Thu, 18 Jun 2026

Package varGuid updated to version 0.1.5 with previous version 0.1.4 dated 2026-05-29

Title: Variance-Guided Regression Improving Upon OLS and ANOVA
Description: Fits variance-guided linear regression models that provide an alternative to ordinary least squares (OLS) for general linear-model design matrices, including ANOVA-style encodings. The methods use an iteratively reweighted least squares estimator or an iteratively reweighted lasso estimator and implement the global linear mean-variance model from the associated 2026 Statistics in Medicine article <doi:10.1002/sim.70632>. Under the assumptions in that paper, the estimator matches the homoscedastic baseline in population predictive quasi-risk when variance is constant and improves on it when the variance depends on covariates. The grouping-based nonlinear prediction extension from Section 3 is available in the development version on GitHub.
Author: Sibei Liu [aut], Min Lu [aut, cre]
Maintainer: Min Lu <luminwin@gmail.com>

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Package traumar updated to version 1.2.7 with previous version 1.2.6 dated 2026-05-07

Title: Calculate Metrics for Trauma System Performance
Description: Hospitals, hospital systems, and even trauma systems that provide care to injured patients may not be aware of robust metrics that can help gauge the efficacy of their programs in saving the lives of injured patients. 'traumar' provides robust functions driven by the academic literature to automate the calculation of relevant metrics to individuals desiring to measure the performance of their trauma center or even a trauma system. 'traumar' also provides some helper functions for the data analysis journey. Users can refer to the following publications for descriptions of the methods used in 'traumar'. TRISS methodology, including probability of survival, and the W, M, and Z Scores - Flora (1978) <doi:10.1097/00005373-197810000-00003>, Boyd et al. (1987, PMID:3106646), Llullaku et al. (2009) <doi:10.1186/1749-7922-4-2>, Singh et al. (2011) <doi:10.4103/0974-2700.86626>, Baker et al. (1974, PMID:4814394), and Champion et al. (1989) <doi:10.1097/00005373-198905000- [...truncated...]
Author: Nicolas Foss [aut, cre], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>

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Package quantilogram updated to version 3.2.1 with previous version 3.1.1 dated 2024-08-27

Title: Cross-Quantilogram
Description: Estimation and inference methods for the cross-quantilogram. The cross-quantilogram is a measure of nonlinear dependence between two variables, based on either unconditional or conditional quantile functions. It can be considered an extension of the correlogram, which is a correlation function over multiple lag periods that mainly focuses on linear dependency. One can use the cross-quantilogram to detect the presence of directional predictability from one time series to another. This package provides a statistical inference method based on the stationary bootstrap. For detailed theoretical and empirical explanations, see Linton and Whang (2007) for univariate time series analysis and Han, Linton, Oka and Whang (2016) for multivariate time series analysis. The full references for these key publications are as follows: (1) Linton, O., and Whang, Y. J. (2007). The quantilogram: with an application to evaluating directional predictability. Journal of Econometrics, 141(1), 250-282 < [...truncated...]
Author: Tatsushi Oka [aut, cre], Heejon Han [ctb], Oliver Linton [ctb], Yoon-Jae Whang [ctb]
Maintainer: Tatsushi Oka <oka.econ@gmail.com>

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Package lssdoc updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-15

Title: Render Multilingual Questionnaires from 'LimeSurvey' '.lss' Files
Description: Render 'LimeSurvey' '.lss' survey exports as multilingual questionnaire documents in Word ('.docx') or PDF, displaying up to four languages side by side with localized chrome in English, French, German, Spanish and Italian. Includes a rule-based automated audit that flags missing translations, forward filter references, duplicate codes, array-scale inconsistencies and orphan structural references. Designed for anyone working with a 'LimeSurvey' survey: researchers, methodologists, ethics committees, translators and reviewers. Processing is fully local: the source file is the only input and no questionnaire content is uploaded to a third-party service.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

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Package BayesianDisaggregation updated to version 0.2.1 with previous version 0.1.2 dated 2025-10-16

Title: Evidence-Based Bayesian Disaggregation of Aggregate Indices
Description: Disaggregates an observed aggregate price index into sectoral components with a Bayesian state-space model in which the aggregate enters as a genuine observation density rather than as a renormalization identity. A random-walk-with-drift transition in log space (with partial pooling on the drift and the innovation scale) and an estimable cross-sectional concentration produce posterior draws of the sectoral indices with credible intervals, suitable as multiple-imputation input for downstream dynamic models. The Hamiltonian Monte Carlo engine follows Stan (Carpenter et al., 2017) <doi:10.18637/jss.v076.i01>; model comparison uses Pareto Smoothed Importance Sampling Leave-One-Out cross-validation (Vehtari, Gelman and Gabry, 2017) <doi:10.1007/s11222-016-9696-4>. A closed-form linear-Gaussian Kalman/RTS smoother provides an exact, MCMC-free Bayesian alternative for the same aggregate evidence.
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

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Package EmpiricalDynamics updated to version 0.1.5 with previous version 0.1.3 dated 2026-03-17

Title: Empirical Discovery of Differential Equations from Time Series Data
Description: A comprehensive toolkit for discovering differential and difference equations from empirical time series data using symbolic regression. The package implements a complete workflow from data preprocessing (including Total Variation Regularized differentiation for noisy economic data), visual exploration of dynamical structure, and symbolic equation discovery via genetic algorithms. It leverages a high-performance 'Julia' backend ('SymbolicRegression.jl') to provide industrial-grade robustness, physics-informed constraints, and rigorous out-of-sample validation. Designed for economists, physicists, and researchers studying dynamical systems from observational data.
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

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Package finna updated to version 0.1.2 with previous version 0.1.1 dated 2025-01-22

Title: Access the 'Finna' API
Description: Provides functions to access and retrieve metadata from the 'Finna' API <https://api.finna.fi/>, which aggregates content from Finnish archives, libraries, and museums.
Author: Akewak Jeba [aut, cre] , Leo Lahti [aut]
Maintainer: Akewak Jeba <akjeba@utu.fi>

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Package dfms updated to version 1.0.1 with previous version 1.0.0 dated 2026-01-26

Title: Dynamic Factor Models
Description: Efficient estimation of Dynamic Factor Models using the Expectation Maximization (EM) algorithm or Two-Step (2S) estimation, supporting datasets with missing data and mixed-frequency nowcasting applications. Factors follow a stationary VAR process of order p. Estimation options include: running the Kalman Filter and Smoother once with PCA initial values (2S) as in Doz, Giannone and Reichlin (2011) <doi:10.1016/j.jeconom.2011.02.012>; iterated Kalman Filtering and Smoothing until EM convergence as in Doz, Giannone and Reichlin (2012) <doi:10.1162/REST_a_00225>; or the adapted EM algorithm of Banbura and Modugno (2014) <doi:10.1002/jae.2306>, allowing arbitrary missing-data patterns and monthly-quarterly mixed-frequency datasets. The implementation uses the 'Armadillo' 'C++' library and the 'collapse' package for fast estimation. A comprehensive set of methods supports interpretation and visualization, forecasting, and decomposition of the 'news' content of macroeconomi [...truncated...]
Author: Sebastian Krantz [aut, cre], Rytis Bagdziunas [aut], Santtu Tikka [rev], Eli Holmes [rev], Christian Klettner [ctb]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package bayesianOU updated to version 0.2.0 with previous version 0.1.3 dated 2025-12-19

