

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] , Werner Stahel [ctb] , f.robftest, last, p.scales, p.dnorm), Andreas Ruckstuhl [ctb] , p.profileTraces, p.res.2x), Christian Keller [ctb] , p.tachoPlot), Kjetil Halvorsen [ctb] , ecdf.ksCI), Alain Hauser [ctb] , is.whole, [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package soundgen updated to version 3.0.0 with previous version 2.9.0 dated 2026-02-24

Title: Sound Synthesis and Acoustic Analysis
Description: Parametric source-filter synthesis of harmonic-noise signals, such as animal vocalizations and human voice, with control over pitch, formants, noise, amplitude modulation, nonlinear phenomena, and morphing. General signal processing tools for audio analysis and manipulation: pitch tracking, formant and vocal tract length estimation, reassigned and auditory spectrograms, modulation spectra and psychoacoustic roughness, self-similarity and surprisal, audio segmentation, pitch and formant shifting, etc. Includes four interactive web apps for audio synthesis, annotation, formant analysis, and manually correcting pitch contours. Reference: Anikin (2019) <doi:10.3758/s13428-018-1095-7>.
Author: Andrey Anikin [aut, cre]
Maintainer: Andrey Anikin <andrey.anikin@cogsci.se>

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 soundgen-3.0.0/soundgen/MD5                                                     |  613 --
 soundgen-3.0.0/soundgen/NAMESPACE                                               |   51 
 soundgen-3.0.0/soundgen/NEWS                                                    |  100 
 soundgen-3.0.0/soundgen/R/SSM.R                                                 |  737 +-
 soundgen-3.0.0/soundgen/R/am.R                                                  |  599 +-
 soundgen-3.0.0/soundgen/R/amplitude.R                                           |  684 +-
 soundgen-3.0.0/soundgen/R/analyze.R                                             | 1137 ++--
 soundgen-3.0.0/soundgen/R/analyze_utilities.R                                   |  258 -
 soundgen-3.0.0/soundgen/R/apps.R                                                |  234 
 soundgen-3.0.0/soundgen/R/audSpectrogram.R                                      |only
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 soundgen-3.0.0/soundgen/R/data.R                                                |   67 
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 soundgen-3.0.0/soundgen/R/duration.R                                            |   32 
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 soundgen-3.0.0/soundgen/R/formants.R                                            | 1208 ++--
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 soundgen-3.0.0/soundgen/R/invertSpectrogram.R                                   |  259 -
 soundgen-3.0.0/soundgen/R/io.R                                                  |  850 ++-
 soundgen-3.0.0/soundgen/R/loudness.R                                            |  647 +-
 soundgen-3.0.0/soundgen/R/loudness_utilities.R                                  |  212 
 soundgen-3.0.0/soundgen/R/math.R                                                | 1712 ++----
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 soundgen-3.0.0/soundgen/R/modulationSpectrum.R                                  | 1120 ++--
 soundgen-3.0.0/soundgen/R/modulationSpectrum_utilities.R                        |  793 +--
 soundgen-3.0.0/soundgen/R/morph.R                                               |  236 
 soundgen-3.0.0/soundgen/R/morph_utilities.R                                     |   74 
 soundgen-3.0.0/soundgen/R/naiveBayes.R                                          |  629 +-
 soundgen-3.0.0/soundgen/R/noiseRemoval.R                                        |  207 
 soundgen-3.0.0/soundgen/R/osc.R                                                 |  198 
 soundgen-3.0.0/soundgen/R/phasegram.R                                           |  883 ++-
 soundgen-3.0.0/soundgen/R/pitchDescriptives.R                                   |  335 -
 soundgen-3.0.0/soundgen/R/pitchTrackers.R                                       |  810 +--
 soundgen-3.0.0/soundgen/R/pitch_postprocessing.R                                | 1403 ++---
 soundgen-3.0.0/soundgen/R/postprocessing.R                                      |  755 +-
 soundgen-3.0.0/soundgen/R/presets.R                                             |   68 
 soundgen-3.0.0/soundgen/R/prosody.R                                             |  181 
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 soundgen-3.0.0/soundgen/R/soundgen.R                                            | 1285 ++---
 soundgen-3.0.0/soundgen/R/soundgen_utilities.R                                  |  794 ++-
 soundgen-3.0.0/soundgen/R/source.R                                              | 1099 +---
 soundgen-3.0.0/soundgen/R/spectralDescr.R                                       |  522 --
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 soundgen-3.0.0/soundgen/R/surprisal.R                                           | 1143 ++--
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 soundgen-3.0.0/soundgen/R/timeStretch.R                                         |  116 
 soundgen-3.0.0/soundgen/R/vtl.R                                                 |  367 -
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 soundgen-3.0.0/soundgen/inst/shiny/formant_app/www/formant_app.css              |   41 
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 soundgen-3.0.0/soundgen/inst/shiny/pitch_app/server.R                           |  320 -
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 soundgen-3.0.0/soundgen/inst/shiny/pitch_app/www/pitch_app.js                   |    7 
 soundgen-3.0.0/soundgen/inst/shiny/pitch_app/www/pitch_app_shinyjs.js           |  129 
 soundgen-3.0.0/soundgen/inst/shiny/soundgen_main/server.R                       |  502 +
 soundgen-3.0.0/soundgen/inst/shiny/soundgen_main/ui.R                           |  409 -
 soundgen-3.0.0/soundgen/man/HzToOther.Rd                                        |   59 
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 soundgen-3.0.0/soundgen/man/addFormants.Rd                                      |  163 
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 soundgen-3.0.0/soundgen/man/annotation_app.Rd                                   |   37 
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 soundgen-3.0.0/soundgen/man/clumper.Rd                                          |   23 
 soundgen-3.0.0/soundgen/man/compareSounds.Rd                                    |  318 -
 soundgen-3.0.0/soundgen/man/crossFade.Rd                                        |  100 
 soundgen-3.0.0/soundgen/man/detectNLP.Rd                                        |  104 
 soundgen-3.0.0/soundgen/man/detectNLP_training_nonv.Rd                          |   15 
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 soundgen-3.0.0/soundgen/man/estimateVTL.Rd                                      |   47 
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 soundgen-3.0.0/soundgen/man/figures/s.mp3                                       |binary
 soundgen-3.0.0/soundgen/man/filterSoundByMS.Rd                                  |  347 -
 soundgen-3.0.0/soundgen/man/findPeaks.Rd                                        |   45 
 soundgen-3.0.0/soundgen/man/flatEnv.Rd                                          |   63 
 soundgen-3.0.0/soundgen/man/formant_app.Rd                                      |   43 
 soundgen-3.0.0/soundgen/man/gaussianSmooth2D.Rd                                 |   67 
 soundgen-3.0.0/soundgen/man/generateNoise.Rd                                    |  174 
 soundgen-3.0.0/soundgen/man/getBandwidth.Rd                                     |    5 
 soundgen-3.0.0/soundgen/man/getDuration.Rd                                      |   20 
 soundgen-3.0.0/soundgen/man/getEntropy.Rd                                       |   25 
 soundgen-3.0.0/soundgen/man/getEnv.Rd                                           |   59 
 soundgen-3.0.0/soundgen/man/getFormantFilter.Rd                                 |only
 soundgen-3.0.0/soundgen/man/getHNR.Rd                                           |  102 
 soundgen-3.0.0/soundgen/man/getIntegerRandomWalk.Rd                             |    9 
 soundgen-3.0.0/soundgen/man/getLoudness.Rd                                      |  196 
 soundgen-3.0.0/soundgen/man/getPeakFreq.Rd                                      |   72 
 soundgen-3.0.0/soundgen/man/getPitchZc.Rd                                       |   42 
 soundgen-3.0.0/soundgen/man/getRMS.Rd                                           |   70 
 soundgen-3.0.0/soundgen/man/getRandomWalk.Rd                                    |   17 
 soundgen-3.0.0/soundgen/man/getRolloff.Rd                                       |  123 
 soundgen-3.0.0/soundgen/man/getRoughness.Rd                                     |only
 soundgen-3.0.0/soundgen/man/getSharpness.Rd                                     |only
 soundgen-3.0.0/soundgen/man/getSmoothContour.Rd                                 |   98 
 soundgen-3.0.0/soundgen/man/getSpec.Rd                                          |only
 soundgen-3.0.0/soundgen/man/getSpecEnv.Rd                                       |only
 soundgen-3.0.0/soundgen/man/getSurprisal.Rd                                     |  436 +
 soundgen-3.0.0/soundgen/man/hilbert_exact.Rd                                    |only
 soundgen-3.0.0/soundgen/man/interpolMatrix.Rd                                   |   34 
 soundgen-3.0.0/soundgen/man/interpolate.Rd                                      |  170 
 soundgen-3.0.0/soundgen/man/interpolateNA.Rd                                    |only
 soundgen-3.0.0/soundgen/man/invertSpectrogram.Rd                                |   93 
 soundgen-3.0.0/soundgen/man/matchPars.Rd                                        |   98 
 soundgen-3.0.0/soundgen/man/mixAtSNR.Rd                                         |only
 soundgen-3.0.0/soundgen/man/modulationSpectrum.Rd                               |  486 +
 soundgen-3.0.0/soundgen/man/morph.Rd                                            |   30 
 soundgen-3.0.0/soundgen/man/naiveBayes.Rd                                       |   69 
 soundgen-3.0.0/soundgen/man/noiseRemoval.Rd                                     |  111 
 soundgen-3.0.0/soundgen/man/normalizeFolder.Rd                                  |   67 
 soundgen-3.0.0/soundgen/man/osc.Rd                                              |   63 
 soundgen-3.0.0/soundgen/man/phasegram.Rd                                        |  147 
 soundgen-3.0.0/soundgen/man/pitchDescriptives.Rd                                |   64 
 soundgen-3.0.0/soundgen/man/pitchSmoothPraat.Rd                                 |   21 
 soundgen-3.0.0/soundgen/man/pitch_app.Rd                                        |   58 
 soundgen-3.0.0/soundgen/man/playme.Rd                                           |   38 
 soundgen-3.0.0/soundgen/man/plotMS.Rd                                           |   47 
 soundgen-3.0.0/soundgen/man/presets.Rd                                          |    3 
 soundgen-3.0.0/soundgen/man/prosody.Rd                                          |   96 
 soundgen-3.0.0/soundgen/man/reportCI.Rd                                         |   29 
 soundgen-3.0.0/soundgen/man/reportTime.Rd                                       |    8 
 soundgen-3.0.0/soundgen/man/resample.Rd                                         |  109 
 soundgen-3.0.0/soundgen/man/reverb.Rd                                           |   94 
 soundgen-3.0.0/soundgen/man/rnorm_truncated.Rd                                  |   34 
 soundgen-3.0.0/soundgen/man/schwa.Rd                                            |   46 
 soundgen-3.0.0/soundgen/man/segment.Rd                                          |  328 -
 soundgen-3.0.0/soundgen/man/segment_ann.Rd                                      |only
 soundgen-3.0.0/soundgen/man/shiftFormants.Rd                                    |  124 
 soundgen-3.0.0/soundgen/man/shiftPitch.Rd                                       |  221 
 soundgen-3.0.0/soundgen/man/soundgen-package.Rd                                 |   28 
 soundgen-3.0.0/soundgen/man/soundgen.Rd                                         |  559 +-
 soundgen-3.0.0/soundgen/man/soundgen_app.Rd                                     |   16 
 soundgen-3.0.0/soundgen/man/specToMS.Rd                                         |   65 
 soundgen-3.0.0/soundgen/man/specToMS_1D.Rd                                      |   41 
 soundgen-3.0.0/soundgen/man/spectrogram.Rd                                      |  257 -
 soundgen-3.0.0/soundgen/man/spectrum.Rd                                         |only
 soundgen-3.0.0/soundgen/man/speechEx.Rd                                         |only
 soundgen-3.0.0/soundgen/man/ssm.Rd                                              |  181 
 soundgen-3.0.0/soundgen/man/stft_simple.Rd                                      |only
 soundgen-3.0.0/soundgen/man/timeStretch.Rd                                      |   61 
 soundgen-3.0.0/soundgen/man/transplantEnv.Rd                                    |   39 
 soundgen-3.0.0/soundgen/man/transplantFormants.Rd                               |  184 
 soundgen-3.0.0/soundgen/man/winFun.Rd                                           |only
 427 files changed, 24035 insertions(+), 20894 deletions(-)

