Fri, 19 Jun 2026

Package whisper updated to version 0.4.0 with previous version 0.3.0 dated 2026-03-13

Title: Native R 'torch' Implementation of 'OpenAI' 'Whisper'
Description: Speech-to-text transcription using a native R 'torch' implementation of 'OpenAI' 'Whisper' model <https://github.com/openai/whisper>. Supports multiple model sizes from tiny (39M parameters) to large-v3 (1.5B parameters) with integrated download from 'HuggingFace' <https://huggingface.co/> via the 'hfhub' package. Provides automatic speech recognition with optional language detection and translation to English. Audio preprocessing, mel spectrogram computation, and transformer-based encoder-decoder inference are all implemented in R using the 'torch' package.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], OpenAI [cph] )
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package RMediation updated to version 1.5.0 with previous version 1.3.0 dated 2025-11-20

Title: Mediation Analysis Confidence Intervals
Description: Computes confidence intervals for nonlinear functions of model parameters (e.g., product of k coefficients) in single-level and multilevel structural equation models. Methods include the distribution of the product, Monte Carlo simulation, and bootstrap methods. It also performs the Model-Based Constrained Optimization (MBCO) procedure for hypothesis testing of indirect effects. References: Tofighi, D., and MacKinnon, D. P. (2011). RMediation: An R package for mediation analysis confidence intervals. Behavior Research Methods, 43, 692-700. <doi:10.3758/s13428-011-0076-x>; Tofighi, D., and Kelley, K. (2020). Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure. Psychological Methods, 25(4), 496-515. <doi:10.1037/met0000259>; Tofighi, D. (2020). Bootstrap Model-Based Constrained Optimization Tests of Indirect Effects. Frontiers in Psychology, 10, 2989. <doi:10.3389/fpsyg.2019.02989>.
Author: Davood Tofighi [aut, cre]
Maintainer: Davood Tofighi <dtofighi@gmail.com>

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Package autoReg updated to version 0.3.5 with previous version 0.3.3 dated 2023-11-14

Title: Automatic Linear and Logistic Regression and Survival Analysis
Description: Make summary tables for descriptive statistics and select explanatory variables automatically in various regression models. Support linear models, generalized linear models and cox-proportional hazard models. Generate publication-ready tables summarizing result of regression analysis and plots. The tables and plots can be exported in "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package scmSpillover updated to version 0.1.2 with previous version 0.1.1 dated 2026-01-09

Title: Synthetic Control Method with Spillover Effects
Description: A general-purpose implementation of synthetic control methods that accounts for potential spillover effects between units. Based on the methodology of Cao and Dowd (2019).
Author: Jianfei Cao [aut], Zhanchao Fu [cre]
Maintainer: Zhanchao Fu <fuzhanchao2001@gmail.com>

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Package condathis updated to version 0.1.4 with previous version 0.1.3 dated 2025-11-08

Title: Run Any CLI Tool on a 'Conda' Environment
Description: Simplifies the execution of command line interface (CLI) tools within isolated and reproducible environments. It enables users to effortlessly manage 'Conda' environments, execute command line tools, handle dependencies, and ensure reproducibility in their data analysis workflows.
Author: Lucio Queiroz [aut, cre, cph] , Claudio Zanettini [aut, ctb]
Maintainer: Lucio Queiroz <luciorqueiroz@gmail.com>

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Package earthdatalogin updated to version 0.0.5 with previous version 0.0.4 dated 2026-06-12

Title: NASA 'EarthData' Access Utilities
Description: Providing easy, portable access to NASA 'EarthData' products through the use of bearer tokens. Much of NASA's public data catalogs hosted and maintained by its 12 Distributed Active Archive Centers ('DAACs') are now made available on the Amazon Web Services 'S3' storage. However, accessing this data through the standard 'S3' API is restricted to only to compute resources running inside 'us-west-2' Data Center in Portland, Oregon, which allows NASA to avoid being charged data egress rates. This package provides public access to the data from any networked device by using the 'EarthData' login application programming interface (API), <https://www.earthdata.nasa.gov/data/earthdata-login>, providing convenient authentication and access to cloud-hosted NASA 'EarthData' products. This makes access to a wide range of earth observation data from any location straight forward and compatible with R packages that are widely used with cloud native earth observation data (such as 'terra', 's [...truncated...]
Author: Carl Boettiger [aut, cre, cph] , Luis Lopez [aut] , Yuvi Panda [aut], Bri Lind [aut] , Andy Teucher [ctb] , Openscapes [fnd]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package treesitter.r updated to version 1.3.0 with previous version 1.2.0 dated 2025-06-05

Title: 'R' Grammar for 'Tree-Sitter'
Description: Provides bindings to an 'R' grammar for 'Tree-sitter', to be used alongside the 'treesitter' package. 'Tree-sitter' builds concrete syntax trees for source files of any language, and can efficiently update those syntax trees as the source file is edited.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd], Tree-sitter authors [cph]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between treesitter.r versions 1.2.0 dated 2025-06-05 and 1.3.0 dated 2026-06-19

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Package stt.api updated to version 0.3.0 with previous version 0.2.1 dated 2026-04-01

Title: 'OpenAI' Compatible Speech-to-Text API Client
Description: A minimal-dependency R client for 'OpenAI'-compatible speech-to-text APIs (see <https://platform.openai.com/docs/api-reference/audio>) with optional local fallbacks. Supports 'OpenAI', local servers, and the 'whisper' package for local transcription.
Author: Troy Hernandez [aut, cre] , Cornball AI [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package rstudiothemes updated to version 1.1.2 with previous version 1.1.1 dated 2026-05-11

Title: Create and Install Custom 'RStudio' Themes
Description: Create, convert and install custom 'RStudio' editor themes from 'Visual Studio Code', 'Positron' and 'TextMate' theme files. Convert themes between 'TextMate', 'Visual Studio Code' and 'Positron' formats and install bundled ports of popular themes for use in 'RStudio'.
Author: Diego Hernangomez [aut, cre, cph] , Garrick Aden-Buie [cph] function)
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package craftgrn updated to version 0.1.7 with previous version 0.1.6 dated 2026-06-18

Title: Integrative Chromatin Accessibility and RNA Framework for Gene Regulatory Networks
Description: Provides a reproducible framework for constructing and comparing gene regulatory networks by integrating chromatin accessibility footprint scores with matched RNA expression data. It implements context-specific enhancer-gene linking, transcription factor focused network analysis, differential network analysis, and regulatory topic modeling workflows for systematic exploration of gene regulation across conditions. Methodological background is described in Bentsen and others (2020) <doi:10.1038/s41467-020-18035-1>, Blei, Ng and Jordan (2003) <https://www.jmlr.org/papers/v3/blei03a.html>, and Chen, Li, Zhu and Chen (2015) <doi:10.48550/arXiv.1510.08628>.
Author: Yaoxiang Li [aut, cre], Chunling Yi [aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

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Package blogdown updated to version 1.24 with previous version 1.23 dated 2026-01-17

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Alison Presmanes Hill [aut] , Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb] [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package bean updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-08

Title: Data Thinning of Species Occurrences in Environmental Space
Description: A suite of tools to mitigate sampling bias in species occurrence records by thinning data in the environmental space (E-space). This process can improve the accuracy and precision of species distribution models (SDM, also known as ecological niche models, ENM). The package offers a data-driven protocol to determine thinning parameters using kernel-density bandwidth selection. Two thinning methods are provided (stochastic and deterministic) to reduce over-sampled environmental conditions and down-weight outlier observations. The name 'bean' reflects the core principle of the method: each 'pod' (a grid cell in E-space) is allowed to contain only a limited number of 'beans' (occurrence points). See Silverman (1986, ISBN:978-0-412-24620-3) and Rousseeuw and Leroy (2003, ISBN:978-0-471-48855-2) for the underlying statistical methods.
Author: Paanwaris Paansri [cre, aut] , Luis E. Escobar [aut, ctb]
Maintainer: Paanwaris Paansri <paanwaris@vt.edu>

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Package metasnf updated to version 2.3.0 with previous version 2.1.2 dated 2025-04-28

Title: Meta Clustering with Similarity Network Fusion
Description: Framework to facilitate patient subtyping with similarity network fusion and meta clustering. The similarity network fusion (SNF) algorithm was introduced by Wang et al. (2014) in <doi:10.1038/nmeth.2810>. SNF is a data integration approach that can transform high-dimensional and diverse data types into a single similarity network suitable for clustering with minimal loss of information from each initial data source. The meta clustering approach was introduced by Caruana et al. (2006) in <doi:10.1109/ICDM.2006.103>. Meta clustering involves generating a wide range of cluster solutions by adjusting clustering hyperparameters, then clustering the solutions themselves into a manageable number of qualitatively similar solutions, and finally characterizing representative solutions to find ones that are best for the user's specific context. This package provides a framework to easily transform multi-modal data into a wide range of similarity network fusion-derived cluster solutio [...truncated...]
Author: Prashanth S Velayudhan [aut, cre], Xiaoqiao Xu [aut], Prajkta Kallurkar [aut], Ana Patricia Balbon [aut], Maria T Secara [aut], Adam Taback [aut], Denise Sabac [aut], Nicholas Chan [aut], Shihao Ma [aut], Bo Wang [aut], Daniel Felsky [aut], Stephanie [...truncated...]
Maintainer: Prashanth S Velayudhan <psvelayu@gmail.com>

