CRANberries

Tue, 16 Sep 2025

New package sstn with initial version 1.0.0
Package: sstn
Title: Self-Similarity Test for Normality
Version: 1.0.0
Description: Implements the Self-Similarity Test for Normality (SSTN), a new statistical test designed to assess whether a given sample originates from a normal distribution. The procedure is based on iteratively estimating the characteristic function of the sum of standardized i.i.d. random variables and comparing it to the characteristic function of the standard normal distribution. A Monte Carlo procedure is used to determine the empirical distribution of the test statistic under the null hypothesis. Details of the methodology are described in Anarat and Schwender (2025), "A normality test based on self-similarity" (Submitted).
License: GPL-3
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-11 15:09:15 UTC; Akin
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>
Repository: CRAN
Date/Publication: 2025-09-16 07:30:02 UTC

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New package sqlq with initial version 1.0.1
Package: sqlq
Title: 'SQL' Query Builder
Version: 1.0.1
Maintainer: Pierrick Roger <pierrick.roger@cea.fr>
Description: Allows to build complex 'SQL' (Structured Query Language) queries dynamically. Classes and/or factory functions are used to produce a syntax tree from which the final character string is generated. Strings and identifiers are automatically quoted using the right quotes, using either ANSI (American National Standards Institute) quoting or the quoting style of an existing database connector. Style can be configured to set uppercase/lowercase for keywords, remove unnecessary spaces, or omit optional keywords.
URL: https://gitlab.com/cnrgh/databases/r-sqlq
BugReports: https://gitlab.com/cnrgh/databases/r-sqlq/-/issues
Depends: R (>= 4.1)
License: AGPL-3
Encoding: UTF-8
Suggests: roxygen2, testthat, knitr, rmarkdown, covr, cyclocomp, lintr, lgr, RSQLite
Imports: R6, chk, DBI
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2025-09-11 16:01:38 UTC; pierrick
Author: Pierrick Roger [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-16 07:40:02 UTC

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New package rgeomorphon with initial version 0.3.0
Package: rgeomorphon
Title: A Lightweight Implementation of the 'Geomorphon' Algorithm
Version: 0.3.0
Maintainer: Andrew Brown <brown.andrewg@gmail.com>
Description: A lightweight implementation of the geomorphon terrain form classification algorithm of Jasiewicz and Stepinski (2013) <doi:10.1016/j.geomorph.2012.11.005> based largely on the 'GRASS GIS' 'r.geomorphon' module. This implementation employs a novel algorithm written in C++ and 'RcppParallel'.
License: GPL (>= 3)
Depends: R (>= 3.6.2)
Imports: Rcpp, RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: terra, future.apply, litedown, tinytest
Enhances: future, parallel
Encoding: UTF-8
Language: en-US
URL: https://github.com/brownag/rgeomorphon/, https://humus.rocks/rgeomorphon/
BugReports: https://github.com/brownag/rgeomorphon/issues
LazyData: true
VignetteBuilder: litedown
NeedsCompilation: yes
Packaged: 2025-09-11 14:04:19 UTC; andrew
Author: Andrew Brown [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-16 07:20:02 UTC

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New package ccar3 with initial version 0.1.0
Package: ccar3
Title: Canonical Correlation Analysis via Reduced Rank Regression
Version: 0.1.0
Date: 2025-08-22
Author: Claire Donnat [aut, cre] , Elena Tuzhilina [aut] , Zixuan Wu [aut]
Maintainer: Claire Donnat <cdonnat@uchicago.edu>
Description: Canonical correlation analysis (CCA) via reduced-rank regression with support for regularization and cross-validation. Several methods for estimating CCA in high-dimensional settings are implemented. The first set of methods, cca_rrr() (and variants: cca_group_rrr() and cca_graph_rrr()), assumes that one dataset is high-dimensional and the other is low-dimensional, while the second, ecca() (for Efficient CCA) assumes that both datasets are high-dimensional. For both methods, standard l1 regularization as well as group-lasso regularization are available. cca_graph_rrr further supports total variation regularization when there is a known graph structure among the variables of the high-dimensional dataset. In this case, the loadings of the canonical directions of the high-dimensional dataset are assumed to be smooth on the graph. For more details see Donnat and Tuzhilina (2024) <doi:10.48550/arXiv.2405.19539> and Wu, Tuzhilina and Donnat (2025) <doi:10.48550/arXiv.2507.11160> [...truncated...]
Depends: R (>= 3.5.0)
Imports: purrr, magrittr, tidyr, dplyr, foreach, pracma, corpcor, matrixStats, RSpectra, caret
Suggests: SMUT, igraph, testthat (>= 3.0.0), rrpack, CVXR, Matrix, glmnet, CCA, PMA, doParallel, crayon
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-11 21:48:50 UTC; clairedonnat
Repository: CRAN
Date/Publication: 2025-09-16 08:00:07 UTC

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New package Asiaverse with initial version 0.1.0
Package: Asiaverse
Title: A Metapackage for Asian Countries RESTful APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: A metapackage that brings together a comprehensive collection of R packages providing access to APIs functions and curated datasets from China, Japan, South Korea, India, and Indonesia. It includes real-time and historical data through public RESTful APIs (Nager.Date, World Bank API, REST Countries API) and extensive curated collections of open datasets covering economics, demographics, public health, environmental data, natural disasters, political indicators, and social metrics. Designed to provide researchers, analysts, educators, and data scientists with centralized access to Asian data sources, this metapackage facilitates reproducible research, comparative analysis, and teaching applications focused on these five major Asian countries. Included packages: - 'ChinAPIs': APIs functions and curated datasets for China and Hong Kong covering air quality, demographics, input-output tables, epidemiology, political structure, and social indicators. - 'JapanAPIs': APIs functions and curate [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/lightbluetitan/asiaverse, https://lightbluetitan.github.io/asiaverse/
BugReports: https://github.com/lightbluetitan/asiaverse/issues
Encoding: UTF-8
Language: en
Depends: R (>= 4.1.0), ChinAPIs, JapanAPIs, SouthKoreAPIs, IndiAPIs, IndonesiAPIs
Imports: cli, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-11 16:23:00 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-16 07:40:08 UTC

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New package stepmetrics with initial version 1.0.1
Package: stepmetrics
Title: Calculate Step and Cadence Metrics from Wearable Data
Version: 1.0.1
Description: Provides functions to calculate step- and cadence-based metrics from timestamped accelerometer and wearable device data. Supports CSV and AGD files from 'ActiGraph' devices, CSV files from 'Fitbit' devices, and step counts derived with R package 'GGIR' <https://github.com/wadpac/GGIR>, with automatic handling of epoch lengths from 1 to 60 seconds. Metrics include total steps, cadence peaks, minutes and steps in predefined cadence bands, and time and steps in moderate-to-vigorous physical activity (MVPA). Methods and thresholds are informed by the literature, e.g., Tudor-Locke and Rowe (2012) <doi:10.2165/11599170-000000000-00000>, Barreira et al. (2012) <doi:10.1249/MSS.0b013e318254f2a3>, and Tudor-Locke et al. (2018) <doi:10.1136/bjsports-2017-097628>. The package record is also available on Zenodo (2023) <doi:10.5281/zenodo.7858094>.
License: AGPL (>= 3)
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: PhysicalActivity, tools, stats, utils
Suggests: testthat (>= 3.0.0), RSQLite, spelling
URL: https://github.com/jhmigueles/stepmetrics
BugReports: https://github.com/jhmigueles/stepmetrics/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-11 10:43:36 UTC; Jairo
Author: Jairo H Migueles [aut, cre], Elroy J Aguiar [fnd] , University of Alabama [fnd]
Maintainer: Jairo H Migueles <jairo@jhmigueles.com>
Repository: CRAN
Date/Publication: 2025-09-16 06:40:02 UTC

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New package GPTCM with initial version 1.1.1
Package: GPTCM
Title: Generalized Promotion Time Cure Model with Bayesian Shrinkage Priors
Version: 1.1.1
Description: Generalized promotion time cure model (GPTCM) via Bayesian hierarchical modeling for multiscale data integration (Zhao et al. (2025) <doi:10.48550/arXiv.2509.01001>). The Bayesian GPTCMs are applicable for both low- and high-dimensional data.
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
Copyright: The code in src/arms.cpp is slightly modified based on the research paper implementation written by Wally Gilks.
URL: https://github.com/ocbe-uio/GPTCM
BugReports: https://github.com/ocbe-uio/GPTCM/issues
License: GPL-3
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, survival, riskRegression, ggplot2, ggridges, miCoPTCM, loo, mvnfast, Matrix, scales, utils, stats, graphics
Suggests: knitr, survminer
NeedsCompilation: yes
SystemRequirements: C++17
Packaged: 2025-09-11 07:59:27 UTC; zhiz
Author: Zhi Zhao [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-16 06:10:02 UTC

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New package GenePopStats with initial version 0.1.0
Package: GenePopStats
Title: Population Genetics Statistics for Selective Sweep
Version: 0.1.0
Imports: vcfR
Description: Selective Sweep can be calculated by five significant Population Genetics Statistics such as "Pi", "Wattersons_theta", "Tajima_D", "Kelly_ZnS" and "Omega" Statistics in specified chromosomal region. It has been developed by using the concept of "Kern" and "Schrider" (2018)<doi:10.1534/g3.118.200262>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-11 09:07:00 UTC; Abhik
Author: Abhik Sarkar [aut, cre], Dwijesh Chandra Mishra [aut], Dipro Sinha [aut], Saikath Das [aut], Krishna Kumar Chaturvedi [aut], Shashi Bhushan Lal [aut], Sanjeev Kumar [aut], Ranjit Kumar Paul [aut], Girish Kumar Jha [aut], Neeraj Budhlakoti [aut], Md Y [...truncated...]
Maintainer: Abhik Sarkar <abhik.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-16 06:20:02 UTC

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New package fmrihrf with initial version 0.1.0
Package: fmrihrf
Title: Hemodynamic Response Functions for fMRI Data Analysis
Version: 0.1.0
Description: Creates, manipulates, and evaluates hemodynamic response functions and event-related regressors for functional magnetic resonance imaging data analysis. Supports multiple basis sets including Canonical, Gamma, Gaussian, B-spline, and Fourier bases. Features decorators for time-shifting and blocking, and efficient convolution algorithms for regressor construction. Methods are based on standard fMRI analysis techniques as described in Jezzard et al. (2001, ISBN:9780192630711).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, assertthat, purrr, stats, Matrix, cli, memoise, numDeriv, splines, pracma
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, dplyr, tidyr, viridis, scales, microbenchmark
VignetteBuilder: knitr
URL: https://bbuchsbaum.github.io/fmrihrf/
BugReports: https://github.com/bbuchsbaum/fmrihrf/issues
NeedsCompilation: yes
Packaged: 2025-09-11 12:12:18 UTC; bbuchsbaum
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-16 06:50:02 UTC

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New package ezTrack with initial version 0.1.0
Package: ezTrack
Title: Exploring Animal Movement Data
Version: 0.1.0
Description: Streamlines common steps for working with animal tracking data, from raw telemetry points to summaries, interactive maps, and home range estimates. Designed to be beginner-friendly, it enables rapid exploration of spatial and movement data with minimal wrangling, providing a unified workflow for importing, summarizing, and visualizing, and analyzing animal movement datasets.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: methods, sf, sp, geosphere, leaflet, adehabitatHR, magrittr, htmltools, utils, stats, ggplot2, readxl, kableExtra, dplyr
VignetteBuilder: knitr
Suggests: knitr, viridisLite, rmarkdown
BugReports: https://github.com/taylorbcraft/ezTrack/issues
URL: https://github.com/taylorbcraft/ezTrack
NeedsCompilation: no
Packaged: 2025-09-11 09:58:09 UTC; taylorcraft
Author: Taylor Craft [aut, cre]
Maintainer: Taylor Craft <taylor.craft.mail@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-16 06:40:07 UTC

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New package Rparadox with initial version 0.1.1
Package: Rparadox
Title: Read Paradox Database Files into R
Version: 0.1.1
Description: Provides a simple and efficient way to read data from Paradox database files (.db) directly into R as modern 'tibble' data frames. It uses the underlying 'pxlib' C library to handle the low-level file format details and provides a clean, user-friendly R interface.
License: GPL (>= 2)
Encoding: UTF-8
Imports: blob, hms, tibble
Suggests: rmarkdown, devtools, knitr, testthat (>= 3.0.0), usethis
URL: https://github.com/celebithil/Rparadox
BugReports: https://github.com/celebithil/Rparadox/issues
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2025-09-11 06:58:59 UTC; celebithil
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-16 06:00:19 UTC

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New package geospatialsuite with initial version 0.1.0
Package: geospatialsuite
Title: Comprehensive Geospatiotemporal Analysis and Multimodal Integration Toolkit
Version: 0.1.0
Maintainer: Olatunde D. Akanbi <olatunde.akanbi@case.edu>
Description: A comprehensive toolkit for geospatiotemporal analysis featuring 60+ vegetation indices, advanced raster visualization, universal spatial mapping, water quality analysis, CDL crop analysis, spatial interpolation, temporal analysis, and terrain analysis. Designed for agricultural research, environmental monitoring, remote sensing applications, and publication-quality mapping with support for any geographic region and robust error handling. Methods include vegetation indices calculations (Rouse et al. 1974), NDVI and enhanced vegetation indices (Huete et al. 1997) <doi:10.1016/S0034-4257(97)00104-1>, spatial interpolation techniques (Cressie 1993, ISBN:9780471002556), water quality indices (McFeeters 1996) <doi:10.1080/01431169608948714>, and crop data layer analysis (USDA NASS 2024) <https://www.nass.usda.gov/Research_and_Science/Cropland/>. Funding: This material is based upon financial support by the National Science Foundation, EEC Division of Engineering Education [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, graphics, grDevices, htmlwidgets, leaflet, magrittr, mice, parallel, RColorBrewer, rnaturalearth, sf, stats, stringr, terra, tigris, tools, utils, viridis
Suggests: knitr, pkgnet, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-11 07:55:14 UTC; oda10
Author: Olatunde D. Akanbi [aut, cre, cph] , Vibha Mandayam [aut] , Yinghui Wu [aut] , Jeffrey Yarus [aut] , Erika I. Barcelos [aut, cph] , Roger H. French [aut, cph]
Repository: CRAN
Date/Publication: 2025-09-16 06:00:02 UTC

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New package ecotourism with initial version 0.1.0
Package: ecotourism
Title: Collection of Data on Wildlife Sightings, Tourism Counts, and Weather from Australia
Version: 0.1.0
Description: This is a collection of data files for exploring sightings of wild things, relative to weather and tourism patterns in Australia.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: dplyr, ggplot2, ggthemes, ggbeeswarm, sf, knitr, lubridate, quarto, testthat (>= 3.0.0), tidyr
VignetteBuilder: quarto
SystemRequirements: Quarto
Depends: R (>= 3.5)
URL: https://github.com/vahdatjavad/ecotourism
BugReports: https://github.com/vahdatjavad/ecotourism/issues
NeedsCompilation: no
Packaged: 2025-09-11 06:01:31 UTC; jvah0003
Author: Dianne Cook [aut] , Lyn Cook [aut] , Javad Vahdat Atashgah [aut, cre]
Maintainer: Javad Vahdat Atashgah <vahdatjavad@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-16 06:00:11 UTC

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Mon, 15 Sep 2025

New package waou with initial version 0.1.0
Package: waou
Title: Weighting All of Us
Version: 0.1.0
Description: Utilities for using a probability sample to reweight prevalence estimates calculated from the All of Us research program. Weighted estimates will still not be representative of the general U.S. population. However, they will provide an early indication for how unweighted estimates may be biased by the sampling bias in the All of Us sample.
License: AGPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: glmnet, dplyr, stringr, stats, glue, mice, nonprobsvy, survey, ggplot2, purrr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-10 20:51:53 UTC; mbrannock
Author: Daniel Brannock [aut, cre] , Mahmoud Elkasabi [aut]
Maintainer: Daniel Brannock <mbrannock@rti.org>
Repository: CRAN
Date/Publication: 2025-09-15 09:10:02 UTC

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New package twomodeclusteringGA with initial version 1.0.0
Package: twomodeclusteringGA
Title: Genetic Algorithm Based Two-Mode Clustering
Version: 1.0.0
Description: Implements two-mode clustering (biclustering) using genetic algorithms. The method was first introduced in Hageman et al. (2008) <doi:10.1007/s11306-008-0105-7>. The package provides tools for fitting, visualization, and validation of two-mode cluster structures in data matrices.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: GA, stats, utils, ggplot2
URL: https://github.com/joshageman/twomodeclusteringGA
BugReports: https://github.com/joshageman/twomodeclusteringGA/issues
NeedsCompilation: no
Packaged: 2025-09-10 19:08:45 UTC; hagem011
Author: Jos Hageman [aut, cre]
Maintainer: Jos Hageman <jos.hageman@wur.nl>
Repository: CRAN
Date/Publication: 2025-09-15 09:10:07 UTC

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New package ISPYARDSWinProbabilityGSDesign with initial version 0.1.0
Package: ISPYARDSWinProbabilityGSDesign
Title: Trial Design in Respiratory Disease Based on the Win Probability
Version: 0.1.0
Description: Provides analysis results and trial simulation functions for the I-SPY Acute Respiratory Disease Syndrome trial based on composite ranked outcomes. The composite ranked outcome is a hierarchical outcome where trial participants are ranked first by 28 day mortality, then ventilator days, then by advanced respiratory support days. A Bayesian win probability approach is used for analysis. Trial design options include group sequential looks for safety, superiority, futility, and adjustment of randomization probabilities.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: DFBA
NeedsCompilation: no
Packaged: 2025-09-10 21:05:33 UTC; a.chapple
Author: Andrew G Chapple [aut, cre], Andrew Chapple [ctb], Peter Norwood [ctb], Martin Eklund [ctb], Derek Russell [ctb], Phil Beineke [ctb], Quantum Leap Healthcare Collaborative [ctb, cph]
Maintainer: Andrew G Chapple <a.chapple@qlhc.org>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-15 09:10:25 UTC

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New package broadcast with initial version 0.1.3
Package: broadcast
Title: Broadcasted Array Operations Like 'NumPy'
Version: 0.1.3
Description: Implements efficient 'NumPy'-like broadcasted operations for atomic and recursive arrays. Besides linking to 'Rcpp', 'broadcast' does not use any external libraries in any way; 'broadcast' was essentially made from scratch and can be installed out-of-the-box. The implementations available in 'broadcast' include, but are not limited to, the following. 1) Broadcasted element-wise operations on any 2 arrays; they support a large set of relational, arithmetic, Boolean, string, and bit-wise operations. 2) A faster, more memory efficient, and broadcasted abind-like function, for binding arrays along an arbitrary dimension. 3) Broadcasted ifelse-like, and apply-like functions. 4) Casting functions, that cast subset-groups of an array to a new dimension, cast nested lists to dimensional lists, and vice-versa. 5) A few linear algebra functions for statistics. The functions in the 'broadcast' package strive to minimize computation time and memory usage (which is not just good for efficient compu [...truncated...]
License: MPL-2.0
Encoding: UTF-8
LinkingTo: Rcpp
Depends: R (>= 4.2.0)
Imports: Rcpp (>= 1.0.14), methods
Suggests: tinytest, abind, roxygen2
URL: https://github.com/tony-aw/broadcast, https://tony-aw.github.io/broadcast/
BugReports: https://github.com/tony-aw/broadcast/issues/
Language: en-gb
NeedsCompilation: yes
Packaged: 2025-09-10 18:32:06 UTC; Tony
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tony_a_wilkes@outlook.com>
Repository: CRAN
Date/Publication: 2025-09-15 09:10:18 UTC

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New package BLMEngineInR with initial version 0.1.7
Package: BLMEngineInR
Version: 0.1.7
Date: 2025-09-03
Title: Biotic Ligand Model Engine
Description: A chemical speciation and toxicity prediction model for the toxicity of metals to aquatic organisms. The Biotic Ligand Model (BLM) engine was originally programmed in 'PowerBasic' by Robert Santore and others. The main way the BLM can be used is to predict the toxicity of a metal to an organism with a known sensitivity (i.e., it is known how much of that metal must accumulate on that organism's biotic ligand to cause a physiological effect in a certain percentage of the population, such as a 20% loss in reproduction or a 50% mortality rate). The second way the BLM can be used is to estimate the chemical speciation of the metal and other constituents in water, including estimating the amount of metal accumulated to an organism's biotic ligand during a toxicity test. In the first application of the BLM, the amount of metal associated with a toxicity endpoint, or regulatory limit will be predicted, while in the second application, the amount of metal is known and the portions of that meta [...truncated...]
License: Apache License (>= 2)
URL: https://www.windwardenv.com/biotic-ligand-model/
Encoding: UTF-8
Language: en-US
LazyData: true
Imports: methods, openxlsx, Rcpp (>= 1.0.10), utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), withr
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2025-09-10 21:05:25 UTC; kellyc
Author: Robert Santore [aut], Kelly Croteau [aut, cre]
Maintainer: Kelly Croteau <kellyc@windwardenv.com>
Repository: CRAN
Date/Publication: 2025-09-15 09:10:29 UTC

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New package USE with initial version 0.1.6
Package: USE
Title: Uniform Sampling of the Environmental Space
Version: 0.1.6
Description: Provides functions for uniform sampling of the environmental space, designed to assist species distribution modellers in gathering ecologically relevant pseudo-absence data. The method ensures balanced representation of environmental conditions and helps reduce sampling bias in model calibration. Based on the framework described by Da Re et al. (2023) <doi:10.1111/2041-210X.14209>.
Depends: R (>= 3.6.0)
Imports: sf, parallel, terra, ks, ggplot2, cowplot
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://danddr.github.io/USE/, https://github.com/danddr/USE
BugReports: https://github.com/danddr/USE/issues
Suggests: rmarkdown, knitr, tidyterra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-10 12:15:13 UTC; dared
Author: Daniele Da Re [aut, cre] , Enrico Tordoni [aut] , Manuele Bazzichetto [aut]
Maintainer: Daniele Da Re <dare.daniele@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 08:10:02 UTC

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New package tdPRC with initial version 1.0.0
Package: tdPRC
Title: Time-Dependent Precision-Recall Curve Estimation for Right-Censored Data
Version: 1.0.0
Description: This contains functions that can be used to estimate the time-dependent precision-recall curve (PRC) and the corresponding area under the PRC for right-censored survival data. It also compute time-dependent ROC curve and its corresponding area under the ROC curve (AUC). See Beyene, Chen and Kifle (2024) <doi:10.1002/bimj.202300135>.
License: GPL (>= 2)
Depends: R(>= 4.0)
Imports: survidm, graphics, stats
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-10 14:19:59 UTC; m2kas
Author: Kassu Mehari Beyene [aut, cre], Ding-Geng Chen [ctb], Yehenew Getachew Kifle [ctb]
Maintainer: Kassu Mehari Beyene <m2kassu@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 09:00:02 UTC

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New package SEQTaRget with initial version 0.13.1
Package: SEQTaRget
Title: Sequential Trial Emulation
Version: 0.13.1
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: rmarkdown, testthat (>= 3.0.0)
Imports: data.table, doFuture, doRNG, fastglm, future, future.apply, ggplot2, knitr, methods, stringr, survival
Depends: R (>= 4.1)
URL: https://causalinference.github.io/SEQuential/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-10 15:45:45 UTC; ryo766
Author: Ryan O'Dea [aut, cre] , Alejandro Szmulewicz [aut] , Miguel Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryanodea@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2025-09-15 08:40:02 UTC

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New package ronfig with initial version 0.0.2
Package: ronfig
Title: Load Configuration Values
Version: 0.0.2
Description: A simple approach to configuring R projects with different parameter values. Configurations are specified using a reduced subset of base R and parsed accordingly.
URL: https://timtaylor.codeberg.page/ronfig/
BugReports: https://codeberg.org/TimTaylor/ronfig/issues
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: cli, utils
Suggests: litedown, testthat (>= 3.0.0)
VignetteBuilder: litedown
NeedsCompilation: no
Packaged: 2025-09-10 09:44:53 UTC; tim
Author: Tim Taylor [aut, cre, cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Repository: CRAN
Date/Publication: 2025-09-15 08:30:02 UTC

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New package rdcmchecks with initial version 0.1.0
Package: rdcmchecks
Title: Common Argument Checks for 'r-dcm' Packages
Version: 0.1.0
Description: Many packages in the 'r-dcm' family take similar arguments, which are checked for expected structures and values. Rather than duplicating code across several packages, commonly used check functions are included here. This package can then be imported to access the check functions in other packages.
License: MIT + file LICENSE
URL: https://rdcmchecks.r-dcm.org, https://github.com/r-dcm/rdcmchecks
BugReports: https://github.com/r-dcm/rdcmchecks/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, readr, rlang, tibble, tidyr
Suggests: dcmdata, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-10 15:34:31 UTC; jakethompson
Author: W. Jake Thompson [aut, cre] , University of Kansas [cph], Institute of Education Sciences [fnd], Accessible Teaching, Learning, and Assessment Systems [fnd]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 08:30:06 UTC

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New package polarisR with initial version 0.1.3
Package: polarisR
Title: Non-Linear Dimensionality Reduction Visualization Tool
Version: 0.1.3
Description: A 'shiny' application for visualizing high-dimensional data using non-linear dimensionality reduction (NLDR) techniques such as t-SNE and UMAP. It provides an interactive platform to explore high-dimensional datasets, diagnose the quality of the embeddings using the 'quollr' package, and compare different NLDR methods.
License: MIT + file LICENSE
URL: https://github.com/Divendra2006/polarisR, https://divendra2006.github.io/polarisR/
BugReports: https://github.com/Divendra2006/polarisR/issues
Depends: R (>= 4.1.0)
Imports: bslib, crosstalk, detourr, dplyr, DT, FNN, future, ggplot2, magrittr, plotly, quollr, Rtsne, scales, shiny, stats, tools, tourr, umap, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-10 14:21:50 UTC; yadav
Author: Divendra Yadav [aut, cre], Ursula Laa [aut] , Jayani P. Gamage [aut] , Eun-Kyung Lee [aut]
Maintainer: Divendra Yadav <divendrasinghyadaviit@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 08:30:12 UTC

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New package cellGeometry with initial version 0.5.4
Package: cellGeometry
Title: Geometric Single Cell Deconvolution
Version: 0.5.4
Description: Deconvolution of bulk RNA-Sequencing data into proportions of cells based on a reference single-cell RNA-Sequencing dataset using high-dimensional geometric methodology.
License: GPL (>= 3)
Encoding: UTF-8
Imports: circlize, ComplexHeatmap, DelayedArray, dplyr, ensembldb, ggplot2, ggrepel, grid, gtools, matrixStats, mcprogress, parallel, pbmcapply, rlang, scales
Depends: R (>= 4.1.0)
Suggests: future.apply, ggsci, knitr, plotly, Rfast2, rmarkdown, seriation
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-10 12:31:17 UTC; myles
Author: Myles Lewis [aut, cre] , Rachel Lau [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>
Repository: CRAN
Date/Publication: 2025-09-15 08:20:02 UTC

