CRANberries

Mon, 27 Jul 2026

New package TextAnalysisR with initial version 0.1.4
Package: TextAnalysisR
Title: A Text Mining Workflow Tool
Version: 0.1.4
Description: Provides a text mining and natural language processing workflow for documents. Includes preprocessing via 'quanteda', lexical analysis (term frequency-inverse document frequency, log-odds ratios, lexical diversity) via 'tidytext', topic modeling via 'stm' and the 'BERTopic' approach, semantic similarity and document clustering on transformer representations, an interactive 'Shiny' interface with 'ggplot2' visualization, optional 'spaCy' preprocessing, and local 'sentence-transformers' or web-based ('OpenAI', 'Gemini') model providers for retrieval-augmented generation, as described in Shin et al. (2026) <doi:10.1177/07319487251412879>.
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: dplyr, DT, ggplot2, htmltools, htmlwidgets, igraph, magrittr, Matrix, methods, quanteda, quanteda.textstats, RColorBrewer, rlang, scales, shiny, tibble, tidyr, tidytext, widyr, withr
Suggests: aricode, tidylo, broom, patchwork, cluster, clusterCrit, colourpicker, covr, dbscan, digest, httr, jsonlite, knitr, markdown, MASS, moments, numform, officer, openxlsx, pdftools, progress, proxy, pscl, purrr, readxl, reticulate (>= 1.28), rmarkdown, roxygen2, Rtsne, shinyBS, shinybusy, shinyjs, spelling, stm, stopwords, stringr, syuzhet, testthat (>= 3.0.0), textdata, umap, plotly
Depends: R (>= 4.0)
SystemRequirements: Python (>= 3.8) with spaCy (>= 3.5) for lemmatization and sentence-transformers (>= 2.2) for embeddings (optional)
URL: https://mshin77.github.io/TextAnalysisR/, https://github.com/mshin77/TextAnalysisR
BugReports: https://github.com/mshin77/TextAnalysisR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-17 17:44:05 UTC; shinm
Author: Mikyung Shin [aut, cre]
Maintainer: Mikyung Shin <shin.mikyung@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-27 14:40:13 UTC

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New package postshock with initial version 0.2.0
Package: postshock
Title: Donor-Adjusted Post-Shock Forecasting
Version: 0.2.0
Description: Implements donor-adjusted methods for forecasting conditional means and variances after structural shocks. Historical donor episodes are weighted using covariates observed before each shock, and their estimated post-shock effects are combined with forecasts from a target-series model. The methods build on Lin and Eck (2021) <doi:10.1016/j.ijforecast.2021.03.010>. The package supports donor balancing weights, structured donor pools, autoregressive integrated moving average models, and generalized autoregressive conditional heteroscedasticity models with external regressors.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: Rsolnp, garchx, forecast, lmtest, xts, zoo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-17 17:38:07 UTC; wangqiyang
Author: Qiyang Wang [aut, cre] , Daniel J. Eck [aut]
Maintainer: Qiyang Wang <wangqiyang497@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-27 14:40:02 UTC

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New package MVLs with initial version 2.1
Package: MVLs
Title: Model Validation Levels
Version: 2.1
Description: Calculates Model Validation Levels from user provided model data, referent data, and scope files as described by Stafford, Provost, & Jones (2025) <doi:10.1080/17477778.2025.2536096>. Data files must be structured according to one of the accepted Excel templates as shown by Jones, Provost, Stafford, & Young (2026) <https://www.afit.edu/docs/MVL%20User%20Guide%20v4.pdf>.
License: MIT + file LICENSE
Imports: dplyr, DT, geometry, htmlwidgets, lhs, magrittr, openxlsx, purrr, RANN, readxl, shiny, shinyWidgets, stats, tibble, tidyselect, markdown, utils
Encoding: UTF-8
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-17 17:13:51 UTC; cweeks
Author: Kyle Provost [aut], Corinne Stafford [aut, cre], Ronald Prescott [ctb], Chloe Young [ctb], Nicholas Jones [ctb]
Maintainer: Corinne Stafford <corinne.stafford.ctr@us.af.mil>
Repository: CRAN
Date/Publication: 2026-07-27 14:40:24 UTC

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New package hashtable with initial version 1.0.0
Package: hashtable
Title: Hash Table and Hash Set
Version: 1.0.0
Date: 2026-7-17
Depends: R (>= 4.0.0)
Imports: methods, Rcpp, fastmatch
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
Description: It provides three implementations of hash tables and hash maps: 1. using 'std::unordered_map' and 'std::unordered_set' C++ libraries, 2. wrapping around the 'fastmatch' package, 3. using R environment.
URL: https://github.com/jokergoo/hashtable, https://jokergoo.github.io/hashtable/
VignetteBuilder: knitr
BugReports: https://github.com/jokergoo/hashtable/issues
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-17 16:59:57 UTC; guz
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <guzuguang@suat-sz.edu.cn>
Repository: CRAN
Date/Publication: 2026-07-27 14:40:08 UTC

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Sun, 26 Jul 2026

New package MAARTS with initial version 1.0.0
Package: MAARTS
Title: Merger and Acquisition Autoregressive Time-Series Models
Version: 1.0.0
Description: Implements comprehensive Merger and Acquisition ('M&A') Autoregressive ('AR') time-series models with full statistical analysis capabilities. The package provides parameter estimation, forecasting with confidence intervals (80%, 90%, 95%, 99%), descriptive statistics, stationarity tests (Augmented Dickey-Fuller ('ADF'), Phillips-Perron, Kwiatkowski-Phillips-Schmidt-Shin ('KPSS'), Dickey-Fuller Generalized Least Squares ('DF-GLS')), autocorrelation analysis (Autocorrelation Function ('ACF'), Partial Autocorrelation Function ('PACF')), model diagnostics (Ljung-Box, Box-Pierce), accuracy measures (Mean Squared Error ('MSE'), Mean Absolute Error ('MAE'), Mean Absolute Scaled Error ('MASE'), Root Mean Squared Error ('RMSE'), Symmetric Mean Absolute Percentage Error ('SMAPE'), F-statistic), residual diagnostics (normality tests, heteroscedasticity tests), model stability analysis, impulse response, information criteria (Akaike Information Criterion ('AIC'), Bayesian Information Criterion [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: forecast, tseries, urca, stats, graphics, grDevices, utils, lmtest, sandwich, nortest, moments, strucchange, ggplot2, gridExtra, MASS, numDeriv
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-17 15:09:00 UTC; 30017827
Author: Shikhar Tyagi [aut, cre] , Mohd Mudassir [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-26 11:00:02 UTC

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New package boostPM with initial version 0.1.0
Package: boostPM
Title: Unsupervised Tree Boosting for Learning Probability Distributions
Version: 0.1.0
Description: Implements the unsupervised tree boosting method for learning probability distributions introduced by Awaya and Ma (2024). Provides model fitting, density evaluation, simulation, and diagnostic methods.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/nawaya040/boostPM-cran
BugReports: https://github.com/nawaya040/boostPM-cran/issues
Imports: graphics, Rcpp (>= 1.0.7), stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr (>= 1.43), rmarkdown (>= 2.20)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-17 11:27:46 UTC; naway
Author: Naoki Awaya [aut, cre]
Maintainer: Naoki Awaya <nawaya@waseda.jp>
Repository: CRAN
Date/Publication: 2026-07-26 10:30:02 UTC

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Fri, 24 Jul 2026

New package SteadyStateBVAR with initial version 0.1.0
Package: SteadyStateBVAR
Title: Bayesian Vector Autoregressions with Steady-State Priors
Version: 0.1.0
Description: Provides estimation of Bayesian vector autoregression (BVAR) models with steady-state priors via 'Stan', along with functions for unconditional and conditional forecasting, as well as impulse response analysis. For details on the steady-state BVAR model see Villani (2009) <doi:10.1002/jae.1065>.
License: GPL (>= 3)
URL: https://github.com/markjwbecker/SteadyStateBVAR, https://markjwbecker.github.io/SteadyStateBVAR/
Depends: R (>= 3.6.0)
Imports: graphics, grDevices, methods, MTS (>= 1.2.1), Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.32.7), rstantools (>= 2.6.0), stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Biarch: true
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
BugReports: https://github.com/markjwbecker/SteadyStateBVAR/issues
NeedsCompilation: yes
Packaged: 2026-07-17 10:10:31 UTC; markj
Author: Mark Becker [aut, cre, cph]
Maintainer: Mark Becker <mark.jw.becker@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:30:10 UTC

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New package SocialFacts with initial version 1.3.0
Package: SocialFacts
Title: Average Attributable Fraction and Other Relevant Social Sciences Indicators
Version: 1.3.0
Description: Compute Average Attributable Fraction (AAF) and produce a GT table with Odds.ratio, Average Marginal Effects and AAF, with confidence interval and p.value. Also compute other metrics such as Yule's Q and Cramer's V. For more details, see Fergusion and al. (2024) <doi:10.1007/s10654-024-01129-1>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: averisk, broom.helpers, dplyr, graphPAF (>= 2.0.1), gt, psych, gtsummary, rcompanion, scales, stats, stringr, weights, questionr, katex, marginaleffects
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/Geminy3/SocialFacts, https://geminy3.github.io/SocialFacts/
BugReports: https://github.com/Geminy3/SocialFacts/issues
NeedsCompilation: no
Packaged: 2026-07-17 10:13:38 UTC; alioscha
Author: Alioscha Massein [aut, cre, cph] , Brice Lefevre [aut]
Maintainer: Alioscha Massein <alioscha.massein@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-07-24 10:30:16 UTC

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New package sillysplines with initial version 1.0.1
Package: sillysplines
Title: Linear Splines to Generate Decision Boundaries
Version: 1.0.1
Description: Create two dimensional datasets with decision boundaries set by linear splines. An HTML widget enables users to draw the splines on a web page and generate a JSON file that can be used to generate datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmlwidgets, jsonlite, withr
Suggests: rlang, shiny, testthat (>= 3.0.0)
URL: https://janithwanni.github.io/sillysplines/, https://github.com/janithwanni/sillysplines
BugReports: https://github.com/janithwanni/sillysplines/issues
NeedsCompilation: no
Packaged: 2026-07-17 04:43:08 UTC; jwan0443
Author: Janith Wanniarachchi [aut, cre, cph]
Maintainer: Janith Wanniarachchi <janithcwanni@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:10:01 UTC

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New package missknn with initial version 1.0.0
Package: missknn
Title: Fast Masked K-Nearest Neighbor Imputation
Version: 1.0.0
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Description: Fast masked KNN imputation for tabular data with support for single and multiple imputation.
URL: https://CRAN.R-project.org/package=missknn
BugReports: https://github.com/ielbadisy/missknn/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, Rcpp, RcppParallel, stats
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
Suggests: bench, ggplot2, knitr, rmarkdown, mimar, missForest, missRanger, VIM, testthat (>= 3.0.0), roxygen2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-17 10:58:27 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-07-24 10:50:02 UTC

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New package livelink with initial version 0.1.0
Package: livelink
Title: Create Shareable Links for 'webR' and 'Shinylive' Environments
Version: 0.1.0
Description: Creates shareable links for 'R' code in 'WebAssembly' (WASM) Read-Eval-Print Loop (REPL) environments like 'webR' <https://webr.r-wasm.org/> and for 'Shiny' applications using 'Shinylive' <https://shinylive.io/>. Supports single scripts, multi-file projects, exercise and solution pairs, and batch processing. Includes encoding, decoding, and previewing of links for both 'R' and 'Python' environments.
License: AGPL (>= 3)
URL: https://r-pkg.thecoatlessprofessor.com/livelink/, https://github.com/coatless-rpkg/livelink
BugReports: https://github.com/coatless-rpkg/livelink/issues
Depends: R (>= 4.1.0)
Imports: base64enc, cli, clipr, jsonlite, lzstring, RcppMsgPack, stats, tools, utils
Suggests: knitr, quarto, testthat (>= 3.0.0), withr
Encoding: UTF-8
SystemRequirements: Quarto command line tools (https://github.com/quarto-dev/quarto-cli).
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-07-17 08:50:52 UTC; ronin
Author: James Joseph Balamuta [aut, cre, cph], reprex authors [cph] and trim_common_leading_ws, adapted in R/process-input.R; see inst/COPYRIGHTS)
Maintainer: James Joseph Balamuta <james.balamuta@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:20:02 UTC

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New package IRTC with initial version 1.1.1
Package: IRTC
Title: Marginal Maximum Likelihood Estimation for Item Response Models
Version: 1.1.1
Date: 2026-07-17
Description: Self-contained marginal maximum likelihood (MML) estimation for unidimensional and multidimensional item response models, including the Rasch / one-parameter logistic, partial credit, rating scale, two-parameter logistic and generalised partial credit models, with latent regression, multiple groups and case weights. A parallelised, dimension-factorised streaming estimation engine supports large between-item (simple-structure) multidimensional models with bounded memory and an opt-in controlled-accuracy quadrature mode that reports a measured approximation error. A usability layer serves non-specialists and automated pipelines: one-stop estimation from common file formats ('Excel', delimited text, 'SPSS', 'Stata', 'SAS') with automatic cleaning and answer-key scoring, pre-estimation data checks, classical item statistics and item fit, plain-language quality ratings, bilingual (English/Chinese) output, spreadsheet exports for item banking and cross-year linking, audience-specific 'Word'/ [...truncated...]
License: GPL (>= 2)
Copyright: See file inst/COPYRIGHTS.
URL: https://github.com/weiandata/IRTC
BugReports: https://github.com/weiandata/IRTC/issues
Depends: R (>= 3.5.0)
Imports: Rcpp, stats, utils, methods, MASS, tools, graphics, grDevices
Suggests: testthat (>= 3.0.0), mvtnorm, sfsmisc, readxl, writexl, haven, openxlsx, officer, jsonlite
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-17 09:53:17 UTC; makunxiang
Author: Kunxiang Ma [aut, cre], WEIAN DATA TECH Co., Ltd. [cph, fnd]
Maintainer: Kunxiang Ma <makunxiang@weiandata.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:30:22 UTC

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New package HighDimenCDM with initial version 0.1.0
Package: HighDimenCDM
Title: Stochastic EM Algorithm for High-Dimensional Cognitive Diagnosis Models
Version: 0.1.0
Author: Yuxuan Mei [aut, cre], Wenchao Ma [aut], Kevin Wang [aut], Gongjun Xu [aut]
Maintainer: Yuxuan Mei <mei00060@umn.edu>
Description: Provides stochastic expectation-maximization (stEM) algorithms for estimating high-dimensional cognitive diagnosis models. The package implements stochastic EM algorithms for cognitive diagnosis models with a large number of attributes. It includes estimation functions and example datasets for model fitting and analysis. The methods are described in Ma, W., Wang, K., and Xu, G. (Accepted). "Parameter estimation of cognitive diagnosis models with stochastic EM algorithm." Behaviometrika.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.5)
Imports: coda, GDINA, Rcpp (>= 0.12.1)
Suggests:
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-17 02:26:55 UTC; meiyuxuan
Repository: CRAN
Date/Publication: 2026-07-24 10:10:05 UTC

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New package bojapi with initial version 0.1.0
Package: bojapi
Title: Access the Bank of Japan Time-Series Data API
Version: 0.1.0
Description: An unofficial, tidy, rate-limited interface to the 'Bank of Japan Time-Series Data Search' API. Search series metadata, retrieve observations by series code or hierarchy, follow pagination automatically, and work with normalized long or wide data frames. The API does not require an API key.
URL: https://github.com/kenjimyzk/bojapi
BugReports: https://github.com/kenjimyzk/bojapi/issues
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.1.0), tibble
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-17 05:21:41 UTC; root
Author: Kenji Miyazaki [aut, cre]
Maintainer: Kenji Miyazaki <kenjimyzk@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:20:08 UTC

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New package tts.api with initial version 0.3.0
Package: tts.api
Title: 'OpenAI'-Compatible Text-to-Speech API Client
Version: 0.3.0
Description: A minimal-dependency R client for 'OpenAI'-compatible text-to-speech APIs (see <https://developers.openai.com/api/reference/resources/audio>). Supports 'OpenAI', 'ElevenLabs', local servers ('Chatterbox', 'LM Studio', 'OpenWebUI', 'AnythingLLM'), and the 'chatterbox' package for in-process synthesis. Provides a unified interface for speech synthesis, voice cloning, and voice design with backend-specific parameters.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/cornball-ai/tts.api
BugReports: https://github.com/cornball-ai/tts.api/issues
Imports: curl, jsonlite, tools, utils
Suggests: chatterbox, tinytest, torch
NeedsCompilation: no
Packaged: 2026-07-16 23:07:35 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-07-24 09:40:02 UTC

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New package semFromKeys with initial version 0.2.2
Package: semFromKeys
Title: Run 'lavaan' Models from Keys Lists
Version: 0.2.2
Description: Specifying 'lavaan' models manually can be time consuming when multiple similar models are required. The 'semFromKeys' package streamlines the process of running 'lavaan' models by generating model code from simple keys lists and running entire collections of models at once. The package was inspired by the process used in the code for Bainbridge, T. F., Ludeke, S. G., & Smillie, L. D. (2022) <doi:10.1037/pspp0000395>. The package also optionally checks that identical models have not been run on the same data, which saves time when code needs to be run again.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: stringr, lavaan, openssl, withr, tools
Suggests: testthat (>= 3.0.0), here, rstudioapi
URL: https://github.com/timbainbridge/semFromKeys
BugReports: https://github.com/timbainbridge/semFromKeys/issues
NeedsCompilation: no
Packaged: 2026-07-16 23:59:55 UTC; tim
Author: Timothy F. Bainbridge [aut, cre, cph]
Maintainer: Timothy F. Bainbridge <tfbainbridge@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 09:40:08 UTC

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New package RAS with initial version 1.0.3
Package: RAS
Title: Regional Association Score for Genome-Wide Association Studies
Version: 1.0.3
Description: Implements the Regional Association Score (RAS) method for genome-wide association studies (GWAS). For each single nucleotide polymorphism (SNP), RAS quantifies the strength of association within its surrounding genomic region, arranges these regional scores along the chromosome into a signal profile, and applies changepoint detection to locate association regions, improving statistical power while controlling the false positive rate. The method is described in Jiang and Zhang (2025) <doi:10.1073/pnas.2419721122>.
License: MIT + file LICENSE
URL: https://github.com/hepingzhangyale/RAS
BugReports: https://github.com/hepingzhangyale/RAS/issues
Encoding: UTF-8
Imports: grDevices, graphics, parallel, segmented, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-07-16 18:12:45 UTC; ianji
Author: Yiran Jiang [aut], Jiahe Jin [aut, cre], Heping Zhang [aut]
Maintainer: Jiahe Jin <jiahe.jin@yale.edu>
Repository: CRAN
Date/Publication: 2026-07-24 09:30:24 UTC

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New package obrasgovr with initial version 0.1.0
Package: obrasgovr
Title: Access the 'ObrasGov' Open Data API
Version: 0.1.0
Description: Provides a modern interface to the Brazilian federal government's 'ObrasGov' open data application programming interface (<https://api-publica.obrasgov.gestao.gov.br>). Retrieves data about public infrastructure projects, physical execution, contracts, commitments, geometries, feasibility studies, and project status histories. Results are returned as tidy tibbles with typed date columns, preserved nested relationships, pagination metadata, and optional multi-page collection.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/obrasgovr, https://strategicprojects.github.io/obrasgovr/, https://api-publica.obrasgov.gestao.gov.br/obras/docs
BugReports: https://github.com/StrategicProjects/obrasgovr/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2 (>= 1.2.2), purrr (>= 1.0.0), rlang (>= 1.1.0), tibble (>= 3.2.0)
Suggests: covr, dplyr, knitr, rmarkdown, testthat (>= 3.2.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-16 19:26:18 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-07-24 09:30:09 UTC

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New package multiflexscan with initial version 0.1.0
Package: multiflexscan
Title: Information Criterion and Scan Statistic Approach for Detecting Multiple Disease Clusters
Version: 0.1.0
Author: Takahiro Otani [aut, cre] , Kunihiko Takahashi [aut]
Maintainer: Takahiro Otani <t.otani@aichi-cc.jp>
Description: Detecting multiple disease clusters using the information criterion and scan statistic approach developed by Takahashi and Shimadzu (2020) <doi:10.1186/s12942-020-00228-y>.
License: GPL-3
URL: https://github.com/tkhrotn/multiflexscan
BugReports: https://github.com/tkhrotn/multiflexscan/issues
Depends: R (>= 4.0.0)
Imports: doSNOW, foreach, igraph, parallel, rflexscan (>= 1.2.0), utils
Suggests: sf, spdep
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-17 01:30:29 UTC; otani
Repository: CRAN
Date/Publication: 2026-07-24 10:00:08 UTC

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New package MetaEEEA with initial version 1.0.0
Package: MetaEEEA
Title: Metaheuristic Algorithms with Explicit Exploration
Description: Solves single-objective optimization problems by using bio-inspired metaheuristic algorithms. The implemented metaheuristics are the Butterfly Optimization Algorithm, the Ladybug Beetle Optimization Algorithm and the Prairie Dog Optimization Algorithm. For all these optimization algorithms, the search of optimal values can be reinforced with the explicit exploration strategy proposed by Salinas-Gutiérrez and Muñoz Zavala (2023) <doi:10.1016/j.asoc.2023.110230>.
Version: 1.0.0
License: GPL-3
Encoding: UTF-8
Imports: EEEA
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Cristina Diaz Esquivel [aut, cph] , Angela Maria Gallegos Martinez [aut, cph] , Agustin Moreno Cruz [aut, cph] , Miguel Angel Moreno Urbina [aut, cph] , Pedro Abraham Montoya Calzada [aut, cph] , Carlos Alb [...truncated...]
Maintainer: Rogelio Salinas Gutierrez <rogelio.salinas@edu.uaa.mx>
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-17 01:14:20 UTC; rogel
Repository: CRAN
Date/Publication: 2026-07-24 10:00:26 UTC

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New package heatmapbehavior with initial version 0.1.0
Package: heatmapbehavior
Title: Spatial and Behavioral Analysis of Heatmaps
Version: 0.1.0
Description: Tools for processing heatmap images, removing backgrounds, calculating automatic arena calibration, and extracting behavioral metrics such as thigmotaxis index, Gini behavioral coefficient, and center of mass.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, imager, tidyr, magrittr, rlang
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-16 21:00:04 UTC; natal
Author: Natallia Maia [aut, cre], Isabel Velasco [aut], Thalita Bezerra [aut]
Maintainer: Natallia Maia <natalliavivian8@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 09:30:15 UTC

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New package forecastdom with initial version 0.1.0
Package: forecastdom
Title: Tools for (Un)Conditional Forecast Dominance
Version: 0.1.0
Description: A unified toolkit for out-of-sample forecast dominance testing. Covers unconditional and conditional equal and superior predictive ability, encompassing, and nested-model comparison. Implements the Diebold-Mariano test with the Harvey, Leybourne, and Newbold (1997) <doi:10.1016/S0169-2070(96)00719-4> small-sample correction; the Clark-West MSFE-adjusted statistic (Clark and West, 2007) <doi:10.1016/j.jeconom.2006.05.023>; the ENC-NEW encompassing test of Clark and McCracken (2001) <doi:10.1016/S0304-4076(01)00071-9>; the Giacomini-White conditional equal predictive ability test (Giacomini and White, 2006) <doi:10.1111/j.1468-0262.2006.00718.x>; Hansen's superior predictive ability test (Hansen, 2005) <doi:10.1198/073500105000000063>; the conditional superior predictive ability test of Li, Liao, and Quaedvlieg (2022) <doi:10.1093/restud/rdab039>; and the uniform and average multi-horizon SPA tests of Quaedvlieg (2021) <doi:10.1080/07350015.2019.162 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LinkingTo: Rcpp
Imports: MASS, Rcpp, stats, ggplot2
Suggests: knitr, R.matlab, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://gabbocg.github.io/forecastdom/, https://github.com/gabbocg/forecastdom
BugReports: https://github.com/gabbocg/forecastdom/issues
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-07-16 21:04:28 UTC; gabbocg
Author: Gabriel Cabrera [aut, cre]
Maintainer: Gabriel Cabrera <gabriel.cabrera.guz@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 09:40:14 UTC

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New package cevcmm with initial version 0.1.3
Package: cevcmm
Title: Communication-Efficient Varying Coefficient Mixed-Effects Models
Version: 0.1.3
Description: Scalable inference for Varying Coefficient Mixed-Effects Models (VCMMs) with large, correlated random effects. Implements sufficient-statistics, one-step communication-efficient surrogate likelihood, and SVD-stabilized (Singular Value Decomposition) estimators with Kronecker and separable covariance structures. Implements the methodology of Jalili and Lin (2025) <doi:10.48550/arXiv.2511.12732>.
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://lidajalili.github.io/cevcmm/, https://github.com/lidajalili/cevcmm
BugReports: https://github.com/lidajalili/cevcmm/issues
Depends: R (>= 4.0.0)
Imports: splines, Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: devtools, microbenchmark, RSpectra, testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2026-07-16 18:10:30 UTC; lidajalili
Author: Lida Jalili [aut, cre], Li-Hsiang Lin [aut]
Maintainer: Lida Jalili <lchalangarjalilideh1@gsu.edu>
Repository: CRAN
Date/Publication: 2026-07-24 09:20:09 UTC

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New package adheaping with initial version 1.0.0
Package: adheaping
Title: Characteristic-Function De-Heaping Density Estimation
Version: 1.0.0
Description: Tuning-free kernel density estimation for heaped and rounded data using a characteristic-function theory of heaping. Rounding to a grid is convolution with a box followed by lattice sampling, so the density is recovered by deconvolving the known box and tapering against a data-driven noise floor. Provides a box-deconvolution de-heaping estimator, a superposition variant, and a single combined estimator selected by a band-capacity gate; blind grid, heaped-fraction, and mixed-grain readers; and a spectral higher-order comb detector. Faithful base-R replicas of the Heitjan-Rubin multiple-imputation and measurement-error deconvolution methods are included for comparison, and the 'Kernelheaping' stochastic expectation-maximization estimator is used when installed.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: stats
Suggests: Kernelheaping, foreign, testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/mitch-thornton/kde-ad-heaping
BugReports: https://github.com/mitch-thornton/kde-ad-heaping/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-16 19:37:08 UTC; root
Author: Mitchell A. Thornton [aut, cre]
Maintainer: Mitchell A. Thornton <mitchat@sbcglobal.net>
Repository: CRAN
Date/Publication: 2026-07-24 09:30:19 UTC

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New package ackwards with initial version 0.1.1
Package: ackwards
Title: Bass-Ackwards Hierarchical Structural Analysis
Version: 0.1.1
Description: Implements Goldberg's (2006) <doi:10.1016/j.jrp.2006.01.001> bass-ackwards method and modern descendants for hierarchical structural analysis. Extracts solutions from 1 to k factors using principal component analysis (PCA), exploratory factor analysis (EFA), or exploratory structural equation modeling (ESEM) engines, then characterizes the hierarchy via between-level factor-score correlations computed via exact linear algebra (Waller, 2007, <doi:10.1016/j.jrp.2006.08.005>) or materialized scores. Includes the Forbes (2023) <doi:10.1037/met0000546> extension for redundancy pruning and all-levels cross-correlations.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, generics, psych, rlang, stats, utils
Suggests: covr, EFAtools, future, future.apply, ggplot2, gt, knitr, lavaan (>= 0.6-13), rmarkdown, testthat (>= 3.0.0)
LazyData: true
VignetteBuilder: knitr
URL: https://jmgirard.github.io/ackwards/, https://github.com/jmgirard/ackwards
BugReports: https://github.com/jmgirard/ackwards/issues
NeedsCompilation: no
Packaged: 2026-07-17 01:28:16 UTC; jmgirard
Author: Jeffrey M. Girard [aut, cre] , Miriam K. Forbes [cph] , CC-BY 4.0)
Maintainer: Jeffrey M. Girard <me@jmgirard.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:00:13 UTC

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Thu, 23 Jul 2026

New package rchime with initial version 0.1.0
Package: rchime
Title: Detect and Remove Chimeras from Amplicon Sequence Analysis Data
Version: 0.1.0
Date: 2026-07-07
Maintainer: Pat Schloss <pschloss@umich.edu>
Description: Detect and remove chimeras from your amplicon sequence analysis using reference-based or de novo approaches. The 'rchime' package implements the 'VSEARCH' algorithms described in Rognes et al. (2016) <doi:10.7717/peerj.2584>. 'VSEARCH' builds on the work of Edgar,R.C. et al. (2011) <doi:10.1093/bioinformatics/btr381>.
URL: https://github.com/mothur/rchime, https://mothur.org/rchime/
BugReports: https://github.com/mothur/rchime/issues
License: GPL (>= 3)
Imports: cli, parallelly, RcppThread, utils
Depends: Rcpp, R (>= 4.5.0), strollur(>= 0.1.3)
Suggests: knitr, rmarkdown, xml2, pak, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppThread, RcppXsimd, cli
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-16 17:00:27 UTC; swestcot
Author: Sarah Westcott [aut] , Pat Schloss [cph, cre] , Torbjorn Rognes [cph], Frederic Mahe [cph], Tomas Flouri [cph], Christopher Quince [cph], Ben Nichols [cph]
Repository: CRAN
Date/Publication: 2026-07-23 14:20:02 UTC

