Wed, 03 Jun 2026

Package adbcsqlite updated to version 0.23.0-1 with previous version 0.23.0 dated 2026-04-08

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package adbcpostgresql updated to version 0.23.0-1 with previous version 0.23.0 dated 2026-04-08

Title: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package BetaDanish updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-20

Title: The Beta-Danish Distribution for Lifetime Data Analysis
Description: Implements the four-parameter Beta-Danish distribution and its three-parameter submodel for survival and reliability analysis, based on Ahmad and Danish (2025) <doi:10.2478/jamsi-2025-0010>. Provides functions for density, distribution, quantile, hazard, and random generation. Includes maximum likelihood estimation for complete and right-censored data, goodness-of-fit assessment, comparison with standard lifetime distributions, and publication-quality visualizations. Advanced modules support Accelerated Failure Time (AFT) regression, mixture and promotion-time cure models, and competing risks analysis.
Author: Bilal Ahmad [aut, cre], Muhammad Yameen Danish [aut]
Maintainer: Bilal Ahmad <bilalahmad.imcbh9@gmail.com>

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Package ViewR updated to version 2.0.0 with previous version 1.0.0 dated 2026-05-06

Title: Advanced Interactive Data Tables and Data Explorer
Description: An advanced, interactive data table and data explorer for R, delivered as a modern, self-contained 'htmlwidget' with a high-performance virtualized grid. ViewR renders 'Kaggle'-style micro-dashboard column headers complete with data-type badges, mini distribution spark-histograms, and data-completeness (missingness) bars. It provides hover metadata cards, a sliding Data Insights drawer with interactive histograms and 'Pareto' category charts, a multi-condition visual query builder (AND/OR), a column visibility picker, and a reproducible code generator that emits 'dplyr', base R, and 'SQL' that matches the active filter and column state. The interface is implemented entirely in dependency-free vanilla 'JavaScript' (no 'React' or build toolchain) and works in the 'RStudio'/'Positron' Viewer, inside 'Shiny' apps, in 'R Markdown'/'Quarto', or as a portable standalone 'HTML' file. A single call to viewr() opens the explorer; the legacy 'Shiny'-gadget ViewR() editor remains available.
Author: Mahesh Divakaran [aut, cre]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>

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Package texanshootR updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-30

Title: Reproducible Audit Trails for Indefensible Research
Description: Provides a structured, terminal-first interface for exploratory model search, including transformation grids, predictor-subset enumeration, interaction screening, principled- sounding sample restrictions, outcome engineering, and model-form escalation (polynomial / spline wraps, robust M-estimation, generalized linear model (GLM) family swaps, random-intercept lifts). Persistent run history, achievement tracking, and reportable output generators (manuscript, presentation, funding letter, graphical abstract, reviewer response) are included.
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package rjsoncons updated to version 1.3.3 with previous version 1.3.2 dated 2025-03-15

Title: Query, Pivot, Patch, and Validate 'JSON' and 'NDJSON'
Description: Functions to query (filter or transform), pivot (convert from array-of-objects to object-of-arrays, for easy import as 'R' data frame), search, patch (edit), and validate (against 'JSON Schema') 'JSON' and 'NDJSON' strings, files, or URLs. Query and pivot support 'JSONpointer', 'JSONpath' or 'JMESpath' expressions. The implementation uses the 'jsoncons' <https://danielaparker.github.io/jsoncons/> header-only library; the library is easily linked to other packages for direct access to 'C++' functionality not implemented here.
Author: Martin Morgan [aut, cre] , Marcel Ramos [aut] , Daniel Parker [aut, cph]
Maintainer: Martin Morgan <mtmorgan.xyz@gmail.com>

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Package adelie updated to version 1.0.10 with previous version 1.0.9 dated 2026-05-07

Title: Group Lasso and Elastic Net Solver for Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire group lasso and group elastic net regularization path for GLMs, multinomial, the Cox model and multi-task Gaussian models. Similar to the R package 'glmnet' in scope of models, and in computational speed. This package provides R bindings to the C++ code underlying the corresponding Python package 'adelie'. These bindings offer a general purpose group elastic net solver, a wide range of matrix classes that can exploit special structure to allow large-scale inputs, and an assortment of generalized linear model classes for fitting various types of data. The package is an implementation of Yang, J. and Hastie, T. (2024) <doi:10.48550/arXiv.2405.08631>.
Author: James Yang [aut, cph], Trevor Hastie [aut, cph, cre], Balasubramanian Narasimhan [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package contentValidity updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-11

Title: Content Validity Indices for Instrument Development
Description: Computes content validity indices commonly used in instrument development and questionnaire validation, including the Item-level Content Validity Index (I-CVI), Scale-level Content Validity Index (S-CVI), modified kappa adjusted for chance agreement, Aiken's V, and Lawshe's Content Validity Ratio (CVR). Methods follow Lynn (1986) <doi:10.1097/00006199-198611000-00017>, Polit and Beck (2006) <doi:10.1002/nur.20147>, Aiken (1985) <doi:10.1177/0013164485451012>, and Lawshe (1975) <doi:10.1111/j.1744-6570.1975.tb01393.x>.
Author: Rashed Alqahtani [aut, cre]
Maintainer: Rashed Alqahtani <rashed.alqahtani@gmail.com>

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Package npRmpi updated to version 0.70-3 with previous version 0.70-2 dated 2026-05-15

Title: Parallel Nonparametric Kernel Smoothing Methods for Mixed Data Types Using 'MPI'
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. This package is a parallel implementation of the 'np' package based on the 'MPI' specification that incorporates the 'Rmpi' package (Hao Yu <hyu@stats.uwo.ca>) with minor modifications and we are extremely grateful to Hao Yu for his contributions to the 'R' community. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the 'GNU GSL' authors. In particular, we adapt the 'GNU GSL' B-spline routine 'gsl_bspline.c' adding automated support for quantile knots (in addition t [...truncated...]
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut], Hao Yu [ctb, cph], The GSL Team [cph], Numerical Recipes Software [cph]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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 R/npregiv.R                                                               |   33 
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 R/qregression.R                                                           |   22 
 R/rbandwidth.R                                                            |    2 
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Package CatastRo updated to version 1.0.2 with previous version 1.0.1 dated 2026-04-27

