Wed, 24 Jun 2026

Package glasstabs updated to version 0.3.3 with previous version 0.3.2 dated 2026-05-23

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

Diff between glasstabs versions 0.3.2 dated 2026-05-23 and 0.3.3 dated 2026-06-24

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Package readyomics updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-20

Title: Ready-to-Use Omics Formatting, Analysis, and Visualization Pipeline
Description: Provides a flexible and streamlined pipeline for formatting, analyzing, and visualizing omics data, regardless of omics type (e.g. transcriptomics, proteomics, metabolomics). The package includes tools for shaping input data into analysis-ready structures, fitting linear or mixed-effect models, extracting key contrasts, and generating a rich variety of ready-to-use publication-quality plots. Designed for transparency and reproducibility across a wide range of study designs, with customizable components for statistical modeling.
Author: Laura Martinez-Gili [cre, aut, cph]
Maintainer: Laura Martinez-Gili <martinez.gili.laura@gmail.com>

Diff between readyomics versions 0.2.0 dated 2025-10-20 and 0.2.1 dated 2026-06-24

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Package pensar updated to version 0.6.4 with previous version 0.6.3 dated 2026-05-19

Title: LLM Wiki Engine
Description: Personal wiki engine with a large language model (LLM) as research assistant. Supports guided sessions through a 'Claude Code' <https://github.com/anthropics/claude-code> skill bundle and autonomous research runs from R via autoresearch(). Results land in a structured vault of markdown pages with 'YAML' frontmatter and wikilinks, ready for hand-editing in your favourite editor alongside the LLM. Vaults are seeded with 'CLAUDE.md' and 'AGENTS.md' so 'Claude Code', 'Codex' <https://github.com/openai/codex>, and other agents share the same operating instructions. Can adopt an existing 'Obsidian' <https://obsidian.md/> vault in place via init_vault(adopt = TRUE).
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package fable.intermittent updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-18

Title: Forecasting Models for Intermittent Time Series
Description: Extends the 'fable' framework to support forecasting methods specifically designed for intermittent time series data, where demand occurs sporadically with many zero values. All methods produce probabilistic forecasts returned as 'distributional' objects. The returned forecasts can be used to evaluate accuracy, plot and print the results seamlessly with 'fable'. The methods include: Harvey, Fernandes (1989) <doi:10.1080/07350015.1989.10509750>, Willemain, Smart, Schwarz (2004) <doi:10.1016/S0169-2070(03)00013-X>, Zhou, Viswanathan (2011) <doi:10.1016/j.ijpe.2010.09.021>, Snyder, Ord, Beaumont (2012) <doi:10.1016/j.ijforecast.2011.03.009>, Kolassa (2016) <doi:10.1016/j.ijforecast.2015.12.004>, Hasni, Aguir, Babai, Jemai (2019) <doi:10.1080/00207543.2018.1424375>, Damato, Azzimonti, Corani (2025) <doi:10.1016/j.ijforecast.2025.10.001>, Sbrana (2025) <doi:10.1080/01605682.2025.2569661>.
Author: Stefano Damato [aut, cre, cph] , Lorenzo Zambon [aut] , Dario Azzimonti [aut]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>

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More information about fable.intermittent at CRAN
Permanent link

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

Title: Base R Code Formatter
Description: A minimal R code formatter following base R style conventions. Formats R code with consistent spacing, indentation, and structure.
Author: Troy Hernandez [aut, cre] , Dirk Eddelbuettel [ctb] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package okBATHTUB updated to version 0.1.11 with previous version 0.1.10 dated 2026-05-29

Title: Empirical Reservoir Eutrophication Modelling with Oklahoma Calibration
Description: Empirical reservoir water quality modelling using Walker's 'BATHTUB' Model 1 (second-order available-phosphorus sedimentation) from Walker (1985) <https://hdl.handle.net/11681/13884> and Walker (1996) <https://hdl.handle.net/11681/4353> as the default retention model. The Vollenweider (1976) hydraulic- residence form and the equivalent formulation of Larsen and Mercier (1976) are available as alternatives. Predicts in-lake total phosphorus, total nitrogen, chlorophyll-a, and Secchi depth from tributary nutrient and hydraulic loading inputs, and computes Carlson (1977) <doi:10.4319/lo.1977.22.2.0361> Trophic State Indices. Optional Oklahoma-specific chlorophyll and Secchi regression coefficients are provided, calibrated from publicly available state lake monitoring data. Supports single-segment and multi-segment reservoir configurations and load-reduction scenario analysis. Designed to complement watershed loading models such as the Soil and Water Assessment Tool ('SWA [...truncated...]
Author: Jordon Henderson [aut, cre, cph]
Maintainer: Jordon Henderson <jordon.henderson@owrb.ok.gov>

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More information about okBATHTUB at CRAN
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Package gpboost updated to version 1.6.8 with previous version 1.6.7 dated 2026-04-27

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.6.7 dated 2026-04-27 and 1.6.8 dated 2026-06-24

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Package vigicaen updated to version 2.0.0 with previous version 1.0.0 dated 2026-02-06

Title: 'VigiBase' Pharmacovigilance Database Toolbox
Description: Perform the analysis of the World Health Organization (WHO) Pharmacovigilance database 'VigiBase' (Extract Case Level version), <https://who-umc.org/> e.g., load data, perform data management, disproportionality analysis, and descriptive statistics. Intended for pharmacovigilance routine use or studies. This package is NOT supported nor reflect the opinion of the WHO, or the Uppsala Monitoring Centre. Disproportionality methods are described by Norén et al (2013) <doi:10.1177/0962280211403604>.
Author: Charles Dolladille [aut, cre] , Basile Chretien [aut] , Universite de Caen Normandie [cph] , Unite de pharmaco-epidemiologie [cph]
Maintainer: Charles Dolladille <cdolladille@hotmail.com>

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Package tinyrox updated to version 0.4.0 with previous version 0.3.3 dated 2026-04-15

Title: Minimal R Documentation Generator
Description: A deterministic, dependency-free documentation generator for R packages. Generates valid Rd files and NAMESPACE from 'roxygen2'-style comments using only base R. Supports a strict subset of tags with no markdown parsing, no inference magic, and explicit-only behavior.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package tinypkgr updated to version 0.2.2 with previous version 0.2.1 dated 2026-04-22

Title: Minimal R Package Development Utilities
Description: Lightweight wrappers around 'R CMD INSTALL', 'R CMD check', 'R CMD build', 'win-builder' uploads, and 'CRAN' submission. Provides functions for installing, loading, checking, building, and submitting R packages with minimal dependencies (only 'curl' for uploads). Background on R package development is in Wickham and Bryan (2023, ISBN:9781098134945), "Writing R Extensions" <https://cran.r-project.org/doc/manuals/R-exts.html>, and the 'CRAN' Repository Policy <https://cran.r-project.org/web/packages/policies.html>.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package statuser updated to version 0.3.1 with previous version 0.3.0 dated 2026-05-20

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

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Package Rpcop readmission to version 1.2.3 with previous version 1.1 dated 2023-07-16

Title: Principal Curves of Oriented Points
Description: Principal curves generalize the notion of a first principal component to the case in which it is a nonlinear smooth curve. This package provides a function pcop(X) to compute principal curves with the algorithm defined in Delicado (2001) <doi:10.1006/jmva.2000.1917> from a data matrix X.
Author: Pedro Delicado [aut] , Mario Huerta [aut] , Kevin Michael Frick [trl, aut, cre] , Stephen L. Moshier [cph] for symmetric matrix eigendecomposition)
Maintainer: Kevin Michael Frick <kmfrick@proton.me>

This is a re-admission after prior archival of version 1.1 dated 2023-07-16

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Package Rdiagnosislist readmission to version 1.5.1 with previous version 1.4.0 dated 2025-01-29

Title: Manipulate SNOMED CT Diagnosis Lists
Description: Functions and methods for manipulating 'SNOMED CT' concepts. The package contains functions for loading the 'SNOMED CT' release into a convenient R environment, selecting 'SNOMED CT' concepts using regular expressions, and navigating the 'SNOMED CT' ontology. It provides the 'SNOMEDconcept' S3 class for a vector of 'SNOMED CT' concepts (stored as 64-bit integers) and the 'SNOMEDcodelist' S3 class for a table of concepts IDs with descriptions. The package can be used to construct sets of 'SNOMED CT' concepts for research (<doi:10.1093/jamia/ocac158>). For more information about 'SNOMED CT' visit <https://www.snomed.org/>.
Author: Anoop D. Shah [aut, cre]
Maintainer: Anoop D. Shah <anoop@doctors.org.uk>

This is a re-admission after prior archival of version 1.4.0 dated 2025-01-29

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Package MplusAutomation updated to version 1.3 with previous version 1.2 dated 2025-09-02

