Sun, 24 May 2026

Package DATAstudio updated to version 1.2.4 with previous version 1.2.3 dated 2026-02-11

Title: The Research Data Warehouse of Miguel de Carvalho
Description: Pulls together a collection of datasets from Miguel de Carvalho research articles and books. Including, for example: - de Carvalho (2012) <doi:10.1016/j.jspi.2011.08.016>; - de Carvalho et al (2012) <doi:10.1080/03610926.2012.709905>; - de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>); - de Carvalho and Davison (2014) <doi:10.1080/01621459.2013.872651>; - de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>; - de Carvalho et al (2023) <doi:10.1002/sta4.560>; - de Carvalho et al (2022) <doi:10.1007/s13253-021-00469-9>; - Palacios et al (2025) <doi:10.1214/24-BA1420>.
Author: Miguel de Carvalho [aut, cre]
Maintainer: Miguel de Carvalho <Miguel.deCarvalho@ed.ac.uk>

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Package inteli updated to version 0.2.0 with previous version 0.1.2 dated 2026-01-07

Title: Interval Estimation by Likelihood Method
Description: Currently used CI method has its limitation when the test statistics are asymmetrical (chi-square test, F-test) or the model functions are non-linear. It can be overcome by using the likelihood functions for the interval estimation. 'inteli' package now supports interval estimation for the mean, variance, variance ratio, binomial distribution, Poisson distribution, odds ratio, risk difference, relative risk and their likelihood function plots. Testing functions are also provided.
Author: Minkyu Kim [aut, cre], Kyun-Seop Bae [aut]
Maintainer: Minkyu Kim <mkim@acr.kr>

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Package gap updated to version 1.15.1 with previous version 1.14 dated 2026-02-19

Title: Genetic Analysis Package
Description: As first reported [Zhao, J. H. 2007. "gap: Genetic Analysis Package". J Stat Soft 23(8):1-18. <doi:10.18637/jss.v023.i08>], it is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, probability of familial disease aggregation, kinship calculation, statistics in linkage analysis, and association analysis involving genetic markers including haplotype analysis with or without environmental covariates. Over years, the package has been developed in-between many projects hence also in line with the name (gap).
Author: Jing Hua Zhao [aut, cre] , Kurt Hornik [ctb], Brian Ripley [ctb], Uwe Ligges [ctb], Achim Zeileis [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

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Package Fragman updated to version 1.1.0 with previous version 1.0.9 dated 2018-01-14

Title: Fragment Analysis in R
Description: Performs fragment analysis using genetic data coming from capillary electrophoresis machines. These are files with FSA extension which stands for FASTA-type file, and .txt files from Beckman CEQ 8000 system, both contain DNA fragment intensities read by machinery. In addition to visualization, it performs automatic scoring of SSRs (Sample Sequence Repeats; a type of genetic marker very common across the genome) and other type of PCR markers (standing for Polymerase Chain Reaction) in biparental populations such as F1, F2, BC (backcross), and diversity panels (collection of genetic diversity).
Author: Giovanny Covarrubias-Pazaran [aut, cre] , Luis Diaz-Garcia [aut], Brandon Schlautman [aut], Walter Salazar [aut], Juan Zalapa [aut]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package edar updated to version 0.0.7 with previous version 0.0.6 dated 2025-11-25

Title: Convenient Functions for Exploratory Data Analysis
Description: A collection of convenient functions to facilitate common tasks in exploratory data analysis. Some common tasks include generating summary tables of variables, displaying tables as a 'flextable' or a 'kable' and visualising variables using 'ggplot2'. Labels stating the source file with run time can be easily generated for annotation in tables and plots.
Author: Tomas Sou [aut, cre]
Maintainer: Tomas Sou <tomas.sou@carexer.com>

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Package bpbounds updated to version 0.1.7 with previous version 0.1.6 dated 2024-06-13

Title: Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions
Description: Implementation of the nonparametric bounds for the average causal effect under an instrumental variable model by Balke and Pearl (Bounds on Treatment Effects from Studies with Imperfect Compliance, JASA, 1997, 92, 439, 1171-1176, <doi:10.1080/01621459.1997.10474074>). The package can calculate bounds for a binary outcome, a binary treatment/phenotype, and an instrument with either 2 or 3 categories. The package implements bounds for situations where these 3 variables are measured in the same dataset (trivariate data) or where the outcome and instrument are measured in one study and the treatment/phenotype and instrument are measured in another study (bivariate data).
Author: Tom Palmer [aut, cre] , Roland Ramsahai [aut] , Vanessa Didelez [aut] , Nuala Sheehan [aut]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package RFIF readmission to version 1.0.2 with previous version 1.0.1 dated 2026-04-10

Title: Fast Iterative Filtering (FIF) with Portable FFT Backend
Description: Provides an R interface to a C implementation of Fast Iterative Filtering (FIF) for decomposing a univariate signal into intrinsic mode functions (IMFs) and a residual. The package uses Fast Fourier Transform library FFTW, if found. If not, it provides instructions to install it for your OS. This is recommended, as R's internal fft(), while avoiding external FFT dependencies, is two orders of magnitude slower. See vignette 'Installing FFTW for RFIF' for RFIF installation instructions.
Author: Chuck Coleman [aut, cre]
Maintainer: Chuck Coleman <cdcoleman113@gmail.com>

This is a re-admission after prior archival of version 1.0.1 dated 2026-04-10

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Package nhlscraper updated to version 0.6.1 with previous version 0.6.0 dated 2026-04-07

Title: Scraper for National Hockey League Data
Description: Scrapes and cleans data from the 'NHL' and 'ESPN' APIs into data.frames and lists. Wraps 125+ endpoints documented in <https://github.com/RentoSaijo/nhlscraper/wiki> from high-level multi-season summaries and award winners to low-level decisecond replays and bookmakers' odds, making them more accessible. Features cleaning and visualization tools, primarily for play-by-plays.
Author: Rento Saijo [aut, cre, cph] , Lars Skytte [ctb], Jack Pallotta [ctb]
Maintainer: Rento Saijo <rentosaijo0527@gmail.com>

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Package geocodebr updated to version 0.6.3 with previous version 0.6.2 dated 2026-04-13

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

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Package bayestestR updated to version 0.18.1 with previous version 0.18.0 dated 2026-05-21

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Micah K. Wilson [aut] , Brenton M. Wiernik [aut] , Paul-Christian Buerkner [rev], Tristan Mahr [rev] , Henrik Singmann [ctb] , Quentin F. Gron [...truncated...]
Maintainer: Dominique Makowski <officialeasystats@gmail.com>

Diff between bayestestR versions 0.18.0 dated 2026-05-21 and 0.18.1 dated 2026-05-24

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Package thisutils updated to version 0.4.7 with previous version 0.4.5 dated 2026-04-24

Title: Collection of Utility Functions for Data Analysis and Computing
Description: Provides utility functions for data analysis and computing. Includes functions for logging, parallel processing, and other computational tasks to streamline workflows.
Author: Meng Xu [aut, cre] , Haoliang Zhu [aut]
Maintainer: Meng Xu <mengxu98@qq.com>

Diff between thisutils versions 0.4.5 dated 2026-04-24 and 0.4.7 dated 2026-05-24

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Package see updated to version 0.14.0 with previous version 0.13.0 dated 2026-01-30

Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Description: Provides plotting utilities supporting packages in the 'easystats' ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, inv] , Indrajeet Patil [aut] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Philip Waggoner [aut, ctb] , Jeffrey R. Stevens [ctb] , Matthew Smith [ [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

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Package ScottKnott updated to version 1.4-0 with previous version 1.3-3 dated 2025-03-15

Title: The ScottKnott Clustering Algorithm
Description: Performs the Scott & Knott (1974) clustering algorithm as a multiple comparison method in the Analysis of Variance context, for both balanced and unbalanced <doi:10.1590/1984-70332017v17n1a1> designs. Accepts input from 'formula', 'aov', 'lm', 'aovlist', and 'lmerMod' objects.
Author: J. C. Faria [aut], E. G. Jelihovschi [aut], I. B. Allaman [aut, cre]
Maintainer: I. B. Allaman <ivanalaman@gmail.com>

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Package parameters updated to version 0.29.1 with previous version 0.29.0 dated 2026-05-09

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Soeren Hoejsgaard [aut], Brenton M. Wiernik [aut] , Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] , Jeffrey Girard [ctb] , Christina Maimone [re [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between parameters versions 0.29.0 dated 2026-05-09 and 0.29.1 dated 2026-05-24

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Package TukeyC updated to version 1.4-0 with previous version 1.3-44 dated 2026-02-25

Title: Conventional Tukey Test
Description: Performs multiple comparison analyses using Tukey's Honestly Significant Difference (HSD) test, with intuitive letter grouping of means for balanced and unbalanced designs. Accepts input from 'formula', 'aov', 'lm', 'aovlist', and 'lmerMod' objects, including straightforward handling of interactions. For more details see Tukey (1949) <doi:10.2307/3001913>.
Author: J. C. Faria [aut], E. G. Jelihovschi [aut], I. B. Allaman [aut, cre]
Maintainer: I. B. Allaman <ivanalaman@gmail.com>

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Package mpmaggregate updated to version 0.2.6 with previous version 0.2.5 dated 2026-04-03

Title: Aggregate Matrix Population Models
Description: Aggregates matrix population models (MPMs) in both the lambda (stable growth rate) and R0 (net reproductive rate) frameworks, including standard and elasticity-consistent aggregators. Standard aggregation in the lambda framework maintains consistent lambda and stable stage distribution, while standard aggregation in the R0 framework maintains consistent R0 and cohort stable stage distribution. Elasticity-consistent aggregators maintain these same consistencies with respect to the chosen framework and additionally preserve consistent reproductive values in the lambda framework and cohort reproductive values in the R0 framework. Aggregation can take the form of general-to-general MPM (mpm_aggregate) or Leslie-to-Leslie MPM (leslie_aggregate).
Author: Richard A. Hinrichsen [aut, cre] , Roberto Salguero-Gomez [aut] , Hiroyuki Yokomizo [aut]
Maintainer: Richard A. Hinrichsen <r.hinrichsen.ecology@gmail.com>

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Package likelihood.model updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-19

Title: Likelihood-Based Statistical Inference in the Fisherian Tradition
Description: Facilitates building likelihood models in the Fisherian tradition following Richard Royall (1997, ISBN:978-0412044113) "Statistical Evidence: A Likelihood Paradigm". Defines generic methods for working with likelihoods (loglik(), score(), hess_loglik(), fim()) and provides functions for pure likelihood-based inference (support(), relative_likelihood(), likelihood_interval(), profile_loglik()).
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

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Package swash updated to version 2.0.1 with previous version 2.0.0 dated 2026-04-06

Title: Health Geography Toolbox for Model-Based Analysis of Infections Panel Data
Description: Within epidemic outbreaks, infections grow and decline differently between regions, and the velocity of spatial spread differs between countries. The swash library offers a set of model-based analyses for these topics. Spread velocity may be analysed with the Swash-Backwash Model for the Single Epidemic Wave and corresponding functions for bootstrap confidence intervals, country comparison, and visualization of results. Differences in epidemic growth between regions may be analysed using logistic growth models, exponential growth models, Hawkes processes and breakpoint analyses. All functionalities are accessed by the class "infpan" for infections panel data defined in this package, which is built from a data.frame provided by the user.
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>

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More information about swash at CRAN
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Package spatstat.explore updated to version 3.8-1 with previous version 3.8-0 dated 2026-03-22

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

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More information about spatstat.explore at CRAN
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Package clinpubr updated to version 1.4.0 with previous version 1.3.0 dated 2026-03-07

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>

Diff between clinpubr versions 1.3.0 dated 2026-03-07 and 1.4.0 dated 2026-05-24

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Permanent link

Package thisplot updated to version 0.4.0 with previous version 0.3.8 dated 2026-04-24

Title: Utility Functions for Plotting
Description: Provides utility functions for plotting. Includes functions for color manipulation, plot customization, panel size control, data optimization for plots, and layout adjustments.
Author: Meng Xu [aut, cre] , Haoliang Zhu [aut]
Maintainer: Meng Xu <mengxu98@qq.com>

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Package pboost updated to version 0.4.11 with previous version 0.4.8 dated 2026-05-13

Title: Profile Boosting Framework for Parametric Models
Description: A profile boosting framework for feature selection in parametric models. It offers a unified interface pboost() and several wrapped models, including linear model, generalized linear models, quantile regression, Cox proportional hazards model, beta regression, spatial auto-regressive models.
Author: Zengchao Xu [aut, cre, cph]
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>

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Package spatstat.random updated to version 3.5-0 with previous version 3.4-5 dated 2026-03-22

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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Sat, 23 May 2026

Package fetwfe updated to version 1.10.0 with previous version 1.5.0 dated 2025-07-02

Title: Fused Extended Two-Way Fixed Effects
Description: Calculates the fused extended two-way fixed effects (FETWFE) estimator for unbiased and efficient estimation of difference-in-differences in panel data with staggered treatment adoption. This estimator eliminates bias inherent in conventional two-way fixed effects estimators, while also employing a novel bridge regression regularization approach to improve efficiency and yield valid standard errors. Also implements extended TWFE (etwfe) and bridge-penalized ETWFE (betwfe). Provides S3 classes for streamlined workflow and supports flexible tuning (ridge and rank-condition guarantees), automatic covariate centering/scaling, and detailed overall and cohort-specific effect estimates with valid standard errors. Includes simulation and formatting utilities, extensive diagnostic tools, vignettes, and examples. See Faletto (2025) (<doi:10.48550/arXiv.2312.05985>).
Author: Gregory Faletto [aut, cre]
Maintainer: Gregory Faletto <gfaletto@gmail.com>

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Package betaARMA updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-15

Title: Beta Autoregressive Moving Average Models
Description: Fits Beta Autoregressive Moving Average (BARMA) models for time series data distributed in the standard unit interval (0, 1). The estimation is performed via the conditional maximum likelihood method using the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton algorithm. A ridge penalization scheme is available to improve numerical stability of the estimation, as proposed by Cribari-Neto, Costa and Fonseca (2025) <doi:10.1214/25-BJPS645>. The package includes tools for model fitting, diagnostic checking, and forecasting, along with two hydro-environmental datasets from Brazil. Based on the work of Rocha and Cribari-Neto (2009) <doi:10.1007/s11749-008-0112-z> and the associated erratum Rocha and Cribari-Neto (2017) <doi:10.1007/s11749-017-0528-4>. The original code was developed by Fabio M. Bayer.
Author: Everton da Costa [aut, cre] , Francisco Cribari-Neto [ctb, ths] , Vinicius Scher [ctb]
Maintainer: Everton da Costa <everto.cost@gmail.com>

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Package glasstabs updated to version 0.3.2 with previous version 0.2.1 dated 2026-04-11

Title: Animated Glass-Style Tabs and Multi-Select Filter for 'Shiny'
Description: Tools for creating animated glassmorphism-style tab navigation and select filter widgets in 'Shiny' applications. Provides a tab navigation component with a sliding glass halo animation, a searchable multi-select dropdown, and a single-select dropdown — all with multiple colour themes and server-side update helpers. Tabs support icons, numeric badges, disable/enable toggling, runtime append/remove, reactive rendering via 'renderGlassTabs()', URL bookmarking, and compact mode for dashboard card layouts. 'glassTabCondition()' generates 'conditionalPanel()' condition strings without needing to recall the internal input key pattern. 'glasstabs_news()' displays the release notes from the R console. Built-in example apps can be launched with 'runGlassExample()'. All widgets are compatible with standard 'Shiny' layouts and 'bs4Dash' dashboards. For full documentation and examples see Arthur (2026) <https://prigasg.github.io/glasstabs/>.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

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Package allometry updated to version 0.2.0 with previous version 0.1.1 dated 2025-07-17

Title: Examples of Datasets on Allometry
Description: Examples of datasets on allometry, the study of the relationship of biological traits to body size. This package contains the datasets of morphological measurement taken from 113 maritime earwigs (Anisolabis maritima) by Matsuzawa and Konuma (2025) <doi:10.1093/biolinnean/blaf031>, and taken from 507 Helm’s stag beetles (Geodorcus helmsi) collected by Grey et al. (2025) <doi:10.1093/biolinnean/blae024>.
Author: Takeshi Abe [aut, cre]
Maintainer: Takeshi Abe <tabe@fixedpoint.jp>

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Package PathwaySpace updated to version 1.3.0 with previous version 1.2.0 dated 2026-04-25

Title: Spatial Projection of Network Signals along Geodesic Paths
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' has various applications, such as visualizing network data in a graphical format that highlights the relationships and signal strengths between vertices. By combining graph theory, signal processing, and visualization, 'PathwaySpace' provides a way of representing graph data on a continuous projection space. Based on methods introduced in Tercan et al. (2025) <doi:10.1016/j.xpro.2025.103681> and Ellrott et al. (2025) <doi:10.1016/j.ccell.2024.12.002>.
Author: Sysbiolab Team [aut], Victor Apolonio [ctb], Jonathan Back [ctb], Lana Querne [ctb], Vinicius Chagas [ctb], Bahar Tercan [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package ggdiagram updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-14