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Package crossnma updated to version 1.3.1 with previous version 1.3.0 dated 2024-11-28

Title: Cross-Design & Cross-Format Network Meta-Analysis and Regression
Description: Network meta-analysis and meta-regression (allows including up to three covariates) for individual participant data, aggregate data, and mixtures of both formats using the three-level hierarchical model. Each format can come from randomized controlled trials or non-randomized studies or mixtures of both. Estimates are generated in a Bayesian framework using JAGS. The implemented models are described by Hamza et al. 2023 <DOI:10.1002/jrsm.1619>.
Author: Tasnim Hamza [aut] , Guido Schwarzer [aut, cre] , Georgia Salanti [aut]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package rLifting updated to version 1.0.0 with previous version 0.9.0 dated 2026-02-20

Title: High-Performance Wavelet Lifting Transforms
Description: Performs Wavelet Lifting Transforms focusing on signal denoising and functional data analysis (FDA). Implements a hybrid architecture with a zero-allocation 'C++' core for high-performance processing. Features include unified offline (batch) denoising, causal (real-time) filtering using a ring buffer engine, and adaptive recursive thresholding.
Author: Moises da Silva [aut, cre]
Maintainer: Moises da Silva <moisesdff8@gmail.com>

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Package bdlnm updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-18

Title: Bayesian Distributed Lag Non-Linear Models (B-DLNM)
Description: A Bayesian framework for estimating distributed lag linear and non-linear models. Model fitting is implemented using Integrated Nested Laplace Approximation (R package 'INLA'), together with prediction and visualization of exposure-lag-response associations. Additional functions allow estimation of optimal exposure values (e.g., minimum mortality temperature) and computation of attributable fractions and numbers. Models with 'crossbasis' or 'onebasis' terms are supported (R package 'dlnm').
Author: Pau Satorra [aut, cre] , Marcos Quijal-Zamorano [aut], Joan Ballester [aut], Cristian Tebe [ctb], Miguel A. Martinez-Beneito [aut, ths], Marc Mari-Dell'Olmo [aut, ths]
Maintainer: Pau Satorra <psatorra@igtp.cat>

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Package surveyPrev updated to version 2.0.0 with previous version 1.0.0 dated 2024-04-10

Title: Mapping the Prevalence of Binary Indicators using Survey Data in Small Areas
Description: Provides a pipeline to perform small area estimation and prevalence mapping of binary indicators using health and demographic survey data, described in Dong et al. (2026) <doi:10.1093/jssam/smaf048>, Wakefield et al. (2025) <doi:10.48550/arXiv.2110.09576> and Wakefield et al. (2020) <doi:10.1111/insr.12400>.
Author: Qianyu Dong [cre, aut], Zehang R Li [aut], Yunhan Wu [aut], Jieyi Xu [aut], Andrea Boskovic [aut], Jon Wakefield [aut]
Maintainer: Qianyu Dong <qdong14@ucsc.edu>

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New package rolleigen with initial version 1.0.0
Package: rolleigen
Title: Rolling Eigenanalysis
Version: 1.0.0
Description: Fast and efficient computation of rolling and expanding eigenanalysis for time-series data. The 'rolleigen' package decomposes the covariance matrix of the explanatory variables into eigenvalues and eigenvectors to perform principal component analysis (Pearson, 1901, <doi:10.1080/14786440109462720>; Hotelling, 1933, <doi:10.1037/h0071325>) and principal component regression (Massy, 1965, <doi:10.1080/01621459.1965.10480787>) over rolling and expanding windows. For each window, the eigenvalues and eigenvectors are computed from the covariance matrix and, optionally, ordered from largest to smallest to summarize the directions of greatest variation in the data. A subset of leading components is then used to fit a regression that mitigates collinearity in the explanatory variables. Use cases include dimensionality reduction, factor extraction, and regression on collinear explanatory variables. The package supports rolling and expanding windows, weights, and handling of m [...truncated...]
License: GPL (>= 2)
URL: https://github.com/jasonjfoster/rolleigen
BugReports: https://github.com/jasonjfoster/rolleigen/issues
Depends: R (>= 3.5.0)
Imports: Rcpp, RcppParallel
Suggests: covr, pls, roll, testthat, zoo
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, roll (>= 1.1.7)
Encoding: UTF-8
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2026-06-13 18:07:31 UTC; jason
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-19 16:10:02 UTC

More information about rolleigen at CRAN
Permanent link

Package Rcmdr updated to version 2.13.0 with previous version 2.12.3 dated 2026-05-03

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut], Milan Bouchet-Valat [aut], Manuel Munoz-Marquez [aut, cre], Liviu Andronic [ctb], Michael Ash [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Vilmantas Gegzna [ctb], Philippe Grosjean [ctb], Richard Heiberger [ct [...truncated...]
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

Diff between Rcmdr versions 2.12.3 dated 2026-05-03 and 2.13.0 dated 2026-06-19

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Permanent link

New package predmicror with initial version 1.3.2
Package: predmicror
Title: Fitting Predictive Microbiology Models
Version: 1.3.2
Date: 2026-06-05
Description: Provides predictive microbiology model functions and convenience wrappers for fitting primary growth, microbial inactivation, dynamic, omnibus, and cardinal parameter models to experimental data using nonlinear least squares and related mixed-effects or time-varying workflows. Includes helper functions for extracting fitted values, calculating model diagnostics, and comparing fitted models. Implemented model families include those described by: Zwietering et al. (1990) <doi:10.1128/AEM.56.6.1875-1881.1990>, Baranyi and Roberts (1994) <doi:10.1016/0168-1605(94)90157-0>, Baranyi and Roberts (1995) <doi:10.1016/0168-1605(94)00121-L>, Buchanan et al. (1997) <doi:10.1006/fmic.1997.0125>, Richards (1959) <doi:10.1093/jxb/10.2.290>, Fang et al. (2012) <doi:10.1111/j.1750-3841.2012.02873.x>, Fang et al. (2013) <doi:10.1016/j.fm.2012.12.005>, Huang (2008) <doi:10.1111/j.1750-3841.2008.00785.x>, Huang (2009) <doi:10.1016/j.jfoodeng.2008.07.011&g [...truncated...]
Depends: R (>= 3.4.0)
Imports: graphics, gslnls, nlme, Rdpack, stats, utils
License: GPL (>= 3)
LazyLoad: yes
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Suggests: knitr, rmarkdown, htmltools, commonmark, shinyAce, testthat (>= 3.0.0), ggplot2, deSolve, FME, minpack.lm, reshape2, readxl, shiny
VignetteBuilder: knitr
URL: https://fsqanalytics.github.io/predmicror/, https://github.com/fsqanalytics/predmicror
BugReports: https://github.com/fsqanalytics/predmicror/issues
Packaged: 2026-06-13 22:58:17 UTC; vcadavez
Author: Vasco Cadavez [aut, cre] , Ursula Gonzales-Barron [aut]
Maintainer: Vasco Cadavez <vcadavez@ipb.pt>
Repository: CRAN
Date/Publication: 2026-06-19 16:30:02 UTC

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New package ppmSDR with initial version 2.0.0
Package: ppmSDR
Title: Penalized Principal Machine for Sufficient Dimension Reduction
Version: 2.0.0
Author: Jungmin Shin [aut, cre] , Seung Jun Shin [aut]
Maintainer: Jungmin Shin <c16267@gmail.com>
Description: A unified, computation-friendly framework for penalized principal machines (P2M), a class of sparse sufficient dimension reduction (SDR) estimators for regression and binary classification. Principal machines (PM) estimate the central subspace by solving a family of convex-loss problems over several cutoffs; their penalized counterparts (P2M) add a row-group sparsity penalty so that dimension reduction and variable selection are performed simultaneously. All estimators are fitted by a single group coordinate descent (GCD) algorithm that accommodates least squares, logistic, asymmetric least squares, L2-hinge, hinge (support vector machine, SVM) and quantile losses, together with the least absolute shrinkage and selection operator (LASSO), the smoothly clipped absolute deviation (SCAD) penalty and the minimax concave penalty (MCP). Methods are described in Li, Artemiou and Li (2011) <doi:10.1214/11-AOS932>, Shin and Artemiou (2017) <doi:10.1016/j.csda.2016.12.003>, Artemiou, [...truncated...]
Depends: R (>= 4.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, Matrix, grpreg, energy
Suggests: MASS, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/c16267/ppmSDR
BugReports: https://github.com/c16267/ppmSDR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-13 23:05:11 UTC; shin.991
Repository: CRAN
Date/Publication: 2026-06-19 16:30:10 UTC

