Fri, 26 Jun 2026

Package raymolecule updated to version 0.9.0 with previous version 0.5.3 dated 2024-02-21

Title: Parse and Render Molecular Structures in 3D
Description: Downloads and parses 'SDF' (Structural Description Format) and 'PDB' (Protein Database) files for 3D rendering.
Author: Tyler Morgan-Wall [aut, cph, cre]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between raymolecule versions 0.5.3 dated 2024-02-21 and 0.9.0 dated 2026-06-26

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Package prefviz updated to version 0.1.3 with previous version 0.1.2 dated 2026-05-01

Title: Visualizes Preferential Data in One and More Contests
Description: A visualization toolkit for preferential data, such as ranked-choice election results, tournament outcomes, and survey responses. The package provides methods to visualise the preference distribution of one contest with bar charts and pairwise comparisons of two contestants, as well as methods to visualise multiple contests through 2D and high-dimensional simplex plots both statically and interactively. HD simplex displays are implemented via projection methods using the 'tourr' and 'detourr' packages, enabling dynamic exploration of high-dimensional preference structure. For more details on HD simplex projection, see Wickham et al. (2011) <doi:10.21105/joss.03419>.
Author: Linh Ngo [aut, cre], Dianne Cook [aut] , Damjan Vukcevic [aut]
Maintainer: Linh Ngo <linhngo66.work@gmail.com>

Diff between prefviz versions 0.1.2 dated 2026-05-01 and 0.1.3 dated 2026-06-26

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Package PathwaySpace updated to version 1.4.1 with previous version 1.3.0 dated 2026-05-23

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

Diff between PathwaySpace versions 1.3.0 dated 2026-05-23 and 1.4.1 dated 2026-06-26

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Package epiR updated to version 2.0.94 with previous version 2.0.93 dated 2026-05-18

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

Diff between epiR versions 2.0.93 dated 2026-05-18 and 2.0.94 dated 2026-06-26

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Package astrochron updated to version 1.7 with previous version 1.6 dated 2026-02-25

Title: A Computational Tool for Astrochronology
Description: Routines for astrochronologic testing, astronomical time scale construction, and time series analysis <doi:10.1016/j.earscirev.2018.11.015>. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Author: Stephen Meyers [aut, cre], Alberto Malinverno [ctb], Linda Hinnov [ctb], Christian Zeeden [ctb], Huaran Liu [ctb], Vincent Moron [ctb], Michel Crucifix [ctb]
Maintainer: Stephen Meyers <smeyers@geology.wisc.edu>

Diff between astrochron versions 1.6 dated 2026-02-25 and 1.7 dated 2026-06-26

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Thu, 25 Jun 2026

Package SimVitD updated to version 1.0.4 with previous version 1.0.3 dated 2023-08-20

Title: Simulation Tools for Planning Vitamin D Studies
Description: Simulation tools for planning Vitamin D studies. Individual vitamin D status profiles are simulated, modelling population heterogeneity in trial arms. Exposures to infectious agents are generated, with infection depending on vitamin D status.
Author: Rebecca Mangan [aut], Jason Wyse [aut, cre], Lina Zgaga [aut]
Maintainer: Jason Wyse <wyseja@tcd.ie>

Diff between SimVitD versions 1.0.3 dated 2023-08-20 and 1.0.4 dated 2026-06-25

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Package trtswitch updated to version 0.2.7 with previous version 0.2.6 dated 2026-05-26

Title: Treatment Switching
Description: Implements rank preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), marginal structural model (MSM), simple two-stage estimation (TSEsimp), and improved two-stage estimation with g-estimation (TSEgest) methods for treatment switching in randomized clinical trials.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package tidyfinance updated to version 0.7.0 with previous version 0.6.0 dated 2026-05-31

Title: Tidy Finance Helper Functions
Description: Helper functions for empirical research in financial economics, addressing a variety of topics covered in Scheuch, Voigt, and Weiss (2023) <doi:10.1201/b23237>. The package is designed to provide shortcuts for issues extensively discussed in the book, facilitating easier application of its concepts. For more information and resources related to the book, visit <https://www.tidy-finance.org/r/index.html>.
Author: Christoph Scheuch [aut, cre, cph] , Stefan Voigt [aut, cph] , Patrick Weiss [aut, cph] , Maximilian Muecke [ctb]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

Diff between tidyfinance versions 0.6.0 dated 2026-05-31 and 0.7.0 dated 2026-06-25

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Package mixpower updated to version 1.1.1 with previous version 0.1.0 dated 2026-02-12

Title: Simulation-Based Power Analysis for Mixed-Effects Models
Description: A comprehensive, simulation-based toolkit for power and sample-size analysis for linear and generalized linear mixed-effects models (LMMs and GLMMs). Supports Gaussian, binomial, Poisson, and negative binomial families via 'lme4'; Wald and likelihood-ratio tests; multi-parameter sensitivity grids; power curves and minimum sample-size solvers; parallel evaluation with deterministic seeds; and full reproducibility (manifests, result bundling, and export to CSV/JSON). Delivers thorough diagnostics per run (failure rate, singular-fit rate, effective N) and publication-ready summary tables. References: Bates et al. (2015) "Fitting Linear Mixed-Effects Models Using lme4" <doi:10.18637/jss.v067.i01>; Green and MacLeod (2016) "SIMR: an R package for power analysis of generalized linear mixed models by simulation" <doi:10.1111/2041-210X.12504>.
Author: Alex Litovchenko [aut, cre]
Maintainer: Alex Litovchenko <al4877@columbia.edu>

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Package MDgof updated to version 1.0.2 with previous version 1.0.1 dated 2026-06-03

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 1.0.1 dated 2026-06-03 and 1.0.2 dated 2026-06-25

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Package denstest updated to version 1.0.1 with previous version 1.0.0 dated 2025-05-16

Title: Density Equality Testing
Description: Methods for testing the equality between groups of estimated density functions. The package implements FDET (Fourier-based Density Equality Testing) and MDET (Moment-based Density Equality Testing), two new approaches introduced by the author. Both methods extend an earlier testing approach by Delicado (2007), "Functional k-sample problem when data are density functions" <doi:10.1007/s00180-007-0047-y>, which is referred to as DET (Density Equality Testing) in this package for clarity. FDET compares groups of densities based on their global shape using Fourier transforms, while MDET tests for differences in distributional moments. All methods are described in Anarat, Krutmann and Schwender (2025), "Testing for Differences in Extrinsic Skin Aging Based on Density Functions" (Submitted).
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>

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New package SIEVEseq with initial version 0.0.0
Package: SIEVEseq
Title: Unified Differential Expression, Variability and Skewness Analysis for RNA-Seq Data
Version: 0.0.0
Date: 2026-06-07
Maintainer: Hongxiang Li <hxli@ynnu.edu.cn>
Description: Provides a unified framework for the simultaneous testing of differential expression, variability, and skewness of genes using RNA-Seq data. The framework adopts a compositional data analysis approach for modelling RNA-Seq count data, applies the centered log-ratio transformation to obtain continuous variables, and uses the skew-normal distribution for statistical inference. Methods are described in Li and Khang (bioRxiv preprint, 2024, version 3) <doi:10.1101/2024.04.09.588804>.
Depends: R (>= 4.1)
Imports: sn, stats, ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/Divo-Lee/SIEVEseq
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: no
Packaged: 2026-06-22 14:21:19 UTC; chels
Author: Hongxiang Li [aut, cre], Tsung Fei Khang [aut]
Repository: CRAN
Date/Publication: 2026-06-25 16:10:09 UTC

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Package msPCA updated to version 0.5.0 with previous version 0.4.1 dated 2026-06-12

Title: Sparse Principal Component Analysis with Multiple Principal Components
Description: Implements an algorithm for computing multiple sparse principal components of a dataset. The method is based on Cory-Wright and Pauphilet "Sparse PCA with Multiple Principal Components" (2026) <doi:10.1287/opre.2023.0598>. The algorithm uses an iterative deflation heuristic with a truncated power method applied at each iteration to compute sparse principal components with controlled sparsity.
Author: Ryan Cory-Wright [aut, cph] , Jean Pauphilet [aut, cre, cph]
Maintainer: Jean Pauphilet <jpauphilet@london.edu>

Diff between msPCA versions 0.4.1 dated 2026-06-12 and 0.5.0 dated 2026-06-25

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New package mixqr with initial version 0.2.0
Package: mixqr
Title: Extensible Finite Mixtures of Quantile and Expectile Regressions
Version: 0.2.0
Description: An extensible expectation-maximization (EM) framework for finite mixtures of quantile regressions (clusterwise / mixture-of-experts quantile regression). A single EM substrate with an engine/extension contract carries a family of capabilities: the core free-weight mixture of Wu and Yao (2016) <doi:10.1016/j.csda.2014.04.014> -- a fast asymmetric-Laplace path and the nonparametric kernel-density EM with components constrained to have their tau-quantile equal to zero (Hall and Presnell 1999 device); expectile and M-quantile component-loss families (Newey and Powell 1987; Breckling and Chambers 1988); component-specific penalized variable selection (SCAD / adaptive-LASSO, the quantile analogue of Khalili and Chen 2007); and joint multi-quantile estimation with a shared latent classification and non-crossing component curves. Provides classification-aware standard errors (sparsity and stochastic-EM multiple imputation), multi-start estimation, component-count selection, and predictio [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: quantreg, stats, graphics, utils
Suggests: ggplot2, rqPen, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/kvenkita/mixqr, https://kvenkita.github.io/mixqr/
BugReports: https://github.com/kvenkita/mixqr/issues
NeedsCompilation: no
Packaged: 2026-06-22 11:18:57 UTC; kyle
Author: Kailas Venkitasubramanian [aut, cre, cph]
Maintainer: Kailas Venkitasubramanian <kailasv@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-25 16:10:02 UTC

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New package TCpRepDesigns with initial version 0.0.1
Package: TCpRepDesigns
Title: Partially Replicated Test-Control Designs for Early Generation Varietal Trials
Version: 0.0.1
Description: Provides functions for generating partially replicated (p-rep) test-control designs for early generation varietal trials conducted across multiple environments. The package implements three construction methods for obtaining efficient p-rep test-control designs with one or more control treatments. The package extends the partially replicated design framework of Vinaykumar et al. (2026) <doi:10.1007/s12355-025-01684-1> to accommodate test-control comparisons in breeding trials. Functions are also provided for generating randomized and non-randomized layouts and for evaluating designs using average variance measures for test-versus-test and test-versus-control comparisons, together with canonical efficiency factors. The proposed designs are useful for large-scale varietal evaluation trials where a large number of test lines are assessed under limited experimental resources.
License: GPL (>= 3)
Encoding: UTF-8
Imports: MASS
NeedsCompilation: no
Packaged: 2026-06-22 03:51:26 UTC; admin
Author: Vinaykumar L.N. [aut, cre], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Sayantani Karmakar [aut, ctb], Vinayaka [aut, ctb]
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-25 15:50:16 UTC

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New package taperNOR with initial version 0.2.1
Package: taperNOR
Title: Taper, Volume and Bark Thickness Models for Spruce, Pine and Birch in Norway
Version: 0.2.1
Description: Stem taper, bark thickness, and volume models for the main Norwegian tree species (Norway spruce, Scots pine, and birch), based on Hansen et al. (2023) <doi:10.1080/02827581.2023.2243821> and the correction <doi:10.1080/02827581.2024.2358467>. Provides functions to predict stem diameter along the bole, bark thickness, and stem volume by numerical integration of the taper curve, and to invert these relationships (e.g. estimating height and diameter at breast height from measured diameters).
License: MIT + file LICENSE
URL: https://github.com/SmartForest-no/taperNOR
BugReports: https://github.com/SmartForest-no/taperNOR/issues
Encoding: UTF-8
Language: en-US
Imports: TapeR
Depends: R (>= 2.10)
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-19 12:41:24 UTC; JoRa
Author: Johannes Rahlf [aut, cre], Endre Hofstad Hansen [aut]
Maintainer: Johannes Rahlf <johannes.rahlf@nibio.no>
Repository: CRAN
Date/Publication: 2026-06-25 16:00:02 UTC

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Package slopes updated to version 2.0.0 with previous version 1.0.2 dated 2026-06-17