Title: Bayesian Nonlinear Ornstein-Uhlenbeck Models with Stochastic Volatility
Description: Fits Bayesian nonlinear Ornstein-Uhlenbeck models with cubic drift, stochastic volatility, and Student-t innovations. The package implements hierarchical priors for sector-specific parameters and supports parallel MCMC sampling via 'Stan'. Model comparison is performed using Pareto Smoothed Importance Sampling Leave-One-Out (PSIS-LOO) cross-validation following Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. Prior specifications follow recommendations from Gelman (2006) <doi:10.1214/06-BA117A> for scale parameters.
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

Diff between bayesianOU versions 0.1.3 dated 2025-12-19 and 0.2.0 dated 2026-06-18

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Package bibnets updated to version 0.6.0 with previous version 0.4.4 dated 2026-05-20

Title: Importing, Constructing, and Exporting Bibliometric Networks
Description: Imports, constructs, and exports bibliometric networks from scholarly metadata. Reads 'Scopus', 'Web of Science', 'BibTeX', 'RIS', 'OpenAlex', 'Lens.org', 'Dimensions', and 'Crossref' exports. Goes beyond standard co-networks with attention-weighted networks (lead, last, proximity, circular position weights), position-aware counting (harmonic, arithmetic, geometric, golden-ratio), similarity and dissimilarity normalisations, temporal networks with fixed, sliding, and cumulative windows, disparity-filter backbone extraction, historiograph construction, and local citation scoring. Methods described in López-Pernas, Saqr & Apiola (2023) <doi:10.1007/978-3-031-25336-2_5>.
Author: Mohammed Saqr [aut, cre, cph] , Sonsoles Lopez-Pernas [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>

Diff between bibnets versions 0.4.4 dated 2026-05-20 and 0.6.0 dated 2026-06-18

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New package wnpmle with initial version 0.1.2
Package: wnpmle
Title: Weighted NPMLE for Recurrent Events with a Competing Terminal Event
Version: 0.1.2
Description: Provides regression modeling and prediction for the marginal mean of recurrent events in the presence of a competing terminal event using the weighted nonparametric maximum likelihood estimator (wNPMLE) of Bellach and Kosorok (2026) <doi:10.48550/arXiv.2605.25934>. Two classes of transformation models are implemented: Box-Cox transformation models and logarithmic transformation models. These extend the proportional means model of Ghosh and Lin (2002) <doi:10.17615/pt0g-y207> and the transformation model framework of Zeng and Lin (2006) <doi:10.1093/biomet/93.3.627>. Parameter estimation is performed using automatic differentiation through the Template Model Builder (TMB) framework. Standard errors are computed using sandwich variance estimators that account for estimation of the inverse-probability censoring weights following Bellach, Kosorok, Rüschendorf and Fine (2019) <doi:10.1080/01621459.2017.1401540>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: TMB (>= 1.9.0), survival, methods, MASS, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/abellach/wnpmle
BugReports: https://github.com/abellach/wnpmle/issues
NeedsCompilation: no
Packaged: 2026-06-11 04:55:07 UTC; abell
Author: Anna Bellach [aut, cre]
Maintainer: Anna Bellach <abellach.biostat@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 17:10:02 UTC

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New package transitiontrees with initial version 0.1.2
Package: transitiontrees
Title: Transition Trajectories and Dynamics of Variable-Length Pathways or Sequences
Version: 0.1.2
Description: Analyzes transition trajectories in event, sequence, and ordered data, focusing on how states follow one another, how far processes unfold, and where pathways branch or converge. Trajectories are modeled using variable-order prediction suffix trees (Ron, Singer, & Tishby, 1996) <doi:10.1023/A:1026490906255>, implemented in both frequency-based and prediction-based forms. The framework includes multiple pruning, validation, and smoothing techniques to ensure model robustness. Visualization options include transition trees, radial sunburst diagrams, transition heatmaps, and forward trajectory trees.
License: GPL-3
URL: https://github.com/mohsaqr/transitiontrees
BugReports: https://github.com/mohsaqr/transitiontrees/issues
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1)
Imports: ggplot2, grDevices, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, visNetwork, tna, Nestimate
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-11 10:37:17 UTC; mohammedsaqr
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>
Repository: CRAN
Date/Publication: 2026-06-18 17:10:08 UTC

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New package vecrep with initial version 0.1.0
Package: vecrep
Title: Compact Vector Replication
Version: 0.1.0
Description: Replicates vectors using ALTREP (Alternative Representations for R Objects), avoiding unnecessary memory allocation. When a vector is repeated many times, only a reference to the original data is stored rather than copying the full expanded replicates into memory. The expanded data is only materialised if it is modified, making repeated vectors cheap to create and pass around. This is particularly useful when working with large repeated sequences, such as replicated index vectors, simulation inputs, or repeated reference values in data pipelines.
Depends: R (>= 3.5)
License: MIT + file LICENSE
URL: https://pkg.mitchelloharawild.com/vecrep/, https://github.com/mitchelloharawild/vecrep
BugReports: https://github.com/mitchelloharawild/vecrep/issues
Encoding: UTF-8
Language: en-GB
ByteCompile: yes
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-06-11 16:21:26 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre, cph] , Gabriel Becker [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2026-06-18 16:50:02 UTC

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New package GammaFrailty with initial version 0.1.0
Package: GammaFrailty
Title: Gamma Frailty Regression Models with Multiple Baseline Distributions
Version: 0.1.0
Description: Implements univariate gamma frailty regression models for survival data with six different baseline distributions: the Arvind distribution (Pandey et al., 2024), the Lindley distribution (Lindley, 1958), the Linear Failure Rate distribution (Bain, 1974), the Power Xgamma distribution (Tyagi et al., 2022), the Modified Topp-Leone distribution (Singh et al., 2025), and the Power Failure Rate distribution (Mugdadi, 2005). The package supports uncensored (complete) and censored data (right, left, interval, and progressive censoring) with and without covariates. It provides maximum likelihood estimation, standard errors, confidence intervals, t-statistics, p-values, Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), a bootstrap approximation of the Widely Applicable Information Criterion (WAIC), k-fold cross-validation, variance inflation factors, R-squared, adjusted R-squared, Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), an ove [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: survival, maxLik, numDeriv, MASS, stats, graphics, grDevices, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-11 18:44:25 UTC; 30017827
Author: Shikhar Tyagi [aut, cre]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 17:00:02 UTC

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New package craftgrn with initial version 0.1.6
Package: craftgrn
Title: Integrative Chromatin Accessibility and RNA Framework for Gene Regulatory Networks
Version: 0.1.6
Description: Provides a reproducible framework for constructing and comparing gene regulatory networks by integrating chromatin accessibility footprint scores with matched RNA expression data. It implements context-specific enhancer-gene linking, transcription factor focused network analysis, differential network analysis, and regulatory topic modeling workflows for systematic exploration of gene regulation across conditions. Methodological background is available at <doi:10.1038/s41467-020-18035-1>, <https://www.jmlr.org/papers/v3/blei03a.html>, and <doi:10.48550/arXiv.1510.08628>.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: cli, cluster, config, data.table, dplyr, digest, future, future.apply, ggplot2, enrichR, jsonlite, LDAvis, methods, pheatmap, readr, Rcpp, tibble, tidyr, yaml
LinkingTo: Rcpp
Suggests: AnnotationDbi, arrow, EnsDb.Hsapiens.v86, EnsDb.Mmusculus.v79, fgsea, golem, ggraph, ggrepel, gtable, gridExtra, htmlwidgets, igraph, Matrix, msigdbr, parallelly, progressr, RColorBrewer, knitr, rmarkdown, rstudioapi, scales, shiny, spelling, testthat, withr
VignetteBuilder: knitr
SystemRequirements: Optional Shiny app support on Linux may require libuv headers, for example libuv1-dev, or cmake for bundled libuv builds in transitive dependencies.
Encoding: UTF-8
Language: en-US
URL: https://oncologylab.github.io/craftgrn/, https://github.com/oncologylab/craftgrn
BugReports: https://github.com/oncologylab/craftgrn/issues
NeedsCompilation: yes
Packaged: 2026-06-11 16:24:12 UTC; yl814
Author: Yaoxiang Li [aut, cre], Chunling Yi [aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2026-06-18 16:50:08 UTC