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New package MleCensoR with initial version 0.1.0
Package: MleCensoR
Title: Maximum Likelihood Estimation under Censoring Schemes
Version: 0.1.0
Description: Provides generalized functions to compute Maximum Likelihood Estimation (MLE) for any univariate distribution under various censoring and truncation schemes. Users supply the probability density function (PDF), cumulative distribution function (CDF), survival function, support bounds, and initial parameter values; the package constructs and maximizes the appropriate log-likelihood automatically. Supported schemes include right and left truncation, random, right, left, interval, and middle censoring, block random censoring, balanced joint progressive Type-II (BJPT-II), progressive first failure, joint Type-I, Type-I, Type-II, progressive Type-II, Type-II progressively hybrid, joint Type-II, hybrid, hybrid Type-I, doubly Type-II, Type-I hybrid, and hybrid Type-II censoring. Optimization methods include Newton-Raphson (NR), Broyden-Fletcher-Goldfarb-Shanno (BFGS), the BFGS algorithm implemented in R (BFGSR), Berndt-Hall-Hall-Hausman (BHHH), Simulated Annealing (SANN), Conjugate Gradien [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-16 15:12:18 UTC; 30017827
Author: Shikhar Tyagi [aut, cre] , Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 14:10:09 UTC

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New package locatr with initial version 0.1.0
Package: locatr
Title: Audit-Ready Geocoding and Local Geography for Messy Location Data
Version: 0.1.0
Description: Cleans, geocodes, validates, reviews, and exports messy location address data supplied by the user. The package sits on top of 'tidygeocoder': it calls geocoding services, rejects implausible coordinates with configurable region guards, applies fallback name/address matching, joins points to optional local geography with 'sf', and records an audit trail showing how each coordinate was produced. Outputs are designed for manual review, dashboards, and reusable location crosswalks.
License: MIT + file LICENSE
URL: https://prigasg.github.io/locatr/, https://github.com/PrigasG/locatr
BugReports: https://github.com/PrigasG/locatr/issues
Depends: R (>= 4.1.0)
Imports: datasets, dplyr (>= 1.1.0), magrittr, readr, rlang (>= 1.1.0), sf, stats, stringr, tibble, tidygeocoder, utils
Suggests: arrow, bslib, DT, httr, jsonlite, knitr, leaflet, pkgdown, readxl, rmarkdown, shiny, spelling, testthat (>= 3.1.7), tigris, writexl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-16 16:27:58 UTC; priga
Author: George Arthur [aut, cre, cph]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 14:20:08 UTC

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New package HawaSpatial with initial version 0.1.10
Package: HawaSpatial
Title: Holistic and Areal Weighted Analysis for Global Development
Version: 0.1.10
Author: Abdisalam Hassan Muse [aut, cre]
Maintainer: Abdisalam Hassan Muse <abdisalam.hassan@amoud.edu.so>
Description: Provides a 'shiny'-based platform for sub-national monitoring of global development indicators using large-scale household surveys. The package supports the Demographic and Health Surveys, Multiple Indicator Cluster Surveys, Malaria Indicator Surveys, Integrated Household Budget Surveys, Service Provision Assessment surveys, and Living Standards Measurement Study surveys. It provides workflows for descriptive, diagnostic, predictive, and prescriptive spatial analytics, including a spatial equalizer for survey-shapefile integration, exploratory spatial data analysis, area-level small area estimation, spatial autoregressive and spatial error models, hierarchical multilevel models, spatial inequality metrics, spatial and temporal decomposition, and publication-ready reporting. The implemented methods are described in <doi:10.1111/j.1538-4632.1995.tb00338.x>, <doi:10.1007/s11749-018-0599-x>, and the reference identified by <isbn:9781118735787>. The software has been cited [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: shiny
Suggests: biscale, broom, broom.mixed, bs4Dash, classInt, corrplot, cowplot, dplyr, ggplot2, ggrepel, glmmTMB, gstat, haven, ineq, knitr, lmtest, magrittr, performance, purrr, RColorBrewer, readr, rmarkdown, sae, scales, sf, spatialreg, spdep, stringr, survey, testthat (>= 3.0.0), tidyr, tidyselect, tidyverse, viridis
URL: https://github.com/Abdisalammuse/HawaSpatial
BugReports: https://github.com/Abdisalammuse/HawaSpatial/issues
NeedsCompilation: no
Packaged: 2026-07-16 15:10:56 UTC; Admin
Repository: CRAN
Date/Publication: 2026-07-23 14:10:16 UTC

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New package eigencore with initial version 1.0.0
Package: eigencore
Title: Certified Partial Eigenvalue and Singular Value Computation
Version: 1.0.0
Author: Bradley Buchsbaum [aut, cre, cph]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Description: Computes the top-k singular triplets or eigenpairs of large sparse and structured matrices: the computation behind principal component analysis on big sparse data, spectral embeddings, and low-rank approximation. Every result carries a numerical certificate with residuals, a backward-error bound, orthogonality loss, and a pass/fail flag, and bounds that can only be estimated are reported as such rather than passed. Centered, scaled, and composed operators are solved through native 'C++' kernels without forming dense matrices. Drop-in replacements for the 'RSpectra' interface are included.
URL: https://bbuchsbaum.github.io/eigencore/, https://github.com/bbuchsbaum/eigencore
BugReports: https://github.com/bbuchsbaum/eigencore/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: Matrix, methods
Suggests: bench, knitr, rmarkdown, RSpectra, irlba, rsvd, testthat (>= 3.0.0)
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-07-16 14:55:02 UTC; bbuchsbaum
Repository: CRAN
Date/Publication: 2026-07-23 14:10:02 UTC

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New package statsapps with initial version 0.1.0
Package: statsapps
Title: Interactive 'Shiny' Apps for Building Statistical Intuition
Version: 0.1.0
Description: Provides interactive 'Shiny' applications for building intuition in statistics and data science. The apps run locally and use visualization, simulation, and repeated sampling to illustrate topics such as probability distributions, permutation tests, analysis of variance, linear regression, and sums of squares.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), purrr (>= 1.0.0), shiny (>= 1.7.0), tibble (>= 3.0.0)
Depends: R (>= 4.1.0)
URL: https://github.com/vbaliga/statsapps, https://vbaliga.github.io/statsapps/
BugReports: https://github.com/vbaliga/statsapps/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-16 02:11:38 UTC; vikram
Author: Vikram B. Baliga [aut, cre, cph]
Maintainer: Vikram B. Baliga <vikram.baliga@ubc.ca>
Repository: CRAN
Date/Publication: 2026-07-23 13:30:02 UTC

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New package qviewparsR with initial version 1.0.0
Package: qviewparsR
Title: Read .Q-View Multiplex ELISA Project Files
Version: 1.0.0
Description: Pure-R parser for the binary '.Q-View' project file format used in chemiluminescent multiplex ELISA plate imaging and quantification. Reads the embedded H2 database container and CSV report, and returns project metadata, the analyte panel with units and detection limits, sample well-group assignments, per-well pixel-intensity replicates, summary statistics, optional back-calculated concentrations, and a plate layout, all as tidy tibbles. No Java runtime or H2 database driver is required.
License: MIT + file LICENSE
URL: https://github.com/CTTIR/qviewparsR, https://cttir.github.io/qviewparsR/
BugReports: https://github.com/CTTIR/qviewparsR/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, lifecycle, openxlsx2, readr, rlang, stats, tibble, tidyr, tools, utils
Suggests: bslib, chromote, DT, ggplot2, knitr, patchwork, rmarkdown, shiny, shinytest2, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-16 11:49:44 UTC; rh
Author: R. Heller [aut, cre, cph] , M. Mannes [aut, cph]
Maintainer: R. Heller <raban.heller@uni-ulm.de>
Repository: CRAN
Date/Publication: 2026-07-23 13:50:08 UTC

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New package margEVT with initial version 0.1.0
Package: margEVT
Title: Regularized Point Processes and Stochastic Marginalization for Extremes
Version: 0.1.0
Description: Implements a non-stationary extreme value analysis framework by coupling a covariate-driven Non-Homogeneous Poisson Process (NHPP) with Elastic-Net regularization and exact analytical gradients. Provides methodologies for estimating conditional return levels and unconditional (marginalized) return levels via parametric stochastic integration over Vector Autoregressive VAR(p) covariate trajectories, or non-parametric block bootstrapping. Methodologies are based on Villa (2026) <https://sabi.ufrgs.br/> "A Novel Regularized Point Process and Stochastic Marginalization Framework for Return Level Inference under Covariate-Driven Extremes" (Master's dissertation, Universidade Federal do Rio Grande do Sul).
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, utils, vars
Suggests: dplyr, tidyr, extRemes, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-16 14:01:26 UTC; rodri
Author: Rodrigo Fonseca Villa [aut, cre] , Flavio Ziegelmann [ths]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 13:50:14 UTC

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New package HLCtools with initial version 0.1.0
Package: HLCtools
Title: Calculate Herd Lying Concordance Metrics
Version: 0.1.0
Description: Calculates Herd Lying Concordance (HLC) metrics from individual animal lying-behaviour data. HLC is a continuous framework for quantifying group-level behavioural cohesion from between-animal dispersion within observation intervals. The package implements standard deviation, mean absolute deviation, interquartile range, and entropy formulations, lying-weighted extensions, threshold-based synchrony comparisons, temporal summaries, and descriptive method-ranking tools. The HLC formulations are introduced in this package; related approaches to cattle behavioural synchrony include Raussi et al. (2011) <doi:10.1017/S1751731110001928>, Kok et al. (2023) <doi:10.1016/j.applanim.2023.105906>, and the activity metric framework of van Dixhoorn et al. (2024) <doi:10.24072/pcjournal.489>.
License: MIT + file LICENSE
URL: https://github.com/guilhermefranchi/HLCtools
BugReports: https://github.com/guilhermefranchi/HLCtools/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-15 18:46:38 UTC; au588902
Author: Guilherme Amorim Franchi [aut, cre, cph]
Maintainer: Guilherme Amorim Franchi <gaf@anivet.au.dk>
Repository: CRAN
Date/Publication: 2026-07-23 13:10:15 UTC

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New package ggtintshade with initial version 0.1.2
Package: ggtintshade
Title: Tinting and Shading Aesthetics for 'ggplot2'
Version: 0.1.2
Description: Adds a 'tintshade' aesthetic to 'ggplot2' that varies the lightness of a mapped 'colour' or 'fill' within each hue group, keeping the plotted layer and its legend in sync. Supports both nested designs (each item belongs to one hue) and crossed designs (each lightness level appears across hues).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1), ggplot2 (>= 4.0.0)
Imports: cli, colorspace, grDevices, scales, stats
Suggests: gtable, knitr, rmarkdown, patchwork, testthat (>= 3.0.0), vdiffr
URL: https://github.com/wkumler/ggtintshade
BugReports: https://github.com/wkumler/ggtintshade/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-15 22:52:11 UTC; Will
Author: William Kumler [aut, cre]
Maintainer: William Kumler <wkumler@uw.edu>
Repository: CRAN
Date/Publication: 2026-07-23 13:20:02 UTC

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New package geozarr with initial version 0.1.0
Package: geozarr
Title: GeoZarr Conventions for Geospatial Data in Zarr Stores
Version: 0.1.0
Description: Large-scale gridded data stores are increasingly using the Zarr format. GeoZarr is defined in terms of a number of community conventions built on top of the Zarr specification. These conventions specify how Zarr metadata is to be interpreted to attach semantic meaning to the data in the Zarr array providing the metadata. This package implements a number of community conventions on top of the 'zarr' package, enabling the R community to use geospatial data stored in Zarr.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: CFtime (>= 1.7.3), R6
Depends: R (>= 4.2), zarr (>= 0.4.2)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/R-CF/geozarr
BugReports: https://github.com/R-CF/geozarr/issues
NeedsCompilation: no
Packaged: 2026-07-16 12:13:50 UTC; patrickvanlaake
Author: Patrick Van Laake [aut, cre]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>
Repository: CRAN
Date/Publication: 2026-07-23 13:50:19 UTC

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New package fairlieR with initial version 0.1.1
Package: fairlieR
Title: Fairlie Decomposition for Nonlinear Models (Logit Models)
Version: 0.1.1
Description: Performs the Fairlie decomposition for nonlinear models (logit models). This function breaks down the difference in average outcomes between two groups into the part explained by group differences in observable characteristics and the unexplained part (Fairlie 1999 <doi:10.1086/209914>; Fairlie 2005 <doi:10.3233/JEM-2005-0259>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Suggests: ggplot2
URL: https://github.com/CathyBu9/fairlieR
BugReports: https://github.com/CathyBu9/fairlieR/issues
NeedsCompilation: no
Packaged: 2026-07-15 15:36:40 UTC; yan
Author: Xinyan Bu [aut, cre]
Maintainer: Xinyan Bu <xinyan.bu@outlook.com>
Repository: CRAN
Date/Publication: 2026-07-23 13:10:02 UTC

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New package Dyn4cast with initial version 11.11.26
Package: Dyn4cast
Title: Dynamic Modeling and Machine Learning Environment
Version: 11.11.26
Description: Estimates, predict and forecast dynamic models as well as Machine Learning metrics which assists in model selection for further analysis. The package also have capabilities to provide tools and metrics that are useful in machine learning and modeling. For example, there is quick summary, percent sign, Mallow's Cp tools and others. The ecosystem of this package is analysis of economic data for national development. The package is so far stable and has high reliability and efficiency as well as time-saving. The package is a variety but the following references are important guide to the major themes in the package (Hyndman & Athanasopoulos (2014 ISBN 978-0-9875071-0-5), Alkire & Santos (2014, doi.org/10.1016/j.worlddev.2014.01.026)).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Imports: stats, splines, Metrics, tidyr, ggplot2, generics, magrittr, formattable, utils, zoo, ModelMetrics, dplyr, modelsummary, corrplot, marginaleffects, tibble, purrr, lifecycle, tidyselect
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0), tidyverse, rmarkdown, covr, caret, kableExtra, knitr, spelling, psych, readr, MetBrewer, data.table, ggtext, lubridate, forecast, MASS, mlogit, nnet, betareg, mvProbit, miscTools
URL: https://github.com/JobNmadu/Dyn4cast, https://jobnmadu.github.io/Dyn4cast/, https://jobnmadu.r-universe.dev/Dyn4cast
BugReports: https://github.com/JobNmadu/Dyn4cast/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-16 14:49:28 UTC; jobnm
Author: Job Nmadu [aut, cre]
Maintainer: Job Nmadu <job.nmadu@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 14:00:08 UTC

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New package DemogAnr with initial version 0.1.0
Package: DemogAnr
Title: Demographic Analysis
Version: 0.1.0
Description: Tool for demographic modeling and analysis, combining stochastic simulation-based projections with classic demographic methods. Provides utilities for disaggregating population data using Karup-King interpolation, fitting Brass relational logit models, calculating fertility and mortality metrics, building life tables, and performing hierarchical subnational population projections. Relational life table estimation and interpolation methods are described in Brass (1975) "Methods for Estimating Fertility and Mortality from Limited and Defective Data", Preston et al. (2001, ISBN:978-0631226161) "Demography: Measuring and Modeling Population Processes", Siegel and Swanson (2004, ISBN:978-0126419559) "The Methods and Materials of Demography", and Raftery et al. (2012) "Bayesian probabilistic population projections for all countries" <doi:10.1073/pnas.1211452109>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: dplyr, stats, tidyr
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-15 23:14:12 UTC; manue
Author: Edward Owusu Manu [aut, cre]
Maintainer: Edward Owusu Manu <edward.manu@statsghana.gov.gh>
Repository: CRAN
Date/Publication: 2026-07-23 13:20:07 UTC

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New package controller with initial version 0.1.0
Package: controller
Title: Controlled Vocabularies
Version: 0.1.0
Description: Work with controlled vocabularies; a predefined set of terms intended to be used in in a specific context. This package introduces the 'control' verb, which recodes values in a vector using a lookup table of preferred and variant terms (a 'thesaurus'). It also includes functions for reading controlled vocabularies from standard formats.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: curl, dplyr, fs, rlang, utils
Depends: R (>= 4.1.0)
URL: https://controller.joeroe.io, https://github.com/joeroe/controller
BugReports: https://github.com/joeroe/controller/issues
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-16 03:55:18 UTC; joeroe
Author: Joe Roe [aut, cre, cph]
Maintainer: Joe Roe <joe@joeroe.io>
Repository: CRAN
Date/Publication: 2026-07-23 13:30:07 UTC

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New package CMCMC with initial version 0.0.1
Package: CMCMC
Title: Contemporaneous Markov Chain Monte Carlo
Version: 0.0.1
Description: Implements contemporaneous Markov chain Monte Carlo (CMCMC) and interchain adaptive Markov chain Monte Carlo (INCA) samplers of Craiu, Rosenthal and Yang (2009) <doi:10.1198/jasa.2009.tm08393> for targets known up to a normalising constant. The samplers run multiple Metropolis chains in parallel and update proposal covariance estimates using contemporaneous particle groups. Built-in target kernels include multivariate normal, logistic regression, Poisson, Gaussian, Gamma, and hierarchical models, with support for user-provided target kernels. The formula interface glm_cmcmc() fits supported generalized linear models using the built-in kernels. 'CUDA' is used when available, and an 'OpenMP'-enabled CPU backend is available on systems without a 'CUDA' compiler.
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
SystemRequirements: Optional CUDA toolkit and NVIDIA GPU for the CUDA backend; OpenMP for parallel CPU execution.
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-15 15:15:09 UTC; ahmad
Author: Ahmad ALQabandi [cre, aut, cph] , Louis Aslett [aut, ths, cph] , Murray Pollock [aut], Gareth Roberts [aut]
Maintainer: Ahmad ALQabandi <ahmad.alqabandi@durham.ac.uk>
Repository: CRAN
Date/Publication: 2026-07-23 13:10:21 UTC

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New package burakDiagrams with initial version 0.1.0
Package: burakDiagrams
Title: Interactive Burak Diagrams for Model Performance Evaluation
Version: 0.1.0
Description: Creates interactive 3D Burak Diagrams for evaluating climatological and hydrological simulations. The BD-Clim framework evaluates climatological simulations by representing correlation, standard deviation, centered root mean-square difference, bias, and root mean-square difference. The BD-HydNSE framework evaluates hydrological simulations using correlation, standard deviation, centered root mean-square difference, percent bias, and Nash-Sutcliffe efficiency. The BD-HydKGE framework evaluates hydrological simulations using correlation, standard deviation, centered root mean-square difference, percent bias, and Kling-Gupta efficiency. The frameworks extend the Taylor Diagram ( Taylor (2001) <doi:10.1029/2000JD900719> ) by introducing an orthogonal axis for bias and representing selected performance metrics as surfaces in the resulting 3D space. Nash-Sutcliffe efficiency was introduced by Nash and Sutcliffe (1970) <doi:10.1016/0022-1694(70)90255-6>, and Kling-Gupta efficiency [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmlwidgets, magrittr, plotly, scales, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-16 12:03:52 UTC; omerburakakgun
Author: Omer Burak Akgun [aut, cre]
Maintainer: Omer Burak Akgun <oburakakgun@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 13:50:26 UTC

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New package sebkc with initial version 1.0-6
Package: sebkc
Title: Surface Energy Balance and Crop Coefficient Evapotranspiration Estimation
Version: 1.0-6
Date: 2026-07-15
Description: Computes and integrates surface energy balance components of evapotranspiration (ET), sensible heat (H), soil heat flux (G) and net radiation (Rn) into the Food and Agriculture Organization (FAO) Irrigation and Drainage Paper 56 (FAO-56) water balance model. The package can perform single crop coefficient (Kc), dual Kc and the integration of thermal-based evaporative fractions in a water balance model. The surface energy balance models include Two-Source Surface Energy Balance (TSEB) models, namely the Priestley-Taylor TSEB (TSEB-PT), the Penman-Monteith TSEB (TSEB-PM) and TSEB-Parallel, as well as One-Source Surface Energy Balance (OSEB) models, namely the Surface Energy Balance Algorithm for Land (SEBAL), Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC), Surface Energy Balance Index (SEBI), Simplified Surface Energy Balance (SSEB) and Surface Energy Balance System (SEBS). Methods are described in Allen et al. (2007) <doi:10.1061/(ASCE)0733-9437( [...truncated...]
Depends: R (>= 3.5.0), raster (>= 2.5), sp (>= 1.2)
Imports: gstat, stats, graphics, grDevices, utils
License: GPL-2
Encoding: UTF-8
URL: https://github.com/gowusu/sebkc
BugReports: https://github.com/gowusu/sebkc/issues
NeedsCompilation: no
Packaged: 2026-07-15 11:34:25 UTC; PC
Author: George Owusu [aut, cre]
Maintainer: George Owusu <owusugeorge@ug.edu.gh>
Repository: CRAN
Date/Publication: 2026-07-23 12:40:08 UTC

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New package scShardSplitRef with initial version 0.1.0
Package: scShardSplitRef
Title: Build Custom Reference Genome for Single-Cell Multiome ATAC and Gene Expression Data of Large-Genome Species
Version: 0.1.0
Description: Provides utilities that enable researchers to build custom references for the Multiome ATAC Gene Expression sequencing data for large-genome species without manual intervention.
License: GPL (>= 3)
Depends: R (>= 4.3.0)
Imports: cli, rlang, stringi, utils, withr
Suggests: knitr, rmarkdown, roxyglobals, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-15 03:01:12 UTC; ikrstudio
Author: Irina Kuznetsova [aut, cre] , Luke Pembleton [aut] , Luca Curci [aut] , Adam H. Sparks [aut] , Curtin University [fnd, cph] , Grains Research and Development Corporation [fnd, cph] , ROR: <https://ror.org/02xwr1996>)
Maintainer: Irina Kuznetsova <irina.kuznetsova@curtin.edu.au>
Repository: CRAN
Date/Publication: 2026-07-23 12:30:02 UTC

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New package orchaRd with initial version 2.2.1
Package: orchaRd
Title: Visualizing Meta-Analyses with Orchard Plots and Prediction Intervals
Version: 2.2.1
Description: Generates prediction intervals and orchard plots for meta-analytic and meta-regression models fitted with the 'metafor' package. Orchard plots augment classic forest plots by displaying individual effect sizes together with group means and their confidence and prediction intervals, providing an enhanced visualization of meta-analytic data for ecology, evolution, and beyond. Methods are described in Nakagawa et al. (2023) <doi:10.1111/2041-210X.14152>.
Depends: R (>= 4.2)
URL: https://daniel1noble.github.io/orchaRd/
BugReports: https://github.com/daniel1noble/orchaRd/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ape, dplyr, emmeans, ggbeeswarm, ggplot2, latex2exp, magrittr, MASS, metafor, progress, rWishart, stats, tester, utils
Suggests: broom, glmmTMB, gt, knitr, lme4, metadat, moments, patchwork, PearsonDS, purrr, R.rsp, rmarkdown, testthat, tibble
NeedsCompilation: no
Packaged: 2026-07-15 06:02:42 UTC; noble
Author: Daniel Noble [aut, cre], Shinichi Nakagawa [aut]
Maintainer: Daniel Noble <daniel.noble@anu.edu.au>
Repository: CRAN
Date/Publication: 2026-07-23 12:40:15 UTC

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New package catmodeling with initial version 0.0.1
Package: catmodeling
Title: Catastrophe Model Simulation and Adjustment
Version: 0.0.1
Maintainer: Stephen Jewson <stephen.jewson@gmail.com>
Description: Manipulation of catastrophe model outputs, including tasks such as simulating year loss tables (YLTs) from event loss tables (ELTs), adjusting the frequencies of events in YLTs to create new YLTs, applying catastrophe exceedance of loss contracts (catXL), applying hours clauses, and calculating diagnostics from ELTs and YLTs, such as average annual loss and exceedance probability curves. Frequency adjustment routines are based on the paper "A new simulation algorithm for more precise estimates of change in catastrophe risk models, with application to hurricanes and climate change", Jewson, S. (2023); <doi:10.1007/s00477-023-02409-0>. Uses the compiled language 'Rust' in places and so requires a Rust compiler to be installed, or a binary installation.
Imports: stats, dplyr, utils, pracma, geosphere
Depends: R (>= 4.2)
License: AGPL-3
BugReports: https://github.com/stephenjewson/catmodeling/issues
URL: https://www.catmodeling.info
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65.0, xz
NeedsCompilation: yes
Packaged: 2026-07-11 11:45:59 UTC; steph
Author: Stephen Jewson [aut, cre]
Repository: CRAN
Date/Publication: 2026-07-23 12:00:02 UTC

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Wed, 22 Jul 2026

New package synadam with initial version 0.3.3
Package: synadam
Title: Generate Synthetic ADaM Datasets
Version: 0.3.3
Description: Generates synthetic ADaM (Analysis Data Model) datasets from real clinical trial data. Preserves the structure of real datasets (column names, value ranges, relationships between treatment and flag columns) while removing identifiable patient information. Supports subject-level (ADSL), longitudinal (BDS), occurrence (OCCDS), and time-to-event (TTE) dataset types.
License: MIT + file LICENSE
URL: https://github.com/Novartis/synadam
BugReports: https://github.com/Novartis/synadam/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: checkmate, dplyr, glue, haven, rlang, stats, tidyr, tools, utils, yaml
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-10 13:17:29 UTC; ZHANGD1Q
Author: David Zhang [aut, cre], Thibaud Coroller [ctb], Peter Krusche [ctb], Chengyang Gao [ctb], Novartis AG [cph]
Maintainer: David Zhang <david-1.zhang@novartis.com>
Repository: CRAN
Date/Publication: 2026-07-22 08:30:02 UTC

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New package rpanelrev with initial version 1.0.0
Package: rpanelrev
Title: Reverse the Order of Values of Time Series and Multidimensional Panels
Version: 1.0.0
Description: Reverses the order of values of selected variables in time series and multidimensional panels, either by replacing the original values or by creating new variables with prefixed names. Optionally evaluates user-supplied pre-estimation, estimation, and post-estimation functions using the transformed data.
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/econcz/rpanelrev
BugReports: https://github.com/econcz/rpanelrev/issues
NeedsCompilation: no
Packaged: 2026-07-14 23:07:07 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2026-07-22 08:40:02 UTC

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New package pdokr with initial version 0.1.0
Package: pdokr
Title: Access Open Geodata from the Dutch 'PDOK' Platform
Version: 0.1.0
Description: Tools to discover, download, and spatially filter open geographic data from 'PDOK' (Publieke Dienstverlening Op de Kaart), the national geodata platform of the Netherlands. Datasets and their layers are searched and loaded as vector simple feature ('sf') objects through 'OGC' API Features endpoints, with automatic pagination and explicit coordinate reference system handling. Loaded layers can be filtered by any polygon area, and addresses or place names can be geocoded through the 'PDOK' location server. The focus is on vector feature data; raster, tile, and coverage services are out of scope. See <https://www.pdok.nl/> for more information about the platform and its services.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, httr2, rlang, sf, tibble
Suggests: httptest2, knitr, rmarkdown, testthat (>= 3.0.0), withr
URL: https://github.com/coeneisma/pdokr, https://coeneisma.github.io/pdokr/
BugReports: https://github.com/coeneisma/pdokr/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-14 13:58:20 UTC; coeneisma
Author: Coen Eisma [aut, cre, cph]
Maintainer: Coen Eisma <coeneisma@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 08:30:09 UTC

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New package NeutroCrdRcbdAnalysis with initial version 0.0.1
Package: NeutroCrdRcbdAnalysis
Title: Neutrosophic Analysis of Completely Randomized Designs and Randomized Complete Block Designs
Version: 0.0.1
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>
Description: Provides neutrosophic analysis of variance (NANOVA) and analysis of covariance (NANCOVA) for Completely Randomized Designs (CRD) and Randomized Complete Block Designs (RCBD) using interval-valued observations. Computes interval sums of squares, mean squares, F-statistics, significance tests, and interval-based least significant difference (LSD) comparisons. When lower and upper observations are identical (crisp data), the methods reduce to the corresponding classical ANOVA and ANCOVA.
License: GPL-3
Encoding: UTF-8
Imports: MASS, stats
NeedsCompilation: no
Packaged: 2026-07-14 11:08:38 UTC; admin
Author: Neethu R.S. [aut, ctb], Boyina Devi Priyanka [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Vinaykumar L.N. [aut, cre]
Repository: CRAN
Date/Publication: 2026-07-22 08:30:26 UTC

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New package ggmeta with initial version 0.1.0
Package: ggmeta
Title: Publication-Quality Forest and Funnel Plots with 'ggplot2'
Version: 0.1.0
Description: A 'ggplot2' extension that creates publication-quality forest and funnel plots from 'meta' package objects or tidy data frames. Provides custom 'ggproto' geometries for study-level confidence intervals with weight-proportional squares, summary effect diamonds, prediction intervals, null-effect reference lines, and funnel-plot contours. Supports subgroup analysis, back-transformation of summary measures, on-the-fly effect pooling, effect and weight table columns, and journal-specific layout presets (JAMA, BMJ, RevMan5).
License: GPL (>= 3)
URL: https://github.com/drhrf/ggmeta, https://drhrf.github.io/ggmeta/
BugReports: https://github.com/drhrf/ggmeta/issues
Depends: R (>= 4.0)
Imports: cli (>= 3.6.0), ggplot2 (>= 3.4.0), grid, rlang (>= 1.0.0), scales (>= 1.2.0)
Suggests: covr (>= 3.6.0), knitr (>= 1.40), meta (>= 4.0), patchwork (>= 1.1.0), pkgdown (>= 2.0.0), rmarkdown (>= 2.20), testthat (>= 3.0.0), vdiffr (>= 1.0.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-14 02:21:13 UTC; freitashr
Author: Hercules R. Freitas [aut, cre, cph]
Maintainer: Hercules R. Freitas <hercules.freitas@uerj.br>
Repository: CRAN
Date/Publication: 2026-07-22 08:30:14 UTC