Title: Calculate Slopes of Roads, Rivers and Trajectories
Description: Calculates the slope (longitudinal gradient or steepness) of linear geographic features such as roads (for more details, see Ariza-López et al. (2019) <doi:10.1038/s41597-019-0147-x>) and rivers (for more details, see Cohen et al. (2018) <doi:10.1016/j.jhydrol.2018.06.066>). It can use local Digital Elevation Model (DEM) data or download DEM data via the 'ceramic' package. The package also provides functions to add elevation data to linestrings and visualize elevation profiles.
Author: Robin Lovelace [aut, cre, cph] , Rosa Felix [aut] , Joey Talbot [aut] , Goncalo Matos [aut] , Dan Olner [rev] , Andy Teucher [rev]
Maintainer: Robin Lovelace <rob00x@gmail.com>

Diff between slopes versions 1.0.2 dated 2026-06-17 and 2.0.0 dated 2026-06-25

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New package rMosaic with initial version 0.1.3
Package: rMosaic
Title: R Bindings to the 'Mosaic' Visualization Framework
Version: 0.1.3
Description: Provides R bindings for 'Mosaic', a declarative grammar for linked, data-driven visualizations backed by 'DuckDB'. The package supplies 'htmlwidgets' and 'shiny' helpers for rendering 'Mosaic' specifications from R, including optional browser-side 'DuckDB-WASM' execution and selection export helpers for exploratory workflows.
License: MIT + file LICENSE
URL: https://github.com/TiRizvanov/rMosaic
BugReports: https://github.com/TiRizvanov/rMosaic/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: htmlwidgets (>= 1.5.4), shiny (>= 1.7.0), jsonlite (>= 1.8.0), yaml (>= 2.3.0), DBI (>= 1.1.0), duckdb (>= 1.4.0), stats
Suggests: arrow (>= 12.0.0), knitr, rmarkdown, rstudioapi
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-09 14:00:38 UTC; timurrizvanov
Author: Timur Rizvanov [aut, cre], Edward C. Ruiz [aut], Ruben Dries [aut, rev], Dries Lab [fnd] , Boston University [fnd] )
Maintainer: Timur Rizvanov <timurr@bu.edu>
Repository: CRAN
Date/Publication: 2026-06-25 15:40:02 UTC

More information about rMosaic at CRAN
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New package ratecalib with initial version 0.3.0
Package: ratecalib
Title: Calibration Weighting to Multiple Subgroup Pass-Rate Targets
Version: 0.3.0
Description: Calibration weighting for binary-outcome pass rates against multiple overlapping subgroup targets. Adjusts initial positive weights so that the overall pass rate and subgroup pass rates approach (soft mode) or exactly match (exact mode) given targets, while preserving the initial weight structure and population margins. Provides a one-step interface, pre-solve data checks, target-table construction, effective sample size and design-effect diagnostics, and example data. The solver works on a bounded convex quadratic program over demographic-cell-by-outcome aggregates for efficiency on large samples. Methods follow the calibration approach of Deville and Saerndal (1992) <doi:10.1080/01621459.1992.10475217>.
License: MIT + file LICENSE
URL: https://github.com/makunxiang-cmd/ratecalib
BugReports: https://github.com/makunxiang-cmd/ratecalib/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Matrix, methods, osqp, stats
Suggests: testthat (>= 3.0.0), openxlsx
NeedsCompilation: no
Packaged: 2026-06-21 15:50:54 UTC; makunxiang
Author: Kunxiang Ma [aut, cre]
Maintainer: Kunxiang Ma <mkx07080412@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-25 15:10:02 UTC

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New package ProbSVMs with initial version 0.1.0
Package: ProbSVMs
Title: Probabilistic Support Vector Machines
Version: 0.1.0
Author: A. Pedro Duarte Silva [aut, cre]
Maintainer: A. Pedro Duarte Silva <psilva@ucp.pt>
Description: Implements kernel-based classification Support Vector Machines with reliable estimated probabilities of class membership. Theoretical support for the functions in this package can be found in Duarte Silva (2025) <doi:10.1016/j.cor.2025.107203>.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0), Rcpp (>= 1.0.4.6)
LinkingTo: Rcpp, RcppArmadillo (>= 15.2.6-1)
Imports: lpSolveAPI, kernlab, ggplot2, MASS, stats, reshape2
NeedsCompilation: yes
Packaged: 2026-06-22 09:13:01 UTC; antonio
Repository: CRAN
Date/Publication: 2026-06-25 16:00:20 UTC

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New package mixedsubjectsirt with initial version 1.0.0
Package: mixedsubjectsirt
Title: Item Response Theory Calibration with a Mixed Subjects Design
Version: 1.0.0
Description: Integrates large language model generated item responses into psychometric calibration studies through a mixed-subjects design for unidimensional two-parameter and one-parameter logistic item response theory models. Human pilot responses are augmented with model-generated responses using a prediction-powered inference estimator (Angelopoulos, Bates, Fannjiang, Jordan and Zrnic (2023) <doi:10.1126/science.adi6000>; Angelopoulos, Duchi and Zrnic (2023) <doi:10.48550/arXiv.2311.01453>) adapted to marginal maximum-likelihood estimation, following the mixed-subjects design of Broska, Howes and van Loon (2025) <doi:10.1177/00491241251326865>. The estimator is anchored to the human responses and is asymptotically unbiased for the human item parameters at any tuning weight; the weight on the synthetic responses is chosen to minimize propagated ability-score risk, down-weighting uninformative or biased generated responses. Louis-corrected sandwich standard errors, ability scor [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: mirt, rmutil
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://klintkanopka.com/mixedsubjectsirt/, https://github.com/klintkanopka/mixedsubjectsirt
BugReports: https://github.com/klintkanopka/mixedsubjectsirt/issues
NeedsCompilation: no
Packaged: 2026-06-22 02:19:58 UTC; klintkanopka
Author: Klint Kanopka [aut, cre]
Maintainer: Klint Kanopka <klint.kanopka@nyu.edu>
Repository: CRAN
Date/Publication: 2026-06-25 15:50:09 UTC

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New package FragiliTidy with initial version 0.1.0
Package: FragiliTidy
Title: Tidyverse-Compatible Fragility Index Calculations
Version: 0.1.0
Description: Provides optimized, Tidyverse-compatible functions for calculating the Fragility Index and Reverse Fragility Index for 2x2 contingency tables from clinical trials. Uses customized hypergeometric and algebraic calculations along with binary search algorithms to achieve substantial speedups over standard implementations, with seamless integration into 'dplyr' pipelines.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, purrr, rlang, tibble, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/tomdrake/fragilitidy
BugReports: https://github.com/tomdrake/fragilitidy/issues
NeedsCompilation: no
Packaged: 2026-06-22 04:02:09 UTC; tdrake
Author: Tom Drake [aut, cre]
Maintainer: Tom Drake <t.drake@ed.ac.uk>
Repository: CRAN
Date/Publication: 2026-06-25 15:50:21 UTC

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New package DataCraftR with initial version 0.3.2
Package: DataCraftR
Title: Create Datasets Interactively Using 'shiny'
Version: 0.3.2
Description: Set of 'shiny'-based 'RStudio' add-ins for interactively creating datasets through graphical interfaces. Users can adjust graphical elements to define data generation parameters, and the resulting datasets can be saved to temporary RDS files for further analysis or visualization. Methods are described in: Chang et al. (2024) <https://CRAN.R-project.org/package=shiny>; Bostock et al. (2011) <doi:10.1109/TVCG.2011.185>.
License: GPL (>= 3)
URL: https://github.com/CarlosRivera1212/DataCraftR
BugReports: https://github.com/CarlosRivera1212/DataCraftR/issues
Encoding: UTF-8
Imports: bsicons, bslib, RcppColors, rstudioapi, shiny, shinyWidgets
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-21 16:09:56 UTC; carlos
Author: Carlos Rivera [aut, cre] , Heidi Renninger [fnd]
Maintainer: Carlos Rivera <riveramo.carlos@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-25 15:10:07 UTC

More information about DataCraftR at CRAN
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Package crystract updated to version 1.0.2 with previous version 1.0.1 dated 2026-05-28

Title: Crystallographic Information File (CIF) Data Processing Tools
Description: Provides a suite of functions to parse Crystallographic Information Files (.cif), extracting essential data such as chemical formulas, unit cell parameters, atomic coordinates, and symmetry operations. It also includes tools to calculate interatomic distances, identify bonded pairs using various algorithms (minimum_distance, brunner_nn_reciprocal, econ_nn, crystal_nn), determine nearest neighbor counts, and calculate bond angles. The package is designed to facilitate the preparation of crystallographic data for further analysis, including machine learning applications in materials science. Methods are described in: Brunner (1977) <doi:10.1107/S0567739477000461>; Hoppe (1979) <doi:10.1524/zkri.1979.150.14.23>; O'Keeffe (1979) <doi:10.1107/S0567739479001765>; Shannon (1976) <doi:10.1107/S0567739476001551>; Pan et al. (2021) <doi:10.1021/acs.inorgchem.0c02996>; Pauling (1960, ISBN:978-0801403330).
Author: Don Ngo [aut, cre] , Anirudh Prabhu [aut] , Julia-Maria Hubner [aut]
Maintainer: Don Ngo <dngo@carnegiescience.edu>

Diff between crystract versions 1.0.1 dated 2026-05-28 and 1.0.2 dated 2026-06-25

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Package bayesDP updated to version 1.3.8 with previous version 1.3.7 dated 2025-01-12

Title: Implementation of the Bayesian Discount Prior Approach for Clinical Trials
Description: Functions for data augmentation using the Bayesian discount prior method for single arm and two-arm clinical trials, as described in Haddad et al. (2017) <doi:10.1080/10543406.2017.1300907>. The discount power prior methodology was developed in collaboration with the The Medical Device Innovation Consortium (MDIC) Computer Modeling & Simulation Working Group.
Author: Shawn Balcome [aut], Donnie Musgrove [aut], Tarek Haddad [aut], Graeme L. Hickey [cre, aut] , Christopher Jackson [ctb]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>

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Package tdthap updated to version 1.4 with previous version 1.3 dated 2023-11-29

Title: TDT Tests for Extended Haplotypes
Description: Functions and examples for transmission/disequilibrium tests for extended marker haplotypes, as described in Clayton and Jones (1999) <doi:10.1086/302566>.
Author: David Clayton [aut], Jing Hua Zhao [cre]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

Diff between tdthap versions 1.3 dated 2023-11-29 and 1.4 dated 2026-06-25

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Package qualtRics updated to version 3.3.0 with previous version 3.2.2 dated 2025-08-22

Title: Download 'Qualtrics' Survey Data
Description: Provides functions to access survey results directly into R using the 'Qualtrics' API. 'Qualtrics' <https://www.qualtrics.com/about/> is an online survey and data collection software platform. See <https://api.qualtrics.com/> for more information about the 'Qualtrics' API. This package is community-maintained and is not officially supported by 'Qualtrics'.
Author: Jasper Ginn [aut], Jackson Curtis [ctb], Shaun Jackson [ctb], Samuel Kaminsky [ctb], Eric Knudsen [ctb], Joseph O'Brien [aut], Daniel Seneca [ctb], Julia Silge [aut] , Phoebe Wong [ctb], Adam Pilipshen [aut, cre]
Maintainer: Adam Pilipshen <martialmetrics@gmail.com>

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Package optimLanduse updated to version 2.0.0 with previous version 1.2.1 dated 2024-02-21

Title: Robust Land-Use Optimization
Description: Robust multi-criteria land-allocation optimization that explicitly accounts for the uncertainty of the indicators in the objective function. Solves the problem of allocating scarce land to various land-use options with regard to multiple, coequal indicators. The method aims to find the land allocation that represents the indicator composition with the best possible trade-off under uncertainty. optimLanduse includes the actual optimization procedure as described by Knoke et al. (2016) <doi:10.1038/ncomms11877> and the post-hoc calculation of the portfolio performance as presented by Gosling et al. (2020) <doi:10.1016/j.jenvman.2020.110248>.
Author: Kai Husmann [aut, cre] , Volker von Gross [aut] , Jasper Fuchs [aut] , Kai Boedeker [aut] , Carola Paul [aut] , Thomas Knoke [aut] , Goettingen University - Forest Economics and Sustainable Land-use Planning [cph, fnd], TUM School of Life Sciences - Fo [...truncated...]
Maintainer: Kai Husmann <kai.husmann@uni-goettingen.de>

Diff between optimLanduse versions 1.2.1 dated 2024-02-21 and 2.0.0 dated 2026-06-25

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Package bootUR updated to version 1.0.5 with previous version 1.0.4 dated 2024-05-20