More information about soundgen at CRAN
Permanent link

Package PUMP updated to version 1.0.5 with previous version 1.0.4 dated 2025-03-12

Title: Power Under Multiplicity Project
Description: Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <doi:10.18637/jss.v108.i06>.
Author: Luke Miratrix [aut, cre] , Kristen Hunter [aut] , Zarni Htet [aut], Kristin Porter [aut], MDRC [cph], Institute of Education Sciences [fnd]
Maintainer: Luke Miratrix <luke_miratrix@gse.harvard.edu>

Diff between PUMP versions 1.0.4 dated 2025-03-12 and 1.0.5 dated 2026-09-20

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Package BOLDconnectR updated to version 1.0.3 with previous version 1.0.2 dated 2026-08-19

Title: Retrieve, Transform and Analyze the Barcode of Life Data Systems Data
Description: Facilitates retrieval, transformation and analysis of the data from the Barcode of Life Data Systems (BOLD) database <https://boldsystems.org/>. This package allows both public and private user data to be easily downloaded into the R environment using a variety of inputs such as: IDs (processid, sampleid), BINs, dataset codes, project codes, taxonomy, geography etc. It provides frictionless data conversion into formats compatible with other R-packages and third-party tools, as well as functions for sequence alignment & clustering, biodiversity analysis and spatial mapping.
Author: Sameer Padhye [aut, cre], Liliana Ballesteros-Mejia [aut], Timothy Agda [aut], Jireh Agda [aut], Sujeevan Ratnasingham [aut]
Maintainer: Sameer Padhye <spadhye@uoguelph.ca>

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More information about BOLDconnectR at CRAN
Permanent link

Package rvinecopulib updated to version 1.0.0.1.0 with previous version 0.7.3.1.0 dated 2025-06-13

Title: High Performance Algorithms for Vine Copula Modeling
Description: Provides an interface to 'vinecopulib', a C++ library for vine copula modeling. The 'rvinecopulib' package implements the core features of the popular 'VineCopula' package, in particular inference algorithms for both vine copula and bivariate copula models. Advantages over 'VineCopula' are a sleeker and more modern API, improved performances, especially in high dimensions, nonparametric and multi-parameter families, and the ability to model discrete variables. The 'rvinecopulib' package includes 'vinecopulib' as header-only C++ library (currently version 1.0.0). Thus users do not need to install 'vinecopulib' itself in order to use 'rvinecopulib'. Since their initial releases, 'vinecopulib' is licensed under the MIT License, and 'rvinecopulib' is licensed under the GNU GPL version 3.
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <info@vinecopulib.org>

Diff between rvinecopulib versions 0.7.3.1.0 dated 2025-06-13 and 1.0.0.1.0 dated 2026-09-20

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Permanent link

Package RprobitB updated to version 2.0.0 with previous version 1.2.0 dated 2025-08-25

Title: Bayesian Probit Choice Modeling
Description: Fits Bayesian probit models for binary, multinomial, ordered, and ranked choices in cross-sectional and panel data. Correlated or uncorrelated normal and log-normal random coefficients, finite mixtures, sparse finite mixtures, and Dirichlet process mixtures describe preference heterogeneity. Multiple Gibbs chains produce posterior draws for diagnostics and choice prediction. Empirical model data can be supplied as a data frame or simulated from the requested specification. For an overarching treatment of the methodology, see Oelschlaeger (2026) <https://pub.uni-bielefeld.de/record/3014719>. The latent-class model is described in Oelschlaeger and Bauer (2021) <https://trid.trb.org/view/1759753>.
Author: Lennart Oelschlaeger [aut, cre] , Dietmar Bauer [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package nlmixr2est updated to version 7.1.0 with previous version 7.0.2 dated 2026-08-04

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Wenping Wang [aut], Audrey Lavenu [ctb], Ben Goodrich [ctb], David Ardia [cph], Dirk Eddelbuettel [cph], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Hadley Wickham [ctb], Hajar Besbassi [ctb], Hidde van de Beek [ctb], [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2est versions 7.0.2 dated 2026-08-04 and 7.1.0 dated 2026-09-20

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 nlmixr2est-7.1.0/nlmixr2est/R/bobyqa.R                                                   |  372 
 nlmixr2est-7.1.0/nlmixr2est/R/broom.R                                                    |   75 
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 nlmixr2est-7.1.0/nlmixr2est/R/foce.R                                                     |   70 
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 nlmixr2est-7.1.0/nlmixr2est/R/iagq.R                                                     |   14 
 nlmixr2est-7.1.0/nlmixr2est/R/ifoce.R                                                    |   12 
 nlmixr2est-7.1.0/nlmixr2est/R/ifocei.R                                                   |   10 
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 nlmixr2est-7.1.0/nlmixr2est/R/ilaplace.R                                                 |   14 
 nlmixr2est-7.1.0/nlmixr2est/R/imp.R                                                      |   21 
 nlmixr2est-7.1.0/nlmixr2est/R/impPsis.R                                                  |   43 
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 nlmixr2est-7.1.0/nlmixr2est/R/laplace.R                                                  |   75 
 nlmixr2est-7.1.0/nlmixr2est/R/lbfgsb3c.R                                                 |  391 
 nlmixr2est-7.1.0/nlmixr2est/R/magq.R                                                     |   14 
 nlmixr2est-7.1.0/nlmixr2est/R/md5.R                                                      |    4 
 nlmixr2est-7.1.0/nlmixr2est/R/mfoce.R                                                    |   12 
 nlmixr2est-7.1.0/nlmixr2est/R/mfocei.R                                                   |   10 
 nlmixr2est-7.1.0/nlmixr2est/R/mfocep.R                                                   |   64 
 nlmixr2est-7.1.0/nlmixr2est/R/mix.R                                                      |  767 
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 nlmixr2est-7.1.0/nlmixr2est/R/n1qn1.R                                                    |  356 
 nlmixr2est-7.1.0/nlmixr2est/R/newuoa.R                                                   |  374 
 nlmixr2est-7.1.0/nlmixr2est/R/nlm.R                                                      |  938 
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 nlmixr2est-7.1.0/nlmixr2est/R/nlme.R                                                     |  423 
 nlmixr2est-7.1.0/nlmixr2est/R/nlmeRxUiGet.R                                              |  119 
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 nlmixr2est-7.1.0/nlmixr2est/R/nlmixr2_md5.R                                              |    2 
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 nlmixr2est-7.1.0/nlmixr2est/R/npag.R                                                     |   35 
 nlmixr2est-7.1.0/nlmixr2est/R/npb.R                                                      |   41 
 nlmixr2est-7.1.0/nlmixr2est/R/npde.R                                                     |   50 
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 nlmixr2est-7.1.0/nlmixr2est/R/pkpars.R                                                   |    3 
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 nlmixr2est-7.1.0/nlmixr2est/R/rstudio.R                                                  |    6 
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More information about nlmixr2est at CRAN
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Sat, 19 Sep 2026

Package geobr updated to version 2.1.0 with previous version 2.0.1 dated 2026-06-23

Title: Download Official Spatial Data Sets of Brazil
Description: Easy access to official spatial data sets of Brazil. The package offers a wide range of spatial data sets available at various geographic scales and for various years with harmonized attributes, projection and fixed topology. All functions allow for seamless integration sf, DuckDB and Arrow.
Author: Rafael H. M. Pereira [aut, cre] , Rogerio Jeronimo Barbosa [aut], Caio Nogueira Goncalves [ctb], Cecilia do Lago [ctb], Filipe Cavalcanti [ctb], Arthur Bazolli [ctb], Lucas Gelape [ctb], Rafael Lopes [ctb], Vinicius Oike [ctb], Paulo Henrique Fernand [...truncated...]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between geobr versions 2.0.1 dated 2026-06-23 and 2.1.0 dated 2026-09-19

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Package FastGP updated to version 1.4 with previous version 1.3 dated 2026-04-29

Title: Efficiently Using Gaussian Processes with Rcpp and RcppEigen
Description: Contains Rcpp and RcppEigen implementations of matrix operations useful for Gaussian process models, such as the inverse and determinant of a symmetric and positive-definite Toeplitz matrix, sampling from multivariate normal distributions, evaluation of the log-density of a multivariate normal vector, and Bayesian inference for latent variable Gaussian process models with elliptical slice sampling (Murray, Adams, and MacKay 2010).
Author: Giri Gopalan [aut, cre], Luke Bornn [aut]
Maintainer: Giri Gopalan <gopalan88@gmail.com>

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Package wdsmatch updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-11

Title: Weighted Double Score Matching for Survey-Weighted Causal Inference
Description: Implements weighted double score matching (WDSM) for estimating population-level causal effects from complex survey data. Combines propensity scores and prognostic scores with survey design weights for matching, survey-weighted imputation within match sets, and Hajek normalization to target the population average treatment effect (PATE) and the population average treatment effect on the treated (PATT). Supports both retrospective (treatment-dependent) and prospective (treatment-independent) sampling designs. Uses propensity probabilities and arm-specific prognostic scores for matching, with a complete quadratic bias correction in each arm's double score. Provides linearization-based multinomial replication variance estimates and centered normal Wald confidence intervals, retaining the original matching reuse coefficients without re-matching. Supplied scores can be held fixed for inference conditional on those scores. This weight-only interface does not encode survey strata, clusters, o [...truncated...]
Author: Yukang Zeng [aut, cre], Guangyu Tong [aut], Jiaqi Tong [aut], Haidong Lu [aut], Bhramar Mukherjee [aut], Fan Li [aut]
Maintainer: Yukang Zeng <ykzeng2019@gmail.com>

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Package tseLCA updated to version 1.1.0 with previous version 1.0.2 dated 2026-07-11

Title: Three-Step Estimation for Latent Class Analysis
Description: Implements BCH (Bolck-Croon-Hagenaars) <doi:10.1093/pan/mph001> and ML (Vermunt's maximum likelihood) <doi:10.1093/pan/mpq025> approaches for three-step estimation of latent class models with covariates and distal outcomes, following Bakk, Tekle & Vermunt (2013) <doi:10.1177/0081175012470644>, Bakk, Oberski & Vermunt (2014) <https://www.jstor.org/stable/24573086>, and Bakk & Kuha (2018) <doi:10.1007/s11336-017-9592-7>. Built on 'multilevLCA' (Lyrvall et al., 2025) <doi:10.1080/00273171.2025.2473935> for Step-1 measurement model estimation, this package extends it with support for Gaussian, Poisson, and binomial distal outcome families. Unlike 'poLCA', which relies on one-step estimation and cannot accommodate a measurement model from a different sample, this package uses a stepwise approach to prevent the structural model from influencing latent class formation. Implements correct sandwich variance estimation that propagates measurement u [...truncated...]
Author: Sam Lee [aut, cre, cph] , Jay Goodliffe [ctb]
Maintainer: Sam Lee <samlee@arizona.edu>

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Package srlars updated to version 3.1.0 with previous version 3.0.1 dated 2026-07-01

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

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Package SNMA updated to version 0.1.8 with previous version 0.1.7 dated 2026-08-26

Title: Stream Network Movement Analyses
Description: Calculating home ranges and movements of animals in complex stream environments is often challenging, and standard home range estimators do not apply. This package provides a series of tools for assessing movements in a stream network, such as calculating the total length of stream used, distances between points, and movement patterns over time. See Vignette for additional details. This package was originally released on 'GitHub' under the name 'SNM'. SNMA was developed for analyses in McKnight et al. (2025) <doi:10.3354/esr01442> which contains additional examples and information.
Author: Donald T. McKnight [aut, cre]
Maintainer: Donald T. McKnight <donald.mcknight@my.jcu.edu.au>

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Package rwig updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-21

Title: Wasserstein Index Generation (WIG) Model
Description: Efficient implementation of several Optimal Transport algorithms in Fangzhou Xie (2025) <doi:10.48550/arXiv.2504.08722> and the Wasserstein Index Generation (WIG) model in Fangzhou Xie (2020) <doi:10.1016/j.econlet.2019.108874>.
Author: Fangzhou Xie [aut, cre, cph]
Maintainer: Fangzhou Xie <fangzhou.xie@rutgers.edu>