More information about ppmSDR at CRAN
Permanent link

Package CAST updated to version 1.1.0 with previous version 1.0.4 dated 2026-01-26

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; L [...truncated...]
Author: Hanna Meyer [cre, aut], Carles Mila [aut], Marvin Ludwig [aut], Jan Linnenbrink [aut], Fabian Schumacher [aut], Philipp Otto [ctb], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Jakub Nowosad [ctb], Darius Goergen [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

Diff between CAST versions 1.0.4 dated 2026-01-26 and 1.1.0 dated 2026-06-19

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Package ztable updated to version 0.2.5 with previous version 0.2.3 dated 2021-09-28

Title: Zebra-Striped Tables in LaTeX and HTML Formats
Description: Makes zebra-striped tables (tables with alternating row colors) in LaTeX and HTML formats easily from a data.frame, matrix, lm, aov, anova, glm, coxph, nls, fitdistr, mytable and cbind.mytable objects.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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More information about ztable at CRAN
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Package terra updated to version 1.9-34 with previous version 1.9-27 dated 2026-05-10

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] , Andrew Brown [aut] , Marcia Barbosa [aut] , Krzysztof Dyba [ctb] , Roger Bivand [ctb] , Michael Chirico [ctb] , Emanuele Cordano [ctb] , Edzer Pebesma [ctb] , Barry Rowlingson [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.9-27 dated 2026-05-10 and 1.9-34 dated 2026-06-19

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 terra-1.9-34/terra/src/write_gdal.cpp                  |    5 
 87 files changed, 2390 insertions(+), 752 deletions(-)

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New package rurl with initial version 1.2.0
Package: rurl
Title: Parse, Clean, and Normalize URLs
Version: 1.2.0
Language: en-US
Description: A lightweight toolkit for extracting structured information from URLs. Includes functions for parsing, normalizing protocols, extracting domains, and constructing clean URLs. The package includes a processed copy of the Public Suffix List from <https://publicsuffix.org> for domain extraction.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: utils, curl, stringi, punycoder (>= 1.0.0)
URL: https://github.com/bart-turczynski/rurl
BugReports: https://github.com/bart-turczynski/rurl/issues
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, withr
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-13 10:02:53 UTC; bartturczynski
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek+rurl@turczynski.pl>
Repository: CRAN
Date/Publication: 2026-06-19 15:50:02 UTC

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New package pavdata with initial version 0.1.0
Package: pavdata
Title: Transportation Infrastructure Data Toolbox
Version: 0.1.0
Author: Vilmar Faustino do Nascimento [aut, cre], Carlos David Rodrigues Melo [aut], Nelson de Oliveira Quesado Filho [aut], Jorge Barbosa Soares [con]
Maintainer: Vilmar Faustino do Nascimento <vilmarfaustinok@gmail.com>
Description: An open-source toolbox for storing, validating, managing, and exploring transportation infrastructure data. Provides a relational data model for binders, aggregates, mixtures, and test results, with a human-readable file format (.pavdata) aligned with FAIR principles.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: jsonlite, uuid, graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-13 17:31:51 UTC; nelsonquesado
Repository: CRAN
Date/Publication: 2026-06-19 16:00:02 UTC

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New package OrdinalCompositions with initial version 0.1.0
Package: OrdinalCompositions
Title: Wasserstein-Based Regression for Ordinal Compositional Data
Version: 0.1.0
Date: 2026-06-05
Maintainer: Nicola Piras <nicola.piras97@unica.it>
Description: Tools analyzing regression models for ordinal compositional data using Wasserstein-based distances. The package includes linear programming solvers under simplex constraints, tensor product constructions and performance metrics.
Depends: R (>= 3.5.0)
Imports: lpSolveAPI, stats, extraDistr
Suggests: codalm, knitr, rmarkdown
License: GPL-2
NeedsCompilation: no
Packaged: 2026-06-13 09:40:49 UTC; nicol
Author: Nicola Piras [aut, cre], Monica Musio [aut], Beniamino Cappelletti-Montano [aut]
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Repository: CRAN
Date/Publication: 2026-06-19 15:50:18 UTC

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New package mx.client with initial version 0.1.1
Package: mx.client
Title: Stateful Matrix Client Helpers
Version: 0.1.1
Date: 2026-06-13
Description: Stateful helpers for building 'Matrix' (<https://matrix.org>) chat clients in R. Builds on the low-level 'mx.api' Client-Server API bindings, adding local configuration persistence, room resolution, sync cursor handling, sync-event extraction, invite acceptance, a conservative Markdown-to-HTML converter for formatted messages, and 'Olm'/'Megolm' end-to-end encryption orchestration over the optional 'mx.crypto' package.
License: Apache License (>= 2)
URL: https://github.com/cornball-ai/mx.client
BugReports: https://github.com/cornball-ai/mx.client/issues
Depends: R (>= 4.0)
Imports: jsonlite, mx.api (>= 0.3.0), stats, tools, utils
Suggests: mx.crypto, simplermarkdown, tinytest
VignetteBuilder: simplermarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-13 13:38:32 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-06-19 15:50:07 UTC

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Package hyper.gam updated to version 0.3.2 with previous version 0.3.1 dated 2026-06-13

Title: Generalized Additive Models with Hyper Column
Description: An interactive HTML widget of the perspective plot for generalized additive models. An alternative solution of the function mgcv::vis.gam(). This R package author has retired from academic research. Accordingly, this package should not be considered a validated tool for use in peer-reviewed publications or as the basis for grant applications. Backward compatibility with user-code published in <doi:10.1093/bioinformatics/btaf182> and <doi:10.1093/bioinformatics/btaf430> is not maintained in versions >= 0.3.0 of this package. The authors of those publications are the appropriate contacts for reproducibility inquiries.
Author: Tingting Zhan [aut, cre] , Erjia Cui [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between hyper.gam versions 0.3.1 dated 2026-06-13 and 0.3.2 dated 2026-06-19

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Package APML0 readmission to version 0.11 with previous version 0.10 dated 2020-01-19

Title: Augmented and Penalized Minimization Method L0
Description: Fit linear, logistic and Cox models regularized with L0, lasso (L1), elastic-net (L1 and L2), or net (L1 and Laplacian) penalty, and their adaptive forms, such as adaptive lasso / elastic-net and net adjusting for signs of linked coefficients. It solves the L0 penalty problem by simultaneously selecting regularization parameters and performing hard-thresholding or selecting the number of non-zeros. This augmented and penalized minimization method provides an approximation solution to the L0 penalty problem, but runs as fast as L1 regularization. The package uses a one-step coordinate descent algorithm and runs extremely fast by taking into account the sparsity structure of coefficients. It can handle very high dimensional data and has superior selection performance.
Author: Xiang Li [aut, cre], Shanghong Xie [aut], Donglin Zeng [aut], Yuanjia Wang [aut]
Maintainer: Xiang Li <spiritcoke@gmail.com>

This is a re-admission after prior archival of version 0.10 dated 2020-01-19

Diff between APML0 versions 0.10 dated 2020-01-19 and 0.11 dated 2026-06-19

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Package UKFE updated to version 2.0.2 with previous version 2.0.1 dated 2026-05-01

Title: UK Flood Estimation
Description: Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 14. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood estimation" , Hammond (2021, <doi:10.2166/nh.2021.059>). "The FEH 2025 statistical method update", UK Centre for Ecology and Hydrology (2025). "Low flow es [...truncated...]
Author: Anthony Hammond [aut, cre]
Maintainer: Anthony Hammond <agqhammond@gmail.com>

Diff between UKFE versions 2.0.1 dated 2026-05-01 and 2.0.2 dated 2026-06-19

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New package Time.R with initial version 1.0.0
Package: Time.R
Title: Estimates Time of Concentration and Lag Time for Watersheds
Version: 1.0.0
Date: 2026-05-27
Description: Estimation of time of concentration and lag times for watersheds based on their morphometric characteristics. It includes various methods for calculation and offers plotting functionalities for comparative analysis. For more details see Bransby-Williams (1922, ISSN 2214-5818), Kirpich (1940) <https://hess.copernicus.org/articles/24/2655/2020/>, Kerby (1959, ISBN-13, 979-8355357214), Johnstone & Cross (1949, ISBN:9780823211234), California Division of Highways (1942, ISSN:0012-7353), Clark (1945) <doi:10.1061/TACEAT.0005800>, Giandotti (1934) <doi:10.1080/02626667.2017.1384549>, Passini (1972, ISBN:84-7433-040-8), Témez (1978, ISBN:84-7433-040-8), Pérez (1962, ISSN:0012-7353), Pilgrim (1977) <doi:10.1029/WR013i003p00587>, Bureau of Reclamation (1973, ISBN:9780913232123), Valencia-Zuluaga (1983) <https://repositorio.unal.edu.co/>, Ventura & Heras (1964) <doi:10.1061/9780784413548.005>, Soil Conservation Service (1972, ISBN:OL15009517M), Soil Co [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, readxl, utils
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-06-13 03:57:17 UTC; alobo
Author: Alonso Arriagada [aut, cre]
Maintainer: Alonso Arriagada <alonso.arriagada@usach.cl>
Repository: CRAN
Date/Publication: 2026-06-19 14:50:02 UTC