Title: Bootstrap Unit Root Tests
Description: Set of functions to perform various bootstrap unit root tests for both individual time series (including augmented Dickey-Fuller test and union tests), multiple time series and panel data; see Smeekes and Wilms (2023) <doi:10.18637/jss.v106.i12>, Palm, Smeekes and Urbain (2008) <doi:10.1111/j.1467-9892.2007.00565.x>, Palm, Smeekes and Urbain (2011) <doi:10.1016/j.jeconom.2010.11.010>, Moon and Perron (2012) <doi:10.1016/j.jeconom.2012.01.008>, Smeekes and Taylor (2012) <doi:10.1017/S0266466611000387> and Smeekes (2015) <doi:10.1111/jtsa.12110> for key references.
Author: Stephan Smeekes [cre, aut] , Ines Wilms [aut]
Maintainer: Stephan Smeekes <s.smeekes@maastrichtuniversity.nl>

Diff between bootUR versions 1.0.4 dated 2024-05-20 and 1.0.5 dated 2026-06-25

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Package jmvcore updated to version 2.7.35 with previous version 2.7.7 dated 2025-09-18

Title: Dependencies for the 'jamovi' Framework
Description: A framework for creating rich interactive analyses for the jamovi platform (see <https://www.jamovi.org> for more information).
Author: Jonathon Love [aut, cre, cph]
Maintainer: Jonathon Love <jon@thon.cc>

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Package geometa updated to version 0.10.1 with previous version 0.10.0 dated 2026-06-16

Title: Tools for Reading and Writing ISO/OGC Geographic Metadata
Description: Provides facilities to read, write and validate geographic metadata defined with ISO TC211 / OGC ISO geographic information metadata standards, and encoded using the ISO 19139 and ISO 19115-3 (XML) standard technical specifications. This includes ISO 19110 (Feature cataloguing), 19115 (dataset metadata), 19119 (service metadata) and 19136 (GML). Other interoperable schemas from the OGC are progressively supported as well, such as the Sensor Web Enablement (SWE) Common Data Model, the OGC GML Coverage Implementation Schema (GMLCOV), or the OGC GML Referenceable Grid (GMLRGRID).
Author: Emmanuel Blondel [aut, cre] , R Consortium [fnd]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between geometa versions 0.10.0 dated 2026-06-16 and 0.10.1 dated 2026-06-25

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Package BayesFBHborrow updated to version 2.0.10 with previous version 2.0.9 dated 2026-06-20

Title: Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function
Description: Allows Bayesian borrowing from a historical dataset for time-to- event data. A flexible baseline hazard function is achieved via a piecewise exponential likelihood with time varying split points and smoothing prior on the historic baseline hazards. The method is described in Scott and Lewin (2026) <doi:10.1093/biostatistics/kxag006>, and a paper focused on the software is in Scott, Axillus, Lewin and Izmirlian (2026) <doi:10.48550/arXiv.2408.04327>.
Author: Darren Scott [aut], Sophia Axillus [aut], Grant Izmirlian [aut, cre]
Maintainer: Grant Izmirlian <grant.izmirlian@astrazeneca.com>

Diff between BayesFBHborrow versions 2.0.9 dated 2026-06-20 and 2.0.10 dated 2026-06-25

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Package TmCalculator updated to version 1.0.7 with previous version 1.0.6 dated 2026-06-13

Title: Genome-Wide Nucleic Acid Melting Temperature Profiling and Multi-Omics Integration
Description: Accurate calculation of nucleic acid melting temperature (Tm) is fundamental to many molecular biology applications, and this software scales Tm analysis from individual sequences to genome‑wide thermodynamic profiling. This package extends Tm analysis from simple sequence level computation to comprehensive genome-wide thermodynamic profiling. It takes multiple input formats including sequence strings, FASTA files, genomic coordinates. The implementation provides three Tm calculation methods: the Wallace rule (Thein & Wallace, 1986), empirical GC‑content formulas (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001), and nearest‑neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1995; Allawi, 1997; SantaLucia, 2005). Corrections are supported for salt ions (SantaLucia, 1996, 1998; Owczarzy, 2004, 2008) and for chemical conditions such as [...truncated...]
Author: Junhui Li [cre, aut] , Lihua Julie Zhu [aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

Diff between TmCalculator versions 1.0.6 dated 2026-06-13 and 1.0.7 dated 2026-06-25

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New package rsei with initial version 0.1.0
Package: rsei
Title: Client for the 'SEI' Electronic Information System Web Services
Version: 0.1.0
Description: Toolkit to interact with the 'SOAP' web services of the 'SEI' (Sistema Eletronico de Informacoes), the electronic system for document and process management widely used by Brazilian public administration bodies. Provides functions to build the 'SOAP' envelopes, perform the requests, handle 'SOAP' faults, and parse the 'XML' responses into data frames. Covers process and document queries, listing services, write operations (creating processes and documents, sending and signing off processes, blocks, deadlines and markers) and the permission services of the companion 'SIP' system. Note that access to the web services is restricted by the server to previously authorized network addresses. For more information about the 'SEI' system and its web services see <https://www.gov.br/gestao/pt-br/assuntos/processo-eletronico-nacional>.
License: GPL-3
Encoding: UTF-8
Language: pt-BR
Depends: R (>= 4.1.0)
Imports: httr2, xml2, keyring, jsonlite, magrittr, dplyr, tidyr, purrr, tibble
Suggests: testthat (>= 3.0.0), roxygen2, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/StrategicProjects/rsei, https://strategicprojects.github.io/rsei/
BugReports: https://github.com/StrategicProjects/rsei/issues
NeedsCompilation: no
Packaged: 2026-06-20 20:21:58 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: 2026-06-25 11:10:02 UTC

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Package rolog updated to version 0.9.28 with previous version 0.9.27 dated 2026-06-18

Title: Query 'SWI'-'Prolog' from R
Description: This R package connects to SWI-Prolog, <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).
Author: Matthias Gondan [aut, com, cre] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between rolog versions 0.9.27 dated 2026-06-18 and 0.9.28 dated 2026-06-25

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New package ringSeg with initial version 0.1.0
Package: ringSeg
Title: Asymptotic Distribution-Free Change-Point Detection via a New Ranking Scheme (RING)
Version: 0.1.0
Description: Rank-based, asymptotic distribution-free change-point detection for modern (high-dimensional, non-Euclidean) data, based on the graph-induced ranking scheme of Zhou and Chen (2025) <doi:10.1109/TIT.2025.3575858>. Given a rank matrix built from a pairwise similarity, the method scans for a single change-point or a changed interval using three statistics (weighted 'WR', max-type 'MR', and generalized 'TR') and returns analytic distribution-free p-value approximations (with an optional skewness correction) as well as optional permutation p-values.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-06-21 08:53:55 UTC; hao
Author: Doudou Zhou [aut], Hao Chen [aut, cre]
Maintainer: Hao Chen <hxchen@ucdavis.edu>
Repository: CRAN
Date/Publication: 2026-06-25 11:30:02 UTC

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New package QuantileModels with initial version 1.0.0
Package: QuantileModels
Title: Estimation of Different Quantile Related Models
Version: 1.0.0
Description: Estimation of different quantile models, at the moment only Conditional autoregressive value at risk (CAViaR) proposed by Engle & Manganelli (2004) <doi:10.1198/073500104000000370> with also the specification proposed in Huang et al. (2009) <doi:10.1016/j.eneco.2008.12.006> and it's multivariate extension, Multi-variate multi-quantile CAViaR (MVMQ-CAViaR) proposed by White et al. (2015) <doi:10.1016/j.jeconom.2015.02.004> are available, however, in further updates, other models and extensions will be included.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, nloptr, quantreg, numDeriv, xts, zoo, ufRisk, GenSA
Suggests: knitr, rmarkdown,
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
Language: en-US
NeedsCompilation: yes
Packaged: 2026-06-21 10:21:56 UTC; Christian
Author: Christian Jorge Carreiro [aut, cre, cph]
Maintainer: Christian Jorge Carreiro <christianjorge59@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-25 11:30:07 UTC

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Package purgeR updated to version 1.8.3 with previous version 1.8.2 dated 2023-11-28

Title: Inbreeding-Purging Estimation in Pedigreed Populations
Description: Inbreeding-purging analysis of pedigreed populations, including the computation of the inbreeding coefficient, partial, ancestral and purged inbreeding coefficients, and measures of the opportunity of purging related to the individual reduction of inbreeding load. In addition, functions to calculate the effective population size and other parameters relevant to population genetics are included. See López-Cortegano E. (2022) <doi:10.1093/bioinformatics/btab599>.
Author: Eugenio Lopez-Cortegano [aut, cre]
Maintainer: Eugenio Lopez-Cortegano <elcortegano@protonmail.com>

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Package mdbplyr updated to version 0.4.0 with previous version 0.3.0 dated 2026-04-22

Title: A Native Lazy Analytical Backend for MongoDB
Description: Provides a disciplined, lazy subset of 'dplyr' semantics for MongoDB aggregation pipelines. Queries remain lazy until collect() and compile into MongoDB-native aggregation stages.
Author: Paolo Bosetti [aut, cre]
Maintainer: Paolo Bosetti <paolo.bosetti@unitn.it>

Diff between mdbplyr versions 0.3.0 dated 2026-04-22 and 0.4.0 dated 2026-06-25

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Package isard updated to version 0.2.0 with previous version 0.1.0 dated 2025-04-10

Title: Overflow Data for Quantitative Peace Science Research
Description: These are data and functions to support quantitative peace science research. The data are important state-year information on democracy and wealth, which require periodic updates and regular maintenance. The functions permit some exploratory and diagnostic assessment of the kinds of data in demand by the community, but do not impose many dependencies on the user.
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steve@svmiller.com>

Diff between isard versions 0.1.0 dated 2025-04-10 and 0.2.0 dated 2026-06-25

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New package ggbond with initial version 0.0.5
Package: ggbond
Title: Interactive Layout Editor for 'R' Plots
Version: 0.0.5
Description: Provides a 'shiny'-based layout editor for arranging 'R' plot objects on a fixed-size canvas. It supports 'ggplot2' plots, 'graphics' functions and recorded plots, 'pheatmap' objects, 'ComplexHeatmap' objects, 'grid' grobs, 'gtable' objects, and local raster images, with live preview and PDF or PNG export.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, graphics, grDevices, grid, gridGraphics, jpeg, jsonlite, png, shiny, stats, tiff, tools, utils
Suggests: ComplexHeatmap, pheatmap
NeedsCompilation: no
Packaged: 2026-06-21 15:43:49 UTC; libeihao
Author: BeiHao Li [aut, cre, cph]
Maintainer: BeiHao Li <szright2000@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-25 11:50:07 UTC

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New package ggalttext with initial version 0.3.0
Package: ggalttext
Title: Make 'ggplot2' Fully Accessible by Generating Alternative Text
Version: 0.3.0
Description: Generates concise alternative text for data visualizations created with 'ggplot2'. Descriptions are produced by inspecting plot layers, labels, scales, and facets, with support for multiple languages and alternative text stored in plot metadata.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, knitr
Suggests: babynames, ggtext, dplyr, patchwork, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-21 14:21:21 UTC; josephbarbier
Author: Joseph Barbier [aut, cre, cph]
Maintainer: Joseph Barbier <joseph@ysunflower.com>
Repository: CRAN
Date/Publication: 2026-06-25 11:50:12 UTC

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Package focus updated to version 0.1.8 with previous version 0.1.7 dated 2026-06-12

Title: Online Changepoint Detection in Univariate and Multivariate Data Streams
Description: Provides high-performance online changepoint detection in univariate and multivariate data streams. Implements efficient 'C++' backends for the 'focus', 'md-focus' and 'np-focus' algorithms, with an 'R' interface for real-time monitoring and offline analysis. The package bundles code from 'Qhull' <http://www.qhull.org/>, by C. B. Barber and The Geometry Center. See 'inst/COPYRIGHTS' for details.
Author: Gaetano Romano [aut, cre, trl], Kes Ward [aut], Yuntang Fan [aut], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut], Idris A. Eckley [aut], C. B. Barber [ctb, cph] , The Geometry Center [cph]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

Diff between focus versions 0.1.7 dated 2026-06-12 and 0.1.8 dated 2026-06-25

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Package enmpa updated to version 0.2.5 with previous version 0.2.4 dated 2026-05-28

