CRANberries

Fri, 31 Oct 2025

New package SEMsensitivity with initial version 0.1.0
Package: SEMsensitivity
Title: SEM Sensitivity Analysis
Version: 0.1.0
Maintainer: Biying Zhou <biying.zhou@psu.edu>
Description: Performs sensitivity analysis for Structural Equation Modeling (SEM). It determines which sample points need to be removed for the sign of a specific path in the SEM model to change, thus assessing the robustness of the model. Methodological manuscript in preparation.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lavaan, dplyr, R.utils, semfindr, stats, methods,
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-27 22:43:23 UTC; zby15
Author: Biying Zhou [aut, cre] , Feng Ji [aut]
Repository: CRAN
Date/Publication: 2025-10-31 18:10:08 UTC

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New package ProduceR with initial version 1.0
Package: ProduceR
Title: Concise and Efficient Tools for Everyday Statistical Production
Version: 1.0
Description: A set of concise and efficient tools for statistical production. Can also be used for data management. In statistical production, you deal with complex data and need to control your process at each step of your work. Concise functions are very helpful, because you do not hesitate to use them. The following functions are included in the package. 'dup' checks duplicates. 'miss' checks missing values. 'tac' computes contingency table of all columns. 'toc' compares two tables, spotting significant deviations. 'chi2_find' compares columns within a data.frame, spotting related categories of (a more complex function).
Encoding: UTF-8
Imports: dplyr, rlang, tibble
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-10-28 12:50:38 UTC; vincent.reduron
Author: Vincent Reduron [cre, aut]
Maintainer: Vincent Reduron <vincent.reduron@laposte.net>
Repository: CRAN
Date/Publication: 2025-10-31 18:30:02 UTC

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New package PenguinR with initial version 0.1.0
Package: PenguinR
Title: A Comprehensive Collection of Penguin Datasets for Statistical Analysis and Experimental Design
Version: 0.1.0
Maintainer: Juan Pablo Vargas Perez <j.pablovargas340@gmail.com>
Description: Offers a comprehensive collection of penguin-related datasets suitable for descriptive statistics, hypothesis testing, and experimental design. Derived from open ecological and biological sources such as Palmer Station studies, the package integrates datasets covering adult morphology, clutch size, blood isotope composition, and heart rate. It is designed for researchers, students, and educators to explore statistical methods including ANOVA, regression, multivariate analysis, and design of experiments in an accessible and reproducible context.
License: GPL-3
URL: https://github.com/jpablovargas340/PenguinR, https://jpablovargas340.github.io/PenguinR/
BugReports: https://github.com/jpablovargas340/PenguinR/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-28 00:07:17 UTC; Juan Pablo
Author: Juan Pablo Vargas Perez [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-31 18:10:14 UTC

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New package mKBO with initial version 0.1.0
Package: mKBO
Title: Multi-Group Kitagawa-Blinder-Oaxaca Decomposition
Version: 0.1.0
Description: Provides multigroup Kitagawa-Blinder-Oaxaca ('mKBO') decompositions, that allow for more than two groups. Each group is compared to the sample average. For more details see Thaning and Nieuwenhuis (2025) <doi:10.31235/osf.io/6twvj_v1>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dplyr, tidyr, purrr, stats, tibble, tidyselect, stringr, rlang, broom, utils
NeedsCompilation: no
Packaged: 2025-10-28 09:33:14 UTC; rniee
Author: Rense Nieuwenhuis [cre, aut] , Max Thaning [aut]
Maintainer: Rense Nieuwenhuis <rense.nieuwenhuis@sofi.su.se>
Repository: CRAN
Date/Publication: 2025-10-31 18:20:13 UTC

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New package hirisplexr with initial version 0.1.0
Package: hirisplexr
Title: From 'PLINK' to 'HIrisPlex'
Version: 0.1.0
Maintainer: Andrea Giardina <andrea.giardina1@open.ac.uk>
Description: Read 'PLINK' 1.9 binary datasets (BED/BIM/FAM) and generate the CSV files required by the Erasmus MC 'HIrisPlex' / 'HIrisPlex-S' webtool <https://hirisplex.erasmusmc.nl/>. It maps 'PLINK' alleles to the webtool's required 'rsID_Allele' columns (0/1/2/NA). No external tools (e.g., 'PLINK CLI') are required.
License: MIT + file LICENSE
URL: https://github.com/adhikari-statgen-lab/hirisplexr
BugReports: https://github.com/adhikari-statgen-lab/hirisplexr/issues
Depends: R (>= 3.6)
Imports: BEDMatrix, data.table, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-28 10:46:01 UTC; agiardina
Author: Andrea Giardina [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-31 18:20:17 UTC

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New package amsSim with initial version 0.1.0
Package: amsSim
Title: Adaptive Multilevel Splitting for Option Simulation and Pricing
Version: 0.1.0
Description: Simulation and pricing routines for rare-event options using Adaptive Multilevel Splitting and standard Monte Carlo under Black-Scholes and Heston models. Core routines are implemented in C++ via Rcpp and RcppArmadillo with lightweight R wrappers.
License: MIT + file LICENSE
URL: https://github.com/RiccardoGozzo/amsSim, https://arxiv.org/html/2510.23461v1
BugReports: https://github.com/RiccardoGozzo/amsSim/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17
ByteCompile: true
NeedsCompilation: yes
Suggests: testthat (>= 3.0.0)
Packaged: 2025-10-28 11:45:15 UTC; riccardogozzo
Author: Riccardo Gozzo [aut, cre]
Maintainer: Riccardo Gozzo <gozzoriccardo0@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-31 18:20:23 UTC

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New package tabler with initial version 0.1.0
Package: tabler
Title: Create Dashboards with 'Tabler' and 'Shiny'
Version: 0.1.0
Description: Provides functions to build interactive dashboards combining the 'Tabler UI Kit' with 'Shiny', making it easy to create professional-looking web applications. 'Tabler' is fully responsive and compatible with all modern browsers. Offers customizable layouts and components built with 'HTML5' and 'CSS3'. The underlying 'Tabler' (<https://github.com/tabler/tabler>) and 'Tabler Icons' (<https://github.com/tabler/tabler-icons>) were pre-built from source to eliminate the need for 'Node.js' and 'NPM' on package installation.
URL: https://github.com/pachadotdev/tabler
BugReports: https://github.com/pachadotdev/tabler/issues
Depends: R (>= 3.5.0)
License: Apache License (>= 2)
Imports: htmltools
Suggests: DT, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-27 17:44:00 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre], Tabler [ctb, cph]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-31 17:50:08 UTC

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Thu, 30 Oct 2025

New package svytest with initial version 1.1.0
Package: svytest
Title: Survey Weight Diagnostic Tests
Version: 1.1.0
Description: Provides diagnostic tests for assessing the informativeness of survey weights in regression models. Implements difference-in-coefficients tests (Hausman 1978 <doi:10.2307/1913827>; Pfeffermann 1993 <doi:10.2307/1403631>), weight-association tests (DuMouchel and Duncan 1983 <doi:10.2307/2288185>; Pfeffermann and Sverchkov 1999 <https://www.jstor.org/stable/25051118>; Pfeffermann and Sverchkov 2003 <ISBN:9780470845672>; Wu and Fuller 2005 <https://www.jstor.org/stable/27590461>), estimating equations tests (Pfeffermann and Sverchkov 2003 <ISBN:9780470845672>), and non-parametric permutation tests. Includes simulation utilities replicating Wang et al. (2023 <doi:10.1111/insr.12509>) and extensions.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: Rcpp, survey
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, MASS, rmarkdown, sampling, dplyr, tidyr, tibble, future.apply, broom, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-10-27 14:57:19 UTC; cnlub
Author: Corbin Lubianski [aut, cre, cph]
Maintainer: Corbin Lubianski <cnlubianski@yahoo.com>
Repository: CRAN
Date/Publication: 2025-10-30 20:20:02 UTC

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New package lang with initial version 0.1.0
Package: lang
Title: Translates R Help Documentation using Large Language Models
Version: 0.1.0
Description: Translates R help documentation on the fly by using a Large Language model of your choice. If you are using 'RStudio' or 'Positron' the translated help will appear in the help pane.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: callr, cli, fs, glue, mall, rlang, rstudioapi, tools, withr
Suggests: testthat (>= 3.0.0), ellmer
URL: https://mlverse.github.io/lang/
NeedsCompilation: no
Packaged: 2025-10-27 12:43:42 UTC; edgar
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@posit.co>
Repository: CRAN
Date/Publication: 2025-10-30 20:10:02 UTC

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New package DLFM with initial version 0.1.0
Package: DLFM
Version: 0.1.0
Title: Distributed Laplace Factor Model
Description: Distributed estimation method is based on a Laplace factor model to solve the estimates of load and specific variance. The philosophy of the package is described in Guangbao Guo. (2022). <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, FarmTest, MASS, LaplacesDemon, matrixcalc, relliptical, LFM
NeedsCompilation: no
Language: en-US
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Depends: R (>= 3.5.0)
BuildManual: yes
Suggests: testthat (>= 3.0.0)
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Date/Publication: 2025-10-30 20:10:08 UTC
Packaged: 2025-10-27 12:08:43 UTC; R7000

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New package RootscanR with initial version 0.0.1
Package: RootscanR
Title: Stitching and Analyzing Root Scans
Version: 0.0.1
Author: Sophie Kersting [aut, cre] , Linda Knuever [aut], Mareike Fischer [aut]
Maintainer: Sophie Kersting <sophie.kersting@uni-greifswald.de>
Description: Minirhizotrons are widely used to observe and explore roots and their growth. This package provides the means to stitch images and divide them into depth layers. Please note that this R package was developed alongside the following manuscript: Stitching root scans and extracting depth layer information -- a workflow and practical examples, S. Kersting, L. Knüver, and M. Fischer. The manuscript is currently in preparation and should be citet as soon as it is available. This project was supported by the project ArtIGROW, which is a part of the WIR!-Alliance ArtIFARM – Artificial Intelligence in Farming funded by the German Federal Ministry of Research, Technology and Space (No. 03WIR4805).
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: stringr, grid, png, abind, parallel
Suggests:
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-27 12:40:26 UTC; Maus
Repository: CRAN
Date/Publication: 2025-10-30 20:00:02 UTC

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New package greenSD with initial version 0.1.1
Package: greenSD
Title: Access and Analyze Global GreenSpace Spatial Data
Version: 0.1.1
Description: Access and analyze multi-band greenspace seasonality data cubes (available for 1,028 major global cities), global Normalized Difference Vegetation Index / land cover data from the European Space Agency WorldCover 10m Dataset, and Sentinel-2-l2a images. Users can download data using bounding boxes, city names, and filter by year or seasonal time window. The package also supports calculating human exposure to greenspace using a population-weighted greenspace exposure model introduced by Chen et al. (2022) <doi:10.1038/s41467-022-32258-4> based on Global Human Settlement Layer population data, and calculating a set of greenspace morphology metrics at patch and landscape levels.
URL: https://github.com/billbillbilly/greenSD, https://billbillbilly.github.io/greenSD/
BugReports: https://github.com/billbillbilly/greenSD/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: terra, maptiles, sf, future, furrr, purrr, nominatimlite, utils, cli, dsmSearch, rstac, landscapemetrics, magick, aws.s3, dplyr, tidyr, stringr, tibble, grDevices, rlang
NeedsCompilation: no
Packaged: 2025-10-26 23:24:16 UTC; xiaohaoyang
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy111@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-30 19:50:02 UTC

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New package GMC with initial version 0.1.1
Package: GMC
Title: Generalized Measure of Correlation (GMC)
Version: 0.1.1
Description: Provides tools to compute the Generalized Measure of Correlation (GMC), a dependence measure accounting for nonlinearity and asymmetry in the relationship between variables. Based on the method proposed by Zheng, Shi, and Zhang (2012).
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Imports: ks, stats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-27 08:45:18 UTC; ding'x'j
Author: Xuejing Ding [aut, cre], Zhengjun Zhang [aut]
Maintainer: Xuejing Ding <dingxuejing24@mails.ucas.ac.cn>
Repository: CRAN
Date/Publication: 2025-10-30 20:00:09 UTC

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New package contentanalysis with initial version 0.2.0
Package: contentanalysis
Title: Scientific Content and Citation Analysis from PDF Documents
Version: 0.2.0
Description: Provides comprehensive tools for extracting and analyzing scientific content from PDF documents, including citation extraction, reference matching, text analysis, and bibliometric indicators. Supports multi-column PDF layouts, 'CrossRef' API <https://www.crossref.org/documentation/retrieve-metadata/rest-api/> integration, and advanced citation parsing.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: base64enc (>= 0.1-3), dplyr (>= 1.1.0), httr2 (>= 0.2.0), igraph, jsonlite (>= 2.0.0), magrittr (>= 2.0.4), openalexR (>= 2.0.2), pdftools (>= 3.6.0), purrr (>= 1.1.0), stringr (>= 1.5.2), tibble (>= 3.3.0), tidyr (>= 1.3.0), tidytext (>= 0.4.3), visNetwork (>= 2.1.4)
Suggests: knitr, plotly, RColorBrewer, rmarkdown, scales, stringdist, testthat (>= 3.0.0), mockery
URL: https://github.com/massimoaria/contentanalysis,
BugReports: https://github.com/massimoaria/contentanalysis/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-27 08:16:47 UTC; massimoaria
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>
Repository: CRAN
Date/Publication: 2025-10-30 19:50:06 UTC

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New package BayesSIM with initial version 0.1.4
Package: BayesSIM
Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Version: 0.1.4
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <c>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1), nimble, ggplot2
Imports: magrittr, patchwork, tidyr, coda, mvtnorm, methods, MASS
NeedsCompilation: no
Packaged: 2025-10-27 05:49:50 UTC; eklee
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>
Suggests: testthat (>= 3.0.0)
Repository: CRAN
Date/Publication: 2025-10-30 20:00:14 UTC

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New package socialSim with initial version 0.1.6
Package: socialSim
Title: Simulate and Analyse Social Interaction Data
Version: 0.1.6
Description: Provides tools to simulate and analyse datasets of social interactions between individuals using hierarchical Bayesian models implemented in Stan. The package interacts with Stan via 'cmdstanr' (available from <https://mc-stan.org/r-packages/>) or 'rstan', depending on user setup. Users can generate realistic interaction data where individual phenotypes influence and respond to those of their partners, with control over sampling design parameters such as the number of individuals, partners, and repeated dyads. The simulation framework allows flexible control over variation and correlation in mean trait values, social responsiveness, and social impact, making it suitable for research on interacting phenotypes and on direct and indirect genetic effects ('DGEs' and 'IGEs'). The package also includes functions to fit and compare alternative models of social effects, including impact–responsiveness, variance–partitioning, and trait-based models, and to summarise model performance in t [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2)
Imports: MASS, stats, future, future.apply,
Suggests: rstan, cmdstanr, devtools, testthat, rmarkdown, knitr
VignetteBuilder: knitr
URL: https://github.com/RoriWijnhorst/socialSim
BugReports: https://github.com/RoriWijnhorst/socialSim/issues
Additional_repositories: https://stan-dev.r-universe.dev
NeedsCompilation: no
Packaged: 2025-10-26 21:36:19 UTC; Wijnhorst
Author: Rori Efrain Wijnhorst [aut, cre]
Maintainer: Rori Efrain Wijnhorst <roriwijnhorst@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-30 14:20:02 UTC

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New package infotest with initial version 0.1.0
Package: infotest
Title: Information Matrix Test for Regression Models
Version: 0.1.0
Maintainer: Hasraddin Guliyev <hasradding@unec.edu.az>
Description: Implements the Information Matrix test for regression models following Cameron, A. C., & Trivedi, P. K. (1990) <https://cameron.econ.ucdavis.edu/research/imtest_impliedalternatives_ucdwp372.pdf> Decomposes the test into components for heteroscedasticity, skewness, and kurtosis to diagnose specific forms of misspecification. Provides both overall and component-wise statistics for model assessment.
License: GPL (>= 3)
Depends: R (>= 3.6.0)
Imports: stats
Suggests: spelling
Encoding: UTF-8
URL: https://github.com/guliyevh/infotest
BugReports: https://github.com/guliyevh/infotest/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-26 22:52:58 UTC; macbookm4
Author: Hasraddin Guliyev [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-30 14:30:02 UTC

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Wed, 29 Oct 2025

New package samplex with initial version 0.3.0
Package: samplex
Title: Shiny Tool for Sample Size Calculation
Version: 0.3.0
Description: An interactive 'shiny' application to assist in determining sample sizes for common survey designs such as 'simple random sampling', 'stratified sampling', and 'cluster sampling'. It includes formulas, helper calculators, and illustrative examples.
License: MIT + file LICENSE
Depends: R (>= 3.5)
Imports: shiny
Suggests: knitr, rmarkdown, DT, dplyr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en
NeedsCompilation: no
Packaged: 2025-10-26 09:15:59 UTC; grami
Author: Gustavo Ramirez-Valverde [aut, cre], Benito Ramirez-Valverde [aut]
Maintainer: Gustavo Ramirez-Valverde <gramirez@colpos.mx>
Repository: CRAN
Date/Publication: 2025-10-29 20:10:02 UTC

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New package minorparties with initial version 1.0.0
Package: minorparties
Title: Quantitatively Analyze Minor Political Parties
Version: 1.0.0
Description: Tools for calculating I-Scores, a simple way to measure how successful minor political parties are at influencing the major parties in their environment. I-Scores are designed to be a more comprehensive measurement of minor party success than vote share and legislative seats won, the current standard measurements, which do not reflect the strategies that most minor parties employ. The procedure leverages the Manifesto Project's NLP model to identify the issue areas that sentences discuss, see Burst et al. (2024) <doi:10.25522/manifesto.manifestoberta.56topics.context.2024.1.1>, and the Wordfish algorithm to estimate the relative positions that platforms take on those issue areas, see Slapin and Proksch (2008) <doi:10.1111/j.1540-5907.2008.00338.x>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), withr
Imports: dplyr, purrr, quanteda, quanteda.textmodels, reticulate, rlang, spacyr, stats, stringi, stringr, tibble, tidyr
Depends: R (>= 4.1.0)
URL: https://gerckentheodore.github.io/minorparties/
NeedsCompilation: no
Packaged: 2025-10-26 20:03:48 UTC; TheodoreGercken
Author: Theodore Gercken [aut, cre, cph]
Maintainer: Theodore Gercken <tgercken@hamilton.edu>
Repository: CRAN
Date/Publication: 2025-10-29 20:10:12 UTC

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New package BayesPower with initial version 1.0.1
Package: BayesPower
Title: Sample Size and Power Calculation for Bayesian Testing with Bayes Factor
Version: 1.0.1
Description: The goal of 'BayesPower' is to provide tools for Bayesian sample size determination and power analysis across a range of common hypothesis testing scenarios using Bayes factors. The main function, BayesPower_BayesFactor(), launches an interactive 'shiny' application for performing these analyses. The application also provides command-line code for reproducibility. Details of the methods are described in the tutorial by Wong, Pawel, and Tendeiro (2025) <doi:10.31234/osf.io/pgdac_v1>.
BugReports: https://github.com/tkWong3004/BayesPower/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: rlang, shiny, gsl, Rcpp, ExtDist, ggplot2, patchwork, rmarkdown, glue, hypergeo, rootSolve, shinyWidgets
LinkingTo: Rcpp, BH
NeedsCompilation: yes
Packaged: 2025-10-26 08:54:28 UTC; u971096
Author: Tsz Keung Wong [aut, cre], Samuel Pawel [aut], Jorge Tendeiro [aut]
Maintainer: Tsz Keung Wong <t.k.wong3004@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-29 20:10:17 UTC

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New package survC with initial version 0.1.0
Package: survC
Title: Survival Model Validation Utilities
Version: 0.1.0
Author: Minhyuk Kim [aut, cre]
Maintainer: Minhyuk Kim <mhkim@zarathu.com>
Description: Provides helper functions to compute linear predictors, time-dependent ROC curves, and Harrell's concordance index for Cox proportional hazards models as described in Therneau (2024) <https://CRAN.R-project.org/package=survival>, Therneau and Grambsch (2000, ISBN:0-387-98784-3), Hung and Chiang (2010) <doi:10.1002/cjs.10046>, Uno et al. (2007) <doi:10.1198/016214507000000149>, Blanche, Dartigues, and Jacqmin-Gadda (2013) <doi:10.1002/sim.5958>, Blanche, Latouche, and Viallon (2013) <doi:10.1007/978-1-4614-8981-8_11>, Harrell et al. (1982) <doi:10.1001/jama.1982.03320430047030>, Peto and Peto (1972) <doi:10.2307/2344317>, Schemper (1992) <doi:10.2307/2349009>, and Uno et al. (2011) <doi:10.1002/sim.4154>.
Imports: survival, stats, timeROC, officer, rvg
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://newjoseph.github.io/survC/
Suggests: magrittr, jstable, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-24 00:33:07 UTC; minhyuk.kim
Repository: CRAN
Date/Publication: 2025-10-29 19:40:02 UTC

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New package sdbuildR with initial version 1.0.5
Package: sdbuildR
Title: Easily Build, Simulate, and Visualise Stock-and-Flow Models
Version: 1.0.5
Date: 2025-10-23
Description: Stock-and-flow models are a computational method from the field of system dynamics. They represent how systems change over time and are mathematically equivalent to ordinary differential equations. 'sdbuildR' (system dynamics builder) provides an intuitive interface for constructing stock-and-flow models without requiring extensive domain knowledge. Models can quickly be simulated and revised, supporting iterative development. 'sdbuildR' simulates models in 'R' and 'Julia', where 'Julia' offers unit support and large-scale ensemble simulations. Additionally, 'sdbuildR' can import models created in 'Insight Maker' (<https://insightmaker.com/>).
URL: https://kcevers.github.io/sdbuildR/, https://github.com/KCEvers/sdbuildR
BugReports: https://github.com/KCEvers/sdbuildR/issues
Depends: R (>= 4.2.0)
Imports: data.table, deSolve, DiagrammeR, dplyr, igraph, jsonlite, JuliaConnectoR, magrittr, parallel, plotly, purrr, rlang, rvest, stringr, xml2
Suggests: DiagrammeRsvg, htmlwidgets, kableExtra, knitr, rsvg, styler, testthat (>= 3.0.0), textutils, webshot2
Encoding: UTF-8
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2025-10-24 13:23:48 UTC; kevers1
Author: Kyra Caitlin Evers [aut, cre, cph]
Maintainer: Kyra Caitlin Evers <kyra.c.evers@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-29 19:50:02 UTC

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New package projoint with initial version 1.0.6
Package: projoint
Title: Conjoint Analysis with Reliability Correction and Visualization
Version: 1.0.6
Date: 2025-10-24
Maintainer: Yusaku Horiuchi <yusaku.horiuchi@gmail.com>
Author: Yusaku Horiuchi [aut, cre] , Aaron Kaufman [aut] , Gary King [aut]
Description: Provides tools for analyzing data generated from conjoint survey experiments, a method widely used in the social sciences for studying multidimensional preferences. The package implements estimation of marginal means (MMs) and average marginal component effects (AMCEs), with corrections for measurement error. Methods include profile-level and choice-level estimators, bias correction using intra-respondent reliability (IRR), and visualization utilities. For details on the methodology, see Clayton, Horiuchi, Kaufman, King, and Komisarchik (2025) <https://gking.harvard.edu/conjointE>.
Imports: dplyr (>= 1.1.2), readr, rlang, tidyr, stringr, tidyselect, estimatr, ggthemes, ggplot2, stats, tibble, methods, MASS, forcats, scales
Suggests: tidyverse, knitr, rmarkdown, downloadthis, patchwork, testthat (>= 3.0.0), DiagrammeR
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://yhoriuchi.github.io/projoint/
Depends: R (>= 4.1.0)
LazyData: false
BugReports: https://github.com/yhoriuchi/projoint/issues
NeedsCompilation: no
Packaged: 2025-10-24 22:41:21 UTC; yusakuhoriuchi
Repository: CRAN
Date/Publication: 2025-10-29 19:50:09 UTC

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New package openesm with initial version 0.1.0
Package: openesm
Title: Access the Open Experience Sampling Method Database
Version: 0.1.0
Description: Provides programmatic access to the Open Experience Sampling Method ('openESM') database (<https://openesmdata.org>), a collection of harmonized experience sampling datasets. The package enables researchers to discover, download, and work with the datasets while ensuring proper citation and license compliance.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli (>= 3.6.0), fs, httr2, jsonlite, readr, purrr, dplyr, tibble, zen4R
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/openesm-project/openesm-r
BugReports: https://github.com/openesm-project/openesm-r/issues
NeedsCompilation: no
Packaged: 2025-10-25 06:24:36 UTC; Bjoern
Author: Bjoern S. Siepe [aut, cre, cph] , Matthias Kloft [aut]
Maintainer: Bjoern S. Siepe <bjoernsiepe@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-29 20:00:07 UTC

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New package FactorCopulaModel with initial version 0.1.0
Package: FactorCopulaModel
Title: Factor Copula Models
Version: 0.1.0
Description: Inference methods for factor copula models for continuous data in Krupskii and Joe (2013) <doi:10.1016/j.jmva.2013.05.001>, Krupskii and Joe (2015) <doi:10.1016/j.jmva.2014.11.002>, Fan and Joe (2024) <doi:10.1016/j.jmva.2023.105263>, one factor truncated vine models in Joe (2018) <doi:10.1002/cjs.11481>, and Gaussian oblique factor models. Functions for computing tail-weighted dependence measures in Lee, Joe and Krupskii (2018) <doi:10.1080/10485252.2017.1407414> and estimating tail dependence parameter.
License: GPL-3
Imports: cubature, igraph, VineCopula
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-10-25 06:04:23 UTC; krups
Author: Harry Joe [aut], Pavel Krupskii [aut, cre], Xinyao Fan [aut], Allan Macleod [cph], Robert Gentleman [cph], Ross Ihaka [cph]
Maintainer: Pavel Krupskii <pavel.krupskiy@unimelb.edu.au>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-29 20:00:11 UTC