Title: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus
Description: Leverages the R language to automate latent variable model estimation and interpretation using 'Mplus', a powerful latent variable modeling program developed by Muthen and Muthen (<https://www.statmodel.com>). Specifically, this package provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
Author: Michael Hallquist [aut, cre], Joshua Wiley [aut], Caspar van Lissa [ctb], Daniel Morillo [ctb]
Maintainer: Michael Hallquist <michael.hallquist@gmail.com>

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Package MCMChybridGP readmission to version 7.0.1 with previous version 5.4 dated 2020-11-12

Title: Hybrid Markov Chain Monte Carlo Using Gaussian Processes
Description: Hybrid Markov chain Monte Carlo (MCMC) for sampling from multimodal target distributions when derivatives are unavailable. A Gaussian process approximation is used to emulate derivatives, enabling efficient exploration with parallel tempering. The method is described in Fielding, Nott and Liong (2011) <doi:10.1198/TECH.2010.09195>. The research was carried out as part of the Singapore-Delft Water Alliance Multi-Objective Multi-Reservoir Management programme (R-264-001-272).
Author: Mark J. Fielding [aut, cre]
Maintainer: Mark J. Fielding <mark.fielding@gmx.com>

This is a re-admission after prior archival of version 5.4 dated 2020-11-12

Diff between MCMChybridGP versions 5.4 dated 2020-11-12 and 7.0.1 dated 2026-06-24

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Package dtComb updated to version 1.0.8 with previous version 1.0.7 dated 2025-03-30

Title: Statistical Combination of Diagnostic Tests
Description: A system for combining two diagnostic tests using various approaches that include statistical and machine-learning-based methodologies. These approaches are divided into four groups: linear combination methods, non-linear combination methods, mathematical operators, and machine learning algorithms. See the <https://biotools.erciyes.edu.tr/dtComb/> website for more information, documentation, and examples.
Author: Serra Ilayda Yerlitas Tastan [aut, ctb], Serra Bersan Gengec [aut, ctb], Necla Kochan [aut, ctb], Gozde Erturk Zararsiz [aut, ctb], Selcuk Korkmaz [aut, ctb], Gokmen Zararsiz [aut, ctb, cre]
Maintainer: Gokmen Zararsiz <gokmen.zararsiz@gmail.com>

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Package muttest updated to version 0.2.1 with previous version 0.2.0 dated 2026-05-14

Title: Mutation Testing
Description: Measure quality of your tests. 'muttest' introduces small changes (mutations) to your code and runs your tests to check if they catch the changes. If they do, your tests are good. If not, your assertions are not specific enough. 'muttest' gives you percent score of how often your tests catch the changes.
Author: Jakub Sobolewski [aut, cre]
Maintainer: Jakub Sobolewski <jakupsob@gmail.com>

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Package freestiler updated to version 0.2.0 with previous version 0.1.7 dated 2026-05-12

Title: Create Vector Tiles from Spatial Data
Description: Create vector tile archives in 'PMTiles' format from 'sf' spatial data frames. Supports 'Mapbox Vector Tile' ('MVT') and 'MapLibre Tile' ('MLT') output formats. Uses a 'Rust' backend via 'extendr' for fast, in-memory tiling with zero external system dependencies.
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package dsmSearch readmission to version 1.2.4 with previous version 1.2.2 dated 2025-10-24

Title: DSM and LiDAR Downloader
Description: A collection of functions to search and download DSM (Digital Surface Model) and LiDAR (Light Detection and Ranging) data via APIs, including 'OpenTopography' <https://portal.opentopography.org/apidocs/> and 'TNMAccess' <https://apps.nationalmap.gov/tnmaccess/#/>.
Author: Xiaohao Yang [aut, cre, cph], Nathan Fox [aut], Derek Van Berkel [aut], Mark Lindquist [aut]
Maintainer: Xiaohao Yang <xiaohaoy@umich.edu>

This is a re-admission after prior archival of version 1.2.2 dated 2025-10-24

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Package imp4p updated to version 1.3 with previous version 1.2 dated 2021-09-02

Title: Imputation for Proteomics
Description: Functions to analyse missing value mechanisms and to impute data sets in the context of bottom-up MS-based proteomics.
Author: Quentin Giai Gianetto [aut, cre], Samuel Wieczorek [ctb], Yohann Coute [ctb], Thomas Burger [aut]
Maintainer: Quentin Giai Gianetto <quentin.giaigianetto@pasteur.fr>

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Package alphavantagepf updated to version 0.8.1 with previous version 0.8.0 dated 2026-06-22

Title: Comprehensive R Wrapper and Shiny Interface for 'Alphavantage Financial Data' API
Description: Download, manage, and visualize via Shiny App 'Alphavantage financial data' <https://www.alphavantage.co/documentation/>. Data is downloaded and organized into `data.table` objects using a single calling function with optional helper functions to extract and simplify more complex data. A Shiny interface is also provided to download, manage, and graph asset prices and characteristics.
Author: Derek Holmes [aut, cre, cph]
Maintainer: Derek Holmes <derek@derekholmes.com>

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Package Rogue updated to version 2.2.1 with previous version 2.2.0 dated 2026-03-25

Title: Identify Rogue Taxa in Sets of Phylogenetic Trees
Description: Rogue ("wildcard") taxa are leaves with uncertain phylogenetic position. Their position may vary from tree to tree under inference methods that yield a tree set (e.g. bootstrapping, Bayesian tree searches, maximum parsimony). The presence of rogue taxa in a tree set can potentially remove all information from a consensus tree. The information content of a consensus tree - a function of its resolution and branch support values - can often be increased by removing rogue taxa. 'Rogue' provides an explicitly information-theoretic approach to rogue detection (Smith 2022) <doi:10.1093/sysbio/syab099>, and an interface to 'RogueNaRok' (Aberer et al. 2013) <doi:10.1093/sysbio/sys078>.
Author: Martin R. Smith [aut, cre, cph] , Andre J. Aberer [aut, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package kardl updated to version 2.0.2 with previous version 1.3.1 dated 2026-04-30

Title: Make Symmetric and Asymmetric ARDL Estimations
Description: Implements estimation procedures for Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both short- and long-run relationships in time series data under mixed orders of integration. The package supports simultaneous modeling of symmetric and asymmetric regressors, flexible treatment of short-run and long-run asymmetries, and automated equation handling. It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F and t bounds tests, and narayan test. Methodological foundations are provided in Pesaran, Shin, and Smith (2001) <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).
Author: Huseyin karamelikli [aut, cre] , Huseyin Utku Demir [aut]
Maintainer: Huseyin karamelikli <hakperest@gmail.com>

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 kardl-2.0.2/kardl/tests/testthat/test-tests.R                  |  187 
 kardl-2.0.2/kardl/tests/testthat/test-utils.R                  |   96 
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Package interplot updated to version 1.2.0 with previous version 0.2.3 dated 2021-02-18

Title: Plot the Effects of Variables in Interaction Terms
Description: Plots the conditional coefficients ("marginal effects") of variables included in multiplicative interaction terms.
Author: Frederick Solt [aut], Yue Hu [aut, cre], Brenton Kenkel [ctb]
Maintainer: Yue Hu <yuehu@tsinghua.edu.cn>

Diff between interplot versions 0.2.3 dated 2021-02-18 and 1.2.0 dated 2026-06-24

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 32 files changed, 3555 insertions(+), 2470 deletions(-)

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New package TwoCutoff with initial version 0.1.0
Package: TwoCutoff
Title: Deriving Clinically Interpretable Cutoffs for Disease Biomarkers
Version: 0.1.0
Maintainer: Bhrigu Kumar Rajbongshi <kumarbhrigu536@gmail.com>
Description: Provides a reproducible pipeline for deriving two clinically meaningful cutoffs for disease biomarkers using a unified two-stage framework. The package integrates finite mixture modeling with risk prediction using biomarker plus clinical features, followed by decision curve analysis to evaluate clinical utility. Outputs include biomarker density plots, risk calibration curves, decision curves, and summary tables of diagnostic performance. Designed for researchers in bio-statistics, neurology, and data science, this package emphasizes reproducibility, transparency, and clear clinical relevance.
Imports: dplyr, mixtools, stats, pROC, xgboost, ggplot2, caret, patchwork, gridExtra
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
NeedsCompilation: no
Suggests: rmarkdown, DiagrammeR, knitr, devtools
VignetteBuilder: knitr
Author: Bhrigu Kumar Rajbongshi [aut, cre, ctb], Seyed Ehsan Saffari [aut, ctb], Nastaran Marzban [aut, ctb]
Packaged: 2026-06-20 14:38:03 UTC; bhrigu
Repository: CRAN
Date/Publication: 2026-06-24 10:00:13 UTC