Title: Object-Oriented Diagram Plots with 'ggplot2'
Description: Creates diagrams with an object-oriented approach. Geometric objects have computed properties with information about themselves (e.g., their area) or about their relationships with other objects (e.g, the distance between their edges). The objects have methods to convert them to geoms that can be plotted in 'ggplot2'.
Author: W. Joel Schneider [aut, cre]
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>

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Package RTL updated to version 1.3.9 with previous version 1.3.7 dated 2025-02-25

Title: Risk Tool Library - Trading, Risk, Analytics for Commodities
Description: A toolkit for Commodities 'analytics', risk management and trading professionals. Includes functions for API calls to <https://www.zema.global/platforms/zema-marketplace>, <https://developer.genscape.com/>, and <https://www.bankofcanada.ca/valet/docs>.
Author: Philippe Cote [aut, cre], Nima Safaian [aut]
Maintainer: Philippe Cote <pcote@ualberta.ca>

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Package QCAcluster readmission to version 0.2.0 with previous version 0.1.0 dated 2021-10-26

Title: Tools for the Analysis of Clustered Data in QCA
Description: Clustered set-relational data in Qualitative Comparative Analysis (QCA) can have a hierarchical structure, a panel structure or repeated cross sections. 'QCAcluster' allows researchers to supplement the analysis of pooled the data with a differentiated perspective focusing on selected partitions of the data. The pooled data can be partitioned along the dimensions of the clustered data (individual cross sections or time series) to perform partition-specific truth table minimization. Empirical researchers can further calculate the weight that each partition has on the parameters of the pooled solution and the diversity of the cases under analysis within and across partitions (see <https://ingorohlfing.github.io/QCAcluster/>).
Author: Ingo Rohlfing [aut, cre] , Ayjeren Bekmuratovna [aut], Jan Schwalbach [aut]
Maintainer: Ingo Rohlfing <ingo.rohlfing@uni-passau.de>

This is a re-admission after prior archival of version 0.1.0 dated 2021-10-26

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Package highMLR updated to version 1.0.1 with previous version 0.1.1 dated 2022-07-18

Title: Machine Learning Feature Selection for High Dimensional Survival Data
Description: A unified, flexible framework for high dimensional feature selection in the presence of a survival outcome. Provides multiple machine learning approaches (Cox elastic net, random survival forest, accelerated oblique random survival forest, gradient-boosted Cox, stability selection, classical univariate Cox screening, pseudo- observation bridging to arbitrary regression learners, and Fine-Gray competing risks selection) under a single interface. Adds causal survival forest estimation of heterogeneous treatment effects on survival (experimental), conformal survival prediction with finite- sample coverage guarantees, and time-dependent 'SHAP' explanations via 'SurvSHAP(t)'. Methodology is based on regularised Cox regression (2011) <doi:10.18637/jss.v039.i05>, random survival forests (2008) <doi:10.1214/08-AOAS169>, oblique random survival forests (2024) <doi:10.1080/10618600.2023.2231048>, stability selection (2010) <doi:10.1111/j.1467-9868.2010.00740.x>, causal su [...truncated...]
Author: Atanu Bhattacharjee [aut, cre]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>

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Package voluModel readmission to version 0.2.4 with previous version 0.2.3 dated 2025-07-18

Title: Modeling Species Distributions in Three Dimensions
Description: Facilitates modeling species' ecological niches and geographic distributions based on occurrences and environments that have a vertical as well as horizontal component, and projecting models into three-dimensional geographic space. Working in three dimensions is useful in an aquatic context when the organisms one wishes to model can be found across a wide range of depths in the water column. The package also contains functions to automatically generate marine training model training regions using machine learning, and interpolate and smooth patchily sampled environmental rasters using thin plate splines. Davis Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>. Nychka D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>. Pateiro-Lopez B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.
Author: Hannah L. Owens [aut, cre, cph] , Emmaline Sheahan [aut] , Carsten Rahbek [aut]
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

This is a re-admission after prior archival of version 0.2.3 dated 2025-07-18

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Package verifyr2 updated to version 1.2.0 with previous version 1.1.0 dated 2026-01-08

Title: Compare and Verify File Contents
Description: Extendable 'R6' file comparison classes, including a 'shiny' app for combining the comparison functionality into a file comparison application. The package idea originates from pharma companies' drug development processes, where statisticians and statistical programmers need to review and compare different versions of the same outputs and datasets. The package implementation itself is not tied to any specific industry and can be used in any context for easy file comparisons between different file version sets.
Author: Juha Javanainen [aut, cre], Tiina Kirsilae [ctb], Anna Wiksten [ctb]
Maintainer: Juha Javanainen <ejuhjav@gmail.com>

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Package spatstat.geom updated to version 3.8-1 with previous version 3.7-3 dated 2026-03-23

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 SpaDES.core updated to version 3.1.2 with previous version 3.1.0 dated 2026-05-19

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system to implement a complete data-to-decisions, reproducible workflow. The core components facilitate the development of modular pieces, and enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the within-project dependencies.
Author: Alex M Chubaty [aut] , Eliot J B McIntire [aut, cre] , Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package serieshaz updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-13

Title: Series System Distributions from Dynamic Failure Rate Components
Description: Compose multiple dynamic failure rate distributions into series system distributions where the system hazard equals the sum of component hazards. Supports hazard, survival, cumulative distribution function, density, sampling, and maximum likelihood estimation fitting via the dfr_dist() class from 'flexhaz'. Series distributions implement the 'dist.structure' protocol so structural queries (phi, min_paths, min_cuts, system_signature, structural importance, reliability, dual) and the importance measures from 'dist.structure' work directly on serieshaz objects. Methods for series system reliability follow Barlow and Proschan (1975, ISBN:0898713692).
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

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Package qtlcharts updated to version 0.20 with previous version 0.18 dated 2025-05-10

Title: Interactive Graphics for QTL Experiments
Description: Web-based interactive charts (using D3.js) for the analysis of experimental crosses to identify genetic loci (quantitative trait loci, QTL) contributing to variation in quantitative traits. Broman (2015) <doi:10.1534/genetics.114.172742>.
Author: Karl W Broman [aut, cre] , Michael Bostock [ctb, cph] , jQuery Foundation [cph] , jQuery contributors [ctb] , jQuery UI contributors [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package PublicationBiasBenchmark updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-16

Title: Benchmark for Publication Bias Correction Methods
Description: Implements a unified interface for benchmarking meta-analytic publication bias correction methods through simulation studies (see Bartoš et al., 2025, <doi:10.48550/arXiv.2510.19489>). It provides 1) predefined data-generating mechanisms from the literature, 2) functions for running meta-analytic methods on simulated data, 3) pre-simulated datasets and pre-computed results for reproducible benchmarks, 4) tools for visualizing and comparing method performance.
Author: Frantisek Bartos [aut, cre] , Samuel Pawel [aut] , Bjoern S. Siepe [aut] , Petr Čala [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package otargen updated to version 2.0.1 with previous version 2.0.0 dated 2025-07-15

Title: Access Open Target
Description: Interact seamlessly with Open Target GraphQL endpoint to query and retrieve tidy data tables, facilitating the analysis of gene, disease, drug, and genetic data. For more information about the Open Target API (<https://platform.opentargets.org/api>).
Author: Amir Feizi [aut, cre]
Maintainer: Amir Feizi <afeizi@gmail.com>

Diff between otargen versions 2.0.0 dated 2025-07-15 and 2.0.1 dated 2026-05-23

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Package mdbr updated to version 0.3.0 with previous version 0.2.1 dated 2024-03-12

Title: Work with Microsoft Access Files
Description: Work with Microsoft Access '.mdb' and '.accdb' files using the open source 'MDB Tools' library <https://github.com/mdbtools/mdbtools/>. The library is compiled and bundled with the package, so no external installation is required. Provides high-level helpers for reading tables, exporting to CSV or JSON, inspecting table definitions, and running SQL queries. Also exposes a full read-only 'DBI' interface for use with standard database workflows.
Author: Kiernan Nicholls [aut, cre, cph] , Bruno Tremblay [ctb]
Maintainer: Kiernan Nicholls <k5cents@gmail.com>

Diff between mdbr versions 0.2.1 dated 2024-03-12 and 0.3.0 dated 2026-05-23

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Package lpdensity updated to version 3.0.1 with previous version 3.0 dated 2026-05-21

Title: Local Polynomial Density Estimation and Inference
Description: Implements local polynomial distribution and density methods for point estimation, inference and bandwidth selection, documented in Cattaneo, Jansson and Ma (2020) <doi:10.1080/01621459.2019.1635480>, Cattaneo, Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>, and Cattaneo, Jansson and Ma (2024) <doi:10.1016/j.jeconom.2021.01.006>. lpdensity() constructs local polynomial distribution and density estimators with robust bias-corrected inference, and lpbwdensity() implements data-driven bandwidth selection.
Author: Matias D. Cattaneo [aut, cre], Michael Jansson [aut], Xinwei Ma [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

Diff between lpdensity versions 3.0 dated 2026-05-21 and 3.0.1 dated 2026-05-23

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Package igoR updated to version 1.0.2 with previous version 1.0.1 dated 2026-03-13

Title: Access the Intergovernmental Organizations Database
Description: Tools for searching, extracting and recoding information from the Intergovernmental Organizations ('IGO') Database (v3), distributed by the Correlates of War Project <https://correlatesofwar.org/>. See also Pevehouse, J. C. et al. (2020) <doi:10.1177/0022343319881175>.
Author: Diego Hernangomez [aut, cre, cph] , The Correlates of War Project [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package hydroloom updated to version 1.2.0 with previous version 1.1.2 dated 2026-02-20

Title: Utilities to Weave Hydrologic Fabrics
Description: A collection of utilities that support creation of network attributes for hydrologic networks. Methods and algorithms implemented are documented in Moore et al. (2019) <doi:10.3133/ofr20191096>), Cormen and Leiserson (2022) <ISBN:9780262046305> and Verdin and Verdin (1999) <doi:10.1016/S0022-1694(99)00011-6>.
Author: David Blodgett [aut, cre] , Andrew Psoras [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between hydroloom versions 1.1.2 dated 2026-02-20 and 1.2.0 dated 2026-05-23

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More information about hydroloom at CRAN
Permanent link

Package gapclosing readmission to version 1.0.3 with previous version 1.0.2 dated 2021-10-11

Title: Estimate Gaps Under an Intervention
Description: Provides functions to estimate the disparities across categories (e.g. Black and white) that persists if a treatment variable (e.g. college) is equalized. Makes estimates by treatment modeling, outcome modeling, and doubly-robust augmented inverse probability weighting estimation, with standard errors calculated by a nonparametric bootstrap. Cross-fitting is supported. Survey weights are supported for point estimation but not for standard error estimation; those applying this package with complex survey samples should consult the data distributor to select an appropriate approach for standard error construction, which may involve calling the functions repeatedly for many sets of replicate weights provided by the data distributor. The methods in this package are described in the accompanying paper: <doi:10.1177/00491241211055769>.
Author: Ian Lundberg [aut, cre]
Maintainer: Ian Lundberg <ianlundberg@ucla.edu>

This is a re-admission after prior archival of version 1.0.2 dated 2021-10-11

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

Title: Fuzzy C-Means for Fuzzy Data
Description: Implements a fuzzy clustering approach for ordinal Likert-type data using triangular fuzzy numbers (TFNs). The package extends the classical fuzzy C-means algorithm to better handle uncertainty in ordinal scales and includes automatic selection of the number of clusters using the Xie-Beni validity index. References: Coppi, R., D'Urso, P., and Giordani, P. (2012), "Fuzzy and possibilistic clustering for fuzzy data", <doi:10.1016/j.csda.2010.09.013>. Xie, X. L. and Beni, G. (1991), "A validity measure for fuzzy clustering", <doi:10.1109/34.85677>.
Author: Jose Ortigas [aut, cre]
Maintainer: Jose Ortigas <jose.ortigas@unmsm.edu.pe>

Diff between fcmfd versions 0.1.0 dated 2026-05-05 and 0.1.1 dated 2026-05-23

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Package DSIR updated to version 0.7.1 with previous version 0.7.0 dated 2026-05-21

Title: Data Science Infrastructure for Global Health
Description: Supports global health data analysis, including a publication-ready 'ggplot2' theme, a 'flextable' defaults helper, a thin pie chart wrapper, built-in regional country-code datasets with a WHO region lookup helper, a geometric mean function for indicator aggregation, and convenience clients for the World Health Organization Global Health Observatory (GHO) OData API <https://ghoapi.azureedge.net/api/> and the United Nations Sustainable Development Goals (SDG) API <https://unstats.un.org/SDGAPI/swagger/>.
Author: Shanlong Ding [aut, cre]
Maintainer: Shanlong Ding <dings@who.int>

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Package couplr updated to version 1.4.1 with previous version 1.4.0 dated 2026-05-18

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

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Package BlockMissingData readmission to version 0.1.1 with previous version 0.1.0 dated 2023-09-12

Title: Integrating Multi-Source Block-Wise Missing Data in Model Selection
Description: Model selection method with multiple block-wise imputation for block-wise missing data; see Xue, F., and Qu, A. (2021) <doi:10.1080/01621459.2020.1751176>.
Author: Fei Xue [aut, cre], Annie Qu [aut]
Maintainer: Fei Xue <feixue@purdue.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2023-09-12

Diff between BlockMissingData versions 0.1.0 dated 2023-09-12 and 0.1.1 dated 2026-05-23

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Package biomod2 updated to version 4.3-4-6 with previous version 4.3-4-5 dated 2026-01-30

Title: Ensemble Platform for Species Distribution Modeling
Description: Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualisation tools are also available within the package.
Author: Maya Gueguen [aut, cre], Helene Blancheteau [aut], Remi Lemaire-Patin [aut], Wilfried Thuiller [aut]
Maintainer: Maya Gueguen <maya.gueguen@univ-grenoble-alpes.fr>

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Package mets updated to version 1.3.10 with previous version 1.3.9 dated 2026-01-11

Title: Analysis of Multivariate Event Times
Description: Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.
Author: Klaus K. Holst [aut, cre], Thomas Scheike [aut]
Maintainer: Klaus K. Holst <klaus@holst.it>

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More information about mets at CRAN
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Package shinyOAuth updated to version 0.5.0 with previous version 0.4.0 dated 2026-02-14

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

Diff between shinyOAuth versions 0.4.0 dated 2026-02-14 and 0.5.0 dated 2026-05-23

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Package tsgarch updated to version 1.0.4 with previous version 1.0.3 dated 2024-10-11

Title: Univariate GARCH Models
Description: Multiple flavors of the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model with a large choice of conditional distributions. Methods for specification, estimation, prediction, filtering, simulation, statistical testing and more. Represents a partial re-write and re-think of 'rugarch', making use of automatic differentiation for estimation.
Author: Alexios Galanos [aut, cre, cph]
Maintainer: Alexios Galanos <alexios@4dscape.com>

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Package RSQLite updated to version 3.53.1 with previous version 3.52.0 dated 2026-05-10

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
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Package rpymat updated to version 0.1.9 with previous version 0.1.8 dated 2025-07-22

Title: Easy to Configure an Isolated 'Python' Environment
Description: Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scripts. The package provides utilities to run system command within the 'conda' environment, making it easy to install, launch, manage, and stop 'Jupyter-lab'.
Author: Zhengjia Wang [cph, aut, cre]
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Package readNSx updated to version 0.0.7 with previous version 0.0.6 dated 2025-10-24

Title: Read 'Blackrock-Microsystems' Files ('NEV', 'NSx')
Description: Loads 'Blackrock' <https://blackrockneurotech.com> neural signal data files into the memory, provides utility tools to extract the data into common formats such as plain-text 'tsv' and 'HDF5'.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package rd2d updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-14

Title: Estimation and Inference for Boundary Discontinuity Designs
Description: Provides pointwise and uniform estimation and inference methods for boundary discontinuity (BD) designs, a causal inference design that generalizes univariate regression discontinuity (RD) designs to settings with bivariate scores. Implements local polynomial methods for location-based and distance-based analyses, including sharp and fuzzy designs, data-driven bandwidth selection, pointwise confidence intervals, and uniform confidence bands. Methodology is developed in Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2505.05670> for location-based methods and Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2510.26051> for distance-based methods. For an overview and empirical guidance, see Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2511.06474>. The companion software article is Cattaneo, Titiunik, and Yu (2025) <doi:10.48550/arXiv.2505.07989>.
Author: Matias D. Cattaneo [aut, cre], Rocio Titiunik [aut], Ruiqi Rae Yu [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package ravetools updated to version 0.2.5 with previous version 0.2.4 dated 2025-09-10

Title: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data
Description: Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://rave.wiki>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Author: Zhengjia Wang [aut, cre], John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph] , Karim Rahim [cph, ctb] , Thomas Possidente [cph, ctb] , Michael Prerau [cph, ctb] , Marcus Geelnard [ctb, cph] , Stefan Schlage [...truncated...]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package maskedcauses updated to version 0.10.0 with previous version 0.9.3 dated 2026-03-17