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New package edar with initial version 0.0.5
Package: edar
Title: Convenient Functions for Exploratory Data Analysis
Version: 0.0.5
Description: A collection of convenient functions to facilitate common tasks in exploratory data analysis. Some common tasks include generating summary tables of variables, displaying tables as a 'flextable' or a 'kable' and showing distributions of variables using 'ggplot2'. Labels stating the source file with run time can be easily generated for annotation in tables and plots.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://soutomas.github.io/edar/, https://github.com/soutomas/edar/
BugReports: https://github.com/soutomas/edar/issues
Imports: dplyr, flextable, grDevices, janitor, kableExtra, knitr, magrittr, patchwork, rlang, rstudioapi, scales, tidyr
Suggests: ggplot2, gt
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2025-10-24 16:23:16 UTC; tomas
Author: Tomas Sou [aut, cre]
Maintainer: Tomas Sou <tomas.sou@carexer.com>
Repository: CRAN
Date/Publication: 2025-10-29 19:50:16 UTC

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Tue, 28 Oct 2025

New package spdgp with initial version 0.1.0
Package: spdgp
Title: Simulate Spatial Data Generation Processes
Version: 0.1.0
Description: Provides functionality for simulating data generation processes across various spatial regression models, conceptually aligned with the 'dgp' module of the 'Python' library 'spreg' <https://pysal.org/spreg/api.html#dgp>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
URL: https://josiahparry.github.io/spdgp/, https://github.com/josiahparry/spdgp
BugReports: https://github.com/josiahparry/spdgp/issues
Imports: cli, MASS, Matrix, methods, rlang, sf, smoothmest, spatialreg, spdep, stats, vctrs
NeedsCompilation: no
Packaged: 2025-10-23 13:53:26 UTC; dell
Author: Josiah Parry [aut] , Wenbo Lv [aut, cre] , Edzer Pebesma [ctb]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:20:02 UTC

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New package modeltuning with initial version 0.1.2
Package: modeltuning
Title: Model Selection and Tuning Utilities
Version: 0.1.2
Description: Provides a lightweight framework for model selection and hyperparameter tuning in R. The package offers intuitive tools for grid search, cross-validation, and combined grid search with cross-validation that work seamlessly with virtually any modeling package. Designed for flexibility and ease of use, it standardizes tuning workflows while remaining fully compatible with a wide range of model interfaces and estimation functions.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: future.apply, progressr, R6, rlang
Suggests: e1071, future, parallelly, paws, rsample, rpart, yardstick, knitr, rmarkdown
URL: https://www.dmolitor.com/modeltuning/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-23 18:13:12 UTC; dmolitor
Author: Daniel Molitor [aut, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:50:02 UTC

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New package ksm with initial version 1.0
Package: ksm
Title: Kernel Density Estimation for Random Symmetric Positive Definite Matrices
Version: 1.0
Description: Kernel smoothing for Wishart random matrices described in Daayeb, Khardani and Ouimet (2025) <doi:10.48550/arXiv.2506.08816>, Gaussian and log-Gaussian models using least square or likelihood cross validation criteria for optimal bandwidth selection.
BugReports: https://github.com/lbelzile/ksm/issues
Imports: Rcpp (>= 1.0.12)
Suggests: cubature, tinytest
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
License: MIT + file LICENSE
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2025-10-23 15:15:27 UTC; lbelzile
Author: Leo Belzile [aut, cre] , Frederic Ouimet [aut]
Maintainer: Leo Belzile <belzilel@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:30:02 UTC

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New package HPZoneAPI with initial version 1.0.0
Package: HPZoneAPI
Title: 'HPZone' API Interface
Version: 1.0.0
Maintainer: Aart Dijkstra <a.dijkstra@ggdnog.nl>
Description: Package that simplifies the use of the 'HPZone' API. Most of the annoying and labor-intensive parts of the interface are handled by wrapper functions. Note that the API and its details are not publicly available. Information can be found at <https://www.ggdghorkennisnet.nl/groep/726-platform-infectieziekte-epidemiologen/documenten/map/9609> for those with access.
URL: https://github.com/ggdatascience/HPZoneAPI
BugReports: https://github.com/ggdatascience/HPZoneAPI/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, httr2, jsonlite, keyring, lubridate, magrittr, readxl, rstudioapi, safer, stringr
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-23 11:04:02 UTC; a.dijkstra
Author: Aart Dijkstra [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-10-28 12:20:08 UTC

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New package ganttify with initial version 0.1.1
Package: ganttify
Title: Create Interactive Gantt Charts with Work Breakdown Structure
Version: 0.1.1
Description: Create Primavera-style interactive Gantt charts with Work Breakdown Structure (WBS) hierarchy and activities. Features include color-coded WBS items, indented labels, scrollable views for large projects, dynamic date formatting, and the ability to dim past activities. Built on top of plotly for interactive visualizations.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: plotly (>= 4.9.0), dplyr (>= 1.0.0), htmlwidgets (>= 1.5.0), magrittr, rlang
Suggests: knitr, rmarkdown
URL: https://github.com/AhmedAredah/Ganttify
BugReports: https://github.com/AhmedAredah/Ganttify/issues
NeedsCompilation: no
Packaged: 2025-10-23 14:38:05 UTC; A-Aredah
Author: Ahmed Aredah [aut, cre]
Maintainer: Ahmed Aredah <Ahmed.Aredah@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:30:08 UTC

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New package easynem with initial version 1.0.3
Package: easynem
Title: Nematode Community Analysis
Version: 1.0.3
Description: Provides a built-in Nemaplex database for nematodes, which can be used to search for various nematodes. Also supports various nematode community and functional analyses such as nematode diversity, maturity index, metabolic footprint, and functional guild. The methods are based on <https://shiny.wur.nl/ninja/>, Bongers, T. (1990) <doi:10.1007/BF00324627>, Ferris, H. (2010) <doi:10.1016/j.ejsobi.2010.01.003>, Wan, B. et al. (2022) <doi:10.1016/j.soilbio.2022.108695>, and Van Den Hoogen, J. et al. (2019) <doi:10.1038/s41586-019-1418-6>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: agricolae, broom, dplyr, DT, ggplot2, ggpubr, ggraph, igraph, methods, multcompView, readr, reshape2, rlang, rstatix, shiny, shinydashboard, stats, Ternary, tibble, tidyr, utils, vegan
Depends: R (>= 4.1.0)
LazyData: true
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-23 15:20:21 UTC; wkg
Author: Wang Kunguang [aut, cre]
Maintainer: Wang Kunguang <whkygl@163.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:30:13 UTC

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New package CspStandSegmentation with initial version 0.1.2
Package: CspStandSegmentation
Title: Comparative Shortest Path Forest Stand Segmentation from LiDAR Data
Version: 0.1.2
Description: Functionality for segmenting individual trees from a forest stand scanned with a close-range (e.g., terrestrial or mobile) laser scanner. The complete workflow from a raw point cloud to a complete tabular forest inventory is provided. The package contains several algorithms for detecting tree bases and a graph-based algorithm to attach all remaining points to these tree bases. It builds heavily on the 'lidR' package. A description of the segmentation algorithm can be found in Larysch et al. (2025) <doi:10.1007/s10342-025-01796-z>.
URL: https://github.com/JulFrey/CspStandSegmentation
BugReports: https://github.com/JulFrey/CspStandSegmentation/issues
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.5), lidR, dbscan, igraph, foreach, doParallel, magrittr, data.table, sf, terra, RCSF, conicfit, rgl
LinkingTo: Rcpp, RcppArmadillo, lidR, BH
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-10-23 15:37:21 UTC; Frey
Author: Julian Frey [aut, cre] , Zoe Schindler [ctb]
Maintainer: Julian Frey <julian.frey@wwd.uni-freiburg.de>
Repository: CRAN
Date/Publication: 2025-10-28 12:40:08 UTC

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New package pleioh2g with initial version 0.1.0
Package: pleioh2g
Title: Estimation of Pleiotropic Heritability from Genome-Wide Association Studies (GWAS) Summary Statistics
Version: 0.1.0
Description: Provides tools to compute unbiased pleiotropic heritability estimates of complex diseases from genome-wide association studies (GWAS) summary statistics. We estimate pleiotropic heritability from GWAS summary statistics by estimating the proportion of variance explained from an estimated genetic correlation matrix (Bulik-Sullivan et al. 2015 <doi:10.1038/ng.3406>) and employing a Monte-Carlo bias correction procedure to account for sampling noise in genetic correlation estimates.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: data.table, dplyr, stats, rlang, mvtnorm, fs, arrow, checkmate, cli, gdata, glue, purrr, tibble, vroom
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-26 14:46:50 UTC; yujiezhao
Author: Yujie Zhao [aut, cre]
Maintainer: Yujie Zhao <yujiezhao@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2025-10-28 09:50:02 UTC

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New package THETASVM with initial version 0.1.0
Package: THETASVM
Title: Time Series Forecasting using THETA-SVM Hybrid Model
Version: 0.1.0
Depends: R (>= 2.3.1), stats,forecast, tseries, TSSVM
Description: Testing, Implementation, and Forecasting of the THETA-SVM hybrid model. The THETA-SVM hybrid model combines the distinct strengths of the THETA model and the Support Vector Machine (SVM) model for time series forecasting.For method details see Bhattacharyya et al. (2022) <doi:10.1007/s11071-021-07099-3>.
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2025-10-23 06:37:43 UTC; hps
Author: Fasila K. P. [aut, ctb], Mrinmoy Ray [aut, cre], Rajeev Ranjan Kumar [aut, ctb], K. N. Singh [aut, ctb], Amrender Kumar [aut, ctb], Santosha Rathod [aut, ctb]
Maintainer: Mrinmoy Ray <mrinmoy4848@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 08:30:08 UTC

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New package rSDR with initial version 1.0.2.1
Package: rSDR
Title: Robust Sufficient Dimension Reduction
Version: 1.0.2.1
Description: A novel sufficient-dimension reduction method is robust against outliers using alpha-distance covariance and manifold-learning in dimensionality reduction problems. Please refer Hsin-Hsiung Huang, Feng Yu & Teng Zhang (2024) <doi:10.1080/10485252.2024.2313137> for the details.
License: GPL (>= 3)
Encoding: UTF-8
Imports: expm, ManifoldOptim, methods, Rcpp, rstiefel, scatterplot3d, future, future.apply, ggplot2, ggsci
Suggests: knitr, rmarkdown, Matrix, RcppNumerical, fdm2id
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-23 03:41:24 UTC; chiann
Author: Sheau-Chiann Chen [aut, cre] , Shilin Zhao [aut], Hsin-Hsiung Bill Huang [aut]
Maintainer: Sheau-Chiann Chen <sheau-chiann.chen.1@vumc.org>
Repository: CRAN
Date/Publication: 2025-10-28 08:20:08 UTC

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New package roclab with initial version 0.1.3
Package: roclab
Title: ROC-Optimizing Binary Classifiers
Version: 0.1.3
Description: Implements ROC (Receiver Operating Characteristic)–Optimizing Binary Classifiers, supporting both linear and kernel models. Both model types provide a variety of surrogate loss functions. In addition, linear models offer multiple regularization penalties, whereas kernel models support a range of kernel functions. Scalability for large datasets is achieved through approximation-based options, which accelerate training and make fitting feasible on large data. Utilities are provided for model training, prediction, and cross-validation. The implementation builds on the ROC-Optimizing Support Vector Machines. For more information, see Hernàndez-Orallo, José, et al. (2004) <doi:10.1145/1046456.1046489>, presented in the ROC Analysis in AI Workshop (ROCAI-2004).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, graphics, utils, ggplot2, fastDummies, kernlab, pracma, rsample, dplyr, caret
Suggests: mlbench, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/gimunBae/roclab
BugReports: https://github.com/gimunBae/roclab/issues
NeedsCompilation: no
Packaged: 2025-10-23 03:43:18 UTC; bgd55
Author: Gimun Bae [aut, cre], Seung Jun Shin [aut]
Maintainer: Gimun Bae <gimunbae0201@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 08:20:02 UTC

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New package iSTAY with initial version 1.0.0
Package: iSTAY
Title: Information-Based Stability and Synchrony Measures
Version: 1.0.0
Date: 2025-10-16
Author: Anne Chao [aut, cre], Yu-Ting Huang [aut], Johnny Shia [aut]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>
Description: Provides functions to to compute a continuum of information-based measures for quantifying the temporal stability of populations, communities, and ecosystems, as well as their associated synchrony, based on species (or species assemblage) biomass or other key variables. When biodiversity data are available, the package also enables the assessment of the corresponding diversity–stability relationships. All measures are applicable in both temporal and spatial contexts. The theoretical and methodological background is detailed in Chao et al. (2025) <doi:10.1101/2025.08.20.671203>.
License: GPL (>= 3)
Imports: ggplot2 (>= 3.5.0), stringr, lmerTest, lme4, dplyr, ggpubr
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-23 07:46:36 UTC; nthu
Repository: CRAN
Date/Publication: 2025-10-28 08:30:02 UTC

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New package hetcorFS with initial version 1.0
Package: hetcorFS
Title: Unsupervised Feature Selection using the Heterogeneous Correlation Matrix
Version: 1.0
Description: Unsupervised multivariate filter feature selection using the UFS-rHCM or UFS-cHCM algorithms based on the heterogeneous correlation matrix (HCM). The HCM consists of Pearson's correlations between numerical features, polyserial correlations between numerical and ordinal features, and polychoric correlations between ordinal features. Tortora C., Madhvani S., Punzo A. (2025). "Designing unsupervised mixed-type feature selection techniques using the heterogeneous correlation matrix." International Statistical Review. Forthcoming.
License: GPL-2
Imports: polycor, dplyr, cluster, graphics,psych
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-23 09:22:44 UTC; cristina
Author: Cristina Tortora [aut, cre, fnd], Antonio Punzo [aut], Shaam Madhvani [aut]
Maintainer: Cristina Tortora <grikris1@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 08:40:02 UTC

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New package GulFM with initial version 0.1.2
Package: GulFM
Title: General Unilateral Load Estimator for Two-Layer Latent Factor Models
Version: 0.1.2
Description: Implements general unilateral loading estimator for two-layer latent factor models with smooth, element-wise factor transformations. We provide data simulation, loading estimation,finite-sample error bounds, and diagnostic tools for zero-mean and sub-Gaussian assumptions. A unified interface is given for evaluating estimation accuracy and cosine similarity. The philosophy of the package is described in Guo G. (2026) <doi:10.1016/j.apm.2025.116280>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: MASS, matrixStats
Suggests: testthat (>= 3.0.0), ggplot2
NeedsCompilation: no
Language: en-US
Author: Guangbao Guo [aut, cre]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Packaged: 2025-10-22 23:54:26 UTC; Administrator
Repository: CRAN
Date/Publication: 2025-10-28 08:10:02 UTC

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New package afmpar with initial version 0.2.0
Package: afmpar
Title: Check Validity of Greek AFM and PA Numbers
Version: 0.2.0
Author: Panagiotis Cheilaris [aut, cre]
Maintainer: Panagiotis Cheilaris <philaris@gmail.com>
Description: With the functions in this package you can check the validity of the Greek Tax Identification Number (AFM) and the Greek Personal Number (PA) <https://pa.gov.gr>. The PA is a new universal ID for Greek citizens across all public services and it is to replace older numbers issued by various Greek state agencies. Its format is a 12-character ID consisting of three alphanumeric characters followed by the nine numerical digits of the AFM.
URL: https://github.com/philaris/afmpar
BugReports: https://github.com/philaris/afmpar/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-23 09:05:09 UTC; philaris
Repository: CRAN
Date/Publication: 2025-10-28 08:40:07 UTC

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Sun, 26 Oct 2025

New package contextFind with initial version 1.0.1
Package: contextFind
Title: Find Code Snippets with Context and Click to Navigate Directly to Results
Version: 1.0.1
Description: Search across R files with contextual results, highlights and clickable links. Includes an add-in for further workflow enhancement.
License: CC0
Encoding: UTF-8
Imports: rstudioapi, cli, shiny, miniUI
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-22 19:20:42 UTC; SteveJackson
Author: Steve Jackson [aut, cre]
Maintainer: Steve Jackson <s87jackson@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-26 20:30:08 UTC

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New package fairGNN with initial version 0.1.0
Package: fairGNN
Title: Fairness-Aware Gated Neural Networks
Version: 0.1.0
Description: Tools for training and analysing fairness-aware gated neural networks for subgroup-aware prediction and interpretation in clinical datasets. Methods draw on prior work in mixture-of-experts neural networks by Jordan and Jacobs (1994) <doi:10.1007/978-1-4471-2097-1_113>, fairness-aware learning by Hardt, Price, and Srebro (2016) <doi:10.48550/arXiv.1610.02413>, and personalised treatment prediction for depression by Iniesta, Stahl, and McGuffin (2016) <doi:10.1016/j.jpsychires.2016.03.016>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, ggplot2, readr, pROC, magrittr, tidyr, purrr, utils, stats, ggalluvial, tidyselect
Suggests: knitr, torch, testthat, readxl, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/rhysholland/fairGNN
BugReports: https://github.com/rhysholland/fairGNN/issues
Depends: R (>= 4.1.0)
SystemRequirements: Optional 'LibTorch' backend; install via torch::install_torch().
NeedsCompilation: no
Packaged: 2025-10-22 11:32:41 UTC; k2584926
Author: Rhys Holland [aut, cre]
Maintainer: Rhys Holland <rhys.holland@icloud.com>
Repository: CRAN
Date/Publication: 2025-10-26 19:50:10 UTC

More information about fairGNN at CRAN
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New package Rsearch with initial version 1.0.0
Package: Rsearch
Title: Processing and Analyzing Amplicon Sequence Data
Version: 1.0.0
Maintainer: Cassandra Stamsaas <cassandra.hjortdahl@nmbu.no>
Description: Processing and analysis of targeted sequencing data. The package provides a user-friendly interface for core 'VSEARCH' (Rognes et al. (2016), <doi:10.7717/peerj.2584>) functions, in addition to tools for visualization and parameter tuning.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ape (>= 5.8.1), cowplot (>= 1.1.3), dplyr, ggExtra (>= 0.10.1), ggplot2 (>= 3.5.1), microseq (>= 2.1.6), phyloseq (>= 1.50.0), RColorBrewer (>= 1.1.3), readr (>= 2.1.5), stats, stringr (>= 1.5.1), tibble (>= 3.2.1), tidyr (>= 1.3.1)
Suggests: rmarkdown, testthat (>= 3.0.0), withr (>= 3.0.2)
URL: https://cassandrahjo.github.io/Rsearch/, https://github.com/CassandraHjo/Rsearch/
BugReports: https://github.com/CassandraHjo/Rsearch/issues/
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2025-10-22 05:46:02 UTC; cassandrahjortdahl
Author: Cassandra Stamsaas [cre, aut], Lars Snipen [aut], Torbjoern Rognes [aut], Hilde Vinje [aut]
Repository: CRAN
Date/Publication: 2025-10-26 18:40:14 UTC

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New package leakr with initial version 0.1.0
Package: leakr
Title: Data Leakage Detection Tools for Machine Learning
Version: 0.1.0
Description: Provides utilities to detect common data leakage patterns including train/test contamination, temporal leakage, and data duplication, enhancing model reliability and reproducibility in machine learning workflows. Generates diagnostic reports and visual summaries to support data validation. Methods based on best practices from Hastie, Tibshirani, and Friedman (2009, ISBN:978-0387848570).
Imports: ggplot2, arrow, data.table, digest, htmltools, openxlsx, readxl, stringr, workflows, jsonlite
Suggests: testthat (>= 3.0.0), caret, mlr3, tidymodels, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-22 08:43:45 UTC; Isabella
Author: Cheryl Isabella Lim [aut, cre]
Maintainer: Cheryl Isabella Lim <cheryl.academic@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-26 18:50:02 UTC

More information about leakr at CRAN
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Sat, 25 Oct 2025

New package snirh.lab with initial version 0.1.0
Package: snirh.lab
Title: Convert Laboratory Water-Quality Data to 'SNIRH' Import Format
Version: 0.1.0
Description: Convert laboratory data to the Portuguese Information System for Water Resources 'SNIRH' file format. 'SNIRH' is Portugal's national water resources information system <https://snirh.apambiente.pt/>. The package validates station data, converts parameters and units, and generates compliant output files for data submission.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Language: en-US
Depends: R (>= 4.0.0)
Imports: data.table (>= 1.14.0), cli (>= 3.0.0), utils
Suggests: sf (>= 1.0.0), curl (>= 4.0.0), testthat (>= 3.0.0), rmarkdown, spelling
URL: https://github.com/lpereira-ue/snirh.lab
BugReports: https://github.com/lpereira-ue/snirh.lab/issues
NeedsCompilation: no
Packaged: 2025-10-22 07:37:47 UTC; luis.pereira
Author: Luis Pereira [aut, cre]
Maintainer: Luis Pereira <d57177@alunos.uevora.pt>
Repository: CRAN
Date/Publication: 2025-10-25 12:50:03 UTC

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New package SlotLim with initial version 0.0.2
Package: SlotLim
Title: Catch Advice for Fisheries Managed by Harvest Slot Limits
Version: 0.0.2
Description: Catch advice for data-limited vertebrate and invertebrate fisheries managed by harvest slot limits using the SlotLim harvest control rule. The package accompanies the manuscript "SlotLim: catch advice for data-limited vertebrate and invertebrate fisheries managed by harvest slot limits" (Pritchard et al., in prep). Minimum data requirements: at least two consecutive years of catch data, length–frequency distributions, and biomass or abundance indices (all from fishery-dependent sources); species-specific growth rate parameters (either von Bertalanffy, Gompertz, or Schnute); and either the natural mortality rate ('M') or the maximum observed age ('tmax'), from which M is estimated. The following functions have optional plotting capabilities that require 'ggplot2' installed: prop_target(), TBA(), SAM(), catch_advice(), catch_adjust(), and slotlim_once().
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, grid, stats, utils, patchwork
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-21 13:08:55 UTC; calumpritchard
Author: C.J. Pritchard [aut, cre]
Maintainer: C.J. Pritchard <cj_pritchard@outlook.com>
Repository: CRAN
Date/Publication: 2025-10-25 12:30:02 UTC

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New package scov with initial version 0.1.2
Package: scov
Title: Structured Covariances Estimators for Pairwise and Spatial Covariates
Version: 0.1.2
Description: Implements estimators for structured covariance matrices in the presence of pairwise and spatial covariates. Metodiev, Perrot-Dockès, Ouadah, Fosdick, Robin, Latouche & Raftery (2025) <doi:10.48550/arXiv.2411.04520>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Matrix, missMDA, mvtnorm, ohenery, pracma, quadprog, withr, purrr
VignetteBuilder: knitr
Suggests: knitr, markdown, corrplot
NeedsCompilation: no
Packaged: 2025-10-21 11:26:27 UTC; metodiev
Author: Martin Metodiev [aut, cre, cph] , Marie Perrot-Dockes [aut], Stephane Robin [aut]
Maintainer: Martin Metodiev <m.metodiev@tutanota.com>
Repository: CRAN
Date/Publication: 2025-10-25 12:20:02 UTC

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New package latbias with initial version 1.0.0
Package: latbias
Title: Calculate the Latitudinal Bias Index
Version: 1.0.0
Description: Studies that report shifts in species distributions may be biased by the shape of the study area. The main functionality of this package is to calculate the Latitudinal Bias Index (LBI) for any given shape. The LBI is bounded between +1 (100% probability to exclusively record latitudinal shifts, i.e., range shifts data sampled along a perfectly South-North oriented straight line) and -1 (100% probability to exclusively record longitudinal shifts, i.e., range shifts data sampled along a perfectly East-West oriented straight line).
Depends: R (>= 3.5.3)
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr, geosphere, ggplot2, psych, RColorBrewer, reshape2, sf, sp, terra, tidyr, units
Suggests: elevatr, knitr, progress, rmarkdown, rnaturalearth, rnaturalearthdata, testthat (>= 3.0.0)
URL: https://github.com/pierredenelle/latbias,
BugReports: https://github.com/pierredenelle/latbias/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-21 16:01:25 UTC; Pierre
Author: Pierre Denelle [aut, cre] , Pieter Sanczuk [aut]
Maintainer: Pierre Denelle <pierre.denelle@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-25 12:40:02 UTC

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New package inteli with initial version 0.1.0
Package: inteli
Title: Interval Estimation by Likelihoodist (LI) Compared to Frequentist (CI)
Version: 0.1.0
Description: Parameter estimation via likelihood interval (LI) compared to traditional method (CI). This is the expanded version for 'LBI'- and 'wnl'-package, formulated by Kyun-Seop Bae <k@acr.kr>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-22 05:29:10 UTC; KANEYAMA
Author: Kim Minkyu [aut, cre]
Maintainer: Kim Minkyu <mkim@acr.kr>
Repository: CRAN
Date/Publication: 2025-10-25 12:40:07 UTC

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New package imfapi with initial version 0.1.0
Package: imfapi
Title: Econdataverse 'IMF Data API' Client
Version: 0.1.0
Description: Provides user-friendly functions for programmatic access to macroeconomic data from the International Monetary Fund's 'SDMX 3.0 IMF Data API' <https://data.imf.org/en/Resource-Pages/IMF-API>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, dplyr (>= 1.1.2), purrr (>= 1.0.0), tibble (>= 3.2.1), httr2 (>= 0.6.0), jsonlite (>= 1.8.0)
Suggests: curl, knitr, stringr, testthat (>= 3.0.0)
URL: https://teal-insights.github.io/r-imfapi/, https://github.com/Teal-Insights/r-imfapi
BugReports: https://github.com/Teal-Insights/r-imfapi/issues
NeedsCompilation: no
Packaged: 2025-10-21 22:27:17 UTC; chris
Author: Teal Insights [aut, cre, cph]
Maintainer: Teal Insights <lte@tealinsights.com>
Repository: CRAN
Date/Publication: 2025-10-25 12:40:12 UTC

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New package ForCausality with initial version 0.1.0
Package: ForCausality
Title: A Curated Collection of 'Causal Inference' Datasets and Tools
Version: 0.1.0
Maintainer: Tomas Valderrama <tomasvm2004@gmail.com>
Description: Provides a comprehensive set of datasets and tools for 'causal inference' research. The package includes data from clinical trials, cancer studies, epidemiological surveys, environmental exposures, and health-related observational studies. Designed to facilitate causal analysis, risk assessment, and advanced statistical modeling, it leverages datasets from packages such as 'causalOT', 'survival', 'causalPAF', 'evident', 'melt', and 'sanon'. The package is inspired by the foundational work of Pearl (2009) <doi:10.1017/CBO9780511803161> on causal inference frameworks.
License: GPL-3
URL: https://github.com/Toby-codigos/ForCausality, https://toby-codigos.github.io/ForCausality/
BugReports: https://github.com/Toby-codigos/ForCausality/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-22 02:18:33 UTC; tomis
Author: Tomas Valderrama [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-25 12:40:22 UTC