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New package productshotaiR with initial version 0.1.0
Package: productshotaiR
Title: Product Photo Planning Helpers
Version: 0.1.0
Description: Helpers for preparing ecommerce product photo planning tables, prompt sheets, and public ProductShot AI workflow URLs. The package works offline and focuses on data-frame preparation for product image batches.
License: MIT + file LICENSE
URL: https://productshotai.app, https://github.com/bbwdadfg/productshotai-site-kit
BugReports: https://github.com/bbwdadfg/productshotai-site-kit/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-20 15:15:42 UTC; baiwei
Author: Baiwei Chu [aut, cre]
Maintainer: Baiwei Chu <baiwei.chu@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 10:00:02 UTC

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Package MRG updated to version 0.3.29 with previous version 0.3.25 dated 2026-02-26

Title: Create Non-Confidential Multi-Resolution Grids
Description: The need for anonymization of individual survey responses often leads to many suppressed grid cells in a regular grid. Here we provide functionality for creating multi-resolution gridded data, respecting the confidentiality rules, such as a minimum number of units and dominance by one or more units for each grid cell. The functions also include the possibility for contextual suppression of data. For more details see Skoien et al. (2025) <doi:10.48550/arXiv.2410.17601>.
Author: Jon Olav Skoien [aut, cre], Nicolas Lampach [aut]
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>

Diff between MRG versions 0.3.25 dated 2026-02-26 and 0.3.29 dated 2026-06-24

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 25 files changed, 416 insertions(+), 110 deletions(-)

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New package moderncor with initial version 0.2.0
Package: moderncor
Title: Unified Interface for Modern and Classical Correlation Coefficients
Version: 0.2.0
Description: Provides a single unified interface for computing a wide variety of classical and modern correlation and association measures. Continuous methods include classical correlations (Pearson, Spearman, Kendall), modern dependence measures (distance correlation, maximal information coefficient, Hilbert-Schmidt independence criterion, Chatterjee's xi, Hoeffding's D, mutual information), robust correlations (biweight midcorrelation, percentage bend, Winsorized), ordinal correlations (polychoric, tetrachoric), partial and semi-partial correlations, and nonparametric measures (ball correlation, Bergsma-Dassios tau*). Categorical association measures (Cramer's V, phi coefficient, Goodman-Kruskal gamma, Somers' D, contingency coefficient, Tschuprow's T) are available via moderncor_cat().
License: GPL-3
URL: https://github.com/ToshihiroIguchi/moderncor
BugReports: https://github.com/ToshihiroIguchi/moderncor/issues
Encoding: UTF-8
Imports: stats, energy, XICOR
Suggests: minerva, Hmisc, dHSIC, infotheo, WRS2, psych, ppcor, Ball, TauStar, DescTools, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-20 11:46:22 UTC; toshi
Author: Toshihiro Iguchi [aut, cre]
Maintainer: Toshihiro Iguchi <toshihiro.iguchi.github@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 09:50:02 UTC

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New package locdiff with initial version 1.4
Package: locdiff
Title: Local Diffusion Exponent
Version: 1.4
Maintainer: Chun-Xiao Nie <niechunxiao2009@163.com>
Description: The local diffusion exponent for undirected, unweighted networks characterizes the speed of local diffusion from a specified node and depends on the resistance distance.
License: GPL-3
Encoding: UTF-8
Depends: igraph, MASS
NeedsCompilation: no
Packaged: 2026-06-20 10:31:45 UTC; niech
Author: Chun-Xiao Nie [aut, cre]
Repository: CRAN
Date/Publication: 2026-06-24 09:50:07 UTC

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New package ivgls with initial version 0.1.0
Package: ivgls
Title: Network-Aware IV Regression with Graph-Fused Lasso
Version: 0.1.0
Description: Implements network-aware instrumental variable regression for causal node discovery in high-dimensional settings with graph-structured exposures. Provides IVGL and IVGL-S estimators combining graph-Laplacian penalization with IV-based identification, including correction for invalid instruments via a sisVIVE-style update. Methods are described in Pal and Ghosh (2026) <doi:10.48550/arXiv.2604.24969>. The 'glmgraph' package, required for the main estimators, is available at the additional repository <https://djghosh1123.r-universe.dev>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet, MASS, igraph
Suggests: knitr, glmgraph, rmarkdown, testthat (>= 3.0.0), ggplot2, spelling
Additional_repositories: https://djghosh1123.r-universe.dev
VignetteBuilder: knitr
URL: https://github.com/djghosh1123/ivgls
BugReports: https://github.com/djghosh1123/ivgls/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-20 02:10:10 UTC; dghosh3
Author: Dhrubajyoti Ghosh [aut, cre] , Samhita Pal [aut]
Maintainer: Dhrubajyoti Ghosh <dghosh3@kennesaw.edu>
Repository: CRAN
Date/Publication: 2026-06-24 09:30:02 UTC

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New package hypergraph.sizing with initial version 1.0.0
Package: hypergraph.sizing
Title: Hypergraph-Based Sizing Function for Generalised Linear Step-Up Method
Version: 1.0.0
Description: Calculates a sizing function based on the number of independent sets in the rejected hypergraph (Organ, Kenney & Gu, 2026, <doi:10.48550/arXiv.2606.20514>). The sizing function is designed to be used with the 'GLSUP' package.
Depends: R (>= 3.2.3)
License: GPL-3
Encoding: UTF-8
Imports: utils,stats
Enhances: GLSUP
NeedsCompilation: yes
Maintainer: Toby Kenney <tkenney@mathstat.dal.ca>
Packaged: 2026-06-19 20:36:29 UTC; tkenney
Author: Toby Kenney [aut, cre]
Repository: CRAN
Date/Publication: 2026-06-24 09:30:07 UTC

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New package drlate with initial version 0.3.1
Package: drlate
Title: Doubly Robust Estimation of Local Average Treatment Effects
Version: 0.3.1
Description: Estimates the local average treatment effect (LATE) and the local average treatment effect on the treated (LATT) using observational data with a binary instrument, implementing the complete estimator suite of Sloczynski, Uysal, and Wooldridge: the doubly robust estimators of Sloczynski, Uysal, and Wooldridge (2022) <doi:10.48550/arXiv.2208.01300> -- inverse probability weighted regression adjustment (IPWRA), inverse probability weighting (IPW), augmented inverse probability weighting (AIPW), and regression adjustment (RA) -- and the Abadie-kappa weighting estimators of Sloczynski, Uysal, and Wooldridge (2025) <doi:10.1080/07350015.2024.2332763>. Supports linear, logistic, probit, Poisson, and fractional (fractional-logit and fractional-probit) outcome and treatment models, and instrument propensity scores estimated by maximum likelihood, covariate balancing (CBPS), or inverse probability tilting (IPT). Standard errors are computed jointly for all estimation stages by stacki [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: stats, numDeriv
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown, haven
VignetteBuilder: knitr
URL: https://github.com/kvenkita/drlate, https://kvenkita.github.io/drlate/
BugReports: https://github.com/kvenkita/drlate/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-20 14:14:49 UTC; kyle
Author: Kailas Venkitasubramanian [aut, cre], S. Derya Uysal [ctb, cph] , Tymon Sloczynski [ctb, cph] , Jeffrey M. Wooldridge [ctb, cph]
Maintainer: Kailas Venkitasubramanian <kailasv@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 09:50:12 UTC

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New package CRBHSF with initial version 0.1.0
Package: CRBHSF
Title: Cyber-Resilient Bayesian Healthcare Surveillance Framework
Version: 0.1.0
Description: Provides methods for healthcare performance surveillance using Bayesian risk estimation, latent organisational trust modelling, cyber-resilience assessment, external validation, decision-theoretic optimisation, and digital-twin deployment simulation. The package supports prospective deterioration monitoring, uncertainty-aware risk assessment, intervention prioritisation, ablation analysis, and operational evaluation for healthcare performance management and health system resilience research. The methodological framework is informed by contemporary guidance on prediction model development and validation (Efthimiou et al., 2024 <doi:10.1136/bmj-2023-078276>), transparent reporting of prediction models (Collins et al., 2024 <doi:10.1136/bmj-2023-078378>), and decision-analytic model evaluation (Vickers and Elkin, 2006 <doi:10.1177/0272989X06295361>).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/zerish12/CRBHSF
BugReports: https://github.com/zerish12/CRBHSF/issues
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, pROC, purrr, tibble
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-06-20 14:26:28 UTC; muhammadzahirkhan
Author: Muhammad Zahir Khan [aut, cre], Abdul Wahid Khan [aut]
Maintainer: Muhammad Zahir Khan <zahirstat007@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 09:50:27 UTC