Title: Ecological Niche Modeling using Presence-Absence Data
Description: A set of tools to perform Ecological Niche Modeling with presence-absence data. It includes algorithms for data partitioning, model fitting, calibration, evaluation, selection, and prediction. Other functions help to explore signals of ecological niche using univariate and multivariate analyses, and model features such as variable response curves and variable importance. Unique characteristics of this package are the ability to exclude models with concave quadratic responses, and the option to clamp model predictions to specific variables. These tools are implemented following principles proposed in Cobos et al., (2022) <doi:10.17161/bi.v17i.15985>, Cobos et al., (2019) <doi:10.7717/peerj.6281>, and Peterson et al., (2008) <doi:10.1016/j.ecolmodel.2007.11.008>.
Author: Luis F. Arias-Giraldo [aut, cre] , Marlon E. Cobos [aut] , A. Townsend Peterson [ctb]
Maintainer: Luis F. Arias-Giraldo <lfarias.giraldo@gmail.com>

Diff between enmpa versions 0.2.4 dated 2026-05-28 and 0.2.5 dated 2026-06-25

 DESCRIPTION       |    8 ++++----
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New package chatterbox with initial version 0.2.1
Package: chatterbox
Title: Text-to-Speech Using the 'Chatterbox' Engine
Version: 0.2.1
Date: 2026-06-21
Description: A native R 'torch' port of the 'Chatterbox' text-to-speech engine <https://github.com/resemble-ai/chatterbox>. Provides speech synthesis with voice cloning; model weights are downloaded from 'HuggingFace' <https://huggingface.co/> via the 'hfhub' package.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/cornball-ai/chatterbox
BugReports: https://github.com/cornball-ai/chatterbox/issues
Depends: R (>= 4.0.0)
Imports: torch (>= 0.17.0), tuneR, jsonlite, hfhub, safetensors (>= 0.1.1)
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-06-21 15:19:20 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], Resemble AI [cph] )
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-06-25 11:50:18 UTC

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New package CAFT with initial version 0.1.0
Package: CAFT
Title: Rank-Based Compositional Analysis using Log-Linear Models for Microbiome Data with Zero Cells
Version: 0.1.0
Date: 2026-06-09
Description: Provides rank-based compositional differential abundance analysis for microbiome count data with zero cells using the compositional accelerated failure time model of Satten, Li and Zhao (2025) "CAFT: A Compositional Log-Linear Model for Microbiome Data with Zero Cells" <doi:10.1101/2025.11.26.690468>. Zero counts are treated as censored observations below sample-specific detection limits, avoiding the use of pseudocounts. The package implements estimation and hypothesis testing procedures for assessing associations between microbial taxa and covariates while accounting for the compositional structure of sequencing count data. It supports taxon-level differential abundance analysis, estimation of regression effects under censoring induced by detection limits, and inference based on rank-based methods that remain applicable in the presence of excess zeros. Functions are provided for model fitting, significance testing, extraction of effect estimates, and summarization of results ac [...truncated...]
Imports: doParallel, doRNG, expm, foreach, ggplot2, ggtext, ICSNP, MASS, stats
License: LGPL (>= 2)
Depends: R (>= 4.3.0)
URL: https://github.com/mli171/CAFT
BugReports: https://github.com/mli171/CAFT/issues
Suggests: graphics, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-21 06:31:16 UTC; mli171
Author: Glen A. Satten [aut, ctb, cph], Mo Li [aut, ctb, cre, cph], Ni Zhao [aut, ctb, cph]
Maintainer: Mo Li <mo.li@louisiana.edu>
Repository: CRAN
Date/Publication: 2026-06-25 11:20:14 UTC

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Package ui updated to version 1.0.1 with previous version 0.1.1 dated 2019-11-11

Title: Uncertainty Intervals and Sensitivity Analysis for Missing Data
Description: Implements functions to derive uncertainty intervals for (i) regression (linear and probit) parameters under missing not at random (non-ignorable missingness) as introduced in Genbäck, M., Stanghellini, E., and de Luna, X. (2015) <doi:10.1007/s00362-014-0610-x> and Genbäck, M., Ng, N., Stanghellini, E., and de Luna, X. (2018) <doi:10.1007/s10433-017-0448-x>. Also includes methods for doubly robust and outcome regression estimators of average causal effects under unobserved confounding as in Genbäck, M. and de Luna, X. (2018) <doi:10.1111/biom.13001>, and for partial correlation analysis following Gorbach, T. and de Luna, X. (2018) <doi:10.1016/j.spl.2018.05.027>.
Author: Minna Genbaeck [aut, cre], Tetiana Gorbach [aut]
Maintainer: Minna Genbaeck <minna.genback@umu.se>

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Package refugees updated to version 2025.12.1 with previous version 2025.12.0 dated 2026-06-15

Title: UNHCR Refugee Population Statistics Database
Description: The Refugee Population Statistics Database published by The Office of The United Nations High Commissioner for Refugees (UNHCR) contains information about forcibly displaced populations spanning more than 70 years of statistical activities. It covers displaced populations such as refugees, asylum-seekers and internally displaced people, including their demographics. Stateless people are also included, most of who have never been displaced. The database also reflects the different types of solutions for displaced populations such as repatriation or resettlement. More information on the data and methodology can be found on the UNHCR Refugee Data Finder <https://www.unhcr.org/refugee-statistics/>.
Author: Hisham Galal [aut], Ahmadou Dicko [aut], Janis Kreuder [cre], UNHCR [cph]
Maintainer: Janis Kreuder <kreuder@unhcr.org>

Diff between refugees versions 2025.12.0 dated 2026-06-15 and 2025.12.1 dated 2026-06-25

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More information about refugees at CRAN
Permanent link

New package prepR4pcm with initial version 1.0.0
Package: prepR4pcm
Title: Prepare Data and Trees for Phylogenetic Comparative Methods
Version: 1.0.0
Description: Reconcile species names across datasets and phylogenetic trees for comparative biology workflows. Identifies mismatches due to formatting differences, taxonomic synonymy, and spelling errors. Produces detailed reports documenting how each name was resolved, which taxonomic authority was used, and what remains unresolved. Supports exact matching, name normalisation, synonym resolution via local taxonomic databases, and fuzzy matching for likely typos. Detects taxonomic splits and lumps. For methodological context, see Nakagawa et al. (2026) <doi:10.32942/X2468Z>.
License: MIT + file LICENSE
URL: https://github.com/itchyshin/prepR4pcm, https://itchyshin.github.io/prepR4pcm/
BugReports: https://github.com/itchyshin/prepR4pcm/issues
Date: 2026-06-16
Language: en-GB
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ape, cli, rlang, tibble
Suggests: caper, clootl, digest, dplyr, fishtree, httr2, knitr, MCMCglmm, phytools, piggyback, pkgdown, readr, rgnparser, rmarkdown, rotl, rtrees, spelling, stringr, taxadb, testthat (>= 3.0.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-20 18:45:02 UTC; z3437171
Author: Shinichi Nakagawa [aut, cre, cph] , Santiago Ortega [aut], Ayumi Mizuno [aut], Eduardo S.A. Santos [aut], Malgorzata Lagisz [aut] , Bhavya Jain [aut], Jimuel Jr Celeste [aut], Sergio Poo Hernandez [aut]
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-25 11:00:13 UTC

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Permanent link

Package PacketLLM updated to version 0.1.2 with previous version 0.1.1 dated 2025-08-23

Title: AI Assistant Gadget for 'RStudio'
Description: Provides an interactive 'RStudio' gadget for working with an AI assistant during package and script development. The gadget can use selected editor text, the active source file, package metadata, and uploaded files as context for code explanation, code generation, documentation, and review workflows. It offers model presets, assistant behavior settings, responsive code-focused output, and explicit copy, insert, and replace actions for the active source editor. API interactions via the 'httr' package are performed asynchronously using 'promises' and 'future' to avoid blocking the R console. The backend is configured via the OPENAI_API_KEY environment variable.
Author: Antoni Czolgowski [aut, cre]
Maintainer: Antoni Czolgowski <antoni.czolgowski@gmail.com>

Diff between PacketLLM versions 0.1.1 dated 2025-08-23 and 0.1.2 dated 2026-06-25

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More information about PacketLLM at CRAN
Permanent link

Package greenSD readmission to version 0.2.0 with previous version 0.1.1 dated 2025-10-30

Title: Access and Analyze Global GreenSpace Spatial Data
Description: Access and analyze multi-band greenspace seasonality data cubes (available for 1,028 major global cities), global Normalized Difference Vegetation Index / land cover data from the European Space Agency WorldCover 10m Dataset, and Sentinel-2-l2a images. Users can download data using bounding boxes, city names, and filter by year or seasonal time window. The package also supports calculating human exposure to greenspace using a population-weighted greenspace exposure model introduced by Chen et al. (2022) <doi:10.1038/s41467-022-32258-4> based on Global Human Settlement Layer population data, and calculating a set of greenspace morphology metrics at patch and landscape levels.
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy111@gmail.com>

This is a re-admission after prior archival of version 0.1.1 dated 2025-10-30

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More information about greenSD at CRAN
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Package cpsvote updated to version 0.2.0 with previous version 0.1.0 dated 2020-11-05

Title: A Toolbox for Using the CPS’s Voting and Registration Supplement
Description: Provides automated methods for downloading, recoding, and merging selected years of the Current Population Survey's Voting and Registration Supplement <https://www.nber.org/research/data/current-population-survey-cps-supplements-voting-and-registration>, a large N national survey about registration, voting, and non-voting in United States federal elections. Provides documentation for appropriate use of sample weights to generate statistical estimates, drawing from Hur & Achen (2013) <doi:10.1093/poq/nft042> and McDonald (2018) <https://www.electproject.org/election-data/voter-turnout-data>.
Author: Jay Lee [aut], Paul Gronke [aut, cre], Frank Adonteng [ctb], John Curiel [ctb]
Maintainer: Paul Gronke <gronkep@reed.edu>

Diff between cpsvote versions 0.1.0 dated 2020-11-05 and 0.2.0 dated 2026-06-25

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Package impectR updated to version 2.5.6 with previous version 2.5.5 dated 2026-04-14

Title: Access Data from the 'Impect' API
Description: Pull data from the 'Impect' Customer API <https://glossary.impect.com/api-design>. The package can retrieve data such as events or match sums.
Author: Impect GmbH [cph], Florian Schmitt [aut, cre], Thomas Walentin [ctb]
Maintainer: Florian Schmitt <florian.schmitt@impect.com>

Diff between impectR versions 2.5.5 dated 2026-04-14 and 2.5.6 dated 2026-06-25

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More information about impectR at CRAN
Permanent link

Package gridExtra updated to version 2.3.1 with previous version 2.3 dated 2017-09-09

Title: Miscellaneous Functions for "Grid" Graphics
Description: Provides a number of user-level functions to work with "grid" graphics, notably to arrange multiple grid-based plots on a page, and draw tables.
Author: Baptiste Auguie [aut, cre], Anton Antonov [ctb]
Maintainer: Baptiste Auguie <baptiste.auguie@vuw.ac.nz>

Diff between gridExtra versions 2.3 dated 2017-09-09 and 2.3.1 dated 2026-06-25

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Package opdisDownsampling updated to version 1.6 with previous version 1.0.1 dated 2024-04-15

Title: Optimal Distribution Preserving Down-Sampling of Bio-Medical Data
Description: An optimized method for distribution-preserving class-proportional down-sampling of bio-medical data <doi:10.1371/journal.pone.0255838>.
Author: Jorn Lotsch [aut, cre] , Sebastian Malkusch [aut] , Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>

Diff between opdisDownsampling versions 1.0.1 dated 2024-04-15 and 1.6 dated 2026-06-25

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Package chatRater updated to version 1.3.1 with previous version 1.3.0 dated 2026-05-14

Title: A Tool for Rating Text/Image/Audio Stimuli via 'LLMs'
Description: Evaluates stimuli using Large Language Models. Supports multiple LLM providers: 'OpenAI', 'Anthropic', 'Ollama', 'LM Studio', 'DeepSeek', 'Groq', 'Mistral', and 'OpenAI-compatible' endpoints. Stimuli: plain text, local image/audio files, or image URLs. Audio is transcribed via 'OpenAI Whisper' before rating. Supports numeric, text, and raw return types.
Author: Shiyang Zheng [aut, cre]
Maintainer: Shiyang Zheng <Shiyang.Zheng@nottingham.ac.uk>

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Package VertexWiseR updated to version 1.5.2 with previous version 1.5.1 dated 2026-04-08

Title: Simplified Vertex-Wise Analyses of Whole-Brain and Subcortical Surface
Description: Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep', 'XCP-D', 'HCP' and 'CAT12' preprocessed datasets, 'HippUnfold' hippocampal outputs and 'SubCortexMesh' subcortical outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>

