Wed, 23 Sep 2026

New package funHMM with initial version 0.1.0
Package: funHMM
Title: Hidden Markov Models for Functional Data
Version: 0.1.0
Description: Fits hidden Markov models to time-ordered sequences of curves, such as sample paths of stochastic processes or smoothed functional observations, without projecting the curves onto a finite basis. The emission functions are Onsager-Machlup functionals of Gaussian measures on function spaces, which allows for Brownian motion with drift, fractional Brownian motion, Ornstein-Uhlenbeck processes and non-parametric state means under a choice of Cameron-Martin norm. The Baum-Welch and Viterbi algorithms are implemented in C. Methods are described in Kashlak, Loliencar and Heo (2023) <https://jmlr.org/papers/v24/22-0685.html>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, grDevices
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-11 17:42:01 UTC; adam
Author: Adam B Kashlak [aut, cre]
Maintainer: Adam B Kashlak <kashlak@ualberta.ca>
Repository: CRAN
Date/Publication: 2026-09-24 04:00:02 UTC

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Package BioTooltipR updated to version 0.1.2 with previous version 0.1.1 dated 2026-08-20

Title: Add Bio Tooltips to HTML Reports
Description: Provides lightweight helpers for adding gene and chemical tooltips to 'R Markdown', 'Quarto', 'shiny', 'pkgdown', and other HTML outputs. The package emits small HTML spans with module-specific data attributes and attaches the browser-side 'bio-tooltips' JavaScript and CSS assets through 'htmltools'. Entity lookup and rendering are handled in the browser by 'bio-tooltips'; this package does not query biological databases from R during package checks.
Author: Matthew J. Meier [aut, cre]
Maintainer: Matthew J. Meier <matthew.meier@hc-sc.gc.ca>

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Package greenR updated to version 0.0.1.8 with previous version 0.0.1.7 dated 2026-05-29

Title: Green Index Quantification, Analysis and Visualization
Description: Quantification, analysis, and visualization of urban greenness within city networks using data from 'OpenStreetMap' <https://www.openstreetmap.org>.
Author: Sachit Mahajan [aut, cre]
Maintainer: Sachit Mahajan <sachitmahajan90@gmail.com>

Diff between greenR versions 0.0.1.7 dated 2026-05-29 and 0.0.1.8 dated 2026-09-23

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Package rtmpt updated to version 2.1-1 with previous version 2.0-3 dated 2025-03-19

Title: Fitting (Exponential/Diffusion) RT-MPT Models
Description: Fit (exponential or diffusion) response-time extended multinomial processing tree (RT-MPT) models by Klauer and Kellen (2018) <doi:10.1016/j.jmp.2017.12.003> and Klauer, Hartmann, and Meyer-Grant (submitted). The RT-MPT class not only incorporate frequencies like traditional multinomial processing tree (MPT) models, but also latencies. This enables it to estimate process completion times and encoding plus motor execution times next to the process probabilities of traditional MPTs. 'rtmpt' is a hierarchical Bayesian framework and posterior samples are sampled using a Metropolis-within-Gibbs sampler (for exponential RT-MPTs) or Hamiltonian-within-Gibbs sampler (for diffusion RT-MPTs).
Author: Raphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb, ths], Constantin G. Meyer-Grant [aut, ctb], Henrik Singmann [ctb, aut], Jean Marie Linhart [ctb], Frederick Novomestky [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

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Package BrainNetTest updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-05

Title: Hypothesis Testing for Populations of Brain Networks
Description: Non-parametric hypothesis testing for populations of brain networks represented as graphs, following the L1-distance ANOVA framework of Fraiman and Fraiman (2018) <doi:10.1038/s41598-018-23152-5>. The package builds on this nonparametric graph-comparison framework, extending it with procedures for edge-level inference and identification of the specific connections driving group differences. In particular, it provides utilities to compute central (mean) graphs, pairwise Manhattan distances between adjacency matrices, the group test statistic T and its permutation p-value, and a fast permutation procedure to identify the critical edges that drive between-group differences. Helper functions to generate synthetic community-structured graphs and to visualise brain networks with communities are also included.
Author: Maximiliano Martino [aut, cre] , Daniel Fraiman [aut]
Maintainer: Maximiliano Martino <maxii.martino@gmail.com>

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Package autosync updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-06

Title: 'Automerge' Sync Server and Client
Description: A WebSocket-based implementation of the 'automerge-repo' synchronization protocol used by 'sync.automerge.org'. Acts as a sync server, enabling 'R' to serve as a synchronization hub for 'Automerge' clients in 'JavaScript', 'Rust', and other languages, and as a client for fetching, editing, and synchronizing documents hosted on remote servers.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package plnr updated to version 2026.9.23 with previous version 2025.11.22 dated 2025-11-22

