CRANberries

Thu, 03 Apr 2025

New package RStanTVA with initial version 0.2.0
Package: RStanTVA
Title: TVA Models in 'Stan' using 'R' and 'StanTVA'
Version: 0.2.0
Description: 'Stan' implementation of the Theory of Visual Attention (TVA; Bundesen, 1990; <doi:10.1037/0033-295X.97.4.523>) and numerous convenience functions for generating, compiling, fitting, and analyzing TVA models.
License: GPL (>= 3)
Encoding: UTF-8
BugReports: https://github.com/mmrabe/RStanTVA/issues
URL: https://github.com/mmrabe/RStanTVA
Date: 2025-03-25
Depends: rstan, R (>= 3.6)
Imports: dplyr, readr, tidyr, methods, utils, tibble, stats, cli, lme4, brms, rlang
Suggests: cmdstanr
Additional_repositories: https://stan-dev.r-universe.dev
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-03 08:29:51 UTC; stp364
Author: Maximilian M. Rabe [aut, cre] , Soeren Kyllingsbaek [aut]
Maintainer: Maximilian M. Rabe <maximilian.rabe@uni-potsdam.de>
Repository: CRAN
Date/Publication: 2025-04-03 16:10:05 UTC

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New package RobinCar2 with initial version 0.1.1
Package: RobinCar2
Title: ROBust INference for Covariate Adjustment in Randomized Clinical Trials
Version: 0.1.1
Date: 2025-03-30
Description: Performs robust estimation and inference when using covariate adjustment and/or covariate-adaptive randomization in randomized controlled trials. This package is trimmed to reduce the dependencies and validated to be used across industry. See "FDA's final guidance on covariate adjustment"<https://www.regulations.gov/docket/FDA-2019-D-0934>, Tsiatis (2008) <doi:10.1002/sim.3113>, Bugni et al. (2018) <doi:10.1080/01621459.2017.1375934>, Ye, Shao, Yi, and Zhao (2023)<doi:10.1080/01621459.2022.2049278>, Ye, Shao, and Yi (2022)<doi:10.1093/biomet/asab015>, Rosenblum and van der Laan (2010)<doi:10.2202/1557-4679.1138>, Wang et al. (2021)<doi:10.1080/01621459.2021.1981338>, Ye, Bannick, Yi, and Shao (2023)<doi:10.1080/24754269.2023.2205802>, and Bannick, Shao, Liu, Du, Yi, and Ye (2024)<doi:10.48550/arXiv.2306.10213>.
License: Apache License 2.0
URL: https://github.com/openpharma/RobinCar2/
BugReports: https://github.com/openpharma/RobinCar2/issues
Depends: R (>= 3.6)
Imports: checkmate, numDeriv, MASS, sandwich, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-03 09:08:19 UTC; root
Author: Liming Li [aut, cre] , Marlena Bannick [aut] , Dong Xi [aut], Ting Ye [aut], Yanyao Yi [aut], Gregory Chen [ctb], Gilead Sciences, Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], Merck Sharp & Dohme, Inc. [cph, fnd], AstraZeneca plc [cph, fnd], [...truncated...]
Maintainer: Liming Li <liming.li1@astrazeneca.com>
Repository: CRAN
Date/Publication: 2025-04-03 16:10:02 UTC

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New package DamageDetective with initial version 1.0.0
Package: DamageDetective
Title: Detecting Damaged Cells in Single-Cell RNA Sequencing Data
Version: 1.0.0
Description: Detects and filters damaged cells in single-cell RNA sequencing (scRNA-seq) data using a novel approach inspired by 'DoubletFinder'. Damage is detected by measuring the extent to which cells deviate from artificially damaged profiles of themselves, simulated through the probabilistic escape of cytoplasmic RNA. As output, a damage score ranging from 0 to 1 is given for each cell providing an intuitive scale for filtering that is standardised across cell types, samples, and experiments.
License: AGPL (>= 3)
Encoding: UTF-8
Language: en-US
LazyData: false
Depends: R (>= 4.4.0)
Imports: cowplot, dplyr, ggplot2, ggpubr, Matrix, patchwork, scales, RcppHNSW, rlang, tidyr, withr
Suggests: Seurat, knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://alicenjoyhenning.github.io/DamageDetective/, https://github.com/alicenjoyhenning/DamageDetective
BugReports: https://github.com/alicenjoyhenning/DamageDetective/issues
NeedsCompilation: no
Packaged: 2025-04-03 10:53:38 UTC; alicen
Author: Alicen Henning [aut, cre, cph]
Maintainer: Alicen Henning <alicen.jhb@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-03 16:20:02 UTC

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New package tabs with initial version 0.1.0
Package: tabs
Title: Temporal Altitudinal Biogeographic Shifts
Version: 0.1.0
Description: A standardized workflow to reconstruct spatial configurations of altitude-bounded biogeographic systems over time. For example, 'tabs' can model how island archipelagos expand or contract with changing sea levels or how alpine biomes shift in response to tree line movements. It provides functionality to account for various geophysical processes such as crustal deformation and other tectonic changes, allowing for a more accurate representation of biogeographic system dynamics. For more information see De Groeve et al. (2025) <doi:10.3897/arphapreprints.e151900>.
License: GPL (>= 3)
URL: https://uva_ibed_piac.gitlab.io/tabs/
BugReports: https://gitlab.com/uva_ibed_piac/tabs/-/issues
Depends: R (>= 2.10)
Imports: ape, dplyr, htmltools, htmlwidgets, httr, jsonlite, geojsonio, leaflet, leaftime, leaflet.extras, mapedit, qs2, rlang, sf, stringi, terra, gpkg, RSQLite
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-02 14:34:03 UTC; jedgroev
Author: Johannes De Groeve [aut, cre] , Sietze Norder [aut] , Eline Sterre Rentier [aut] , Suzette Flantua [ctb] , Kenneth Rijsdijk [ctb]
Maintainer: Johannes De Groeve <j.degroeve@uva.nl>
Repository: CRAN
Date/Publication: 2025-04-03 15:30:02 UTC

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New package NHSRwaitinglist with initial version 0.1.0
Package: NHSRwaitinglist
Title: Waiting List Metrics Using Queuing Theory
Version: 0.1.0
Maintainer: Chris Mainey <c.mainey1@nhs.net>
Description: Waiting list management using queuing theory to analyse, predict and manage queues, based on the approach described in Fong et al. (2022) <doi:10.1101/2022.08.23.22279117>. Aimed at UK National Health Service (NHS) applications, waiting list summary statistics, target-value calculations, waiting list simulation, and scheduling functions are included.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://nhs-r-community.github.io/NHSRwaitinglist/
Imports: cli, dplyr, rlang, utils, stats, randomNames, methods
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-02 15:06:58 UTC; ChrisMainey(Birmingh
Author: Neil Walton [aut] , Jacqueline Grout [ctb], Zoe Turner [ctb] , Matt Dray [aut], Paul Fenton [ctb], Peter Shakeshaft [ctb], Tom Smith [aut], Chris Mainey [cre, aut] , NHS-R community [cph]
Repository: CRAN
Date/Publication: 2025-04-03 15:50:02 UTC

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New package ggpicrust2 with initial version 2.0.0
Package: ggpicrust2
Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Version: 2.0.0
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <doi:10.1093/bioinformatics/btad470>.
BugReports: https://github.com/cafferychen777/ggpicrust2/issues
URL: https://github.com/cafferychen777/ggpicrust2, https://cafferyang.com/ggpicrust2/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: aplot, dplyr, ggplot2, grid, ggh4x, readr, tibble, tidyr, ggprism, patchwork, ggplotify, magrittr, progress, stats, methods, grDevices, utils
Depends: R (>= 3.5.0)
Suggests: Biobase, KEGGREST, ComplexHeatmap, BiocGenerics, knitr, rmarkdown, testthat (>= 3.0.0), ALDEx2, DESeq2, edgeR, GGally, limma, Maaslin2, metagenomeSeq, MicrobiomeStat, SummarizedExperiment, circlize, lefser
NeedsCompilation: no
Packaged: 2025-04-03 05:53:23 UTC; apple
Author: Chen Yang [aut, cre], Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-03 16:00:05 UTC

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New package friendlynumber with initial version 1.0.0
Package: friendlynumber
Title: Translate Numbers into Number Words
Version: 1.0.0
Description: Converts vectors of numbers into character vectors of numerals, including cardinals (one, two, three) and ordinals (first, second, third). Supports negative numbers, fractions, and arbitrary-precision integer and high-precision floating-point vectors provided by the 'bignum' package.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/EthanSansom/friendlynumber, https://ethansansom.github.io/friendlynumber/
BugReports: https://github.com/EthanSansom/friendlynumber/issues
Suggests: bignum, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2025-04-02 10:35:30 UTC; ethansansom
Author: Ethan Sansom [aut, cre, cph]
Maintainer: Ethan Sansom <ethan.sansom29@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-03 15:10:05 UTC

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New package FARS with initial version 0.1.0
Package: FARS
Title: Factor-Augmented Regression Scenarios
Version: 0.1.0
Maintainer: Gian Pietro Bellocca <gbellocc@est-econ.uc3m.es>
Description: Provides a comprehensive framework in R for modeling and forecasting economic scenarios based on multi-level dynamic factor model. The package enables users to: (i) extract global and block-specific factors using a flexible multilevel factor structure; (ii) compute asymptotically valid confidence regions for the estimated factors, accounting for uncertainty in the factor loadings; (iii) estimate factor-augmented quantile regressions; (iv) recover full predictive densities from these quantile forecasts; and (v) estimate the density when the factors are stressed.
Depends: R (>= 3.5.0)
Imports: ggplot2, plotly, sn, nloptr, ellipse, SyScSelection, quantreg, tidyr, dplyr, forcats, MASS, reshape2,
Suggests: devtools, knitr, rmarkdown, openxlsx, readxl, zoo
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-02 09:44:45 UTC; gianpietro
Author: Gian Pietro Bellocca [aut, cre], Ignacio Garron [aut], Vladimir Rodriguez-Caballero [aut], Esther Ruiz [aut]
Repository: CRAN
Date/Publication: 2025-04-03 15:10:10 UTC

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New package CytoProfile with initial version 0.1.2
Package: CytoProfile
Title: Cytokine Profiling Analysis Tool
Version: 0.1.2
Description: Provides comprehensive cytokine profiling analysis through quality control using biologically meaningful cutoffs on raw cytokine measurements and by testing for distributional symmetry to recommend appropriate transformations. Offers exploratory data analysis with summary statistics, enhanced boxplots, and barplots, along with univariate and multivariate analytical capabilities for in-depth cytokine profiling such as Principal Component Analysis based on Andrzej Maćkiewicz and Waldemar Ratajczak (1993) <doi:10.1016/0098-3004(93)90090-R>, Sparse Partial Least Squares Discriminant Analysis based on Lê Cao K-A, Boitard S, and Besse P (2011) <doi:10.1186/1471-2105-12-253>, Random Forest based on Breiman, L. (2001) <doi:10.1023/A:1010933404324>, and Extreme Gradient Boosting based on Tianqi Chen and Carlos Guestrin (2016) <doi:10.1145/2939672.2939785>.
Encoding: UTF-8
URL: https://github.com/saraswatsh/CytoProfile, https://saraswatsh.github.io/CytoProfile/
Depends: R (>= 4.3)
Imports: mixOmics, dplyr, tidyr, pROC, plot3D, caret, xgboost, randomForest, gplots, e1071, ggplot2, ggrepel, gridExtra, reshape2, prodlim
Suggests: spelling, BiocManager, testthat, knitr, rmarkdown, devtools, Ckmeans.1d.dp
NeedsCompilation: no
License: GPL (>= 2)
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/saraswatsh/CytoProfile/issues
Language: en-US
Packaged: 2025-04-02 20:29:41 UTC; shubh
Author: Shubh Saraswat [cre, aut, cph] , Xiaohua Douglas Zhang [aut]
Maintainer: Shubh Saraswat <shubh.saraswat00@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-03 15:50:06 UTC

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New package TractorTsbox with initial version 0.1.1
Package: TractorTsbox
Title: Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates
Version: 0.1.1
Description: The ts objects in R are managed using a very specific date format (in the form c(2022, 9) for September 2022 or c(2021, 2) for the second quarter of 2021, depending on the frequency, for example). We focus solely on monthly and quarterly series to manage the dates of ts objects. The general idea is to offer a set of functions to manage this date format without it being too restrictive or too imprecise depending on the rounding. This is a compromise between simplicity, precision and use of the basic 'stats' functions for creating and managing time series (ts(), window()). Les objets ts en R sont gérés par un format de date très particulier (sous la forme c(2022, 9) pour septembre 2022 ou c(2021, 2) pour le deuxième trimestre 2021 selon la fréquence par exemple). On se concentre uniquement sur les séries mensuelles et trimestrielles pour gérer les dates des objets ts. Lidée générale est de proposer un ensemble de fonctions pour gérer ce format de date sans que ce soit trop contraignant o [...truncated...]
License: GPL (>= 3)
URL: https://github.com/TractorTom/TractorTsbox, https://tractortom.github.io/TractorTsbox/
BugReports: https://github.com/TractorTom/TractorTsbox/issues
Encoding: UTF-8
Imports: stats, checkmate
Depends: R (>= 3.6)
LazyData: true
Suggests: testthat (>= 3.0.0), renv, fuzzr, pkgdown, devtools, usethis, covr, withr, altdoc
NeedsCompilation: no
Packaged: 2025-04-02 08:15:26 UTC; UTZK0M
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tangbarth@hotmail.fr>
Repository: CRAN
Date/Publication: 2025-04-03 15:00:05 UTC

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New package spatemR with initial version 1.0.0
Package: spatemR
Title: Generalized Spatial Autoregresive Models for Mean and Variance
Version: 1.0.0
Description: Modeling spatial dependencies in dependent variables, extending traditional spatial regression approaches. It allows for the joint modeling of both the mean and the variance of the dependent variable, incorporating semiparametric effects in both models. Based on generalized additive models (GAM), the package enables the inclusion of non-parametric terms while maintaining the classical theoretical framework of spatial regression. Additionally, it implements the Generalized Spatial Autoregression (GSAR) model, which extends classical methods like logistic Spatial Autoregresive Models (SAR), probit Spatial Autoregresive Models (SAR), and Poisson Spatial Autoregresive Models (SAR), offering greater flexibility in modeling spatial dependencies and significantly improving computational efficiency and the statistical properties of the estimators. Related work includes: a) J.D. Toloza-Delgado, Melo O.O., Cruz N.A. (2024). "Joint spatial modeling of mean and non-homogeneous variance combining s [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: methods, stats, gamlss (>= 5.3-1), gamlss.dist
Suggests: testthat (>= 3.0.0), sp, spdep
NeedsCompilation: no
Packaged: 2025-04-02 09:04:07 UTC; UIB
Author: Nelson Alirio Cruz Gutierrez [aut, cre, cph], Oscar Orlando Melo [aut], Jurgen Toloza-Delgado [aut]
Maintainer: Nelson Alirio Cruz Gutierrez <nelson-alirio.cruz@uib.es>
Repository: CRAN
Date/Publication: 2025-04-03 15:00:02 UTC

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New package forestdata with initial version 0.3.0
Package: forestdata
Title: Download Forestry Data
Version: 0.3.0
Description: Functions for downloading forestry and land use data for use in spatial analysis. This packages offers a user-friendly solution to quickly obtain datasets such as forest height, forest types, tree species under various climate change scenarios, or land use data among others.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: sf, stringr, tibble, tidyr, dplyr, purrr, terra, stringi, archive, foreign, lifecycle, cli, glue
Depends: R (>= 4.1.0)
Suggests: aws.s3, RODBC, odbc, giscoR, testthat (>= 3.0.0), rmarkdown, ggplot2, tidyterra
URL: https://cidree.github.io/forestdata/
NeedsCompilation: no
Packaged: 2025-04-02 22:26:45 UTC; User
Author: Adrian Cidre Gonzalez [aut, cre]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-03 07:40:02 UTC

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Wed, 02 Apr 2025

New package multiDoE with initial version 0.9.4
Package: multiDoE
Title: Multi-Criteria Design of Experiments for Optimal Design
Version: 0.9.4
Maintainer: Andrea Melloncelli <andrea.melloncelli@vanlog.it>
Description: Multi-criteria design of experiments algorithm that simultaneously optimizes up to six different criteria ('I', 'Id', 'D', 'Ds', 'A' and 'As'). The algorithm finds the optimal Pareto front and, if requested, selects a possible symmetrical design on it. The symmetrical design is selected based on two techniques: minimum distance with the Utopia point or the 'TOPSIS' approach.
License: CC BY 4.0
URL: https://github.com/andreamelloncelli/multiDoE
Depends: R (>= 3.5.0)
Imports: ggplot2, magrittr, plotly, pracma
Suggests: devtools, here, knitr, logr, markdown, rgl, rmarkdown, testthat (>= 3.0.0), usethis
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-02 17:06:07 UTC; mello
Author: Francesca Cucchi [aut], Andrea Melloncelli [aut, cre], Francesco Sambo [aut], Kalliopi Mylona [aut], Matteo Borrotti [aut]
Repository: CRAN
Date/Publication: 2025-04-02 21:50:06 UTC

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New package SwPcIndex with initial version 0.1.0
Package: SwPcIndex
Title: Computation of Survey Weighted PC Based Composite Index
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: An index is created using a mathematical model that transforms multi-dimensional variables into a single value. These variables are often correlated, and while PCA-based indices can address the issue of multicollinearity, they typically do not account for survey weights, which can lead to inaccurate rankings of survey units such as households, districts, or states. To resolve this, the current package facilitates the development of a principal component analysis-based composite index by incorporating survey weights for each sample observation. This ensures the generation of a survey-weighted principal component-based normalized composite index. Additionally, the package provides a normalized principal component-based composite index and ranks the sample observations based on the values of the composite indices. For method details see, Skinner, C. J., Holmes, D. J. and Smith, T. M. F. (1986) <DOI:10.1080/01621459.1986.10478336>, Singh, D., Basak, P., Kumar, R. and Ahmad, T. (2023) [...truncated...]
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Author: Pradip Basak [aut, cph, cre], Deepak Singh [aut, cph], Raju Kumar [aut, cph], Tauqueer Ahmad [aut, cph]
Maintainer: Pradip Basak <pradip@ubkv.ac.in>
Packaged: 2025-04-01 18:04:36 UTC; Dr. Pradeep
Repository: CRAN
Date/Publication: 2025-04-02 17:40:12 UTC

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New package stochcorr with initial version 0.0.1
Package: stochcorr
Title: Stochastic Correlation Modelling via Circular Diffusion
Version: 0.0.1
Description: Performs simulation and inference of diffusion processes on circle. Stochastic correlation models based on circular diffusion models are provided. For details see Majumdar, S. and Laha, A.K. (2024) "Diffusion on the circle and a stochastic correlation model" <doi:10.48550/arXiv.2412.06343>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, nloptr, progress, foreach, doSNOW, snow
Suggests: ggplot2
Author: Sourav Majumdar [aut, cre]
Maintainer: Sourav Majumdar <souravm@iitk.ac.in>
NeedsCompilation: yes
Packaged: 2025-04-01 05:53:14 UTC; sourav
Repository: CRAN
Date/Publication: 2025-04-02 17:20:01 UTC

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New package SecretsProvider with initial version 1.0.0
Package: SecretsProvider
Title: Save and Retrieve Name-Value Pairs to and from a File
Version: 1.0.0
Date: 2025-03-07
Maintainer: Koen Greuell <vlic@lifewatch.eu>
Description: Facilitates secret management by storing credentials in a dedicated file, keeping them out of your code base. The secrets are stored without encryption. This package is compatible with secrets stored by the 'SecretsProvider' 'Python' package <https://pypi.org/project/SecretsProvider/>.
License: Apache License (== 2.0)
Suggests: testthat (>= 3.0.0), getPass
NeedsCompilation: no
Packaged: 2025-04-01 12:15:59 UTC; koen-greuell
Author: Koen Greuell [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-02 17:20:05 UTC

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New package RKaggle with initial version 0.1.0
Package: RKaggle
Title: 'Kaggle' Dataset Downloader 'API'
Version: 0.1.0
Description: Easily download datasets from Kaggle <https://www.kaggle.com/> directly into your R environment using 'RKaggle'. Streamline your data analysis workflows by importing datasets effortlessly and focusing on insights rather than manual data handling. Perfect for data enthusiasts and professionals looking to integrate Kaggle datasets into their R projects with minimal hassle.
License: MIT + file LICENSE
URL: https://github.com/benyamindsmith/RKaggle
BugReports: https://github.com/benyamindsmith/RKaggle/issues
Encoding: UTF-8
Imports: httr, readr, withr, jsonlite, arrow, readODS, tibble, readxl
Depends: R (>= 4.1.0)
Suggests: conflicted
NeedsCompilation: no
Packaged: 2025-04-01 20:24:14 UTC; ben29
Author: Benjamin Smith [aut, cre]
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2025-04-02 17:50:07 UTC

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New package maxEff with initial version 0.1.1
Package: maxEff
Title: Additional Predictor with Maximum Effect Size
Version: 0.1.1
Date: 2025-04-01
Description: Methods of selecting one from many numeric predictors for a regression model, to ensure that the additional predictor has the maximum effect size.
Encoding: UTF-8
License: GPL-2
Depends: R (>= 4.4),
Language: en-US
Imports: caret, parallel, rpart, spatstat.geom
Suggests: knitr, groupedHyperframe, survival, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-01 17:18:23 UTC; tingtingzhan
Author: Tingting Zhan [aut, cre] , Inna Chervoneva [aut]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-02 17:40:01 UTC

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New package HTGM with initial version 1.0
Package: HTGM
Version: 1.0
Date: 2025-03-26
Title: High Throughput 'GoMiner'
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
Imports: minimalistGODB, GoMiner, grDevices, stats, gplots
LazyData: true
LazyDataCompression: xz
Description: Two papers published in the early 2000's (Zeeberg, B.R., Feng, W., Wang, G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) and (Zeeberg, B.R., Qin, H., Narashimhan, S., et al. (2005) <doi:10.1186/1471-2105-6-168>) implement 'GoMiner' and 'High Throughput GoMiner' ('HTGM') to map lists of genes to the Gene Ontology (GO) <https://geneontology.org>. Until recently, these were hosted on a server at The National Cancer Institute (NCI). In order to continue providing these services to the bio-medical community, I have developed stand-alone versions. The current package 'HTGM' builds upon my recent package 'GoMiner'. The output of 'GoMiner' is a heatmap showing the relationship of a single list of genes and the significant categories into which they map. 'High Throughput GoMiner' ('HTGM') integrates the results of the individual 'GoMiner' analyses. The output of 'HTGM' is a heatmap showing the relationship of the significant categories derived from each gene list. The heatmap [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-01 13:36:39 UTC; barryzeeberg
Repository: CRAN
Date/Publication: 2025-04-02 17:40:18 UTC

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New package castgen with initial version 1.0.2
Package: castgen
Title: Estimate Sample Size for Population Genomic Studies
Version: 1.0.2
Description: Estimate sample sizes needed to capture target levels of genetic diversity from a population (multivariate allele frequencies) for applications like germplasm conservation and breeding efforts. Compares bootstrap samples to a full population using linear regression, employing the R-squared value to represent the proportion of diversity captured. Iteratively increases sample size until a user-defined target R-squared is met. Offers a parallelized R implementation of a previously developed 'python' method. All ploidy levels are supported. For more details, see Sandercock et al. (2024) <doi:10.1073/pnas.2403505121>.
License: Apache License (>= 2)
URL: https://github.com/alex-sandercock/castgen
BugReports: https://github.com/alex-sandercock/castgen/issues
Imports: doParallel (>= 1.0.17), dplyr (>= 1.1.2), foreach (>= 1.5.2), parallel (>= 4.0.0), Rdpack (>= 0.7), stats, utils, vcfR (>= 1.15.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-01 19:42:07 UTC; ams866
Author: Alexander M. Sandercock [aut, cre]
Maintainer: Alexander M. Sandercock <ams866@cornell.edu>
Repository: CRAN
Date/Publication: 2025-04-02 17:40:05 UTC

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New package bidsr with initial version 0.1.0
Package: bidsr
Title: A Brain Imaging Data Structure ('BIDS') Parser
Version: 0.1.0
URL: https://dipterix.org/bidsr/, https://github.com/dipterix/bidsr/
BugReports: https://github.com/dipterix/bidsr/issues
Description: Parse and read the files that comply with the brain imaging data structure, or 'BIDS' format, see the publication from Gorgolewski, K., Auer, T., Calhoun, V. et al. (2016) <doi:10.1038/sdata.2016.44>. Provides query functions to extract and check the 'BIDS' entity information (such as subject, session, task, etc.) from the file paths and suffixes according to the specification. The package is developed and used in the reproducible analysis and visualization of intracranial electroencephalography, or 'RAVE', see Magnotti, J. F., Wang, Z., and Beauchamp, M. S. (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("bidsr")' for details and attributions.
Copyright: This software includes material (schema files from directory 'inst/bids-schema') from the 'BIDS' specification, which is licensed under a Creative Commons Attribution 4.0 International License; see a copy of the license under 'inst/bids-schema/LICENSE.txt', and website <https://bids.neuroimaging.io> for details.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: checkmate, data.table, fastmap, fs, jsonlite, nanotime, S7 (>= 0.2.0), utils, uuid
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-01 14:48:04 UTC; dipterix
Author: Zhengjia Wang [aut, cre] , Trustees of the University of Pennsylvania [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-02 17:40:08 UTC

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New package D4TAlink.light with initial version 2.1.18
Package: D4TAlink.light
Title: GDP - Workflow Management
Version: 2.1.18
Date: 2025-03-28
Author: Gregoire Thomas [aut, cre]
Maintainer: Gregoire Thomas <gregoire.thomas@SQU4RE.com>
Description: Tools, methods and processes for the management of analysis workflows. These lightweight solutions facilitate structuring R&D activities. These solutions were developed to comply with Good Documentation Practice (GDP), with ALCOA+ principles as proposed by the U.S. FDA, and with FAIR principles as discussed by Jacobsen et al. (2017) <doi:10.1162/dint_r_00024>.
Depends: R (>= 4.0.0), jsonlite, openssl
Imports: officedown, utils, rmarkdown, Biobase, openxlsx,reticulate,feather, getPass
Suggests: knitr, roxygen2 (>= 3.1.0), WriteXLS,XLConnect,xlsx, testthat
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://bitbucket.org/SQ4/d4talink.light
ByteCompile: true
Repository: CRAN
BugReports: https://bitbucket.org/SQ4/d4talink.light/issues
NeedsCompilation: no
Packaged: 2025-03-28 17:12:28 UTC; GregoireThomas
Date/Publication: 2025-04-02 15:50:10 UTC