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New package finlex with initial version 0.1.0
Package: finlex
Title: Access Open Data from the Finnish 'Finlex' Legislative Database
Version: 0.1.0
Description: Provides functions to retrieve and structure Finnish legislative data made available through the 'Finlex' Open Data API (<https://www.finlex.fi/en/open-data>). Functions cover retrieval of statute catalogues, statute titles, structured statute metadata, and cross-references between amending and amended statutes, returned as tidy tibbles for further analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/KristianVepsalainen/finlex
BugReports: https://github.com/KristianVepsalainen/finlex/issues
Depends: R (>= 4.1.0)
Imports: dplyr, httr2, tibble, xml2
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-14 08:58:14 UTC; kristianvepsalainen
Author: Kristian Vepsaelaeinen [aut, cre]
Maintainer: Kristian Vepsaelaeinen <kristian.vepsalainen@proton.me>
Repository: CRAN
Date/Publication: 2026-07-22 08:10:09 UTC

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New package FES with initial version 1.0
Package: FES
Title: Fisher Exact Scanning for Dependency
Version: 1.0
Description: Implements Fisher exact scanning (FES), a multiscale test of dependence for continuous or discrete bivariate data. The method scans nested binary partitions using Fisher's exact tests and combines evidence across windows and resolutions with Sidak, Bonferroni, and meta-analysis corrections. The methodology is described in Ma and Mao (2019) <doi:10.1080/01621459.2017.1397522>.
License: GPL (>= 3)
URL: https://github.com/mastatlab/fes
BugReports: https://github.com/mastatlab/fes/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: graphics, grDevices, methods, stats
Suggests: BayesFactor, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-14 12:17:22 UTC; li.ma
Author: Li Ma [aut, cre, cph]
Maintainer: Li Ma <mastatlab@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 08:30:31 UTC

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New package cdtmbnma with initial version 0.2.1
Package: cdtmbnma
Title: Component, Dose, and Time Network Meta-Analysis with Dose-Dependent Interactions
Version: 0.2.1
Date: 2026-07-10
Description: Bayesian component model-based network meta-analysis for treatment combinations with explicit component dose-response and dose-dependent interaction surfaces. The main interface fits single-timepoint arm-level networks with continuous or binary outcomes, any number of components, additive, bilinear, or saturating pairwise interactions, study-level random effects, and prediction at unobserved dose combinations. A stage-one longitudinal interface fits a two-component exponential time-course model with a bilinear interaction on the asymptote. Estimation uses 'Stan' through 'cmdstanr' or 'rstan'. Methods are described in Welton et al. (2009) <doi:10.1093/aje/kwp014>, Mawdsley et al. (2016) <doi:10.1002/psp4.12091>, Wicha et al. (2017) <doi:10.1038/s41467-017-01929-y>, and Pedder et al. (2019) <doi:10.1002/jrsm.1351>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: posterior, stats, graphics, grDevices, utils
Suggests: cmdstanr, rstan, testthat (>= 3.0.0), knitr, rmarkdown, loo
Additional_repositories: https://stan-dev.r-universe.dev
SystemRequirements: A working Stan backend through cmdstanr/CmdStan or rstan.
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-10 12:39:43 UTC; tyler-pitre
Author: Tyler Pitre [aut, cre]
Maintainer: Tyler Pitre <pitretmed@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 08:30:21 UTC

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New package tooth with initial version 0.5.0
Package: tooth
Title: Dental Public Health Indices and Odontogram Visualizations
Version: 0.5.0
Description: Computes dental caries indices (DMFT, DMFS, dmft, dmfs) from surface-level clinical examination data and produces odontogram heatmap visualizations of per-tooth-surface outcomes. Supports primary and permanent dentition with configurable teeth per quadrant (5 to 8), separate root and coronal caries tallying, long and wide input formats, stratified output, and FDI/Universal/quadrant tooth numbering conversion.
License: MIT + file LICENSE
URL: https://github.com/ddmsel/tooth
BugReports: https://github.com/ddmsel/tooth/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.4.0), patchwork, purrr, rlang, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-13 19:59:42 UTC; root
Author: David Selvaraj [aut, cre, cph] , Suchitra Nelson [aut]
Maintainer: David Selvaraj <dms256@case.edu>
Repository: CRAN
Date/Publication: 2026-07-22 07:10:02 UTC

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New package rvmprior with initial version 0.1.0
Package: rvmprior
Title: Relevance Vector Machine with Flexible Spike-and-Slab Priors
Version: 0.1.0
Description: Fits Relevance Vector Machine (RVM) models for Normal, Epanechnikov, and Bickel prior distributions, and Gaussian or Mexican Hat kernels.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, kernlab, MASS
NeedsCompilation: no
Packaged: 2026-07-06 21:05:05 UTC; anaca
Author: Alex Sousa [aut, cre], Rafael Oliveira [aut]
Maintainer: Alex Sousa <asousa@unicamp.br>
Repository: CRAN
Date/Publication: 2026-07-22 07:30:02 UTC

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New package rembg with initial version 0.1.1
Package: rembg
Title: Remove Image Backgrounds with Pre-Trained Segmentation Models
Version: 0.1.1
Date: 2026-07-13
Description: Remove the background from an image using pre-trained deep learning segmentation models ('U-2-Net', 'ISNet', 'BiRefNet' and others) run through the 'ONNX' Runtime via the 'onnxr' package. Given an image, a model predicts a foreground alpha matte which is composited into a cutout with a transparent (or solid-colour) background; optional closed-form alpha matting (ported from 'pymatting') refines soft edges. An R port of the Python 'rembg' package (<https://github.com/danielgatis/rembg>). Models are downloaded on first use and cached in a per-user cache directory.
License: MIT + file LICENSE
URL: https://github.com/cornball-ai/rembg
BugReports: https://github.com/cornball-ai/rembg/issues
Imports: onnxr, jpeg, png, Matrix, tools, utils
Suggests: tinytest, openssl
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-14 01:39:13 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], Daniel Gatis [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-07-22 07:30:07 UTC

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New package ragR with initial version 0.1.0
Package: ragR
Title: Retrieval-Augmented Generation and RAG Evaluation Tools
Version: 0.1.0
Description: Provides tools for document ingestion, embedding storage, retrieval-augmented generation (RAG), and evaluation of question-answering systems. The package includes an R-native vector store, wrappers for OpenAI embedding and chat-completion application programming interfaces (APIs), question-answering logging utilities, and large language model (LLM)-based evaluation metrics for context precision, context recall, answer relevance, and faithfulness. These metrics are based on the Retrieval-Augmented Generation Assessment (RAGAS) framework. The retrieval-augmented generation methodology is described by Lewis et al. (2020) "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" <doi:10.48550/arXiv.2005.11401>. The evaluation metrics are based on Es et al. (2024) "RAGAS: Automated Evaluation of Retrieval Augmented Generation" <doi:10.18653/v1/2024.eacl-demo.16>.
License: GPL-3
URL: https://github.com/aimalrehman92/ragR
BugReports: https://github.com/aimalrehman92/ragR/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr, httr2, jsonlite, pdftools, readtext, tibble
Suggests: plumber, stringr, yaml, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-14 05:51:17 UTC; aimalrehman
Author: Muhammad Aimal Rehman [aut, cre], Zhili Lu [aut], Chi-Kuang Yeh [aut]
Maintainer: Muhammad Aimal Rehman <rehman.aimal@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 07:40:02 UTC

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New package PTT with initial version 1.0
Package: PTT
Title: Pólya Tree Type Models
Version: 1.0
Description: Fits Bayesian nonparametric models based on Pólya tree processes, including adaptive Pólya trees, Markov adaptive Pólya trees, optional Pólya trees, and their conditional-density counterparts. Methods are described in Ma (2017) <doi:10.1214/16-BA1021>, Ma (2017) <doi:10.1214/17-EJS1254>, and Wong and Ma (2010) <doi:10.1214/09-AOS755>.
License: GPL (>= 3)
URL: https://github.com/MaStatLab/PTT
BugReports: https://github.com/MaStatLab/PTT/issues
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-07-14 03:49:20 UTC; li.ma
Author: Li Ma [aut, cre]
Maintainer: Li Ma <mastatlab@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 08:00:08 UTC

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New package mlr3forecast with initial version 0.1.0
Package: mlr3forecast
Title: Extending 'mlr3' to Time Series Forecasting
Version: 0.1.0
Description: Extends the 'mlr3' package and ecosystem to time series forecasting. Provides forecasting tasks, learners, resampling strategies, performance measures, and 'mlr3pipelines' operators for time-series feature engineering. Machine learning regression learners can be turned into forecasters through recursive and direct multi-step strategies.
License: LGPL-3
URL: https://mlr3forecast.mlr-org.com, https://github.com/mlr-org/mlr3forecast
BugReports: https://github.com/mlr-org/mlr3forecast/issues
Depends: mlr3 (>= 1.7.0), R (>= 3.6.0)
Imports: backports (>= 1.5.0), checkmate (>= 2.0.0), cli, data.table (>= 1.18.0), generics (>= 0.1.2), lgr, mlr3misc (>= 0.22.0), mlr3pipelines (>= 0.11.0), paradox (>= 1.0.1), R6 (>= 2.4.1), stats, utils
Suggests: distributional, fabletools, feasts, forecast (>= 9.0.2), ggplot2 (>= 3.4.0), greybox, mlr3tuning, nnfor (>= 0.9.9), prophet (>= 1.1.7), Rcatch22, Rlgt (>= 0.2.3), rpart, smooth (>= 4.4.0), testthat (>= 3.2.0), tidyselect, timeSeries, tsbox, tscount (>= 1.4.3), tsfeatures, tsibble, tsibbledata, vctrs, vdiffr (>= 1.0.0), withr (>= 3.0.0), xts, zoo
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-13 20:30:12 UTC; mmuecke
Author: Maximilian Muecke [aut, cre] , Marc Becker [aut] , Bernd Bischl [aut]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 07:10:15 UTC

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New package isoexplorer with initial version 0.4.1
Package: isoexplorer
Title: GUI Components to Explore Stable Isotope Data Files
Version: 0.4.1
Description: Provides graphical user interface components to explore stable isotope data files using the 'isoreader2' package, including browsing, visualizing, and exporting isotope data.
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: cli (>= 3.6.0), rlang (>= 1.1.0), tibble, dplyr, purrr, stringr, htmltools, shiny, bslib, shinyjs, shinyAce, shinycssloaders, rlog, DT, ggplot2, isoreader2 (>= 0.6.0), stats, callr, httpuv, htmlwidgets, tidyr, tidyselect, tools, utils, withr
Suggests: testthat (>= 3.0.0), pkgload
URL: https://github.com/isoverse/isoexplorer
BugReports: https://github.com/isoverse/isoexplorer/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-14 08:04:08 UTC; seko0922
Author: Sebastian Kopf [aut, cre]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>
Repository: CRAN
Date/Publication: 2026-07-22 08:00:02 UTC

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New package gibbsTI with initial version 0.1.0
Package: gibbsTI
Title: Calibrated Gibbs Posteriors for Tolerance Intervals
Version: 0.1.0
Description: Provides tools for constructing one-sided and two-sided nonparametric tolerance intervals using calibrated Gibbs posteriors. The methods target population quantiles and content levels while achieving nominal frequentist coverage through data-driven calibration. The methodology is described in Pourmohamad, Richardson, and Sansó (2026) <doi:10.1080/00401706.2026.2699103>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2026-07-13 23:02:00 UTC; pourmtx
Author: Tony Pourmohamad [aut, cre], Robert Richardson [aut], Bruno Sanso [aut]
Maintainer: Tony Pourmohamad <tpourmohamad@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 07:30:12 UTC

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New package arkg with initial version 0.1.0
Package: arkg
Title: Access to the ArKG Chile Archaeological Dating Knowledge Graph
Version: 0.1.0
Description: Client for the Archaeology Knowledge Graph of Chile (ArKG, <https://arkg.cl>), providing access to Chilean archaeological dates (radiocarbon and thermoluminescence) via its SPARQL endpoint powered by 'MillenniumDB'.
License: CC BY-SA 4.0
Encoding: UTF-8
URL: https://arkg.cl, https://github.com/ArKG-Data/arkg-r
BugReports: https://github.com/ArKG-Data/arkg-r/issues
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, tibble
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-07-13 20:40:31 UTC; Victor
Author: Victor Mendez [aut, cre]
Maintainer: Victor Mendez <victor.mendez@uc.cl>
Repository: CRAN
Date/Publication: 2026-07-22 07:10:30 UTC

More information about arkg at CRAN
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New package electsys21 with initial version 0.1.0
Package: electsys21
Title: Voting Methods for Ranked, Rated and Approval Ballots
Version: 0.1.0
Description: Implements a range of voting methods and electoral systems for determining election winners, including the D21 method with and without minus votes (Janecek, <https://www.ih21.org/en/d21-janecek-method>), first-past-the-post, two-round runoff, instant runoff, the Borda count, approval voting, majority judgement and the Condorcet method. The functions accept several ballot formats - ranking, cardinal utilities, approvals and scores - with automatic detection of the input type, configurable tie-breaking and tidy summaries of the results.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ivan-ih21/electsys21
BugReports: https://github.com/ivan-ih21/electsys21/issues
Imports: stats
NeedsCompilation: no
Packaged: 2026-07-13 11:59:35 UTC; Ivan
Author: Ivan Iakimov [aut, cre]
Maintainer: Ivan Iakimov <ivan.iakimov@ih21.org>
Repository: CRAN
Date/Publication: 2026-07-22 06:10:15 UTC

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New package clustGLMM with initial version 1.0
Package: clustGLMM
Title: Model-Based Clustering of Mixed-Type Longitudinal Data
Version: 1.0
Encoding: UTF-8
Maintainer: Jan Vavra <vavraj@karlin.mff.cuni.cz>
Description: Provides tools for Bayesian estimation and inference for modelling clusterwise multivariate regression models for numeric, count, binary, ordinal and count outcomes observed repeatedly on the same units and where possible relations among outcomes are captured through a joint distribution of random effects. The clusters are defined through cluster-specific parameters, which the analyst can choose, e.g., with respect to the regression coefficients. In particular, the model specification for each regression model via the formula is specific to the outcome and consists of four parts: (1) fixed - regression coefficients common to all clusters, (2) group - group-specific regression coefficients, (3) random - random effects specific for each unit, (3) offset - name of an offset variable (if needed). Estimation is performed using MCMC sampling combining Gibbs and Metropolis-Hastings steps. Post-processing tools allow to assess convergence and address label switching and provide visual diagnost [...truncated...]
License: GPL-2
Imports: coda, colorspace, gaussquad, graphics, grDevices, HDInterval, MASS, methods, mvtnorm, nnet, RcppHungarian, splines, stats, utils
Depends: R (>= 4.0.0)
Suggests: knitr, rmarkdown, bookdown, kableExtra, dplyr, DiagrammeR, DiagrammeRsvg, rsvg, mclust, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-13 14:41:21 UTC; vavraj
Author: Jan Vavra [aut, cre] , Bettina Gruen [aut] , Gertraud Malsiner-Walli [aut] , Arnost Komarek [aut]
Repository: CRAN
Date/Publication: 2026-07-22 06:20:02 UTC

More information about clustGLMM at CRAN
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Tue, 21 Jul 2026

New package dryingkineticmodels with initial version 1.0.0
Package: dryingkineticmodels
Title: Drying Kinetic Models Comparison and Analysis
Version: 1.0.0
Description: Fits multiple thin-layer drying kinetic models to experimental moisture ratio data, compares model performance using statistical criteria, performs residual diagnostics, identifies the best-fitting model, and exports results to Word documents. Twenty models from Ertekin and Firat (2017) <doi:10.1016/j.jfoodeng.2016.09.030> are fitted using the Levenberg-Marquardt algorithm described in Marquardt (1963) <doi:10.1137/0111030>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
Imports: readxl, lmtest, minpack.lm, tseries, officer, flextable
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-12 07:50:54 UTC; Sanand
Author: Joshy C G [aut, cre], Devika S [aut]
Maintainer: Joshy C G <cgjoshy@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-21 11:10:08 UTC

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New package bayesTLS with initial version 1.0.0
Package: bayesTLS
Title: Joint Bayesian 4PL Models for Thermal Load Sensitivity
Version: 1.0.0
Description: Fits joint Bayesian four-parameter logistic (4PL) models to thermal-tolerance proportion data, extracts the classical thermal load sensitivity quantities (z, CTmax at 1 hour, T_crit) with full posterior uncertainty, and predicts heat-injury accumulation and survival under fluctuating temperature regimes with optional Sharpe-Schoolfield repair. Models are fitted with 'Stan' via the 'brms' package. Implements the framework described in Noble, Arnold, Nakagawa and Pottier (in preparation).
License: CC BY 4.0
Encoding: UTF-8
URL: https://github.com/daniel1noble/bayesTLS
BugReports: https://github.com/daniel1noble/bayesTLS/issues
Imports: brms, dplyr, ggplot2, MASS, methods, patchwork, posterior, stats, tibble, utils
Suggests: cmdstanr, glmmTMB, here, pkgload, readxl, testthat (>= 3.0.0), tidybayes, tidyr
Additional_repositories: https://stan-dev.r-universe.dev
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-13 01:19:43 UTC; noble
Author: Daniel W. A. Noble [aut, cre], Pieter A. Arnold [aut], Shinichi Nakagawa [aut], Patrice Pottier [aut]
Maintainer: Daniel W. A. Noble <daniel.noble@anu.edu.au>
Repository: CRAN
Date/Publication: 2026-07-21 11:10:19 UTC

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New package ximage with initial version 0.1.0
Package: ximage
Title: Draw Images of Raster Data and Related Adornments
Version: 0.1.0
Description: Draw images easily, set up a plot with an image, specify where that image should be placed. Image plot by default reflects the index of the image data itself, or can be specified in simple extent terms 'xmin,xmax,ymin,ymax'. Numeric matrices, integer arrays, byte arrays, character arrays, and native rasters are (or will be) supported. A combination of image() and rasterImage() from the 'graphics' package with their good features in one place.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/hypertidy/ximage
BugReports: https://github.com/hypertidy/ximage/issues
NeedsCompilation: no
Packaged: 2026-07-12 08:28:02 UTC; mdsumner
Author: Michael D. Sumner [aut, cre, cph], Chris Toney [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-21 10:40:02 UTC

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New package surveyverse with initial version 0.1.1
Package: surveyverse
Title: Easily Install and Load Survey Analysis Packages
Version: 0.1.1
Description: Makes it easy to install and load a collection of packages for survey analysis that build upon the foundational 'survey' package of Lumley (2004) <doi:10.18637/jss.v009.i08>. Schneider (2025) <https://isi-iass.org/home/wp-content/uploads/Survey_Statistician_2025_January_N91_06.pdf> describes the three core packages in this collection.
License: GPL (>= 3)
Encoding: UTF-8
Imports: cli, rlang, survey, srvyr, svrep, svyVGAM, svylme, stats
Suggests: spelling
Language: en-US
URL: https://github.com/bschneidr/surveyverse
BugReports: https://github.com/bschneidr/surveyverse/issues
NeedsCompilation: no
Packaged: 2026-07-12 14:50:33 UTC; benja
Author: Ben Schneider [aut, cre, cph], Hadley Wickham [ctb]
Maintainer: Ben Schneider <benjamin.julius.schneider@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-21 10:50:02 UTC

More information about surveyverse at CRAN
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New package steinsampling with initial version 0.1.0
Package: steinsampling
Title: Kernel Stein Discrepancy Goodness-of-Fit and Stein Sampling Tools
Version: 0.1.0
Date: 2026-07-11
Maintainer: Junhao Gao <jug049@ucsd.edu>
Description: Provides Stein-discrepancy goodness-of-fit tests and Stein-method-based sampling tools. The tests include kernel Stein discrepancy U- and V-statistics following Liu et al. (2016) <doi:10.48550/arXiv.1602.03253> and Chwialkowski et al. (2016) <doi:10.48550/arXiv.1602.02964>, plus the finite set Stein discrepancy test of Jitkrittum et al. (2017) <doi:10.48550/arXiv.1705.07673>. The sampling tools include Stein thinning, Stein Points, Stein Point Markov chain Monte Carlo, and Stein variational gradient descent following Riabiz et al. (2022) <doi:10.48550/arXiv.2005.03952>, Chen et al. (2018) <doi:10.48550/arXiv.1803.10161>, Chen et al. (2019) <doi:10.48550/arXiv.1905.03673>, and Liu and Wang (2016) <doi:10.48550/arXiv.1608.04471>. Gaussian mixture utilities are included for simulation, likelihoods, posterior probabilities, scores, and plots.
URL: https://github.com/junhao7622/steinsampling
BugReports: https://github.com/junhao7622/steinsampling/issues
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats, graphics, mvtnorm
Suggests: testthat, withr
NeedsCompilation: no
Packaged: 2026-07-12 00:15:35 UTC; junhao
Author: Junhao Gao [aut, cre], Ery Arias-Castro [aut]
Repository: CRAN
Date/Publication: 2026-07-21 10:30:02 UTC

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New package statwitness with initial version 0.1.0
Package: statwitness
Title: Model-Aware Validation and Audit Certificates for Statistical Analyses
Version: 0.1.0
Description: Provides model-aware behavioral validation and audit certificates for statistical analyses. Controlled transformations and model-specific diagnostic checks are organized across five domains: computational integrity, numerical stability, design adequacy, assumption screening, and influence stability. Supported workflows include linear models, generalized linear models, classical and repeated-measures analyses of variance, mixed-effects models fitted using 'lme4' or 'glmmTMB', and survival models fitted using 'survival'. Checks are selected according to registered applicability conditions for each model class. The resulting certificates describe computational behavior and selected diagnostic findings; they do not establish causal validity, model correctness, or scientific appropriateness.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, reformulas, stats, tools
Suggests: afex, glmmTMB, knitr, lme4, rmarkdown, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/George33cy/statwitness
BugReports: https://github.com/George33cy/statwitness/issues
NeedsCompilation: no
Packaged: 2026-07-12 10:13:36 UTC; georg
Author: Georgios P. Georgiou [aut, cre]
Maintainer: Georgios P. Georgiou <georgiou.georg@unic.ac.cy>
Repository: CRAN
Date/Publication: 2026-07-21 10:40:08 UTC

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New package SelectSim with initial version 0.1.6
Package: SelectSim
Title: Selected Events Linked by Evolutionary Conditions in Cancer
Version: 0.1.6
Description: Implements the 'SelectSim' methodology for identifying patterns of co-occurrence and mutual exclusivity between functional genomic alterations in cancer cohorts. The package processes mutation annotation data, constructs alteration matrices, estimates expected alteration-pair frequencies, and quantifies deviations associated with selective interactions. The methodology is described in Iyer et al. (2026) <doi:10.1038/s41588-026-02661-4>.
License: MIT + file LICENSE
URL: https://csogroup.github.io/SelectSim/
BugReports: https://github.com/CSOgroup/SelectSim/issues
Depends: R (>= 3.5)
Imports: doParallel, doRNG, dplyr, foreach, ggplot2, ggpubr, ggridges, Matrix, parallel, Rcpp, Rfast, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tictoc
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Language: en-US
NeedsCompilation: yes
Packaged: 2026-07-12 07:29:57 UTC; arvindiyer
Author: Arvind Iyer [aut, cre, cph] , Marco Mina [aut], Miljan Petrovic [aut, cph], Giovanni Ciriello [aut, cph]
Maintainer: Arvind Iyer <ayalurarvind@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-21 10:40:14 UTC

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New package rwevalidate with initial version 0.1.2
Package: rwevalidate
Title: Validate Patient Cohorts for Real-World Evidence Studies on the OMOP Common Data Model
Version: 0.1.2
Description: Validates instantiated patient cohorts on an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) database for real-world-evidence (RWE) studies. From a single function call it produces a structured validation report in Hypertext Markup Language (HTML) and JavaScript Object Notation (JSON) covering concept coverage, cohort attrition, temporal data density, and covariate feasibility against a comparator. The checks are aligned with the United States Food and Drug Administration (FDA) guidance on real-world data and evidence, FDA (2023) <https://www.fda.gov/media/171667/download>, the Harmonized Protocol Template to Enhance Reproducibility (HARPER), Wang and others (2022) <doi:10.1002/pds.5507>, and the Reporting of Studies Conducted Using Observational Routinely-Collected Data for Pharmacoepidemiology (RECORD-PE) statement, Langan and others (2018) <doi:10.1136/bmj.k3532>. A self-contained example database is bundled so the checks can be run withou [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/tavakohr/rwevalidate
BugReports: https://github.com/tavakohr/rwevalidate/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: DBI, RPostgres, jsonlite, rmarkdown, glue, cli, utils
Suggests: testthat (>= 3.0.0), duckdb, ggplot2, knitr, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-11 17:23:20 UTC; tavak
Author: Hamid Tavakoli [aut, cre]
Maintainer: Hamid Tavakoli <htavakoli@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-21 10:20:02 UTC

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New package ropper with initial version 0.2
Package: ropper
Title: Ranking-Optimized Population Posterior Expected Percentiles
Version: 0.2
Date: 2026-07-11
Maintainer: Nicholas Henderson <nchender@umich.edu>
Imports: stats, utils
Description: Implements the empirical Bayes ranking method described in Henderson and Hartman (2025) <doi:10.48550/arXiv.2511.16530>. The data structure of interest is a collection of cluster-specific effect size estimates, associated standard errors for these estimates, and cluster-level covariates. Estimates of the rankings of the cluster-specific effect sizes after adjusting for cluster-level covariates are generated.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-11 05:25:28 UTC; nchender
Author: Nicholas Henderson [cre, aut], Nicholas Hartman [aut]
Repository: CRAN
Date/Publication: 2026-07-21 10:30:09 UTC

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New package ria.test with initial version 0.2.1
Package: ria.test
Title: Testing Equality of Natural Mediation Effects and Their Randomized Interventional Analogues
Version: 0.2.1
Maintainer: Ang Yu <ang_yu@outlook.com>
Description: Implements the empirical test introduced by Yu, Ge, and Elwert (2026) for detecting when randomized interventional analogues should not be interpreted as natural mediation effects. The package estimates natural effects, their randomized interventional analogues, and TE - TE^R, the difference between the total effect and its randomized interventional analogue. Rejecting TE - TE^R = 0 falsifies the composite null that the natural indirect and direct effects equal their randomized interventional analogues. The procedure remains valid in settings where the natural effects themselves are not identified, and |TE - TE^R| provides a lower bound on the total divergence between the natural and randomized interventional decompositions.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.2.0)
URL: https://github.com/ang-yu/ria.test
BugReports: https://github.com/ang-yu/ria.test/issues
Imports: checkmate, Matrix, origami, torch, Rsymphony, purrr, cli, S7, data.table, coro, generics, mlr3superlearner, progressr, ife (>= 0.2.1)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-12 14:31:31 UTC; Ang
Author: Ang Yu [aut, cre, cph] , Nicholas Williams [aut, cph] , Richard Liu [ctb] , Ivan Diaz [aut, cph]
Repository: CRAN
Date/Publication: 2026-07-21 10:50:07 UTC

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New package oalasso with initial version 1.0.0
Package: oalasso
Title: Outcome-Adaptive Lasso Propensity Scores
Version: 1.0.0
Description: Estimates propensity scores by the outcome-adaptive lasso of Shortreed and Ertefaie (2017) <doi:10.1111/biom.12679> and the generalized outcome-adaptive lasso (GOAL) of Balde, Yang and Lefebvre (2023) <doi:10.1111/biom.13683>, using 'glmnet' with an exact penalty-scale correction so that the published objectives and tuning grids are reproduced. Tuning is by the weighted absolute mean difference balance criterion. The resulting score is designed to be supplied directly to the matchit() function of 'MatchIt' as a distance measure, to the weightit() function of 'WeightIt' as a propensity score, or to the psave() function of 'psAve' as an appended candidate.
Depends: R (>= 4.1)
Imports: glmnet (>= 4.1-2), cobalt (>= 4.6.0), stats, utils, graphics
Suggests: MatchIt, WeightIt, psAve, rpart, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
URL: https://kabajiro.github.io/oalasso/, https://github.com/kabajiro/oalasso
BugReports: https://github.com/kabajiro/oalasso/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-12 02:00:17 UTC; daiji
Author: Daijiro Kabata [aut, cre, cph]
Maintainer: Daijiro Kabata <daijiro.kabata@port.kobe-u.ac.jp>
Repository: CRAN
Date/Publication: 2026-07-21 10:30:14 UTC