Title: A Framework for Planning and Executing Analyses
Description: A comprehensive framework for planning and executing analyses in R. It provides a structured approach to running the same function multiple times with different arguments, executing multiple functions on the same datasets, and creating systematic analyses across multiple strata or variables. The framework is particularly useful for applying the same analysis across multiple strata (e.g., locations, age groups), running statistical methods on multiple variables (e.g., exposures, outcomes), generating multiple tables or graphs for reports, and creating systematic surveillance analyses. Key features include efficient data management, structured analysis planning, flexible execution options, built-in debugging tools, and hash-based caching.
Author: Richard Aubrey White [aut, cre, cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>

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Package PLNmodels updated to version 1.3.2 with previous version 1.3.1 dated 2026-08-29

Title: Poisson Lognormal Models
Description: The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, 2021 <doi:10.3389/fevo.2021.588292>) can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data, discriminant analysis, model-based clustering and network inference. Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
Author: Julien Chiquet [aut, cre] , Mahendra Mariadassou [aut] , Stephane Robin [aut], Francois Gindraud [ctb], Julie Aubert [ctb], Bastien Batardiere [ctb], Giovanni Poggiato [ctb], Cole Trapnell [ctb], Maddy Duran [ctb], Ryan Friedman [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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Package fastei updated to version 0.0.21 with previous version 0.0.19 dated 2026-05-20

Title: Methods for ''An accurate, fast, and scalable ecological inference algorithm for the R x C case''
Description: Estimates the probability matrix for the R×C Ecological Inference problem using the Expectation-Maximization Algorithm with four approximation methods for the E-Step, and an exact method as well. It also provides a bootstrap function to estimate the standard deviation of the estimated probabilities. In addition, it has functions that aggregate rows optimally to have more reliable estimates in cases of having few data points. For comparing the probability estimates of two groups, a Wald test routine is implemented. The library has data from the first round of the Chilean Presidential Election 2021 and can also generate synthetic election data. Methods described in Ubilla Pavez, Pablo; Hermosilla, Daniel; Thraves, Charles (2026) ''An accurate, fast, and scalable ecological inference algorithm for the R×C case'', Statistics and Computing 36, Article 195 <doi:10.1007/s11222-026-10946-1>.
Author: Charles Thraves [aut] , Pablo Ubilla [aut] , Daniel Hermosilla [aut, cre]
Maintainer: Daniel Hermosilla <daniel.hermosilla.r@ug.uchile.cl>

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Package dfeR updated to version 2.0.0 with previous version 1.0.1 dated 2025-01-15

Title: Common Department for Education Analysis Tasks
Description: Provides preferred methods for common analytical tasks undertaken across the Department for Education in England, including number formatting, project templates and curated reference data.
Author: Cam Race [aut, cre], Department for Education, England [cph], Laura Selby [aut], Adam Robinson [aut], Jen Machin [ctb], Jake Tufts [ctb], Rich Bielby [ctb] , Menna Zayed [ctb], Lauren Snaathorst [ctb], Lara Garbett [ctb], Paula Rocha [ctb]
Maintainer: Cam Race <cameron.race@education.gov.uk>

Diff between dfeR versions 1.0.1 dated 2025-01-15 and 2.0.0 dated 2026-09-23

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Package UKFE updated to version 2.15.1 with previous version 2.15.0 dated 2026-09-16

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

Diff between UKFE versions 2.15.0 dated 2026-09-16 and 2.15.1 dated 2026-09-23

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Package margEVT updated to version 0.3.0 with previous version 0.2.0 dated 2026-08-26

Title: Regularized Point Processes and Stochastic Marginalization for Extremes
Description: Implements a non-stationary extreme value analysis framework by coupling a covariate-driven Non-Homogeneous Poisson Process (NHPP) with Elastic-Net regularization and analytical gradients. Provides methods for estimating conditional return levels and unconditional (marginalized) return levels via parametric stochastic integration over stable Vector Autoregressive VAR(p) or univariate autoregressive covariate trajectories, or non-parametric annual-block resampling. Supports block-specific penalty controls, operational active-set thresholds, conditional parametric bootstrap inference, and walk-forward assessment.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package rtransparency updated to version 1.2.0 with previous version 1.0.0 dated 2026-07-01

Title: Identifies Indicators of Transparency
Description: Use this package to identify indicators of transparency within the published literature. It can identify and extract text related to indicators of transparency from specifically formatted TXT files and from PMC XML files (i.e. XML files downloaded from the PubMed Central). It builds on the original 'rtransparent' tool of Serghiou et al. (2021) <doi:10.1371/journal.pbio.3001107>.
Author: Stylianos Serghiou [aut], Ahmad Sofi-Mahmudi [cre, aut]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>

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Package rfair updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-01