Title: Interface to the Spanish 'Catastro' Web Services
Description: Access public spatial data from the Spanish 'Catastro' through its 'INSPIRE' and related web services. Retrieve parcel, building, address and map image data, and convert between parcel references and coordinates.
Author: Angel Delgado Panadero [aut, cph] , Inaki Ucar [ctb] , Diego Hernangomez [aut, cre]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package GetFREData updated to version 1.0.1 with previous version 0.8.1 dated 2022-06-13

Title: Reading FRE Corporate Data of Public Traded Companies from B3
Description: Reads corporate data such as board composition and compensation for companies traded at B3, the Brazilian exchange <https://www.b3.com.br/>. All data is downloaded and imported from the ftp site <https://dados.cvm.gov.br/dados/CIA_ABERTA/DOC/FRE/>.
Author: Marcelo Perlin [aut, cre], Guilherme Kirch [aut]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package SlimR updated to version 1.1.5 with previous version 1.1.3 dated 2026-04-07

Title: Adaptive Machine Learning-Powered, Context-Matching Tool for Single-Cell and Spatial Transcriptomics Annotation
Description: Annotates single-cell and spatial-transcriptomic (ST) data using context-matching marker datasets. It creates a unified marker list (`Markers_list`) from multiple sources: built-in curated databases ('Cellmarker2', 'PanglaoDB', 'ScType', 'scIBD', 'TCellSI', 'PCTIT', 'PCTAM'), Seurat objects with cell labels, or user-provided Excel tables. SlimR first uses adaptive machine learning for parameter optimization, and then offers two automated annotation approaches: 'cluster-based' and 'per-cell'. Cluster-based annotation assigns one label per cluster, expression-based probability calculation, and AUC validation. Per-cell annotation assigns labels to individual cells using three scoring methods with adaptive thresholds and ratio-based confidence filtering, plus optional UMAP spatial smoothing, making it ideal for heterogeneous clusters and rare cell types. The package also supports semi-automated workflows with heatmaps, feature plots, and combined visualizations for manual annotation. For m [...truncated...]
Author: Zhaoqing Wang [aut, cre]
Maintainer: Zhaoqing Wang <zhaoqingwang@mail.sdu.edu.cn>

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Package island updated to version 0.2.11 with previous version 0.2.10 dated 2023-11-29

Title: Stochastic Island Biogeography Theory Made Easy
Description: Develops stochastic models based on the Theory of Island Biogeography (TIB) of MacArthur and Wilson (1967) <doi:10.1023/A:1016393430551> and extensions. It implements methods to estimate colonization and extinction rates (including environmental variables) given presence-absence data, simulates community assembly, and performs model selection.
Author: Vicente Jimenez [aut, cre], David Alonso [aut]
Maintainer: Vicente Jimenez <vicente.jimenez.ontiveros@gmail.com>

Diff between island versions 0.2.10 dated 2023-11-29 and 0.2.11 dated 2026-06-03

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Package GPTCM updated to version 2.0.0 with previous version 1.1.3 dated 2025-10-31

Title: Generalized Promotion Time Cure Model with Bayesian Shrinkage Priors
Description: Generalized promotion time cure model (GPTCM) via Bayesian hierarchical modeling for multiscale data integration (Zhao et al. (2025) <doi:10.48550/arXiv.2509.01001>). The Bayesian GPTCMs are applicable for both low- and high-dimensional data.
Author: Zhi Zhao [aut, cre]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

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Package Surrogate updated to version 3.4.2 with previous version 3.4.1 dated 2025-04-29

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration (Grant Agreement no 602552), the Special Research Fund (BOF) of Hasselt University (BOF-number: BOF2OCPO3), GlaxoSmithKline Biologicals, Baekeland Mandaat (HBC.2022.0145), and Johnson & Johnson Innovative Medicine.
Author: Wim Van Der Elst [cre, aut], Florian Stijven [aut], Fenny Ong [aut], Dries De Witte [aut], Gokce Deliorman [aut], Paul Meyvisch [aut], Alvaro Poveda [aut], Ariel Alonso [aut], Hannah Ensor [aut], Christoper Weir [aut], Geert Molenberghs [aut]
Maintainer: Wim Van Der Elst <wim.vanderelst@gmail.com>

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More information about Surrogate at CRAN
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Package shinyseo updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-29

Title: Search Engine Optimization, Social Metadata, and Site Verification Helpers for 'Shiny' Apps
Description: Utilities for injecting search engine optimization (SEO), Open Graph, Twitter, site verification, and schema.org metadata into 'Shiny' applications from YAML files or named lists.
Author: Rolf Lindgren [aut, cre]
Maintainer: Rolf Lindgren <rolf@grendel.no>

Diff between shinyseo versions 0.1.0 dated 2026-04-29 and 0.1.1 dated 2026-06-03

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More information about shinyseo at CRAN
Permanent link

New package sgmean with initial version 0.1.0
Package: sgmean
Title: Trimmed Mean Compatible with 'Statgraphics' Method
Version: 0.1.0
Description: Computes the trimmed mean using a proportional discount method on the extremes, replicating the behavior of 'Statgraphics' software. Unlike R's built-in mean() with trim, this method applies a weighted reduction to boundary values rather than removing them entirely.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/jcarlosgaviria/sgmean
BugReports: https://github.com/jcarlosgaviria/sgmean/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-30 20:55:07 UTC; Personal
Author: Juan Carlos Gaviria Chaverra [aut, cre]
Maintainer: Juan Carlos Gaviria Chaverra <jcarlos.gaviria@udea.edu.co>
Repository: CRAN
Date/Publication: 2026-06-03 14:10:02 UTC

More information about sgmean at CRAN
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New package robusttseq with initial version 0.1.0
Package: robusttseq
Title: Robust Statistical Methods with Huber Estimators
Version: 0.1.0
Author: Nair Gonzalez Sotomayor [aut, cre], Aquiles Enrique Darghan Contreras [aut]
Maintainer: Nair Gonzalez Sotomayor <njgonzalezs@unal.edu.co>
Description: Provides robust statistical methods for analyzing numeric data, including robust estimation of location and scale using Huber M-estimators and a robust two-sample t-test. Methods are based on Huber (1981, ISBN:0471418056) "Robust Statistics" and Smyth (2004) <doi:10.2202/1544-6115.1027>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: limma, stats
NeedsCompilation: no
Packaged: 2026-05-30 17:09:41 UTC; root
Repository: CRAN
Date/Publication: 2026-06-03 14:10:07 UTC