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Package saber updated to version 0.7.2 with previous version 0.7.1 dated 2026-05-15

Title: Context Engineering for Large Language Model Agents
Description: Context-engineering primitives for Artificial Intelligence (AI) coding agents working in R. Assembles agent context from memory and instruction files ('AGENTS.md', 'CLAUDE.md'), traces function call blast radius across projects, generates project briefings, parses source into Abstract Syntax Tree (AST) symbol indices, discovers dependency graphs, and introspects installed packages. Zero dependencies.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package pedbuildr updated to version 0.4.0 with previous version 0.3.0 dated 2023-08-22

Title: Pedigree Reconstruction
Description: Reconstruct pedigrees from genotype data, by optimising the likelihood over all possible pedigrees subject to given restrictions. Tailor-made plots facilitate evaluation of the output. This package is part of the 'pedsuite' ecosystem for pedigree analysis. In particular, it imports 'pedprobr' for calculating pedigree likelihoods and 'forrel' for estimating pairwise relatedness.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package mums2 updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-10

Title: Microbial Ecology by Tandem Mass Spectrometry
Description: Tools that researchers can use to analyze untargeted metabolomics data generated using tandem mass spectroscopy from microbial communities. The overall approach taken to analyze metabolomics data parallels that used to analyze microbial communities using 16S rRNA gene sequencing data. Thus, we have a number of methods a user is able to use to generate data. Firstly, users can import Mass Spectrometry 1(MS1) data and filter it. Users are then able to match Mass Spectrometry 2(MS2) data to the filtered (or unfiltered) MS1 data. With the matched data users are able to cluster it, annotate it, predict de novo chemical formulas and calculate alpha and beta diversity. For chemical formula predictions, this was the method used; "Towards de novo identification of metabolites by analyzing tandem mass spectra" (Sebastian Böcker, Florian Rasche (2008) <doi:10.1093/bioinformatics/btn270>). The similarity/dissimilarity calculations we used to cluster our data together was: "Spectral entropy o [...truncated...]
Author: Allison Mason [aut] , Gregory Johnson [aut] , Patrick Schloss [aut, cre] , Anton Pervukhin [ctb, cph], Florian Rasche [ctb, cph], Henner Sudek [ctb, cph], Marcel Martin [ctb, cph], Yuanyue Li [ctb, cph]
Maintainer: Patrick Schloss <pschloss@umich.edu>

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Package MD2sample updated to version 1.2.2 with previous version 1.2.1 dated 2026-05-12

Title: Various Methods for the Two Sample Problem in D>1 Dimensions
Description: The routine twosample_test() in this package runs the two-sample test using various test statistic for multivariate data. The user can also run several tests and then find a p value adjusted for simultaneous inference. The p values are found via permutation or via the parametric bootstrap. The routine twosample_power() allows the estimation of the power of the tests. 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. For details of the methods and references see the included vignettes.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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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>

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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>

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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>

Diff between fable.intermittent versions 0.1.0 dated 2026-06-18 and 0.1.1 dated 2026-06-24

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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>

Diff between rformat versions 0.1.0 dated 2026-03-09 and 0.2.0 dated 2026-06-24

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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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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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More information about gpboost at CRAN
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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

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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>

Diff between dtComb versions 1.0.7 dated 2025-03-30 and 1.0.8 dated 2026-06-24

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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>

Diff between muttest versions 0.2.0 dated 2026-05-14 and 0.2.1 dated 2026-06-24

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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>

Diff between freestiler versions 0.1.7 dated 2026-05-12 and 0.2.0 dated 2026-06-24

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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

Diff between dsmSearch versions 1.2.2 dated 2025-10-24 and 1.2.4 dated 2026-06-24

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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>

Diff between imp4p versions 1.2 dated 2021-09-02 and 1.3 dated 2026-06-24

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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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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>

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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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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

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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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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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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>

Diff between migraph versions 1.6.2 dated 2026-04-17 and 1.6.6 dated 2026-06-24

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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>

Diff between MatchingPursuit versions 1.0.1 dated 2026-04-14 and 1.1.0 dated 2026-06-24

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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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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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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

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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

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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 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 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 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 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 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 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 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>

Diff between RGraphSpace versions 1.4.0 dated 2026-06-13 and 1.4.1 dated 2026-06-24

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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>

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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>

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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>

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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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Tue, 23 Jun 2026

Package apexcharter updated to version 0.5.0 with previous version 0.4.5 dated 2026-01-07

Title: Create Interactive Chart with the JavaScript 'ApexCharts' Library
Description: Provides an 'htmlwidgets' interface to 'apexcharts.js'. 'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API. 'Apexcharts' examples and documentation are available here: <https://apexcharts.com/>.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], Juned Chhipa [cph] , Mike Bostock [cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package OlinkAnalyze updated to version 5.0.2 with previous version 5.0.0 dated 2026-03-28

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

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Package CNSigs updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-08

Title: Analysis of Copy Number Signatures
Description: A workflow to generate and analyze signatures based on copy number data using non-negative matrix factorization (NMF) in an approach similar to that used in mutational signatures. It can be used to extract features from Copy number segment data and use that to find a subset of copy number signatures which can be further used to correlate with other relevant data. For more on 'NMF' see Gaujoux (2013) <doi:10.1186/1471-2105-11-367>.
Author: David Tallman [aut], Shawn Striker [cre, ctb], Daniel Stover [cph]
Maintainer: Shawn Striker <striker.35@osu.edu>

Diff between CNSigs versions 0.1.0 dated 2026-01-08 and 0.1.1 dated 2026-06-23

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Package SEQTaRget updated to version 1.4.3 with previous version 1.4.2 dated 2026-05-21

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

Diff between SEQTaRget versions 1.4.2 dated 2026-05-21 and 1.4.3 dated 2026-06-23

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Package ggRandomForests updated to version 3.2.0 with previous version 3.1.2 dated 2026-06-13

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualisations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Author: John Ehrlinger [aut, cre]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

Diff between ggRandomForests versions 3.1.2 dated 2026-06-13 and 3.2.0 dated 2026-06-23

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Package fmesher updated to version 0.8.0 with previous version 0.7.0 dated 2026-02-19

Title: Triangle Meshes and Related Geometry Tools
Description: Generate planar and spherical triangle meshes, compute finite element calculations for 1-, 2-, and 3-dimensional flat and curved manifolds with associated basis function spaces, methods for lines and polygons, and transparent handling of coordinate reference systems and coordinate transformation, including 'sf' and 'sp' geometries. The core 'fmesher' library code was originally part of the 'INLA' package, and implements parts of "Triangulations and Applications" by Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.
Author: Finn Lindgren [aut, cre, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb] , Fabian E. Bachl [ctb]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

Diff between fmesher versions 0.7.0 dated 2026-02-19 and 0.8.0 dated 2026-06-23

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Package ernm updated to version 1.0.5 with previous version 1.0.4 dated 2025-10-14

Title: Exponential-Family Random Network Models
Description: Estimation of fully and partially observed Exponential-Family Random Network Models (ERNM). Exponential-family Random Graph Models (ERGM) and Gibbs Fields are special cases of ERNMs and can also be estimated with the package. Please cite Fellows and Handcock (2012), "Exponential-family Random Network Models" available at <doi:10.48550/arXiv.1208.0121>.
Author: Ian Fellows [aut], Duncan Clark [aut, cre]
Maintainer: Duncan Clark <dac6@williams.edu>

Diff between ernm versions 1.0.4 dated 2025-10-14 and 1.0.5 dated 2026-06-23

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Package distributional updated to version 0.8.0 with previous version 0.7.1 dated 2026-06-11

Title: Vectorised Probability Distributions
Description: Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
Author: Mitchell O'Hara-Wild [aut, cre] , Matthew Kay [aut] , Alex Hayes [aut] , Rob Hyndman [aut] , Earo Wang [ctb] , Vencislav Popov [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package bfbin2arm updated to version 0.1.4 with previous version 0.1.3 dated 2026-06-01

Title: Bayes Factor Design for Two-Arm Binomial Trials
Description: Design and analysis of one- and two-stage binomial clinical phase II trials using Bayes factors. Implements Bayes factors for point-null and directional hypotheses, predictive densities under different hypotheses, and power and sample size calibration. Both one-arm trials with only a single treatment arm and two-arm trials with treatment and control arm are implemented for the one- and two-stage designs.
Author: Riko Kelter [aut, cre]
Maintainer: Riko Kelter <rkelter@uni-koeln.de>

Diff between bfbin2arm versions 0.1.3 dated 2026-06-01 and 0.1.4 dated 2026-06-23

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Package stratifyR readmission to version 1.0-5 with previous version 1.0-4 dated 2025-02-23

Title: Optimal Stratification of Univariate Populations
Description: The stratification of univariate populations under stratified sampling designs is implemented according to Khan et al. (2002) <doi:10.1177/0008068320020518> and Khan et al. (2015) <doi:10.1080/02664763.2015.1018674> in this library. It determines the Optimum Strata Boundaries (OSB) and Optimum Sample Sizes (OSS) for the study variable, y, using the best-fit frequency distribution of a survey variable (if data is available) or a hypothetical distribution (if data is not available). The method formulates the problem of determining the OSB as mathematical programming problem which is solved by using a dynamic programming technique. If a dataset of the population is available to the surveyor, the method estimates its best-fit distribution and determines the OSB and OSS under Neyman allocation directly. When the dataset is not available, stratification is made based on the assumption that the values of the study variable, y, are available as hypothetical realizations of proxy va [...truncated...]
Author: Karuna G. Reddy [aut, cre], M. G. M. Khan [aut]
Maintainer: Karuna G. Reddy <karuna.reddy@auckland.ac.nz>

This is a re-admission after prior archival of version 1.0-4 dated 2025-02-23

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Package pcvr updated to version 1.4.1 with previous version 1.3.1 dated 2025-08-18

Title: Plant Phenotyping and Bayesian Statistics
Description: Analyse common types of plant phenotyping data, provide a simplified interface to longitudinal growth modeling and select Bayesian statistics, and streamline use of 'PlantCV' output. Several Bayesian methods and reporting guidelines for Bayesian methods are described in Kruschke (2018) <doi:10.1177/2515245918771304>, Kruschke (2013) <doi:10.1037/a0029146>, and Kruschke (2021) <doi:10.1038/s41562-021-01177-7>.
Author: Josh Sumner [aut, cre] , Jeffrey Berry [aut] , Noah Fahlgren [rev] , Donald Danforth Plant Science Center [cph]
Maintainer: Josh Sumner <jsumner@danforthcenter.org>

Diff between pcvr versions 1.3.1 dated 2025-08-18 and 1.4.1 dated 2026-06-23

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Permanent link

New package msprog with initial version 1.0.0
Package: msprog
Title: Reproducible Assessment of Disability Course in Multiple Sclerosis
Version: 1.0.0
Description: Analyse disability course in multiple sclerosis (MS) from longitudinal data. The package provides a flexible framework for identifying disability events under user-specified criteria, allowing adaptation to different study designs and endpoints. Tools are included to facilitate transparent and reproducible reporting of the settings used in the analysis. For an introduction to the package and illustrative applications, see Montobbio et al. (2024) <doi:10.1177/13524585241243157>.
Encoding: UTF-8
LazyData: true
Imports: stats, dplyr, rlang
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, xfun, DT
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-06-18 13:56:40 UTC; nmontobbio
Author: Noemi Montobbio [aut, cre] , Francesca Bovis [rev], Luca Carmisciano [rev]
Maintainer: Noemi Montobbio <noemi.montobbio@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-23 16:00:02 UTC

More information about msprog at CRAN
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Package HDTSA updated to version 1.0.6-1 with previous version 1.0.6 dated 2026-04-03

Title: High Dimensional Time Series Analysis Tools
Description: An implementation for high-dimensional time series analysis methods, including factor model for vector time series proposed by Lam and Yao (2012) <doi:10.1214/12-AOS970> and Chang, Guo and Yao (2015) <doi:10.1016/j.jeconom.2015.03.024>, martingale difference test proposed by Chang, Jiang and Shao (2023) <doi:10.1016/j.jeconom.2022.09.001>, principal component analysis for vector time series proposed by Chang, Guo and Yao (2018) <doi:10.1214/17-AOS1613>, cointegration analysis proposed by Zhang, Robinson and Yao (2019) <doi:10.1080/01621459.2018.1458620>, unit root test proposed by Chang, Cheng and Yao (2022) <doi:10.1093/biomet/asab034>, white noise tests proposed by Chang, Yao and Zhou (2017) <doi:10.1093/biomet/asw066> and Chang et al. (2026+), CP-decomposition for matrix time series proposed by Chang et al. (2023) <doi:10.1093/jrsssb/qkac011> and Chang et al. (2026+) <doi:10.48550/arXiv.2410.05634>, CP-decomposition for tensor ti [...truncated...]
Author: Jinyuan Chang [aut], Jing He [aut], Chen Lin [aut, cre], Qiwei Yao [aut]
Maintainer: Chen Lin <linchen@smail.swufe.edu.cn>