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New package lagdynamics with initial version 0.32
Package: lagdynamics
Title: Lag Sequential Analysis, Dynamics, and Lag Transition Networks
Version: 0.32
Description: A modern, tidy toolkit for lag sequential analysis and lag transition networks of categorical event and sequence data. It provides an accessible, unified workflow for fitting, inspecting, visualising, and comparing lagged transition patterns, with tidy outputs throughout. Includes confirmatory tools for uncertainty, robustness, and group differences, including bootstrap intervals, analytic certainty, split-half reliability, case-drop stability, permutation tests, and Bayesian group comparisons. Supports long-format event-log import, import from common sequence and state-sequence objects, multi-lag analysis, structural-zero constraints, transition and initial probabilities, plotting of transition structures, and a directed transfer-entropy measure. The lag sequential analysis framework follows Sackett and others (1979) <doi:10.3758/BF03205679>.
License: MIT + file LICENSE
URL: https://github.com/mohsaqr/lagdynamics
BugReports: https://github.com/mohsaqr/lagdynamics/issues
Language: en-US
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cograph (>= 2.3.6), ggplot2 (>= 3.4.0), grDevices, grid, stats, utils
Suggests: testthat (>= 3.0.0), Nestimate, tna, knitr, rmarkdown
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-11 19:40:45 UTC; mohammedsaqr
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>
Repository: CRAN
Date/Publication: 2026-07-21 10:20:07 UTC

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New package ivreg2r with initial version 0.1.0
Package: ivreg2r
Title: Extended Instrumental Variables Estimation with Diagnostics
Version: 0.1.0
Description: Comprehensive instrumental variables and GMM estimation with automatic diagnostics, inspired by the 'Stata' command 'ivreg2' of Baum, Schaffer, and Stillman (2003) <doi:10.1177/1536867X0300300101> and Baum, Schaffer, and Stillman (2007) <doi:10.1177/1536867X0800700402>. Supports 2SLS, LIML, Fuller, k-class, two-step efficient GMM, and continuously-updated (CUE) estimators. Provides classical, robust, cluster-robust, HAC, and Driscoll-Kraay standard errors. Reports weak identification, underidentification, overidentification, and endogeneity tests at estimation time. All outputs are verified against 'Stata' within tight numerical tolerances.
License: GPL-3
Copyright: Adapted from the Stata package 'ivreg2' by Christopher F Baum, Mark E Schaffer, and Steven Stillman, distributed under GPL-3. Component-level provenance for the adapted code and the bundled datasets is in inst/COPYRIGHTS.
URL: https://restatr.com/ivreg2r/, https://github.com/restatr/ivreg2r
BugReports: https://github.com/restatr/ivreg2r/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.4.0)
Imports: Formula, generics, stats, tibble
Suggests: dplyr, ivreg, knitr, modelsummary, rmarkdown, sandwich, testthat (>= 3.1.5), tidyr
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-12 16:42:00 UTC; francisditraglia
Author: Francis DiTraglia [aut, cre], Christopher F. Baum [ctb, cph] , Mark E. Schaffer [ctb, cph] , Steven Stillman [ctb, cph]
Maintainer: Francis DiTraglia <francis.ditraglia@economics.ox.ac.uk>
Repository: CRAN
Date/Publication: 2026-07-21 11:00:02 UTC

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New package invasible with initial version 0.1.0
Package: invasible
Title: Predicting Invasion Probabilities from Phylogenetic Data and Species Traits
Version: 0.1.0
Description: A phylogenetic modelling approach for predicting species invasion risk, out of a given pool of local species where a subset is known to be invasive elsewhere. The package uses phylogenetic signal estimation and phylogenetic linear and logistic models to estimate probabilities of being invasive based on phylogeny and any set of additional predictors. A ranking method is implemented to evaluate prioritisation strategies. A manuscript describing these methods, by Shahar Dubiner and Tamar Guy-Haim, is in preparation.
License: GPL-3
Encoding: UTF-8
Imports: ape, caper, ggplot2, phylolm, phyr, phytools, pROC, rotl, stats
NeedsCompilation: no
Packaged: 2026-07-12 00:14:38 UTC; shadu
Author: Shahar Dubiner [aut, cre]
Maintainer: Shahar Dubiner <dubiner@mail.tau.ac.il>
Depends: R (>= 3.5)
LazyData: true
Repository: CRAN
Date/Publication: 2026-07-21 10:30:30 UTC

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New package html2excel with initial version 1.0.1
Package: html2excel
Title: Convert 'HTML' Tables to 'Excel' Files
Version: 1.0.1
Date: 2026-07-12
Description: Reads tables from 'HTML' web pages or local documents. The tables are returned as a list of 'tibbles' and may be written to 'Excel' files.
Imports: openxlsx, rvest, tools, utils
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://paulnorthrop.github.io/html2excel/, https://github.com/paulnorthrop/html2excel
BugReports: https://github.com/paulnorthrop/html2excel/issues
NeedsCompilation: no
Packaged: 2026-07-12 12:37:25 UTC; Paul
Author: Paul Northrop [aut, cre, cph]
Maintainer: Paul Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2026-07-21 10:50:12 UTC

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New package grassr with initial version 0.7.4
Package: grassr
Title: Context-Conditioned Reporting for Binary Rater Reliability
Version: 0.7.4
Description: Generates a Report Card for rater reliability on binary outcomes from an N x k subject-by-rater rating matrix, on both the inter-rater and intra-rater axes. Each panel coefficient is positioned on a data-generating-process-calibrated reference surface conditioned on the study's rater count, sample size, and prevalence, yielding a pooled percentile (the coefficient's position within the design's achievable agreement range) together with a consistency band on panel quality: the quality levels whose sampling distributions are consistent with the observed value at that design. The panel coefficients are the prevalence-adjusted bias-adjusted kappa (PABAK) of Byrt, Bishop, and Carlin (1993) <doi:10.1016/0895-4356(93)90018-V>, the first-order agreement coefficient (AC1) of Gwet (2008) <doi:10.1348/000711006X126600>, the multi-rater kappa of Fleiss (1971) <doi:10.1037/h0031619>, and the observed intraclass correlation. A cross-coefficient discordance diagnostic (delta-hat) re [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats
Suggests: boot, ggplot2, broom, future, future.apply, irr, irrCAC, patchwork, progressr, knitr, lme4 (>= 1.1-30), rmarkdown, testthat (>= 3.0.0), viridisLite
VignetteBuilder: knitr
URL: https://defense031.github.io/grassr/, https://github.com/defense031/grassr
BugReports: https://github.com/defense031/grassr/issues
NeedsCompilation: no
Packaged: 2026-07-12 12:28:30 UTC; austinsemmel
Author: Austin Semmel [aut, cre], Rachel Gidaro [aut]
Maintainer: Austin Semmel <austinsemmel@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-21 10:50:17 UTC

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New package freqTLS with initial version 0.1.0
Package: freqTLS
Title: Frequentist Inference for Thermal Load Sensitivity Models
Version: 0.1.0
Description: A maximum-likelihood implementation of the thermal-load-sensitivity framework for thermal death-time modelling introduced by Noble, Arnold and Pottier in the 'bayesTLS' package, providing the frequentist counterpart to that Bayesian workflow. The modelling idea and the four-parameter logistic parameterisation are theirs; 'freqTLS' contributes a 'Template Model Builder' ('TMB') likelihood whose midpoint is written directly in terms of critical thermal maximum ('CTmax') and thermal sensitivity (z) so both headline quantities are estimable, and reports uncertainty through a unified trio of frequentist intervals -- Wald (delta), profile-likelihood, and bootstrap -- for binomial and beta-binomial survival counts and beta-distributed proportions. Column and formula interfaces support fixed and grouped designs plus limited independent random intercepts; prediction includes survival curves and deterministic heat-injury scenarios. Equivalence claims are restricted to the matched relative-thresh [...truncated...]
License: GPL (>= 3)
Copyright: See file inst/COPYRIGHTS.
URL: https://github.com/itchyshin/freqTLS, https://itchyshin.github.io/freqTLS/
BugReports: https://github.com/itchyshin/freqTLS/issues
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: cli, ggplot2, MASS, parallel, rlang, stats, tibble, TMB, utils
LinkingTo: RcppEigen, TMB
Suggests: glmmTMB, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-07-12 14:17:04 UTC; z3437171
Author: Shinichi Nakagawa [aut, cre, cph] , Pieter A. Arnold [aut] , Patrice Pottier [aut] , Daniel W. A. Noble [aut]
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-21 11:00:10 UTC

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New package dataganger with initial version 0.6.1
Package: dataganger
Title: Synthetic Data Doubles for Safer Prototyping
Version: 0.6.1
Author: Lennon Li [aut, cre]
Maintainer: Lennon Li <yeli@biostats.ai>
Description: Creates synthetic data doubles from real datasets for prototyping, teaching, 'shiny' development, and AI-assisted programming. Provides data profiling, role detection, configurable synthesis, utility comparison, and disclosure-risk warnings. Synthetic outputs are intended to reduce direct disclosure risk, not to guarantee privacy.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: cli, digest, dplyr, haven, jsonlite, readr, readxl, rlang, stats, tibble, utils, withr, yaml, zip
Suggests: bslib, callr, DT, ggplot2, knitr, nnet, pkgdown, plotly, rmarkdown, shiny, shinytest2, spelling, synthpop, testthat (>= 3.0.0)
URL: https://dataganger.biostats.ai/, https://github.com/lennon-li/dataganger
BugReports: https://github.com/lennon-li/dataganger/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-12 16:49:35 UTC; yeli
Repository: CRAN
Date/Publication: 2026-07-21 11:00:19 UTC

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New package crownmetrics with initial version 0.1.0
Package: crownmetrics
Title: Tree Crown Shape and Morphometric Parameters
Version: 0.1.0
Description: Provides functions to compute tree crown volume and projected area using geometric solid approximations (ellipsoid, cone, cylinder, paraboloid, and fan shapes), and to calculate morphometric indices commonly used in forest inventory and silviculture, including crown ratio, crown form factor, slenderness, salience index, and scope index. Methods are based on peer-reviewed literature in forest science.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.0.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-12 00:27:35 UTC; sergio.costa
Author: Sergio Costa [aut, cre, cph] , Gilmara Machado [aut, cph]
Maintainer: Sergio Costa <sergio.vscf@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-21 10:30:34 UTC

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New package textures with initial version 0.1.0
Package: textures
Title: Quad Mesh Primitives and Texture Mapping for Grids
Version: 0.1.0
Description: Generate quad mesh primitives from the compact specification of a regular grid, its dimension and extent. Provides fast generation of mesh indexes and vertices, an unexpanded intermediate form (the grid edge coordinates), and a compact serializable specification for meshes that are generated on demand. Meshes are 'mesh3d' objects as used by the 'rgl' package, constructed without requiring any graphics engine, with support for texture mapping (Heckbert (1986) <doi:10.1109/MCG.1986.276672>) where an image is draped over a mesh whose density is independent of the image resolution. A C++ header library is installed so that other packages may generate mesh components via 'LinkingTo'.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: graphics, grDevices
Depends: R (>= 3.6.0)
Suggests: knitr, png, rgl, rmarkdown, spelling, testthat
LinkingTo: cpp11
VignetteBuilder: knitr
URL: https://hypertidy.github.io/textures/, https://github.com/hypertidy/textures
BugReports: https://github.com/hypertidy/textures/issues
Language: en-US
NeedsCompilation: yes
Packaged: 2026-07-11 10:01:30 UTC; mdsumner
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-21 09:30:02 UTC

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New package tbnb with initial version 0.1.0
Package: tbnb
Title: Threshold-Based and Iterative Threshold-Based Naive Bayes Classifier
Version: 0.1.0
Description: Implements the Threshold-Based Naive Bayes (Tb-NB) classifier and its iterative refinement (iTb-NB) for binary sentiment / text classification problems. The classifier computes a continuous log-likelihood ratio score per document and uses a data-driven decision threshold estimated via K-fold cross-validation on a user-selected criterion (accuracy, F1 score, Matthews correlation coefficient, balanced error, etc.). An optional iterative refinement procedure locally re-estimates the threshold in regions of class overlap using either Gaussian kernel density estimation or a Central Limit Theorem bootstrap approximation. The package exposes an idiomatic R formula + data.frame interface together with a 'quanteda'-based text preprocessing pipeline, supports user-supplied document-feature matrices, and includes an optional word-embedding extension that augments the Bag-of-Words with K nearest semantic neighbours of each token. The package additionally implements the p-value extension proposed b [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.0)
Imports: Matrix, methods, stats, grDevices, graphics, quanteda (>= 3.0.0)
Suggests: text2vec, stopwords, SnowballC, cld2, cld3, dbscan, viridisLite, testthat (>= 3.0.0), ggplot2
NeedsCompilation: no
Packaged: 2026-07-11 09:53:18 UTC; 39346
Author: Maurizio Romano [aut, cre]
Maintainer: Maurizio Romano <romano.maurizio@unica.it>
Repository: CRAN
Date/Publication: 2026-07-21 09:30:07 UTC

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New package RPWNSC with initial version 0.1.0
Package: RPWNSC
Title: Run Purity Weighted Nearest Shrunken Centroid Feature Selection
Version: 0.1.0
Author: Amjad Ali [aut, cre], Zardad Khan [aut], Saeed Aldahmani [aut]
Maintainer: Amjad Ali <amjadali@uaeu.ac.ae>
Description: Provides a classifier independent filter method for high-dimensional gene-expression feature selection. The Run Purity Weighted Nearest Shrunken Centroid ('RPWNSC') score ranks genes by multiplying a run based purity score, which measures the compactness of class labels after sorting samples by each feature, by a scaled nearest shrunken centroid score, which measures standardized class centroid separation relative to within class variation. The top ranked features can then be used with downstream classifiers without wrapper search, feature clustering, or classifier dependent training. 'Amjad Ali, Zardad Khan, Saeed Aldahmani' (2026) <doi:10.1016/j.mlwa.2026.100947>.
License: GPL-3
Encoding: UTF-8
LazyData: false
Depends: R (>= 3.5.0)
Imports: stats
NeedsCompilation: no
Packaged: 2026-07-11 13:18:22 UTC; Amjad Ali
Repository: CRAN
Date/Publication: 2026-07-21 09:50:11 UTC

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New package rpkgkit with initial version 0.1.7
Package: rpkgkit
Title: Create and Maintain R Packages
Version: 0.1.7
Description: Utilities for R package development including NEWS.md management, standalone file creation, and code formatting. Supports popular development workflows and integrates with 'usethis' and 'RStudio'. Includes helper functions for renaming functions and detecting common coding errors.
License: MIT + file LICENSE
URL: https://github.com/WangLabCSU/rpkgkit
BugReports: https://github.com/WangLabCSU/rpkgkit/issues
Depends: R (>= 4.1.0)
Imports: cli, lifecycle, rlang (>= 1.0.0), rstudioapi
Suggests: desc, devtools, dplyr, flir, gh, grDevices, httr2, pkgload, rmarkdown, stats, testthat (>= 3.0.0), usethis, withr, yaml
Copyright: Jacob Scott, Christopher T. Kenny, and Sebastian Lammers (for the pedant code included in R/vendor-pedant.R); Diego Hernangómez (for the pkgdev code included in R/vendor-pkgdev.R); and (for the pedant code included in R/vendor-pedant.R); Diego Hernangómez (for the pkgdev code included in R/vendor-pkgdev.R)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-11 05:17:43 UTC; yyx
Author: Yuxi Yang [aut, cre], Jacob Scott [aut, cph] ), Christopher T. Kenny [ctb, cph] , Sebastian Lammers [ctb, cph] , Diego Hernangomez [aut, cph] )
Maintainer: Yuxi Yang <15364051195@163.com>
Repository: CRAN
Date/Publication: 2026-07-21 09:40:02 UTC

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New package matchednull with initial version 0.1.0
Package: matchednull
Title: Matched-Null Tests for Cluster-Count Claims
Version: 0.1.0
Description: Builds Gaussian-copula matched nulls: synthetic twins of a dataset that preserve every marginal distribution and the full correlation matrix while containing no cluster structure by construction. A reported number of clusters or "types" can then be tested against what the data's own margins and covariance already produce, using any clustering pipeline. Implements the matched-null procedure of Meng (2026) "Types Without Taxa" <https://osf.io/2ekcg>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: mclust, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/haomeng797-ship-it/matchednull
BugReports: https://github.com/haomeng797-ship-it/matchednull/issues
NeedsCompilation: no
Packaged: 2026-07-11 09:19:38 UTC; menghao
Author: Miura Meng [aut, cre]
Maintainer: Miura Meng <meng10@upenn.edu>
Repository: CRAN
Date/Publication: 2026-07-21 09:30:13 UTC

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New package LLMRagent with initial version 0.8.0
Package: LLMRagent
Title: Reproducible Language-Model Agents for Research
Version: 0.8.0
Description: An 'R' interface built on 'LLMR' creates large language model (LLM) agents for use as reproducible and governed research instruments. Agents pair a model configuration with optional persona instructions. Stateful exchanges retain conversational memory, and native 'R' functions can serve as tools within declared budgets. Several agents can hold a turn-taking conversation over a shared transcript, and factorial experiments across such designs run in parallel. Model calls and tool activity are captured in a run object, so the research record extends beyond generated text. A study manifest hashes the design and computational apparatus without treating sampled replies as part of its identity, and a hash-sealed archive preserves it alongside transcripts and call records. Tool policies record declared side effects and can limit call counts or result sizes; calls marked for human review pause before execution. Robustness checks assess sensitivity to prompt or model changes, while calibration a [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: LLMR (>= 0.8.10), R6, tibble, rlang, cli, digest, jsonlite, httr2, callr, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, future, future.apply, dplyr, withr, R.utils, jsonvalidate, igraph, htmltools
VignetteBuilder: knitr
URL: https://github.com/asanaei/LLMRagent, https://asanaei.github.io/LLMRagent/
BugReports: https://github.com/asanaei/LLMRagent/issues
NeedsCompilation: no
Packaged: 2026-07-11 05:15:06 UTC; ali
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>
Repository: CRAN
Date/Publication: 2026-07-21 09:20:08 UTC

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New package facomplex with initial version 0.0.3
Package: facomplex
Title: Methods for Assessing Factor Complexity in Factor Analysis Solutions
Version: 0.0.3
Depends: R (>= 3.5.0)
Imports: ggplot2, stats
Description: Provides methods for estimating factor complexity coefficients in exploratory and confirmatory factor analysis (EFA/CFA) results. Included indices are the Hofman coefficient, Fleming's approach for factor simplicity, and others. Additional outputs include descriptive statistics (minimum, maximum, and mean) for target and non-target loadings, and visualization of results. References: Fleming, J.S. (2003) <doi:10.3758/bf03195531>; Hofmann, R.J. (1978) <doi:10.1207/s15327906mbr1302_9>; Kaiser, H.F. (1974) <doi:10.1007/BF02291575>; Bentler, P.M. (1977) <doi:10.1007/BF02294054>; Lorenzo-Seva, U. (2003) <doi:10.1007/BF02296652>.
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
Suggests: knitr, rmarkdown, psych, lavaan, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-11 16:16:23 UTC; C NINJA
Author: Merino-Soto Cesar A. [aut, cre], Dominguez-Lara Sergio [ctb]
Maintainer: Merino-Soto Cesar A. <sikayax@yahoo.com.ar>
Repository: CRAN
Date/Publication: 2026-07-21 10:00:02 UTC

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New package facetsviz with initial version 0.1.1
Package: facetsviz
Title: Parse and Visualize Facets Output Files
Version: 0.1.1
Description: Utilities to parse output files from 'Facets' (a software widely used for multi-facet Rasch measurement) and build accurate visualizations from the measurement reports. For more details on the underlying measurement framework, see Linacre (1994, ISBN:0-941938-02-6) and Linacre (2023) <https://www.winsteps.com/a/Facets-Manual.pdf>.
URL: https://github.com/myprabowo/facetsviz
BugReports: https://github.com/myprabowo/facetsviz/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggrepel, ggplot2, rlang, scales, stats, tibble, tidyr, tools, utils
Suggests: bslib, DT, knitr, rmarkdown, shiny, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-11 08:29:43 UTC; muhammadyogaprabowo
Author: Muhammad Yoga Prabowo [aut, cre]
Maintainer: Muhammad Yoga Prabowo <muhammadyogaprabowo@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-21 09:20:02 UTC

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New package biofetchR with initial version 0.1.0
Package: biofetchR
Title: Download, Clean, Classify, Enrich and Export Biodiversity Occurrence Data
Version: 0.1.0
Description: Downloads, imports, cleans, classifies, enriches and exports biodiversity occurrence data, with an emphasis on reproducible Global Biodiversity Information Facility (GBIF) <https://api.gbif.org/v1/> workflows. The package supports batch occurrence downloads, taxonomic standardisation, coordinate cleaning, optional spatial thinning, spatial attribution and structured export of processed occurrence records and audit outputs. Terrestrial and freshwater workflows can join records to administrative units, protected areas, freshwater ecoregions, basins, rivers, lakes, reservoirs, wetlands and other contextual spatial overlays. Marine workflows support offshore and coastal records through joins to Marine Regions <https://www.marineregions.org/> style layers, Exclusive Economic Zone (EEZ) units, marine ecoregions, Large Marine Ecosystems and user-supplied marine overlays. The package also supports native-range and invasive-status evidence workflows using the World Register of Marin [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, CoordinateCleaner, countrycode, curl, dplyr, geodata, jsonlite, mregions2, readr, rgbif, rlang, sf, tibble
Suggests: geosphere, ggplot2, httr, knitr, lwgeom, mapme.biodiversity, osmdata, readxl, remotes, rmarkdown, rnaturalearth, stringi, stringr, terra, testthat (>= 3.0.0), tidyr, worrms
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-11 12:53:09 UTC; 40467281
Author: Darren Stuart [aut, cre]
Maintainer: Darren Stuart <dstuart04@qub.ac.uk>
Repository: CRAN
Date/Publication: 2026-07-21 09:50:02 UTC

More information about biofetchR at CRAN
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New package LLMR.shiny with initial version 0.1.1
Package: LLMR.shiny
Title: Shared 'Shiny' Substrate for 'LLMR' Family GUIs
Version: 0.1.1
Description: Provides the shared shell that 'LLMR'-family graphical interfaces are built on. It includes provider and model selection, environment-variable-based API-key handling, demo and live runners, session cost accounting, error banners, comma-separated-value upload and column mapping, and display helpers for the shared diagnostics() and report() generics. Graphical interfaces for the method packages import these helpers rather than each reimplementing them, so a fix here is available to every interface that depends on it.
License: MIT + file LICENSE
URL: https://github.com/asanaei/LLMR.shiny
BugReports: https://github.com/asanaei/LLMR.shiny/issues
Encoding: UTF-8
Imports: shiny, bslib, stats, utils
Suggests: LLMR (>= 0.8.8), DT, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-10 17:14:16 UTC; ali
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>
Repository: CRAN
Date/Publication: 2026-07-21 06:30:02 UTC

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New package biocharkit with initial version 0.2.0
Package: biocharkit
Title: Biochar Characterisation and Adsorption Data Analysis
Version: 0.2.0
Description: A toolkit for analysing biochar characterisation and batch adsorption experiments. Provides functions to parse structured sample identifiers encoding pyrolysis conditions, read raw FTIR and XRD instrument output, compute adsorption capacity and removal efficiency, fit adsorption isotherms following Langmuir (1918) <doi:10.1021/ja02242a004> and Sips (1948) <doi:10.1063/1.1746922> among other models, fit adsorption kinetics following Ho and McKay (1999) <doi:10.1016/S0032-9592(98)00112-5> and Chien and Clayton (1980) <doi:10.2136/sssaj1980.03615995004400020013x> among other models, fit batches of samples at once, compute van't Hoff thermodynamic parameters, baseline-correct and pick peaks in FTIR spectra, deconvolve XRD patterns into a crystallinity index, compute BET surface area following Brunauer, Emmett, and Teller (1938) <doi:10.1021/ja01269a023>, compute proximate and ultimate analysis summaries, build correlation matrices with p-values, and produce pu [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats, utils, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-11 00:40:06 UTC; root
Author: Sukamal Sarkar [aut, cre]
Maintainer: Sukamal Sarkar <sukamal.sarkar@gm.rkmvu.ac.in>
Repository: CRAN
Date/Publication: 2026-07-21 07:00:02 UTC

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Sun, 19 Jul 2026

New package wcswatin with initial version 0.1.1
Package: wcswatin
Title: Weather and Climate Inputs for 'SWAT'
Version: 0.1.1
Description: Provides workflows to prepare weather and climate time series from gridded and station data for 'SWAT' ('Soil and Water Assessment Tool'). Supports data extraction, aggregation, interpolation, quality control, unit conversion, and export of per-location model input files. For the underlying model, see Arnold et al. (1998) "Large Area Hydrologic Modeling and Assessment Part I: Model Development" <doi:10.1111/j.1752-1688.1998.tb05961.x>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: future, knitr, rmarkdown, testthat (>= 3.0.0), withr
Imports: dplyr, tidyr, raster, ncdf4, data.table, glue, stringr, sf, lubridate, hyfo, ggplot2, terra, future.apply, progressr, methods
URL: https://github.com/reginalexavier/wcswatin, https://reginalexavier.github.io/wcswatin/
BugReports: https://github.com/reginalexavier/wcswatin/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-10 16:55:33 UTC; tredgi
Author: Reginal Exavier [aut, cre] , Fernando Shinji Kawakubo [aut] , Peter Zeilhofer [aut]
Maintainer: Reginal Exavier <reginalexavier@rocketmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 13:10:02 UTC

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New package ppforest2 with initial version 0.1.1
Package: ppforest2
Title: Projection Pursuit Oblique Decision Trees and Random Forests
Version: 0.1.1
Date: 2026-07-10
Description: Builds decision trees by splitting on linear combinations of randomly chosen variables. Projection pursuit is used to choose a projection of the variables that best separates the groups. Using linear combinations of variables to separate groups takes the correlation between variables into account, which allows the model to outperform a traditional decision tree when the separation between groups occurs in combinations of variables. Single trees can be assembled into random forests for improved accuracy. Implements projection pursuit classification trees (Lee, Cook, Park and Lee (2013) <doi:10.1214/13-EJS810>) and projection pursuit forests (da Silva, Cook and Lee (2021) <doi:10.1080/10618600.2020.1870480>), following the earlier 'PPforest' package.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.11)
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 3.5.0)
LazyData: true
Encoding: UTF-8
Suggests: ggplot2, jsonlite, knitr, parsnip, patchwork, rlang, rmarkdown, rsample, testthat (>= 3.0.0), tibble, tune, vdiffr, withr, workflows, yardstick
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-10 20:07:48 UTC; andres
Author: Andres Vidal [aut, cre, cph], Natalia da Silva [aut]
Maintainer: Andres Vidal <andres@andresvidal.dev>
Repository: CRAN
Date/Publication: 2026-07-19 13:10:07 UTC

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New package MergeKmeans with initial version 0.2.0
Package: MergeKmeans
Title: Clustering Large Datasets by Merging K-Means Solutions
Version: 0.2.0
Description: Fast clustering of large datasets by hierarchically merging components of a K-means solution based on the pairwise overlap between the Gaussian mixture components implied by the K-means partition, as proposed by Melnykov and Michael (2020) <doi:10.1007/s00357-019-09314-8>. Implements the DEMP-K merging algorithm with single, Ward's, average, and complete linkages, the overlap map display for selecting the number of clusters, four K-means variants corresponding to Gaussian mixtures with spherical or elliptical, homoscedastic or heteroscedastic components, and a tool for selecting the number of K-means components.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats, graphics, grDevices, utils, parallel
Suggests: CompQuadForm, MixSim, mclust, broom, tibble, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-10 00:45:47 UTC; donga2
Author: Aqi Dong [aut, cre] , Volodymyr Melnykov [aut], Yang-Li Liao [aut], Peng Li [aut], Xuejian Li [aut]
Maintainer: Aqi Dong <donga2@erau.edu>
Repository: CRAN
Date/Publication: 2026-07-19 13:20:07 UTC

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New package magicrect with initial version 1.0.0
Package: magicrect
Title: Construct Magic Rectangles and Nearly Magic Rectangles
Version: 1.0.0
Description: Constructs a magic rectangle or a nearly magic rectangle of order p x q for every order for which one exists, together with existence classification and verification utilities. A magic rectangle arranges the integers 1 to p*q so that all row sums are equal and all column sums are equal; it exists exactly when p and q have the same parity, excluding 2 x 2 and degenerate single-row/column cases (Hagedorn, 1999, <doi:10.1016/S0012-365X(99)00041-2>). When p and q have opposite parity a nearly magic rectangle exists instead, with constant sums along one direction and sums differing by at most one along the other (Chai, Singh and Stufken, 2019, Journal of Combinatorial Designs 27(6), 368-376). Implements the constructions of De Los Reyes, Das, Midha and Vellaisamy (2009) for even by even orders, Chai, Das and Midha (2013) for odd by odd orders, and Chai, Singh and Stufken (2019) for the nearly magic (even by odd) case.
License: MIT + file LICENSE
URL: https://github.com/Arijitray2/magic-rectangles, https://arijitray2.github.io/magic-rectangles/
BugReports: https://github.com/Arijitray2/magic-rectangles/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-10 15:54:51 UTC; root
Author: Arijit Ray [aut, cre]
Maintainer: Arijit Ray <ray.asokekumar@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 13:10:13 UTC