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Package rtemis.core updated to version 0.4.6 with previous version 0.3.1 dated 2026-06-30

Title: Core Utilities for the 'rtemis' Ecosystem
Description: Utilities used across packages of the 'rtemis' ecosystem. Includes the msg() messaging system and the fmt() formatting system. Provides a library of 'S7' properties, test_* functions that return logical values, check_* functions that throw informative errors, and clean_* functions that return validated and coerced values. This code began as part of the 'rtemis' package (<doi:10.32614/CRAN.package.rtemis>).
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>

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Package rMosaic updated to version 0.2.0 with previous version 0.1.3 dated 2026-06-25

Title: R Bindings to the 'Mosaic' Visualization Framework
Description: Provides R bindings for 'Mosaic', a declarative grammar for linked, data-driven visualizations backed by 'DuckDB'. The package supplies 'htmlwidgets' and 'shiny' helpers for rendering 'Mosaic' specifications from R, including optional browser-side 'DuckDB-WASM' execution and selection export helpers for exploratory workflows.
Author: Timur Rizvanov [aut, cre], Edward C. Ruiz [aut], Ruben Dries [aut, rev], Dries Lab [fnd] , Boston University [fnd] )
Maintainer: Timur Rizvanov <timurr@bu.edu>

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Package rDeckgl updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-01

Title: R Bindings to 'Deck.gl'
Description: Provides R bindings for 'deck.gl', a 'WebGL' framework for rendering large interactive spatial and tabular visualizations. The package supplies 'htmlwidgets' and 'shiny' bindings, supports 'DuckDB'-backed data hydration, and bundles the JavaScript assets needed to render 'deck.gl' specifications from R.
Author: Timur Rizvanov [aut, cre], Edward C. Ruiz [aut], Ruben Dries [aut, rev], Dries Lab [fnd] , Boston University [fnd] )
Maintainer: Timur Rizvanov <timurr@bu.edu>

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Package nmw updated to version 0.6.0 with previous version 0.5.1 dated 2026-08-21

Title: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics
Description: This shows how 'NONMEM' (Beal SL, Sheiner LB, Boeckmann AJ, Bauer RJ. NONMEM 7.5 Users Guides. Icon plc, 2020) software works. 'NONMEM' classical estimation methods such as 'First Order (FO) approximation', 'First Order Conditional Estimation (FOCE)', and 'Laplacian approximation' are explained. Functions are also provided for post-run processing of NONMEM output files, generating PDF or Markdown diagnostic reports including objective function value analysis, parameter estimates, prediction and residual diagnostics, empirical Bayes estimate (EBE) analysis, input data summary, and individual pharmacokinetic parameter distributions. Helper utilities for building NONMEM-ready datasets from SDTM-style source tables are also included.
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package EstemPMM updated to version 0.5.0 with previous version 0.4.0 dated 2026-05-29

Title: Polynomial Maximization Method for Non-Gaussian Regression
Description: Implements the Polynomial Maximization Method ('PMM') for parameter estimation in linear and time series models when error distributions deviate from normality. The 'PMM2' variant achieves lower variance parameter estimates compared to ordinary least squares ('OLS') when errors exhibit significant skewness. The 'PMM3' variant (S=3) targets symmetric platykurtic error distributions, reducing variance when excess kurtosis is negative. Includes automatic method selection ('pmm_dispatch'), linear regression, 'AR'/'MA'/'ARMA'/'ARIMA' models, and bootstrap inference. Methodology described in Zabolotnii, Warsza, and Tkachenko (2018) <doi:10.1007/978-3-319-77179-3_75>, Zabolotnii, Tkachenko, and Warsza (2022) <doi:10.1007/978-3-031-03502-9_37>, and Zabolotnii, Tkachenko, and Warsza (2023) <doi:10.1007/978-3-031-25844-2_21>, and Zabolotnii (2025) <doi:10.48550/arXiv.2511.07059>.
Author: Serhii Zabolotnii [aut, cre]
Maintainer: Serhii Zabolotnii <zabolotniua@gmail.com>

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Package epiR updated to version 2.0.98 with previous version 2.0.96 dated 2026-08-03

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Ian Kopacka [ctb], Klemens Fuchs [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package cmstatrExt updated to version 0.5.0 with previous version 0.4.1 dated 2026-03-17

Title: More Statistical Methods for Composite Material Data
Description: A companion package to 'cmstatr' <https://cran.r-project.org/package=cmstatr>. 'cmstatr' contains statistical methods that are published in the Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4), while 'cmstatrExt' contains statistical methods that are not included in that handbook.
Author: Stefan Kloppenborg [aut, cre]
Maintainer: Stefan Kloppenborg <stefan@kloppenborg.ca>

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Package caverify updated to version 0.2.0 with previous version 0.1.3 dated 2026-08-23

Title: Fast Strength-t Coverage Verification for Covering Arrays
Description: Verifies that an array covers every t-way interaction, the certificate check for covering arrays, using compiled C code with optional 'OpenMP' threading. Supports uniform and mixed-level (per-column symbol counts) arrays. Missing values mark flexible ("don't care") entries, which contribute nothing to coverage, so a verified array remains covering however they are filled. Designed to be easy to embed in other packages: a single C file with a registered .Call entry point and one R wrapper.
Author: Christopher Smolen [aut, cre]
Maintainer: Christopher Smolen <chrispbsmolen@gmail.com>

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Package airnow updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-01

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

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Package DT2 updated to version 0.1.3 with previous version 0.1.2 dated 2026-06-14

Title: 'DataTables' 2.x for R
Description: A modern R binding for 'DataTables' V2 with modular extension loading, 'Bootstrap 5' styling, 'Shiny' integration (proxy, events, inline inputs), server-side processing helpers, and standalone (non-Shiny) support. Configure 'DataTables' options directly via R lists, a 1:1 mapping to the 'JavaScript' API.
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package rcicr updated to version 1.4.1 with previous version 1.3.0 dated 2026-09-02

Title: Reverse-Correlation Image-Classification Toolbox
Description: Generate stimuli and analyze data of reverse correlation image classification experiments (psychophysical tasks aimed at visualizing cognitive mental representations of faces). For the method see Dotsch and Todorov (2012) <doi:10.1177/1948550611430272>; for a practical primer see Brinkman, Todorov and Dotsch (2017) <doi:10.1080/10463283.2017.1381469>.
Author: Ron Dotsch [aut, cre]
Maintainer: Ron Dotsch <rdotsch@gmail.com>

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Package munsellinterpol updated to version 3.6-0 with previous version 3.5-1 dated 2026-07-30

Title: Interpolate Munsell Renotation Data from Hue Value/Chroma to CIE/RGB
Description: Methods for interpolating data in the Munsell color system following the ASTM D-1535 standard. Hues and chromas with decimal values can be interpolated and converted to/from the Munsell color system and CIE xyY, CIE XYZ, CIE Lab, CIE Luv, or RGB. Includes ISCC-NBS color block lookup. Based on the work by Paul Centore, "The Munsell and Kubelka-Munk Toolbox".
Author: Jose Gama [aut, trl], Paul Centore [aut, cph], Glenn Davis [aut, cre], Hugo Rodrigues [ctb]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package marcxmlr updated to version 0.2.1 with previous version 0.1.0 dated 2026-09-12

Title: Faithful and Scalable MARCXML Parsing
Description: Parses Machine-Readable Cataloging ('MARC 21') XML <https://www.loc.gov/standards/marcxml/> into a canonical tidy long representation while preserving leaders, control fields, data fields, indicators, repeated fields, repeated subfields, and source order. Provides an in-memory reader for manageable catalogues and a bounded-memory converter that writes larger collections as 'Parquet' datasets, with optional local parallel processing.
Author: Lorenzo Isella [aut, cre]
Maintainer: Lorenzo Isella <lorenzo.isella@gmail.com>

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Package kamila updated to version 0.2.0 with previous version 0.1.2 dated 2020-03-13

Title: Methods for Clustering Mixed-Type Data
Description: Implements methods for clustering mixed-type data, specifically combinations of continuous and nominal data. Special attention is paid to the often-overlooked problem of equitably balancing the contribution of the continuous and categorical variables. This package implements KAMILA clustering, a novel method for clustering mixed-type data in the spirit of k-means clustering. It does not require dummy coding of variables, and is efficient enough to scale to rather large data sets. Also implemented is Modha-Spangler clustering, which uses a brute-force strategy to maximize the cluster separation simultaneously in the continuous and categorical variables. For more information, see Foss, Markatou, Ray, & Heching (2016) <doi:10.1007/s10994-016-5575-7> and Foss & Markatou (2018) <doi:10.18637/jss.v083.i13>.
Author: Alexander Foss [aut, cre], Marianthi Markatou [aut]
Maintainer: Alexander Foss <alexanderhfoss@gmail.com>

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Package ifo updated to version 0.3.0 with previous version 0.2.5 dated 2026-08-21

Title: Client for the Ifo Institute Time Series
Description: Download ifo business survey data and more time series from ifo institute <https://www.ifo.de/en/ifo-time-series>.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package datacommons updated to version 0.1.1 with previous version 0.1.0 dated 2025-08-28

Title: Client for the 'Google Data Commons API V2'
Description: Access the 'Google Data Commons API V2' <https://docs.datacommons.org/api/rest/v2/>. Data Commons provides programmatic access to statistical and demographic data from dozens of sources organized in a knowledge graph.
Author: Christoph Scheuch [aut, cre, cph] , Teal Emery [aut]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

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Fri, 18 Sep 2026

Package veesa updated to version 0.1.8 with previous version 0.1.7 dated 2025-12-04

Title: Pipeline for Explainable Machine Learning with Functional Data
Description: Implements the Variable importance Explainable Elastic Shape Analysis pipeline for explainable machine learning with functional data inputs. Converts training and testing data functional inputs to elastic shape analysis principal components that account for vertical and/or horizontal variability. Computes feature importance to identify important principal components and visualizes variability captured by functional principal components. See Goode et al. (2025) <doi:10.48550/arXiv.2501.07602> for technical details about the methodology.
Author: Katherine Goode [cre, aut], J. Derek Tucker [aut], Sandia National Laboratories [cph, fnd]
Maintainer: Katherine Goode <kjgoode@sandia.gov>

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Package supportR updated to version 1.6.1 with previous version 1.6.0 dated 2025-12-21

Title: Support Functions for Wrangling and Visualization
Description: Suite of helper functions for data wrangling and visualization. The only theme for these functions is that they tend towards simple, short, and narrowly-scoped. These functions are built for tasks that often recur but are not large enough in scope to warrant an ecosystem of interdependent functions.
Author: Nicholas J Lyon [aut, cre, cph]
Maintainer: Nicholas J Lyon <nickjlyon@gmail.com>

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Package multigroup.vaccine updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-09

Title: Analyze Outbreak Models of Multi-Group Populations with Vaccination
Description: Model infectious disease dynamics in populations with multiple subgroups having different vaccination rates, transmission characteristics, and contact patterns. Calculate final and intermediate outbreak sizes, form age-structured contact models with automatic fetching of U.S. census data, and explore vaccination scenarios with an interactive 'shiny' dashboard for a model with two subgroups, as described in Nguyen et al. (2024) <doi:10.1016/j.jval.2024.03.039> and Duong et al. (2026) <doi:10.1093/ofid/ofaf695.217>.
Author: Damon Toth [aut, cre, cph] , Jake Wagoner [aut] , Willy Ray [aut], George Vega Yon [ctb] , Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd]
Maintainer: Damon Toth <damon.toth@hsc.utah.edu>

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Package markovchain updated to version 1.1.1 with previous version 1.0.0 dated 2026-08-25

Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided. See Spedicato (2017) <doi:10.32614/RJ-2017-036>. Some functions for continuous times Markov chains depend on the suggested ctmcd package.
Author: Giorgio Alfredo Spedicato [aut, cre] , Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb] , Deepak Yadav [aut], Ignacio Cordon [aut] , Vandit Jain [ctb], Toni Giorgino [ctb] , Richel J.C. Bilderbeek [ctb] , Daniel Ebbert [ [...truncated...]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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Package ltertools updated to version 2.1.1 with previous version 2.1.0 dated 2025-09-02