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Package rrtable updated to version 0.3.4 with previous version 0.3.0 dated 2022-04-04

Title: Reproducible Research with a Table of R Codes
Description: Makes documents containing plots and tables from a table of R codes. Can make "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents with or without R code. In the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

Diff between rrtable versions 0.3.0 dated 2022-04-04 and 0.3.4 dated 2026-06-19

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Package pedtools updated to version 2.11.0 with previous version 2.10.0 dated 2026-02-01

Title: Creating and Working with Pedigrees and Marker Data
Description: A comprehensive collection of tools for creating, manipulating and visualising pedigrees and genetic marker data. Pedigrees can be read from text files or created on the fly with built-in functions. A range of utilities enable modifications like adding or removing individuals, breaking loops, and merging pedigrees. An online tool for creating pedigrees interactively, based on 'pedtools', is available at <https://magnusdv.shinyapps.io/quickped>. 'pedtools' is the hub of the 'pedsuite', a collection of packages for pedigree analysis. A detailed presentation of the 'pedsuite' is given in the book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between pedtools versions 2.10.0 dated 2026-02-01 and 2.11.0 dated 2026-06-19

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New package simplexgof with initial version 0.1.0
Package: simplexgof
Title: Bootstrap-Calibrated Goodness-of-Fit Test for Simplex Regression
Version: 0.1.0
Date: 2026-06-12
Description: Implements the bootstrap-calibrated local-influence goodness-of-fit test for simplex regression models with constant or varying dispersion, following the local influence approach of Zhu and Zhang (2004) <doi:10.1093/biomet/91.3.579> and the simplex regression model of Barndorff-Nielsen and Jorgensen (1991) <doi:10.1016/0047-259X(91)90008-P>. The test statistic aggregates individual local-influence measures under case-weight perturbation. Because the first-order asymptotic normal calibration is severely liberal in finite samples, a parametric bootstrap calibration is provided that restores accurate size control and delivers high power against omitted covariates, neglected dispersion, and distributional misspecification. Plotting functions reproduce the figures and tables of the companion methodological paper. Computational kernels are implemented in 'C++' via 'Rcpp' and 'RcppArmadillo' for speed, and two real datasets are bundled.
License: GPL-3
URL: https://github.com/Raydonal/simplexgof, https://raydonal.github.io/simplexgof/
BugReports: https://github.com/Raydonal/simplexgof/issues
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), parallel, stats, graphics, grDevices
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-06-12 23:51:40 UTC; raydonal
Author: Raydonal Ospina [aut, cre]
Maintainer: Raydonal Ospina <raydonal@de.ufpe.br>
Repository: CRAN
Date/Publication: 2026-06-19 12:20:02 UTC

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New package rotio with initial version 0.1.0
Package: rotio
Title: Pure-R 'OpenTimelineIO' Document Model
Version: 0.1.0
Date: 2026-06-12
Description: A dependency-light 'OpenTimelineIO' (OTIO) <https://github.com/AcademySoftwareFoundation/OpenTimelineIO> document layer in pure R. Provides constructors for the OTIO object model (timelines, tracks, clips, gaps, media references, rational times and time ranges), functional builders that return new objects, and readers and writers for canonical '.otio' files through 'jsonlite'. The optional 'RcppOTIO' package validates output against the real 'OpenTimelineIO' C++ library. No compiled code.
License: Apache License (== 2.0)
URL: https://github.com/cornball-ai/rotio
BugReports: https://github.com/cornball-ai/rotio/issues
Depends: R (>= 4.4.0)
Imports: jsonlite
Additional_repositories: https://cornball-ai.github.io/drat
Suggests: tinytest, RcppOTIO
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-12 22:52:19 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-06-19 12:20:09 UTC

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New package respondeR with initial version 0.1.0
Package: respondeR
Title: Imputing Responder Proportions from Continuous Outcomes
Version: 0.1.0
Description: Express meta-analyses of continuous trial outcomes in terms of responder risks, following the interpretability tutorial of Thorlund, Walter, Johnston, Furukawa and Guyatt (2011) <doi:10.1002/jrsm.46>. Given the mean change, standard deviation and sample size per arm across studies, respondeR estimates the proportion of patients who cross a minimal important difference (MID) threshold under a parametric model for the change scores, and contrasts the arms as a risk difference, risk ratio, odds ratio or number needed to treat. It provides median, unweighted-mean, weighted-mean and per-study (fixed- or random-effects) pooling, the standardized-mean-difference to odds-ratio bridge of Anzures-Cabrera, Sarpatwari and Higgins (2011) <doi:10.1002/sim.4298>, a threshold-free common-language effect size, and a point-and-click 'Shiny' application. The estimation methods were evaluated in a simulation study by Sofi-Mahmudi (2024) <https://hdl.handle.net/11375/30210>.
License: GPL-3
URL: https://github.com/choxos/respondeR, https://choxos.github.io/respondeR/
BugReports: https://github.com/choxos/respondeR/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: stats
Suggests: shiny, shinydashboard, DT, testthat (>= 3.0.0), metafor, knitr, rmarkdown
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-12 18:42:12 UTC; choxos
Author: Ahmad Sofi-Mahmudi [aut, cre]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-19 12:10:02 UTC

More information about respondeR at CRAN
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Package qtlcharts updated to version 0.22 with previous version 0.20 dated 2026-05-23

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>

Diff between qtlcharts versions 0.20 dated 2026-05-23 and 0.22 dated 2026-06-19

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More information about qtlcharts at CRAN
Permanent link

Package ecospat updated to version 4.1.4 with previous version 4.1.3 dated 2026-01-23

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

Diff between ecospat versions 4.1.3 dated 2026-01-23 and 4.1.4 dated 2026-06-19

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Permanent link

New package DPComb with initial version 1.0
Package: DPComb
Title: Discrete p-Value Combination Tests
Version: 1.0
Depends: R (>= 3.5.0)
Description: Provides tools for performing p-value combination tests with discrete input p-values. These tests combine significance evidence derived from independent discrete statistics to test a global null hypothesis, which is defined by the specified null distribution(s) of these discrete statistics. The testing procedure involves two main steps: (1) Wasserstein Adjustment: Each component of the combination statistic is replaced by an adjusted Z statistic. This adjustment, based on the minimum Wasserstein distance, preserves the discrete nature of the original statistics while better aligning them with their counterparts under continuity. (2) Calculation of the Significance of the Combination Statistic: A continuous distribution that optimally matches the discrete distribution of the combination statistic is obtained, and the testing p-value for the global null hypothesis is computed. The first step is analogous to Lancaster's approach but is generalized based on Wasserstein optimization. The se [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MCMCpack
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-12 15:46:00 UTC; zheyangwu
Author: Gonzalo Contador [aut, cre], Shuaichuan Feng [aut], Zheyang Wu [aut]
Maintainer: Gonzalo Contador <gonzalo.contador@usm.cl>
Repository: CRAN
Date/Publication: 2026-06-19 12:10:17 UTC

More information about DPComb at CRAN
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New package daoh with initial version 0.1.0
Package: daoh
Title: Days Alive and Out of Hospital (DAOH) Calculation
Version: 0.1.0
Description: Calculates Days Alive and Out of Hospital (DAOH) from administrative admission/discharge/mortality data using three algorithms (nights, days, exact) and three death-handling approaches (midday, midnight, zero). Includes tools for comparing methods (Bland-Altman, ICC, reclassification), and plotting.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2 (>= 3.4.0), scales
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, irr
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/davecumin/daoh
BugReports: https://github.com/davecumin/daoh/issues
NeedsCompilation: no
Packaged: 2026-06-12 19:44:10 UTC; dcum007
Author: David Cumin [aut, cre]
Maintainer: David Cumin <d.cumin@auckland.ac.nz>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-06-19 12:20:24 UTC

More information about daoh at CRAN
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New package VCMoE with initial version 0.1.0
Package: VCMoE
Title: Varying-Coefficient Mixture-of-Experts Models
Version: 0.1.0
Description: Fits Gaussian, Binomial, and Negative-Binomial varying-coefficient mixture-of-experts models with local-linear estimation, explicit label alignment, bandwidth selection, diagnostics, bootstrap inference, analytic-style confidence bands, and coefficient-specific analytic GLRT diagnostics with optional bootstrap calibration.
License: MIT + file LICENSE
URL: https://qc-zhao.github.io/VCMoE/, https://github.com/qc-zhao/VCMoE
BugReports: https://github.com/qc-zhao/VCMoE/issues
Encoding: UTF-8
Imports: ggplot2, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-12 06:14:21 UTC; qicheng
Author: Qicheng Zhao [aut, cre]
Maintainer: Qicheng Zhao <790471666@qq.com>
Repository: CRAN
Date/Publication: 2026-06-19 11:40:02 UTC