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New package ffiec with initial version 0.1.3
Package: ffiec
Title: R Interface to 'FFIEC Central Data Repository REST API' Service
Version: 0.1.3
Description: Provides a simplified interface to the Central Data Repository 'REST API' service made available by the United States Federal Financial Institutions Examination Council ('FFIEC'). Contains functions to retrieve reports of Condition and Income (Call Reports) and Uniform Bank Performance Reports ('UBPR') in list or tidy data frame format for most 'FDIC' insured institutions. See <https://cdr.ffiec.gov/public/Files/SIS611_-_Retrieve_Public_Data_via_Web_Service.pdf> for the official 'REST API' documentation published by the 'FFIEC'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, dplyr, httr2, jsonlite, purrr, rlang, stringr, tibble, xml2
Suggests: testthat (>= 3.0.0)
URL: https://github.com/ketchbrookanalytics/ffiec, https://ketchbrookanalytics.github.io/ffiec/
BugReports: https://github.com/ketchbrookanalytics/ffiec/issues
NeedsCompilation: no
Packaged: 2025-10-21 13:28:04 UTC; root
Author: Michael Thomas [aut, cre], Ketchbrook Analytics [cph, fnd]
Maintainer: Michael Thomas <mthomas@ketchbrookanalytics.com>
Repository: CRAN
Date/Publication: 2025-10-25 12:40:17 UTC

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New package confidenceSim with initial version 0.1.0
Package: confidenceSim
Title: Highly Customizable, Parallelized Simulations of Frequentist Confidence Clinical Trials
Version: 0.1.0
Description: Simulate one or many frequentist confidence clinical trials based on a specified set of parameters. From a two-arm, single-stage trial to a perpetually run Adaptive Platform Trial, this package offers vast flexibility to customize your trial and observe operational characterisitics over thousands of instances.
License: MIT + file LICENSE
Encoding: UTF-8
Language: es
Imports: confidenceCurves (>= 0.2.0), genodds (>= 1.1.2), rpact (>= 4.0.0)
Depends: R (>= 4.3)
LazyData: true
Suggests: dplyr (>= 1.1.4), knitr, parallel (>= 4.3.2), pbapply (>= 1.7.2), plyr (>= 1.8.9), rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-21 11:34:52 UTC; fwerdiger
Author: Freda Werdiger [aut, cre]
Maintainer: Freda Werdiger <freda.werdiger@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2025-10-25 12:20:07 UTC

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New package PanelSelect with initial version 1.0.0
Package: PanelSelect
Title: Panel Sample Selection Models
Version: 1.0.0
Maintainer: Jing Peng <jing.peng@uconn.edu>
Description: Extends the Heckman selection framework to panel data with individual random effects. The first stage models participation via a panel Probit specification, while the second stage can take a panel linear, Probit, Poisson, or Poisson log-normal form. Model details are provided in Bailey and Peng (2025) <doi:10.2139/ssrn.5475626> and Peng and Van den Bulte (2024) <doi:10.1287/mnsc.2019.01897>.
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
Imports: Rcpp, PanelCount, pbivnorm, maxLik, statmod, MASS, data.table, pbv
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2025-10-21 06:19:09 UTC; pengj
Author: Jing Peng [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-25 12:00:02 UTC

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New package LRQVB with initial version 1.0.0
Package: LRQVB
Title: Low Rank Correction Quantile Variational Bayesian Algorithm for Multi-Source Heterogeneous Models
Version: 1.0.0
Description: A Low Rank Correction Variational Bayesian algorithm for high-dimensional multi-source heterogeneous quantile linear models. More details have been written up in a paper submitted to the journal Statistics in Medicine, and the details of variational Bayesian methods can be found in Ray and Szabo (2021) <doi:10.1080/01621459.2020.1847121>. It simultaneously performs parameter estimation and variable selection. The algorithm supports two model settings: (1) local models, where variable selection is only applied to homogeneous coefficients, and (2) global models, where variable selection is also performed on heterogeneous coefficients. Two forms of parameter estimation are output: one is the standard variational Bayesian estimation, and the other is the variational Bayesian estimation corrected with low-rank adjustment.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), glmnet, lava, stats, MASS
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2025-10-21 01:52:59 UTC; 11877
Author: Lu Luo [aut, cre], Huiqiong Li [aut]
Maintainer: Lu Luo <luolu@stu.ynu.edu.cn>
Repository: CRAN
Date/Publication: 2025-10-25 12:00:07 UTC

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Thu, 23 Oct 2025

New package rdav with initial version 0.1.3
Package: rdav
Title: Simple 'WebDAV' Client
Version: 0.1.3
Date: 2025-10-20
Maintainer: Gunther Krauss <guntherkrauss@uni-bonn.de>
Description: A simple 'WebDAV' client that provides functions to fetch and send files or folders to servers using the 'WebDAV' protocol (see 'RFC' 4918 <https://www.rfc-editor.org/rfc/rfc4918>). Only a subset of the protocol is implemented (e.g. file locks are not yet supported).
License: GPL-2
URL: https://github.com/gk-crop/rdav
BugReports: https://github.com/gk-crop/rdav/issues
Depends: R (>= 4.1.0)
Imports: utils, httr2, xml2
Suggests: keyring, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-20 20:28:39 UTC; k
Author: Gunther Krauss [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-23 14:50:02 UTC

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New package sumup with initial version 1.0.0
Package: sumup
Title: Utilizing Automated Text Analysis to Support Interpretation of Narrative Feedback
Version: 1.0.0
Description: Combine topic modeling and sentiment analysis to identify individual students' gaps, and highlight their strengths and weaknesses across predefined competency domains and professional activities.
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table, dplyr, jsonlite, magrittr, rlang, udpipe, reticulate, stats, stringr, textclean, tibble, tidyr, tidytext, topicmodels, utils
Suggests: matrixStats, reshape2, sentimentr, slam, stopwords, stringi, textstem, tokenizers
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-10-20 09:03:19 UTC; J.Moonen
Author: Joyce Moonen - van Loon [aut, cre]
Maintainer: Joyce Moonen - van Loon <j.moonen@maastrichtuniversity.nl>
Repository: CRAN
Date/Publication: 2025-10-23 13:50:02 UTC

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New package poseticDataAnalysis with initial version 0.1.0
Package: poseticDataAnalysis
Title: Posetic Data Analysis
Version: 0.1.0
Maintainer: Alessandro Avellone <alessandro.avellone@unimib.it>
Description: Build and manipulate partially ordered sets (posets), to perform some data analysis on them and to implement multi-criteria decision making procedures. Several efficient ways for generating linear extensions are implemented, together with functions for building mutual ranking probabilities, incomparability, dominance and separation scores (Fattore, M., De Capitani, L., Avellone, A., Suardi, A. (2024). A fuzzy posetic toolbox for multi-criteria evaluation on ordinal data systems. ANNALS OF OPERATIONS RESEARCH <doi:10.1007/s10479-024-06352-3>).
License: GPL (>= 2)
Imports: methods
SystemRequirements: C++20
NeedsCompilation: yes
Encoding: UTF-8
Repository: CRAN
Packaged: 2025-10-20 05:53:55 UTC; ale
Author: Alessandro Avellone [aut, cre], Lucio De Capitani [aut], Marco Fattore [aut]
Date/Publication: 2025-10-23 13:10:03 UTC

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New package CompositionalSR with initial version 1.0
Package: CompositionalSR
Title: Spatial Regression Models with Compositional Data
Version: 1.0
Date: 2025-10-17
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: blockCV, Compositional, doParallel, foreach, minpack.lm, parallel, Rfast, sf, stats
Suggests: Rfast2
Description: Spatial regression models with compositional responses using the alpha--transformation. Relevant papers include: Tsagris M. (2025), <doi:10.48550/arXiv.2510.12663>, Tsagris M. (2015), <https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>, Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>.
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-20 15:58:50 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-10-23 13:50:08 UTC

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Wed, 22 Oct 2025

New package tind with initial version 0.2
Package: tind
Title: A Common Representation of Time Indices of Different Types
Version: 0.2
Date: 2025-10-18
Description: Provides an easy-to-use tind class representing time indices of different types (years, quarters, months, ISO 8601 weeks, dates, time of day, date-time, and arbitrary integer/numeric indices). Includes an extensive collection of functions for calendrical computations (including business applications), index conversions, index parsing, and other operations. Auxiliary classes representing time differences and time intervals (with set operations and index matching functionality) are also provided. All routines have been optimised for speed in order to facilitate computations on large datasets. More details regarding calendars in general and calendrical algorithms can be found in "Calendar FAQ" by Claus Tøndering <https://www.tondering.dk/claus/calendar.html>.
Depends: R (>= 3.6.0)
Suggests: crayon, methods, stats, testthat, knitr, rmarkdown, fansi, htmltools
Enhances: utils, graphics, ggplot2, zoo, timeDate, chron, data.table
License: GPL-3
URL: https://github.com/dever-pl/tind
BugReports: https://github.com/dever-pl/tind/issues
Encoding: UTF-8
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2025-10-18 19:06:55 UTC; dever
Author: Grzegorz Klima [aut, cre, cph]
Maintainer: Grzegorz Klima <dever@post.pl>
Repository: CRAN
Date/Publication: 2025-10-22 19:10:02 UTC

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New package OmopOnSpark with initial version 0.1.0
Package: OmopOnSpark
Title: Using a Common Data Model on 'Spark'
Version: 0.1.0
Description: Use health data in the Observational Medical Outcomes Partnership Common Data Model format in 'Spark'. Functionality includes creating all required tables and fields and creation of a single reference to the data. Native 'Spark' functionality is supported.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, datasets, DBI, dbplyr, dplyr, glue, omopgenerics (>= 1.3.1), purrr, rlang, stringr
Suggests: testthat (>= 3.0.0), omock, knitr, rmarkdown, CDMConnector, OmopSketch, odbc, R6, crayon, sparklyr, DatabaseConnector
VignetteBuilder: knitr
URL: https://OHDSI.github.io/OmopOnSpark/
NeedsCompilation: no
Packaged: 2025-10-19 18:42:36 UTC; orms0426
Author: Edward Burn [aut, cre] , Marti Catala [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>
Repository: CRAN
Date/Publication: 2025-10-22 19:20:02 UTC

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New package ci with initial version 0.0.1
Package: ci
Title: Confidence Intervals for Education
Version: 0.0.1
Description: An educational package providing intuitive functions for calculating confidence intervals (CI) for various statistical parameters. Designed primarily for teaching and learning about statistical inference (particularly confidence intervals). Offers user-friendly wrappers around established methods for proportions, means, and bootstrap-based intervals. Integrates seamlessly with Tidyverse workflows, making it ideal for classroom demonstrations and student exercises.
License: GPL (>= 3)
URL: https://github.com/GegznaV/ci
BugReports: https://github.com/GegznaV/ci/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: DescTools, dplyr, tidyr, purrr, forcats, tibble, checkmate
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-19 20:21:15 UTC; ViG
Author: Vilmantas Gegzna [aut, cre]
Maintainer: Vilmantas Gegzna <GegznaV@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-22 19:30:02 UTC

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New package bayesQRsurvey with initial version 0.1.4
Package: bayesQRsurvey
Title: Bayesian Quantile Regression Models for Complex Survey Data Analysis
Version: 0.1.4
Description: Provides Bayesian quantile regression models for complex survey data under informative sampling using survey-weighted estimators. Both single- and multiple-output models are supported. To accelerate computation, all algorithms are implemented in 'C++' using 'Rcpp', 'RcppArmadillo', and 'RcppEigen', and are called from 'R'. See Nascimento and Gonçalves (2024) <doi:10.1093/jssam/smae015> and Nascimento and Gonçalves (2025, in press) <https://academic.oup.com/jssam>.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Imports: Rcpp, stats, graphics, methods, pracma, ggplot2, rlang, posterior
Suggests: MASS, knitr, rmarkdown, grDevices, testthat (>= 3.0.0)
SystemRequirements: BLAS, LAPACK
URL: https://github.com/torodriguezt/bayesQRsurvey
BugReports: https://github.com/torodriguezt/bayesQRsurvey/issues
NeedsCompilation: yes
Packaged: 2025-10-18 21:02:55 UTC; Tomas
Author: Tomas Rodriguez Taborda [aut, cre], Johnatan Cardona Jimenez [aut], Marcus L. Nascimento [aut], Kelly Cristina Mota Goncalves [aut]
Maintainer: Tomas Rodriguez Taborda <torodriguezt@unal.edu.co>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-22 19:10:10 UTC

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New package scf with initial version 1.0.4
Package: scf
Title: Analyzing the Survey of Consumer Finances
Version: 1.0.4
Description: Analyze public-use micro data from the Survey of Consumer Finances. Provides tools to download prepared data files, construct replicate-weighted multiply imputed survey designs, compute descriptive statistics and model estimates, and produce plots and tables. Methods follow design-based inference for complex surveys and pooling across multiple imputations. See the package website and the code book for background.
License: MIT + file LICENSE
URL: https://github.com/jncohen/scf
BugReports: https://github.com/jncohen/scf/issues
Depends: R (>= 3.6)
Imports: ggplot2, haven, httr, rlang, stats, survey, utils
Suggests: dplyr, hexbin, kableExtra, knitr, mitools, rmarkdown, markdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, markdown, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-18 11:04:17 UTC; jcohen
Author: Joseph Cohen [aut, cre]
Maintainer: Joseph Cohen <joseph.cohen@qc.cuny.edu>
Repository: CRAN
Date/Publication: 2025-10-22 19:00:02 UTC

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New package NeEDS4BigData with initial version 1.0.1
Package: NeEDS4BigData
Title: New Experimental Design Based Subsampling Methods for Big Data
Version: 1.0.1
Maintainer: Amalan Mahendran <amalan0595@gmail.com>
Description: Subsampling methods for big data under different models and assumptions. Starting with linear regression and leading to Generalised Linear Models, softmax regression, and quantile regression. Specifically, the model-robust subsampling method proposed in Mahendran, A., Thompson, H., and McGree, J. M. (2023) <doi:10.1007/s00362-023-01446-9>, where multiple models can describe the big data, and the subsampling framework for potentially misspecified Generalised Linear Models in Mahendran, A., Thompson, H., and McGree, J. M. (2025) <doi:10.48550/arXiv.2510.05902>.
License: MIT + file LICENSE
URL: https://github.com/Amalan-ConStat/NeEDS4BigData,https://amalan-constat.github.io/NeEDS4BigData/index.html
BugReports: https://github.com/Amalan-ConStat/NeEDS4BigData/issues
Depends: R (>= 4.1.0)
Imports: dplyr, foreach, gam, ggh4x, ggplot2, ggridges, matrixStats, mvnfast, psych, Rdpack, Rfast, rlang, stats, tidyr
Suggests: doParallel, ggpubr, kableExtra, knitr, parallel, rmarkdown, spelling, testthat, vctrs, pillar
Encoding: UTF-8
Language: en-GB
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-10-18 14:12:20 UTC; amala
Author: Amalan Mahendran [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-22 19:00:08 UTC

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New package mcmodule with initial version 1.1.0
Package: mcmodule
Title: Modular Monte Carlo Risk Analysis
Version: 1.1.0
Description: Framework for building modular Monte Carlo risk analysis models. It extends the capabilities of 'mc2d' to facilitate working with multiple risk pathways, variates and scenarios. It provides tools to organize risk analysis in independent flexible modules, perform multivariate Monte Carlo node operations, automate the creation of Monte Carlo nodes and visualize risk analysis models. For more details see Ciria (2025) <https://nataliaciria.github.io/mcmodule/articles/mcmodule>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://nataliaciria.github.io/mcmodule/, https://github.com/NataliaCiria/mcmodule
BugReports: https://github.com/NataliaCiria/mcmodule/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), visNetwork, igraph, bookdown
Imports: dplyr
Depends: mc2d, R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-18 05:57:44 UTC; Natalia
Author: Natalia Ciria [aut, cre, cph] , Alberto Allepuz [ths] , Giovanna Ciaravino [ths]
Maintainer: Natalia Ciria <nataliaciria@hotmail.com>
Repository: CRAN
Date/Publication: 2025-10-22 18:50:02 UTC

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New package CFM with initial version 0.6.0
Package: CFM
Title: Analyzing Censored Factor Models
Version: 0.6.0
Description: Provides generation and estimation of censored factor models for high-dimensional data with censored errors (normal, t, logistic). Includes Sparse Orthogonal Principal Components (SOPC), and evaluation metrics. Based on Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: stats, MASS, psych, matrixcalc, crch
Suggests: testthat (>= 3.0.0), ggplot2
NeedsCompilation: no
Packaged: 2025-10-18 01:51:44 UTC; 86188
Author: Guangbao Guo [aut, cre], Tong Meng [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Date/Publication: 2025-10-22 18:50:10 UTC

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New package BRPL with initial version 1.0.2
Package: BRPL
Title: Methods for Bivariate Poverty Line Calculations
Version: 1.0.2
Description: Provides tools for identifying subgroups within populations based on individual response patterns to specific interventions or treatments. Designed to support researchers and clinicians in exploring heterogeneous treatment effects and developing personalized therapeutic strategies. Offers functionality for analyzing and visualizing the interplay between two variables, thereby enhancing the interpretation of social sustainability metrics. The package focuses on bivariate discriminant analysis and aims to clarify relationships between indicator variables.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, methods
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-03 20:53:34 UTC; rmk
Author: Franziska Dorn [aut, cre], Rene-Marcel Kruse [aut], Thomas Kneib [aut]
Maintainer: Franziska Dorn <franziska.dorn@uni-due.de>
Repository: CRAN
Date/Publication: 2025-10-22 18:40:08 UTC

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New package alpmixBayes with initial version 0.1.0
Package: alpmixBayes
Title: Bayesian Estimation for Alpha-Mixture Survival Models
Version: 0.1.0
Description: Implements Bayesian estimation and inference for alpha-mixture survival models, including Weibull and Exponential based components, with tools for simulation and posterior summaries. The methods target applications in reliability and biomedical survival analysis. The package implements Bayesian estimation for the alpha-mixture methodology introduced in Asadi et al. (2019) <doi:10.1017/jpr.2019.72>.
Maintainer: Feng Luan <fluan1@niu.edu>
Imports: MCMCpack, stats, utils, gtools
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-17 19:22:24 UTC; feng
Author: Feng Luan [aut, cre], Zhexuan Yang [aut], Duchwan Ryu [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-22 18:40:02 UTC

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Tue, 21 Oct 2025

New package GHRmodel with initial version 0.1.0
Package: GHRmodel
Title: Bayesian Hierarchical Modelling of Spatio-Temporal Health Data
Version: 0.1.0
Description: Supports modeling health outcomes using Bayesian hierarchical spatio-temporal models with complex covariate effects (e.g., linear, non-linear, interactions, distributed lag linear and non-linear models) in the 'INLA' framework. It is designed to help users identify key drivers and predictors of disease risk by enabling streamlined model exploration, comparison, and visualization of complex covariate effects. See an application of the modelling framework in Lowe, Lee, O'Reilly et al. (2021) <doi:10.1016/S2542-5196(20)30292-8>.
License: GPL (>= 2)
URL: https://gitlab.earth.bsc.es/ghr/ghrmodel, https://bsc-es.github.io/GHRtools/docs/GHRmodel/GHRmodel
BugReports: https://gitlab.earth.bsc.es/ghr/ghrmodel/-/issues
Depends: R (>= 4.1.0)
Imports: cowplot, dlnm, dplyr, ggplot2 (>= 3.5.0), GHRexplore, rlang, scales, tidyr, tidyselect
Suggests: INLA, sf, sn, RColorBrewer, colorspace, testthat (>= 3.0.0), spdep, knitr, rmarkdown
Additional_repositories: https://inla.r-inla-download.org/R/stable
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-17 13:18:53 UTC; cmilagar
Author: Carles Mila [aut, cre] , Giovenale Moirano [aut] , Anna B. Kawiecki [aut] , Rachel Lowe [aut]
Maintainer: Carles Mila <carles.milagarcia@bsc.es>
Repository: CRAN
Date/Publication: 2025-10-21 18:10:02 UTC

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New package testthatdocs with initial version 1.0.23
Package: testthatdocs
Title: Automated and Idempotent Unit Tests Documentation for Reproducible Quality Assurance
Version: 1.0.23
Description: Automates documentation of test_that() calls within R test files. The package scans test sources, extracts human-readable test titles (even when composed with functions like paste() or glue::glue(), ... etc.), and generates reproducible roxygen2-style listings that can be inserted both globally and per-section. It ensures idempotent updates and supports customizable numbering templates with hierarchical indices. Designed for developers, QA teams, and package maintainers seeking consistent, self-documenting test inventories.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports:
Suggests: testthat (>= 3.0.0), glue, knitr, rmarkdown, withr
VignetteBuilder: knitr
URL: https://github.com/urniaz/testthatdocs
BugReports: https://github.com/urniaz/testthatdocs/issues
NeedsCompilation: no
Packaged: 2025-10-16 21:53:04 UTC; urniaz
Author: Rafal Urniaz [aut, cre]
Maintainer: Rafal Urniaz <rafal.urniaz@cantab.net>
Repository: CRAN
Date/Publication: 2025-10-21 17:50:02 UTC

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New package LLMing with initial version 1.0.0
Package: LLMing
Title: Large Language Model (LLM) Tools for Psychological Text Analysis
Version: 1.0.0
Maintainer: Lindley Slipetz <ddj6tu@virginia.edu>
Description: A collection of large language model (LLM) text analysis methods designed with psychological data in mind. Currently, LLMing (aka "lemming") includes a text anomaly detection method based on the angle-based subspace approach described by Zhang, Lin, and Karim (2015) <doi:10.1016/j.ress.2015.05.025>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rdpack, quanteda, stopwords, stringi, reticulate, text, dbscan, pracma, stats
URL: https://github.com/sliplr19/LLMing
BugReports: https://github.com/sliplr19/LLMing/issues
NeedsCompilation: no
Packaged: 2025-10-16 16:16:03 UTC; ddj6tu
Author: Lindley Slipetz [aut, cre], Teague Henry [aut], Siqi Sun [ctb]
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-10-21 17:50:06 UTC

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New package FracFixR with initial version 1.0.0
Package: FracFixR
Title: Compositional Statistical Framework for RNA Fractionation Analysis
Version: 1.0.0
Date: 2025-10-16
Description: A compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data. 'FracFixR' addresses the fundamental challenge in fractionated RNA-seq experiments where library preparation and sequencing depth obscure the original proportions of RNA fractions. It reconstructs original fraction proportions using non-negative linear regression, estimates the "lost" unrecoverable fraction, corrects individual transcript frequencies, and performs differential proportion testing between conditions. Supports any RNA fractionation protocol including polysome profiling, sub-cellular localization, and RNA-protein complex isolation.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: future.apply (>= 1.8.1), nnls (>= 1.4), ggplot2 (>= 3.3.5), dplyr (>= 1.0.7), RColorBrewer (>= 1.1-2), tidyr (>= 1.1.3), matrixStats (>= 0.60.0), aod (>= 1.3.1), stats, utils, future, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-16 02:59:56 UTC; acleynen
Author: Alice Cleynen [aut, cre] , Agin Ravindran [aut], Nikolay Shirokikh [aut]
Maintainer: Alice Cleynen <alice.cleynen@cnrs.fr>
Repository: CRAN
Date/Publication: 2025-10-21 17:40:02 UTC

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New package EFM with initial version 0.5.0
Package: EFM
Version: 0.5.0
Title: Elliptical Factor Models
Description: The elliptical factor model, as an extension of the traditional factor model, effectively overcomes the limitations of the traditional model when dealing with heavy-tailed characteristic data. This package implements sparse principal component methods (SPC) and bi-sparse online principal component estimation (SPOC) for parameter estimation. Includes functionality for calculating mean squared error, relative error, and loading matrix sparsity.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MASS, stats, SOPC, matrixcalc
Suggests: testthat (>= 3.0.0), ggplot2, pracma, psych, sn
Depends: R (>= 3.5.0)
NeedsCompilation: no
Language: en-US
Maintainer: Guangbao Guo <ggb11111111@163.com>
Packaged: 2025-10-17 03:33:53 UTC; 86187
Author: Guangbao Guo [aut, cre], Yuanyuan Zhou [aut]
Repository: CRAN
Date/Publication: 2025-10-21 18:00:02 UTC

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New package AgeTopicModels with initial version 0.1.0
Package: AgeTopicModels
Title: Inferring Age-Dependent Disease Topic from Diagnosis Data
Version: 0.1.0
Description: We propose an age-dependent topic modelling (ATM) model, providing a low-rank representation of longitudinal records of hundreds of distinct diseases in large electronic health record data sets. The model assigns to each individual topic weights for several disease topics; each disease topic reflects a set of diseases that tend to co-occur as a function of age, quantified by age-dependent topic loadings for each disease. The model assumes that for each disease diagnosis, a topic is sampled based on the individual’s topic weights (which sum to 1 across topics, for a given individual), and a disease is sampled based on the individual’s age and the age-dependent topic loadings (which sum to 1 across diseases, for a given topic at a given age). The model generalises the Latent Dirichlet Allocation (LDA) model by allowing topic loadings for each topic to vary with age. References: Jiang (2023) <doi:10.1038/s41588-023-01522-8>.
License: MIT + file LICENSE
Depends: R (>= 3.5)
Imports: dplyr, ggplot2, ggrepel, grDevices, gtools, magrittr, pROC, reshape2, rlang, stats, stringr, tibble, tidyr, utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-10-16 18:35:44 UTC; xj262
Author: Xilin Jiang [aut, cre]
Maintainer: Xilin Jiang <jiangxilin1@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-21 17:50:11 UTC