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New package bewrs with initial version 0.1.1
Package: bewrs
Title: Bayesian Early-Warning Risk Surveillance for Healthcare Performance Monitoring
Version: 0.1.1
Description: Provides Bayesian early-warning surveillance methods for monitoring healthcare performance and patient safety outcomes. The package draws on risk-adjusted monitoring frameworks developed by Steiner et al. (2000) <doi:10.1093/biostatistics/1.4.441>, Spiegelhalter et al. (2003) <doi:10.1002/sim.1546>, Cook et al. (2011) <doi:10.1136/bmjqs.2008.031831>, and Neuburger et al. (2017) <doi:10.1136/bmjqs-2016-005511>. The package implements Bayesian predictive modelling, risk-adjusted monitoring, early-warning signal detection, and graphical tools for continuous quality improvement and healthcare performance assessment.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: ggplot2, pROC
Suggests: testthat (>= 3.0.0)
URL: https://github.com/zerish12/bewrs
BugReports: https://github.com/zerish12/bewrs/issues
NeedsCompilation: no
Packaged: 2026-06-20 15:22:09 UTC; muhammadzahirkhan
Author: Muhammad Zahir Khan [aut, cre]
Maintainer: Muhammad Zahir Khan <zahirstat007@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 10:00:07 UTC

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New package beautils with initial version 0.2.0
Package: beautils
Title: Field Planning and Biostatistics Utilities
Version: 0.2.0
Maintainer: Tiago Olivoto <tiagoolivoto@gmail.com>
Description: Provides a collection of utility functions for biostatistics, agricultural trial planning, and experimental design. Key features include generating experimental designs (like Latin Square, Alpha-Lattice by Patterson and Williams (1976) <doi:10.2307/2335087>, and Factorial), fieldbook creation, layout sketching, QR code-based label generation, and descriptive statistical tools to easily handle most common descriptive statistics for quantitative variables as described by Field, A., Miles, J., & Field, Z. (2012, ISBN:978-1-4462-0045-2).
Encoding: UTF-8
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: cli, dplyr, FielDHub, ggplot2, glue, grid, purrr, qrencoder, rlang, rstudioapi, tidyr, uuid
NeedsCompilation: no
Packaged: 2026-06-19 17:02:00 UTC; tiago
Author: Tiago Olivoto [aut, cre]
Repository: CRAN
Date/Publication: 2026-06-24 09:10:03 UTC

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New package aurora with initial version 0.1.12
Package: aurora
Title: Build Stateless Web Apps with 'plumber2'
Version: 0.1.12
Description: A scaffolding and deployment toolkit for building stateless web applications in R on top of the 'plumber2' web framework (<https://plumber2.posit.co/>). The UI is authored with 'bslib' and compiled to a static HTML asset at build time, while 'plumber2' serves the assets and exposes JSON API routes. Provides functions to scaffold app skeletons, run them locally, and generate Dockerfiles and images suitable for 'ShinyProxy' or plain Docker.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, fs, glue, htmltools, jsonlite, plumber2 (>= 0.2.0), rlang, yaml
Suggests: brand.yml, bslib (>= 0.9.0), callr, config, fiery, geojsonsf, httpuv, httr2, jose, knitr, later, nanoparquet, pak, reqres, rmarkdown, sf, shiny, sodium, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/aurora-govpe/aurora-rpkg, https://aurora-govpe.github.io/aurora-rpkg/
BugReports: https://github.com/aurora-govpe/aurora-rpkg/issues
NeedsCompilation: no
Packaged: 2026-06-19 18:24:46 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut], Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-06-24 09:10:09 UTC

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New package artoo with initial version 0.1.1
Package: artoo
Title: Lossless CDISC-Native Input and Output for Clinical Datasets
Version: 0.1.1
Description: Reads and writes clinical-trial datasets losslessly across 'SAS' XPORT (XPT), Clinical Data Interchange Standards Consortium (CDISC) Dataset-JSON, and 'Apache Parquet', applying a specification to produce submission-ready Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) datasets. A single canonical metadata model carries labels, CDISC data types, lengths, 'SAS' display formats, controlled-terminology references, and sort keys identically across every format, so conversion between any two formats is lossless by construction. Pure 'R' and lightweight, with no external 'SAS' or 'Java' runtime. Implements the published format specifications for CDISC Dataset-JSON (<https://cdisc-org.github.io/DataExchange-DatasetJson/doc/dataset-json1-1.html>) and 'SAS' XPORT (<https://www.loc.gov/preservation/digital/formats/fdd/fdd000466.shtml>).
License: MIT + file LICENSE
URL: https://vthanik.github.io/artoo/, https://github.com/vthanik/artoo
BugReports: https://github.com/vthanik/artoo/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2)
Imports: cli, hms, jsonlite, nanoparquet (>= 0.3.0), rlang (>= 1.1.0), S7, utf8
Suggests: quarto, readxl, testthat (>= 3.0.0), tibble, withr, writexl, xml2
VignetteBuilder: quarto
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-20 13:56:18 UTC; vignesh
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 09:50:18 UTC

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New package strollur with initial version 0.1.2
Package: strollur
Title: Store and Transfer Amplicon Sequence Data
Version: 0.1.2
Date: 2026-06-09
Maintainer: Pat Schloss <pschloss@umich.edu>
Description: Stores the data associated with your amplicon sequence analysis. This includes nucleotide sequences, abundance, sample and treatment assignments, taxonomic classifications, asv, otu and phylotype clusters, metadata, trees and various reports. It is designed to facilitate data analysis across multiple R packages with utility functions to read / write from 'mothur', 'qiime2', 'dada2', and 'phyloseq'.
URL: https://github.com/mothur/strollur, https://mothur.org/strollur/
BugReports: https://github.com/mothur/strollur/issues
License: GPL (>= 3)
Imports: Rcpp, cli, methods, microseq, R.utils, R6, waldo, readr, ape, dplyr, tidyr, yaml, rbiom (>= 3.1.0), stats, utils
LinkingTo: Rcpp, cli, Rcereal
Depends: R (>= 4.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2, phyloseq, ggplot2, phylotypr, rhdf5, h5lite, pak
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-19 14:36:46 UTC; swestcot
Author: Sarah Westcott [aut] , Gregory Johnson [aut] , Pat Schloss [cph, cre]
Repository: CRAN
Date/Publication: 2026-06-24 09:00:02 UTC

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New package selecta with initial version 0.6.0
Package: selecta
Title: Declarative EQUATOR-Style Flow Diagrams for Clinical Studies
Version: 0.6.0
Description: Build EQUATOR-style flowcharts for clinical studies by sequentially defining inclusion and exclusion criteria, study arms, and endpoints. The pipe-friendly API supports CONSORT (randomized trials), STROBE (observational cohorts), STARD (diagnostic accuracy), PRISMA (systematic reviews), and MOOSE (observational meta-analysis) diagram layouts, as well as multi-source convergence, split-and-recombine, factorial, and hybrid topologies. Diagrams are rendered via 'grid' graphics in both data-driven (automatic counting) and manual-count modes, with optional 'DiagrammeR'/'Graphviz' output.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://phmcc.codeberg.page/selecta, https://codeberg.org/phmcc/selecta, https://github.com/phmcc/selecta
BugReports: https://github.com/phmcc/selecta/issues
Depends: R (>= 4.1.0)
Imports: data.table, grid
Suggests: DiagrammeR, knitr, ragg, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-19 07:29:36 UTC; paul
Author: Paul Hsin-ti McClelland [aut, cre, cph]
Maintainer: Paul Hsin-ti McClelland <PaulHMcClelland@protonmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 08:40:02 UTC

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New package PONG2 with initial version 1.0.1
Package: PONG2
Title: KIR Genotype Imputation and Model Training from SNP Array Data
Version: 1.0.1
Date: 2026-05-30
Description: A scalable and accurate tool for Killer-cell Immunoglobulin-like Receptor (KIR) genotype imputation directly from SNP array data using supervised machine learning models trained across five continental ancestry groups. Uses attribute bagging and an ensemble classifier method with haplotype inference for SNPs and KIR types. Models are built from global populations in the 1000 Genomes Project and validated across diverse biobank cohorts. Methods are based on Zheng et al. (2014) <doi:10.1016/j.ajhg.2013.12.015> and Sadeeq et al. (2026) <https://github.com/NormanLabUCD/PONG2>.
Maintainer: Suraju A. Sadeeq <suraju.sadeeq@cuanschutz.edu>
License: GPL-3
URL: https://normanlabucd.github.io/PONG2/, https://github.com/NormanLabUCD/PONG2
BugReports: https://github.com/NormanLabUCD/PONG2/issues
Depends: R (>= 4.0.0)
Imports: parallel, graphics, stats, utils, tools
LinkingTo: Rcpp, RcppParallel
Suggests: HIBAG, knitr, rmarkdown, pkgdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: PLINK2 (>= 2.0), minimac4 (>= 4.1.6, optional)
NeedsCompilation: yes
Packaged: 2026-06-18 16:44:28 UTC; suraju
Author: Suraju A. Sadeeq [aut, cre], Laura A. Leaton [aut], Katherine M. Kichula [aut], Paul J. Norman [aut], Xiuwen Zheng [ctb, cph]
Repository: CRAN
Date/Publication: 2026-06-24 08:10:02 UTC