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New package VBphenoR with initial version 1.0.0
Package: VBphenoR
Title: Variational Bayes for Latent Patient Phenotypes in EHR
Version: 1.0.0
Description: Identification of Latent Patient Phenotype from Electronic Health Records (EHR) Data using Variational Bayes Gaussian Mixture Model for Latent Class Analysis and Variational Bayes regression for Biomarker level shifts, both implemented by Coordinate Ascent Variational Inference algorithms. Variational methods are used to enable Bayesian analysis of very large Electronic Health Records data. For VB GMM details see Bishop (2006,ISBN:9780-387-31073-2). For Logistic VB see Jaakkola and Jordan (2000) <doi:10.1023/A:1008932416310>.
License: MIT + file LICENCE
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
Imports: stats, CholWishart, pracma, knitr, utils, dbscan, data.table, ggplot2
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/buckleybrian/VBphenoR, https://buckleybrian.github.io/VBphenoR/
BugReports: https://github.com/buckleybrian/VBphenoR/issues
NeedsCompilation: no
Packaged: 2025-09-10 06:57:06 UTC; buckl
Author: Brian Buckley [aut, cre, cph] , Adrian O'Hagan [aut] , Marie Galligan [aut]
Maintainer: Brian Buckley <brian.buckley.1@ucdconnect.ie>
Repository: CRAN
Date/Publication: 2025-09-15 07:40:08 UTC

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New package vaxineR with initial version 0.1.0
Package: vaxineR
Title: Vaccine Coverage and Outbreak Risk Analysis
Version: 0.1.0
Description: Provides tools to analyze vaccine coverage data and simulate potential disease outbreak scenarios. It allows users to calculate key epidemiological metrics such as the effective reproduction number (Re), outbreak probabilities, and expected infection counts based on county-level vaccination rates, disease characteristics, and vaccine effectiveness. The package includes historical kindergarten vaccination data for Florida counties and offers functions for generating summary tables, visualizations, and exporting the underlying plot data.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, ggplot2, scales, purrr, tibble, openxlsx
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-09-10 00:41:47 UTC; TopSoarer
Author: Peiyu Liu [aut, cre], Matt Hitchings [ctb], Ira Longini [ctb]
Maintainer: Peiyu Liu <pyliu0620@outlook.com>
Repository: CRAN
Date/Publication: 2025-09-15 07:30:02 UTC

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New package repo.data with initial version 0.1.4
Package: repo.data
Title: R Repository Data
Version: 0.1.4
Description: Retrieve metadata about packages from repositories to explore package dependencies, links between help pages, aliases, package availability on a given date, and other repository dependent outcome. This metadata can be used to help package maintainers and users to navigate changes on dependencies and with reproducibility.
License: GPL (>= 3)
URL: https://github.com/llrs/repo.data, https://llrs.github.io/repo.data/
BugReports: https://github.com/llrs/repo.data/issues
Depends: R (>= 4.5)
Imports: methods, tools, utils
Suggests: igraph (>= 2.1), knitr (>= 1.49), markdown (>= 1.13), rversions (>= 2.1), spelling (>= 2.3)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-09 22:54:37 UTC; lluis
Author: Lluis Revilla Sancho [aut, cre, cph]
Maintainer: Lluis Revilla Sancho <lluis.revilla@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 07:20:02 UTC

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New package PeruAPIs with initial version 0.1.0
Package: PeruAPIs
Title: Access Peruvian Data via Public APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to Peru, such as holidays, economic indicators, and international demographic and geopolitical indicators. Additionally, the package includes curated datasets focused on Peru, covering topics such as administrative divisions, electoral data, demographics, biodiversity and educational classifications. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' <https://date.nager.at/Api>, '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/peruapis, https://lightbluetitan.github.io/peruapis/
BugReports: https://github.com/lightbluetitan/peruapis/issues
Encoding: UTF-8
LazyData: true
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: 2025-09-10 01:21:05 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-15 07:30:12 UTC

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New package lbaModel with initial version 0.2.9.2
Package: lbaModel
Title: The Linear Ballistic Accumulation Model
Version: 0.2.9.2
Date: 2025-09-10
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>
Description: Provides density, distribution and random generation functions for the Linear Ballistic Accumulation (LBA) model, a widely used choice response time model in cognitive psychology. The package supports model specifications, parameter estimation, and likelihood computation, facilitating simulation and statistical inference for LBA-based experiments. For details on the LBA model, see Brown and Heathcote (2008) <doi:10.1016/j.cogpsych.2007.12.002>.
License: GPL (>= 2)
Imports: ggdmcPrior, ggdmcModel, Rcpp (>= 1.0.7), methods
Depends: R (>= 3.3.0)
LinkingTo: Rcpp (>= 1.0.7), RcppArmadillo (>= 0.10.7.5.0), ggdmcHeaders
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-09-10 06:05:21 UTC; yslin
Author: Yi-Shin Lin [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-15 07:30:07 UTC

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New package ineapir with initial version 0.2.5
Package: ineapir
Title: Obtaining Data Published by the National Statistics Institute
Version: 0.2.5
Description: Get open statistical data and metadata disseminated by the National Statistics Institute of Spain (INE). The functions return data frames with the requested information thanks to calls to the 'INE' API <https://www.ine.es/dyngs/DAB/index.htm?cid=1100>.
License: EUPL (== 1.2)
Encoding: UTF-8
Imports: httr, jsonlite
URL: https://github.com/es-ine/ineapir, https://es-ine.github.io/ineapir/
BugReports: https://github.com/es-ine/ineapir/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-10 07:21:29 UTC; U851427
Author: David Crespo [aut, cre], National Statistics Institute, INE [cph]
Maintainer: David Crespo <david.crespo.roces@ine.es>
Repository: CRAN
Date/Publication: 2025-09-15 07:40:02 UTC

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Sun, 14 Sep 2025

New package SurvGME with initial version 0.1.0
Package: SurvGME
Title: Analysis of Survival Data under Graphical and Measurement Error Models
Version: 0.1.0
Description: The estimation method proposed by Chen and Yi (2021) <doi:10.1111/biom.13331> is extended to the analysis of survival data, accommodating commonly used survival models while accounting for measurement error and network structures among covariates.
License: GPL-3
Encoding: UTF-8
Imports: MASS, ncvreg, glmnet, survival, ahaz, GGally, network, sna, scales
NeedsCompilation: no
Packaged: 2025-09-09 18:50:00 UTC; Li-Pang Chen
Author: Li-Pang Chen [aut, cre], Grace Y. Yi [aut]
Maintainer: Li-Pang Chen <lchen723@nccu.edu.tw>
Repository: CRAN
Date/Publication: 2025-09-14 16:20:14 UTC

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New package SdeaR with initial version 1.0.0
Package: SdeaR
Title: Stochastic Data Envelopment Analysis
Version: 1.0.0
Maintainer: Vicente Bolos <vicente.bolos@uv.es>
Description: Set of functions for Stochastic Data Envelopment Analysis. Chance constrained versions of radial, directional and additive DEA models are implemented, as long as super-efficiency models. See: Cooper, W.W.; Deng, H.; Huang, Z.; Li, S.X. (2002). <doi:10.1057/palgrave.jors.2601433>, Bolós, V.J.; Benítez, R.; Coll-Serrano, V. (2024) <doi:10.1016/j.orp.2024.100307>.
License: GPL
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: optiSolve, deaR
NeedsCompilation: no
Packaged: 2025-09-09 15:23:51 UTC; Vicente
Author: Vicente Bolos [aut, cre], Vicente Coll-Serrano [aut], Rafael Benitez Suarez [aut]
Repository: CRAN
Date/Publication: 2025-09-14 16:10:08 UTC

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New package pregnancy with initial version 0.1.1
Package: pregnancy
Title: Calculate and Track Dates and Medications During Pregnancy
Version: 0.1.1
Description: Provides functionality for calculating pregnancy-related dates and tracking medications during pregnancy and fertility treatment. Calculates due dates from various starting points including last menstrual period and IVF (In Vitro Fertilisation) transfer dates, determines pregnancy progress on any given date, and identifies when specific pregnancy weeks are reached. Includes medication tracking capabilities for individuals undergoing fertility treatment or during pregnancy, allowing users to monitor remaining doses and quantities needed over specified time periods. Designed for those tracking their own pregnancies or supporting partners through the process, making use of options to personalise output messages. For details on due date calculations, see <https://www.acog.org/clinical/clinical-guidance/committee-opinion/articles/2017/05/methods-for-estimating-the-due-date>.
License: MIT + file LICENSE
URL: https://ellakaye.github.io/pregnancy/, https://github.com/EllaKaye/pregnancy
BugReports: https://github.com/EllaKaye/pregnancy/issues
Encoding: UTF-8
LazyData: true
Imports: anytime, cli, dplyr, lubridate, rlang
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), withr
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-09 15:39:17 UTC; u2175871
Author: Ella Kaye [aut, cre, cph]
Maintainer: Ella Kaye <ella.kaye@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-14 16:10:02 UTC

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New package PnT with initial version 0.1.0
Package: PnT
Title: Peak Finder
Version: 0.1.0
Description: This program contains a function to find the peaks and troughs of a data set. It filters the set of peaks to remove noise based on the expected height and expected slope of a peak. Peaks that are too short (caused by random noise), or too shallow (part of the background data) are filtered out.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: dplyr, magrittr, rlang
Suggests: knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-09 21:05:33 UTC; peterpitfield
Author: Peter Pitfield [aut, cre]
Maintainer: Peter Pitfield <pitfieldp@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-14 16:30:07 UTC

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New package MAFLD with initial version 3.0.0
Package: MAFLD
Title: Diagnosis of Metabolic Dysfunction Associated Fatty Liver Disease
Version: 3.0.0
Description: The latest guidelines proposed by International Expert Consensus are used for the clinical diagnosis of Metabolic Associated Fatty Liver Disease (MAFLD). The new definition takes hepatic steatosis (determined by elastography or histology or biomarker-based fatty liver index) as a major criterion. In addition, race, gender, body mass index (BMI), waist circumference (WC), fasting plasma glucose (FPG), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDLC), homeostatic model assessment of insulin resistance (HOMAIR), high sensitive c-reactive protein (HsCRP) for the diagnosis of MAFLD. Each parameter has to be interpreted based on the proposed cut-offs, making the diagnosis slightly complex and error-prone. This package is developed by incorporating the latest international expert consensus guidelines, and it will aid in the easy and quick diagnosis of MAFLD based on FibroScan in busy healthcare settings and also for [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/jagadishramasamy/mafld
BugReports: https://github.com/jagadishramasamy/mafld/issues
Suggests: knitr, rmarkdown, testthat
Imports: dplyr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-09-09 15:43:27 UTC; jagadish
Author: Jagadish Ramasamy [aut, cre]
Maintainer: Jagadish Ramasamy <iamjagankmr@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-14 16:10:13 UTC

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New package EvalTest with initial version 1.0.2
Package: EvalTest
Title: A 'shiny' App to Evaluate Diagnostic Tests Performance
Version: 1.0.2
Maintainer: Nassim AYAD <nassim.ayad.ph@gmail.com>
Description: Evaluate diagnostic test performance using data from laboratory or diagnostic research. It supports both binary and continuous test variables. It allows users to compute key performance indicators and visualize Receiver Operating Characteristic (ROC) curves, determine optimal cut-off thresholds, display confusion matrix, and export publication-ready plot. It aims to facilitate the application of statistical methods in diagnostic test evaluation by healthcare professionals. The methodology used to compute the performance indicators follows the overview described by Habibzadeh (2025) <doi:10.11613/BM.2025.010101>. Thanks to 'shiny' package.
Depends: R (>= 4.2.1)
Imports: DT, ggplot2, ggpubr, openxlsx, pROC, readxl, shiny, shinydashboard, stats, binom
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-09 19:58:34 UTC; maison
Author: Nassim AYAD [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-14 16:20:19 UTC

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New package epitraxr with initial version 0.5.0
Package: epitraxr
Title: Manipulate 'EpiTrax' Data and Generate Reports
Version: 0.5.0
Description: A fast, flexible tool for generating disease surveillance reports from data exported from 'EpiTrax', a central repository for epidemiological data used by public health officials. It provides functions to manipulate 'EpiTrax' datasets, tailor reports to internal or public use, and export reports in CSV, Excel 'xlsx', or PDF formats.
License: MIT + file LICENSE
URL: https://epiforesite.github.io/epitraxr/, https://github.com/EpiForeSITE/epitraxr
BugReports: https://github.com/EpiForeSITE/epitraxr/issues
Depends: R (>= 4.1.0)
Imports: lubridate, stats, utils, writexl, yaml
Suggests: DT, kableExtra, knitr, readxl, rmarkdown, shiny, shinyjs, stringr, tinytest
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-09 20:14:40 UTC; runner
Author: Andrew Pulsipher [aut, cre] , Nate Lanza [aut, ctb], Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd]
Maintainer: Andrew Pulsipher <pulsipher.a@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-14 16:20:02 UTC

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New package DUToolkit with initial version 1.0.0
Package: DUToolkit
Title: Visualizing and Quantifying Decision Uncertainty
Version: 1.0.0
Description: A suite of tools to help modelers and decision-makers effectively interpret and communicate decision risk when evaluating multiple policy options. It uses model outputs from uncertainty analysis for baseline scenarios and policy alternatives to generate visual representations of uncertainty and quantitative measures for assessing associated risks. For more details see <https://dut.ihe.ca/>.
License: GPL (>= 2)
Encoding: UTF-8
Suggests: DT, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
LazyDataCompression: xz
Imports: ggdist, ggplot2, ggtext, rlang, scales, stats
NeedsCompilation: no
Packaged: 2025-09-09 15:47:02 UTC; mwiggins
Author: Megan Wiggins [aut, cre] , Marie Betsy Varughese [aut] , Ellen Rafferty [aut] , Sasha van Katwyk [aut] , Christopher McCabe [aut] , Jeff Round [aut] , Erin Kirwin [aut] , Institute of Health Economics [cph, aut], Canadian Network for Modelling Infect [...truncated...]
Maintainer: Megan Wiggins <mwiggins@ihe.ca>
Repository: CRAN
Date/Publication: 2025-09-14 16:10:18 UTC

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New package bddkR with initial version 0.1.1
Package: bddkR
Title: Gathering Monthly Banking Sector Data from BDDK of Turkey
Version: 0.1.1
Maintainer: Ozancan Ozdemir <ozancanozdemir@gmail.com>
Description: Fetches monthly financial tables and banking sector data published on the official website of the Banking Regulation and Supervision Agency of Turkey and also enables you to save it as an Excel file. It is a R implementation of the Python package <https://pypi.org/project/bddkdata/>.
License: MIT + file LICENSE
URL: https://github.com/ozancanozdemir/bddkR
BugReports: https://github.com/ozancanozdemir/bddkR/issues
Depends: R (>= 4.0)
Imports: httr, jsonlite, dplyr, writexl, lubridate
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-09 20:47:36 UTC; ozancanozdemir
Author: Ozancan Ozdemir [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-14 16:30:02 UTC

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New package admiralneuro with initial version 0.1.0
Package: admiralneuro
Title: Neuroscience Extension Package for ADaM in 'R' Asset Library
Version: 0.1.0
Description: Programming neuroscience Clinical Data Standards Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>). This package extends the 'admiral' package.
License: Apache License (>= 2)
URL: https://pharmaverse.github.io/admiralneuro/, https://github.com/pharmaverse/admiralneuro
Depends: R (>= 4.1)
Imports: admiral (>= 1.2.0), admiraldev (>= 1.2.0), cli (>= 3.6.2), dplyr (>= 1.0.5), hms (>= 0.5.3), lifecycle (>= 0.1.0), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), rlang (>= 0.4.4), stringr (>= 1.4.0), tibble (>= 3.2.1), tidyr (>= 1.0.2), tidyselect (>= 1.1.0)
Suggests: diffdf, DT, htmltools, knitr, metatools, methods, pharmaversesdtm (>= 1.0.0), reactable, readxl, rmarkdown, testthat (>= 3.0.0),
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-09 16:42:48 UTC; c085541
Author: Jian Wang [aut, cre] , Miles Almond [aut] , Xiao Chen [aut] , Fanny Gautier [aut] , Gayatri G. [aut], Meilin Jiang [aut] , Leena Khatri [aut] , Edoardo Mancini [aut] , Eric Nantz [aut], Lina Patil [aut], Chris Pelentrides [aut], Eli Lilly and Company [...truncated...]
Maintainer: Jian Wang <wang_jian_wj@lilly.com>
Repository: CRAN
Date/Publication: 2025-09-14 16:20:08 UTC

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New package TailID with initial version 1.0.0
Package: TailID
Title: Detect Sensitive Points in the Tail
Version: 1.0.0
Description: The goal of 'TailID' is to detect sensitive points in the tail of a dataset using techniques from Extreme Value Theory (EVT). It utilizes the Generalized Pareto Distribution (GPD) for assessing tail behavior and detecting inconsistent points with the Identical Distribution hypothesis of the tail. For more details see Manau (2025)<doi:10.4230/LIPIcs.ECRTS.2025.20>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, grDevices, ismev, scales
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-09 10:43:25 UTC; bmanau
Author: Blau Manau [aut, cre]
Maintainer: Blau Manau <blau.manau@bsc.es>
Repository: CRAN
Date/Publication: 2025-09-14 16:00:02 UTC

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New package bdf3 with initial version 0.1.1
Package: bdf3
Title: Efficient Block Designs for 3-Level Factorial Experiments in Block Size 3
Version: 0.1.1
Description: Provides functions to construct efficient block designs for 3-level factorial experiments in block size 3. The designs ensure the estimation of all main effects and two-factor interactions in minimum number of replications. For more details, see Dey and Mukerjee (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
Imports: dplyr, stats
Depends: R (>= 3.6)
NeedsCompilation: no
Packaged: 2025-09-09 08:48:46 UTC; sunil
Author: Sunil Kumar Yadav [aut], Sukanta Dash [aut, cre]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-14 15:50:02 UTC

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Thu, 11 Sep 2025

New package Slick with initial version 1.0.0
Package: Slick
Title: Interactive Visualization of MSE Results
Version: 1.0.0
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>
Description: A framework for visualizing and exploring results of a Management Strategy Evaluation (MSE). The publication quality figures and tables can be developed directly from the R console, or interactively explored with the 'Slick' App. For more details, see the `Slick` website <https://slick.bluematterscience.com>.
URL: https://slick.bluematterscience.com/, https://github.com/Blue-Matter/Slick
License: GPL-2
Depends: R (>= 4.1.0)
Imports: cli, dplyr, DT, ggplot2, ggrepel, golem, graphics, grDevices, methods, scales, shiny, stats, tibble, utils
Suggests: bookdown, colourpicker, colorspace, cowplot, esquisse, flextable, fresh, httr, kableExtra, knitr, MSEtool, openMSE, RColorBrewer, shiny.i18n, shinyalert, shinyBS, shinycssloaders, shinydashboard, shinydashboardPlus, shinyhelper, shinyjs, shinyWidgets, rmarkdown, testthat (>= 3.0.0), waiter
Encoding: UTF-8
BugReports: https://github.com/Blue-Matter/Slick/issues
NeedsCompilation: no
Packaged: 2025-09-09 05:16:57 UTC; Adrian
Author: Adrian Hordyk [aut, cre], Tom Carruthers [aut], Quang Huynh [aut], Shana Miller [aut]
Repository: CRAN
Date/Publication: 2025-09-11 09:20:18 UTC

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New package rsamplr with initial version 0.1.1
Package: rsamplr
Title: Sampling Algorithms and Spatially Balanced Sampling
Version: 0.1.1
Description: Fast tools for unequal probability sampling in multi-dimensional spaces, implemented in Rust for high performance. The package offers a wide range of methods, including Sampford (Sampford, 1967, <doi:10.1093/biomet/54.3-4.499>) and correlated Poisson sampling (Bondesson and Thorburn, 2008, <doi:10.1111/j.1467-9469.2008.00596.x>), pivotal sampling (Deville and Tillé, 1998, <doi:10.1093/biomet/91.4.893>), and balanced sampling such as the cube method (Deville and Tillé, 2004, <doi:10.1093/biomet/91.4.893>) to ensure auxiliary totals are respected. Spatially balanced approaches, including the local pivotal method (Grafström et al., 2012, <doi:10.1111/j.1541-0420.2011.01699.x>), spatially correlated Poisson sampling (Grafström, 2012, <doi:10.1016/j.jspi.2011.07.003>), and locally correlated Poisson sampling (Prentius, 2024, <doi:10.1002/env.2832>), provide efficient designs when the target variable is linked to auxiliary information.
URL: https://www.envisim.se/, https://github.com/envisim/rust-samplr/
BugReports: https://github.com/envisim/rust-samplr/issues
License: AGPL-3
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2)
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.75.0
NeedsCompilation: yes
Packaged: 2025-09-09 07:31:24 UTC; wpmg
Author: Wilmer Prentius [aut, cre] , Anton Grafstroem [ctb] , Authors of the dependent Rust crates [aut]
Maintainer: Wilmer Prentius <wilmer.prentius@slu.se>
Repository: CRAN
Date/Publication: 2025-09-11 09:20:02 UTC

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New package REXoplanets with initial version 0.1.2
Package: REXoplanets
Title: Creates Interface with NASA 'Exoplanets Archive API'
Version: 0.1.2
Description: Provides a user-friendly interface to NASA 'Exoplanets Archive API' <https://exoplanetarchive.ipac.caltech.edu/>, enabling retrieval and analysis of exoplanetary and stellar data. Includes functions for querying, filtering, summarizing, and computing derived parameters from the 'Exoplanets' catalog.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: dplyr, checkmate, purrr, httr2, readr, utils, ggplot2, jsonlite, logger
Suggests: testthat (>= 3.0.0), roxygen2, lintr, devtools, spelling, shiny, shinyjs, bslib, shinytest2, bsicons, htmltools
URL: https://JKolomanski.github.io/REXoplanets/ https://github.com/JKolomanski/REXoplanets
BugReports: https://github.com/JKolomanski/REXoplanets/issues
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-08 21:40:22 UTC; yasha
Author: Jakub Kolomanski [cre, aut], Mateusz Kolomanski [aut]
Maintainer: Jakub Kolomanski <xqubula@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-11 09:10:02 UTC

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New package ivolcano with initial version 0.0.1
Package: ivolcano
Title: Interactive Volcano Plot
Version: 0.0.1
Description: Generate interactive volcano plots for exploring gene expression data. Built with 'ggplot2', the plots are rendered interactive using 'ggiraph', enabling users to hover over points to display detailed information or click to trigger custom actions.
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, ggiraph, ggrepel, rlang
Suggests: quarto, yulab.utils
VignetteBuilder: quarto
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-09 06:56:20 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-11 09:20:07 UTC

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New package ABCDscores with initial version 6.0.1
Package: ABCDscores
Title: Summary Scores of the Adolescent Brain Cognitive Development (ABCD) Study
Description: Provides functions to compute summary scores (besides proprietary ones) reported in the tabulated data resource that is released by the Adolescent Brain Cognitive Development (ABCD) study. Feldstein Ewing and Luciana (2018) <https://www.sciencedirect.com/journal/developmental-cognitive-neuroscience/vol/32>.
URL: https://software.nbdc-datahub.org/ABCDscores/
Version: 6.0.1
Depends: R (>= 4.3.0)
Imports: chk, cli, dplyr, glue, lubridate, magrittr, purrr, rlang, stringr, tibble, tidyr, stats, utils
Suggests: arrow, rmarkdown, roxyglobals, testthat (>= 3.0.0), knitr, reactable, readr, usethis
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-08 19:53:56 UTC; lz
Author: Janosch Linkersdoerfer [aut, cre] , Le Zhang [aut] , Olivier Celhay [aut] , Biplabendu Das [aut] , Sammy Berman [aut] , Laura Ziemer [aut]
Maintainer: Janosch Linkersdoerfer <dairc.service@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-11 09:00:16 UTC

More information about ABCDscores at CRAN
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New package workspace with initial version 0.1.5
Package: workspace
Title: Manage Collections of Datasets and Objects
Version: 0.1.5
Description: Create, store, read and manage structured collections of datasets and other objects using a 'workspace', then bundle it into a compressed archive. Using open and interoperable formats makes it possible to exchange bundled data from 'R' to other languages such as 'Python' or 'Julia'. Multiple formats are supported 'Parquet', 'JSON', 'yaml', spatial data and raster data are supported.
License: MIT + file LICENSE
BugReports: https://github.com/ardata-fr/workspace/issues
Imports: arrow, cli, dplyr, rlang, stringi, tibble, tools, utils, yaml, zip
Suggests: sf, terra, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-08 12:54:38 UTC; EliDaniels
Author: Eli Daniels [aut, cre], David Gohel [aut], ArData [cph, fnd]
Maintainer: Eli Daniels <eli.daniels@ardata.fr>
Repository: CRAN
Date/Publication: 2025-09-11 07:20:02 UTC

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New package factorH with initial version 0.4.0
Package: factorH
Title: Multifactor Nonparametric Rank-Based ANOVA with Post Hoc Tests
Version: 0.4.0
Description: Multifactor nonparametric analysis of variance based on ranks. Builds on the Kruskal-Wallis H test and its 2x2 Scheirer-Ray-Hare extension to handle any factorial designs. Provides effect sizes, Dunn-Bonferroni pairwise-comparison matrices, and simple-effects analyses. Tailored for psychology and the social sciences, with beginner-friendly R syntax and outputs that can be dropped into journal reports. Includes helpers to export tab-separated results and compact tables of descriptive statistics (to APA-style reports).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: rcompanion, FSA, car, dplyr, stats, utils, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, haven
VignetteBuilder: knitr
Contact: tomasz.rak@upjp2.edu.pl
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-08 06:01:43 UTC; PC
Author: Tomasz Rak [aut, cre], Szymon Wrzesniowski [aut]
Maintainer: Tomasz Rak <tomasz.rak@upjp2.edu.pl>
Repository: CRAN
Date/Publication: 2025-09-11 06:50:02 UTC

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Wed, 10 Sep 2025

New package camelsCL with initial version 0.1-10
Package: camelsCL
Title: Easy Handling of the CAMELS-CL Dataset
Version: 0.1-10
Maintainer: Hector Garces-Figueroa <hegarcesf@gmail.com>
Description: Download and handle spatial and temporal data from the CAMELS-CL dataset (Catchment Attributes and Meteorology for Large Sample Studies, Chile) <https://camels.cr2.cl/>, developed by Alvarez-Garreton et al. (2018) <doi:10.5194/hess-22-5817-2018>. The package does not generate new data, it only facilitates direct access to the original dataset for hydrological analyses.
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: httr, zoo (>= 1.7-2), hydroTSM (>= 0.5-0), terra (>= 1.7.78)
Suggests: rmarkdown
URL: https://gitlab.com/hgarcesf/camelsCL
MailingList: https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
BugReports: https://gitlab.com/hgarcesf/camelsCL/-/issues
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2025-09-07 01:48:11 UTC; hector
Author: Hector Garces-Figueroa [aut, cph, cre] , Mauricio Zambrano-Bigiarini [aut, cph]
Date/Publication: 2025-09-10 09:10:02 UTC