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New package InterpolateR with initial version 1.2-0
Package: InterpolateR
Title: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation
Version: 1.2-0
Maintainer: Jonnathan Landi <jonnathan.landi@outlook.com>
Description: Spatial interpolation toolkit designed for environmental and geospatial applications. It includes a range of methods, from traditional techniques to advanced machine learning approaches, ensuring accurate and efficient estimation of values in unobserved locations.
License: GPL (>= 3)
Depends: R (>= 4.4.0)
Imports: terra, randomForest, data.table, pbapply, qmap, hydroGOF
URL: https://github.com/Jonnathan-Landi/InterpolateR
BugReports: https://github.com/Jonnathan-Landi/InterpolateR/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-01 01:08:55 UTC; Jonna
Author: Jonnathan Landi [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-04-02 09:10:02 UTC

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New package weathR with initial version 0.1.0
Package: weathR
Title: Interact with the U.S. National Weather Service API
Version: 0.1.0
Description: Enables interaction with the National Weather Service application programming web-interface for fetching of real-time and forecast meteorological data. Users can provide latitude and longitude, Automated Surface Observing System identifier, or Automated Weather Observing System identifier to fetch recent weather observations and recent forecasts for the given location or station. Additionally, auxiliary functions exist to identify stations nearest to a point, convert wind direction from character to degrees, and fetch active warnings. Results are returned as simple feature objects whenever possible.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr2, janitor, jsonlite, lubridate, lutz, magrittr, purrr, sf, tibble
Suggests: gt, snakecase, tmap
URL: https://github.com/JeffreyFowler/weathR
BugReports: https://github.com/JeffreyFowler/weathR/issues
NeedsCompilation: no
Packaged: 2025-03-31 23:18:40 UTC; Jeffr
Author: Jeffrey Fowler [aut, cre, cph]
Maintainer: Jeffrey Fowler <JeffreyF6120@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-02 09:00:02 UTC

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New package mbg with initial version 1.0.0
Package: mbg
Title: Model-Based Geostatistics
Version: 1.0.0
Description: Modern model-based geostatistics for point-referenced data. This package provides a simple interface to run spatial machine learning models and geostatistical models that estimate a continuous (raster) surface from point-referenced outcomes and, optionally, a set of raster covariates. The package also includes functions to summarize raster outcomes by (polygon) region while preserving uncertainty.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: assertthat, caret, data.table, glue, Matrix, matrixStats, purrr, R6, sf, terra, tictoc
Suggests: INLA, knitr, rmarkdown, ggplot2, scales
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://henryspatialanalysis.github.io/mbg/
BugReports: https://github.com/henryspatialanalysis/mbg/issues
NeedsCompilation: no
Packaged: 2025-03-31 22:44:30 UTC; nathenry
Author: Nathaniel Henry [aut, cre] , Benjamin Mayala [aut]
Maintainer: Nathaniel Henry <nat@henryspatialanalysis.com>
Repository: CRAN
Date/Publication: 2025-04-02 09:00:06 UTC

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New package ieTest with initial version 2.0
Package: ieTest
Title: Indirect Effects Testing Methods in Mediation Analysis
Version: 2.0
Date: 2025-03-31
Maintainer: John Kidd <jkidd@uvu.edu>
Description: Used in testing if the indirect effect from linear regression mediation analysis is equal to 0. Includes established methods such as the Sobel Test, Joint Significant test (maxP), and tests based off the distribution of the Product or Normal Random Variables. Additionally, this package adds more powerful tests based on Intersection-Union theory. These tests are the S-Test, the ps-test, and the ascending squares test. These new methods are uniformly more powerful than maxP, which is more powerful than Sobel and less anti-conservative than the Product of Normal Random Variables. These methods are explored by Kidd and Lin, (2024) <doi:10.1007/s12561-023-09386-6> and Kidd et al., (2025) <doi:10.1007/s10260-024-00777-7>.
License: GPL (>= 2)
Depends: R (>= 3.3.0), grDevices, graphics, methods, stats, utils
Imports: Rcpp (>= 1.0.3), RcppArmadillo, RcppDist, twosamples, MASS
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-03-31 21:48:21 UTC; 10975067
Author: John Kidd [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-02 09:00:11 UTC

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Tue, 01 Apr 2025

New package semboottools with initial version 0.1.0
Package: semboottools
Title: Bootstrapping Helpers for Structural Equation Modelling
Version: 0.1.0
Description: A collection of helper functions for forming bootstrapping confidence intervals and examining bootstrap estimates in structural equation modelling. Currently supports models fitted by the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: boot, lavaan, psych, lavaan.printer
URL: https://Yangzhen1999.github.io/semboottools/
BugReports: https://github.com/Yangzhen1999/semboottools/issues
NeedsCompilation: no
Packaged: 2025-03-30 14:06:57 UTC; Administrator
Author: Wendie Yang [aut, cre] , Shu Fai Cheung [aut]
Maintainer: Wendie Yang <1581075494q@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:40:06 UTC

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New package RRgeo with initial version 0.0.3
Package: RRgeo
Title: Species Distribution Modelling for Rare Species
Version: 0.0.3
Description: Performs species distribution modeling for rare species with unprecedented accuracy (Mondanaro et al., 2023 <doi:10.1111/2041-210X.14066>) and finds the area of origin of species and past contact between them taking climatic variability in full consideration (Mondanaro et al., 2025 <doi:10.1111/2041-210X.14478>).
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: ape, methods,pbapply,Rphylopars,RRphylo,dismo (>= 1.3),gtools, terra, adehabitatMA, ecospat (>= 3.2.1), foreach, doParallel, PresenceAbsence, parallel, ade4, sp, sf,scales, ks, leastcostpath, doSNOW, biomod2 (>= 4.2),utils
Suggests: ggplot2, cowplot, openxlsx, Bchron, curl, rnaturalearth (>= 1.0.1), rnaturalearthhires, spatstat.geom, spatstat.explore, knitr, httr, jsonlite
Additional_repositories: http://packages.ropensci.org
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-31 09:06:22 UTC; Utente
Author: Alessandro Mondanaro [aut], Mirko Di Febbraro [aut], Silvia Castiglione [aut, cre], Carmela Serio [aut], Marina Melchionna [aut], Giorgia Girardi [aut], Pasquale Raia [aut]
Maintainer: Silvia Castiglione <silvia.castiglione@unina.it>
Repository: CRAN
Date/Publication: 2025-04-01 16:20:10 UTC

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New package LogisticEnsembles with initial version 0.5.0
Package: LogisticEnsembles
Title: Automatically Runs 36 Logistic Models (Individual and Ensembles)
Version: 0.5.0
Description: Automatically returns 36 logistic models including 23 individual models and 13 ensembles of models of logistic data. The package also returns 10 plots, 5 tables, and a summary report. The package automatically builds all 36 models, reports all results, and provides graphics to show how the models performed. This can be used for a wide range of data sets. The package includes medical data (the Pima Indians data set), and information about the performance of Lebron James. The package can be used to analyze many other examples, such as stock market data. The package automatically returns many values for each model, such as True Positive Rate, True Negative Rate, False Positive Rate, False Negative Rate, Positive Predictive Value, Negative Predictive Value, F1 Score, Area Under the Curve. The package also returns 36 Receiver Operating Characteristic (ROC) curves for each of the 36 models.
License: MIT + file LICENSE
Depends: adabag, arm, brnn, C50, car, corrplot, Cubist, doParallel, dplyr, e1071, gam, gbm, ggplot2, ggplotify, graphics, gridExtra, gt, ipred, klaR, MachineShop, magrittr, MASS, mda, parallel, pls, pROC, purrr, R (>= 2.10), randomForest, ranger, reactable, reactablefmtr, readr, rpart, scales, stats, tidyr, tree, utils, xgboost
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/InfiniteCuriosity/LogisticEnsembles
BugReports: https://github.com/InfiniteCuriosity/LogisticEnsembles/issues
NeedsCompilation: no
Packaged: 2025-03-30 23:39:17 UTC; russellconte
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:10:01 UTC

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New package GENEAcore with initial version 1.0.0
Package: GENEAcore
Title: Pre-Processing of 'GENEActiv' Data
Version: 1.0.0
Date: 2025-03-24
Maintainer: Jia Ying Chua <jiayingc@activinsights.com>
Description: Analytics to read in and segment raw 'GENEActiv' accelerometer data into epochs and events. For more details on the 'GENEActiv' device, see <https://activinsights.com/resources/geneactiv-support-1-2/>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: changepoint, signal, methods
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), GENEAread (>= 2.0.10), GENEAclassify
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-31 12:36:35 UTC; JiaYingChua
Author: Joss Langford [aut], Ian Long [aut], Jia Ying Chua [aut, cre], Activinsights Ltd [cph]
Repository: CRAN
Date/Publication: 2025-04-01 16:30:10 UTC

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New package ForecastingEnsembles with initial version 0.5.0
Package: ForecastingEnsembles
Title: Time Series Forecasting Using 23 Individual Models
Version: 0.5.0
Description: Runs multiple individual time series models, and combines them into an ensembles of time series models. This is mainly used to predict the results of the monthly labor market report from the United States Bureau of Labor Statistics for virtually any part of the economy reported by the Bureau of Labor Statistics, but it can be easily modified to work with other types of time series data. For example, the package was used to predict the winning men's and women's time for the 2024 London Marathon.
License: MIT + file LICENSE
Depends: doParallel, dplyr, fable, fabletools, fable.prophet, feasts, fracdiff, ggplot2, gt, magrittr, parallel, readr, stats, tibble, tidyr, tsibble, urca, utils, R (>= 2.10)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/InfiniteCuriosity/ForecastingEnsembles
BugReports: https://github.com/InfiniteCuriosity/ForecastingEnsembles/issues
NeedsCompilation: no
Packaged: 2025-03-31 00:06:49 UTC; russellconte
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:20:14 UTC

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New package emend with initial version 0.1.0
Package: emend
Title: Cleaning Text Data with an AI Assistant
Version: 0.1.0
Description: Provides functions to clean and standardize messy data, including textual categories and free-text addresses, using Large Language Models. The package corrects typos, expands abbreviations, and maps inconsistent entries to standardized values. Ideal for Bioinformatics, business, and general data cleaning tasks.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, jsonlite, rlang, ellmer
Depends: R (>= 4.1.0)
LazyData: true
Suggests: rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/anuopensci/emend, https://anuopensci.github.io/emend/
BugReports: https://github.com/anuopensci/emend/issues
NeedsCompilation: no
Packaged: 2025-03-31 00:07:48 UTC; u1133824
Author: Emi Tanaka [aut, cph] , Jiajia Li [aut, cre]
Maintainer: Jiajia Li <lijia970324@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:20:02 UTC

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New package ClassificationEnsembles with initial version 0.5.0
Package: ClassificationEnsembles
Title: Automatically Builds 20 Classification Models
Version: 0.5.0
Description: Automatically builds 20 classification models from data. The package returns 26 plots, 5 tables and a summary report. The package automatically builds 12 individual classification models, including error (RMSE) and predictions. That data is used to create an ensemble, which is then modeled using 8 methods. The process is repeated as many times as the user requests. The mean of the results are presented in a summary table. The package returns the confusion matrices for all 20 models, tables of the correlation of the numeric data, the results of the variance inflation process, the head of the ensemble and the head of the data frame.
License: MIT + file LICENSE
Depends: C50, car, caret, corrplot, doParallel, dplyr, e1071, ggplot2, gt, ipred, MachineShop, magrittr, parallel, pls, purrr, R (>= 2.10), randomForest, ranger, reactable, reactablefmtr, scales, tidyr, tree
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/InfiniteCuriosity/ClassificationEnsembles
BugReports: https://github.com/InfiniteCuriosity/ClassificationEnsembles/issues
NeedsCompilation: no
Packaged: 2025-03-30 22:25:56 UTC; russellconte
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:10:05 UTC

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New package calcite with initial version 0.1.0
Package: calcite
Title: Bindings to the Calcite Design System 'JavaScript' Component Library
Version: 0.1.0
Description: Provides access to the 'Calcite Design System' 'javascript' components via integration with the 'htmltools' and 'shiny' packages. Pre-built and interactive components can be used to generate either static html or interactive web applications. Learn more about the 'Calcite Design System' at <https://developers.arcgis.com/calcite-design-system/>.
License: Apache License (>= 2)
Imports: htmltools, rlang, shiny
Encoding: UTF-8
Language: en
NeedsCompilation: no
Packaged: 2025-03-31 14:58:09 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:40:10 UTC

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New package biometrics with initial version 1.0.1
Package: biometrics
Version: 1.0.1
Date: 2025-03-27
Title: Functions and Datasets for Forest Biometrics and Modelling
Description: A system of functions and data aiming to apply quantitative analyses to forest ecology, silviculture and decision-support systems. Besides, the package helps to carry out data management, exploratory analysis, and model assessment.
License: GPL-3
URL: https://eljatib.com
Depends: R (>= 3.5.0)
Imports: lattice, ggplot2, stats, graphics, datana
Suggests: foreign, gdata, car, agricolae, multcomp
Encoding: UTF-8
Language: en-US
BuildResaveData: best
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-03-31 05:50:30 UTC; christian
Author: Christian Salas-Eljatib [aut, cre] , Pino Nicolas [ctb] , Riquelme Joaquin [ctb]
Maintainer: Christian Salas-Eljatib <cseljatib@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:20:05 UTC

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New package NumericEnsembles with initial version 0.5.0
Package: NumericEnsembles
Title: Automatically Runs 23 Individual and 17 Ensembles of Models
Version: 0.5.0
Depends: Cubist, Metrics, arm, brnn, broom, car, caret, corrplot, doParallel, dplyr, e1071, earth, gam, gbm, ggplot2, glmnet, graphics, grDevices, gridExtra, ipred, leaps, nnet, parallel, pls, purrr, randomForest, reactable, reactablefmtr, readr, rpart, stats, tidyr, tree, utils, xgboost, R (>= 4.1.0)
Description: Automatically runs 23 individual models and 17 ensembles on numeric data. The package automatically returns complete results on all 40 models, 25 charts, multiple tables. The user simply provides the data, and answers a few questions (for example, how many times would you like to resample the data). From there the package randomly splits the data into train, test and validation sets, builds models on the training data, makes predictions on the test and validation sets, measures root mean squared error (RMSE), removes features above a user-set level of Variance Inflation Factor, and has several optional features including scaling all numeric data, four different ways to handle strings in the data. Perhaps the most significant feature is the package's ability to make predictions using the 40 pre trained models on totally new (untrained) data if the user selects that feature. This feature alone represents a very effective solution to the issue of reproducibility of models in data science. [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: http://www.NumericEnsembles.com, https://github.com/InfiniteCuriosity/NumericEnsembles
BugReports: https://github.com/InfiniteCuriosity/NumericEnsembles/issues
NeedsCompilation: no
Packaged: 2025-03-30 20:05:59 UTC; russellconte
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Repository: CRAN
Date/Publication: 2025-04-01 15:50:13 UTC

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New package nonstat with initial version 0.0.6
Package: nonstat
Title: Detecting Nonstationarity in Time Series
Version: 0.0.6
Maintainer: Martin Hecht <martin.hecht@hsu-hh.de>
Description: Provides a nonvisual procedure for screening time series for nonstationarity in the context of intensive longitudinal designs, such as ecological momentary assessments. The method combines two diagnostics: one for detecting trends (based on the split R-hat statistic from Bayesian convergence diagnostics) and one for detecting changes in variance (a novel extension inspired by Levene's test). This approach allows researchers to efficiently and reproducibly detect violations of the stationarity assumption, especially when visual inspection of many individual time series is impractical. The procedure is suitable for use in all areas of research where time series analysis is central. For a detailed description of the method and its validation through simulations and empirical application, see Zitzmann, S., Lindner, C., Lohmann, J. F., & Hecht, M. (2024) "A Novel Nonvisual Procedure for Screening for Nonstationarity in Time Series as Obtained from Intensive Longitudinal Designs" <htt [...truncated...]
License: GPL-3
Depends: R (>= 3.5.0)
NeedsCompilation: no
Encoding: UTF-8
Language: en-US
Packaged: 2025-03-30 20:01:40 UTC; martin
Author: Martin Hecht [aut, cre], Steffen Zitzmann [aut]
Repository: CRAN
Date/Publication: 2025-04-01 15:50:02 UTC

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New package archeoViz with initial version 1.4.0
Package: archeoViz
Title: Visualisation, Exploration, and Web Communication of Archaeological Spatial Data
Version: 1.4.0
Date: 2025-04-01
Author: Sebastien Plutniak [aut, cre] , Renata Araujo [ctb] , Laura Coltofean [ctb] , Nicolas Delsol [ctb] , Sara Giardino [ctb] , Julian Laabs [ctb]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>
Description: An R 'Shiny' application for visual and statistical exploration and web communication of archaeological spatial data, either remains or sites. It offers interactive 3D and 2D visualisations (cross sections and maps of remains, timeline of the work made in a site) which can be exported in SVG and HTML formats. It performs simple spatial statistics (convex hull, regression surfaces, 2D kernel density estimation) and allows exporting data to other online applications for more complex methods. 'archeoViz' can be used offline locally or deployed on a server, either with interactive input of data or with a static data set. Example is provided at <https://analytics.huma-num.fr/archeoviz/en>.
License: GPL-3
Repository: CRAN
Encoding: UTF-8
Imports: ggplot2, plotly, mgcv, geometry, reshape2, svglite, htmlwidgets, shiny, shinythemes, knitr,
Suggests: covr, SEAHORS, rmarkdown, markdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://archeoviz.hypotheses.org, https://github.com/sebastien-plutniak/archeoviz
BugReports: https://github.com/sebastien-plutniak/archeoviz/issues
NeedsCompilation: no
Packaged: 2025-04-01 11:51:25 UTC; seb
Date/Publication: 2025-04-01 13:10:09 UTC

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New package shapr with initial version 1.0.3
Package: shapr
Version: 1.0.3
Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements methods which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.
URL: https://norskregnesentral.github.io/shapr/, https://github.com/NorskRegnesentral/shapr/
BugReports: https://github.com/NorskRegnesentral/shapr/issues
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
Language: en-US
Depends: R (>= 3.5.0)
Imports: stats, data.table (>= 1.15.0), Rcpp (>= 0.12.15), Matrix, future.apply, methods
Suggests: ranger, xgboost, mgcv, testthat (>= 3.0.0), knitr, rmarkdown, roxygen2, ggplot2, gbm, party, partykit, waldo, progressr, future, ggbeeswarm, vdiffr, forecast, torch, GGally, coro, parsnip, recipes, workflows, tune, dials, yardstick, hardhat, rsample, rlang, cli
LinkingTo: RcppArmadillo, Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-26 13:36:18 UTC; jullum
Author: Martin Jullum [cre, aut] , Lars Henry Berge Olsen [aut] , Annabelle Redelmeier [aut], Jon Lachmann [aut] , Nikolai Sellereite [aut] , Anders Loeland [ctb], Jens Christian Wahl [ctb], Camilla Lingjaerde [ctb], Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>
Repository: CRAN
Date/Publication: 2025-03-26 17:10:02 UTC

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New package rim with initial version 0.8.0
Package: rim
Title: Interface to 'Maxima', Enabling Symbolic Computation
Version: 0.8.0
Date: 2025-04-01
Description: An interface to the powerful and fairly complete computer algebra system 'Maxima'. It can be used to start and control 'Maxima' from within R by entering 'Maxima' commands. Results from 'Maxima' can be parsed and evaluated in R. It facilitates outputting results from 'Maxima' in 'LaTeX' and 'MathML'. 2D and 3D plots can be displayed directly. This package also registers a 'knitr'-engine enabling 'Maxima' code chunks to be written in 'RMarkdown' documents.
URL: https://rcst.github.io/rim/
BugReports: https://github.com/rcst/rim/issues
SystemRequirements: Maxima (https://sourceforge.net/projects/maxima/, tested with versions 5.42.0 - 5.46.0), needs to be on PATH
License: GPL (>= 3)
Imports: methods, Rcpp, R6, knitr, GlobalOptions
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), rmarkdown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-04-01 06:54:32 UTC; eric
Author: Eric Stemmler [aut, cre], Kseniia Shumelchyk [aut], Hans W. Borchers [aut]
Maintainer: Eric Stemmler <stemmler.eric@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 08:50:02 UTC

More information about rim at CRAN
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New package CytOpT with initial version 0.9.8
Package: CytOpT
Title: Optimal Transport for Gating Transfer in Cytometry Data with Domain Adaptation
Version: 0.9.8
Date: 2025-03-31
Maintainer: Boris Hejblum <boris.hejblum@u-bordeaux.fr>
SystemRequirements: Python (>= 3.7)
Description: Supervised learning from a source distribution (with known segmentation into cell sub-populations) to fit a target distribution with unknown segmentation. It relies regularized optimal transport to directly estimate the different cell population proportions from a biological sample characterized with flow cytometry measurements. It is based on the regularized Wasserstein metric to compare cytometry measurements from different samples, thus accounting for possible mis-alignment of a given cell population across sample (due to technical variability from the technology of measurements). Supervised learning technique based on the Wasserstein metric that is used to estimate an optimal re-weighting of class proportions in a mixture model Details are presented in Freulon P, Bigot J and Hejblum BP (2023) <doi:10.1214/22-AOAS1660>.
License: GPL (>= 2)
Repository: CRAN
URL: https://sistm.github.io/CytOpT-R/, https://github.com/sistm/CytOpT-R/
Depends: R (>= 3.6)
LazyData: true
Encoding: UTF-8
Imports: ggplot2 (>= 3.0.0), MetBrewer, patchwork, reshape2, reticulate, stats, testthat (>= 3.0.0)
Suggests: rmarkdown, knitr, covr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-31 22:14:53 UTC; boris
Author: Boris Hejblum [aut, cre], Paul Freulon [aut], Kalidou Ba [aut, trl]
Date/Publication: 2025-04-01 06:50:07 UTC

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Mon, 31 Mar 2025

New package tsaux with initial version 1.0.0
Package: tsaux
Title: Time Series Forecasting Auxiliary Functions
Version: 1.0.0
Maintainer: Alexios Galanos <alexios@4dscape.com>
Description: A suite of auxiliary functions that enhance time series estimation and forecasting, including a robust anomaly detection routine based on Chen and Liu (1993) <doi:10.2307/2290724> (imported and wrapped from the 'tsoutliers' package), utilities for managing calendar and time conversions, performance metrics to assess both point forecasts and distributional predictions, advanced simulation by allowing the generation of time series components—such as trend, seasonal, ARMA, irregular, and anomalies—in a modular fashion based on the innovations form of the state space model and a number of transformation methods including Box-Cox, Logit, 'Softplus-Logit' and Sigmoid.
Depends: R (>= 4.1.0), tsmethods
Imports: methods, zoo, xts, lubridate, car, Rdpack, scoringRules, stlplus, tsoutliers, forecast, data.table
License: GPL-2
Encoding: UTF-8
BugReports: https://github.com/tsmodels/tsaux/issues
URL: https://github.com/tsmodels/tsaux
Suggests: knitr, kableExtra, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-29 19:39:16 UTC; alexios
Author: Alexios Galanos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-03-31 17:30:01 UTC

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New package subselect with initial version 0.16.0
Package: subselect
Version: 0.16.0
Date: 2025-03-29
Title: Selecting Variable Subsets
Author: Jorge Orestes Cerdeira [aut], Pedro Duarte Silva [aut, cre], Jorge Cadima [aut], Manuel Minhoto [aut]
Maintainer: Pedro Duarte Silva <psilva@ucp.pt>
Description: A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria. Theoretical support for the heuristic search methods and exploratory data analysis criteria is in Cadima, Cerdeira, Minhoto (2003, <doi:10.1016/j.csda.2003.11.001>). Theoretical support for the leap and bounds algorithm and the criteria for the general multivariate linear model is in Duarte Silva (2001, <doi:10.1006/jmva.2000.1920>). There is a package vignette "subselect", which includes additional references.
Depends: R (>= 3.5.0)
Imports: MASS, ISwR, corpcor
License: GPL (>= 2)
Repository: CRAN
LazyData: TRUE
NeedsCompilation: yes
Packaged: 2025-03-29 11:54:00 UTC; antonio
Date/Publication: 2025-03-31 17:10:01 UTC

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New package MVOPR with initial version 2.0.0
Package: MVOPR
Title: Multi-View Orthogonal Projection Regression for Multi-Modality Integration
Version: 2.0.0
Description: Implements the 'MVOPR' (Multi-View Orthogonal Projection Regression) method for robust variable selection and integration of multi-modality data.
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: ncvreg, rrpack
Suggests: testthat (>= 3.0.0)
URL: https://arxiv.org/abs/2503.16807
NeedsCompilation: no
Packaged: 2025-03-29 21:26:46 UTC; 10979
Author: Zongrui Dai [aut, cre] , Gen Li [aut]
Maintainer: Zongrui Dai <daizr@umich.edu>
Repository: CRAN
Date/Publication: 2025-03-31 17:30:10 UTC

More information about MVOPR at CRAN
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New package LikertEZ with initial version 0.1.0
Package: LikertEZ
Title: Easy Analysis and Visualization of Likert Scale Data
Version: 0.1.0
Description: Provides functions for summarizing, visualizing, and analyzing Likert-scale survey data. Includes support for computing descriptive statistics, Relative Importance Index (RII), reliability analysis (Cronbach's Alpha), and response distribution plots.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, stats, utils
NeedsCompilation: no
Packaged: 2025-03-29 18:14:56 UTC; ALIENWARE
Author: Mohammad Mollazehi [aut, cre]
Maintainer: Mohammad Mollazehi <mmolazehi@lu.edu.qa>
Repository: CRAN
Date/Publication: 2025-03-31 17:30:13 UTC

More information about LikertEZ at CRAN
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New package delimtools with initial version 0.2.0
Package: delimtools
Title: Helper Functions for Species Delimitation Analysis
Version: 0.2.0
Date: 2025-03-10
Description: Helpers functions to process, analyse, and visualize the output of single locus species delimitation methods. For full functionality, please install suggested software at <https://legallab.github.io/delimtools/articles/install.html>.
License: MIT + file LICENSE
Depends: R (>= 4.2.0)
Imports: cli, dplyr, glue, ggtree, methods, purrr, rlang, stringr, tidyr, tidyselect
Suggests: ape, bGMYC (>= 1.0.2), forcats, furrr, future, ggfun, ggplot2, gtools, knitr, patchwork, randomcoloR, readr, RColorBrewer, scales, splits (>= 1.0.20), spider, tibble, tidytree, vctrs, withr, rmarkdown
Additional_repositories: https://r-forge.r-project.org/, https://pedrosenna.github.io/drat/
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-30 05:00:59 UTC; pedro
Maintainer: Pedro Bittencourt <pedro.sennabittencourt@gmail.com>
URL: https://github.com/legalLab/delimtools, https://legallab.github.io/delimtools/
BugReports: https://github.com/legalLab/delimtools/issues
VignetteBuilder: knitr
Author: Pedro Bittencourt [aut, cre, cph] , Rupert Collins [aut, ctb, cph] , Tomas Hrbek [aut, ctb]
Repository: CRAN
Date/Publication: 2025-03-31 18:00:02 UTC