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New package mergeGridR with initial version 0.2.0
Package: mergeGridR
Title: Grid-Based Number Merge Puzzle Simulation
Date: 2026-06-10
Version: 0.2.0
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Provides tools to simulate, analyse, visualise, and benchmark grid-based number merge puzzles. The package implements generic grid mechanics, tile-spawning rules, merge rules, scoring functions, reproducible simulation utilities, and local 'Shiny' and 'WebGL' interfaces for interactive use. It is intended for teaching, algorithmic experimentation, and game-theoretic examples. The autoplay helpers use standard heuristic search and Monte Carlo simulation ideas described in Russell and Norvig (2021, ISBN:9780134610993) and Robert and Casella (2004, ISBN:9780387212395).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: ggplot2, ggWebGL, parallel, Rcpp, shiny, tools
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/fbertran/mergeGridR/, https://fbertran.github.io/mergeGridR/
BugReports: https://github.com/fbertran/mergeGridR/issues
NeedsCompilation: yes
Packaged: 2026-06-19 09:00:09 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-06-24 08:50:02 UTC

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New package inatpick with initial version 0.2.2
Package: inatpick
Title: Download Photos and Metadata from 'iNaturalist'
Version: 0.2.2
Description: A lightweight interface to the 'iNaturalist' API (<https://www.inaturalist.org/pages/api+reference>) for downloading observation photos and exporting metadata to CSV. Supports filtering by taxon, place, user, and annotation. Note that downloaded photos retain their original licenses as set by 'iNaturalist' observers; users are responsible for respecting these licenses.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr, jsonlite, dplyr, tidyr, purrr, rlang, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), httptest2
URL: https://github.com/andresarb/inatpick, https://andresarb.github.io/inatpick/
BugReports: https://github.com/andresarb/inatpick/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-18 18:23:19 UTC; ar696
Author: Andres Romero-Bravo [aut, cre]
Maintainer: Andres Romero-Bravo <aromerobravo@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 08:20:02 UTC

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New package HydroPonicsK with initial version 1.0.3
Package: HydroPonicsK
Title: Hydroponic Data Analysis Tools
Version: 1.0.3
Description: Provides statistical and graphical tools for the analysis of hydroponic crop production data. The package includes functions for descriptive statistical analysis, data visualization, correlation analysis, heatmap generation, and graphical summaries of plant growth and nutrient-related variables. These tools support researchers, students, and practitioners in evaluating crop performance and environmental conditions in hydroponic cultivation systems. The package utilizes standard statistical methods implemented in R for data exploration and visualization. Methods are described in James et al. (2021, ISBN:9781071614172) and Wickham (2016, ISBN:9783319242750).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2, pheatmap, stats
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-06-19 05:24:11 UTC; Dr. Imtiyaz
Author: Khalid Ul Islam Rather [aut, cre]
Maintainer: Khalid Ul Islam Rather <drkhalidulislam@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 08:30:02 UTC

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New package HOIF with initial version 0.2.0
Package: HOIF
Title: Higher-Order Influence Function Estimators for the Average Treatment Effect
Version: 0.2.0
Description: Implements Higher-Order Influence Function (HOIF) estimators of the Average Treatment Effect (ATE), following Robins et al. (2008) <doi:10.1214/193940307000000527>, Liu et al. (2017) <doi:10.48550/arXiv.1705.07577> and Liu and Li (2023) <doi:10.48550/arXiv.2302.08097>. Estimators of any order are supported, with optional covariate basis transformations (B-splines, Fourier) and optional K-fold sample splitting (cross-fitting) for improved finite-sample performance. The core higher-order U-statistics are computed exactly via the 'ustats' package, an R interface to the 'Python' package 'u-stats'; the underlying algorithm and its computational complexity are analyzed in Chen, Zhang and Liu (2025) <doi:10.48550/arXiv.2508.12627>. A pure R implementation (up to order 6) is also provided as a fallback that does not require 'Python'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: splines, corpcor, SMUT, ustats (>= 0.1.5)
Suggests: MASS, testthat (>= 3.0.0), reticulate, knitr, rmarkdown
URL: https://cxy0714.github.io/HOIF/, https://github.com/cxy0714/HOIF
BugReports: https://github.com/cxy0714/HOIF/issues
SystemRequirements: For the default Python backend: Python (>= 3.11) with the 'u-stats', 'numpy' and 'torch' packages (provisioned automatically on first use via 'reticulate', or via ustats::setup_ustats()). Not needed when pure_R_code = TRUE.
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-19 07:29:51 UTC; thinkbook-cxy
Author: Xingyu Chen [aut, cre], Lin Liu [aut]
Maintainer: Xingyu Chen <xingyuchen0714@sjtu.edu.cn>
Repository: CRAN
Date/Publication: 2026-06-24 08:40:10 UTC

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New package gaQSAR with initial version 1.2.3
Package: gaQSAR
Title: QSAR Modelling Using Genetic Algorithm Based Variable Selection
Version: 1.2.3
Description: Implements genetic algorithm-based variable selection for building quantitative structure-activity relationship (QSAR) models. The package provides a workflow for selecting optimal predictor subsets from large descriptor spaces using leave-one-out cross-validation (LOOCV) with Q2 as the fitness criterion. Features include automatic handling of multicollinearity via variance inflation factor (VIF) thresholding, customizable genetic algorithm operators, and diagnostic tools for model evaluation. Supports both training set optimization and external validation, plus nested (double) cross-validation for unbiased performance estimation and predictor stability diagnostics. Built-in visualization functions include Q2 curves and Williams plots to assess model applicability domain. The method is demonstrated in papers predicting antibacterial activity by Araya-Cloutier et al. (2018) <doi:10.1038/s41598-018-27545-4> and Kalli et al. (2021) <doi:10.1038/s41598-021-92964-9>.
License: GPL-3
Encoding: UTF-8
Imports: GA, future, future.apply, ggplot2, ggrepel, stats, scales, prospectr, reshape2
Suggests: knitr, rmarkdown, QSARdata
VignetteBuilder: knitr
URL: https://github.com/joshageman/gaQSAR
BugReports: https://github.com/joshageman/gaQSAR/issues
NeedsCompilation: no
Author: Jos Hageman [aut, cre]
Maintainer: Jos Hageman <jos.hageman@wur.nl>
Packaged: 2026-06-18 20:49:14 UTC; josha
Repository: CRAN
Date/Publication: 2026-06-24 08:20:07 UTC

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New package formulaiv with initial version 0.1.0
Package: formulaiv
Title: Sensitivity of Formula Instrument to Shock Design
Version: 0.1.0
Description: Functions to implement the formula instrument method in Borusyak and Hull (2023) <doi:10.3982/ECTA19367> and examine its sensitivity to the assumed distributional of counterfactual shocks.
License: MIT + file LICENSE
URL: https://github.com/peizansheng/formulaiv
BugReports: https://github.com/peizansheng/formulaiv/issues
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: stats, lpSolve
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-19 15:38:42 UTC; peizan
Author: Peizan Sheng [aut, cre]
Maintainer: Peizan Sheng <peizan@uchicago.edu>
Repository: CRAN
Date/Publication: 2026-06-24 09:00:11 UTC

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New package ExtremeConformal with initial version 0.2.2
Package: ExtremeConformal
Title: Extreme Conformal Prediction Intervals
Version: 0.2.2
Description: This new extreme conformal prediction framework provides informative prediction intervals at the high-confidence levels for which classical conformal methods fail. In applications with potentially high-impact events, a very high level of confidence is often required for predictions. If that level is too large relative to the amount of data used for calibration, classical conformal methods provide infinitely wide, thus, uninformative prediction intervals. Our extreme conformal procedure bridges extreme value statistics and conformal prediction to provide reliable and informative prediction intervals with high-confidence coverage, which can be constructed using any black-box extreme quantile regression method. A weighted version of the approach can account for nonstationary data. The methodology was introduced in Pasche, Lam, and Engelke (2026) <doi:10.1007/s10687-026-00536-9>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ExtremeCI, extRemes, ismev, stats
URL: https://github.com/opasche/ExtremeConformal, https://opasche.github.io/ExtremeConformal/
BugReports: https://github.com/opasche/ExtremeConformal/issues
NeedsCompilation: no
Packaged: 2026-06-18 16:41:44 UTC; pascheo
Author: Olivier C. Pasche [aut, cre, cph]
Maintainer: Olivier C. Pasche <olivier_pasche@alumni.epfl.ch>
Repository: CRAN
Date/Publication: 2026-06-24 08:10:07 UTC