More information about robusttseq at CRAN
Permanent link

New package polish with initial version 0.3.1
Package: polish
Title: Polishing Content for 'Word' and 'PowerPoint'
Version: 0.3.1
Description: Set of functions to polish content for Microsoft 'Word' and 'PowerPoint' into 'OOXML'. Polishing is the conversion of the R object into an 'OOXML' representation of the object that can then be added to 'Word' or 'PowerPoint' files.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://gsk-biostatistics.github.io/polish/, https://github.com/GSK-Biostatistics/polish/
BugReports: https://github.com/GSK-Biostatistics/polish/issues/
Depends: R (>= 4.1.0)
Imports: cli, commonmark, dplyr, flextable, ggplot2, glue, gt, htmltools, magick, officer (>= 0.6.9), purrr, rlang, rmarkdown, sloop, tibble, webshot2, xml2
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-05-30 17:40:34 UTC; ehh82309
Author: Romain Francois [aut], Ellis Hughes [aut, cre], Shannon Haughton [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Ellis Hughes <ellis.h.hughes@gsk.com>
Repository: CRAN
Date/Publication: 2026-06-03 14:10:12 UTC

More information about polish at CRAN
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Package ParallelTree readmission to version 0.2.0 with previous version 0.1.3 dated 2019-09-17

Title: Visualizing Multilevel Data with Parallel Tree Plots
Description: Provides two functions: Group_function() and Parallel_Tree(). Group_function() applies a given function (e.g., mean()) to input variable(s) by group across levels of a multilevel data structure, with additional data management options. Parallel_Tree() uses 'ggplot2' to create parallel coordinate plots (technically a facsimile of parallel coordinate plots in a Cartesian coordinate system). Used in combination, these functions can create parallel tree plots, a variant of parallel coordinate plots useful for visualizing multilevel data.
Author: Patrick O'Keefe [aut, cre]
Maintainer: Patrick O'Keefe <pgok15@gmail.com>

This is a re-admission after prior archival of version 0.1.3 dated 2019-09-17

Diff between ParallelTree versions 0.1.3 dated 2019-09-17 and 0.2.0 dated 2026-06-03

 DESCRIPTION           |   28 +++++++++++++++++-----------
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More information about ParallelTree at CRAN
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Package gridify updated to version 0.8.1 with previous version 0.7.7 dated 2026-02-05

Title: Enrich Figures and Tables with Custom Headers and Footers and More
Description: A simple and flexible tool designed to create enriched figures and tables by providing a way to add text around them through predefined or custom layouts. Any input which is convertible to 'grob' is supported, like 'ggplot', 'gt' or 'flextable'. Based on R 'grid' graphics, for more details see Paul Murrell (2018) <doi:10.1201/9780429422768>.
Author: Maciej Nasinski [aut, cre], Alexandra Wall [aut], Sarah Robson [aut], Pritish Dash [aut], Jennifer Winick-Ng [aut], Lily Nan [ctb], Alphonse Kwizera [ctb], Agota Bodoni [ctb], Eilis Meldrum-Dolan [ctb], Gary Cao [ctb], Monika Beh [ctb], UCB S.A., Bel [...truncated...]
Maintainer: Maciej Nasinski <Maciej.Nasinski@ucb.com>

Diff between gridify versions 0.7.7 dated 2026-02-05 and 0.8.1 dated 2026-06-03

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 gridify-0.8.1/gridify/tests/testthat/test_print.R           |   15 
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More information about gridify at CRAN
Permanent link

Package climaemet updated to version 1.6.0 with previous version 1.5.1 dated 2026-03-23

Title: Tools for AEMET Climate Data
Description: Download meteorological and climate data from the Spanish Meteorological Agency (AEMET) directly in R using the AEMET API. Create scientific visualizations, including climate charts, climate time series trend analyses, temperature and precipitation anomaly maps, warming stripes and climatograms.
Author: Manuel Pizarro [aut, cph] , Diego Hernangomez [aut, cre] , Gema Fernandez-Aviles [aut] , AEMET [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between climaemet versions 1.5.1 dated 2026-03-23 and 1.6.0 dated 2026-06-03

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New package twscrapeR with initial version 0.1.3
Package: twscrapeR
Title: Twitter/X Scraping via Python's 'twscrape' Library
Version: 0.1.3
Date: 2026-05-23
Description: A comprehensive R interface to Python's 'twscrape' library for scraping Twitter/X data. This package uses 'reticulate' to provide a seamless R interface to the fully functional Python 'twscrape' library. Supports searching tweets, user timelines, followers, and more, with built-in rate limiting and multi-account support. Built on top of 'twscrape' by vladkens <https://github.com/vladkens/twscrape> and inspired by 'snscrape' by JustAnotherArchivist <https://github.com/JustAnotherArchivist/snscrape>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: reticulate (>= 1.20), cli (>= 3.0.0), jsonlite
Suggests: dplyr, purrr, tibble, testthat (>= 3.0.0)
URL: https://github.com/agusnieto77/twscrapeR
BugReports: https://github.com/agusnieto77/twscrapeR/issues
NeedsCompilation: no
Packaged: 2026-05-30 02:35:27 UTC; agustin
Author: Agustin Nieto [aut, cre], Claude AI [ctb]
Maintainer: Agustin Nieto <agustin.nieto77@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-03 13:10:02 UTC

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New package regcorr with initial version 0.1.0
Package: regcorr
Title: Regression Models of Pearson Correlation Coefficient
Version: 0.1.0
Description: Provides statistical tools for evaluating how covariates influence the strength of Pearson correlation coefficients between two response variables. Supports bivariate normal and bivariate binary responses, with likelihood-based inference and bootstrap-based significance testing. The methodology is based on Dufera, Liu and Xu (2023) "Regression models of Pearson correlation coefficient" <doi:10.1080/24754269.2023.2164970>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/lonze-nb/regcorr
BugReports: https://github.com/lonze-nb/regcorr/issues
NeedsCompilation: no
Packaged: 2026-05-30 13:32:53 UTC; 34351
Author: Ze Lin [aut, cre], Bo Li [aut], Jinyao Shen [aut]
Maintainer: Ze Lin <zlin5858@163.com>
Repository: CRAN
Date/Publication: 2026-06-03 13:50:02 UTC