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New package SurprisalAnalysis with initial version 0.2
Package: SurprisalAnalysis
Title: Information Theoretic Analysis of Gene Expression Data
Version: 0.2
Description: Implements Surprisal analysis for gene expression data such as RNA-seq or microarray experiments. Surprisal analysis is an information-theoretic method that decomposes gene expression data into a baseline state and constraint-associated deviations, capturing coordinated gene expression patterns under different biological conditions. References: Kravchenko-Balasha N. et al. (2014) <doi:10.1371/journal.pone.0108549>. Zadran S. et al. (2014) <doi:10.1073/pnas.1414714111>. Su Y. et al. (2019) <doi:10.1371/journal.pcbi.1007034>. Bogaert K. A. et al. (2018) <doi:10.1371/journal.pone.0195142>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, pheatmap, peakRAM, data.table
VignetteBuilder: knitr
Imports: tidyr, dplyr, matlib, org.Mm.eg.db, org.Hs.eg.db, clusterProfiler, AnnotationDbi, tidyverse, shiny, ggplot2, latex2exp, shinythemes, shinyWidgets, shinyjs, shinycssloaders, patchwork, DT, httpuv
NeedsCompilation: no
Packaged: 2025-09-05 19:02:34 UTC; annic
Author: Annice Najafi [aut, cre]
Maintainer: Annice Najafi <annicenajafi27@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-10 08:30:13 UTC

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New package sparseGFM with initial version 0.1.0
Package: sparseGFM
Title: Sparse Generalized Factor Models with Multiple Penalty Functions
Version: 0.1.0
Description: Implements sparse generalized factor models (sparseGFM) for dimension reduction and variable selection in high-dimensional data with automatic adaptation to weak factor scenarios. The package supports multiple data types (continuous, count, binary) through generalized linear model frameworks and handles missing values automatically. It provides 12 different penalty functions including Least Absolute Shrinkage and Selection Operator (Lasso), adaptive Lasso, Smoothly Clipped Absolute Deviation (SCAD), Minimax Concave Penalty (MCP), group Lasso, and their adaptive versions for inducing row-wise sparsity in factor loadings. Key features include cross-validation for regularization parameter selection using Sparsity Information Criterion (SIC), automatic determination of the number of factors via multiple information criteria, and specialized algorithms for row-sparse loading structures. The methodology employs alternating minimization with Singular Value Decomposition (SVD)-based identifiab [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, GFM, MASS, irlba
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/zjwang1013/sparseGFM
BugReports: https://github.com/zjwang1013/sparseGFM/issues
NeedsCompilation: no
Packaged: 2025-09-05 16:12:02 UTC; clswt-wangzhijing
Author: Zhijing Wang [aut, cre]
Maintainer: Zhijing Wang <wangzhijing@sjtu.edu.cn>
Repository: CRAN
Date/Publication: 2025-09-10 08:30:02 UTC

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New package NBDCtools with initial version 1.0.1
Package: NBDCtools
Title: National Institutes of Health Brain Development Cohorts Data Hub Tools
Description: A suite of functions to work with data from the National Institutes of Health Brain Development Cohorts Data Hub. The package provides tools to create, clean, process, and filter datasets and associated metadata. These utilities are intended to simplify reproducible data-preparation for future research.
URL: https://software.nbdc-datahub.org/NBDCtools/
Version: 1.0.1
Depends: R (>= 4.3.0)
Imports: arrow, chk, cli, dplyr, glue, magrittr, purrr, readr, stringr, sjlabelled, jsonlite, hms, tidyr, rlang, utils, tibble, stats, sjmisc, haven
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), usethis, knitr, rmarkdown, naniar
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-05 23:14:46 UTC; lz
Author: Janosch Linkersdoerfer [aut, cre] , Le Zhang [aut]
Maintainer: Janosch Linkersdoerfer <dairc.service@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-10 08:40:02 UTC

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New package firesafety with initial version 0.1.0
Package: firesafety
Title: A Collection of Security Related Plugins for 'fiery'
Version: 0.1.0
Description: Provide a range of plugins for 'fiery' web servers that handle different aspects of server-side web security. Be aware that security cannot be handled blindly, and even though these plugins will raise the security of your server you should not build critical infrastructure without the aid of a security expert.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/thomasp85/firesafety
BugReports: https://github.com/thomasp85/firesafety/issues
Imports: cli, R6, rlang (>= 1.1.0), routr (>= 1.0.0)
Suggests: fiery (>= 1.3.0), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-05 15:10:13 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2025-09-10 08:20:02 UTC

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New package econdataverse with initial version 0.1.0
Package: econdataverse
Title: Easily Load and Install the 'EconDataverse'
Version: 0.1.0
Description: The 'EconDataverse' is a universe of open-source packages to work seamlessly with economic data. This package is designed to make it easy to install and load multiple 'EconDataverse' packages in a single step. Learn more about the 'EconDataverse' at <https://www.econdataverse.org>.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: cli (>= 3.6.1), econid, econtools, imfweo, oecdoda, owidapi, uisapi, wbids, wbwdi
Suggests: testthat (>= 3.0.0)
URL: https://github.com/tidy-intelligence/r-econdataverse, https://tidy-intelligence.github.io/r-econdataverse/
BugReports: https://github.com/tidy-intelligence/r-econdataverse/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-06 08:03:11 UTC; krise
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2025-09-10 08:50:13 UTC

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New package ConSciR with initial version 0.2.0
Package: ConSciR
Title: Tools for Conservation Science
Version: 0.2.0
Maintainer: Bhavesh Shah <bhaveshshah01@gmail.com>
Description: Provides data science tools for conservation science, including methods for environmental analysis applications, humidity calculations, sustainability metrics, engineering calculations, and data visualisation. Supports conservators, scientists, and engineers working with cultural heritage data. The package was motivated by the developing tools and frameworks outlined in Cosaert and Beltran et al. (2022) "Tools for the Analysis of Collection Environments" <https://www.getty.edu/conservation/publications_resources/pdf_publications/tools_for_the_analysis_of_collection_environments.html>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://bhavshah01.github.io/ConSciR/, https://github.com/BhavShah01/ConSciR
BugReports: https://github.com/BhavShah01/ConSciR/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), bslib
Imports: stats, tools, tidyr, readr, readxl, stringr, rlang, shiny, ggplot2, dplyr, lubridate, padr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-09-06 00:05:19 UTC; bhave
Author: Bhavesh Shah [aut, cre, cph] , Annelies Cosaert [aut] , Vincent Beltran [aut], Emily R Long [ctb] , Marcin Zygmunt [ctb]
Repository: CRAN
Date/Publication: 2025-09-10 08:50:24 UTC

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New package CepReg with initial version 0.1.0
Package: CepReg
Title: A Cepstral Model for Covariate-Dependent Time Series
Version: 0.1.0
Description: Modeling associations between covariates and power spectra of replicated time series using a cepstral-based semiparametric framework. Implements a fast two-stage estimation procedure via Whittle likelihood and multivariate regression.The methodology is based on Li and Dong (2025) <doi:10.1080/10618600.2025.2473936>.
Imports: MASS, rrpack, Renvlp, psych
License: MIT + file LICENSE
Encoding: UTF-8
Author: Qi Xia [aut, cre], Zeda Li [aut, ctb]
Maintainer: Qi Xia <xiaqi1010@gmail.com>
NeedsCompilation: no
Packaged: 2025-09-06 02:32:13 UTC; qi70
Repository: CRAN
Date/Publication: 2025-09-10 08:50:30 UTC

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New package apa7 with initial version 0.1.0
Package: apa7
Title: Facilitate Writing Documents in American Psychological Association Style, Seventh Edition
Version: 0.1.0
Description: Create American Psychological Association Style, Seventh Edition documents. Format numbers and text consistent with APA style. Create tables that comply with APA style by extending flextable functions.
License: CC0
URL: https://github.com/wjschne/apa7, https://wjschne.github.io/apa7/
BugReports: https://github.com/wjschne/apa7/issues
Depends: R (>= 4.1.0)
Imports: dplyr, effectsize, flextable, ftExtra, glue, parameters, performance, psych, purrr, rlang, S7, scales, shiny, signs, stringr, tibble, tidyr
Suggests: bsicons, bslib, cli, conflicted, forcats, ggplot2, knitr, quarto, R.utils, rclipboard, readr, rmarkdown, shinyWidgets, snakecase, spelling, testthat (>= 3.0.0), tidyselect, tippy, toastui, yaml
VignetteBuilder: knitr, quarto
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-05 18:05:39 UTC; renee
Author: W. Joel Schneider [aut, cre]
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-10 08:30:07 UTC

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New package robustT2 with initial version 0.1.0
Package: robustT2
Title: Robust Hotelling-Type T² Control Chart Based on the Dual STATIS Approach
Version: 0.1.0
Description: Implements a robust multivariate control-chart methodology for batch-based industrial processes with multiple correlated variables using the Dual STATIS (Structuration des Tableaux A Trois Indices de la Statistique) framework. A robust compromise covariance matrix is constructed from Phase I batches with the Minimum Covariance Determinant (MCD) estimator, and a Hotelling-type T² statistic is applied for anomaly detection in Phase II. The package includes functions to simulate clean and contaminated batches, to compute both robust and classical Hotelling T² control charts, to visualize results via robust biplots, and to launch an interactive 'shiny' dashboard. An internal dataset (pharma_data) is provided for reproducibility. See Lavit, Escoufier, Sabatier and Traissac (1994) <doi:10.1016/0167-9473(94)90134-1> for the original STATIS methodology, and Rousseeuw and Van Driessen (1999) <doi:10.1080/00401706.1999.10485670> for the MCD estimator.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, MASS, ggplot2, rrcov, shiny, ggrepel, forcats, Matrix
Depends: R (>= 3.5)
URL: https://github.com/SergioDanielFG/robustT2
BugReports: https://github.com/SergioDanielFG/robustT2/issues
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-05 12:19:03 UTC; sergi
Author: Sergio Daniel Frutos Galarza [aut, cre] , Omar Ruiz Barzola [aut] , Purificacion Galindo Villardon [aut]
Maintainer: Sergio Daniel Frutos Galarza <sergio_dan88@hotmail.com>
Repository: CRAN
Date/Publication: 2025-09-10 08:00:02 UTC

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New package Rmfrac with initial version 0.1.1
Package: Rmfrac
Title: Simulation and Statistical Analysis of Multifractional Processes
Version: 0.1.1
Description: Simulation of several fractional and multifractional processes. Includes Brownian and fractional Brownian motions, bridges and Gaussian Haar-based multifractional processes (GHBMP). Implements the methods from Ayache, Olenko and Samarakoon (2025) <doi:10.48550/arXiv.2503.07286> for simulation of GHBMP. Estimation of Hurst functions and local fractal dimension. Clustering realisations based on the Hurst functions. Several functions to estimate and plot geometric statistics of the processes and time series. Provides a 'shiny' application for interactive use of the functions from the package.
License: GPL-3
Encoding: UTF-8
Imports: parallel, parallelly, ggplot2(>= 3.5.0), zoo, matrixStats, proxy, rlang, stats, foreach, doParallel, plotly, shiny, graphics, shinycssloaders, fields, utils
URL: https://github.com/Nemini-S/Rmfrac
BugReports: https://github.com/Nemini-S/Rmfrac/issues
Maintainer: Nemini Samarakoon <neminisamarakoon95@gmail.com>
NeedsCompilation: no
Packaged: 2025-09-04 23:07:36 UTC; 21381851
Author: Andriy Olenko [aut], Nemini Samarakoon [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-10 07:30:07 UTC

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New package otelsdk with initial version 0.2.0
Package: otelsdk
Title: 'R' 'SDK' and Exporters for 'OpenTelemetry'
Version: 0.2.0
Description: 'OpenTelemetry' is a collection of tools, 'APIs', and 'SDKs' used to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) for analysis in order to understand your software's performance and behavior. This package contains the 'OpenTelemetry' 'SDK', and exporters. Use this package to export traces, metrics, logs from instrumented 'R' code. Use the 'otel' package to instrument your 'R' code for 'OpenTelemetry'.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: cmake, protobuf-compiler, libprotobuf, libcurl, zlib, GNU make
Imports: otel, utils
Suggests: callr, cli, curl, gh, jsonlite, processx, ps, rlang, spelling, testthat (>= 3.0.0), webfakes, withr
URL: https://otelsdk.r-lib.org, https://github.com/r-lib/otelsdk
BugReports: https://github.com/r-lib/otelsdk/issues
NeedsCompilation: yes
Packaged: 2025-09-05 13:04:35 UTC; gaborcsardi
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , opentelemetry-cpp authors [ctb]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-10 08:00:06 UTC

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New package metagroup with initial version 1.0.2
Package: metagroup
Title: Meaningful Grouping of Studies in Meta-Analysis
Version: 1.0.2
Date: 2025-08-31
Author: Ahmed Abdelmageed [cre, aut]
Maintainer: Ahmed Abdelmageed <ahmedelsaeedmassad@gmail.com>
URL: https://github.com/asmpro7/metagroup/
Description: Performs meaningful subgrouping in a meta-analysis. This is a two-step process; first, use the iterative grouping functions (e.g., mgbin(), mgcont() ) to partition studies into statistically homogeneous clusters based on their effect size data. Second, use the meaning() function to analyze these new subgroups and understand their composition based on study-level characteristics (e.g., country, setting). This approach helps to uncover hidden structures in meta-analytic data and provide a deeper interpretation of heterogeneity.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, ggplot2, magrittr, meta, rlang
NeedsCompilation: no
Packaged: 2025-09-05 13:15:53 UTC; ASM PRO
Repository: CRAN
Date/Publication: 2025-09-10 08:00:13 UTC

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New package iPRSue with initial version 1.0.0
Package: iPRSue
Title: Individual Polygenic Risk Score Uncertainty Estimation
Version: 1.0.0
Description: Provides tools for estimating uncertainty in individual polygenic risk scores (PRSs) using both sampling-based and analytical methods, as well as the Best Linear Unbiased Estimator (BLUE). These methods quantify variability in PRS estimates for both binary and quantitative traits. See Henderson (1975) <doi:10.2307/2529430> for more details.
URL: https://github.com/DoviniJ/iPRSue
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: data.table, bigstatsr, logistf, stats, utils
NeedsCompilation: no
Packaged: 2025-09-05 08:02:47 UTC; jaydy007
Author: Dovini Jayasinghe [aut, cre, cph], Hong Lee [aut, cph]
Maintainer: Dovini Jayasinghe <dovini.jayasinghe@mymail.unisa.edu.au>
Repository: CRAN
Date/Publication: 2025-09-10 07:30:02 UTC

More information about iPRSue at CRAN
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New package GPflexViz with initial version 1.0.0
Package: GPflexViz
Title: Graphical Visualizations Related to Genomic Prediction
Version: 1.0.0
Description: Provides flexible tools for the visualization of genomic data. Supports interactive and static plots tailored for presentations and publications, with customizable features like colors, themes, and annotations to align with specific analytical and presentation goals.
URL: https://github.com/DoviniJ/GPflexViz
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: cowplot, dplyr, ggforce, ggplot2, gridExtra, nortest, plotly, reshape2, stats, utils
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-05 08:19:35 UTC; jaydy007
Author: Dovini Jayasinghe [aut, cre, cph], Hong Lee [aut, cph]
Maintainer: Dovini Jayasinghe <dovini.jayasinghe@mymail.unisa.edu.au>
Repository: CRAN
Date/Publication: 2025-09-10 07:30:14 UTC

More information about GPflexViz at CRAN
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New package CovEsts with initial version 1.0.0
Package: CovEsts
Title: Nonparametric Estimators for Covariance Functions
Version: 1.0.0
Description: Several nonparametric estimators of autocovariance functions. Procedures for constructing their confidence regions by using bootstrap techniques. Methods to correct autocovariance estimators and several tools for analysing and comparing them. Supplementary functions, including kernel computations and discrete cosine Fourier transforms. For more details see Bilchouris and Olenko (2025) <doi:10.17713/ajs.v54i1.1975>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/AdamBilchouris/CovEsts
BugReports: https://github.com/AdamBilchouris/CovEsts/issues
NeedsCompilation: no
Packaged: 2025-09-05 06:40:37 UTC; Adam
Author: Adam Bilchouris [cre, aut] , Andriy Olenko [aut]
Maintainer: Adam Bilchouris <adam.bilchouris@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-10 07:30:19 UTC

More information about CovEsts at CRAN
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Tue, 09 Sep 2025

New package STCYP with initial version 1.0.0
Package: STCYP
Title: Spatio-Temporal Crop Yield Prediction
Version: 1.0.0
Description: Provides crop yield and meteorological data for Ontario, Canada. Includes functions for fitting and predicting data using spatio-temporal models, as well as tools for visualizing the results. The package builds upon existing R packages, including 'copula' (Hofert et al., 2025) <doi:10.32614/CRAN.package.copula>, and 'bsts' (Scott, 2024) <doi:10.32614/CRAN.package.bsts>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: bsts, copula, ggplot2, grDevices, rootSolve, stats
Depends: R (>= 4.0.0)
LazyData: true
LazyDataCompression: xz
Suggests: knitr, rmarkdown, testthat (>= 3.0.0),
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-04 20:18:48 UTC; liyongkun
Author: Marie Michaelides [aut], Melina Mailhot [aut], Yongkun Li [aut, cre]
Maintainer: Yongkun Li <yongkun.li@concordia.ca>
Repository: CRAN
Date/Publication: 2025-09-09 14:40:23 UTC

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New package sparsesurv with initial version 0.1.1
Package: sparsesurv
Title: Forecasting and Early Outbreak Detection for Sparse Count Data
Version: 0.1.1
Description: Functions for fitting, forecasting, and early detection of outbreaks in sparse surveillance count time series. Supports negative binomial (NB), self-exciting NB, generalise autoregressive moving average (GARMA) NB , zero-inflated NB (ZINB), self-exciting ZINB, generalise autoregressive moving average ZINB, and hurdle formulations. Climatic and environmental covariates can be included in the regression component and/or the zero-modified components. Includes outbreak-detection algorithms for NB, ZINB, and hurdle models, with utilities for prediction and diagnostics.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: R2jags, coda, stats
Suggests: testthat (>= 3.0.0), knitr, rjags, rmarkdown, ggplot2, reshape2
SystemRequirements: JAGS (>= 4.x)
URL: https://github.com/alexangelakis-ang/sparsesurv
BugReports: https://github.com/alexangelakis-ang/sparsesurv/issues
NeedsCompilation: no
Packaged: 2025-09-04 08:36:20 UTC; angeal
Author: Alexandros Angelakis [aut, cre], Bryan Nyawanda [aut], Penelope Vounatsou [aut]
Maintainer: Alexandros Angelakis <alexandros.angelakis@swisstph.ch>
Repository: CRAN
Date/Publication: 2025-09-09 14:10:02 UTC

More information about sparsesurv at CRAN
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New package RobustAdaptiveDecomposition with initial version 0.1.0
Package: RobustAdaptiveDecomposition
Title: Decomposes a Univariate Time Series into Subcomponents
Version: 0.1.0
Description: Provides a method to decompose a univariate time series into meaningful subcomponents for analysis and denoising.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-04 08:58:38 UTC; Dubai Computers
Author: Laiba Sultan Dar [aut, cre], Muhammad Aamir [aut], Muhammad Hamraz [aut]
Maintainer: Laiba Sultan Dar <laibasultan@awkum.edu.pk>
Repository: CRAN
Date/Publication: 2025-09-09 14:10:12 UTC

More information about RobustAdaptiveDecomposition at CRAN
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New package rjuliabugs with initial version 0.1.0
Package: rjuliabugs
Title: Interface to 'JuliaBUGS.jl' from R
Version: 0.1.0
Description: Provides an R interface to the 'JuliaBUGS.jl' package (<https://github.com/TuringLang/JuliaBUGS.jl>) for Bayesian inference using the BUGS modeling language. Allows R users to run models in Julia and return results as familiar R objects. Visualization and posterior analysis are supported via the 'bayesplot' and 'posterior' packages.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Julia (>= 1.10.8) with the following packages installed: 'JuliaBUGS.jl', 'LogDensityProblemsAD.jl', 'ReverseDiff.jl', 'AdvancedHMC.jl', 'AbstractMCMC.jl', 'LogDensityProblems.jl', 'MCMCChains.jl', 'RCall.jl', 'Suppressor.jl'.
Imports: coda, JuliaCall, posterior
Suggests: bayesplot, knitr, rmarkdown, gridExtra, rstan, nimble
URL: https://mateusmaiads.github.io/rjuliabugs/
BugReports: https://github.com/MateusMaiaDS/rjuliabugs/issues
NeedsCompilation: no
Packaged: 2025-09-04 17:17:07 UTC; mateusmaia
Author: Mateus Maia [aut, cre], Xianda Sun [aut], Robert Goudie [aut]
Maintainer: Mateus Maia <mateus.maiamarques@glasgow.ac.uk>
Repository: CRAN
Date/Publication: 2025-09-09 14:40:02 UTC

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New package ppwdeming with initial version 1.0.6
Package: ppwdeming
Version: 1.0.6
Date: 2025-09-03
Title: Precision Profile Weighted Deming Regression
Author: Douglas M. Hawkins [aut], Jessica J. Kraker [aut, cre]
Maintainer: Jessica J. Kraker <krakerjj@uwec.edu>
Depends: R (>= 3.6.0)
Suggests: testthat (>= 3.0.0)
Imports: stats
Description: Weighted Deming regression, also known as "errors-in-variable" regression, is applied with suitable weights. Weights are modeled via a precision profile; functions are provided for implementing it in both known and unknown precision profile situations. The package provides tools for precision profile weighted Deming (PWD) regression. It covers two settings – one where the precision profiles are known either from external studies or from adequate replication of the X and Y readings, and one in which there is a plausible functional form for the precision profiles but the exact function must be estimated from the (generally singlicate) readings. The function set includes tools for: estimated standard errors (via jackknifing); standardized-residual analysis function with regression diagnostic tools for normality, linearity and constant variance; and an outlier analysis identifying significant outliers for closer investigation. Further information on mathematical derivations and application [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-04 11:36:08 UTC; jjkra
Repository: CRAN
Date/Publication: 2025-09-09 14:20:02 UTC

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New package mogiw with initial version 0.1.0
Package: mogiw
Title: The Marshal–Olkin Generalized Inverse Weibull Distribution
Version: 0.1.0
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>
Description: Density, distribution function, quantile function, and random generation function based on Salem, H. M. (2019)<doi:10.5539/mas.v13n2p54>. In addition, a numerical method for maximum likelihood estimation is provided.
License: GPL-3
Language: en-US
Encoding: UTF-8
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-04 08:02:00 UTC; User
Author: Atchanut Rattanalertnusorn [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-09 14:10:07 UTC

More information about mogiw at CRAN
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New package memshare with initial version 1.0.1
Package: memshare
Title: Shared Memory Multithreading
Version: 1.0.1
Date: 2025-08-28
Description: This project extends 'R' with a mechanism for efficient parallel data access by utilizing 'C++' shared memory. Large data objects can be accessed and manipulated directly from 'R' without redundant copying, providing both speed and memory efficiency.
Maintainer: Michael Thrun <m.thrun@gmx.net>
LazyLoad: yes
LinkingTo: Rcpp
Imports: Rcpp (>= 1.0.14), parallel
Suggests: ScatterDensity (>= 0.1.1), DataVisualizations (>= 1.1.5), mpmi
SystemRequirements: C++17, GNU make
Depends: R (>= 4.3.0)
NeedsCompilation: yes
License: GPL-3
URL: https://www.iap-gmbh.de
Encoding: UTF-8
Packaged: 2025-09-04 17:12:44 UTC; MCT
Author: Julian Maerte [aut, ctr] , Romain Francois [ctb], Michael Thrun [aut, ths, rev, cph, cre]
Repository: CRAN
Date/Publication: 2025-09-09 14:30:02 UTC

More information about memshare at CRAN
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New package IndonesiAPIs with initial version 0.1.0
Package: IndonesiAPIs
Title: Access Indonesian Data via Public APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to Indonesia, such as holidays, economic indicators, and international demographic and geopolitical indicators. The package also includes a curated collection of open datasets focused on Indonesia, covering topics such as consumer prices, poverty probability, food prices by region, tourism destinations, and minimum wage statistics. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' <https://date.nager.at/Api>, '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/indonesiapis, https://lightbluetitan.github.io/indonesiapis/
BugReports: https://github.com/lightbluetitan/indonesiapis/issues
Encoding: UTF-8
LazyData: true
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: 2025-09-04 14:25:27 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-09 14:20:07 UTC

More information about IndonesiAPIs at CRAN
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New package clockplot with initial version 0.7.2
Package: clockplot
Title: Plot Event Times on a 24-Hour Clock
Version: 0.7.2
Description: Provides a novel visualization technique for plotting timestamped events on a 24-hour circular clock face. This is particularly useful for analyzing daily patterns, event clustering, and gaps in temporal data. The package also generalizes this approach to create cyclic charts for other periods, including weekly and monthly cycles, enabling effective event planning and pattern analysis across multiple time frames.
License: MIT + file LICENSE
Imports: dplyr, tidyr, tibble, ggplot2, hms
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mahmudstat/clockplot/
BugReports: https://github.com/mahmudstat/clockplot/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-04 18:10:16 UTC; mahmud
Author: Abdullah Al Mahmud [aut, cre, cph]
Maintainer: Abdullah Al Mahmud <almahmud.sbi@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-09 14:40:07 UTC

More information about clockplot at CRAN
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New package spantest with initial version 1.1-3
Package: spantest
Title: Mean-Variance Spanning Tests
Version: 1.1-3
Description: Provides a comprehensive suite of portfolio spanning tests for asset pricing, such as Huberman and Kandel (1987) <doi:10.1111/j.1540-6261.1987.tb03917.x>, Gibbons et al. (1989) <doi:10.2307/1913625>, Kempf and Memmel (2006) <doi:10.1007/BF03396737>, Pesaran and Yamagata (2024) <doi:10.1093/jjfinec/nbad002>, and Gungor and Luger (2016) <doi:10.1080/07350015.2015.1019510>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
URL: https://github.com/ArdiaD/spantest
BugReports: https://github.com/ArdiaD/spantest/issues
Suggests: rmarkdown, testthat (>= 3.0.0)
Imports: Rdpack, stats, utils
NeedsCompilation: no
Packaged: 2025-09-03 17:21:59 UTC; dardia
Author: David Ardia [aut, cre] , Benjamin Seguin [aut], Rosnel Sessinou [ctb], Richard Luger [ctb]
Maintainer: David Ardia <david.ardia.ch@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-09 13:40:02 UTC