Title: Assess the FAIRness of Research Data Objects and Software
Description: A native R implementation of the F-UJI (FAIRsFAIR Research Data Object Assessment) and FRSM (FAIR for Research Software) metrics for evaluating how well a research data object or piece of research software satisfies the FAIR principles (Findable, Accessible, Interoperable, Reusable). The software metrics operationalize the FAIR Principles for Research Software (FAIR4RS) of Chue Hong et al. (2022) <doi:10.15497/RDA00068>. Given a persistent identifier, URL, or code repository, 'rfair' resolves it, harvests metadata from landing pages and registries, and scores it against the FAIRsFAIR metrics of Devaraju and Huber (2020) <doi:10.5281/zenodo.3775793> entirely in R, without requiring an external assessment server. 'rfair' began as a fork of the 'rfuji' F-UJI API client and reimplements the assessment engine natively.
Author: Ahmad Sofi-Mahmudi [aut, cre] , Steffen Neumann [ctb] , PANGAEA [cph]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>

Diff between rfair versions 0.1.0 dated 2026-07-01 and 0.2.0 dated 2026-09-23

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Package PsyMetricTools updated to version 1.2.4 with previous version 1.2.2 dated 2026-08-06

Title: Psychometric and Statistical Analysis Tools
Description: Provides tools for psychometric and statistical analysis in social sciences, including functions for data preprocessing, factor analysis, reliability testing, descriptive statistics, visualization of Likert-scale items, measurement invariance analysis, and handling of multi-class imbalance. Facilitates advanced data analysis tasks commonly encountered in psychological and educational research. Includes an updated easy_invariance() function for ordinal data following Wu and Estabrook (2016) <doi:10.1037/met0000051>.
Author: Jose Ventura-Leon [aut, cre]
Maintainer: Jose Ventura-Leon <jventuraleon@gmail.com>

Diff between PsyMetricTools versions 1.2.2 dated 2026-08-06 and 1.2.4 dated 2026-09-23

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Package muiMaterial updated to version 0.2.3 with previous version 0.2.2 dated 2026-07-02

Title: 'Material UI' for 'shiny' Apps and 'Quarto'
Description: Wraps the 'Material UI' React components <https://mui.com/> for use in R, 'shiny' applications and 'quarto' documents, including inputs, layouts, navigation, and surfaces. All inputs come with R usage examples.
Author: Felix Luginbuhl [aut, cre, cph] , MUI [cph] , Emotion team [cph] , Meta Platforms, Inc. and affiliates [cph]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package mlr3viz updated to version 0.11.2 with previous version 0.11.1 dated 2026-07-25

Title: Visualizations for 'mlr3'
Description: Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, learners, predictions, benchmark results, tuning instances and filters via the 'autoplot()' generic of 'ggplot2'. The package draws plots with the 'viridis' color palette and applies the minimal theme. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [aut] , Patrick Schratz [aut] , Raphael Sonabend [aut] , Marc Becker [cre, aut] , Jakob Richter [aut] , Damir Pulatov [ctb], John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3viz versions 0.11.1 dated 2026-07-25 and 0.11.2 dated 2026-09-23

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Package wcc updated to version 0.4.2 with previous version 0.4.1 dated 2026-07-17

Title: Windowed Cross Correlation
Description: Calculates Windowed Cross Correlation for pairs of time series. Provides support for surrogate analysis for nonparametric test of significance. Calculates aggregate statistics over a range of parameter values. Plots the results as Windowed Cross Correlation plots and heat maps. The software is described in Boker, S. M., Rotondo, J. L., Xu, M., & King, K. (2002). Windowed cross-correlation and peak picking for the analysis of variability in the association between behavioral time series. Psychological Methods, 7(3), 338.
Author: Steven Boker [aut, cre], Minquan Xu [aut], Sareena Chadha [aut], Christopher Welker [aut], Jingyun Wu [aut], Pascal Deboeck [aut], Aaron Peikert [aut], Claude [aut]
Maintainer: Steven Boker <smb3u@virginia.edu>

Diff between wcc versions 0.4.1 dated 2026-07-17 and 0.4.2 dated 2026-09-23

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Package toxSummary updated to version 1.0.1 with previous version 1.0.0 dated 2024-02-27

Title: Visualize and Summarize Repeat-Dose Toxicology Study Results
Description: A 'shiny' app that generates plots and summary tables from repeat-dose toxicology study results to facilitate holistic evaluation of the drug safety of active pharmaceutical ingredients (API) prior to initiation of clinical trials.
Author: Yousuf Ali [cre, aut], Kevin Snyder [aut], FDA [cph]
Maintainer: Yousuf Ali <mdyousuf.ali@fda.hhs.gov>

Diff between toxSummary versions 1.0.0 dated 2024-02-27 and 1.0.1 dated 2026-09-23