Title: Likelihood Models for Systems with Masked Component Cause of Failure
Description: Maximum likelihood estimation for series systems where the component cause of failure is masked. Implements analytical log-likelihood, score, and Hessian functions for exponential, homogeneous Weibull, and heterogeneous Weibull component lifetimes under masked cause conditions (C1, C2, C3). Supports exact, right-censored, left-censored, and interval-censored observations via composable observation functors. Provides random data generation, model fitting, and Fisher information for asymptotic inference. See Lin, Loh, and Bai (1993) <doi:10.1109/24.257799> and Craiu and Reiser (2006) <doi:10.1111/j.1541-0420.2005.00498.x>.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

Diff between maskedcauses versions 0.9.3 dated 2026-03-17 and 0.10.0 dated 2026-05-23

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Package flexhaz updated to version 0.5.2 with previous version 0.5.1 dated 2026-03-19

Title: Dynamic Failure Rate Distributions for Survival Analysis
Description: Flexible framework for specifying survival distributions through their hazard (failure rate) functions. Define arbitrary time-varying hazard functions to model complex failure patterns including bathtub curves, proportional hazards with covariates, and other non-standard hazard behaviors. Provides automatic computation of survival, CDF, PDF, quantiles, and sampling. Implements the likelihood model interface for maximum likelihood estimation with right-censored and left-censored survival data.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <queelius@gmail.com>

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Package filearray updated to version 0.2.2 with previous version 0.2.1 dated 2026-03-23

Title: File-Backed Array for Out-of-Memory Computation
Description: Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via 'OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between filearray versions 0.2.1 dated 2026-03-23 and 0.2.2 dated 2026-05-23

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Package elfgen updated to version 2.3.5 with previous version 2.3.4 dated 2025-11-28

Title: Ecological Limit Function Model Generation and Analysis Toolkit
Description: A toolset for generating Ecological Limit Function (ELF) models and evaluating potential species loss resulting from flow change, based on the 'elfgen' framework. ELFs describe the relation between aquatic species richness (fish or benthic macroinvertebrates) and stream size characteristics (streamflow or drainage area). Journal publications are available outlining framework methodology (Kleiner et al. (2020) <doi:10.1111/1752-1688.12876>) and application (Rapp et al. (2020) <doi:10.1111/1752-1688.12877>).
Author: Joseph Kleiner [aut] , Robert Burgholzer [ctb] , Connor Brogan [cre]
Maintainer: Connor Brogan <connor.brogan@deq.virginia.gov>

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Package dipsaus updated to version 0.3.5 with previous version 0.3.4 dated 2026-03-20

Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Author: Zhengjia Wang [aut, cre], John Magnotti [ctb] , Xiang Zhang [ctb]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package Compositional updated to version 8.2 with previous version 8.1 dated 2026-02-17

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. We further include functions for percentages (or proportions). The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include: a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data--based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. <doi:10.48550/arXiv.1106.1451>. b) Tsagris M. (2014). "The k--NN algorithm for compositional data: a revised approach with and without zero values present". Journal of Data Science, 12(3): 519--534. <doi:10.6339/JDS.201407_12(3).0008>. c) Tsagris M. (2015). "A novel, divergence based, regression for compositional data". Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. <doi:10.48550/arXiv. [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb], Christos Adam [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Fri, 22 May 2026

Package LBI updated to version 0.2.4 with previous version 0.2.3 dated 2025-08-21

Title: Likelihood Based Inference
Description: Maximum likelihood estimation and likelihood ratio test are essential for modern statistics. This package supports in calculating likelihood based inference. Reference: Pawitan Y. (2001, ISBN:0-19-850765-8).
Author: Kyun-Seop Bae [aut, cre, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package multiSA updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-20

Title: Multi-Stock Assessment
Description: Implementation of a next-generation, multi-stock age-structured fisheries assessment model. 'multiSA' is intended for use in mixed fisheries where stock composition can not be readily identified in fishery data alone, e.g., from catch and age/length composition. Models can be fitted to genetic data, e.g., stock composition of catches and close-kin pairs, with seasonal stock availability and movement.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package h3sdm updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-13

Title: Species Distribution Modeling with H3 Grids
Description: Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

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Package cdcanthro updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-17

Title: Sex- and Age-Standardized Metrics from the Centers for Disease Control and Prevention (CDC) Growth Charts
Description: Calculation of sex- and age-standardized growth metrics based on the 2000 CDC growth charts. Provides functions to generate z-scores and percentiles for weight, height, and body mass index (BMI) using the LMS method (lambda-mu-sigma). Includes extended BMI z-scores for values above the 95th percentile to more accurately characterize the sex- and age-standardized BMI of children with very high BMIs.
Author: David Freedman [aut, cre]
Maintainer: David Freedman <DavidSFreedman@gmail.com>

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Package familiar updated to version 2.0.1 with previous version 2.0.0 dated 2026-04-23

Title: End-to-End Automated Machine Learning and Model Evaluation
Description: Single unified interface for end-to-end modelling of regression, categorical and time-to-event (survival) outcomes. Models created using familiar are self-containing, and their use does not require additional information such as baseline survival, feature clustering, or feature transformation and normalisation parameters. Model performance, calibration, risk group stratification, (permutation) variable importance, individual conditional expectation, partial dependence, and more, are assessed automatically as part of the evaluation process and exported in tabular format and plotted, and may also be computed manually using export and plot functions. Where possible, metrics and values obtained during the evaluation process come with confidence intervals.
Author: Alex Zwanenburg [aut, cre] , Steffen Loeck [aut], German Cancer Research Center [cph], Technische Universitaet Dresden [cph]
Maintainer: Alex Zwanenburg <alexander.zwanenburg@nct-dresden.de>

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Package CDCPLACES updated to version 1.2.1 with previous version 1.2.0 dated 2026-02-12

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

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Package ReliaGrowR updated to version 0.7 with previous version 0.6 dated 2026-04-16

Title: Reliability Growth Analysis and Repairable Systems Modeling
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA) and Non-Homogeneous Poisson Process (NHPP) models for repairable systems. RGA models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, NHPP by Crow (1975) (No. AMSAATR138), Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>. Repairable systems functions include the Mean Cumulative Function (MCF) using the Nelson-Aalen estimator, parametric Power Law and Log-Linear NHPP models, and forecasting.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package msPCA updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-15

Title: Sparse Principal Component Analysis with Multiple Principal Components
Description: Implements an algorithm for computing multiple sparse principal components of a dataset. The method is based on Cory-Wright and Pauphilet "Sparse PCA with Multiple Principal Components" (2026) <doi:10.48550/arXiv.2209.14790>. The algorithm uses an iterative deflation heuristic with a truncated power method applied at each iteration to compute sparse principal components with controlled sparsity.
Author: Ryan Cory-Wright [aut, cph] , Jean Pauphilet [aut, cre, cph]
Maintainer: Jean Pauphilet <jpauphilet@london.edu>

Diff between msPCA versions 0.3.0 dated 2026-05-15 and 0.4.0 dated 2026-05-22

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Package meteo updated to version 2.0-5 with previous version 2.0-4 dated 2026-03-24

Title: RFSI & STRK Interpolation for Meteo and Environmental Variables
Description: Random Forest Spatial Interpolation (RFSI, Sekulić et al. (2020) <doi:10.3390/rs12101687>) and spatio-temporal geostatistical (spatio-temporal regression Kriging (STRK)) interpolation for meteorological (Kilibarda et al. (2014) <doi:10.1002/2013JD020803>, Sekulić et al. (2020) <doi:10.1007/s00704-019-03077-3>) and other environmental variables. Contains global spatio-temporal models calculated using publicly available data.
Author: Milan Kilibarda [aut] , Aleksandar Sekulic [aut, cre] , Tomislav Hengl [ctb], Edzer Pebesma [ctb], Benedikt Graeler [ctb]
Maintainer: Aleksandar Sekulic <asekulic@grf.bg.ac.rs>

Diff between meteo versions 2.0-4 dated 2026-03-24 and 2.0-5 dated 2026-05-22

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Package bigassertr updated to version 0.2.0 with previous version 0.1.7 dated 2025-06-27

Title: Assertion and Message Functions
Description: Enhanced message functions (cat() / message() / warning() / error()) using wrappers around sprintf(). Also, multiple assertion functions (e.g. to check class, length, values, files, arguments, etc.).
Author: Florian Prive [aut, cre]
Maintainer: Florian Prive <florian.prive.21@gmail.com>

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Package harbinger updated to version 2.0.757 with previous version 2.0.747 dated 2026-05-14

Title: A Unified Time Series Event Detection Framework
Description: By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In the literature, there are several methods for detecting events. However, searching for a suitable time series method is a complex task, especially considering that the nature of events is often unknown. This work presents Harbinger, a framework for integrating and analyzing event detection methods. Harbinger contains several state-of-the-art methods described in Salles et al. (2020) <doi:10.5753/sbbd.2020.13626>.
Author: Eduardo Ogasawara [aut, ths, cre] , Anthony Heimlich [aut], Antonio Castro [aut], Antonio Mello [aut], Diego Carvalho [ctb], Eduardo Bezerra [ctb], Ellen Paixao [aut], Fernando Fraga [aut], Gabriel Giuliano [aut], Heraldo Borges [aut], Igor Andrade [ [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package daltoolboxdp updated to version 1.3.747 with previous version 1.3.737 dated 2026-05-14

Title: Deep Python Extensions for 'daltoolbox'
Description: Extends 'daltoolbox' with Python-backed components for deep learning, scikit-learn classification, and time-series forecasting through 'reticulate'. The package provides objects that follow the 'daltoolbox' architecture while delegating model creation, fitting, encoding, and prediction to Python libraries such as 'torch' and 'scikit-learn'. In the package name, 'dp' stands for 'Deep Python'. The overall workflow is inspired by the Experiment Lines approach described in Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.
Author: Eduardo Ogasawara [aut, ths, cre] , Diego Salles [aut], Erich Carvalho [aut], Janio Lima [aut], Joao Kongevold [aut], Lucas Tavares [aut], Eduardo Bezerra [ctb], CEFET/RJ [cph]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between daltoolboxdp versions 1.3.737 dated 2026-05-14 and 1.3.747 dated 2026-05-22

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Package tspredit updated to version 2.0.707 with previous version 1.3.707 dated 2026-05-14

Title: Time Series Prediction with Integrated Tuning
Description: Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies. TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation. Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance. It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies. More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.
Author: Eduardo Ogasawara [aut, ths, cre] , Cristiane Gea [aut], Diego Carvalho [ctb], Diogo Santos [aut], Arthur Garcia [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Fernando Alexandrino [aut], Rebecca Salles [aut], Vitoria Birindib [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package SeroTrackR updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-26

Title: Serology-Based Data Analysis and Visualization
Description: Data wrangling and cleaning, quality control checks and implementation of machine learning classification algorithm.
Author: Dionne Argyropoulos [aut, cre]
Maintainer: Dionne Argyropoulos <argyropoulos.d@wehi.edu.au>

Diff between SeroTrackR versions 1.0.0 dated 2026-03-26 and 1.1.0 dated 2026-05-22

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Package fmpcloudr updated to version 0.1.7 with previous version 0.1.5 dated 2021-03-01

Title: R Access to the 'FMP Cloud' and 'Financial Modeling Prep' API
Description: Use R to access to the 'Financial Modeling Prep' API <https://site.financialmodelingprep.com>. Data available includes stock prices, market indexes, company fundamentals, 13F holdings data, and much more. A valid API token must be set to enable functions.
Author: Anthony Trevisan [aut, cre]
Maintainer: Anthony Trevisan <tony@altanalyticsllc.com>

Diff between fmpcloudr versions 0.1.5 dated 2021-03-01 and 0.1.7 dated 2026-05-22

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Package parglm updated to version 0.1.10 with previous version 0.1.9-1 dated 2026-05-14

Title: Parallel GLM
Description: Provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.
Author: Benjamin Christoffersen [aut] , Anthony Williams [cph], Boost developers [cph], Tom Palmer [aut, cre]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package mathml updated to version 1.8 with previous version 1.7 dated 2026-01-17

Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Description: Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that they can be rendered in R markdown documents and shiny apps. This package depends on R package 'rolog', which requires an installation of the 'SWI'-'Prolog' runtime either from 'swi-prolog.org' or from R package 'rswipl'.
Author: Matthias Gondan [aut, cre, cph] , Irene Alfarone [aut] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

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Package mlr3db updated to version 0.7.2 with previous version 0.7.1 dated 2026-02-28

Title: Data Base Backend for 'mlr3'
Description: Extends the 'mlr3' package with a backend to transparently work with databases such as 'SQLite', 'DuckDB', 'MySQL', 'MariaDB', or 'PostgreSQL'. The package provides three additional backends: 'DataBackendDplyr' relies on the abstraction of package 'dbplyr' to interact with most DBMS. 'DataBackendDuckDB' operates on 'DuckDB' data bases and also on Apache Parquet files. 'DataBackendPolars' operates on 'Polars' data frames.
Author: Michel Lang [aut] , Lona Koers [aut], Marc Becker [cre, aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package JMbdirect updated to version 0.1.1 with previous version 0.1.0 dated 2025-03-11

Title: Joint Model for Longitudinal and Multiple Time to Events Data
Description: Provides model fitting, prediction, and plotting for joint models of longitudinal and multiple time-to-event data, including methods from Rizopoulos (2012) <doi:10.1201/b12208>. Useful for handling complex survival and longitudinal data in clinical research.
Author: Atanu Bhattacharjee [aut, cre]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>

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Package isoWater updated to version 1.2.2 with previous version 1.2.1 dated 2025-07-01

Title: Discovery, Retrieval, and Analysis of Water Isotope Data
Description: The wiDB...() functions provide an interface to the public API of the wiDB <https://github.com/SPATIAL-Lab/isoWater/blob/master/Protocol.md>: build, check and submit queries, and receive and unpack responses. Data analysis functions support Bayesian inference of the source and source isotope composition of water samples that may have experienced evaporation. Algorithms adapted from Bowen et al. (2018, <doi:10.1007/s00442-018-4192-5>).
Author: Gabe Bowen [aut, cre]
Maintainer: Gabe Bowen <gabe.bowen@utah.edu>

Diff between isoWater versions 1.2.1 dated 2025-07-01 and 1.2.2 dated 2026-05-22

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Package doFuture updated to version 1.2.2 with previous version 1.2.1 dated 2026-02-20

Title: Use Foreach to Parallelize via the Future Framework
Description: The 'future' package provides a unifying parallelization framework for R that supports many parallel and distributed backends <doi:10.32614/RJ-2021-048>. The 'foreach' package provides a powerful API for iterating over an R expression in parallel. The 'doFuture' package brings the best of the two together. There are two alternative ways to use this package. The recommended approach is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between doFuture versions 1.2.1 dated 2026-02-20 and 1.2.2 dated 2026-05-22

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Package binsreg updated to version 2.1 with previous version 2.0 dated 2026-05-15

Title: Binscatter Estimation and Inference
Description: Provides tools for statistical analysis using the binscatter methods developed by Cattaneo, Crump, Farrell and Feng (2024) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2024_AER.pdf>, Cattaneo, Crump, Farrell and Feng (2025) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2025_Stata.pdf> and Cattaneo, Crump, Farrell and Feng (2026) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2026_RESTAT.pdf>. Binscatter provides a flexible way of describing the relationship between two variables based on partitioning/binning of the independent variable of interest. binsreg(), binsqreg() and binsglm() implement binscatter least squares regression, quantile regression and generalized linear regression respectively, with particular focus on constructing binned scatter plots. They also implement robust (pointwise and uniform) inference of regression functions and derivatives thereof. binstest() implements hypothesis test [...truncated...]
Author: Matias D. Cattaneo [aut, cre], Richard K. Crump [aut], Max H. Farrell [aut], Yingjie Feng [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

Diff between binsreg versions 2.0 dated 2026-05-15 and 2.1 dated 2026-05-22

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Package spatstat.Knet updated to version 3.1-3 with previous version 3.1-2 dated 2024-09-05

Title: Extension to 'spatstat' for Large Datasets on a Linear Network
Description: Extension to the 'spatstat' family of packages, for analysing large datasets of spatial points on a network. The geometrically- corrected K function is computed using a memory-efficient tree-based algorithm described by Rakshit, Baddeley and Nair (2019).
Author: Suman Rakshit [aut, cph] , Adrian Baddeley [cre, cph]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.Knet versions 3.1-2 dated 2024-09-05 and 3.1-3 dated 2026-05-22

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Package RGraphSpace updated to version 1.3.0 with previous version 1.2.0 dated 2026-04-25

Title: A Lightweight Interface Between 'igraph' and 'ggplot2' Graphics
Description: An interface to integrate 'igraph' and 'ggplot2' graphics within a normalized coordinate system. 'RGraphSpace' implements geometric objects based on 'ggplot2' prototypes, optimized for the representation of large networks. The package provides three specialized 'geoms' to translate graph data into geometric layers, supporting customization of aesthetics and visual styles. These 'geoms' use a dual-anchor normalization approach to align layers, required for analyses where network elements must be referenced to a spatial map. 'RGraphSpace' aims to facilitate side-by-side visualization of multiple graphs spatially aligned with reference maps and images.
Author: Sysbiolab Team [aut], Flavio Kessler [ctb], Jonathan Back [ctb], Lana Querne [ctb], Victor Apolonio [ctb], Vinicius Chagas [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package copBasic updated to version 2.2.14 with previous version 2.2.11 dated 2025-11-03