More information about spantest at CRAN
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New package pmsesampling with initial version 0.1.1
Package: pmsesampling
Title: Sample Size Determination for Accurate Predictive Linear Regression
Version: 0.1.1
Description: Provides analytic and simulation tools to estimate the minimum sample size required for achieving a target prediction mean-squared error (PMSE) or a specified proportional PMSE reduction (pPMSEr) in linear regression models. Functions implement the criteria of Ma (2023) <https://digital.wpi.edu/downloads/0g354j58c>, support covariance-matrix handling, and include helpers for root-finding and diagnostic plotting.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Matrix, stats, rootSolve
Suggests: rmarkdown, testthat(>= 3.0.0)
BugReports: https://github.com/Chenaters/pmsesampling/issues
URL: https://github.com/Chenaters/pmsesampling
NeedsCompilation: no
Packaged: 2025-09-04 04:29:42 UTC; 12245
Author: Louis Chen [aut, cre], Zheyang Wu [aut, ths]
Maintainer: Louis Chen <chenaters@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-09 14:00:02 UTC

More information about pmsesampling at CRAN
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New package pdfcombiner with initial version 1.9.8
Package: pdfcombiner
Title: Graphical User Interface for Manipulating PDF and Image Files
Version: 1.9.8
Maintainer: Steve Choy <steve.choy@outlook.com>
Description: A 'shiny' app that supports merging of PDF and/or image files with page selection, removal, or rotation options. It is a fast, free, and secure alternative to commercial software or various online websites which require users to sign-up, and it avoids any potential risks associated with uploading files elsewhere.
License: MIT + file LICENSE
URL: https://github.com/stevechoy/pdfcombiner, https://lagom.shinyapps.io/pdfcombiner/
BugReports: https://github.com/stevechoy/pdfcombiner/issues
Encoding: UTF-8
Imports: shiny, pdftools, qpdf,
Suggests: bslib, rJava, staplr, testthat (>= 3.0.0), magick, officer, openxlsx, shinythemes
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-09-04 05:21:25 UTC; choysiuf
Author: Steve Choy [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-09-09 14:00:08 UTC

More information about pdfcombiner at CRAN
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New package optconerrf with initial version 1.0.0
Package: optconerrf
Title: Optimal Monotone Conditional Error Functions
Version: 1.0.0
Description: Design and analysis of confirmatory adaptive clinical trials using the optimal conditional error framework according to Brannath and Bauer (2004) <doi:10.1111/j.0006-341X.2004.00221.x>. An extension to the optimal conditional error function using interim estimates as described in Brannath and Dreher (2024) <doi:10.48550/arXiv.2402.00814> and functions to ensure that the resulting conditional error function is non-increasing are also available.
Imports: ggplot2, methods
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/morten-dreher/optconerrf
BugReports: https://github.com/morten-dreher/optconerrf/issues
NeedsCompilation: no
Packaged: 2025-09-03 19:51:20 UTC; Morten
Author: Morten Dreher [aut, cre], Werner Brannath [aut, cph] , Cornelia Ursula Kunz [ctb] , Johanna zur Verth [aut]
Maintainer: Morten Dreher <morten.dreher@outlook.de>
Repository: CRAN
Date/Publication: 2025-09-09 13:40:07 UTC

More information about optconerrf at CRAN
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New package missalpha with initial version 0.1.0
Package: missalpha
Title: Find Range of Cronbach Alpha with a Dataset Including Missing Data
Version: 0.1.0
Maintainer: Biying Zhou <biying.zhou@psu.edu>
Description: Provides functions to calculate the minimum and maximum possible values of Cronbach's alpha when item-level missing data are present. Cronbach's alpha (Cronbach, 1951 <doi:10.1007/BF02310555>) is one of the most widely used measures of internal consistency in the social, behavioral, and medical sciences (Bland & Altman, 1997 <doi:10.1136/bmj.314.7080.572>; Tavakol & Dennick, 2011 <doi:10.5116/ijme.4dfb.8dfd>). However, conventional implementations assume complete data, and listwise deletion is often applied when missingness occurs, which can lead to biased or overly optimistic reliability estimates (Enders, 2003 <doi:10.1037/1082-989X.8.3.322>). This package implements computational strategies including enumeration, Monte Carlo sampling, and optimization algorithms (e.g., Genetic Algorithm, Differential Evolution, Sequential Least Squares Programming) to obtain sharp lower and upper bounds of Cronbach's alpha under arbitrary missing data patterns. The ap [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 3.1.0),
Imports: GA, DEoptim, nloptr, stats,
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-03 21:09:11 UTC; zby15
Author: Feng Ji [aut], Biying Zhou [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-09 13:50:02 UTC

More information about missalpha at CRAN
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New package inshiny with initial version 0.1.0
Package: inshiny
Title: Compact Inline Widgets for 'shiny' Apps
Version: 0.1.0
Description: Provides a basic set of compact widgets for 'shiny' apps which occupy less space and can appear inline with surrounding text.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/nicholasdavies/inshiny, https://nicholasdavies.github.io/inshiny/
BugReports: https://github.com/nicholasdavies/inshiny/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: bslib, htmltools, rlang, shiny, stringr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-04 00:34:30 UTC; nick
Author: Nick Davies [aut, cre]
Maintainer: Nick Davies <nicholas.davies@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2025-09-09 14:00:13 UTC

More information about inshiny at CRAN
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New package ETDQualitizer with initial version 0.9.0
Package: ETDQualitizer
Title: Automated Eye Tracking Data Quality Determination for Screen-Based Eye Trackers
Version: 0.9.0
Maintainer: Diederick Niehorster <diederick_c.niehorster@humlab.lu.se>
Description: Compute common data quality metrics for accuracy, precision and data loss for screen-based eye trackers. Supports input data both in pixels on the screen and in degrees, output measures are (where appropriate) expressed as angles in degrees.
License: MIT + file LICENSE
URL: https://github.com/dcnieho/ETDQualitizer
BugReports: https://github.com/dcnieho/ETDQualitizer/issues
Encoding: UTF-8
Imports: R6, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-03 20:44:39 UTC; huml-dkn
Author: Diederick Niehorster [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-09-09 13:50:07 UTC

More information about ETDQualitizer at CRAN
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New package autotesteR with initial version 0.1.7
Package: autotesteR
Title: Automated Functions for Basic Statistical Tests
Version: 0.1.7
Description: Provides simple and intuitive functions for basic statistical analyses. Methods include the t-test (Student 1908 <doi:10.1093/biomet/6.1.1>), the Mann-Whitney U test (Mann and Whitney 1947 <doi:10.1214/aoms/1177730491>), Pearson's correlation (Pearson 1895 <doi:10.1098/rspl.1895.0041>), and analysis of variance (Fisher 1925, <doi:10.1007/978-1-4612-4380-9_5>). Functions are compatible with 'ggplot2' and 'dplyr'.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: car, crayon, dplyr, FSA, ggplot2, multcompView, nortest, stats, utils
NeedsCompilation: no
Packaged: 2025-09-04 01:34:44 UTC; Seu Computador
Author: Luiz Garcia [aut, cre]
Maintainer: Luiz Garcia <luiz.cardoso@ufpr.br>
Repository: CRAN
Date/Publication: 2025-09-09 14:00:17 UTC

More information about autotesteR at CRAN
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New package rFDP with initial version 0.1.1
Package: rFDP
Title: Resampling-Based False Discovery Proportion Control
Version: 0.1.1
Date: 2025-09-03
Maintainer: Jesse Hemerik <hemerik@ese.eur.nl>
Description: Methods for Resampling-based False Discovery Proportion control. A function is provided that provides simultaneous, multi-resolution False Discovery Exceedance (FDX) control as described in Hemerik (2025) <doi:10.48550/arXiv.2509.02376>.
License: GNU General Public License
Imports: methods
NeedsCompilation: no
Packaged: 2025-09-03 10:54:40 UTC; jessu
Author: Jesse Hemerik [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-09 13:00:02 UTC

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New package EQUALCompareImages with initial version 0.1.0
Package: EQUALCompareImages
Title: Comparison of Images for Researchers Without Coding Skills
Version: 0.1.0
Date: 2025-08-29
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>
Depends: cowplot, ggplot2, magick, knitr, zip
Imports: shinybusy
Description: Support functions for R-based "EQUALCompareImages - Compare similarity between and within images" shiny application which allow researchers without coding skills or expertise in image comparison algorithms to compare images. Gurusamy,K (2025)<doi:10.5281/zenodo.16994047>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://sites.google.com/view/equal-group/home
NeedsCompilation: no
Packaged: 2025-09-03 09:57:08 UTC; kurin
Repository: CRAN
Date/Publication: 2025-09-09 13:00:11 UTC

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New package eFCM with initial version 1.0
Package: eFCM
Title: Exponential Factor Copula Model
Version: 1.0
Maintainer: Mengran Li <m.li.3@research.gla.ac.uk>
Description: Implements the exponential Factor Copula Model (eFCM) of Castro-Camilo, D. and Huser, R. (2020) for spatial extremes, with tools for dependence estimation, tail inference, and visualization. The package supports likelihood-based inference, Gaussian process modeling via Matérn covariance functions, and bootstrap uncertainty quantification. See Castro-Camilo and Huser (2020) <doi:10.1080/01621459.2019.1647842>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp, nsRFA, ismev, fields, mnormt, numDeriv, pbmcapply, boot, progress
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
LazyData: false
Packaged: 2025-09-03 11:44:32 UTC; 2592713L
Author: Mengran Li [aut, cre], Daniela Castro-Camilo [aut]
Repository: CRAN
Date/Publication: 2025-09-09 13:00:06 UTC

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Mon, 08 Sep 2025

New package fastbioclim with initial version 0.2.1
Package: fastbioclim
Title: Scalable and Efficient Derivation of Bioclimatic Variables
Version: 0.2.1
Maintainer: Gonzalo E. Pinilla-Buitrago <gepinillab@gmail.com>
Description: Provides a high-performance framework for deriving bioclimatic and custom summary variables from large-scale climate raster data. The package features a dual-backend architecture that intelligently switches between fast in-memory processing for smaller datasets (via the 'terra' package) and a memory-safe tiled approach for massive datasets that do not fit in RAM (via 'exactextractr' and 'Rfast'). The main functions, 'derive_bioclim()' and 'derive_statistics()', offer a unified interface with advanced options for custom time periods and static indices, making it suitable for a wide range of ecological and environmental modeling applications. A software note is in preparation. In the meantime, you can visit the package website <https://gepinillab.github.io/fastbioclim/> to find tutorials in English and Spanish.
License: GPL (>= 3)
URL: https://gepinillab.github.io/fastbioclim/
BugReports: https://github.com/gepinillab/fastbioclim/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: exactextractr, future.apply, glue, progressr, purrr, qs, Rfast, rlang, sf, terra (>= 1.7-0)
NeedsCompilation: no
Packaged: 2025-09-02 17:37:29 UTC; gepb
Author: Gonzalo E. Pinilla-Buitrago [aut, cre] , Luis Osorio-Olvera [aut]
Repository: CRAN
Date/Publication: 2025-09-08 19:10:02 UTC

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New package fabricQueryR with initial version 0.1.1
Package: fabricQueryR
Title: Query Data in 'Microsoft Fabric'
Version: 0.1.1
Description: Query data hosted in 'Microsoft Fabric'. Provides helpers to open 'DBI' connections to 'SQL' endpoints of 'Lakehouse' and 'Data Warehouse' items; submit 'Data Analysis Expressions' ('DAX') queries to semantic model datasets in 'Microsoft Fabric' and 'Power BI'; and read 'Delta Lake' tables stored in 'OneLake' ('Azure Data Lake Storage Gen2').
License: MIT + file LICENSE
Suggests: DBI, odbc, AzureStor, jsonlite, readr, fs, arrow, testthat (>= 3.0.0)
Encoding: UTF-8
Imports: AzureAuth, dplyr, httr2, purrr, rlang, tibble, utils, cli, stringr
URL: https://github.com/kennispunttwente/fabricQueryR, https://kennispunttwente.github.io/fabricQueryR/
BugReports: https://github.com/kennispunttwente/fabricQueryR/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-09-02 18:52:02 UTC; dhrko
Author: Luka Koning [aut, cre, cph], Kennispunt Twente [fnd]
Maintainer: Luka Koning <l.koning@kennispunttwente.nl>
Repository: CRAN
Date/Publication: 2025-09-08 19:10:08 UTC

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New package DBmaps with initial version 0.1.0
Package: DBmaps
Title: A Metadata-Driven Framework for Streamlining Database Joins
Version: 0.1.0
Description: Simplifies and automates the process of exploring and merging data from relational databases. This package allows users to discover table relationships, create a map of all possible joins, and generate executable plans to merge data based on a structured metadata framework.
URL: https://github.com/akshat09867/DBmaps
BugReports: https://github.com/akshat09867/DBmaps/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), DiagrammeR
VignetteBuilder: knitr
Imports: data.table
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-03 06:25:17 UTC; akshat
Author: Akshat Maurya [aut, cre], David Shilane [aut]
Maintainer: Akshat Maurya <codingmaster902@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-08 19:20:01 UTC

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New package COINT with initial version 0.0.1
Package: COINT
Title: Unit Root Tests with Structural Breaks and Fully-Modified Estimators
Version: 0.0.1
Date: 2025-09-03
Author: Ho Tsung-wu [aut, cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>
Description: Procedures include Phillips (1995) FMVAR <doi:10.2307/2171721>, Kitamura and Phillips (1997) FMGMM <doi:10.1016/S0304-4076(97)00004-3>, and Park (1992) CCR <doi:10.2307/2951679>, and so on. Tests with 1 or 2 structural breaks include Gregory and Hansen (1996) <doi:10.1016/0304-4076(69)41685-7>, Zivot and Andrews (1992) <doi:10.2307/1391541>, and Kurozumi (2002) <doi:10.1016/S0304-4076(01)00106-3>.
Encoding: UTF-8
License: GPL (>= 2)
LazyData: TRUE
LazyLoad: yes
Depends: R (>= 3.5)
Imports: timeSeries
Suggests: cointReg, forecast, timeDate, urca, zoo
NeedsCompilation: no
Packaged: 2025-09-02 23:18:31 UTC; badal
Repository: CRAN
Date/Publication: 2025-09-08 19:10:14 UTC

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New package xtdml with initial version 0.1.5
Package: xtdml
Title: Double Machine Learning for Static Panel Models with Fixed Effects
Version: 0.1.5
Date: 2025-08-27
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>
Description: Implementation of partially linear panel regression (PLPR) models with high-dimensional confounding variables and exogenous treatment variable within the double machine learning framework. It allows the estimation of the structural parameter (treatment effect) in static panel data models with fixed effects using panel data approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: R6 (>= 2.4.1), data.table (>= 1.12.8), mlr3 (>= 0.5.0), mlr3tuning (>= 0.3.0), mlr3learners (>= 0.3.0), mlr3misc, mvtnorm, utils, clusterGeneration, readstata13, magrittr, dplyr, stats, MLmetrics, checkmate
Suggests: rpart, mlr3pipelines
NeedsCompilation: no
Packaged: 2025-09-02 16:45:19 UTC; annal
Author: Annalivia Polselli [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-08 19:00:02 UTC

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New package synthReturn with initial version 1.0.0
Package: synthReturn
Title: Synthetic Matching Method for Returns
Version: 1.0.0
Description: Implements the revised Synthetic Matching Algorithm of Kreitmeir, Lane, and Raschky (2025) <doi:10.2139/ssrn.3751162>, building on the original approach of Acemoglu, Johnson, Kermani, Kwak, and Mitton (2016) <doi:10.1016/j.jfineco.2015.10.001>, to estimate the cumulative treatment effect of an event on treated firms’ stock returns.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/davidkreitmeir/synthReturn
BugReports: https://github.com/davidkreitmeir/synthReturn/issues
Imports: base (>= 4.0.0), stats, utils, corpcor (>= 1.6.10), data.table, quadprog (>= 1.5), parallel, mirai
Depends: R (>= 4.0)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-02 01:30:27 UTC; david
Author: David H Kreitmeir [aut, cre], Christian Dueben [ctb]
Maintainer: David H Kreitmeir <david.kreitmeir1@monash.edu>
Repository: CRAN
Date/Publication: 2025-09-08 18:40:02 UTC

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New package PhoneValidator with initial version 1.0.1
Package: PhoneValidator
Language: en-US
Title: Client for 'GenderAPI.io' Phone Number Validation and Formatter API
Version: 1.0.1
Description: Provides an interface to the 'GenderAPI.io' Phone Number Validation & Formatter API (<https://www.genderapi.io>) for validating international phone numbers, detecting number type (mobile, landline, Voice over Internet Protocol (VoIP)), retrieving region and country metadata, and formatting numbers to E.164 or national format. Designed to simplify integration into R workflows for data validation, Customer Relationship Management (CRM) data cleaning, and analytics tasks. Full documentation is available at <https://www.genderapi.io/docs-phone-validation-formatter-api>.
License: MIT + file LICENSE
URL: https://github.com/GenderAPI/PhoneValidator-R
BugReports: https://github.com/GenderAPI/PhoneValidator-R/issues
Imports: httr, jsonlite
Depends: R (>= 3.5.0)
Encoding: UTF-8
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-02 10:01:45 UTC; onurozturk
Author: Onur Ozturk [aut, cre]
Maintainer: Onur Ozturk <onurozturk1980@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-08 18:40:28 UTC

More information about PhoneValidator at CRAN
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New package nev with initial version 1.0.0.0
Package: nev
Title: Draw Nested Extreme Value Random Variables
Version: 1.0.0.0
Description: Draw nested extreme value random variables, which are the variables that appear in the latent variable formulation of the nested logit model.
License: GPL (>= 3)
Encoding: UTF-8
Imports: fourierin (>= 0.2.5), pracma (>= 2.4.4), extraDistr (>= 1.10.0)
NeedsCompilation: no
Packaged: 2025-09-02 14:43:38 UTC; wtownsend
Author: Wilbur Townsend [aut, cre]
Maintainer: Wilbur Townsend <wilbur.townsend@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-08 19:00:09 UTC

More information about nev at CRAN
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New package impectR with initial version 2.4.3
Package: impectR
Title: Access Data from the Impect API
Version: 2.4.3
Maintainer: Florian Schmitt <florian.schmitt@impect.com>
Description: Pull data from the 'Impect' Customer API <https://glossary.impect.com/api-design>. The package can retrieve data such as events or match sums.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, jsonlite, purrr, tidyr, utils, methods, tibble, rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-02 06:51:41 UTC; flo
Author: Impect GmbH [cph], Florian Schmitt [aut, cre], Thomas Walentin [ctb]
Repository: CRAN
Date/Publication: 2025-09-08 18:40:17 UTC

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New package icdpicr2 with initial version 2.1.0
Package: icdpicr2
Title: Categorize Injury Diagnosis Codes
Version: 2.1.0
Description: Functions read a dataframe containing one or more International Classification of Diseases Tenth Revision codes per subject. They return original data with injury categorizations and severity scores added.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: dplyr, stringr, tidyr
NeedsCompilation: no
Packaged: 2025-09-02 11:21:06 UTC; davideugeneclark
Author: David Clark [aut, cre], Adam Black [aut]
Maintainer: David Clark <david.clark@tufts.edu>
Repository: CRAN
Date/Publication: 2025-09-08 18:40:23 UTC

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New package corrselect with initial version 2.0.1
Package: corrselect
Title: Correlation-Based Variable Subset Selection
Version: 2.0.1
Description: Provides functions to extract low-correlation variable subsets using exact graph-theoretic algorithms (e.g., Eppstein–Löffler–Strash, Bron–Kerbosch) as well as greedy and spectral heuristics. Supports both numeric and mixed-type data using generalized association measures.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, methods, stats
Suggests: GO.db, WGCNA, preprocessCore, impute, energy, minerva, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://gillescolling.com/corrselect/
BugReports: https://github.com/gcol33/corrselect/issues
NeedsCompilation: yes
Packaged: 2025-09-02 13:24:27 UTC; Gilles Colling
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-08 18:50:07 UTC

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Fri, 05 Sep 2025

New package SLGP with initial version 1.0.0
Package: SLGP
Title: Spatial Logistic Gaussian Process for Field Density Estimation
Version: 1.0.0
Maintainer: Athenais Gautier <athenais.gautier@onera.fr>
Description: Provides tools for conditional and spatially dependent density estimation using Spatial Logistic Gaussian Processes (SLGPs). The approach represents probability densities through finite-rank Gaussian process priors transformed via a spatial logistic density transformation, enabling flexible non-parametric modeling of heterogeneous data. Functionality includes density prediction, quantile and moment estimation, sampling methods, and preprocessing routines for basis functions. Applications arise in spatial statistics, machine learning, and uncertainty quantification. The methodology builds on the framework of Leonard (1978) <doi:10.1111/j.2517-6161.1978.tb01655.x>, Lenk (1988) <doi:10.1080/01621459.1988.10478625>, Tokdar (2007) <doi:10.1198/106186007X210206>, Tokdar (2010) <doi:10.1214/10-BA605>, and is further aligned with recent developments in Bayesian non-parametric modelling: see Gautier (2023) <https://boristheses.unibe.ch/4377/>, and Gautier (2025) &l [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5.0), stats
Imports: DiceDesign, methods, mvnfast, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), GoFKernel, rstantools
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.21.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, tidyr, dplyr, ggplot2, ggpubr, viridis, MASS
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-09-01 13:38:28 UTC; agautier
Author: Athenais Gautier [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-05 20:50:02 UTC

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New package OptOTrials with initial version 1.0.2
Package: OptOTrials
Title: Optimal Two-Stage Designs for Ordered Categorical Outcomes
Version: 1.0.2
Date: 2025-08-17
Description: Functions to design and simulate optimal two-stage randomized controlled trials (RCTs) with ordered categorical outcomes, supporting rank-based tests and group-sequential decision rules. Methods build on classical and modern rank tests and two-stage/Group-Sequential designs, e.g., Park (2025) <doi: 10.1371/journal.pone.0318211>. Please see the package reference manual and vignettes for details.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats
NeedsCompilation: no
Packaged: 2025-09-01 09:24:41 UTC; ypark56
Author: Yeonhee Park [aut, cre], Yudi Wang [aut], Zhanpeng Xu [aut]
Maintainer: Yeonhee Park <yeonheepark@skku.edu>
Repository: CRAN
Date/Publication: 2025-09-05 20:40:02 UTC

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New package LLMTranslate with initial version 0.1.3
Package: LLMTranslate
Title: 'shiny' App for TRAPD/ISPOR Survey Translation with LLMs
Version: 0.1.3
Description: A 'shiny' application to automate forward and back survey translation with optional reconciliation using large language models (LLMs). It follows the TRAPD (Translation, Review, Adjudication, Pretesting, Documentation) framework and ISPOR (International Society for Pharmacoeconomics and Outcomes Research) recommendations. See Harkness et al. (2010) <doi:10.1002/9780470609927.ch7> and Wild et al. (2005) <doi:10.1111/j.1524-4733.2005.04054.x>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: shiny
Suggests: DT, readxl, writexl, openxlsx, httr2, jsonlite, glue, later, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-01 17:28:43 UTC; A2310316
Author: Jonas R. Kunst [aut, cre]
Maintainer: Jonas R. Kunst <jonas.r.kunst@bi.no>
Repository: CRAN
Date/Publication: 2025-09-05 21:00:16 UTC

More information about LLMTranslate at CRAN
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New package causalnet with initial version 0.1.0
Package: causalnet
Title: Directed Causal Network Enumeration and Simulation
Version: 0.1.0
Description: Enumerate orientation-consistent directed networks from an undirected or partially directed skeleton, detect feedback loops, summarize topology, and simulate node dynamics via stochastic differential equations.
License: GPL-3
URL: https://github.com/KyuriP/causalnet
BugReports: https://github.com/KyuriP/causalnet/issues
Encoding: UTF-8
VignetteBuilder: knitr
Imports: stats, ggplot2, tidyr, scales, cowplot
Suggests: testthat (>= 3.0.0), dplyr, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-09-01 16:03:58 UTC; Kyuri1
Author: Kyuri Park [aut, cre]
Maintainer: Kyuri Park <kyurheep@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-05 21:00:10 UTC

More information about causalnet at CRAN
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New package minipdf with initial version 0.2.7
Package: minipdf
Title: PDF Document Creator
Version: 0.2.7
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: PDF is a standard file format for laying out text and images in documents. At its core, these documents are sequences of objects defined in plain text. This package allows for the creation of PDF documents at a very low level without any library or graphics device dependencies.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/coolbutuseless/minipdf
Depends: R (>= 4.1.0)
Imports: glue
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-31 09:38:56 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-09-05 11:40:02 UTC

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New package mini007 with initial version 0.1.0
Package: mini007
Title: Lightweight Framework for Orchestrating Multi-Agent Large Language Models
Version: 0.1.0
Description: Provides tools for creating agents with persistent state using R6 classes <https://cran.r-project.org/package=R6> and the 'ellmer' package <https://cran.r-project.org/package=ellmer>. Tracks prompts, messages, and agent metadata for reproducible, multi-turn large language model sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: checkmate (>= 2.3.1), cli (>= 3.6.5), R6 (>= 2.6.1), uuid (>= 1.2.0)
Suggests: ellmer
NeedsCompilation: no
Packaged: 2025-08-31 11:16:43 UTC; mohamedelfodilihaddaden
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-05 11:40:08 UTC

More information about mini007 at CRAN
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New package econtools with initial version 0.1.0
Package: econtools
Title: Enrich and Analyze Sovereign-Level Economic Data
Version: 0.1.0
Description: Provides a consistent set of functions for enriching and analyzing sovereign-level economic data. Economists, data scientists, and financial professionals can use the package to add standardized identifiers, demographic and macroeconomic indicators, and derived metrics such as gross domestic product per capita or government expenditure shares.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, curl, dplyr (>= 1.0.0), rlang, wbwdi, econid, imfweo
Suggests: testthat (>= 3.0.0)
URL: https://github.com/tidy-intelligence/r-econtools, https://tidy-intelligence.github.io/r-econtools/
BugReports: https://github.com/tidy-intelligence/r-econtools/issues
NeedsCompilation: no
Packaged: 2025-08-31 14:39:11 UTC; krise
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2025-09-05 11:40:13 UTC

More information about econtools at CRAN
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New package connector.databricks with initial version 0.1.0
Package: connector.databricks
Title: Expand 'connector' Package for 'Databricks' Tables and Volumes
Version: 0.1.0
Description: Expands the 'connector' <https://github.com/NovoNordisk-OpenSource/connector> package and provides a convenient interface for accessing and interacting with 'Databricks' <https://www.databricks.com> volumes and tables directly from R.
License: Apache License (>= 2)
URL: https://novonordisk-opensource.github.io/connector.databricks/, https://github.com/NovoNordisk-OpenSource/connector.databricks
BugReports: https://github.com/NovoNordisk-OpenSource/connector.databricks/issues
Imports: arrow, brickster (>= 0.2.7), checkmate, cli, connector (>= 1.0.0), DBI, dbplyr, dplyr, fs, hms, odbc (>= 1.4.0), purrr, R6 (>= 2.4.0), rlang, withr, zephyr
Suggests: glue, knitr, mockery (>= 0.4.4), rmarkdown, testthat (>= 3.2.3), tibble, whirl (>= 0.3.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-01 08:28:07 UTC; vlob
Author: Vladimir Obucina [aut, cre], Steffen Falgreen Larsen [aut], Aksel Thomsen [aut], Cervan Girard [aut], Oliver Lundsgaard [ctb], Skander Mulder [ctb], Novo Nordisk A/S [cph]
Maintainer: Vladimir Obucina <vlob@novonordisk.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-09-05 12:00:02 UTC