Diff between HDTSA versions 1.0.6 dated 2026-04-03 and 1.0.6-1 dated 2026-06-23

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Permanent link

Package dbSpatial updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-27

Title: Spatial Data Operations for Database-Backed Geometries
Description: Provides database-backed spatial geometry classes and methods for working with vector spatial data in 'DuckDB'. The package supports loading, converting, querying, joining, and measuring spatial geometries through familiar 'sf'-style interfaces while keeping geometry columns lazy inside the database. It integrates with 'dbProject' to preserve database paths, live connections, and spatial table metadata across interactive sessions. The package follows the Simple Features framework described by Pebesma (2018) <doi:10.32614/RJ-2018-009> and uses DuckDB's spatial extension <https://duckdb.org/docs/stable/core_extensions/spatial/overview.html>.
Author: Edward C. Ruiz [aut, cre] , Jiaji George Chen [aut], Ruben Dries [aut, rev]
Maintainer: Edward C. Ruiz <ecr7407@gmail.com>

Diff between dbSpatial versions 0.1.1 dated 2026-05-27 and 0.1.2 dated 2026-06-23

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New package geer with initial version 0.1.0
Package: geer
Title: Bias-Reduced and Penalized Generalized Estimating Equations
Version: 0.1.0
Description: Fits marginal regression models for repeated or clustered responses using generalized estimating equations (GEE). Provides ordinary GEE estimators, bias-reduced and bias-corrected GEE estimators, and Jeffreys-type penalized GEE estimators for binary, count and continuous responses. Methods are described in Touloumis (2026a) <doi:10.48550/arXiv.2606.16043> and Touloumis (2026b) <doi:10.48550/arXiv.2606.16058>.
License: GPL-3
URL: https://github.com/AnestisTouloumis/geer
BugReports: https://github.com/AnestisTouloumis/geer/issues
Depends: R (>= 4.0.0)
Imports: brglm2, generics, Rcpp (>= 1.0.9)
LinkingTo: Rcpp, RcppArmadillo
Suggests: covr, emmeans (>= 2.0.0), estimability, testthat (>= 3.0.0), tibble
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-06-18 12:42:46 UTC; Anestis
Author: Anestis Touloumis [aut, cre]
Maintainer: Anestis Touloumis <A.Touloumis@brighton.ac.uk>
Repository: CRAN
Date/Publication: 2026-06-23 14:50:02 UTC

More information about geer at CRAN
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New package BayesFR with initial version 1.0.1
Package: BayesFR
Title: Fitting Functional Responses in 1- and 2-Prey Systems
Version: 1.0.1
Description: Easy application of Bayesian inference for functional responses via 'brms'. This package allows to fit various FR models for single- and multi-prey experiments by providing nonlinear prediction functions for 'brms'. It uses dynamical prediction models to correct for prey depletion. The 'brms' framework facilitates statistical modeling and enables users to conveniently incorporate covariates such as temperature gradients, experimental treatment variables, or random effects that account for grouping in experimental units. Default 'brms' functions make it easy to perform model checking, model comparison and hypothesis testing. Potential statistical issues with data from feeding trials, such as overdispersion, can be resolved by effortlessly switching between likelihood functions. This package, together with its tutorials, should provide students and researchers with a comprehensive and integrated statistical framework for easily testing their hypotheses on trophic interactions. References [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/benjamin-rosenbaum/BayesFR
BugReports: https://github.com/benjamin-rosenbaum/BayesFR/issues
LazyData: TRUE
Imports: brms, ggplot2, tidyr
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-18 12:25:07 UTC; br86redu
Author: Benjamin Rosenbaum [aut, cre]
Maintainer: Benjamin Rosenbaum <benjamin.rosenbaum@idiv.de>
Repository: CRAN
Date/Publication: 2026-06-23 14:50:08 UTC

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Package AnalyzeFMRI updated to version 1.1-26 with previous version 1.1-25 dated 2025-07-24

Title: Functions for Analysis of fMRI Datasets Stored in the ANALYZE or 'NIFTI' Format
Description: Functions for I/O, visualisation and analysis of functional Magnetic Resonance Imaging (fMRI) datasets stored in the ANALYZE or 'NIFTI' format. Note that the latest version of 'XQuartz' seems to be necessary under MacOS.
Author: Pierre Lafaye De Micheaux [aut, cre], Jonathan L Marchini [aut], Cleve Moler [cph] , Jack Dongarra [cph] , Richard Hanson [cph] , Sven Hammarling [cph] , Jeremy Du Croz [cph]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

Diff between AnalyzeFMRI versions 1.1-25 dated 2025-07-24 and 1.1-26 dated 2026-06-23

 DESCRIPTION        |    8 ++++----
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New package srr with initial version 1.0.0
Package: srr
Title: 'rOpenSci' Software Review 'Roclets'
Version: 1.0.0
Description: Companion package to 'rOpenSci' statistical software review project ('rOpenSci' authors, 2021; <doi:10.5281/zenodo.5556756>), to facilitate documenting software compliance with statistical standards using 'Roxygen2' 'roclets'.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/srr/, https://github.com/ropensci-review-tools/srr
BugReports: https://github.com/ropensci-review-tools/srr/issues
Imports: cli, clipr, fs, gert, here, methods, Rcpp, roxygen2, rprojroot
Suggests: jsonlite, knitr, pkgbuild, rmarkdown, testthat (>= 3.0.0), toml
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-06-18 09:45:06 UTC; smexus
Author: Mark Padgham [aut, cre]
Maintainer: Mark Padgham <mark@ropensci.org>
Repository: CRAN
Date/Publication: 2026-06-23 14:00:02 UTC

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New package rphylo with initial version 0.1.1
Package: rphylo
Title: Phylogenetic Analysis with Dependent Discrete Models
Version: 0.1.1
Description: Implementation of dependent discrete models (with reversible jump MCMC) derived from 'BayesTraits' V5.0.3 <https://github.com/AndrewPMeade/BayesTraits-Release/tree/Release>. Original software copyright Andrew Meade and contributors, distributed under GPL-3. Modifications for this package by Vivian G. Li <liguo.vivian@gmail.com>. The following articles should be referenced when using this package: Pagel, M., A. Meade and D. Barker (2004) "Bayesian estimation of ancestral character states on phylogenies" <doi:10.1080/10635150490522232>; Pagel, M. (1994) "Detecting correlated evolution on phylogenies: a general method for the comparative analysis of discrete characters" <doi:10.1098/rspb.1994.0006>; Pagel, M. and A. Meade (2006) "Bayesian analysis of correlated evolution of discrete characters by reversible-jump Markov chain Monte Carlo" <doi:10.1086/503444>.
License: GPL-3
Encoding: UTF-8
Imports: ape, phangorn, expm, stats
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-06-18 03:16:46 UTC; v
Author: Vivian G. Li [aut, cre], Andrew Meade [ctb] , Mark Pagel [ctb]
Maintainer: Vivian G. Li <liguo.vivian@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-23 13:30:02 UTC

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New package llmimpute with initial version 0.1.0
Package: llmimpute
Title: Missing Data Imputation via Language Models and Statistics
Version: 0.1.0
Description: Provides missing data imputation through two complementary engines: a large language model engine that communicates with the 'Anthropic' 'Claude' application programming interface for context-aware semantic imputation, and a fully self-contained offline engine implementing nineteen statistical and machine learning algorithms entirely in base R with no additional package dependencies. Offline methods include mean, median, mode, last observation carried forward, next observation carried backward, hot-deck, predictive mean matching, k-nearest neighbours, ordinary least-squares regression, Lasso with coordinate descent, Ridge with closed-form solution, Bayesian Ridge regression with evidence approximation following MacKay (1992), support vector regression with a radial basis function kernel, classification and regression trees, random forests, gradient boosting, iterative random forest imputation, principal component analysis imputation via iterative singular value decomposition, and nucle [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), methods, jsonlite (>= 1.8.0), cli (>= 3.6.0),
Suggests: testthat (>= 3.0.0), knitr (>= 1.40), rmarkdown (>= 2.14), withr (>= 2.5.0)
VignetteBuilder: knitr
BugReports: https://cran.r-project.org/submit.html
NeedsCompilation: no
Packaged: 2026-06-18 06:25:03 UTC; acer
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Author: Sadikul Islam [aut, cre] , Rajesh Kaushal [aut]
Repository: CRAN
Date/Publication: 2026-06-23 13:40:02 UTC

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New package LatSquare with initial version 0.4.1
Package: LatSquare
Title: Analysis of Latin Square and Semi-Latin Square Designs
Version: 0.4.1
Description: Provides functions for the analysis of Latin Square and Semi-Latin Square (Latin Rectangle) experimental designs, including analysis of variance (ANOVA), least significant difference (LSD) tests, and calculation of summary statistics. The implemented methods follow Munzert (1992, ISBN: 3-489-53410-7).
Depends: R (>= 4.0.0)
Imports: openxlsx
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-18 09:18:46 UTC; Heinrich.Holzner
Author: Heinrich Holzner [aut, cre]
Maintainer: Heinrich Holzner <heholzner@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-23 14:00:09 UTC

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New package imdR with initial version 0.1.1
Package: imdR
Title: Download, Process and Visualize IMD Gridded Meteorological Data
Version: 0.1.1
Description: Interface to India Meteorological Department (IMD) gridded daily rainfall (0.25 degree, 1901-present) and temperature (1.0 degree, 1951-present) binary data. Provides functions to download, read, extract by point or boundary, compute climate indices, perform trend analysis, and produce publication-quality maps with Survey of India approved boundaries.
License: MIT + file LICENSE
URL: https://github.com/Subhradip25/imdR
BugReports: https://github.com/Subhradip25/imdR/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: ggplot2, httr2, Kendall, ncdf4, rlang, sf, terra, tidyterra, zoo
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-18 08:44:32 UTC; subhradip
Author: Subhradip Bhattacharjee [aut, cre], Amitava Panja [aut], Ankita Chakraborty [aut], Basavareddy [aut]
Maintainer: Subhradip Bhattacharjee <subhradip25@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-23 13:50:02 UTC

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New package BsplineQuantReg with initial version 0.1.0
Package: BsplineQuantReg
Title: 'Constrained Quantile Regression with Cubic B-Splines'
Version: 0.1.0
Date: 2026-06-01
Description: Quantile regression with cubic B-splines under monotonicity and convexity constraints using the Karlin-Studden SOCP formulation. The method is described in Abbes (2026) <doi:10.5281/zenodo.17427913>. This R implementation is intended for demonstration and prototyping; all B-spline and polynomial functions have been rewritten for consistency. A faster version written in 'Python' is available at <https://github.com/alexandreabbes/Constrained-Quantile-Regression-with-cubic-splines>.
License: GPL-3
URL: https://github.com/alexandreabbes/BsplineQuantReg, https://doi.org/10.5281/zenodo.17427913
BugReports: https://github.com/alexandreabbes/BsplineQuantReg/issues
Depends: R (>= 3.5.0)
Imports: CVXR
Suggests: cobs,quantreg,pracma
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-18 08:24:17 UTC; Abbes
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>
Repository: CRAN
Date/Publication: 2026-06-23 13:50:08 UTC

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Package broman updated to version 0.96 with previous version 0.94 dated 2026-06-08

Title: Karl Broman's R Code
Description: Miscellaneous R functions, including functions related to graphics (mostly for base graphics), permutation tests, running mean/median, and general utilities.
Author: Karl W Broman [aut, cre] , Aimee Teo Broman [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between broman versions 0.94 dated 2026-06-08 and 0.96 dated 2026-06-23

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Package RClickhouse updated to version 0.6.11 with previous version 0.6.10 dated 2025-02-26