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New package picreg with initial version 0.1.2
Package: picreg
Title: Variable Selection using the Pivotal Information Criterion
Version: 0.1.2
Date: 2026-05-30
Description: Sparse regression and classification via the Pivotal Information Criterion (PIC), an alternative to the Bayesian Information Criterion (BIC), cross-validation, and Lasso-based tuning. The regularisation parameter is selected from a pivotal null-distribution statistic, eliminating the need for cross-validation and yielding sharper support recovery. Provides Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) optimisation for the L1, Smoothly Clipped Absolute Deviation (SCAD), and Minimax Concave Penalty (MCP) penalties across six response distributions: Gaussian, binomial, Poisson, exponential, Gumbel, and Cox. Under standard sparsity assumptions, the selector achieves a phase transition for exact support recovery, analogous to results in compressed sensing. See Sardy, van Cutsem and van de Geer (2026) <doi:10.48550/arXiv.2603.04172>.
License: GPL-2
URL: https://github.com/VcMaxouuu/picreg
BugReports: https://github.com/VcMaxouuu/picreg/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: stats, graphics, grDevices, parallel, future, future.apply, Rcpp (>= 1.0.10)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, xfun, glmnet
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-05-30 10:45:46 UTC; maxvancutsem
Author: Maxime van Cutsem [aut, cre], Sylvain Sardy [aut]
Maintainer: Maxime van Cutsem <maxime.vancutsem@unige.ch>
Repository: CRAN
Date/Publication: 2026-06-03 13:40:02 UTC

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New package opencltools with initial version 0.8.1
Package: opencltools
Title: 'OpenCL' Tools for R Package Developers
Version: 0.8.1
Date: 2026-05-26
Description: Runtime 'OpenCL' support for R package developers: probe hardware and drivers, load and concatenate kernel sources, and manage dependency-annotated '.cl' libraries, so packages like 'nmathopencl' and other ported libraries can offer GPU acceleration without each re-implementing the same plumbing. Vignettes use the 'glmbayes' envelope-gradient example and likelihood subgradient methodology (Nygren and Nygren, 2006, <doi:10.1198/016214506000000357>).
License: GPL-2
URL: https://github.com/knygren/opencltools, https://knygren.r-universe.dev/opencltools
BugReports: https://github.com/knygren/opencltools/issues
Imports: stats, Rcpp (>= 1.1.1), RcppParallel, Rdpack (>= 0.11-0), jsonlite
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Depends: R (>= 3.5.0)
Suggests: glmbayes (>= 0.9.3), testthat (>= 3.0.0), spelling, knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: Optional 'OpenCL' support. If available, GPU acceleration will be used; otherwise, computation runs on CPU.
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2026-05-30 11:28:59 UTC; kjell
Author: Kjell Nygren [aut, cre], The R Core Team [ctb, cph] , The R Foundation [cph] , Ross Ihaka [ctb, cph] , Robert Gentleman [ctb, cph] , Simon Davies [ctb] , Morten Welinder [ctb, cph] , Martin Maechler [ctb]
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-03 13:50:07 UTC

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New package lacunarity with initial version 0.1.0
Package: lacunarity
Title: Standard and Generalized Lacunarity for Binary Time Series
Version: 0.1.0
Depends: R (>= 3.0.1)
Description: Estimates lacunarity and generalized lacunarity for unidimensional binary time series. The lacunarity index summarizes the similarity of parts from different regions of a series at a given scale by averaging the behavior of variable size structures of zeros and ones. The generalized lacunarity concept provides an enhanced measure of the organization of the gaps over all measured scales and over the different arrangements of smaller and larger gaps in the series.
License: GPL (>= 2)
Encoding: UTF-8
Imports: zoo, plyr, stats
URL: https://github.com/Ikarobarreto/lacunarity
BugReports: https://github.com/Ikarobarreto/lacunarity/issues
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-30 15:06:56 UTC; ikaro.barreto
Author: Ikaro Barreto [aut, cre]
Maintainer: Ikaro Barreto <daniel.carvalho.ib@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-03 13:50:14 UTC

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New package JumpDiffSim with initial version 0.1.0
Package: JumpDiffSim
Title: Jump Diffusion Simulation and Calibration for Merton and Kou Models
Version: 0.1.0
Description: Implements the Merton (1976) <doi:10.1016/0304-405X(76)90022-2> and Kou (2002) <doi:10.1287/mnsc.48.8.1086.166> jump-diffusion models through a unified S4 object-oriented interface. Provides exact compound-Poisson asset price simulation, maximum likelihood parameter estimation with Hessian-based standard errors, Wald-type confidence intervals, European option pricing via the Merton analytic series expansion, and publication-quality diagnostic plots. All functionality operates entirely offline without market data dependencies.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: methods, stats, ggplot2 (>= 4.0.2), numDeriv (>= 2016.8.1.1)
Suggests: knitr, pkgdown, rmarkdown, covr, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://kennedy2244.github.io/JumpDiffSim/, https://github.com/kennedy2244/JumpDiffSim
BugReports: https://github.com/kennedy2244/JumpDiffSim/issues
NeedsCompilation: no
Packaged: 2026-05-30 10:25:35 UTC; kenne
Author: Kennedy Titus Kayaki [aut, cre], Dohyun Oh [aut], Ju Seong Hyeon [aut], Lee Se Eun [aut], Choi Jiwoo [aut], Yuri Shin [aut]
Maintainer: Kennedy Titus Kayaki <kennedy_2244@yu.ac.kr>
Repository: CRAN
Date/Publication: 2026-06-03 13:40:08 UTC

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New package fssg with initial version 1.0.0
Package: fssg
Title: Parametric Survival Modeling in Bulk
Version: 1.0.0
Description: A simple tool for the bulk creation and testing of parametric survival models. Simply provide 'fssg' with a formula and some data, and let it identify the best distributions for you.
License: MIT + file LICENSE
URL: https://github.com/jmrothen/fssg
BugReports: https://github.com/jmrothen/fssg/issues
Encoding: UTF-8
LinkingTo: Rcpp
Imports: actuar, dplyr, extraDistr, flexsurv, magrittr, methods, Rcpp, rstudioapi, stats, survAUC, survival, SurvMetrics, tictoc, VGAM
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), splines2
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-05-30 00:17:00 UTC; jmrot
Author: John Rothen [aut, cre, cph]
Maintainer: John Rothen <jmrothen.business@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-03 13:10:08 UTC

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Package epanet2toolkit updated to version 1.0.9 with previous version 1.0.8 dated 2024-12-16