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Package cpp11bigwig updated to version 0.2.0 with previous version 0.1.3 dated 2025-12-11

Title: Read bigWig and bigBed Files
Description: Read bigWig and bigBed files using "libBigWig" <https://github.com/dpryan79/libBigWig>. Provides lightweight access to the binary bigWig and bigBed formats developed by the UCSC Genome Browser group.
Author: Jay Hesselberth [aut, cre], RNA Bioscience Initiative [fnd, cph], Devon Ryan [cph]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

Diff between cpp11bigwig versions 0.1.3 dated 2025-12-11 and 0.2.0 dated 2026-06-18

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New package ustats with initial version 0.1.5
Package: ustats
Title: R Interface to Python Tools for Computing Higher-Order U-Statistics
Version: 0.1.5
Description: Provides an R interface to the Python package 'u-stats' <https://pypi.org/project/u-stats/> for efficient computation of higher-order U-statistics using Einstein summation notation, implementing the methods of Chen, Zhang, and Liu (2025) <doi:10.48550/arXiv.2508.12627>. The package automatically converts R objects to 'NumPy' or 'PyTorch' tensors via 'reticulate' and supports GPU acceleration when 'PyTorch' with 'CUDA' is available. Python dependencies are declared via 'reticulate' and can be installed automatically on first use. Designed for large-scale statistical estimation where numerical stability and performance are critical.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: reticulate (>= 1.41)
SystemRequirements: Python (>= 3.11); Python packages: u-stats, numpy, torch (installed automatically on first use, or via setup_ustats())
Suggests: knitr, rmarkdown, rstudioapi, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/cxy0714/U-Statistics-R, https://pypi.org/project/u-stats/
BugReports: https://github.com/cxy0714/U-Statistics-R/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-11 10:19:29 UTC; thinkbook-cxy
Author: Xingyu Chen [aut, cre], Ruiqi Zhang [aut], Lin Liu [aut]
Maintainer: Xingyu Chen <xingyuchen0714@sjtu.edu.cn>
Repository: CRAN
Date/Publication: 2026-06-18 14:10:02 UTC

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New package svmf with initial version 1.0
Package: svmf
Title: The Scaled von Mises-Fisher Distribution
Version: 1.0
Date: 2026-06-11
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, stats
Description: Functions to perform maximum likelihood estimation of and random value simulation from the scaled von Mises-Fisher distribution. The distribution is elliptical symmetric and can be applied to spherical and hyper-spherical data. The reference paper is Scealy J.L. and Wood A.T.A. (2019), <doi:10.1080/01621459.2019.1585249>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-06-11 13:06:51 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-06-18 14:20:02 UTC

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New package proratar with initial version 0.1.0
Package: proratar
Title: Proportional Allocation with Sum Consistency
Version: 0.1.0
Description: Provides robust functions for proportional allocation of numeric values. It guarantees sum consistency after rounding or integer truncation using one of two adjustment methods: the largest remainder method or max-value adjustment. Handles edge cases like NA weights and vector total values seamlessly.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-11 09:28:13 UTC; HOMMA
Author: Shunsuke Homma [aut, cre]
Maintainer: Shunsuke Homma <shunsuke.homma@proton.me>
Repository: CRAN
Date/Publication: 2026-06-18 14:10:07 UTC

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New package NDPalette with initial version 1.0.0
Package: NDPalette
Title: Notre Dame Color Palettes for R
Version: 1.0.0
Date: 2026-06-05
Description: Provides color palettes that approximate the University of Notre Dame brand colors, together with 'ggplot2' discrete color and fill scales. The default palette leads with six Notre Dame brand colors that read clearly on a white background and extends through seven former Notre Dame brand colors, interpolating when more colors are needed than the brand supplies. The palette is intended for statistical visualization and psychometric analysis: the white-safe ordering keeps plotted categories legible, and the near-white-to-navy ramps suit continuous quantities such as correlations and factor loadings. A colorblind-friendly ordering of the Notre Dame colors themselves (arranged so the colors stay distinguishable under simulated deuteranopia, protanopia, and tritanopia), the former colors as a standalone palette, the four near-white brand tints (plus six informal soft backgrounds) for backgrounds and sequential ramps, a reference table of every color with brand and role labels, and a palette [...truncated...]
Imports: graphics, grDevices, utils
Suggests: ggplot2 (>= 3.4.0), knitr, rmarkdown, shiny, bslib, colorspace, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
URL: https://kenkelley.org, https://github.com/yelleKneK/NDPalette
BugReports: https://github.com/yelleKneK/NDPalette/issues
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-11 10:53:03 UTC; kkelley
Author: Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>
Repository: CRAN
Date/Publication: 2026-06-18 14:20:22 UTC

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Package LMPdata updated to version 0.2.1 with previous version 0.2.0 dated 2025-01-30

Title: Easy Import of the EU Labour Market Policy Data
Description: European Commission's Labour Market Policy (LMP) database (<https://webgate.ec.europa.eu/empl/redisstat/databrowser/explore/all/lmp?lang=en&display=card&sort=category>) provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. It covers the EU countries and Norway. This package provides functions for downloading and importing the LMP data and metadata (codelists).
Author: Aleksander Rutkowski [aut, cre]
Maintainer: Aleksander Rutkowski <alek.rutkowski@gmail.com>

Diff between LMPdata versions 0.2.0 dated 2025-01-30 and 0.2.1 dated 2026-06-18

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Package LLMTranslate updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-12

Title: 'shiny' App for TRAPD/ISPOR Survey Translation with LLMs
Description: A 'shiny' application to automate forward and back survey translation with optional reconciliation using large language models (LLMs). Supports both item-by-item and batch translation modes for optimal performance and context-aware translations. Handles multi-sheet Excel files and supports OpenAI (GPT), Google Gemini, and Anthropic Claude models. Follows the TRAPD (Translation, Review, Adjudication, Pretesting, Documentation) framework and ISPOR (International Society for Pharmacoeconomics and Outcomes Research) recommendations. See Harkness et al. (2010) <doi:10.1002/9780470609927.ch7> and Wild et al. (2005) <doi:10.1111/j.1524-4733.2005.04054.x>.
Author: Jonas R. Kunst [aut, cre]
Maintainer: Jonas R. Kunst <jonas.r.kunst@bi.no>

Diff between LLMTranslate versions 0.3.0 dated 2026-01-12 and 0.4.0 dated 2026-06-18

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Package ggvfields updated to version 1.0.1 with previous version 1.0.0 dated 2025-03-15