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New package SurvSPro with initial version 0.1.0
Package: SurvSPro
Title: Survival Prediction with Spatially Adjusted Protein Summaries
Version: 0.1.0
Maintainer: Seungjun Ahn <seungjun.ahn@mountsinai.org>
Description: A survival prediction framework using spatially adjusted protein summaries from spatial proteomics data, including imaging mass cytometry data. Cell-level protein intensities are modeled with spatial spline regression to estimate spatially adjusted mean expression and residual variance. Methodological details are described in Ahn et al. (2026) <doi:10.64898/2026.06.08.730964>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: dplyr, mgcv, survival, sp
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-11 23:54:25 UTC; seungjunahn
Author: Seungjun Ahn [cre, aut] , Eun Jeong Oh [aut] , Diddier Prada [ctb], Ali Shojaie [ctb]
Repository: CRAN
Date/Publication: 2026-06-19 11:30:07 UTC

More information about SurvSPro at CRAN
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Package prLogistic readmission to version 2.0.2 with previous version 1.2 dated 2013-09-19

Title: Estimation of Prevalence Ratios via Logistic Regression Models
Description: Estimates adjusted prevalence ratios (PR) and their confidence intervals from logistic regression models, addressing the well-known limitation of odds ratios (OR) as approximations to PR in cross-sectional studies with common outcomes. Supports independent observations (glm()), clustered/multilevel data (glmer() from 'lme4'), longitudinal data via Generalised Estimating Equations (geeglm() from 'geepack'), and complex survey designs (svyglm() from 'survey'). Inference is available via the delta method (conditional and marginal standardisation) and via bootstrap (normal-approximation and percentile intervals). Continuous covariates are handled through user-specified or median-based reference values; flexible baseline specification allows any reference category to be chosen for factor predictors. Based on the methodology described in Amorim & Ospina (2021) <doi:10.1590/0001-3765202120190316>.
Author: Raydonal Ospina [aut, cre] , Leila D. Amorim [aut]
Maintainer: Raydonal Ospina <raydonal@de.ufpe.br>

This is a re-admission after prior archival of version 1.2 dated 2013-09-19

Diff between prLogistic versions 1.2 dated 2013-09-19 and 2.0.2 dated 2026-06-19

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New package pointcoral with initial version 0.1.0
Package: pointcoral
Title: Local Point-Count Processing for Coral Photoquadrats
Version: 0.1.0
Description: Imports Coral Point Count with Excel extensions (CPCe) point-count annotations and related exported tables, standardizes labels with a user-supplied crosswalk, creates ecological cover summaries, writes quality-control overlays, and exports machine-learning-ready point labels, image patches, sparse masks, and train/validation/test splits. The package is fully local and does not depend on third-party web platforms, user accounts, or other closed services. CPCe methods are described by Kohler and Gill (2006) "Coral Point Count with Excel extensions (CPCe): A Visual Basic program for the determination of coral and substrate coverage using random point count methodology" <doi:10.1016/j.cageo.2005.11.009>.
License: MIT + file LICENSE
URL: https://github.com/el-cordero/pointcoral
BugReports: https://github.com/el-cordero/pointcoral/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, dplyr, fs, janitor, magick, png, purrr, readr, readxl, rlang, stringr, tibble
Suggests: devtools, glue, knitr, rmarkdown, roxygen2, styler, testthat (>= 3.0.0), tidyr, writexl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-12 10:33:53 UTC; ec
Author: Elvin Cordero [aut, cre]
Maintainer: Elvin Cordero <elvin.cordero@seamountgeo.com>
Repository: CRAN
Date/Publication: 2026-06-19 11:50:02 UTC

More information about pointcoral at CRAN
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New package nirs4alldatasets with initial version 0.2.0
Package: nirs4alldatasets
Title: Acquire Curated NIRS Reference Datasets ('nirs4all-datasets')
Version: 0.2.0
Description: R binding over the 'nirs4all-datasets' C 'ABI' ('n4ds_*'): resolve a dataset id from the distributable catalog index into a version-pinned download contract, fetch the canonical 'Parquet' ('Dataverse' / 'Zenodo' / 'figshare') with SHA-256 verification into a local cache, and re-verify a cached directory offline. JSON crosses the stable C 'ABI'; analysis of the data is left to the host.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: Cargo (Rust toolchain), rustc
Packaged: 2026-06-12 13:41:41 UTC; runner
Author: Gregory Beurier [aut, cre]
Maintainer: Gregory Beurier <gregory.beurier@cirad.fr>
Repository: CRAN
Date/Publication: 2026-06-19 12:00:08 UTC

More information about nirs4alldatasets at CRAN
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New package nhscancerwaits with initial version 1.0.2
Package: nhscancerwaits
Title: NHS Cancer Waiting-Time Analysis, Benchmarking and Multilevel Modelling
Version: 1.0.2
Description: Provides tools for importing, harmonising, cleaning, analysing, benchmarking and visualising National Health Service (NHS) England Cancer Waiting Times data. The package supports national performance monitoring, provider-level benchmarking and cancer pathway comparisons through key performance indicator summaries, provider filtering, clustering analyses, mixed-effects regression models, variance decomposition, intraclass correlation coefficient estimation, adjusted provider performance estimation and sensitivity analyses. Functions are included for exploratory analysis, publication-ready visualisations and spreadsheet exports, supporting reproducible health services research, cancer services evaluation, quality improvement and assessment of waiting-time performance across healthcare organisations. Mixed-effects modelling functionality is based on Bates et al. (2015) <doi:10.18637/jss.v067.i01>. Multilevel modelling concepts and variance decomposition follow Gelman and Hill (2007, [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2.0)
Imports: dplyr, tidyr, readr, readxl, stringr, lubridate, rlang, ggplot2, scales, lme4, broom.mixed, performance, cluster, stats, writexl
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, quarto, covr
VignetteBuilder: knitr
URL: https://github.com/zerish12/nhscancerwaits
BugReports: https://github.com/zerish12/nhscancerwaits/issues
NeedsCompilation: no
Packaged: 2026-06-12 13:55:47 UTC; muhammadzahirkhan
Author: Muhammad Zahir Khan [aut, cre]
Maintainer: Muhammad Zahir Khan <zahirstat007@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-19 12:00:14 UTC

More information about nhscancerwaits at CRAN
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Package mmrm updated to version 0.3.18 with previous version 0.3.17 dated 2026-01-08

Title: Mixed Models for Repeated Measures
Description: Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E> for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso (2008) <doi:10.1177/009286150804200402> for a review. This package implements MMRM based on the marginal linear model without random effects using Template Model Builder ('TMB') which enables fast and robust model fitting. Users can specify a variety of covariance matrices, weight observations, fit models with restricted or standard maximum likelihood inference, perform hypothesis testing with Satterthwaite or Kenward-Roger adjustment, and extract least square means estimates by using 'emmeans'.
Author: Daniel Sabanes Bove [aut, cre] , Liming Li [aut] , Julia Dedic [aut], Doug Kelkhoff [aut], Kevin Kunzmann [aut], Brian Matthew Lang [aut], Christian Stock [aut], Ya Wang [aut], Craig Gower-Page [ctb], Dan James [aut], Jonathan Sidi [aut], Daniel Leib [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

Diff between mmrm versions 0.3.17 dated 2026-01-08 and 0.3.18 dated 2026-06-19

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New package kofn with initial version 0.4.0
Package: kofn
Title: Maximum Likelihood Estimation for k-Out-of-n System Data
Version: 0.4.0
Description: Maximum likelihood estimation of component lifetime parameters from system-level observations of k-out-of-n systems. Supports exponential and Weibull component distributions under multiple observation schemes: Scheme 0 (system lifetime only), Scheme 1 (periodic inspection), and Scheme 2 (complete monitoring). Provides an EM algorithm for Weibull parallel systems and Fisher information comparison across schemes. The k-out-of-n framework unifies series (k=1) and parallel (k=m) systems as a censoring problem on component lifetimes. Conforms to the 'likelihood.model' generics and returns fitted objects compatible with 'algebraic.mle'. The data-generating process and topology infrastructure (system survival, density, signature, structure function, importance measures) are delegated to the 'dist.structure' package; 'kofn' focuses exclusively on inference for the k-out-of-n family.
License: MIT + file LICENSE
URL: https://github.com/queelius/kofn, https://queelius.github.io/kofn/
BugReports: https://github.com/queelius/kofn/issues
Depends: R (>= 4.1.0)
Imports: stats, numDeriv, likelihood.model, compositional.mle, generics, dist.structure, algebraic.dist, flexhaz (>= 0.5.2)
Suggests: algebraic.mle, maskedcauses, testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-11 11:33:51 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-06-19 12:00:29 UTC