Title: Call 'EPANET' Functions to Simulate Pipe Networks
Description: Enables simulation of water piping networks using 'EPANET'. The package provides functions from the 'EPANET' programmer's toolkit as R functions so that basic or customized simulations can be carried out from R. The package uses 'EPANET' version 2.2 from Open Water Analytics <https://github.com/OpenWaterAnalytics/EPANET/releases/tag/v2.2>.
Author: Ernesto Arandia [aut], Bradley Eck [aut, cre], Lew Rossman [aut], Michael Tryby [ctb], Sam Hatchett [ctb], Feng Shang [ctb], James Uber [ctb], Tom Taxon [ctb], Hyoungmin Woo [ctb], Jinduan Chen [ctb], Yunier Soad [ctb], Mike Kane [ctb], Demetrios Eli [...truncated...]
Maintainer: Bradley Eck <brad@bradeck.net>

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Package dream updated to version 2.1.2 with previous version 2.1.1 dated 2026-05-29

Title: Dynamic Relational Event Analysis and Modeling
Description: A set of tools for relational and event analysis, including two- and one-mode network brokerage and structural measures, and helper functions optimized for relational event analysis with large datasets, including creating relational risk sets, computing network statistics, estimating relational event models, and simulating relational event sequences. For more information on relational event models, see Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x>, Lerner and Lomi (2020) <doi:10.1017/nws.2019.57>, Bianchi et al. (2024) <doi:10.1146/annurev-statistics-040722-060248>, and Butts et al. (2023) <doi:10.1017/nws.2023.9>. In terms of the structural measures in this package, see Leal (2025) <doi:10.1177/00491241251322517>, Burchard and Cornwell (2018) <doi:10.1016/j.socnet.2018.04.001>, and Fujimoto et al. (2018) <doi:10.1017/nws.2018.11>. This package was developed with support from the National Science Foundation’s (NSF) Human Networks and Data [...truncated...]
Author: Kevin A. Carson [aut, cre] , Diego F. Leal [aut]
Maintainer: Kevin A. Carson <kacarson@arizona.edu>

Diff between dream versions 2.1.1 dated 2026-05-29 and 2.1.2 dated 2026-06-03

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New package AIGRA with initial version 0.1.1
Package: AIGRA
Title: Agentic Item Generation, Review, and Analysis
Version: 0.1.1
Author: Moses O. Omopekunola [aut, cre]
Maintainer: Moses O. Omopekunola <omopekunola.m@hse.ru>
Description: Provides tools for validating, generating, reviewing, reporting, and visualising assessment item generation workflows. The package supports tabular item-bank templates, item-bank validation, 'Python'-backed agentic generation workflows, multimodal diagram generation, quality summaries, and 'HTML' reporting. External artificial intelligence services and related 'API' calls require user-supplied credentials and are not called during package checks. The workflow is informed by automatic item generation methods described by Gierl and Haladyna (2013, ISBN:9780415897518) and evidence-centered assessment design described by Mislevy et al. (2003) <doi:10.1002/j.2333-8504.2003.tb01908.x>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, grid, reticulate, utils, grDevices,
Suggests: base64enc, png, readxl, rmarkdown, writexl
NeedsCompilation: no
Packaged: 2026-05-29 23:01:12 UTC; OMOPEKUNOLA
Repository: CRAN
Date/Publication: 2026-06-03 13:10:21 UTC

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New package pathdb with initial version 0.1.0
Package: pathdb
Title: Comprehensive Database for Pathway Enrichment Analysis
Version: 0.1.0
Description: Provides access to large-scale genomics data from the South Dakota State University's bioinformatics database, a unified platform for pathway analysis of over 13,000 organisms. It includes various gene mappings, gene characteristics, and pathway mapping data from KEGG, GOBP, GOCC, and many more pathway databases. Also provides various helper functions for processing RNA-Seq data for differential expression analysis and pathway enrichment analysis, occasionally sourced from code from Integrated Differential Expression & Pathway analysis (iDEP), developed by Ge, S.X., Son, E.W. & Yao, R. (2018) <doi:10.1186/s12859-018-2486-6>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Language: en-US
Imports: DBI, dplyr, edgeR, R.utils, RSQLite, stats, utils, tools
Suggests: clusterProfiler, curl, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://github.com/aidanfred24/pathdb, https://aidanfred24.github.io/pathdb/
BugReports: https://github.com/aidanfred24/pathdb/issues
NeedsCompilation: no
Packaged: 2026-05-29 23:02:25 UTC; aidan
Author: Aidan Frederick [aut, cre], Xijin Ge [fnd]
Maintainer: Aidan Frederick <Aidan.Frederick@sdstate.edu>
Repository: CRAN
Date/Publication: 2026-06-03 13:00:02 UTC

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Package MDgof updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-12

Title: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions
Description: The routine gof_test() in this package runs the goodness-of-fit test using various test statistic for multivariate data. Models under the null hypothesis can either be simple or allow for parameter estimation. p values are found via the parametric bootstrap (simulation). The routine gof_test_adjusted_pvalues() runs several tests and then finds a p value adjusted for simultaneous inference. The routine gof_power() allows the estimation of the power of the tests. hybrid_test() and hybrid_power() do the same by first generating a Monte Carlo data set under the null hypothesis and then running a number of two-sample methods. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package via a large number of case studies. For details of the methods and references see the included vignettes.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

Diff between MDgof versions 1.0.0 dated 2026-02-12 and 1.0.1 dated 2026-06-03

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New package bayprior with initial version 0.2.12
Package: bayprior
Title: Bayesian Prior Elicitation and Diagnostics for Clinical Trials
Version: 0.2.12
Description: A toolkit for constructing, validating, and justifying Bayesian priors in clinical trial settings. Implements expert elicitation via quantile matching, the roulette method, and moment matching across six distribution families, linear and logarithmic expert pooling, prior-data conflict diagnostics including the Box p-value, surprise index, information divergence, and Mahalanobis distance, sensitivity analyses with tornado and influence heatmap plots, sceptical, robust, and power priors, and automated prior justification reports. Includes a fully modular 'Shiny' application for interactive use. Methods based on O'Hagan et al. (2006, ISBN:9780470029886), Box (1980) <doi:10.2307/2982063>, Oakley and O'Hagan (2010) <https://tonyohagan.co.uk/shelf/>, Schmidli et al. (2014) <doi:10.1111/biom.12242>, Ibrahim and Chen (2000) <doi:10.1214/ss/1009212673>, Spiegelhalter et al. (1994) <doi:10.2307/2983527>.
License: GPL-3
URL: https://github.com/ndohpenngit/bayprior
BugReports: https://github.com/ndohpenngit/bayprior/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), config (>= 0.3.1), dplyr (>= 1.1.0), DT (>= 0.27), ggplot2 (>= 3.4.0), glue (>= 1.6.2), golem (>= 0.4.1), plotly (>= 4.10.1), purrr (>= 1.0.0), rlang (>= 1.2.0), shiny (>= 1.7.4), shinycssloaders (>= 1.0.0), shinydashboard (>= 0.7.2), shinyjs (>= 2.1.0), shinyWidgets (>= 0.7.6), stats
Suggests: htmlwidgets (>= 1.5.4), knitr (>= 1.40), patchwork (>= 1.1.0), quarto (>= 1.4), rmarkdown (>= 2.20), shinytest2 (>= 0.3.1), spelling (>= 2.2.0), testthat (>= 3.0.0), vdiffr (>= 1.0.0), withr (>= 2.5.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
SystemRequirements: Quarto CLI (>= 1.5, https://quarto.org)
NeedsCompilation: no
Packaged: 2026-05-29 21:31:16 UTC; ndohpenn
Author: Ndoh Penn [aut, cre]
Maintainer: Ndoh Penn <ndohpenn9@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-03 13:00:08 UTC