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New package dqcheckrGUI with initial version 0.1.0
Package: dqcheckrGUI
Title: Point-and-Click GUI Client for 'dqcheckr'
Version: 0.1.0
Date: 2026-06-18
Description: A graphical user interface for the 'dqcheckr' package. Provides a point-and-click 'shiny' application for configuring dataset quality checks, running them against recurring file deliveries, and browsing historical check results — without writing any R code.
License: MIT + file LICENSE
URL: https://github.com/mickmioduszewski/dqcheckrGUI
BugReports: https://github.com/mickmioduszewski/dqcheckrGUI/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2)
Imports: dqcheckr (>= 0.2.2), shiny, bslib, shinyvalidate, shinyFiles, shinyAce, reactable, DT, callr, yaml, readr, DBI, RSQLite, stats, tools
Suggests: testthat (>= 3.1.0), knitr, rmarkdown, shinytest2, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-18 20:36:58 UTC; mick
Author: Mick Mioduszewski [aut, cre]
Maintainer: Mick Mioduszewski <mick@mioduszewski.net>
Repository: CRAN
Date/Publication: 2026-06-24 08:20:13 UTC

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New package dataProfilerR with initial version 0.2.1
Package: dataProfilerR
Title: Automated Exploratory Data Analysis and Dataset Profiling
Version: 0.2.1
Description: Profiles a data frame with minimal input: column type inference, missing-value analysis, distributional summary statistics (including skewness and kurtosis), normality tests, outlier detection, correlation and categorical-association analysis, date-column profiling, grouped comparisons and an overall data-quality score, alongside a set of 'ggplot2' visualisations. A single entry point, profile_data(), returns a structured S3 object holding metadata, statistics, diagnostics and plots, with print(), summary() and plot() methods, and report() renders the whole profile to a self-contained HTML file. Statistical methods include the Shapiro-Wilk normality test as implemented by Royston (1995) <doi:10.2307/2986146> and the Anderson-Darling test following Stephens (1974) <doi:10.1080/01621459.1974.10480196>, with power comparisons of these tests in Yap and Sim (2011) <doi:10.1080/00949655.2010.520163>, and the categorical association measure of Cramer (1946, ISBN:978069108004 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: ggplot2, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, nortest, spelling
VignetteBuilder: knitr
URL: https://github.com/mqfarooqi1/dataProfilerR
BugReports: https://github.com/mqfarooqi1/dataProfilerR/issues
NeedsCompilation: no
Packaged: 2026-06-18 22:53:01 UTC; faroo
Author: Muhammad Farooqi [aut, cre]
Maintainer: Muhammad Farooqi <mqfarooqi@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 08:20:18 UTC

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New package countryatlas with initial version 1.0.0
Package: countryatlas
Title: Join World Bank Data, Country Codes and Maps on the ISO Spine
Version: 1.0.0
Description: A complete toolkit for getting country data onto honest maps. Country names rarely line up across data sources ("US", "U.S.", "United States", "United States of America" are one country, but a naive join treats them as four), so 'countryatlas' makes ISO codes the universal join key. It generalises a one-call, map-ready table that stitches together 'ggplot2' map geometry, 'WDI' World Bank indicators and the 'countrycode' Rosetta stone; exposes the join machinery for the user's own data; ships curated reference data (metadata, group memberships, an indicator catalogue, flags and currencies); adds analysis helpers (per-capita, regional roll-ups, ranking); and turns one hand-drawn choropleth into a full vocabulary of projected, area-honest maps (binned and quantile choropleths, proportional-symbol, bivariate, cartogram, tile-grid, flow, animated and interactive). Heavy spatial dependencies stay optional, and a bundled offline snapshot lets every example, test and vignette run without the n [...truncated...]
License: GPL (>= 3)
URL: https://pursuitofdatascience.github.io/countryatlas/, https://github.com/PursuitOfDataScience/countryatlas
BugReports: https://github.com/PursuitOfDataScience/countryatlas/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: cli, countrycode, dplyr, ggplot2, memoise, rlang, tibble, tidyr, WDI
Suggests: biscale, cartogram, classInt, covr, gganimate, geofacet, ggiraph, ggrepel, knitr, leaflet, maps, plotly, rmapshaper, rmarkdown, rnaturalearth, rnaturalearthdata, scales, sf, stringdist, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-19 14:28:17 UTC; youzhi
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>
Repository: CRAN
Date/Publication: 2026-06-24 09:00:17 UTC

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New package BIGpopA with initial version 1.0.5
Package: BIGpopA
Title: Pedigree Validation Genetic Composition of Diploids & Polyploids
Version: 1.0.5
Maintainer: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Description: Tools for pedigree quality control and genomic breed/line composition estimation in diploid and polyploid breeding populations. 'BIGpopA' provides functions to check and correct common pedigree errors, assign parentage from SNP genotype data using Mendelian error rates, validate parent-offspring trios, and estimate genome-wide breed or line composition using quadratic programming. Supports both diploid and polyploid species. For more details about the included 'breedTools' functions, see Funkhouser et al. (2017) <doi:10.2527/tas2016.0003>.
License: Apache License (>= 2)
URL: https://github.com/Breeding-Insight/BIGpopA
BugReports: https://github.com/Breeding-Insight/BIGpopA/issues
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: dplyr, janitor, quadprog, data.table, ggplot2
Suggests: covr, knitr (>= 1.10), rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-18 20:36:44 UTC; josue.chinchilla
Author: Josue Chinchilla-Vargas [cre, aut], Alexander Sandercock [aut], University of Florida [cph]
Repository: CRAN
Date/Publication: 2026-06-24 08:20:24 UTC

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Package umweltapir updated to version 0.2.1 with previous version 0.2.0 dated 2026-06-18

Title: Access 'umwelt.info' API
Description: Provides an R-based access to the datasets including their resources from the portal <https://umwelt.info>. The package allows for an easy integration of those datasets into your R-based workflows. The functionality of the package mirrors the web-based access as provided at <https://umwelt.info>. You can use the same queries and get the same datasets by accessing our API.
Author: Johannes Vogel [aut, cre], Maximilian Berthold [aut], Luise Quoss [ctb], Nationales Zentrum fuer Umwelt- und Naturschutzinformationen [cph]
Maintainer: Johannes Vogel <johannes.vogel@uba.de>

Diff between umweltapir versions 0.2.0 dated 2026-06-18 and 0.2.1 dated 2026-06-24

 DESCRIPTION   |    6 +++---
 MD5           |    6 +++---
 NEWS.md       |    4 ++++
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 4 files changed, 12 insertions(+), 7 deletions(-)

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Package tinyoauth updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-17

Title: Minimal OAuth 2.0 Client
Description: A dependency-light OAuth 2.0 <https://www.rfc-editor.org/rfc/rfc6749> client supporting the client-credentials and authorization-code grants with token refresh. Built on 'curl' and 'jsonlite', with base R's socket server for the redirect listener, avoiding heavier HTTP stacks.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

Diff between tinyoauth versions 0.1.0 dated 2026-06-17 and 0.1.1 dated 2026-06-24

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 man/openai_codex_account_id.Rd     |   11 ----
 tests/tinytest.R                   |    6 --
 34 files changed, 155 insertions(+), 194 deletions(-)

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Package tensorEVD readmission to version 0.1.5 with previous version 0.1.4 dated 2024-09-03

Title: A Fast Algorithm to Factorize High-Dimensional Tensor Product Matrices
Description: Here we provide tools for the computation and factorization of high-dimensional tensor products that are formed by smaller matrices. The methods are based on properties of Kronecker products (Searle 1982, p. 265, ISBN-10: 0470009616). We evaluated this methodology by benchmark testing and illustrated its use in Gaussian Linear Models ('Lopez-Cruz et al., 2024') <doi:10.1093/g3journal/jkae001>.
Author: Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [aut]
Maintainer: Marco Lopez-Cruz <maraloc@gmail.com>

This is a re-admission after prior archival of version 0.1.4 dated 2024-09-03

Diff between tensorEVD versions 0.1.4 dated 2024-09-03 and 0.1.5 dated 2026-06-24

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 src/Makevars                          |    1 
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 34 files changed, 863 insertions(+), 588 deletions(-)