Title: Tools Developed by the Long Term Ecological Research Community
Description: Set of the data science tools created by various members of the Long Term Ecological Research (LTER) community. These functions were initially written largely as standalone operations and have later been aggregated into this package.
Author: Nicholas Lyon [aut, cre] , Angel Chen [aut] , Miguel C. Leon [ctb] , National Science Foundation [fnd] , University of California, Santa Barbara [cph]
Maintainer: Nicholas Lyon <nickjlyon@gmail.com>

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Package finto updated to version 0.1.2 with previous version 0.1.1 dated 2025-11-24

Title: Access the 'Finto' API
Description: Access and retrieve vocabulary data 'Finto' API <https://api.finto.fi/>, which is a centralized service for interoperable thesauri, ontology and classification schemes for different subject areas.
Author: Akewak Jeba [aut, cre] , Leo Lahti [aut]
Maintainer: Akewak Jeba <akewak84@gmail.com>

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Package dndR updated to version 3.1.1 with previous version 3.1.0 dated 2025-06-11

Title: Dungeons & Dragons Functions for Players and Dungeon Masters
Description: The goal of 'dndR' is to provide a suite of Dungeons & Dragons related functions. This package is meant to be useful both to players and Dungeon Masters (DMs). Some functions apply to many tabletop role-playing games (e.g., dice rolling), but others are focused on Fifth Edition (a.k.a. "5e") and where possible both the 2014 and 2024 versions are supported.
Author: Nicholas Lyon [aut, cre, cph] , Tim Schatto-Eckrodt [aut] , Humberto Nappo [aut] , Billy Mitchell [aut]
Maintainer: Nicholas Lyon <nickjlyon@gmail.com>

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Package prais updated to version 1.2.0 with previous version 1.1.4 dated 2025-06-25

Title: Prais-Winsten Estimator for AR(1) Serial Correlation
Description: The Prais-Winsten estimator (Prais & Winsten, 1954) takes into account AR(1) serial correlation of the errors in a linear regression model. The procedure recursively estimates the coefficients and the error autocorrelation of the specified model until sufficient convergence of the AR(1) coefficient is attained.
Author: Franz X. Mohr [aut, cre] , Michael Skvrňak [ctb]
Maintainer: Franz X. Mohr <franz.x.mohr@outlook.com>

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Package OptSurvCutR updated to version 0.11.1 with previous version 0.10.0 dated 2026-06-30

Title: Optimal Survival Cut-Point Discovery for Time-to-Event Analysis with 'OptSurvCutR'
Description: Provides a robust workflow for optimal cut-point analysis in time-to-event ('survival') data. Functions determine the optimal number of cut-points via find_cutpoint_number(), find their precise locations via find_cutpoint() using systematic or genetic algorithms (via the 'rgenoud' package), and validate stability via bootstrapping using validate_cutpoint(). Features include covariate adjustment, parallel processing, and an extensible S3 plotting engine for clinical dashboards and diagnostics.
Author: Payton Yau [aut, cre, cph] , Suhirthakumar Puvanendran [aut]
Maintainer: Payton Yau <tungon@gmail.com>

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Package getRad updated to version 0.4.0 with previous version 0.3.0 dated 2026-06-11

Title: Download Radar Data for Biological Research
Description: Load polar volume and vertical profile data for aeroecological research directly into R. With 'getRad' you can access data from several sources in Europe and the US and standardize it to facilitate further exploration in tools such as 'bioRad'.
Author: Bart Kranstauber [aut, cre] , Pieter Huybrechts [aut] ), Peter Desmet [aut] ), Cecilia Nilsson [ctb] , Alexander Tedeschi [ctb] , Hidde Leijnse [ctb] , Bart Hoekstra [ctb] , University of Amsterdam [cph] , Biodiversa+ [fnd]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

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Package csmbuilder updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-03

Title: A Collection of Tools for Building Cropping System Models
Description: A collection of tools for designing, implementing, testing, documenting and visualizing dynamic simulation cropping system models. Models are specified as a combination of state variables, parameters, intermediate factors and input data that define a system of ordinary differential equations. Specified models can be used to simulate dynamic processes using numerical integration algorithms.
Author: Phillip D Alderman [aut, cre], Pratishtha Poudel [aut]
Maintainer: Phillip D Alderman <phillip.alderman@okstate.edu>

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Package oenb updated to version 0.1.0 with previous version 0.0.2 dated 2021-03-22

Title: Tools for the OeNB Data Web Service
Description: Tools to access data from the data web service of the Oesterreichische Nationalbank (OeNB), <https://www.oenb.at/en/Statistics/User-Defined-Tables/webservice.html>.
Author: Franz X. Mohr [aut, cre]
Maintainer: Franz X. Mohr <franz.x.mohr@outlook.com>

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Package jmastats updated to version 0.3.1 with previous version 0.3.0 dated 2025-01-27

Title: Download Weather Data from Japan Meteorological Agency Website
Description: Provides features that allow users to download weather data published by the Japan Meteorological Agency (JMA) website (<https://www.jma.go.jp/jma/index.html>). The data includes information dating back to 1976 and aligns with the categories available on the website. Additionally, users can process the best track data of typhoons and easily handle earthquake record files.
Author: Shinya Uryu [aut, cph, cre]
Maintainer: Shinya Uryu <suika1127@gmail.com>

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Package fastkmedoids updated to version 1.7 with previous version 1.6 dated 2026-03-26

Title: Faster K-Medoids Clustering Algorithms: FastPAM, FastCLARA, FastCLARANS
Description: R wrappers of C++ implementation of Faster K-Medoids clustering algorithms (FastPAM, FastCLARA and FastCLARANS) proposed in Erich Schubert, Peter J. Rousseeuw 2019 <doi:10.1007/978-3-030-32047-8_16>.
Author: Xun Li [aut, cre]
Maintainer: Xun Li <lixun910@gmail.com>

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Package ctreeMI updated to version 1.1.0 with previous version 1.0.1 dated 2026-08-26

Title: Conditional Inference Trees with Stacked Multiple Imputation
Description: Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) <doi:10.1080/00273171.2026.2661244>. When data contain missing values, multiply imputed datasets (e.g., from 'mice') are stacked vertically and a single 'ctree' is fit on the combined data. To correct for the artificially inflated sample size introduced by stacking, every node-level test statistic is divided by the number of imputations M, the node-level p-values are recomputed from the chi-squared reference distribution 'ctree' uses (including its multiplicity adjustment across candidate splitting variables), and the tree is compressed bottom-up (the Stack/M correction). Degrees of freedom are derived for each node and each candidate variable, so univariate, bivariate and higher-dimensional outcomes are all handled, as are unordered factor predictors, whose degrees of freedom depend on how many levels remain in a node. The result is a single interpretable tree [...truncated...]
Author: Phillip Sherlock [aut, cre]
Maintainer: Phillip Sherlock <phillip.sherlock@ufl.edu>

Diff between ctreeMI versions 1.0.1 dated 2026-08-26 and 1.1.0 dated 2026-09-18

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Package opalr updated to version 3.7.0 with previous version 3.6.1 dated 2026-05-27

Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is the core database application for biobanks. Participant data, once collected from any data source, must be integrated and stored in a central data repository under a uniform model. 'Opal' is such a central repository. It can import, process, validate, query, analyze, report, and export data. 'Opal' is typically used in a research center to analyze the data acquired at assessment centres. Its ultimate purpose is to achieve seamless data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal' web services and to perform operations on the R server side. 'DataSHIELD' administration tools are also provided.
Author: Yannick Marcon [aut, cre] , Amadou Gaye [ctb] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between opalr versions 3.6.1 dated 2026-05-27 and 3.7.0 dated 2026-09-18

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Package nflplotR updated to version 1.7.0 with previous version 1.6.0 dated 2025-11-14

Title: NFL Logo Plots in 'ggplot2' and 'gt'
Description: A set of functions to visualize National Football League analysis in 'ggplot2' plots and 'gt' tables.
Author: Sebastian Carl [aut, cre]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>

Diff between nflplotR versions 1.6.0 dated 2025-11-14 and 1.7.0 dated 2026-09-18

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Permanent link

Package huggingfaceR updated to version 2.3.0 with previous version 2.2.0 dated 2026-08-29

Title: Access 'Hugging Face' Models and Datasets
Description: Access models and datasets hosted on the 'Hugging Face' Hub through its Inference Application Programming Interface (API). Run text classification, embeddings, chat, translation, image, audio, and other tasks from tidy 'R' workflows without installing 'Python' by default. Results are returned as data frames or simple 'R' objects so they can be composed with 'dplyr', 'tidyr', and related tooling. Helpers also support Hub search, file download, provider discovery, and guarded uploads for authenticated workflows. Optional local embeddings and text classification use 'Python' through 'reticulate'.
Author: Alex Farach [aut, cre, cph], Sam Terfa [aut, cph], Jack Penzer [aut, cph]
Maintainer: Alex Farach <alexfarach@gmail.com>

Diff between huggingfaceR versions 2.2.0 dated 2026-08-29 and 2.3.0 dated 2026-09-18

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Package RealVAMS updated to version 0.5.0 with previous version 0.4-6 dated 2024-04-05

Title: Multivariate VAM Fitting
Description: Fits a multivariate value-added model (VAM), see Broatch, Green, and Karl (2018) <doi:10.32614/RJ-2018-033> and Broatch and Lohr (2012) <doi:10.3102/1076998610396900>, with normally distributed test scores and a binary outcome indicator. A pseudo-likelihood approach, Wolfinger (1993) <doi:10.1080/00949659308811554>, is used for the estimation of this joint generalized linear mixed model. The inner loop of the pseudo-likelihood routine (estimation of a linear mixed model) occurs in the framework of the EM algorithm presented by Karl, Yang, and Lohr (2013) <DOI:10.1016/j.csda.2012.10.004>. This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.
Author: Andrew Karl [cre, aut] , Jennifer Broatch [aut], Jennifer Green [aut]
Maintainer: Andrew Karl <akarl@asu.edu>

Diff between RealVAMS versions 0.4-6 dated 2024-04-05 and 0.5.0 dated 2026-09-18

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More information about RealVAMS at CRAN
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Package mvglmmRank updated to version 1.2-6 with previous version 1.2-5 dated 2026-06-09

Title: Multivariate Generalized Linear Mixed Models for Ranking Sports Teams
Description: Maximum likelihood estimates are obtained via an EM algorithm with either a first-order or a fully exponential Laplace approximation as documented by Broatch and Karl (2018) <doi:10.48550/arXiv.1710.05284>, Karl, Yang, and Lohr (2014) <doi:10.1016/j.csda.2013.11.019>, and by Karl (2012) <doi:10.1515/1559-0410.1471>. Karl and Zimmerman <doi:10.1016/j.jspi.2020.06.004> use this package to illustrate how the home field effect estimator from a mixed model can be biased under nonrandom scheduling.
Author: Andrew T. Karl [cre, aut] , Jennifer Broatch [aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

Diff between mvglmmRank versions 1.2-5 dated 2026-06-09 and 1.2-6 dated 2026-09-18

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Package GPvam updated to version 3.3-0 with previous version 3.2-0 dated 2024-12-12

Title: Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling
Description: An EM algorithm, Karl et al. (2013) <doi:10.1016/j.csda.2012.10.004>, estimates generalized, reduced generalized, variable, complete, and zero persistence models by maximum likelihood or restricted maximum likelihood (the default). These are multiple-membership linear mixed models with teachers modeled as "G-side" effects and students modeled with either "G-side" or "R-side" effects; see Mariano et al. (2010) <doi:10.3102/1076998609346967>.
Author: Andrew Karl [cre, aut] , Yan Yang [aut], Sharon Lohr [aut]
Maintainer: Andrew Karl <akarl@asu.edu>

Diff between GPvam versions 3.2-0 dated 2024-12-12 and 3.3-0 dated 2026-09-18

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Package glmmFEL updated to version 1.0.6 with previous version 1.0.5 dated 2026-01-09