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Package ZIM updated to version 1.1.2 with previous version 1.1.0 dated 2018-08-28

Title: Zero-Inflated Models for Count Time Series with Excess Zeros
Description: Analyze count time series with excess zeros. Two types of statistical models are supported: Markov regression by Yang et al. (2013) <doi:10.1016/j.stamet.2013.02.001> and state-space models by Yang et al. (2015) <doi:10.1177/1471082X14535530>. They are also known as observation-driven and parameter-driven models respectively in the time series literature. The functions used for Markov regression or observation-driven models can also be used to fit ordinary regression models with independent data under the zero-inflated Poisson (ZIP) or zero-inflated negative binomial (ZINB) assumption. Besides, the package contains some miscellaneous functions to compute density, distribution, quantile, and generate random numbers from ZIP and ZINB distributions.
Author: Ming Yang [aut, cre], Gideon Zamba [aut], Joseph Cavanaugh [aut]
Maintainer: Ming Yang <hustyangming@gmail.com>

Diff between ZIM versions 1.1.0 dated 2018-08-28 and 1.1.2 dated 2026-06-03

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Package transreg updated to version 1.0.7 with previous version 1.0.6 dated 2026-04-10

Title: Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning')
Description: Improves the predictive performance of ridge and lasso regression exploiting one or more sources of prior information on the importance and direction of effects (Rauschenberger and others 2023, <doi:10.1093/bioinformatics/btad680>). For running the vignette (optional), install 'fwelnet' and 'ecpc' from <https://github.com/kjytay/fwelnet> and <https://github.com/Mirrelijn/ecpc>, respectively.
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

Diff between transreg versions 1.0.6 dated 2026-04-10 and 1.0.7 dated 2026-06-03

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Package starnet updated to version 1.0.2 with previous version 1.0.1 dated 2026-04-08

Title: Stacked Elastic Net
Description: Implements stacked elastic net regression (Rauschenberger 2021 <doi:10.1093/bioinformatics/btaa535>). The elastic net generalises ridge and lasso regularisation (Zou 2005 <doi:10.1111/j.1467-9868.2005.00503.x>). Instead of fixing or tuning the mixing parameter alpha, we combine multiple alpha by stacked generalisation (Wolpert 1992 <doi:10.1016/S0893-6080(05)80023-1>).
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

Diff between starnet versions 1.0.1 dated 2026-04-08 and 1.0.2 dated 2026-06-03

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Package sphunif updated to version 1.4.4 with previous version 1.4.3 dated 2025-11-09

Title: Uniformity Tests on the Circle, Sphere, and Hypersphere
Description: Implementation of uniformity tests on the circle and (hyper)sphere. The main function of the package is unif_test(), which conveniently collects more than 35 tests for assessing uniformity on S^{p-1} = {x in R^p : ||x|| = 1}, p >= 2. The test statistics are implemented in the unif_stat() function, which allows computing several statistics for different samples within a single call, thus facilitating Monte Carlo experiments. Furthermore, the unif_stat_MC() function allows parallelizing them in a simple way. The asymptotic null distributions of the statistics are available through the function unif_stat_distr(). The core of 'sphunif' is coded in C++ by relying on the 'Rcpp' package. The package also provides several novel datasets and gives the replicability for the data applications/simulations in García-Portugués et al. (2021) <doi:10.1007/978-3-030-69944-4_12>, García-Portugués et al. (2023) <doi:10.3150/21-BEJ1454>, Fernández-de-Marcos and García-Portugués (2024) <d [...truncated...]
Author: Eduardo Garcia-Portugues [aut, cre] , Thomas Verdebout [aut] , Alberto Fernandez-de-Marcos [ctb], Paula Navarro [ctb]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

Diff between sphunif versions 1.4.3 dated 2025-11-09 and 1.4.4 dated 2026-06-03

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Package spam64 updated to version 2.11-4 with previous version 2.10-0 dated 2023-10-17

Title: 64-Bit Extension of the SPArse Matrix R Package 'spam'
Description: Provides the Fortran code of the R package 'spam' with 64-bit integers. Loading this package together with the R package spam enables the sparse matrix class spam to handle huge sparse matrices with more than 2^31-1 non-zero elements. Documentation is provided in Gerber, Moesinger and Furrer (2017) <doi:10.1016/j.cageo.2016.11.015>.
Author: Reinhard Furrer [aut, cre] , Florian Gerber [aut] , Roman Flury [aut] , Daniel Gerber [ctb], Kaspar Moesinger [ctb], Youcef Saad [ctb] , Esmond G. Ng [ctb] , Barry W. Peyton [ctb] , Joseph W.H. Liu [ctb] , Alan D. George [ctb] , Lehoucq B. Rich [ctb] [...truncated...]
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

Diff between spam64 versions 2.10-0 dated 2023-10-17 and 2.11-4 dated 2026-06-03

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Package sociome updated to version 3.0.1 with previous version 3.0.0 dated 2026-01-10

Title: Operationalizing Social Determinants of Health Data for Researchers
Description: Accesses raw data via API and calculates social determinants of health measures for user-specified locations in the US, returning them in tidyverse- and sf-compatible data frames.
Author: Nik Krieger [aut, cre], Jarrod Dalton [aut], Cindy Wang [aut], Adam Perzynski [aut], National Institutes of Health/National Institute on Aging [fnd] . All of its contents are solely the responsibility of the authors and do not necessarily represent t [...truncated...]
Maintainer: Nik Krieger <nikkrieger@gmail.com>