Title: General Bivariate Copula Theory and Many Utility Functions
Description: Extensive functions for bivariate copula (bicopula) computations and related operations for bicopula theory. The lower, upper, product, and select other bicopula are implemented along with operations including the diagonal, survival copula, dual of a copula, co-copula, and numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical derivatives and inverses of a bicopula are provided through which simulation is implemented. Bicopula composition, convex combination, asymmetry extension, and products also are provided. Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau, Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer- Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and positive/negative quadrant dependency, left (right) increasing (decreasing) are available. Other features include Kullback-Leibler Divergence, Vuong Procedure, spectral measure, [...truncated...]
Author: William Asquith [aut, cre]
Maintainer: William Asquith <william.asquith@ttu.edu>

Diff between copBasic versions 2.2.11 dated 2025-11-03 and 2.2.14 dated 2026-05-22

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Package BeeBDC updated to version 1.3.4 with previous version 1.3.3 dated 2026-02-06

Title: Occurrence Data Cleaning
Description: Flags and checks occurrence data that are in Darwin Core format. The package includes generic functions and data as well as some that are specific to bees. This package is meant to build upon and be complimentary to other excellent occurrence cleaning packages, including 'bdc' and 'CoordinateCleaner'. This package uses datasets from several sources and particularly from the Discover Life Website, created by Ascher and Pickering (2020). For further information, please see the original publication and package website. Publication - Dorey et al. (2023) <doi:10.1101/2023.06.30.547152> and package website - Dorey et al. (2023) <https://github.com/jbdorey/BeeBDC>.
Author: James B. Dorey [aut, cre, cph] , Robert L. O'Reilly [aut] , Silas Bossert [aut] , Erica E. Fischer [aut]
Maintainer: James B. Dorey <jbdorey@me.com>

Diff between BeeBDC versions 1.3.3 dated 2026-02-06 and 1.3.4 dated 2026-05-22

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Package Bayesiangammareg updated to version 0.1.1 with previous version 0.1.0 dated 2020-02-06

Title: Double Generalized Gamma Regression Models
Description: Fits double generalized Gamma regression models from a Bayesian perspective, where both the mean and shape parameters are modeled simultaneously using flexible link functions. The methodology is based on Cepeda-Cuervo and Urdinola (2012) <doi:10.1080/03610918.2011.600500> and extended in Cepeda-Cuervo (2026), 'Double Generalized Linear Models: Likelihood and Bayesian Methods' (ISBN: 9781041169970). The package provides parameter estimation, model fitting, and model comparison tools, including Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC).
Author: Arturo Camargo-Lozano [aut, cre], Edilberto Cepeda-Cuervo [aut]
Maintainer: Arturo Camargo-Lozano <bacamargol@unal.edu.co>

Diff between Bayesiangammareg versions 0.1.0 dated 2020-02-06 and 0.1.1 dated 2026-05-22

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Thu, 21 May 2026

Package bonsai updated to version 0.4.1 with previous version 0.4.0 dated 2025-06-25

Title: Model Wrappers for Tree-Based Models
Description: Bindings for additional tree-based model engines for use with the 'parsnip' package. Models include gradient boosted decision trees with 'LightGBM' (Ke et al, 2017.), conditional inference trees and conditional random forests with 'partykit' (Hothorn and Zeileis, 2015. and Hothorn et al, 2006. <doi:10.1198/106186006X133933>), and accelerated oblique random forests with 'aorsf' (Jaeger et al, 2022 <doi:10.5281/zenodo.7116854>).
Author: Daniel Falbel [aut], Athos Damiani [aut], Roel M. Hogervorst [aut] , Max Kuhn [aut] , Simon Couch [aut] , Emil Hvitfeldt [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package tidyclust updated to version 0.3.0 with previous version 0.2.4 dated 2025-01-27

Title: A Common API to Clustering
Description: A common interface to specifying clustering models, in the same style as 'parsnip'. Creates unified interface across different functions and computational engines.
Author: Emil Hvitfeldt [aut, cre] , Kelly Bodwin [aut], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package rlas updated to version 1.9.2 with previous version 1.9.1 dated 2026-05-14

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [aut, ctb] , Martin Isenburg [cph] , David Auty [ctb] , Pierrick Marie [ctb] , Tiago de Conto [ctb]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

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Package autotab updated to version 1.0.1 with previous version 1.0 dated 2026-03-25

Title: Variational Autoencoders for Heterogeneous Tabular Data
Description: Build and train a variational autoencoder (VAE) for mixed-type tabular data (continuous, binary, categorical). Models are implemented using 'TensorFlow' and 'Keras' via the 'reticulate' interface, enabling reproducible VAE training for heterogeneous tabular datasets.
Author: Sarah Milligan [aut, cre]
Maintainer: Sarah Milligan <slm1999@bu.edu>

Diff between autotab versions 1.0 dated 2026-03-25 and 1.0.1 dated 2026-05-21

 DESCRIPTION          |    7 ++++---
 MD5                  |   17 ++++++++++-------
 R/data.R             |only
 R/decoder.R          |   19 ++++++++++++++++---
 R/latent_sampling.R  |   10 ++++------
 R/loss.R             |    3 +--
 README.md            |   14 ++++++--------
 data                 |only
 man/Latent_sample.Rd |   10 ++++------
 man/data_example.Rd  |only
 man/decoder_model.Rd |    4 ++--
 11 files changed, 47 insertions(+), 37 deletions(-)

More information about autotab at CRAN
Permanent link

Package StepReg updated to version 1.6.5 with previous version 1.6.4 dated 2026-05-14

Title: 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.
Author: Junhui Li [cre] , Junhui Li [aut], Kai Hu [aut], Xiaohuan Lu [aut], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>

Diff between StepReg versions 1.6.4 dated 2026-05-14 and 1.6.5 dated 2026-05-21

 DESCRIPTION           |    8 ++--
 MD5                   |   12 +++---
 R/performance.R       |    3 +
 R/stepwise.R          |    2 -
 R/stepwiseUtils.R     |   90 +++++++++++++++++++++++++++++---------------------
 inst/doc/StepReg.html |   60 ++++++++++++++++-----------------
 man/performance.Rd    |    3 +
 7 files changed, 98 insertions(+), 80 deletions(-)

More information about StepReg at CRAN
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Package rddensity updated to version 3.0 with previous version 2.6 dated 2024-10-06

Title: Manipulation Testing Based on Density Discontinuity
Description: Density discontinuity testing (a.k.a. manipulation testing) is commonly employed in regression discontinuity designs and other program evaluation settings to detect perfect self-selection (manipulation) around a cutoff where treatment/policy assignment changes. This package implements manipulation testing procedures using local polynomial density estimators: rddensity() constructs test statistics and p-values given a prespecified cutoff, rdbwdensity() performs data-driven bandwidth selection, and rdplotdensity() constructs density plots.
Author: Matias D. Cattaneo [aut, cre], Michael Jansson [aut], Xinwei Ma [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

Diff between rddensity versions 2.6 dated 2024-10-06 and 3.0 dated 2026-05-21

 DESCRIPTION              |   40 ++++++++++++++++++++--------------------
 MD5                      |   25 ++++++++++++++-----------
 R/rdbwdensity.R          |   44 +++++++++++++++++++++++---------------------
 R/rddensity-package.R    |    6 +++---
 R/rddensity.R            |   38 +++++++++++++++++++++-----------------
 R/rddensity_fun.R        |   34 +++++++++++++++++++++++++++++++---
 R/rdplotdensity.R        |    6 +++---
 build/partial.rdb        |binary
 man/rdbwdensity.Rd       |    6 +++---
 man/rddensity-package.Rd |    6 +++---
 man/rddensity.Rd         |    6 +++---
 man/rdplotdensity.Rd     |    6 +++---
 tests                    |only
 13 files changed, 127 insertions(+), 90 deletions(-)

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Package performance updated to version 0.17.0 with previous version 0.16.0 dated 2026-02-04

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between performance versions 0.16.0 dated 2026-02-04 and 0.17.0 dated 2026-05-21

 DESCRIPTION                                        |   12 
 MD5                                                |  103 +++----
 NAMESPACE                                          |    1 
 NEWS.md                                            |   28 ++
 R/check_collinearity.R                             |   53 +++
 R/check_homogeneity.R                              |    2 
 R/check_model.R                                    |   28 ++
 R/check_outliers.R                                 |    6 
 R/check_predictions.R                              |   80 ++---
 R/performance_cv.R                                 |  282 +++++++++++----------
 R/test_likelihoodratio.R                           |   15 -
 R/test_performance.R                               |   15 -
 build/partial.rdb                                  |binary
 man/check_autocorrelation.Rd                       |   22 -
 man/check_collinearity.Rd                          |   22 -
 man/check_convergence.Rd                           |   22 -
 man/check_heteroscedasticity.Rd                    |   22 -
 man/check_homogeneity.Rd                           |   22 -
 man/check_model.Rd                                 |   51 ++-
 man/check_outliers.Rd                              |   32 +-
 man/check_overdispersion.Rd                        |   22 -
 man/check_predictions.Rd                           |   29 +-
 man/check_singularity.Rd                           |   22 -
 man/check_zeroinflation.Rd                         |   22 -
 man/compare_performance.Rd                         |    2 
 man/figures/card.png                               |binary
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 man/performance-package.Rd                         |    1 
 man/performance_accuracy.Rd                        |    2 
 man/performance_cv.Rd                              |    6 
 man/r2_mlm.Rd                                      |    2 
 man/reexports.Rd                                   |    2 
 man/test_performance.Rd                            |   15 -
 tests/testthat/test-check_autocorrelation_simres.R |    4 
 tests/testthat/test-check_collinearity.R           |  110 ++++++++
 tests/testthat/test-check_homogeneity.R            |   12 
 tests/testthat/test-check_normality.R              |    2 
 tests/testthat/test-check_outliers.R               |    2 
 tests/testthat/test-check_overdispersion.R         |   18 -
 tests/testthat/test-check_predictions.R            |   52 +++
 tests/testthat/test-check_residuals.R              |    2 
 tests/testthat/test-check_zeroinflation.R          |   25 -
 tests/testthat/test-discovr_book.R                 |only
 tests/testthat/test-glmmPQL.R                      |    2 
 tests/testthat/test-performance_cv.R               |   27 +-
 tests/testthat/test-r2_mcfadden.R                  |    4 
 tests/testthat/test-test_likelihoodratio.R         |   71 +++++
 53 files changed, 827 insertions(+), 447 deletions(-)

More information about performance at CRAN
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Package modEvA updated to version 3.45 with previous version 3.41 dated 2026-01-09

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) <doi:10.1111/ddi.12100>.
Author: A. Marcia Barbosa [aut, cre], Jennifer A. Brown [aut], Alberto Jimenez-Valverde [aut], Raimundo Real [aut], Oswald van Ginkel [ctb], Jurica Levatic [ctb], Victoria Formoso-Freire [ctb], Andres Baselga [ctb], Carola Gomez-Rodriguez [ctb], Carlos C. Ra [...truncated...]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between modEvA versions 3.41 dated 2026-01-09 and 3.45 dated 2026-05-21

 DESCRIPTION            |   16 +--
 MD5                    |   98 ++++++++++---------
 NAMESPACE              |   10 +
 NEWS.md                |  113 +++++++++++++++++++++-
 R/AUC.R                |   33 +++++-
 R/Boyce.R              |   67 +++++++------
 R/HLfit.R              |  203 ++++++++++++++++++++++------------------
 R/Miller.R             |only
 R/MillerCalib.R        |   48 ---------
 R/evaluate.R           |    8 -
 R/getBins.R            |  246 ++++++++++++++++++++++++++++++-------------------
 R/lollipop.R           |    2 
 R/modEvAmethods.R      |   17 +--
 R/multModEv.R          |    2 
 R/optiPair.R           |    2 
 R/optiThresh.R         |    2 
 R/plotGLM.R            |  162 ++++++++++++++++----------------
 R/poMeasures.R         |only
 R/predDensity.R        |  236 ++++++++++++++++++++++++-----------------------
 R/predPlot.R           |   80 +++++++--------
 R/threshMeasures.R     |   33 ++++--
 data/rotif.mods.rda    |binary
 inst/CITATION          |   67 ++++++++++---
 man/AUC.Rd             |   31 ++++--
 man/Boyce.Rd           |   37 ++++---
 man/Dsquared.Rd        |    4 
 man/HLfit.Rd           |   40 +++----
 man/Miller.Rd          |only
 man/MillerCalib.Rd     |  102 ++++----------------
 man/RMSE.Rd            |    4 
 man/RsqGLM.Rd          |    4 
 man/applyThreshold.Rd  |    2 
 man/confusionLabel.Rd  |    2 
 man/confusionMatrix.Rd |    2 
 man/errorMeasures.Rd   |  118 +++++++++++------------
 man/getBins.Rd         |   49 ++++-----
 man/getModEqn.Rd       |    4 
 man/getThreshold.Rd    |    2 
 man/inputMunch.Rd      |    4 
 man/logLike.Rd         |  132 +++++++++++++-------------
 man/lollipop.Rd        |    6 -
 man/modEvA-package.Rd  |   33 +++---
 man/multModEv.Rd       |    6 -
 man/optiPair.Rd        |    4 
 man/optiThresh.Rd      |    4 
 man/plotGLM.Rd         |    4 
 man/poMeasures.Rd      |only
 man/predDensity.Rd     |   16 +--
 man/predPlot.Rd        |  162 ++++++++++++++++----------------
 man/pseudoRsq.Rd       |   14 +-
 man/similarity.Rd      |    2 
 man/threshMeasures.Rd  |   55 ++++++++--
 52 files changed, 1272 insertions(+), 1016 deletions(-)

More information about modEvA at CRAN
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Package mlr3fselect updated to version 1.6.0 with previous version 1.5.1 dated 2026-03-18

Title: Feature Selection for 'mlr3'
Description: Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.
Author: Marc Becker [aut, cre] , Patrick Schratz [aut] , Michel Lang [aut] , Bernd Bischl [aut] , John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3fselect versions 1.5.1 dated 2026-03-18 and 1.6.0 dated 2026-05-21