Title: Generalized Linear Mixed Models via Fully Exponential Laplace in EM
Description: Fit generalized linear mixed models (GLMMs) with normal random effects using first-order Laplace, fully exponential Laplace (FEL) with mean-only corrections, and FEL with mean and variance-diagonal corrections in the E-step of an expectation-maximization (EM) algorithm. The current development version provides a matrix-based interface (y, X, Z) and supports binary logit and probit, and Poisson log-link models. An EM framework is used to update fixed effects, random effects, and a single variance component tau^2 for G = tau^2 I, with staged approximations (Laplace -> FEL mean-only -> FEL full) for efficiency and stability. A pseudo-likelihood engine glmmFEL_pl() implements the working-response / working-weights linearization approach of Wolfinger and O'Connell (1993) <doi:10.1080/00949659308811554>, and is adapted from the implementation used in the 'RealVAMS' package (Broatch, Green, and Karl (2018)) <doi:10.32614/RJ-2018-033>. The FEL implementation follows Karl, Yan [...truncated...]
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package morseDR updated to version 0.1.3 with previous version 0.1.2 dated 2025-05-29

Title: Bayesian Inference of Binary, Count and Continuous Data in Toxicology
Description: Advanced methods for a valuable quantitative environmental risk assessment using Bayesian inference of several type of toxicological data. 'binary' (e.g., survival, mobility), 'count' (e.g., reproduction) and 'continuous' (e.g., growth as length, weight). Estimation procedures can be used without a deep knowledge of their underlying probabilistic model or inference methods. Rather, they were designed to behave as well as possible without requiring a user to provide values for some obscure parameters. That said, models can also be used as a first step to tailor new models for more specific situations.
Author: Virgile Baudrot [aut, cre], Sandrine Charles [aut], Marie Laure Delignette-Muller [aut], Nils Kehrein [ctb], Guillaume Kon-Kam-King [ctb], Christelle Lopes [ctb], Philippe Veber [aut]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>

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Package mixedbiastest updated to version 1.0.3 with previous version 1.0.2 dated 2025-11-30

Title: Bias Diagnostic for Linear Mixed Models
Description: Provides a function to perform bias diagnostics on linear mixed models fitted with lmer() from the 'lme4' package. Implements permutation tests for assessing the bias of fixed effects, as described in Karl and Zimmerman (2021) <doi:10.1016/j.jspi.2020.06.004>. Karl and Zimmerman (2020) <doi:10.17632/tmynggddfm.1> provide R code for implementing the test using 'mvglmmRank' output. Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package zipcodeR updated to version 0.4.1 with previous version 0.4.0 dated 2026-09-07

Title: Data & Functions for Working with US ZIP Codes
Description: Make working with ZIP codes in R painless with an integrated dataset of U.S. ZIP codes and functions for working with them. Search ZIP codes by multiple geographies, including state, county, city & across time zones. Also included are functions for relating ZIP codes to Census data, geocoding & distance calculations. New analyses can select an immutable modern data bundle through the next-generation API, while the historical interface remains compatible with version 0.3.5 for reproducible research.
Author: Gavin Rozzi [aut, cre]
Maintainer: Gavin Rozzi <gr@gavinrozzi.com>

Diff between zipcodeR versions 0.4.0 dated 2026-09-07 and 0.4.1 dated 2026-09-18

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Package vostokR readmission to version 0.2.2 with previous version 0.2.1 dated 2026-03-25

Title: Solar Potential Calculation for Point Clouds using 'VOSTOK'
Description: Calculate solar potential for LiDAR point clouds using the 'VOSTOK' (Voxel Octree Solar Toolkit) algorithm. This R program provides an interface to the original 'VOSTOK' C++ implementation by Bechtold and Hofle (2020), enabling efficient ray casting and solar position algorithms to compute solar irradiance for each point while accounting for shadowing effects. Integrates seamlessly with the 'lidR' package for LiDAR data processing workflows. The original 'VOSTOK' toolkit is available at <doi:10.11588/data/QNA02B>.
Author: Andrew J. Sanchez Meador [aut, cre], Sebastian Bechtold [aut] , Bernhard Hofle [aut]
Maintainer: Andrew J. Sanchez Meador <andrew.sanchezmeador@nau.edu>

This is a re-admission after prior archival of version 0.2.1 dated 2026-03-25

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Package spanner readmission to version 1.0.5 with previous version 1.0.4 dated 2026-04-01

Title: Utilities to Support Lidar Applications at the Landscape, Forest, and Tree Scale
Description: Implements algorithms for terrestrial, mobile, and airborne lidar processing, tree detection, segmentation, and attribute estimation (Donager et al., 2021) <doi:10.3390/rs13122297>, and a hierarchical patch delineation algorithm 'PatchMorph' (Girvetz & Greco, 2007) <doi:10.1007/s10980-007-9104-8>. Tree detection uses rasterized point cloud metrics (relative neighborhood density and verticality) combined with RANSAC cylinder fitting to locate tree boles and estimate diameter at breast height. Tree segmentation applies graph-theory approaches inspired by Tao et al. (2015) <doi:10.1016/j.isprsjprs.2015.08.007> with cylinder fitting methods from de Conto et al. (2017) <doi:10.1016/j.compag.2017.07.019>. PatchMorph delineates habitat patches across spatial scales using organism-specific thresholds. Built on 'lidR' (Roussel et al., 2020) <doi:10.1016/j.rse.2020.112061>.
Author: Andrew Sanchez Meador [aut, cre, ctb] , Jonathon Donager [aut, ctb] , Blackburn Ryan [aut, ctb] , Cannon Jeffery [ctb] , Tiago de Conto [ctb, cph] , Keith O'Hara [ctb, cph]
Maintainer: Andrew Sanchez Meador <Andrew.SanchezMeador@nau.edu>

This is a re-admission after prior archival of version 1.0.4 dated 2026-04-01

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Package simFastBOIN updated to version 2.0.0 with previous version 1.3.2 dated 2025-12-17

Title: Fast Simulation of Bayesian Optimal Interval Designs for Phase I Trials
Description: Design and evaluate phase I dose-finding trials that use the Bayesian optimal interval (BOIN) design of Liu and Yuan (2015) <doi:10.1111/rssc.12089>. Functions are provided to tabulate the decision boundaries, to simulate trials, to estimate the dose-toxicity curve under a monotonicity constraint and to select the maximum tolerated dose. The simulation engine is written in C++ and draws one random variate per patient in enrollment order, which reproduces the reference implementation in the 'BOIN' package trial by trial for a given seed. The traditional 3+3 design is provided as a comparator, with operating characteristics obtained in closed form rather than by simulation.
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>

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Package sidra readmission to version 0.2.0 with previous version 0.1.9 dated 2025-09-06

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>

This is a re-admission after prior archival of version 0.1.9 dated 2025-09-06

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Package prepR4pcm updated to version 1.0.3 with previous version 1.0.2 dated 2026-08-25

Title: Prepare Data and Trees for Phylogenetic Comparative Methods
Description: Reconcile species names across datasets and phylogenetic trees for comparative biology workflows. Identifies mismatches due to formatting differences, taxonomic synonymy, and spelling errors. Produces detailed reports documenting how each name was resolved, which taxonomic authority was used, and what remains unresolved. Supports exact matching, name normalisation, synonym resolution via local taxonomic databases, and fuzzy matching for likely typos. Detects taxonomic splits and lumps. For methodological context, see Nakagawa et al. (2026) <doi:10.32942/X2468Z>.
Author: Shinichi Nakagawa [aut, cre, cph] , Santiago Ortega [aut], Ayumi Mizuno [aut], Eduardo S.A. Santos [aut], Malgorzata Lagisz [aut] , Bhavya Jain [aut], Jimuel Jr Celeste [aut], Sergio Poo Hernandez [aut]
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>

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Package OLSengine updated to version 1.2.0 with previous version 1.1.1 dated 2026-07-31

Title: Transparent and Assisted Linear Modeling Engine
Description: Unified estimation, diagnostics, and reporting for ordinary least squares (OLS) regression, ANOVA/t-tests, logistic regression, panel data (fixed/random effects with Hausman test), instrumental variables (2SLS with weak instrument diagnostics), and difference-in-differences. Designed for applied researchers in social sciences with integrated "Methodological Customs" that audit assumptions and provide literature references. All methods implemented in pure base R without external dependencies beyond stats and graphics packages.
Author: Manuel Soto-Perez [aut, cre]
Maintainer: Manuel Soto-Perez <msoto@up.edu.mx>

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Package mvnma updated to version 0.3-0 with previous version 0.2-0 dated 2026-07-09

Title: Multivariate Network Meta-Analysis using Bayesian Methods
Description: Tools to conduct Bayesian multivariate network meta-analysis providing - the single correlation coefficient model by Efthimiou et al. (2015) <doi:10.1093/biostatistics/kxu030>; - per-outcome consistency checks using the node-splitting method (Dias et al., 2010) <doi:10.1002/sim.3767>; - per-outcome treatment hierarchies using the surface under the cumulative ranking curve (SUCRA), the probability of best value, or median (or mean) ranks (Salanti et al., 2011) <doi:10.1016/j.jclinepi.2010.03.016>; - across-outcomes benefit-risk assessment using the VišeKriterijumska Optimizacija I Kompromisno Rešenje (VIKOR) method (Opricovic & Tzeng, 2004) <doi:10.1016/S0377-2217(03)00020-1>; - convergence checks using trace plots, density plots, or the R-hat statistic; - forest plots of treatment estimates and consistency checks, scatter plots of per-outcome rankings, Hasse diagrams (Carlsen & Bruggemann, 2014) <doi:10.1002/cem.2569> to visualize the partial order [...truncated...]
Author: Theodoros Evrenoglou [aut, cre] , Guido Schwarzer [aut]
Maintainer: Theodoros Evrenoglou <theodoros.evrenoglou@uniklinik-freiburg.de>

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Package dyads updated to version 1.2.22.3 with previous version 1.2.1 dated 2022-08-17

Title: Dyadic Network Analysis
Description: Contains functions for the MCMC simulation of (multilevel) dyadic network models j2 (Zijlstra, 2017, <doi:10.1080/0022250X.2017.1387858>) and p2 (Van Duijn, Snijders & Zijlstra, 2004, <doi: 10.1046/j.0039-0402.2003.00258.x>), the multilevel p2 model (Zijlstra, Van Duijn & Snijders (2009) <doi: 10.1348/000711007X255336>), and the bidirectional (multilevel) counterpart of the the multilevel p2 model as described in Zijlstra, Van Duijn & Snijders (2009) <doi: 10.1348/000711007X255336>, the (multilevel) b2 model.
Author: Bonne J.H. Zijlstra [aut, cre]
Maintainer: Bonne J.H. Zijlstra <B.J.H.Zijlstra@uva.nl>

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Package archeoViz updated to version 1.4.3 with previous version 1.4.2 dated 2026-07-30

Title: Visualisation, Exploration, and Web Communication of Archaeological Spatial Data
Description: An R 'Shiny' application for visual and statistical exploration and web communication of archaeological spatial data, either remains or sites. It offers interactive 3D and 2D visualisations (cross sections and maps of remains, timeline of the work made in a site) which can be exported in SVG and HTML formats. It performs simple spatial statistics (convex hull, regression surfaces, 2D kernel density estimation) and allows exporting data to other online applications for more complex methods. 'archeoViz' can be used offline locally or deployed on a server, either with interactive input of data or with a static data set. Example is provided at <https://analytics.huma-num.fr/archeoviz/en>.
Author: Sebastien Plutniak [aut, cre] , Renata Araujo [ctb] , Laura Coltofean [ctb] , Nicolas Delsol [ctb] , Sara Giardino [ctb] , Julian Laabs [ctb]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package nflfastR updated to version 6.0.0 with previous version 5.2.0 dated 2026-02-07

Title: Functions to Efficiently Access NFL Play by Play Data
Description: A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.
Author: Sebastian Carl [aut], Ben Baldwin [cre, aut], Lee Sharpe [ctb], Maksim Horowitz [ctb], Ron Yurko [ctb], Samuel Ventura [ctb], Tan Ho [ctb], John Edwards [ctb]
Maintainer: Ben Baldwin <bbaldwin206@gmail.com>

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Package multilevLCA updated to version 2.1.6 with previous version 2.1.5 dated 2026-08-26