Title: Vector Field Visualizations with 'ggplot2'
Description: A 'ggplot2' extension for visualizing vector fields in two-dimensional space. Provides flexible tools for creating vector and stream field layers, visualizing gradients and potential fields, and smoothing vector and scalar data to estimate underlying patterns.
Author: Dusty Turner [aut, cre], David Kahle [aut], Rodney X. Sturdivant [aut]
Maintainer: Dusty Turner <dusty.s.turner@gmail.com>

Diff between ggvfields versions 1.0.0 dated 2025-03-15 and 1.0.1 dated 2026-06-18

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New package gendertext with initial version 0.1.0
Package: gendertext
Title: Detect Gendered Words in Text and Suggest Neutral Alternatives
Version: 0.1.0
Description: Identifies gendered words and phrases in text using a built in dictionary of more than two hundred gendered terms paired with gender neutral alternatives. Reports the share of gendered language in a text, lists every gendered term found together with its suggested neutral replacement, and can rewrite a text in gender neutral form. Plain text files are read with base R, while other document formats such as PDF and Word are supported through the optional 'readtext' package. The dictionary is informed by published guidance on gender inclusive language, including the United Nations guidelines <https://www.un.org/en/gender-inclusive-language/> and the European Parliament guidance on gender neutral language.
License: MIT + file LICENSE
URL: https://github.com/mashrur-ayon/gendertext
BugReports: https://github.com/mashrur-ayon/gendertext/issues
Depends: R (>= 3.5)
Suggests: knitr, readtext, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-11 14:36:06 UTC; mashr
Author: S M Mashrur Arafin Ayon [aut, cre, cph] , Rodaba Zaman Adrita [aut, dtc]
Maintainer: S M Mashrur Arafin Ayon <mashrur399@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 14:30:02 UTC

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Package eurodata updated to version 1.8.0 with previous version 1.7.0 dated 2023-05-06

Title: Fast and Easy Eurostat Data Import and Search
Description: Interface to Eurostat’s API (SDMX 2.1) with fast data.table-based import of data, labels, and metadata. On top of the core functionality, data search and data description/comparison functions are also provided. Use <https://github.com/alekrutkowski/eurodata_codegen> — a point-and-click app for rapid and easy generation of richly-commented R code — to import a Eurostat dataset or its subset (based on the eurodata::importData() function).
Author: Aleksander Rutkowski [aut, cre]
Maintainer: Aleksander Rutkowski <alek.rutkowski@gmail.com>

Diff between eurodata versions 1.7.0 dated 2023-05-06 and 1.8.0 dated 2026-06-18

 DESCRIPTION     |   12 ++---
 MD5             |    6 +-
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 4 files changed, 117 insertions(+), 41 deletions(-)

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New package edr4r with initial version 0.1.0
Package: edr4r
Title: Client for the 'OGC API - Environmental Data Retrieval' Standard
Version: 0.1.0
Description: A tidy 'R' client for services implementing the 'OGC API - Environmental Data Retrieval' ('EDR') standard. It is general purpose, but most of its real-world use is against in-situ monitoring networks (stream gauges, weather stations, snow and reservoir telemetry) that expose their stations and time series as 'EDR' collections. Known working endpoints include the 'USGS waterdata OGC API' and the 'Western Water Datahub'. Provides discovery, query, and parsing helpers for the locations, items, position, area, cube, radius, trajectory, and corridor query types. Returns 'CoverageJSON' as tidy 'tibble' rows and 'GeoJSON' as 'sf' objects.
License: MIT + file LICENSE
URL: https://github.com/ksonda/edr4r
BugReports: https://github.com/ksonda/edr4r/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, httr2 (>= 1.0.0), jsonlite, purrr, rlang, tibble, vctrs
Suggests: base64enc, ggplot2, htmlwidgets, knitr, leaflet, rmarkdown, sf, svglite, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-11 14:22:22 UTC; konda
Author: Kyle Onda [aut, cre, cph]
Maintainer: Kyle Onda <konda@lincolninst.edu>
Repository: CRAN
Date/Publication: 2026-06-18 14:30:08 UTC

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Package datadiff updated to version 0.5.0 with previous version 0.4.4 dated 2026-03-18

Title: Data Validation Based on 'YAML' Rules
Description: A comprehensive data validation package that allows comparing datasets using configurable validation rules defined in 'YAML' files. Built on top of the 'pointblank' package for robust data validation, it supports exact matching, tolerance-based numeric comparisons, text normalization, and row count validation.
Author: Vincent Guyader [cre, aut] , ThinkR [cph], Agence technique de l'information sur l'hospitalisation [spn]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

Diff between datadiff versions 0.4.4 dated 2026-03-18 and 0.5.0 dated 2026-06-18

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New package climatestatsr with initial version 0.1.2
Package: climatestatsr
Title: Statistical Tools for Climate Change Analysis
Version: 0.1.2
Date: 2026-05-21
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Description: A comprehensive collection of statistical functions for climate change research. Provides tools for temporal trend detection based on the Mann-Kendall (MK) test (Mann 1945 <doi:10.2307/1907187>; Kendall 1975, ISBN:0852641990) and Sen's slope (Sen 1968 <doi:10.2307/2285891>), spatial autocorrelation using Moran's I (Moran 1950 <doi:10.2307/2332142>), extreme value analysis using the Generalised Extreme Value (GEV) distribution and Peaks-Over-Threshold (POT) method (Coles 2001 <doi:10.1007/978-1-4471-3675-0>), standardised drought indices including the Standardised Precipitation Index (SPI; McKee et al. 1993) and the Standardised Precipitation Evapotranspiration Index (SPEI; Vicente-Serrano et al. 2010 <doi:10.1175/2009JCLI2909.1>), and formal detection-attribution methods via optimal fingerprint regression and Empirical Orthogonal Function (EOF) analysis (Allen and Tett 1999 <doi:10.1007/s003820050291>), and apparent temperature via the heat index (St [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
Imports: stats, graphics, utils
Suggests: ggplot2 (>= 3.4.0), sf (>= 1.0-0), ncdf4 (>= 1.21), testthat (>= 3.0.0), knitr (>= 1.42), rmarkdown (>= 2.20)
VignetteBuilder: knitr
NeedsCompilation: no
ByteCompile: true
Packaged: 2026-06-11 12:11:32 UTC; acer
Author: Sadikul Islam [aut, cre] , Rajesh Kaushal [aut]
Repository: CRAN
Date/Publication: 2026-06-18 14:20:14 UTC

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New package WinsCRT with initial version 0.1.0
Package: WinsCRT
Title: Win Statistics Inference for Cluster-Randomized Trials
Version: 0.1.0
Description: Provides estimation and inference for win statistics in cluster-randomized trials with prioritized (hierarchical) composite outcomes. Supported summaries include the win ratio, win odds, net benefit, and desirability of outcome ranking (DOOR), with variance estimation and testing procedures that account for within-cluster correlation. Methods are described in the accompanying manuscript (2026) <doi:10.48550/arXiv.2604.18341>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: Rcpp, stats
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-06-10 22:15:19 UTC; xi32457
Author: Xi Fang [aut, cre], Fan Li [aut]
Maintainer: Xi Fang <x.fang@yale.edu>
Repository: CRAN
Date/Publication: 2026-06-18 13:40:07 UTC