More information about connector.databricks at CRAN
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Thu, 04 Sep 2025

New package ricci with initial version 0.1.1
Package: ricci
Title: Ricci Calculus
Version: 0.1.1
Description: Provides a compact 'R' interface for performing tensor calculations. This is achieved by allowing (upper and lower) index labeling of arrays and making use of Ricci calculus conventions to implicitly trigger contractions and diagonal subsetting. Explicit tensor operations, such as addition, subtraction and multiplication of tensors via the standard operators, raising and lowering indices, taking symmetric or antisymmetric tensor parts, as well as the Kronecker product are available. Common tensors like the Kronecker delta, Levi Civita epsilon, certain metric tensors, the Christoffel symbols, the Riemann as well as Ricci tensors are provided. The covariant derivative of tensor fields with respect to any metric tensor can be evaluated. An effort was made to provide the user with useful error messages.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, Ryacas, testthat (>= 3.0.0), waldo
Imports: calculus, cli, rlang
Depends: R (>= 4.1.0)
URL: https://github.com/lschneiderbauer/ricci, https://lschneiderbauer.github.io/ricci/
BugReports: https://github.com/lschneiderbauer/ricci/issues
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-08-30 15:28:10 UTC; lukas
Author: Lukas Schneiderbauer [aut, cre, cph]
Maintainer: Lukas Schneiderbauer <lukas.schneiderbauer@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-04 14:20:02 UTC

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New package power4mome with initial version 0.1.0
Package: power4mome
Title: Power Analysis for Moderation and Mediation
Version: 0.1.0
Description: Power analysis and sample size determination for moderation, mediation, and moderated mediation in models fitted by structural equation modelling using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02> or by multiple regression. The package 'manymome' by Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z> is used to specify the indirect paths or conditional indirect paths to be tested.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.4.0)
URL: https://sfcheung.github.io/power4mome/
BugReports: https://github.com/sfcheung/power4mome/issues
Imports: lavaan, stats, manymome (>= 0.2.8), pbapply, parallel, pgnorm, lmhelprs (>= 0.4.2), psych, yaml, graphics, methods
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-31 07:40:34 UTC; shufa
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut] , Wendie Yang [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-04 14:20:16 UTC

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New package ELIC with initial version 0.1.0
Package: ELIC
Title: LIC for Distributed Elliptical Model
Version: 0.1.0
Date: 2025-08-16
Description: This comprehensive toolkit for Distributed Elliptical model is designated as "ELIC" (The LIC for Distributed Elliptical Model Analysis) analysis. It is predicated on the assumption that the error term adheres to a Elliptical distribution. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Author: Guangbao Guo [aut, cre], Xiyu Zhao [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Imports: distr, distrEllipse,MASS
Suggests: testthat (>= 3.0.0), sn
Depends: R (>= 4.4.0)
Packaged: 2025-08-27 01:37:26 UTC; 13269
Date/Publication: 2025-09-04 14:20:33 UTC

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New package booami with initial version 0.1.0
Package: booami
Language: en-US
Title: Component-Wise Gradient Boosting after Multiple Imputation
Version: 0.1.0
Description: Component-wise gradient boosting for analysis of multiply imputed datasets. Implements the algorithm Boosting after Multiple Imputation (MIBoost), which enforces uniform variable selection across imputations and provides utilities for pooling. Includes a cross-validation workflow that first splits the data into training and validation sets and then performs imputation on the training data, applying the learned imputation models to the validation data to avoid information leakage. Supports Gaussian and logistic loss. Methods relate to gradient boosting and multiple imputation as in Buehlmann and Hothorn (2007) <doi:10.1214/07-STS242>, Friedman (2001) <doi:10.1214/aos/1013203451>, and van Buuren (2018, ISBN:9781138588318) and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>; see also Kuchen (2025) <doi:10.48550/arXiv.2507.21807>.
License: MIT + file LICENSE
URL: https://arxiv.org/abs/2507.21807, https://github.com/RobertKuchen/booami
BugReports: https://github.com/RobertKuchen/booami/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: MASS, stats, utils, withr
Suggests: mice, miceadds, Matrix, knitr, rmarkdown, testthat (>= 3.0.0), spelling
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-30 10:27:36 UTC; rokuchen
Author: Robert Kuchen [aut, cre]
Maintainer: Robert Kuchen <rokuchen@uni-mainz.de>
Repository: CRAN
Date/Publication: 2025-09-04 14:10:06 UTC

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Wed, 03 Sep 2025

New package spell.replacer with initial version 1.0.1
Package: spell.replacer
Title: Probabilistic Spelling Correction in a Character Vector
Version: 1.0.1
Description: Automatically replaces "misspelled" words in a character vector based on their string distance from a list of words sorted by their frequency in a corpus. The default word list provided in the package comes from the Corpus of Contemporary American English. Uses the Jaro-Winkler distance metric for string similarity as implemented in van der Loo (2014) <doi:10.32614/RJ-2014-011>. The word frequency data is derived from Davies (2008-) "The Corpus of Contemporary American English (COCA)" <https://www.english-corpora.org/coca/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: hunspell, stringr, stringdist, textclean
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-29 19:11:59 UTC; runner
Author: David Brown [aut, cre]
Maintainer: David Brown <dwb2@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2025-09-03 21:10:02 UTC

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New package MultivariateTrendAnalysis with initial version 0.1.3
Package: MultivariateTrendAnalysis
Title: Univariate and Multivariate Trend Testing
Version: 0.1.3
Description: With foundations on the work by Goutali and Chebana (2024) <doi:10.1016/j.envsoft.2024.106090>, this package contains various univariate and multivariate trend tests. The main functions regard the Multivariate Dependence Trend and Multivariate Overall Trend tests as proposed by Goutali and Chebana (2024), as well as a plotting function that proves useful as a summary and complement of the tests. Although many packages and methods carry univariate tests, the Mann-Kendall and Spearman's rho test implementations are included in the package with an adapted version to hydrological formulation (e.g. as in Rao and Hamed 1998 <doi:10.1016/S0022-1694(97)00125-X> or Chebana 2022 <doi:10.1016/C2021-0-01317-1>). For better understanding of the example use of the functions, three datasets are included. These are synthetic data and shouldn't be used beyond that purpose.
License: GPL (>= 3)
Depends: R (>= 4.0.0)
Imports: copula, resample, VGAM, zoo
Encoding: UTF-8
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2025-08-29 19:02:22 UTC; gabrielreynoso
Author: Dorsaf Goutali [aut, cre], Fateh Chebana [aut]
Maintainer: Dorsaf Goutali <dorsaf.goutali@inrs.ca>
Repository: CRAN
Date/Publication: 2025-09-03 21:10:13 UTC

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New package multiModTest with initial version 1.0
Package: multiModTest
Title: Information Assessment for Individual Modalities in Multimodal Regression Models
Version: 1.0
Description: Provides methods for quantifying the information gain contributed by individual modalities in multimodal regression models. Information gain is measured using Expected Relative Entropy (ERE) or pseudo-R² metrics, with corresponding p-values and confidence intervals. Currently supports linear and logistic regression models with plans for extension to additional Generalized Linear Models and Cox proportional hazard model.
License: GPL-3
Encoding: UTF-8
Imports: tidyverse, MASS, SIS, glmnet, ncvreg, MBESS, survival, dplyr
Depends: R (>= 3.6.0)
NeedsCompilation: no
Packaged: 2025-08-29 20:33:59 UTC; 10518
Author: Wanting Jin [aut, cre], Quefeng Li [aut]
Maintainer: Wanting Jin <jinwanting5@gmail.com>
LazyData: true
Repository: CRAN
Date/Publication: 2025-09-03 21:30:02 UTC

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New package Epoch with initial version 1.0.3
Package: Epoch
Title: IEEG (Intracranial Electroencephalography) Epoch Data Tools
Version: 1.0.3
Description: Provides tools for working with iEEG matrix data, including downloading curated iEEG data from OSF (The Open Science Framework <https://osf.io/>) (EpochDownloader()), making new objects (Epoch()), processing (crop() and resample()), and visualizing the data (plot()).
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 4.1)
Imports: ggplot2, methods, ramify, TableContainer, glue, osfr, jsonlite, rlang, ggtext, gsignal
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-29 20:55:01 UTC; jiewang
Author: Jiefei Wang [aut, cre]
Maintainer: Jiefei Wang <szwjf08@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-03 21:30:07 UTC

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New package einops with initial version 0.2.1
Package: einops
Title: Flexible, Powerful, and Readable Tensor Operations
Version: 0.2.1
Maintainer: Qile Yang <qile.yang@berkeley.edu>
Description: Perform tensor operations using a concise yet expressive syntax inspired by the Python library of the same name. Reshape, rearrange, and combine multidimensional arrays for scientific computing, machine learning, and data analysis. Einops simplifies complex manipulations, making code more maintainable and intuitive. The original implementation is demonstrated in Rogozhnikov (2022) <https://openreview.net/forum?id=oapKSVM2bcj>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Qile0317/einops, https://qile0317.github.io/einops/
BugReports: https://github.com/Qile0317/einops/issues
Imports: assertthat, FastUtils, glue, magrittr, r2r, R6, roperators
Suggests: abind, grid, imager, knitr, lifecycle, lintr, lobstr, rmarkdown, spelling, testthat (>= 3.0.0), torch, zeallot
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-08-29 22:24:54 UTC; qile
Author: Qile Yang [cre, aut, cph]
Repository: CRAN
Date/Publication: 2025-09-03 21:40:08 UTC

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New package TrialSimulator with initial version 1.0.0
Package: TrialSimulator
Title: Clinical Trial Simulator
Version: 1.0.0
Description: Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: base64enc, dplyr, emmeans, ggplot2, gMCPLite, htmltools, mvtnorm, R6, rlang, rpact, rstudioapi, survival, utils
Suggests: DoseFinding, graphicalMCP, kableExtra, knitr, rmarkdown, simdata, survminer, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://zhangh12.github.io/TrialSimulator/
BugReports: https://github.com/zhangh12/TrialSimulator/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-08-29 06:25:20 UTC; zhhan
Author: Han Zhang [cre, aut]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-03 20:50:13 UTC

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New package rtiktokads with initial version 0.3.2
Package: rtiktokads
Title: Load Data from 'tiktok Marketing API'
Version: 0.3.2
Description: Loading data from 'tiktok Marketing API' <https://business-api.tiktok.com/portal> by business centers, advertisers, budgets and reports.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, httr2, jsonlite, purrr, rappdirs, stringr, tidyr, utils
Depends: R (>= 4.1.0)
URL: https://github.com/selesnow/rtiktokads
BugReports: https://github.com/selesnow/rtiktokads/issues
NeedsCompilation: no
Packaged: 2025-08-29 14:11:37 UTC; User
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-03 21:00:09 UTC

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New package cppSim with initial version 0.2
Package: cppSim
Title: Fast and Memory Efficient Spatial Interaction Models
Version: 0.2
Author: Ivann Schlosser [aut, cre]
Maintainer: Ivann Schlosser <ivann.schlosser.19@ucl.ac.uk>
Description: Building on top of the 'RcppArmadillo' linear algebra functionalities to do fast spatial interaction models in the context of urban analytics, geography, transport modelling. It uses the Newton root search algorithm to determine the optimal cost exponent and can run country level models with thousands of origins and destinations. It aims at implementing an easy approach based on matrices, that can originate from various routing and processing steps earlier in an workflow. Currently, the simplest form of production, destination and doubly constrained models are implemented. Schlosser et al. (2023) <doi:10.48550/arXiv.2309.02112>.
Date: 2025-08-29
License: MIT + file LICENSE
URL: https://ischlo.github.io/cppSim/, https://github.com/ischlo/cppSim
Depends: R (>= 3.6)
Imports: Rcpp
Suggests: data.table, foreach, knitr, rlist, rmarkdown, cli, sf, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
SystemRequirements: Quarto command line tools (https://github.com/quarto-dev/quarto-cli).
NeedsCompilation: yes
Packaged: 2025-08-29 14:44:01 UTC; cenv1069
Repository: CRAN
Date/Publication: 2025-09-03 21:00:14 UTC

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New package CompClassMetrics with initial version 0.1.0
Package: CompClassMetrics
Title: Classification Measures when Subclasses are Involved
Version: 0.1.0
Description: Accuracy metrics are commonly used to assess the discriminating ability of diagnostic tests or biomarkers. Among them, metrics based on the ROC framework are particularly popular. When classification involves subclasses, the package 'CompClassMetrics' includes functions that can provide the point estimate, confidence interval as well as true values if a parametric setting is known. For more details see Nan and Tian (2025) <doi:10.1177/09622802251343600> and Nan and Tian (2023) <doi:10.1002/sim.9908> and Feng and Tian (2020) <doi:10.1177/0962280220938077>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: plot3D, pracma, cubature, stats
NeedsCompilation: no
Packaged: 2025-08-29 16:40:34 UTC; nannan
Author: Nan Nan [aut, cre]
Maintainer: Nan Nan <nannan@buffalo.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-03 21:00:20 UTC

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New package blendR with initial version 1.0.0
Package: blendR
Title: Blended Survival Curves
Version: 1.0.0
Description: Create a blended curve from two survival curves, which is particularly useful for survival extrapolation in health technology assessment. The main idea is to mix a flexible model that fits the observed data well with a parametric model that encodes assumptions about long-term survival. The two curves are blended into a single survival curve that is identical to the first model over the range of observed times and gradually approaches the parametric model over the extrapolation period based on a given weight function. This approach allows for the inclusion of external information, such as data from registries or expert opinion, to guide long-term extrapolations, especially when dealing with immature trial data. See Che et al. (2022) <doi:10.1177/0272989X221134545>.
License: GPL (>= 3)
Additional_repositories: https://giabaio.r-universe.dev, https://inla.r-inla-download.org/R/stable
Encoding: UTF-8
Imports: dplyr, flexsurv, ggplot2, manipulate, sn, survHE, tibble
Depends: R (>= 4.4.0)
Suggests: INLA, knitr, remotes, rlang, rmarkdown, survHEhmc, survival, testthat (>= 3.0.0)
URL: https://github.com/StatisticsHealthEconomics/blendR/, https://StatisticsHealthEconomics.github.io/blendR/
BugReports: https://github.com/StatisticsHealthEconomics/blendR/issues/
NeedsCompilation: no
Packaged: 2025-08-29 13:46:02 UTC; n8than
Author: Nathan Green [aut] , Zhaojing Che [aut, cph, cre]
Maintainer: Zhaojing Che <blendr-pkg@proton.me>
Repository: CRAN
Date/Publication: 2025-09-03 20:50:02 UTC

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New package SIMPLICA with initial version 1.0.0
Package: SIMPLICA
Title: Biclustering via Simplivariate Component Analysis
Version: 1.0.0
Description: Identifies constant, additive, multiplicative, and user-defined simplivariate components in numeric data matrices using a genetic algorithm. Supports flexible pattern definitions and provides visualization for general biclustering applications across diverse domains. The method builds on simplivariate models as introduced in Hageman et al. (2008) <doi:10.1371/journal.pone.0003259> and is related to biclustering frameworks as reviewed by Madeira and Oliveira (2004) <doi:10.1109/TCBB.2004.2>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: xz
Imports: GA, ggplot2, ggsci
URL: https://github.com/joshageman/SIMPLICA
BugReports: https://github.com/joshageman/SIMPLICA/issues
NeedsCompilation: no
Packaged: 2025-08-28 21:00:06 UTC; josha
Author: Jos Hageman [aut, cre]
Maintainer: Jos Hageman <jos.hageman@wur.nl>
Repository: CRAN
Date/Publication: 2025-09-03 08:00:18 UTC

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New package RSDC with initial version 1.1-2
Package: RSDC
Title: Regime-Switching Dynamic Correlation Models
Version: 1.1-2
Description: Estimation, forecasting, simulation, and portfolio construction for regime-switching models with exogenous variables as in Pelletier (2006) <doi:10.1016/j.jeconom.2005.01.013>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/ArdiaD/RSDC
BugReports: https://github.com/ArdiaD/RSDC/issues
Imports: Rdpack (>= 2.0), DEoptim, mvtnorm, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), quadprog, Rsolnp
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-28 18:40:15 UTC; ardiad
Author: David Ardia [aut, cre] , Benjamin Seguin [aut]
Maintainer: David Ardia <david.ardia.ch@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-03 08:00:24 UTC

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New package permRand with initial version 1.0.0
Package: permRand
Title: Permutation Randomization
Version: 1.0.0
Description: Provides randomization using permutation for applications. To provide a Quality Control (QC) check, QC samples can be randomized within strata. A second function allows for the ability to ”switch” samples to meet set requirements and perform a certain amount of minimization on these switches. The functions are flexible for users by specifying strata size and number of QC samples per strata. The randomization meets the following requirements • QC sample requirements: QC samples not adjacent, QC samples from same mother must follow certain patterns. • Matched sample sets must be within a single strata, and next to each other.
URL: https://github.com/m-mellers/permRand
BugReports: https://github.com/m-mellers/permRand/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: magrittr, dplyr, tidyr, stringr
License: GPL (>= 3)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-28 16:18:36 UTC; michellemellers
Author: Michelle Mellers [aut, cre, cph], Thaddeus Haight [aut]
Maintainer: Michelle Mellers <michelle.mellers.ctr@usuhs.edu>
Repository: CRAN
Date/Publication: 2025-09-03 08:00:02 UTC

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New package kerasnip with initial version 0.0.1
Package: kerasnip
Title: A Bridge Between 'keras' and 'tidymodels'
Version: 0.0.1
Description: Provides a seamless bridge between 'keras' and the 'tidymodels' ecosystem. It allows for the dynamic creation of 'parsnip' model specifications for 'keras' models.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: abind, parsnip (>= 1.0.0), rlang, keras3, tibble, purrr, dplyr, cli, recipes, reticulate
Suggests: testthat (>= 3.0.0), modeldata, tidymodels, finetune, tune, dials, workflows, rsample, knitr, lme4, rmarkdown, future, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-23 14:37:26 UTC; david
Author: David Diaz [aut, cre]
Maintainer: David Diaz <daviddrsch@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-09-03 08:00:07 UTC

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New package CoxMK with initial version 0.1.1
Package: CoxMK
Title: A Model-X Knockoff Method for Genome-Wide Survival Association Analysis
Version: 0.1.1
Author: Yang Chen [aut, cre], Contributors [ctb]
Maintainer: Yang Chen <yangchen5@stu.scu.edu.cn>
Description: A genome-wide survival framework that integrates sequential conditional independent tuples and saddlepoint approximation method, to provide SNP-level false discovery rate control while improving power, particularly for biobank-scale survival analyses with low event rates. The method is based on model-X knockoffs as described in Barber and Candes (2015) <doi:10.1214/15-AOS1337> and fast survival analysis methods from Bi et al. (2020) <doi:10.1016/j.ajhg.2020.06.003>. A shrinkage algorithmic leveraging accelerates multiple knockoffs generation in large genetic cohorts. This CRAN version uses standard Cox regression for association testing. For enhanced performance on very large datasets, users may optionally install the 'SPACox' package from GitHub which provides saddlepoint approximation methods for survival analysis.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Matrix, survival, irlba, stats, utils, gdsfmt, BEDMatrix
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-08-28 16:30:31 UTC; fairy
Repository: CRAN
Date/Publication: 2025-09-03 08:00:29 UTC

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New package causalDT with initial version 1.0.0
Package: causalDT
Title: Causal Distillation Trees
Version: 1.0.0
Description: Causal Distillation Tree (CDT) is a novel machine learning method for estimating interpretable subgroups with heterogeneous treatment effects. CDT allows researchers to fit any machine learning model (or metalearner) to estimate heterogeneous treatment effects for each individual, and then "distills" these predicted heterogeneous treatment effects into interpretable subgroups by fitting an ordinary decision tree to predict the previously-estimated heterogeneous treatment effects. This package provides tools to estimate causal distillation trees (CDT), as detailed in Huang, Tang, and Kenney (2025) <doi:10.48550/arXiv.2502.07275>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: bcf, dplyr, ggparty, ggplot2, grf, lifecycle, partykit, purrr, R.utils, Rcpp, rlang, rpart, stringr, tibble, tidyselect
URL: https://tiffanymtang.github.io/causalDT/
NeedsCompilation: yes
Packaged: 2025-08-28 20:55:06 UTC; ttang4
Author: Tiffany Tang [aut, cre] , Melody Huang [aut], Ana Kenney [aut]
Maintainer: Tiffany Tang <ttang4@nd.edu>
Repository: CRAN
Date/Publication: 2025-09-03 08:00:13 UTC

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Tue, 02 Sep 2025

New package notionapi with initial version 0.1.0
Package: notionapi
Title: Client for the 'Notion API'
Version: 0.1.0
Description: Enable programmatic interaction with 'Notion' pages, databases, blocks, comments, and users through the 'Notion API' <https://developers.notion.com/>. Provides both synchronous and asynchronous client interfaces for building workflows and automations that integrate with 'Notion' workspaces. Supports all 'Notion API' endpoints including content creation, data retrieval, and workspace management.
License: MIT + file LICENSE
URL: https://brenwin1.github.io/notionapi/, https://github.com/brenwin1/notionapi
BugReports: https://github.com/brenwin1/notionapi/issues
Imports: cli, httr2, jsonlite, R6, rlang
Suggests: promises, testthat (>= 3.0.0), vcr (>= 2.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-28 12:57:44 UTC; brenwin
Author: Brenwin Ang [aut, cre, cph]
Maintainer: Brenwin Ang <brenwinalj@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-02 21:10:02 UTC

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New package GTRT with initial version 0.1.0
Package: GTRT
Title: Graph Theoretic Randomness Tests
Version: 0.1.0
Date: 2025-08-28
Description: A collection of functions for testing randomness (or mutual independence) in linear and circular data as proposed in Gehlot and Laha (2025a) <doi:10.48550/arXiv.2506.21157> and Gehlot and Laha (2025b) <doi:10.48550/arXiv.2506.23522>, respectively.
License: GPL-3
Encoding: UTF-8
Imports: stats, circular
Suggests: knitr, rmarkdown, timeSeriesDataSets
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-28 12:49:17 UTC; gehlo
Author: Shriya Gehlot [aut, cre], Arnab Kumar Laha [aut]
Maintainer: Shriya Gehlot <phd20shriyag@iima.ac.in>
Repository: CRAN
Date/Publication: 2025-09-02 21:10:20 UTC

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New package gclink with initial version 1.1
Package: gclink
Title: Gene-Cluster Discovery, Annotation and Visualization
Version: 1.1
Description: Performs end-to-end analysis of gene clusters—such as photosynthesis, carbon/nitrogen/sulfur cycling, carotenoid, antibiotic, or viral marker genes (e.g., capsid, polymerase, integrase)—from genomes and metagenomes. It parses Basic Local Alignment Search Tool (BLAST) results in tab-delimited format produced by tools like NCBI BLAST+ and Diamond BLASTp, filters Open Reading Frames (ORFs) by length, detects contiguous clusters of reference genes, optionally extracts genomic coordinates, merges functional annotations, and generates publication-ready arrow plots. The package works seamlessly with or without the coding sequences input and skips plotting when no functional groups are found. For more details see Li et al. (2023) <doi:10.1038/s41467-023-42193-7>.
URL: https://github.com/LiuyangLee/gclink
BugReports: https://github.com/LiuyangLee/gclink/issues
License: GPL-3
Encoding: UTF-8
Imports: dplyr (>= 1.1.4), gggenes (>= 0.5.1), ggplot2 (>= 3.5.2), utils
Depends: R (>= 3.5)
LazyData: false
NeedsCompilation: no
Packaged: 2025-08-28 14:44:20 UTC; Administrator
Author: Liuyang Li [aut, cre]
Maintainer: Liuyang Li <cyanobacteria@yeah.net>
Repository: CRAN
Date/Publication: 2025-09-02 21:10:08 UTC

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New package StreamCatTools with initial version 0.6.0
Package: StreamCatTools
Title: StreamCat Tools
Version: 0.6.0
Description: Tools for using the 'StreamCat' and 'LakeCat' API and interacting with the 'StreamCat' and 'LakeCat' database. Convenience functions in the package wrap the API for 'StreamCat' on <https://api.epa.gov/StreamCat/streams/metrics>.
Depends: R (>= 4.1.0)
Imports: sf, nhdplusTools, jsonlite, httr2, curl (>= 6.0.0)
Suggests: dplyr, ggplot2, mapview, testthat, knitr, rmarkdown, devtools, xml2, magrittr, readr, tidyr, stringr, purrr
Encoding: UTF-8
URL: https://usepa.github.io/StreamCatTools/, https://github.com/USEPA/StreamCatTools
BugReports: https://github.com/USEPA/StreamCatTools/issues
VignetteBuilder: knitr,rmarkdown
License: CC0
NeedsCompilation: no
Packaged: 2025-08-27 21:01:13 UTC; mweber
Author: Marc Weber [aut, cre], Ryan Hill [ctb], Travis Hudson [ctb], Allen Brookes [ctb], David Rebhuhn [ctb], Zachary Smith [ctb]
Maintainer: Marc Weber <weber.marc@epa.gov>
Repository: CRAN
Date/Publication: 2025-09-02 20:40:02 UTC

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New package Rnaught with initial version 0.1.0
Package: Rnaught
Title: Estimate the Basic Reproduction Number (R0)
Version: 0.1.0
Description: A collection of methods for estimating the basic reproduction number (R0) of infectious diseases. Features a web application to interface with the estimators. Uses the models from: Fisman et al. (2013) <DOI:10.1371/journal.pone.0083622>, Bettencourt and Ribeiro (2008) <DOI:10.1371/journal.pone.0002185>, and White and Pagano (2008) <DOI:10.1002/sim.3136>. Includes datasets for Canadian national and provincial COVID-19 case counts provided by Berry et al. (2021) <DOI:10.1038/s41597-021-00955-2>.
License: AGPL (>= 3)
URL: https://mi2yorku.github.io/Rnaught/, https://github.com/MI2YorkU/Rnaught
BugReports: https://github.com/MI2YorkU/Rnaught/issues
Imports: stats, utils
Suggests: knitr, rmarkdown, shiny, bslib, DT, plotly, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-28 09:30:30 UTC; nmode
Author: Naeem Model [aut, cph, cre], Sawitree Boonpatcharanon [aut, cph], Jane Heffernan [aut, cph], Hanna Jankowski [aut, cph], Tatiana Krikella [aut, cph], Kseniia Lipikhin [ctb, cph]
Maintainer: Naeem Model <me@nmode.ca>
Repository: CRAN
Date/Publication: 2025-09-02 21:00:07 UTC