More information about delimtools at CRAN
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New package sixtyfour with initial version 0.2.0
Package: sixtyfour
Title: Humane Interface to Amazon Web Services
Version: 0.2.0
Description: An opinionated interface to Amazon Web Services <https://aws.amazon.com>, with functions for interacting with 'IAM' (Identity and Access Management), 'S3' (Simple Storage Service), 'RDS' (Relational Data Service), Redshift, and Billing. Lower level functions ('aws_' prefix) are for do it yourself workflows, while higher level functions ('six_' prefix) automate common tasks.
URL: https://github.com/getwilds/sixtyfour, https://getwilds.org/sixtyfour/
BugReports: https://github.com/getwilds/sixtyfour/issues
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr, paws (>= 0.9.0), paws.common (>= 0.8.1), purrr, rlang, tibble, fs, s3fs (>= 0.1.5), cli, glue, memoise, uuid, jsonlite, curl, tidyr, clipr, withr, ipaddress
Suggests: knitr, rmarkdown, roxyglobals, DBI, RPostgres, RMariaDB, ggplot2, lubridate, testthat (>= 3.0.0), vcr (>= 0.6.0), webmockr
NeedsCompilation: no
Packaged: 2025-03-28 21:39:39 UTC; schambe3
Author: Sean Kross [aut], Scott Chamberlain [aut, cre] , Fred Hutchinson Cancer Center [fnd]
Maintainer: Scott Chamberlain <sachamber@fredhutch.org>
Repository: CRAN
Date/Publication: 2025-03-31 16:40:02 UTC

More information about sixtyfour at CRAN
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New package serofoi with initial version 1.0.3
Package: serofoi
Title: Bayesian Estimation of the Force of Infection from Serological Data
Version: 1.0.3
Description: Estimating the force of infection from time varying, age varying, or constant serocatalytic models from population based seroprevalence studies using a Bayesian framework, including data simulation functions enabling the generation of serological surveys based on this models. This tool also provides a flexible prior specification syntax for the force of infection and the seroreversion rate, as well as methods to assess model convergence and comparison criteria along with useful visualisation functions.
License: MIT + file LICENSE
URL: https://github.com/epiverse-trace/serofoi, https://epiverse-trace.github.io/serofoi/
BugReports: https://github.com/epiverse-trace/serofoi/issues
Depends: R (>= 4.1.0)
Imports: bayesplot, checkmate, config, cowplot, dplyr, ggplot2, glue, graphics, loo, expm, methods, purrr, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 2.3.1), stats, tibble, tidyr
Suggests: knitr, rlang, rmarkdown, scales, spelling, testthat (>= 3.0.0)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
VignetteBuilder: knitr
Biarch: true
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
Packaged: 2025-03-27 14:51:29 UTC; torresn
Author: Zulma M. Cucunuba [aut, cre] , Nicolas T. Dominguez [aut] , Ben Lambert [aut], Pierre Nouvellet [aut], Geraldine Gomez [ctb] , Jaime A. Pavlich-Mariscal [ctb] , Hugo Gruson [ctb] , David Santiago Quevedo [ctb] , Miguel Gamez [ctb], Sumali Bajaj [ctb] [...truncated...]
Maintainer: Zulma M. Cucunuba <zulma.cucunuba@javeriana.edu.co>
Repository: CRAN
Date/Publication: 2025-03-31 10:00:02 UTC

More information about serofoi at CRAN
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New package eyeris with initial version 1.0.0
Package: eyeris
Title: Flexible, Extensible, & Reproducible Processing of Pupil Data
Version: 1.0.0
Date: 2025-03-28
Description: Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states (see Clewett et al., 2020 <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie, 2018 <doi:10.3758/s13428-018-1075-y>; Strauch, 2024 <doi:10.1016/j.tins.2024.06.002>). Yet, despite decades of pupillometry research, many established packages and workflows to date unfortunately lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles (see Wilkinson et al., 2016 <doi:10.1038/sdata.2016.18> for more information). 'eyeris', on the other hand, follows a design philosophy that provides users with an intuitive, modular, performant, and extensible pupillometry data preprocessing framework out-of-the-box. 'eyeris' introduces a Brain Imaging Data Structure (BIDS)-like organization for derivative (i.e., prepro [...truncated...]
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: eyelinker, dplyr, gsignal, purrr, zoo, cli, rlang, stringr, utils, stats, graphics, grDevices, tidyr, progress, data.table, withr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: MIT + file LICENSE
URL: https://shawnschwartz.com/eyeris/, https://github.com/shawntz/eyeris/
BugReports: https://github.com/shawntz/eyeris/issues
NeedsCompilation: no
Packaged: 2025-03-28 15:50:53 UTC; sts
Author: Shawn Schwartz [aut, cre, cph]
Maintainer: Shawn Schwartz <stschwartz@stanford.edu>
Repository: CRAN
Date/Publication: 2025-03-31 10:00:06 UTC

More information about eyeris at CRAN
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New package filibustr with initial version 0.3.0
Package: filibustr
Title: Data Utilities for Congressional Research
Version: 0.3.0
Description: Provides easy-to-understand and consistent interfaces for accessing data on the U.S. Congress. The functions in 'filibustr' streamline the process for importing data on Congress into R, removing the need to download and work from CSV files and the like. Data sources include 'Voteview' (<https://voteview.com/>), the U.S. Senate website (<https://www.senate.gov/>), and more.
License: MIT + file LICENSE
URL: https://github.com/feinleib/filibustr, https://feinleib.github.io/filibustr/
BugReports: https://github.com/feinleib/filibustr/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, haven, httr2, lifecycle, readr, rlang, rvest, stringr, tidyr, tools
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-30 17:06:13 UTC; mhfeinleib
Author: Max Feinleib [aut, cre, cph]
Maintainer: Max Feinleib <mhfeinleib@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-31 07:00:01 UTC

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New package brokenstick with initial version 2.6.0
Package: brokenstick
Title: Broken Stick Model for Irregular Longitudinal Data
Version: 2.6.0
Description: Data on multiple individuals through time are often sampled at times that differ between persons. Irregular observation times can severely complicate the statistical analysis of the data. The broken stick model approximates each subject’s trajectory by one or more connected line segments. The times at which segments connect (breakpoints) are identical for all subjects and under control of the user. A well-fitting broken stick model effectively transforms individual measurements made at irregular times into regular trajectories with common observation times. Specification of the model requires three variables: time, measurement and subject. The model is a special case of the linear mixed model, with time as a linear B-spline and subject as the grouping factor. The main assumptions are: subjects are exchangeable, trajectories between consecutive breakpoints are straight, random effects follow a multivariate normal distribution, and unobserved data are missing at random. The package conta [...truncated...]
Depends: R (>= 3.5.0)
Imports: coda, dplyr, lme4, matrixsampling, methods, rlang, splines, stats, tidyr
Suggests: AGD, bookdown, ggplot2, grDevices, gridExtra, knitr, lattice, MASS, Matrix, mice, mvtnorm, plyr, svglite, testthat, rmarkdown
URL: doi:10.18637/jss.v106.i07, https://growthcharts.org/brokenstick/
BugReports: https://github.com/growthcharts/brokenstick/issues
Encoding: UTF-8
License: MIT + file LICENSE
LazyData: TRUE
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-28 14:47:54 UTC; buurensv
Author: Stef van Buuren [aut, cre]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>
Repository: CRAN
Date/Publication: 2025-03-31 05:40:02 UTC

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Sun, 30 Mar 2025

New package minimapR with initial version 0.0.1.1
Package: minimapR
Title: Wrapper for 'minimap2'
Version: 0.0.1.1
Date: 2025-03-28
Maintainer: Jake Reed <hreed.ga@gmail.com>
Description: Wrapper for 'Minimap2'. 'Minimap2' is a very valuable long read aligner for the Pacbio and Oxford Nanopore Technologies sequencing platforms. 'minimapR' is an R wrapper for 'minimap2' which was developed by Heng Li <me@liheng.org>. *SPECIAL NOTES 1. Examples can only be run from 'GitHub' installation. 2. 'conda' or 'mamba' must be used to install 'minimapR' on your system. Li, Heng (2018) <doi:10.1093/bioinformatics/bty191> "Minimap2: pairwise alignment for nucleotide sequences".
License: MIT + file LICENSE
Depends: R (>= 4.4.0), Rsamtools, pafr
URL: https://github.com/jake-bioinfo/minimapR
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-30 03:55:29 UTC; jakereed
Author: Jake Reed [aut, cre] , Pradyun Pulipaka [ctb]
Repository: CRAN
Date/Publication: 2025-03-30 16:10:02 UTC

More information about minimapR at CRAN
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New package CytOpT with initial version 0.9.7
Package: CytOpT
Title: Optimal Transport for Gating Transfer in Cytometry Data with Domain Adaptation
Version: 0.9.7
Date: 2025-03-27
Maintainer: Boris Hejblum <boris.hejblum@u-bordeaux.fr>
SystemRequirements: Python (>= 3.7)
Description: Supervised learning from a source distribution (with known segmentation into cell sub-populations) to fit a target distribution with unknown segmentation. It relies regularized optimal transport to directly estimate the different cell population proportions from a biological sample characterized with flow cytometry measurements. It is based on the regularized Wasserstein metric to compare cytometry measurements from different samples, thus accounting for possible mis-alignment of a given cell population across sample (due to technical variability from the technology of measurements). Supervised learning technique based on the Wasserstein metric that is used to estimate an optimal re-weighting of class proportions in a mixture model Details are presented in Freulon P, Bigot J and Hejblum BP (2023) <doi:10.1214/22-AOAS1660>.
License: GPL (>= 2)
Repository: CRAN
URL: https://sistm.github.io/CytOpT-R/, https://github.com/sistm/CytOpT-R/
Depends: R (>= 3.6)
LazyData: true
Encoding: UTF-8
Imports: ggplot2 (>= 3.0.0), MetBrewer, patchwork, reshape2, reticulate, stats, testthat (>= 3.0.0)
Suggests: rmarkdown, knitr, covr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-28 14:46:08 UTC; boris
Author: Boris Hejblum [aut, cre], Paul Freulon [aut], Kalidou Ba [aut, trl]
Date/Publication: 2025-03-30 17:00:10 UTC

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Fri, 28 Mar 2025

New package sae4health with initial version 1.2.0
Package: sae4health
Title: Small Area Estimation for Key Health and Demographic Indicators from Household Surveys
Version: 1.2.0
Description: Enables small area estimation (SAE) of health and demographic indicators in low- and middle-income countries (LMICs). It powers an R 'shiny' application that helps public health analysts, policymakers, and researchers generate subnational estimates and prevalence maps for 150+ binary indicators from Demographic and Health Surveys (DHS). Basing its core SAE analysis workflow on the 'surveyPrev' package, the app ensures methodological rigor through guided model selection, automated fitting, and interactive visualization. For more details, visit <https://sae4health.stat.uw.edu/>.
License: AGPL-3
URL: https://sae4health.stat.uw.edu/, https://github.com/wu-thomas/sae4health
BugReports: https://github.com/wu-thomas/sae4health/issues
Depends: R (>= 4.3)
Imports: config, dplyr, DT, ggplot2, golem (>= 0.4.1), grid, gridExtra, htmltools, htmlwidgets, leaflet, R6, sf, sp, shiny (>= 1.7.4), shinyBS, shinydashboard, shinyFeedback, shinyjs, shinyWidgets, SUMMER, surveyPrev, survey, geodata, bookdown, markdown, haven, ggridges, ggthemes, RColorBrewer, viridisLite, scales, patchwork, leaflegend, leafsync, methods, graphics, plotly, readr, sn
Suggests: INLA, testthat (>= 3.0.0)
Additional_repositories: https://inla.r-inla-download.org/R/testing/
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Language: en-US
Packaged: 2025-03-26 20:16:41 UTC; wu-th
Author: Yunhan Wu [cre, aut], Qianyu Dong [aut], Zehang R Li [aut], Jon Wakefield [aut]
Maintainer: Yunhan Wu <wu-thomas@outlook.com>
Repository: CRAN
Date/Publication: 2025-03-28 18:20:01 UTC

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New package msda with initial version 1.0.4
Package: msda
Title: Multi-Class Sparse Discriminant Analysis
Version: 1.0.4
Date: 2025-03-24
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Depends: Matrix, MASS
Imports: methods
Description: Efficient procedures for computing a new Multi-Class Sparse Discriminant Analysis method that estimates all discriminant directions simultaneously. It is an implementation of the work proposed by Mai, Q., Yang, Y., and Zou, H. (2019) <doi:10.5705/ss.202016.0117>.
LazyData: yes
License: GPL-2
URL: https://github.com/archer-yang-lab/msda
Packaged: 2025-03-27 00:45:59 UTC; jiaozi
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2025-03-28 18:40:02 UTC
Author: Qing Mai [aut], Yi Yang [aut, cre], Hui Zou [aut]

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New package dynemu with initial version 1.0.0
Package: dynemu
Title: Emulation of Dynamic Simulators via One-Step-Ahead Approach
Version: 1.0.0
Maintainer: Junoh Heo <heojunoh@msu.edu>
Description: Performs emulation of dynamic simulators using Gaussian process via one-step ahead approach. The package implements a flexible framework for approximating time-dependent outputs from computationally expensive dynamic systems. It is specifically designed for nonlinear dynamic systems where full simulations may be costly. The underlying Gaussian process model accounts for temporal dependency through the one-step-ahead formulation, allowing for accurate emulation of complex dynamics. Hyperparameters are estimated via maximum likelihood. See Heo (2025, <doi:10.48550/arXiv.2503.20250>) for exact method, and Mohammadi, Challenor, and Goodfellow (2019, <doi:10.1016/j.csda.2019.05.006>) for methodological details.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: deSolve, plgp, stats, utils, MASS
Suggests: lhs
NeedsCompilation: no
Packaged: 2025-03-27 18:34:32 UTC; junoh
Author: Junoh Heo [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-28 18:50:01 UTC

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New package massiveGST with initial version 1.2.4
Package: massiveGST
Title: Competitive Gene Sets Test with the Mann-Whitney-Wilcoxon Test
Version: 1.2.4
Date: 2025-03-25
Maintainer: Stefano Maria Pagnotta <pagnotta@unisannio.it>
Description: Friendly implementation of the Mann-Whitney-Wilcoxon test for competitive gene set enrichment analysis.
Depends: R (>= 4.4), formattable (>= 0.2.1), WriteXLS (>= 6.7.0), igraph (>= 2.1.4), visNetwork (>= 2.1.2)
Suggests: knitr, rmarkdown
License: GPL (>= 3)
URL: <https://github.com/stefanoMP/massiveGST>, <http://www.massivegenesetstest.org/>
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-28 12:18:03 UTC; stefano
Author: Stefano Maria Pagnotta [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-03-28 12:50:01 UTC

More information about massiveGST at CRAN
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Thu, 27 Mar 2025

New package pcpr with initial version 1.0.0
Package: pcpr
Title: Principal Component Pursuit for Environmental Epidemiology
Version: 1.0.0
Description: Implementation of the pattern recognition technique Principal Component Pursuit tailored to environmental health data, as described in Gibson et al (2022) <doi:10.1289/EHP10479>.
License: GPL (>= 3)
URL: https://columbia-prime.github.io/pcpr/, https://github.com/Columbia-PRIME/pcpr
BugReports: https://github.com/Columbia-PRIME/pcpr/issues
Depends: R (>= 3.5.0)
Imports: checkmate, dplyr, foreach, furrr, future, magrittr, progressr, purrr, rlang, tidyselect
Suggests: GGally, ggplot2, knitr, lubridate, metR, rmarkdown, tidyr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-26 18:44:18 UTC; lgc2035
Author: Lawrence G. Chillrud [aut, cre, cph] , Jaime Benavides [aut] , Elizabeth A. Gibson [aut] , Junhui Zhang [aut] , Jingkai Yan [aut] , John N. Wright [aut], Jeff Goldsmith [aut], Marianthi-Anna Kioumourtzoglou [aut] , Columbia University [fnd]
Maintainer: Lawrence G. Chillrud <lawrencechillrud@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-27 18:20:02 UTC

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New package VegSpecIndex with initial version 0.1.0
Package: VegSpecIndex
Title: Vegetation and Spectral Indices for Environmental Assessment
Version: 0.1.0
Maintainer: Tanuj Misra <tanujmisra102@gmail.com>
Description: Earth system dynamics, such as plant dynamics, water bodies, and fire regimes, are widely monitored using spectral indicators obtained from multispectral remote sensing products. There is a great need for spectral index catalogues and computing tools as a result of the quick rise of suggested spectral indices. Unfortunately, the majority of these resources lack a standard Application Programming Interface, are out-of-date, closed-source, or are not linked to a catalogue. We now introduce 'VegSpecIndex', a standardised list of spectral indices for studies of the earth system. A thorough inventory of spectral indices is offered by 'VegSpecIndex' and is connected to an R library. For every spectral index, 'VegSpecIndex' provides a comprehensive collection of information, such as names, formulae, and source references. The user community may add more items to the catalogue, which will keep 'VegSpecIndex' up to date and allow for further scientific uses. Additionally, the R library makes it [...truncated...]
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-26 11:51:11 UTC; PC
Author: Avijit Ghosh [aut, ctb, cph], Ram S Chaurasia [aut, ctb, cph], Tanuj Misra [aut, cre, ctb, cph], Amit Kumar Singh [aut, ctb, cph], Shailendra Kumar [aut, ctb, cph], Abhishek Chakraborty [aut, ctb, cph], Devanand [aut, ctb, cph], J P Singh [aut, ctb, [...truncated...]
Repository: CRAN
Date/Publication: 2025-03-27 17:50:06 UTC

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New package STCCGEV with initial version 1.0.0
Package: STCCGEV
Title: Conditional Copula Model for Crop Yield Forecasting
Version: 1.0.0
Description: Provides functions to model and forecast crop yields using a spatial temporal conditional copula approach. The package incorporates extreme weather covariates and Bayesian Structural Time Series models to analyze crop yield dependencies across multiple regions. Includes tools for fitting, simulating, and visualizing results. This method build upon established R packages, including 'Hofert' 'et' 'al'. (2025) <doi:10.32614/CRAN.package.copula>, 'Scott' (2024) <doi:10.32614/CRAN.package.bsts>, and 'Stephenson' 'et' 'al'. (2024) <doi:10.32614/CRAN.package.evd>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: bsts, copula, evd, ggplot2, grDevices, rootSolve, stats, utils
Depends: R (>= 4.0.0)
LazyData: true
LazyDataCompression: xz
Suggests: knitr, rmarkdown, testthat (>= 3.0.0),
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-26 05:39:16 UTC; liyongkun
Author: Marie Michaelides [aut], Melina Mailhot [aut], Yongkun Li [aut, cre]
Maintainer: Yongkun Li <yongkun.li@concordia.ca>
Repository: CRAN
Date/Publication: 2025-03-27 17:30:04 UTC

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New package neuroSCC with initial version 1.0.0
Package: neuroSCC
Title: Bridging Simultaneous Confidence Corridors and PET Neuroimaging
Version: 1.0.0
Maintainer: Juan A. Arias Lopez <juanantonio.arias.lopez@usc.es>
Description: Tools for the structured processing of PET neuroimaging data in preparation for the estimation of Simultaneous Confidence Corridors (SCCs) for one-group, two-group, or single-patient vs group comparisons. The package facilitates PET image loading, data restructuring, integration into a Functional Data Analysis framework, contour extraction, identification of significant results, and performance evaluation. It bridges established packages (e.g., 'oro.nifti') with novel statistical methodologies (e.g., 'ImageSCC') and enables reproducible analysis pipelines, including comparison with Statistical Parametric Mapping ('SPM').
License: MIT + file LICENSE
URL: https://iguanamarina.github.io/neuroSCC/, https://github.com/iguanamarina/PhD-2023-SCC-vs-SPM-Group-vs-Group, https://github.com/iguanamarina/PhD-2024-SCC-vs-SPM-SinglePatient-vs-Group
BugReports: https://github.com/iguanamarina/neuroSCC/issues
Depends: R (>= 4.2.0)
Imports: contoureR, dplyr, graphics, memisc, oro.nifti, stats, tidyr, utils
Suggests: BPST, ImageSCC, knitr, rcmdcheck, remotes, rmarkdown, roxygen2 (>= 7.1.0), Triangulation
Additional_repositories: https://iguanamarina.github.io/neuroSCC-drat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-26 15:20:33 UTC; juana
Author: Juan A. Arias Lopez [aut, cre, cph] , Virgilio Gomez Rubio [rev] , Pablo Aguiar Fernandez [ths] , Andrew Haddon Kemp [ths]
Repository: CRAN
Date/Publication: 2025-03-27 18:00:00 UTC

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New package mars with initial version 0.2.2
Package: mars
Title: Meta Analysis and Research Synthesis
Version: 0.2.2
Description: Includes functions for conducting univariate and multivariate meta-analysis. This includes the estimation of the asymptotic variance-covariance matrix of effect sizes. For more details see Becker (1992) <doi:10.2307/1165128>, Cooper, Hedges, and Valentine (2019) <doi:10.7758/9781610448864>, and Schmid, Stijnen, and White (2020) <doi:10.1201/9781315119403>.
Depends: R (>= 4.2)
Imports: Matrix, corpcor, matrixcalc
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, dplyr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-26 16:11:16 UTC; blebeau
Author: Brandon LeBeau [aut, cre] , Ariel M. Aloe [aut], Betsy Jane Becker [ctb], Seohee Park [ctb], Roberto C. Toro Rodriguez [ctb]
Maintainer: Brandon LeBeau <lebebr01+mars@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-27 18:00:05 UTC

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New package HMDA with initial version 0.1
Package: HMDA
Title: Holistic Multimodel Domain Analysis for Exploratory Machine Learning
Version: 0.1
Depends: R (>= 3.5.0)
Description: Holistic Multimodel Domain Analysis (HMDA) is a robust and transparent framework designed for exploratory machine learning research, aiming to enhance the process of feature assessment and selection. HMDA addresses key limitations of traditional machine learning methods by evaluating the consistency across multiple high-performing models within a fine-tuned modeling grid, thereby improving the interpretability and reliability of feature importance assessments. Specifically, it computes Weighted Mean SHapley Additive exPlanations (WMSHAP), which aggregate feature contributions from multiple models based on weighted performance metrics. HMDA also provides confidence intervals to demonstrate the stability of these feature importance estimates. This framework is particularly beneficial for analyzing complex, multidimensional datasets common in health research, supporting reliable exploration of mental health outcomes such as suicidal ideation, suicide attempts, and other psychological cond [...truncated...]
Imports: curl (>= 4.3.0), h2o (>= 3.34.0.0), shapley (>= 0.5), autoEnsemble (>= 0.3), h2otools (>= 0.4), splitTools (>= 1.0.1), psych (>= 2.4.6), dplyr (>= 1.1.4), ggplot2 (>= 3.4.2)
License: MIT + file LICENSE
Encoding: UTF-8
URL: http://dx.doi.org/10.13140/RG.2.2.32473.63846, https://github.com/haghish/HMDA, https://www.sv.uio.no/psi/english/people/academic/haghish/
BugReports: https://github.com/haghish/HMDA/issues
NeedsCompilation: no
Packaged: 2025-03-26 11:39:13 UTC; haghish
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@hotmail.com>
Repository: CRAN
Date/Publication: 2025-03-27 17:40:02 UTC

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New package flexord with initial version 1.0.0
Package: flexord
Title: Flexible Clustering of Ordinal and Mixed-with-Ordinal Data
Version: 1.0.0
Description: Extends the capabilities for flexible partitioning and model-based clustering available in the packages 'flexclust' and 'flexmix' to handle ordinal and mixed-with-ordinal data types via new distance, centroid and driver functions that make various assumptions regarding ordinality. Using them within the flex-scheme allows for easy comparisons across methods.
Imports: flexclust (>= 1.5.0), methods, mvtnorm, flexmix
Suggests: rmarkdown, knitr
License: GPL-2
Encoding: UTF-8
URL: https://zettlchen.github.io/flexord/
BugReports: https://github.com/dernst/flexord/issues
VignetteBuilder: rmarkdown, knitr
Depends: R (>= 4.3)
NeedsCompilation: no
Packaged: 2025-03-26 12:02:37 UTC; zettlchen
Author: Lena Ortega Menjivar [aut, cre] , Dominik Ernst [aut] , Theresa Scharl [ctb] , Bettina Gruen [ctb] , Ivan Kondofersky [ctb]
Maintainer: Lena Ortega Menjivar <lena.ortega-menjivar@boku.ac.at>
Repository: CRAN
Date/Publication: 2025-03-27 17:50:02 UTC

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New package fChange with initial version 2.0.0
Package: fChange
Title: Functional Change Point Detection and Analysis
Version: 2.0.0
Description: Analyze functional data and its change points. Includes functionality to store and process data, summarize and validate assumptions, characterize and perform inference of change points, and provide visualizations. Data is stored as discretely collected observations without requiring the selection of basis functions. For more details see chapter 8 of Horvath and Rice (2024) <doi:10.1007/978-3-031-51609-2>. Additional papers are forthcoming. Focused works are also included in the documentation of corresponding functions.
Encoding: UTF-8
Imports: dplyr, fastmatrix, fda, ftsa, ggplot2, ggpubr, graphics, grDevices, MASS, methods, plot3D, plotly, rainbow, RColorBrewer, Rcpp, RcppArmadillo, Rfast, sandwich, scales, stats, tensorA, tidyr, vars
LinkingTo: Rcpp, RcppArmadillo
Suggests: CompQuadForm, fda.usc, forecast, funData, jmuOutlier, knitr, lattice, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
URL: https://jrvanderdoes.github.io/fChange/
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2025-03-26 16:36:05 UTC; jerem
Author: Jeremy VanderDoes [aut, cre, cph] , Gregory Rice [aut], Martin Wendler [aut]
Maintainer: Jeremy VanderDoes <jeremy.vanderdoes@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-27 18:00:09 UTC

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New package marlod with initial version 0.2.0
Package: marlod
Title: Marginal Modeling for Exposure Data with Values Below the LOD
Version: 0.2.0
Depends: R (>= 2.10)
Imports: MASS, survival, quantreg, stats, knitr, utils
Maintainer: I-Chen Chen <okv0@cdc.gov>
Description: Functions of marginal mean and quantile regression models are used to analyze environmental exposure and biomonitoring data with repeated measurements and non-detects (i.e., values below the limit of detection (LOD)), as well as longitudinal exposure data that include non-detects and time-dependent covariates. For more details see Chen IC, Bertke SJ, Curwin BD (2021) <doi:10.1038/s41370-021-00345-1>, Chen IC, Bertke SJ, Estill CF (2024) <doi:10.1038/s41370-024-00640-7>, Chen IC, Bertke SJ, Dahm MM (2024) <doi:10.1093/annweh/wxae068>, and Chen IC (2025) <doi:10.1038/s41370-025-00752-8>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
LazyData: true
Suggests: rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Packaged: 2025-03-26 17:52:03 UTC; okv0
Author: I-Chen Chen [cre, aut] , Philip Westgate [ctb], Liya Fu [ctb]
Date/Publication: 2025-03-27 11:50:18 UTC