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New package hawkinR with initial version 2.0.0
Package: hawkinR
Title: Interface to the 'Hawkin Dynamics' Force Platform API
Version: 2.0.0
Description: Provides a secure and configurable interface to the 'Hawkin Dynamics' API for accessing athlete performance data, tests, and metadata. The package supports profile-based authentication with secure credential storage via the operating system keychain, automatic access token refresh, and region-aware API routing. Designed for reproducible analysis, data synchronization workflows, and production deployment.
URL: https://connect.hawkindynamics.com/r, https://github.com/HawkinDynamics/hawkinR, https://hawkindynamics.github.io/hawkinR/
BugReports: https://github.com/HawkinDynamics/hawkinR/issues
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: S7, dplyr (>= 0.7.4), jsonlite (>= 1.8.7), lubridate (>= 1.9.2), magrittr (>= 2.0.3), rlang (>= 1.1.1), keyring, janitor (>= 2.2.0), stats, httr2 (>= 1.0.1), logger (>= 0.3.0), stringr (>= 1.4.0), tidyselect (>= 1.2.1), progress
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mockery, withr, crayon, httpuv, arrow
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-11 00:36:23 UTC; LaurenGreen
Author: Lauren Green [aut, cre]
Maintainer: Lauren Green <lauren@hawkindynamics.com>
Repository: CRAN
Date/Publication: 2026-07-19 13:20:02 UTC

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New package ggtwotone with initial version 0.1.0
Package: ggtwotone
Title: Dual-Tone and Contrast-Aware 'ggplot2' Geoms
Version: 0.1.0
Description: Provides dual-stroke and contrast-aware extensions to 'ggplot2', designed for improved visibility and accessibility in complex visualizations. Includes geoms for dual-stroke segments, regression lines, curved annotations, function plots, paths, and adaptive text. Also includes utility functions for computing contrast-aware color pairs and perceptually distinct highlight palettes using Web Content Accessibility Guidelines (WCAG)-based contrast logic.
License: MIT + file LICENSE
URL: https://github.com/bwanniarachchige2/ggtwotone
BugReports: https://github.com/bwanniarachchige2/ggtwotone/issues
Depends: R (>= 4.1.0), ggplot2 (>= 4.0.3)
Imports: colorspace (>= 2.1.2), farver (>= 2.1.2), grDevices (>= 4.5.2), grid (>= 4.5.2), methods (>= 4.5.2), rlang (>= 1.1.7), stats (>= 4.5.2), tidyr (>= 1.3.2), utils (>= 4.5.2)
Suggests: dplyr, knitr, rmarkdown, scales, spelling, testthat (>= 3.0.0), vdiffr
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-10 21:29:22 UTC; beenusareena
Author: Beenu Sareena [aut, cre] , Heike Hofmann [aut]
Maintainer: Beenu Sareena <79365709@nebraska.edu>
Repository: CRAN
Date/Publication: 2026-07-19 13:10:18 UTC

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New package ssBartik with initial version 0.1.1
Package: ssBartik
Title: End-to-End Pipeline for Shift-Share (Bartik) Instrumental Variables
Version: 0.1.1
Description: Construction, diagnostics, estimation, exposure-robust inference and publication-ready visualisation for shift-share (Bartik) instrumental variable designs, in one consistent workflow. Organised around the two identification routes of the modern literature. The exogenous share approach refers to Goldsmith-Pinkham, Sorkin and Swift (2020) <doi:10.1257/aer.20181047> and the exogenous shift approach refers to Borusyak, Hull and Jaravel (2022) <doi:10.1093/restud/rdab030> and Adao, Kolesar and Morales (2019) <doi:10.1093/qje/qjz025>. Wraps 'ShiftShareSE' for exposure-robust inference when available.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2 (>= 3.5.0), grDevices, grid, stats, utils
Suggests: ShiftShareSE, testthat (>= 3.0.0)
URL: https://github.com/takuma1102/ssBartik, https://takuma1102.github.io/ssBartik/
BugReports: https://github.com/takuma1102/ssBartik/issues
NeedsCompilation: no
Packaged: 2026-07-09 18:33:11 UTC; 81809
Author: Takuma Iwasaki [aut, cre]
Maintainer: Takuma Iwasaki <iwasakit@stanford.edu>
Repository: CRAN
Date/Publication: 2026-07-19 12:30:02 UTC

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New package srsbench with initial version 0.1
Package: srsbench
Title: Evaluation Metrics for Spaced Repetition Schedulers
Version: 0.1
Description: Calibration and discrimination metrics for spaced-repetition memory models. Provides the sample-weighted binned root mean squared error (RMSE(bins)) used to rank schedulers in the open spaced repetition benchmark, together with log loss, the area under the ROC curve, and calibration curves.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/chrislongros/srsbench
BugReports: https://github.com/chrislongros/srsbench/issues
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-07-09 17:53:47 UTC; chris
Author: Christos Longros [aut, cre]
Maintainer: Christos Longros <chris.longros@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 12:20:02 UTC

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New package simOutrank with initial version 0.3.0
Package: simOutrank
Title: Outranking-Based Trace Clustering
Version: 0.3.0
Description: Implements outranking-based trace clustering for process mining. Pairwise similarity between traces is assessed on multiple, problem-specific criteria using ELECTRE-III-style partial concordance and discordance indices with indifference, similarity and veto thresholds. The aggregated credibility matrix is then clustered using normalized spectral clustering or hierarchical clustering. Also includes outlier trimming, must-link/cannot-link adjustments, validation indices and diagnostic plots.
License: GPL-3
Encoding: UTF-8
Language: en-GB
Imports: graphics, lpSolve, stats, stringdist
Suggests: bupaR, clValid, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/pdelias/simOutrank, https://pdelias.github.io/simOutrank/
BugReports: https://github.com/pdelias/simOutrank/issues
NeedsCompilation: no
Packaged: 2026-07-10 13:48:26 UTC; pavlos
Author: Pavlos Delias [aut, cre]
Maintainer: Pavlos Delias <pavlos.delias@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 13:00:02 UTC

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New package sddr with initial version 0.1.1
Package: sddr
Title: Spatial Distribution Dynamics
Version: 0.1.1
Description: A tidy toolkit for distribution dynamics: analysing how a cross-sectional distribution of values evolves over time and where it settles in the long run. Provides discrete-time, spatial, rank and local indicator of spatial association ('LISA') Markov transition estimation, ergodic analysis (steady-state, mean first passage and sojourn times), rank-mobility measures (Kendall's tau and the Theta statistic) and Markov mobility indices. Methods use long-format 'id'/'time'/'value' data rather than transition matrices and build on the distribution-dynamics literature (Quah (1993); Rey (2001) <doi:10.1111/j.1538-4632.2001.tb00444.x>). Results are validated for numerical parity against the reference 'giddy' library.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: reticulate, spdep, testthat (>= 3.0.0)
URL: https://github.com/mqfarooqi1/sddr
BugReports: https://github.com/mqfarooqi1/sddr/issues
NeedsCompilation: no
Packaged: 2026-07-09 22:34:40 UTC; faroo
Author: Muhammad Farooqi [aut, cre]
Maintainer: Muhammad Farooqi <mqfarooqi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 12:40:02 UTC

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New package Rcppautodiff with initial version 0.1.0
Package: Rcppautodiff
Title: An Interface to the C++ Automatic Differentiation Library 'autodiff'
Version: 0.1.0
Date: 2026-06-27
Maintainer: Satyaprakash Nayak <satyaprakash.nayak@gmail.com>
URL: https://github.com/sn248/Rcppautodiff, https://sn248.github.io/Rcppautodiff/
BugReports: https://github.com/sn248/Rcppautodiff/issues
Description: Provides an interface from R to the 'autodiff' library <https://autodiff.github.io/>, a modern header-only C++ library for automatic differentiation. Unlike numerical differentiation, automatic differentiation computes derivatives of functions to machine precision without truncation error, using either forward or reverse mode. The 'autodiff' header files are shipped with this package so that other R packages can use them by including 'Rcppautodiff' in the 'LinkingTo' field of their 'DESCRIPTION' file. Example programs demonstrate computing derivatives of single-variable and multi-variable functions, gradient vectors, Jacobian matrices and derivatives with respect to parameters, using 'Rcpp' and 'RcppEigen'.
License: GPL (>= 2)
Suggests: knitr, rmarkdown, tinytest
Encoding: UTF-8
Imports: Rcpp (>= 1.0.8.3), RcppEigen
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-09 23:00:58 UTC; quantilogy
Author: Satyaprakash Nayak [aut, cre]
Repository: CRAN
Date/Publication: 2026-07-19 12:40:08 UTC

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New package osscontribs with initial version 0.1.0
Package: osscontribs
Title: Commit and Contributor Statistics for Major Open Source Projects
Version: 0.1.0
Description: Over 30 years of daily commit activity and contributor growth for 'FreeBSD', 'OpenBSD', 'NetBSD', and 'PostgreSQL'. Built from cloned git repositories for complete coverage -- not limited by API quotas. Includes daily commits, daily new committers, weekly aggregates, and 'Phabricator' sign-up data. Designed for time series analysis, growth modeling, and cross-project comparison. Contains no personal data.
License: CC0
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
URL: https://github.com/chrislongros/osscontribs
BugReports: https://github.com/chrislongros/osscontribs/issues
NeedsCompilation: no
Packaged: 2026-07-09 17:45:05 UTC; root
Author: Christos Longros [aut, cre]
Maintainer: Christos Longros <chris.longros@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 12:30:09 UTC

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New package blueterra with initial version 0.1.0
Package: blueterra
Title: Process-Oriented Geomorphometry for Submerged Terrain
Version: 0.1.0
Description: Derives, organizes, summarizes, and visualizes terrain metrics from bathymetric and elevation rasters for submerged-landscape geomorphometry. Tools support terra-based raster preparation, slope and aspect decomposition, terrain position, rugosity, curvature, depth-band summaries, transect extraction, isobath-corridor analysis, and model-ready summaries for seafloor classification, habitat mapping, shelf-margin analysis, and spatial modeling. Methodological context for geomorphometric terrain analysis is provided by Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.
License: MIT + file LICENSE
URL: https://el-cordero.github.io/blueterra/, https://github.com/el-cordero/blueterra
BugReports: https://github.com/el-cordero/blueterra/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, dplyr, rlang, stats, terra, tibble, utils
Suggests: exactextractr, ggplot2, knitr, lintr, pkgdown, rmarkdown, sf, testthat (>= 3.0.0), units, xml2
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-10 14:52:07 UTC; ec
Author: Elvin Cordero [aut, cre], SeaMount Geospatial Labs [cph]
Maintainer: Elvin Cordero <elvin.cordero@seamountgeo.com>
Repository: CRAN
Date/Publication: 2026-07-19 13:00:07 UTC

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Fri, 17 Jul 2026

New package stargazer2 with initial version 0.1.0
Package: stargazer2
Title: Beautiful Regression Tables for Modern Econometrics Packages
Version: 0.1.0
Date: 2026-06-30
Description: Produces publication-quality LaTeX, ASCII, and HTML regression tables. Designed as a drop-in replacement for the 'stargazer' package for 'lm' and 'glm' models, with added native support for 'fixest', 'plm', and 'alpaca' objects including automatic fixed-effect and random-effect indicator rows and SE-type detection. Standard errors can be supplied as variance-covariance matrices, numeric vectors, or auto-extracted from supported model objects. Follows the interface of Hlavac (2022) <https://CRAN.R-project.org/package=stargazer>.
License: GPL-3
Encoding: UTF-8
Imports: stats
Suggests: fixest (>= 0.11.0), alpaca, plm, sandwich, wooldridge, stargazer, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-09 12:50:53 UTC; tzylkin
Author: Tom Zylkin [aut, cre]
Maintainer: Tom Zylkin <tzylkin@richmond.edu>
Repository: CRAN
Date/Publication: 2026-07-17 14:20:02 UTC

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New package hood2net with initial version 1.0.0
Package: hood2net
Title: Create a Language Network from Neighborhoods of Words
Version: 1.0.0
Description: Input a list of words and/or their phonological transcriptions and this package creates a language network based on their neighborhood structure. First, the phonological/orthographic neighbors for each item in the list are identified based on various definitions of a neighbor (e.g., edit-distance (substitution, deletion, or addition), substitution-only; distance size (1-edit or more); based on single characters or segments indicated by separators) and summarizes this information in an 'igraph' network object for subsequent analyses. For more details see Luce & Pisoni (1998) <doi:10.1097/00003446-199802000-00001> and Vitevitch (2008) <doi:10.1044/1092-4388(2008/030)>. Helper functions for extracting network metrics, neighbors, and other information from the language network are provided. This package is intended for psycholinguists interested in modeling language networks and word neighborhoods in various languages.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: igraph, Rcpp, stringdist
Depends: R (>= 4.1.0)
LazyData: true
LinkingTo: Rcpp
NeedsCompilation: yes
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://csqsiew.github.io/hood2net/
Packaged: 2026-07-09 07:24:39 UTC; cynthia
Author: Cynthia Siew [aut, cre, cph]
Maintainer: Cynthia Siew <cynthia.siew@mailfence.com>
Repository: CRAN
Date/Publication: 2026-07-17 14:10:07 UTC

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New package flexstanr with initial version 0.1.0
Package: flexstanr
Title: Portable Backend Layer for 'Stan' Models
Version: 0.1.0
Description: Gives a 'Stan'-based R package one interface for fitting its models through either 'rstan' or (optionally) 'cmdstanr'. Collects and validates sampler options, guarding against mixing one backend's argument vocabulary into the other, dispatches the fit to the chosen backend, and exposes backend-agnostic accessors for reading posterior draws, extracting parameters, and running generated quantities. The host package supplies its own compiled models; flexstanr resolves them from the calling package at run time, so the same code works whichever backend is installed.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: methods, rstan (>= 2.18.1), tools
Suggests: cmdstanr, desc, knitr, posterior, rmarkdown, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Additional_repositories: https://stan-dev.r-universe.dev
URL: https://accidda.github.io/flexstanr/, https://github.com/ACCIDDA/flexstanr
BugReports: https://github.com/ACCIDDA/flexstanr/issues
NeedsCompilation: no
Packaged: 2026-07-09 14:03:27 UTC; runner
Author: Carl Pearson [aut, cre] , Weston Voglesonger [aut]
Maintainer: Carl Pearson <carl.ab.pearson@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 14:20:08 UTC

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New package UniCensor with initial version 0.1.0
Package: UniCensor
Title: Reproducible Random Samples Under Univariate Censoring Schemes
Version: 0.1.0
Description: Generates reproducible random samples from any user-specified univariate distribution under a comprehensive suite of censoring and truncation schemes. Users supply the probability density function (PDF), cumulative distribution function (CDF), survival function, support bounds, and parameters; the same seed and inputs yield identical samples across sessions. Supported schemes include right and left truncation, random, right, left, interval, and middle censoring, block random censoring, balanced joint progressive Type-II (BJPT-II), progressive first failure, joint Type-I, Type-I, Type-II, progressive Type-II, Type-II progressively hybrid, joint Type-II, hybrid, hybrid Type-I, doubly Type-II, Type-I hybrid, and hybrid Type-II censoring. Diagnostic histogram, dot plot, and autocorrelation plots are provided for each scheme to verify distributional behaviour. Methods are described in Nagar, Kumar, and Krishna (2026) <doi:10.59467/IJASS.2026.22.1>, Goel, Kumar, and Krishna (2026, "E [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: graphics, stats
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-08 23:26:00 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 13:40:08 UTC

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New package riemannianStats with initial version 0.1.1
Package: riemannianStats
Title: Riemannian Statistics for Dimensionality Reduction and Visualization
Version: 0.1.1
Description: Provides tools for applying statistical methods on Riemannian manifolds using local geometry derived from Uniform Manifold Approximation and Projection (UMAP). The package enables dimensionality reduction, visualization, and analysis of complex data through Riemannian versions of principal component analysis and related multivariate methods. Methods are based on McInnes et al. (2018) <doi:10.21105/joss.00861>.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: rlang, ggplot2, ggrepel, grid, uwot
Suggests: scatterplot3d, plotly, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-08 16:34:20 UTC; r3291508
Author: Oldemar Rodriguez Rojas [aut, cre], Jennifer Lobo Vasquez [aut]
Maintainer: Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2026-07-17 13:20:02 UTC

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New package nhanesR with initial version 0.1.5
Package: nhanesR
Title: Download, Parse, and Analyze NHANES Data with Mortality Linkage
Version: 0.1.5
Description: Provides tools for downloading and organizing National Health and Nutrition Examination Survey (NHANES) public-use data files and the National Center for Health Statistics (NCHS) Public-Use Linked Mortality Files (LMF). Supports structured local caching, codebook access, survey-aware merging, and preparation of survival analysis datasets using NHANES-National Death Index (NDI) linked mortality data (follow-up through December 31, 2019). NHANES methodology is described at <https://wwwn.cdc.gov/nchs/nhanes/Default.aspx>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), haven (>= 2.5.0), readr (>= 2.1.0), rlang (>= 1.1.0), cli (>= 3.6.0), tools
Suggests: foreign, survey, survival, rvest, Hmisc, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://dwinsemius.github.io/nhanesR/, https://github.com/dwinsemius/nhanesR
BugReports: https://github.com/dwinsemius/nhanesR/issues
NeedsCompilation: no
Packaged: 2026-07-08 16:44:48 UTC; dwinsemius
Author: David Winsemius [aut, cre]
Maintainer: David Winsemius <dwinsemius@comcast.net>
Repository: CRAN
Date/Publication: 2026-07-17 13:10:02 UTC

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New package lingamr with initial version 0.1.2
Package: lingamr
Title: 'LiNGAM' Algorithms for Causal Discovery
Version: 0.1.2
Description: R implementation of 'LiNGAM' (Linear Non-Gaussian Acyclic Model) algorithms for causal discovery, following Shimizu et al. (2011) <https://www.jmlr.org/papers/v12/shimizu11a.html>. Based on the 'Python' implementation by Ikeuchi et al. (2023) <https://github.com/cdt15/lingam>. The 'VAR-LiNGAM' residual diagnostics are inspired by the 'VARLiNGAM' R code of Moneta et al. <https://sites.google.com/site/dorisentner/publications/VARLiNGAM>.
License: MIT + file LICENSE
URL: https://github.com/morimotoosamu/lingamr, https://morimotoosamu.github.io/lingamr/
BugReports: https://github.com/morimotoosamu/lingamr/issues
Depends: R (>= 4.1.0)
Imports: generics, grDevices, parallel, stats, utils
Suggests: DiagrammeR, ggplot2, glmnet, igraph, knitr, lavaan, mice, nortest, pcalg, rmarkdown, spelling, testthat (>= 3.0.0), tseries
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-08 17:03:11 UTC; morimoto.osamu
Author: Osamu Morimoto [aut, cre, cph], T. Ikeuchi [cph], G. Haraoka [cph], M. Ide [cph], W. Kurebayashi [cph], S. Shimizu [cph]
Maintainer: Osamu Morimoto <galactic.supermarket@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 13:20:07 UTC

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New package ggsketch with initial version 2.0.0
Package: ggsketch
Title: Grammar-Native Hand-Drawn Geoms for 'ggplot2'
Version: 2.0.0
Description: Provides 'ggplot2' geoms that render with a hand-drawn, sketchy aesthetic: roughened strokes, double-pass lines, and hachure, cross-hatch, zigzag, and dots fill patterns. Implemented as pure-R 'grid' grobs wrapped in 'ggproto' geoms, composable with aes(), stats, scales, and faceting. Works on every R graphics device (PDF, PNG, SVG, screen) with no browser dependency. Algorithms are reimplemented from the published 'rough.js' algorithm description (Shihn, 2020, <https://shihn.ca/posts/2020/roughjs-algorithms/>) and Wood and others (2012, <doi:10.1109/TVCG.2012.262>); see the NOTICE file in the package sources for attribution.
License: MIT + file LICENSE
URL: https://github.com/orijitghosh/ggsketch, https://orijitghosh.github.io/ggsketch/
BugReports: https://github.com/orijitghosh/ggsketch/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), ggplot2 (>= 3.5.0), grDevices, grid, rlang (>= 1.0.0), scales (>= 1.2.0), withr (>= 2.5.0)
Suggests: gganimate, gifski, hexbin, igraph, knitr, magick, MASS, patchwork, quantreg, ragg, rmarkdown, sf, svglite, systemfonts, testthat (>= 3.0.0), vdiffr (>= 1.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-09 01:21:33 UTC; ariji
Author: Arijit Ghosh [aut, cre]
Maintainer: Arijit Ghosh <arijitghosh2009@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 14:00:07 UTC

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New package sybilion with initial version 0.1.0
Package: sybilion
Title: Official R Client for the 'Sybilion' API
Version: 0.1.0
Description: Wrapper and generated client for the 'Sybilion' Developers Portal API (forecasts, drivers, catalog, usage). Authenticate with an API key using 'Authorization: Bearer'. See <https://sybilion.dev/docs/>.
URL: https://sybilion.dev/docs/
BugReports: https://sybilion.dev/docs/
Depends: R (>= 4.1.0)
Encoding: UTF-8
License: Apache License (>= 2)
Suggests: testthat, roxygen2
Imports: jsonlite, httr2, R6, base64enc, stringr
NeedsCompilation: no
Packaged: 2026-07-08 14:49:11 UTC; sybilion
Author: Sybilion [aut, cre, cph]
Maintainer: Sybilion <support@sybilion.com>
Repository: CRAN
Date/Publication: 2026-07-17 12:50:02 UTC

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New package ggadjustedforest with initial version 0.1.0
Package: ggadjustedforest
Title: Publication Ready Forest Plots for Estimand of Interest
Version: 0.1.0
Description: Creates publication-quality forest plots and effect-size tables that display only the unadjusted and adjusted estimates for a user-specified exposure variable of interest, hiding confounder coefficients in accordance with causal inference principles. Supports logistic, linear, Poisson, and Cox proportional hazards models, with optional cumulative-adjustment visualisation. Built on 'ggplot2' and follows the tidyverse design philosophy.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), rlang (>= 1.1.0), broom (>= 1.0.0), survival (>= 3.5.0), patchwork (>= 1.2.0), scales (>= 1.3.0), tibble (>= 3.2.0)
Suggests: sandwich, lmtest, testthat (>= 3.0.0), knitr, rmarkdown, finalfit
VignetteBuilder: knitr
URL: https://github.com/kriz98/gg_adjusted_forest
BugReports: https://github.com/kriz98/gg_adjusted_forest/issues
NeedsCompilation: no
Packaged: 2026-07-08 13:50:14 UTC; cvar706
Author: Chris Varghese [aut, cre]
Maintainer: Chris Varghese <chris.varghese@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2026-07-17 12:40:02 UTC

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New package dsn with initial version 0.1.0
Package: dsn
Title: Data Source Name and Description Helpers for Use with 'GDAL'
Version: 0.1.0
Description: Simple helpers for 'GDAL' data source names ('DSN'), prefix and suffix and other handling. 'GDAL' is the Geospatial Data Abstraction Library <https://gdal.org/>, not used by this package directly.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/hypertidy/dsn, https://hypertidy.github.io/dsn/
BugReports: https://github.com/hypertidy/dsn/issues
NeedsCompilation: yes
Packaged: 2026-07-08 15:39:06 UTC; mdsumner
Author: Michael Sumner [aut, cre], Matt Dowle [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 12:50:24 UTC

More information about dsn at CRAN
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New package AGCA4extremes with initial version 0.1.0
Package: AGCA4extremes
Title: Anchored Geodesic Component Analysis for Extremes
Version: 0.1.0
Description: Implements anchored geodesic component analysis for multivariate extremes. The package provides Pareto and rank-Pareto marginal standardization, top-k angular extraction, anchored eigensolutions, reconstruction, diagnostics, nonparametric bootstrap tools, and plotting methods for benchmark-relative angular variation.
License: GPL-3
SystemRequirements: C++17
URL: https://github.com/a91quaini/AGCA4extremes
BugReports: https://github.com/a91quaini/AGCA4extremes/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: graphics, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-07-08 16:49:20 UTC; albertoquaini
Author: Alberto Quaini [aut, cre]
Maintainer: Alberto Quaini <alberto91quaini@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 13:00:02 UTC

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Thu, 16 Jul 2026

New package easieRnmt with initial version 0.0.5
Package: easieRnmt
Title: Local Machine-Translation with 'EasyNMT' from 'R'
Version: 0.0.5
Description: 'R' wrapper around the 'Python' library 'EasyNMT', enabling easy-to-use, local, reproducible machine translation. Supports translation between multiple language pairs. The package takes care of preprocessing and language detection using 'fastText' from 'R'. 'Python' backend and installation of 'PyTorch' is handled by 'reticulate' and 'uv'.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/thieled/easieRnmt
BugReports: https://github.com/thieled/easieRnmt/issues
Imports: cli, data.table, emoji, fastText, pbapply, reticulate, stringi, stringr, textclean, tokenizers
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-07-08 14:32:55 UTC; Daniel
Author: Daniel Thiele [aut, cre]
Maintainer: Daniel Thiele <daniel.thiele@fu-berlin.de>
Repository: CRAN
Date/Publication: 2026-07-16 14:10:21 UTC

More information about easieRnmt at CRAN
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New package Saylac with initial version 0.1.3
Package: Saylac
Title: Spatial Analysis of Yearly, Longitudinal, and Areal Change
Version: 0.1.3
Author: Abdisalam Hassan Muse [aut, cre]
Maintainer: Abdisalam Hassan Muse <abdisalam.hassan@amoud.edu.so>
Description: Provides the Saylac Shiny application for multidisciplinary analysis of global, national, and regional indicators observed across places and years. SAYLAC abbreviates Spatial Analysis of Yearly, Longitudinal, and Areal Change. The platform supports spatial diagnostics, longitudinal data exploration, time-series diagnostics, comparative forecasting, and automated reporting for development, health, education, economic, environmental, and social indicators. The application implements three connected modules: Spatial Analysis Workflow for exploratory spatial data analysis, Single Model Diagnostics for stationarity testing, trend diagnostics, and comparative forecasting, and Spatial Uncertainty and Reporting Analysis Dashboard for forecast mapping, spatial clustering, and reporting. The application supports choropleth mapping, Moran's I, Geary's C, Local Indicators of Spatial Association, Getis-Ord Gi star statistics, spatial correlograms, Theil-Sen trend estimation, Mann-Kendall testing, A [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.2.0)
Imports: bs4Dash, classInt, cowplot, DT, forecast, ggplot2, maps, Metrics, nnfor, patchwork, RColorBrewer, readr, rmarkdown, rnaturalearth, sf, shiny, spdep, stringr, tidyverse, trend, tseries, zoo
Suggests: testthat (>= 3.0.0), knitr
URL: https://muse252.shinyapps.io/Saylac_Shiny_App_Ready/
NeedsCompilation: no
Packaged: 2026-07-08 01:05:00 UTC; root
Repository: CRAN
Date/Publication: 2026-07-16 13:30:08 UTC

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New package retentionflow with initial version 0.1.25
Package: retentionflow
Title: Retention Flow Tables and Sankey Diagrams
Version: 0.1.25
Author: Alexander Nanni [aut, cre]
Maintainer: Alexander Nanni <alexander.nanni@gmail.com>
Description: Creates transition tables, summaries, and interactive Sankey diagrams from longitudinal person-term-state data. Sankey diagrams visualize flows between states with link widths proportional to flow counts; see Kennedy and Sankey (1898) "The Thermal Efficiency of Steam Engines" <doi:10.1680/imotp.1898.19100> and Schmidt (2008) "The Sankey Diagram in Energy and Material Flow Management: Part I: History" <doi:10.1111/j.1530-9290.2008.00004.x>. The minimum input schema is one row per person per term with an identifier, term, and categorical state.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: htmlwidgets, plotly, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-08 01:08:18 UTC; alexandernanni
Repository: CRAN
Date/Publication: 2026-07-16 13:40:02 UTC

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New package rdtools with initial version 0.1.0
Package: rdtools
Title: Efficient Manipulation of 'Rd' Files and Help Topics
Version: 0.1.0
Description: Provides fast, cached lookup of help topics and aliases across installed, source, and in-development packages, plus efficient retrieval of parsed 'Rd' ('R' documentation) objects. Per-package indexes are built once and cached, making repeated retrieval cheap enough to call in a tight loop.
License: MIT + file LICENSE
URL: https://rdtools.r-lib.org, https://github.com/r-lib/rdtools
BugReports: https://github.com/r-lib/rdtools/issues
Depends: R (>= 4.0)
Imports: stats, tools
Suggests: testthat (>= 3.0.0), withr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-07 19:24:27 UTC; hadleywickham
Author: Hadley Wickham [aut, cre, cph] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>
Repository: CRAN
Date/Publication: 2026-07-16 13:20:02 UTC