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New package Rfuzzycoco with initial version 0.1.0
Package: Rfuzzycoco
Title: Provides an R Interface to the 'FuzzyCoCo' C++ Library and Extends It
Version: 0.1.0
Description: Provides and extends the 'Fuzzy Coco' algorithm by wrapping the 'FuzzyCoCo' 'C++' Library, cf <https://github.com/Lonza-RND-Data-Science/fuzzycoco>. 'Fuzzy Coco' constructs systems that predict the outcome of a human decision-making process while providing an understandable explanation of a possible reasoning leading to it. The constructed fuzzy systems are composed of rules and linguistic variables. This package provides a 'S3' classic interface (fit_xy()/fit()/predict()/evaluate()) and a 'tidymodels'/'parsnip' interface, a custom engine with custom iteration stop criterion and progress bar support as well as a systematic implementation that do not rely on genetic programming but rather explore all possible combinations.
License: GPL (>= 3)
URL: https://github.com/Lonza-RND-Data-Science/Rfuzzycoco
BugReports: https://github.com/Lonza-RND-Data-Science/Rfuzzycoco/issues
Depends: R (>= 4.1.0)
Imports: generics, methods, Rcpp, stats, utils
Suggests: knitr, parsnip, progressr, rlang, rmarkdown, testthat
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-10-16 13:11:13 UTC; ubuntu
Author: Karl Forner [aut, cre]
Maintainer: Karl Forner <karl.forner@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-21 09:10:51 UTC

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New package paisaje with initial version 0.1.1
Package: paisaje
Title: Spatial and Environmental Data Tools for Landscape Ecology
Version: 0.1.1
Maintainer: Manuel Spinola <mspinola10@gmail.com>
Description: Provides functions for landscape analysis and data retrieval. The package allows users to download environmental variables from global datasets (e.g., WorldClim, ESA WorldCover, Nighttime Lights), and to compute spatial and landscape metrics using a hexagonal grid system based on the H3 spatial index. It is useful for ecological modeling, biodiversity studies, and spatial data processing in landscape ecology. Fick and Hijmans (2017) <doi:10.1002/joc.5086>. Zanaga et al. (2022) <doi:10.5281/zenodo.7254221>. Uber Technologies Inc. (2022) "H3: Hexagonal hierarchical spatial index".
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://manuelspinola.github.io/paisaje/, https://github.com/ManuelSpinola/paisaje
BugReports: https://github.com/ManuelSpinola/paisaje/issues
Imports: rlang, dplyr, tidyr, sf, terra, h3jsr, rvest, httr, landscapemetrics, spocc, exactextractr, progress, magrittr
Suggests: ggplot2, rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-15 22:48:31 UTC; manuelspinola
Author: Manuel Spinola [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-21 08:20:02 UTC

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New package evanverse with initial version 0.3.7
Package: evanverse
Title: Utility Functions for Data Analysis and Visualization
Version: 0.3.7
Date: 2025-10-16
Author: Evan Zhou [aut, cre]
Maintainer: Evan Zhou <evanzhou.bio@gmail.com>
Description: A comprehensive collection of utility functions for data analysis and visualization in R. The package provides 55+ functions for data manipulation, file handling, color palette management, bioinformatics workflows, plotting, and package management. Features include void value handling, custom infix operators, flexible file I/O, and publication-ready visualizations with sensible defaults. Implementation follows tidyverse principles (Wickham et al. (2019) <doi:10.21105/joss.01686>) and incorporates best practices from the R community.
License: MIT + file LICENSE
License_is_FOSS: yes
License_restricts_use: no
Encoding: UTF-8
URL: https://github.com/evanbio/evanverse, https://evanbio.github.io/evanverse/
BugReports: https://github.com/evanbio/evanverse/issues
VignetteBuilder: knitr
Depends: R (>= 4.1)
Imports: cli, tibble, tidyr, data.table, dplyr, ggplot2, jsonlite, curl, openxlsx, readxl, tictoc, fs, rlang, withr, ggpubr, utils, tools, stats, grDevices
Suggests: BiocManager, GSEABase, Biobase, GEOquery, biomaRt, knitr, rmarkdown, testthat (>= 3.0.0), ggvenn, ggVennDiagram, writexl, R.utils, janitor, RColorBrewer, devtools, digest, forestploter, purrr, reactable
NeedsCompilation: no
Packaged: 2025-10-16 11:46:30 UTC; 84241
Repository: CRAN
Date/Publication: 2025-10-21 09:00:02 UTC

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Mon, 20 Oct 2025

New package tteICE with initial version 1.0.1
Package: tteICE
Title: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events
Version: 1.0.1
Author: Yuhao Deng [aut], Yi Zhou [cre]
Maintainer: Yi Zhou <yzhou@pku.edu.cn>
Description: Analyzing treatment effects in clinical trials with time-to-event outcomes is complicated by intercurrent events. This package implements methods for estimating and inferring the cumulative incidence functions for time-to-event (TTE) outcomes with intercurrent events (ICEs) under the five strategies outlined in the ICH E9 (R1) addendum, see Deng (2025)<doi:10.1002/sim.70091>. This package can be used for analyzing data from both randomized controlled trials and observational studies. In general, we have a primary outcome event and possibly an intercurrent event. Two data structures are allowed: competing risks, where only the time to the first event is recorded, and semicompeting risks, where the times to both the primary outcome event and intercurrent event (or censoring) are recorded. For estimation methods, users can choose nonparametric estimation (which does not use covariates) and semiparametrically efficient estimation.
URL: https://github.com/mephas/tteICE
BugReports: https://github.com/mephas/tteICE/issues
License: GPL-3
Encoding: UTF-8
Language: en-US
LazyData: True
Imports: cmprsk, MASS, survival, shiny, shinythemes, shinyWidgets, DT, psych
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-10-15 06:05:06 UTC; zhouy
Repository: CRAN
Date/Publication: 2025-10-20 19:40:02 UTC

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New package SimplicialComplex with initial version 0.1.0
Package: SimplicialComplex
Title: Topological Data Analysis: Simplicial Complex
Version: 0.1.0
Maintainer: ChiChien Wang <kennywang2003@gmail.com>
Description: Provides an implementation of simplicial complexes for Topological Data Analysis (TDA). The package includes functions to compute faces, boundary operators, Betti numbers, Euler characteristic, and to construct simplicial complexes. It also implements persistent homology, from building filtrations to computing persistence diagrams, with the aim of helping readers understand the core concepts of computational topology. Methods are based on standard references in persistent homology such as Zomorodian and Carlsson (2005) <doi:10.1007/s00454-004-1146-y> and Chazal and Michel (2021) <doi:10.3389/frai.2021.667963>.
Imports: Matrix, gtools, igraph, ggplot2
License: MIT + file LICENSE
URL: https://github.com/TDA-R/SimplicialComplex
BugReports: https://github.com/TDA-R/SimplicialComplex/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-15 08:39:54 UTC; wangqiqian
Author: ChiChien Wang [aut, cre, trl]
Repository: CRAN
Date/Publication: 2025-10-20 19:30:15 UTC

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New package rosario with initial version 0.1.0
Package: rosario
Title: A Null Model Algorithm to Analyze Cyclical Data in Ecology
Version: 0.1.0
Description: Implements a null model analysis to quantify concurrent temporal niche overlap (i.e., activity or phenology) among biological identities (e.g., individuals, populations, species) using the Rosario randomization algorithm Castro-Arellano et al. (2010) <doi:10.1111/j.2041-210X.2010.00031.x>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: broom, magrittr, purrr, furrr, future, rlang
URL: https://alrobles.github.io/rosario/
Suggests: rmarkdown, ggplot2, spelling
Depends: R (>= 4.1.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-14 16:57:45 UTC; maria.h.m_1995
Author: Angel L. Robles-Fernandez [aut], Maria A. Hurtado-Materon [aut], Tatiana Velasquez-Roa [aut, ths], Ivan Castro-Arellano [cre]
Maintainer: Ivan Castro-Arellano <ic13@txstate.edu>
Repository: CRAN
Date/Publication: 2025-10-20 19:10:02 UTC

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New package faunabr with initial version 1.0.0
Package: faunabr
Title: Explore Catálogo Taxônomico da Fauna do Brasil Database
Version: 1.0.0
Description: A collection of functions designed to retrieve, filter and spatialize data from the Catálogo Taxônomico da Fauna do Brasil. For more information about the dataset, please visit <http://fauna.jbrj.gov.br/fauna/listaBrasil/>.
Imports: XML (>= 3.99.0.14), data.table (>= 1.14.8), httr (>= 1.4.6), terra (>= 1.7.39), stats (>= 4.2.3), utils(>= 4.2.3),
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
BugReports: https://github.com/wevertonbio/faunabr/issues
URL: https://wevertonbio.github.io/faunabr/
NeedsCompilation: no
Packaged: 2025-10-15 02:25:42 UTC; wever
Author: Weverton Trindade [aut, cre]
Maintainer: Weverton Trindade <wevertonf1993@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-20 19:30:09 UTC

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New package epmfd with initial version 1.1.1
Package: epmfd
Title: Exploratory and Person/Item Misfit Diagnostics for Polytomous Data
Version: 1.1.1
Description: Analysis of items and persons in data. To identify and remove person misfit in polytomous item-response data using either 'mokken' or a graded response model (GRM, via 'mirt'). Provides automatic thresholds, visual diagnostics (2D/3D), and export utilities. Methods build on Mokken scaling as in Mokken (1971, ISBN:9789027968821) and on the graded response model of Samejima (1969) <doi:10.1007/BF03372160>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/hsnbulut/epmfd
BugReports: https://github.com/hsnbulut/epmfd/issues
Imports: dplyr, fs, ggplot2, mirt, mokken, PerFit, readr, rlang, tibble
Suggests: plotly, ggrepel, openxlsx, haven, patchwork, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-15 21:10:27 UTC; hsn
Author: Hasan Bulut [aut, cre] , Asiye Şenguel Avsar [aut]
Maintainer: Hasan Bulut <hasan.bulut@omu.edu.tr>
Repository: CRAN
Date/Publication: 2025-10-20 19:40:08 UTC

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New package CortSineScore with initial version 0.1.0
Package: CortSineScore
Title: Compute Cortisol Sine Score (CSS) for Diurnal Cortisol Analysis
Version: 0.1.0
Description: Computes a single scalar metric for diurnal cortisol cycle analysis, the Cortisol Sine Score (CSS). The score is calculated as the sum over time points of concentration multiplied by sin(2 * pi * time / 24), giving positive weights to morning time points and negative weights to evening ones. The method is model-free, robust, and suitable for regression, classification, clustering, and biomarker research.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: purrr, magrittr, dplyr
Suggests: tibble
URL: https://github.com/simone-anza/CortSineScore
BugReports: https://github.com/simone-anza/CortSineScore/issues
NeedsCompilation: no
Packaged: 2025-10-15 20:33:06 UTC; simon
Author: Simone Anza [aut, cre]
Maintainer: Simone Anza <simoneanza@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-20 19:40:14 UTC

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New package compIndexBuilder with initial version 1.0.0
Package: compIndexBuilder
Version: 1.0.0
Title: Composite Index Builder & Analytics 'shiny' App
Description: Provides an interactive 'shiny' web application for constructing, analyzing, and visualizing composite indices from multidimensional datasets. Users can upload or select indicator data, group variables into logical categories, apply normalization and weighting methods (such as 'equal' or 'custom' schemes), and compute aggregate composite indices. The 'shiny' interface includes tools for exploring results through tables, plots, and data exports, making it useful for researchers, policymakers, and analysts interested in index-based evaluations.
License: GPL-3
Depends: R (>= 4.1.0)
Imports: shiny, plotly, shinydashboard, dplyr, readxl, forecast, tidyr, corrplot, missForest, zoo, tibble, DT, ggplot2, networkD3, psych
Suggests: testthat (>= 3.0.0)
Maintainer: Leila Marvian Mashhad <Leila.marveian@gmail.com>
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2025-10-14 19:22:03 UTC; HAMIAN
Author: Hossein Hassani [aut], Leila Marvian Mashhad [aut, cre], Steve Macfeely [aut], Petra Kynclova [aut], Nour Barnat [aut], Fernando CANTU BAZALDUA [aut]
Repository: CRAN
Date/Publication: 2025-10-20 19:20:02 UTC

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New package bigPCAcpp with initial version 0.9.0
Package: bigPCAcpp
Title: Principal Component Analysis for 'bigmemory' Matrices
Version: 0.9.0
Date: 2025-10-02
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: High performance principal component analysis routines that operate directly on 'bigmemory::big.matrix' objects. The package avoids materialising large matrices in memory by streaming data through 'BLAS' and 'LAPACK' kernels and provides helpers to derive scores, loadings, correlations, and contribution diagnostics, including utilities that stream results into 'bigmemory'-backed matrices for file-based workflows. Additional interfaces expose 'scalable' singular value decomposition, robust PCA, and robust SVD algorithms so that users can explore large matrices while tempering the influence of outliers. 'Scalable' principal component analysis is also implemented, Elgamal, Yabandeh, Aboulnaga, Mustafa, and Hefeeda (2015) <doi:10.1145/2723372.2751520>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.12), methods, withr
Suggests: knitr, rmarkdown, bigmemory, ggplot2, testthat (>= 3.0.0)
LinkingTo: Rcpp, bigmemory, BH
Encoding: UTF-8
VignetteBuilder: knitr
LazyLoad: yes
NeedsCompilation: yes
URL: https://fbertran.github.io/bigPCAcpp/, https://github.com/fbertran/bigPCAcpp/
BugReports: https://github.com/fbertran/bigPCAcpp/issues/
Packaged: 2025-10-14 21:24:55 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-10-20 19:20:07 UTC

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New package funbootband with initial version 0.2.0
Package: funbootband
Title: Simultaneous Prediction and Confidence Bands for Time Series Data
Version: 0.2.0
Description: Provides methods to compute simultaneous prediction and confidence bands for dense time series data. The implementation builds on the functional bootstrap approach proposed by Lenhoff et al. (1999) <doi:10.1016/S0966-6362(98)00043-5> and extended by Koska et al. (2023) <doi:10.1016/j.jbiomech.2023.111506> to support both independent and clustered (hierarchical) data. Includes a simple API (see band()) and an 'Rcpp' backend for performance.
License: GPL-3
URL: https://github.com/koda86/funbootband-cran
BugReports: https://github.com/koda86/funbootband-cran/issues
Depends: R (>= 3.5)
Imports: Rcpp, stats
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
ByteCompile: true
NeedsCompilation: yes
Packaged: 2025-10-14 13:25:59 UTC; daniel
Author: Daniel Koska [aut, cre, cph]
Maintainer: Daniel Koska <dkoska@proton.me>
Repository: CRAN
Date/Publication: 2025-10-20 09:20:02 UTC

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New package arete with initial version 0.1
Package: arete
Title: Automated REtrieval from TExt
Version: 0.1
Date: 2025-09-29
Author: Vasco V. Branco [cre, aut] , Vaughn Shirey [ctb] , Thomas Merrien [ctb] , Pedro Cardoso [aut]
Maintainer: Vasco V. Branco <vasco.branco@helsinki.fi>
Description: A Python based pipeline for extraction of species occurrence data through the usage of large language models. Includes validation tools designed to handle model hallucinations for a scientific, rigorous use of LLM. Currently supports usage of GPT with more planned, including local and non-proprietary models. For more details on the methodology used please consult the references listed under each function, such as Kent, A. et al. (1995) <doi:10.1002/asi.5090060209>, van Rijsbergen, C.J. (1979, ISBN:978-0408709293, Levenshtein, V.I. (1966) <https://nymity.ch/sybilhunting/pdf/Levenshtein1966a.pdf> and Klaus Krippendorff (2011) <https://repository.upenn.edu/handle/20.500.14332/2089>.
Depends: R (>= 4.3.0)
Imports: terra, cld2, stringr, reticulate, pdftools, fedmatch, kableExtra, dplyr, gecko, methods, ggplot2, jsonlite, googledrive, irr, rmarkdown
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-14 13:54:02 UTC; sauron
Repository: CRAN
Suggests: knitr
VignetteBuilder: knitr
Date/Publication: 2025-10-20 09:20:07 UTC

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Sun, 19 Oct 2025

New package RPIV with initial version 1.0.0
Package: RPIV
Title: Residual Prediction Test for Well-Specification of Instrumental Variable Models
Version: 1.0.0
Description: A test for the well-specification of the linear instrumental variable model. The test is based on trying to predict the residuals of a two-stage least-squares regression using a random forest. Details can be found in Scheidegger, Londschien and Bühlmann (2025) "A residual prediction test for the well-specification of linear instrumental variable models" <doi:10.48550/arXiv.2506.12771>.
URL: https://github.com/cyrillsch/RPIV
License: GPL (>= 3)
Encoding: UTF-8
Imports: ranger, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-14 12:07:48 UTC; scyrill
Author: Cyrill Scheidegger [aut, cre, cph]
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2025-10-19 13:10:07 UTC

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New package lightsf with initial version 0.1.0
Package: lightsf
Title: A Curated Collection of Georeferenced and Spatial Datasets
Version: 0.1.0
Maintainer: Ingrid Romero Pinilla <ingridpinilla11@gmail.com>
Description: Provides a diverse collection of georeferenced and spatial datasets from different domains including urban studies, housing markets, environmental monitoring, transportation, and socio-economic indicators. The package consolidates datasets from multiple open sources such as Kaggle, chopin, spData, adespatial, and bivariateLeaflet. It is designed for researchers, analysts, and educators interested in spatial analysis, geostatistics, and geographic data visualization. The datasets include point patterns, polygons, socio-economic data frames, and network-like structures, allowing flexible exploration of geospatial phenomena.
License: GPL-3
URL: https://github.com/roming20/lightsf, https://roming20.github.io/lightsf/
BugReports: https://github.com/roming20/lightsf/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-14 03:40:58 UTC; ingri
Author: Ingrid Romero Pinilla [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-19 13:10:02 UTC

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Fri, 17 Oct 2025

New package partialling.out with initial version 0.2.0
Package: partialling.out
Title: Residuals from Partial Regressions
Version: 0.2.0
Description: Creates a data frame with the residuals of partial regressions of the main explanatory variable and the variable of interest. This method follows the Frisch-Waugh-Lovell theorem, as explained in Lovell (2008) <doi:10.3200/JECE.39.1.88-91>.
License: GPL (>= 3)
BugReports: https://github.com/ropensci/partialling.out/issues/
Suggests: tinytest, tinysnapshot, knitr, rmarkdown, palmerpenguins, tinytable, fwlplot, tsibble, units, purrr, fontquiver, rsvg, svglite
Encoding: UTF-8
VignetteBuilder: knitr
Imports: glue, lifecycle, rlang, fixest, lfe, stats, tinyplot
URL: https://docs.ropensci.org/partialling.out/, https://github.com/ropensci/partialling.out/
NeedsCompilation: no
Packaged: 2025-10-12 18:55:10 UTC; marc
Author: Marc Bosch-Matas [aut, cre] , Christian Testa [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/703>), Kyle Butts [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/703>), Adam Loy [rev] for rOpen [...truncated...]
Maintainer: Marc Bosch-Matas <mboschmatas@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-10-17 20:10:02 UTC

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New package nbpInference with initial version 1.0.3
Package: nbpInference
Title: Inference on Average Treatment Effects for Continuous Treatments
Version: 1.0.3
Maintainer: Anthony Frazier <anthony.frazier@colostate.edu>
Description: Conduct inference on the sample average treatment effect for a matched (observational) dataset with a continuous treatment. Equipped with calipered non-bipartite matching, bias-corrected sample average treatment effect estimation, and covariate-adjusted variance estimation. Matching, estimation, and inference methods are described in Frazier, Heng and Zhou (2024) <doi:10.48550/arXiv.2409.11701>.
Imports: nbpMatching, stats, Rdpack
URL: https://github.com/AnthonyFrazierCSU/nbpInference
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/AnthonyFrazierCSU/nbpInference/issues
NeedsCompilation: no
Packaged: 2025-10-12 21:17:37 UTC; iaman
Author: Anthony Frazier [aut, cre, cph], Siyu Heng [aut], Wen Zhou [aut]
Repository: CRAN
Date/Publication: 2025-10-17 20:10:07 UTC

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New package mvalpha with initial version 0.5.1
Package: mvalpha
Title: Krippendorff's Alpha for Multi-Valued Data
Version: 0.5.1
Description: Calculate Krippendorff's alpha for multi-valued data using the methods introduced by Krippendorff and Craggs (2016) <doi:10.1080/19312458.2016.1228863>. Nominal, ordinal, interval, and ratio data types are supported, with options to create bootstrapped estimates of alpha and/or parallelize calculations.
License: AGPL (>= 3)
Encoding: UTF-8
URL: https://github.com/therealcfdrake/mvalpha
BugReports: https://github.com/therealcfdrake/mvalpha/issues
Depends: R (>= 4.2.0)
LazyData: true
Imports: stats, utils, rlang, Rdpack
Suggests: parallel
NeedsCompilation: no
Packaged: 2025-10-13 15:24:27 UTC; corie
Author: Corie Drake [aut, cre, cph]
Maintainer: Corie Drake <therealcfdrake@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-17 20:20:07 UTC

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New package MSUthemes with initial version 1.0.0
Package: MSUthemes
Title: Michigan State University (MSU) Palettes and Themes
Version: 1.0.0
Maintainer: Emilio Xavier Esposito <emilio.esposito@gmail.com>
Description: Defines colour palettes and themes for Michigan State University (MSU) publications and presentations. Palettes and themes are supported in both base R and 'ggplot2' graphics, and are intended to provide consistency between those creating documents and presentations.
License: CC BY-SA 4.0
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: ggplot2, graphics, grDevices, purrr, showtext, sysfonts, systemfonts
Suggests: covr, devtools, ggrepel, scales, dplyr, knitr, markdown, quarto, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: quarto
URL: https://github.com/emilioxavier/MSUthemes, https://emilioxavier.github.io/MSUthemes/
BugReports: https://github.com/emilioxavier/MSUthemes/issues
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-13 20:25:05 UTC; emilio
Author: Emilio Xavier Esposito [aut, cre, cph] , Nicola Rennie [aut], Michigan State University [fnd]
Repository: CRAN
Date/Publication: 2025-10-17 20:30:02 UTC

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New package clusterGGM with initial version 0.1.0
Package: clusterGGM
Title: Sparse Gaussian Graphical Modeling with Variable Clustering
Version: 0.1.0
Date: 2025-10-13
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.9), dplyr, parallel, rlang, stats
Suggests: mvtnorm
LinkingTo: Rcpp, RcppEigen
Description: Perform sparse estimation of a Gaussian graphical model (GGM) with node aggregation through variable clustering. Currently, the package implements the clusterpath estimator of the Gaussian graphical model (CGGM) (Touw, Alfons, Groenen & Wilms, 2025; <doi:10.48550/arXiv.2407.00644>).
License: GPL (>= 3)
URL: https://github.com/aalfons/clusterGGM
BugReports: https://github.com/aalfons/clusterGGM/issues
Author: Daniel J.W. Touw [aut] , Andreas Alfons [aut, cre] , Ines Wilms [aut] , Patrick J.F. Groenen [ths]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-10-13 15:58:42 UTC; alfons
Repository: CRAN
Date/Publication: 2025-10-17 20:20:13 UTC

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Thu, 16 Oct 2025

New package ZIHINAR1 with initial version 0.1.0
Package: ZIHINAR1
Title: Zero-Inflated and Hurdle INAR(1) Models
Version: 0.1.0
Maintainer: Fusheng Yang <fusheng.yang@uconn.edu>
Description: Provides tools for estimating Zero-Inflated INAR(1) (ZI-INAR(1)) and Hurdle INAR(1) (H-INAR(1)) models using 'Stan'. It allows users to simulate time series data for these models, estimate parameters, and evaluate model fit using various criteria. Functions include model estimation, simulation, and likelihood-based metrics.
License: GPL-3
Encoding: UTF-8
Imports: rstan, VGAM, actuar, matrixStats, coda, ggplot2, gridExtra, stats, knitr, utils
Suggests: testthat (>= 3.0.0), rmarkdown
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-10-11 21:02:31 UTC; ivyyang
Author: Fusheng Yang [aut, cre], Victor Hugo Lachos Davila [aut]
Repository: CRAN
Date/Publication: 2025-10-16 18:30:07 UTC

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New package toml with initial version 1.0.0
Package: toml
Title: Read, Write, and Modify TOML Files
Version: 1.0.0
Description: Simple toolkit for working with TOML text. Based on tomledit which allows for modifying TOML while preserving order, comments,and whitespace.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, V8 (>= 8.0.0)
BugReports: https://github.com/jeroen/toml/issues
NeedsCompilation: no
Packaged: 2025-10-10 22:29:17 UTC; jeroen
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 18:10:02 UTC

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New package MedxR with initial version 0.1.0
Package: MedxR
Title: Access Drug Regulatory Data via FDA and Health Canada APIs
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access drug regulatory data from public RESTful APIs including the 'FDA Open API' and the 'Health Canada Drug Product Database API', retrieving real-time or historical information on drug approvals, adverse events, recalls, and product details. Additionally, the package includes a curated collection of open datasets focused on drugs, pharmaceuticals, treatments, and clinical studies. These datasets cover diverse topics such as treatment dosages, pharmacological studies, placebo effects, drug reactions, misuses of pain relievers, and vaccine effectiveness. The package supports reproducible research and teaching in pharmacology, medicine, and healthcare by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'FDA API' <https://open.fda.gov/apis/> and 'Health Canada API' <https://health-products.canada.ca/api/documentation/dpd-documentation-en.html>.
License: GPL-3
Language: en
URL: https://github.com/lightbluetitan/medxr, https://lightbluetitan.github.io/medxr/
BugReports: https://github.com/lightbluetitan/medxr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr, memoise
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-11 23:23:55 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-16 18:30:13 UTC

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New package KQM with initial version 1.1.1
Package: KQM
Title: K Quantiles Medoids (KQM) Clustering
Version: 1.1.1
Date: 2025-10-13
Depends: methods, MASS, gtools, cluster
Description: K Quantiles Medoids (KQM) clustering applies quantiles to divide data of each dimension into K mean intervals. Combining quantiles of all the dimensions of the data and fully permuting quantiles on each dimension is the strategy to determine a pool of candidate initial cluster centers. To find the best initial cluster centers from the pool of candidate initial cluster centers, two methods based on quantile strategy and PAM strategy respectively are proposed. During a clustering process, medoids of clusters are used to update cluster centers in each iteration. Comparison between KQM and the method of randomly selecting initial cluster centers shows that KQM is almost always getting clustering results with smaller total sum squares of distances.
License: GPL-2
NeedsCompilation: no
Packaged: 2025-10-12 17:35:40 UTC; Yarong
Author: Yarong Yang [aut, cre], Nader Ebrahimi [ctb], Yoram Rubin [ctb], Jacob Zhang [ctb]
Maintainer: Yarong Yang <Yi.YA_yaya@hotmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 18:30:19 UTC