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Wed, 26 Mar 2025

New package varycoef with initial version 0.3.5
Package: varycoef
Title: Modeling Spatially Varying Coefficients
Version: 0.3.5
Description: Implements a maximum likelihood estimation (MLE) method for estimation and prediction of Gaussian process-based spatially varying coefficient (SVC) models (Dambon et al. (2021a) <doi:10.1016/j.spasta.2020.100470>). Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>) can be applied such that the method scales to large data. Further, it implements a joint variable selection of the fixed and random effects (Dambon et al. (2021b) <doi:10.1080/13658816.2022.2097684>). The package and its capabilities are described in (Dambon et al. (2021c) <doi:10.48550/arXiv.2106.02364>).
License: GPL-2
URL: https://github.com/jakobdambon/varycoef
BugReports: https://github.com/jakobdambon/varycoef/issues
Depends: R (>= 3.5.0)
Imports: glmnet, lhs, methods, mlr, mlrMBO, optimParallel (>= 0.8-1), ParamHelpers, pbapply, smoof, spam
Suggests: DiceKriging, knitr, lattice, latticeExtra, parallel, rmarkdown, sp, spData, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-26 10:30:06 UTC; jakob
Author: Jakob A. Dambon [aut, cre] , Fabio Sigrist [ctb] , Reinhard Furrer [ctb]
Maintainer: Jakob A. Dambon <jakob.dambon@math.ethz.ch>
Repository: CRAN
Date/Publication: 2025-03-26 17:30:02 UTC

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New package asympDiag with initial version 0.3.0
Package: asympDiag
Title: Diagnostic Tools for Asymptotic Theory
Version: 0.3.0
Description: Leveraging Monte Carlo simulations, this package provides tools for diagnosing regression models. It implements a parametric bootstrap framework to compute statistics, generates diagnostic envelopes to assess goodness-of-fit, and evaluates type I error control for Wald tests. By simulating data under the assumption that the model is true, it helps to identify model mis-specifications and enhances the reliability of the model inferences.
License: MIT + file LICENSE
URL: https://github.com/Alvaro-Kothe/asympDiag
BugReports: https://github.com/Alvaro-Kothe/asympDiag/issues
Imports: cli
Suggests: glmmTMB, lme4, MASS, Matrix, rlang, sandwich, survival, testthat (>= 3.0.0), vctrs, withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-25 19:43:18 UTC; alvarojsk
Author: Alvaro Kothe [aut, cre, cph] , Alexandre Patriota [aut]
Maintainer: Alvaro Kothe <kothe65@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-26 11:10:06 UTC

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New package meddra.read with initial version 0.0.1
Package: meddra.read
Title: Load and Use 'MedDRA' Data for Clinical Trials
Version: 0.0.1
Description: 'MedDRA' data is used for defining adverse events in clinical studies. You can load and merge the data for use in categorizing the adverse events using this package. The package requires the data licensed from 'MedDRA' <https://www.meddra.org/>.
License: MIT + file LICENSE
Imports: dplyr
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://humanpred.github.io/meddra.read/
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-25 16:28:07 UTC; bill
Author: Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Repository: CRAN
Date/Publication: 2025-03-26 10:40:13 UTC

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New package AOUSDOHtools with initial version 1.0.4
Package: AOUSDOHtools
Title: Analyzing AOU SDOH Survey Data
Version: 1.0.4
Description: Functions for processing and analyzing survey data from the All of Us Social Determinants of Health (AOUSDOH) program, including tools for calculating health and well-being scores, recoding variables, and simplifying survey data analysis. For more details see - Koleck TA, Dreisbach C, Zhang C, Grayson S, Lor M, Deng Z, Conway A, Higgins PDR, Bakken S (2024) <doi:10.1093/jamia/ocae214>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, devtools, usethis
URL: https://github.com/zhd52/AOUSDOHtools
BugReports: https://github.com/zhd52/AOUSDOHtools/issues
NeedsCompilation: no
Packaged: 2025-03-25 16:45:09 UTC; ZHD52
Author: Zhirui Deng [aut, cre], Theresa A. Koleck [ctb], Caitlin Dreisbach [ctb], Chen Zhang [ctb], Peter D.R. Higgins [ctb], DreisbachLab [cph]
Maintainer: Zhirui Deng <zhd52@pitt.edu>
Repository: CRAN
Date/Publication: 2025-03-26 10:50:02 UTC

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Tue, 25 Mar 2025

New package erboost with initial version 1.5
Package: erboost
Title: Nonparametric Multiple Expectile Regression via ER-Boost
Version: 1.5
Date: 2025-03-24
Depends: R (>= 2.12.0), lattice, splines
Description: Expectile regression is a nice tool for estimating the conditional expectiles of a response variable given a set of covariates. This package implements a regression tree based gradient boosting estimator for nonparametric multiple expectile regression, proposed by Yang, Y., Qian, W. and Zou, H. (2018) <doi:10.1080/00949655.2013.876024>. The code is based on the 'gbm' package originally developed by Greg Ridgeway.
License: GPL-3
Packaged: 2025-03-25 03:24:55 UTC; jiaozi
NeedsCompilation: yes
Date/Publication: 2025-03-25 16:10:01 UTC
Author: Yi Yang [aut, cre] , Hui Zou [aut] , Greg Ridgeway [ctb, cph]
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Repository: CRAN

More information about erboost at CRAN
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New package TDboost with initial version 1.6
Package: TDboost
Title: A Boosted Tweedie Compound Poisson Model
Version: 1.6
Date: 2025-03-24
Depends: R (>= 2.12.0), lattice
Description: An implementation of a boosted Tweedie compound Poisson model proposed by Yang, Y., Qian, W. and Zou, H. (2018) <doi:10.1080/07350015.2016.1200981>. It is capable of fitting a flexible nonlinear Tweedie compound Poisson model (or a gamma model) and capturing high-order interactions among predictors. This package is based on the 'gbm' package originally developed by Greg Ridgeway.
LazyData: yes
License: GPL-3
Packaged: 2025-03-25 02:55:30 UTC; jiaozi
NeedsCompilation: yes
Date/Publication: 2025-03-25 16:00:02 UTC
Author: Yi Yang [aut, cre] , Hui Zou [aut] , Wei Qian [aut] , Greg Ridgeway [ctb, cph]
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Repository: CRAN

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New package Spower with initial version 0.2.2
Package: Spower
Title: Power Analyses using Monte Carlo Simulations
Version: 0.2.2
Description: Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation variants of (expected) prospective power analyses, criterion power analyses, compromise power analyses, sensitivity analyses, and prospective/post-hoc power analyses. The default simulation experiment functions found within the package provide stochastic variants of the power analyses subroutines found in the G*Power 3 software (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other power analysis examples (e.g., mediation analyses). Supporting functions are also included, such as for building empirical power curve estimates, which utilize a similar API structure.
Depends: SimDesign (>= 2.19.1), R (>= 4.1.0), stats
Imports: cocor, car, polycor, parallelly, methods, ggplot2, plotly, lavaan, EnvStats
Suggests: knitr, rmarkdown, bookdown, VGAM, copula, pwr
VignetteBuilder: knitr
License: GPL (>= 3)
Encoding: UTF-8
Repository: CRAN
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>
URL: https://github.com/philchalmers/Spower
BugReports: https://github.com/philchalmers/Spower/issues?state=open
NeedsCompilation: no
Packaged: 2025-03-24 14:39:32 UTC; phil
Author: Phil Chalmers [aut, cre]
Date/Publication: 2025-03-25 15:40:02 UTC

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New package rdhte with initial version 0.0.1
Package: rdhte
Title: Heterogeneous Treatment Effects in Regression Discontinuity Designs
Version: 0.0.1
Description: Understanding heterogeneous causal effects based on pretreatment covariates is a crucial step in modern empirical work in data science. Building on the recent developments in Calonico et al (2025) <https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Palomba-Titiunik_2025_HTERD.pdf>, this package provides tools for estimation and inference of heterogeneous treatment effects in Regression Discontinuity (RD) Designs. The package includes two main commands: 'rdhte' to conduct estimation and robust bias-corrected inference for conditional RD treatment effects (given choice of bandwidth parameter); and 'rdbwhte', which implements automatic bandwidth selection methods.
License: GPL-2
Imports: rdrobust, sandwich
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-24 18:03:11 UTC; sebastian
Author: Sebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut], Filippo Palomba [aut], Rocio Titiunik [aut]
Maintainer: Sebastian Calonico <scalonico@ucdavis.edu>
Repository: CRAN
Date/Publication: 2025-03-25 15:50:02 UTC

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New package RcppPlanc with initial version 2.0.0
Package: RcppPlanc
Title: Parallel Low-Rank Approximation with Nonnegativity Constraints
Version: 2.0.0
Date: 2025-03-21f
Description: 'Rcpp' bindings for 'PLANC', a highly parallel and extensible NMF/NTF (Non-negative Matrix/Tensor Factorization) library. Wraps algorithms described in Kannan et. al (2018) <doi:10.1109/TKDE.2017.2767592> and Eswar et. al (2021) <doi:10.1145/3432185>. Implements algorithms described in Welch et al. (2019) <doi:10.1016/j.cell.2019.05.006>, Gao et al. (2021) <doi:10.1038/s41587-021-00867-x>, and Kriebel & Welch (2022) <doi:10.1038/s41467-022-28431-4>.
Encoding: UTF-8
Imports: methods, Rcpp, Matrix, hdf5r.Extra
Suggests: knitr, withr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
License: GPL (>= 2)
SystemRequirements: C++17, cmake >= 3.21.0, hdf5, git, v8, patch, gnumake, hwloc, GNU make
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-24 18:22:34 UTC; andrew
Author: Andrew Robbins [aut, cre] , Yichen Wang [aut], Joshua Welch [cph] , Ramakrishnan Kannan [cph] , UT-Batelle [cph]
Maintainer: Andrew Robbins <robbiand@umich.edu>
Repository: CRAN
Date/Publication: 2025-03-25 15:50:13 UTC

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New package prism with initial version 0.2.3
Package: prism
Title: Access Data from the Oregon State Prism Climate Project
Description: Allows users to access the Oregon State Prism climate data (<https://prism.nacse.org/>). Using the web service API data can easily downloaded in bulk and loaded into R for spatial analysis. Some user friendly visualizations are also provided.
URL: https://docs.ropensci.org/prism/, https://github.com/ropensci/prism
BugReports: https://github.com/ropensci/prism/issues
Version: 0.2.3
License: MIT + file LICENSE
Imports: ggplot2, raster, httr, dplyr, stringr, magrittr, readr, utils
VignetteBuilder: knitr
Suggests: covr, knitr, rmarkdown, testthat (>= 2.1.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-24 17:43:59 UTC; RAButler
Author: Hart Edmund [aut, ccp], Kendon Bell [aut], Alan Butler [ctb, cre]
Maintainer: Alan Butler <rabutler@usbr.gov>
Repository: CRAN
Date/Publication: 2025-03-25 15:50:05 UTC

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New package groupedHyperframe with initial version 0.1.0
Package: groupedHyperframe
Title: Grouped Hyper Data Frame: An Extension of Hyper Data Frame Object
Version: 0.1.0
Date: 2025-03-24
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Description: An S3 class 'groupedHyperframe' that inherits from hyper data frame. Batch processes on point-pattern hyper column. Aggregation of function-value-table hyper column(s) and numeric hyper column(s) over a nested grouping structure.
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
License: GPL-2
Depends: R (>= 4.4)
Language: en-US
Imports: cli, parallel, stats, nlme, matrixStats, pracma, spatstat.explore, spatstat.geom
Suggests: knitr, survival, spatstat.data, spatstat.univar, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-24 17:48:27 UTC; tingtingzhan
Author: Tingting Zhan [aut, cre] , Inna Chervoneva [aut]
Repository: CRAN
Date/Publication: 2025-03-25 15:50:09 UTC

More information about groupedHyperframe at CRAN
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New package PlotNormTest with initial version 1.0.1
Package: PlotNormTest
Title: Graphical Univariate/Multivariate Assessments for Normality Assumption
Version: 1.0.1
Maintainer: Huong Tran <quynhhuong5335@gmail.com>
Description: Graphical methods testing multivariate normality assumption. Methods including assessing score function, and moment generating functions,independent transformations and linear transformations. For more details see Tran (2024),"Contributions to Multivariate Data Science: Assessment and Identification of Multivariate Distributions and Supervised Learning for Groups of Objects." , PhD thesis, <https://our.oakland.edu/items/c8942577-2562-4d2f-8677-cb8ec0bf6234>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rdpack, ggplot2, stats, Matrix, MatrixExtra, MASS, rlang
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
SysDataCompression: xz
NeedsCompilation: no
Packaged: 2025-03-24 14:00:35 UTC; huongtran
Author: Huong Tran [aut, cre] , Ravindra Khattree [aut]
Repository: CRAN
Date/Publication: 2025-03-25 09:10:05 UTC

More information about PlotNormTest at CRAN
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New package ip2location.io with initial version 0.0.0-2
Package: ip2location.io
Title: Batch IP Data Retrieval and Storage Using 'IP2Location.io'
Version: 0.0.0-2
Description: A system for submitting multiple IP information queries to 'IP2Location.io'’s IP Geolocation API and storing the resulting data in a dataframe. You provide a vector of IP addresses and your 'IP2Location.io' API key. The package returns a dataframe with one row per IP address and a column for each available data field (data fields not included in your API plan will contain NAs). This is the second submission of the package to CRAN.
License: MIT + file LICENSE
Imports: dplyr, httr, jsonlite, tidyselect
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), mockery
NeedsCompilation: no
Packaged: 2025-03-24 14:29:07 UTC; georgeac
Author: Oriane Georgeac [aut, cre]
Maintainer: Oriane Georgeac <oriane.georgeac@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-25 09:10:02 UTC

More information about ip2location.io at CRAN
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New package GoMiner with initial version 1.0
Package: GoMiner
Version: 1.0
Date: 2025-03-16
Title: Automate the Mapping Between a List of Genes and Gene Ontology Categories
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
Imports: minimalistGODB, HGNChelper, stats, gplots, grDevices, utils
LazyData: true
LazyDataCompression: xz
Description: In gene-expression microarray studies, for example, one generally obtains a list of dozens or hundreds of genes that differ in expression between samples and then asks 'What does all of this mean biologically?' Alternatively, gene lists can be derived conceptually in addition to experimentally. For instance, one might want to analyze a group of genes known as housekeeping genes. The work of the Gene Ontology (GO) Consortium <geneontology.org> provides a way to address that question. GO organizes genes into hierarchical categories based on biological process, molecular function and subcellular localization. The role of 'GoMiner' is to automate the mapping between a list of genes and GO, and to provide a statistical summary of the results as well as a visualization.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-24 16:04:19 UTC; barryzeeberg
Repository: CRAN
Date/Publication: 2025-03-25 09:20:02 UTC

More information about GoMiner at CRAN
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New package gghourglass with initial version 0.0.1
Package: gghourglass
Title: Plot Records per Time of Day
Version: 0.0.1
Author: Pepijn de Vries [aut, cre] , Sander Lagerveld [dtc]
Description: Splits date and time of day components from continuous 'datetime' objects, then plots them using grammar of graphics ('ggplot2'). Plots can also be decorated with solar cycle information (e.g., sunset, sunrise, etc.). This is useful for data that are associated with the solar cycle.
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.4), ggplot2 (>= 3.4.4), lubridate (>= 1.9.3), rlang (>= 1.1.2), suncalc (>= 0.5.1)
Suggests: readr (>= 2.1.4), testthat (>= 3.0.0), usethis (>= 2.2.2), vdiffr
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://pepijn-devries.github.io/gghourglass/
NeedsCompilation: no
Packaged: 2025-03-24 14:00:08 UTC; vries171
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Repository: CRAN
Date/Publication: 2025-03-25 09:30:02 UTC

More information about gghourglass at CRAN
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New package dartR with initial version 2.9.9.5
Package: dartR
Title: Importing and Analysing 'SNP' and 'Silicodart' Data Generated by Genome-Wide Restriction Fragment Analysis
Version: 2.9.9.5
Date: 2025-03-24
Description: Functions are provided that facilitate the import and analysis of 'SNP' (single nucleotide polymorphism) and 'silicodart' (presence/absence) data. The main focus is on data generated by 'DarT' (Diversity Arrays Technology), however, data from other sequencing platforms can be used once 'SNP' or related fragment presence/absence data from any source is imported. Genetic datasets are stored in a derived 'genlight' format (package 'adegenet'), that allows for a very compact storage of data and metadata. Functions are available for importing and exporting of 'SNP' and 'silicodart' data, for reporting on and filtering on various criteria (e.g. 'CallRate', heterozygosity, reproducibility, maximum allele frequency). Additional functions are available for visualization (e.g. Principle Coordinate Analysis) and creating a spatial representation using maps. 'dartR' supports also the analysis of 3rd party software package such as 'newhybrid', 'structure', 'NeEstimator' and 'blast'. Since version 2 [...truncated...]
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 3.5), adegenet (>= 2.0.0), ggplot2, dplyr, dartR.data
Imports: ape,crayon,data.table,fields,foreach,gridExtra,MASS,methods,patchwork,plyr,PopGenReport,raster,reshape2,shiny,SNPRelate,sp (>= 1.6.1),StAMPP,stats,stringr,tidyr,utils, gsubfn, purrr
Suggests: boot, devtools, directlabels, dismo, doParallel, expm, gdistance, ggtern, gganimate, ggrepel, grid, gtable, ggthemes, gplots, HardyWeinberg, hierfstat, igraph, iterpc, knitr, label.switching, lattice, leaflet, leaflet.minicharts, markdown, mmod, networkD3, parallel, pegas, pheatmap, plotly, poppr, proxy, qvalue, RColorBrewer, Rcpp, rgl, rmarkdown, rrBLUP, scales, seqinr, shinyBS, shinyjs, shinythemes, shinyWidgets, SIBER, snpStats, stringi, terra, tibble, vcfR, zoo, viridis, vegan
License: GPL (>= 3)
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-25 00:35:23 UTC; s425824
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Diana Robledo-Ruiz [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Floriaan Devloo-Delva [ctb], Eric Archer [ctb]
URL: https://green-striped-gecko.github.io/dartR/, https://github.com/green-striped-gecko/dartR
BugReports: https://groups.google.com/g/dartr?pli=1
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>
Repository: CRAN
Date/Publication: 2025-03-25 09:50:02 UTC

More information about dartR at CRAN
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Mon, 24 Mar 2025

New package corella with initial version 0.1.4
Package: corella
Title: Prepare, Manipulate and Check Data to Comply with Darwin Core Standard
Version: 0.1.4
Description: Helps users standardise data to the Darwin Core Standard, a global data standard to store, document, and share biodiversity data like species occurrence records. The package provides tools to manipulate data to conform with, and check validity against, the Darwin Core Standard. Using 'corella' allows users to verify that their data can be used to build 'Darwin Core Archives' using the 'galaxias' package.
Depends: R (>= 4.3.0)
Imports: cli, dplyr, glue, hms, lubridate, purrr, rlang, sf, stringr, tibble, tidyr, uuid
Suggests: gt, knitr, nanoparquet, ozmaps, readr, rmarkdown, testthat (>= 3.0.0), withr
License: GPL-3
URL: https://corella.ala.org.au
BugReports: https://github.com/AtlasOfLivingAustralia/corella/issues
Maintainer: Dax Kellie <dax.kellie@csiro.au>
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-24 02:03:35 UTC; kel329
Author: Dax Kellie [aut, cre], Shandiya Balasubramanium [aut], Martin Westgate [aut]
Repository: CRAN
Date/Publication: 2025-03-24 15:10:06 UTC

More information about corella at CRAN
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New package quadkeyr with initial version 0.1.0
Package: quadkeyr
Title: Generate Raster Images from QuadKey-Identified Datasets
Version: 0.1.0
Description: A set of functions of increasing complexity allows users to (1) convert QuadKey-identified datasets, based on 'Microsoft's Bing Maps Tile System', into Simple Features data frames, (2) transform Simple Features data frames into rasters, and (3) process multiple 'Meta' ('Facebook') QuadKey-identified human mobility files directly into raster files. For more details, see D’Andrea et al. (2024) <doi:10.21105/joss.06500>.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/quadkeyr/, https://github.com/ropensci/quadkeyr
BugReports: https://github.com/ropensci/quadkeyr/issues
Encoding: UTF-8
Suggests: bslib (>= 0.6.1), DT (>= 0.31), ggplot2 (>= 3.4.4), knitr, leaflet (>= 2.2.1), magick (>= 2.8.5), rmarkdown, rnaturalearth (>= 1.0.0), shinytest2 (>= 0.3.2), testthat (>= 3.1.10), tidyr (>= 1.3.0), viridis (>= 0.6.4), withr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
LazyData: true
Imports: dplyr (>= 1.1.2), lubridate (>= 1.9.2), purrr (>= 1.0.1), readr (>= 2.1.4), rlang (>= 1.1.2), sf (>= 1.0.14), shiny (>= 1.7.4), stars (>= 0.6.2)
NeedsCompilation: no
Packaged: 2025-03-24 00:53:18 UTC; runner
Author: Florencia D'Andrea [aut, cre] , Pilar Fernandez [aut] , Maria Paula Caldas [rev] for rOpenSci, see https://github.com/ropensci/software-review/issues/619), Vincent van Hees [rev] for rOpenSci, see https://github.com/ropensci/software-review/issues/ [...truncated...]
Maintainer: Florencia D'Andrea <florencia.dandrea@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-24 15:00:02 UTC

More information about quadkeyr at CRAN
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New package jumps with initial version 1.0
Package: jumps
Title: Hodrick-Prescott Filter with Jumps
Version: 1.0
Date: 2025-03-20
Maintainer: Matteo Pelagatti <matteo.pelagatti@unimib.it>
Description: A set of functions to compute the Hodrick-Prescott (HP) filter with automatically selected jumps. The original HP filter extracts a smooth trend from a time series, and our version allows for a small number of automatically identified jumps. See Maranzano and Pelagatti (2024) <doi:10.2139/ssrn.4896170> for details.
License: GPL-3
Imports: Rcpp (>= 1.0.10), stats, nloptr
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, xts
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-03-23 21:43:25 UTC; pelagatti
Author: Matteo Pelagatti [aut, cre, cph] , Paolo Maranzano [aut, cph]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-03-24 15:00:06 UTC

More information about jumps at CRAN
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New package immunogenetr with initial version 0.1.0
Package: immunogenetr
Title: A Comprehensive Toolkit for Clinical HLA Informatics
Version: 0.1.0
Maintainer: Nicholas Brown <nicholas.brown@pennmedicine.upenn.edu>
Description: A comprehensive toolkit for clinical Human Leukocyte Antigen (HLA) informatics, built on 'tidyverse' <https://tidyverse.tidyverse.org/> principles and making use of genotype list string (GL string, Mack et al. (2023) <doi:10.1111/tan.15126>) for storing and computing HLA genotype data. Specific functionalities include: coercion of HLA data in tabular format to and from GL string; calculation of matching and mismatching in all directions, with multiple output formats; automatic formatting of HLA data for searching within a GL string; truncation of molecular HLA data to a specific number of fields; and reading HLA genotypes in HML files and extracting the GL string.
License: GPL (>= 3)
URL: https://github.com/k96nb01/immunogenetr_package
BugReports: https://github.com/k96nb01/immunogenetr_package/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, glue, magrittr, purrr, rlang, stringr, tibble, tidyr, tidyselect, xml2
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-22 16:30:03 UTC; drnic
Author: Nicholas Brown [cre, aut] , Busra Coskun [aut]
Repository: CRAN
Date/Publication: 2025-03-24 14:10:05 UTC

More information about immunogenetr at CRAN
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New package xpect with initial version 1.0
Package: xpect
Title: Probabilistic Time Series Forecasting with XGBoost and Conformal Inference
Version: 1.0
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Implements a probabilistic approach to time series forecasting combining XGBoost regression with conformal inference methods. The package provides functionality for generating predictive distributions, evaluating uncertainty, and optimizing hyperparameters using Bayesian, coarse-to-fine, or random search strategies.
License: GPL-3
Encoding: UTF-8
Imports: normalp (>= 0.7.2), glogis (>= 1.0-2), gld (>= 2.6.6), edfun (>= 0.2.0), purrr (>= 1.0.1), ald (>= 1.3.1), evd (>= 2.3-6.1), GeneralizedHyperbolic (>= 0.8-6), cubature (>= 2.1.0), furrr (>= 0.3.1), future (>= 1.33.0), xgboost (>= 1.7.5.1), rBayesianOptimization (>= 1.2.0), lubridate (>= 1.9.2), ggplot2 (>= 3.5.1), scales (>= 1.3.0)
URL: https://rpubs.com/giancarlo_vercellino/xpect
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-03-20 19:52:24 UTC; gianc
Author: Giancarlo Vercellino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-03-24 11:30:01 UTC

More information about xpect at CRAN
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New package snazzieR with initial version 0.1.0
Package: snazzieR
Title: Chic and Sleek Functions for Beautiful Statisticians
Version: 0.1.0
Maintainer: Aidan J. Wagner <JesusButForGayPeople@proton.me>
Description: Because your linear models deserve better than console output. A sleek color palette and kable styling to make your regression results look sharper than they are. See the package manual at <https://github.com/JesusButForGayPeople/snazzieR/releases/download/v0.1.0/snazzieR_0.1.0.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, knitr, kableExtra, stats
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-03-21 18:33:21 UTC; shared-psychosis
Author: Aidan J. Wagner [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-24 11:50:02 UTC

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New package SMAHP with initial version 0.0.5
Package: SMAHP
Title: Survival Mediation Analysis of High-Dimensional Proteogenomic Data
Version: 0.0.5
Description: SMAHP (pronounced as SOO-MAP) is a novel multi-omics framework for causal mediation analysis of high-dimensional proteogenomic data with survival outcomes. The full methodological details can be found in our recent preprint by Ahn S et al. (2025) <doi:10.48550/arXiv.2503.08606>.
License: GPL-3
Encoding: UTF-8
Imports: data.table, fdrtool, ncvreg, penAFT, survival, stats, glmnet
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Language: en-US
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-03-21 18:47:12 UTC; fuw01
Author: Seungjun Ahn [aut] , Weijia Fu [cre, aut] , Zhigang Li [ctb]
Maintainer: Weijia Fu <weijia.fu@mountsinai.org>
Repository: CRAN
Date/Publication: 2025-03-24 12:00:12 UTC

More information about SMAHP at CRAN
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New package shinyproxyLogs with initial version 0.1.0
Package: shinyproxyLogs
Title: Tools for Analyzing 'ShinyProxy' Containers Logs
URL: https://tsenegas.github.io/shinyproxyLogs/
BugReports: https://github.com/tsenegas/shinyproxyLogs/issues
Version: 0.1.0
Description: Provides functions to parse and analyze logs generated by 'ShinyProxy' containers. It extracts metadata from log file names, reads log contents, and computes summary statistics (such as the total number of lines and lines containing error messages), facilitating efficient monitoring and debugging of 'ShinyProxy' deployments.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, purrr, stringr, tibble
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-20 20:02:40 UTC; tsenegas
Author: Thibault Senegas [aut, cre]
Maintainer: Thibault Senegas <senegas.th@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-24 11:20:02 UTC