More information about Rnaught at CRAN
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New package mLLMCelltype with initial version 1.3.2
Package: mLLMCelltype
Title: Cell Type Annotation Using Large Language Models
Version: 1.3.2
Description: Automated cell type annotation for single-cell RNA sequencing data using consensus predictions from multiple large language models (LLMs). LLMs are artificial intelligence models trained on vast text corpora to understand and generate human-like text. This package integrates with 'Seurat' objects and provides uncertainty quantification for annotations. Supports various LLM providers including 'OpenAI', 'Anthropic', and 'Google'. The package leverages these models through their respective APIs (Application Programming Interfaces) <https://platform.openai.com/docs>, <https://docs.anthropic.com/>, and <https://ai.google.dev/gemini-api/docs>. For details see Yang et al. (2025) <doi:10.1101/2025.04.10.647852>.
License: MIT + file LICENSE
BugReports: https://github.com/cafferychen777/mLLMCelltype/issues
URL: https://cafferyang.com/mLLMCelltype/
Encoding: UTF-8
Imports: dplyr, httr (>= 1.4.0), jsonlite (>= 1.7.0), R6 (>= 2.5.0), digest (>= 0.6.25), magrittr, utils
Suggests: knitr, rmarkdown, Seurat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-28 09:18:39 UTC; apple
Author: Chen Yang [aut, cre, cph]
Maintainer: Chen Yang <cafferychen777@tamu.edu>
Repository: CRAN
Date/Publication: 2025-09-02 20:50:12 UTC

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New package ddModel with initial version 0.2.9.0
Package: ddModel
Title: The Decision Diffusion Model
Version: 0.2.9.0
Date: 2025-08-07
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>
Description: Provides functions for computing the density, distribution, and random generation of the Decision Diffusion model (DDM), a widely used cognitive model for analysing choice and response time data. The package allows model specification, including the ability to fix, constrain, or vary parameters across experimental conditions. While it does not include a built-in optimiser, it supports likelihood evaluation and can be integrated with external tools for parameter estimation. Functions for simulating synthetic datasets are also provided. This package is intended for researchers modelling speeded decision-making in behavioural and cognitive experiments. For more information, see Voss, Rothermund, and Voss (2004) <doi:10.3758/BF03196893>, Voss and Voss (2007) <doi:10.3758/BF03192967>, and Ratcliff and McKoon (2008) <doi:10.1162/neco.2008.12-06-420>.
License: GPL (>= 2)
Imports: ggdmcPrior, ggdmcModel, Rcpp (>= 1.0.7), methods
Depends: R (>= 3.3.0)
LinkingTo: Rcpp (>= 1.0.7), RcppArmadillo (>= 0.10.7.5.0), ggdmcHeaders
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-08-28 00:15:59 UTC; yslin
Author: Yi-Shin Lin [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-02 20:50:24 UTC

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New package phase12designs with initial version 0.3.1
Package: phase12designs
Title: Comprehensive Tools for Running Model-Assisted Phase I/II Trial Simulations
Version: 0.3.1
Author: Angela Cao [aut, cre], Haolun Shi [ctb]
Maintainer: Angela Cao <cao.t.angela@gmail.com>
Description: Provides a comprehensive set of tools to simulate, evaluate, and compare model-assisted designs for early-phase (Phase I/II) clinical trials, including: - BOIN12 (Bayesian optimal interval phase 1/11 trial design; Lin et al. (2020) <doi:10.1200/PO.20.00257>), - BOIN-ET (Takeda, K., Taguri, M., & Morita, S. (2018) <doi:10.1002/pst.1864>), - EffTox (Thall, P. F., & Cook, J. D. (2004) <doi:10.1111/j.0006-341X.2004.00218.x>), - Ji3+3 (Joint i3+3 design; Lin, X., & Ji, Y. (2020) <doi:10.1080/10543406.2020.1818250>), - PRINTE (probability intervals of toxicity and efficacy design; Lin, X., & Ji, Y. (2021) <doi:10.1177/0962280220977009>), - STEIN (simple toxicity and efficacy interval design; Lin, R., & Yin, G. (2017) <doi:10.1002/sim.7428>), - TEPI (toxicity and efficacy probability interval design; Li, D. H., Whitmore, J. B., Guo, W., & Ji, Y. (2017) <doi:10.1158/1078-0432.CCR-16-1125>), - uTPI (utility-based toxicity Probabi [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: trialr, Iso
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-27 21:35:29 UTC; angela
Repository: CRAN
Date/Publication: 2025-09-02 06:30:02 UTC

More information about phase12designs at CRAN
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New package MLmorph with initial version 0.1.0
Package: MLmorph
Title: Integrating Morphological Modeling and Machine Learning for Decision Support
Version: 0.1.0
Description: Integrating morphological modeling with machine learning to support structured decision-making (e.g., in management and consulting). The package enumerates a morphospace of feasible configurations and uses random forests to estimate class probabilities over that space, bridging deductive model exploration with empirical validation. It includes utilities for factorizing inputs, model training, morphospace construction, and an interactive 'shiny' app for scenario exploration.
License: MIT + file LICENSE
URL: https://github.com/theogrost/MLmorph
BugReports: https://github.com/theogrost/MLmorph/issues
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: caret (>= 6.0.94), jsonlite (>= 1.8.8), magrittr, openxlsx (>= 4.2.5.2), randomForest (>= 4.7.1.1), shiny (>= 1.10.0), stats (>= 4.3.0), tidyr (>= 1.3.1), utils (>= 4.3.0)
Suggests: testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2025-08-27 19:06:23 UTC; theog
Author: Oskar Kosch [aut, cre, cph]
Maintainer: Oskar Kosch <contact@oskarkosch.com>
Repository: CRAN
Date/Publication: 2025-09-02 06:20:02 UTC

More information about MLmorph at CRAN
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New package flex with initial version 0.1.0
Package: flex
Title: Fuzzy Linear Squares Estimation with Explicit Formula (FLEX)
Version: 0.1.0
Date: 2025-08-27
Description: The FLEX method, developed by Yoon and Choi (2013) <doi:10.1007/978-3-642-33042-1_21>, performs least squares estimation for fuzzy predictors and outcomes, generating crisp regression coefficients by minimizing the distance between observed and predicted outcomes. It also provides functions for fuzzifying data and inference tasks, including significance testing, fit indices, and confidence interval estimation.
License: MIT + file LICENSE
BugReports: https://github.com/cwlee-quantpsych/flex/issues
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: ggplot2, plotly, rlang, magrittr
NeedsCompilation: no
Packaged: 2025-08-27 21:23:07 UTC; chaewon
Author: Chaewon Lee [aut, cre], Jin Hee Yoon [ctb]
Maintainer: Chaewon Lee <chaewon.lee@unc.edu>
Repository: CRAN
Date/Publication: 2025-09-02 06:30:07 UTC

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New package trendtestR with initial version 1.0.1
Package: trendtestR
Title: Exploratory Trend Analysis and Visualization for Time-Series and Grouped Data
Version: 1.0.1
Description: Provides a set of exploratory data analysis (EDA) tools for visualizing trends, diagnosing data types for beginner-friendly workflows, and automatically routing to suitable statistical tests or trend exploration models. Includes unified plotting functions for trend lines, grouped boxplots, and comparative scatterplots; automated statistical testing (e.g., t-test, Wilcoxon, ANOVA, Kruskal-Wallis, Tukey, Dunn) with optional effect size calculation; and model-based trend analysis using generalized additive models (GAM) for count data, generalized linear models (GLM) for continuous data, and zero-inflated models (ZIP/ZINB) for count data with potential zero-inflation. Also supports time-window continuity checks, cross-year handling in compare_monthly_cases(), and ARIMA-ready preparation with stationarity diagnostics, ensuring consistent parameter styles for reproducible research and user-friendly workflows.Methods are based on R Core Team (2024) <https://www.R-project.org/>, Wood, S. [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, ggplot2 (>= 3.3.0), lubridate, emmeans, e1071, forecast, MASS, multcomp, tidyselect, tidyr, tseries, car, FSA, ggpubr, rlang, splines, pscl, mgcv
Suggests: testthat (>= 3.0.0), mockr, knitr, rmarkdown
URL: https://github.com/GrahnH/trendtestR
BugReports: https://github.com/GrahnH/trendtestR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-27 15:32:51 UTC; 10025
Author: Gelan Huang [aut, cre]
Maintainer: Gelan Huang <huanggelan97@icloud.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-02 05:40:02 UTC

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New package rvolleydata with initial version 1.0.0
Package: rvolleydata
Title: Extract Data from Professional Volleyball Leagues in North America
Version: 1.0.0
Description: Gather boxscore, play-by-play, and auxiliary data from Major League Volleyball (MLV) <https://provolleyball.com>, League One Volleyball Pro (LOVB Pro) <https://www.lovb.com/pro-league>, and Athletes Unlimited Pro Volleyball <https://auprosports.com/volleyball/> to create a repository of basic and advanced statistics for teams and players.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/awosoga/rvolleydata, https://awosoga.github.io/rvolleydata/
BugReports: https://github.com/awosoga/rvolleydata/issues
Depends: R (>= 4.1.0)
Imports: dplyr, lubridate, readr, tibble
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-27 15:18:40 UTC; ddawosog
Author: David Awosoga [aut, cre, cph] , Matthew Chow [aut] , Ryan Du [aut]
Maintainer: David Awosoga <odo.awosoga@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-02 05:30:01 UTC

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New package RobustMetrics with initial version 0.1.1
Package: RobustMetrics
Title: Calculates Robust Performance Metrics for Imbalanced Classification Problems
Version: 0.1.1
Maintainer: Bernhard Klar <bernhard.klar@kit.edu>
Description: Calculates robust Matthews Correlation Coefficient (MCC) and robust F-Beta Scores, as introduced by Holzmann and Klar (2024) <doi:10.48550/arXiv.2404.07661>. These performance metrics are designed for imbalanced classification problems. Plots the receiver operating characteristic curve (ROC curve) together with the recall / 1-precision curve.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/BernhardKlar/RobustMetrics
BugReports: https://github.com/BernhardKlar/RobustMetrics/issues
NeedsCompilation: no
Packaged: 2025-08-27 14:14:55 UTC; Klar
Author: Bernhard Klar [aut, cre], Hajo Holzmann [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-02 05:30:07 UTC

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New package regress3d with initial version 1.0.0
Package: regress3d
Title: Create 3D Regression Surfaces
Version: 1.0.0
Description: Plot regression surfaces and marginal effects in three dimensions. The plots are 'plotly' objects and can be customized using functions and arguments from the 'plotly' package.
License: GPL (>= 3)
Encoding: UTF-8
Imports: broom, dplyr, magrittr, plotly, rlang, stats, tibble
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, scales, stargazer, testthat (>= 3.0.0)
URL: https://github.com/ellaFosterMolina/regress3d, https://ellafostermolina.github.io/regress3d/
BugReports: https://github.com/ellaFosterMolina/regress3d/issues
NeedsCompilation: no
Packaged: 2025-08-27 17:50:39 UTC; Ella
Author: Ella Foster-Molina [aut, cre, cph]
Maintainer: Ella Foster-Molina <ella.fostermolina@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-02 05:40:07 UTC

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New package multiScaleR with initial version 0.4.5
Package: multiScaleR
Title: Methods for Optimizing Scales of Effect
Version: 0.4.5
Description: A tool for optimizing scales of effect when modeling ecological processes in space. Specifically, the scale parameter of a distance-weighted kernel distribution is identified for all environmental layers included in the model. Includes functions to assist in model selection, model evaluation, efficient transformation of raster surfaces using fast Fourier transformation, and projecting models. For more details see Peterman (2025) <doi:10.21203/rs.3.rs-7246115/v1>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp, Matrix, cowplot, dplyr, fields, ggplot2, insight, stats, utils, unmarked, exactextractr, crayon, parallel, optimParallel, AICcmodavg, methods, pscl
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.3), terra, sf
Suggests: knitr, rmarkdown
URL: https://github.com/wpeterman/multiScaleR
BugReports: https://github.com/wpeterman/multiScaleR/issues
BuildVignettes: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-08-27 15:32:19 UTC; peterman.73
Author: Bill Peterman [aut, cre]
Maintainer: Bill Peterman <Peterman.73@osu.edu>
Repository: CRAN
Date/Publication: 2025-09-02 05:40:12 UTC

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New package mitey with initial version 0.2.0
Package: mitey
Title: Serial Interval and Case Reproduction Number Estimation
Version: 0.2.0
Description: Provides methods to estimate serial intervals and time-varying case reproduction numbers from infectious disease outbreak data. Serial intervals measure the time between symptom onset in linked transmission pairs, while case reproduction numbers quantify how many secondary cases each infected individual generates over time. These parameters are essential for understanding transmission dynamics, evaluating control measures, and informing public health responses. The package implements the maximum likelihood framework from Vink et al. (2014) <doi:10.1093/aje/kwu209> for serial interval estimation and the retrospective method from Wallinga & Lipsitch (2007) <doi:10.1098/rspb.2006.3754> for reproduction number estimation. Originally developed for scabies transmission analysis but applicable to other infectious diseases including influenza, COVID-19, and emerging pathogens. Designed for epidemiologists, public health researchers, and infectious disease modelers working with [...truncated...]
Date: 2025-08-16
License: EUPL-1.2
Encoding: UTF-8
Imports: fdrtool, ggplot2, stats
URL: https://github.com/kylieainslie/mitey, https://kylieainslie.github.io/mitey/
BugReports: https://github.com/kylieainslie/mitey/issues
Suggests: brms, broom, cowplot, dplyr, EpiLPS, flextable, forcats, ftExtra, ggridges, gt, here, ISOweek, knitr, lubridate, officer, openxlsx, outbreaks, purrr, rmarkdown, stringr, testthat (>= 3.0.0), tidybayes, tidyr, viridis, zoo
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-08-27 15:22:05 UTC; kylieainslie
Author: Kylie Ainslie [aut, cre, cph]
Maintainer: Kylie Ainslie <ainslie.kylie@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-02 05:40:18 UTC

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Mon, 01 Sep 2025

New package resourcecodedata with initial version 1.0.0
Package: resourcecodedata
Title: Resourcecode Database Configuration Data
Version: 1.0.0
Description: Includes Resourcecode hindcast database (see <https://resourcecode.ifremer.fr>) configuration data: nodes locations for both the sea-state parameters and the spectra data; examples of time series of 1D and 2D surface elevation variance spectral density.
License: GPL (>= 3)
URL: https://github.com/Resourcecode-project/r-resourcecodedata/, https://resourcecode-project.r-universe.dev/resourcecodedata/, https://resourcecode-project.github.io/r-resourcecodedata/
BugReports: https://github.com/Resourcecode-project/r-resourcecodedata/issues
Depends: R (>= 3.5)
Encoding: UTF-8
Language: en-GB
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-08-27 11:56:10 UTC; nraillar
Author: Nicolas Raillard [aut, cre]
Maintainer: Nicolas Raillard <nicolas.raillard@ifremer.fr>
Repository: CRAN
Date/Publication: 2025-09-01 17:20:02 UTC

More information about resourcecodedata at CRAN
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New package OmicFlow with initial version 1.3.0
Package: OmicFlow
Title: Fast and Efficient (Automated) Analysis of Sparse Omics Data
Version: 1.3.0
Date: 2025-08-27
Description: A generalised data structure for fast and efficient loading and data munching of sparse omics data. The 'OmicFlow' requires an up-front validated metadata template from the user, which serves as a guide to connect all the pieces together by aligning them into a single object that is defined as an 'omics' class. Once this unified structure is established, users can perform manual subsetting, visualisation, and statistical analysis, or leverage the automated 'autoFlow' method to generate a comprehensive report.
License: MIT + file LICENSE
URL: https://github.com/agusinac/OmicFlow
BugReports: https://github.com/agusinac/OmicFlow/issues
Encoding: UTF-8
Depends: R (>= 4.3.0), R6, data.table, Matrix
Imports: ape, gghalves, ggpubr, ggrepel, jsonlite, jsonvalidate, magrittr, patchwork, purrr, rbiom, RColorBrewer, rhdf5, rstatix, slam, stats, tools, utils, vegan, viridis, yyjsonr, methods, ggplot2
Suggests: DT, downloadthis, rmarkdown, cli, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-08-27 12:09:57 UTC; Z289224
Author: Alem Gusinac [aut, cre] , Thomas Ederveen [aut] , Annemarie Boleij [aut, fnd]
Maintainer: Alem Gusinac <alem.gusinac@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-01 17:20:19 UTC

More information about OmicFlow at CRAN
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New package metamorphr with initial version 0.1.1
Package: metamorphr
Title: Tidy and Streamlined Metabolomics Data Workflows
Version: 0.1.1
Description: Facilitate tasks typically encountered during metabolomics data analysis including data import, filtering, missing value imputation (Stacklies et al. (2007) <doi:10.1093/bioinformatics/btm069>, Stekhoven et al. (2012) <doi:10.1093/bioinformatics/btr597>, Tibshirani et al. (2017) <doi:10.18129/B9.BIOC.IMPUTE>, Troyanskaya et al. (2001) <doi:10.1093/bioinformatics/17.6.520>), normalization (Bolstad et al. (2003) <doi:10.1093/bioinformatics/19.2.185>, Dieterle et al. (2006) <doi:10.1021/ac051632c >, Zhao et al. (2020) <doi:10.1038/s41598-020-72664-6>) transformation, centering and scaling (Van Den Berg et al. (2006) <doi:10.1186/1471-2164-7-142>) as well as statistical tests and plotting. 'metamorphr' introduces a tidy (Wickham et al. (2019) <doi:10.21105/joss.01686>) format for metabolomics data and is designed to make it easier to build elaborate analysis workflows and to integrate them with 'tidyverse' packages including 'dplyr' and [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: broom, crayon, dplyr, ggplot2, impute, magrittr, missForest, pcaMethods, purrr, readr, rlang, stats, stringi, tibble, tidyr, utils, vctrs, withr
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, KODAMA, qsmooth, rmarkdown, stringr, testthat (>= 3.0.0)
URL: https://github.com/yasche/metamorphr
BugReports: https://github.com/yasche/metamorphr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-27 09:03:22 UTC; Administrator
Author: Yannik Schermer [aut, cre, cph]
Maintainer: Yannik Schermer <yannik.schermer@chem.rptu.de>
Repository: CRAN
Date/Publication: 2025-09-01 17:10:09 UTC

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New package firestorm with initial version 0.1.0
Package: firestorm
Title: Reverse Proxy and Load Balancing for 'fiery'
Version: 0.1.0
Description: Provides plugins for setting up 'fiery' apps as a reverse proxy. This allows you to use a 'fiery' server as a front for multiple services or even work as a load-balancer.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, R6, rlang, websocket
URL: https://github.com/thomasp85/firestorm
BugReports: https://github.com/thomasp85/firestorm/issues
Suggests: fiery (>= 1.3.0), httpuv, later, reqres (>= 1.0.0), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-08-27 11:01:41 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2025-09-01 17:10:17 UTC

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New package ebrahim.gof with initial version 1.0.0
Package: ebrahim.gof
Title: Ebrahim-Farrington Goodness-of-Fit Test for Logistic Regression
Version: 1.0.0
Date: 2025-08-20
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>
Description: Implements the Ebrahim-Farrington goodness-of-fit test for logistic regression models, particularly effective for sparse data and binary outcomes. This test provides an improved alternative to the traditional Hosmer-Lemeshow test by using a modified Pearson chi-square statistic with data-dependent grouping. The test is based on Farrington (1996) theoretical framework but simplified for practical implementation with binary data. Includes functions for both the original Farrington test (for grouped data) and the new Ebrahim-Farrington test (for binary data with automatic grouping). For more details see Hosmer (1980) <doi:10.1080/03610928008827941> and Farrington (1996) <doi:10.1111/j.2517-6161.1996.tb02086.x>.
License: GPL-3
URL: https://github.com/ebrahimkhaled/ebrahim.gof
BugReports: https://github.com/ebrahimkhaled/ebrahim.gof/issues
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ResourceSelection, ggplot2
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-27 09:05:01 UTC; ebrah
Author: Ebrahim Khaled Ebrahim [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-01 17:10:22 UTC

More information about ebrahim.gof at CRAN
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New package cobin with initial version 1.0.1.3
Package: cobin
Title: Cobin and Micobin Regression Models for Continuous Proportional Data
Version: 1.0.1.3
Description: Provides functions for cobin and micobin regression models, a new family of generalized linear models for continuous proportional data (Y in the closed unit interval [0, 1]). It also includes an exact, efficient sampler for the Kolmogorov-Gamma random variable. For details, see Lee et al. (2025+) <doi:10.48550/arXiv.2504.15269>.
License: MIT + file LICENSE
URL: https://github.com/changwoo-lee/cobin
BugReports: https://github.com/changwoo-lee/cobin/issues
Encoding: UTF-8
LinkingTo: Rcpp
Imports: coda, fields, lme4, Matrix, matrixStats, methods, Rcpp, spam, spNNGP, stats, utils
Suggests: betareg
NeedsCompilation: yes
Packaged: 2025-08-27 03:21:29 UTC; clee
Author: Changwoo Lee [aut, cre], Benjamin Dahl [aut], Otso Ovaskainen [aut], David Dunson [aut]
Maintainer: Changwoo Lee <changwoo.lee@duke.edu>
Repository: CRAN
Date/Publication: 2025-09-01 17:10:27 UTC

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New package blosc with initial version 0.0.6
Package: blosc
Title: Compress and Decompress Data Using the 'BLOSC' Library
Version: 0.0.6
Description: Arrays of structured data types can require large volumes of disk space to store. 'Blosc' is a library that provides a fast and efficient way to compress such data. It is often applied in storage of n-dimensional arrays, such as in the case of the geo-spatial 'zarr' file format. This package can be used to compress and decompress data using 'Blosc'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.3)
Suggests: dplyr, knitr, reticulate, rmarkdown, testthat (>= 3.0.0)
LinkingTo: cpp11
URL: https://pepijn-devries.github.io/blosc/, https://github.com/pepijn-devries/blosc/
BugReports: https://github.com/pepijn-devries/blosc/issues
SystemRequirements: blosc: blosc-devel (rpm) or libblosc-dev (deb)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-08-27 13:02:10 UTC; vries171
Author: Pepijn de Vries [aut, cre] , Chris Maiwald [cph], Alexander Gessler [cph]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Repository: CRAN
Date/Publication: 2025-09-01 17:20:14 UTC

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New package shinytesters with initial version 0.1.0
Package: shinytesters
Title: Update 'Shiny' Inputs when using testServer()
Version: 0.1.0
Description: Create mocked bindings to 'Shiny' update functions within test function calls to automatically update input values. The mocked bindings simulate the communication between the server and UI components of a 'Shiny' module in testServer().
URL: https://ashbaldry.github.io/shinytesters/
BugReports: https://github.com/ashbaldry/shinytesters/issues
License: GPL-3
Encoding: UTF-8
Imports: cli, rlang
Suggests: knitr, rmarkdown, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2025-08-27 08:18:44 UTC; ashley.baldry
Author: Ashley Baldry [aut, cre]
Maintainer: Ashley Baldry <arbaldry91@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-01 17:00:07 UTC

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New package SemanticDistance with initial version 0.1.1
Package: SemanticDistance
Version: 0.1.1
Title: Compute Semantic Distance Between Text Constituents
Maintainer: Jamie Reilly <jamie_reilly@temple.edu>
Description: Cleans and formats language transcripts guided by a series of transformation options (e.g., lemmatize words, omit stopwords, split strings across rows). 'SemanticDistance' computes two distinct metrics of cosine semantic distance (experiential and embedding). These values reflect pairwise cosine distance between different elements or chunks of a language sample. 'SemanticDistance' can process monologues (e.g., stories, ordered text), dialogues (e.g., conversation transcripts), word pairs arrayed in columns, and unordered word lists. Users specify options for how they wish to chunk distance calculations. These options include: rolling ngram-to-word distance (window of n-words to each new word), ngram-to-ngram distance (2-word chunk to the next 2-word chunk), pairwise distance between words arrayed in columns, matrix comparisons (i.e., all possible pairwise distances between words in an unordered list), turn-by-turn distance (talker to talker in a dialogue transcript). 'SemanticDistance' [...truncated...]
License: LGPL (>= 3)
Encoding: UTF-8
URL: https://github.com/Reilly-ConceptsCognitionLab/SemanticDistance, https://reilly-conceptscognitionlab.github.io/SemanticDistance/
BugReports: https://github.com/Reilly-ConceptsCognitionLab/SemanticDistance/issues
Depends: R (>= 3.5)
Imports: ape, cluster, dendextend, dplyr, graphics, httr, igraph, lsa, magrittr, purrr, rlang, stats, stringi, stringr, textstem, tidyselect, tm, tidyr, textclean, tools, utils, wesanderson,
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-27 08:02:07 UTC; Jamie
Author: Jamie Reilly [aut, cre] , Emily B. Myers [aut], Hannah R. Mechtenberg [aut], Jonathan E. Peelle [aut]
Repository: CRAN
Date/Publication: 2025-09-01 16:50:02 UTC

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New package QQreflimits with initial version 1.0.3
Package: QQreflimits
Version: 1.0.3
Title: Reference Limits using QQ Methodology
Author: Douglas M. Hawkins [aut], Jessica J. Kraker [aut, cre]
Maintainer: Jessica J. Kraker <krakerjj@uwec.edu>
Depends: R (>= 3.6.0)
Suggests: testthat (>= 3.0.0)
Imports: stats
Description: A collection of routines for finding reference limits using, where appropriate, QQ methodology. All use a data vector X of cases from the reference population. The default is to get the central 95% reference range of the population, namely the 2.5 and 97.5 percentile, with optional adjustment of the range. Along with the reference limits, we want confidence intervals which, for historical reasons, are typically at 90% confidence. A full analysis provides six numbers: – the upper and the lower reference limits, and - each of their confidence intervals. For application details, see Hawkins and Esquivel (2024) <doi:10.1093/jalm/jfad109>.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-27 00:22:31 UTC; jjkra
Repository: CRAN
Date/Publication: 2025-09-01 16:50:07 UTC