 mlr3fselect-1.5.1/mlr3fselect/tests/testthat/helper_rush.R                         |only
 mlr3fselect-1.6.0/mlr3fselect/DESCRIPTION                                          |   13 
 mlr3fselect-1.6.0/mlr3fselect/MD5                                                  |  233 +++----
 mlr3fselect-1.6.0/mlr3fselect/NEWS.md                                              |    7 
 mlr3fselect-1.6.0/mlr3fselect/R/ArchiveAsyncFSelect.R                              |   44 -
 mlr3fselect-1.6.0/mlr3fselect/R/ArchiveAsyncFSelectFrozen.R                        |   34 -
 mlr3fselect-1.6.0/mlr3fselect/R/ArchiveBatchFSelect.R                              |   39 -
 mlr3fselect-1.6.0/mlr3fselect/R/AutoFSelector.R                                    |   83 +-
 mlr3fselect-1.6.0/mlr3fselect/R/CallbackAsyncFSelect.R                             |   95 +-
 mlr3fselect-1.6.0/mlr3fselect/R/CallbackBatchFSelect.R                             |   68 +-
 mlr3fselect-1.6.0/mlr3fselect/R/ContextAsyncFSelect.R                              |    9 
 mlr3fselect-1.6.0/mlr3fselect/R/ContextBatchFSelect.R                              |   11 
 mlr3fselect-1.6.0/mlr3fselect/R/EnsembleFSResult.R                                 |  229 ++++---
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectInstanceAsyncMultiCrit.R                    |   22 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectInstanceAsyncSingleCrit.R                   |   19 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectInstanceBatchMultiCrit.R                    |   16 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectInstanceBatchSingleCrit.R                   |   28 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelector.R                                        |   20 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorAsync.R                                   |   13 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorAsyncDesignPoints.R                       |    4 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorAsyncExhaustiveSearch.R                   |   19 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorAsyncFromOptimizerAsync.R                 |   14 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorAsyncRandomSearch.R                       |    4 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorBatch.R                                   |   37 -
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorBatchDesignPoints.R                       |    4 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorBatchExhaustiveSearch.R                   |   19 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorBatchFromOptimizerBatch.R                 |    9 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorBatchGeneticSearch.R                      |   20 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorBatchRFE.R                                |   68 +-
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorBatchRFECV.R                              |   46 -
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorBatchRandomSearch.R                       |    7 
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorBatchSequential.R                         |   53 -
 mlr3fselect-1.6.0/mlr3fselect/R/FSelectorBatchShadowVariableSearch.R               |   78 +-
 mlr3fselect-1.6.0/mlr3fselect/R/ObjectiveFSelect.R                                 |   16 
 mlr3fselect-1.6.0/mlr3fselect/R/ObjectiveFSelectAsync.R                            |   41 +
 mlr3fselect-1.6.0/mlr3fselect/R/ObjectiveFSelectBatch.R                            |   36 -
 mlr3fselect-1.6.0/mlr3fselect/R/assertions.R                                       |   38 -
 mlr3fselect-1.6.0/mlr3fselect/R/auto_fselector.R                                   |    5 
 mlr3fselect-1.6.0/mlr3fselect/R/bibentries.R                                       |   27 
 mlr3fselect-1.6.0/mlr3fselect/R/embedded_ensemble_fselect.R                        |   19 
 mlr3fselect-1.6.0/mlr3fselect/R/ensemble_fselect.R                                 |   30 
 mlr3fselect-1.6.0/mlr3fselect/R/extract_inner_fselect_archives.R                   |   32 
 mlr3fselect-1.6.0/mlr3fselect/R/extract_inner_fselect_results.R                    |   34 -
 mlr3fselect-1.6.0/mlr3fselect/R/faggregate.R                                       |   27 
 mlr3fselect-1.6.0/mlr3fselect/R/fselect.R                                          |   20 
 mlr3fselect-1.6.0/mlr3fselect/R/fselect_nested.R                                   |    5 
 mlr3fselect-1.6.0/mlr3fselect/R/helper.R                                           |    9 
 mlr3fselect-1.6.0/mlr3fselect/R/mlr_callbacks.R                                    |   53 +
 mlr3fselect-1.6.0/mlr3fselect/R/mlr_fselectors.R                                   |   27 
 mlr3fselect-1.6.0/mlr3fselect/R/sugar.R                                            |   19 
 mlr3fselect-1.6.0/mlr3fselect/README.md                                            |   26 
 mlr3fselect-1.6.0/mlr3fselect/build/partial.rdb                                    |binary
 mlr3fselect-1.6.0/mlr3fselect/inst/testthat/helper_expectations.R                  |    7 
 mlr3fselect-1.6.0/mlr3fselect/inst/testthat/helper_fselector.R                     |    6 
 mlr3fselect-1.6.0/mlr3fselect/inst/testthat/helper_misc.R                          |   42 -
 mlr3fselect-1.6.0/mlr3fselect/man/ArchiveAsyncFSelect.Rd                           |    3 
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 mlr3fselect-1.6.0/mlr3fselect/man/AutoFSelector.Rd                                 |   19 
 mlr3fselect-1.6.0/mlr3fselect/man/CallbackAsyncFSelect.Rd                          |    3 
 mlr3fselect-1.6.0/mlr3fselect/man/CallbackBatchFSelect.Rd                          |    6 
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 mlr3fselect-1.6.0/mlr3fselect/man/FSelectInstanceAsyncMultiCrit.Rd                 |   13 
 mlr3fselect-1.6.0/mlr3fselect/man/FSelectInstanceAsyncSingleCrit.Rd                |   10 
 mlr3fselect-1.6.0/mlr3fselect/man/FSelectInstanceBatchMultiCrit.Rd                 |   10 
 mlr3fselect-1.6.0/mlr3fselect/man/FSelectInstanceBatchSingleCrit.Rd                |   19 
 mlr3fselect-1.6.0/mlr3fselect/man/FSelector.Rd                                     |    6 
 mlr3fselect-1.6.0/mlr3fselect/man/FSelectorAsync.Rd                                |   15 
 mlr3fselect-1.6.0/mlr3fselect/man/FSelectorAsyncFromOptimizerAsync.Rd              |    6 
 mlr3fselect-1.6.0/mlr3fselect/man/FSelectorBatch.Rd                                |   31 
 mlr3fselect-1.6.0/mlr3fselect/man/ObjectiveFSelect.Rd                              |    3 
 mlr3fselect-1.6.0/mlr3fselect/man/ObjectiveFSelectAsync.Rd                         |    3 
 mlr3fselect-1.6.0/mlr3fselect/man/ObjectiveFSelectBatch.Rd                         |    3 
 mlr3fselect-1.6.0/mlr3fselect/man/auto_fselector.Rd                                |   15 
 mlr3fselect-1.6.0/mlr3fselect/man/callback_async_fselect.Rd                        |    3 
 mlr3fselect-1.6.0/mlr3fselect/man/callback_batch_fselect.Rd                        |    3 
 mlr3fselect-1.6.0/mlr3fselect/man/embedded_ensemble_fselect.Rd                     |   20 
 mlr3fselect-1.6.0/mlr3fselect/man/ensemble_fs_result.Rd                            |   93 +-
 mlr3fselect-1.6.0/mlr3fselect/man/ensemble_fselect.Rd                              |   27 
 mlr3fselect-1.6.0/mlr3fselect/man/extract_inner_fselect_archives.Rd                |    8 
 mlr3fselect-1.6.0/mlr3fselect/man/extract_inner_fselect_results.Rd                 |    6 
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 mlr3fselect-1.6.0/mlr3fselect/man/mlr3fselect.async_freeze_archive.Rd              |    3 
 mlr3fselect-1.6.0/mlr3fselect/man/mlr3fselect.svm_rfe.Rd                           |    2 
 mlr3fselect-1.6.0/mlr3fselect/man/mlr_fselectors_genetic_search.Rd                 |    2 
 mlr3fselect-1.6.0/mlr3fselect/man/mlr_fselectors_random_search.Rd                  |    3 
 mlr3fselect-1.6.0/mlr3fselect/man/mlr_fselectors_rfe.Rd                            |   15 
 mlr3fselect-1.6.0/mlr3fselect/man/mlr_fselectors_rfecv.Rd                          |   21 
 mlr3fselect-1.6.0/mlr3fselect/man/mlr_fselectors_sequential.Rd                     |    6 
 mlr3fselect-1.6.0/mlr3fselect/man/mlr_fselectors_shadow_variable_search.Rd         |    3 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/helper.R                              |    5 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/setup.R                               |   14 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/teardown.R                            |    4 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_ArchiveAsyncFSelect.R            |   21 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_ArchiveBatchFSelect.R            |  322 ++++++++--
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_AutoFSelector.R                  |   94 ++
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_CallbackAsyncFSelect.R           |  254 ++++---
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_FSelectInstanceMultiCrit.R       |   21 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_FSelectInstanceSingleCrit.R      |   34 -
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_FSelectorAsyncDesignPoints.R     |    3 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_FSelectorBatchDesignPoints.R     |    6 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_FSelectorExhaustiveSearch.R      |    2 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_FSelectorRFE.R                   |   37 -
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_FSelectorRFECV.R                 |   28 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_FSelectorShadowVariableSearch.R  |   10 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_ObjectiveFSelect.R               |   90 +-
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_ObjectiveFSelectAsync.R          |   61 +
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_auto_fselector.R                 |   28 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_embedded_ensemble_fselect.R      |   16 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_ensemble_fselect.R               |  112 ++-
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_extract_inner_fselect_archives.R |  293 ++++++++-
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_extract_inner_fselect_result.R   |  306 ++++++++-
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_fselect.R                        |   30 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_fselect_nested.R                 |   12 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_fsi.R                            |  119 ++-
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_fsi_async.R                      |    6 
 mlr3fselect-1.6.0/mlr3fselect/tests/testthat/test_mlr_callbacks.R                  |    1 
 118 files changed, 2923 insertions(+), 1308 deletions(-)

More information about mlr3fselect at CRAN
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Package logging updated to version 0.10-111 with previous version 0.10-108 dated 2019-07-14

Title: R Logging Package
Description: Pure R implementation of the ubiquitous log4j package. It offers hierarchic loggers, multiple handlers per logger, level based filtering, space handling in messages and custom formatting.
Author: Mario Frasca [aut, cre], Walerian Sokolowski [aut]
Maintainer: Mario Frasca <mariotomo@gmail.com>

Diff between logging versions 0.10-108 dated 2019-07-14 and 0.10-111 dated 2026-05-21

 DESCRIPTION                        |   16 ++++++++--------
 MD5                                |    9 +++++----
 R/utils.R                          |    2 +-
 man/logging-package.Rd             |    2 +-
 tests/testthat/_problems           |only
 tests/testthat/test.msg-composer.R |    3 +++
 6 files changed, 18 insertions(+), 14 deletions(-)

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Package amadeus updated to version 2.0.0 with previous version 1.3.2.1 dated 2026-01-26

Title: Accessing and Analyzing Large-Scale Environmental Data
Description: Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.
Author: Mitchell Manware [aut, ctb] , Insang Song [aut, ctb] , Eva Marques [aut, ctb] , Mariana Alifa Kassien [aut, ctb] , Elizabeth Scholl [ctb] , Kyle Messier [aut, cre] , Spatiotemporal Exposures and Toxicology Group [cph]
Maintainer: Kyle Messier <kyle.messier@nih.gov>

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Package Spower updated to version 0.6.3 with previous version 0.6.2 dated 2026-05-05

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

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Package fiodata updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-05

Title: Regional and Multi-Regional Input-Output Data
Description: Provides Regional (Brazil, 2020) and Multi-Regional (World, 2000) input-output matrices for R. This package serves as a data-only companion to the 'fio' package, facilitating input-output analysis by providing standardized R6 data objects.
Author: Alberson da Silva Miranda [aut, cre, cph] , Celso Bissoli Sessa [aut, dtc]
Maintainer: Alberson da Silva Miranda <albersonmiranda@hotmail.com>

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Package LLMR updated to version 0.6.4 with previous version 0.6.3 dated 2025-10-11

Title: Interface for Large Language Model APIs in R
Description: Provides a unified interface to large language models across multiple providers. Supports text generation, tidy data workflows, structured output with optional JSON Schema validation, XML-like tag extraction, and embeddings. Includes chat sessions, consistent error handling, and parallel batch tools.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

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Package bioLeak updated to version 0.3.8 with previous version 0.3.7 dated 2026-04-29

Title: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
Description: Prevents and detects information leakage in biomedical machine learning. Provides leakage-resistant split policies (subject-grouped, batch-blocked, study leave-out, time-ordered), guarded preprocessing (train-only imputation, normalization, filtering, feature selection), cross-validated fitting with common learners, permutation-gap auditing, batch and fold association tests, and duplicate detection.
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package statgenHTP updated to version 1.0.9.2 with previous version 1.0.9.1 dated 2025-07-03

Title: High Throughput Phenotyping (HTP) Data Analysis
Description: Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (<https://cordis.europa.eu/project/id/731013>). Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Emilie J Millet [aut] , Maria Xose Rodriguez Alvarez [aut] , Diana Marcela Perez Valencia [aut] , Isabelle Sanchez [aut], Nadine Hilgert [aut], Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [aut] , Martin Boer [aut]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package ROpenCVLite updated to version 4.130.0 with previous version 4.110.0 dated 2025-05-05

Title: Helper Package for Installing 'OpenCV'
Description: Installs 'OpenCV' for use by other packages. 'OpenCV' <https://opencv.org/> is library of programming functions mainly aimed at real-time computer vision. This 'Lite' version installs the stable base version of 'OpenCV' and some of its experimental externally contributed modules. It does not provide R bindings directly.
Author: Simon Garnier [aut, cre, cph] , Muschelli John [ctb]
Maintainer: Simon Garnier <garnier@njit.edu>

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Package mpactr updated to version 0.3.3 with previous version 0.3.2 dated 2026-05-14

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

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Package ggpointless updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-09

Title: Extra Geometries and Stats for 'ggplot2'
Description: A collection of layers for 'ggplot2'. Provides geoms built on linear and radial gradients from the 'grid' package, giving areas, bars, paths, rectangles, and ridgelines a fading or glowing visual effect. Also includes mathematically driven layers — catenary curves, Chaikin's corner-cutting smoothing (Chaikin, 1974, <doi:10.1016/0146-664X(74)90028-8>), and Fourier-series reconstruction — plus Lexis diagrams, isotype bar charts.
Author: Markus Doering [aut, cre, cph]
Maintainer: Markus Doering <m4rkus.doering@gmail.com>

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Package bayestestR updated to version 0.18.0 with previous version 0.17.0 dated 2025-08-29

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Micah K. Wilson [aut] , Brenton M. Wiernik [aut] , Paul-Christian Buerkner [rev], Tristan Mahr [rev] , Henrik Singmann [ctb] , Quentin F. Gron [...truncated...]
Maintainer: Dominique Makowski <officialeasystats@gmail.com>

Diff between bayestestR versions 0.17.0 dated 2025-08-29 and 0.18.0 dated 2026-05-21

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Package tufte updated to version 0.15.0 with previous version 0.14.0 dated 2025-07-29

Title: Tufte's Styles for R Markdown Documents
Description: Provides R Markdown output formats to use Tufte styles for PDF and HTML output.
Author: Yihui Xie [aut] , Christophe Dervieux [ctb, cre] , JJ Allaire [aut], Andrzej Oles [ctb], Dave Liepmann [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Christophe Dervieux <cderv@posit.co>

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Package DSIR updated to version 0.7.0 with previous version 0.2.0 dated 2026-04-21

Title: Data Science Infrastructure for Global Health
Description: Supports global health data analysis, including a publication-ready 'ggplot2' theme, a 'flextable' defaults helper, a thin pie chart wrapper, built-in regional country-code datasets with a WHO region lookup helper, a geometric mean function for indicator aggregation, and convenience clients for the World Health Organization Global Health Observatory (GHO) OData API <https://ghoapi.azureedge.net/api/> and the United Nations Sustainable Development Goals (SDG) API <https://unstats.un.org/SDGAPI/swagger/>.
Author: Shanlong Ding [aut, cre]
Maintainer: Shanlong Ding <dings@who.int>

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Package comexr updated to version 0.3.0 with previous version 0.2.1 dated 2026-03-17

Title: Client for the Brazilian Foreign Trade Statistics API ('ComexStat')
Description: Interface to the 'ComexStat' API <https://comexstat.mdic.gov.br/> from the Brazilian Ministry of Development, Industry, Trade and Services (MDIC). Provides access to detailed export and import data, including general trade statistics (1997-present), city-level data, historical data (1989-1996), and auxiliary tables with product codes (NCM - Nomenclatura Comum do Mercosul, NBM - Nomenclatura Brasileira de Mercadorias, HS - Harmonized System), countries, economic classifications (CGCE - Classificacao por Grandes Categorias Economicas, SITC - Standard International Trade Classification, ISIC - International Standard Industrial Classification), and other categories. Uses only 'httr2' for HTTP requests and 'cli' for console messages.
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

Diff between comexr versions 0.2.1 dated 2026-03-17 and 0.3.0 dated 2026-05-21

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Package fuzzySim updated to version 4.54 with previous version 4.50 dated 2026-03-28

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

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Package ecorest updated to version 2.0.3 with previous version 2.0.2 dated 2026-03-30

Title: Conducts Analyses Informing Ecosystem Restoration Decisions
Description: Three sets of data and functions for informing ecosystem restoration decisions, particularly in the context of the U.S. Army Corps of Engineers. First, model parameters are compiled as a data set and associated metadata for over 300 habitat suitability models developed by the U.S. Fish and Wildlife Service (USFWS 1980, <https://www.fws.gov/policy-library/870fw1>). Second, functions for conducting habitat suitability analyses both for the models described above as well as generic user-specified model parameterizations. Third, a suite of decision support tools for conducting cost-effectiveness and incremental cost analyses (Robinson et al. 1995, IWR Report 95-R-1, U.S. Army Corps of Engineers).
Author: S. Kyle McKay [aut, cre] , Darixa D. Hernandez-Abrams [aut], Kiara C. Cushway [aut]
Maintainer: S. Kyle McKay <skmckay@gmail.com>

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Package spant updated to version 4.1.0 with previous version 4.0.0 dated 2026-05-08

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385>, Wilson (2025) <DOI:10.1002/mrm.30462> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin.wilson111@gmail.com>

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Package hanyupinyin updated to version 0.1.3 with previous version 0.1.1 dated 2026-04-22

Title: Convert Chinese Characters into Hanyu Pinyin
Description: Convert Chinese characters into Hanyu Pinyin (the official romanization system for Standard Chinese) with support for tones, toneless output, initials, URL slugs, and valid R variable names. The package was inspired by the now-orphaned CRAN package 'pinyin' (archived in April 2026 after the maintainer became unreachable). 'hanyupinyin' is a ground-up rewrite using the authoritative Unicode Unihan database, a vectorized engine, and modern R practices. Dictionary data are derived from the Unicode Unihan Database (Unicode Consortium, 2025) <https://www.unicode.org/reports/tr38/>.
Author: Haoran Cui [aut, cre]
Maintainer: Haoran Cui <hao.ran.cui@ktstat.com>

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Package tidyBdE updated to version 0.6.1 with previous version 0.6.0 dated 2026-03-23

Title: Retrieve Data from 'Banco de España'
Description: Tools for retrieving time series data from 'Banco de España' ('BdE') as 'tibble' objects. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system alongside the European Central Bank. This package is not sponsored, endorsed or administered by 'Banco de España'.
Author: Diego H. Herrero [aut, cre, cph]
Maintainer: Diego H. Herrero <dev.dieghernan@gmail.com>

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Package nanotime updated to version 0.3.15 with previous version 0.3.14 dated 2026-04-22