More information about WinsCRT at CRAN
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New package sdc.redistribute with initial version 0.1.0
Package: sdc.redistribute
Title: Redistribute Values Between Geographic Areas
Version: 0.1.0
Description: Estimate attribute values for one set of polygons from values measured on a different, misaligned set. Provides area-weighted areal interpolation and a dasymetric method that distributes values across a point layer (such as parcel centroids). Count (extensive) measures are total-preserving; rate (intensive) measures use area-weighted means.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: sf
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, areal, spelling, covr
URL: https://dads2busy.github.io/sdc.redistribute/, https://github.com/dads2busy/sdc.redistribute
BugReports: https://github.com/dads2busy/sdc.redistribute/issues
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-10 17:46:32 UTC; ads7fg
Author: Aaron Schroeder [aut, cre]
Maintainer: Aaron Schroeder <ads7fg@virginia.edu>
Repository: CRAN
Date/Publication: 2026-06-18 13:30:02 UTC

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New package RankGWASK with initial version 0.1.1
Package: RankGWASK
Title: Ranked Set Sampling Genome-Wide Association Studies Toolkit
Version: 0.1.1
Description: Provides methods for genome-wide association studies (GWAS) using ranked set sampling (RSS) designs. The package includes tools for ranked set sample selection, standard and RSS-based association analyses, simulation of genotype and phenotype data, statistical comparison of RSS and simple random sampling (SRS) approaches, visualization of GWAS results, and power analysis under alternative sampling schemes.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.3.0)
Imports: qqman
NeedsCompilation: no
Packaged: 2026-06-11 05:50:40 UTC; Dr. Imtiyaz
Author: Khalid Ul Islam Rather [aut, cre]
Maintainer: Khalid Ul Islam Rather <drkhalidulislam@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 14:00:10 UTC

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New package nonabsdid with initial version 0.3.2
Package: nonabsdid
Title: Visualize Heterogeneity-Robust Event Studies for Non-Absorbing Treatments
Version: 0.3.2
Description: Runs several heterogeneity-robust difference-in-differences (DID) event-study estimators for non-absorbing (i.e., treatment can switch on and off) binary treatments through their own 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/ajps.12685>, Licheng Liu, Ye Wang, and Yiqin [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, dplyr, ggplot2, rlang, stats, tibble
Suggests: DIDmultiplegtDYN, polars, PanelMatch, fect, fixest, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr, withr
URL: https://github.com/takuma1102/nonabsdid
BugReports: https://github.com/takuma1102/nonabsdid/issues
VignetteBuilder: knitr
Additional_repositories: https://rpolars.r-universe.dev
NeedsCompilation: no
Packaged: 2026-06-10 23:43:04 UTC; 81809
Author: Takuma Iwasaki [aut, cre]
Maintainer: Takuma Iwasaki <iwasakit@stanford.edu>
Repository: CRAN
Date/Publication: 2026-06-18 13:50:02 UTC

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New package medfit with initial version 0.2.1
Package: medfit
Title: Infrastructure for Mediation Model Fitting and Extraction
Version: 0.2.1
Date: 2026-06-10
Description: Provides S7-based infrastructure for fitting mediation models, extracting path coefficients, and performing bootstrap inference. Designed as a foundation package for the mediation analysis ecosystem, supporting 'probmed', 'RMediation', and 'medrobust' packages. Implements unified interfaces for model fitting across different engines (currently generalized linear models, with future support for mixed models and Bayesian methods), standardized extraction of mediation paths from various model types, and robust bootstrap inference methods. Mediation inference methods are described in MacKinnon, Lockwood and Williams (2004) <doi:10.1207/s15327906mbr3901_4> and Tofighi and MacKinnon (2011) <doi:10.3758/s13428-011-0076-x>.
License: GPL (>= 3)
URL: https://data-wise.github.io/medfit/, https://github.com/data-wise/medfit
BugReports: https://github.com/data-wise/medfit/issues
Depends: R (>= 4.1.0)
Imports: S7 (>= 0.1.0), stats, methods, checkmate, generics, MASS
Suggests: lavaan (>= 0.6-0), testthat (>= 3.0.0), tibble
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-10 20:01:03 UTC; dt
Author: Davood Tofighi [aut, cre]
Maintainer: Davood Tofighi <dtofighi@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 13:40:02 UTC

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Package kinesis updated to version 0.4.0 with previous version 0.3.1 dated 2025-09-29

Title: 'shiny' Applications for the 'tesselle' Packages
Description: A collection of 'shiny' applications for the 'tesselle' packages <https://www.tesselle.org/>. This package provides applications for archaeological data analysis and visualization. These mainly, but not exclusively, include applications for chronological modelling (e.g. matrix seriation, aoristic analysis) and count data analysis (e.g. diversity measures, compositional data analysis).
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

Diff between kinesis versions 0.3.1 dated 2025-09-29 and 0.4.0 dated 2026-06-18

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Permanent link

New package accuracylevel with initial version 0.1.0
Package: accuracylevel
Title: Robust Accuracy-Level Metrics for Predictive Model Evaluation
Version: 0.1.0
Author: Achmad Syahrul Choir [cre, aut], Mety Agustini [aut], Kartika Fithriasari [aut], Dedy Dwi Prastyo [aut]
Maintainer: Achmad Syahrul Choir <madsyair@stis.ac.id>
Description: Implements novel accuracy-level metrics for evaluating continuous data prediction models. Four metrics are provided: Counted Squared Error (CSE), Counted Absolute Error (CAE), Counted Absolute Percentage Error (CAPE), and Symmetric Counted Absolute Percentage Error (SCAPE). These metrics offer robust, consistent, and interpretable evaluation on a 0-100% scale, addressing limitations of conventional metrics like RMSE, MAE, and MAPE. The package integrates with 'caret', 'tidymodels', and common forecasting frameworks. Based on Agustini, Fithriasari, and Prastyo (2026) <doi:10.1016/j.dajour.2025.100661>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/madsyair/accuracylevel
BugReports: https://github.com/madsyair/accuracylevel/issues
Depends: R (>= 3.5.0)
Imports: stats, graphics, utils
Suggests: rlang (>= 0.4.0), caret, yardstick, forecast, testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, tibble, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-10 15:53:03 UTC; madsyair
Repository: CRAN
Date/Publication: 2026-06-18 13:20:02 UTC

More information about accuracylevel at CRAN
Permanent link

Package ggseg.formats updated to version 0.0.3 with previous version 0.0.2 dated 2026-04-03

Title: Brain Atlas Data Structures for the 'ggsegverse' Ecosystem
Description: Provides the 'ggseg_atlas' S3 class used across the 'ggsegverse' ecosystem for 2D and 3D brain visualisation. Ships four bundled atlases ('Desikan-Killiany', 'FreeSurfer' 'aseg', 'TRACULA', 'SUIT') and functions for querying, subsetting, renaming, and enriching atlas objects. Also includes readers for 'FreeSurfer' statistics files.
Author: Athanasia Mo Mowinckel [aut, cre] , Center for Lifespan Changes in Brain and Cognition , University of Oslo [cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

Diff between ggseg.formats versions 0.0.2 dated 2026-04-03 and 0.0.3 dated 2026-06-18

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Package umweltapir updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-21

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 0.1.0 dated 2026-04-21 and 0.2.0 dated 2026-06-18

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Permanent link

Package twbparser updated to version 0.5.0 with previous version 0.4.0 dated 2026-04-13

Title: Parse 'Tableau' Workbooks into Tidy Data and Dependency Graphs
Description: High-performance parsing of 'Tableau' workbook files into tidy data frames and dependency graphs for other visualization tools like R 'Shiny' or 'Power BI' replication, plus an interactive 'Shiny' workbook inspector for uploaded .twb and .twbx files.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