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More information about sociome at CRAN
Permanent link

Package seqtrie updated to version 0.4.0 with previous version 0.3.5 dated 2025-10-20

Title: Radix Tree and Trie-Based String Distances
Description: A collection of Radix Tree and Trie algorithms for finding similar sequences and calculating sequence distances (Levenshtein and other distance metrics). This work was inspired by a trie implementation in Python: "Fast and Easy Levenshtein distance using a Trie." Hanov (2011) <https://stevehanov.ca/blog/index.php?id=114>. It also includes a modified version of the Starcode all-pairs search algorithm (Zorita, Cuscó, and Filion 2015) <doi:10.1093/bioinformatics/btv053>.
Author: Travers Ching [aut, cre, cph], Martin Moene [ctb, cph] , Steve Hanov [ctb] , Martin Leitner-Ankerl [ctb] , Eduard Zorita [ctb] , Pol Cusco [ctb] , Guillaume J. Filion [ctb]
Maintainer: Travers Ching <traversc@gmail.com>

Diff between seqtrie versions 0.3.5 dated 2025-10-20 and 0.4.0 dated 2026-06-03

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Package scpi updated to version 4.0.0 with previous version 3.0.2 dated 2026-03-06

Title: Synthetic Control Methods
Description: Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <doi:10.1080/01621459.2021.1979561> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2027) <doi:10.1162/rest_a_01588> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2025) <doi:10.18637/jss.v113.i01>.
Author: Matias D. Cattaneo [aut, cre], Yingjie Feng [aut], Filippo Palomba [aut], Rocio Titiunik [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

Diff between scpi versions 3.0.2 dated 2026-03-06 and 4.0.0 dated 2026-06-03

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Package SAMBA updated to version 1.0.0 with previous version 0.9.0 dated 2020-02-20

Title: Selection and Misclassification Bias Adjustment for Logistic Regression Models
Description: Health research using data from electronic health records (EHR) has gained popularity, but misclassification of EHR-derived disease status and lack of representativeness of the study sample can result in substantial bias in effect estimates and can impact power and type I error for association tests. Here, the assumed target of inference is the relationship between binary disease status and predictors modeled using a logistic regression model. 'SAMBA' implements several methods for obtaining bias-corrected point estimates along with valid standard errors as proposed in Beesley and Mukherjee (2020) <doi:10.1111/biom.13400>, Biometrics.
Author: Lauren Beesley [cre], Alexander Rix [aut]
Maintainer: Lauren Beesley <lbeesley@umich.edu>

Diff between SAMBA versions 0.9.0 dated 2020-02-20 and 1.0.0 dated 2026-06-03

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More information about SAMBA at CRAN
Permanent link

Package roperators updated to version 1.4.0 with previous version 1.3.14 dated 2023-07-20

Title: Additional Operators to Help You Write Cleaner R Code
Description: A set of additional operators and helper functions to make R code easier to read, write, and maintain. Includes string arithmetic (such as 'foo' + 'bar'), in-place reassignment operators (such as x += 1), logical operators that handle missing values, floating-point and strict ('JavaScript'-style) equality tests, 'between' operators, and 'SQL'-style pattern matching. Also provides convenience helpers for type conversion, operating-system checks, complete-cases statistics, and string manipulation, such as Oxford-comma pasting and extracting the first, last, n-th, or most common element of a vector or word in a string. The goal is to give R users, particularly those coming from other languages such as 'Python', a friendlier and more consistent syntax.
Author: Ben Wiseman [cre, aut, ccp], Steven Nydick [aut, ccp] , Jeff Jones [aut, led]
Maintainer: Ben Wiseman <benjamin.h.wiseman@gmail.com>

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Package RCurl updated to version 1.98-1.19 with previous version 1.98-1.18 dated 2026-03-21

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: CRAN Team [ctb] , Duncan Temple Lang [aut] , Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@disroot.org>

Diff between RCurl versions 1.98-1.18 dated 2026-03-21 and 1.98-1.19 dated 2026-06-03

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Package qs2 updated to version 0.2.2 with previous version 0.2.1 dated 2026-05-04

Title: Efficient Serialization of R Objects
Description: Streamlines and accelerates the process of saving and loading R objects, improving speed and compression compared to other methods. The package provides two compression formats: the 'qs2' format, which uses R serialization via the C API while optimizing compression and disk I/O, and the 'qdata' format, featuring custom serialization for slightly faster performance and better compression. Additionally, the 'qs2' format can be directly converted to the standard 'RDS' format, ensuring long-term compatibility with future versions of R.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Francesc Alted [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

Diff between qs2 versions 0.2.1 dated 2026-05-04 and 0.2.2 dated 2026-06-03

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Package PFCI updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-02

Title: Penalized Fast Causal Inference for High-Dimensional Structure Learning
Description: Implements Penalized Fast Causal Inference (PFCI), a two-stage causal structure learning procedure for high-dimensional settings with potential latent variables and selection bias. In the first stage, neighborhood selection via the Lasso constructs a sparse undirected skeleton. In the second stage, the Fast Causal Inference (FCI) algorithm orients edges on this reduced graph, producing a Partial Ancestral Graph (PAG) that accounts for latent confounders. The method is consistent under sparsity assumptions and substantially faster than standard FCI and RFCI in high dimensions. See Pal, Ghosh, and Yang (2025) <doi:10.48550/arXiv.2507.00173> for the underlying theory.
Author: Samhita Pal [aut] , Dhrubajyoti Ghosh [aut, cre] , Shu Yang [aut]
Maintainer: Dhrubajyoti Ghosh <dghosh3@kennesaw.edu>

Diff between PFCI versions 0.1.0 dated 2026-06-02 and 0.1.1 dated 2026-06-03

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Package pathling updated to version 9.7.1 with previous version 9.7.0 dated 2026-05-30

Title: A Library for using 'Pathling'
Description: R API for 'Pathling', a tool for querying and transforming electronic health record data that is represented using the 'Fast Healthcare Interoperability Resources' (FHIR) standard - see <https://pathling.csiro.au/docs>.
Author: Australian e-Health Research Centre, CSIRO [cph, cre], Piotr Szul [aut], John Grimes [aut]
Maintainer: "Australian e-Health Research Centre, CSIRO" <pathling@csiro.au>

Diff between pathling versions 9.7.0 dated 2026-05-30 and 9.7.1 dated 2026-06-03

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Package nonmemica updated to version 1.2.0 with previous version 1.0.11 dated 2024-10-25