More information about kofn at CRAN
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New package impala with initial version 0.1.0
Package: impala
Title: Bayesian Model Calibration
Version: 0.1.0
Description: Package provides tools for modular Bayesian model calibration. these tools allow for posterior exploration with sampling methods including tempering and adaptive Markov Chain Monte Carlo (MCMC). Allows for pooled calibration or hierarchal calibration of parameters. For more information see Francom et al., 2025 <DOI:10.1137/24M1644092>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, methods, progress, einsum,
Suggests: fdasrvf, BASS, BayesPPR, mvBayes, coda, bayesplot, gridExtra, hexbin, knitr, rmarkdown
URL: https://github.com/sandialabs/rImpala
BugReports: https://github.com/sandialabs/rImpala/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-12 14:31:34 UTC; jdtuck
Author: J. Derek Tucker [aut, cre] , Sandia National Laboratories [cph, fnd]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>
Repository: CRAN
Date/Publication: 2026-06-19 12:00:36 UTC

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New package devkit with initial version 1.0.0
Package: devkit
Title: Practical Utilities for Package Development and Session Auditing
Version: 1.0.0
Description: Provides a comprehensive collection of practical R utilities designed to streamline the full life cycle of package development, interactive data analysis, and session management. It offers tools for package management, development workflows, debugging, data processing, and system optimization. These utilities help R developers and data scientists automate release tasks, manage and scan dependencies, audit session states, optimize memory usage, and scramble sensitive Personally Identifiable Information ('PII').
Encoding: UTF-8
License: MIT + file LICENSE
Language: en-US
Depends: R (>= 3.5.0)
Imports: tools
Suggests: testthat, devtools, roxygen2, usethis, knitr, rmarkdown, withr
VignetteBuilder: knitr
URL: https://zankrut20.github.io/devkit/, https://github.com/zankrut20/devkit
BugReports: https://github.com/zankrut20/devkit/issues
NeedsCompilation: no
Packaged: 2026-06-12 03:18:23 UTC; zankrut
Author: Zankrut Goyani [aut, cre, cph]
Maintainer: Zankrut Goyani <zankrut20@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-19 11:30:02 UTC

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Package rampage updated to version 0.2.1 with previous version 0.2.0 dated 2025-07-07

Title: Calibrated Color Ramps
Description: Value-calibrated color ramps can be useful to emphasize patterns in data from complex distributions. Colors can be tied to specific values, and the association can be expanded into full color ramps that also include the relationship between colors and values. Such ramps can be used in a variety of cases when heatmap-type plots are necessary, including the visualization of vector and raster spatial data, such as topographies.
Author: Adam T. Kocsis [cre, aut] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

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

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

2025-09-19 1.1.0
2024-10-23 1.0.1
2024-06-06 1.0.0

Permanent link
Package GRIDCOPULA (with last version 1.1.1) was removed from CRAN

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

2026-05-06 1.1.1
2025-09-13 1.1.0
2024-04-05 1.0.1
2022-09-13 1.0.0

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Package DrugExposureDiagnostics updated to version 1.1.8 with previous version 1.1.7 dated 2026-04-15

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Theresa Burkard [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package ncar readmission to version 0.6.1 with previous version 0.6.0 dated 2026-04-24

Title: Noncompartmental Analysis for Pharmacokinetic Report
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Produce pdf, rtf, text report files. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut, cre], Michael E. Schaffer [ctb, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

This is a re-admission after prior archival of version 0.6.0 dated 2026-04-24

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Package eyeris updated to version 3.2.0 with previous version 3.1.0 dated 2026-06-05

Title: Flexible, Extensible, & Reproducible Pupillometry Preprocessing
Description: Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states [Clewett et al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018) <doi:10.3758/s13428-018-1075-y>; Strauch (2024) <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry research, many established packages and workflows to date lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris' provides a modular, performant, and extensible preprocessing framework for pupillometry data with BIDS-like organization and interactive output reports [Esteban et al. (2019) <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44>]. Development was supported, in part, by the S [...truncated...]
Author: Shawn Schwartz [aut, cre] , Mingjian He [ctb], Haopei Yang [ctb], Alice Xue [ctb], Gustavo Santiago-Reyes [ctb]
Maintainer: Shawn Schwartz <shawn.t.schwartz@gmail.com>

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Package cartographr updated to version 0.2.5 with previous version 0.2.4 dated 2025-09-18

Title: Crafting Print-Ready Maps and Layered Visualizations
Description: Simplifying the creation of print-ready maps, this package offers a user-friendly interface derived from 'ggplot2' for handling OpenStreetMap data. It streamlines the map-making process, allowing users to focus on the story their maps tell. Transforming raw geospatial data into informative visualizations is made easy with simple features 'sf' geometries. Whether for urban planning, environmental studies, or impactful public presentations, this tool facilitates straightforward and effective map creation. Enhance the dissemination of spatial information with high-quality, narrative-driven visualizations!
Author: David Willinger [aut, cre, cph]
Maintainer: David Willinger <david.willinger@gmail.com>

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Package DiscreteGapStatistic (with last version 1.1.2) was removed from CRAN

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

2025-03-05 1.1.2
2024-12-09 1.0.0
2024-10-25 0.1.0

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Package cultevo (with last version 1.0.2) was removed from CRAN

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

2018-04-24 1.0.2

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Package sd2R updated to version 0.2.1 with previous version 0.1.9 dated 2026-04-09

Title: Stable Diffusion Image Generation
Description: Provides Stable Diffusion image generation using the 'ggmlR' library, with no 'Python' or external API dependencies. Supports text-to-image and image-to-image generation for SD 1.x, SD 2.x, 'SDXL', Flux, and 'FLUX.2'. A single sd_generate() function handles the entire pipeline, including sampling and high-resolution output. Features multi-GPU support, a 'Shiny' GUI, and runs on CPU or 'Vulkan' GPU across Linux, macOS, and Windows.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [ctb, cph] , leejet [ctb, cph] , stduhpf [ctb] , Green-Sky [ctb] , wbruna [ctb] , akleine [ctb] , Martin Raiber [cph] , Rich Geldreich [cph] , RAD Game Tools [cph] , Valve Software [cph] , Alex Evans [cph] [...truncated...]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package omock updated to version 0.7.0 with previous version 0.6.2 dated 2026-03-23

Title: Creation of Mock Observational Medical Outcomes Partnership Common Data Model
Description: Creates mock data for testing and package development for the Observational Medical Outcomes Partnership common data model. The package offers functions crafted with pipeline-friendly implementation, enabling users to effortlessly include only the necessary tables for their testing needs.
Author: Mike Du [aut, cre] , Marti Catala [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Mike Du <mike.du@ndorms.ox.ac.uk>

Diff between omock versions 0.6.2 dated 2026-03-23 and 0.7.0 dated 2026-06-19

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Package glyrepr updated to version 0.12.1 with previous version 0.12.0 dated 2026-05-14

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyrepr versions 0.12.0 dated 2026-05-14 and 0.12.1 dated 2026-06-19

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Package duckdb updated to version 1.5.4 with previous version 1.5.2 dated 2026-04-13

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

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Package cancensus updated to version 0.6.1 with previous version 0.6.0 dated 2026-04-14

Title: Access, Retrieve, and Work with Canadian Census Data and Geography
Description: Integrated, convenient, and uniform access to Canadian Census data and geography retrieved using the 'CensusMapper' API. This package produces analysis-ready tidy data frames and spatial data in multiple formats, as well as convenience functions for working with Census variables, variable hierarchies, and region selection. API keys are freely available with free registration at <https://censusmapper.ca/api>. Census data and boundary geometries are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 1996; 2001; 2006; 2011; 2016; 2021).
Author: Jens von Bergmann [aut] , Dmitry Shkolnik [aut, cre] , Aaron Jacobs [aut]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>

Diff between cancensus versions 0.6.0 dated 2026-04-14 and 0.6.1 dated 2026-06-19

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More information about cancensus at CRAN
Permanent link

Package xfun updated to version 0.59 with previous version 0.58 dated 2026-06-01

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xfun versions 0.58 dated 2026-06-01 and 0.59 dated 2026-06-19

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 xfun-0.59/xfun/MD5                             |   43 +++++-----
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 xfun-0.59/xfun/R/command.R                     |   27 +++---
 xfun-0.59/xfun/R/github.R                      |  105 ++++++++++++++++++++++---
 xfun-0.59/xfun/R/httpd.R                       |    4 
 xfun-0.59/xfun/R/json.R                        |    1 
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 xfun-0.59/xfun/tests/test-cran/test-github.R   |only
 xfun-0.59/xfun/tests/test-cran/test-json.R     |   25 +++++
 xfun-0.59/xfun/tests/test-cran/test-markdown.R |    8 +
 xfun-0.59/xfun/tests/test-cran/test-session.R  |only
 xfun-0.59/xfun/tests/test-cran/test-string.R   |   40 +++++++++
 xfun-0.59/xfun/tests/test-cran/test-utils.R    |   42 ++++++++++
 xfun-0.59/xfun/tests/test-cran/test-yaml.R     |   18 ++++
 26 files changed, 357 insertions(+), 78 deletions(-)