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Package mMARCH.AC readmission to version 3.3.4.3 with previous version 3.3.4.0 dated 2026-02-05

Title: Processing of Accelerometry Data with 'GGIR' in mMARCH
Description: Mobile Motor Activity Research Consortium for Health (mMARCH) is a collaborative network of studies of clinical and community samples that employ common clinical, biological, and digital mobile measures across involved studies. One of the main scientific goals of mMARCH sites is developing a better understanding of the inter-relationships between accelerometry-measured physical activity (PA), sleep (SL), and circadian rhythmicity (CR) and mental and physical health in children, adolescents, and adults. Currently, there is no consensus on a standard procedure for a data processing pipeline of raw accelerometry data, and few open-source tools to facilitate their development. The R package 'GGIR' is the most prominent open-source software package that offers great functionality and tremendous user flexibility to process raw accelerometry data. However, even with 'GGIR', processing done in a harmonized and reproducible fashion requires a non-trivial amount of expertise combined with a care [...truncated...]
Author: Wei Guo [aut, cre], Andrew Leroux [aut], Vadim Zipunnikov [aut], Kathleen Merikangas [aut]
Maintainer: Wei Guo <wei.guo3@nih.gov>

This is a re-admission after prior archival of version 3.3.4.0 dated 2026-02-05

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Permanent link

Package metaHelper updated to version 1.0.1 with previous version 1.0.0 dated 2024-07-28

Title: Transforms Statistical Measures Commonly Used for Meta-Analysis
Description: Helps calculate statistical values commonly used in meta-analysis. It provides several methods to compute different forms of standardized mean differences, as well as other values such as standard errors and standard deviations. The methods used in this package are described in the following references: Altman D G, Bland J M. (2011) <doi:10.1136/bmj.d2090> Borenstein, M., Hedges, L.V., Higgins, J.P.T. and Rothstein, H.R. (2009) <doi:10.1002/9780470743386.ch4> Chinn S. (2000) <doi:10.1002/1097-0258(20001130)19:22%3C3127::aid-sim784%3E3.0.co;2-m> Cochrane Handbook (2011) <https://www.cochrane.org/authors/handbooks-and-manuals/handbook/archive/v5.1.0> Cooper, H., Hedges, L. V., & Valentine, J. C. (2009) <https://psycnet.apa.org/record/2009-05060-000> Cohen, J. (1977) <https://psycnet.apa.org/record/1987-98267-000> Ellis, P.D. (2009) <https://www.psychometrica.de/effect_size.html> Goulet-Pelletier, J.-C., & Cousineau, D. (2018) <doi:10.2 [...truncated...]
Author: Robert Emprechtinger [aut, cre] , Guido Schwarzer [aut] , Ulf Toelch [aut], Guenther Schreder [aut], Gerald Gartlehner [aut]
Maintainer: Robert Emprechtinger <emprechtinger@stateofhealth.at>

Diff between metaHelper versions 1.0.0 dated 2024-07-28 and 1.0.1 dated 2026-06-18

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Package fastreg updated to version 0.14.1 with previous version 0.13.8 dated 2026-06-12

Title: Fast Conversion and Querying of Danish Registers with 'Parquet'
Description: Converts large Danish register files ('sas7bdat') into 'Parquet' format with year-based 'Hive' partitioning and chunked reading for larger-than-memory files. Supports parallel conversion with a 'targets' pipeline and reading those registers into 'DuckDB' tables for faster querying and analyses.
Author: Signe Kirk Broedbaek [aut, cre] , Luke Johnston [aut] , Steno Diabetes Center Aarhus [cph], Aarhus University [cph]
Maintainer: Signe Kirk Broedbaek <signekb@clin.au.dk>

Diff between fastreg versions 0.13.8 dated 2026-06-12 and 0.14.1 dated 2026-06-18

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New package gmsp with initial version 0.4.6
Package: gmsp
Title: Ground Motion Signal Processing
Version: 0.4.6
Description: Implements short-time Fourier transform (STFT) based processing of strong-motion time series: time-grid regularisation, STFT-window and anti-alias-resampling strategy selection, edge tapering, and frequency-domain integration and differentiation, mapping a single input (acceleration, velocity, or displacement) to a consistent triplet under a chosen analysis bandwidth. Also provides intrinsic-mode-function decomposition via empirical mode decomposition (EMD), ensemble EMD (EEMD), and variational mode decomposition (VMD) with optional band-rule filtering; elastic single-degree-of-freedom (SDOF) response spectra (pseudo-spectral acceleration, velocity, and displacement) by exact state-space integration; intensity measures including peak, root-mean-square (RMS), Arias intensity, significant-duration, cumulative absolute velocity, mean period, and the derived indices earthquake destructiveness potential (EPI) and power-of-input (PDI); and D50 and D100 horizontal response spectra. Methods: H [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://averriK.github.io/gmsp/
Depends: R (>= 4.1.0)
Imports: data.table, digest, EMD, expm, hht, jsonlite, openssl, pracma, purrr, seewave, signal, spectral, stats, stringr, utils, VMDecomp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-10 14:43:33 UTC; averrik
Author: Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>
Repository: CRAN
Date/Publication: 2026-06-18 10:30:02 UTC

More information about gmsp at CRAN
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Package eve updated to version 1.1 with previous version 1.0 dated 2025-11-11

Title: The Eigenvalues Entropy as a Classifier Evaluation Measure
Description: The confusion matrix (CM) is used to get a classifier's evaluation measure in order to select a method among many. A stochastic matrix and its transformation are computed from the CM. The eigenvalues of the transformed symmetric matrix are used to get an entropy which appears to be a good evaluation measure. Many other measures, commonly used, are provided for comparison purpose.
Author: Doulaye Dembele [aut, cre]
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>

Diff between eve versions 1.0 dated 2025-11-11 and 1.1 dated 2026-06-18

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Package easyRaschBayes updated to version 0.3.0 with previous version 0.2.0.1 dated 2026-04-23

Title: Bayesian Rasch Analysis Using 'brms'
Description: Reproduces classic Rasch psychometric analysis features using Bayesian item response theory models fitted with 'brms' following Bürkner (2021) <doi:10.18637/jss.v100.i05> and Bürkner (2020) <doi:10.3390/jintelligence8010005>. Supports both dichotomous and polytomous Rasch models. Features include posterior predictive item fit, conditional infit, item-restscore associations, person fit, differential item functioning, local dependence assessment via Q3 residual correlations, dimensionality assessment with residual principal components analysis, person-item targeting plots, item category probability curves, and reliability using relative measurement uncertainty following Bignardi et al. (2025) <doi:10.31234/osf.io/h54k8_v1>.
Author: Magnus Johansson [aut, cre] , Giacomo Bignardi [ctb] , Kristoffer Magnusson [ctb]
Maintainer: Magnus Johansson <pgmj@pm.me>

Diff between easyRaschBayes versions 0.2.0.1 dated 2026-04-23 and 0.3.0 dated 2026-06-18

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New package cairovolt with initial version 1.0.0
Package: cairovolt
Title: E-Commerce Charging & Audio Equipment Analysis Utilities
Version: 1.0.0
Author: Abdullah Cairovolt [aut, cre]
Maintainer: Abdullah Cairovolt <abdullahcairovolt@gmail.com>
Packaged: 2026-06-10 13:10:00 UTC; amf0930
Description: Standard metrics converter and comparator for consumer electronics. Provides utility functions for converting battery capacity (mAh to Wh), comparing wall charger output times, and validating product specifications using standard formulas. Includes a sample dataset of electronic accessories compiled from CairoVolt's catalog.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://cairovolt.com/en/
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2026-06-18 10:10:02 UTC