More information about shinyproxyLogs at CRAN
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New package rsahmi with initial version 0.0.2
Package: rsahmi
Title: Single-Cell Analysis of Host-Microbiome Interactions
Version: 0.0.2
Description: A computational resource designed to accurately detect microbial nucleic acids while filtering out contaminants and false-positive taxonomic assignments from standard transcriptomic sequencing of mammalian tissues. For more details, see Ghaddar (2023) <doi:10.1038/s43588-023-00507-1>. This implementation leverages the 'polars' package for fast and systematic microbial signal recovery and denoising from host tissue genomic sequencing.
License: MIT + file LICENSE
ByteCompile: true
Encoding: UTF-8
OS_type: unix
SystemRequirements: kraken2, seqkit
Imports: blit (>= 0.1.0), cli, rlang (>= 1.1.0), ShortRead, utils
Suggests: polars (>= 0.17.0)
Additional_repositories: https://community.r-multiverse.org
URL: https://github.com/Yunuuuu/rsahmi
BugReports: https://github.com/Yunuuuu/rsahmi/issues
NeedsCompilation: no
Packaged: 2025-03-21 18:48:11 UTC; yun
Author: Yun Peng [aut, cre]
Maintainer: Yun Peng <yunyunp96@163.com>
Repository: CRAN
Date/Publication: 2025-03-24 12:00:05 UTC

More information about rsahmi at CRAN
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New package redquack with initial version 0.1.1
Package: redquack
Title: Transfer 'REDCap' Data to 'DuckDB'
Version: 0.1.1
Description: Provides a single function to transfer 'REDCap' (Research Electronic Data Capture) data to a 'DuckDB' database. Processes data in chunks to handle large datasets while minimizing memory usage. Features include resuming incomplete transfers, converting column types, tracking progress, logging operations in the database.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: audio, beepr, cli, DBI, dplyr, duckdb, httr2, readr, utils
Suggests: arrow, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-03-22 03:27:31 UTC; dylanpieper
Author: Dylan Pieper [aut, cre]
Maintainer: Dylan Pieper <dylanpieper@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-24 12:00:08 UTC

More information about redquack at CRAN
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New package positron.tutorials with initial version 0.1.2
Package: positron.tutorials
Title: Tutorials for Learning 'Positron' and Related Tools
Version: 0.1.2
Description: Collection of tutorials for working with 'Positron'. Covers scripts, 'Quarto' documents, 'Git', 'GitHub', and 'Quarto' websites. Makes extensive use of the tools in the 'tutorial.helpers' package.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
BugReports: https://github.com/PPBDS/positron.tutorials/issues
URL: https://ppbds.github.io/positron.tutorials/, https://github.com/PPBDS/positron.tutorials
Imports: dplyr, mime, purrr, rvest, tibble
Suggests: gert, gitcreds, knitr, learnr, palmerpenguins, quarto, rsconnect, testthat (>= 3.0.0), tidyverse, tutorial.helpers, usethis
NeedsCompilation: no
Packaged: 2025-03-20 23:54:20 UTC; dkane
Author: David Kane [aut, cre, cph]
Maintainer: David Kane <dave.kane@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-24 11:40:02 UTC

More information about positron.tutorials at CRAN
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New package LJexm with initial version 1.0.4
Package: LJexm
Title: Extract, Convert, and Merge 'pdf' Files from 'zip' Files
Version: 1.0.4
Description: Extracts 'zip' files, converts 'Word' and 'Excel' documents to 'pdf' files using 'VBScript', and merges 'pdf' files into a single file. This package is only supported on 'Windows' due to 'VBScript' dependencies.
License: GPL (>= 3)
Encoding: UTF-8
Imports: fs, pdftools, rstudioapi, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-21 16:14:37 UTC; lijin
Author: Lijin Arakkandathil Thekkathil [aut, cre]
Maintainer: Lijin Arakkandathil Thekkathil <lijin5673@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-24 11:50:06 UTC

More information about LJexm at CRAN
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New package capybara with initial version 0.9.0
Package: capybara
Title: Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects
Version: 0.9.0
Imports: data.table, Formula, generics, ggplot2, kendallknight, MASS, stats
Suggests: broom, knitr, rmarkdown, testthat (>= 3.0.0), units
Depends: R(>= 3.5.0)
Description: Fast and user-friendly estimation of generalized linear models with multiple fixed effects and cluster the standard errors. The method to obtain the estimated fixed-effects coefficients is based on Stammann (2018) <doi:10.48550/arXiv.1707.01815> and Gaure (2013) <doi:10.1016/j.csda.2013.03.024>.
License: Apache License (>= 2)
BugReports: https://github.com/pachadotdev/capybara/issues
URL: https://pacha.dev/capybara/, https://github.com/pachadotdev/capybara
LazyData: true
Encoding: UTF-8
NeedsCompilation: yes
LinkingTo: cpp11, cpp11armadillo
VignetteBuilder: knitr
Packaged: 2025-03-20 18:38:17 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2025-03-24 11:20:05 UTC

More information about capybara at CRAN
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New package usdoj with initial version 1.1.1
Package: usdoj
Title: For Accessing U.S. Department of Justice (DOJ) Open Data
Version: 1.1.1
Maintainer: Steph Buongiorno <steph.buon@gmail.com>
Depends: R (>= 3.4.4)
Imports: anytime, dplyr, httr, jsonlite, stringr, tibble
URL: https://github.com/ropengov/usdoj
BugReports: https://github.com/ropengov/usdoj/issues
Description: Fetch data from the <https://www.justice.gov/developer/api-documentation/api_v1> API such as press releases, blog entries, and speeches. Optional parameters allow users to specify the number of results starting from the earliest or latest entries, and whether these results contain keywords. Data is cleaned for analysis and returned in a dataframe.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-23 15:54:22 UTC; steph
Author: Steph Buongiorno [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-24 09:40:02 UTC

More information about usdoj at CRAN
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Sun, 23 Mar 2025

New package tidysynth with initial version 0.2.1
Package: tidysynth
Title: A Tidy Implementation of the Synthetic Control Method
Version: 0.2.1
Description: A synthetic control offers a way of evaluating the effect of an intervention in comparative case studies. The package makes a number of improvements when implementing the method in R. These improvements allow users to inspect, visualize, and tune the synthetic control more easily. A key benefit of a tidy implementation is that the entire preparation process for building the synthetic control can be accomplished in a single pipe.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: magrittr, tibble, dplyr, ggplot2, tidyr, forcats, rlang, kernlab, rgenoud, optimx, stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-03-23 22:05:22 UTC; ed769
Author: Eric Dunford [aut, cre]
Maintainer: Eric Dunford <ed769@georgetown.edu>
Repository: CRAN
Date/Publication: 2025-03-24 00:50:02 UTC

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Sat, 22 Mar 2025

New package rpc with initial version 2.0.3
Package: rpc
Title: Ridge Partial Correlation
Version: 2.0.3
Date: 2025-03-20
Encoding: UTF-8
Maintainer: Somak Dutta <somakd@iastate.edu>
Description: Computes the ridge partial correlation coefficients in a high or ultra-high dimensional linear regression problem. An extended Bayesian information criterion is also implemented for variable selection. Users provide the matrix of covariates as a usual dense matrix or a sparse matrix stored in a compressed sparse column format. Detail of the method is given in the manual.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.11), Matrix
Suggests: MatrixExtra
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2025-03-20 15:42:25 UTC; somakd
Author: Somak Dutta [aut, cre, cph], An Nguyen [aut, ctb], Run Wang [ctb], Vivekananda Roy [ctb]
Repository: CRAN
Date/Publication: 2025-03-22 12:10:02 UTC

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New package SONO with initial version 1.1
Package: SONO
Title: Scores of Nominal Outlyingness (SONO)
Version: 1.1
Description: Computes scores of outlyingness for data sets consisting of nominal variables and includes various evaluation metrics for assessing performance of outlier identification algorithms producing scores of outlyingness. The scores of nominal outlyingness are computed based on the framework of Costa and Papatsouma (2025) <doi:10.48550/arXiv.2408.07463>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table (>= 1.14.0), DescTools (>= 0.99.0), ggplot2 (>= 3.3.5), Rdpack (>= 2.0), rje (>= 0.9)
NeedsCompilation: no
Packaged: 2025-03-20 12:50:26 UTC; ec1917
Author: Efthymios Costa [aut, cre]
Maintainer: Efthymios Costa <efthymios.costa17@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2025-03-22 11:50:07 UTC

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New package simpr.interaction with initial version 0.1.0
Package: simpr.interaction
Title: Calculating Parameters for Simulation-Based Regression Interaction Power Analysis
Version: 0.1.0
Description: Provides functionality for analytically calculating parameters (via the 'InteractionPoweR' package) useful for simulation of moderated multiple regression, based on the correlations among the predictors and outcome and the reliability of predictors.
Imports: InteractionPoweR
License: GPL-2
Encoding: UTF-8
URL: https://github.com/statisfactions/simpr.interaction/
BugReports: https://github.com/statisfactions/simpr.interaction/issues/
NeedsCompilation: no
Packaged: 2025-03-20 08:59:14 UTC; EthanBrown
Author: Ethan C. Brown [aut, cre]
Maintainer: Ethan C. Brown <ethancbrown@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-22 11:30:02 UTC

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New package SHIP with initial version 2.0.3
Package: SHIP
Title: Shrinkage Covariance Incorporating Prior Knowledge
Version: 2.0.3
Description: Implements estimation methods for shrinkage covariance matrices using user-specified covariance targets. The covariance target is a structured matrix towards which the unbiased sample covariance is shrunk, optionally incorporating prior knowledge. Shrinkage intensity is computed analytically. The method is described and applied to microarray gene expression data in Jelizarow et al. (2010) <doi:10.1093/bioinformatics/btq323>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats
URL: https://github.com/vguillemot/SHIP
BugReports: https://github.com/vguillemot/SHIP/issues
NeedsCompilation: no
Packaged: 2025-03-20 12:53:13 UTC; vguillem
Author: Vincent Guillemot [aut, cre], Monika Jelizarow [aut]
Maintainer: Vincent Guillemot <vincent.guillemot@pasteur.fr>
Repository: CRAN
Date/Publication: 2025-03-22 11:50:11 UTC

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New package EstimateBreed with initial version 1.0.0
Package: EstimateBreed
Title: Estimation of Environmental Variables and Genetic Parameters
Version: 1.0.0
Date: 2025-03-16
Maintainer: Willyan Junior Adorian Bandeira <bandeira.wjab@gmail.com>
Description: Performs analyzes and estimates of environmental covariates and genetic parameters related to selection strategies and development of superior genotypes. It has two main functionalities, the first being about prediction models of covariates and environmental processes, while the second deals with the estimation of genetic parameters and selection strategies. Designed for researchers and professionals in genetics and environmental sciences, the package combines statistical methods for modeling and data analysis. This includes the plastochron estimate proposed by Porta et al. (2024) <doi:10.1590/1807-1929/agriambi.v28n10e278299>, Stress indices for genotype selection referenced by Ghazvini et al. (2024) <doi:10.1007/s10343-024-00981-1>, the Environmental Stress Index described by Tazzo et al. (2024) <https://revistas.ufg.br/vet/article/view/77035>, industrial quality indices of wheat genotypes (Szareski et al., 2019), <doi:10.4238/gmr18223>, Ear Indexes estimation [...truncated...]
License: GPL (>= 3)
URL: https://github.com/willyanjnr/EstimateBreed
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, hrbrthemes, broom, purrr, ggrepel, grid, httr, jsonlite, lubridate, nasapower, tidyr, viridis, cowplot, sommer, lme4, minque, utils, car, lmtest
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), roxygen2, DT
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyLoad: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-20 12:40:34 UTC; willy
Author: Willyan Junior Adorian Bandeira [aut, cre] , Ivan Ricardo Carvalho [aut, ctb] , Murilo Vieira Loro [aut, ctb] , Leonardo Cesar Pradebon [aut, ctb] , Jose Antonio Gonzalez da Silva [aut, ctb]
Repository: CRAN
Date/Publication: 2025-03-22 11:50:14 UTC

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New package BayesPIM with initial version 1.0.0
Package: BayesPIM
Title: Bayesian Prevalence-Incidence Mixture Model
Version: 1.0.0
Description: Models time-to-event data from interval-censored screening studies. It accounts for latent prevalence at baseline and incorporates misclassification due to imperfect test sensitivity. For usage details, see the package vignette ("BayesPIM_intro"). Further details can be found in T. Klausch, B. I. Lissenberg-Witte, and V. M. Coupe (2024), "A Bayesian prevalence-incidence mixture model for screening outcomes with misclassification", <doi:10.48550/arXiv.2412.16065>.
License: MIT + file LICENSE
URL: https://github.com/thomasklausch2/bayespim
BugReports: https://github.com/thomasklausch2/BayesPIM/issues
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, mvtnorm, MASS, ggamma, doParallel, foreach, parallel, actuar
Depends: R (>= 3.5.0), coda
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-20 09:17:37 UTC; thoma
Author: Thomas Klausch [aut, cre]
Maintainer: Thomas Klausch <t.klausch@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2025-03-22 11:40:02 UTC

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Fri, 21 Mar 2025

New package PLNmodels with initial version 1.2.2
Package: PLNmodels
Title: Poisson Lognormal Models
Version: 1.2.2
Description: The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, 2021 <doi:10.3389/fevo.2021.588292>) can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data, discriminant analysis, model-based clustering and network inference. Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
URL: https://pln-team.github.io/PLNmodels/
BugReports: https://github.com/pln-team/PLNmodels/issues
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: cli, corrplot, dplyr, future, future.apply, ggplot2, glassoFast, grDevices, grid, gridExtra, igraph, magrittr, MASS, Matrix, methods, nloptr, parallel, pscl, purrr, R6, Rcpp, rlang, scales, stats, tidyr, torch
Suggests: factoextra, knitr, rmarkdown, spelling, testthat
LinkingTo: nloptr, Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
Packaged: 2025-03-21 11:05:39 UTC; jchiquet
Author: Julien Chiquet [aut, cre] , Mahendra Mariadassou [aut] , Stephane Robin [aut], Francois Gindraud [aut], Julie Aubert [ctb], Bastien Batardiere [ctb], Giovanni Poggiato [ctb], Cole Trapnell [ctb], Maddy Duran [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>
Repository: CRAN
Date/Publication: 2025-03-21 17:40:06 UTC

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New package mregions2 with initial version 1.1.2
Package: mregions2
Title: Access Data from Marine Regions: Gazetteer & Data Products
Version: 1.1.2
Description: Explore and retrieve marine spatial data from the Marine Regions Gazetteer <https://marineregions.org/gazetteer.php?p=webservices> and the Marine Regions Data Products <https://marineregions.org/webservices.php>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: checkmate, glue, httr2, magrittr, sf, utils, rdflib, ISOcodes, memoise, cli, dplyr, xml2, wrapr, methods, curl, digest
URL: https://github.com/ropensci/mregions2, https://docs.ropensci.org/mregions2/
BugReports: https://github.com/ropensci/mregions2/issues
Suggests: ows4R (>= 0.3), httptest2, jsonlite, knitr, leaflet, leaflet.extras2, mapview, rmarkdown, testthat, wk, purrr, withr
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-03-21 12:34:01 UTC; salvadorf@vliz.be
Author: Salvador Jesus Fernandez Bejarano [aut, cre], Lotte Pohl [aut], Julia Gustavsen [rev], Muralidhar M.A. [rev], Sheila M. Saia [rev]
Maintainer: Salvador Jesus Fernandez Bejarano <salvador.fernandez@vliz.be>
Repository: CRAN
Date/Publication: 2025-03-21 17:40:02 UTC

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New package trps with initial version 0.1.0
Package: trps
Title: Bayesian Trophic Position Models using 'stan'
Version: 0.1.0
Description: Bayesian trophic position models using 'stan' by leveraging 'brms' for stable isotope data. Trophic position models are derived by using equations from Post (2002) <doi:10.1890/0012-9658(2002)083[0703:USITET]2.0.CO;2>, Vander Zanden and Vadeboncoeur (2002) <doi:10.1890/0012-9658(2002)083[2152:FAIOBA]2.0.CO;2>, and Heuvel et al. (2024) <doi:10.1139/cjfas-2024-0028>.
License: CC0
Encoding: UTF-8
LazyData: true
Imports: brms, cli, dplyr, lifecycle
Suggests: bayesplot, ggdist, ggplot2, grid, knitr, purrr, rmarkdown, testthat (>= 3.0.0), tidybayes, tidyr, viridis
Depends: R (>= 4.1.0)
URL: https://benjaminhlina.github.io/trps/, https://github.com/benjaminhlina/trps
BugReports: https://github.com/benjaminhlina/trps/issues
VignetteBuilder: knitr
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-03-19 17:24:31 UTC; benhlina
Author: Benjamin L. Hlina [aut, cre]
Maintainer: Benjamin L. Hlina <benjamin.hlina@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-21 16:00:02 UTC

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New package robustSFA with initial version 0.2.0
Package: robustSFA
Title: Robust Estimation of Stochastic Frontier Models with MDPDE
Version: 0.2.0
Maintainer: Junmo Song <junmo.song@gmail.com>
Description: This provides a robust estimator for stochastic frontier models, employing the Minimum Density Power Divergence Estimator (MDPDE) for enhanced robustness against outliers. Additionally, it includes a function to recommend the optimal tuning parameter, alpha, which controls the robustness of the MDPDE. The methods implemented in this package are based on Song et al. (2017) <doi:10.1016/j.csda.2016.08.005>.
License: GPL-3
Encoding: UTF-8
Imports: stats, truncnorm, Rcpp,frontier
NeedsCompilation: yes
LinkingTo: Rcpp, BH
Packaged: 2025-03-19 06:05:25 UTC; jsong
Author: Junmo Song [aut, cre], Dong-hyun Oh [aut]
Repository: CRAN
Date/Publication: 2025-03-21 15:50:02 UTC

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New package mrgdp with initial version 0.3.2
Package: mrgdp
Title: Mexican Regional Gross Domestic Product
Version: 0.3.2
Maintainer: Marco Antonio Perez-Mendez <mperez.mendez@izt.uam.mx>
Description: Download Mexican economic census for several years (2004, 2009, 2014 and 2019) and all federal entities. Filter the census data table by municipal data and build a data.frame for all federal entities and several years.
License: GPL-2
Encoding: UTF-8
Imports: dplyr
Suggests: knitr, rmarkdown, vroom
VignetteBuilder: knitr
URL: <https://github.com/MarcoAPerezM/mrgdp>, https://github.com/MarcoAPerezM/mrgdp
BugReports: https://github.com/MarcoAPerezM/mrgdp/issues
NeedsCompilation: no
Packaged: 2025-03-19 02:09:20 UTC; marcoantonio
Author: Marco Antonio Perez-Mendez [aut, cre] , Jocabed Sanchez Martinez [aut], Hortensia Moreno-Macias [aut] , Laboratorio de Desigualadad Socioeconomica Regional DeSERLab [cph]
Repository: CRAN
Date/Publication: 2025-03-21 15:50:05 UTC

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New package mooplot with initial version 0.1.0
Package: mooplot
Title: Graphical Visualizations for Multi-Objective Optimization
Version: 0.1.0
Description: Visualization of multi-dimensional data arising in multi-objective optimization, including plots of the empirical attainment function (EAF), M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>, and symmetric Vorob'ev expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
Depends: R (>= 4.0)
Imports: Rdpack, collapse (>= 2.0.8), grDevices, graphics, matrixStats, moocore
Suggests: extrafont, viridisLite, spelling, testthat (>= 3.0.0), withr
License: LGPL (>= 2)
BugReports: https://github.com/multi-objective/mooplot/issues/
URL: https://multi-objective.github.io/mooplot/r/, https://github.com/multi-objective/mooplot/
LazyLoad: true
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2025-03-19 08:50:09 UTC; manu
Author: Manuel Lopez-Ibanez [aut, cre] , Carlos Fonseca [ctb], Luis Paquete [ctb], Mickael Binois [ctb]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2025-03-21 15:50:08 UTC

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New package MariNET with initial version 1.0.0
Package: MariNET
Title: Build Network Based on Linear Mixed Models from EHRs
Version: 1.0.0
Description: Analyzing longitudinal clinical data from Electronic Health Records (EHRs) using linear mixed models (LMM) and visualizing the results as networks. It includes functions for fitting LMM, normalizing adjacency matrices, and comparing networks. The package is designed for researchers in clinical and biomedical fields who need to model longitudinal data and explore relationships between variables For more details see Bates et al. (2015) <doi:10.18637/jss.v067.i01>.
License: GPL-3
Imports: dplyr, lme4, qgraph
Encoding: UTF-8
Suggests: knitr, rmarkdown, BiocStyle
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-19 15:26:54 UTC; marina
Author: Vargas-Fernandez Marina [aut, cre], Martorell-Marugan Jordi [aut], Carmona-Saez Pedro [aut]
Maintainer: Vargas-Fernandez Marina <marina.vargas@genyo.es>
Repository: CRAN
Date/Publication: 2025-03-21 16:00:06 UTC

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Thu, 20 Mar 2025

New package MiscMetabar with initial version 0.14.2
Package: MiscMetabar
Title: Miscellaneous Functions for Metabarcoding Analysis
Version: 0.14.2
Description: Facilitate the description, transformation, exploration, and reproducibility of metabarcoding analyses. 'MiscMetabar' is mainly built on top of the 'phyloseq', 'dada2' and 'targets' R packages. It helps to build reproducible and robust bioinformatics pipelines in R. 'MiscMetabar' makes ecological analysis of alpha and beta-diversity easier, more reproducible and more powerful by integrating a large number of tools. Important features are described in Taudière A. (2023) <doi:10.21105/joss.06038>.
License: AGPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0), phyloseq, ggplot2 (>= 3.5.0), dada2, dplyr, purrr
Suggests: adespatial, ANCOMBC, BiocManager, Biostrings, circlize, ComplexUpset, DECIPHER, DESeq2, devtools, DT, edgeR, formattable, ggalluvial, ggfittext, gghalves, ggh4x, ggstatsplot, ggridges, ggVennDiagram, glmulti, gtsummary, grDevices, grid, gridExtra, here, httr, iNEXT, indicspecies, IRanges, jsonlite, knitr, magrittr, methods, mia, mixtools, multcompView, networkD3, pak, patchwork, pbapply, permute, phangorn, phyloseqGraphTest, pkgnet, plotly, plyr, reshape2, rmarkdown, rotl, Rtsne, scales, seqinr, SRS, stringr, SummarizedExperiment, testthat (>= 3.0.0), tibble, tidyr, treemapify, umap, uwot, vegan, venneuler, vctrs, viridis, withr, spelling
URL: https://github.com/adrientaudiere/MiscMetabar, https://adrientaudiere.github.io/MiscMetabar/
BugReports: https://github.com/adrientaudiere/MiscMetabar/issues
Imports: ape, lifecycle, rlang, stats
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-20 13:49:05 UTC; adrien
Author: Adrien Taudiere [aut, cre, cph]
Maintainer: Adrien Taudiere <adrien.taudiere@zaclys.net>
Repository: CRAN
Date/Publication: 2025-03-20 15:20:02 UTC

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New package LJmp3converter with initial version 1.0.5
Package: LJmp3converter
Title: Convert Video Files to MP3 Format using 'FFmpeg'
Version: 1.0.5
Description: Converts video files to 'MP3' using 'FFmpeg', which is dynamically downloaded to avoid bundling any third-party binaries. Users must ensure compliance with the license terms of 'FFmpeg' when using the package. See <https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-master-latest-win64-gpl.zip> for details.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: fs, tools, utils, rstudioapi, httr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-03-18 17:38:40 UTC; lijin
Author: Lijin Arakkandathil Thekkathil [aut, cre]
Maintainer: Lijin Arakkandathil Thekkathil <lijin5673@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-20 09:20:08 UTC

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New package kanova with initial version 0.3-12
Package: kanova
Version: 0.3-12
Date: 2025-03-19
Title: Pseudo Anova for K-Functions
Author: Rolf Turner [aut, cre]
Maintainer: Rolf Turner <rolfturner@posteo.net>
Description: One-way and two-way analysis of variance for replicated point patterns, grouped by one or two classification factors, on the basis of the corresponding K-functions.
Imports: spatstat.geom, spatstat.explore, spatstat.random
Suggests: R.rsp, Devore7
VignetteBuilder: R.rsp
LazyData: true
Depends: R (>= 3.2.2)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-03-18 22:04:12 UTC; rolf
Repository: CRAN
Date/Publication: 2025-03-20 09:40:02 UTC

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New package firebase.auth.rest with initial version 1.0.0
Package: firebase.auth.rest
Title: R Wrapper for 'Firebase Authentication REST API'
Version: 1.0.0
Description: A convenient and user-friendly interface to interact with the 'Firebase Authentication REST API': <https://firebase.google.com/docs/reference/rest/auth>. It enables R developers to integrate 'Firebase Authentication' services seamlessly into their projects, allowing for user authentication, account management, and other authentication-related tasks.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/kennedymwavu/firebase.auth.rest
BugReports: https://github.com/kennedymwavu/firebase.auth.rest/issues
Imports: httr2 (>= 0.2.3)
NeedsCompilation: no
Packaged: 2025-03-18 18:14:34 UTC; mwavu
Author: Kennedy Mwavu [aut, cre, cph]
Maintainer: Kennedy Mwavu <mwavukennedy@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-20 09:20:02 UTC

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New package fibos with initial version 1.2.3
Package: fibos
Title: Occlusion Surface Using the Occluded Surface and Fibonacci Occluded Surface
Version: 1.2.3
Maintainer: Herson Soares <hersonhebert@hotmail.com>
Description: The Occluded Surface (OS) algorithm is a widely used approach for analyzing atomic packing in biomolecules as described by Pattabiraman N, Ward KB, Fleming PJ (1995) <doi:10.1002/jmr.300080603>. Here, we introduce 'fibos', an 'R' and 'Python' package that extends the 'OS''' methodology, as presented in Soares HHM, Romanelli JPR, Fleming PJ, da Silveira CH (2024) <doi:10.1101/2024.11.01.621530>.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
Imports: fs, dplyr, readr, stringr, tidyr, reticulate, glue
NeedsCompilation: yes
Packaged: 2025-03-19 01:10:35 UTC; hersonhebert
Author: Herson Soares [cre, aut], Carlos Silveira [aut], Joao Romanelli [aut], Patrick Fleming [aut], Posit Software, PBC [cph, fnd]
Repository: CRAN
Date/Publication: 2025-03-20 09:50:02 UTC

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New package corrRF with initial version 1.1.0
Package: corrRF
Title: Clustered Random Forests for Optimal Prediction and Inference of Clustered Data
Version: 1.1.0
Maintainer: Elliot H. Young <ey244@cam.ac.uk>
Description: A clustered random forest algorithm for fitting random forests for data of independent clusters, that exhibit within cluster dependence. Details of the method can be found in Young and Buehlmann (2025) <doi:10.48550/arXiv.2503.12634>.
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, rpart
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: yes
Packaged: 2025-03-18 17:40:09 UTC; elliotyoung
Author: Elliot H. Young [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-20 09:20:06 UTC