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Package RKorAPClient updated to version 1.4.1 with previous version 1.4.0 dated 2026-09-09

Title: 'KorAP' Web Service Client Package
Description: A client package that makes the 'KorAP' web service API accessible from R. The corpus analysis platform 'KorAP' has been developed as a scientific tool to make potentially large, stratified and multiply annotated corpora, such as the 'German Reference Corpus DeReKo' or the 'Corpus of the Contemporary Romanian Language CoRoLa', accessible for linguists to let them verify hypotheses and to find interesting patterns in real language use. The 'RKorAPClient' package provides access to 'KorAP' and the corpora behind it for user-created R code, as a programmatic alternative to the 'KorAP' web user-interface. You can learn more about 'KorAP' and use it directly on 'DeReKo' at <https://korap.ids-mannheim.de/>.
Author: Marc Kupietz [aut, cre], Nils Diewald [ctb], Leibniz Institute for the German Language [cph, fnd]
Maintainer: Marc Kupietz <kupietz@ids-mannheim.de>

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Package rjd3providers updated to version 3.9.0 with previous version 3.8.0 dated 2026-07-13

Title: Interface to 'JDemetra+' 3.x Time Series Analysis Software
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to txt, csv, xml and spreadsheets files which are meant to be read by 'JDemetra+' Graphical User Interface.
Author: Jean Palate [aut], Alessandro Piovani [aut, cre, cph], Tanguy Barthelemy [aut, art], Eulalie Delaune [aut]
Maintainer: Alessandro Piovani <alessandro.piovani@istat.it>

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Package risq updated to version 3.0.1 with previous version 3.0.0 dated 2026-09-21

Title: Representativity Indicators for Survey Quality
Description: Calculate representativity indicators for survey quality based on survey data and response models. Use partial indicators to analyse the impact of individual variables and categories. Monitor changes in representativity during data collection. Improve representativity through adaptive survey design. Supports both R-indicators and coefficients of variation. See also Schouten, Cobben, Bethlehem (2009) <https://api.semanticscholar.org/CorpusID:33654901>, Shlomo, Skinner, Schouten (2012) <doi:10.1016/j.jspi.2011.07.008> and Schouten, Shlomo (2017) <doi:10.1111/insr.12159>.
Author: Reijer Idema [aut, cre], Barry Schouten [aut]
Maintainer: Reijer Idema <r.idema@cbs.nl>

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Package pharmaversesdtmjnj updated to version 0.0.6 with previous version 0.0.4 dated 2026-05-07

Title: J&J Innovative Medicine SDTM Test Data
Description: A set of Study Data Tabulation Model (SDTM) datasets constructed by modifying the 'pharmaversesdtm' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.
Author: David Munoz Tord [aut, cre], Nicholas Masel [aut], Joe Kovach [aut], Renfei Mao [ctb], J&J Innovative Medicine [cph, fnd]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package lidaRtRee readmission to version 4.0.9 with previous version 4.0.8 dated 2025-01-23

Title: Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Description: Provides functions for forest objects detection, structure metrics computation, model calibration and mapping with airborne laser scanning: co-registration of field plots (Monnet and Mermin (2014) <doi:10.3390/f5092307>); tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation with the area-based approach: model calibration with ground reference, and maps export (Aussenac et al. (2023) <doi:10.12688/openreseurope.15373.2>); extraction of both physical (gaps, edges, trees) and statistical features useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>) and forest maturity mapping (Fuhr et al. (2022) <doi:10.1002/rse2.274>).
Author: Jean-Matthieu Monnet [aut, cre] , Pascal Obstetar [ctb]
Maintainer: Jean-Matthieu Monnet <jean-matthieu.monnet@inrae.fr>

This is a re-admission after prior archival of version 4.0.8 dated 2025-01-23

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Package iglm updated to version 1.2.6 with previous version 1.2.5 dated 2026-07-08

Title: Regression under Interference in Connected Populations
Description: An implementation of generalized linear models (GLMs) for studying relationships among attributes in connected populations, where responses of connected units can be dependent, as introduced by Fritz et al. (2025) <doi:10.1080/01621459.2025.2565851>. 'iglm' extends GLMs for independent responses to dependent responses and can be used for studying spillover in connected populations and other network-mediated phenomena.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

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Package decimal updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-24

Title: Exact Arbitrary-Precision Decimal Vectors
Description: Arbitrary-precision vectors with an exact decimal representation, avoiding the rounding surprises of binary floating point. Built on the 'mpdecimal' C library, arithmetic is governed by an explicit decimal context controlling precision, rounding, and signaling, and vectors integrate with 'vctrs' for use in data frames, 'tibble' objects, summaries, and common numeric workflows. Missing values, signed zeros, infinities, and not-a-number values are supported throughout. The arithmetic model follows Cowlishaw (2009) "General Decimal Arithmetic" <https://speleotrove.com/decimal/decarith.html>.
Author: Pedro Baltazar [aut, cre, cph], Stefan Krah [ctb, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