Title: Nanosecond-Resolution Time Support for R
Description: Full 64-bit resolution date and time functionality with nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type. Three additional classes offer interval, period and duration functionality for nanosecond-resolution timestamps.
Author: Dirk Eddelbuettel [aut, cre] , Leonardo Silvestri [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package lpcde updated to version 1.0.0 with previous version 0.1.6 dated 2025-02-25

Title: Boundary Adaptive Local Polynomial Conditional Density Estimator
Description: Tools for estimation and inference of conditional densities, derivatives and functions. This is the companion software for Cattaneo, Chandak, Jansson and Ma (2024) <doi:10.3150/23-BEJ1711>.
Author: Matias D. Cattaneo [aut, cre], Rajita Chandak [aut], Michael Jansson [aut], Xinwei Ma [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package rasterpic updated to version 0.5.0 with previous version 0.4.0 dated 2026-03-21

Title: Convert Digital Images into 'SpatRaster' Objects
Description: Create 'SpatRaster' objects, as defined by the 'terra' package, from digital images using a spatial object as a geographic reference. Supported inputs include objects from the 'sf', 'terra' and 'stars' packages. The main function is an S3 generic, so other packages can provide methods for additional spatial classes.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package CalibrateSSB updated to version 1.4.0 with previous version 1.3.0 dated 2020-08-04

Title: Weighting and Estimation for Panel Data with Non-Response
Description: Functions to calculate weights, estimates of changes and corresponding variance estimates for panel data with non-response. Partially overlapping samples are handled. Initially, weights are calculated by linear calibration. By default, the 'survey' package is used for this purpose. It is also possible to use 'ReGenesees', which can be installed from <https://github.com/DiegoZardetto/ReGenesees>. Variances of linear combinations (changes and averages) and ratios are calculated from a covariance matrix based on residuals according to the calibration model. The methodology was presented at the conference, The Use of R in Official Statistics, and is described in Langsrud (2016) <http://www.revistadestatistica.ro/wp-content/uploads/2016/06/RRS2_2016_A021.pdf>.
Author: Oeyvind Langsrud [aut, cre]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package seminrExtras updated to version 1.0.1 with previous version 1.0.0 dated 2026-04-29

Title: Conduct Additional Modeling and Analysis for 'seminr'
Description: Supplementary tools for evaluating and validating partial least squares structural equation models estimated with 'seminr'. Provides methods for predictive model assessment, importance-performance analysis with necessary condition testing, overfitting diagnostics, measurement model verification, mediator contribution analysis, unobserved heterogeneity detection via latent class and prediction-oriented segmentation, and congruence coefficient testing. All functions accept estimated 'seminr' model objects and return results with print, summary, and plot methods.
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>

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Package rtpcr updated to version 2.1.8 with previous version 2.1.7 dated 2026-04-13

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

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Package morpheus readmission to version 1.0-5 with previous version 1.0-4 dated 2023-02-09

Title: Estimate Parameters of Mixtures of Logistic Regressions
Description: Mixture of logistic regressions parameters (H)estimation with (U)spectral methods. The main methods take d-dimensional inputs and a vector of binary outputs, and return parameters according to the GLMs mixture model (General Linear Model). For more details see chapter 3 in the PhD thesis of Mor-Absa Loum: <https://theses.fr/s156435>, available here <https://theses.hal.science/tel-01877796/document>.
Author: Benjamin Auder [aut, cre], Mor-Absa Loum [aut]
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>

This is a re-admission after prior archival of version 1.0-4 dated 2023-02-09

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Package MMRcaseselection readmission to version 0.2.0 with previous version 0.1.0 dated 2020-06-03

Title: Case Classification and Selection Based on Regression Results
Description: Researchers doing a mixed-methods analysis (nested analysis as developed by Lieberman (2005) <doi:10.1017/S0003055405051762>) can use the package for the classification of cases and case selection using results of a linear regression. One can designate cases as typical, deviant, extreme and pathway case and use different case selection strategies for the choice of a case belonging to one of these types.
Author: Ingo Rohlfing [aut, cre]
Maintainer: Ingo Rohlfing <ingo.rohlfing@uni-passau.de>

This is a re-admission after prior archival of version 0.1.0 dated 2020-06-03

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Package insight updated to version 1.5.1 with previous version 1.5.0 dated 2026-04-14

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

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Package cvcqv readmission to version 1.0.3 with previous version 1.0.0 dated 2019-08-06

Title: Coefficient of Variation (CV) with Confidence Intervals (CI)
Description: Provides some easy-to-use functions and classes to calculate variability measures such as coefficient of variation with confidence intervals provided with all available methods. References are 'Panichkitkosolkul' (2013) <doi:10.1155/2013/324940>, 'Altunkaynak' & 'Gamgam' (2018) <doi:10.1080/03610918.2018.1435800>, 'Albatineh', 'Kibria', Wilcox & 'Zogheib' (2014) <doi:10.1080/02664763.2013.847405>.
Author: Maani Beigy [aut, cre]
Maintainer: Maani Beigy <manibeygi@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2019-08-06

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Package admiralonco updated to version 1.4.1 with previous version 1.4.0 dated 2026-01-29

Title: Oncology Extension Package for ADaM in 'R' Asset Library
Description: Programming oncology specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the 'admiral' package.
Author: Stefan Bundfuss [aut, cre], Amit Jain [aut], Vinh Nguyen [aut], Olga Starostecka [aut], Kiran Peddamudium [aut], Tomoyuki Namai [aut], Ross Farrugia [aut], Yirong Cao [ctb], Ashwini Weber [ctb], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline LLC [...truncated...]
Maintainer: Stefan Bundfuss <stefan.bundfuss@external.roche.com>

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Package yahoofinancer updated to version 0.5.0 with previous version 0.4.0 dated 2024-11-14

Title: Fetch Data from Yahoo Finance API
Description: Obtain historical and near real time data related to stocks, index and currencies from the Yahoo Finance API. This package is community maintained and is not officially supported by 'Yahoo'. The accuracy of data is only as correct as provided on <https://finance.yahoo.com/>.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package ksformat updated to version 0.7.1 with previous version 0.4.2 dated 2026-03-28

Title: 'SAS'-Style 'PROC FORMAT' for R
Description: Provides 'SAS' 'PROC FORMAT'-like functionality for creating and applying value formats in R. Supports discrete and range-based mapping of values to labels, reverse formatting (invalue), date/time/datetime formatting with built-in 'SAS' format names, multi-label formats, expression labels evaluated at apply-time, case-insensitive matching, import/export of format definitions, and proper handling of missing values (NA, NULL, NaN).
Author: Vladimir Larchenko [aut, cre], Igor Aleschenkov [aut]
Maintainer: Vladimir Larchenko <vladimir.larchenko@keystatsolutions.com>

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Package EDOtrans updated to version 0.3.5 with previous version 0.2.5 dated 2024-04-14

Title: Euclidean Distance-Optimized Data Transformation
Description: A data transformation method which takes into account the special property of scale non-invariance with a breakpoint at 1 of the Euclidean distance.
Author: Jorn Lotsch [aut, cre] , Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>

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Package SEQTaRget updated to version 1.4.2 with previous version 1.4.1 dated 2026-03-31

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

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Package scf updated to version 1.0.10 with previous version 1.0.8 dated 2026-05-14

Title: Analyzing the Survey of Consumer Finances
Description: Analyze public-use micro data from the Survey of Consumer Finances. Provides tools to download prepared data files, construct replicate-weighted multiply imputed survey designs, compute descriptive statistics and model estimates, and produce plots and tables. Methods follow design-based inference for complex surveys and pooling across multiple imputations. See the package website and the code book for background.
Author: Joseph Cohen [aut, cre]
Maintainer: Joseph Cohen <joseph.cohen@qc.cuny.edu>

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Package retroharmonize readmission to version 0.2.8 with previous version 0.2.7 dated 2026-01-14

Title: Ex Post Survey Data Harmonization
Description: Assist in reproducible retrospective (ex-post) harmonization of data, particularly individual level survey data, by providing tools for organizing metadata, standardizing the coding of variables, and variable names and value labels, including missing values, and documenting the data transformations, with the help of comprehensive s3 classes.
Author: Daniel Antal [aut, cre] , Marta Kolczynska [ctb]
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>

This is a re-admission after prior archival of version 0.2.7 dated 2026-01-14

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Package rerddapUtils updated to version 1.0.1 with previous version 1.0.0 dated 2026-05-19

Title: Miscellaneous Utilities for 'rerddap'
Description: The 'rerddapUtils' package is an 'R' package that is a set of four main functions designed to work with and extend the 'rerddap' package. These functions includes one for restricting by season, one for splitting large requests, and two for working with projected datasets. There are also two utility functions that provide estimates of the size of a proposed 'rerddap::griddap()' request.
Author: Roy Mendelssohn [aut, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package multimediate updated to version 0.1.6 with previous version 0.1.4 dated 2025-07-14

Title: Causal Mediation Analysis in Presence of Multiple Mediators Uncausally Related
Description: Estimates key quantities in causal mediation analysis - including average causal mediation effects (indirect effects), average direct effects, total effects, and proportions mediated - in the presence of multiple uncausally related mediators. Methods are described by Jerolon et al., (2021) <doi:10.1515/ijb-2019-0088> and extended to accommodate survival outcomes as described by Domingo-Relloso et al., (2024) <doi:10.1101/2024.02.16.24302923>.
Author: Allan Jerolon [aut], Arce Domingo-Relloso [aut], Samara Kiihl [cre, aut], Maria Tellez-Plaza [aut]
Maintainer: Samara Kiihl <samarak@unicamp.br>

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Package lpdensity updated to version 3.0 with previous version 2.5 dated 2024-10-06

Title: Local Polynomial Density Estimation and Inference
Description: Implements local polynomial distribution and density methods for point estimation, inference and bandwidth selection, documented in Cattaneo, Jansson and Ma (2020) <doi:10.1080/01621459.2019.1635480>, Cattaneo, Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>, and Cattaneo, Jansson and Ma (2024) <doi:10.1016/j.jeconom.2021.01.006>. lpdensity() constructs local polynomial distribution and density estimators with robust bias-corrected inference, and lpbwdensity() implements data-driven bandwidth selection.
Author: Matias D. Cattaneo [aut, cre], Michael Jansson [aut], Xinwei Ma [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package htrSPRanalysis readmission to version 0.1.3 with previous version 0.1.2 dated 2026-05-05

Title: Analysis of Surface Plasmon Resonance Data
Description: Analysis of Surface Plasmon Resonance (SPR) and Biolayer Interferometry data, with automations for high-throughput SPR. This version of the package fits the 1: 1 binding model, with and without bulkshift. It offers optional local or global Rmax fitting. The user must provide a sample sheet and a Carterra output file in Carterra's current format. There is a utility function to convert from Carterra's old output format. The user may run a custom pipeline or use the provided 'Runscript', which will produce a pdf file containing fitted Rmax, ka, kd and standard errors, a plot of the sensorgram and fits, and a plot of residuals. The script will also produce a .csv file with all of the relevant parameters for each spot on the SPR chip.
Author: Janice McCarthy Developer [aut, cre, cph], Kan Li Dev [aut], S. Moses Dennison [aut], Georgia D. Tomaras [aut]
Maintainer: Janice McCarthy Developer <janice.mccarthy@duke.edu>

This is a re-admission after prior archival of version 0.1.2 dated 2026-05-05

Diff between htrSPRanalysis versions 0.1.2 dated 2026-05-05 and 0.1.3 dated 2026-05-21

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Package ETDQualitizer updated to version 1.0.0 with previous version 0.9.0 dated 2025-09-09

Title: Automated Eye Tracking Data Quality Determination for Screen-Based Eye Trackers
Description: Compute common data quality metrics for accuracy, precision and data loss for screen-based eye trackers. The package supports gaze input in screen pixels or degrees and reports angular measures in degrees where appropriate. If you use this package, please cite Niehorster, D.C., Nyström, M., Hessels, R.S., Benjamins, J.S., Andersson, R., and Hooge, I.T.C. (2026). The fundamentals of eye tracking part 7: Determining data quality. Behavior Research Methods. <doi:10.3758/s13428-026-03039-4>.
Author: Diederick Niehorster [aut, cre, cph]
Maintainer: Diederick Niehorster <diederick_c.niehorster@humlab.lu.se>

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Package bayesianETAS readmission to version 2.0.0 with previous version 1.0.3 dated 2017-01-17

Title: Bayesian Estimation of the Temporal and Spatio-Temporal ETAS Models for Earthquake Occurrences
Description: The Epidemic Type Aftershock Sequence (ETAS) model is widely used for modelling and forecasting earthquake occurrences. This package implements Bayesian estimation routines for both the temporal and spatial ETAS model, allowing samples to be drawn from the full posterior distribution of the model parameters given an earthquake catalogue. The methods are described in Ross (2021) "Bayesian Estimation of the ETAS Model for Earthquake Occurrences" <doi:10.1785/0120200198>.
Author: Gordon J. Ross [aut, cre]
Maintainer: Gordon J. Ross <gordon@gordonjross.co.uk>

This is a re-admission after prior archival of version 1.0.3 dated 2017-01-17

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Package automatedRecLin updated to version 1.1.1 with previous version 1.1.0 dated 2026-05-08

Title: Record Linkage Based on an Entropy-Maximizing Classifier
Description: The goal of 'automatedRecLin' is to perform record linkage (also known as entity resolution) in unsupervised or supervised settings. It compares pairs of records from two datasets using selected comparison functions to estimate the probability or density ratio between matched and non-matched records. Based on these estimates, it predicts a set of matches that maximizes entropy. For details see: Lee et al. (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022001/article/00007-eng.htm>, Vo et al. (2023) <https://ideas.repec.org/a/eee/csdana/v179y2023ics0167947322002365.html>, Sugiyama et al. (2008) <doi:10.1007/s10463-008-0197-x>.
Author: Adam Struzik [aut, cre] , Maciej Beresewicz [aut, ctb]
Maintainer: Adam Struzik <adastr5@st.amu.edu.pl>

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Package bmgarch updated to version 2.1.0 with previous version 2.0.0 dated 2023-09-11

Title: Bayesian Multivariate GARCH Models
Description: Fit Bayesian multivariate GARCH models using 'Stan' for full Bayesian inference. Generate (weighted) forecasts for means, variances (volatility) and correlations. Currently DCC(P,Q), CCC(P,Q), pdBEKK(P,Q), and BEKK(P,Q) parameterizations are implemented, alongside a constant covariance baseline (that can be used for testing whether GARCH is warranted), based either on a multivariate gaussian normal or student-t distribution. DCC and CCC models are based on Engle (2002) <doi:10.1198/073500102288618487> and Bollerslev (1990). The BEKK parameterization follows Engle and Kroner (1995) <doi:10.1017/S0266466600009063> while the pdBEKK as well as the estimation approach for this package is described in Rast et al. (2020) <doi:10.31234/osf.io/j57pk>. The fitted models contain 'rstan' objects and can be examined with 'rstan' functions.
Author: Philippe Rast [aut, cre] , Stephen Martin [aut]
Maintainer: Philippe Rast <rast.ph@gmail.com>

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Package spatstat.sparse updated to version 3.2-0 with previous version 3.1-0 dated 2024-06-21

Title: Sparse Three-Dimensional Arrays and Linear Algebra Utilities
Description: Defines sparse three-dimensional arrays and supports standard operations on them. The package also includes utility functions for matrix calculations that are common in statistics, such as quadratic forms.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package ISwR updated to version 2.0-12 with previous version 2.0-11 dated 2025-10-23

Title: Introductory Statistics with R
Description: Data sets and scripts for text examples and exercises in P. Dalgaard (2008), `Introductory Statistics with R', 2nd ed., Springer Verlag, ISBN 978-0387790534.
Author: Peter Dalgaard [aut, cre]
Maintainer: Peter Dalgaard <pd.mes@cbs.dk>

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Package gkwdist updated to version 1.1.3 with previous version 1.1.2 dated 2026-01-08

Title: Generalized Kumaraswamy Distribution Family
Description: Implements the five-parameter Generalized Kumaraswamy ('gkw') distribution proposed by 'Carrasco, Ferrari and Cordeiro (2010)' <doi:10.48550/arXiv.1004.0911> and its seven nested sub-families for modeling bounded continuous data on the unit interval (0,1). The 'gkw' distribution extends the Kumaraswamy distribution described by Jones (2009) <doi:10.1016/j.stamet.2008.04.001>. Provides density, distribution, quantile, and random generation functions, along with analytical log-likelihood, gradient, and Hessian functions implemented in 'C++' via 'RcppArmadillo' for maximum computational efficiency. Suitable for modeling proportions, rates, percentages, and indices exhibiting complex features such as asymmetry, or heavy tails and other shapes not adequately captured by standard distributions like simple Beta or Kumaraswamy.
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

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Package dplR updated to version 1.7.9 with previous version 1.7.8 dated 2025-01-30