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New package hcruR with initial version 1.0.0
Package: hcruR
Title: Estimate, Compare, and Visualize Healthcare Resource Utilization for Real-World Evidence
Version: 1.0.0
Description: Tools to estimate, compare, and visualize healthcare resource utilization using data derived from electronic health records or real-world evidence sources. The package supports pre index and post index analysis, patient cohort comparison, and customizable summaries and visualizations for clinical and health economics research. Methods implemented are based on Scott et al. (2022) <doi:10.1080/13696998.2022.2037917> and Xia et al. (2024) <doi:10.14309/ajg.0000000000002901>.
Depends: R (>= 4.2.0)
Imports: checkmate, dplyr, ggplot2, glue, gtsummary, purrr, rlang
Suggests: covr, devtools, knitr, pkgdown, remotes, rmarkdown, testthat (>= 3.0.0), tibble
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Language: en-US
VignetteBuilder: knitr, rmarkdown
BugReports: https://github.com/mumbarkar/hcruR/issues
URL: https://github.com/mumbarkar/hcruR
NeedsCompilation: no
Packaged: 2025-08-27 08:38:07 UTC; lenovo
Author: Maheshkumar Umbarkar [aut, cre, cph], Safiuddin Shoeb Syed [ctb]
Maintainer: Maheshkumar Umbarkar <maheshubr30@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-01 17:00:31 UTC

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New package powerbrmsINLA with initial version 1.0.0
Package: powerbrmsINLA
Title: Bayesian Power Analysis Using 'brms' and 'INLA'
Version: 1.0.0
Maintainer: Tony Myers <admyers@aol.com>
Description: Provides tools for Bayesian power analysis and assurance calculations using the statistical frameworks of 'brms' and 'INLA'. Includes simulation-based approaches, support for multiple decision rules (direction, threshold, ROPE), sequential designs, and visualisation helpers. Methods are based on Kruschke (2014, ISBN:9780124058880) "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan", O'Hagan & Stevens (2001) <doi:10.1177/0272989X0102100307> "Bayesian Assessment of Sample Size for Clinical Trials of Cost-Effectiveness", Kruschke (2018) <doi:10.1177/2515245918771304> "Rejecting or Accepting Parameter Values in Bayesian Estimation", Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations", and Bürkner (2017) <doi:10.18637/jss.v080.i01> "brms: An R Package for Bayesian Multilevel Models using Stan".
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: brms (>= 2.19.0), dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), rlang (>= 1.1.0), tibble (>= 3.2.0), scales (>= 1.2.0), viridisLite (>= 0.4.0), stats, utils, magrittr (>= 2.0.0)
Suggests: INLA (>= 22.05.07), testthat (>= 3.0.0), rmarkdown, MASS, circular, sn
URL: https://github.com/Tony-Myers/powerbrmsINLA
BugReports: https://github.com/Tony-Myers/powerbrmsINLA/issues
Additional_repositories: https://inla.r-inla-download.org/R/stable
NeedsCompilation: no
Packaged: 2025-08-26 05:27:37 UTC; user
Author: Tony Myers [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-01 09:20:10 UTC

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New package phsopendata with initial version 1.0.0
Package: phsopendata
Title: Extract from the Scottish Health and Social Care Open Data Platform
Version: 1.0.0
Description: Extract and interact with data from the Scottish Health and Social Care Open Data platform <https://www.opendata.nhs.scot>.
License: MIT + file LICENSE
URL: https://github.com/Public-Health-Scotland/phsopendata, https://public-health-scotland.github.io/phsopendata/
BugReports: https://github.com/Public-Health-Scotland/phsopendata/issues
Imports: cli (>= 3.2.0), dplyr (>= 1.0.0), httr (>= 1.0.0), magrittr (>= 1.0.0), purrr (>= 1.0.0), rlang (>= 1.0.0), stringdist, tibble (>= 3.0.0)
Suggests: covr, jsonlite (>= 1.1), readr (>= 1.0.0), testthat (>= 3.0.0), xml2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-26 13:24:35 UTC; csills01
Author: Public Health Scotland [cph], Csilla Scharle [aut, cre], James Hayes [aut] , David Aikman [aut], Ross Hull [aut]
Maintainer: Csilla Scharle <csilla.scharle2@phs.scot>
Repository: CRAN
Date/Publication: 2025-09-01 09:50:02 UTC

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New package MultANOVA with initial version 1.0.1
Package: MultANOVA
Title: Analysis of Designed High-Dimensional Data using the Comprehensive MultANOVA Framework
Version: 1.0.1
Description: A comprehensive and computationally fast framework to analyze high dimensional data associated with an experimental design based on Multiple ANOVAs (MultANOVA). It includes testing the overall significance of terms in the model, post-hoc analyses of significant terms and variable selection. Details may be found in Mahieu, B., & Cariou, V. (2025). MultANOVA Followed by Post Hoc Analyses for Designed High‐Dimensional Data: A Comprehensive Framework That Outperforms ASCA, rMANOVA, and VASCA. Journal of Chemometrics, 39(7). <doi:10.1002/cem.70039>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0)
LazyData: false
Imports: ellipse, ggplot2, ggrepel, stats
NeedsCompilation: no
Packaged: 2025-08-26 08:52:09 UTC; benjamin.mahieu
Author: Benjamin Mahieu [aut, cre], Veronique Cariou [aut]
Maintainer: Benjamin Mahieu <benjamin.mahieu@oniris-nantes.fr>
Repository: CRAN
Date/Publication: 2025-09-01 09:50:12 UTC

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New package MuFiMeshGP with initial version 0.0.1
Package: MuFiMeshGP
Title: Multi-Fidelity Emulator for Computer Experiments with Tunable Fidelity Levels
Version: 0.0.1
Date: 2025-08-11
Description: Multi-Fidelity emulator for data from computer simulations of the same underlying system but at different input locations and fidelity level, where both the input locations and fidelity level can be continuous. Active Learning can be performed with an implementation of the Integrated Mean Square Prediction Error (IMSPE) criterion developed by Boutelet and Sung (2025, <doi:10.48550/arXiv.2503.23158>).
License: LGPL (>= 2)
Encoding: UTF-8
Imports: lhs, parallel, methods, Rcpp
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-08-26 15:22:26 UTC; rboutelet
Author: Romain Boutelet [aut, cre], Chih-Li Sung [aut]
Maintainer: Romain Boutelet <boutelet@msu.edu>
Repository: CRAN
Date/Publication: 2025-09-01 09:50:16 UTC

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New package minimaxALT with initial version 1.0.0
Package: minimaxALT
Title: Generate Optimal Designs of Accelerated Life Test using PSO-Based Algorithm
Version: 1.0.0
Encoding: UTF-8
License: GPL (>= 3)
Description: A computationally efficient solution for generating optimal experimental designs in Accelerated Life Testing (ALT). Leveraging a Particle Swarm Optimization (PSO)-based hybrid algorithm, the package identifies optimal test plans that minimize estimation variance under specified failure models and stress profiles. For more detailed, see Lee et al. (2025), Optimal Robust Strategies for Accelerated Life Tests and Fatigue Testing of Polymer Composite Materials, submitted to Annals of Applied Statistics, <https://imstat.org/journals-and-publications/annals-of-applied-statistics/annals-of-applied-statistics-next-issues/>, and Hoang (2025), Model-Robust Minimax Design of Accelerated Life Tests via PSO-based Hybrid Algorithm, Master' Thesis, Unpublished.
SystemRequirements: GNU Scientific Library (GSL), OpenMP
Imports: Rcpp (>= 1.0.11), RcppArmadillo (>= 14.0.0.1), RcppGSL (>= 0.3.13), ggplot2 (>= 3.0.0), parallel (>= 4.0.0), stats, graphics
Depends: R (>= 4.0.0)
LinkingTo: Rcpp (>= 1.0.11), RcppArmadillo (>= 14.0.0.1), RcppGSL (>= 0.3.13)
URL: https://github.com/hoanglinh171/minimaxALT
BugReports: https://github.com/hoanglinh171/minimaxALT/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-08-26 11:13:26 UTC; lu
Author: Hoai-Linh Hoang [aut, cre], I-Chen Lee [aut], Ping-Yang Chen [aut], Ray-Bing Chen [aut], Weng Kee Wong [aut]
Maintainer: Hoai-Linh Hoang <hoailinh.hoang17@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-01 09:30:02 UTC

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New package lpanda with initial version 0.1.1
Package: lpanda
Title: Local Political Actor Network Diachronic Analysis Tools
Version: 0.1.1
Description: Provides functions to prepare, visualize, and analyse diachronic network data on local political actors, with a particular focus on the development of local party systems and identification of actor groups. Formalizes and automates a continuity diagram method that has been previously applied in research on Czech local politics, e.g. Bubenicek and Kubalek (2010, ISSN:1803-8220), Kubalek and Bubenicek (2012, ISSN:1803-8220), and Cmejrek, Bubenicek, and Copik (2010, ISBN:978-80-247-3061-5).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, igraph (>= 2.1.0), magrittr, RColorBrewer, scales
Suggests: testthat (>= 3.0.0)
URL: https://github.com/localpolitics/lpanda
BugReports: https://github.com/localpolitics/lpanda/issues
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-25 23:28:13 UTC; vasco
Author: Vaclav Bubenicek [aut, cre, cph]
Maintainer: Vaclav Bubenicek <bubenicek@pef.czu.cz>
Repository: CRAN
Date/Publication: 2025-09-01 09:10:07 UTC

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New package inphr with initial version 0.0.1
Package: inphr
Title: Statistical Inference for Persistence Homology Data
Version: 0.0.1
Description: A set of functions for performing null hypothesis testing on samples of persistence diagrams using the theory of permutations. Currently, only two-sample testing is implemented. Inputs can be either samples of persistence diagrams themselves or vectorizations. In the former case, they are embedded in a metric space using either the Bottleneck or Wasserstein distance. In the former case, persistence data becomes functional data and inference is performed using tools available in the 'fdatest' package. Main reference for the interval-wise testing method: Pini A., Vantini S. (2017) "Interval-wise testing for functional data" <doi:10.1080/10485252.2017.1306627>. Main reference for inference on populations of networks: Lovato, I., Pini, A., Stamm, A., & Vantini, S. (2020) "Model-free two-sample test for network-valued data" <doi:10.1016/j.csda.2019.106896>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/tdaverse/inphr, https://tdaverse.github.io/inphr/
BugReports: https://github.com/tdaverse/inphr/issues
Imports: cli, fdatest, flipr, phutil, rlang, TDAvec
Depends: R (>= 3.5)
LazyData: true
Suggests: tinytest
NeedsCompilation: no
Packaged: 2025-08-26 15:15:19 UTC; stamm-a
Author: Aymeric Stamm [aut, cre]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>
Repository: CRAN
Date/Publication: 2025-09-01 09:50:07 UTC

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New package SouthKoreAPIs with initial version 0.1.0
Package: SouthKoreAPIs
Title: Access South Korean Data via Public APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to South Korea, such as holidays, economic indicators, and international demographic and geopolitical indicators. Additionally, the package includes one of the largest curated collections of open datasets focused on South Korea, covering topics such as public health outbreaks, demographics, social surveys, elections, economic indicators, natural disasters, administrative divisions, air quality, climate data, energy consumption, cultural information, and financial markets. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' <https://date.nager.at/Api>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, [...truncated...]
License: MIT + file LICENSE
Language: en
URL: https://github.com/lightbluetitan/southkoreapis, https://lightbluetitan.github.io/southkoreapis/
BugReports: https://github.com/lightbluetitan/southkoreapis/issues
Encoding: UTF-8
LazyData: true
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: 2025-08-25 20:33:32 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-01 09:00:02 UTC

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Fri, 29 Aug 2025

New package WSCdata with initial version 0.1.0
Package: WSCdata
Title: A New Four-Arm Within-Study Comparison Data on Math and Vocabulary Training
Version: 0.1.0
Description: This dataset was collected using a new four-arm within-study comparison design. The study aimed to examine the impact of a mathematics training intervention and a vocabulary study session on post-test scores in mathematics and vocabulary, respectively. The innovative four-arm within-study comparison design facilitates both experimental and quasi-experimental identification of average causal effects.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Suggests: testthat (>= 3.0.0), tidyverse
URL: https://github.com/jzangela/WSCdata
BugReports: https://github.com/jzangela/WSCdata/issues
NeedsCompilation: no
Packaged: 2025-08-25 18:35:38 UTC; Sunshine
Author: Bryan Keller [aut, cph], Sangbaek Park [ctb], Jingru Zhang [cre]
Maintainer: Jingru Zhang <jzhang2637@wisc.edu>
Repository: CRAN
Date/Publication: 2025-08-29 18:20:23 UTC

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New package shinypayload with initial version 0.1.0
Package: shinypayload
Title: Accept POST Data and URL Parameters in 'shiny' (Same-Port Integration)
Version: 0.1.0
Author: Pawan Rama Mali [aut, cre]
Maintainer: Pawan Rama Mali <prm@outlook.in>
Description: Handle POST requests on a custom path (e.g., /ingress) inside the same 'shiny' HTTP server using user interface functions and HTTP responses. Expose latest payload as a reactive and provide helpers for query parameters.
License: MIT + file LICENSE
URL: https://github.com/PawanRamaMali/shinypayload, https://pawanramamali.github.io/shinypayload/
BugReports: https://github.com/PawanRamaMali/shinypayload/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: shiny (>= 1.7.4), jsonlite
Suggests: testthat (>= 3.0.0), covr, styler, roxygen2, DT
NeedsCompilation: no
Packaged: 2025-08-25 17:40:38 UTC; alpine
Repository: CRAN
Date/Publication: 2025-08-29 18:10:08 UTC

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New package ptvalue with initial version 0.1.0
Package: ptvalue
Title: Working with Precision Teaching Values
Version: 0.1.0
Description: An implementation of an S3 class based on a double vector for storing and displaying precision teaching measures, representing a growing or a decaying (multiplicative) change between two frequencies. The main format method allows researchers to display measures (including data.frame) that respect the established conventions in the precision teaching community (i.e., prefixed multiplication or division symbol, displayed number <= 1). Basic multiplication and division methods are allowed and other useful functions are provided for creating, converting or inverting precision teaching measures. For more details, see Pennypacker, Gutierrez and Lindsley (2003, ISBN: 1-881317-13-7).
License: MIT + file LICENSE
URL: https://github.com/agkamel/ptvalue
BugReports: https://github.com/agkamel/ptvalue/issues
Imports: cli, rlang, vctrs
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-25 20:15:38 UTC; alexn
Author: Alexandre Gellen-Kamel [aut, cre, cph]
Maintainer: Alexandre Gellen-Kamel <kamel.ag@outlook.com>
Repository: CRAN
Date/Publication: 2025-08-29 18:40:02 UTC

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New package tastyR with initial version 0.1.0
Package: tastyR
Date: 2025-08-01
Title: Recipe Data from 'Allrecipes.com'
Version: 0.1.0
Description: A collection of recipe datasets scraped from <https://www.allrecipes.com/>, containing two complementary datasets: 'allrecipes' with 14,426 general recipes, and 'cuisines' with 2,218 recipes categorized by country of origin. Both datasets include comprehensive recipe information such as ingredients, nutritional facts (calories, fat, carbs, protein), cooking times (preparation and cooking), ratings, and review metadata. All data has been cleaned and standardized, ready for analysis.
License: CC0
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-25 13:02:44 UTC; Brian
Author: Brian Mubia [aut, cre]
Maintainer: Brian Mubia <mubia65@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-29 17:50:02 UTC

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New package Stype.est with initial version 0.1.0
Package: Stype.est
Title: S-Type Estimators
Version: 0.1.0
Description: Implements the S-type estimators, novel robust estimators for general linear regression models, addressing challenges such as outlier contamination and leverage points. This package introduces robust regression techniques to provide a robust alternative to classical methods and includes diagnostic tools for assessing model fit and performance. The methodology is based on the study, "Comparison of the Robust Methods in the General Linear Regression Model" by Sazak and Mutlu (2023). This package is designed for statisticians and applied researchers seeking advanced tools for robust regression analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: datasets, stats
Suggests: knitr, rmarkdown
URL: https://github.com/filizkrdg/S-type.est
BugReports: https://github.com/filizkrdg/S-type.est/issues
NeedsCompilation: no
Packaged: 2025-08-25 13:04:52 UTC; pc
Author: Hakan Savas Sazak [aut] , Filiz Karadag [cre] , Olgun Aydin [aut]
Maintainer: Filiz Karadag <filiz.karadag@ege.edu.tr>
Repository: CRAN
Date/Publication: 2025-08-29 17:50:07 UTC

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New package h3o with initial version 0.3.0
Package: h3o
Title: H3 Geospatial Indexing System
Version: 0.3.0
Description: A dependency free interface to the H3 geospatial indexing system utilizing the Rust library 'h3o' <https://github.com/HydroniumLabs/h3o> via the 'extendr' library <https://github.com/extendr/extendr>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.75
Imports: rlang, stats, vctrs
Suggests: sf, wk
Depends: R (>= 4.2)
URL: https://github.com/extendr/h3o, https://extendr.rs/h3o/
BugReports: https://github.com/extendr/h3o/issues
NeedsCompilation: yes
Packaged: 2025-08-24 15:17:51 UTC; kenne
Author: Josiah Parry [aut, cph] , Kenneth Vernon [cre, ctb]
Maintainer: Kenneth Vernon <kenneth.b.vernon@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-29 11:00:02 UTC

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New package gadjid with initial version 0.1.0
Package: gadjid
Title: Graph Adjustment Identification Distances for Causal Graphs
Version: 0.1.0
Description: Make efficient Rust implementations of graph adjustment identification distances available in R. These distances (based on ancestor, optimal, and parent adjustment) count how often the respective adjustment identification strategy leads to causal inferences that are incorrect relative to a ground-truth graph when applied to a candidate graph instead. See also Henckel, Würtzen, Weichwald (2024) <doi:10.48550/arXiv.2402.08616>.
License: MPL
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/CausalDisco/gadjid
BugReports: https://github.com/CausalDisco/gadjid/issues
NeedsCompilation: yes
Packaged: 2025-08-25 08:44:52 UTC; qbr527
Author: Sebastian Weichwald [aut, cph, cre], Theo Wuertzen [aut], Leonard Henckel [aut], Authors of the dependency Rust crates [ctb]
Maintainer: Sebastian Weichwald <sweichwald@math.ku.dk>
Repository: CRAN
Date/Publication: 2025-08-29 11:00:08 UTC

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Thu, 28 Aug 2025

New package stratcols with initial version 1.0.0
Package: stratcols
Title: Stratigraphic Columns and Order Metrics
Version: 1.0.0
Description: Quantify stratigraphic disorder using the metrics defined by Burgess (2016) <doi:10.2110/jsr.2016.10>. Contains a range of utility tools to construct and manipulate stratigraphic columns.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: StratigrapheR
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
URL: https://mindthegap-erc.github.io/stratcols/, https://github.com/MindTheGap-ERC/stratcols
BugReports: https://github.com/MindTheGap-ERC/stratcols/issues
NeedsCompilation: no
Packaged: 2025-08-25 08:22:28 UTC; hohma004
Author: Niklas Hohmann [aut, cre]
Maintainer: Niklas Hohmann <N.H.Hohmann@uu.nl>
Repository: CRAN
Date/Publication: 2025-08-28 13:40:02 UTC

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New package searchAnalyzeR with initial version 0.1.0
Package: searchAnalyzeR
Title: Advanced Analytics and Testing Framework for Systematic Review Search Strategies
Version: 0.1.0
Date: 2025-08-12
Description: Provides comprehensive analytics, reporting, and testing capabilities for systematic review search strategies. The package focuses on validating search performance, generating standardized 'PRISMA'-compliant reports, and ensuring reproducibility in evidence synthesis. Features include precision-recall analysis, cross-database performance comparison, benchmark validation against gold standards, sensitivity analysis, temporal coverage assessment, automated report generation, and statistical comparison of search strategies. Supports multiple export formats including 'CSV', 'Excel', 'RIS', 'BibTeX', and 'EndNote'. Includes tools for duplicate detection, search strategy optimization, cross-validation frameworks, meta-analysis of benchmark results, power analysis for study design, and reproducibility package creation. Optionally connects to 'PubMed' for direct database searching and real-time strategy comparison using the 'E-utilities' 'API'. Enhanced with bootstrap comparison methods, 'McNe [...truncated...]
License: GPL-3
URL: https://github.com/chaoliu-cl/searchAnalyzeR
BugReports: https://github.com/chaoliu-cl/searchAnalyzeR/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: R6 (>= 2.5.0), ggplot2 (>= 3.4.0), openxlsx (>= 4.2.5), stringdist (>= 0.9.10), lubridate (>= 1.9.0), digest (>= 0.6.31), stats, utils
Suggests: testthat (>= 3.0.0), covr (>= 3.6.0), dplyr (>= 1.1.0), shiny (>= 1.7.0), shinydashboard (>= 0.7.2), flexdashboard (>= 0.6.0), plotly (>= 4.10.0), DT (>= 0.27), boot (>= 1.3-28), pwr (>= 1.3-0), progress (>= 1.2.2), rmarkdown (>= 2.20), knitr (>= 1.42), glue (>= 1.6.0), rentrez (>= 1.2.3), xml2 (>= 1.3.0), readr (>= 2.1.0), jsonlite (>= 1.8.0), revtools, tidyr, patchwork, metagear
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-24 02:02:14 UTC; chaoliu
Author: Chao Liu [aut, cre]
Maintainer: Chao Liu <chaoliu@cedarville.edu>
Repository: CRAN
Date/Publication: 2025-08-28 13:10:02 UTC

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New package datacommons with initial version 0.1.0
Package: datacommons
Title: Client for the 'Google Data Commons API V2'
Version: 0.1.0
Description: Access the 'Google Data Commons API V2' <https://docs.datacommons.org/api/rest/v2/>. Data Commons provides programmatic access to statistical and demographic data from dozens of sources organized in a knowledge graph.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, cli
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, tidyr, stringr, ggplot2, scales, withr, httpuv
VignetteBuilder: knitr
URL: https://github.com/tidy-intelligence/r-datacommons, https://tidy-intelligence.github.io/r-datacommons/
BugReports: https://github.com/tidy-intelligence/r-datacommons/issues
NeedsCompilation: no
Packaged: 2025-08-24 15:01:01 UTC; krise
Author: Christoph Scheuch [aut, cre, cph] , Teal Emery [aut]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2025-08-28 13:20:02 UTC

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New package scPOEM with initial version 0.1.2
Package: scPOEM
Title: Single-Cell Meta-Path Based Omic Embedding
Version: 0.1.2
Author: Yuntong Hou [aut, cre] , Yan Zhong [aut, ctb] , Yongjian Yang [ctb] , Xinyue Zheng [ctb], James Cai [ctb] , Yeran Chen [ctb], Youshi Chang [ctb]
Description: Provide a workflow to jointly embed chromatin accessibility peaks and expressed genes into a shared low-dimensional space using paired single-cell ATAC-seq (scATAC-seq) and single-cell RNA-seq (scRNA-seq) data. It integrates regulatory relationships among peak-peak interactions (via 'Cicero'), peak-gene interactions (via Lasso, random forest, and XGBoost), and gene-gene interactions (via principal component regression). With the input of paired scATAC-seq and scRNA-seq data matrices, it assigns a low-dimensional feature vector to each gene and peak. Additionally, it supports the reconstruction of gene-gene network with low-dimensional projections (via epsilon-NN) and then the comparison of the networks of two conditions through manifold alignment implemented in 'scTenifoldNet'.
License: GPL (>= 2)
Encoding: UTF-8
Imports: methods, utils, stats, foreach (>= 1.5.2), doParallel (>= 1.0.17), tictoc (>= 1.2.1), Matrix (>= 1.6-3), glmnet (>= 4.1-8), xgboost (>= 1.7.10), reticulate, stringr, magrittr, scTenifoldNet, VGAM (>= 1.1-13), Biobase (>= 2.66.0), BiocGenerics (>= 0.52.0), monocle (>= 2.34.0), cicero (>= 1.24.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-08-23 14:04:03 UTC; qingzhi
Maintainer: Yuntong Hou <houyt223@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-28 09:00:02 UTC

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New package rcdf with initial version 0.1.0
Package: rcdf
Title: A Comprehensive Toolkit for Working with Encrypted Parquet Files
Version: 0.1.0
Description: Utilities for reading, writing, and managing RCDF files, including encryption and decryption support. It offers a flexible interface for handling data stored in encrypted Parquet format, along with metadata extraction, key management, and secure operations using Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) encryption.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
Imports: arrow, duckdb, haven, openxlsx, fs, zip, glue, utils (>= 4.0.0), openssl (>= 2.1.1), dplyr (>= 1.1.0), stringr (>= 1.4.0), jsonlite (>= 1.8.0), DBI (>= 1.1.0), RSQLite (>= 2.2.0), uuid (>= 0.1.2), methods
Suggests: rlang (>= 1.0.2), testthat (>= 3.0.0), cli, devtools, knitr, rmarkdown, mockery, tibble, withr, gt (>= 0.10.0)
BugReports: https://github.com/yng-me/rcdf/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://yng-me.github.io/rcdf/
NeedsCompilation: no
Packaged: 2025-08-23 05:43:52 UTC; bhasabdulsamad
Repository: CRAN
Date/Publication: 2025-08-28 08:50:02 UTC

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New package pECV with initial version 1.0.1
Package: pECV
Title: Entrywise Splitting Cross-Validation for Factor Models
Version: 1.0.1
Description: Implements entrywise splitting cross-validation (ECV) and its penalized variant (pECV) for selecting the number of factors in generalized factor models.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: stats, Rcpp (>= 1.0.0), irlba
Suggests: mirtjml, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/wangATsu/ECV
BugReports: https://github.com/wangATsu/ECV/issues
ByteCompile: true
NeedsCompilation: yes
Packaged: 2025-08-23 02:29:40 UTC; clswt-wangzhijing
Author: Zhijing Wang [aut, cre]
Maintainer: Zhijing Wang <wangzhijing@sjtu.edu.cn>
Repository: CRAN
Date/Publication: 2025-08-28 08:50:07 UTC

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New package ham with initial version 1.0.0
Package: ham
Title: Healthcare Analysis Methods
Version: 1.0.0
Description: Conducts analyses for healthcare program evaluations or intervention studies. Calculates regression analyses for standard ordinary least squares (OLS or linear) or logistic models. Performs regression models used for causal modeling such as differences-in-differences (DID) and interrupted time series (ITS) models. Provides limited interpretations of model results and a ranking of variable importance in models. Performs propensity score models, top-coding of model outcome variables, and can return new data with the newly formed variables. Also performs Cronbach's alpha for various scale items (e.g., survey questions). See Github URL for examples in the README file. For more details on the statistical methods, see Allen & Yen (1979, ISBN:0-8185-0283-5), Angrist & Pischke (2009, ISBN:9780691120355), Harrell (2016, ISBN:978-3-319-19424-0), Kline (1999, ISBN:9780415211581), and Linden (2015) <doi:10.1177/1536867X1501500208>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
URL: https://github.com/szuniga07/ham
BugReports: https://github.com/szuniga07/ham/issues
Imports: methods
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-08-23 03:28:31 UTC; szuni
Author: Stephen Zuniga [aut, cre, cph]
Maintainer: Stephen Zuniga <rms.shiny@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-28 08:50:11 UTC