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Package data.sketches updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-09

Title: Probabilistic Streaming Data Sketches
Description: Provides an interface to the 'Apache DataSketches' (<https://datasketches.apache.org/>) library of streaming algorithms for approximate analytics on data too large to hold or process exactly. Sketches are compact, mergeable summaries built in a single pass over a stream that answer queries such as approximate distinct counts, quantiles and ranks, frequent items and point-frequency estimates, weighted sampling, and set membership with mathematically proven error bounds. Implements Karnin-Lang-Liberty (KLL), Relative Error Quantiles (REQ), t-Digest, HyperLogLog (HLL), Compressed Probabilistic Counting (CPC), Theta, Frequent Items, Count-Min, Array of Doubles, Variance Optimal (VarOpt), Exact and Bounded Probabilistic Proportional-to-Size (EBPPS), and Bloom filter sketches, with native serialization for interoperability with other 'Apache DataSketches' implementations.
Author: Pedro Baltazar [aut, cre, cph], The Apache Software Foundation [ctb] , Stephan Brumme [ctb] , Austin Appleby [ctb] , Sean Eron Anderson [ctb]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

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Package cpp4r updated to version 1.3.0 with previous version 1.1.0 dated 2026-07-21

Title: Header-Only 'C++' and 'R' Interface
Description: Provides a header only, 'C++' interface to 'R' with enhancements over 'cpp11'. Enforces copy-on-write semantics consistent with 'R' behavior. Offers native support for ALTREP objects, 'UTF-8' string handling, modern 'C++' features and idioms, and reduced memory requirements. Allows for vendoring, making it useful for restricted environments. Compared to 'cpp11', it adds support for converting 'C++' maps to 'R' lists, 'Roxygen' documentation directly in 'C++' code, proper handling of matrix attributes, support for nullable external pointers, bidirectional copy of complex number types, flexibility in type conversions, use of nullable pointers, and various performance optimizations.
Author: Mauricio Vargas Sepulveda [aut, cre] , Posit Software, PBC [aut]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package billboarder updated to version 0.5.2 with previous version 0.5.1 dated 2026-01-29

Title: Create Interactive Chart with the JavaScript 'Billboard' Library
Description: Provides an 'htmlwidgets' interface to 'billboard.js', a re-usable easy interface JavaScript chart library, based on D3 v4+. Chart types include line charts, scatterplots, bar/lollipop charts, histogram/density plots, pie/donut charts and gauge charts. All charts are interactive, and a proxy method is implemented to smoothly update a chart without rendering it again in 'shiny' apps.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], NAVER Corp [cph] , Mike Bostock [cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package apexcharter updated to version 0.5.1 with previous version 0.5.0 dated 2026-06-23

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 comorbidPGS (with last version 1.0.0) was removed from CRAN

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

2025-07-15 1.0.0
2024-04-30 0.3.4

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Package gfonts updated to version 0.2.1 with previous version 0.2.0 dated 2023-01-08

Title: Offline 'Google' Fonts for 'Markdown' and 'Shiny'
Description: Download 'Google' fonts and generate 'CSS' to use in 'rmarkdown' documents and 'shiny' applications. Some popular fonts are included and ready to use.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], Mario Ranftl [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package Bayesrel updated to version 0.8.0 with previous version 0.7.9 dated 2026-07-28

Title: Bayesian Reliability Estimation
Description: Functionality for reliability estimates. For 'unidimensional' tests: Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the Greatest lower bound and coefficient omega_u ('unidimensional') in a Bayesian and a frequentist version. For multidimensional tests: omega_t (total) and omega_h (hierarchical). The results include confidence and credible intervals, the probability of a coefficient being larger than a cutoff, and a check for the factor models, necessary for the omega coefficients. The method for the Bayesian 'unidimensional' estimates, except for omega_u, is sampling from the posterior inverse 'Wishart' for the covariance matrix based measures (see 'Murphy', 2007, <https://groups.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>). The Bayesian omegas (u, t, and h) are obtained by 'Gibbs' sampling from the conditional posterior distributions of (1) the single factor model, (2) the second-order factor model, (3) the bi-factor model, (4) the correlated factor model ('Lee', 2007 [...truncated...]
Author: Julius M. Pfadt [aut, cre] , Don van den Bergh [aut] , Joris Goosen [aut]
Maintainer: Julius M. Pfadt <julius.pfadt@gmail.com>

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Package nonprobsvy updated to version 0.3.0 with previous version 0.2.3 dated 2025-08-20