Title: Estimates and Plots Single-Level and Multilevel Latent Class Models
Description: Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications. For more technical details, see Lyrvall et al. (2025) <doi:10.1080/00273171.2025.2473935>.
Author: Roberto Di Mari [aut, cre], Johan Lyrvall [aut], Zsuzsa Bakk [ctb], Jennifer Oser [ctb], Jouni Kuha [ctb]
Maintainer: Roberto Di Mari <roberto.dimari@unict.it>

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Package funbootband updated to version 0.3.0 with previous version 0.2.0 dated 2025-10-20

Title: Simultaneous Prediction and Confidence Bands for Functional Data
Description: Computes simultaneous prediction and confidence bands for densely sampled functional data on a common grid. The calibration builds on the functional bootstrap approach of Lenhoff et al. (1999) <doi:10.1016/S0966-6362(98)00043-5>; hierarchical measurement designs are motivated by Koska et al. (2023) <doi:10.1016/j.jbiomech.2023.111506>. Independent curves are resampled individually. Clustered data use an intact-subject bootstrap with equal subject weighting, and the clustered prediction target is one future curve from a new subject. Curves are represented by finite Fourier series, and an 'Rcpp' backend performs the bootstrap calibration.
Author: Daniel Koska [aut, cre, cph]
Maintainer: Daniel Koska <dkoska@proton.me>

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Package tall updated to version 1.0.1 with previous version 1.0.0 dated 2026-04-15

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

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Package SqlRender updated to version 1.19.7 with previous version 1.19.6 dated 2026-07-31

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include 'Microsoft SQL Server', 'Oracle', 'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', 'Snowflake', 'Azure Synapse Analytics Dedicated', 'Apache Spark', 'SQLite', and 'InterSystems IRIS'.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package poldis updated to version 0.2.0 with previous version 0.1.2 dated 2024-09-04

Title: Analyse Political Texts
Description: Wrangle and annotate different types of political texts. It also introduces Urgency Analysis, a new method for the analysis of urgency in political texts.
Author: Henrique Sposito [cre, aut, ctb], James Hollway [ctb], Jael Tan [ctb]
Maintainer: Henrique Sposito <henrique.sposito@graduateinstitute.ch>

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Package layeranalyzer updated to version 0.4.2 with previous version 0.4.1 dated 2026-08-28

Title: Time Series Analysis Tool using Linear Layered SDEs
Description: Time series analysis tool using linear layered stochastic differential equations. The package allows for multiple time series with correlative and/or causal links between them. Unmeasured causal processes are allowed to affect the measured processes in a layered structure, hence the name of the package. In case of causal feedback loops, the matrix operations (including eigenvalue decompositions) allows for complex numbers. In this case, cyclic behavior can be expected. Details can be found in Reitan and Liow (2019)<doi:10.1111/2041-210X.13299>.
Author: Trond Reitan [aut, cre] , Lee Hsiang Liow [ctb] , Adam T. Kocsis [ctb]
Maintainer: Trond Reitan <trond.reitan@geo.uio.no>

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Package baseline updated to version 1.3-8 with previous version 1.3-7 dated 2025-06-18

Title: Baseline Correction of Spectra
Description: Collection of baseline correction algorithms, along with a framework and a Tcl/Tk enabled GUI for optimising baseline algorithm parameters. Typical use of the package is for removing background effects from spectra originating from various types of spectroscopy and spectrometry, possibly optimizing this with regard to regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more.
Author: Kristian Hovde Liland [aut, cre] , Bjoern-Helge Mevik [aut], Roberto Canteri [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package SVEMnet updated to version 3.6.2 with previous version 3.6.0 dated 2026-09-06

Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression
Description: Implements the self-validated elastic-net and relaxed elastic-net ensemble modeling and multi-response optimization workflow described in Karl (2026) <doi:10.1016/j.chemolab.2026.105660>. Self-validated ensemble models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) are fitted for small-sample design-of-experiments and related workflows using 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). Fractional random-weight bootstraps with anti-correlated validation copies are used to tune penalty paths by validation-weighted AIC/BIC. Supports Gaussian and binomial responses, deterministic expansion helpers for shared factor spaces, prediction with bootstrap uncertainty, and a random-search optimizer that respects mixture constraints and combines multiple responses via desirability functions. Also includes a permutation-based whole-model test for Gaussian SVEM fits (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Package code was drafte [...truncated...]
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package OlinkAnalyze updated to version 5.1.0 with previous version 5.0.2 dated 2026-06-23

Title: Facilitate Analysis of Proteomic Data from Olink
Description: A collection of functions to facilitate analysis of proteomic data from Olink, primarily NPX data that has been exported from Olink Software. The functions also work on QUANT data from Olink by log- transforming the QUANT data. The functions are focused on reading data, facilitating data wrangling and quality control analysis, performing statistical analysis and generating figures to visualize the results of the statistical analysis. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.
Author: Kathleen Nevola [aut, cre] , Marianne Sandin [aut] , Jamey Guess [aut] , Simon Forsberg [aut] , Christoffer Cambronero [aut] , Pascal Pucholt [aut] , Boxi Zhang [aut] , Masoumeh Sheikhi [aut] , Klev Diamanti [aut] , Amrita Kar [aut] , Lei Conze [aut] [...truncated...]
Maintainer: Kathleen Nevola <biostattools@olink.com>

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Package MDgof updated to version 1.2.0 with previous version 1.1.0 dated 2026-08-03

Title: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions
Description: Provides multivariate goodness-of-fit testing with a common interface for several test statistics. Null models may be simple or include parameter estimation, with p-values obtained by parametric bootstrap simulation. The function gof_test_adjusted_pvalue() combines several tests and computes a p-value adjusted for simultaneous inference. The function gof_power() estimates test power. The functions hybrid_test() and hybrid_power() use Monte Carlo samples under the null together with two-sample procedures. The function run.studies() supports systematic power comparisons of user-supplied and included methods across case studies. See the included vignettes for method details and references.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package climate updated to version 1.4.1 with previous version 1.4.0 dated 2026-07-10

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

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Package HMDA updated to version 0.4.1 with previous version 0.3.0 dated 2026-03-04

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

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Package spatstat.geom updated to version 3.8-3 with previous version 3.8-2 dated 2026-07-24

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Warick Brown [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Martin Hazelton [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oeh [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package rjd3jars updated to version 0.0.6 with previous version 0.0.5 dated 2026-07-07

Title: External jars for 'rjdverse' R Packages
Description: It provides external jars required for the 'rjdverse' (as 'rjd3toolkit', 'rjd3x13' and 'rjd3tramoseats').
Author: Tanguy Barthelemy [aut, cre, cph]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

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Package RcppArray updated to version 0.3.1 with previous version 0.3.0 dated 2023-11-08

Title: 'Rcpp' Meets 'C++' Arrays
Description: Interoperability between 'Rcpp' and the 'C++11' array and tuple types. Linking to this package allows fixed-length 'std::array' objects to be converted to and from equivalent R vectors, and 'std::tuple' objects converted to lists, via the as() and wrap() functions. There is also experimental support for 'std::span' from 'C++20'.
Author: Jon Clayden [cre, aut] , Dirk Eddelbuettel [aut], Andrew Johnson [ctb]
Maintainer: Jon Clayden <code@clayden.org>

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Package RBesT updated to version 1.12-0 with previous version 1.11-0 dated 2026-08-04

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Lukas A. Widmer [ctb] , Daniel Sabanes Bove [ctb] , Trustees of Columbia Univers [...truncated...]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package subselect updated to version 0.16.2 with previous version 0.16.1 dated 2026-05-04

Title: Selecting Variable Subsets
Description: A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria. Theoretical support for the heuristic search methods and exploratory data analysis criteria is in Cadima, Cerdeira, Minhoto (2003, <doi:10.1016/j.csda.2003.11.001>). Theoretical support for the leap and bounds algorithm and the criteria for the general multivariate linear model is in Duarte Silva (2001, <doi:10.1006/jmva.2000.1920>). There is a package vignette "subselect", which includes additional references.
Author: Jorge Orestes Cerdeira [aut], Pedro Duarte Silva [aut, cre], Jorge Cadima [aut], Manuel Minhoto [aut]
Maintainer: Pedro Duarte Silva <psilva@ucp.pt>

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Package sidrar updated to version 0.5.1 with previous version 0.5.0 dated 2026-08-25

Title: An Interface to IBGE's SIDRA API
Description: Provides a flexible interface to discover, inspect, plan, and retrieve aggregate data from the Brazilian Institute of Geography and Statistics (IBGE) through its SIDRA application programming interfaces. SIDRA is IBGE's system for retrieving aggregate statistical data.
Author: Renato Prado Siqueira [aut, cre]
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>

Diff between sidrar versions 0.5.0 dated 2026-08-25 and 0.5.1 dated 2026-09-18

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Package Rsearch updated to version 1.2.0 with previous version 1.1.0 dated 2026-07-20

Title: Processing and Analyzing Amplicon Sequence Data
Description: Processing and analysis of targeted sequencing data. The package provides a user-friendly interface for core 'VSEARCH' (Rognes et al. (2016), <doi:10.7717/peerj.2584>) functions, in addition to tools for visualization and parameter tuning.
Author: Cassandra Stamsaas [cre, aut], Lars Snipen [aut], Torbjoern Rognes [aut], Hilde Vinje [aut]
Maintainer: Cassandra Stamsaas <cassandra.stamsaas@nmbu.no>

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Package mcptools updated to version 1.0.3 with previous version 1.0.2 dated 2026-08-22

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>

Diff between mcptools versions 1.0.2 dated 2026-08-22 and 1.0.3 dated 2026-09-18

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Package clinpubr updated to version 1.4.2 with previous version 1.4.1 dated 2026-07-13

Title: Clinical Publication
Description: Accelerate the process from clinical data to medical publication, including clinical data cleaning, significant result screening, and the generation of publish-ready tables and figures.
Author: Yue Niu [aut, cre, cph] , Keyun Wang [aut]
Maintainer: Yue Niu <niuyuesam@163.com>

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Package alcyon updated to version 0.10.0 with previous version 0.9.0 dated 2026-08-29

Title: Spatial Network Analysis
Description: Interface package for 'sala', the spatial network analysis library from the 'depthmapX' software application. The R parts of the code are based on the 'rdepthmap' package. Allows for the analysis of urban and building-scale networks and provides metrics and methods usually found within the Space Syntax domain. Methods in this package are described by K. Al-Sayed, A. Turner, B. Hillier, S. Iida and A. Penn (2014) "Space Syntax methodology", and also by A. Turner (2004) <https://discovery.ucl.ac.uk/id/eprint/2651> "Depthmap 4: a researcher's handbook".
Author: Petros Koutsolampros [cre, aut] , Fani Kostourou [ctb] , Kimon Krenz [ctb] , Alasdair Turner [ctb] , Tasos Varoudis [ctb] , Christian Sailer [ctb] , Eva Friedrich [ctb] , University College London [fnd, cph] , Spacelab UK [fnd]
Maintainer: Petros Koutsolampros <r-devel@pklampros.net>

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Package tabxplor updated to version 2.0.1 with previous version 2.0.0 dated 2026-08-29

Title: User-Friendly Tables with Color Helpers for Data Exploration
Description: Make it easy to deal with multiple cross-tables in data exploration, by creating them, manipulating them, and adding color helpers to highlight deviations (differences from totals, comparisons between lines or columns, contributions to variance, odds ratios, etc.) and significance (confidence intervals, stars, etc.). Create the same kind of tables for regression models, with a framework to compare model effects with their crude/observed counterpart systematically. All functions render data frames which can be easily manipulated. All tables can be exported with formats and colors to 'Excel', html and markdown.
Author: Brice Nocenti [aut, cre]
Maintainer: Brice Nocenti <brice.nocenti@protonmail.com>

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Package rupturesRcpp updated to version 1.0.3 with previous version 1.0.2 dated 2025-11-23

Title: Object-Oriented Interface for Offline Change-Point Detection
Description: A collection of efficient implementations of popular offline change-point detection algorithms, featuring a consistent, object-oriented interface for practical use.
Author: Minh Long Nguyen [aut, cre], Toby Hocking [aut], Charles Truong [aut]
Maintainer: Minh Long Nguyen <edelweiss611428@gmail.com>