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Wed, 19 Mar 2025

New package cpmBigData with initial version 0.0.2
Package: cpmBigData
Title: Fitting Semiparametric Cumulative Probability Models for Big Data
Version: 0.0.2
Description: A big data version for fitting cumulative probability models using the orm() function from the 'rms' package. See Liu et al. (2017) <DOI:10.1002/sim.7433> for details.
Depends: R (>= 4.0.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: rms (>= 7.0.0),Hmisc (>= 5.2.2),doParallel (>= 1.0.11),parallel (>= 3.5.2),foreach (>= 1.2.0),iterators (>= 1.0.0),benchmarkme (>= 1.0.4)
NeedsCompilation: no
Packaged: 2025-02-28 21:49:04 UTC; lic3
Author: Chun Li [cre, aut], Guo Chen [aut]
Maintainer: Chun Li <cli77199@usc.edu>
Repository: CRAN
Date/Publication: 2025-03-20 01:00:12 UTC

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New package tndata with initial version 0.1.0
Package: tndata
Title: Fetch Datasets from the Official Tunisian Data Catalog
Version: 0.1.0
Description: Simplifies access to Tunisian government open data from <https://data.gov.tn/fr/>. Queries datasets by theme, author, or keywords, retrieves metadata, and gets structured results ready for analysis; all through the official 'CKAN' API.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: dplyr, fs, glue, httr, httr2, jsonlite, logger, lubridate, purrr, stringr
Depends: R (>= 4.1.0)
URL: https://github.com/aymennasri/tndata, http://aymennasri.me/tndata/
BugReports: https://github.com/aymennasri/tndata/issues
NeedsCompilation: no
Packaged: 2025-03-18 13:02:55 UTC; aymen
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>
Repository: CRAN
Date/Publication: 2025-03-19 13:20:02 UTC

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New package kernopt with initial version 1.0.0
Package: kernopt
Title: Estimating Count Data Distributions with Discrete Optimal Symmetric Kernel
Version: 1.0.0
Maintainer: Thomas Fillon <thomas.fillon@univ-ubs.fr>
Description: Implementation of Discrete Symmetric Optimal Kernel for estimating count data distributions, as described by T. Senga Kiessé and G. Durrieu (2024) <doi:10.1016/j.spl.2024.110078>.The nonparametric estimator using the discrete symmetric optimal kernel was illustrated on simulated data sets and a real-word data set included in the package, in comparison with two other discrete symmetric kernels.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
URL: https://thomasfillon.github.io/kernopt/, https://github.com/thomasfillon/kernopt
BugReports: https://github.com/thomasfillon/kernopt/issues
NeedsCompilation: no
Packaged: 2025-03-18 14:11:14 UTC; rstudio
Author: Tristan Senga Kiesse [aut] , Gilles Durrieu [aut] , Thomas Fillon [aut, cre] , INRAE, Institut Agro, CNRS - UMR SAS [cph], Universite de Bretagne Sud, CNRS - UMR 6205 LMBA [cph]
Repository: CRAN
Date/Publication: 2025-03-19 13:20:05 UTC

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New package globpso with initial version 1.3.0
Package: globpso
Title: Swarm Intelligence Optimization
Version: 1.3.0
Date: 2025-03-08
Author: Ping-Yang Chen [aut, cre], Russell Eberhart [ctb], Kennedy Kennedy [ctb], Jun Sun [ctb], Bin Feng [ctb], Wenbo Xu [ctb], Mohammad Reza Bonyadi [ctb], Zbigniew Michalewicz [ctb], Ran Cheng [ctb], Yaochu Jin [ctb], Milan Stehlik [ctb], Weng Kee Wong [c [...truncated...]
Maintainer: Ping-Yang Chen <pychen.ping@gmail.com>
Description: A fast and flexible general-purpose implementation of Particle Swarm Optimization (PSO) and Differential Evolution (DE) for solving global minimization problems is provided. It is designed to handle complex optimization tasks with nonlinear, non-differentiable, and multi-modal objective functions defined by users. There are five types of PSO variants: Particle Swarm Optimization (PSO, Eberhart & Kennedy, 1995) <doi:10.1109/MHS.1995.494215>, Quantum-behaved particle Swarm Optimization (QPSO, Sun et al., 2004) <doi:10.1109/CEC.2004.1330875>, Locally convergent rotationally invariant particle swarm optimization (LcRiPSO, Bonyadi & Michalewicz, 2014) <doi:10.1007/s11721-014-0095-1>, Competitive Swarm Optimizer (CSO, Cheng & Jin, 2015) <doi:10.1109/TCYB.2014.2322602> and Double exponential particle swarm optimization (DExPSO, Stehlik et al., 2024) <doi:10.1016/j.asoc.2024.111913>. For the DE algorithm, six types in Storn, R. & Price, K. (1997) & [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: Rcpp (>= 1.0.12), RcppArmadillo (>= 0.12.6.6.1), methods, utils
LinkingTo: Rcpp, RcppArmadillo,
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2025-03-18 07:42:56 UTC; User
Repository: CRAN
Date/Publication: 2025-03-19 13:10:02 UTC

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New package CohortPathways with initial version 0.0.1
Package: CohortPathways
Title: Create Pathways from Target to Event Cohorts
Version: 0.0.1
Date: 2025-03-18
Maintainer: Gowtham Rao <rao@ohdsi.org>
Description: Software tool designed to compute the temporal relationship defined as pathways between any two instantiated cohorts. The cohorts are input as Target and event cohorts.
Depends: DatabaseConnector (>= 5.0.0), R (>= 4.1.0)
Imports: checkmate, dplyr, lifecycle, rlang, SqlRender, tidyr
Suggests: remotes, testthat, withr
License: Apache License
Encoding: UTF-8
Language: en-US
URL: https://github.com/OHDSI/CohortPathways
BugReports: https://github.com/OHDSI/CohortPathways/issues
NeedsCompilation: no
Packaged: 2025-03-18 15:18:14 UTC; gowth
Author: Gowtham Rao [aut, cre], Chris Knoll [aut], Observational Health Data Science and Informatics [cph]
Repository: CRAN
Date/Publication: 2025-03-19 13:30:02 UTC

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New package CANE with initial version 0.1.0
Package: CANE
Title: Comprehensive Groups of Experiments Analysis for Numerous Environments
Version: 0.1.0
Maintainer: Vinayaka <vinayaka.b3vs@gmail.com>
Description: In many cases, experiments must be repeated across multiple seasons or locations to ensure applicability of findings. A single experiment conducted in one location and season may yield limited conclusions, as results can vary under different environmental conditions. In agricultural research, treatment × location and treatment × season interactions play a crucial role. Analyzing a series of experiments across diverse conditions allows for more generalized and reliable recommendations. The 'CANE' package facilitates the pooled analysis of experiments conducted over multiple years, seasons, or locations. It is designed to assess treatment interactions with environmental factors (such as location and season) using various experimental designs. The package supports pooled analysis of variance (ANOVA) for the following designs: (1) 'PooledCRD()': completely randomized design; (2) 'PooledRBD()': randomized block design; (3) 'PooledLSD()': Latin square design; (4) 'PooledSPD()': split plot de [...truncated...]
Imports: agricolae, dplyr, emmeans, stats
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-03-18 14:47:42 UTC; DELL
Author: Vinayaka [aut, cre] , T. Lakshmi Pathy [aut, ctb] , K. Gopalareddy [aut, ctb] , Shweta Kumari [aut, ctb] , P. Murali [aut, ctb] , P. Govindaraj [aut, ctb], P. Rama Chandra Prasad [aut, ctb] , L.N. Vinaykumar [aut, ctb]
Repository: CRAN
Date/Publication: 2025-03-19 13:30:05 UTC

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New package Waypoint with initial version 1.1.0
Package: Waypoint
Title: Convert, Validate, Format and Print Geographic Coordinates and Waypoints
Version: 1.1.0
Date: 2025-03-17
Description: Convert, validate, format and elegantly print geographic coordinates and waypoints (paired latitude and longitude values) in decimal degrees, degrees and minutes, and degrees, minutes and seconds using high performance C++ code to enable rapid conversion and formatting of large coordinate and waypoint datasets.
License: MIT + file LICENSE
Imports: methods, Rcpp (>= 1.0.13)
LinkingTo: Rcpp
Encoding: UTF-8
URL: https://mark-eis.github.io/Waypoint/
NeedsCompilation: yes
Packaged: 2025-03-17 22:54:08 UTC; runner
Author: Mark Eisler [aut, cre, cph]
Maintainer: Mark Eisler <mark.eisler@bristol.ac.uk>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-03-19 13:00:01 UTC

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New package MultiNMix with initial version 0.1.0
Package: MultiNMix
Title: Multi-Species N-Mixture (MNM) Models with 'nimble'
Version: 0.1.0
Description: Simulating data and fitting multi-species N-mixture models using 'nimble'. Includes features for handling zero-inflation and temporal correlation, Bayesian inference, model diagnostics, parameter estimation, and predictive checks. Designed for ecological studies with zero-altered or time-series data. Mimnagh, N., Parnell, A., Prado, E., & Moral, R. A. (2022) <doi:10.1007/s10651-022-00542-7>. Royle, J. A. (2004) <doi:10.1111/j.0006-341X.2004.00142.x>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: clusterGeneration, mvtnorm, extraDistr, rstan, stats, abind, methods, coda
Depends: nimble, R (>= 3.5)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
URL: https://github.com/niamhmimnagh/MultiNMix
BugReports: https://github.com/niamhmimnagh/MultiNMix/issues
NeedsCompilation: no
Packaged: 2025-03-17 17:21:20 UTC; niamh
Author: Niamh Mimnagh [aut, cre], Rafael de Andrade Moral [aut]
Maintainer: Niamh Mimnagh <niamhmimnagh@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-19 12:50:02 UTC

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New package CohortSurvival with initial version 1.0.0
Package: CohortSurvival
Title: Estimate Survival from Common Data Model Cohorts
Version: 1.0.0
Description: Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: CDMConnector (>= 2.0.0), omopgenerics (>= 1.1.0), checkmate, cli, clock, DBI, dplyr, magrittr, broom, PatientProfiles (>= 1.3.1), rlang (>= 0.4.11), survival (>= 3.7.0), stringr, tibble, tidyr, purrr
Suggests: testthat (>= 3.0.0), CodelistGenerator, roxygen2, knitr, tictoc, rmarkdown, ggplot2, patchwork, cmprsk, duckdb, gt, flextable, scales, visOmopResults (>= 1.0.0)
VignetteBuilder: knitr
URL: https://darwin-eu-dev.github.io/CohortSurvival/
NeedsCompilation: no
Packaged: 2025-03-17 15:18:40 UTC; lopezk
Author: Kim Lopez-Gueell [aut, cre] , Edward Burn [aut] , Marti Catala [aut] , Xintong Li [aut] , Danielle Newby [aut] , Nuria Mercade-Besora [aut]
Maintainer: Kim Lopez-Gueell <kim.lopez@spc.ox.ac.uk>
Repository: CRAN
Date/Publication: 2025-03-19 12:50:06 UTC

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New package autodb with initial version 2.3.1
Package: autodb
Title: Automatic Database Normalisation for Data Frames
Version: 2.3.1
Description: Automatic normalisation of a data frame to third normal form, with the intention of easing the process of data cleaning. (Usage to design your actual database for you is not advised.) Originally inspired by the 'AutoNormalize' library for 'Python' by 'Alteryx' (<https://github.com/alteryx/autonormalize>), with various changes and improvements. Automatic discovery of functional or approximate dependencies, normalisation based on those, and plotting of the resulting "database" via 'Graphviz', with options to exclude some attributes at discovery time, or remove discovered dependencies at normalisation time.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: rlang
Suggests: spelling, DiagrammeR (>= 1.0.7), testthat (>= 3.1.4), R.utils (>= 2.11.0), hedgehog (>= 0.1), tibble(>= 3.2.1), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
URL: https://charnelmouse.github.io/autodb/, https://github.com/CharnelMouse/autodb
BugReports: https://github.com/CharnelMouse/autodb/issues
NeedsCompilation: no
Packaged: 2025-03-17 14:49:55 UTC; Mark
Author: Mark Webster [aut, cre]
Maintainer: Mark Webster <markwebster204@yahoo.co.uk>
Repository: CRAN
Date/Publication: 2025-03-19 12:40:02 UTC

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Tue, 18 Mar 2025

New package DataSimilarity with initial version 0.1.1
Package: DataSimilarity
Title: Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing
Version: 0.1.1
Date: 2025-03-18
Depends: R (>= 3.5.0)
Imports: boot, stats
Suggests: ade4, approxOT, Ball, caret, clue, cramer, crossmatch, dbscan, densratio, DWDLargeR, e1071, Ecume, energy, expm, FNN, gTests, gTestsMulti, HDLSSkST, hypoRF, kernlab, kerTests, KMD, knitr, LPKsample, Matrix, mvtnorm, nbpMatching, pROC, purrr, randtoolbox, rlemon, rpart, rpart.plot, testthat, RSNNS
Description: A collection of methods for quantifying the similarity of two or more datasets, many of which can be used for two- or k-sample testing. It provides newly implemented methods as well as wrapper functions for existing methods that enable calling many different methods in a unified framework. The methods were selected from the review and comparison of Stolte et al. (2024) <doi:10.1214/24-SS149>.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2025-03-18 16:10:24 UTC; stolte
Author: Marieke Stolte [aut, cre, cph] , Luca Sauer [aut], David Alvarez-Melis [ctb] , Nabarun Deb [ctb] , <https://github.com/NabarunD/MultiDistFree.git>), Bodhisattva Sen [ctb] , <https://github.com/NabarunD/MultiDistFree.git>)
Maintainer: Marieke Stolte <stolte@statistik.tu-dortmund.de>
Repository: CRAN
Date/Publication: 2025-03-18 21:10:06 UTC

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New package TPXG with initial version 1.0
Package: TPXG
Title: Two Parameter Xgamma & Poisson Xgamma: Regression & Distribution Functions
Version: 1.0
Date: 2025-03-12
Author: Nikolaos Kontemeniotis [aut, cre], Michail Tsagris [aut]
Maintainer: Nikolaos Kontemeniotis <kontemeniotisn@gmail.com>
Depends: R (>= 4.0)
Imports: Rfast2, stats
Suggests: Rfast
Description: The two-parameter Xgamma and Poisson Xgamma distributions are analyzed, covering standard distribution and regression functions, maximum likelihood estimation, quantile functions, probability density and mass functions, cumulative distribution functions, and random number generation. References include: "Sen, S., Chandra, N. and Maiti, S. S. (2018). On properties and applications of a two-parameter XGamma distribution. Journal of Statistical Theory and Applications, 17(4): 674--685. <doi:10.2991/jsta.2018.17.4.9>." "Wani, M. A., Ahmad, P. B., Para, B. A. and Elah, N. (2023). A new regression model for count data with applications to health care data. International Journal of Data Science and Analytics. <doi:10.1007/s41060-023-00453-1>."
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-03-17 11:59:31 UTC; nikolask
Repository: CRAN
Date/Publication: 2025-03-18 15:10:09 UTC

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New package StatRec with initial version 1.0.0
Package: StatRec
Title: A Statistical Method for Multi-Item Rating and Recommendation Problems
Imports: Rcpp (>= 1.0.14)
Version: 1.0.0
Maintainer: Sjoerd Hermes <sjoerd.hermes@wur.nl>
Description: Implements the methodological developments found in Hermes (2025) <doi:10.48550/arXiv.2503.02786>, and allows for the statistical modeling of data consisting of multiple users that provide an ordinal rating for one or multiple items.
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-03-17 08:55:04 UTC; sjoerd
Author: Sjoerd Hermes [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-18 15:10:13 UTC

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New package SLmetrics with initial version 0.3-3
Package: SLmetrics
Title: Machine Learning Performance Evaluation on Steroids
Version: 0.3-3
Description: Performance evaluation metrics for supervised and unsupervised machine learning, statistical learning and artificial intelligence applications. Core computations are implemented in 'C++' for scalability and efficiency.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, reticulate, rmarkdown, testthat (>= 3.0.0)
Imports: grDevices, lattice, Rcpp
Depends: R (>= 4.3)
URL: https://serkor1.github.io/SLmetrics/, https://github.com/serkor1/SLmetrics
BugReports: https://github.com/serkor1/SLmetrics/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-17 13:41:49 UTC; serkan
Author: Serkan Korkmaz [cre, aut, cph]
Maintainer: Serkan Korkmaz <serkor1@duck.com>
Repository: CRAN
Date/Publication: 2025-03-18 15:20:10 UTC

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New package ResIndex with initial version 0.1.0
Package: ResIndex
Title: Generate Simple yet Effective Metric of Feature Importance for Classification Problems
Version: 0.1.0
Description: An intuitive and explainable metric of Feature Importance for Classification Problems. Resolution Index measures the extent to which a Feature clusters different classes when data is sorted on it. User provides a DataFrame, column name of the Class, sample size and number of iterations used for calculation. Resolution Index for each Feature is returned, which can be effectively used to rank Features and reduce Dimensionality of Training data. For more details on Feature Selection see Theng and Bhoyar (2023) <doi:10.1007/s10115-023-02010-5>.
License: LGPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-17 08:13:17 UTC; 703254631
Author: Anand Jha [aut, cre]
Maintainer: Anand Jha <anandorjha18@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-18 15:10:15 UTC

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New package nettskjemar with initial version 1.0.1
Package: nettskjemar
Title: Connect to the 'nettskjema.no' API of the University of Oslo
Version: 1.0.1
Description: Enables users to retrieve data, meta-data, and codebooks from <https://nettskjema.no/>. The data from the API is richer than from the online data portal. Mowinckel (2021) <doi:10.5281/zenodo.4745481>.
License: MIT + file LICENSE
URL: https://github.com/CAPRO-UiO/nettskjemar, https://zenodo.org/badge/latestdoi/206264675, https://github.com/capro-uio/nettskjemar
BugReports: https://github.com/capro-uio/nettskjemar/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2, jsonlite, tools
Suggests: covr, fs, haven, labelled, knitr, rmarkdown, spelling, testthat (>= 2.1.0), vcr (>= 0.6.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-18 14:00:22 UTC; athanasm
Author: Athanasia Mo Mowinckel [aut, cre] , Trym Nohr Fjoertoft [ctb]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>
Repository: CRAN
Date/Publication: 2025-03-18 15:10:02 UTC

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New package minimalistGODB with initial version 1.0
Package: minimalistGODB
Version: 1.0
Date: 2025-02-27
Title: Build a Minimalist Gene Ontology (GO) Database (GODB)
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
LazyData: true
LazyDataCompression: xz
Description: Normally building a GODB is fairly complicated, involving downloading multiple database files and using these to build e.g. a 'mySQL' database. Accessing this database is also complicated, involving an intimate knowledge of the database in order to construct reliable queries. Here we have a more modest goal, generating GOGOA3, which is a stripped down version of the GODB that is restricted to human genes as designated by the HUGO Gene Nomenclature Committee (HGNC) (see <https://geneontology.org/>). This can be built in a matter of seconds from 2 easily downloaded files (see <https://current.geneontology.org/products/pages/downloads.html> and <https://geneontology.org/docs/download-ontology/>), and it can be queried by e.g. w<-which(GOGOA3[,"HGNC"] %in% hgncList) where GOGOA3 is a matrix representing the minimalist GODB and hgncList is a list of gene identifiers. This database will be used in my upcoming package 'GoMiner' which is based on my previous publication (s [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-17 14:40:17 UTC; barryzeeberg
Repository: CRAN
Date/Publication: 2025-03-18 15:20:07 UTC

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New package fixes with initial version 0.1.0
Package: fixes
Title: Tools for Creating and Visualizing Fixed-Effects Event Study Models
Version: 0.1.0
Description: Provides functions for creating, analyzing, and visualizing event study models using fixed-effects regression.
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, fixest, broom, tibble, rlang
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-17 11:35:50 UTC; yo5uk
Author: Yosuke Abe [aut, cre]
Maintainer: Yosuke Abe <yosuke.abe0507@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-18 15:10:06 UTC

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New package rmon with initial version 1.0.0
Package: rmon
Title: Monitor Changes in Source Code and Auto-Restart Your Server
Version: 1.0.0
Description: The 'R' equivalent of 'nodemon'. Watches specified directories for file changes and reruns a designated 'R' script when changes are detected. It's designed to automate the process of reloading your 'R' applications during development, similar to 'nodemon' for 'Node.js'.
License: MIT + file LICENSE
URL: https://github.com/kennedymwavu/rmon
BugReports: https://github.com/kennedymwavu/rmon/issues
Imports: processx (>= 3.8.4)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-16 16:27:24 UTC; mwavu
Author: Kennedy Mwavu [aut, cre]
Maintainer: Kennedy Mwavu <mwavukennedy@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-18 14:40:02 UTC

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New package extractFAERS with initial version 0.1.1
Package: extractFAERS
Title: Extract Data from FAERS Database
Version: 0.1.1
Description: Provides functions to extract and process data from the FDA Adverse Event Reporting System (FAERS). It facilitates the conversion of raw FAERS data into structured formats for analysis. See Yang et al. (2022) <doi:10.3389/fphar.2021.772768> for related information.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: dplyr (>= 1.1.4), parallel, stringr (>= 1.5.1), utils
NeedsCompilation: no
Packaged: 2025-03-16 11:40:55 UTC; Administrator
Author: Renjun Yang [ctb], Renjun Yang [aut, cre]
Maintainer: Renjun Yang <rjyang@rcees.ac.cn>
Repository: CRAN
Date/Publication: 2025-03-18 14:40:05 UTC

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New package econid with initial version 0.0.1
Package: econid
Title: Economic Entity Identifier Standardization
Version: 0.0.1
Description: Provides utility functions for standardizing economic entity (economy, aggregate, institution, etc.) name and id in economic datasets such as those published by the International Monetary Fund and World Bank. Aims to facilitate consistent data analysis, reporting, and joining across datasets. Used as a foundational building block in the 'econdataverse' family of packages (<https://www.econdataverse.org>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, purrr, fuzzyjoin, rlang, tibble, tidyr
Suggests: testthat (>= 3.0.0), stringr, withr
URL: https://teal-insights.github.io/r-econid/, https://github.com/Teal-Insights/r-econid
BugReports: https://github.com/Teal-Insights/r-econid/issues
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-16 14:54:39 UTC; chriscarrollsmith
Author: L. Teal Emery [cre], Christopher C. Smith [aut], Christoph Scheuch [ctb], Teal Insights [cph]
Maintainer: L. Teal Emery <lte@tealinsights.com>
Repository: CRAN
Date/Publication: 2025-03-18 14:50:02 UTC

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New package MFSIS with initial version 0.3.0
Package: MFSIS
Title: Model-Free Sure Independent Screening Procedures
Version: 0.3.0
Date: 2025-03-18
Author: Xuewei Cheng [aut, cre], Hong Wang [aut], Liping Zhu [aut], Wei Zhong [aut], Hanpu Zhou [aut]
Maintainer: Xuewei Cheng <xwcheng@hunnu.edu.cn>
Description: An implementation of popular screening methods that are commonly employed in ultra-high and high dimensional data. Through this publicly available package, we provide a unified framework to carry out model-free screening procedures including SIS (Fan and Lv (2008) <doi:10.1111/j.1467-9868.2008.00674.x>), SIRS (Zhu et al. (2011)<doi:10.1198/jasa.2011.tm10563>), DC-SIS (Li et al. (2012) <doi:10.1080/01621459.2012.695654>), MDC-SIS (Shao and Zhang (2014) <doi:10.1080/01621459.2014.887012>), Bcor-SIS (Pan et al. (2019) <doi:10.1080/01621459.2018.1462709>), PC-Screen (Liu et al. (2020) <doi:10.1080/01621459.2020.1783274>), WLS (Zhong et al.(2021) <doi:10.1080/01621459.2021.1918554>), Kfilter (Mai and Zou (2015) <doi:10.1214/14-AOS1303>), MVSIS (Cui et al. (2015) <doi:10.1080/01621459.2014.920256>), PSIS (Pan et al. (2016) <doi:10.1080/01621459.2014.998760>), CAS (Xie et al. (2020) <doi:10.1080/01621459.2019.1573734>), CI-SIS [...truncated...]
License: GPL (>= 2)
SystemRequirements: Python (>= 3.8.0)
Encoding: UTF-8
Imports: survival, MASS, Ball, reticulate, stats, crayon, cli, dr, foreach, parallel, doParallel
Suggests: knitr, utils, pkgdown
NeedsCompilation: no
Repository: CRAN
Packaged: 2025-03-18 02:54:43 UTC; ChengXuewei
Date/Publication: 2025-03-18 11:50:07 UTC

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New package unnest with initial version 0.0.7
Package: unnest
Title: Unnest Hierarchical Data Structures
Version: 0.0.7
Description: Fast flattening of hierarchical data structures (e.g. JSON, XML) into data.frames with a flexible spec language.
License: GPL (>= 2)
Encoding: UTF-8
Suggests: data.table, dplyr, knitr, repurrrsive, rmarkdown, testthat, tibble, tidyr
VignetteBuilder: knitr
URL: https://github.com/vspinu/unnest/, https://vspinu.github.io/unnest/
BugReports: https://github.com/vspinu/unnest/issues
NeedsCompilation: yes
Packaged: 2025-03-18 00:28:21 UTC; vitalie
Author: Vitalie Spinu [aut, cre]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-18 08:30:02 UTC

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New package pminternal with initial version 0.1.0
Package: pminternal
Title: Internal Validation of Clinical Prediction Models
Version: 0.1.0
Maintainer: Stephen Rhodes <steverho89@gmail.com>
Description: Conduct internal validation of a clinical prediction model for a binary outcome. Produce bias corrected performance metrics (c-statistic, Brier score, calibration intercept/slope) via bootstrap (simple bootstrap, bootstrap optimism, .632 optimism) and cross-validation (CV optimism, CV average). Also includes functions to assess model stability via bootstrap resampling. See Steyerberg et al. (2001) <doi:10.1016/s0895-4356(01)00341-9>; Harrell (2015) <doi:10.1007/978-3-319-19425-7>; Riley and Collins (2023) <doi:10.1002/bimj.202200302>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/stephenrho/pminternal, https://stephenrho.github.io/pminternal/
BugReports: https://github.com/stephenrho/pminternal/issues
Imports: dcurves, graphics, grDevices, insight, marginaleffects, methods, pmcalibration, pROC, stats, parallel, pbapply, purrr
Suggests: ggplot2, glmnet, Hmisc, knitr, rmarkdown, ranger, gbm, rms, mgcv, mice
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-15 17:24:31 UTC; stephenrhodes
Author: Stephen Rhodes [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-03-18 08:50:02 UTC