Title: Create and Evaluate NONMEM Models in a Project Context
Description: Systematically creates and modifies NONMEM(R) control streams. Harvests NONMEM output, builds run logs, creates derivative data, generates diagnostics. NONMEM (ICON Development Solutions <https://www.iconplc.com/>) is software for nonlinear mixed effects modeling. See 'package?nonmemica'.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package nominatimlite updated to version 0.6.0 with previous version 0.5.0 dated 2026-03-18

Title: Interface to the 'Nominatim' API
Description: Lightweight interface to the 'OpenStreetMap' 'Nominatim' API <https://nominatim.org/release-docs/latest/>. Extract coordinates from addresses, retrieve addresses from coordinates, look up amenities and addresses, and return results as 'tibble' or 'sf' objects.
Author: Diego Hernangomez [aut, cre, cph] , Jindra Lacko [ctb, rev] , Alex White [ctb], OpenStreetMap [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between nominatimlite versions 0.5.0 dated 2026-03-18 and 0.6.0 dated 2026-06-03

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Package nlmixr2est updated to version 6.0.1 with previous version 6.0.0 dated 2026-05-31

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

Diff between nlmixr2est versions 6.0.0 dated 2026-05-31 and 6.0.1 dated 2026-06-03

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Package limSolve updated to version 2.0.2 with previous version 2.0.1 dated 2025-06-24

Title: Solving Linear Inverse Models
Description: Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems.
Author: Karline Soetaert [aut, cre], Karel Van den Meersche [aut], Dick van Oevelen [aut], Charles L. Lawson [ctb] , Richard J. Hanson [ctb] , Jack Dongarra [ctb] , Cleve Moler [ctb]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

Diff between limSolve versions 2.0.1 dated 2025-06-24 and 2.0.2 dated 2026-06-03

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More information about limSolve at CRAN
Permanent link

Package ggsql updated to version 0.3.3 with previous version 0.3.2 dated 2026-05-27

Title: Grammar of Graphics for SQL
Description: Allows you to write queries that combine SQL (Structured Query Language) data retrieval with visualization specifications in a single, composable syntax. The 'ggsql' package binds directly with the 'ggsql' 'Rust' library and allows you to set up readers and writers and execute queries against it. The package also offers 'knitr' and 'shiny' integration allowing the user to use 'ggsql' in both frameworks.
Author: Thomas Lin Pedersen [aut, cre] , George Stagg [aut] , Teun van den Brand [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Permanent link

Package depmixS4 updated to version 1.5-2 with previous version 1.5-1 dated 2025-05-11

Title: Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4
Description: Fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models, see Visser & Speekenbrink (2010, <DOI:10.18637/jss.v036.i07>).
Author: Ingmar Visser [aut, cre], Maarten Speekenbrink [aut]
Maintainer: Ingmar Visser <i.visser@uva.nl>

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Permanent link

Package dataset updated to version 0.4.5 with previous version 0.4.4 dated 2026-05-18

Title: Create Data Frames for Exchange and Reuse
Description: The 'dataset' package extends tidy data frames with machine-readable metadata, semantic definitions, and provenance information. It supports incremental semantic stabilization, interoperable dataset exchange, and FAIR-oriented publication workflows by preserving contextual metadata directly within R objects. The package facilitates the creation, exchange, reuse, and RDF serialization of datasets in line with ISO and W3C standards.
Author: Daniel Antal [aut, cre] , Marcelo Perlin [rev] , Anna Marta Mester [rev] , Mauro Lepore [rev]
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>

Diff between dataset versions 0.4.4 dated 2026-05-18 and 0.4.5 dated 2026-06-03

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More information about dataset at CRAN
Permanent link

Package crane updated to version 0.3.2 with previous version 0.3.1 dated 2026-01-21

Title: Supplements the 'gtsummary' Package for Pharmaceutical Reporting
Description: Tables summarizing clinical trial results are often complex and require detailed tailoring prior to submission to a health authority. The 'crane' package supplements the functionality of the 'gtsummary' package for creating these often highly bespoke tables in the pharmaceutical industry.
Author: Daniel D. Sjoberg [aut] , Emily de la Rua [aut] , Davide Garolini [aut] , Chi Zhang [aut] , Abinaya Yogasekaram [ctb] , Joe Zhu [cre] , Jan Szczypinski [aut] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between crane versions 0.3.1 dated 2026-01-21 and 0.3.2 dated 2026-06-03

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More information about crane at CRAN
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Package arcpullr updated to version 0.3.5 with previous version 0.3.2 dated 2025-12-12

Title: Pull Data from an 'ArcGIS REST' API
Description: Functions to efficiently query 'ArcGIS REST' APIs <https://developers.arcgis.com/rest/>. Both spatial and SQL queries can be used to retrieve data. Simple Feature (sf) objects are utilized to perform spatial queries. This package was neither produced nor is maintained by Esri.
Author: Paul Frater [aut, cre] , Zac Driscoll [aut]
Maintainer: Paul Frater <paul.frater@wisconsin.gov>

Diff between arcpullr versions 0.3.2 dated 2025-12-12 and 0.3.5 dated 2026-06-03

 DESCRIPTION                     |    6 
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 man/get_layers_by_spatial.Rd    |    9 +
 vignettes/spatial_queries.Rmd   |    4 
 11 files changed, 293 insertions(+), 186 deletions(-)

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Package arcgeocoder updated to version 0.4.1 with previous version 0.4.0 dated 2026-03-20

Title: Geocoding with the 'ArcGIS' REST API Service
Description: Lightweight interface for converting addresses into geographic coordinates and coordinates into addresses using the 'ArcGIS' REST API service <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>. Address text can be converted to location candidates and locations can be converted into addresses. No API key is required.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between arcgeocoder versions 0.4.0 dated 2026-03-20 and 0.4.1 dated 2026-06-03

 DESCRIPTION                                       |   22 
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 NEWS.md                                           |   32 -
 R/arc_geo.R                                       |  145 ++---
 R/arc_geo_categories.R                            |  568 ++++++++++------------
 R/arc_geo_multi.R                                 |  508 +++++++++----------
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 README.md                                         |  126 ++--
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 tests/testthat/test-arc_reverse_geo.R             |  451 +++++++++--------
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 52 files changed, 3391 insertions(+), 3237 deletions(-)

More information about arcgeocoder at CRAN
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Package rerddapUtils (with last version 1.0.1) was removed from CRAN

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

2026-05-21 1.0.1
2026-05-19 1.0.0

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