Diff between rupturesRcpp versions 1.0.2 dated 2025-11-23 and 1.0.3 dated 2026-09-18

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Package POT updated to version 1.1-12 with previous version 1.1-11 dated 2024-10-17

Title: Generalized Pareto Distribution and Peaks Over Threshold
Description: Some functions useful to perform a Peak Over Threshold analysis in univariate and bivariate cases, see Beirlant et al. (2004) <doi:10.1002/0470012382>. A user guide is available in the vignette.
Author: Christophe Dutang [aut, cre] , Mathieu Ribatet [aut]
Maintainer: Christophe Dutang <dutangc@gmail.com>

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Package ksamplesLTRC updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-30

Title: K-Sample Tests for Truncated and/or Censored Data
Description: Nonparametric analysis and comparison of distributions under left truncation and right censoring. The package includes simulation routines for truncated and/or censored survival data, nonparametric distribution comparison methods based on Kolmogorov-Smirnov-type and Cramér-von Mises-type statistics, and bootstrap routines for p-value approximation. For methodological details, see Lago, de Uña-Álvarez and Pardo-Fernández (2025) <doi:10.1007/s11749-024-00948-4> and Lago, Pardo-Fernández and de Uña-Álvarez (2026) <doi:10.1007/s10985-026-09713-1>.
Author: Adrian Lago [aut, cre], Jacobo de Una-Alvarez [aut], Juan Carlos Pardo-Fernandez [aut]
Maintainer: Adrian Lago <adrian.lago@uvigo.gal>

Diff between ksamplesLTRC versions 0.1.0 dated 2026-07-30 and 0.1.1 dated 2026-09-18

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Package HeatStressR updated to version 2.4.0 with previous version 2.2.1 dated 2026-08-07

Title: Calculate Heat Stress Indices
Description: Calculates heat-stress indices from meteorological observations, including the physically based wet-bulb globe temperature model described by Liljegren et al. (2008) <doi:10.1080/15459620802310770>. The package provides an independently maintained R implementation with row-level diagnostics, configurable physical controls, and batch processing for the Liljegren method; it is not a bitwise-compatible port of the original program, and cross-implementation differences are expected.
Author: Yifei Zheng [aut, cre] , Ana Casanueva [aut]
Maintainer: Yifei Zheng <zyf0717@gmail.com>

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Package GGIRread updated to version 1.0.11 with previous version 1.0.10 dated 2026-08-26

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Further, it has functions for reading text files with epoch level aggregates from 'Actical', 'Fitbit', 'Actiwatch', 'ActiGraph', and 'PhilipsHealthBand'. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Lena Kushleyeva [ctb], Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Jairo H Migueles [ctb], John Muschelli [ctb], Jia Ying Chua [ctb], Medical Research Council UK [cph, fnd], Acceltin [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package taxify updated to version 0.5.5 with previous version 0.5.0 dated 2026-09-02

Title: Offline Taxonomic Name Matching Against Darwin Core Backbones
Description: Match taxonomic names against locally stored Darwin Core backbone databases ('WFO', 'COL', 'GBIF', 'ITIS', 'NCBI Taxonomy', 'Open Tree of Life', 'WoRMS', 'Euro+Med', 'Species Fungorum', 'AlgaeBase', 'FishBase', 'SeaLifeBase', 'Reptile Database', 'LCVP', 'WCVP', 'Mammal Diversity Database', 'AviList', 'LPSN'). Provides offline fuzzy and exact matching with synonym resolution, hybrid name detection, and a unified output schema across all sources. All heavy computation runs in the 'vectra' C11 columnar engine.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between taxify versions 0.5.0 dated 2026-09-02 and 0.5.5 dated 2026-09-18

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More information about taxify at CRAN
Permanent link

Package shinyOAuth updated to version 0.6.1 with previous version 0.6.0 dated 2026-09-17

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

Diff between shinyOAuth versions 0.6.0 dated 2026-09-17 and 0.6.1 dated 2026-09-18

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More information about shinyOAuth at CRAN
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Package Luminescence updated to version 1.3.1 with previous version 1.3.0 dated 2026-07-22

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

Diff between Luminescence versions 1.3.0 dated 2026-07-22 and 1.3.1 dated 2026-09-18

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 Luminescence-1.3.1/Luminescence/R/Luminescence-generics.R                            |   60 
 Luminescence-1.3.1/Luminescence/R/Luminescence-package.R                             |    4 
 Luminescence-1.3.1/Luminescence/R/RLum.Analysis-class.R                              |   31 
 Luminescence-1.3.1/Luminescence/R/RLum.Data.Curve-class.R                            |   27 
 Luminescence-1.3.1/Luminescence/R/RLum.Data.Image-class.R                            |   14 
 Luminescence-1.3.1/Luminescence/R/RLum.Data.Spectrum-class.R                         |   15 
 Luminescence-1.3.1/Luminescence/R/RLum.Results-class.R                               |   15 
 Luminescence-1.3.1/Luminescence/R/Risoe.BINfileData-class.R                          |    5 
 Luminescence-1.3.1/Luminescence/R/Risoe.BINfileData2RLum.Analysis.R                  |   52 
 Luminescence-1.3.1/Luminescence/R/analyse_Al2O3C_CrossTalk.R                         |   19 
 Luminescence-1.3.1/Luminescence/R/analyse_Al2O3C_ITC.R                               |   10 
 Luminescence-1.3.1/Luminescence/R/analyse_Al2O3C_Measurement.R                       |    6 
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 Luminescence-1.3.1/Luminescence/R/analyse_SAR.CWOSL.R                                |   54 
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 Luminescence-1.3.1/Luminescence/R/analyse_SAR.TL.R                                   |   11 
 Luminescence-1.3.1/Luminescence/R/analyse_baSAR.R                                    |    2 
 Luminescence-1.3.1/Luminescence/R/analyse_pIRIRSequence.R                            |   14 
 Luminescence-1.3.1/Luminescence/R/calc_AverageDose.R                                 |    2 
 Luminescence-1.3.1/Luminescence/R/calc_CentralDose.R                                 |   60 
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 Luminescence-1.3.1/Luminescence/R/calc_IEU.R                                         |    4 
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 Luminescence-1.3.1/Luminescence/R/calc_MinDose.R                                     |  177 -
 Luminescence-1.3.1/Luminescence/R/calc_MoransI.R                                     |    2 
 Luminescence-1.3.1/Luminescence/R/calc_OSLLxTxRatio.R                                |   20 
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 Luminescence-1.3.1/Luminescence/R/calc_Statistics.R                                  |   45 
 Luminescence-1.3.1/Luminescence/R/calc_WodaFuchs2008.R                               |    2 
 Luminescence-1.3.1/Luminescence/R/calc_gSGC.R                                        |    7 
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 Luminescence-1.3.1/Luminescence/R/fit_EmissionSpectra.R                              |    9 
 Luminescence-1.3.1/Luminescence/R/fit_IsothermalHolding.R                            |    5 
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 Luminescence-1.3.1/Luminescence/R/fit_OSLLifeTimes.R                                 |   10 
 Luminescence-1.3.1/Luminescence/R/fit_SurfaceExposure.R                              |   20 
 Luminescence-1.3.1/Luminescence/R/get_Layout.R                                       |    8 
 Luminescence-1.3.1/Luminescence/R/internals_RLum.R                                   |   98 
 Luminescence-1.3.1/Luminescence/R/merge_RLum.Analysis.R                              |   23 
 Luminescence-1.3.1/Luminescence/R/merge_RLum.Data.Curve.R                            |   83 
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 Luminescence-1.3.1/Luminescence/R/plot_DRCSummary.R                                  |   11 
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 Luminescence-1.3.1/Luminescence/R/plot_DetPlot.R                                     |   28 
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 Luminescence-1.3.1/Luminescence/R/plot_Histogram.R                                   |   53 
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 Luminescence-1.3.1/Luminescence/man/analyse_pIRIRSequence.Rd                         |    2 
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 Luminescence-1.3.1/Luminescence/man/convert_Daybreak2CSV.Rd                          |    2 
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 Luminescence-1.3.1/Luminescence/man/convert_PSL2Risoe.BINfileData.Rd                 |    2 
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 Luminescence-1.3.1/Luminescence/man/convert_SG2MG.Rd                                 |    2 
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More information about Luminescence at CRAN
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Package ICESat2VegR updated to version 0.0.2 with previous version 0.0.1 dated 2026-09-11

Title: ICESat-2 Data Analysis for Land and Vegetation
Description: Provides tools for downloading, reading, processing, visualizing, and exporting NASA's ICESat-2 ATL03 (Global Geolocated Photon Data) and ATL08 (Land and Vegetation Height) products. Supports photon- and segment-level analysis, spatial sampling, gridding, statistical and machine-learning modeling, and integration with 'Google Earth Engine' (<https://earthengine.google.com/>) for wall-to-wall mapping of vegetation structure and other land attributes.
Author: Carlos Alberto Silva [aut, cph, cre], Caio Hamamura [aut, cph], Cesar Alvites [aut, ctb], Alexander J. Gaskins [aut, ctb], Sunil Arya [ctb, cph] ), David Mount [ctb, cph] ), University of Maryland [cph] ), Chuck Gantz [ctb] , Cole Krehbiel [ctb]
Maintainer: Carlos Alberto Silva <c.silva@ufl.edu>

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More information about ICESat2VegR at CRAN
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Package galah updated to version 2.3.0 with previous version 2.2.0 dated 2026-02-11

Title: Biodiversity Data from the GBIF Node Network
Description: The Global Biodiversity Information Facility ('GBIF', <https://www.gbif.org>) sources data from an international network of data providers, known as 'nodes'. Several of these nodes - the "living atlases" (<https://living-atlases.gbif.org>) - maintain their own web services using software originally developed by the Atlas of Living Australia ('ALA', <https://www.ala.org.au>). 'galah' enables the R community to directly access data and resources hosted by 'GBIF' and its partner nodes.
Author: Martin Westgate [aut, cre], Dax Kellie [aut], Shandiya Balasubramaniam [ctb], Matilda Stevenson [ctb]
Maintainer: Martin Westgate <martin.westgate@csiro.au>

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More information about galah at CRAN
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Package evbsreg updated to version 1.2.0 with previous version 1.0.0 dated 2026-06-30

Title: Local Influence Diagnostics for the Extreme-Value Birnbaum-Saunders Regression Model
Description: Implements local influence diagnostics for the Extreme-Value Birnbaum-Saunders (EVBS) regression model: joint maximum likelihood estimation, conformal normal curvature diagnostics under three perturbation schemes (case-weight, response variable, and explanatory variable), randomized quantile residuals with simulation envelope, Monte Carlo simulation utilities, and publication-quality density and diagnostic plots. Version 1.1.0 adds the density, distribution and quantile functions, the finite upper endpoint, return levels and expected shortfall, block bootstrap standard errors for serially dependent series, local influence diagnostics for the generalized extreme-value regression model, and a GAMLSS family allowing the tail-shape parameter to depend on covariates. Version 1.2.0 adds a prospective control chart for endpoint identifiability. The methods are described in Ospina, Lima, Barros, and Macedo (2026, submitted) and are applied to monthly maximum wind gust data from Itajai, Brazil.
Author: Raydonal Ospina [aut, cre]
Maintainer: Raydonal Ospina <raydonal@de.ufpe.br>

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Package clogitL1 updated to version 1.6 with previous version 1.5 dated 2019-02-02

Title: Fitting Exact Conditional Logistic Regression with Lasso and Elastic Net Penalties
Description: Tools for the fitting and cross validation of exact conditional logistic regression models with lasso and elastic net penalties. Uses cyclic coordinate descent and warm starts to compute the entire path efficiently.
Author: Stephen Reid [aut, cre], Robert Tibshirani [aut]
Maintainer: Stephen Reid <sreid1652@gmail.com>

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Package basetable updated to version 1.4.2 with previous version 1.4.1 dated 2026-09-13