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New package sentixr with initial version 0.2.0
Package: sentixr
Title: Lexicons and Tools for Italian Sentiment Analysis
Version: 0.2.0
Description: Lexicons and tools to perform sentiment analysis on Italian texts. Lexicons included: Sentix 3.0, MAL, ElIta VAD and basic emotions (Plutchik's wheel of emotions). For more details about the lexicons, see Basile & Nissim (2013), "Sentiment Analysis on Italian Tweets", <https://aclanthology.org/W13-1614/>; Vassallo et al. (2019), "The Tenuousness of Lemmatization in Lexicon-based Sentiment Analysis", <https://aclanthology.org/2019.clicit-1.79/>; Di Palma (2024), "ELIta: A New Italian Language Resource for Emotion Analysis", <https://aclanthology.org/2024.clicit-1.36/>.
Language: en, it
Depends: R (>= 4.1), dplyr, tidyselect, rlang
Imports: udpipe
Suggests: knitr, rmarkdown, tidytext, spacyr, readtext, tibble, testthat (>= 3.0.0), remotes, quanteda, mockery
VignetteBuilder: knitr
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
URL: https://github.com/valeriobasile/sentixr
Packaged: 2026-06-18 14:40:30 UTC; avard
Author: Agnese Vardanega [aut, cre] , Valerio Basile [aut] , Eliana Di Palma [aut] , Giuliano Gabrieli [aut] , Marco Vassallo [aut]
Maintainer: Agnese Vardanega <avardanega@unite.it>
Repository: CRAN
Date/Publication: 2026-06-24 07:50:02 UTC

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New package rCoros with initial version 0.1.0
Package: rCoros
Title: Access COROS Training Hub Fitness Data
Version: 0.1.0
Date: 2026-06-07
Description: Provides a tidy interface to the 'COROS' Training Hub API (<https://coros.com/traininghub>), the web platform that accompanies 'COROS' GPS sports watches. Retrieves activities, daily wellness metrics (heart rate variability, resting heart rate, VO2 max and training load), workout programmes and training calendars. All results are returned as tibbles, ready for analysis with 'dplyr' and 'ggplot2'. Both the US and EU regional endpoints are supported.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: digest (>= 0.6.30), dplyr (>= 1.1.0), httr2 (>= 1.0.0), purrr (>= 1.0.0), tibble (>= 3.2.0)
Suggests: ggplot2 (>= 3.4.0), knitr (>= 1.40), rmarkdown (>= 2.20), testthat (>= 3.0.0), withr (>= 2.5.0)
VignetteBuilder: knitr
URL: https://github.com/mattyoreilly/rCoros, https://mattyoreilly.github.io/rCoros/
BugReports: https://github.com/mattyoreilly/rCoros/issues
NeedsCompilation: no
Packaged: 2026-06-08 07:03:30 UTC; mattoreilly
Author: Matt O'Reilly [aut, cre]
Maintainer: Matt O'Reilly <fermoymatt@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 08:00:02 UTC

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Package puremoe updated to version 1.1.0 with previous version 1.0.4 dated 2026-04-21

Title: Integrated Retrieval and Analysis of 'PubMed', 'NIH', and 'NLM' Literature Data
Description: Retrieve and analyze biomedical literature from 'PubMed' and the wider 'NIH'/'NLM' data stack through a single, PMID-centered interface. A PubMed search resolves to a set of PMIDs, which can be used to retrieve article metadata and abstracts, author affiliations, 'iCite' citation data and links, 'PubTator3' entity and relation annotations, and open-access full text from 'PMC'. A local analysis layer operates on the retrieved tables, supporting corpus expansion through citation links, citation network construction, sentence-level entity co-occurrence, inspection of relation evidence, and 'MeSH' descriptor keyness.
Author: Jason Timm [aut, cre]
Maintainer: Jason Timm <JaTimm@salud.unm.edu>

Diff between puremoe versions 1.0.4 dated 2026-04-21 and 1.1.0 dated 2026-06-24

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Package migraph updated to version 1.6.6 with previous version 1.6.2 dated 2026-04-17

Title: Inferential Methods for Multimodal and Other Networks
Description: A set of tools for testing networks. It includes functions for univariate and multivariate conditional uniform graph and quadratic assignment procedure testing, and network regression. The package is a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book. Built on the 'manynet' package, all functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode and two-mode (bipartite) networks.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Bernhard Bieri [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package MatchingPursuit updated to version 1.1.0 with previous version 1.0.1 dated 2026-04-14

Title: Processing Time Series Data Using the Matching Pursuit Algorithm
Description: Provides tools for analysing and decomposing time series data using the Matching Pursuit (MP) algorithm, a greedy signal decomposition technique that represents complex signals as a linear combination of simpler functions (called atoms) selected from a redundant dictionary. Support for the Orthogonal Matching Pursuit (OMP) variant of the classical MP algorithm is also provided. For more details see Mallat and Zhang (1993) <doi:10.1109/78.258082>, Pati et al. (1993) <doi:10.1109/ACSSC.1993.342465>, Elad (2010) <doi:10.1007/978-1-4419-7011-4> and Różański (2024) <doi:10.1145/3674832>.
Author: Artur Gramacki [aut, cre] , Jaroslaw Gramacki [ctb] , Piotr T. Rożanski [ctb]
Maintainer: Artur Gramacki <a.gramacki@gmail.com>

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Package manynet updated to version 2.1.3 with previous version 2.1.2 dated 2026-06-21

Title: Many Ways to Make, Manipulate, and Modify Myriad Networks
Description: Many tools for making, manipulating, and modifying many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, on directed, multiplex, multimodal, signed, and other networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing networks with sensible defaults.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Christian Steglich [ctb], Alvaro Uzaheta [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between manynet versions 2.1.2 dated 2026-06-21 and 2.1.3 dated 2026-06-24

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More information about manynet at CRAN
Permanent link

Package igoR updated to version 1.0.3 with previous version 1.0.2 dated 2026-05-23

Title: Access the Intergovernmental Organizations ('IGO') Database
Description: Provides tools for searching, extracting and recoding the Intergovernmental Organizations ('IGO') Database (version 3), distributed by the Correlates of War Project <https://correlatesofwar.org/>. Includes 'IGO'-year and country-year membership data, state system data and functions for deriving dyad-year joint membership results. For a description of the data, see Pevehouse, J. C. et al. (2020) <doi:10.1177/0022343319881175>.
Author: Diego Hernangomez [aut, cre, cph] , The Correlates of War Project [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between igoR versions 1.0.2 dated 2026-05-23 and 1.0.3 dated 2026-06-24

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Permanent link

New package hydrochem with initial version 0.1.0
Package: hydrochem
Title: Analysis and Visualization Tools for Hydrochemical Analysis
Version: 0.1.0
Description: Provides a comprehensive suite of tools for processing, analyzing, and visualizing hydrochemical data in a reproducible and programmatic workflow. Implements unit conversion, censored data management, ionic balance calculation, water type classification, and a range of hydrochemical indices relevant to water quality assessment. Offers advanced visualization functions for generating Piper (Piper, 1944, <doi:10.1029/TR025i006p00914>), Durov (Durov, 1948), Stiff (Stiff, 1951, <doi:10.2118/951376-G>), Collins (Collins, 1923, <doi:10.1021/ie50160a030>), Schoeller (Schoeller, 1935), Gibbs (Gibbs, 1970, <doi:10.1126/science.170.3962.1088>), and ternary diagrams — the standard graphical tools used in hydrochemical interpretation. Unlike existing solutions that rely on spreadsheets or proprietary graphical software, 'hydrochem' is designed for scalability and reproducibility, lowering the technical barrier for hydrochemists working with datasets of varying complexity. I [...truncated...]
License: GPL-2
Depends: R (>= 4.1.0)
Imports: cowplot (>= 1.2.0), data.table (>= 1.16.2), ggplot2 (>= 3.5.1), grDevices, scales (>= 1.4.0), stats
Suggests: spelling
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-18 16:10:27 UTC; busemorose
Author: Guillaume Cinkus [aut, cre] , Raphael Bondu [aut]
Maintainer: Guillaume Cinkus <guillaume.cinkus@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-24 08:00:16 UTC

More information about hydrochem at CRAN
Permanent link

New package ggtaichi with initial version 0.1.0
Package: ggtaichi
Title: Taichi-Diagram Visualization for Two Data Sources
Version: 0.1.0
Description: A data visualization design that compares two (usually on a par with each other) data sources on one grid of taichi (yin-yang) diagrams, where the two interlocking fish of every symbol are filled by the two sources, while inheriting 'ggplot2' features.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/PursuitOfDataScience/ggtaichi
BugReports: https://github.com/PursuitOfDataScience/ggtaichi/issues
Depends: R (>= 3.5.0)
Imports: rlang, grid, ggplot2 (>= 3.0.0), ggnewscale (>= 0.4.5)
Suggests: rmarkdown, knitr, dplyr, scales, tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-18 16:09:09 UTC; youzhi
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>
Repository: CRAN
Date/Publication: 2026-06-24 08:00:22 UTC