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New package datareportR with initial version 0.1
Package: datareportR
Title: Fast Data Summary Reports
Version: 0.1
Description: Generates an RMarkdown data report with two components: a summary of an input dataset and a diff of the dataset relative to an old version.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Suggests: tinytest, datasets
Imports: diffdf, rmarkdown, skimr
NeedsCompilation: no
Packaged: 2025-10-11 23:23:27 UTC; bcong
Author: Bryant Cong [aut, cre]
Maintainer: Bryant Cong <bryant.bcp@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 18:30:02 UTC

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New package command with initial version 0.1.2
Package: command
Title: Process Command Line Arguments
Version: 0.1.2
Description: Process command line arguments, as part of a data analysis pipeline. The pipeline is controlled by a Makefile or shell script. Functions to construct Makefiles and shell scripts are included in a the package. The aim is a pipeline that is modular, transparent, and reliable.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: cli, fs, methods, tools
Suggests: covr, dplyr, ggplot2, knitr, littler, quarto, readr, rmarkdown, testthat (>= 3.0.0), tidyr, withr
URL: https://bayesiandemography.github.io/command/, https://github.com/bayesiandemography/command
BugReports: https://github.com/bayesiandemography/command/issues
NeedsCompilation: no
Packaged: 2025-10-11 05:44:57 UTC; johnbryant
Author: John Bryant [aut, cre], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>
Repository: CRAN
Date/Publication: 2025-10-16 18:10:07 UTC

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New package NOVA with initial version 0.1.1
Package: NOVA
Title: Neural Output Visualization and Analysis
Version: 0.1.1
Description: A comprehensive toolkit for analyzing and visualizing neural data outputs, including Principal Component Analysis (PCA) trajectory plotting, Multi-Electrode Array (MEA) heatmap generation, and variable importance analysis. Provides publication-ready visualizations with flexible customization options for neuroscience research applications.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: readr, tibble, DT, knitr, scales, readxl, writexl, dplyr, ggplot2, tidyr (>= 1.1.0), purrr (>= 0.3.0), rlang (>= 0.4.0), stringr (>= 1.4.0), RColorBrewer (>= 1.1.0), viridis (>= 0.5.0), pheatmap (>= 1.0.0), gridExtra (>= 2.3.0)
Suggests: utils, testthat (>= 3.0.0), rmarkdown (>= 2.0)
URL: https://github.com/atudoras/NOVA
BugReports: https://github.com/atudoras/NOVA/issues
NeedsCompilation: no
Packaged: 2025-10-10 22:03:33 UTC; alextudoras
Author: Alex Tudoras [aut, cre]
Maintainer: Alex Tudoras <alex.tudorasmiravet@ucsf.edu>
Repository: CRAN
Date/Publication: 2025-10-16 18:00:07 UTC

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New package cpp4r with initial version 0.3.0
Package: cpp4r
Title: Header-Only 'C++' and 'R' Interface
Version: 0.3.0
Description: Provides a header only, 'C++' interface to 'R' with enhancements over 'cpp11'. Enforces copy-on-write semantics consistent with 'R' behavior. Offers native support for ALTREP objects, 'UTF-8' string handling, modern 'C++11' features and idioms, and reduced memory requirements. Allows for vendoring, making it useful for restricted environments. Compared to 'cpp11', it adds support for converting 'C++' maps to 'R' lists, 'Roxygen' documentation directly in 'C++' code, proper handling of matrix attributes, support for nullable external pointers, bidirectional copy of complex number types, flexibility in type conversions, use of nullable pointers, and various performance optimizations.
License: Apache License (>= 2)
URL: https://cpp4r.org, https://github.com/pachadotdev/cpp4r
BugReports: https://github.com/pachadotdev/cpp4r/issues
Depends: R (>= 4.0.0)
Imports: brio, cli, decor, desc, glue, tibble, tools, utils, vctrs, withr
Suggests: mockery, roxygen2, testthat (>= 3.2.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-10 21:27:47 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Posit Software, PBC [aut]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 18:00:02 UTC

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New package skiftiTools with initial version 0.1.0
Package: skiftiTools
Title: Tools and Operations for Reading, Writing, Viewing, and Manipulating SKIFTI Files
Version: 0.1.0
Description: SKIFTI files contain brain imaging data in coordinates across Tract Based Spatial Statistics (TBSS) skeleton, which represent the brain white matter intensity values. 'skiftiTools' provides a unified environment for reading, writing, visualizing and manipulating SKIFTI-format data. It supports the "subsetting", "concatenating", and using data as data.frame for R statistical functions. The SKIFTI data is structured for convenient access to the data and metadata, and includes support for visualizations. For more information see Merisaari et al. (2024) <doi:10.57736/87d2-0608>.
Depends: R (>= 4.2.0)
License: GPL-3
Encoding: UTF-8
Imports: RNifti, stringr, R.utils, rmarchingcubes, Rvcg, png, rgl, oce, abind, methods, s2dv
URL: https://github.com/haanme/skiftiTools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-10 11:13:51 UTC; root
Author: Harri Merisaari [aut] , Ilkka Suuronen [cre]
Maintainer: Ilkka Suuronen <ilksuu@utu.fi>
Repository: CRAN
Date/Publication: 2025-10-16 12:10:02 UTC

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New package sensitivityIxJ with initial version 0.1.5
Package: sensitivityIxJ
Title: Exact Nonparametric Sensitivity Analysis for I by J Contingency Tables
Version: 0.1.5
Description: Implements exact, normally approximated, and sampling-based sensitivity analysis for observational studies with contingency tables. Includes exact (kernel-based), normal approximation, and sequential importance sampling (SIS) methods using 'Rcpp' for computational efficiency. The methods build upon the framework introduced in Rosenbaum (2002) <doi:10.1007/978-1-4757-3692-2> and the generalized design sensitivity framework developed by Chiu (2025) <doi:10.48550/arXiv.2507.17207>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp
LinkingTo: Rcpp
Suggests: rbounds
NeedsCompilation: yes
Packaged: 2025-10-10 20:51:23 UTC; mac
Author: Elaine Chiu [aut, cre]
Maintainer: Elaine Chiu <kchiu4@wisc.edu>
Repository: CRAN
Date/Publication: 2025-10-16 12:20:02 UTC

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New package QualityMeasure with initial version 2.0.1
Package: QualityMeasure
Title: Methods for Analyzing Quality Measure Performance
Version: 2.0.1
Date: 2025-10-09
Description: Quality of care is compared across accountable entities, including hospitals, provider groups, and insurance plans, using standardized quality measures. However, observed variations in quality measure performance might be the result of chance sampling or measurement errors. Contains functions for estimating the reliability of unadjusted and risk-standardized quality measures.
License: GPL (>= 3)
Depends: R (>= 4.0), ggplot2, doParallel, lme4
Imports: foreach, parallel, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-10 19:36:07 UTC; knies
Author: Kenneth Nieser [aut, cre, cph]
Maintainer: Kenneth Nieser <nieser@stanford.edu>
Repository: CRAN
Date/Publication: 2025-10-16 12:20:11 UTC

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New package dispersionIndicators with initial version 0.1.1
Package: dispersionIndicators
Title: Indicators for the Analysis of Dispersion of Datasets with Batched and Ordered Samples
Version: 0.1.1
Depends: R (>= 4.1)
Description: Provides methods for analyzing the dispersion of tabular datasets with batched and ordered samples. Based on convex hull or integrated covariance Mahalanobis, several indicators are implemented for inter and intra batch dispersion analysis. It is designed to facilitate robust statistical assessment of data variability, supporting applications in exploratory data analysis and quality control, for such datasets as the one found in metabololomics studies. For more details see Salanon (2024) <doi:10.1016/j.chemolab.2024.105148> and Salanon (2025) <doi:10.1101/2025.08.01.668073>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: cli, pdftools, testthat (>= 3.0.0)
Imports: corpcor, ggplot2 (>= 3.5.2), stats, utils
NeedsCompilation: no
Packaged: 2025-10-10 15:35:33 UTC; ejules
Author: Brice Mulot [aut], Elfried Salanon [ctb], Etienne Jules [aut, cre], INRAE [cph]
Maintainer: Etienne Jules <etienne.jules@inrae.fr>
Repository: CRAN
Date/Publication: 2025-10-16 12:10:07 UTC

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New package bootkmeans with initial version 1.0.0
Package: bootkmeans
Title: A Bootstrap Augmented k-Means Algorithm for Fuzzy Partitions
Version: 1.0.0
Date: 2025-09-18
Author: Jesse S. Ghashti [aut, cre], Jeffrey L. Andrews [aut], John R.J. Thompson [aut], Joyce Epp [aut], Harkunwar S. Kochar [aut]
Maintainer: Jesse S. Ghashti <jesse.ghashti@ubc.ca>
Description: Implementation of the bootkmeans algorithm, a bootstrap augmented k-means algorithm that returns probabilistic cluster assignments. From paper by Ghashti, J.S., Andrews, J.L. Thompson, J.R.J., Epp, J. and H.S. Kochar (2025), "A bootstrap augmented k-means algorithm for fuzzy partitions" (Submitted).
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0), lmtest, abind
Imports: MASS, stats, fclust, Thresher, mvtnorm
Suggests: knitr, markdown, ggplot2, patchwork, scales, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-10 21:25:58 UTC; jesseghashti
Language: en-US
Repository: CRAN
Date/Publication: 2025-10-16 12:20:06 UTC

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New package tmapverse with initial version 0.1.0
Package: tmapverse
Title: Meta-Package for Thematic Mapping with 'tmap'
Version: 0.1.0
Description: Attaches a set of packages commonly used for spatial plotting with 'tmap'. It includes 'tmap' and its extensions ('tmap.glyphs', 'tmap.networks', 'tmap.cartogram', 'tmap.mapgl'), as well as supporting spatial data packages ('sf', 'stars', 'terra') and 'cols4all' for exploring color palettes. The collection is designed for thematic mapping workflows and does not include the full set of packages from the R-spatial ecosystem.
Depends: R (>= 4.1)
Imports: tmap (>= 4.2), tmap.glyphs, tmap.networks, tmap.cartogram, tmap.mapgl, sf, stars, terra, cols4all, cli, crayon
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-09 15:24:09 UTC; mtes
Author: Martijn Tennekes [aut, cre], Robin Lovelace [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 11:40:02 UTC

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New package qatarcars with initial version 1.0.0
Package: qatarcars
Title: Data on Cars in Qatar
Version: 1.0.0
Date: 2025-10-09
Description: Fuel economy, size, performance, and price data for cars in Qatar in 2025. Mirrors many of the columns in mtcars, but uses (1) non-US-centric makes and models, (2) 2025 prices, and (3) metric measurements, making it more appropriate for use as an example dataset outside the United States.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
URL: https://profmusgrave.github.io/qatarcars/, https://github.com/profmusgrave/qatarcars
BugReports: https://github.com/profmusgrave/qatarcars/issues
Suggests: altdoc, downlit, dplyr, ggplot2, scales, testthat (>= 3.0.0), tibble, xml2
NeedsCompilation: no
Packaged: 2025-10-09 14:58:27 UTC; andrew
Author: Paul Musgrave [aut, cre, cph] , Andrew Heiss [aut]
Maintainer: Paul Musgrave <rpm47@georgetown.edu>
Repository: CRAN
Date/Publication: 2025-10-16 12:00:02 UTC

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New package eventreport with initial version 0.1.1
Package: eventreport
Title: Diagnose, Visualize, and Aggregate Event Report Level Data
Version: 0.1.1
Maintainer: Sebastian van Baalen <sebastian.van-baalen@pcr.uu.se>
Description: Diagnose, visualize, and aggregate event report level data to the event level. Users provide an event report level dataset, specify their aggregation rules, and the package produces a dataset aggregated at the event level. Also includes the Modes and Agents of Election-Related Violence in Côte d'Ivoire and Kenya (MAVERICK) dataset, an event report level dataset that records all documented instances of electoral violence from the first multiparty election to 2022 in Côte d'Ivoire (1995-2022) and Kenya (1992-2022).
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Imports: dplyr, lubridate, purrr, tidyr, ggplot2, magrittr, rlang, scales, tidyselect, tibble
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, devtools, tidyverse, tinytable
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
URL: https://github.com/sebastianvanbaalen/eventreport
BugReports: https://github.com/sebastianvanbaalen/eventreport/issues
NeedsCompilation: no
Packaged: 2025-10-09 15:56:07 UTC; sebastian
Author: Sebastian van Baalen [aut, cre, cph] , Kristine Hoeglund [aut]
Repository: CRAN
Date/Publication: 2025-10-16 11:40:07 UTC

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New package envsetup with initial version 0.3.0
Package: envsetup
Title: Support the Setup of the R Environment for Clinical Trial Programming Workflows
Version: 0.3.0
Description: The purpose of this package is to support the setup the R environment. The two main features are 'autos', to automatically source files and/or directories into your environment, and 'paths' to consistently set path objects across projects for input and output. Both are implemented using a configuration file to allow easy, custom configurations that can be used for multiple or all projects.
License: Apache License 2.0
Encoding: UTF-8
Imports: config, fs, purrr, rlang, usethis, envnames, utils
Suggests: rmarkdown, testthat, knitr, kableExtra, magrittr, devtools, readr, tidyr, withr, lintr, styler, renv, covr
VignetteBuilder: knitr
URL: https://github.com/pharmaverse/envsetup
BugReports: https://github.com/pharmaverse/envsetup/issues
NeedsCompilation: no
Packaged: 2025-10-09 19:14:04 UTC; nmasel
Author: Nicholas Masel [aut, cre], Mike Stackhouse [aut] , Aidan Ceney [aut], Johnson & Johnson Innovative Medicine [cph, fnd], Atorus Research, Inc. [cph]
Maintainer: Nicholas Masel <nmasel@its.jnj.com>
Repository: CRAN
Date/Publication: 2025-10-16 11:50:02 UTC

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New package descsuppRplots with initial version 1.0
Package: descsuppRplots
Title: Generate Plots for All Variables in Descriptive Tables
Version: 1.0
Description: Visualizes variables from descriptive tables produced by 'descsuppR::buildDescrTbl()' using 'ggstatsplot'. It automatically maps each variable to a suitable 'ggstatsplot' plotting function based on the applied or suggested statistical test. Users can override the automatic mapping via a named list of plot specifications. The package supports grouped and ungrouped tables, and forwards additional arguments to the underlying 'ggstatsplot' functions, providing quick, reproducible, and customizable default visualizations for descriptive summaries.
Depends: descsuppR (>= 1.1)
Imports: dplyr, descutils, rlang, tibble, ggplot2, ggstatsplot (>= 0.12.0), ggsignif, zoo
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-09 16:14:04 UTC; kueck2
Author: Andreas Leha [aut], Fabian Kueck [aut, cre]
Maintainer: Fabian Kueck <fabian.kueck@med.uni-goettingen.de>
Repository: CRAN
Date/Publication: 2025-10-16 11:40:13 UTC

More information about descsuppRplots at CRAN
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New package brfinance with initial version 0.2.0
Package: brfinance
Title: Simplified Access to Brazilian Financial and Macroeconomic Data
Version: 0.2.0
Description: It offers simplified access to Brazilian macroeconomic and financial indicators selected from official sources, such as the 'IBGE' (Brazilian Institute of Geography and Statistics) via the 'SIDRA' API and the 'Central Bank of Brazil' via the 'SGS' API. It allows users to quickly retrieve and visualize data series such as the unemployment rate and the Selic interest rate. This package was developed for data access and visualization purposes, without generating forecasts or statistical results. For more information, see the official APIs: <https://sidra.ibge.gov.br/> and <https://dadosabertos.bcb.gov.br/dataset/>.
License: MIT + file LICENSE
URL: https://github.com/efram2/brfinance
BugReports: https://github.com/efram2/brfinance/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, scales, httr2, lubridate, sidrar, stringr, janitor
Suggests: testthat (>= 3.0.0), rmarkdown
NeedsCompilation: no
Packaged: 2025-10-09 14:12:43 UTC; user
Author: Joao Paulo dos Santos Pereira Barbosa [aut, cre]
Maintainer: Joao Paulo dos Santos Pereira Barbosa <joao.31582129@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-16 11:40:17 UTC

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New package BayesianDisaggregation with initial version 0.1.2
Package: BayesianDisaggregation
Title: Bayesian Methods for Economic Data Disaggregation
Version: 0.1.2
Depends: R (>= 4.1.0)
Description: Implements a novel Bayesian disaggregation framework that combines Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) dimension reduction of prior weight matrices with deterministic Bayesian updating rules. The method provides Markov Chain Monte Carlo (MCMC) free posterior estimation with built-in diagnostic metrics. While based on established PCA (Jolliffe, 2002) <doi:10.1007/b98835> and Bayesian principles (Gelman et al., 2013) <doi:10.1201/b16018>, the specific integration for economic disaggregation represents an original methodological contribution.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, dplyr, tidyr, stringr, foreach, doParallel, openxlsx, rlang, tibble, magrittr
Suggests: knitr, rmarkdown, ggplot2, readr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-09 15:47:09 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-10-16 11:40:21 UTC

More information about BayesianDisaggregation at CRAN
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Wed, 15 Oct 2025

New package summarySCI with initial version 0.1.1
Package: summarySCI
Title: Produces Publication-Ready Summary Tables
Version: 0.1.1
Description: Produces tables with descriptive statistics for continuous, categorical and dichotomous variables. It is largely based on the package 'gtsummary'; Sjoberg DD et al. (2021) <doi:10.32614/RJ-2021-053>.
License: LGPL-3
Encoding: UTF-8
Imports: Hmisc, cardx, dplyr, gtsummary (>= 2.3.0), forcats, labelled, purrr, rlang, tidyr, flextable, officer
Suggests: knitr, tidyverse, survival
VignetteBuilder: knitr
URL: https://github.com/SAKK-Statistics/summarySCI/
BugReports: https://github.com/SAKK-Statistics/summarySCI/issues
NeedsCompilation: no
Packaged: 2025-10-09 12:20:09 UTC; charlottemi
Author: Saemi Schaer [aut], Charlotte Micheloud [cre, aut]
Maintainer: Charlotte Micheloud <Charlotte.Micheloud@swisscancerinstitute.ch>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-10-15 20:00:02 UTC

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New package SimIndep with initial version 0.1.2
Package: SimIndep
Title: WISE: a Weighted Similarity Aggregation Test for Serial Independence
Version: 0.1.2
Description: A fast implementation of the weighted information similarity aggregation (WISE) test for detecting serial dependence, particularly suited for high-dimensional and non-Euclidean time series. Includes functions for constructing similarity matrices and conducting hypothesis testing. Users can use different similarity measures and define their own weighting schemes. For more details see Q Zhu, M Liu, Y Han, D Zhou (2025) <doi:10.48550/arXiv.2509.05678>.
Imports: FNN, stats
Suggests: MASS
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-09 07:57:42 UTC; zqh
Author: Qihua Zhu [aut, cre], Mingshuo Liu [aut], Yuefeng Han [aut], Doudou Zhou [aut]
Maintainer: Qihua Zhu <zhuqihua@u.nus.edu>
Repository: CRAN
Date/Publication: 2025-10-15 19:30:10 UTC

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New package ReliaPlotR with initial version 0.4
Package: ReliaPlotR
Title: Interactive Reliability Probability Plots
Version: 0.4
Description: Build interactive Reliability Probability Plots with 'plotly' by Carson Sievert (2020) <https://plotly-r.com>, an interactive web-based graphing library.
URL: https://paulgovan.github.io/ReliaPlotR/, https://github.com/paulgovan/ReliaPlotR
BugReports: https://github.com/paulgovan/ReliaPlotR/issues
License: Apache License
Imports: plotly, ReliaGrowR, WeibullR
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0), WeibullR.shiny
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-09 12:41:51 UTC; paulgovan
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-15 20:00:19 UTC

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New package rChEA3 with initial version 0.2.0
Package: rChEA3
Title: R Client for the 'ChEA3' Transcription Factor Enrichment API
Version: 0.2.0
Description: Interface to the 'ChEA3' transcription factor enrichment API. 'ChEA3' integrates evidence from ChIP-seq, co-expression, and literature resources to prioritize transcription factors regulating a given set of genes. This package provides convenient R functions to query the API, retrieve ranked results across collections (including integrated scores), and standardize output for downstream analysis in R/Bioconductor workflows. See <https://maayanlab.cloud/chea3/> or Keenan (2019) <doi:10.1093/nar/gkz446> for further details.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ckntav/rChEA3, https://ckntav.github.io/rChEA3/
BugReports: https://github.com/ckntav/rChEA3/issues
Imports: cli, crayon, dplyr, ggplot2, httr, jsonlite, lubridate, rlang, tidyselect, writexl
Depends: R (>= 4.1.0)
LazyData: true
Suggests: knitr, readxl, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-09 02:20:14 UTC; chris
Author: Christophe Tav [aut, cre]
Maintainer: Christophe Tav <christophe.tav@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-15 19:10:02 UTC

More information about rChEA3 at CRAN
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New package rcd3 with initial version 0.1.1
Package: rcd3
Title: Efficient Row-Column Designs for 3 Level Factorial Experiments in 3 Rows
Version: 0.1.1
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Description: Provides functions to construct efficient row-column designs for 3-level factorial experiments in 3 rows. The designs ensure the estimation of all main effects (full efficiency) and two factor interactions in minimum replications. For more details, see Dey, A. and Mukerjee, R. (2012) <doi:10.1016/j.spl.2012.06.014> and Dash, S., Parsad, R., and Gupta, V. K. (2013) <doi:10.1007/s40003-013-0059-5>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6)
NeedsCompilation: no
Author: Sunil Kumar Yadav [aut], Sukanta Dash [aut, cre]
Packaged: 2025-10-09 10:37:26 UTC; sunil
Repository: CRAN
Date/Publication: 2025-10-15 20:00:07 UTC

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New package pvars with initial version 1.1.0
Package: pvars
Title: VAR Modeling for Heterogeneous Panels
Version: 1.1.0
Maintainer: Lennart Empting <lennart.empting@vwl.uni-due.de>
Description: Implements (1) panel cointegration rank tests, (2) estimators for panel vector autoregressive (VAR) models, and (3) identification methods for panel structural vector autoregressive (SVAR) models as described in the accompanying vignette. The implemented functions allow to account for cross-sectional dependence and for structural breaks in the deterministic terms of the VAR processes. Among the large set of functions, particularly noteworthy are those that implement (1) the correlation-augmented inverse normal test on the cointegration rank by Arsova and Oersal (2021, <doi:10.1016/j.ecosta.2020.05.002>), (2) the two-step estimator for pooled cointegrating vectors by Breitung (2005, <doi:10.1081/ETC-200067895>), and (3) the pooled identification based on independent component analysis by Herwartz and Wang (2024, <doi:10.1002/jae.3044>).
License: MIT + file LICENSE
URL: https://github.com/Lenni89/pvars
BugReports: https://github.com/Lenni89/pvars/issues
Depends: R (>= 3.5.0), svars (>= 1.3.4)
Imports: clue, copula, DEoptim, expm, ggplot2, MASS, pbapply, reshape2, scales, stats, steadyICA, utils, vars
Suggests: ggfortify, ggpubr, knitr, plm, RColorBrewer, testthat (>= 2.1.0), tikzDevice, urca
Encoding: UTF-8
LazyData: TRUE
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-09 08:46:08 UTC; lennart
Author: Lennart Empting [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-10-15 19:30:02 UTC

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New package medicalcoder with initial version 0.6.0
Package: medicalcoder
Title: Tools for Working with ICD Codes and Comorbidity Algorithms
Version: 0.6.0
Description: Provides tools for working with medical coding schemas such as the International Classification of Diseases (ICD). Includes functions for comorbidity classification algorithms such as the Pediatric Complex Chronic Conditions (PCCC), Charlson, and Elixhauser indices.
Depends: R (>= 3.5.0)
License: GPL-2
Language: en-US
Encoding: UTF-8
LazyData: true
Suggests: data.table, kableExtra, knitr, rmarkdown, tibble (>= 2.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-09 07:13:40 UTC; peterdewitt
Author: Peter DeWitt [aut, cre] , Tell Bennett [ctb] , Seth Russell [ctb] , Meg Rebull [ctb]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2025-10-15 19:20:08 UTC

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New package localLLM with initial version 1.0.1
Package: localLLM
Title: Running Local LLMs with 'llama.cpp' Backend
Version: 1.0.1
Date: 2025-10-08
Description: The 'localLLM' package provides R bindings to the 'llama.cpp' library for running large language models. The package uses a lightweight architecture where the C++ backend library is downloaded at runtime rather than bundled with the package. Package features include text generation, reproducible generation, and parallel inference.
License: MIT + file LICENSE
Depends: R (>= 3.6.0)
Imports: Rcpp (>= 1.0.14), tools, utils
Suggests: testthat (>= 3.0.0), covr
URL: https://github.com/EddieYang211/localLLM
BugReports: https://github.com/EddieYang211/localLLM/issues
SystemRequirements: C++17, libcurl (optional, for model downloading)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-10-08 22:18:08 UTC; yaoshengleo
Author: Eddie Yang [aut] , Yaosheng Xu [aut, cre]
Maintainer: Yaosheng Xu <xu2009@purdue.edu>
Repository: CRAN
Date/Publication: 2025-10-15 19:10:08 UTC

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New package clitable with initial version 0.1.0
Package: clitable
Title: Render Tables in Text for the Terminal
Version: 0.1.0
Description: Render tables in text format in the terminal using ANSI strings thanks to the 'cli' and 'crayon' packages.
License: GPL (>= 3)
URL: https://github.com/kforner/clitable
BugReports: https://github.com/kforner/clitable/issues
Imports: cli, crayon, grDevices, utils
Suggests: devtools, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-09 10:25:37 UTC; vscode
Author: Karl Forner [aut, cre, cph]
Maintainer: Karl Forner <karl.forner@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-10-15 19:50:02 UTC