Title: 'Yandex Clickhouse' Interface for R with Basic 'dplyr' Support
Description: 'Yandex Clickhouse' (<https://clickhouse.com/>) is a high-performance relational column-store database to enable big data exploration and 'analytics' scaling to petabytes of data. Methods are provided that enable working with 'Yandex Clickhouse' databases via 'DBI' methods and using 'dplyr'/'dbplyr' idioms.
Author: Christian Hotz-Behofsits [aut, cre], Daniel Winkler [aut], Luca Rauchenberger [aut], Peter Knaus [aut], Clemens Danninger [aut], Daria Yudaeva [aut], Simon Stiebellehner [aut], Dan Egnor [aut], Vlad Losev [aut], Keith Ray [aut], Zhanyong Wan [aut], M [...truncated...]
Maintainer: Christian Hotz-Behofsits <christian.hotz-behofsits@wu.ac.at>

Diff between RClickhouse versions 0.6.10 dated 2025-02-26 and 0.6.11 dated 2026-06-23

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Package optedr updated to version 3.0.0 with previous version 2.2.0 dated 2025-02-11

Title: Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models
Description: Calculates D-, Ds-, A-, I- and L-optimal designs, weighted combinations of these via a Compound criterion, and KL-optimal designs for model discrimination, for non-linear single- and multi-factor models, via an implementation of the cocktail algorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>). Multi-factor models use design variables x1, x2, … with a named-list design space; single-factor models remain backward compatible. Compares designs via their efficiency, augments any design with a controlled efficiency loss, and provides efficient rounding functions to convert approximate designs to exact ones.
Author: Carlos de la Calle-Arroyo [aut, cre] , Jesus Lopez-Fidalgo [aut] , Licesio J. Rodriguez-Aragon [aut]
Maintainer: Carlos de la Calle-Arroyo <carlos.calle.arroyo@gmail.com>

Diff between optedr versions 2.2.0 dated 2025-02-11 and 3.0.0 dated 2026-06-23

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Package maldipickr updated to version 1.3.3 with previous version 1.3.1 dated 2024-09-12

Title: Dereplicate and Cherry-Pick Mass Spectrometry Spectra
Description: Convenient wrapper functions for the analysis of matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) spectra data in order to select only representative spectra (also called cherry-pick). The package covers the preprocessing and dereplication steps (based on Strejcek, Smrhova, Junkova and Uhlik (2018) <doi:10.3389/fmicb.2018.01294>) needed to cluster MALDI-TOF spectra before the final cherry-picking step. It enables the easy exclusion of spectra and/or clusters to accommodate complex cherry-picking strategies. Alternatively, cherry-picking using taxonomic identification MALDI-TOF data is made easy with functions to import inconsistently formatted reports.
Author: Charlie Pauvert [aut, cre, cph] , David Wylensek [ctb] , Selina Nuechtern [ctb], Thomas Clavel [ctb, fnd, cph]
Maintainer: Charlie Pauvert <cpauvert@ukaachen.de>

Diff between maldipickr versions 1.3.1 dated 2024-09-12 and 1.3.3 dated 2026-06-23

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Package FoRecoML updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-21

Title: Forecast Reconciliation with Machine Learning
Description: Nonlinear forecast reconciliation with machine learning in cross-sectional (Spiliotis et al. 2021 <doi:10.1016/j.asoc.2021.107756>), temporal, and cross-temporal (Rombouts et al. 2024 <doi:10.1016/j.ijforecast.2024.05.008>) frameworks.
Author: Daniele Girolimetto [aut, cre] , Yangzhuoran Fin Yang [aut] , Jeroen Rombouts [aut] , Ines Wilms [aut]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

Diff between FoRecoML versions 1.0.0 dated 2026-04-21 and 1.1.0 dated 2026-06-23

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More information about FoRecoML at CRAN
Permanent link

Package BayesRTMB updated to version 0.2.1 with previous version 0.1.1 dated 2026-06-01

Title: Bayesian Inference Using 'RTMB'
Description: Provides tools for Markov chain Monte Carlo (MCMC) and Maximum A Posteriori (MAP) estimation utilizing the 'RTMB' package. It supports various statistical models including generalized linear mixed models, factor analysis, item response theory, and multidimensional unfolding. The package allows users to easily transition between frequentist and Bayesian paradigms using a unified interface. Automatic differentiation and Laplace approximation follow Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, and MCMC sampling uses the No-U-Turn Sampler described by Hoffman and Gelman (2014) <https://jmlr.org/papers/v15/hoffman14a.html>.
Author: Hiroshi Shimizu [aut, cre]
Maintainer: Hiroshi Shimizu <simizu706@gmail.com>

Diff between BayesRTMB versions 0.1.1 dated 2026-06-01 and 0.2.1 dated 2026-06-23

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More information about BayesRTMB at CRAN
Permanent link

Package aion updated to version 1.7.1 with previous version 1.7.0 dated 2026-02-05

Title: Archaeological Time Series
Description: A toolkit for archaeological time series and time intervals. This package provides a system of classes and methods to represent and work with archaeological time series and time intervals. Dates are represented as "rata die" and can be converted to (virtually) any calendar defined by Reingold and Dershowitz (2018) <doi:10.1017/9781107415058>. This packages offers a simple API that can be used by other specialized packages.
Author: Nicolas Frerebeau [aut, cre] , Joe Roe [aut] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

Diff between aion versions 1.7.0 dated 2026-02-05 and 1.7.1 dated 2026-06-23

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Package rasterpic updated to version 0.5.1 with previous version 0.5.0 dated 2026-05-21

Title: Convert Digital Images to Spatially Referenced 'SpatRaster' Objects
Description: Convert digital images to spatially referenced 'SpatRaster' objects, as defined by the 'terra' package, using coordinates from supported spatial input classes. Supported inputs include numeric coordinate vectors and objects from the 'sf', 'terra' and 'stars' packages. The main function is an S3 generic, allowing other packages to extend support to additional spatial classes.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between rasterpic versions 0.5.0 dated 2026-05-21 and 0.5.1 dated 2026-06-23

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Package hyper2 updated to version 3.2-3 with previous version 3.2 dated 2025-11-12

Title: The Hyperdirichlet Distribution, Mark 2
Description: A suite of routines for the hyperdirichlet distribution and reified Bradley-Terry; supersedes the 'hyperdirichlet' package; uses 'disordR' discipline <doi:10.48550/ARXIV.2210.03856>. To cite in publications please use Hankin 2017 <doi:10.32614/rj-2017-061>, and for Generalized Plackett-Luce likelihoods use Hankin 2024 <doi:10.18637/jss.v109.i08>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between hyper2 versions 3.2 dated 2025-11-12 and 3.2-3 dated 2026-06-23

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Package gridpattern updated to version 1.4.2 with previous version 1.3.1 dated 2025-01-16

Title: 'grid' Pattern Grobs
Description: Provides 'grid' grobs that fill in a user-defined area with various patterns. Includes enhanced versions of the geometric and image-based patterns originally contained in the 'ggpattern' package as well as original 'pch', 'polygon_tiling', 'regular_polygon', 'rose', 'text', 'wave', and 'weave' patterns plus support for custom user-defined patterns.
Author: Trevor L. Davis [aut, cre] , Mike FC [aut] , ggplot2 authors [ctb]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between gridpattern versions 1.3.1 dated 2025-01-16 and 1.4.2 dated 2026-06-23

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Package geobr updated to version 2.0.1 with previous version 2.0.0 dated 2026-05-20

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

Diff between geobr versions 2.0.0 dated 2026-05-20 and 2.0.1 dated 2026-06-23

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Package scR updated to version 0.7.0 with previous version 0.4.0 dated 2024-12-23

Title: Empirical Sample Complexity Bounds
Description: Provides tools for estimating empirical sample complexity bounds for supervised learning tasks. The package supports simulation-based estimates of generalization curves, parametric extrapolation of empirical sample complexity bounds, theoretical bounds based on Vapnik-Chervonenkis dimension, and optional monotone Gaussian process extrapolation for users who install the external 'cmdstanr' workflow. For more details, see Carter and Choi (2024) <doi:10.31219/osf.io/evrcj>.
Author: Perry Carter [aut, cre] , Dahyun Choi [aut]
Maintainer: Perry Carter <pjc504@nyu.edu>

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Package pecanr updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-11

Title: Partial Eta-Squared for Crossed, Nested, and Mixed Linear Mixed Models
Description: Computes partial eta-squared effect sizes for fixed effects in linear mixed models fitted with the 'lme4' package. Supports crossed, nested, and mixed (crossed-and-nested) random effects structures with any number of grouping factors. Mixed designs handle cases where grouping factors are simultaneously crossed with some variables and nested within others (e.g., photos nested within models, but both crossed with participants). Factor predictors are supported directly, and a single factor-level (omnibus) effect size can be obtained for a multi-level factor or multi-df interaction. Random slope variances are translated to the outcome scale using a variance decomposition approach, correctly accounting for predictor scaling and interaction terms. Both general and operative effect sizes are provided, with optional parametric bootstrap confidence intervals. For correlated predictors, per-predictor effect sizes use unique (semipartial) variance by default. Methods are based on Correll, Melling [...truncated...]
Author: Brandon Cohen [aut, cre] , Joshua Correll [aut, ths]
Maintainer: Brandon Cohen <brandon.cohen-1@colorado.edu>

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Package nonabsdid updated to version 0.4.1 with previous version 0.3.2 dated 2026-06-18

Title: Visualize Heterogeneity-Robust Event Studies for Non-Absorbing Treatments
Description: Runs several heterogeneity-robust difference-in-differences (DID) event-study estimators for non-absorbing (i.e., treatment can switch on and off over time, allowing treatment reversal) binary treatments through their respective packages, harmonizes their output onto a common time axis and tidy data structure, and overlays them in a single 'ggplot2' panel for visual comparison. Supported estimators include those provided by 'DIDmultiplegtDYN', 'PanelMatch', and 'fect', with an optional naive two-way fixed-effects reference series via 'fixest'. The underlying methods are respectively described in Clement de Chaisemartin and Xavier D'Haultfoeuille. "Difference-in-Differences Estimators of Intertemporal Treatment Effects." The Review of Economics and Statistics (2026) <doi:10.1162/rest_a_01414>, Kosuke Imai, In Song Kim, and Erik H. Wang. "Matching methods for causal inference with time‐series cross‐sectional data." American Journal of Political Science 67.3 (2023) <doi:10.1111/a [...truncated...]
Author: Takuma Iwasaki [aut, cre]
Maintainer: Takuma Iwasaki <iwasakit@stanford.edu>

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Package nexus updated to version 0.6.1 with previous version 0.6.0 dated 2025-06-02

Title: Sourcing Archaeological Materials by Chemical Composition
Description: Exploration and analysis of compositional data in the framework of Aitchison (1986, ISBN: 978-94-010-8324-9). This package provides tools for chemical fingerprinting and source tracking of ancient materials.
Author: Nicolas Frerebeau [aut, cre] , Anne Philippe [aut] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package FoCo2 updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-13

Title: Coherent Forecast Combination for Linearly Constrained Multiple Time Series
Description: Methods and tools designed to improve the forecast accuracy for a linearly constrained multiple time series, while fulfilling the linear/aggregation relationships linking the components (Girolimetto and Di Fonzo, 2024 <doi:10.48550/arXiv.2412.03429>). 'FoCo2' offers multi-task forecast combination and reconciliation approaches leveraging input from multiple forecasting models or experts and ensuring that the resulting forecasts satisfy specified linear constraints. In addition, linear inequality constraints (e.g., non-negativity of the forecasts) can be imposed, if needed.
Author: Daniele Girolimetto [aut, cre] , Tommaso Di Fonzo [aut]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package bacenR updated to version 0.4.3 with previous version 0.3.1 dated 2026-03-08

Title: Access Data from Brazilian Central Bank: IFdata, Active Institutions, Balance Sheets and Normative Acts
Description: Provides functions to query, retrieve, and tidy economic and financial data from Brazilian Central Bank web services for use in R analyses and workflows. Active institutions information, balance sheets and normative acts.
Author: Ricardo Theodoro [aut, cre]
Maintainer: Ricardo Theodoro <rtheodoro@usp.br>

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Package netrics updated to version 0.3.1 with previous version 0.2.1 dated 2026-04-06

Title: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties
Description: Many tools for calculating network, node, or tie marks, measures, motifs and memberships of many different types of networks. Marks identify structural positions, measures quantify network properties, memberships classify nodes into groups, and motifs tabulate substructure participation. All functions operate with all classes of network data covered in 'manynet', and on directed, undirected, multiplex, multimodal, signed, and other networks.
Author: James Hollway [cre, aut, ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package zCompositions updated to version 1.6.2 with previous version 1.6.1 dated 2026-04-18