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New package modelimportance with initial version 0.1.0
Package: modelimportance
Title: Measuring Contributions of Component Models to Ensemble Forecast Accuracy
Version: 0.1.0
Description: Provides metrics for quantifying the contribution of individual component models to the predictive accuracy of ensemble forecasts. The package implements the Leave-One-Model-Out (LOMO) and Leave-All-Subset-of-One-Model-Out (LASOMO) model importance metrics, enabling users to assess the relative importance of component models and better understand the performance of ensemble forecasting systems. Methods are described in Kim et al. (2026) <doi:10.1016/j.ijforecast.2025.12.006>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: hubUtils (>= 0.4.0), dplyr (>= 1.1.4), hubEvals (>= 0.3.0), hubEnsembles (>= 0.1.9), methods (>= 4.4.3), purrr (>= 1.0.4), furrr (>= 0.3.1), future (>= 1.49.0), checkmate (>= 2.3.3), rlang (>= 1.1.6), stats (>= 4.4.3)
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, tidyr (>= 1.3.1), kableExtra (>= 1.4.0), ggplot2 (>= 4.0.1), scoringutils (>= 2.1.2), testthat (>= 3.0.0), progressr (>= 0.15.1)
VignetteBuilder: knitr
URL: https://github.com/mkim425/modelimportance
BugReports: https://github.com/mkim425/modelimportance/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-07 19:49:42 UTC; minsukim
Author: Minsu Kim [aut, cre, cph] , Li Shandross [aut, ctb] , Zhian Kamvar [ctb] , Nicholas Reich [aut] , Evan Ray [aut]
Maintainer: Minsu Kim <minsu@umass.edu>
Repository: CRAN
Date/Publication: 2026-07-16 13:30:02 UTC

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New package mixqrgate with initial version 0.1.2
Package: mixqrgate
Title: Location-Varying Gating for Mixtures of Quantile Regressions
Version: 0.1.2
Description: Extends finite mixtures of quantile regressions (the 'mixqr' package) with a concomitant-covariate, quantile-indexed mixing gate. The mixing probabilities follow a multinomial-logit model whose coefficients may depend on a separate set of gating covariates and on the quantile level, so that latent-class membership can change across the conditional distribution. This turns the location-varying mixing idea of Furno (2025) into a likelihood and EM object with proper standard errors on the gate. Estimation reuses the 'mixqr' component and error-density machinery; the gate is fit by a weighted multinomial-logistic M-step and reduces exactly to a constant gate when the gating model is an intercept only.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: mixqr (>= 0.1.1), stats, graphics
Suggests: nnet, ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/kvenkita/mixqrgate
BugReports: https://github.com/kvenkita/mixqrgate/issues
NeedsCompilation: no
Packaged: 2026-07-07 16:00:26 UTC; kyle
Author: Kailas Venkitasubramanian [aut, cre, cph]
Maintainer: Kailas Venkitasubramanian <kailasv@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-16 13:20:07 UTC

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New package minex with initial version 0.1.0
Package: minex
Title: Automatically Reduce Failing R Scripts to a Minimal Reproducible Example
Version: 0.1.0
Description: Shrinks a failing R script to the smallest subset of statements that still triggers the same error, using the delta debugging algorithm of Zeller and Hildebrandt (2002) <doi:10.1109/32.988498>. Each candidate reduction is evaluated in a separate R process, so dependencies between statements and their side effects are respected. The result is a one-minimal example, in which removing any remaining statement makes the error disappear; this is the form most useful for bug reports and for questions on community forums. A general delta debugging routine and a helper for reducing data frames to the rows that reproduce a failure are also provided.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: callr
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/DIGlabUAB/minex
BugReports: https://github.com/DIGlabUAB/minex/issues
NeedsCompilation: no
Packaged: 2026-07-08 10:23:21 UTC; boddu
Author: Sandeep Bodduluri [aut, cre, cph]
Maintainer: Sandeep Bodduluri <sbodduluri@uabmc.edu>
Repository: CRAN
Date/Publication: 2026-07-16 14:00:31 UTC

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New package imputeCGM with initial version 0.0.3
Package: imputeCGM
Title: Impute Missing Glucose Values in CGM Data
Version: 0.0.3
Description: Imputes missing glucose values in repeated-measures continuous glucose monitoring (CGM) data. Workflows create time-series features from raw timestamps, support model selection, and return the user's original columns plus an imputed glucose column. Methods include multiple imputation by chained equations using 'mice' (Azur et al. (2011) <doi:10.1002/mpr.329>), Random Forest regression using 'ranger' (Breiman (2001) <doi:10.1023/A:1010933404324>), k-nearest-neighbor regression using 'FNN' (Zhang (2016) <doi:10.21037/atm.2016.03.37>), 'XGBoost' using 'xgboost' (Chen and Guestrin (2016) <doi:10.1145/2939672.2939785>), 'LightGBM' using 'lightgbm' (Ke et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>), and ARIMA forecasting using 'forecast' (Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>). A 'Python'-compatible backend uses 'reticulate' to call 'pandas', 'scikit-learn', 'statsmodels', 'xgboo [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: mice, FNN, ranger, data.table, xgboost, lightgbm, forecast, CGManalyzer, lifecycle, reticulate, shiny
Suggests: testthat (>= 3.0.0), spelling, knitr, rmarkdown
NeedsCompilation: no
Language: en-US
URL: https://zhanglabuky.github.io/imputeCGMR/, https://github.com/ZhangLabUKY/imputeCGMR
BugReports: https://github.com/ZhangLabUKY/imputeCGMR/issues
LazyData: true
VignetteBuilder: knitr
Packaged: 2026-07-08 01:15:09 UTC; ssa390
Author: Shubh Saraswat [cre, aut, cph] , Hasin Shahed Shad [aut], Xiaohua Douglas Zhang [aut]
Maintainer: Shubh Saraswat <shubh.saraswat00@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-16 13:40:08 UTC

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New package ggsnap with initial version 0.1.2
Package: ggsnap
Title: Save a 'ggplot2' Plot using '+' Operator
Version: 0.1.2
Description: Provides ggsnap(), which saves a 'ggplot2' plot to disk in a '+' chain, acting as a thin, chainable wrapper around ggplot2::ggsave(). Can be called multiple times in a chain to save different snapshots.
License: MIT + file LICENSE
Imports: ggplot2
Suggests: testthat (>= 3.0.0), png, rlang, glue, spelling
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-07 17:55:06 UTC; Or.Gadish
Author: Or Gadish [aut, cre, cph]
Maintainer: Or Gadish <orgadish@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-16 13:10:02 UTC

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New package dtametaTMB with initial version 0.1.0
Package: dtametaTMB
Title: Diagnostic Test Accuracy Meta-Analysis using Template Model Builder
Version: 0.1.0
Description: Fits the hierarchical summary receiver operating characteristic (HSROC) model of Rutter and Gatsonis (2001) <doi:10.1002/sim.942>, the bivariate binomial-normal model of Reitsma et al. (2005) <doi:10.1016/j.jclinepi.2005.02.022>, and the threshold-based bivariate time-to-event model of Hoyer et al. (2018) <doi:10.1002/jrsm.1273> using Template Model Builder (TMB). Provides subgroup analyses, HSROC meta-regression, likelihood-ratio tests, SROC plots, and coupled forest plots.
License: GPL (>= 2)
Encoding: UTF-8
Imports: forestploter, glmmTMB, grid, survival, TMB
LinkingTo: RcppEigen, TMB
Suggests: knitr, quarto, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2026-07-08 07:35:43 UTC; CNowak
Author: Claus Nowak [aut, cre]
Maintainer: Claus Nowak <claus.nowak@donau-uni.ac.at>
Repository: CRAN
Date/Publication: 2026-07-16 13:50:02 UTC

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New package ct with initial version 0.4.0
Package: ct
Title: Integrated Camera-Trap Data Management and Analysis
Version: 0.4.0
Date: 2026-06-20
Imports: activity (>= 1.3.4), dplyr (>= 1.1.4), camtrapdp, cli (>= 3.6.3), Distance (>= 2.0.0), ggplot2 (>= 3.5.2), lubridate, magrittr (>= 2.0.3), methods, overlap (>= 0.3.9), rlang (>= 1.1.5), sbd (>= 0.1.0), sf (>= 1.0-19), terra (>= 1.8-29), tibble, tidyr (>= 1.3.1), tidyselect, Rcpp (>= 1.0.14)
Maintainer: Stanislas Mahussi Gandaho <stangandaho@gmail.com>
Description: An integrated, tidyverse-friendly workflow for camera trap data in wildlife monitoring and ecological research. Reads and edits media metadata, filters independent detections, analyses activity patterns and species diversity, and estimates species density or abundance with several methods, including the random encounter model, camera-trap distance sampling, time-to-event, space-to-event, and the random encounter and staying-time model (see Rowcliffe et al. (2008) <doi:10.1111/j.1365-2664.2008.01473.x>, Howe et al. (2017) <doi:10.1111/2041-210X.12790>, Nakashima et al. (2018) <doi:10.1111/1365-2664.13059>, and Moeller et al. (2018) <doi:10.1002/ecs2.2331>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: assertr, iNEXT (>= 3.0.2), httr2, kableExtra (>= 1.4.0), knitr (>= 1.50), leaflet (>= 2.2.2), MASS, MCMCvis, msm, nimble, coda, progress, rmarkdown, shiny (>= 1.10.0), testthat (>= 3.0.0), vegan (>= 2.6-6.1), xml2
URL: https://stangandaho.github.io/ct/
BugReports: https://github.com/stangandaho/ct/issues
Depends: R (>= 3.5)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-07-07 17:39:17 UTC; ganda
Author: Stanislas Mahussi Gandaho [aut, cre] , Pablo Palencia [ctb, rev] , R Consortium [fnd]
Repository: CRAN
Date/Publication: 2026-07-16 13:10:08 UTC

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New package SidraFacil with initial version 1.0.2
Package: SidraFacil
Title: Framework for Automated Download of SIDRA IBGE Data
Version: 1.0.2
Description: Interface to the SIDRA (Sistema IBGE de Recuperação Automática) web service provided by the Brazilian Institute of Geography and Statistics (IBGE). Data are retrieved through the official API <https://apisidra.ibge.gov.br/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: sidrar, dplyr, tidyselect, svDialogs, png, grid
NeedsCompilation: no
Packaged: 2026-07-07 14:00:41 UTC; Anakainosis
Author: Samuel Amorim [aut, cre]
Maintainer: Samuel Amorim <samuelamorimdatascientist@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-07-16 13:00:16 UTC

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New package rootWishartHD with initial version 0.95.2
Package: rootWishartHD
Title: Exact and Log-Scale Tail Probabilities for Roy's Largest Root
Version: 0.95.2
Description: Provides distribution functions and log-scale tail probabilities for Roy's largest root in single and double Wishart (Jacobi ensemble) settings. This package is derived from the 'rootWishart' package by Maxime Turgeon and extends it with numerically robust log-CDF/log-survival evaluation, tail-aware adaptive precision, and high-dimensional validation utilities, based on Chiani (2014) <DOI:10.1016/j.jmva.2014.04.002> and Chiani (2016) <DOI:10.1016/j.jmva.2015.10.007>.
Depends: R (>= 4.0.0)
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
LinkingTo: Rcpp, RcppEigen, BH
Imports: Rcpp
Suggests: tinytest, knitr, rmarkdown, rWishart, corpcor
VignetteBuilder: knitr
URL: https://github.com/stepanv1/rootWishartHD
BugReports: https://github.com/stepanv1/rootWishartHD/issues
Packaged: 2026-07-07 03:04:50 UTC; sgrinek
Author: Stepan Grinek [aut, cre], Maxime Turgeon [ctb]
Maintainer: Stepan Grinek <stepan.grinek@jax.org>
Repository: CRAN
Date/Publication: 2026-07-16 12:40:02 UTC

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New package regulog with initial version 0.2.1
Package: regulog
Title: Tamper-Evident Audit Logging for Regulated Environments
Version: 0.2.1
Description: Provides tamper-evident, hash-chained audit logging for analytical applications. Every log entry is linked via an 'SHA-256' hash to its predecessor, making insertions, deletions, and modifications detectable. Covers user attribution, timestamp integrity, mandatory reason capture, chain verification, structured export, and 'shiny' session instrumentation. For more details see <https://reprostats.org/regulog/>. Suitable for any context where accountability and traceability matter: regulated environments (21 CFR Part 11, EU Annex 11), internal tooling, data pipelines, and multi-user 'shiny' applications. Ships with optional qualification scripts (IQ, OQ, PQ) for use in validated computerised systems.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: digest, jsonlite, utils
Suggests: covr, dplyr, ggplot2, haven, knitr, readr, rmarkdown, shiny, testthat (>= 3.0.0), tidyr, withr
VignetteBuilder: knitr
URL: https://reprostats.org/regulog/, https://github.com/repro-stats/regulog
BugReports: https://github.com/repro-stats/regulog/issues
NeedsCompilation: no
Packaged: 2026-07-07 13:55:53 UTC; ndohpenn
Author: Ndoh Penn [aut, cre]
Maintainer: Ndoh Penn <ndohpenn9@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-16 13:00:02 UTC

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New package prova with initial version 1.0.0
Package: prova
Title: Nonparametric Probabilistic-Statistical Variate Analysis with Automated Markov-Chain Monte Carlo
Version: 1.0.0
Description: Calculate posterior joint and conditional probabilities, probability distributions of population frequencies, and information-theoretic measures, by means of Bayesian nonparametric methods. Data imputation is automatic and done in a principled way. Markov-chain Monte Carlo calculations are automatically handled and do not require user supervision. Applications range from statistical estimation and probabilistic hypothesis testing to evidence-based inference and decision making, in a wide range of disciplines from astrophysics to medicine. For more details and examples see for instance Porta Mana et al. (2026) <doi:10.31219/osf.io/8nr56>, Dunson & Bhattacharya (2011) <doi:10.1093/acprof:oso/9780199694587.003.0005>, Lindley & Novick (1981) <doi:10.1214/aos/1176345331>, Bernardo & Smith (2000) <doi:10.1002/9780470316870>, Müller et al. (2015) <doi:10.1007/978-3-319-18968-0>. Requires the packages 'Nimble', 'parallel', 'extraDistr'.
License: AGPL (>= 3)
URL: https://pglpm.github.io/prova/, https://github.com/pglpm/prova/
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: extraDistr, parallel
Suggests: nimble (>= 1.4.2), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-07 12:26:48 UTC; pglpm
Author: PierGianLuca Porta Mana [aut, cre, cph] , Aurora Grefsrud [ctb] , Hakon Mydland [ctb] , Maksim Ohvrill [ctb], Simen Hesthamar Hauge [ctb]
Maintainer: PierGianLuca Porta Mana <pgl@portamana.org>
Repository: CRAN
Date/Publication: 2026-07-16 12:50:08 UTC

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New package nwsrfsr with initial version 1.0.0
Package: nwsrfsr
Title: NWS Hydrology Models: SAC-SMA, SNOW17, UH, CONSUSE, CHANLOSS
Version: 1.0.0
Description: Interface to the National Weather Service operational hydrology models, Sacramento Soil Moisture Accounting (SAC-SMA), Snow Accumulation and Ablation (SNOW17). Also provides an interface to the unit hydrograph routing model (UH), consumptive use (CONSUSE) and channel loss/gain modules (CHANLOSS). The Fortran code used in this package is considered "legacy" and is not supported officially by NWS, but it should not have any significant differences from current operational models.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: testthat
URL: https://github.com/NOAA-NWRFC/nwsrfs-hydro-models, https://noaa-nwrfc.github.io/nwsrfs-hydro-models/
BugReports: https://github.com/NOAA-NWRFC/nwsrfs-hydro-models/issues
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Packaged: 2026-07-07 06:11:58 UTC; brac840
Author: Cameron Bracken [aut, cre] , Geoffrey Walters [aut] , Eric Anderson [ctb] ), George F. Smith [ctb] ), Janice M. Lewis [ctb] ), John E. Pask [ctb] ; see inst/COPYRIGHTS), Ondrej Certik [ctb] , John Burkhardt [ctb] , National Oceanic and Atmospheric Ad [...truncated...]
Maintainer: Cameron Bracken <cameron.bracken@pnnl.gov>
Repository: CRAN
Date/Publication: 2026-07-16 12:40:07 UTC

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New package nQuack with initial version 1.0.4
Package: nQuack
Title: Predicting Ploidal Level from Sequence Data
Description: Predicts ploidal level from sequence data using site-based heterozygosity and a mixture models approach. See Gaynor et al. (2024) <doi:10.1002/aps3.11606>.
Version: 1.0.4
Encoding: UTF-8
Suggests: knitr, dplyr, kableExtra, rmarkdown
Imports: Rcpp (>= 1.0.11), RcppArmadillo (>= 14.0.2-1), truncdist, data.table, foreach, future, parallel, doParallel, extraDistr, RcppProgress, httr2, magrittr
LinkingTo: Rcpp, RcppArmadillo, extraDistr, RcppProgress
SystemRequirements: C++17 samtools (>= 1.10)
Depends: R (>= 4.1.0)
LazyData: true
License: GPL (>= 2)
VignetteBuilder: knitr
Maintainer: Michelle L. Gaynor <shellyleegaynor@gmail.com>
URL: http://mlgaynor.com/nQuack/, https://github.com/mgaynor1/nQuack/
BugReports: https://github.com/mgaynor1/nQuack/issues
NeedsCompilation: yes
Packaged: 2026-07-07 13:46:08 UTC; shellygaynor
Author: Michelle L. Gaynor [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-07-16 12:50:19 UTC

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New package neutroPPS with initial version 0.1.1
Package: neutroPPS
Title: Neutrosophic PPSWOR Sampling with NHT and NGREG Estimators
Version: 0.1.1
Description: Provides neutrosophic extensions of Lahiri's method to select a random sample of size n using probability proportional to size without replacement (PPSWOR) sampling. It computes the corresponding neutrosophic inclusion probabilities and provides estimates of the population total and mean using both the neutrosophic Horvitz Thompson (NHT) estimator and the neutrosophic generalized regression (NGREG) estimator and its percent relative efficiency.
License: GPL-3
Encoding: UTF-8
Language: en-US
Imports: stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Maintainer: Neha Purwar <harshitaneha27@gmail.com>
Author: Neha Purwar [aut, cre] , Kaustav Aditya [aut] , Achal Lama [aut]
Packaged: 2026-07-07 10:21:04 UTC; vikas
Repository: CRAN
Date/Publication: 2026-07-16 12:50:15 UTC

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New package lorax with initial version 0.1.0
Package: lorax
Title: Speak for the Trees
Version: 0.1.0
Description: Extracts decision rules from tree- and rule-based models fitted in 'R'. Rules are expressed as logical predicates that identify paths to terminal nodes, making model behavior more transparent and interpretable. Provides conversion methods to 'partykit' party objects for a wide range of model types. The 'partykit' infrastructure is described in Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/lorax
BugReports: https://github.com/tidymodels/lorax/issues
Depends: R (>= 4.3.0)
Imports: cli, dplyr, generics, partykit, purrr, rlang (>= 1.1.0), tibble
Suggests: aorsf, C50, Cubist, dbarts, grf, knitr, lightgbm, modeldata, palmerpenguins, randomForest, ranger, rpart, spelling, testthat (>= 3.0.0), tidyr, xgboost
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-07 13:01:15 UTC; max
Author: Max Kuhn [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Repository: CRAN
Date/Publication: 2026-07-16 12:50:25 UTC

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New package jsplyr with initial version 0.1.0
Package: jsplyr
Title: Manipulate 'JSON' Data in the Browser with a 'dplyr' Interface
Version: 0.1.0
Description: A 'dplyr' backend for 'shiny' applications that manipulates 'JSON' data in the web browser instead of on the server. Data manipulation verbs such as filter, select, mutate, summarise, arrange, and joins are evaluated lazily and translated into 'JavaScript' operations that run client-side, following the lazy evaluation approach of 'dbplyr' but generating 'JavaScript' rather than 'SQL'. Results are returned to R asynchronously as promises. This keeps data wrangling responsive for large data frames by offloading the work to the client.
License: MIT + file LICENSE
URL: https://github.com/r-world-devs/jsplyr, https://r-world-devs.github.io/jsplyr/
BugReports: https://github.com/r-world-devs/jsplyr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, dplyr, glue, htmltools, jsonlite, promises, purrr, rlang, shiny, stringr
Suggests: knitr, rmarkdown, shinytest2, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-07 06:55:45 UTC; banas
Author: Maciej Banas [cre, aut], Krystian Igras [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-16 12:40:14 UTC

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New package IsletCalc with initial version 0.0.1
Package: IsletCalc
Title: Calculators for Insulin and Glucagon Release Indices
Version: 0.0.1
Description: Facilitates the calculation of validated pancreatic islet hormone-release indices from fasting and oral glucose tolerance test (OGTT) measurements. Provides beta-cell insulin release indices (including HOMA-beta, corrected insulin response, Stumvoll first-phase index, BIGTT-AIR, and disposition indices) as described in Madsen (2024) <doi:10.1038/s42255-024-01140-6>, alongside alpha-cell glucagon release and glucagon resistance indices derived from the glucagon-suppression and liver-alpha-cell-axis literature. Enables reproducible assessment of beta-cell and alpha-cell function for metabolic and endocrine research.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/sufyansuleman/IsletCalc, https://sufyansuleman.github.io/IsletCalc/
BugReports: https://github.com/sufyansuleman/IsletCalc/issues
NeedsCompilation: no
Packaged: 2026-07-07 08:18:06 UTC; au773972
Author: Sufyan Suleman [aut, cre]
Maintainer: Sufyan Suleman <sufyansuleman@hotmail.com>
Repository: CRAN
Date/Publication: 2026-07-16 12:50:34 UTC

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New package DiscreteMorseR with initial version 1.0.0
Package: DiscreteMorseR
Title: Discrete Morse Theory for 3D Meshes Derived from Point Clouds
Version: 1.0.0
Date: 2026-07-07
Description: Ultra-fast computation of discrete Morse (Marston Morse) gradient vector fields and critical simplices (0-simplices: vertices, 1-simplices: edges, 2-simplices: faces) on 3D triangular meshes from point clouds. Provides C++ backend with parallel processing for large-scale topological analysis, including connected component analysis and visualization tools. Perfect for Light Detection and Ranging ('LiDAR') data, computational topology, and geometric analysis applications. The implementation follows Forman (1998) <doi:10.1007/PL00009307> for discrete Morse theory, with extensions for 3D mesh processing.
Language: en-US
License: MIT + file LICENSE
URL: https://github.com/DijoG/DiscreteMorseR
BugReports: https://github.com/DijoG/DiscreteMorseR/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.10), dplyr (>= 1.0.0), purrr (>= 0.3.0), stringr (>= 1.4.0), data.table (>= 1.12.0), gtools (>= 3.8.0), readr (>= 1.3.0), future (>= 1.18.0), furrr (>= 0.2.0)
Suggests: clustermq (>= 0.8.0), ggplot2 (>= 3.3.0), testthat (>= 3.0.0), knitr (>= 1.30), rmarkdown (>= 2.0), tictoc
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-07 13:50:56 UTC; Dijo
Author: Gergo Dioszegi [aut, cre, cph]
Maintainer: Gergo Dioszegi <dijogergo@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-16 12:50:40 UTC

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New package basil with initial version 0.1.0
Package: basil
Title: Survival Prediction for Severe Limb Ischaemia (BASIL Model)
Version: 0.1.0
Description: Predicts survival for patients with severe limb ischaemia using the prognostic model developed from the Bypass versus Angioplasty in Severe Ischaemia of the Leg (BASIL) trial (Bradbury and others (2010) <doi:10.1016/j.jvs.2010.01.077>). The model is an accelerated failure time Weibull regression. The package is intended for research and audit; it is not a substitute for clinical judgement and its predictions should not be used as the sole basis for clinical decisions.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/chrislongros/basil
BugReports: https://github.com/chrislongros/basil/issues
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-07-07 14:34:36 UTC; chris
Author: Christos Longros [aut, cre] , Nikolaos Papatheodorou [aut]
Maintainer: Christos Longros <chris.longros@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-16 13:00:12 UTC

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New package ahull3D with initial version 1.0.0
Package: ahull3D
Title: Fast 3D Alpha Hull with Label Propagation
Version: 1.0.0
Date: 2026-06-26
Description: Fast 3D alpha shape (alpha hull) computation with label propagation from input points to hull vertices and faces. Uses 'CGAL' for robust geometric computations. Optimized for Light Detection and Ranging ('LiDAR') processing and tree segmentation workflows. The implementation follows the alpha shape algorithm described in Edelsbrunner et al. (1983) <doi:10.1007/BF02579193>.
License: MIT + file LICENSE
URL: https://github.com/DijoG/ahull3D
BugReports: https://github.com/DijoG/ahull3D/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.8), rgl (>= 0.100.0), Rvcg (>= 0.18.0)
Suggests: RANN (>= 2.6.0), testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppEigen, RcppCGAL
SystemRequirements: C++17
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-07 11:56:47 UTC; Dijo
Author: Gergo Dioszegi [aut, cre, cph]
Maintainer: Gergo Dioszegi <dijogergo@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-16 12:50:30 UTC

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Wed, 15 Jul 2026

New package gdpar with initial version 0.1.0
Package: gdpar
Title: General Dynamic Parameter Models via Reference Anchoring
Version: 0.1.0
Description: Implements a unified predictive framework in which individual parameters are decomposed as theta_i equal to theta_ref plus Delta(x_i, theta_ref), with theta_ref a population reference and Delta an explicit deviation function. The decomposition follows the Additive-Multiplicative-Modulated canonical form and is estimated through three complementary paths: hierarchical Bayesian inference via 'Stan', varying-coefficient models via penalized splines, and amortized inference via hypernetworks in 'torch'. The package provides identifiability diagnostics, validity tests for the population reference, and benchmarks against canonical zero-inflated count datasets and avian abundance data from the eBird Status and Trends project. The framework and its estimation paths are described in Gomez Julian (2026) <doi:10.5281/zenodo.21046269>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/IsadoreNabi/gdpar
BugReports: https://github.com/IsadoreNabi/gdpar/issues
Depends: R (>= 4.2.0)
Imports: posterior, stats, methods, withr
Suggests: cmdstanr, loo, bayesplot, DHARMa, digest, mgcv, Matrix, pscl, AER, ebirdst, knitr, rmarkdown, testthat (>= 3.0.0), kableExtra, brms, INLA, rstanarm, scoringRules, gratia, grf, reticulate, mvnfast
Additional_repositories: https://stan-dev.r-universe.dev, https://inla.r-inla-download.org/R/stable
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-07 00:42:16 UTC; josemgomezj
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2026-07-15 18:10:02 UTC

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New package cusna with initial version 0.1.0
Package: cusna
Title: Native GPU-Accelerated Simulation and Estimation of Network Models
Version: 0.1.0
Author: Artem Maltsev [aut, cre]
Maintainer: Artem Maltsev <MaltsevSNA@proton.me>
Description: A self-contained native engine (a C interface over 'CUDA' kernels and C++ host logic) for stochastic actor-oriented models (the model family of 'RSiena'), exponential random graph models (cross-sectional, temporal, and separable temporal), and models for binary actor attributes, callable from R without a Python runtime. Modelled on the 'torch' package: the CRAN build is CPU-only from source; the GPU path is compiled from source when a 'CUDA' toolkit is detected at configure time. The data preparation, host statistics ('RSiena' Appendix B conventions), and moment targets are validated bit-for-bit against the reference implementation and reproduce 'RSiena' targets on public datasets to machine precision; the estimators match 'RSiena', 'ergm', 'btergm', and 'tergm' on public benchmark models.
License: MIT + file LICENSE
URL: https://github.com/artemmaltsev74-techcom/cusna
BugReports: https://github.com/artemmaltsev74-techcom/cusna/issues
Encoding: UTF-8
SystemRequirements: C++17; optionally a CUDA 12.x toolkit (nvcc) for the GPU path
LinkingTo: cpp11
Imports: stats, utils
Suggests: testthat (>= 3.0.0), jsonlite, litedown, RSiena (>= 1.4)
VignetteBuilder: litedown
NeedsCompilation: yes
Packaged: 2026-07-06 18:18:28 UTC; Artem
Repository: CRAN
Date/Publication: 2026-07-15 18:10:15 UTC

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New package tweedieDistr with initial version 0.1.0
Package: tweedieDistr
Title: Tweedie Distribution
Version: 0.1.0
Description: Provides density, distribution function, quantile function, and random generation for the Tweedie distribution under the compound Poisson-Gamma parameterisation with power parameter in (1, 2). The density is evaluated using the series expansion of Dunn and Smyth (2005) <doi:10.1007/s11222-005-4070-y>, implemented in C++ via 'Rcpp' and 'RcppArmadillo' for performance. A constructor compatible with the distributional package is also provided for use in tidy modelling workflows.
License: LGPL (>= 3)
URL: https://github.com/StefanoDamato/tweedieDistr
BugReports: https://github.com/StefanoDamato/tweedieDistr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: distributional, Rcpp, rlang, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: ggdist, ggplot2, testthat (>= 3.0.0), tibble, tweedie
NeedsCompilation: yes
Packaged: 2026-07-06 14:10:52 UTC; stefano.damato
Author: Stefano Damato [aut, cre]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-15 17:50:02 UTC

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New package roxyreqs with initial version 1.3.0
Package: roxyreqs
Title: 'roxygen2'-Style Metadata for Test Cases and Function Documentation
Version: 1.3.0
Description: Extends 'roxygen2' to support '@meta' tags for documenting 'testthat' test cases and function specifications. Includes a custom 'JUnit' reporter that exports test metadata as XML properties and validation functions to ensure all exported functions and tests contain required tags. Designed for traceability between requirements and tests in regulated industries such as pharma and finance.
License: GPL (>= 3)
URL: https://github.com/mnlang/roxyreqs
BugReports: https://github.com/mnlang/roxyreqs/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: brio, cli, R6, rlang, roxygen2 (>= 7.0.0), stringr, testthat (>= 3.2.0), withr
Suggests: spelling, xml2
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-06 12:32:53 UTC; langm36
Author: Moritz Lang [aut, cre], Mario Annau [aut], Doug Kelkhoff [ctb], Szymon Maksymiuk [ctb]
Maintainer: Moritz Lang <moritz.n.lang@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-15 17:40:02 UTC