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New package censuspyrID with initial version 1.0.2
Package: censuspyrID
Title: Explorer of Indonesian Population Pyramids from Harmonized and Non-Harmonized Census Data
Version: 1.0.2
Date: 2025-10-09
Description: Provides harmonized and non-harmonized population pyramid datasets from the Indonesian population censuses (1971–2020), along with tools for visualization and an interactive 'shiny'-based explorer application. Data are processed from IPUMS International (1971–2010) and the Population Census 2020 (BPS Indonesia).
License: GPL-3
Depends: R (>= 4.1)
Imports: shiny (>= 0.13.0), shinythemes, shinyWidgets, shinyjs, dplyr, tidyr, DT, ggplot2, ggthemes, scales, networkD3
Suggests: tibble
Encoding: UTF-8
URL: https://github.com/aripurwantosp/censuspyrID
BugReports: https://github.com/aripurwantosp/censuspyrID/issues
NeedsCompilation: no
Packaged: 2025-10-09 06:19:49 UTC; ari_prasojo2
Author: Ari Purwanto Sarwo Prasojo [aut, cre] , Puguh Prasetyoputra [aut] , Nur Fitri Mustika Ayu [aut]
Maintainer: Ari Purwanto Sarwo Prasojo <ari.prasojo18@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-15 19:20:14 UTC

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New package andorR with initial version 0.3.1
Package: andorR
Title: Optimisation of the Analysis of AND-OR Decision Trees
Version: 0.3.1
Date: 2025-10-01
Description: A decision support tool to strategically prioritise evidence gathering in complex, hierarchical AND-OR decision trees. It is designed for situations with incomplete or uncertain information where the goal is to reach a confident conclusion as efficiently as possible (responding to the minimum number of questions, and only spending resources on generating improved evidence when it is of significant value to the final decision). The framework excels in complex analyses with multiple potential successful pathways to a conclusion ('OR' nodes). Key features include a dynamic influence index to guide users to the most impactful question, a system for propagating answers and semi-quantitative confidence scores (0-5) up the tree, and post-conclusion guidance to identify the best actions to increase the final confidence. These components are brought together in an interactive command-line workflow that guides the analysis from start to finish.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: data.tree, dplyr, yaml, jsonlite, cli, crayon, glue, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
URL: https://epimundi.github.io/andorR/
NeedsCompilation: no
Packaged: 2025-10-09 11:26:45 UTC; Angus Cameron
Author: Angus R Cameron [aut, cre] , EpiMundi [cph, fnd]
Maintainer: Angus R Cameron <angus.cameron@epimundi.com>
Repository: CRAN
Date/Publication: 2025-10-15 20:00:13 UTC

More information about andorR at CRAN
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Tue, 14 Oct 2025

New package NMADTA with initial version 0.1.0
Package: NMADTA
Title: Network Meta-Analysis of Multiple Diagnostic Tests
Version: 0.1.0
Maintainer: Xing Xing <xxing8@jh.edu>
Description: Implements HSROC (hierarchical summary receiver operating characteristic) model developed by Ma, Lian, Chu, Ibrahim, and Chen (2018) <doi:10.1093/biostatistics/kxx025> and hierarchical model developed by Lian, Hodges, and Chu (2019) <doi:10.1080/01621459.2018.1476239> for performing meta-analysis for 1-5 diagnostic tests to simultaneously compare multiple tests within a missing data framework. This package evaluates the accuracy of multiple diagnostic tests and also gives graphical representation of the results.
Depends: R (>= 4.0.0), rjags (>= 4-6)
Imports: coda, ggplot2, ks, reshape2, MCMCpack, MASS, plotrix, graphics, stats, grDevices, Rdpack
License: GPL (>= 2)
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-10-08 20:58:23 UTC; kevinxing
Author: Xing Xing [aut, cre], Boyang Lu [aut], Lifeng Lin [aut], Qinshu Lian [aut], James S. Hodges [aut], Yong Chen [aut], Haitao Chu [aut]
Repository: CRAN
Date/Publication: 2025-10-14 18:20:19 UTC

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New package jointCompRisk with initial version 0.1.0
Package: jointCompRisk
Title: Joint Inference for Competing Risks Data Using Multiple Endpoints
Version: 0.1.0
Maintainer: Wenqing Zhang <wzhan115@jhu.edu>
Description: Tools for competing risks trials that allow simultaneous inference on recovery and mortality endpoints. Provides data preparation helpers, standard cumulative incidence estimators (restricted mean time gained/lost), and severity weighted extensions that integrate longitudinal ordinal outcomes to summarise treatment benefit. Methods follow Wen, Wang, and Hu (2023) Biometrics 79(3):1635-1645 <doi:10.1111/biom.13752>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Imports: dplyr, magrittr, stats, rlang, survival
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown, readr, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/cathyzzzhang/jointCompRisk
BugReports: https://github.com/cathyzzzhang/jointCompRisk/issues
NeedsCompilation: no
Packaged: 2025-10-08 19:10:21 UTC; wzhang
Author: Wenqing Zhang [aut, cre], Jiyang Wen [aut], Chen Hu [aut], Meicheng Wang [aut]
Repository: CRAN
Date/Publication: 2025-10-14 18:20:02 UTC

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New package GINAX with initial version 0.1.0
Package: GINAX
Title: Performs Genome-Wide Iterative Fine-Mapping for Non-Gaussian Data using GINA-X
Version: 0.1.0
Description: Implements GINA-X, a genome-wide iterative fine-mapping method designed for non-Gaussian traits. It supports the identification of credible sets of genetic variants.
License: GPL-3
Encoding: UTF-8
LazyData: false
Imports: GA (>= 3.2), caret (>= 6.0-86), memoise (>= 1.1.0), Matrix (>= 1.2-18), stats (>= 4.2.2)
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, formatR, rrBLUP, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-08 21:08:02 UTC; xushu
Author: Shuangshuang Xu [aut, cre] , Jacob Williams [aut] , Allison Tegge [aut], Marco Ferreira [aut]
Maintainer: Shuangshuang Xu <xshuangshuang@vt.edu>
Repository: CRAN
Date/Publication: 2025-10-14 18:20:25 UTC

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New package frailtyROC with initial version 1.0.0
Package: frailtyROC
Title: Time-Dependent ROC Curve Estimation for Correlated Right-Censored Survival Data
Version: 1.0.0
Description: This contains functions that can be used to estimate a smoothed and a non-smoothed (empirical) time-dependent receiver operating characteristic curve and the corresponding area under the receiver operating characteristic curve for correlated right-censored time-to-event data. See Beyene and Chen (2024) <doi:10.1177/09622802231220496>.
License: GPL (>= 2)
Depends: R(>= 4.2)
Imports: frailtypack, stats, survival, xpectr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-08 20:35:38 UTC; m2kas
Author: Kassu Mehari Beyene [aut, cre] , Ding-Geng Chen [ctb]
Maintainer: Kassu Mehari Beyene <m2kassu@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-14 18:20:09 UTC

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New package fejiv with initial version 0.1.1
Package: fejiv
Title: Fixed Effect Jackknife Instrumental Variables Estimation
Version: 0.1.1
Description: Implements the Fixed Effect Jackknife Instrumental Variables ('FEJIV') estimator of Chao, Swanson, and Woutersen (2023) <doi:10.1016/j.jeconom.2022.12.011>, allowing consistent IV estimation with many (possibly weak) instruments, cluster fixed effects, heteroskedastic errors, and many exogenous covariates. The estimator is recommended by Słoczyński (2024) <doi:10.48550/arXiv.2011.06695> as an alternative to two-stage least squares when estimating the interacted specification of Angrist and Imbens (1995) <doi:10.1080/01621459.1995.10476535>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: MASS, Matrix, stats
Suggests: haven
NeedsCompilation: no
Packaged: 2025-10-08 19:34:14 UTC; qlei
Author: Qihui Lei [aut, cre], Tymon Sloczynski [aut]
Maintainer: Qihui Lei <qlei9@wisc.edu>
Repository: CRAN
Date/Publication: 2025-10-14 18:20:15 UTC

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New package mumarinex with initial version 1.0
Package: mumarinex
Title: Computation of the Multivariate Marine Recovery Index
Version: 1.0
Description: Computation of the multivariate marine recovery index, including functions for data visualization and ecological diagnostics of marine ecosystems. The computational details are described in the original publication. Reference: Chauvel, N., Grall, J., Thiébaut, E., Houbin, C., Pezy, J.P. (in press). "A general-purpose Multivariate Marine Recovery Index for quantifying the influence of human activities on benthic habitat ecological status". Ecological Indicators.
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown
VignetteBuilder: knitr
Imports: knitr, vegan
NeedsCompilation: no
Packaged: 2025-10-08 17:55:20 UTC; Natha
Author: Nathan Chauvel [aut, cre]
Maintainer: Nathan Chauvel <nathan.chauvel@outlook.fr>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-14 18:00:07 UTC

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New package manystates with initial version 1.0.2
Package: manystates
Title: Many Data on State and State-Like Actors in the International System
Version: 1.0.2
Date: 2025-10-08
Description: Comprehensively identifying states and state-like actors is difficult. This package provides data on states and state-like entities in the international system across time. The package combines and cross-references several existing datasets consistent with the aims and functions of the manydata package. It also includes functions for identifying state references in text, and for generating fictional state names.
URL: https://globalgov.github.io/manystates/
BugReports: https://github.com/globalgov/manystates/issues
LazyData: true
License: CC BY 4.0
Depends: R (>= 3.5.0), manydata
Imports: knitr, purrr, stringi
Suggests: pointblank, messydates, testthat (>= 3.0.0), rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-08 15:05:38 UTC; hollway
Author: James Hollway [cre, aut, ctb] , Bernhard Bieri [ctb] , Mylan Evrard [ctb] , Esther Peev [ctb] , Henrique Sposito [ctb] , Jael Tan [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>
Repository: CRAN
Date/Publication: 2025-10-14 17:50:02 UTC

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New package DTEAssurance with initial version 1.0.0
Package: DTEAssurance
Title: Assurance Methods for Clinical Trials with a Delayed Treatment Effect
Version: 1.0.0
Description: Provides functions for planning clinical trials subject to a delayed treatment effect using assurance-based methods. Includes two 'shiny' applications for interactive exploration, simulation, and visualisation of trial designs and outcomes. The methodology is described in: Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024) "Assurance methods for designing a clinical trial with a delayed treatment effect" <doi:10.1002/sim.10136>, Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024) "Adaptive clinical trial design with delayed treatment effects using elicited prior distributions" <doi:10.48550/arXiv.2509.07602>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: SHELF, shiny, stats, survival, nleqslv, nph, nphRCT, dplyr, rjags, rpact, magrittr, rlang, future.apply
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.0)
Date: 2025-09-25
URL: https://jamesalsbury.github.io/DTEAssurance/
NeedsCompilation: no
Packaged: 2025-10-08 08:39:09 UTC; smp21js
Author: James Salsbury [aut, cre]
Maintainer: James Salsbury <jsalsbury1@sheffield.ac.uk>
Repository: CRAN
Date/Publication: 2025-10-14 17:30:02 UTC

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New package carbonpredict with initial version 1.0.0
Package: carbonpredict
Title: Predict Carbon Emissions for UK SMEs
Version: 1.0.0
Description: Predict Scope 1, 2 and 3 carbon emissions for UK Small and Medium-sized Enterprises (SMEs), using Standard Industrial Classification (SIC) codes and annual turnover data. The 'carbonpredict' package provides single and batch prediction, plotting, and workflow tools for carbon accounting and reporting. The package utilises pre-trained models, leveraging rich classified transaction data to accurately predict Scope 1, 2 and 3 carbon emissions for UK SMEs as well as identifying emissions hotspots. The methodology used to produce the estimates in this package is fully detailed in the following peer-reviewed publication in the Journal of Industrial Ecology: Phillpotts, A., Owen. A., Norman, J., Trendl, A., Gathergood, J., Jobst, Norbert., Leake, D. (2025) <doi:10.1111/jiec.70106> "Bridging the SME Reporting Gap: A New Model for Predicting Scope 1 and 2 Emissions".
License: MIT + file LICENSE
URL: https://github.com/david-leake/carbonpredict
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, progress, lmerTest, networkD3, htmltools, htmlwidgets
Suggests: testthat (>= 3.0.0), mockery, png, grid
NeedsCompilation: no
Packaged: 2025-10-08 16:51:03 UTC; Hamza
Author: Hamza Suleman [aut, cre, cph], Alec Phillpotts [ctb, aut], David Leake [ctb, aut]
Maintainer: Hamza Suleman <Hamza.Suleman@lloydsbanking.com>
Repository: CRAN
Date/Publication: 2025-10-14 18:00:12 UTC

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Fri, 10 Oct 2025

New package WeibullModiAMR with initial version 0.1.0
Package: WeibullModiAMR
Title: Fit Modified Weibull-Type Distributions
Version: 0.1.0
Description: Provides maximum likelihood estimation methods for eight modified Weibull-type distributions. It returns parameter estimates, log-likelihood, AIC, and BIC, and also supports model fitting, validation, and comparison across different distributional forms. These methods can be applied to reliability, survival, and lifetime data analysis, making the package useful for researchers and practitioners in statistics, engineering, and medicine. The following distributions are included: Rangoli2023, Peng2014, Lai2003, Xie1996, Sarhan2009, Rangoli2025, Mustafa2012, and Alwasel2009.
License: GPL-3
Encoding: UTF-8
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-08 06:28:36 UTC; Reneuit
Author: Dr Ajaykumar Rangoli [aut, cre]
Maintainer: Dr Ajaykumar Rangoli <drajaykumarmr1008@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-10 20:10:02 UTC

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New package qol with initial version 1.0.1
Package: qol
Title: Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs
Version: 1.0.1
Description: The main goal is to make descriptive evaluations easier to create bigger and more complex outputs in less time with less code. Introducing format containers with multilabels <https:[https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p06ciqes4eaqo6n0zyqtz9p21nfb.htm]>, a more powerful summarise which is capable to output every possible combination of the provided grouping variables in one go <https:[https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p0jvbbqkt0gs2cn1lo4zndbqs1pe.htm]>, tabulation functions which can create any table in different styles <https:[https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/n1ql5xnu0k3kdtn11gwa5hc7u435.htm]> and other more readable functions. The code is optimized to work fast even with datasets of over a million observations.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/s3rdia/qol
Imports: data.table (>= 1.17.8), collapse (>= 2.1.2), openxlsx2 (>= 1.19)
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-01 13:39:46 UTC; simonsemrau
Author: Tim Siebenmorgen [aut, cre, cph]
Maintainer: Tim Siebenmorgen <qol_package@proton.me>
Repository: CRAN
Date/Publication: 2025-10-10 20:00:02 UTC

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New package easyRef with initial version 0.1.0
Package: easyRef
Title: Easy Reference Generation for R Packages
Version: 0.1.0
Author: Rasmus Rydbirk [aut, cre]
Maintainer: Rasmus Rydbirk <rrydbirk@outlook.dk>
Description: Generate citations and references for R packages from CRAN or Bioconductor. Supports RIS and BibTeX formats with automatic DOI retrieval from GitHub repositories and published papers. Includes command-line interface for batch processing.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/rrydbirk/easyRef
BugReports: https://github.com/rrydbirk/easyRef/issues
Depends: R (>= 3.5.0)
Imports: utils, xml2, rvest
Suggests: BiocManager, stringr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-07 08:13:44 UTC; ucloud
Repository: CRAN
Date/Publication: 2025-10-10 19:30:02 UTC

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New package apathe with initial version 0.1.0
Package: apathe
Title: American Psychological Association Thesis Templates for R Markdown
Version: 0.1.0
Date: 2025-09-26
Description: Facilitates writing computationally reproducible student theses in PDF format that conform to the American Psychological Association (APA) manuscript guidelines (6th Edition). The package currently provides two R Markdown templates for homework and theses at the Psychology Department of the University of Cologne. The package builds on the package 'papaja' but is tailored to the requirements of student theses and omits features for simplicity.
URL: https://github.com/crsh/apathe
BugReports: https://github.com/crsh/apathe/issues
Imports: papaja (>= 0.1.3), bookdown, rmdfiltr (>= 0.1.5), rmarkdown, assertthat
Suggests: stringr, bibtex (>= 0.5.1), testthat (>= 3.0.0)
SystemRequirements: Rendering the document template requires pandoc (>= 2.0; https://pandoc.org) and for PDFs a TeX distribution, such as TinyTeX (>= 0.12; https://yihui.org/tinytex/)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-07 09:00:33 UTC; frederikaust
Author: Frederik Aust [aut, cre]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>
Repository: CRAN
Date/Publication: 2025-10-10 19:40:02 UTC

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Thu, 09 Oct 2025

New package tseffects with initial version 0.1.4
Package: tseffects
Title: Dynamic (Causal) Inferences from Time Series (with Interactions)
Version: 0.1.4
Maintainer: Soren Jordan <sorenjordanpols@gmail.com>
Description: Autoregressive distributed lag (A[R]DL) models (and their reparameterized equivalent, the Generalized Error-Correction Model [GECM]) (see De Boef and Keele 2008 <doi:10.1111/j.1540-5907.2007.00307.x>) are the workhorse models in uncovering dynamic inferences. ADL models are simple to estimate; this is what makes them attractive. Once these models are estimated, what is less clear is how to uncover a rich set of dynamic inferences from these models. We provide tools for recovering those inferences in three forms: causal inferences from ADL models, traditional time series quantities of interest (short- and long-run effects), and dynamic conditional relationships.
URL: https://sorenjordan.github.io/tseffects/, https://github.com/sorenjordan/tseffects
BugReports: https://github.com/sorenjordan/tseffects/issues
Imports: mpoly, car, ggplot2, sandwich, stats, utils
Suggests: knitr, rmarkdown, vdiffr, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
BuildManual: yes
NeedsCompilation: no
Packaged: 2025-10-06 14:16:05 UTC; sorenjordan
Author: Soren Jordan [aut, cre, cph] , Garrett N. Vande Kamp [aut], Reshi Rajan [aut]
Repository: CRAN
Date/Publication: 2025-10-09 12:10:02 UTC

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New package shinymrp with initial version 0.9.0
Package: shinymrp
Title: Interface for Multilevel Regression and Poststratification
Version: 0.9.0
Author: Toan Tran [cre, aut, cph], Jonah Gabry [aut, cph], Yajuan Si [aut, cph]
Maintainer: Toan Tran <trannttoan97@gmail.com>
Description: Dual interfaces, graphical and programmatic, designed for intuitive applications of Multilevel Regression and Poststratification (MRP). Users can apply the method to a variety of datasets, from electronic health records to sample survey data, through an end-to-end Bayesian data analysis workflow. The package provides robust tools for data cleaning, exploratory analysis, flexible model building, and insightful result visualization. For more details, see Si et al. (2020) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2020002/article/00003-eng.pdf?st=iF1_Fbrh> and Si (2025) <doi:10.1214/24-STS932>.
License: MIT + file LICENSE
URL: https://mrp-interface.github.io/shinymrp/
BugReports: https://github.com/mrp-interface/shinymrp/issues
Depends: R (>= 3.6.0)
Imports: bsicons, bslib, checkmate, config (>= 0.3.2), dplyr, DT, ggplot2, golem (>= 0.4.1), highcharter, htmlwidgets, httr2, loo, lubridate, magrittr, patchwork, posterior, purrr, qs, R6, RColorBrewer, readr, rlang, scales, shiny (>= 1.8.0), shinyjs, shinyWidgets, stringr, tidyr, waiter
Suggests: cmdstanr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Additional_repositories: https://stan-dev.r-universe.dev/
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-06 19:09:16 UTC; tntoan
Repository: CRAN
Date/Publication: 2025-10-09 12:20:09 UTC

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New package kardl with initial version 0.1.1
Package: kardl
Title: Make Symmetric and Asymmetric ARDL Estimations
Version: 0.1.1
Maintainer: Huseyin Karamelikli <hakperest@gmail.com>
Description: Implements estimation procedures for Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both short- and long-run relationships in time series data under mixed orders of integration. The package supports simultaneous modeling of symmetric and asymmetric regressors, flexible treatment of short-run and long-run asymmetries, and automated equation handling. It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F and t bounds tests, the Banerjee error correction test, and the restricted ECM test, together with diagnostic tools including Wald tests for asymmetry, ARCH tests, and stability procedures (CUSUM and CUSUMQ). Methodological foundations are provided in Pesaran, Shin, and Smith (2001) <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, msm, lmtest, nlWaldTest, car, utils
Suggests: knitr, rmarkdown, officer, flextable, equatags, magrittr, rlang, ggplot2, tidyr, dplyr, testthat (>= 3.0.0)
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2025-10-06 12:27:43 UTC; huseyin
Author: Huseyin Karamelikli [aut, cre] , Huseyin Utku Demir [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-09 12:10:11 UTC

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New package ItemRest with initial version 0.2.3
Package: ItemRest
Title: Automated Item Removal Strategies for Exploratory Factor Analysis
Version: 0.2.3
Description: Automates the identification and comparative evaluation of item-removal strategies in exploratory factor analysis, producing transparent summaries (explained variance, loading ranges, reliability) to support comfortable, reproducible decisions. The criteria are based on best practices and established heuristics (e.g., Costello & Osborne (2005) <doi:10.7275/jyj1-4868>, Howard (2016) <doi:10.1080/10447318.2015.1087664>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: gtools, psych, qgraph, stats, utils
URL: https://github.com/ahmetcaliskan1987/ItemRest
BugReports: https://github.com/ahmetcaliskan1987/ItemRest/issues
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-06 14:02:37 UTC; ahmetcaliskan
Author: Ahmet Caliskan [aut, cre], Abdullah Faruk Kilic [aut]
Maintainer: Ahmet Caliskan <ahmetcaliskan1987@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-09 12:10:17 UTC

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New package BioMonTools with initial version 1.2.4
Package: BioMonTools
Title: Biomonitoring and Bioassessment Calculations
Version: 1.2.4
Maintainer: Erik W. Leppo <Erik.Leppo@tetratech.com>
Description: An aid for manipulating data associated with biomonitoring and bioassessment. Calculations include metric calculation, marking of excluded taxa, subsampling, and multimetric index calculation. Targeted communities are benthic macroinvertebrates, fish, periphyton, and coral. As described in the Revised Rapid Bioassessment Protocols (Barbour et al. 1999) <https://archive.epa.gov/water/archive/web/html/index-14.html>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: dplyr, maps, rlang, stats, tidyselect, tidyr
Suggests: DataExplorer, DT, ggplot2, knitr, lazyeval, readxl, reshape2, rmarkdown, testthat, shiny, shinydashboard, shinydashboardPlus, shinyjs, shinyWidgets, utils, writexl, shinyalert
URL: https://github.com/leppott/BioMonTools
BugReports: https://github.com/leppott/BioMonTools/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-06 18:17:29 UTC; Erik.Leppo
Author: Erik W. Leppo [aut, cre] , Jen Stamp [ctb], John van Sickles [ctb], Ben Block [ctb]
Repository: CRAN
Date/Publication: 2025-10-09 12:40:02 UTC

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New package psme with initial version 1.0.0
Package: psme
Version: 1.0.0
Date: 2025-10-06
Title: Penalized Splines Mixed-Effects Models
Maintainer: Zheyuan Li <zheyuan.li@bath.edu>
Depends: R (>= 4.0.0)
Imports: stats, Matrix, methods, mgcv, lme4
Description: Fit penalized splines mixed-effects models (a special case of additive models) for large longitudinal datasets. The package includes a psme() function that (1) relies on package 'mgcv' for constructing population and subject smooth functions as penalized splines, (2) transforms the constructed additive model to a linear mixed-effects model, (3) exploits package 'lme4' for model estimation and (4) backtransforms the estimated linear mixed-effects model to the additive model for interpretation and visualization. See Pedersen et al. (2019) <doi:10.7717/peerj.6876> and Bates et al. (2015) <doi:10.18637/jss.v067.i01> for an introduction. Unlike the gamm() function in 'mgcv', the psme() function is fast and memory-efficient, able to handle datasets with millions of observations.
License: GPL-3
NeedsCompilation: no
URL: https://github.com/ZheyuanLi/psme
Packaged: 2025-10-06 11:38:57 UTC; lzy
Author: Zheyuan Li [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-09 12:00:06 UTC

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New package CaMeA with initial version 0.1.0
Package: CaMeA
Title: Causal Meta-Analysis for Aggregated Data
Version: 0.1.0
Maintainer: Clement Berenfeld <clement.berenfeld@inria.fr>
Description: A tool for causal meta-analysis. This package implements the aggregation formulas and inference methods proposed in Berenfeld et al. (2025) <doi:10.48550/arXiv.2505.20168>. Users can input aggregated data across multiple studies and compute causally meaningful aggregated effects of their choice (risk difference, risk ratio, odds ratio, etc) under user-specified population weighting. The built-in function camea() allows to obtain precise variance estimates for these effects and to compare the latter to a classical meta-analysis aggregate, the random effect model, as implemented in the 'metafor' package <https://CRAN.R-project.org/package=metafor>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, metafor, tibble, dplyr
Suggests: knitr, rmarkdown, kableExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-06 11:50:30 UTC; berenfeld
Author: Clement Berenfeld [ctb, cre], Ahmed Boughdiri [ctb], Charif El Gataa [aut], Julie Josse [ctb]
Repository: CRAN
Date/Publication: 2025-10-09 12:00:10 UTC

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New package PERSUADE with initial version 0.1.2
Package: PERSUADE
Title: Parametric Survival Model Selection for Decision-Analytic Models
Version: 0.1.2
Description: Provides a standardized framework to support the selection and evaluation of parametric survival models for time-to-event data. Includes tools for visualizing survival data, checking proportional hazards assumptions (Grambsch and Therneau, 1994, <doi:10.1093/biomet/81.3.515>), comparing parametric (Ishak and colleagues, 2013, <doi:10.1007/s40273-013-0064-3>), spline (Royston and Parmar, 2002, <doi:10.1002/sim.1203>) and cure models, examining hazard functions, and evaluating model extrapolation. Methods are consistent with recommendations in the NICE Decision Support Unit Technical Support Documents (14 and 21 <https://sheffield.ac.uk/nice-dsu/tsds/survival-analysis>). Results are structured to facilitate integration into decision-analytic models, and reports can be generated with 'rmarkdown'. The package builds on existing tools including 'flexsurv' (Jackson, 2016, <doi:10.18637/jss.v070.i08>)) and 'flexsurvcure' for estimating cure models.
License: GPL (>= 3)
URL: https://github.com/Bram-R/PERSUADE
BugReports: https://github.com/Bram-R/PERSUADE/issues
Depends: R (>= 4.1.0)
Imports: data.table, flexsurv, flexsurvcure, ggplot2, muhaz, rmarkdown, rms, sft, stats, survival, survminer
Suggests: kableExtra, knitr, testthat (>= 3.1.2), utils
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-06 09:47:00 UTC; G10028783
Author: Bram Ramaekers [aut, cre, ths] , Xavier Pouwels [ctb] , Sabine Grimm [ths] , Manuela Joore [ths]
Maintainer: Bram Ramaekers <bram.ramaekers@mumc.nl>
Repository: CRAN
Date/Publication: 2025-10-09 08:10:03 UTC