Title: Inference Based on Non-Probability Samples
Description: Statistical inference with non-probability samples when auxiliary information from external sources such as probability samples or population totals or means is available. The package implements various methods such as inverse probability (propensity score) weighting, mass imputation and doubly robust approach. Details can be found in: Chen et al. (2020) <doi:10.1080/01621459.2019.1677241>, Yang et al. (2020) <doi:10.1111/rssb.12354>, Kim et al. (2021) <doi:10.1111/rssa.12696>, Yang et al. (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021001/article/00004-eng.htm> and Wu (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022002/article/00002-eng.htm>. For details on the package and its functionalities see <doi:10.18637/jss.v117.i02>.
Author: Lukasz Chrostowski [aut, ctb], Maciej Beresewicz [aut, cre] , Piotr Chlebicki [aut, ctb]
Maintainer: Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl>

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Package CCI updated to version 0.3.7 with previous version 0.3.6.1 dated 2026-03-03

Title: Computational Test for Conditional Independence
Description: Tool for performing computational testing for conditional independence between variables in a dataset. 'CCI' implements permutation in combination with Monte Carlo Cross-Validation in generating null distributions and test statistics. For more details see Computational Test for Conditional Independence (2024) <doi:10.3390/a17080323>.
Author: Christian Thorjussen [aut, cre] , Kristian Hovde Liland [aut]
Maintainer: Christian Thorjussen <christianbern@gmail.com>

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Package GeoModels updated to version 2.2.9 with previous version 2.2.8 dated 2026-08-21

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

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Package tseLCA updated to version 1.1.1 with previous version 1.1.0 dated 2026-09-19

Title: Three-Step Estimation for Latent Class Analysis
Description: Implements BCH (Bolck-Croon-Hagenaars) <doi:10.1093/pan/mph001> and ML (Vermunt's maximum likelihood) <doi:10.1093/pan/mpq025> approaches for three-step estimation of latent class models with covariates and distal outcomes, following Bakk, Tekle & Vermunt (2013) <doi:10.1177/0081175012470644>, Bakk, Oberski & Vermunt (2014) <https://www.jstor.org/stable/24573086>, and Bakk & Kuha (2018) <doi:10.1007/s11336-017-9592-7>. Built on 'multilevLCA' (Lyrvall et al., 2025) <doi:10.1080/00273171.2025.2473935> for Step-1 measurement model estimation, this package extends it with support for Gaussian, Poisson, and binomial distal outcome families. Unlike 'poLCA', which relies on one-step estimation and cannot accommodate a measurement model from a different sample, this package uses a stepwise approach to prevent the structural model from influencing latent class formation. Implements correct sandwich variance estimation that propagates measurement u [...truncated...]
Author: Sam Lee [aut, cre, cph] , Jay Goodliffe [aut, cph]
Maintainer: Sam Lee <samlee@arizona.edu>

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Package Statamarkdown updated to version 1.1.0 with previous version 1.0.0 dated 2026-08-21

Title: 'Stata' Markdown
Description: Settings and functions to extend the 'knitr' 'Stata' engine.
Author: Doug Hemken [aut] ), Tom Palmer [aut, cre] , Philipp Lepert [ctb]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package rqlm updated to version 4.5-1 with previous version 4.4-1 dated 2026-07-13

Title: Modified Poisson Regression for Binary Outcome and Related Methods
Description: Modified Poisson, logistic and least-squares regression analyses for binary outcomes of Zou (2004) <doi:10.1093/aje/kwh090>, Noma (2026)<doi:10.1016/j.spl.2026.110698>, and Cheung (2007) <doi:10.1093/aje/kwm223> have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. In addition, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals.
Author: Hisashi Noma [aut, cre]
Maintainer: Hisashi Noma <noma@ism.ac.jp>

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Package rlibkriging updated to version 1.2-2 with previous version 1.1-1 dated 2026-07-12

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around by Pascal Have of 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Yann Richet [aut, cre] , Pascal Have [aut], Yves Deville [aut], Conrad Sanderson [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Mike Smith [ctb]
Maintainer: Yann Richet <yann.richet@asnr.fr>

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Package pmxNODE updated to version 0.2.1 with previous version 0.1.0 dated 2025-11-26

Title: Application of NODEs in 'Monolix', 'NONMEM', and 'nlmixr2'
Description: An easy-to-use tool for implementing Neural Ordinary Differential Equations (NODEs) in pharmacometric software such as 'Monolix', 'NONMEM', and 'nlmixr2', see Bräm et al. (2024) <doi:10.1007/s10928-023-09886-4> and Bräm et al. (2025) <doi:10.1002/psp4.13265>. The main functionality is to automatically generate structural model code describing computations within a neural network. Additionally, parameters and software settings can be initialized automatically. For using these additional functionalities with 'Monolix', 'pmxNODE' interfaces with 'MonolixSuite' via the 'lixoftConnectors' package. The 'lixoftConnectors' package is distributed with 'MonolixSuite' (<https://monolixsuite.slp-software.com/r-functions/2024R1/package-lixoftconnectors>) and is not available from public repositories.
Author: Dominic Braem [aut, cre] , Bernhard Steiert [ctb], Gilbert Koch [ctb], Matthew Fidler [ctb]
Maintainer: Dominic Braem <domi.braem@hotmail.com>