Title: Fast and Memory-Efficient Base R Table Manipulation
Description: A tabular data manipulation, exploration and validation toolkit with a base R-style interface (subset, transform, aggregate, merge, split) and no external computation dependency. Grouping, joins, ordering, filtering, reshaping and delimited-file reading run in a bundled 'C++' engine that uses multiple threads for the heavier operations. Grouped reducers accumulate in compiled code without materialising intermediate columns, so grouped aggregation and counting allocate close to nothing. Results are returned as an ordinary data frame with a light 'basetable' class.
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package prototest updated to version 1.3 with previous version 1.2 dated 2019-02-03

Title: Inference on Prototypes from Clusters of Features
Description: Procedures for testing for group-wide signal in clusters of variables. Tests can be performed for single groups in isolation (univariate) or multiple groups together (multivariate). Specific tests include the exact and approximate (un)selective likelihood ratio tests described in Reid et al (2015), the selective F test and marginal screening prototype test of Reid and Tibshirani (2015). User may pre-specify columns to be included in prototype formation, or allow the function to select them itself. A mixture of these two is also possible. Any variable selection is accounted for using the selective inference framework. Options for non-sampling and hit-and-run null reference distributions.
Author: Stephen Reid [aut, cre]
Maintainer: Stephen Reid <sreid1652@gmail.com>

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Package wsMed updated to version 1.1.0 with previous version 1.0.2 dated 2025-12-11

Title: Within-Subject Mediation Analysis Using Structural Equation Modeling
Description: Within-subject mediation analysis using structural equation modeling. Examine how changes in an outcome variable between two conditions are mediated through one or more variables. Supports within-subject mediation analysis using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>, and extends Monte Carlo confidence interval estimation to missing data scenarios using the 'semmcci' package by Pesigan and Cheung (2023) <doi:10.3758/s13428-023-02114-4>.
Author: Wendie Yang [aut, cre] , Shu Fai Cheung [aut]
Maintainer: Wendie Yang <1581075494q@gmail.com>

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Thu, 17 Sep 2026

Package codyn updated to version 2.0.6 with previous version 2.0.5 dated 2020-12-01

Title: Community Dynamics Metrics
Description: Univariate and multivariate temporal and spatial diversity indices, rank abundance curves, and community stability measures. The functions implement measures that are either explicitly temporal and include the option to calculate them over multiple replicates, or spatial and include the option to calculate them over multiple time points. Functions fall into five categories: static diversity indices, temporal diversity indices, spatial diversity indices, rank abundance curves, and community stability measures. The diversity indices are temporal and spatial analogs to traditional diversity indices. Specifically, the package includes functions to calculate community richness, evenness and diversity at a given point in space and time. In addition, it contains functions to calculate species turnover, mean rank shifts, and lags in community similarity between two time points. Details of the methods are available in Hallett et al. (2016) <doi:10.1111/2041-210X.12569> and Avolio et al. ( [...truncated...]
Author: Lauren Hallett [aut] , Meghan L. Avolio [aut] , Ian T. Carroll [aut] , Sydney K. Jones [aut], A. Andrew M. MacDonald [aut] , Dan F. B. Flynn [aut] , Peter Slaughter [aut] , Julie Ripplinger [aut] , Scott L. Collins [aut] , Corinna Gries [aut] , Matth [...truncated...]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

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Package stpphawkes updated to version 0.2.4 with previous version 0.2.2 dated 2025-03-10

Title: Missing Data for Marked Hawkes Process
Description: Estimation of model parameters for marked Hawkes process. Accounts for missing data in the estimation of the parameters. Technical details found in (Tucker et al., 2019 <DOI:10.1016/j.spasta.2018.12.004>).
Author: J. Derek Tucker [aut, cre], Lyndsay Shand [aut], Stephen Rowe [aut], John Lewis [aut]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

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Package Rdistance updated to version 4.5.0 with previous version 4.4.3 dated 2026-05-14

Title: Density and Abundance from Distance-Sampling Surveys
Description: Distance-sampling (<doi:10.1007/978-3-319-19219-2>) is a field survey and analytical method that estimates density and abundance of survey targets (e.g., animals) when detection probability declines with observation distance. Distance-sampling is popular in ecology, especially when survey targets are observed from aerial platforms (e.g., airplane or drone), surface vessels (e.g., boat or truck), or along walking transects. Analysis involves fitting smooth (parametric) curves to histograms of observation distances and using those functions to adjust density estimates for missed targets. Routines included here fit curves to observation distance histograms, estimate effective sampling area, density of targets in surveyed areas, and the abundance of targets in a surrounding study area. Confidence interval estimation uses built-in bootstrap resampling. Help files are extensive and have been vetted by multiple authors. Many tutorials are available on the package's website (URL below).
Author: Trent McDonald [cre, aut], Jason Carlisle [aut], Aidan McDonald [aut] , Ryan Nielson [ctb] , Ben Augustine [ctb] , James Griswald [ctb] , Patrick McKann [ctb] , Lacey Jeroue [ctb] , Hoffman Abigail [ctb] , Kleinsausser Michael [ctb] , Joel Reynolds [ [...truncated...]
Maintainer: Trent McDonald <trent@mcdonalddatasciences.com>

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Package mvBayes updated to version 1.2.3 with previous version 1.2.2 dated 2026-07-30

Title: Multivariate Bayesian Regression
Description: Fit, plot, and predict a multivariate response, using an arbitrary univariate Bayesian regression model to independently fit basis components (e.g., principal components) of the response (Francom et al., 2025 <DOI:10.1137/24M1644092>).
Author: Gavin Collins [aut, ctb], J. Derek Tucker [ctb, cre] , Sandia National Laboratories [cph, fnd]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

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Package BayesPPR updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-18

Title: Bayesian Projection Pursuit Regression
Description: Bayesian fitting of projection pursuit regression model. Built to handle continuous and categorical inputs and scalar output (Collins et al., 2023 <DOI:10.1007/s11222-023-10334-z>).
Author: Gavin Collins [aut, ctb], J. Derek Tucker [ctb, cre]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

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Package RTMB updated to version 2.0 with previous version 1.9 dated 2026-03-20

Title: 'R' Bindings for 'TMB'
Description: Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMB' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package dataseries updated to version 1.1.0 with previous version 1.0.0 dated 2026-06-13

Title: Switzerland's Data Series in One Place
Description: Download and import open Swiss economic time series from 'dataseries.org' <https://dataseries.org>, a comprehensive and up-to-date collection of public data from Switzerland. Series are retrieved through the public 'dataseries.org' API and imported as a 'data.frame' or 'ts' object.
Author: Christoph Sax [aut, cre, cph], Jannes Muenchow [ctb]
Maintainer: Christoph Sax <christoph.sax@gmail.com>

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Package tinytex updated to version 0.61 with previous version 0.60 dated 2026-06-16

Title: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] , Posit Software, PBC [cph, fnd], Christophe Dervieux [ctb] , Devon Ryan [ctb] , Ethan Heinzen [ctb], Fernando Cagua [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package roundRobinR updated to version 2.0.0 with previous version 1.0.1 dated 2026-04-21

Title: Manipulate and Analyze Round Robin Dyadic Data
Description: Provides utilities for processing and analyzing dyadic data collected using a round-robin design, in which each person in a group rates or interacts with every other person on at least one variable. Data manipulation functions prepare datasets for dyadic data analysis by creating the actor and partner dummy variables required by the social relations model (SRM). Analysis functions implement the SRM using multilevel modeling via a custom 'nlme' covariance class ('pdSRM'), following the approach of Snijders and Kenny (1999) <doi:10.1111/j.1475-6811.1999.tb00204.x> and Knight and Humphrey (2019) <doi:10.1037/0000115-019>. The package estimates group, actor, partner, and relationship variance components along with generalized and dyadic reciprocity correlations, and supports both null and fixed-effects models.
Author: Andrew Knight [aut, cre, cph]
Maintainer: Andrew Knight <knightap@wustl.edu>

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Package nnR updated to version 0.2.0 with previous version 0.1.0 dated 2024-02-14

Title: Neural Networks Made Algebraic
Description: Build, compose, stack, sum, and realize feed-forward neural networks as algebraic objects. Implements the calculus and constructive approximations described by Rafi, Padgett, and Nakarmi (2024) <doi:10.48550/arXiv.2402.01058>, Grohs, Hornung, Jentzen, et al. (2023) <doi:10.1007/s10444-022-09970-2>, and Jentzen, Kuckuck, and von Wurstemberger (2023) <doi:10.48550/arXiv.2310.20360>. Includes neural network polynomials, transcendental-function approximations, multidimensional maximum convolution, and vectorized batch realization.
Author: Shakil Rafi [aut, cre] , Joshua Lee Padgett [aut] , Ukash Nakarmi [ctb]
Maintainer: Shakil Rafi <sarafi@uark.edu>

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Package netmeta updated to version 3.7-0 with previous version 3.6-1 dated 2026-06-20

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <doi:10.1002/jrsm.1058>; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <doi:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>; - ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to [...truncated...]
Author: Gerta Ruecker [aut] , Ulrike Krahn [aut], Jochem Koenig [aut] , Orestis Efthimiou [aut] , Annabel Davies [aut] , Theodoros Papakonstantinou [aut] , Theodoros Evrenoglou [ctb] , Krzysztof Ciomek [ctb] , Nana-adjoa Kwarteng [ctb] , Noosheen R. Tahmasebi [...truncated...]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package atime updated to version 2026.9.17 with previous version 2026.4.2 dated 2026-04-04

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package shinyreprex updated to version 0.3.0 with previous version 0.2.0 dated 2026-06-29

Title: Reproducible Code for 'Shiny' Objects
Description: Provides functionality to extract reactive expressions from a 'shiny' application and convert them into stand-alone R scripts. This enables users to reproduce tables and visualisations outside the interactive UI, facilitating integration into static reports or automated workflows without requiring access to the original application source code.
Author: Ashley Baldry [aut, cre]
Maintainer: Ashley Baldry <ashley.baldry@acuityanalytics.com>

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Package ssutil updated to version 1.2.0 with previous version 1.1.0 dated 2026-09-06

Title: Sample Size Calculation Tools
Description: Functions for sample size estimation and simulation in clinical trials. Includes methods for selecting the best group using the Indifference-zone approach, as well as designs for non-inferiority, equivalence, and negative binomial models. For the sample size calculation for non-inferiority of vaccines, the approach is based on Fleming, Powers, and Huang (2021) <doi:10.1177/1740774520988244>. The Indifference-zone approach is based on Sobel and Huyett (1957) <doi:10.1002/j.1538-7305.1957.tb02411.x> and Bechhofer, Santner, and Goldsman (1995, ISBN:978-0-471-57427-9).
Author: John J. Aponte [aut, cre] , Chris Gast [ctb]
Maintainer: John J. Aponte <john.j.aponte@gmail.com>

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Package quadrupen updated to version 1.1-0 with previous version 1.0-0 dated 2026-06-05

Title: Sparse and Group Sparse Linear Models
Description: Fits the solution paths of classical sparse regression models with efficient active set algorithms by solving small sub-problems. Include LASSO, SCAD, MCP, (Sparse) Group-LASSO, Cooperative-LASSO, (Group) LAVA, (Generalized) Fused-Lasso and (Generalized) Elastic-Net. Also provides methods for model selection purpose (information criteria, cross-validation, stability selection).
Author: Julien Chiquet [aut, cre]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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More information about quadrupen at CRAN
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Package locuszoomr updated to version 1.1.0 with previous version 1.0.0 dated 2026-09-03

Title: Gene Locus Plot with Gene Annotations
Description: Publication-ready regional gene locus plots similar to those produced by the web interface 'LocusZoom' <https://my.locuszoom.org>, but running locally in R. Genetic or genomic data with gene annotation tracks are plotted via R base graphics, 'ggplot2' or 'plotly', allowing flexibility and easy customisation including laying out multiple locus plots on the same page. It uses the 'LDlink' API <https://ldlink.nih.gov/?tab=apiaccess> to query linkage disequilibrium data from the 1000 Genomes Project and can overlay this on plots <doi:10.1093/bioadv/vbaf006>.
Author: Myles Lewis [aut, cre] , Tom Willis [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between locuszoomr versions 1.0.0 dated 2026-09-03 and 1.1.0 dated 2026-09-17

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More information about locuszoomr at CRAN
Permanent link


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