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Package withr updated to version 3.0.3 with previous version 3.0.2 dated 2024-10-28

Title: Run Code 'With' Temporarily Modified Global State
Description: A set of functions to run code 'with' safely and temporarily modified global state. Many of these functions were originally a part of the 'devtools' package, this provides a simple package with limited dependencies to provide access to these functions.
Author: Jim Hester [aut], Lionel Henry [aut, cre], Kirill Mueller [aut], Kevin Ushey [aut], Hadley Wickham [aut], Winston Chang [aut], Jennifer Bryan [ctb], Richard Cotton [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between withr versions 3.0.2 dated 2024-10-28 and 3.0.3 dated 2026-06-19

 DESCRIPTION                    |    6 +-
 MD5                            |   54 ++++++++++++------------
 NEWS.md                        |   22 ++++++++++
 R/collate.R                    |    4 -
 R/connection.R                 |    5 +-
 R/db.R                         |    4 +
 R/devices.R                    |    2 
 R/env.R                        |    8 ++-
 R/file.R                       |    1 
 R/local_.R                     |   16 ++++---
 R/locale.R                     |    4 -
 R/makevars.R                   |   39 +++++++++++++----
 R/namespace.R                  |   89 +++++++++++++++++++++++++++++++----------
 R/seed.R                       |   38 +++++++++++------
 R/sink.R                       |   12 +++--
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 R/timezone.R                   |   24 +++++++----
 R/utils.R                      |   31 ++++++++------
 R/with.R                       |   23 +++++-----
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 R/wrap.R                       |   14 +++---
 build/vignette.rds             |binary
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 inst/doc/withr.Rmd             |    2 
 inst/doc/withr.html            |    7 +--
 tests/testthat/test-language.R |   11 ++++-
 tests/testthat/test-seed.R     |   24 +++++++++++
 vignettes/withr.Rmd            |    2 
 28 files changed, 387 insertions(+), 184 deletions(-)

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Package SAMtool updated to version 1.9.2 with previous version 1.9.1 dated 2026-01-15

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

Diff between SAMtool versions 1.9.1 dated 2026-01-15 and 1.9.2 dated 2026-06-19

 DESCRIPTION                    |    8 +-
 MD5                            |   52 ++++++++--------
 NAMESPACE                      |    1 
 NEWS.md                        |    8 ++
 R/RCM2MOM.R                    |    3 
 R/RCM_assess.R                 |   18 +++++
 R/RCM_est.R                    |    4 -
 R/RCM_rmd.R                    |   64 ++++++++++----------
 R/define_S4_class_RCModel.R    |    8 +-
 R/define_S4_class_profile.R    |    2 
 R/define_S4_class_retro.R      |    5 +
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 R/diagnostic.R                 |    2 
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 R/report_SCA.R                 |   12 +--
 R/report_SP.R                  |    6 -
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 build/partial.rdb              |binary
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 inst/include/RCM.hpp           |  127 +++++++++++++++++++++++++----------------
 inst/include/SCA.hpp           |    2 
 inst/include/SP.hpp            |    2 
 inst/include/VPA.hpp           |    2 
 inst/include/cDD.hpp           |    4 -
 inst/include/functions.hpp     |    4 -
 man/plot.retro.Rd              |    4 -
 man/simulate.Rd                |    6 -
 27 files changed, 249 insertions(+), 184 deletions(-)

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Package RobustAFT updated to version 1.4-10 with previous version 1.4-7 dated 2023-08-21

Title: Truncated Maximum Likelihood Fit and Robust Accelerated Failure Time Regression for Gaussian and Log-Weibull Case
Description: R functions for the computation of the truncated maximum likelihood and the robust accelerated failure time regression for gaussian and log-Weibull case.
Author: Alfio Marazzi [aut], Jean-Luc Muralti [aut], Alex Randriamiharisoa [cre]
Maintainer: Alex Randriamiharisoa <exelami@gmail.com>

Diff between RobustAFT versions 1.4-7 dated 2023-08-21 and 1.4-10 dated 2026-06-19

 DESCRIPTION              |   29 ++++-
 MD5                      |   10 -
 NAMESPACE                |    1 
 man/RobustAFT-package.Rd |    6 -
 src/robaft.f             |  238 +++++++++++++++++++++++------------------------
 src/tmlest.f             |   14 +-
 6 files changed, 156 insertions(+), 142 deletions(-)

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Package RcppArmadillo updated to version 15.4.0-1 with previous version 15.2.7-1 dated 2026-05-29

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

Diff between RcppArmadillo versions 15.2.7-1 dated 2026-05-29 and 15.4.0-1 dated 2026-06-19