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New package MarineChain with initial version 1.1.0
Package: MarineChain
Title: Blockchain-Enabled Maritime Transportation System Simulator
Version: 1.1.0
Maintainer: Isaac Osei <ikemillar65@gmail.com>
Description: Simulates Blockchain-Enabled Maritime Transportation Systems (BMTS) by integrating asynchronous, great-circle vessel kinematics with decentralised edge-computing consensus layers. The package provides a fully self-contained cyber-range running completely offline, permitting the risk-free injection of spatial and telemetry threat vectors (e.g., geofence breaches, coordinate modification, and node impersonation). It includes an interactive workspace engine built using 'shinydashboard' and 'leaflet' map layers for monitoring vessel states and ledger updates. Implemented consensus structures are modeled on a lightweight Proof-of-Authentication framework optimized for resource-constrained distributed nodes.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, shinydashboard, digest, leaflet, plotly
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/ikemillar/MarineChain
BugReports: https://github.com/ikemillar/MarineChain/issues
NeedsCompilation: no
Packaged: 2026-07-06 17:47:14 UTC; isaacosei
Author: Isaac Osei [aut, cre], Yamini Alakunta [aut]
Repository: CRAN
Date/Publication: 2026-07-15 18:00:08 UTC

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New package kro.inv.test with initial version 0.1.1
Package: kro.inv.test
Title: Kronecker-Invariant Tests for High-Dimensional Separability Testing
Version: 0.1.1
Description: Kronecker-invariant tests for high-dimensional separability testing of matrix-variate data, focusing on Gaussian populations as benchmark cases. Tests whether the population covariance matrix is represented as a Kronecker product of row and column covariance matrices. Implements the tests based on the eigenvalues of the sample core whose test statistics are invariant to the separable component of the population covariance matrix, referred to as Kronecker-invariance. Tests constructed using the largest eigenvalue and the separable expansion of the sample core and applying the extended likelihood ratio test for sphericity testing to the sample core. For details, see Sung and Hoff (2025) <doi:10.48550/arXiv.2506.17463>.
License: GPL-3
Encoding: UTF-8
Imports: RMTstat, RSpectra, covKCD, pracma, stats
URL: https://github.com/Seungbongjung/kro.inv.test
BugReports: https://github.com/Seungbongjung/kro.inv.test/issues
NeedsCompilation: no
Packaged: 2026-07-06 15:40:20 UTC; bs403
Author: Bongjung Sung [aut, cre]
Maintainer: Bongjung Sung <bongjung.sung@duke.edu>
Repository: CRAN
Date/Publication: 2026-07-15 17:50:07 UTC

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New package fletcher with initial version 0.1.0
Package: fletcher
Title: Compute Fletcher Checksums (16, 32, and 64 Bit)
Version: 0.1.0
Description: Computes Fletcher's position-dependent checksum in 16-, 32-, and 64-bit widths. Fletcher's checksum, devised by John G. Fletcher, provides error-detection properties approaching a cyclic redundancy check at lower computational cost. Input is processed as little-endian words with the final partial word zero-padded, so results are reproducible across platforms.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/chrislongros/fletcher
BugReports: https://github.com/chrislongros/fletcher/issues
Suggests: tinytest
NeedsCompilation: yes
Packaged: 2026-07-06 14:22:29 UTC; chris
Author: Christos Longros [aut, cre]
Maintainer: Christos Longros <chris.longros@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-15 17:50:13 UTC

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New package BBNI with initial version 0.1.1
Package: BBNI
Title: Bayesian Inference of Boolean Genetic Networks
Version: 0.1.1
Description: Implements a fully Bayesian Markov chain Monte Carlo (MCMC) approach for inferring the topology and Boolean logic transition functions of gene regulatory networks from noisy, binary time-series expression data. Network structure and Boolean rules are sampled jointly from their posterior distribution, providing principled uncertainty quantification rather than a single point estimate. Method described in Han et al. (2014) <doi:10.1371/journal.pone.0115806>.
Depends: R (>= 4.1.0)
License: BSD_3_clause + file LICENSE
URL: https://anson-li8.github.io/BBNI/, https://github.com/anson-li8/BBNI
BugReports: https://github.com/anson-li8/BBNI/issues
Encoding: UTF-8
Language: en-US
Imports: bitops, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-06 15:02:34 UTC; Anson
Author: Anson Li [aut, cre], Shengtong Han [aut]
Maintainer: Anson Li <liyuanrui618@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-15 17:50:18 UTC

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New package appac with initial version 4.0.3
Package: appac
Title: Atmospheric Pressure Peak Area Correction for Gas Chromatography with Standard Detectors
Version: 4.0.3
Description: Corrects gas-chromatography peak areas for the influence of ambient air pressure on standard detectors open to the ambient atmosphere, such as the flame ionization detector, whose pressure sensitivity was characterised by Bocek, Novak and Janak (1969) <doi:10.1016/S0021-9673(00)99223-9>. Unlike the pressure compensation of Ayers and Clardy (1985) <https://patents.google.com/patent/US4512181A>, which is combined with a calibration and valid only for a single calibration period of a few days, per-cylinder peak areas are decomposed by principal components into a pressure-correlated component and per-peak drift; a common pressure-sensitivity coefficient (kappa) is estimated with a heavy-tail-robust fit on a drift-reduced signal, and slow drift plus a daily factor are removed. Returns the corrected areas together with a chi-square goodness-of-fit diagnostic. Structural-break detection (package 'strucchange', Zeileis and others (2002) <doi:10.18637/jss.v007.i02>) is provide [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: methods, stats, utils, data.table, dplyr, tibble, purrr, kza, robustbase, strucchange
Suggests: ggplot2, patchwork, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-06 18:31:49 UTC; ruedi
Author: Ruediger Forster [aut, cre]
Maintainer: Ruediger Forster <meticulous.measurements@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-15 18:00:02 UTC

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New package tantivyr with initial version 0.1.0
Package: tantivyr
Title: Fast Full-Text Search for R with 'Tantivy'
Version: 0.1.0
Description: Index data frames and document collections and run fast full-text search entirely on your machine. 'tantivyr' wraps the 'Tantivy' 'Rust' search engine (a 'Lucene'-inspired library) to provide 'BM25' ranking, structured filters, snippet highlighting and incremental updates over an on-disk or in-memory index. First-class support is provided for stemming and stop words in Portuguese and English, making it well suited to public documents, news clippings, extracted 'PDF' text, transcripts and legal acts.
License: MIT + file LICENSE
URL: https://strategicprojects.github.io/tantivyr/, https://github.com/StrategicProjects/tantivyr
BugReports: https://github.com/StrategicProjects/tantivyr/issues
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc
Depends: R (>= 4.2)
Imports: cli, rlang (>= 1.1.0), tibble, tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Biarch: true
NeedsCompilation: yes
Packaged: 2026-07-04 12:15:42 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-07-15 08:10:02 UTC

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New package rpic with initial version 0.6.2
Package: rpic
Title: The 'pic' Graphics Language Rendered to SVG, PNG and PDF
Version: 0.6.2
Description: Renders diagrams written in the 'pic' picture-drawing language (Kernighan, 1984) to SVG, PNG and PDF, using 'rpic' <https://github.com/milkway/rpic-lang>, a reimplementation of 'pic' in 'Rust' with no system dependencies. Includes a native circuit-element library in the spirit of 'circuit_macros', TeX math labels typeset natively, structured compile diagnostics, and a 'knitr' language engine for inline diagrams in 'R Markdown' and 'Quarto' documents.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://milkway.github.io/rpic-r/, https://github.com/milkway/rpic-r, https://github.com/milkway/rpic-lang
BugReports: https://github.com/milkway/rpic-r/issues
Depends: R (>= 4.2)
NeedsCompilation: yes
Packaged: 2026-07-05 00:48:36 UTC; leite
Author: Andre Leite [aut, cre, cph], The authors of the dependency Rust crates [cph]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-07-15 08:00:02 UTC

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Tue, 14 Jul 2026

New package lazymatrix with initial version 0.1.0
Package: lazymatrix
Title: Perform Complex Matrix Operations Symbolically on Sparse Matrices
Version: 0.1.0
Description: Provides a framework for lazy computation on large sparse matrices. Enables lazy evaluation of normalized data matrices, preserving sparsity throughout operations without materializing dense intermediate objects. Implements statistical algorithms including LSQR for sparse least squares as described in Paige and Saunders (1982) <doi:10.1145/355984.355989> and partial singular value decomposition via the augmented implicitly restarted Lanczos bidiagonalization algorithm of Baglama and Reichel (2005) <doi:10.1137/04060593X>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: bench, dplyr, ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr
Imports: Matrix, methods, stats, irlba, Rcpp
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
URL: https://vsegersall.github.io/lazymatrix/
NeedsCompilation: yes
Packaged: 2026-07-06 01:06:49 UTC; jola
Author: Viktor Segersall [aut, cre, cph]
Maintainer: Viktor Segersall <viktor.segersall@proton.me>
Repository: CRAN
Date/Publication: 2026-07-14 16:40:07 UTC

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New package glydraw with initial version 0.6.3
Package: glydraw
Title: Draw Beautiful Symbol Nomenclature for Glycans
Version: 0.6.3
Description: A 'ggplot2'-native plotting engine for drawing reproducible beautiful Symbol Nomenclature for Glycans (SNFG) glycan cartoons from glycan structure objects or text notations, with support for batch export, structural highlighting, and deep appearance customization. It follows the SNFG specification described at <https://www.ncbi.nlm.nih.gov/glycans/snfg.html>.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
Encoding: UTF-8
URL: https://glycoverse.github.io/glydraw/, https://github.com/glycoverse/glydraw
Imports: glyrepr (>= 0.10.0), rlang, dplyr, ggplot2 (>= 4.0.0), igraph, purrr, png, glyparse, cli, checkmate, scales, fs
VignetteBuilder: knitr
BugReports: https://github.com/glycoverse/glydraw/issues
NeedsCompilation: no
Packaged: 2026-07-06 05:54:29 UTC; fubin
Author: Bin Fu [aut, cre, cph] , Xisong Feng [aut]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-07-14 16:30:02 UTC

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New package DynCount with initial version 0.1.0
Package: DynCount
Title: Bayesian Dynamic Models for Poisson and Binomial Time Series
Version: 0.1.0
Description: Fits Bayesian state-space models for non-Gaussian time series using a latent log-rate (Poisson) or latent logit (binomial) formulation. The latent trajectory follows a first-order random walk or a stationary AR(1) process, sampled by Metropolis-within-Gibbs using the implied Gaussian Markov random field (GMRF) full conditionals. Four innovation structures are supported for the latent increments: constant-variance Gaussian, Student-t, a finite scale mixture of normals, and stochastic volatility. Both families support time-constant zero inflation. The package provides simulation, fitting, forecasting, summary and plotting tools. It implements and extends the methodology of Zens and Bijak (2026) <doi:10.1214/26-AOAS2171>.
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, grDevices, utils
Suggests: stochvol, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-06 10:25:38 UTC; Gregor
Author: Gregor Zens [aut, cre]
Maintainer: Gregor Zens <zens@iiasa.ac.at>
Repository: CRAN
Date/Publication: 2026-07-14 17:00:02 UTC

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New package circularNet with initial version 0.1.0
Package: circularNet
Title: Circular Graphical Model Estimation
Version: 0.1.0
Description: Provides methods for estimating circular graphical models using maximum likelihood estimation (MLE) and circular mean squared error (CMSE) approaches. The package includes tools for model fitting, network construction, network evaluation, and visualization. The CMSE-based methodology is related to Dar (2023) <https://open.metu.edu.tr/handle/11511/102577>. The package supports both simulated circular data and real-world applications, including gene-expression network analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, igraph, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-07-05 19:34:47 UTC; fatemeh
Author: Fatemeh Sarasir [aut, cre] , Vilda Purutcuoglu [aut] , Elif Dogan Dar [aut]
Maintainer: Fatemeh Sarasir <fsarasir@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-14 16:30:09 UTC

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Sat, 11 Jul 2026

New package volcanoes with initial version 0.1.1
Package: volcanoes
Title: Holocene Volcanoes, Eruptions, and Eruption Events
Version: 0.1.1
Description: Tidy snapshots of the Smithsonian Institution Global Volcanism Program's Volcanoes of the World database. Provides three data frames covering Holocene volcanoes, their eruptions, and the events recorded during those eruptions. The schema follows the layout popularized by the 'rfordatascience/tidytuesday' 2020-05-12 release, refreshed against the current Global Volcanism Program database.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5)
URL: https://moderndive.github.io/volcanoes/, https://github.com/moderndive/volcanoes, https://volcano.si.edu/
BugReports: https://github.com/moderndive/volcanoes/issues
Suggests: dplyr, fs, janitor, pkgdown, purrr, readr, rvest, tibble, usethis
NeedsCompilation: no
Packaged: 2026-07-05 14:46:33 UTC; chesterismay
Author: Chester Ismay [aut, cre]
Maintainer: Chester Ismay <chester.ismay@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:20:02 UTC

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New package saeproj.multilevel with initial version 0.1.0
Package: saeproj.multilevel
Title: Small Area Estimation Using a Projection Estimator with a Multilevel Regression Model
Version: 0.1.0
Description: Provides tools for small area estimation using a projection estimator with a linear multilevel working model. The main function fits a multilevel model to a smaller survey containing the response variable and auxiliary predictors, predicts outcomes in a larger projection survey, and computes domain-level estimates with a design-based residual correction.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5)
Imports: cli, dplyr, lme4, reformulas, survey, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/rahmanazlya02/saeproj.multilevel
BugReports: https://github.com/rahmanazlya02/saeproj.multilevel/issues
NeedsCompilation: no
Packaged: 2026-07-05 17:00:31 UTC; Nazlya
Author: Nazlya Rahma Susanto [aut, cre], Azka Ubaidillah [aut]
Maintainer: Nazlya Rahma Susanto <susantonazlya@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:30:02 UTC

More information about saeproj.multilevel at CRAN
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New package lbugr with initial version 0.1.1
Package: lbugr
Title: Interface to 'ladybug' Graph Database
Version: 0.1.1
Maintainer: Manuel Wick-Eckl <manuel.wick@gmail.com>
Description: Provides a high-performance 'R' interface to the 'ladybug' graph database. Uses the 'reticulate' package to wrap the official Python 'ladybug' client. Enables seamless interaction with 'Ladybug' from within 'R' for managing database connections, executing 'Cypher' queries, and loading data from 'R' data frames. Converts query results into popular 'R' data structures including 'tibble', 'igraph', 'tidygraph', and 'g6R' objects for analysis and visualization workflows.
URL: https://wickm.github.io/lbugr/, https://github.com/WickM/lbugr
BugReports: https://github.com/WickM/lbugr/issues
License: MIT + file LICENSE
Imports: reticulate, digest, tibble
Suggests: g6R, igraph, tidygraph, ggraph, ggplot2, jsonlite, testthat (>= 3.0.0), knitr, rmarkdown, spelling, arrow, withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-05 20:26:13 UTC; krist
Author: Manuel Wick-Eckl [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-07-11 09:40:02 UTC

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New package ggchord2 with initial version 0.0.1
Package: ggchord2
Title: Chord Diagrams with 'ggplot2'
Version: 0.0.1
Description: A 'ggplot2' extension that provides functions for drawing chord diagrams for visualising flows between categories. The package extends 'ggplot2' by adding geoms and stats for drawing chord sectors, arcs, and labels.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: geomtextpath, ggplot2 (>= 3.4.0), rlang
Suggests: dplyr, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://nrennie.gitlab.io/ggchord2/
NeedsCompilation: no
Packaged: 2026-07-05 15:48:06 UTC; nrenn
Author: Nicola Rennie [aut, cre, cph]
Maintainer: Nicola Rennie <nrennie.research@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:20:07 UTC

More information about ggchord2 at CRAN
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New package exoplanetdata with initial version 0.1.0
Package: exoplanetdata
Title: Exoplanet Datasets for Teaching Introductory Statistics
Version: 0.1.0
Description: Tidied datasets of confirmed exoplanets and their host stars, retrieved from NASA's Exoplanet Archive via the 'REXoplanets' package. Column names have been simplified for classroom use, with units baked into names where ambiguous. Intended as a companion dataset for introductory statistics teaching in the spirit of the 'ModernDive' textbook.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1)
Suggests: REXoplanets, dplyr, readr, tibble, purrr, roxygen2
URL: https://github.com/moderndive/exoplanetdata, https://moderndive.github.io/exoplanetdata/
BugReports: https://github.com/moderndive/exoplanetdata/issues
NeedsCompilation: no
Packaged: 2026-07-05 14:19:27 UTC; chesterismay
Author: Chester Ismay [aut, cre]
Maintainer: Chester Ismay <chester.ismay@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:20:13 UTC

More information about exoplanetdata at CRAN
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New package bifactory with initial version 0.5.1
Package: bifactory
Title: (Bifactor) ESEM with Continuous (MLR) or Ordered (WLSMV) Data
Version: 0.5.1
Description: Fits bifactor exploratory structural equation models (B-ESEM), together with standard exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA), for continuous and ordered-categorical data. Continuous models use 'lavaan' native efa() blocks with robust maximum likelihood (MLR) estimation. Ordered-categorical ESEM defaults to the 'lavaan' weighted least squares mean- and variance-adjusted (WLSMV) estimator; ordered B-ESEM uses a custom diagonally weighted least squares (DWLS) path with polychoric correlations from 'psych', rotation-delta standard errors via 'numDeriv', and a mean- and variance-adjusted chi-square. Target, geomin, and oblimin rotations use 'GPArotation'; the bifactor ESEM approach follows Morin, Arens and Marsh (2016) <doi:10.1080/10705511.2014.961800>. Additional features include multi-group measurement invariance (configural through strict, with partial invariance), ESEM-within-CFA conversion, McDonald's omega reliability suite, and t [...truncated...]
License: AGPL-3
URL: https://github.com/leondebeer/bifactory
BugReports: https://github.com/leondebeer/bifactory/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lavaan (>= 0.6-21), GPArotation, psych, MASS, numDeriv, stats, utils, graphics, methods, withr
Suggests: MplusAutomation, openxlsx2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-05 15:07:07 UTC; leond
Author: Leon T. De Beer [aut, cre]
Maintainer: Leon T. De Beer <leondb@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:30:08 UTC

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New package tseLCA with initial version 1.0.2
Package: tseLCA
Title: Three-Step Estimation for Latent Class Analysis
Version: 1.0.2
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...]
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: multilevLCA, cli
Suggests: poLCA, testthat (>= 3.0.0), parallel, knitr, rmarkdown, spelling
URL: https://samleebyu.github.io/tseLCA/, https://github.com/SamLeeBYU/tseLCA
BugReports: https://github.com/SamLeeBYU/tseLCA/issues
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-05 03:07:06 UTC; samle
Author: Sam Lee [aut, cre, cph] , Jay Goodliffe [ctb]
Maintainer: Sam Lee <samlee@arizona.edu>
Repository: CRAN
Date/Publication: 2026-07-11 08:40:02 UTC

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New package TheOrdinals with initial version 0.1.0
Package: TheOrdinals
Title: Aggregation and Consensus Methods for Preference-Approvals
Version: 0.1.0
Description: Tools for aggregating ordinal preference data into a group consensus. The package implements DIVA (Divide and Conquer for Preference-Approvals), a distance-based aggregation method for preference-approvals, that is, preference data in which voters express both a (weak) ranking and an approval of the alternatives. The consensus is the preference-approval minimising the average distance to the set of voters, measured through the family of distances of Erdamar, Garcia-Lapresta, Perez-Roman and Sanver (2014) <doi:10.1016/j.mathsocsci.2013.10.005>. Methods and applications are described in Albano and Romano (2026) <doi:10.1007/s11634-025-00663-4>. The package is designed to be extended with further methods for ordinal preference data.
License: GPL-3
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.5.0)
Imports: ConsRank
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-05 09:28:12 UTC; 39346
Author: Maurizio Romano [aut, cre], Alessandro Albano [aut]
Maintainer: Maurizio Romano <romano.maurizio@unica.it>
Repository: CRAN
Date/Publication: 2026-07-11 09:00:07 UTC

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New package sdim with initial version 0.1.0
Package: sdim
Title: An R Package for Supervised Dimension Reduction
Version: 0.1.0
Description: Implements five factor extraction methods for asset pricing and macroeconomic forecasting: principal component analysis (PCA), partial least squares (PLS), scaled PCA (sPCA) of Huang, Jiang, Li, Tong, and Zhou (2022) <doi:10.1287/mnsc.2021.4020>, the reduced-rank approach (RRA) of He, Huang, Li, and Zhou (2023) <doi:10.1287/mnsc.2022.4563>, and Instrumented PCA (IPCA) of Kelly, Pruitt, and Su (2019) <doi:10.1016/j.jfineco.2019.05.001>.
URL: https://gabbocg.github.io/sdim/, https://github.com/gabbocg/sdim
BugReports: https://github.com/gabbocg/sdim/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, graphics, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: frenchdata, knitr, readxl, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-04 14:44:15 UTC; gabbocg
Author: Gabriel Cabrera [aut, cre]
Maintainer: Gabriel Cabrera <gabriel.cabrera.guz@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 08:30:02 UTC

More information about sdim at CRAN
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New package rolloptim with initial version 1.0.0
Package: rolloptim
Title: Rolling Optimizations
Version: 1.0.0
Description: Analytical computation of rolling optimization for time-series data. The 'rolloptim' package solves constrained quadratic and linear programs in closed form by applying Lagrangian multipliers and the Karush-Kuhn-Tucker conditions (Kuhn and Tucker, 1951, <doi:10.1525/9780520411586-036>) to perform mean-variance portfolio optimization (Markowitz, 1952, <doi:10.1111/j.1540-6261.1952.tb01525.x>) over rolling windows. For each window, the analytical solution computes the optimal weights that minimize variance, maximize expected return, minimize residual sum of squares, or maximize quadratic utility, subject to a total-weight equality constraint and box bounds on each weight. Use cases include mean-variance portfolio optimization, expected-return maximization, and constrained regression. The package supports rolling optimizations with constraints via the total, lower, and upper arguments. The implementation accepts rolling moments computed via the 'roll' package and uses 'RcppArm [...truncated...]
License: GPL (>= 2)
URL: https://github.com/jasonjfoster/rolloptim
BugReports: https://github.com/jasonjfoster/rolloptim/issues
Depends: R (>= 3.5.0)
Imports: Rcpp, RcppParallel
Suggests: covr, CVXR, ROI, ROI.plugin.glpk, ROI.plugin.qpoases, ROI.plugin.quadprog, roll (>= 1.1.7), testthat, zoo
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Encoding: UTF-8
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2026-07-04 16:03:16 UTC; jason
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 08:30:08 UTC

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New package pft with initial version 1.0.1
Package: pft
Title: Pulmonary Function Test Interpretation per ERS/ATS 2022
Version: 1.0.1
Description: Computes predicted values and lower/upper limits of normal for pulmonary function tests according to American Thoracic Society ('ATS') and European Respiratory Society ('ERS') reference standards. Supports spirometry (Global Lung Function Initiative 'GLI' 2012, Quanjer et al. (2012) <doi:10.1183/09031936.00080312>; and the race-neutral 'GLI' 2022 / 'GLI Global' equations, Bowerman et al. (2023) <doi:10.1164/rccm.202205-0963OC>), static lung volumes ('GLI' 2021, Hall et al. (2021) <doi:10.1183/13993003.00289-2020>), and the carbon monoxide transfer factor / diffusion capacity ('GLI' 2017, Stanojevic et al. (2017) <doi:10.1183/13993003.00010-2017>, including the 2020 author correction <doi:10.1183/13993003.50010-2017>). Also assigns interpretive pattern labels (Normal, Non-specific, Obstructed, Restricted, Mixed) from spirometry and lung-volume measurements following the 'ERS'/'ATS' 2022 interpretation algorithm, Stanojevic et al. (2022) <doi:10.1183/1399 [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/overdodactyl/pft
BugReports: https://github.com/overdodactyl/pft/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: rlang, tibble
Suggests: broom, covr, dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-04 18:12:32 UTC; m208076
Author: Pat Johnson [aut, cre] , Scott Helgeson [aut] , Zach Quicksall [ctb], Jairo Pena [ctb]
Maintainer: Pat Johnson <johnson.pat@mayo.edu>
Repository: CRAN
Date/Publication: 2026-07-11 08:30:13 UTC

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New package mlstats with initial version 0.1.0
Package: mlstats
Title: Multilevel Descriptive Statistics and Data Preparation
Version: 0.1.0
Description: Provides tools for multilevel descriptive statistics and data preparation. Computes within-group and between-group correlations (via variance decomposition or two-level structural equation modeling), intraclass correlation coefficients (ICCs), and descriptive statistics for nested data (e.g., repeated measurements per person), supporting both frequentist (via 'lme4' or 'lavaan') and Bayesian (via 'brms') estimation. Results are formatted according to APA standards and can be exported as tables using 'gt' or 'tinytable'. Also includes functions for decomposing variables into within-group and between-group components for use in Random Effects Within-Between (REWB) models.
License: MIT + file LICENSE
URL: https://felixdidi.github.io/mlstats/, https://github.com/felixdidi/mlstats
BugReports: https://github.com/felixdidi/mlstats/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Suggests: brms, gt, knitr, lavaan, lmerTest, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: cli, dplyr, lme4, pillar, rlang, scales, stringr, tibble, tinytable, vctrs
NeedsCompilation: no
Packaged: 2026-07-05 11:33:49 UTC; felix
Author: Felix Dietrich [aut, cre, cph]
Maintainer: Felix Dietrich <mail@felix-dietrich.de>
Repository: CRAN
Date/Publication: 2026-07-11 09:00:02 UTC

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New package gbcrosswalk with initial version 0.0.5
Package: gbcrosswalk
Title: Crosswalk Chinese GB Industry Classifications Across Years
Version: 0.0.5
Description: Tools for cleaning, building, and composing crosswalks between Chinese GB/T 4754 industry classification vintages. The package starts with the historical workflow for 1986, 1994, 2002, 2011, and 2017 and is designed so later PDF-derived vintages can be added as additional adjacent pairwise crosswalks.
License: MIT + file LICENSE
URL: https://github.com/robin621/gbcrosswalk
BugReports: https://github.com/robin621/gbcrosswalk/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: utils
Enhances: readxl
NeedsCompilation: no
Packaged: 2026-07-04 18:28:20 UTC; CodexSandboxOffline
Author: Yajie Wang [aut, cre] )
Maintainer: Yajie Wang <wangyajie621@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 08:50:02 UTC

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New package chessResults with initial version 2026.07.05
Package: chessResults
Title: Scrapper for Chess-Results.com
Version: 2026.07.05
Description: Scrap data from chess-results.com and return a clean 'tibble'. Currently only supports tournament details and starting rank table.
License: GPL (>= 3)
URL: https://codeberg.org/SirfHaru/chessResults
BugReports: https://codeberg.org/SirfHaru/chessResults/issues
Imports: dplyr (>= 1.2.1), janitor (>= 2.2.1), stringr (>= 1.6.0), tibble (>= 3.3.1), tidyr (>= 1.3.2), readr (>= 2.2.0), rvest (>= 1.0.5)
Depends: R (>= 4.6.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-05 07:24:09 UTC; insaan
Author: SirfHaru [aut, cre]
Maintainer: SirfHaru <105.hydrated233@passinbox.com>
Repository: CRAN
Date/Publication: 2026-07-11 08:50:06 UTC

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New package BayesSurveillance with initial version 0.0.2
Package: BayesSurveillance
Title: Bayesian Surveillance Methods for Healthcare Performance Monitoring
Version: 0.0.2
Description: Provides Bayesian surveillance methods for prospective monitoring of healthcare performance, patient safety, and clinical quality indicators. The package implements beta-binomial monitoring for binary outcomes, gamma-Poisson monitoring for count outcomes, posterior predictive alert probabilities, Bayesian early-warning signal detection, risk-adjusted surveillance, simulation tools, decision-support methods, and graphical summaries. These methods support continuous performance monitoring and timely detection of adverse trends in healthcare systems. The methodology is motivated by established risk-adjusted monitoring, sequential surveillance, and healthcare quality-improvement frameworks <doi:10.1093/biostatistics/1.4.441>, <doi:10.1002/sim.1546>, <doi:10.1136/bmjqs.2008.031831>, and <doi:10.1136/bmjqs-2016-005526>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/zerish12/BayesSurveillance
BugReports: https://github.com/zerish12/BayesSurveillance/issues
NeedsCompilation: no
Packaged: 2026-07-05 09:04:29 UTC; muhammadzahirkhan
Author: Muhammad Zahir Khan [aut, cre]
Maintainer: Muhammad Zahir Khan <zahirstat007@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:00:14 UTC