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New package actibase with initial version 0.2.0
Package: actibase
Title: Baseline Functions for Actigraphy and Activity Processing and Analysis
Version: 0.2.0
Description: Provides baseline functions for actigraphy and activity data. This package is intended to be extended by downstream overlays such as 'actiread', 'actimetrics', and 'stepcount'.
License: GPL-3
Depends: R (>= 4.1.0)
Suggests: testthat, utils, covr, knitr, readr
Encoding: UTF-8
LazyData: true
Imports: magrittr, dplyr, lubridate, hms, tidyr, janitor, assertthat, vctrs
URL: https://github.com/jhuwit/actibase, https://jhuwit.github.io/actibase/
BugReports: https://github.com/jhuwit/actibase/issues
NeedsCompilation: no
Packaged: 2026-06-10 12:58:37 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 10:10:06 UTC

More information about actibase at CRAN
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Package SurrogateRank updated to version 3.0 with previous version 2.2 dated 2026-01-07

Title: Rank-Based Test to Evaluate a Surrogate Marker
Description: Uses a novel rank-based nonparametric approach to evaluate a surrogate marker in a small sample size setting. Details are described in Parast et al (2024) <doi:10.1093/biomtc/ujad035>, in Hughes A et al (2025) <doi:10.1002/sim.70241>, and in Hughes A et al (2026) <doi:10.48550/arXiv.2605.03819>. A tutorial for this package can be found at <https://www.laylaparast.com/surrogaterank> and a Shiny App implementing the package can be found at <https://parastlab.shinyapps.io/SurrogateRankApp/>.
Author: Layla Parast [aut, cre], Arthur Hughes [aut]
Maintainer: Layla Parast <parast@austin.utexas.edu>

Diff between SurrogateRank versions 2.2 dated 2026-01-07 and 3.0 dated 2026-06-18

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Package ProduceR updated to version 1.3 with previous version 1.2 dated 2026-05-19

Title: Concise and Efficient Tools for Everyday Statistical Production
Description: A set of concise and efficient tools for statistical production. Can also be used for data management. In statistical production, you deal with complex data and need to control your process at each step of your work. Concise functions are very helpful, because you do not hesitate to use them. The following functions are included in the package. 'dup' checks duplicates. 'miss' checks missing values. 'tac' computes contingency table of all columns. 'toc' compares two tables, spotting significant deviations. 'chi2_find' compares columns within a data.frame, spotting related categories of (a more complex function).
Author: Vincent Reduron [cre, aut]
Maintainer: Vincent Reduron <vincent.reduron@laposte.net>

Diff between ProduceR versions 1.2 dated 2026-05-19 and 1.3 dated 2026-06-18

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New package fable.intermittent with initial version 0.1.0
Package: fable.intermittent
Title: Forecasting Models for Intermittent Time Series
Version: 0.1.0
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>.
License: LGPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.1.0), fabletools (>= 0.6.0)
Imports: tsibble (>= 1.0.0), distributional (>= 0.3.0), nloptr (>= 2.0.0), rlang (>= 1.0.0), Rcpp (>= 1.0.0)
Suggests: dplyr, testthat (>= 3.3.0), tweedie, ggtime, ggplot2, tibble, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/StefanoDamato/fable.intermittent
BugReports: https://github.com/StefanoDamato/fable.intermittent/issues
NeedsCompilation: yes
Packaged: 2026-06-09 07:19:12 UTC; stefano.damato
Author: Stefano Damato [aut, cre, cph] , Lorenzo Zambon [aut] , Dario Azzimonti [aut]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 10:00:02 UTC

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Package ecotraj updated to version 1.2.2 with previous version 1.2.0 dated 2025-11-11

Title: Ecological Trajectory Analysis
Description: Analysis of temporal changes (i.e. dynamics) of ecological entities, defined as trajectories on a chosen multivariate space, by providing a set of trajectory metrics and visual representations [De Caceres et al. (2019) <doi:10.1002/ecm.1350>; and Sturbois et al. (2021) <doi:10.1016/j.ecolmodel.2020.109400>; Djeghri et al. (2026a) <doi:10.1002/ecm.70058>; Djeghri et al. (2026b) <doi:10.24072/pcjournal.736>]. Includes functions to estimate metrics for individual trajectories (length, directionality, angles, ...) as well as metrics to relate pairs of trajectories (dissimilarity and convergence). Functions are also provided to estimate the ecological quality of ecosystem with respect to reference conditions [Sturbois et al. (2023) <doi:10.1002/ecs2.4726>].
Author: Miquel De Caceres [aut, cre] , Nicolas Djeghri [aut] , Anthony Sturbois [aut] , Javier De la Casa [ctb]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

Diff between ecotraj versions 1.2.0 dated 2025-11-11 and 1.2.2 dated 2026-06-18

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Package Rpolyhedra readmission to version 0.6.0 with previous version 0.5.6 dated 2024-11-06

Title: Polyhedra Database
Description: A polyhedra database scraped from various sources as R6 objects and 'rgl' visualizing capabilities.
Author: Alejandro Baranek [aut, com, cre, cph], Leonardo Belen [aut, com, cph], qbotics [cph], Barret Schloerke [rev], Lijia Yu [rev]
Maintainer: Alejandro Baranek <abaranek@dc.uba.ar>

This is a re-admission after prior archival of version 0.5.6 dated 2024-11-06

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Package rolog readmission to version 0.9.27 with previous version 0.9.26 dated 2026-04-21

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>

This is a re-admission after prior archival of version 0.9.26 dated 2026-04-21

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Package nycOpenData readmission to version 0.2.2 with previous version 0.2.1 dated 2026-04-11

Title: A Lightweight Interface to NYC Open Data APIs
Description: Provides a unified set of helper functions to access datasets from the NYC Open Data platform <https://opendata.cityofnewyork.us/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package includes endpoints for 311 service requests, DOB job applications, juvenile justice metrics, school safety, environmental data, event permitting, and additional citywide datasets.
Author: Christian Martinez [aut, cre] , Crystal Adote [ctb] , Jonah Dratfield [ctb] , Joyce Escatel-Flores [ctb] , Rob Hutto [ctb] , Isley Jean-Pierre [ctb] , Shannon Joyce [ctb] , Laura Rose-Werner [ctb] , Emma Tupone [ctb] , Xinru Wang [ctb]
Maintainer: Christian Martinez <c.martinez0@outlook.com>

This is a re-admission after prior archival of version 0.2.1 dated 2026-04-11

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Package LitFetchR updated to version 1.0.0 with previous version 0.2.2 dated 2026-04-14

Title: Automatically Fetching References Metadata from Literature Databases
Description: Provides functions to automatically retrieve and deduplicate reference metadata based on saved search strings. Access to Web of Science and Scopus requires personal API keys, while PubMed can be queried without one. The optional deduplication functionality requires the package 'ASySD' available from <https://github.com/camaradesuk/ASySD>.
Author: Thomas Dumond [cre, aut, cph] , Charles Caraguel [ctb] , Torben Nielsen [ctb]
Maintainer: Thomas Dumond <thomas.dumond@adelaide.edu.au>

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Package VARshrink updated to version 0.5.0 with previous version 0.3.3 dated 2026-01-09