 ChangeLog                                                 |   18 
 DESCRIPTION                                               |    8 
 MD5                                                       |  200 ++--
 configure                                                 |   18 
 configure.ac                                              |    2 
 inst/NEWS.Rd                                              |   15 
 inst/include/armadillo                                    |    2 
 inst/include/armadillo_bits/Col_bones.hpp                 |   10 
 inst/include/armadillo_bits/Col_meat.hpp                  |   77 -
 inst/include/armadillo_bits/CubeToMatOp_bones.hpp         |    2 
 inst/include/armadillo_bits/Cube_bones.hpp                |    2 
 inst/include/armadillo_bits/Cube_meat.hpp                 |   31 
 inst/include/armadillo_bits/GenCube_bones.hpp             |    5 
 inst/include/armadillo_bits/Gen_bones.hpp                 |    2 
 inst/include/armadillo_bits/GlueCube_bones.hpp            |    2 
 inst/include/armadillo_bits/Glue_bones.hpp                |    2 
 inst/include/armadillo_bits/Mat_bones.hpp                 |   12 
 inst/include/armadillo_bits/Mat_meat.hpp                  |  217 ++++-
 inst/include/armadillo_bits/OpCube_bones.hpp              |    2 
 inst/include/armadillo_bits/Op_bones.hpp                  |    2 
 inst/include/armadillo_bits/Proxy.hpp                     |    8 
 inst/include/armadillo_bits/Row_bones.hpp                 |   10 
 inst/include/armadillo_bits/Row_meat.hpp                  |   77 -
 inst/include/armadillo_bits/SpGlue_bones.hpp              |    2 
 inst/include/armadillo_bits/SpMat_bones.hpp               |    2 
 inst/include/armadillo_bits/SpOp_bones.hpp                |    2 
 inst/include/armadillo_bits/SpSubview_bones.hpp           |    6 
 inst/include/armadillo_bits/SpSubview_col_list_bones.hpp  |    2 
 inst/include/armadillo_bits/SpToDGlue_bones.hpp           |    2 
 inst/include/armadillo_bits/SpToDOp_bones.hpp             |    2 
 inst/include/armadillo_bits/arma_forward.hpp              |    9 
 inst/include/armadillo_bits/arma_version.hpp              |    6 
 inst/include/armadillo_bits/auxlib_meat.hpp               |   20 
 inst/include/armadillo_bits/diagview_bones.hpp            |    2 
 inst/include/armadillo_bits/diskio_meat.hpp               |    5 
 inst/include/armadillo_bits/eglue_core_meat.hpp           |   50 -
 inst/include/armadillo_bits/fn_as_scalar.hpp              |    4 
 inst/include/armadillo_bits/fn_conv_to.hpp                |  334 ++++++--
 inst/include/armadillo_bits/fn_find.hpp                   |    8 
 inst/include/armadillo_bits/fn_inv.hpp                    |    2 
 inst/include/armadillo_bits/fn_inv_sympd.hpp              |    2 
 inst/include/armadillo_bits/fn_powext.hpp                 |    4 
 inst/include/armadillo_bits/fn_sylvester.hpp              |    6 
 inst/include/armadillo_bits/fn_trimat.hpp                 |   12 
 inst/include/armadillo_bits/glue_atan2_meat.hpp           |    4 
 inst/include/armadillo_bits/glue_cor_meat.hpp             |    4 
 inst/include/armadillo_bits/glue_cov_meat.hpp             |    4 
 inst/include/armadillo_bits/glue_max_meat.hpp             |   36 
 inst/include/armadillo_bits/glue_min_meat.hpp             |   36 
 inst/include/armadillo_bits/glue_powext_bones.hpp         |    4 
 inst/include/armadillo_bits/glue_powext_meat.hpp          |    4 
 inst/include/armadillo_bits/glue_times_meat.hpp           |    8 
 inst/include/armadillo_bits/gmm_diag_meat.hpp             |   28 
 inst/include/armadillo_bits/gmm_full_meat.hpp             |   22 
 inst/include/armadillo_bits/mp_misc.hpp                   |    4 
 inst/include/armadillo_bits/mtGlueCube_bones.hpp          |    2 
 inst/include/armadillo_bits/mtGlue_bones.hpp              |    2 
 inst/include/armadillo_bits/mtOpCube_bones.hpp            |    2 
 inst/include/armadillo_bits/mtOp_bones.hpp                |    2 
 inst/include/armadillo_bits/mtSpGlue_bones.hpp            |    2 
 inst/include/armadillo_bits/mtSpOp_bones.hpp              |    2 
 inst/include/armadillo_bits/mtSpReduceOp_bones.hpp        |    2 
 inst/include/armadillo_bits/op_clamp_meat.hpp             |    4 
 inst/include/armadillo_bits/op_cor_meat.hpp               |    8 
 inst/include/armadillo_bits/op_cov_meat.hpp               |    8 
 inst/include/armadillo_bits/op_diagmat_meat.hpp           |    4 
 inst/include/armadillo_bits/op_dot_meat.hpp               |    4 
 inst/include/armadillo_bits/op_expmat_meat.hpp            |    4 
 inst/include/armadillo_bits/op_find_aux_bones.hpp         |only
 inst/include/armadillo_bits/op_find_aux_meat.hpp          |only
 inst/include/armadillo_bits/op_find_bones.hpp             |    8 
 inst/include/armadillo_bits/op_find_meat.hpp              |   18 
 inst/include/armadillo_bits/op_flip_meat.hpp              |    4 
 inst/include/armadillo_bits/op_htrans_meat.hpp            |    2 
 inst/include/armadillo_bits/op_logmat_meat.hpp            |    4 
 inst/include/armadillo_bits/op_princomp_meat.hpp          |    4 
 inst/include/armadillo_bits/op_reshape_meat.hpp           |    4 
 inst/include/armadillo_bits/op_resize_meat.hpp            |    4 
 inst/include/armadillo_bits/op_reverse_meat.hpp           |    4 
 inst/include/armadillo_bits/op_shuffle_meat.hpp           |    4 
 inst/include/armadillo_bits/op_sort_meat.hpp              |    4 
 inst/include/armadillo_bits/op_sqrtmat_meat.hpp           |    4 
 inst/include/armadillo_bits/op_strans_meat.hpp            |    2 
 inst/include/armadillo_bits/op_symmat_meat.hpp            |   16 
 inst/include/armadillo_bits/op_trimat_meat.hpp            |   10 
 inst/include/armadillo_bits/op_vectorise_meat.hpp         |    4 
 inst/include/armadillo_bits/sp_auxlib_meat.hpp            |    2 
 inst/include/armadillo_bits/spdiagview_bones.hpp          |    2 
 inst/include/armadillo_bits/spdiagview_meat.hpp           |    8 
 inst/include/armadillo_bits/strip.hpp                     |   42 +
 inst/include/armadillo_bits/subview_bones.hpp             |   12 
 inst/include/armadillo_bits/subview_cube_bones.hpp        |    2 
 inst/include/armadillo_bits/subview_cube_each_meat.hpp    |  118 +-
 inst/include/armadillo_bits/subview_cube_meat.hpp         |    9 
 inst/include/armadillo_bits/subview_cube_slices_bones.hpp |    2 
 inst/include/armadillo_bits/subview_each_meat.hpp         |   12 
 inst/include/armadillo_bits/subview_elem1_bones.hpp       |   29 
 inst/include/armadillo_bits/subview_elem1_meat.hpp        |  571 ++++----------
 inst/include/armadillo_bits/subview_elem2_bones.hpp       |   32 
 inst/include/armadillo_bits/subview_elem2_meat.hpp        |  303 -------
 inst/include/armadillo_bits/subview_meat.hpp              |    4 
 inst/include/armadillo_bits/unwrap.hpp                    |   93 +-
 102 files changed, 1456 insertions(+), 1287 deletions(-)

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Package neonUtilities updated to version 4.0.0 with previous version 3.0.3 dated 2026-01-23

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

Diff between neonUtilities versions 3.0.3 dated 2026-01-23 and 4.0.0 dated 2026-06-19

 DESCRIPTION                 |   12 ++--
 MD5                         |   63 +++++++++++++----------
 NAMESPACE                   |    2 
 NEWS.md                     |   10 +++
 R/byEventSIM.R              |   27 ++++------
 R/byFileAOP.R               |   18 ++++++
 R/byTileAOP.R               |   18 ++++++
 R/datasetQuery.R            |  116 +++-----------------------------------------
 R/findTablesByFormat.R      |    5 +
 R/getCitation.R             |    2 
 R/getEddyLog.R              |    2 
 R/getHorVer.R               |    2 
 R/getIssueLog.R             |    2 
 R/getNeonDOI.R              |    2 
 R/getProductInfo.R          |    2 
 R/getProductSensors.R       |    2 
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 R/tokenCheck.R              |    2 
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 README.md                   |    6 ++
 data/shared_aquatic.rda     |binary
 data/table_types.rda        |binary
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 36 files changed, 211 insertions(+), 220 deletions(-)

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Package Hmisc updated to version 5.2-6 with previous version 5.2-5 dated 2026-01-09

Title: Harrell Miscellaneous
Description: Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, simulation, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, recoding variables, caching, simplified parallel computing, encrypting and decrypting data using a safe workflow, general moving window statistical estimation, and assistance in interpreting principal component analysis.
Author: Frank E Harrell Jr [aut, cre] , Cole Beck [ctb], Charles Dupont [ctb]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

Diff between Hmisc versions 5.2-5 dated 2026-01-09 and 5.2-6 dated 2026-06-19

 DESCRIPTION           |   12 ++---
 MD5                   |   52 ++++++++++++-------------
 NEWS                  |   16 ++++---
 R/areg.s              |    2 
 R/bpower.s            |    2 
 R/bpplot.s            |    2 
 R/confbar.s           |    4 -
 R/drawPlot.s          |   14 +++---
 R/event.chart.s       |    2 
 R/gbayes.s            |    2 
 R/latexDotchart.s     |    2 
 R/movStats.r          |   43 ++++++++++-----------
 R/na.delete.s         |    2 
 R/plotlyM.r           |    2 
 R/qcrypt.r            |  102 +++++++++++++++++++++++++++-----------------------
 R/rcspline.eval.s     |    6 +-
 R/rcspline.plot.s     |    2 
 R/rm.boot.s           |    2 
 R/scat1d.s            |    2 
 R/show.pch.s          |    2 
 R/summary.formula.s   |    4 -
 R/transace.s          |    8 +--
 R/wtd.stats.s         |    2 
 inst/tests/latexpng.r |    2 
 man/meltData.Rd       |    2 
 man/qcrypt.Rd         |   10 ++--
 man/rm.boot.Rd        |   48 +++++++++++------------
 27 files changed, 181 insertions(+), 168 deletions(-)

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Package graphlayouts updated to version 1.2.4 with previous version 1.2.3 dated 2026-02-21

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow the user to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between graphlayouts versions 1.2.3 dated 2026-02-21 and 1.2.4 dated 2026-06-19

 DESCRIPTION                               |    6 +++---
 MD5                                       |    8 ++++----
 NEWS.md                                   |    4 ++++
 R/layout_stress.R                         |    6 +-----
 tests/testthat/test-stress_majorization.R |   30 ++++++++++++++++++++++++++++++
 5 files changed, 42 insertions(+), 12 deletions(-)

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Package emplik updated to version 1.3-3 with previous version 1.3-2 dated 2024-12-06

Title: Empirical Likelihood Ratio for Censored/Truncated Data
Description: Empirical likelihood ratio tests and confidence intervals for means/quantiles/hazards from possibly censored and/or truncated data. In particular, the empirical likelihood for the Kaplan-Meier/Nelson-Aalen estimator. Now does AFT regression too.
Author: Mai Zhou [aut, cre, cph], Yifan Yang [aut], Art Owen [aut]
Maintainer: Mai Zhou <maizhou@gmail.com>

Diff between emplik versions 1.3-2 dated 2024-12-06 and 1.3-3 dated 2026-06-19

 DESCRIPTION            |    6 +++---
 MD5                    |   20 +++++++++++---------
 NAMESPACE              |    2 +-
 R/WCY.R                |    2 +-
 R/WKM.R                |   37 ++++++++++++++++++-------------------
 R/el.cen.test.R        |    2 +-
 R/el.cen.test2.R       |only
 README                 |    1 +
 man/el.cen.EM2.Rd      |   23 ++++++++++++++++++-----
 man/el.cen.test.Rd     |    7 ++++---
 man/el.cen.test2.Rd    |only
 man/emplik-internal.Rd |    2 +-
 12 files changed, 59 insertions(+), 43 deletions(-)

More information about emplik at CRAN
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