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Mon, 17 Mar 2025

New package pacta.loanbook with initial version 0.1.0
Package: pacta.loanbook
Title: Easily Install and Load PACTA for Banks Packages
Version: 0.1.0
Description: PACTA (Paris Agreement Capital Transition Assessment) for Banks is a tool that allows banks to calculate the climate alignment of their corporate lending portfolios. This package is designed to make it easy to install and load multiple PACTA for Banks packages in a single step. It also provides thorough documentation - the PACTA for Banks cookbook at <https://rmi-pacta.github.io/pacta.loanbook/articles/cookbook_overview.html> - on how to run a PACTA for Banks analysis. This covers prerequisites for the analysis, the separate steps of running the analysis, the interpretation of PACTA for Banks results, and advanced use cases.
License: MIT + file LICENSE
URL: https://rmi-pacta.github.io/pacta.loanbook/, https://github.com/RMI-PACTA/pacta.loanbook
BugReports: https://github.com/RMI-PACTA/pacta.loanbook/issues
Depends: R (>= 4.0.0)
Imports: cli, dplyr, ggrepel, magrittr, purrr, r2dii.analysis (>= 0.5.1), r2dii.data (>= 0.6.0), r2dii.match (>= 0.4.0), r2dii.plot (>= 0.5.1), rlang, rstudioapi, scales, tibble, tidyselect
Suggests: covr, DiagrammeR, ggplot2, gt (>= 0.11.0), knitr (>= 1.42), readr, readxl, rmarkdown (>= 2.19), spelling, testthat (>= 3.2.2), tidyr, writexl
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-14 17:03:28 UTC; jkastl
Author: Jacob Kastl [aut, cre, ctr] , Jackson Hoffart [aut, ctr] , CJ Yetman [aut, ctr] , RMI [cph, fnd]
Maintainer: Jacob Kastl <jacob.kastl@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-17 20:50:02 UTC

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New package FunSurv with initial version 1.0.0
Package: FunSurv
Title: Modeling Time-to-Event Data with Functional Predictors
Version: 1.0.0
Description: A collection of methods for modeling time-to-event data using both functional and scalar predictors. It implements functional data analysis techniques for estimation and inference, allowing researchers to assess the impact of functional covariates on survival outcomes, including time-to-single event and recurrent event outcomes.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
URL: https://github.com/zifangkong/FunSurv
BugReports: https://github.com/zifangkong/FunSurv/issues
Encoding: UTF-8
Imports: MFPCA, MASS, funData, Matrix, ggplot2, methods, reda (>= 0.5.0)
NeedsCompilation: no
Packaged: 2025-03-13 15:59:20 UTC; zifangkong
Author: Zifang Kong [aut, cre], Sy Han Chiou [aut], Yu-Lun Liu [aut]
Maintainer: Zifang Kong <zkong@smu.edu>
Repository: CRAN
Date/Publication: 2025-03-17 21:00:02 UTC

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New package EQRN with initial version 0.1.1
Package: EQRN
Title: Extreme Quantile Regression Neural Networks for Risk Forecasting
Version: 0.1.1
Description: This framework enables forecasting and extrapolating measures of conditional risk (e.g. of extreme or unprecedented events), including quantiles and exceedance probabilities, using extreme value statistics and flexible neural network architectures. It allows for capturing complex multivariate dependencies, including dependencies between observations, such as sequential dependence (time-series). The methodology was introduced in Pasche and Engelke (2024) <doi:10.1214/24-AOAS1907> (also available in preprint: Pasche and Engelke (2022) <doi:10.48550/arXiv.2208.07590>).
License: GPL (>= 3)
Encoding: UTF-8
Imports: coro, doFuture, evd, foreach, future, ismev, magrittr, stats, torch, utils
URL: https://github.com/opasche/EQRN, https://opasche.github.io/EQRN/
BugReports: https://github.com/opasche/EQRN/issues
NeedsCompilation: no
Packaged: 2025-03-14 15:35:01 UTC; pascheo
Author: Olivier C. Pasche [aut, cre, cph]
Maintainer: Olivier C. Pasche <olivier_pasche@alumni.epfl.ch>
Repository: CRAN
Date/Publication: 2025-03-17 20:40:02 UTC

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New package rIACI with initial version 1.0.0
Package: rIACI
Title: Iberian Actuarial Climate Index Calculations
Version: 1.0.0
Description: Calculates the Iberian Actuarial Climate Index and its components—including temperature, precipitation, wind power, and sea level data—to support climate change analysis and risk assessment. See "Zhou et al." (2023) <doi:10.26360/2023_3> for further details.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.5), dplyr, tidyr, lubridate, magrittr, reticulate, ecmwfr, readr, stats, utils
LinkingTo: Rcpp
Suggests: roxygen2, devtools, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-17 14:53:24 UTC; nnnn
Author: Nan Zhou [aut, cre]
Maintainer: Nan Zhou <zhounan@ucm.es>
Repository: CRAN
Date/Publication: 2025-03-17 16:10:02 UTC

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New package DLSSM with initial version 1.1.0
Package: DLSSM
Title: Dynamic Logistic State Space Prediction Model
Version: 1.1.0
Maintainer: Jiakun Jiang <jiakunj@bnu.edu.cn>
Description: Implements the dynamic logistic state space model for binary outcome data proposed by Jiang et al. (2021) <doi:10.1111/biom.13593>. It provides a computationally efficient way to update the prediction whenever new data becomes available. It allows for both time-varying and time-invariant coefficients, and use cubic smoothing splines to model varying coefficients. The smoothing parameters are objectively chosen by maximum likelihood. The model is updated using batch data accumulated at pre-specified time intervals.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Matrix
Depends: R (>= 3.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-17 09:09:33 UTC; jiakun
Author: Jiakun Jiang [aut, cre], Wei Yang [aut], Wensheng Guo [aut]
Repository: CRAN
Date/Publication: 2025-03-17 12:10:02 UTC

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New package btb with initial version 0.2.1
Encoding: UTF-8
Package: btb
Title: Beyond the Border - Kernel Density Estimation for Urban Geography
Description: The kernelSmoothing() function allows you to square and smooth geolocated data. It calculates a classical kernel smoothing (conservative) or a geographically weighted median. There are four major call modes of the function. The first call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth) for a classical kernel smoothing and automatic grid. The second call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles) for a geographically weighted median and automatic grid. The third call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, centroids) for a classical kernel smoothing and user grid. The fourth call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles, centroids) for a geographically weighted median and user grid. Geographically weighted summary statistics : a framework for localised exploratory data analysis, C.Brunsdon & al., in Computers, Environment and Urban Systems C.Brunsdon & al. (2002) <doi:10.1016/S0198-9715(01)00009-6>, S [...truncated...]
Version: 0.2.1
License: GPL (>= 2)
Date: 2025-03-13
Imports: methods, Rcpp (>= 1.0.9), sf, RcppParallel, magrittr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0),
Depends: R (>= 3.3.0), dplyr, mapsf
Maintainer: Solene Colin <solene.colin@insee.fr>
LinkingTo: Rcpp, RcppParallel, BH (>= 1.60.0-1), RcppArmadillo
LazyData: true
URL: https://github.com/InseeFr/btb, https://inseefr.github.io/btb/
BugReports: https://github.com/InseeFr/btb/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-17 10:33:17 UTC; onyxia
Author: Arlindo Dos Santos [aut], Francois Semecurbe [aut], Julien Pramil [aut], Solene Colin [cre, ctb], Kim Antunez [ctb], Auriane Renaud [ctb], Farida Marouchi [ctb], Joachim Timoteo [ctb], Institut national de la statistique et des etudes economiques [cp [...truncated...]
Repository: CRAN
Date/Publication: 2025-03-17 11:30:07 UTC

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New package DATAstudio with initial version 1.2
Package: DATAstudio
Version: 1.2
Date: 2025-03-16
Title: The Research Data Warehouse of Miguel de Carvalho
Description: Pulls together a collection of datasets from Miguel de Carvalho research articles. Including, for example: - de Carvalho (2012) <doi:10.1016/j.jspi.2011.08.016>; - de Carvalho et al (2012) <doi:10.1080/03610926.2012.709905>; - de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>); - de Carvalho and Davison (2014) <doi:10.1080/01621459.2013.872651>; - de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>; - de Carvalho et al (2023) <doi:10.1002/sta4.560>; - de Carvalho et al (2022) <doi:10.1007/s13253-021-00469-9>; - Palacios et al (2024) <doi:10.1214/24-BA1420>.
Author: Miguel de Carvalho [aut, cre]
Depends: R (>= 3.5)
Maintainer: Miguel de Carvalho <Miguel.deCarvalho@ed.ac.uk>
License: GPL (>= 3)
Repository: CRAN
Suggests: extremis, spearmanCI
Imports: data.table, ggplot2, scales
LazyData: true
URL: https://www.maths.ed.ac.uk/~mdecarv/
NeedsCompilation: no
Packaged: 2025-03-17 06:51:05 UTC; muad'dib
Date/Publication: 2025-03-17 10:30:08 UTC

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New package shinyNextUI with initial version 0.1.0
Package: shinyNextUI
Title: 'HeroUI' 'React' Template for 'shiny' Apps
Version: 0.1.0
Description: A set of user interface components to create outstanding 'shiny' apps <https://shiny.posit.co/>, with the power of 'React' 'JavaScript' <https://react.dev/>. Seamlessly support dark and light themes, customize CSS with 'tailwind' <https://tailwindcss.com/>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://rinterface.github.io/shinyNextUI/
Imports: htmltools, shiny, shiny.react, jsonlite
Suggests: testthat (>= 3.0.0), shinytest2, purrr, thematic, shiny.router, roxy.shinylive
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-14 06:43:57 UTC; davidgranjon
Author: David Granjon [aut, cre], Next UI Inc [ctb, cph]
Maintainer: David Granjon <dgranjon@ymail.com>
Repository: CRAN
Date/Publication: 2025-03-17 08:50:02 UTC

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New package rlowdb with initial version 0.1.0
Package: rlowdb
Title: Lightweight JSON-Based Database
Version: 0.1.0
Description: The goal of 'rlowdb' is to provide a lightweight, file-based JSON database. Inspired by 'LowDB' in 'JavaScript', it generates an intuitive interface for storing, retrieving, updating, and querying structured data without requiring a full-fledged database system. Ideal for prototyping, small-scale applications, and lightweight data management needs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite (>= 1.8.8), purrr (>= 1.0.2), R6 (>= 2.5.1), rlang (>= 1.1.3)
Suggests: testthat (>= 3.2.3)
NeedsCompilation: no
Packaged: 2025-03-14 05:53:24 UTC; mohamedelfodilihaddaden
Author: Mohamed El Fodil Ihaddaden [aut, cre], lowdb developers [ctb, cph]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-17 08:50:08 UTC

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New package kitesquare with initial version 0.0.1
Package: kitesquare
Title: Visualize Contingency Tables Using Kite-Square Plots
Version: 0.0.1
Description: Create a kite-square plot for contingency tables using 'ggplot2', to display their relevant quantities in a single figure (marginal, conditional, expected, observed, chi-squared). The plot resembles a flying kite inside a square if the variables are independent, and deviates from this the more dependence exists.
License: LGPL (>= 3)
Encoding: UTF-8
URL: https://github.com/HUGLeipzig/kitesquare
BugReports: https://github.com/HUGLeipzig/kitesquare/issues
VignetteBuilder: quarto
Imports: tidyr, dplyr, ggplot2, ggh4x, scales, rlang
Suggests: knitr, quarto
NeedsCompilation: no
Packaged: 2025-03-14 08:58:31 UTC; Wiedenhoef
Author: John Wiedenhoeft [aut, cre, cph]
Maintainer: John Wiedenhoeft <john.wiedenhoeft@medizin.uni-leipzig.de>
Repository: CRAN
Date/Publication: 2025-03-17 08:50:12 UTC

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New package bdsm with initial version 0.1.1
Package: bdsm
Title: Bayesian Dynamic Systems Modeling
Version: 0.1.1
Description: Implements methods for building and analyzing models based on panel data as described in the paper by Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: spelling, testthat (>= 3.0.0)
Imports: dplyr, ggplot2, ggpubr, grid, gridExtra, knitr, magrittr, optimbase, parallel, rje, rlang, rootSolve, stats, tidyr, tidyselect
Depends: R (>= 2.10)
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-16 21:34:16 UTC; marcindubel
Author: Mateusz Wyszynski [aut], Marcin Dubel [ctb, cre], Krzysztof Beck [ctb]
Maintainer: Marcin Dubel <marcindubel@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-17 07:30:12 UTC

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Sat, 15 Mar 2025

New package SnowData with initial version 1.0.0
Package: SnowData
Title: Historical Data from John Snow's 1854 Cholera Outbreak Map
Version: 1.0.0
Description: Provides historical datasets related to John Snow's 1854 cholera outbreak study in London. Includes data on cholera cases, water pump locations, and the street layout, enabling analysis and visualisation of the outbreak.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: terra, utils
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-13 20:36:28 UTC; niamh
Author: Niamh Mimnagh [aut, cre]
Maintainer: Niamh Mimnagh <niamhmimnagh@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-15 17:20:06 UTC

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New package RcppDPR with initial version 0.1.9
Package: RcppDPR
Title: 'Rcpp' Implementation of Dirichlet Process Regression
Version: 0.1.9
Description: 'Rcpp' reimplementation of the the Bayesian non-parametric Dirichlet Process Regression model for penalized regression first published in Zeng and Zhou (2017) <doi:10.1038/s41467-017-00470-2>. A full Bayesian version is implemented with Gibbs sampling, as well as a faster but less accurate variational Bayes approximation.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.13)
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
Suggests: testthat (>= 3.0.0), snpStats
NeedsCompilation: yes
Packaged: 2025-03-13 17:03:08 UTC; moe
Author: Mohammad Abu Gazala [cre, aut], Daniel Nachun [ctb], Ping Zeng [ctb]
Maintainer: Mohammad Abu Gazala <abugazalamohammad@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-15 17:20:09 UTC

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New package ProxReg with initial version 0.1.1
Package: ProxReg
Title: Linear Models for Prediction and Classification using Proximal Operators
Version: 0.1.1
Date: 2025-02-27
Maintainer: YingHong Chen <yinghongchen1402@gmail.com>
Description: Implements optimization techniques for Lasso regression, R.Tibshirani(1996)<doi:10.1111/j.2517-6161.1996.tb02080.x> using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) and Iterative Shrinkage-Thresholding Algorithm (ISTA) based on proximal operators, A.Beck(2009)<doi:10.1137/080716542>. The package is useful for high-dimensional regression problems and includes cross-validation procedures to select optimal penalty parameters.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Suggests: knitr, rmarkdown,
VignetteBuilder: knitr
Imports: dplyr, EBImage, glmnet
NeedsCompilation: no
Packaged: 2025-03-13 15:48:55 UTC; yingh
Author: YingHong Chen [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-15 17:10:12 UTC

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New package iRfcb with initial version 0.4.3
Package: iRfcb
Title: Tools for Managing Imaging FlowCytobot (IFCB) Data
Version: 0.4.3
Description: A comprehensive suite of tools for managing, processing, and analyzing data from the IFCB. I R FlowCytobot ('iRfcb') supports quality control, geospatial analysis, and preparation of IFCB data for publication in databases like <https://www.gbif.org>, <https://www.obis.org>, <https://emodnet.ec.europa.eu/en>, <https://shark.smhi.se/>, and <https://www.ecotaxa.org>. The package integrates with the MATLAB 'ifcb-analysis' tool, which is described in Sosik and Olson (2007) <doi:10.4319/lom.2007.5.204>, and provides features for working with raw, manually classified, and machine learning–classified image datasets. Key functionalities include image extraction, particle size distribution analysis, taxonomic data handling, and biomass concentration calculations, essential for plankton research.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: zip, lifecycle, shiny, stringr, dplyr, sf, reticulate (>= 1.41.0), tidyr, ggplot2, readr, worrms, png, R.matlab, curl, lubridate
Note: This package includes code from https://github.com/kudelalab/PSD by kudelalab licensed under the MIT License.
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), fs, mockery, shinytest2
VignetteBuilder: knitr
URL: https://europeanifcbgroup.github.io/iRfcb/, https://github.com/EuropeanIFCBGroup/iRfcb
NeedsCompilation: no
Packaged: 2025-03-13 22:12:00 UTC; anderstorstensson
Author: Anders Torstensson [aut, cre] , Kendra Hayashi [ctb] , Jamie Enslein [ctb], Raphael Kudela [ctb] , Alle Lie [ctb] , Jayme Smith [ctb] , DTO-BioFlow [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>
Repository: CRAN
Date/Publication: 2025-03-15 17:20:01 UTC

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New package golfr with initial version 0.1.0
Package: golfr
Title: Group Assignment Tool
Version: 0.1.0
Description: An efficient algorithm to generate group assignments for classroom settings while minimizing repeated pairings across multiple rounds.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-13 15:32:21 UTC; collin
Author: Hannah Kim [aut], Collin Nolte [cre]
Maintainer: Collin Nolte <noltecollin@grinnell.edu>
Repository: CRAN
Date/Publication: 2025-03-15 17:10:01 UTC

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New package ggvfields with initial version 1.0.0
Package: ggvfields
Title: Vector Field Visualizations with 'ggplot2'
Version: 1.0.0
Maintainer: Dusty Turner <dusty.s.turner@gmail.com>
Description: A 'ggplot2' extension for visualizing vector fields in two-dimensional space. Provides flexible tools for creating vector and stream field layers, visualizing gradients and potential fields, and smoothing vector and scalar data to estimate underlying patterns.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0), ggplot2 (>= 3.3.0)
Imports: farver, tibble, numDeriv, deSolve, grid, utils, scales, cli
URL: https://github.com/dusty-turner/ggvfields
BugReports: https://github.com/dusty-turner/ggvfields/issues
Suggests: ggdensity, knitr, rmarkdown, testthat (>= 3.0.0)
Date: 2025-03-08
BuildVignettes: true
NeedsCompilation: no
Packaged: 2025-03-13 15:33:55 UTC; Dusty_Turner1
Author: Dusty Turner [aut, cre], David Kahle [aut], Rodney X. Sturdivant [aut]
Repository: CRAN
Date/Publication: 2025-03-15 17:10:05 UTC

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New package sourcoise with initial version 0.5.0
Package: sourcoise
Title: Source a Script and Cache
Version: 0.5.0
Description: Provides a function that behave nearly as base::source() but implements a caching mechanism on disk, project based. It allows to quasi source() R scripts that gather data but can fail or consume to much time to respond even if nothing new is expected. It comes with tools to check and execute on demand or when cache is invalid the script.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://xtimbeau.github.io/sourcoise/, https://github.com/xtimbeau/sourcoise
Depends: R (>= 4.1.0)
Imports: fs, qs2, cli, purrr, digest, dplyr, lubridate, tibble, jsonlite, lobstr, stringr, glue, rprojroot, rlang, scales, logger
Suggests: knitr, insee, memoise, quarto, bench
VignetteBuilder: quarto
SystemRequirements: Quarto command line tools (https://github.com/quarto-dev/quarto-cli).
BugReports: https://github.com/xtimbeau/sourcoise/issues
NeedsCompilation: no
Packaged: 2025-03-13 14:29:40 UTC; timbe
Author: Xavier Timbeau [aut, cre, cph]
Maintainer: Xavier Timbeau <xavier.timbeau@sciencespo.fr>
Repository: CRAN
Date/Publication: 2025-03-15 17:00:02 UTC

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New package RcensusPkg with initial version 0.1.4
Package: RcensusPkg
Title: Easily Access US Census Bureau Survey and Geographic Data
Version: 0.1.4
Description: The key function 'get_vintage_data()' returns a dataframe and is the window into the Census Bureau API requiring just a dataset name, vintage(year), and vector of variable names for survey estimates/percentages. Other functions assist in searching for available datasets, geographies, group/variable concepts of interest. Also provided are functions to access and layer (via standard piping) displayable geometries for the US, states, counties, blocks/tracts, roads, landmarks, places, and bodies of water. Joining survey data with many of the geometry functions is built-in to produce choropleth maps.
License: MIT + file LICENSE
URL: https://github.com/deandevl/RcensusPkg
BugReports: https://github.com/deandevl/RcensusPkg/issues
Depends: R (>= 4.4.0)
Imports: ggplot2 (>= 3.5.1), data.table (>= 1.16.4), httr (>= 1.4.7), jsonlite (>= 1.8.9), stringr (>= 1.5.1), purrr (>= 1.0.2), sf (>= 1.0-19), ggplotify (>= 0.1.2), gtable (>= 0.3.6), RplotterPkg (>= 0.1.3)
Suggests: knitr (>= 1.4.9), testthat (>= 3.0.0), usethis (>= 3.1.0), usmap (>= 0.7.1), vdiffr (>= 1.0.8), classInt (>= 0.4-10), RColorBrewer (>= 1.1-3), here (>= 1.0.1), withr (>= 3.0.2)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-13 11:18:00 UTC; deanr
Author: Rick Dean [aut, cre, cph]
Maintainer: Rick Dean <deanr3@bardstown.com>
Repository: CRAN
Date/Publication: 2025-03-15 16:50:02 UTC

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New package ambiorix with initial version 2.2.0
Package: ambiorix
Title: Web Framework Inspired by 'Express.js'
Version: 2.2.0
Description: A web framework inspired by 'express.js' to build any web service from multi-page websites to 'RESTful' application programming interfaces.
License: GPL (>= 3)
Encoding: UTF-8
Imports: fs, log, cli, glue, httpuv, methods, assertthat, webutils (>= 1.2.0), yyjsonr (>= 0.1.20)
Suggests: mime, readr, readxl, ggplot2, promises, jsonlite, websocket, htmltools, commonmark, htmlwidgets, testthat (>= 3.0.0)
URL: https://github.com/ambiorix-web/ambiorix, https://ambiorix.dev
BugReports: https://github.com/ambiorix-web/ambiorix/issues
NeedsCompilation: no
Packaged: 2025-03-13 10:51:06 UTC; mwavu
Author: John Coene [aut, cre] , Opifex [fnd], Kennedy Mwavu [ctb]
Maintainer: John Coene <jcoenep@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-15 16:40:02 UTC

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Fri, 14 Mar 2025

New package cpp11tesseract with initial version 5.3.5
Package: cpp11tesseract
Title: Open Source OCR Engine
Version: 5.3.5
Description: Bindings to 'tesseract': 'tesseract' (<https://github.com/tesseract-ocr/tesseract>) is a powerful optical character recognition (OCR) engine that supports over 100 languages. The engine is highly configurable in order to tune the detection algorithms and obtain the best possible results.
License: Apache License (>= 2)
URL: https://pacha.dev/cpp11tesseract/
BugReports: https://github.com/pachadotdev/cpp11tesseract/issues
SystemRequirements: Tesseract OCR ( deb: libtesseract-dev libleptonica-dev tesseract-ocr-eng, rpm: tesseract-devel leptonica-devel tesseract-langpack-eng, brew: tesseract leptonica )
Imports: curl, digest
LinkingTo: cpp11
Suggests: spelling, knitr, tibble, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2025-03-14 02:04:11 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Jeroen Ooms [aut] , HP [cph] , Google [cph] , Munk School of Global Affairs and Public Policy [fnd]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2025-03-14 14:10:02 UTC

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New package quartabs with initial version 0.1.0
Package: quartabs
Title: Dynamically Generate Tabset Panels in 'Quarto' HTML Documents
Version: 0.1.0
Description: Dynamically generate tabset panels <https://quarto.org/docs/output-formats/html-basics.html#tabsets> in 'Quarto' HTML documents using a data frame as input.
License: MIT + file LICENSE
URL: https://sayuks.github.io/quartabs/, https://github.com/sayuks/quartabs
BugReports: https://github.com/sayuks/quartabs/issues
Suggests: altdoc, dplyr (>= 1.0.0), DT, flextable, gt (>= 0.9.0), htmltools, knitr, plotly, purrr, quarto, reactable, sessioninfo, spelling, testthat (>= 3.0.0), tibble, tidyr, tinytable, utils
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-13 08:35:46 UTC; ysasa
Author: Yusuke Sasaki [aut, cre]
Maintainer: Yusuke Sasaki <sayuks.dev@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-14 12:50:02 UTC

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New package gek with initial version 1.1.0
Package: gek
Title: Gradient-Enhanced Kriging
Version: 1.1.0
Date: 2025-03-13
Description: Gradient-Enhanced Kriging as an emulator for computer experiments based on Maximum-Likelihood estimation.
Imports: stats, graphics, dfoptim
License: GPL (>= 2)
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2025-03-13 15:45:01 UTC; vanmeegen
Author: Carmen van Meegen [aut, cre]
Maintainer: Carmen van Meegen <vanmeegen@statistik.tu-dortmund.de>
Repository: CRAN
Date/Publication: 2025-03-14 12:30:01 UTC

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New package kbal with initial version 0.1.2
Package: kbal
Title: Kernel Balancing
Version: 0.1.2
Date: 2025-03-12
Description: Provides a weighting approach that employs kernels to make one group have a similar distribution to another group on covariates. This method matches not only means or marginal distributions but also higher-order transformations implied by the choice of kernel. 'kbal' is applicable to both treatment effect estimation and survey reweighting problems. Based on Hazlett, C. (2020) "Kernel Balancing: A flexible non-parametric weighting procedure for estimating causal effects." Statistica Sinica. <https://www.researchgate.net/publication/299013953_Kernel_Balancing_A_flexible_non-parametric_weighting_procedure_for_estimating_causal_effects/stats>.
URL: https://github.com/chadhazlett/kbal
License: GPL (>= 2)
LazyData: TRUE
LazyLoad: yes
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.11.0), RcppParallel (>= 4.4.4), dplyr, RSpectra
LinkingTo: Rcpp, RcppParallel
Maintainer: Borna Bateni <borna@ucla.edu>
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-03-14 01:23:38 UTC; borna
Author: Chad Hazlett [aut, cph], Ciara Sterbenz [aut], Erin Hartman [ctb], Alex Kravetz [ctb], Borna Bateni [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-14 09:30:01 UTC

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Thu, 13 Mar 2025

New package webqueue with initial version 1.0.0
Package: webqueue
Title: Multicore HTTP Server
Version: 1.0.0
Date: 2025-03-12
Description: Distributes HTTP requests among a pool of background R processes. Supports timeouts and interrupts of requests to ensure that CPU cores are utilized effectively.
URL: https://cmmr.github.io/webqueue/, https://github.com/cmmr/webqueue
BugReports: https://github.com/cmmr/webqueue/issues
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
Imports: cli, httpuv, jsonlite, jobqueue, later, parallelly, promises, R6, rlang, semaphore, webutils, utils
Suggests: httr2, knitr, RCurl, rmarkdown, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2025-03-12 21:23:44 UTC; Daniel
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-13 21:10:02 UTC

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New package pkgdiff with initial version 0.1.9
Package: pkgdiff
Title: Identifies Package Differences
Version: 0.1.9
Maintainer: David Bosak <dbosak01@gmail.com>
Description: Identifies differences between versions of a package. Specifically, the functions help determine if there are breaking changes from one package version to the next. The package also includes a stability assessment, to help you determine the overall stability of a package, or even an entire repository.
License: CC0
Encoding: UTF-8
URL: https://pkgdiff.r-sassy.org, https://github.com/dbosak01/pkgdiff
BugReports: https://github.com/dbosak01/pkgdiff/issues
Depends: R (>= 4.0.0)
Imports: rvest, common, crayon, utils, cranlogs
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-12 22:02:58 UTC; dbosa
Author: David Bosak [aut, cre], Brian Varney [ctb], Kevin Putschko [ctb]
Repository: CRAN
Date/Publication: 2025-03-13 21:10:05 UTC