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Package spca updated to version 1.1.4 with previous version 1.1.3 dated 2026-08-31

Title: Least Squares Sparse Principal Components Analysis
Description: Implements least-squares sparse principal component analysis with cardinality constraints. The package has an efficient C++ backend and provides functions for fitting, summarizing, comparing, and visualizing sparse principal component models. The approach follows Merola (2015) <doi:10.1111/anzs.12128> and Merola and Chen (2019) <doi:10.1016/j.jmva.2019.04.001>.
Author: Giovanni Maria Merola [aut, cre]
Maintainer: Giovanni Maria Merola <merolagio@gmail.com>

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Package sfadv updated to version 1.0.2 with previous version 1.0.1 dated 2017-06-19

Title: Advanced Methods for Stochastic Frontier Analysis
Description: Stochastic frontier analysis with advanced methods. In particular, it applies the approach proposed by Latruffe et al. (2017) <DOI:10.1093/ajae/aaw077> to estimate a stochastic frontier with technical inefficiency effects when one input is endogenous.
Author: Yann Desjeux [aut, cre], Laure Latruffe [aut], Alain Carpentier [ctb]
Maintainer: Yann Desjeux <yann.desjeux@inrae.fr>

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Package partitions updated to version 1.11-1 with previous version 1.10-9 dated 2025-04-30

Title: Additive Partitions of Integers
Description: Additive partitions of integers. Enumerates the partitions, unequal partitions, and restricted partitions of an integer; the three corresponding partition functions are also given. Set partitions and now compositions and riffle shuffles are included.
Author: Robin K. S. Hankin [aut, cre] , Paul Egeler [ctb]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between partitions versions 1.10-9 dated 2025-04-30 and 1.11-1 dated 2026-09-23

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 vignettes/setpartitions.Rnw |    6 +--
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Package mwcsr readmission to version 0.1.13 with previous version 0.1.12 dated 2026-06-30

Title: Solvers for Maximum Weight Connected Subgraph Problem and Its Variants
Description: Algorithms for solving various Maximum Weight Connected Subgraph Problems, including variants with budget constraints, cardinality constraints, weighted edges and signals. The package represents an R interface to high-efficient solvers based on relax-and-cut approach (Álvarez-Miranda E., Sinnl M. (2017) <doi:10.1016/j.cor.2017.05.015>) mixed-integer programming (Loboda A., Artyomov M., and Sergushichev A. (2016) <doi:10.1007/978-3-319-43681-4_17>) and simulated annealing.
Author: Alexander Loboda [aut, cre], Nikolay Poperechnyi [aut], Eduardo Alvarez-Miranda [aut], Markus Sinnl [aut], Alexey Sergushichev [aut], Paul Hosler Jr. [cph] , www.hamcrest.org [cph] , Barak Naveh and Contributors [cph] , The Apache Software Foundation [...truncated...]
Maintainer: Alexander Loboda <aleks.loboda@gmail.com>

This is a re-admission after prior archival of version 0.1.12 dated 2026-06-30

Diff between mwcsr versions 0.1.12 dated 2026-06-30 and 0.1.13 dated 2026-09-23

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Package mhn updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-27

Title: The Modified Half-Normal Distribution
Description: Provides density, distribution, quantile, and random generation functions for the Modified Half-Normal (MHN) distribution, along with moments and mode; the Fox-Wright Psi normalizing constant is evaluated internally. The MHN distribution arises as a conditional posterior in Bayesian Markov chain Monte Carlo and generalizes the half-normal, truncated normal, and square-root gamma distributions. Implements efficient sampling via the Sun, Kong & Pal (2023) <doi:10.1080/03610926.2021.1934700> algorithms and the Gao & Wang (2025) <doi:10.1080/03610918.2025.2524551> relaxed transformed density rejection method.
Author: Tomotaka Momozaki [aut, cre]
Maintainer: Tomotaka Momozaki <momozaki.stat@gmail.com>

Diff between mhn versions 0.1.0 dated 2026-05-27 and 0.1.1 dated 2026-09-23

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Package HDBRR readmission to version 1.1.5 with previous version 1.1.4 dated 2022-10-05