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New package simtte with initial version 1.0.1
Package: simtte
Title: Simulate Time-to-Event Data Using Weibull and Spline Models
Version: 1.0.1
Language: en-US
Description: Simulates time-to-event (survival) datasets for clinical trial design and analysis. Supports Weibull and flexible M-spline baseline hazard models via the 'mrgsolve' ordinary differential equation solver backend. Implements inverse transform sampling from cumulative hazard functions to generate event times. See Bender et al. (2005) <doi:10.1002/sim.2059> for the inverse transform sampling methodology and Royston and Parmar (2002) <doi:10.1002/sim.1203> for flexible parametric survival models.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: dplyr, magrittr, mrgsolve
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/csetraynor/simtte
BugReports: https://github.com/csetraynor/simtte/issues
NeedsCompilation: no
Packaged: 2026-07-04 07:50:04 UTC; carlostraynor
Author: Carlos Traynor [aut, cre]
Maintainer: Carlos Traynor <carlos.traynor.qcp@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 07:50:02 UTC

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Fri, 10 Jul 2026

New package truchet with initial version 0.0.1.1
Package: truchet
Title: Tiles and Random Mosaics Truchet Style Using the 'sf' Framework
Version: 0.0.1.1
Description: Functions to create Truchet tiles, so called after Sébastien Truchet who was the first to describe the patterns obtained by rotating tiles with respect to each other. This form of tiling is described by Smith and Boucher (1987) <https://muse.jhu.edu/article/600574>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://paezha.github.io/truchet/, https://github.com/paezha/truchet
BugReports: https://github.com/paezha/truchet/issues
Imports: bezier, checkmate, dplyr, lwgeom, magrittr, methods, purrr, rlang, sf, tidyr
Suggests: rmarkdown, gganimate, ggplot2, knitr, imager
NeedsCompilation: no
Packaged: 2026-07-03 16:26:07 UTC; antonio-paez
Author: Antonio Paez [aut, cre]
Maintainer: Antonio Paez <paezha@mcmaster.ca>
Repository: CRAN
Date/Publication: 2026-07-10 20:30:02 UTC

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New package svySE with initial version 0.1.0
Package: svySE
Title: Sampling Error Estimation for Complex Surveys
Version: 0.1.0
Description: Tools for estimating sampling errors of indicators from complex survey designs. The package supports weighted totals, proportions, standard errors, confidence intervals, coefficients of variation, design effects, unweighted counts, grouped estimates, domain estimates, configurable survey settings, and customizable Excel exports.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2.0)
Imports: survey, openxlsx, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/lburgoss/svySE
BugReports: https://github.com/lburgoss/svySE/issues
NeedsCompilation: no
Packaged: 2026-07-03 19:32:32 UTC; encal154
Author: Luis Burgos [aut, cre]
Maintainer: Luis Burgos <lburgoss1996@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:50:02 UTC

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New package stepwedgepower with initial version 0.1.0
Package: stepwedgepower
Title: Tools for Stepped-Wedge Clinical Trial Analysis and Power Simulation
Version: 0.1.0
Maintainer: Lin (Amanda) Li <amandali14124277@gmail.com>
Description: Refactors an academic stepped-wedge clinical trial analysis script into reusable functions for physician-level data preparation, specialty-level rate modeling, and simulation-based power calculations with a random provider effects. The package was designed to support Eli Lilly Lp(a) grant support and more general stepped-wedge planning workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lme4
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-03 21:33:04 UTC; amandalinli
Author: Lin Li [aut, cre], Florin Vaida [aut]
Repository: CRAN
Date/Publication: 2026-07-10 20:50:08 UTC

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New package sealeveltools with initial version 0.3.0
Package: sealeveltools
Title: Sea Level Adjustment and Coastal Terrain Modeling
Version: 0.3.0
Date: 2026-07-03
Imports: grDevices, terra
Maintainer: Jovan Kovacevic <jkovacevic@grf.bg.ac.rs>
Description: Simulates sea-level rise and fall from raster-based elevation models through functions for relative vertical datum transformation of Digital Terrain Models (DTMs) and integration with bathymetric data to produce continuous terrestrial–marine Digital Elevation Models (DEMs). Supports coastal exposure modeling, paleogeographic reconstruction, submerged landscape analysis, and climate change impact assessment. Optional gap-filling and threshold-based terrain filtering facilitate reconstruction of incomplete elevation surfaces and scenario-based landscape simulation. Applications span coastal engineering, geomorphology, archaeology, environmental modeling, and geospatial analysis.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-03 20:28:40 UTC; Administrator
Author: Jovan Kovacevic [aut, cre] , Christopher Nuttall [aut]
Repository: CRAN
Date/Publication: 2026-07-10 20:50:12 UTC

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New package safuzzy with initial version 0.1.1
Package: safuzzy
Title: Stability Analysis with Fuzzy Logic
Version: 0.1.1
Description: It integrates 'fuzzy logic' into the analysis of genotype adaptability and stability. By classifying genotypes based on degrees of belonging, the package provides a detailed assessment of their behavior in different environmental groups.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Date: 2026-07-02
Imports: dplyr, purrr, tidyr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-07-03 16:52:05 UTC; dougl
Author: Maciel Douglas, O. [aut, cre]
Maintainer: "Maciel Douglas, O." <douglasmaciel@discente.ufg.br>
Repository: CRAN
Date/Publication: 2026-07-10 20:30:08 UTC

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New package retraction with initial version 0.1.0
Package: retraction
Title: Detect Retracted References in Documents and Bibliographies
Version: 0.1.0
Description: Scans manuscripts, bibliographies, and reference lists for citations to retracted publications so that authors can avoid citing retracted work. 'retraction' reads bibliographic formats (BibTeX, BibLaTeX, CSL-JSON, RIS, EndNote XML) and document formats (R Markdown, Quarto, 'LaTeX', Markdown, HTML, JATS XML, Word, and PDF), extracts and normalizes identifiers, and checks them against retraction data. The default data source is the Retraction Watch database served through the 'XeraRetractionTracker' API; 'Crossref', 'OpenAlex', 'Europe PMC', 'PubMed', 'DataCite', and a preprint source ('arXiv' and 'bioRxiv' withdrawals) are available as additional sources ('OpenAlex' retraction data is itself derived from Retraction Watch). Within each source, matching proceeds from exact Digital Object Identifier (DOI) and 'PubMed' identifier lookups to fuzzy title matching, and results are returned as a tidy table with a match-quality score and an optional self-contained HTML report.
License: GPL-3
URL: https://github.com/choxos/retraction, https://choxos.github.io/retraction/
BugReports: https://github.com/choxos/retraction/issues
Depends: R (>= 4.0)
Imports: cli (>= 3.0.0), httr2, jsonlite, stringdist, tibble, tools, utils, xml2
Suggests: arrow, covr, DBI, DT, furrr, future, httptest2, knitr, pdftools, rmarkdown, RSQLite, rstudioapi, shiny, stringi (>= 1.5.3), testthat (>= 3.0.0), withr, writexl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-03 13:24:43 UTC; choxos
Author: Ahmad Sofi-Mahmudi [aut, cre]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:20:08 UTC

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New package pycnogrid with initial version 0.2.0
Package: pycnogrid
Title: Flexible Pycnophylactic Interpolation to Discrete Global and Local Grid Systems
Version: 0.2.0
Description: Provides tools for pycnophylactic interpolation of polygon totals to discrete global and local grid systems. The method follows Tobler (1979) <doi:10.1080/01621459.1979.10481647>, preserving source-zone totals while smoothing values across neighboring target cells.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: a5R, dplyr, h3o, hexify, Matrix, rlang, s2, sf, sfdep, terra, tibble
Suggests: forcats, gt, knitr, purrr, quarto, testthat (>= 3.0.0), tidyr, tmap
VignetteBuilder: quarto
LazyData: true
URL: https://higgicd.github.io/pycnogrid/, https://github.com/higgicd/pycnogrid
BugReports: https://github.com/higgicd/pycnogrid/issues
NeedsCompilation: no
Packaged: 2026-07-03 15:46:12 UTC; chris
Author: Christopher Higgins [aut, cre, cph]
Maintainer: Christopher Higgins <cd.higgins@utoronto.ca>
Repository: CRAN
Date/Publication: 2026-07-10 20:30:13 UTC

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New package OORRT with initial version 0.1.0
Package: OORRT
Title: Estimator for Optimised Optional Randomised Response Technique
Version: 0.1.0
Description: Provides functions for estimation under the Randomised Response Technique for sensitive survey data, including Warner's estimator, Optional Randomised Response Technique estimator proposed by Chaudhuri and Mukerjee,and the Optimized Optional Randomised Response Technique estimator proposed by Pushadapu et al. The package also includes Monte Carlo simulation tools for evaluating estimator performance. The implemented methods are based on Warner (1965) <doi:10.1080/01621459.1965.10480775>, Chaudhuri and Mukerjee (1985),and Pushadapu et al. (2025) <doi: 10.1111/insr.12581>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-03 08:01:06 UTC; hp
Author: Safeela Nasrin [aut, cre], Kaustav Aditya [aut], Ritwika Das [aut]
Maintainer: Safeela Nasrin <nasrinkareem315@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:10:22 UTC

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New package jpmapdata with initial version 0.1.0
Package: jpmapdata
Title: Boundary Data for Japan Maps
Version: 0.1.0
URL: https://github.com/yhoriuchi/jpmapdata
BugReports: https://github.com/yhoriuchi/jpmapdata/issues
Description: Provides boundary 'GeoPackage' files used by the 'jpmap' package, including Japan prefecture example boundaries and official MLIT N03 administrative area data converted for 'jpmap'. Keeping these data in a separate package lets 'jpmap' update its functionality without repeatedly redistributing large boundary files on CRAN mirrors.
License: CC BY 4.0
Copyright: See inst/COPYRIGHTS.
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: sf
NeedsCompilation: no
Packaged: 2026-07-03 13:48:32 UTC; yh25m
Author: Yusaku Horiuchi [aut, cre]
Maintainer: Yusaku Horiuchi <yusaku.horiuchi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:30:20 UTC

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New package isoreader2 with initial version 0.6.1
Package: isoreader2
Title: Read Stable Isotope Data Files
Version: 0.6.1
Description: Interface to the raw data and metadata stored in the file formats commonly encountered in scientific disciplines that make use of stable isotopes. Supports Isodat (.dxf, .cf, .did, .caf, .scn), IonOS (.iarc), LyticOS (.larc), Callisto (.bch), and Qtegra (.imexp) file formats. Provides a consistent data structure together with tools to aggregate, convert signal units, filter, and visualize the extracted data. The approach is described in Kopf et al. (2021) <doi:10.21105/joss.02878>.
License: AGPL (>= 3)
Encoding: UTF-8
URL: https://isoreader2.isoverse.org/, https://github.com/isoverse/isoreader2
BugReports: https://github.com/isoverse/isoreader2/issues
Depends: R (>= 4.5.0)
Imports: ggplot2, tools, utils, methods, stats, rlang (>= 1.1.0), cli (>= 3.6.0), processx, readr, tibble, dplyr, tidyr, purrr, withr, RcppSimdJson, scales, fansi, knitr
Suggests: testthat (>= 3.0.0), vdiffr, arrow, openxlsx, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-03 17:58:55 UTC; seko0922
Author: Sebastian Kopf [aut, cre]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>
Repository: CRAN
Date/Publication: 2026-07-10 20:40:02 UTC

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New package inferencer with initial version 0.1.4.5
Package: inferencer
Title: Simple Unified Wrappers for Hosted Foundation Model Inference APIs
Version: 0.1.4.5
Author: Oliver Zhou [aut, cre]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>
Description: Provides lightweight R wrappers for querying and listing models from several hosted foundation model inference platforms, currently including Google Gemini, Groq, OpenRouter, Cerebras, and Ollama Cloud. The package is designed for simple inference workflows and quick experimentation, with minimal abstraction and a consistent interface across providers. It includes helper functions for model discovery, text generation, embeddings, image generation, and multimodal inputs, while leaving room for future support of provider-specific parameters and advanced options.
License: MIT + file LICENSE
URL: https://github.com/OliverLDS/inferencer
BugReports: https://github.com/OliverLDS/inferencer/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: data.table, httr2, jsonlite
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2026-07-03 06:42:35 UTC; oliver
Repository: CRAN
Date/Publication: 2026-07-10 20:10:09 UTC

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New package ggpower with initial version 0.1.2
Package: ggpower
Title: Publication-Ready Power Analysis and Visualization
Version: 0.1.2
Author: Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Description: Provides statistical power analysis and sample size calculations for t-tests, ANOVA, regression, chi-square, proportion, correlation, nonparametric, biomarker, and clinical trial designs. Includes a scriptable API via power_compute(), publication-ready 'ggplot2' visualizations, and an optional 'Shiny' application.
URL: https://github.com/YaoxiangLi/ggpower, https://yaoxiangli.github.io/ggpower/
BugReports: https://github.com/YaoxiangLi/ggpower/issues
License: GPL (>= 3)
Imports: bs4Dash, config, ggplot2, golem, shiny
Encoding: UTF-8
Suggests: knitr, pkgdown, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-03 19:58:15 UTC; Li
Repository: CRAN
Date/Publication: 2026-07-10 20:50:17 UTC

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New package doclingr with initial version 0.1.0
Package: doclingr
Title: Document Intelligence via 'Docling'
Version: 0.1.0
Description: An interface to 'Docling', a document-understanding library that converts 'PDF', 'DOCX', 'PPTX', 'HTML' and image documents into structured, AI-ready data. The package wraps the 'Docling' 'Python' package through 'reticulate' to extract layout-aware text, tables and metadata, export to 'Markdown' or 'JSON', and split documents into context-rich chunks suitable for retrieval-augmented generation (RAG) and embedding pipelines.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
URL: https://github.com/StrategicProjects/doclingr, https://strategicprojects.github.io/doclingr/
BugReports: https://github.com/StrategicProjects/doclingr/issues
SystemRequirements: Python (>= 3.9), docling (>= 2.20.0; tested with 2.107.0)
Imports: reticulate (>= 1.34.0), cli, rlang, stats, tibble
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-03 14:46:50 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-07-10 20:30:26 UTC

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New package derrick with initial version 0.1.1
Package: derrick
Title: Export 'gtsummary' Tables with 'reporter'
Version: 0.1.1
Date: 2026-06-26
Maintainer: Xiecheng Gu <guxc0405med@163.com>
Description: Convert 'gtsummary' tables and plain data frames into clinical-style Rich Text Format, plain text, Word, PDF, and HTML outputs using 'reporter', with managed widths, pagination, indentation, spanning headers, and optional intermediate data exports.
License: Apache License 2.0
URL: https://github.com/openpharma/derrick/
BugReports: https://github.com/openpharma/derrick/issues
Depends: R (>= 4.4)
Imports: dplyr, purrr, reporter (>= 1.4.7), rlang, stringi, tibble
Suggests: cards (>= 0.8.0), gtsummary (>= 2.5.1), knitr, rmarkdown, testthat (>= 3.3.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-03 11:03:37 UTC; Kathy Zhang
Author: Xiecheng Gu [aut, cre], Joe Zhu [aut], Bill Huang [aut]
Repository: CRAN
Date/Publication: 2026-07-10 20:30:31 UTC

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New package conflibertR with initial version 0.5.3
Package: conflibertR
Title: Inference and Fine-Tuning with 'ConfliBERT' Conflict Text Models
Version: 0.5.3
Description: An interface to 'ConfliBERT', a pretrained language model for analyzing text about conflict and political violence (Hu et al. (2022) <doi:10.18653/v1/2022.naacl-main.400>). Provides functions for named entity recognition, binary and multilabel classification, and question answering, plus tools to fine-tune custom classifiers, compare several base model architectures, and run an interactive active-learning loop for efficiently labeling new data. Models are downloaded from 'Hugging Face' and run through the 'transformers' library for 'Python' via the 'reticulate' package.
License: MIT + file LICENSE
URL: https://github.com/shreyasmeher/conflibertR
BugReports: https://github.com/shreyasmeher/conflibertR/issues
Encoding: UTF-8
Language: en
SystemRequirements: Python (>= 3.8); the Python modules 'torch', 'transformers' (>= 4.40), 'accelerate', 'peft', 'scikit-learn' and 'numpy', installable via conflibert_install()
Imports: cli, reticulate (>= 1.34), tibble
Suggests: ggplot2, knitr, miniUI, rmarkdown, rstudioapi, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-03 19:19:22 UTC; apple
Author: Shreyas Meher [aut, cre]
Maintainer: Shreyas Meher <shreyasmeher@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:40:09 UTC

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New package CDSimX with initial version 1.1.2
Package: CDSimX
Title: Simulating Climate Data for Research and Modelling
Version: 1.1.2
Date: 2026-06-25
Maintainer: Isaac Osei <ikemillar65@gmail.com>
Description: Advanced climate simulation, forecasting, visualization, export, and machine learning tools. Generates synthetic climate datasets for single or multiple weather stations using stochastic weather generation techniques. 'CDSimX' simulates daily climate variables including minimum and maximum temperature, rainfall, relative humidity, solar radiation, wind speed, wind direction, dew point temperature, and potential evapotranspiration. The package incorporates seasonal harmonic models, Markov chain rainfall occurrence processes, Gamma-distributed rainfall amounts, copula-based dependence structures, bias-correction procedures, and physical consistency constraints. 'CDSimX' supports climate data generation, environmental modeling, machine learning benchmarking, sensitivity analysis, and educational applications. Methods are based on established stochastic weather generation approaches described in Richardson (1981) <doi:10.1029/WR017i001p00182>, Wilks (1999) <doi:10.1016/S0168-1923( [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: copula, ggplot2, dplyr, tidyr, lubridate, randomForest, gbm, forecast, xgboost, nnet, ncdf4, rlang, readr, scales, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://ikemillar.github.io/CDSimX/
BugReports: https://github.com/ikemillar/CDSimX/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-03 06:25:47 UTC; isaacosei
Author: Isaac Osei [aut, cre], Acheampong Baafi-Adomako [aut], Jayanti Maji [aut]
Repository: CRAN
Date/Publication: 2026-07-10 20:10:26 UTC

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New package BSCB with initial version 1.0.0
Package: BSCB
Title: Bayesian Simultaneous Credible Bands for Polynomial Regression
Version: 1.0.0
Description: Provides functions to construct two-sided Bayesian simultaneous credible bands (BSCBs) for the regression curve in univariate polynomial regression over a finite covariate interval. Six methods are implemented, including Normal-Gamma conjugate priors (with empirical Bayes, unit-information, and g-prior hyperparameter specifications), non-conjugate priors fitted via Hamiltonian Monte Carlo (HMC) using 'cmdstanr', and a non-informative independent Jeffreys prior approach. Also includes functions for computing the empirical simultaneous coverage rate (ESCR) and posterior simultaneous coverage probability (PSCP), enabling performance comparison across methods. The methodology is described in: Yang, F., Han, Y., Liu, W., & Hall, I. (2026). "Bayesian simultaneous credible bands for polynomial regression" <doi:10.48550/arXiv.2606.28015>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: DEoptim, testthat (>= 3.0.0), cmdstanr, knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
Additional_repositories: https://stan-dev.r-universe.dev
Imports: mvtnorm, MASS, OptimalDesign, instantiate, posterior
Depends: R (>= 4.0)
Date: 2026-07-02
URL: https://github.com/fannyyang73/BSCB
BugReports: https://github.com/fannyyang73/BSCB/issues
NeedsCompilation: yes
Packaged: 2026-07-02 16:51:49 UTC; fei
Author: Fei Yang [aut, cre]
Maintainer: Fei Yang <fei.yang@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2026-07-10 20:10:32 UTC

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New package psAve with initial version 1.0.1
Package: psAve
Title: Model-Averaged Propensity Scores Selected by Prognostic-Score Balance
Version: 1.0.1
Description: Constructs a model-averaged propensity score as a convex combination of candidate propensity score models, with mixing weights selected on a simplex grid to optimize covariate or prognostic-score balance, implementing the method of Kabata, Stuart and Shintani (2024) <doi:10.1186/s12874-024-02350-y>. Prognostic scores follow Hansen (2008) <doi:10.1093/biomet/asn004>: outcome models are fit on untreated units only. The resulting score is designed to be supplied directly to the matchit() function of 'MatchIt' as a distance measure or to the weightit() function of 'WeightIt' as a propensity score, with balance assessment via 'cobalt'.
Depends: R (>= 4.1)
Imports: cobalt (>= 4.6.0), stats, utils, graphics
Suggests: MatchIt, WeightIt, SuperLearner, rpart, ranger, xgboost, survey, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
URL: https://kabajiro.github.io/psAve/, https://github.com/kabajiro/psAve
BugReports: https://github.com/kabajiro/psAve/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-02 21:56:07 UTC; kabajiro
Author: Daijiro Kabata [aut, cre, cph]
Maintainer: Daijiro Kabata <daijiro.kabata@port.kobe-u.ac.jp>
Repository: CRAN
Date/Publication: 2026-07-10 19:10:02 UTC

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New package DSDRM with initial version 0.1.3
Package: DSDRM
Title: Distributed Sampling for Dynamic Regression Models
Version: 0.1.3
Depends: R (>= 4.1.0)
Description: A toolbox for distributed dynamic regression modeling, parallel estimation, multiple distributed sampling algorithms (Metropolis-Hastings, block bootstrap, adaptive, hypergeometric), sparse matrix optimization, model visualization, prediction and performance evaluation. The philosophy of the package is described in Guo (2025) <doi:10.1038/s41598-025-93333-6>.
License: Apache License 2.0
Encoding: UTF-8
Imports: parallel, Matrix
Author: Guangbao Guo [aut, cre]
Maintainer: Guangbao Guo <ggb11111111@163.com>
NeedsCompilation: no
Language: en-US
Suggests: testthat
Packaged: 2026-06-27 09:28:12 UTC; admin
Repository: CRAN
Date/Publication: 2026-07-10 19:30:02 UTC

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New package bqmm with initial version 0.1.0
Package: bqmm
Title: Bayesian Multilevel Quantile Regression
Version: 0.1.0
Description: Fits Bayesian mixed-effects (multilevel) quantile regression models using the asymmetric Laplace working likelihood and Stan. Supports an 'lme4'-style formula interface with nested and crossed random effects, fitting one or several quantiles, post-hoc non-crossing rearrangement of fitted quantiles, and the Yang, Wang and He (2016) posterior-variance correction for valid frequentist inference from the (misspecified) asymmetric Laplace posterior.
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 4.0.0)
Imports: methods, stats, graphics, grDevices, lme4, Matrix, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools (>= 2.4.0), posterior
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0)
Suggests: bayesplot, ggplot2, lqmm, MASS, nlme, quantreg, testthat (>= 3.0.0), knitr, rmarkdown
SystemRequirements: GNU make
VignetteBuilder: knitr
URL: https://github.com/kvenkita/bqmm, https://kvenkita.github.io/bqmm/
BugReports: https://github.com/kvenkita/bqmm/issues
NeedsCompilation: yes
Packaged: 2026-06-29 11:45:38 UTC; kyle
Author: Kailas Venkitasubramanian [aut, cre, cph]
Maintainer: Kailas Venkitasubramanian <kailasv@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:00:02 UTC

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New package MBGapp with initial version 0.1.0
Package: MBGapp
Title: Interactive 'shiny' Application for Model-Based Geostatistics
Version: 0.1.0
Description: Provides an interactive 'shiny' application for teaching and applied analysis of geostatistical data. Users can explore spatial data, assess spatial correlation through the empirical variogram, fit model-based geostatistical models for continuous, prevalence and count outcomes, produce spatial predictions, and download reports. The methodology follows the model-based geostatistics framework of Diggle and Giorgi (2019, ISBN:9781138732353).
License: MIT + file LICENSE
URL: https://github.com/olatunjijohnson/MBGapp
BugReports: https://github.com/olatunjijohnson/MBGapp/issues
Encoding: UTF-8
Imports: geoR, ggplot2, shiny, sf, dplyr, readr, tidyr, magrittr, leaflet, leafem, tidyterra, stars, RiskMap, terra, grDevices, shinyjs, splines, httr2, rmarkdown
Suggests: INLA, covr, testthat (>= 3.0.0)
Additional_repositories: https://inla.r-inla-download.org/R/stable
NeedsCompilation: no
Packaged: 2026-07-02 20:59:52 UTC; olatunji-johnson
Author: Olatunji Johnson [cre, aut] , Claudio Fronterre [aut], Emanuele Giorgi [aut]
Maintainer: Olatunji Johnson <olatunjijohnson21111@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 19:00:08 UTC

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New package IMR with initial version 1.0.0
Package: IMR
Title: Incomplete Matrix Regression
Version: 1.0.0
Description: A framework for matrix completion and regression on response matrices with missing values. The model estimates missing entries using any combination of intercepts, row and column covariates, and a low-rank matrix approximation. It applies Lasso penalties on the covariates and a nuclear norm penalty on the low-rank component. It also adjusts for correlation within the rows and columns of the target matrix using similarity matrices. The framework is described in Fouda, Labbe and Oualkacha (2026) <doi:10.48550/arXiv.2606.26325>.
License: GPL (>= 3)
URL: https://github.com/khaledfouda/IMR
BugReports: https://github.com/khaledfouda/IMR/issues
Depends: R (>= 3.5)
Imports: fields, irlba, MASS, Matrix, methods, parallel, Rcpp, RSpectra, stats, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-07-02 16:16:40 UTC; khaledfouda
Author: Khaled Fouda [aut, cre] , Aurelie Labbe [ths, ctb], Karim Oualkacha [ths, ctb], Korbinian Strimmer [cph, ctb]
Maintainer: Khaled Fouda <khaled.fouda@hec.ca>
Repository: CRAN
Date/Publication: 2026-07-10 18:20:02 UTC

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New package ctreeMI with initial version 0.1.0
Package: ctreeMI
Title: Conditional Inference Trees with Stacked Multiple Imputation
Version: 0.1.0
Description: Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) <doi:10.1080/00273171.2026.2661244>. When data contain missing values, multiply imputed datasets (e.g., from 'mice') are stacked vertically and a single 'ctree' is fit on the combined data. To correct for the artificially inflated sample size introduced by stacking, the pruning significance threshold is divided by the number of imputations M (the Stack/M correction), producing a conservative but interpretable single tree that incorporates imputation uncertainty without requiring pooling of structurally different trees. Also exports stack_imputations() and rescale_alpha() as standalone utilities. The underlying 'ctree' algorithm is provided by 'partykit' (Hothorn & Zeileis, 2015; Hothorn, Hornik & Zeileis, 2006 <doi:10.1198/106186006X133933>).
License: GPL (>= 3)
Encoding: UTF-8
Imports: partykit (>= 1.2-0), mice (>= 3.0.0), methods
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.0.0)
URL: https://github.com/Phillip-Sherlock/ctreeMI
BugReports: https://github.com/Phillip-Sherlock/ctreeMI/issues
NeedsCompilation: no
Packaged: 2026-07-02 21:17:52 UTC; coe-phillip.sherlock
Author: Phillip Sherlock [aut, cre]
Maintainer: Phillip Sherlock <phillip.sherlock@ufl.edu>
Repository: CRAN
Date/Publication: 2026-07-10 19:00:02 UTC

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Thu, 09 Jul 2026

New package uygeo with initial version 0.1.0
Package: uygeo
Title: Geospatial Data for Uruguay
Version: 0.1.0
Description: Provides geospatial data for Uruguay, including country boundaries and administrative divisions (departments). Data are provided as 'sf' objects ready for use with the 'sf' and 'ggplot2' packages.
Language: en
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Suggests: sf, ggplot2, dplyr, testthat (>= 3.0.0)
URL: https://github.com/ManuelSpinola/uygeo
BugReports: https://github.com/ManuelSpinola/uygeo/issues
NeedsCompilation: no
Packaged: 2026-07-02 11:19:21 UTC; manuel_nuevo
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:10:03 UTC

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New package probcal with initial version 0.2.0
Package: probcal
Title: Calibration of Binary and Multiclass Probabilities
Version: 0.2.0
Description: Provides S3 calibrators, metrics, and diagnostics for binary and multiclass probability calibration. Binary methods include Platt scaling, temperature scaling, beta calibration, histogram binning, and isotonic regression. Multiclass methods include temperature scaling, vector scaling, Dirichlet calibration, and a one-vs-rest wrapper for the binary calibrators. A calibration-inference layer adds debiased calibration errors, bootstrap confidence intervals, and a kernel calibration hypothesis test for binary and multiclass predictions, including the strong (canonical) multiclass case. Methods follow Platt (1999, ISBN:9780262194488), Zadrozny and Elkan (2002) <doi:10.1145/775047.775151>, Guo et al. (2017) <https://proceedings.mlr.press/v70/guo17a.html>, Kull et al. (2017) <doi:10.1214/17-EJS1338SI>, Kull et al. (2019) <doi:10.48550/arXiv.1910.12656>, Widmann et al. (2019) <doi:10.48550/arXiv.1910.11385>, and Kumar et al. (2019) <doi:10.48550/arXiv.1909.1015 [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
Imports: cli, ggplot2, stats, withr
Suggests: betacal, dplyr, knitr, pkgdown, reticulate, rmarkdown, roxygen2, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://prdm0.github.io/probcal/, https://github.com/prdm0/probcal/
BugReports: https://github.com/prdm0/probcal/issues/
NeedsCompilation: no
Packaged: 2026-07-02 14:42:21 UTC; prdm0
Author: Pedro Rafael Diniz Marinho [aut, cre, cph]
Maintainer: Pedro Rafael Diniz Marinho <pedro.rafael.marinho@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:20:02 UTC

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