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New package geoflow with initial version 1.0.0
Package: geoflow
Version: 1.0.0
Date: 2025-10-08
Title: Orchestrate Geospatial (Meta)Data Management Workflows and Manage FAIR Services
Description: An engine to facilitate the orchestration and execution of metadata-driven data management workflows, in compliance with 'FAIR' (Findable, Accessible, Interoperable and Reusable) data management principles. By means of a pivot metadata model, relying on the 'DublinCore' standard (<https://dublincore.org/>), a unique source of metadata can be used to operate multiple and inter-connected data management actions. Users can also customise their own workflows by creating specific actions but the library comes with a set of native actions targeting common geographic information and data management, in particular actions oriented to the publication on the web of metadata and data resources to provide standard discovery and access services. At first, default actions of the library were meant to focus on providing turn-key actions for geospatial (meta)data: 1) by creating manage geospatial (meta)data complying with 'ISO/TC211' (<https://committee.iso.org/home/tc211>) and 'OGC' (< [...truncated...]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Depends: R (>= 3.3)
Imports: R6, methods, dotenv, benchmarkme, httr, mime, jsonlite, yaml, XML, xml2, rdflib, curl, whisker, mime, digest, dplyr, readr, arrow, zip, png, uuid, sf, sfarrow, terra, geometa (>= 0.9), geosapi, geonapi, geonode4R, ows4R
Suggests: testthat, readxl, gsheet, googledrive, DBI, rapiclient, RMariaDB, RPostgres, RPostgreSQL, RSQLite, ncdf4, thredds, EML, emld, datapack, dataone, rgbif, ocs4R, zen4R, atom4R, d4storagehub4R, rmarkdown, dataverse, blastula, waldo
License: MIT + file LICENSE
URL: https://github.com/r-geoflow/geoflow
BugReports: https://github.com/r-geoflow/geoflow/issues
LazyLoad: yes
NeedsCompilation: no
Packaged: 2025-10-08 20:09:51 UTC; emman
Author: Emmanuel Blondel [aut, cre, cph] , Julien, Barde [aut] , Wilfried Heintz [aut] , Alexandre Bennici [ctb], Sylvain Poulain [ctb], Bastien Grasset [ctb], Mathias Rouan [ctb], Emilie Lerigoleur [ctb], Yvan Le Bras [ctb], Jeroen Ooms [ctb]
Repository: CRAN
Date/Publication: 2025-10-09 08:50:09 UTC

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New package PKPDindex with initial version 0.2.0
Package: PKPDindex
Title: Optimal PK/PD Index Finder
Version: 0.2.0
Description: Fits Emax models to pharmacokinetic/pharmacodynamic (PK/PD) data, estimate key parameters, and visualise model fits for multiple PK/PD indices. Methods are described in Macdougall J (2006) <doi:10.1007/0-387-33706-7_9>, Spiess AN, Neumeyer N (2010) <doi:10.1186/1471-2210-10-6>, and Burnham KP, Anderson DR (2004) <doi:10.1177/0049124104268644>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-06 00:31:58 UTC; najla
Author: Najla Alabdulkarim [aut, cre], Joseph F Standing [aut]
Maintainer: Najla Alabdulkarim <naaalabdulkarim@hotmail.com>
Repository: CRAN
Date/Publication: 2025-10-09 07:40:07 UTC

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New package logolink with initial version 0.1.0
Package: logolink
Title: An Interface for Running 'NetLogo' Simulations
Version: 0.1.0
Description: An interface for 'NetLogo' <https://www.netlogo.org> that enables programmatic setup and execution of simulations. Designed to facilitate integrating 'NetLogo' models into reproducible workflows by creating and running 'BehaviorSpace' experiments and retrieving their results.
License: GPL (>= 3)
URL: https://danielvartan.github.io/logolink/, https://github.com/danielvartan/logolink/
BugReports: https://github.com/danielvartan/logolink/issues/
Depends: R (>= 4.4)
Imports: checkmate (>= 2.3.3), cli (>= 3.6.5), dplyr (>= 1.1.4), fs (>= 1.6.6), glue (>= 1.8.0), janitor (>= 2.2.1), magrittr (>= 2.0.4), purrr (>= 1.1.0), readr (>= 2.1.5), stringr (>= 1.5.2), xml2 (>= 1.4.0)
Suggests: bslib (>= 0.9.0), covr (>= 3.6.4), knitr (>= 1.50), spelling (>= 2.3.2), testthat (>= 3.2.3), tibble (>= 3.3.0),
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-06 07:35:27 UTC; danielvartan
Author: Daniel Vartanian [aut, cre, ccp, cph]
Maintainer: Daniel Vartanian <danielvartan@proton.me>
Repository: CRAN
Date/Publication: 2025-10-09 08:00:02 UTC

More information about logolink at CRAN
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New package graphonmix with initial version 0.0.1.0
Package: graphonmix
Title: Generates Mixture Graphs from Dense and Sparse Graphons
Version: 0.0.1.0
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>
Description: Generates (U,W) mixture graphs where U is a line graph graphon and W is a dense graphon. Graphons are graph limits and graphon U can be written as sequence of positive numbers adding to 1. Graphs are sampled from U and W and joined randomly to obtain the mixture graph. Given a mixture graph, U can be inferred. Kandanaarachchi and Ong (2025) <doi:10.48550/arXiv.2505.13864>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, igraph, imager, stats
Suggests: gridExtra, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://sevvandi.github.io/graphonmix/
NeedsCompilation: no
Packaged: 2025-10-05 22:38:34 UTC; kan092
Author: Sevvandi Kandanaarachchi [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-09 07:40:02 UTC

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New package CopernicusClimate with initial version 0.0.2
Package: CopernicusClimate
Title: Search Download and Handle Data from Copernicus Climate Data Service
Version: 0.0.2
Description: Subset and download data from EU Copernicus Climate Data Service: <https://cds.climate.copernicus.eu/>. Import information about the Earth's past, present and future climate from Copernicus into R without the need of external software.
Depends: R (>= 4.1.0)
Imports: dplyr, httr2, jsonlite, methods, purrr, rlang, stringr, tibble, tidyr
Suggests: ggplot2, knitr, RefManageR, rmarkdown, stars, testthat (>= 3.0.0)
License: GPL (>= 3)
Encoding: UTF-8
URL: https://pepijn-devries.github.io/CopernicusClimate/, https://github.com/pepijn-devries/CopernicusClimate/
BugReports: https://github.com/pepijn-devries/CopernicusMarine/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-05 15:45:23 UTC; vries171
Author: Pepijn de Vries [aut, cre]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Repository: CRAN
Date/Publication: 2025-10-09 07:40:12 UTC

More information about CopernicusClimate at CRAN
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New package choicedata with initial version 0.1.0
Package: choicedata
Title: Working with Choice Data
Version: 0.1.0
Description: Offers a set of objects tailored to simplify working with choice data. It enables the computation of choice probabilities and the likelihood of various types of choice models based on given data.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/loelschlaeger/choicedata, http://loelschlaeger.de/choicedata/
BugReports: https://github.com/loelschlaeger/choicedata/issues
Suggests: mlogit, rmarkdown, testthat (>= 3.0.0)
Imports: checkmate, cli, dplyr, Formula, ggplot2, Matrix, mvtnorm, optimizeR, oeli (>= 0.7.5), patchwork, Rdpack, rlang, tibble, tidyr, utils
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-10-06 08:08:22 UTC; Lennart Oelschläger
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-09 08:00:08 UTC

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Wed, 08 Oct 2025

New package VBMS with initial version 1.0.0
Package: VBMS
Title: Variational Bayesian Algorithm for Multi-Source Heterogeneous Models
Version: 1.0.0
Description: A Variational Bayesian algorithm for high-dimensional multi-source heterogeneous linear models. More details have been written up in a paper submitted to the journal Statistics in Medicine, and the details of variational Bayesian methods can be found in Ray and Szabo (2021) <doi:10.1080/01621459.2020.1847121>. It simultaneously performs parameter estimation and variable selection. The algorithm supports two model settings: (1) local models, where variable selection is only applied to homogeneous coefficients, and (2) global models, where variable selection is also performed on heterogeneous coefficients. Two forms of Spike-and-Slab priors are available: the Laplace distribution and the Gaussian distribution as the Slab component.
License: MIT + file LICENSE
Imports: pracma, selectiveInference, MASS
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-04 02:34:22 UTC; 11877
Author: Lu Luo [aut, cre], Huiqiong Li [aut]
Maintainer: Lu Luo <luolu@stu.ynu.edu.cn>
Repository: CRAN
Date/Publication: 2025-10-08 19:40:13 UTC

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New package unexcel with initial version 0.1.0
Package: unexcel
Title: Revert Excel Serial Dates Back to Intended Day.Month Numerics
Version: 0.1.0
Description: Detects values imported from spreadsheets that were auto-converted to Excel date serials and reconstructs the originally intended day.month decimals (for example, '30.3' that Excel displayed as '30/03/2025'). The functions work in a vectorized manner, preserve non-serial values, and support both the 1900 and 1904 date systems.
License: MIT + file LICENSE
Depends: R (>= 3.6)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/drhrf/unexcel
BugReports: https://github.com/drhrf/unexcel/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-04 16:06:48 UTC; freitashr
Author: Hercules Freitas [aut, cre]
Maintainer: Hercules Freitas <hercules.freitas@uerj.br>
Repository: CRAN
Date/Publication: 2025-10-08 19:50:03 UTC

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New package TPDDev with initial version 1.0.0
Package: TPDDev
Title: Tool for Construction of Two-Phase Experimental Designs
Version: 1.0.0
Maintainer: Akhilesh Jha <jha.akhilesh09@gmail.com>
Description: Provides functions to construct two-phase design layouts, compute treatment- and block-incidence matrices, derive C-matrices for residual, direct, and interaction effects, and calculate the efficiency factor for two-phase experimental designs with factorial treatment structure.
License: GPL-3
Encoding: UTF-8
Imports: MASS, Matrix
Depends: R (>= 4.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-03 20:20:37 UTC; Akhilesh Jha
Author: Akhilesh Jha [aut, cre], Cini Varghese [aut], Seema Jaggi [aut], Eldho Varghese [aut], Mohd Harun [aut]
Repository: CRAN
Date/Publication: 2025-10-08 19:40:17 UTC

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New package skytrackr with initial version 1.0
Package: skytrackr
Title: A Sky Illuminance Location Tracker
Version: 1.0
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>
Description: Calculate geolocations by light using template matching. The routine uses a calibration free optimization of a sky illuminance model to determine locations robustly using a template matching approach, as described by Ekstrom (2004) <https://nipr.repo.nii.ac.jp/records/2496>, and behaviourly informed constraints (step-selection).
URL: https://github.com/bluegreen-labs/skytrackr
BugReports: https://github.com/bluegreen-labs/skytrackr/issues
Depends: R (>= 4.2)
License: AGPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
Imports: skylight, circular, BayesianTools, cli, utils, memoise, stats, rlang, sf, terra, geosphere, tidyr, dplyr, ggplot2, plotly, patchwork, mapview
Suggests: knitr, rmarkdown, bookdown, covr, testthat, multidplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-04 17:34:31 UTC; khufkens
Author: Koen Hufkens [aut, cre] , BlueGreen Labs [cph, fnd]
Repository: CRAN
Date/Publication: 2025-10-08 19:50:08 UTC

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New package pipetime with initial version 0.0.1
Package: pipetime
Title: Tools to Time Pipe Operations
Version: 0.0.1
Description: Enable users to measure and record the execution time of pipe operations (using |>) with optional logging to dataframes and output to the console.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), crayon, dplyr, ggplot2, stringr, tictoc, knitr, rmarkdown
URL: https://cygei.github.io/pipetime/; https://github.com/CyGei/pipetime
BugReports: https://github.com/CyGei/pipetime/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-29 19:13:44 UTC; cy
Author: Cyril Geismar [aut, cre, cph]
Maintainer: Cyril Geismar <c.geismar21@imperial.ac.uk>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-10-08 19:50:14 UTC

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New package MLSP with initial version 0.1.0
Package: MLSP
Title: Machine Learning Models for Soil Properties
Version: 0.1.0
Description: Creates a spectroscopy guideline with a highly accurate prediction model for soil properties using machine learning or deep learning algorithms such as LASSO, Random Forest, Cubist, etc., and decide which algorithm generates the best model for different soil types.
License: GPL-2
Encoding: UTF-8
Imports: gsignal, pls, glmnet, Cubist, randomForest
NeedsCompilation: no
Packaged: 2025-10-03 19:01:09 UTC; pch276
Author: Pengyuan Chen [aut, cre], Christopher Clingensmith [aut], Chenglong Ye [aut], Sabine Grunwald [aut], Katsutoshi Mizuta [aut]
Maintainer: Pengyuan Chen <pch276@uky.edu>
Repository: CRAN
Date/Publication: 2025-10-08 19:40:21 UTC

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New package FuzzySpec with initial version 1.0.0
Package: FuzzySpec
Title: Fuzzy Spectral Clustering with Variable-Weighted Adjacency Matrices
Version: 1.0.0
Date: 2025-09-23
Author: Jesse S. Ghashti [aut, cre], John R.J. Thompson [aut]
Maintainer: Jesse S. Ghashti <jesse.ghashti@ubc.ca>
Description: Implementation of the FVIBES, the Fuzzy Variable-Importance Based Eigenspace Separation algorithm as described in the paper by Ghashti, J.S., Hare, W., and J.R.J. Thompson (2025). Variable-Weighted Adjacency Constructions for Fuzzy Spectral Clustering. Submitted.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, Thresher, fclust, mclust, mvtnorm, np, ggplot2, viridisLite
Suggests: knitr, MASS, rmarkdown, patchwork, devtools, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-05 03:47:22 UTC; jesseghashti
Language: en-US
Repository: CRAN
Date/Publication: 2025-10-08 20:00:03 UTC

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New package SimKid with initial version 1.0.0
Package: SimKid
Title: Simulate Virtual Pediatrics using Anthropometric Growth Charts
Version: 1.0.0
Description: Simulate a virtual population of subjects that has demographic distributions (height, weight, and BMI) and correlations (height and weight), by sex and age, which mimic those reported in real-world anthropometric growth charts (CDC, WHO, or Fenton).
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: dplyr (>= 1.1.4), ggplot2 (>= 3.5.1), magrittr (>= 2.0.3), msm (>= 1.7.1), randomizr (>= 1.0.0), rlang (>= 1.1.4), stats (>= 4.4.1), tidyr (>= 1.3.1), tmvtnorm (>= 1.6), withr (>= 3.0.0)
Suggests: spelling, testthat (>= 3.0.0)
BugReports: https://github.com/Andy00000000000/SimKid/issues
URL: https://github.com/Andy00000000000/SimKid
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-02 17:34:43 UTC; epd
Author: Andrew Santulli [aut, cre], Enhanced Pharmacodynamics LLC [cph, fnd]
Maintainer: Andrew Santulli <asantulli@epd-llc.com>
Repository: CRAN
Date/Publication: 2025-10-08 08:50:12 UTC

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New package Rato with initial version 0.1.0
Package: Rato
Title: Resilience Analysis Toolkit (RATO)
Version: 0.1.0
Author: Victor Chavauty [aut, cre]
Maintainer: Victor Chavauty <lesserfish@pm.me>
Description: Collection of tools for the analysis of the resilience of dynamic networks. Created as a classroom project.
License: GPL-3
Encoding: UTF-8
Imports: deSolve, igraph, utils
Suggests: animation, RColorBrewer
NeedsCompilation: no
Packaged: 2025-10-02 06:47:47 UTC; lesserfish
Repository: CRAN
Date/Publication: 2025-10-08 08:40:13 UTC

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New package PVBcorrect with initial version 0.3.1
Package: PVBcorrect
Title: Partial Verification Bias Correction for Diagnostic Accuracy
Version: 0.3.1
Maintainer: Wan Nor Arifin <wnarifin@gmail.com>
URL: https://github.com/wnarifin/PVBcorrect/
Description: Performs partial verification bias (PVB) correction for binary diagnostic tests, where PVB arises from selective patient verification in diagnostic accuracy studies. Supports correction of important accuracy measures -- sensitivity, specificity, positive predictive values and negative predictive value -- under missing-at-random and missing-not-at-random missing data mechanisms. Available methods and references are "Begg and Greenes' methods" in Alonzo & Pepe (2005) <doi:10.1111/j.1467-9876.2005.00477.x> and deGroot et al. (2011) <doi:10.1016/j.annepidem.2010.10.004>; "Multiple imputation" in Harel & Zhou (2006) <doi:10.1002/sim.2494>, "EM-based logistic regression" in Kosinski & Barnhart (2003) <doi:10.1111/1541-0420.00019>; "Inverse probability weighting" in Alonzo & Pepe (2005) <doi:10.1111/j.1467-9876.2005.00477.x>; "Inverse probability bootstrap sampling" in Nahorniak et al. (2015) <doi:10.1371/journal.pone.0131765> and Arifin &am [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: boot, mice
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-10-02 06:59:45 UTC; wnarifin
Author: Wan Nor Arifin [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-10-08 08:40:18 UTC

More information about PVBcorrect at CRAN
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New package EconCausal with initial version 1.0.2
Package: EconCausal
Title: Causal Analysis for Macroeconomic Time Series (ECM-MARS, BSTS, Bayesian GLM-AR(1))
Version: 1.0.2
Description: Implements three complementary pipelines for causal analysis on macroeconomic time series: (1) Error-Correction Models with Multivariate Adaptive Regression Splines (ECM-MARS), (2) Bayesian Structural Time Series (BSTS), and (3) Bayesian GLM with AR(1) errors validated with Leave-Future-Out (LFO). Heavy backends (Stan) are optional and never used in examples or tests.
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: brms, readxl, dplyr, tidyr, tibble, purrr, bsts, BoomSpikeSlab, tseries, urca, vars, progressr, future.apply, rlang, magrittr, parallel, stats, utils
Suggests: knitr, cmdstanr, rstan, future, RhpcBLASctl, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/IsadoreNabi/EconCausal
BugReports: https://github.com/IsadoreNabi/EconCausal/issues
Additional_repositories: https://stan-dev.r-universe.dev
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-01 21:20:48 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-10-08 08:40:24 UTC

More information about EconCausal at CRAN
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Tue, 07 Oct 2025

New package RTMBdist with initial version 0.1.0
Package: RTMBdist
Title: Distributions Compatible with Automatic Differentiation by 'RTMB'
Version: 0.1.0
Description: Extends the functionality of the 'RTMB' <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While 'RTMB' enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using 'RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, gamlss.dist, circular, sn, statmod, movMF
Depends: R (>= 3.5.0), RTMB (>= 1.7.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), LaMa (>= 2.0.6), Matrix, TMB, gamlss.data, mvtnorm
URL: https://janoleko.github.io/RTMBdist/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-01 08:06:59 UTC; jan-ole
Author: Jan-Ole Koslik [aut, cre]
Maintainer: Jan-Ole Koslik <jan-ole.koslik@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:15 UTC

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New package rixpress with initial version 0.10.0
Package: rixpress
Title: Build Reproducible Analytical Pipelines with 'Nix'
Version: 0.10.0
Description: Streamlines the creation of reproducible analytical pipelines using 'default.nix' expressions generated via the 'rix' package for reproducibility. Define derivations in 'R', 'Python' or 'Julia', chain them into a composition of pure functions and build the resulting pipeline using 'Nix' as the underlying end-to-end build tool. Functions to plot the pipeline as a directed acyclic graph are included, as well as functions to load and inspect intermediary results for interactive analysis. User experience heavily inspired by the 'targets' package.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ropensci/rixpress/, https://docs.ropensci.org/rixpress/
BugReports: https://github.com/ropensci/rixpress/issues/
Depends: R (>= 4.1.0)
Imports: igraph, jsonlite, processx
SystemRequirements: Nix
Language: en-GB
Suggests: dplyr, ggdag, ggplot2, knitr, mockery, reticulate, rix, rmarkdown, testthat (>= 3.0.0), usethis, visNetwork
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-01 08:48:42 UTC; brodrigues
Author: Bruno Rodrigues [aut, cre] , William Michael Landau [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/706>), Anthony Martinez [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>)
Maintainer: Bruno Rodrigues <bruno@brodrigues.co>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:02 UTC

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New package pwranova with initial version 1.0.2
Package: pwranova
Title: Power Analysis of Flexible ANOVA Designs and Related Tests
Version: 1.0.2
Description: Provides functions for conducting power analysis in ANOVA designs, including between-, within-, and mixed-factor designs, with full support for both main effects and interactions. The package allows calculation of statistical power, required total sample size, significance level, and minimal detectable effect sizes expressed as partial eta squared or Cohen's f for ANOVA terms and planned contrasts. In addition, complementary functions are included for common related tests such as t-tests and correlation tests, making the package a convenient toolkit for power analysis in experimental psychology and related fields.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/mutopsy/pwranova, https://mutopsy.github.io/pwranova/
BugReports: https://github.com/mutopsy/pwranova/issues
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-01 04:59:07 UTC; owner
Author: Hiroyuki Muto [aut, cre]
Maintainer: Hiroyuki Muto <mutopsy@omu.ac.jp>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:09 UTC

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New package Latamverse with initial version 0.1.0
Package: Latamverse
Title: Latin American Data via 'RESTful' APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Brings together a comprehensive collection of R packages providing access to API functions and curated datasets from Argentina, Brazil, Chile, Colombia, and Peru. Includes real-time and historical data through public 'RESTful' APIs ('Nager.Date', World Bank API, REST Countries API, and country-specific APIs) and extensive curated collections of open datasets covering economics, demographics, public health, environmental data, political indicators, social metrics, and cultural information. Designed to provide researchers, analysts, educators, and data scientists with centralized access to Latin American data sources, facilitating reproducible research, comparative analysis, and teaching applications focused on these five major Latin American countries. Included packages: - 'ArgentinAPI': API functions and curated datasets for Argentina covering exchange rates, inflation, political figures, national holidays and more. - 'BrazilDataAPI': API functions and curated datasets for Brazil cover [...truncated...]
License: GPL-3
URL: https://github.com/lightbluetitan/latamverse, https://lightbluetitan.github.io/latamverse/
BugReports: https://github.com/lightbluetitan/latamverse/issues
Encoding: UTF-8
Language: en
Depends: R (>= 4.1.0), ArgentinAPI, BrazilDataAPI, ChileDataAPI, ColombiAPI, PeruAPIs
Imports: cli, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-01 14:39:12 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-07 18:40:02 UTC

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New package ActiveLearning4SPM with initial version 0.1.0
Package: ActiveLearning4SPM
Title: Active Learning for Process Monitoring
Version: 0.1.0
Description: Implements the methodology introduced in Capezza, Lepore, and Paynabar (2025) <doi:10.1080/00401706.2025.2561744> for process monitoring with limited labeling resources. The package provides functions to (i) simulate data streams with true latent states and multivariate Gaussian observations as done in the paper, (ii) fit partially hidden Markov models (pHMMs) using a constrained Baum-Welch algorithm with partial labels, and (iii) perform stream-based active learning that balances exploration and exploitation to decide whether to request labels in real time. The methodology is particularly suited for statistical process monitoring in industrial applications where labeling is costly.
Depends: R (>= 4.2)
Imports: Rcpp, Rfast, mvnfast, rrcov, caTools, abind, pROC, stats
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
Encoding: UTF-8
Suggests: covr, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-09-30 12:31:47 UTC; christian.capezza
Author: Christian Capezza [aut, cre], Antonio Lepore [aut], Kamran Paynabar [aut]
Maintainer: Christian Capezza <christian.capezza@unina.it>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:21 UTC

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New package mda.biber with initial version 1.0.1
Package: mda.biber
Title: Functions for Multi-Dimensional Analysis
Version: 1.0.1
Date: 2025-09-22
Description: Multi-Dimensional Analysis (MDA) is an adaptation of factor analysis developed by Douglas Biber (1992) <doi:10.1007/BF00136979>. Its most common use is to describe language as it varies by genre, register, and use. This package contains functions for carrying out the calculations needed to describe and plot MDA results: dimension scores, dimension means, and factor loadings.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, ggpubr, ggrepel, nFactors, stats, tidyr, viridis
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr, corrplot, kableExtra, tidyverse, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 19:51:17 UTC; runner
Author: David Brown [aut, cre] , Alex Reinhart [aut]
Maintainer: David Brown <dwb2@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:02 UTC

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New package GPpenalty with initial version 0.1.0
Package: GPpenalty
Title: Penalized Likelihood in Gaussian Processes
Version: 0.1.0
Description: Implements maximum likelihood estimation for Gaussian processes, supporting both isotropic and separable models with predictive capabilities. Includes penalized likelihood estimation following Li and Sudjianto (2005, <doi:10.1198/004017004000000671>), using score-based metrics that account for uncertainty (See Gneiting and Raftery 2007, <doi:10.1198/016214506000001437>). Includes cross validation techniques for tuning parameter selection. Designed specifically for small datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: Rcpp, doParallel, foreach
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-09-30 21:26:31 UTC; ayumi
Author: Ayumi Mutoh [aut, cre]
Maintainer: Ayumi Mutoh <amutoh@ncsu.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:07 UTC

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New package BTIME with initial version 1.0.0
Package: BTIME
Title: Bayesian Hierarchical Models for Single-Cell Protein Data
Version: 1.0.0
Description: Bayesian Hierarchical beta-binomial models for modeling cell population to predictors/exposures. This package utilizes 'runjags' to run Gibbs sampling with parallel chains. Options for different covariances/relationship structures between parameters of interest.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: coda, runjags, VGAM, matlib
Depends: R (>= 3.5), rjags
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-30 21:02:27 UTC; cjsakitis
Author: Chase Sakitis [aut, cre], Brooke Fridley [aut]
Maintainer: Chase Sakitis <cjsakitis@cmh.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:12 UTC