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New package gridify with initial version 0.7.4
Package: gridify
Title: Enrich Figures and Tables with Custom Headers and Footers and More
Version: 0.7.4
Description: A simple and flexible tool designed to create enriched figures and tables by providing a way to add text around them through predefined or custom layouts. Any input which is convertible to 'grob' is supported, like 'ggplot', 'gt' or 'flextable'. Based on R 'grid' graphics, for more details see Paul Murrell (2018) <doi:10.1201/9780429422768>.
License: Apache License 2.0
URL: https://pharmaverse.github.io/gridify/
BugReports: https://github.com/pharmaverse/gridify/issues
Encoding: UTF-8
Imports: grid, methods
Suggests: flextable (>= 0.8.0), ggplot2, gridGraphics, gt (>= 0.11.0), gtable, knitr, magrittr, rmarkdown, rtables, rtables.officer, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2025-08-23 08:09:26 UTC; maciejnasinski
Author: Maciej Nasinski [aut, cre], Alexandra Wall [aut], Sarah Robson [aut], Pritish Dash [aut], Jennifer Winick-Ng [aut], Lily Nan [ctb], Alphonse Kwizera [ctb], Agota Bodoni [ctb], Eilis Meldrum-Dolan [ctb], Gary Cao [ctb], UCB S.A., Belgium [cph, fnd]
Maintainer: Maciej Nasinski <Maciej.Nasinski@ucb.com>
Repository: CRAN
Date/Publication: 2025-08-28 08:50:16 UTC

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New package GenOU with initial version 0.2.1
Package: GenOU
Title: Sequential Change-Point Tests for Generalized Ornstein-Uhlenbeck Processes
Version: 0.2.1
Description: Sequential change-point tests, parameters estimation, and goodness-of-fit tests for generalized Ornstein-Uhlenbeck processes.
Depends: R (>= 3.5.0), doParallel, parallel, foreach, stats
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-23 01:27:06 UTC; Utilisateur
Author: Yunhong Lyu [aut, ctb, cph], Bouchra R. Nasri [aut, ctb, cph], Bruno N Remillard [aut, cre, cph]
Maintainer: Bruno N Remillard <bruno.remillard@hec.ca>
Repository: CRAN
Date/Publication: 2025-08-28 08:40:02 UTC

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New package calms with initial version 1.0-1
Package: calms
Title: Comprehensive Analysis of Latent Means
Version: 1.0-1
Encoding: UTF-8
Date: 2025-07-28
Author: Kim Nimon [aut, cre], Julia Fulmore [aut]
Maintainer: Kim Nimon <kim.nimon@gmail.com>
Depends: R (>= 3.5)
Imports: dplyr,DT,foreign,lavaan,lsr,MatchIt,shiny,shinyjs,stringr,bslib
Description: Provides a Shiny application to conduct comprehensive analysis of latent means including the examination of group equivalency, propensity score analysis, measurement invariance analysis, and assessment of latent mean differences of equivalent groups with invariant data. Group equivalency and propensity score analyses are implemented using the 'MatchIt' package [Ho et al. (2011) <doi:10.18637/jss.v042.i08>], ensuring robust control for covariates. Structural equation modeling and invariance testing rely heavily on the 'lavaan' package [Rosseel (2012) <doi:10.18637/jss.v048.i02>], providing a flexible and powerful modeling framework. The application also integrates modified functions from Hammack-Brown et al. (2021) <doi:10.1002/hrdq.21452> to support factor ratio testing and the list-and-delete procedure.
Suggests: knitr,rmarkdown
License: GPL (>= 2)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-23 13:08:06 UTC; kimnimon
Repository: CRAN
Date/Publication: 2025-08-28 09:00:07 UTC

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New package auxvecLASSO with initial version 0.2.0
Package: auxvecLASSO
Title: LASSO Auxiliary Variable Selection and Auxiliary Vector Diagnostics
Version: 0.2.0
Description: Provides tools for assessing and selecting auxiliary variables using LASSO. The package includes functions for variable selection and diagnostics, facilitating survey calibration analysis with emphasis on robust auxiliary vector selection. For more details see Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x> and Caughrey and Hartman (2017) <doi:10.2139/ssrn.3494436>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: doParallel, parallelly, Matrix, glmnet, stats, survey, utils, pROC, crayon
Suggests: testthat (>= 3.0.0), foreach, knitr, rmarkdown, withr, sampling, dplyr
VignetteBuilder: knitr
URL: https://github.com/gustafanderssons/auxvecLASSO-R-Package
BugReports: https://github.com/gustafanderssons/auxvecLASSO-R-Package/issues
Language: en
NeedsCompilation: no
Packaged: 2025-08-23 11:27:05 UTC; SCBAFON
Author: Gustaf Andersson [aut, cre, cph]
Maintainer: Gustaf Andersson <gustafanderssons@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-28 09:00:12 UTC

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New package TheseusPlot with initial version 0.1.1
Package: TheseusPlot
Title: Visualizing Decomposition of Differences in Rate Metrics
Version: 0.1.1
Description: Provides tools for decomposing differences in rate metrics between two groups into contributions from individual subgroups and visualizing them as a "Theseus Plot". Inspired by the story of the Ship of Theseus, the method replaces subgroup data from one group with that of another step by step, recalculating the overall metric at each stage to quantify subgroup contributions. A Theseus Plot combines the stepwise progression of a waterfall plot with the comparative bars of a bar chart, offering an intuitive way to understand subgroup-level effects.
License: MIT + file LICENSE
URL: https://github.com/hoxo-m/TheseusPlot
BugReports: https://github.com/hoxo-m/TheseusPlot/issues
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, forcats, memoise, R6, rlang, stats, stringr, tibble, tidyr, waterfalls
Suggests: nycflights13
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-22 23:37:50 UTC; akagi
Author: Koji Makiyama [aut, cre, cph], Shinichi Takayanagi [med], Daisuke Ichikawa [exp], LY Corporation Analytics Solution Enhancement Team [spn]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-28 07:50:06 UTC

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New package terminalgraphics with initial version 0.1.1
Package: terminalgraphics
Title: Graphical Output in Terminals
Version: 0.1.1
Description: Defines a graphics device and functions for graphical output in terminal emulators that support graphical output. Currently terminals that support the Terminal Graphics Protocol (<https://sw.kovidgoyal.net/kitty/graphics-protocol/>) and terminal supporting Sixel (<https://en.wikipedia.org/wiki/Sixel>) are supported.
BugReports: https://codeberg.org/djvanderlaan/terminalgraphics/issues
URL: https://codeberg.org/djvanderlaan/terminalgraphics
Depends: R (>= 4.1.0)
Imports: Rcpp, utils, graphics, grDevices, ragg, base64enc
Suggests: magick
LinkingTo: Rcpp
License: GPL-3
SystemRequirements: A terminal emulator supporting the Terminal Graphics Protocol (<https://sw.kovidgoyal.net/kitty/graphics-protocol/>) or Sixel.
LazyLoad: yes
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-08-22 20:54:32 UTC; eoos
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>
Repository: CRAN
Date/Publication: 2025-08-28 07:40:02 UTC

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New package SMMAL with initial version 0.0.5
Package: SMMAL
Title: Semi-Supervised Estimation of Average Treatment Effects
Version: 0.0.5
Description: Provides a pipeline for estimating the average treatment effect via semi-supervised learning. Outcome regression is fit with cross-fitting using various machine learning method or user customized function. Doubly robust ATE estimation leverages both labeled and unlabeled data under a semi-supervised missing-data framework. For more details see Hou et al. (2021) <doi:10.48550/arxiv.2110.12336>. A detailed vignette is included.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: glmnet,randomForest,splines2,xgboost,stats,utils
Suggests: knitr,rmarkdown,testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-31 16:01:38 UTC; 16102
Author: Jue Hou [aut, cre], Yuming Zhang [aut], Shuheng Kong [aut]
Maintainer: Jue Hou <hou00123@umn.edu>
Repository: CRAN
Date/Publication: 2025-08-28 07:30:07 UTC

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New package pubchem.bio with initial version 1.0.0
Package: pubchem.bio
Title: Biologically Informed Metabolomic Databases from 'PubChem'
Version: 1.0.0
Description: All 'PubChem' compounds are downloaded to a local computer, but for each compound, only partial records are used. The data are organized into small files referenced by 'PubChem' CID. This package also contains functions to parse the biologically relevant compounds from all 'PubChem' compounds, using biological database sources, pathway presence, and taxonomic relationships. Taxonomy is used to generate a lowest common ancestor taxonomy ID (NCBI) for each biological metabolite, which then enables creation of taxonomically specific metabolome databases for any taxon.
License: GPL-3
Encoding: UTF-8
Imports: foreach, doParallel, R.utils, data.table, dplyr, rcdk, stringr
Depends: R (>= 3.5.0)
LazyData: true
Suggests: utils, knitr, rmarkdown, formatR
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-22 23:01:51 UTC; cbroeckl
Author: Corey Broeckling [aut, cre]
Maintainer: Corey Broeckling <cbroeckl@colostate.edu>
Repository: CRAN
Date/Publication: 2025-08-28 07:40:07 UTC

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New package kfre with initial version 0.0.2
Package: kfre
Title: Kidney Failure Risk Equation (KFRE) Tools
Version: 0.0.2
Description: Implements the Kidney Failure Risk Equation (KFRE; Tangri and colleagues (2011) <doi:10.1001/jama.2011.451>; Tangri and colleagues (2016) <doi:10.1001/jama.2015.18202>) to compute 2- and 5-year kidney failure risk using 4-, 6-, and 8-variable models. Includes helpers to append risk columns to data frames, classify chronic kidney disease (CKD) stages and end-stage renal disease (ESRD) outcomes, and evaluate and plot model performance.
License: MIT + file LICENSE
URL: https://github.com/lshpaner/kfre_r, https://lshpaner.github.io/kfre_r/
BugReports: https://github.com/lshpaner/kfre_r/issues
Depends: R (>= 3.6)
Imports: ggplot2, grDevices, R6
Suggests: devtools, knitr, readxl, rmarkdown, rprojroot, spelling, svglite, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-08-22 22:25:34 UTC; lshpaner
Author: Leonid Shpaner [aut, cre]
Maintainer: Leonid Shpaner <lshpaner@ucla.edu>
Repository: CRAN
Date/Publication: 2025-08-28 07:40:12 UTC

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New package caradpt with initial version 0.1.0
Package: caradpt
Title: Covariate-Adjusted Response-Adaptive Designs for Clinical Trials
Version: 0.1.0
Description: Tools for implementing covariate-adjusted response-adaptive procedures for binary, continuous and survival responses. Users can flexibly choose between two functions based on their specific needs for each procedure: use real patient data from clinical trials to compute allocation probabilities directly, or use built-in simulation functions to generate synthetic patient data. Detailed methodologies and algorithms used in this package are described in the following references: Zhang, L. X., Hu, F., Cheung, S. H., & Chan, W. S. (2007)<doi:10.1214/009053606000001424> Zhang, L. X. & Hu, F. (2009) <doi:10.1007/s11766-009-0001-6> Hu, J., Zhu, H., & Hu, F. (2015) <doi:10.1080/01621459.2014.903846> Zhao, W., Ma, W., Wang, F., & Hu, F. (2022) <doi:10.1002/pst.2160> Mukherjee, A., Jana, S., & Coad, S. (2024) <doi:10.1177/09622802241287704>.
License: GPL-3
Imports: survival
Depends: R (>= 3.6.0)
Encoding: UTF-8
Maintainer: Renjie Luo <jerry.luorj@gmail.com>
NeedsCompilation: no
Packaged: 2025-08-22 18:19:27 UTC; renjieluo
Author: Renjie Luo [aut, cre], Feifang Hu [aut, ctb]
Repository: CRAN
Date/Publication: 2025-08-28 07:30:02 UTC

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New package BSTFA with initial version 0.1.0
Package: BSTFA
Title: Bayesian Spatio-Temporal Factor Analysis Model
Description: Implements Bayesian spatio-temporal factor analysis models for multivariate data observed across space and time. The package provides tools for model fitting via Markov chain Monte Carlo (MCMC), spatial and temporal interpolation, and visualization of latent factors and loadings to support inference and exploration of underlying spatio-temporal patterns. Designed for use in environmental, ecological, or public health applications, with support for posterior prediction and uncertainty quantification. Includes functions such as BSTFA() for model fitting and plot_factor() to visualize the latent processes. Functions are based on and extended from methods described in Berrett, et al. (2020) <doi:10.1002/env.2609>.
Version: 0.1.0
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 3.5)
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
LazyDataCompression: xz
Imports: MASS, RColorBrewer, ggplot2, ggpubr, mgcv, MCMCpack, coda, npreg, matrixcalc, scatterplot3d, sf, Rcpp, lubridate, Matrix, stats, methods, RcppArmadillo
Suggests: knitr, rmarkdown, utils, devtools, kableExtra, bookdown, magick, maps, loo
NeedsCompilation: yes
Packaged: 2025-08-22 18:27:39 UTC; cberrett
Author: Adam Simpson [aut], Candace Berrett [aut, cre]
Maintainer: Candace Berrett <cberrett@stat.byu.edu>
Repository: CRAN
Date/Publication: 2025-08-28 07:30:13 UTC

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Wed, 27 Aug 2025

New package tidypopgen with initial version 0.3.2
Package: tidypopgen
Title: Tidy Population Genetics
Version: 0.3.2
Description: We provide a tidy grammar of population genetics, facilitating the manipulation and analysis of data on biallelic single nucleotide polymorphisms (SNPs). 'tidypopgen' scales to very large genetic datasets by storing genotypes on disk, and performing operations on them in chunks, without ever loading all data in memory. The full functionalities of the package are described in Carter et al. (2025) <doi:10.1101/2025.06.06.658325>.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
URL: https://github.com/EvolEcolGroup/tidypopgen, https://evolecolgroup.github.io/tidypopgen/
BugReports: https://github.com/EvolEcolGroup/tidypopgen/issues
Depends: R (>= 3.5.0), dplyr, tibble
Imports: bigparallelr, bigsnpr, bigstatsr, foreach, generics, ggplot2, methods, MASS, patchwork, runner, rlang, sf, stats, tidyselect, tidyr, utils, Rcpp, UpSetR, vctrs
Suggests: adegenet, admixtools, broom, data.table, hierfstat, knitr, detectRUNS, LEA, RhpcBLASctl, rmarkdown, rnaturalearth, rnaturalearthdata, readr, reticulate, testthat (>= 3.0.0), vcfR, xgboost, spelling
Additional_repositories: https://evolecolgroup.r-universe.dev/
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.600), bigstatsr, rmio
LazyData: true
NeedsCompilation: yes
Packaged: 2025-08-22 14:24:42 UTC; andrea
Author: Evie Carter [aut], Eirlys Tysall [aut], Andrea Manica [aut, cre, cph] , Chang Christopher [ctb] ), Shaun Purcell [ctb] ), Bengtsson Henrik [ctb] )
Maintainer: Andrea Manica <am315@cam.ac.uk>
Repository: CRAN
Date/Publication: 2025-08-27 17:10:02 UTC

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New package multideploy with initial version 0.1.0
Package: multideploy
Title: Deploy File Changes Across Multiple 'GitHub' Repositories
Version: 0.1.0
Description: Deploy file changes across multiple 'GitHub' repositories using the 'GitHub' 'Web API' <https://docs.github.com/en/rest>. Allows synchronizing common files, Continuous Integration ('CI') workflows, or configurations across many repositories with a single command.
License: AGPL (>= 3)
URL: https://r-pkg.thecoatlessprofessor.com/multideploy/, https://github.com/coatless-rpkg/multideploy
BugReports: https://github.com/coatless-rpkg/multideploy/issues
Imports: gh (>= 1.3.0), base64enc, cli
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-22 15:40:57 UTC; ronin
Author: James Joseph Balamuta [aut, cre]
Maintainer: James Joseph Balamuta <james.balamuta@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 17:10:12 UTC

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New package spatialreg.hp with initial version 0.0-1
Package: spatialreg.hp
Title: Hierarchical Partitioning of R2 for Spatial Simultaneous Autoregressive Model
Version: 0.0-1
Date: 2025-8-22
Depends: R (>= 3.4.0),spatialreg,ggplot2,vegan
Imports: spdep
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>
Description: Conducts hierarchical partitioning to calculate individual contributions of spatial and predictors (groups) towards total R2 for spatial simultaneous autoregressive model.
License: GPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-22 06:05:33 UTC; lai
Author: Jiangshan Lai [aut, cre]
Repository: CRAN
Date/Publication: 2025-08-27 16:30:07 UTC

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New package SampleSizeCalculator with initial version 0.1.0
Package: SampleSizeCalculator
Title: Sample Size Calculator under Complex Survey Design
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: roxygen2, knitr, rmarkdown, testthat (>= 3.0.0)
Description: It helps in determination of sample size for estimating population mean or proportion under simple random sampling with or without replacement and stratified random sampling without replacement. When prior information on the population coefficient of variation (CV) is unavailable, then a preliminary sample is drawn to estimate the CV which is used to compute the final sample size. If the final size exceeds the preliminary sample size, then additional units are drawn; otherwise, the preliminary sample size is considered as final sample size. For stratified random sampling without replacement design, it also calculates the sample size in each stratum under different allocation methods for estimation of population mean and proportion based upon the availability of prior information on sizes of the strata, standard deviations of the strata and costs of drawing a sampling unit in the strata.For details on sampling methodology, see, Cochran (1977) "Sampling Techniques" <https://archive.or [...truncated...]
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: stats, shiny, shinythemes, DT, bslib
NeedsCompilation: no
Packaged: 2025-08-22 09:34:14 UTC; Asus
Author: Nobin Chandra Paul [aut, cre, cph], Pradip Basak [aut, cph]
Maintainer: Nobin Chandra Paul <ncp375@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 16:40:08 UTC

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New package rappleads with initial version 0.1.3
Package: rappleads
Title: Get Data from 'Apple Ads Campaign Management API'
Version: 0.1.3
Description: Provides functions to load and manage data from Apple Ads accounts using the 'Apple Ads Campaign Management API' <https://developer.apple.com/documentation/apple_ads>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, httr2, openssl, pbapply, purrr, rappdirs, retry, snakecase, stringr, tidyr, yaml
Depends: R (>= 4.1.0)
URL: https://github.com/selesnow/rappleads
BugReports: https://github.com/selesnow/rappleads/issues
NeedsCompilation: no
Packaged: 2025-08-22 07:23:52 UTC; User
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 16:30:12 UTC

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New package NMAforest with initial version 0.1.0
Package: NMAforest
Title: Forest Plots for Network Meta-Analysis with Proportion for Paths and Studies
Version: 0.1.0
Description: Provides customized forest plots for network meta-analysis incorporating direct, indirect, and network meta-analysis effects. Includes visualizations of evidence contributions through proportion bars based on the hat matrix and evidence flow decomposition.
Imports: netmeta, meta, dplyr, magrittr, igraph, ggplot2, scales, grid, utils, tibble, stats, rlist
Encoding: UTF-8
LazyData: true
License: GPL-2
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-08-22 02:55:24 UTC; zyq
Author: Yanqi Zhang [aut, cre]
Maintainer: Yanqi Zhang <zyq1998@iastate.edu>
Repository: CRAN
Date/Publication: 2025-08-27 16:30:22 UTC

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New package allocation with initial version 0.1.0
Package: allocation
Title: Exact Optimal Allocation Algorithms for Stratified Sampling
Version: 0.1.0
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>
Description: Implements several exact methods for allocating optimal sample sizes when designing stratified samples. These methods are discussed in Wright (2012) <doi:10.1080/00031305.2012.733679> and Wright (2017) <doi:10.1016/j.spl.2017.04.026>.
License: MIT + file LICENSE
Imports: Rmpfr
Encoding: UTF-8
VignetteBuilder: quarto
Suggests: quarto
NeedsCompilation: no
Packaged: 2025-08-22 08:54:19 UTC; araim
Author: Andrew M. Raim [aut, cre]
Repository: CRAN
Date/Publication: 2025-08-27 16:30:17 UTC

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New package AdapDiscom with initial version 1.0.0
Package: AdapDiscom
Title: Adaptive Sparse Regression for Block Missing Multimodal Data
Version: 1.0.0
Date: 2025-08-18
Description: Provides adaptive direct sparse regression for high-dimensional multimodal data with heterogeneous missing patterns and measurement errors. 'AdapDISCOM' extends the 'DISCOM' framework with modality-specific adaptive weighting to handle varying data structures and error magnitudes across blocks. The method supports flexible block configurations (any K blocks) and includes robust variants for heavy-tailed distributions ('AdapDISCOM'-Huber) and fast implementations for large-scale applications (Fast-'AdapDISCOM'). Designed for realistic multimodal scenarios where different data sources exhibit distinct missing data patterns and contamination levels. Diakité et al. (2025) <doi:10.48550/arXiv.2508.00120>.
License: GPL-3
URL: https://doi.org/10.48550/arXiv.2508.00120
BugReports: https://github.com/AODiakite/AdapDiscom/issues
Depends: R (>= 3.5.0)
Imports: softImpute, Matrix, scout, robustbase
Encoding: UTF-8
Suggests: knitr, rmarkdown, MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-22 03:44:24 UTC; abdoul
Author: Diakite Abdoul Oudouss [aut, cre, cph], Barry Amadou [aut]
Maintainer: Diakite Abdoul Oudouss <abdouloudoussdiakite@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 16:30:27 UTC

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New package LCCkNN with initial version 0.1.0
Package: LCCkNN
Title: Adaptive k-Nearest Neighbor Classifier Based on Local Curvature Estimation
Version: 0.1.0
Description: Implements the kK-NN algorithm, an adaptive k-nearest neighbor classifier that adjusts the neighborhood size based on local data curvature. The method estimates local Gaussian curvature by approximating the shape operator of the data manifold. This approach aims to improve classification performance, particularly in datasets with limited samples.
License: MIT + file LICENSE
URL: https://github.com/Gabrielforest/LCCkNN
Encoding: UTF-8
Imports: FNN, caret, MLmetrics, stats, class
NeedsCompilation: no
Packaged: 2025-08-21 20:42:36 UTC; gabrielf
Author: Gabriel Pereira [aut, cre]
Maintainer: Gabriel Pereira <gabrielfreitaspereira10@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 12:10:02 UTC

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New package sidra with initial version 0.1.7
Package: sidra
Title: Acesso aos Dados do 'SIDRA' do IBGE
Version: 0.1.7
Description: Functions for accessing and manipulating data from Brazilian Institute of Geography and Statistics (IBGE)'s API 'SIDRA' (acronym for IBGE System of Automatic Retrieval) from the new endpoints at <https://servicodados.ibge.gov.br/api/docs/agregados?versao=3>. Ferramentas para acessar e manipular dados via API do Sistema IBGE De Recuperação Automática 'SIDRA' do Instituto Brasileiro de Geografia e Estatística (IBGE).
License: GPL-3
Language: pt-BR
Encoding: UTF-8
LazyData: true
Imports: httr,data.table,tidyr,dplyr,jsonlite,tibble
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/rodrigoesborges/sidra
BugReports: https://github.com/rodrigoesborges/sidra/issues
NeedsCompilation: no
Packaged: 2025-08-21 20:16:32 UTC; borges
Author: Rodrigo Emmanuel Santana Borges [cre, aut, cph]
Maintainer: Rodrigo Emmanuel Santana Borges <rodrigo@borges.net.br>
Repository: CRAN
Date/Publication: 2025-08-27 12:00:09 UTC

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New package RCaucTile with initial version 1.0.0
Package: RCaucTile
Title: Tile Grid Maps for East Caucasian Languages
Version: 1.0.0
Description: Generates tile maps for the East Caucasian language family, inspired by the Typological Atlas of the Languages of Daghestan (TALD, <https://lingconlab.ru/tald/>). It leverages 'ggplot2' to create visually informative maps, displaying rectangles for each language and allowing for color-coding based on linguistic features. The package includes a built-in dataset of 56 languages and the template for their distribution and provides flexibility to customize the tile map's appearance. The default template can be modified via the ability to hide or rename languages. It's designed to be used with external data tables containing language information and features, offering a tool for visualizing the geographic distribution and linguistic characteristics of East Caucasian languages.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: ggplot2
NeedsCompilation: no
Packaged: 2025-08-18 15:35:20 UTC; agricolamz
Author: George Moroz [aut, cre]
Maintainer: George Moroz <agricolamz@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 12:00:24 UTC

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New package HARr with initial version 1.1.0
Package: HARr
Title: 'HAR' ('GEMPACK') File Read/Write Utility
Version: 1.1.0
Author: Maros Ivanic [aut, cre]
Description: HAR files are generated and consumed by 'GEMPACK' applications. This package reads/writes 'HAR' files (and 'SL4' files) directly using basic R functions.
License: CC0
Encoding: UTF-8
Imports: stringi
NeedsCompilation: no
Packaged: 2025-08-21 18:53:30 UTC; ivani
Maintainer: Maros Ivanic <ivanic@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 12:00:29 UTC

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New package firesale with initial version 0.1.0
Package: firesale
Title: Datastore for 'fiery' Web Servers
Version: 0.1.0
Description: Provides a persistent datastore for 'fiery' apps. The datastore is build on top of the 'storr' package and can thus be based on a variety of backends. The datastore contains both a global and session-scoped section.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, R6, reqres, rlang, storr
Suggests: fiery (>= 1.3.0), later, testthat (>= 3.0.0)
URL: https://github.com/thomasp85/firesale
BugReports: https://github.com/thomasp85/firesale/issues
NeedsCompilation: no
Packaged: 2025-08-21 11:33:24 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2025-08-27 11:20:02 UTC

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New package flankr with initial version 1.2.0
Package: flankr
Title: Implementing Computational Models of Attentional Selectivity
Version: 1.2.0
Description: A set of methods to simulate from and fit computational models of attentional selectivity. The package implements the dual-stage two-phase (DSTP) model of Hübner et al. (2010) <doi:10.1037/a0019471>, and the shrinking spotlight (SSP) model of White et al. (2011) <doi:10.1016/j.cogpsych.2011.08.001>.
Depends: R (>= 4.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
License: GPL-3
LazyData: true
Encoding: UTF-8
URL: https://github.com/JimGrange/flankr
BugReports: https://github.com/JimGrange/flankr/issues
NeedsCompilation: yes
Packaged: 2025-08-21 08:45:07 UTC; jimgrange
Author: Jim Grange [aut, cre]
Maintainer: Jim Grange <grange.jim@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 11:00:02 UTC

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New package CLIC with initial version 0.1
Package: CLIC
Title: The LIC for Distributed Cosine Regression Analysis
Version: 0.1
Date: 2025-08-18
Description: This comprehensive framework for periodic time series modeling is designated as "CLIC" (The LIC for Distributed Cosine Regression Analysis) analysis. It is predicated on the assumption that the underlying data exhibits complex periodic structures beyond simple harmonic components. The philosophy of the method is articulated in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, LaplacesDemon, fBasics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Author: Guangbao Guo [aut, cre] , Pengbo Kong [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Packaged: 2025-08-21 05:16:48 UTC; Kong Pengbo
Repository: CRAN
Date/Publication: 2025-08-27 11:00:08 UTC

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