Title: High Dimensional Bayesian Ridge Regression without MCMC
Description: Implements Bayesian ridge regression for high-dimensional data without using Markov chain Monte Carlo (MCMC). Posterior computations are performed using singular value decomposition (SVD) or QR decomposition. The package also provides variable selection and prediction methods.
Author: Blanca Monroy-Castillo [aut, cre], Paulino Perez-Rodriguez [ctb], Jose Crossa [ctb], Sergio Perez-Elizalde [aut]
Maintainer: Blanca Monroy-Castillo <blancamonroy.96@gmail.com>

This is a re-admission after prior archival of version 1.1.4 dated 2022-10-05

Diff between HDBRR versions 1.1.4 dated 2022-10-05 and 1.1.5 dated 2026-09-23

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Package nanonext updated to version 1.10.3 with previous version 1.10.2 dated 2026-08-04

Title: Lightweight Toolkit for Messaging, Concurrency and the Web
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. A toolkit for messaging, concurrency and the web. High-performance socket messaging over in-process, IPC, TCP, WebSocket and secure TLS transports implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and survey. A threaded concurrency framework with intuitive 'aio' objects that resolve automatically upon completion of asynchronous operations, and synchronisation primitives that allow R to wait on events signalled by concurrent threads. A unified HTTP server hosting REST endpoints, WebSocket connections and streaming on a single port, with a built-in HTTP client.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], Staysail Systems, Inc. [cph] , Capitar IT Group BV [cph] , The Mbed TLS Contributors [cph] , Pierre L'Ecuyer [cph] , sakura authors [cph] , R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

Diff between nanonext versions 1.10.2 dated 2026-08-04 and 1.10.3 dated 2026-09-23

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New package shinyreact with initial version 0.1.0
Package: shinyreact
Title: Client-Side 'React' Interface for 'Shiny'
Version: 0.1.0
Description: Server-side plumbing for the 'ui.tsx' pattern in 'Shiny': the user interface is defined in a client 'React' (<https://react.dev/>) bundle, and the 'Shiny' server contains only reactive computation. Provides page builders that discover and serve the client bundle, a render function that publishes any JSON-serializable value to the client, and custom messages to 'React' components. Ships no user interface components, so the app author owns the whole front end. The 'React' runtime and the client hooks are bundled, so no JavaScript build step is required to get started.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/shinyreact/r/, https://github.com/posit-dev/shinyreact
BugReports: https://github.com/posit-dev/shinyreact/issues
Imports: brio, cli, htmltools, jsonlite, rlang, shiny (>= 1.13.0), utils
Suggests: knitr, later, rmarkdown, shinytest2, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-13 14:22:17 UTC; barret
Author: Barret Schloerke [cre, aut] , Winston Chang [ctb] , Garrick Aden-Buie [ctb] , Carson Sievert [ctb] , Posit Software, PBC [cph, fnd] , Meta Platforms, Inc. [cph]
Maintainer: Barret Schloerke <barret@posit.co>
Repository: CRAN
Date/Publication: 2026-09-23 04:20:02 UTC

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New package HRRI with initial version 1.0.6
Package: HRRI
Title: Diagnostics for Soil-Plant-Microbial Redox Recovery
Version: 1.0.6
Date: 2026-09-12
Description: Provides diagnostic functions for integrating longitudinal soil, plant and microbial observations during redox disturbance and recovery. Functions calculate stoichiometric potential oxygen demand, accessible electron capacity from explicitly supplied inventories and kinetic parameters, recovery signatures, fixed-reference domain scores, and exploratory multiblock scores with observation-coverage diagnostics. Memory is represented as a holobiont state accumulating from mineralogical, plant-acclimation and microbial-community legacies. An illustrative simulator produces closed Fe and Mn inventories alongside synthetic observations; its carbon, nitrogen, sulfur and oxygen budgets are not closed and its parameters are not calibrated to field rates. Simulation benchmarks assess agreement with a prescribed synthetic target and do not constitute empirical validation or parameter identification. Accuracy assessment is cluster-aware: intervals come from resampling whole trajectories, agreement [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: ggplot2 (>= 3.4.0), graphics, grid, igraph (>= 1.5.0), rlang (>= 1.1.0), stats, utils, tidyr, tidyselect
Suggests: ggtern (>= 3.4.0), knitr, patchwork (>= 1.2.0), psych, rmarkdown, testthat (>= 3.0.0), viridis
VignetteBuilder: knitr
URL: https://github.com/mghotbi/HRRI, https://mghotbi.github.io/HRRI/
BugReports: https://github.com/mghotbi/HRRI/issues
NeedsCompilation: no
Packaged: 2026-09-13 14:45:59 UTC; mitraghotbi
Author: Mitra Ghotbi [aut, cre] , Marjan Ghotbi [ctb]
Maintainer: Mitra Ghotbi <mitra.ghotbi@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-23 04:30:02 UTC

More information about HRRI at CRAN
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