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Mon, 06 Oct 2025

New package UVdose with initial version 0.1.1
Package: UVdose
Title: Estimate Ambient UV Dose from Location and Date Info
Version: 0.1.1
Description: Estimate ambient vitamin D-effective or erythemal dose using ultraviolet radiation (UV) data from the 'TEMIS' database, based on date and geographical location.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, ncdf4, tidyr, reshape2, lubridate, magrittr, purrr, rlang
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 14:53:19 UTC; rasha
Author: Rasha Shraim [aut, cre] , Lina Zgaga [aut]
Maintainer: Rasha Shraim <rshraim@tcd.ie>
Repository: CRAN
Date/Publication: 2025-10-06 08:40:09 UTC

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New package sulcimap with initial version 1.0.4
Package: sulcimap
Title: Mapping Brain Folding Patterns
Version: 1.0.4
Maintainer: Mahan Shafie <mahan.shafie@unito.it>
Description: Visualizes sulcal morphometry data derived from 'BrainVisa' <https://brainvisa.info/> including width, depth, surface area, and length. The package enables mapping of statistical group results or subject-level values onto cortical surface maps, with options to focus on all sulci or only selected regions of interest. Users can display all four measures simultaneously or restrict plots to chosen measures, creating composite, publication-quality brain visualizations in R to support the analysis and interpretation of sulcal morphology.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: utils, tools, magick, ggplot2, viridisLite, scales, patchwork, cowplot, grid, grDevices
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-30 10:46:05 UTC; mahan
Author: Mahan Shafie [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-06 08:10:02 UTC

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New package SimpleUpset with initial version 0.1.2
Package: SimpleUpset
Title: Create Upset Plots
Version: 0.1.2
Description: Create Upset plots using a combination of 'ggplot2' and 'patchwork'.
URL: https://github.com/smped/SimpleUpset
BugReports: https://github.com/smped/SimpleUpset/issues
License: GPL-3
Encoding: UTF-8
Depends: ggplot2 (>= 4.0.0), patchwork (>= 1.3.2), R (>= 4.1.0),
Imports: dplyr, methods, rlang (>= 1.1.6), S7, scales, tidyr, tidyselect
Suggests: knitr, pander, pkgdown, testthat (>= 3.0.0), tidyverse (>= 2.0.0),
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 13:05:50 UTC; stevie
Author: Stevie Pederson [aut, cre]
Maintainer: Stevie Pederson <stephen.pederson.au@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-06 08:30:24 UTC

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New package optsize with initial version 0.1.0
Package: optsize
Title: Optimal Plot Size Estimation for Field Experiments
Version: 0.1.0
Description: Provides methods for determining optimum plot size and shape in field experiments using Fairfield-Smith's variance law approach. It will evaluate field variability, determine optimum plot size and shape and study fertility trends across the field.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 12:33:47 UTC; lenovo
Author: Y.A. Garde [aut, cre, cph] , S.G. Patil [aut], M.S. Shitap [aut]
Maintainer: Y.A. Garde <y.garde@yahoo.co.in>
Repository: CRAN
Date/Publication: 2025-10-06 08:30:02 UTC

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New package normref with initial version 0.0.0.1
Package: normref
Title: Continuous Norming
Version: 0.0.0.1
Description: A toolbox for calculating continuous norms for psychological tests, where the norms can be age-dependent. The norms are based Generalized Additive Models for Location, Scale, and Shape (GAMLSS) for the test scores in the normative sample. The package includes functions for model selection, reliability estimation, and calculating norms, including confidence intervals. For more details, see Timmerman et al. (2021) <doi:10.1037/met0000348>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: gamlss, gamlss.dist, ggplot2, openxlsx2, rlang, Rdpack, stats, utils, withr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), gamlss.tr, future, future.apply
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 14:11:32 UTC; P157735
Author: Klazien de Vries [aut] , Hannah Heister [aut] , Julian Urban [aut] , Lieke Voncken [ctb] , Marieke Timmerman [aut, cre]
Maintainer: Marieke Timmerman <m.e.timmerman@rug.nl>
Repository: CRAN
Date/Publication: 2025-10-06 08:40:02 UTC

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New package nilsier with initial version 0.1.1
Package: nilsier
Title: Design-Based Estimators for NILS
Version: 0.1.1
Description: Estimators and variance estimators tailored to the NILS hierarchical design (Adler et al. 2020, <https://res.slu.se/id/publ/105630>; Grafström et al. 2023, <https://res.slu.se/id/publ/128235>). The National Inventories of Landscapes in Sweden (NILS) is a long-term national monitoring program that collects, analyses and presents data on Swedish nature, covering both common and rare habitats <https://www.slu.se/om-slu/organisation/institutioner/skoglig-resurshushallning/miljoanalys/nils/>.
License: AGPL-3
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2)
Imports: Rcpp (>= 1.0.14)
LinkingTo: Rcpp
URL: https://github.com/envisim/nilsier/
NeedsCompilation: yes
LazyData: true
Packaged: 2025-09-30 07:39:33 UTC; wpmg
Author: Wilmer Prentius [aut, cre]
Maintainer: Wilmer Prentius <wilmer.prentius@slu.se>
Repository: CRAN
Date/Publication: 2025-10-06 08:10:07 UTC

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New package hyreg2 with initial version 1.0.0
Package: hyreg2
Title: Estimate Latent Classes on a Mixture of Continuous and Dichotomous Data
Version: 1.0.0
Description: EQ-5D value set estimation can be done using the hybrid model likelihood as described by Oppe and van Hout (2010) <doi:10.1002/hec.3560> and Ramos-Goñi et al. (2017) <doi:10.1097/MLR.0000000000000283 >. The package is based on `flexmix()` and among others contains an M-step-driver as described by Leisch (2004) <doi:10.18637/jss.v011.i08>. Users can estimate latent classes and address preference heterogeneity. Both uncensored and censored data are supported. Furthermore, heteroscedasticity can be taken into account. It is possible to control for different covariates on the continuous and dichotomous parts of the data and start values can differ between the expected latent classes.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: flexmix, bbmle, ggplot2, methods, stats, utils
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-09-30 10:46:26 UTC; selkenkamp
Author: Svenja Elkenkamp [aut, cre], Kim Rand [aut], John Grosser [aut], EuroQol [fnd]
Maintainer: Svenja Elkenkamp <svenja.elkenkamp@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2025-10-06 08:30:18 UTC

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New package FakeDataR with initial version 0.2.2
Package: FakeDataR
Title: Privacy-Preserving Synthetic Data for 'LLM' Workflows
Version: 0.2.2
Description: Generate privacy-preserving synthetic datasets that mirror structure, types, factor levels, and missingness; export bundles for 'LLM' workflows (data plus 'JSON' schema and guidance); and build fake data directly from 'SQL' database tables without reading real rows. Methods are related to approaches in Nowok, Raab and Dibben (2016) <doi:10.32614/RJ-2016-019> and the foundation-model overview by Bommasani et al. (2021) <doi:10.48550/arXiv.2108.07258>.
License: MIT + file LICENSE
URL: https://zobaer09.github.io/FakeDataR/, https://github.com/zobaer09/FakeDataR
BugReports: https://github.com/zobaer09/FakeDataR/issues
Encoding: UTF-8
Imports: dplyr, jsonlite, zip
Suggests: readr, testthat (>= 3.0.0), knitr, rmarkdown, DBI, RSQLite, tibble, nycflights13, palmerpenguins, gapminder, arrow, withr
VignetteBuilder: knitr, rmarkdown
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-30 03:48:13 UTC; Zobaer Ahmed
Author: Zobaer Ahmed [aut, cre]
Maintainer: Zobaer Ahmed <zunnun09@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-06 08:10:19 UTC

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New package conformalForecast with initial version 0.1.0
Package: conformalForecast
Title: Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting
Version: 0.1.0
Description: Methods and tools for performing multistep-ahead time series forecasting using conformal prediction methods including classical conformal prediction, adaptive conformal prediction, conformal PID (Proportional-Integral-Derivative) control, and autocorrelated multistep-ahead conformal prediction. The methods were described by Wang and Hyndman (2024) <doi:10.48550/arXiv.2410.13115>.
License: GPL-3
URL: https://github.com/xqnwang/conformalForecast, https://xqnwang.github.io/conformalForecast/
BugReports: https://github.com/xqnwang/conformalForecast/issues
Imports: forecast, ggdist, rlang, stats, zoo
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tibble, tsibble
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-09-30 08:45:07 UTC; xiaoqianwang
Author: Xiaoqian Wang [aut, cre, cph] , Rob Hyndman [aut]
Maintainer: Xiaoqian Wang <Xiaoqian.Wang@amss.ac.cn>
Repository: CRAN
Date/Publication: 2025-10-06 08:10:12 UTC

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New package AlgeriAPIs with initial version 0.1.0
Package: AlgeriAPIs
Title: Access Algerian Data via Public APIs
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'World Bank API' and 'REST Countries API', retrieving real-time or historical information related to Algeria. The package enables users to query economic indicators and international demographic and geopolitical statistics in a reproducible way. It is designed for researchers, analysts, and developers who require reliable and programmatic access to Algerian data through established APIs. For more information on the APIs, see: 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392> and 'REST Countries API' <https://restcountries.com/>.
License: MIT + file LICENSE
Language: en
URL: https://github.com/lightbluetitan/algeriapis, https://lightbluetitan.github.io/algeriapis/
BugReports: https://github.com/lightbluetitan/algeriapis/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr, scales, tibble
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 16:13:11 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-06 08:40:15 UTC

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New package summarytabl with initial version 0.1.0
Package: summarytabl
Title: Generate Summary Tables for Continuous, Ordinal, and Categorical Data
Version: 0.1.0
Maintainer: Ama Nyame-Mensah <ama@anyamemensah.com>
URL: https://anyamemensah.github.io/summarytabl/
Description: Provides functions for tabulating and summarizing continuous, ordinal, and categorical variables in data frames. The package was designed to streamline exploratory data analysis and simplify the creation of summary tables for reports and other purposes.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, purrr, rlang, stats, tibble, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-09-30 02:56:26 UTC; AmaNM
Author: Ama Nyame-Mensah [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-06 08:00:02 UTC

More information about summarytabl at CRAN
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New package RegCalReliab with initial version 0.2.0
Package: RegCalReliab
Title: Regression Calibration Using Reliability Studies
Version: 0.2.0
Maintainer: Bowen Liu <bowenliu@hsph.harvard.edu>
Description: Implements regression calibration methods for correcting measurement error in regression models using external or internal reliability studies. Methods are described in Carroll, Ruppert, Stefanski, and Crainiceanu (2006) "Measurement Error in Nonlinear Models: A Modern Perspective" <doi:10.1201/9781420010138>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, sandwich
Suggests: mgcv, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://lbw080526.github.io/RegCalReliab/, https://github.com/lbw080526/RegCalReliab
BugReports: https://github.com/lbw080526/RegCalReliab/issues
NeedsCompilation: no
Packaged: 2025-09-29 20:44:26 UTC; liubowen
Author: Bowen Liu [aut, cre, cph], Yu Lu [aut], Molin Wang [aut]
Repository: CRAN
Date/Publication: 2025-10-06 08:00:19 UTC

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New package Pinference with initial version 0.2.5
Package: Pinference
Title: Probability Inference for Propositional Logic
Version: 0.2.5
Description: Implementation of T. Hailperin's procedure to calculate lower and upper bounds of the probability for a propositional-logic expression, given equality and inequality constraints on the probabilities for other expressions. Truth-valuation is included as a special case. Applications range from decision-making and probabilistic reasoning, to pedagogical for probability and logic courses. For more details see T. Hailperin (1965) <doi:10.1080/00029890.1965.11970533>, T. Hailperin (1996) "Sentential Probability Logic" ISBN:0-934223-45-9, and package documentation. Requires the 'lpSolve' package.
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: lpSolve
VignetteBuilder: knitr
URL: https://pglpm.github.io/Pinference/, https://github.com/pglpm/Pinference/
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-09-29 20:20:42 UTC; pglpm
Author: PierGianLuca Porta Mana [aut, cre, cph]
Maintainer: PierGianLuca Porta Mana <pgl@portamana.org>
Repository: CRAN
Date/Publication: 2025-10-06 08:00:24 UTC

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New package healthmotionR with initial version 0.1.0
Package: healthmotionR
Title: A Comprehensive Collection of Health and Human Motion Datasets
Version: 0.1.0
Maintainer: Oscar Alejandro Sialer Gallo <alejandro.sialer.gallo@gmail.com>
Description: Provides a broad collection of datasets focused on health, biomechanics, and human motion. It includes clinical, physiological, and kinematic information from diverse sources, covering aspects such as surgery outcomes, vital signs, rheumatoid arthritis, osteoarthritis, accelerometry, gait analysis, motion sensing, and biomechanics experiments. Designed for researchers, analysts, and students, the package facilitates exploration and analysis of data related to health monitoring, physical activity, and rehabilitation.
License: MIT + file LICENSE
URL: https://github.com/alejandrosialer/healthmotionR, https://alejandrosialer.github.io/healthmotionR/
BugReports: https://github.com/alejandrosialer/healthmotionR/issues
Encoding: UTF-8
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 01:30:10 UTC; ALEJANDRO SIALER
Author: Oscar Alejandro Sialer Gallo [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-06 08:00:08 UTC

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New package adaplots with initial version 0.1.0
Package: adaplots
Title: Ada-Plot and Uda-Plot for Assessing Distributional Attributes and Normality
Version: 0.1.0
Maintainer: Uditha Amarananda Wijesuriya <u.wijesuriya@usi.edu>
Description: The centralized empirical cumulative average deviation function is utilized to develop both Ada-plot and Uda-plot as alternatives to Ad-plot and Ud-plot introduced by the author. Analogous to Ad-plot, Ada-plot can identify symmetry, skewness, and outliers of the data distribution. The Uda-plot is as exceptional as Ud-plot in assessing normality. The d-value that quantifies the degree of proximity between the Uda-plot and the graph of the estimated normal density function helps guide to make decisions on confirmation of normality. Extreme values in the data can be eliminated using the 1.5IQR rule to create its robust version if user demands. Full description of the methodology can be found in the article by Wijesuriya (2025a) <doi:10.1080/03610926.2025.2558108>. Further, the development of Ad-plot and Ud-plot is contained in both article and the 'adplots' R package by Wijesuriya (2025b & 2025c) <doi:10.1080/03610926.2024.2440583> and <doi:10.32614/CRAN.package.adplots [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-29 13:16:20 UTC; uwijesuriy
Author: Uditha Amarananda Wijesuriya [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-06 08:00:14 UTC

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New package minter with initial version 0.1.0
Package: minter
Title: Effect Sizes for Meta-Analysis of Interactions from Factorial Experiments
Version: 0.1.0
Description: Compute effect sizes and their sampling variances from factorial experimental designs. The package supports calculation of simple effects, overall effects, and interaction effects for use in factorial meta-analyses. See Gurevitch et al. (2000) <doi:10.1086/303337>, Morris et al. (2007) <doi:10.1890/06-0442>, Lajeunesse (2011) <doi:10.1890/11-0423.1> and Macartney et al. (2022) <doi:10.1016/j.neubiorev.2022.104554>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://fdecunta.github.io/minter/
BugReports: https://github.com/fdecunta/minter/issues
Imports: checkmate
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-09 14:35:41 UTC; fdecunta
Author: Facundo Decunta [aut, cre] , Shinichi Nakagawa [ctb], Daniel Noble [ctb]
Maintainer: Facundo Decunta <fdecunta@agro.uba.ar>
Repository: CRAN
Date/Publication: 2025-10-06 06:00:02 UTC

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New package gageRR with initial version 0.1.0
Package: gageRR
Title: Calculate Gauge Repeatability and Reproducibility
Version: 0.1.0
Description: Procedures for calculating variance components, study variation, percent study variation, and percent tolerance for gauge repeatability and reproducibility study. Methods included are ANOVA and Average / Range methods. Requires balanced study.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), readxl, shiny
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-29 10:55:39 UTC; warre
Author: Jonah Warren [aut, cre]
Maintainer: Jonah Warren <warren.jonahb@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-06 06:00:08 UTC

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Fri, 03 Oct 2025

New package BioMoR with initial version 0.1.0
Package: BioMoR
Title: Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble
Version: 0.1.0
Description: Tools for bioinformatics modeling using recursive transformer-inspired architectures, autoencoders, random forests, XGBoost, and stacked ensemble models. Includes utilities for cross-validation, calibration, benchmarking, and threshold optimization in predictive modeling workflows. The methodology builds on ensemble learning (Breiman 2001 <doi:10.1023/A:1010933404324>), gradient boosting (Chen and Guestrin 2016 <doi:10.1145/2939672.2939785>), autoencoders (Hinton and Salakhutdinov 2006 <doi:10.1126/science.1127647>), and recursive transformer efficiency approaches such as Mixture-of-Recursions (Bae et al. 2025 <doi:10.48550/arXiv.2507.10524>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: caret, recipes, themis, xgboost, magrittr, dplyr, pROC
Suggests: randomForest, testthat (>= 3.0.0), PRROC, ggplot2, purrr, tibble, yardstick, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-27 09:30:29 UTC; apple
Author: MD. Arshad [aut, cre]
Maintainer: MD. Arshad <arshad10867c@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-03 13:50:02 UTC

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New package adcontabil with initial version 1.0.4
Package: adcontabil
Version: 1.0.4
Title: Accounting Analysis
Description: Provides methods for processing corporate balance sheets with a focus on the Brazilian reporting format. Includes data standardization, classification by accounting categories, and aggregation of values. Supports accounting and financial analyses of companies, improving efficiency and ensuring reproducibility of empirical studies.
License: MIT + file LICENSE
URL: https://github.com/LissandroSousa/adcontabil.R
BugReports: https://github.com/LissandroSousa/adcontabil.R/issues
Imports: dplyr, magrittr, stringi, data.table
Encoding: UTF-8
NeedsCompilation: no
Depends: R (>= 4.1.0)
Packaged: 2025-09-26 22:39:29 UTC; USER
Author: Lissandro Costa de Sousa [cre, aut], Francisco Gildemir Ferreira da Silva [ths, aut]
Maintainer: Lissandro Costa de Sousa <lisandrosousa54@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-03 13:10:02 UTC

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New package topologyR with initial version 0.1.1
Package: topologyR
Title: Topological Connectivity Analysis for Numeric Data
Version: 0.1.1
Description: Description: Implementation of topological data analysis methods based on graph-theoretic approaches for discovering topological structures in data. The core algorithm constructs topological spaces from graphs following Nada et al. (2018) <doi:10.1002/mma.5096> "New types of topological structures via graphs".
License: MIT + file LICENSE
URL: https://github.com/IsadoreNabi/topologyR
BugReports: https://github.com/IsadoreNabi/topologyR/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: ggplot2, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-09-26 02:18:30 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-10-03 12:20:02 UTC

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New package CORPlot with initial version 1.0.2
Package: CORPlot
Title: Cumulative Odds Ratio Plot
Version: 1.0.2
Description: Create cumulative odds ratio plot to visually inspect the proportional odds assumption from the proportional odds model.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Yongxi-Long/CORPlot
BugReports: https://github.com/Yongxi-Long/CORPlot/issues
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
Imports: ggplot2, knitr, stats, VGAM
NeedsCompilation: no
Packaged: 2025-09-26 14:25:18 UTC; ylong
Author: Yongxi Long [aut, cre, cph]
Maintainer: Yongxi Long <y.long@lumc.nl>
Repository: CRAN
Date/Publication: 2025-10-03 12:50:02 UTC

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Wed, 01 Oct 2025

New package plotlsirm with initial version 0.1.3
Package: plotlsirm
Title: Plot Toolkit for Latent Space Item Response Models
Version: 0.1.3
Description: Provides publication‑quality and interactive plots for exploring the posterior output of Latent Space Item Response Models, including Posterior Interaction Profiles, radar charts, 2‑D latent maps, and item‑similarity heat maps. The methods implemented in this package are based on work by Jeon, M., Jin, I. H., Schweinberger, M., Baugh, S. (2021) <doi:10.1007/s11336-021-09762-5>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4), rlang, dplyr, tidyr, patchwork, scales, grid
Suggests: plotly, testthat (>= 3.0.0), spelling
URL: https://github.com/jevanluo/plotlsirm
BugReports: https://github.com/jevanluo/plotlsirm/issues
Author: Jinwen Luo [aut, cre] , Minjeong Jeon [aut]
Maintainer: Jinwen Luo <jevanluo@ucla.edu>
NeedsCompilation: no
Packaged: 2025-09-24 20:18:55 UTC; jevan
Repository: CRAN
Date/Publication: 2025-10-01 07:10:02 UTC

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New package PhytoIn with initial version 0.2.0
Package: PhytoIn
Title: Vegetation Analysis and Forest Inventory
Version: 0.2.0
Description: Provides functions and example datasets for phytosociological analysis, forest inventory, biomass and carbon estimation, and visualization of vegetation data. Includes functions to compute structural parameters [phytoparam(), summary.param(), stats()], estimate above-ground biomass and carbon [AGB()], stratify wood volume by diameter at breast height (DBH) classes [stratvol()], generate collector and rarefaction curves [collector.curve(), rarefaction()], and visualize basal areas on quadrat maps [BAplot(), including rectangular plots and individual coordinates]. Several example datasets are provided to demonstrate the functionality of these tools. For more details see FAO (1981, ISBN:92-5-101132-X) "Manual of forest inventory", IBGE (2012, ISBN:9788524042720) "Manual técnico da vegetação brasileira" and Heringer et al. (2020) "Phytosociology in R: A routine to estimate phytosociological parameters" <doi:10.22533/at.ed.3552009033>.
Depends: R (>= 3.5.0)
Imports: ggplot2, ggforce, packcircles, BIOMASS, scales, utils, stats
Suggests: httr2, spelling
License: GPL-3
URL: https://github.com/PhytoIn/PhytoIn
BugReports: https://github.com/PhytoIn/PhytoIn/issues
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-24 17:21:04 UTC; raspe
Author: Rodrigo Augusto Santinelo Pereira [aut, cre]
Maintainer: Rodrigo Augusto Santinelo Pereira <raspereira@usp.br>
Repository: CRAN
Date/Publication: 2025-10-01 07:10:13 UTC

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New package LePage with initial version 1.0
Package: LePage
Title: LePage Type Tests
Version: 1.0
Date: 2025-09-25
Author: Michail Tsagris [aut, cre], Abid Hussain [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, stats
Suggests: Rfast2
Description: Location and scale hypothesis testing using the LePage test and variants of its as proposed by Hussain A. and Tsagris M. (2025), <doi:10.48550/arXiv.2509.19126>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-09-25 05:27:59 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-10-01 07:30:09 UTC

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New package ExtendedABSurvTDC with initial version 0.1.0
Package: ExtendedABSurvTDC
Title: Survival Analysis using Indicators under Time Dependent Covariates
Version: 0.1.0
Author: Dr. Himadri Ghosh [aut, cre], Mr. Saikath Das [aut], Dr. Md Yeasin [aut], Dr. Debopam Rakshit [aut]
Maintainer: Dr. Himadri Ghosh <hghosh@gmail.com>
Description: Survival analysis is employed to model time-to-event data. This package examines the relationship between survival and one or more predictors, termed as covariates, which can include both treatment variables (e.g., season of birth, represented by indicator functions) and continuous variables. To this end, the Cox-proportional hazard (Cox-PH) model, introduced by Cox in 1972, is a widely applicable and commonly used method for survival analysis. This package enables the estimation of the effect of randomization for the treatment variable to account for potential confounders, providing adjustment when estimating the association with exposure. It accommodates both fixed and time-dependent covariates and computes survival probabilities for lactation periods in dairy animals. The package is built upon the algorithm developed by Klein and Moeschberger (2003) <DOI:10.1007/b97377>.
License: GPL-3
Encoding: UTF-8
Imports: stats, survival, readxl
NeedsCompilation: no
Packaged: 2025-09-24 13:21:56 UTC; YEASIN
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-01 07:10:18 UTC

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New package EpiPvr with initial version 0.0.1
Package: EpiPvr
Title: Estimating Plant Pathogen Epidemiology Parameters from Laboratory Assays
Version: 0.0.1
Description: Provides functions for estimating plant pathogen parameters from access period (AP) experiments. Separate functions are implemented for semi-persistently transmitted (SPT) and persistently transmitted (PT) pathogens. The common AP experiment exposes insect cohorts to infected source plants, healthy test plants, and intermediate plants (for PT pathogens). The package allows estimation of acquisition and inoculation rates during feeding, recovery rates, and latent progression rates (for PT pathogens). Additional functions support inference of epidemic risk from pathogen and local parameters, and also simulate AP experiment data. The functions implement probability models for epidemiological analysis, as derived in Donnelly et al. (2025), <doi:10.32942/X29K9P>. These models were originally implemented in the 'EpiPv' 'GitHub' package.
License: GPL-3
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5)
Imports: methods, stats, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.5.0), posterior
Suggests: bayesplot, knitr, rmarkdown, testthat (>= 3.0.0), ggplot2
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
VignetteBuilder: knitr
URL: https://CRAN.R-project.org/package=EpiPvr
LazyData: true
NeedsCompilation: yes
Packaged: 2025-09-25 00:22:14 UTC; ruair
Author: Ruairi Donnelly [aut, cre, cph]
Maintainer: Ruairi Donnelly <rd501@cam.ac.uk>
Repository: CRAN
Date/Publication: 2025-10-01 07:30:14 UTC

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New package descsuppR with initial version 1.2
Package: descsuppR
Version: 1.2
License: GPL-3
Title: Support Functions for (Reproducible) Descriptive Statistics
Description: Contains functions to help with generating tables with descriptive statistics. In addition, the package can display results of statistical tests for group comparisons. A wide range of test procedures is supported, and user-defined test functions can be incorporated.
Depends: foreach
Imports: plyr, descutils, tibble, dplyr, rlang, DescTools, nparcomp, rankFD, circular, glue, purrr
Suggests: roxygen2, survival, stringr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-24 18:38:18 UTC; kueck2
Author: Andreas Leha [aut], Fabian Kueck [aut, cre]
Maintainer: Fabian Kueck <fabian.kueck@med.uni-goettingen.de>
Repository: CRAN
Date/Publication: 2025-10-01 07:10:08 UTC

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