Title: Dendrochronology Program Library in R
Description: Perform tree-ring analyses such as detrending, chronology building, and cross dating. Read and write standard file formats used in dendrochronology.
Author: Andy Bunn [aut, cph, cre, trl], Mikko Korpela [aut, cph, trl], Franco Biondi [aut, cph], Filipe Campelo [aut, cph], Stefan Klesse [aut, cph], Pierre Merian [aut, cph], Fares Qeadan [aut, cph], Christian Zang [aut, cph], Allan Buras [ctb], Alice Cecil [...truncated...]
Maintainer: Andy Bunn <bunna@wwu.edu>

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Package plotbb updated to version 0.1.2 with previous version 0.1.1 dated 2026-01-30

Title: Grammar of Graphics for 'base' Plot
Description: A grammar of graphics framework built on 'base' graphics. It provides a 'bbplot' object and a '+' operator to incrementally compose plots from data, aesthetic mappings and layers, then render them using the base plotting system. The package includes common geometric layers (points, lines, segments, bars, histograms, boxplots and tiles), scales for color and other aesthetics, legends, faceting, themes, and significance annotations.
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package pandemonium updated to version 1.0.0 with previous version 0.2.4 dated 2025-11-03

Title: High Dimensional Analysis in Linked Spaces
Description: A 'shiny' GUI that performs high dimensional cluster analysis. This tool performs data preparation, clustering and visualisation within a dynamic GUI. With interactive methods allowing the user to change settings all without having to to leave the GUI. An earlier version of this package was described in Laa and Valencia (2022) <doi:10.1140/epjp/s13360-021-02310-1>.
Author: Gabriel McCoy [aut, cre] , Ursula Laa [aut] , German Valencia [aut]
Maintainer: Gabriel McCoy <gabe.mccoy02@gmail.com>

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Package LikertMakeR updated to version 2.3.0 with previous version 2.0.0 dated 2026-03-23

Title: Synthesise and Correlate Likert Scale and Rating-Scale Data Based on Summary Statistics
Description: Generate and correlate synthetic Likert and rating-scale questionnaire responses with predefined means, standard deviations, Cronbach's Alpha, Factor Loading table, coefficients, and other summary statistics. It can be used to simulate Likert data, construct multi-item scales, generate correlation matrices, and create example survey datasets for teaching statistics, psychometrics, and methodological research. Worked examples and documentation are available in the package articles, accessible via the package website, <https://winzarh.github.io/LikertMakeR/>.
Author: Hume Winzar [cre, aut]
Maintainer: Hume Winzar <winzar@gmail.com>

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Wed, 20 May 2026

Package lme4breeding updated to version 1.1.2 with previous version 1.1.1 dated 2026-02-15

Title: Breeding-Related Mixed-Effects Models
Description: Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package tokenizers.bpe updated to version 0.1.5 with previous version 0.1.4 dated 2025-09-05

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

Diff between tokenizers.bpe versions 0.1.4 dated 2025-09-05 and 0.1.5 dated 2026-05-20

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Package statuser updated to version 0.3.0 with previous version 0.2.1 dated 2026-04-25

Title: Statistical Tools Designed for End Users
Description: The statistical tools in this package do one of four things: 1) Enhance basic statistical functions with more flexible inputs, smarter defaults, and richer, clearer, and ready-to-use output (e.g., t.test2()) 2) Produce publication-ready commonly needed figures with one line of code (e.g., plot_cdf()) 3) Implement novel analytical tools developed by the authors (e.g., twolines()) 4) Deliver niche functions of high value to the authors that are not easily available elsewhere (e.g., clear(), convert_to_sql(), resize_images()).
Author: Uri Simonsohn [aut, cre]
Maintainer: Uri Simonsohn <urisohn@gmail.com>

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Package gctsc updated to version 0.2.4 with previous version 0.2.3 dated 2026-03-20

Title: Gaussian and Student-t Copula Models for Count Time Series
Description: Provides likelihood-based inference for Gaussian and Student-t copula models for univariate count time series. Supports Poisson, negative binomial, binomial, beta-binomial, and zero-inflated marginals with ARMA dependence structures. Includes simulation, maximum-likelihood estimation, residual diagnostics, and predictive inference. Implements Time Series Minimax Exponential Tilting (TMET) <doi:10.1016/j.csda.2026.108344>, an adaptation of minimax exponential tilting of Botev (2017) <doi:10.1111/rssb.12162>. Also provides a linear-cost implementation of the Geweke–Hajivassiliou–Keane (GHK) simulator following Masarotto and Varin (2012) <doi:10.1214/12-EJS721>, and the Continuous Extension (CE) approximation of Nguyen and De Oliveira (2025) <doi:10.1080/02664763.2025.2498502>. The package follows the S3 design philosophy of 'gcmr' but is developed independently.
Author: Quynh Nguyen [aut, cre], Victor De Oliveira [aut]
Maintainer: Quynh Nguyen <nqnhu2209@gmail.com>

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Package backbone updated to version 3.0.4 with previous version 3.0.3 dated 2025-12-08

Title: Extracts the Backbone from Networks
Description: An implementation of methods for extracting a sparse unweighted network (i.e. a backbone) from an unweighted network (e.g., Hamann et al., 2016 <doi:10.1007/s13278-016-0332-2>), a weighted network (e.g., Serrano et al., 2009 <doi:10.1073/pnas.0808904106>), or a weighted projection (e.g., Neal et al., 2021 <doi:10.1038/s41598-021-03238-3>).
Author: Zachary Neal [aut, cre] , Rachel Domagalski [ctb], Bruce Sagan [ctb], Karl Godard [ctb]
Maintainer: Zachary Neal <zpneal@msu.edu>

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Package dendroTools updated to version 1.2.16 with previous version 1.2.15 dated 2025-07-18

Title: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are four core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. Similar function is daily_response_seascorr(), which implements partial correlations in the analysis of daily response functions. For the enthusiast of monthly data, there is monthly_response() function. The last core function is compare_methods(), which effectively compares several linear and nonlinear regression algorithms on the task of climate reconstruction.
Author: Jernej Jevsenak [aut, cre]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

Diff between dendroTools versions 1.2.15 dated 2025-07-18 and 1.2.16 dated 2026-05-20

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Package maestro updated to version 1.1.1 with previous version 1.1.0 dated 2026-04-20

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

Diff between maestro versions 1.1.0 dated 2026-04-20 and 1.1.1 dated 2026-05-20

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Package fastei updated to version 0.0.19 with previous version 0.0.16 dated 2026-05-08

Title: Methods for ''A Fast Alternative for the R x C Ecological Inference Case''
Description: Estimates the probability matrix for the R×C Ecological Inference problem using the Expectation-Maximization Algorithm with four approximation methods for the E-Step, and an exact method as well. It also provides a bootstrap function to estimate the standard deviation of the estimated probabilities. In addition, it has functions that aggregate rows optimally to have more reliable estimates in cases of having few data points. For comparing the probability estimates of two groups, a Wald test routine is implemented. The library has data from the first round of the Chilean Presidential Election 2021 and can also generate synthetic election data. Methods described in Thraves, Charles; Ubilla, Pablo; Hermosilla, Daniel (2024) ''A Fast Ecological Inference Algorithm for the R×C case'' <doi:10.2139/ssrn.4832834>.
Author: Charles Thraves [aut] , Pablo Ubilla [aut] , Daniel Hermosilla [aut, cre]
Maintainer: Daniel Hermosilla <daniel.hermosilla.r@ug.uchile.cl>

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Package f1pits updated to version 1.3.1 with previous version 1.3.0 dated 2026-05-11

Title: F1 Pit Stop Datasets
Description: Formula 1 pit stop data. The package provides information on teams and drivers across seasons (2019 or higher). It also includes a function to visualize pit stop performance.
Author: Jose Jordan-Soria [aut, cre]
Maintainer: Jose Jordan-Soria <jjose.jjordan@gmail.com>

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Package treestats updated to version 1.70.11 with previous version 1.70.8 dated 2025-11-12

Title: Phylogenetic Tree Statistics
Description: Collection of phylogenetic tree statistics, collected throughout the literature. All functions have been written to maximize computation speed. The package includes umbrella functions to calculate all statistics, all balance associated statistics, or all branching time related statistics. Furthermore, the 'treestats' package supports summary statistic calculations on Ltables, provides speed-improved coding of branching times, Ltable conversion and includes algorithms to create intermediately balanced trees. Full description can be found in Janzen (2024) <doi:10.1016/j.ympev.2024.108168>.
Author: Thijs Janzen [cre, aut]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

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

Title: Staggered Difference-in-Differences with Nonlinear Outcomes
Description: Supports staggered difference-in-differences designs with nonlinear outcomes for both panel and repeated cross-section data. Implements estimators for staggered treatment adoption with binary, count, and other nonlinear outcomes, extending Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001> to settings with nonlinear outcome models such as logit, probit, and Poisson. For panel data, units are followed over time and 'idname' identifies repeated observations. For repeated cross-section data, observations are independent within each time period; 'idname' is optional and may identify survey records or households, but the estimator does not require the same units to appear across periods. Repeated cross-section estimation includes pooled quasi-maximum likelihood approaches motivated by Wooldridge (2023) <doi:10.1093/ectj/utad016>, with optional weighting and clustered inference. Methods also draw on Roth and Sant'Anna (2023) <doi:10.3982/ECTA19402> and Sant'A [...truncated...]
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>

Diff between NonlinearDiD versions 0.1.0 dated 2026-05-05 and 0.2.0 dated 2026-05-20

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Package ggpicrust2 updated to version 2.5.16 with previous version 2.5.14 dated 2026-04-29

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

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Package dendRoAnalyst updated to version 0.1.6 with previous version 0.1.5 dated 2024-03-19

Title: A Tool for Processing and Analyzing Dendrometer Data
Description: There are various functions for managing and cleaning data before the application of different approaches. This includes identifying and erasing sudden jumps in dendrometer data not related to environmental change, identifying the time gaps of recordings, and changing the temporal resolution of data to different frequencies. Furthermore, the package calculates daily statistics of dendrometer data, including the daily amplitude of tree growth. Various approaches can be applied to separate radial growth from daily cyclic shrinkage and expansion due to uptake and loss of stem water. In addition, it identifies periods of consecutive days with user-defined climatic conditions in daily meteorological data, then check what trees are doing during that period.
Author: Sugam Aryal [aut, cre, dtc], Martin Haeusser [aut], Jussi Griessinger [aut], Ze-Xin Fan [aut], Achim Braeuning [aut, dgs]
Maintainer: Sugam Aryal <sugam.aryal@fau.de>

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Package ipeaplot updated to version 0.5.2 with previous version 0.5.1 dated 2026-02-06

Title: Add Ipea Editorial Standards to 'ggplot2' Graphics
Description: Convenient functions to create 'ggplot2' graphics following the editorial guidelines of the Institute for Applied Economic Research (Ipea).
Author: Pedro Ferreira [aut, cre], Pedro Jorge [aut], Daniel Lima [aut], Gustavo Coelho [aut], Rafael H. M. Pereira [aut], Lucas Mation [aut], Fabio Vaz [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Pedro Ferreira <pedro.ferreira2@ipea.gov.br>

Diff between ipeaplot versions 0.5.1 dated 2026-02-06 and 0.5.2 dated 2026-05-20

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Package openairmaps updated to version 0.10.1 with previous version 0.10.0 dated 2026-04-04

Title: Create Maps of Air Pollution Data
Description: Combine the air quality data analysis methods of 'openair' with the JavaScript 'Leaflet' (<https://leafletjs.com/>) library. Functionality includes plotting site maps, "directional analysis" figures such as polar plots, and air mass trajectories.
Author: Jack Davison [cre, aut] , David Carslaw [aut]
Maintainer: Jack Davison <jack.davison@wsp.com>

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Package geobr updated to version 2.0.0 with previous version 1.9.1 dated 2024-09-06

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>

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Package r.proxy updated to version 0.1.4 with previous version 0.1.3 dated 2023-08-15

Title: Set Proxy in R Console
Description: The use of proxies is required in certain network environments. Despite the power of system level software, it is still inconvenient to switch proxy networks at random in R's console. This package is designed to provide one-click switching between proxy and non-proxy states.
Author: Yonghe Xia [aut, ctb, cre]
Maintainer: Yonghe Xia <xiayh17@gmail.com>

Diff between r.proxy versions 0.1.3 dated 2023-08-15 and 0.1.4 dated 2026-05-20

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More information about r.proxy at CRAN
Permanent link

Package predictsr updated to version 0.2.1 with previous version 0.2.0 dated 2025-11-28

Title: Access the 'PREDICTS' Biodiversity Database
Description: Fetches the 'PREDICTS' database and relevant metadata from the Data Portal at the Natural History Museum, London <https://data.nhm.ac.uk>. Data were collated from over 400 existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from sites around the world. These data are described in Hudson et al. (2013) <doi:10.1002/ece3.2579>.
Author: Connor Duffin [aut, cre], The Trustees of The Natural History Museum, London [cph]
Maintainer: Connor Duffin <c.duffin@protonmail.com>

Diff between predictsr versions 0.2.0 dated 2025-11-28 and 0.2.1 dated 2026-05-20

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More information about predictsr at CRAN
Permanent link

Package openair updated to version 3.1.0 with previous version 3.0.0 dated 2026-04-02

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically regular time series and air quality measurement, meteorological data and dispersion model output can be analysed. The package is described in Carslaw and Ropkins (2012, <doi:10.1016/j.envsoft.2011.09.008>) and subsequent papers.
Author: David Carslaw [aut, cre] , Jack Davison [aut] , Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between openair versions 3.0.0 dated 2026-04-02 and 3.1.0 dated 2026-05-20

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More information about openair at CRAN
Permanent link

Package getCRUCLdata readmission to version 2.0.0 with previous version 1.0.3 dated 2025-02-08

Title: 'CRU' 'CL' v. 2.0 Climatology Client
Description: Provides functions that automate downloading and importing University of East Anglia Climate Research Unit ('CRU') 'CL' v. 2.0 climatology data, facilitates the calculation of minimum temperature and maximum temperature and formats the data into a data.table object or a 'terra' 'SpatRaster' object. 'CRU' 'CL' v. 2.0 data are a gridded climatology of 1961-1990 monthly means released in 2002 and cover all land areas (excluding Antarctica) at 10 arc minutes (0.1666667 degree) resolution. For more information see the description of the data provided by the University of East Anglia Climate Research Unit, <https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.
Author: Adam H. Sparks [aut, cre]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

This is a re-admission after prior archival of version 1.0.3 dated 2025-02-08

Diff between getCRUCLdata versions 1.0.3 dated 2025-02-08 and 2.0.0 dated 2026-05-20

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More information about getCRUCLdata at CRAN
Permanent link

Package rym updated to version 1.1.2 with previous version 1.0.6 dated 2023-03-17

Title: R Interface to Yandex Metrica API
Description: Allows work with 'Management API' for load counters, segments, filters, user permissions and goals list from Yandex Metrica, 'Reporting API' allows you to get information about the statistics of site visits and other data without using the web interface, 'Logs API' allows to receive non-aggregated data and 'Compatible with Google Analytics Core Reporting API v3' allows receive information about site traffic and other data using field names from Google Analytics Core API. For more information see official documents <https://yandex.ru/dev/metrika/doc/api2/concept/about-docpage>.
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rym versions 1.0.6 dated 2023-03-17 and 1.1.2 dated 2026-05-20

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More information about rym at CRAN
Permanent link

Package extraoperators updated to version 0.4.0 with previous version 0.3.0 dated 2023-12-13

Title: Extra Binary Relational and Logical Operators
Description: Speed up common tasks, particularly logical or relational comparisons and routine follow up tasks such as finding the indices and subsetting. Inspired by mathematics, where something like: 3 < x < 6 is a standard, elegant and clear way to assert that x is both greater than 3 and less than 6 (see for example <https://en.wikipedia.org/wiki/Relational_operator>), a chaining operator is implemented. The chaining operator, %c%, allows multiple relational operations to be used in quotes on the right hand side for the same object, on the left hand side. The %e% operator allows something like set-builder notation (see for example <https://en.wikipedia.org/wiki/Set-builder_notation>) to be used on the right hand side. Operators have built in prefixes defined for all, any, subset, and which to reduce the amount of code needed for common tasks, such as return those values that are true.
Author: Joshua F. Wiley [aut, cre]
Maintainer: Joshua F. Wiley <jwiley.psych@gmail.com>

Diff between extraoperators versions 0.3.0 dated 2023-12-13 and 0.4.0 dated 2026-05-20

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Permanent link

Package bcp readmission to version 4.0.4 with previous version 4.0.3 dated 2018-08-13

Title: Bayesian Analysis of Change Point Problems
Description: Provides an implementation of the product partition model described in Barry and Hartigan (2019) <doi:10.2307/2290726> for the normal errors change point problem using Markov Chain Monte Carlo (MCMC). It also extends the methodology to regression models on a connected graph as reported in Wang and Emerson (2015) <doi:10.48550/arXiv.1509.00817>, allowing estimation of change point models with multivariate responses. Parallel MCMC, previously available in 'bcp' v.3.0.0, is currently not implemented.
Author: Xiaofei Wang [aut], Chandra Erdman [aut], John W. Emerson [aut], Kaiguang Zhao [aut, cre]
Maintainer: Kaiguang Zhao <zhao.1423@osu.edu>