Title: Shrinkage Estimation Methods for Vector Autoregressive Models
Description: Vector autoregressive (VAR) model is a fundamental and effective approach for multivariate time series analysis. Shrinkage estimation methods can be applied to high-dimensional VAR models with dimensionality greater than the number of observations, contrary to the standard ordinary least squares method. This package is an integrative package delivering nonparametric, parametric, and semiparametric methods in a unified and consistent manner, such as the multivariate ridge regression in Golub, Heath, and Wahba (1979) <doi:10.2307/1268518>, a James-Stein type nonparametric shrinkage method in Opgen-Rhein and Strimmer (2007) <doi:10.1186/1471-2105-8-S2-S3>, and Bayesian estimation methods using noninformative and informative priors in Lee, Choi, and S.-H. Kim (2016) <doi:10.1016/j.csda.2016.03.007> and Ni and Sun (2005) <doi:10.1198/073500104000000622>.
Author: Namgil Lee [aut, cre, cph] , Heon Young Yang [ctb], Sung-Ho Kim [aut, cph]
Maintainer: Namgil Lee <namgil.lee@kangwon.ac.kr>

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Package MAIHDA updated to version 0.1.11 with previous version 0.1.8 dated 2026-05-16

Title: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
Description: Provides a comprehensive toolkit for conducting Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.026> and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. Automatically generates intersectional strata, fits analytical models, extracts statistics, and produces visualizations.
Author: Hamid Bulut [aut, cre]
Maintainer: Hamid Bulut <me@hamidbulut.com>

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

Title: Automated Data Quality Checks for Recurring Dataset Deliveries
Description: Automates quality verification of recurring external dataset deliveries. For each new file arrival, it runs single-snapshot quality checks, compares the file to the previous delivery, writes a self-contained 'HTML' report, and records summary statistics in a local 'SQLite' database for long-term trend tracking. Supports 'CSV' and fixed-width formats. Custom organisation-specific checks can be supplied as plain R files.
Author: Mick Mioduszewski [aut, cre]
Maintainer: Mick Mioduszewski <mick@mioduszewski.net>

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Package MultiATSM updated to version 1.5.1-2 with previous version 1.5.1-1 dated 2026-02-26

Title: Multicountry Term Structure of Interest Rates Models
Description: Package for estimating, analyzing, and forecasting multi-country macro-finance affine term structure models (ATSMs). All setups build on the single-country unspanned macroeconomic risk framework from Joslin, Priebsch, and Singleton (2014, JF) <doi:10.1111/jofi.12131>. Multicountry extensions by Jotikasthira, Le, and Lundblad (2015, JFE) <doi:10.1016/j.jfineco.2014.09.004>, Candelon and Moura (2023, EM) <doi:10.1016/j.econmod.2023.106453>, and Candelon and Moura (2024, JFEC) <doi:10.1093/jjfinec/nbae008> are also available. The package also provides tools for bias correction as in Bauer Rudebusch and Wu (2012, JBES) <doi:10.1080/07350015.2012.693855>, bootstrap analysis, and several graphical/numerical outputs.
Author: Rubens Moura [aut, cre]
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Package GPArotation updated to version 2026.6-1 with previous version 2026.4-1 dated 2026-04-29

Title: Gradient Projection Factor Rotation
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Author: Coen Bernaards [aut, cre], Paul Gilbert [aut], Robert Jennrich [aut]
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Package testit updated to version 1.1 with previous version 1.0 dated 2026-05-13

Title: A Simple Package for Testing R Packages
Description: A minimal, dependency-free testing framework for R packages. Write tests as simple R expressions that return TRUE, using assert() for assertions (with informative error messages on failure), has_error() / has_warning() / has_message() for testing conditions, and test_pkg() to run all tests with full access to internal (non-exported) package functions. Snapshot testing via Markdown files is also supported.
Author: Yihui Xie [aut, cre] , Tomas Kalibera [ctb], Steven Mortimer [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package qwraps2 updated to version 0.6.3 with previous version 0.6.2 dated 2026-02-28

Title: Quick Wraps 2
Description: A collection of (wrapper) functions the creator found useful for quickly placing data summaries and formatted regression results into '.Rnw' or '.Rmd' files. Functions for generating commonly used graphics, such as receiver operating curves or Bland-Altman plots, are also provided by 'qwraps2'. 'qwraps2' is an updated version of a package 'qwraps'. The original version 'qwraps' was never submitted to CRAN but can be found at <https://github.com/dewittpe/qwraps/>. The implementation and limited scope of the functions within 'qwraps2' <https://github.com/dewittpe/qwraps2/> is fundamentally different from 'qwraps'.
Author: Peter DeWitt [aut, cre] , Tell Bennett [ctb]
Maintainer: Peter DeWitt <dewittpe@gmail.com>

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Package JWileymisc updated to version 1.4.5 with previous version 1.4.4 dated 2025-09-06

Title: Miscellaneous Utilities and Functions
Description: Miscellaneous tools and functions, including: generate descriptive statistics tables, format output, visualize relations among variables or check distributions, and generic functions for residual and model diagnostics.
Author: Joshua F. Wiley [aut, cre]
Maintainer: Joshua F. Wiley <jwiley.psych@gmail.com>

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Package IRISSeismic updated to version 1.9.0 with previous version 1.8.0 dated 2026-03-19

Title: Classes and Methods for Seismic Data Analysis
Description: Provides classes and methods for seismic data analysis. The base classes and methods are inspired by the python code found in the 'ObsPy' python toolbox <https://github.com/obspy/obspy>. Additional classes and methods support data returned by web services provided by the EarthScope Consortium. <https://service.earthscope.org/>.
Author: Jonathan Callahan [aut], Rob Casey [aut], Gillian Sharer [aut, cre], Mary Templeton [aut], Chad Trabant [ctb]
Maintainer: Gillian Sharer <gillian.sharer@earthscope.org>

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Package ergMargins updated to version 1.6.2 with previous version 1.6.1 dated 2025-09-13

Title: Process Analysis for Exponential Random Graph Models
Description: Calculates marginal effects and conducts process analysis in exponential family random graph models (ERGM). Includes functions to conduct mediation and moderation analyses and to diagnose multicollinearity. URL: <https://github.com/sduxbury/ergMargins>. BugReports: <https://github.com/sduxbury/ergMargins/issues>. Duxbury, Scott W (2021) <doi:10.1177/0049124120986178>. Long, J. Scott, and Sarah Mustillo (2018) <doi:10.1177/0049124118799374>. Mize, Trenton D. (2019) <doi:10.15195/v6.a4>. Karlson, Kristian Bernt, Anders Holm, and Richard Breen (2012) <doi:10.1177/0081175012444861>. Duxbury, Scott W (2018) <doi:10.1177/0049124118782543>. Duxbury, Scott W, Jenna Wertsching (2023) <doi:10.1016/j.socnet.2023.02.003>. Huang, Peng, Carter Butts (2023) <doi:10.1016/j.socnet.2023.07.001>.
Author: Scott Duxbury [aut, cre, cph]
Maintainer: Scott Duxbury <duxbury@email.unc.edu>

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Package DrugUtilisation updated to version 1.2.0 with previous version 1.1.0 dated 2026-01-28

Title: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model
Description: Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.
Author: Marti Catala [aut, cre] , Mike Du [ctb] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package ojsr (with last version 0.1.5) was removed from CRAN

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

2024-11-13 0.1.5
2020-09-23 0.1.2
2020-07-01 0.1.1
2020-04-24 0.1.0

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