Title: Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets
Description: Principled methods for the imputation of zeros, left-censored and missing data in compositional data sets (Palarea-Albaladejo and Martin-Fernandez (2015) <doi:10.1016/j.chemolab.2015.02.019>).
Author: Javier Palarea-Albaladejo [cre, aut] , Josep Antoni Martin-Fernandez [aut]
Maintainer: Javier Palarea-Albaladejo <javier.palarea@udg.edu>

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Package vecvec updated to version 1.2.0 with previous version 1.1.0 dated 2026-06-04

Title: Construct Mixed Type Data Structures with Vectors of Vectors
Description: Mixed type vectors are useful for combining semantically similar classes. Some examples of semantically related classes include time across different granularities (e.g. daily, monthly, annual) and probability distributions (e.g. Normal, Uniform, Poisson). These groups of vector types typically share common statistical operations which vary in results with the attributes of each vector. The 'vecvec' data structure facilitates efficient storage and computation across multiple vectors within the same object.
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between vecvec versions 1.1.0 dated 2026-06-04 and 1.2.0 dated 2026-06-23

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Package surveydown updated to version 1.3.0 with previous version 1.0.1 dated 2025-12-19

Title: Markdown-Based Programmable Surveys Using 'Quarto' and 'shiny'
Description: Generate programmable surveys using markdown and R code chunks. Surveys are composed of two files: a survey.qmd 'Quarto' file defining the survey content (pages, questions, etc), and an app.R file defining a 'shiny' app with global settings (libraries, database configuration, etc.) and server configuration options (e.g., conditional skipping / display, etc.). Survey data collected from respondents is stored in a 'PostgreSQL' database. Features include controls for conditional skip logic (skip to a page based on an answer to a question), conditional display logic (display a question based on an answer to a question), a customizable progress bar, and a wide variety of question types, including multiple choice (single choice and multiple choices), select, text, numeric, multiple choice buttons, text area, and dates. Because the surveys render into a 'shiny' app, designers can also leverage the reactive capabilities of 'shiny' to create dynamic and interactive surveys.
Author: John Paul Helveston [aut, cre, cph] , Pingfan Hu [aut, cph] , Bogdan Bunea [aut, cph] , Stefan Munnes [ctb], Reed Benkendorf [ctb] , Umair Durrani [ctb], Dylan Pieper [ctb]
Maintainer: John Paul Helveston <john.helveston@gmail.com>

Diff between surveydown versions 1.0.1 dated 2025-12-19 and 1.3.0 dated 2026-06-23

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Package Stype.est updated to version 0.2.0 with previous version 0.1.0 dated 2025-08-29

Title: S-Type Estimators
Description: Implements the S-type estimators, novel robust estimators for general linear regression models, addressing challenges such as outlier contamination and leverage points. This package introduces robust regression techniques to provide a robust alternative to classical methods and includes diagnostic tools for assessing model fit and performance. The methodology is based on the study, "Comparison of the Robust Methods in the General Linear Regression Model" by Sazak and Mutlu (2023). This package is designed for statisticians and applied researchers seeking advanced tools for robust regression analysis.
Author: Hakan Savas Sazak [aut] , Filiz Karadag [cre] , Olgun Aydin [aut]
Maintainer: Filiz Karadag <filiz.karadag@ege.edu.tr>

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Package selectr updated to version 0.6-0 with previous version 0.5-1 dated 2025-12-17

Title: Translate CSS Selectors to XPath Expressions
Description: Translates a CSS selector into an equivalent XPath expression. This allows us to use CSS selectors when working with the XML package as it can only evaluate XPath expressions. Also provided are convenience functions useful for using CSS selectors on XML nodes. This package is a port of the Python package 'cssselect' (<https://cssselect.readthedocs.io/>).
Author: Simon Potter [aut, trl, cre], Simon Sapin [aut], Ian Bicking [aut]
Maintainer: Simon Potter <simon@sjp.co.nz>

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Package rintcal updated to version 1.4.1 with previous version 1.4.0 dated 2026-03-13

Title: Radiocarbon Calibration Curves
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided as a data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98), other curves (e.g., NOTCal04 [van der Plicht et al. 2004], Arnold & Libby 1951, Stuiver & Suess 1966, Pearson & Stuiver 1986) and postbomb curves. Also provided are functions to copy the curves into memory, and to read, query and plot the data underlying the IntCal20 curves.
Author: Maarten Blaauw [aut, cre] , Christopher Bronk Ramsey [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package prospectr updated to version 0.2.10 with previous version 0.2.9 dated 2026-05-31

Title: Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data
Description: Functions to preprocess spectroscopic data and conduct (representative) sample selection/calibration sampling.
Author: Antoine Stevens [aut] , Leonardo Ramirez-Lopez [aut, cre]
Maintainer: Leonardo Ramirez-Lopez <ramirez.lopez.leo@gmail.com>

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Package httr2 updated to version 1.2.3 with previous version 1.2.2 dated 2025-12-08

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package dPCP updated to version 2.0.3 with previous version 2.0.1 dated 2023-08-12

Title: Automated Analysis of Multiplex Digital PCR Data
Description: The automated clustering and quantification of the digital PCR data is based on the combination of 'DBSCAN' (Hahsler et al. (2019) <doi:10.18637/jss.v091.i01>) and 'c-means' (Bezdek et al. (1981) <doi:10.1007/978-1-4757-0450-1>) algorithms. The analysis is independent of multiplexing geometry, dPCR system, and input amount. The details about input data and parameters are available in the vignette.
Author: Alfonso De Falco [aut, cre] , Michel Mittelbronn [ctb], Christophe Olinger [ctb], Daniel Stieber [ctb], Laboratoire national de sante [cph]
Maintainer: Alfonso De Falco <alfonsodefalco90@gmail.com>

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Package aplot updated to version 0.3.0 with previous version 0.2.9 dated 2025-09-12

Title: Decorate a 'ggplot' with Associated Information
Description: For many times, we are not just aligning plots as what 'cowplot' and 'patchwork' did. Users would like to align associated information that requires axes to be exactly matched in subplots, e.g. hierarchical clustering with a heatmap. Inspired by the 'Method 2' in 'ggtree' (G Yu (2018) <doi:10.1093/molbev/msy194>), 'aplot' provides utilities to aligns associated subplots to a main plot at different sides (left, right, top and bottom) with axes exactly matched.
Author: Guangchuang Yu [aut, cre] , Shuangbin Xu [ctb] , Thomas Hackl [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package remap updated to version 0.3.3 with previous version 0.3.2 dated 2025-01-09

Title: Regional Spatial Modeling with Continuous Borders
Description: Automatically creates separate regression models for different spatial regions. The prediction surface is smoothed using a regional border smoothing method. If regional models are continuous, the resulting prediction surface is continuous across the spatial dimensions, even at region borders. Methodology is described in Wagstaff and Bean (2023) <doi:10.32614/RJ-2023-004>.
Author: Jadon Wagstaff [aut, cre], Brennan Bean [aut]
Maintainer: Jadon Wagstaff <jadonw@gmail.com>

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Mon, 22 Jun 2026

Package ggDNAvis updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-05

Title: 'ggplot2'-Based Tools for Visualising DNA Sequences and Modifications
Description: Uses 'ggplot2' to visualise either (a) a single DNA/RNA sequence split across multiple lines, (b) multiple DNA/RNA sequences, each occupying a whole line, or (c) base modifications such as DNA methylation called by modified bases models in Dorado or Guppy. Functions starting with visualise_<>() are the main plotting functions, and functions starting with extract_and_sort_<>() are key helper functions for reading files and reformatting data. Source code is available at <https://github.com/ejade42/ggDNAvis>, a full non-expert user guide is available at <https://ejade42.github.io/ggDNAvis/>, and an interactive web-app version of the software is available at <https://ejade42.github.io/ggDNAvis/articles/interactive_app.html>.
Author: Evelyn Jade [aut, cre, cph]
Maintainer: Evelyn Jade <evelynjade42@gmail.com>

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Package nixtlar updated to version 1.0.0 with previous version 0.6.2 dated 2024-10-28

Title: A Software Development Kit for 'Nixtla''s 'TimeGPT'
Description: A Software Development Kit for working with 'Nixtla''s 'TimeGPT', a foundation model for time series forecasting. 'API' is an acronym for 'application programming interface'; this package allows users to interact with 'TimeGPT' via the 'API'. You can set and validate 'API' keys and generate forecasts via 'API' calls. It is compatible with 'tsibble' and base R. For more details visit <https://www.nixtla.io/docs>.
Author: Mariana Menchero [aut, cre] , Nixtla [cph]
Maintainer: Mariana Menchero <mariana@nixtla.io>

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Package hbamr updated to version 2.4.7 with previous version 2.4.6 dated 2026-04-28

Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Description: Perform hierarchical Bayesian Aldrich-McKelvey scaling using Hamiltonian Monte Carlo via 'Stan'. Aldrich-McKelvey ('AM') scaling is a method for estimating the latent positions of survey respondents and external objects on a common scale using positional survey data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform other versions both in terms of yielding meaningful posterior distributions for respondent positions and in terms of recovering true respondent positions in simulations. The package contains functions for preparing data, fitting models, extracting estimates, plotting key results, and comparing models using cross-validation. The original version of the default model is described in Bølstad (2024) <doi:10.1017/pan.2023.18>.
Author: Joergen Boelstad [aut, cre]
Maintainer: Joergen Boelstad <jorgen.bolstad@stv.uio.no>

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Package pwrss updated to version 1.2.0 with previous version 1.0.0 dated 2025-09-16

Title: Statistical Power, Sample Size, and Detectable Effect Calculations
Description: Flexible and comprehensive functions for statistical power, minimum required sample size, and minimum detectable effect calculations across a wide range of commonly used hypothesis tests in psychological, biomedical, and social sciences.
Author: Metin Bulus [aut, cre, cph], Sebastian Jentschke [aut, cph]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

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Package standardlastprofile updated to version 2.0.1 with previous version 2.0.0 dated 2026-06-11

Title: BDEW Standard Load Profiles for Electricity and Gas
Description: Provides standard load profiles (SLPs) for electricity and gas published by the German Association of Energy and Water Industries (BDEW Bundesverband der Energie- und Wasserwirtschaft e.V.) in a tidy format. The electricity profiles cover the 1999 profiles — households (H0), commercial (G0–G6), and agriculture (L0–L2) — and the updated 2025 profiles (H25, G25, L25, P25, S25), which additionally represent households with photovoltaic systems and battery storage. An interface generates an electricity load profile over a user-defined date range. A second interface generates daily standard load profiles for gas using the synthetic 'SigLinDe' method. More information on the data and methodology for electricity is described in "Standardlastprofile Strom", <https://www.bdew.de/energie/standardlastprofile-strom/>, and for gas in "Standardlastprofile Gas", <https://www.bdew.de/energie/standardlastprofile-gas/>.
Author: Markus Doering [aut, cre, cph]
Maintainer: Markus Doering <m4rkus.doering@gmail.com>

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Package multiSA updated to version 0.3.0 with previous version 0.2.0 dated 2026-05-22

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

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Package eeptools updated to version 1.3.0 with previous version 1.2.7 dated 2025-09-05

Title: Convenience Functions for Education Data
Description: Collection of convenience functions to make working with administrative records easier and more consistent. Includes functions to clean strings, and identify cut points. Also includes three example data sets of administrative education records for learning how to process records with errors.
Author: Jason P. Becker [ctb], Jared E. Knowles [aut, cre]
Maintainer: Jared E. Knowles <jared@civilytics.com>

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Package pathfindR updated to version 3.0.0 with previous version 2.7.0 dated 2025-12-22

Title: Enrichment Analysis Utilizing Active Subnetworks
Description: Enrichment analysis enables researchers to uncover mechanisms underlying a phenotype. However, conventional methods for enrichment analysis do not take into account protein-protein interaction information, resulting in incomplete conclusions. 'pathfindR' is a tool for enrichment analysis utilizing active subnetworks. The main function identifies active subnetworks in a protein-protein interaction network using a user-provided list of genes and associated p values. It then performs enrichment analyses on the identified subnetworks, identifying enriched terms (i.e. pathways or, more broadly, gene sets) that possibly underlie the phenotype of interest. 'pathfindR' also offers functionalities to cluster the enriched terms and identify representative terms in each cluster, to score the enriched terms per sample and to visualize analysis results. The enrichment, clustering and other methods implemented in 'pathfindR' are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2019. 'pathfindR [...truncated...]
Author: Ege Ulgen [cre, cph] , Ozan Ozisik [aut]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

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