This is a re-admission after prior archival of version 4.0.3 dated 2018-08-13

Diff between bcp versions 4.0.3 dated 2018-08-13 and 4.0.4 dated 2026-05-20

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Permanent link

Package ngme2 updated to version 0.9.8 with previous version 0.9.7 dated 2026-04-28

Title: Linear Latent Non-Gaussian Models with Flexible Distributions
Description: Fits and analyzes linear latent non-Gaussian models for temporal, spatial, and space-time data. The package provides model components for autoregressive and Ornstein-Uhlenbeck processes, random walks, Matern fields based on stochastic partial differential equations, separable and non-separable space-time models, graph-based Matern models, bivariate type-G fields, and user-defined sparse operators. Latent fields and observation models can use Gaussian and non-Gaussian noise distributions, including normal inverse Gaussian, generalized asymmetric Laplace, and skew-t distributions. Functions are included for simulation, likelihood-based estimation, prediction, cross-validation, convergence diagnostics, stochastic gradient optimization, batch-means confidence intervals, and posterior-like sampling. The modeling framework is described in Bolin, Jin, Simas and Wallin (2026) "A Unified and Computationally Efficient Non-Gaussian Statistical Modeling Framework" <doi:10.48550/arXiv.2602.23987 [...truncated...]
Author: David Bolin [aut, cph], Xiaotian Jin [aut, cre], Alexandre Simas [aut], Jonas Wallin [aut], Andrea V. Rocha [ctb] , Timothy A. Davis [ctb, cph] , Patrick R. Amestoy [ctb, cph] , Iain S. Duff [ctb, cph] , John K. Reid [ctb, cph] , Yanqing Chen [ctb, c [...truncated...]
Maintainer: Xiaotian Jin <xiaotian.jin@kaust.edu.sa>

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Permanent link

Package CVglasso updated to version 1.0.1 with previous version 1.0 dated 2018-06-04

Title: Lasso Penalized Precision Matrix Estimation
Description: Estimates a lasso penalized precision matrix via blockwise coordinate descent (BCD). This package is a simple wrapper around the popular 'glasso' package and extends and enhances its capabilities. These enhancements include built-in cross validation and visualizations. See Friedman et al. (2008) <doi:10.1093/biostatistics/kxm045> for details regarding the estimation method.
Author: Matt Galloway [aut], James Curran [aut, cre]
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Permanent link

Package climatol updated to version 4.5-0 with previous version 4.4-0 dated 2025-12-17

Title: Climate Tools (Series Homogenization and Derived Products)
Description: Functions for the quality control, homogenization and missing data filling of climatological series and to obtain climatological summaries and grids from the results. Also functions to display wind-roses, meteograms, Walter&Lieth diagrams, and more.
Author: Jose A. Guijarro [aut, cre]
Maintainer: Jose A. Guijarro <jaguijarro21@gmail.com>

Diff between climatol versions 4.4-0 dated 2025-12-17 and 4.5-0 dated 2026-05-20

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Package spatialEco updated to version 2.0-5 with previous version 2.0-4 dated 2026-04-04

Title: Spatial Analysis and Modelling Utilities
Description: Utilities to support spatial data manipulation, query, sampling and modelling in ecological applications. Functions include models for species population density, spatial smoothing, multivariate separability, point process model for creating pseudo- absences and sub-sampling, Quadrant-based sampling and analysis, auto-logistic modeling, sampling models, cluster optimization, statistical exploratory tools and raster-based metrics.
Author: Jeffrey S. Evans [aut, cre] , Melanie A. Murphy [ctb], Karthik Ram [ctb]
Maintainer: Jeffrey S. Evans <sage_insights@outlook.com>

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Permanent link

Package ryandexdirect updated to version 3.6.6 with previous version 3.6.2 dated 2023-03-17

Title: Load Data From 'Yandex Direct'
Description: Load data from 'Yandex Direct' API V5 <https://yandex.ru/dev/direct/doc/dg/concepts/about-docpage> into R. Provide function for load lists of campaings, ads, keywords and other objects from 'Yandex Direct' account. Also you can load statistic from API 'Reports Service' <https://yandex.ru/dev/direct/doc/reports/reports-docpage>. And allows keyword bids management.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between ryandexdirect versions 3.6.2 dated 2023-03-17 and 3.6.6 dated 2026-05-20

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More information about ryandexdirect at CRAN
Permanent link

Package r5r updated to version 2.4.0 with previous version 2.3.0 dated 2025-08-21

Title: Rapid Realistic Routing with 'R5'
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks engine <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time and monetary cost matrices using seamless parallel computing on top of the R5 Java machine. While R5 is developed by Conveyal, the package r5r is independently developed by a team at the Institute for Applied Economic Research (Ipea) with contributions from collaborators. Apart from the documentation in this package, users will find additional information on R5 documentation at <https://docs.conveyal.com/>. Although we try to keep new releases of r5r in synchrony with R5, the development of R5 follows Conveyal's independent update process. Hence, users should confirm the R5 version implied by the Conveyal user manual (see <https://docs.conveyal.com/changelog>) correspon [...truncated...]
Author: Marcus Saraiva [aut] , Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Alex Magnus [aut], Matthew Wigginton Bhagat-Conway [aut] , Carlos Kaue Vieira Braga [ctb] , Luyu Liu [ctb] , Egor Kotov [ctb] , Daniel Snow [ctb], Ipea - Institute for [...truncated...]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package mrgsolve updated to version 2.0.1 with previous version 1.7.2 dated 2026-01-22

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

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Package gtfsio updated to version 1.2.1 with previous version 1.2.0 dated 2024-10-11

Title: Read and Write General Transit Feed Specification (GTFS) Files
Description: Tools for the development of packages related to General Transit Feed Specification (GTFS) files. Establishes a standard for representing GTFS feeds using R data types. Provides fast and flexible functions to read and write GTFS feeds while sticking to this standard. Defines a basic 'gtfs' class which is meant to be extended by packages that depend on it. And offers utility functions that support checking the structure of GTFS objects.
Author: Daniel Herszenhut [aut] , Flavio Poletti [aut, cre], Mark Padgham [aut], Rafael H. M. Pereira [rev] , Tom Buckley [rev], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>

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Package fuseMLR readmission to version 0.0.4 with previous version 0.0.2 dated 2025-10-13

Title: Fusing Machine Learning in R
Description: Recent technological advances have enable the simultaneous collection of multi-omics data i.e., different types or modalities of molecular data, presenting challenges for integrative prediction modeling due to the heterogeneous, high-dimensional nature and possible missing modalities of some individuals. We introduce this package for late integrative prediction modeling, enabling modality-specific variable selection and prediction modeling, followed by the aggregation of the modality-specific predictions to train a final meta-model. This package facilitates conducting late integration predictive modeling in a systematic, structured, and reproducible way.
Author: Cesaire J. K. Fouodo [aut, cre], Marina Bleskina [ctb]
Maintainer: Cesaire J. K. Fouodo <cesaire.joris.kuete.fouodo@emory.edu>

This is a re-admission after prior archival of version 0.0.2 dated 2025-10-13

Diff between fuseMLR versions 0.0.2 dated 2025-10-13 and 0.0.4 dated 2026-05-20

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Package ECoL updated to version 0.4.4 with previous version 0.3.0 dated 2019-11-05

Title: Complexity Measures for Supervised Problems
Description: Provides measures to characterize the complexity of classification and regression problems based on aspects that quantify the linearity of the data, the presence of informative feature, the sparsity and dimensionality of the datasets. This package provides bug fixes, generalizations and implementations of many state of the art measures. The measures are described in the papers: Lorena et al. (2019) <doi:10.1145/3347711> and Lorena et al. (2018) <doi:10.1007/s10994-017-5681-1>.
Author: Luis Garcia [aut, cre], Ana Lorena [aut, ctb], Marcilio Souto [aut, ctb], Tin K. Ho [aut, ctb]
Maintainer: Luis Garcia <luis.garcia@unb.br>

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Package brickster updated to version 0.2.13 with previous version 0.2.12 dated 2026-02-04

Title: R Toolkit for 'Databricks'
Description: Collection of utilities that improve using 'Databricks' from R. Primarily functions that wrap specific 'Databricks' APIs (<https://docs.databricks.com/api>), 'RStudio' connection pane support, quality of life functions to make 'Databricks' simpler to use.
Author: Zac Davies [aut, cre], Rafi Kurlansik [aut], Databricks [cph, fnd]
Maintainer: Zac Davies <zac@databricks.com>

Diff between brickster versions 0.2.12 dated 2026-02-04 and 0.2.13 dated 2026-05-20

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More information about brickster at CRAN
Permanent link

Package BRCore updated to version 2.0.7 with previous version 2.0.5 dated 2026-05-18

Title: A Unified Framework for Identification and Ecological Interpretation of Microbial Data from Bioenergy Research Centers
Description: A unified framework for identification and ecological interpretation of core microbiomes across time and space, enhancing robustness and reproducibility in microbiome data analysis. 'BRCore' implements the workflow proposed by Shade and Stopnisek (2019) and incorporates additional rarefaction steps. The proposed workflow aims to identify persistent microbiomes using abundance-occupancy distributions and neutral community model fitting. For more details on abundance-occupancy distributions see Shade A, Stopnisek N (2019) <doi:10.1016/j.mib.2019.09.008>, for neutral models, see Sloan et al. (2006) <doi:10.1111/j.1462-2920.2005.00956.x> and Burns et al. (2015) <doi:10.1038/ismej.2015.142>.
Author: Bolivar Aponte Rolon [aut, cre] , Gian Maria Niccolo Benucci [aut] , Brandon Kristy [aut] , Ashley Shade [aut] , Nejc Stopnisek [aut] , Adina Howe [aut] , Center for Advanced Bioenergy and Bioproducts Innovation [cph, fnd], Great Lakes Bioenergy Rese [...truncated...]
Maintainer: Bolivar Aponte Rolon <bolaponte@pm.me>

Diff between BRCore versions 2.0.5 dated 2026-05-18 and 2.0.7 dated 2026-05-20

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More information about BRCore at CRAN
Permanent link

Package bage updated to version 0.10.9 with previous version 0.10.8 dated 2026-02-22

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

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Package armadillo4r updated to version 0.9.0 with previous version 0.8.0 dated 2026-04-08

Title: An 'Armadillo' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Armadillo' 'C++' library for linear algebra and scientific computing. This implementation is derived from Vargas Sepulveda and Schneider Malamud (2024) <doi:10.1016/j.softx.2025.102087>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Jonathan Schneider Malamud [ctb], Conrad Sanderson [aut] )
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

Diff between armadillo4r versions 0.8.0 dated 2026-04-08 and 0.9.0 dated 2026-05-20

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Tue, 19 May 2026

Package ggforestplotR updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-22

Title: Publication-Ready Forest Plots with 'ggplot2'
Description: Transform model coefficients into flexible forest plots using 'ggplot2'. Provides helpers to standardize coefficient data from a range of modelling workflows and render publication-ready forest plots with a consistent interface.
Author: Carson Richardson [aut, cre, cph]
Maintainer: Carson Richardson <carson.richardson@outlook.com>

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Package fsdaR updated to version 0.9-1 with previous version 0.9-0 dated 2023-12-05

Title: Robust Data Analysis Through Monitoring and Dynamic Visualization
Description: Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis (FSDA)' which is comprehensive and computationally efficient software package for robust statistics in regression, multivariate and categorical data analysis. The current R version implements tools for regression: (forward search, S- and MM-estimation, least trimmed squares (LTS) and least median of squares (LMS)), for multivariate analysis (forward search, S- and MM-estimation), for cluster analysis and cluster-wise regression. The distinctive feature of our package is the possibility of monitoring the statistics of interest as a function of breakdown point, efficiency or subset size, depending on the estimator. This is accompanied by a rich set of graphical features, such as dynamic brushing, linking, particularly useful for exploratory data analysis.
Author: Valentin Todorov [aut, cre] , Emmanuele Sordini [aut], Aldo Corbellini [ctb], Francesca Torti [ctb], Marco Riani [ctb], Domenico Perrotta [ctb], Andrea Cerioli [ctb]
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package vismeteor updated to version 3.0.1 with previous version 3.0.0 dated 2026-05-16

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

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Package verdadecu updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-18

Title: Data from the Ecuador Truth Commission
Description: Provides access to data collected by the Ecuadorian Truth Commission. Allows users to extract and analyze systematized information for human rights research in Ecuador. The package contains datasets documenting human rights violations from 1984-2008, including victim information, violation types, perpetrators, and geographic distribution.
Author: Adriana Robles [aut] , Javier Borja [aut, cre]
Maintainer: Javier Borja <javier@demografiando.pro>

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Package spicy updated to version 0.12.0 with previous version 0.11.0 dated 2026-05-04

Title: Descriptive Statistics, Summary Tables, and Data Management Tools
Description: Provides tabulation, descriptive-summary, and variable-inspection tools for applied data analysis. Frequency tables and cross-tabulations with contingency-table association measures (Cramer's V, Phi, Goodman-Kruskal Gamma, Kendall's Tau-b, Somers' D, and others); categorical and continuous summary tables; regression coefficient tables for one or more 'lm' or 'glm' fits side by side; and outcome-by-group comparison tables from linear models with optional additive covariate adjustment. All table outputs follow APA conventions and expose 'broom'-compatible 'tidy()' / 'glance()' methods for downstream pipelines. Helpers cover interactive codebooks, variable-label extraction, clipboard export, and row-wise descriptive summaries.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

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Package owd updated to version 1.0-7 with previous version 1.0.6 dated 2020-08-05

Title: Open Working Directory
Description: Open the current working directory (or a given directory path) in your computer's file manager.
Author: Benjamin G. Feakins [aut, cre] , Benjamin J. Cairns [ctb] , University of Oxford [cph, sht]
Maintainer: Benjamin G. Feakins <feakster@posteo.eu>

Diff between owd versions 1.0.6 dated 2020-08-05 and 1.0-7 dated 2026-05-19

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Package osmclass updated to version 0.1.5 with previous version 0.1.4 dated 2026-05-02

Title: Classify Open Street Map Features
Description: Classify Open Street Map (OSM) features into meaningful functional or analytical categories. Designed for OSM PBF files, e.g. from <https://download.geofabrik.de/> imported as spatial data frames. A classification consists of a list of categories that are related to certain OSM tags and values. Given a layer from an OSM PBF file and a classification, the main osm_classify() function returns a classification data table giving, for each feature, the primary and alternative categories (if there is overlap) assigned, and the tag(s) and value(s) matched on. The package also contains a classification of OSM features by economic function/significance, following Krantz (2023) <https://www.ssrn.com/abstract=4537867>.
Author: Sebastian Krantz [aut, cre]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package nhanesdiva updated to version 1.0.1 with previous version 1.0.0 dated 2026-05-19

Title: NHANES Data Search, Preview, and Download Tools
Description: Search, preview, and download datasets from the National Health and Nutrition Examination Survey (NHANES) across survey cycles. The package provides functions to identify relevant datasets by keyword, inspect available .XPT files before downloading, and organize retrieved data locally. Data are retrieved from the NHANES web services available at <https://wwwn.cdc.gov/nchs/nhanes/> .
Author: Sushma Dahal [aut, cre]
Maintainer: Sushma Dahal <sushdahal@gmail.com>

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Package groupedHyperframe readmission to version 0.4.1 with previous version 0.3.6 dated 2026-03-10

Title: Grouped Hyper Data Frame
Description: To aggregate a hyper data frame, defined in the package 'spatstat.geom', according to a grouping structure. To facilitate downstream analysis based on a "grouped" hyper data frame.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

This is a re-admission after prior archival of version 0.3.6 dated 2026-03-10

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Package GeoTox updated to version 1.0.0 with previous version 0.3.0 dated 2026-01-16

Title: Spatiotemporal Mixture Risk Assessment
Description: Connecting spatiotemporal exposure to individual and population-level risk via source-to-outcome continuum modeling. The package, methods, and case-studies are described in Messier, Reif, and Marvel (2025) <doi:10.1186/s40246-024-00711-8> and Eccles et al. (2023) <doi:10.1016/j.scitotenv.2022.158905>.
Author: Skylar Marvel [aut, cre] , David Reif [aut] , Kyle Messier [aut] , Spatiotemporal Exposures and Toxicology Group [cph]
Maintainer: Skylar Marvel <skylar.marvel@nih.gov>

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Package DeductiveR updated to version 2.0.0 with previous version 1.1.0 dated 2024-12-17

Title: Deductive Rational Method
Description: Apply the Deductive Rational Method to a monthly series of flow or precipitation data to fill in missing data. The method is as described in: Campos, D.F., (1984, ISBN:9686194444).
Author: Alonso Arriagada [aut, cre]
Maintainer: Alonso Arriagada <alonso.arriagada@usach.cl>

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Package eAnalytics updated to version 0.4 with previous version 0.3.1 dated 2024-09-12

Title: Dynamic Web-Based Analytics for the Energy Industry
Description: A 'Shiny' web application for energy industry analytics. Take an overview of the industry, measure Key Performance Indicators, identify changes in the industry over time, and discover new relationships in the data.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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