More information about ggtaichi at CRAN
Permanent link

New package geovizr with initial version 1.0.0
Package: geovizr
Title: Interactive Cartography
Version: 1.0.0
Description: Create a wide range of interactive, zoomable vector maps. This package is an 'R' binding for the 'geoviz' 'JavaScript' library <https://github.com/riatelab/geoviz/>, itself based on the 'd3.js' ecosystem <doi:10.1109/TVCG.2011.185>. Like the original 'JavaScript' library, the package takes advantage of the many features provided by 'd3.js': proportional symbols, pictograms, typologies, choropleth maps, spikes, tiles, Dorling cartograms, and more. It can also be used to create pretty static vectorial maps in 'svg' format, suitable for editorial cartography.
License: GPL (>= 3)
URL: https://riatelab.github.io/geovizr/
BugReports: https://github.com/riatelab/geovizr/issues/
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: htmlwidgets, geojsonsf, jsonlite, sf
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-18 14:19:51 UTC; nlambert
Author: Nicolas Lambert [aut, cre] , Timothee Giraud [ctb]
Maintainer: Nicolas Lambert <nicolas.lambert@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-06-24 07:40:37 UTC

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New package blockwise with initial version 0.1.2
Package: blockwise
Title: Reduced Modeling for Tabular Data with Blockwise Missingness
Version: 0.1.2
Description: Supervised learning on tabular data with blockwise missing patterns, using the Blockwise Reduced Modeling (BRM) method of Srinivasan, Currim, and Ram (2025) <doi:10.1287/ijds.2022.9016>. BRM partitions the training data into overlapping subsets based on per-row feature-missing patterns, fits one user-supplied learner per subset with minimal imputation, and at prediction time routes each test instance to the best-matching subset model. The interface is learner-agnostic: any fit-and-predict pair can be plugged in, and convenience specifications are provided for linear models, tree models, random forests, and gradient boosting.
License: GPL-3
Language: en-US
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: stats, VIM, withr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, rpart, ranger, gbm, ggplot2
VignetteBuilder: knitr
URL: https://github.com/KarAnalytics/blockwise
BugReports: https://github.com/KarAnalytics/blockwise/issues
NeedsCompilation: no
Packaged: 2026-06-18 16:03:18 UTC; k639s258
Author: Karthik Srinivasan [aut, cre] , Faiz Currim [aut], Sudha Ram [aut]
Maintainer: Karthik Srinivasan <karthiks@ku.edu>
Repository: CRAN
Date/Publication: 2026-06-24 08:00:27 UTC

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Package functional updated to version 0.7 with previous version 0.6 dated 2014-07-16

Title: Curry, Compose, and Other Higher-Order Functions
Description: Provides a small collection of higher-order functions for functional-style programming in R, including 'Curry' (partial application), 'CurryL' (lazy partial application), 'Compose' (function composition, including a multi-argument variant), 'Identity', 'Negate' and 'Swap'.
Author: Peter Danenberg [aut, cre]
Maintainer: Peter Danenberg <pcd@roxygen.org>

Diff between functional versions 0.6 dated 2014-07-16 and 0.7 dated 2026-06-24

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Package SheetReader (with last version 1.2.1) was removed from CRAN

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

2024-05-30 1.2.1
2024-03-01 1.2.0
2023-05-09 1.1.0
2022-04-08 1.0.2
2022-03-28 1.0.1

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Package Goodreader (with last version 0.1.2) was removed from CRAN

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

2024-10-24 0.1.2
2024-08-30 0.1.1
2024-08-27 0.1.0

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Package eummd (with last version 0.2.0) was removed from CRAN

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

2024-10-14 0.2.0
2024-05-21 0.1.9

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Package MatTransMix (with last version 0.1.18) was removed from CRAN

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

2025-01-29 0.1.18

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Package dc3net (with last version 1.2.0) was removed from CRAN

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

2017-03-28 1.2.0

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Package SeqFeatR (with last version 0.3.3) was removed from CRAN

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

2026-02-13 0.3.3
2019-04-12 0.3.1
2018-11-30 0.3
2018-05-18 0.2.7
2018-03-06 0.2.6
2016-10-17 0.2.4
2016-05-25 0.2.3
2016-03-24 0.2.2
2015-08-20 0.2.0
2015-02-11 0.1.7
2014-06-10 0.1.5

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Package RGraphSpace updated to version 1.4.1 with previous version 1.4.0 dated 2026-06-13

Title: A Lightweight Interface Between 'igraph' and 'ggplot2' Graphics
Description: An interface to integrate 'igraph' and 'ggplot2' graphics within a normalized coordinate system. 'RGraphSpace' extends 'ggplot2' with graph-aware geometries optimized for large networks. The 'GraphSpace' class integrates directly with 'ggplot2' through specialized 'geoms' and lazy resolution of node attributes, supporting customization of aesthetics and visual styles. These 'geoms' use a dual-anchor normalization approach to align layers, particularly useful for analyses in which network elements must be spatially aligned with reference maps and images.
Author: Sysbiolab Team [aut], Flavio Kessler [ctb], Jonathan Back [ctb], Lana Querne [ctb], Victor Apolonio [ctb], Vinicius Chagas [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package readMDTable updated to version 0.4.0 with previous version 0.3.3 dated 2026-05-31

Title: Read Markdown Tables into Tibbles
Description: Efficient reading of raw markdown tables into tibbles. Designed to accept content from strings, files, and URLs with the ability to extract and read multiple tables from markdown for analysis.
Author: Jordan Bradford [aut, cre, cph]
Maintainer: Jordan Bradford <jrdnbradford@gmail.com>

Diff between readMDTable versions 0.3.3 dated 2026-05-31 and 0.4.0 dated 2026-06-24

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Package preventr updated to version 0.12.0 with previous version 0.11.0 dated 2025-01-26

Title: An Implementation of the PREVENT and Pooled Cohort Equations
Description: Implements the American Heart Association Predicting Risk of cardiovascular disease EVENTs (PREVENT) equations from Khan SS, Matsushita K, Sang Y, and colleagues (2023) <doi:10.1161/CIRCULATIONAHA.123.067626>, with optional comparison with their de facto predecessor, the Pooled Cohort Equations from the American Heart Association and American College of Cardiology (2013) <doi:10.1161/01.cir.0000437741.48606.98> and the revision to the Pooled Cohort Equations from Yadlowsky and colleagues (2018) <doi:10.7326/M17-3011>.
Author: Martin Mayer [aut, cre, cph]
Maintainer: Martin Mayer <mmayer@ebsco.com>

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Package hydropeak updated to version 0.1.3 with previous version 0.1.2 dated 2022-11-15

Title: Detect and Characterize Sub-Daily Flow Fluctuations
Description: An important environmental impact on running water ecosystems is caused by hydropeaking - the discontinuous release of turbine water because of peaks of energy demand. An event-based algorithm is implemented to detect flow fluctuations referring to increase events (IC) and decrease events (DC). For each event, a set of parameters related to the fluctuation intensity is calculated. The framework is introduced in Greimel et al. (2016) "A method to detect and characterize sub-daily flow fluctuations" <doi:10.1002/hyp.10773> and can be used to identify different fluctuation types according to the potential source: e.g., sub-daily flow fluctuations caused by hydropeaking, rainfall, or snow and glacier melt. This is a companion to the package 'hydroroute', which is used to detect and follow hydropower plant-specific hydropeaking waves at the sub-catchment scale and to describe how hydropeaking flow parameters change along the longitudinal flow path as proposed and validated in Greimel [...truncated...]
Author: Bettina Gruen [cre, ctb] , Julia Haider [aut], Benjamin Altmann [ctb] , Franz Greimel [ctb]
Maintainer: Bettina Gruen <Bettina.Gruen@R-project.org>

Diff between hydropeak versions 0.1.2 dated 2022-11-15 and 0.1.3 dated 2026-06-24

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Package groupedHyperframe.random updated to version 0.3.2 with previous version 0.3.1 dated 2026-06-02

Title: Simulated Point-Pattern via Vectorized Parameterization
Description: An intuitive interface to simulate superimposed (marked) point patterns with vectorized parameterization of random point pattern and distribution of marks. The 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.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between groupedHyperframe.random versions 0.3.1 dated 2026-06-02 and 0.3.2 dated 2026-06-24

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Package dotwhisker updated to version 0.8.6 with previous version 0.8.4 dated 2025-05-06

Title: Dot-and-Whisker Plots of Regression Results
Description: Create quick and easy dot-and-whisker plots of regression results. It takes as input either (1) a coefficient table in standard form or (2) one (or a list of) fitted model objects (of any type that has methods implemented in the 'parameters' package). It returns 'ggplot' objects that can be further customized using tools from the 'ggplot2' package. The package also includes helper functions for tasks such as rescaling coefficients or relabeling predictor variables. See more methodological discussion of the visualization and data management methods used in this package in Kastellec and Leoni (2007) <doi:10.1017/S1537592707072209> and Gelman (2008) <doi:10.1002/sim.3107>.
Author: Frederick Solt [aut], Yue Hu [aut, cre], Ben Bolker [ctb], Os Keyes [ctb], Stefan Mueller [ctb], Thomas Leeper [ctb], Chris Wallace [ctb], Christopher Warshaw [ctb]
Maintainer: Yue Hu <yuehu@tsinghua.edu.cn>

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