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New package R4GoodPersonalFinances with initial version 0.2.0
Package: R4GoodPersonalFinances
Title: Make Better Financial Decisions
Version: 0.2.0
Description: Make informed, data-driven decisions for your personal or household finances. Use tools and methods that are selected carefully to align with academic consensus, bridging the gap between theoretical knowledge and practical application. They assist you in finding optimal asset allocation, preparing for retirement or financial independence, calculating optimal spending, and more. For more details see: Haghani V., White J. (2023, ISBN:978-1-119-74791-8), Idzorek T., Kaplan P. (2024, ISBN:9781952927379).
License: MIT + file LICENSE
URL: https://www.r4good.academy/, https://r4goodacademy.github.io/R4GoodPersonalFinances/, https://github.com/R4GoodAcademy/R4GoodPersonalFinances
BugReports: https://github.com/R4GoodAcademy/R4GoodPersonalFinances/issues
Depends: R (>= 4.1.0)
Imports: bsicons, bslib, dplyr, ggplot2, ggrepel, ggtext, glue, PrettyCols, scales, shiny, tidyr, readr, fs, purrr, stringr, withr
Suggests: spelling, testthat (>= 3.0.0), vdiffr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-12 14:54:21 UTC; kamil
Author: Kamil Wais [aut, cre, cph, fnd] , Olesia Wais [aut]
Maintainer: Kamil Wais <kamil.wais@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-13 20:50:05 UTC

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New package lionfish with initial version 1.0.27
Package: lionfish
Title: Interactive 'tourr' Using 'python'
Version: 1.0.27
Description: Extends the functionality of the 'tourr' package by an interactive graphical user interface. The interactivity allows users to effortlessly refine their 'tourr' results by manual intervention, which allows for integration of expert knowledge and aids the interpretation of results. For more information on 'tourr' see Wickham et. al (2011) <doi:10.18637/jss.v040.i02> or <https://github.com/ggobi/tourr>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: reticulate, tourr (>= 1.2.4), data.table, utils
Suggests: ggplot2, viridis, randomForest, knitr, rmarkdown, markdown, colorspace, ggbeeswarm, patchwork, mvtnorm, tidyverse, dplyr, gridExtra, flexclust
VignetteBuilder: knitr
URL: https://mmedl94.github.io/lionfish/
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-12 17:01:22 UTC; matthias
Author: Matthias Medl [aut, cre]
Maintainer: Matthias Medl <matthias.medl@chello.at>
Repository: CRAN
Date/Publication: 2025-03-13 20:50:02 UTC

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New package SeuratExplorer with initial version 0.1.0
Package: SeuratExplorer
Title: An 'Shiny' App for Exploring scRNA-seq Data Processed in 'Seurat'
Version: 0.1.0
Description: A simple, one-command package which runs an interactive dashboard capable of common visualizations for single cell RNA-seq. 'SeuratExplorer' requires a processed 'Seurat' object, which is saved as 'rds' or 'qs2' file.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, utils, Seurat, shiny, shinydashboard, DT, shinycssloaders, patchwork, tools, colourpicker, shinyWidgets, scales, SeuratObject, shinyjqui, shinyBS, ggalluvial, dplyr, ComplexHeatmap, qs2, circlize, reshape2, stats, htmltools
Depends: R (>= 4.1.0)
Suggests: BiocManager, DESeq2, MAST, roxygen2, devtools
NeedsCompilation: no
Packaged: 2025-03-12 00:05:21 UTC; Xi_Lab
Author: Yongchao Zhang [aut, cre]
Maintainer: Yongchao Zhang <zhangyongchao@nibs.ac.cn>
Repository: CRAN
Date/Publication: 2025-03-13 13:10:05 UTC

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New package HARplus with initial version 1.0.1
Package: HARplus
Title: Enhanced R Package for 'GEMPACK' .har and .sl4 Files
Version: 1.0.1
Description: Provides tools for processing and analyzing .har and .sl4 files, making it easier for 'GEMPACK' users and 'GTAP' researchers to handle large economic datasets. It simplifies the management of multiple experiment results, enabling faster and more efficient comparisons without complexity. Users can extract, restructure, and merge data seamlessly, ensuring compatibility across different tools. The processed data can be exported and used in 'R', 'Stata', 'Python', 'Julia', or any software that supports Text, CSV, or 'Excel' formats.
License: MIT + file LICENSE
Encoding: UTF-8
BugReports: https://github.com/bodysbobb/HARplus/issues/
URL: https://github.com/bodysbobb/HARplus/, https://bodysbobb.github.io/HARplus/
Imports: openxlsx, haven, stats, utils, tidyr, tools, tidyselect
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-12 02:09:52 UTC; b_pat
Author: Pattawee Puangchit [aut, cre]
Maintainer: Pattawee Puangchit <ppuangch@purdue.edu>
Repository: CRAN
Date/Publication: 2025-03-13 13:20:06 UTC

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New package cpam with initial version 0.1.3
Package: cpam
Title: Changepoint Additive Models for Time Series Omics Data
Version: 0.1.3
Description: Provides a comprehensive framework for time series omics analysis, integrating changepoint detection, smooth and shape-constrained trends, and uncertainty quantification. It supports gene- and transcript-level inferences, p-value aggregation for improved power, and both case-only and case-control designs. It includes an interactive 'shiny' interface. The methods are described in Yates et al. (2024) <doi:10.1101/2024.12.22.630003>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: bslib, cli, dplyr, edgeR, ggplot2, grDevices, magrittr, matrixStats, mgcv, mvnfast, parallel, pbmcapply, purrr, RColorBrewer, rlang, scam, shiny, shinyjs, stats, stringr, tidyr, tximport
Depends: R (>= 3.5)
URL: https://l-a-yates.github.io/cpam/, https://github.com/l-a-yates/cpam
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
BugReports: https://github.com/l-a-yates/cpam/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-11 23:41:12 UTC; layates
Author: Luke Yates [aut, cre, cph] , Michael Charleston [aut], Jazmine Humphreys [aut], Steven Smith [aut]
Maintainer: Luke Yates <luke.yates@utas.edu.au>
Repository: CRAN
Date/Publication: 2025-03-13 13:20:02 UTC

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New package abms with initial version 0.1
Package: abms
Title: Augmented Bayesian Model Selection for Regression Models
Version: 0.1
Description: Tools to perform model selection alongside estimation under Linear, Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the spike-and-slab method, a probability for each possible model is estimated with the posterior mean, credibility interval, and standard deviation of coefficients and parameters under the most probable model.
License: GPL (>= 3)
URL: https://github.com/SirCornflake/BMS
Encoding: UTF-8
Imports: BayesLogit, GIGrvg, mvtnorm, truncnorm
Depends: R (>= 3.6.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-12 01:15:35 UTC; asus
Author: Francisco Segovia [aut, cre], Luis Gutierres [aut], Ramses Mena [aut]
Maintainer: Francisco Segovia <fasegovia@uc.cl>
Repository: CRAN
Date/Publication: 2025-03-13 13:10:02 UTC

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New package tinyVAST with initial version 1.0.0
Package: tinyVAST
Title: Multivariate Spatio-Temporal Models using Structural Equations
Version: 1.0.0
Date: 2025-03-10
Description: Fits a wide variety of multivariate spatio-temporal models with simultaneous and lagged interactions among variables (including vector autoregressive spatio-temporal ('VAST') dynamics) for areal, continuous, or network spatial domains. It includes time-variable, space-variable, and space-time-variable interactions using dynamic structural equation models ('DSEM') as expressive interface, and the 'mgcv' package to specify splines via the formula interface. See Thorson et al. (2024) <doi:10.48550/arXiv.2401.10193> for more details.
License: GPL-3
Depends: R (>= 4.1.0)
Imports: corpcor, fmesher, igraph, Matrix (>= 1.3.0), methods, mgcv, sem, sf, sfnetworks, TMB (>= 1.9.17), units, checkmate, abind, sdmTMB
Suggests: dsem (>= 1.1.0), ggplot2, knitr, lattice, mvtnorm, pdp, rmarkdown, rnaturalearth, rnaturalearthdata, testthat, tweedie, viridisLite, visreg, plyr, DHARMa, glmmTMB, tibble
LinkingTo: RcppEigen, TMB
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://vast-lib.github.io/tinyVAST/
BugReports: https://github.com/vast-lib/tinyVAST/issues
NeedsCompilation: yes
Packaged: 2025-03-10 17:36:28 UTC; James.Thorson
Author: James T. Thorson [aut, cre] , Sean C. Anderson [aut]
Maintainer: James T. Thorson <James.Thorson@noaa.gov>
Repository: CRAN
Date/Publication: 2025-03-13 12:40:02 UTC

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New package sbim with initial version 1.0.0
Package: sbim
Title: Simulation-Based Inference using a Metamodel for Log-Likelihood Estimator
Version: 1.0.0
Description: Parameter inference methods for models defined implicitly using a random simulator. Inference is carried out using simulation-based estimates of the log-likelihood of the data. The inference methods implemented in this package are explained in Park, J. (2025) <doi:10.48550/arxiv.2311.09446>. These methods are built on a simulation metamodel which assumes that the estimates of the log-likelihood are approximately normally distributed with the mean function that is locally quadratic around its maximum. Parameter estimation and uncertainty quantification can be carried out using the ht() function (for hypothesis testing) and the ci() function (for constructing a confidence interval for one-dimensional parameters).
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, stats
Suggests: devtools, dplyr, ggplot2, knitr, magrittr, pomp, rmarkdown, tidyr
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2025-03-11 16:31:09 UTC; j139p002_a
Author: Joonha Park [aut, cre]
Maintainer: Joonha Park <j.park@ku.edu>
Repository: CRAN
Date/Publication: 2025-03-13 12:50:02 UTC

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New package RcppColMetric with initial version 0.1.0
Package: RcppColMetric
Title: Efficient Column-Wise Metric Computation Against Common Vector
Version: 0.1.0
Description: In data science, it is a common practice to compute a series of columns (e.g. features) against a common response vector. Various metrics are provided with efficient computation implemented with 'Rcpp'.
License: MIT + file LICENSE
Suggests: caTools, infotheo, magrittr, MASS, microbenchmark, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/zhuxr11/RcppColMetric
BugReports: https://github.com/zhuxr11/RcppColMetric/issues
LinkingTo: Rcpp
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2025-03-11 15:29:29 UTC; Admin
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6@163.com>
Repository: CRAN
Date/Publication: 2025-03-13 12:40:09 UTC

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New package mvPot with initial version 0.1.7
Package: mvPot
Title: Multivariate Peaks-over-Threshold Modelling for Spatial Extreme Events
Version: 0.1.7
Description: Tools for high-dimensional peaks-over-threshold inference and simulation of Brown-Resnick and extremal Student spatial extremal processes. These include optimization routines based on censored likelihood and gradient scoring, and exact simulation algorithms for max-stable and multivariate Pareto distributions based on rejection sampling. Fast multivariate Gaussian and Student distribution functions using separation-of-variable algorithm with quasi Monte Carlo integration are also provided. Key references include de Fondeville and Davison (2018) <doi:10.1093/biomet/asy026>, Thibaud and Opitz (2015) <doi:10.1093/biomet/asv045>, Wadsworth and Tawn (2014) <doi:10.1093/biomet/ast042> and Genz and Bretz (2009) <doi:10.1007/978-3-642-01689-9>.
License: GPL-2
Imports: MASS, evd, numbers, gmp
Encoding: UTF-8
URL: https://github.com/r-fndv/mvPot
NeedsCompilation: yes
Packaged: 2025-03-11 18:21:06 UTC; lbelzile
Author: Raphael de Fondeville [aut] , Leo Belzile [aut, cre] , Emeric Thibaud [ctb]
Maintainer: Leo Belzile <belzilel@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-13 13:00:07 UTC

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New package GenHMM1d with initial version 0.2.1
Package: GenHMM1d
Title: Goodness-of-Fit for Zero-Inflated Univariate Hidden Markov Models
Version: 0.2.1
Description: Inference, goodness-of-fit tests, and predictions for continuous and discrete univariate Hidden Markov Models (HMM), including zero-inflated distributions. The goodness-of-fit test is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Nasri et al (2020) <doi:10.1029/2019WR025122>.
License: GPL-3
Encoding: UTF-8
Maintainer: Bouchra R. Nasri <bouchra.nasri@umontreal.ca>
Depends: R (>= 3.5.0), doParallel, parallel, foreach
Imports: ggplot2, stats, matrixcalc, reshape2, rmutil, VaRES, VGAM, EnvStats, GLDEX, GeneralizedHyperbolic, actuar, extraDistr, gamlss.dist, sgt, skewt, sn, ssdtools, stabledist
NeedsCompilation: no
Packaged: 2025-03-11 09:43:46 UTC; 49009427
Author: Bouchra R. Nasri [aut, cre, cph], Mamadou Yamar Thioub [aut, cph], Bruno N. Remillard [aut, cph]
Repository: CRAN
Date/Publication: 2025-03-13 12:20:02 UTC

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New package cossonet with initial version 1.0
Package: cossonet
Title: Sparse Nonparametric Regression for High-Dimensional Data
Version: 1.0
Description: Estimation of sparse nonlinear functions in nonparametric regression using component selection and smoothing. Designed for the analysis of high-dimensional data, the models support various data types, including exponential family models and Cox proportional hazards models. The methodology is based on Lin and Zhang (2006) <doi:10.1214/009053606000000722>.
License: GPL-3
Encoding: UTF-8
Imports: cosso, survival, stats, MASS, glmnet, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), usethis (>= 2.1.5), devtools
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-11 06:00:46 UTC; jieun
Author: Jieun Shin [aut, cre]
Maintainer: Jieun Shin <jieunstat@uos.ac.kr>
Repository: CRAN
Date/Publication: 2025-03-13 12:10:06 UTC

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New package cmAnalysis with initial version 1.0.0
Package: cmAnalysis
Title: Process and Visualise Concept Mapping Data
Version: 1.0.0
Author: Jos Hageman [aut, cre], Jarl Kampen [aut]
Maintainer: Jos Hageman <jos.hageman@wur.nl>
Description: Processing and visualizing concept mapping data. Concept maps are versatile tools used across disciplines to enhance understanding, teaching, brainstorming, and information organization. The analysis of concept mapping data involves the sequential use of cluster analysis (for sorting participants and statements), multidimensional scaling (for positioning statements in a conceptual space), and visualization techniques, including point cluster maps and dendrograms.
License: GPL-3
Encoding: UTF-8
Imports: cluster, ggplot2, factoextra, clue, igraph, stringr, pheatmap
NeedsCompilation: no
Packaged: 2025-03-11 14:44:40 UTC; hagem011
Repository: CRAN
Date/Publication: 2025-03-13 12:50:05 UTC

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New package clinify with initial version 0.1.2
Package: clinify
Title: Clinical Table Styling Tools and Utilities
Version: 0.1.2
Depends: R (>= 4.2)
Imports: flextable, officer, magrittr, dplyr, knitr, htmltools, tidyselect, zoo
Suggests: rmarkdown, testthat (>= 3.0.0), Tplyr, rvest, withr, xml2
Description: The primary motivation of this package is to take the things that are great about the R packages 'flextable' <https://davidgohel.github.io/flextable/> and 'officer' <https://davidgohel.github.io/officer/>, take the standard and complex pieces of formatting clinical tables for regulatory use, and simplify the tedious pieces.
License: Apache License (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://atorus-research.github.io/clinify/
NeedsCompilation: no
Packaged: 2025-03-11 00:59:23 UTC; mstackhouse
Author: Mike Stackhouse [aut, cre] , Ross Didenko [aut], Yevhenii Boiko [aut], Marat Zakirov [ctb], Roman Rogoza [ctb], Atorus Research, Inc. [cph], Incyte Corporation [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>
Repository: CRAN
Date/Publication: 2025-03-13 12:10:10 UTC

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New package censoredAIDS with initial version 0.1.0
Title: Estimation of Censored AI/QUAI Demand System via Maximum Likelihood Estimation (MLE)
Package: censoredAIDS
Version: 0.1.0
Description: Tools for estimating censored Almost Ideal (AI) and Quadratic Almost Ideal (QUAI) demand systems using Maximum Likelihood Estimation (MLE). It includes functions for calculating demand share equations and the truncated log-likelihood function for a system of equations, incorporating demographic variables. The package is designed to handle censored data, where some observations may be zero due to non-purchase of certain goods. It is particularly useful for applied researchers analyzing household consumption data.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: Matrix, mnormt, mvtnorm, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-11 15:01:18 UTC; Noe.Nava
Author: Noe J Nava [aut, cre]
Maintainer: Noe J Nava <noejnava2@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-13 12:40:06 UTC

More information about censoredAIDS at CRAN
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New package CAOP.RAA.2024 with initial version 0.0.5
Package: CAOP.RAA.2024
Title: Official Administrative Map of the Azores (CAOP 2024)
Version: 0.0.5
Description: Provides the official administrative boundaries of the Azores (Região Autónoma dos Açores (RAA)) as defined in the 2024 edition of the Carta Administrativa Oficial de Portugal (CAOP), published by the Direção-Geral do Território (DGT). The package includes convenience functions to import these boundaries as 'sf' objects for spatial analysis in R. Source: <https://geo2.dgterritorio.gov.pt/caop/CAOP_RAA_2024-gpkg.zip>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: sf, tibble, dplyr, readr, stringi, glue
Suggests: testthat (>= 3.0.0), roxygen2, knitr, rmarkdown, ggplot2
URL: https://github.com/patterninstitute/CAOP.RAA.2024, https://www.pattern.institute/CAOP.RAA.2024/
BugReports: https://github.com/patterninstitute/CAOP.RAA.2024/issues
NeedsCompilation: no
Packaged: 2025-03-11 16:50:27 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2025-03-13 13:00:11 UTC

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New package ravepipeline with initial version 0.0.1
Package: ravepipeline
Title: Reproducible Pipeline Infrastructure for Neuroscience
Version: 0.0.1
Language: en-US
Description: Defines the underlying pipeline structure for reproducible neuroscience, adopted by 'RAVE' (reproducible analysis and visualization of intracranial electroencephalography); provides high-level class definition to build, compile, set, execute, and share analysis pipelines. Both R and 'Python' are supported, with 'Markdown' and 'shiny' dashboard templates for extending and building customized pipelines. See the full documentations at <https://rave.wiki>; to cite us, check out our paper by Magnotti, Wang, and Beauchamp (2020, <doi:10.1016/j.neuroimage.2020.117341>), or run citation("ravepipeline") for details.
Copyright: Trustees of University of Pennsylvania owns the copyright of the package unless otherwise stated. Zhengjia Wang owns the copyright of all the low-level functions included in 'R/common.R', 'R/fastmap2', 'R/fastqueue2.R', 'R/filesys.R', 'R/fst.R', 'R/json.R', 'R/os_info.R', 'R/parallel.R', 'R/progress.R', 'R/simplelocker.R', 'R/yaml.R', and all the template files under 'inst/rave-pipelines' and 'inst/rave-modules', these files are licensed under 'MIT'.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://dipterix.org/ravepipeline/, https://github.com/dipterix/ravepipeline
BugReports: https://github.com/dipterix/ravepipeline/issues
Imports: utils, stats, base64url, callr, cli, digest, fastmap, future, fst (>= 0.9.8), glue, jsonlite, knitr, promises, R6, remotes, rlang, targets, uuid, yaml
Suggests: filearray, future.apply, globals, ieegio, rpymat, rmarkdown, rstudioapi, shidashi, threeBrain, testthat (>= 3.0.0), visNetwork
NeedsCompilation: no
Packaged: 2025-03-10 21:34:33 UTC; dipterix
Author: Zhengjia Wang [aut, cre, cph], John Magnotti [ctb, res], Xiang Zhang [ctb, res], Michael Beauchamp [ctb, res], Trustees of University of Pennsylvania [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-13 12:00:02 UTC

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Wed, 12 Mar 2025

New package VizTest with initial version 0.3
Package: VizTest
Title: Optimal Confidence Intervals for Visual Testing
Version: 0.3
Description: Identifies the optimal confidence level to represent the results of a set of pairwise tests as suggested by Armstrong and Poirier (2025) <doi:10.1017/pan.2024.24>.
Depends: R (>= 4.1.0), dplyr, ggplot2, HDInterval
Suggests: carData, collapse, knitr, lme4, marginaleffects, patchwork, rmarkdown, sandwich, tidyr, wooldridge
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-10 20:06:21 UTC; david
Author: Dave Armstrong [aut, cre] , William Poirier [aut]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-12 17:40:02 UTC

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New package tcxr with initial version 0.1.0
Package: tcxr
Title: Parse and Analyze TCX Files
Version: 0.1.0
Description: Framework provides functions to parse 'Training Center XML (TCX)' files and extract key activity metrics such as total distance, total time, calories burned, maximum altitude, and power values (watts). This package is useful for analyzing workout and training data from devices that export 'TCX' format.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Imports: XML
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-10 20:08:05 UTC; iztok
Author: Iztok Jr. Fister [aut, cre, cph]
Maintainer: Iztok Jr. Fister <iztok@iztok.space>
Repository: CRAN
Date/Publication: 2025-03-12 17:30:02 UTC

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New package RIIM with initial version 2.0.0
Package: RIIM
Title: Randomization-Based Inference Under Inexact Matching
Version: 2.0.0
Description: Randomization-based inference for average treatment effects in potentially inexactly matched observational studies. It implements the inverse post-matching probability weighting framework proposed by the authors. The post-matching probability calculation follows the approach of Pimentel and Huang (2024) <doi:10.1093/jrsssb/qkae033>. The optimal full matching method is based on Hansen (2004) <doi:10.1198/106186006X137047>. The variance estimator extends the method proposed in Fogarty (2018) <doi:10.1111/rssb.12290> from the perfect randomization settings to the potentially inexact matching case. Comparisons are made with conventional methods, as described in Rosenbaum (2002) <doi:10.1007/978-1-4757-3692-2>, Fogarty (2018) <doi:10.1111/rssb.12290>, and Kang et al. (2016) <doi:10.1214/15-aoas894>.
Imports: MASS, xgboost, optmatch
Suggests: VGAM, mvtnorm
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-10 20:45:40 UTC; jiananzhu
Author: Jianan Zhu [aut, cre], Jeffrey Zhang [aut], Zijian Guo [aut], Siyu Heng [aut]
Maintainer: Jianan Zhu <jz4698@nyu.edu>
Repository: CRAN
Date/Publication: 2025-03-12 17:40:05 UTC

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New package prinsurf with initial version 1.0
Package: prinsurf
Title: Constructs Principal Surfaces
Version: 1.0
Description: Construct a principal surface that are two-dimensional surfaces that pass through the middle of a p-dimensional data set. They minimise the distance from the data points, and provide a nonlinear summary of data. The surfaces are nonparametric and their shape is suggested by the data. The formation of a surface is found using an iterative procedure which starts with a linear summary, typically with a principal component plane. Each successive iteration is a local average of the p-dimensional points, where an average is based on a projection of a point onto the nonlinear surface of the previous iteration. For more information on principal surfaces, see Ganey, R. (2019, "https://open.uct.ac.za/items/4e655d7d-d10c-481b-9ccc-801903aebfc8").
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rgl
Suggests: stats, Matrix, akima, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-10 16:26:16 UTC; raeesaganey
Author: Raeesa Ganey [aut, cre]
Maintainer: Raeesa Ganey <Raeesa.ganey@wits.ac.za>
Repository: CRAN
Date/Publication: 2025-03-12 17:30:12 UTC

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New package datapackage with initial version 0.1.1
Package: datapackage
Title: Creating and Reading Data Packages
Version: 0.1.1
Description: Open, read data from and modify Data Packages. Data Packages are an open standard for bundling and describing data sets (<https://datapackage.org>). When data is read from a Data Package care is taken to convert the data as much a possible to R appropriate data types. The package can be extended with plugins for additional data types.
BugReports: https://github.com/djvanderlaan/datapackage/issues
URL: https://github.com/djvanderlaan/datapackage
Depends: R (>= 4.1.0)
Imports: yaml, jsonlite, iso8601, utils, tools, methods
Suggests: simplermarkdown, data.table, codelist, LaF
VignetteBuilder: simplermarkdown
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-10 16:38:23 UTC; eoos
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>
Repository: CRAN
Date/Publication: 2025-03-12 17:30:16 UTC

More information about datapackage at CRAN
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New package causalreg with initial version 0.1.0
Package: causalreg
Title: Causal Generalized Linear Models
Version: 0.1.0
Description: An implementation of methods for causal discovery in a structural causal model where the conditional distribution of the target node is described by a generalized linear model conditional on its causal parents.
License: GPL-3
Encoding: UTF-8
Imports: mgcv
NeedsCompilation: no
Packaged: 2025-03-10 16:46:51 UTC; v_vin
Author: Veronica Vinciotti [aut, cre], Ernst C. Wit [aut]
Maintainer: Veronica Vinciotti <veronica.vinciotti@unitn.it>
Repository: CRAN
Date/Publication: 2025-03-12 17:30:20 UTC

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Tue, 11 Mar 2025

New package clintrialx with initial version 0.1.1
Package: clintrialx
Title: Connect and Work with Clinical Trials Data Sources
Version: 0.1.1
Maintainer: Indraneel Chakraborty <hello.indraneel@gmail.com>
Description: Are you spending too much time fetching and managing clinical trial data? Struggling with complex queries and bulk data extraction? What if you could simplify this process with just a few lines of code? Introducing 'clintrialx' - Fetch clinical trial data from sources like 'ClinicalTrials.gov' <https://clinicaltrials.gov/> and the 'Clinical Trials Transformation Initiative - Access to Aggregate Content of ClinicalTrials.gov' database <https://aact.ctti-clinicaltrials.org/>, supporting pagination and bulk downloads. Also, you can generate HTML reports based on the data obtained from the sources!
License: Apache License 2.0
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: httr, lubridate, readr, dplyr, progress, RPostgreSQL, tibble, DBI, rmarkdown
Suggests: knitr
VignetteBuilder: knitr
URL: http://www.indraneelchakraborty.com/clintrialx/, https://github.com/ineelhere/clintrialx
NeedsCompilation: no
Packaged: 2025-03-11 20:46:39 UTC; neel0
Author: Indraneel Chakraborty [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-11 23:10:15 UTC

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New package stors with initial version 1.0.1
Package: stors
Title: Step Optimised Rejection Sampling
Version: 1.0.1
Maintainer: Ahmad ALQabandi <ahmad.alqabandi@durham.ac.uk>
Description: Fast and efficient sampling from general univariate probability density functions. Implements a rejection sampling approach designed to take advantage of modern CPU caches and minimise evaluation of the target density for most samples. Many standard densities are internally implemented in 'C' for high performance, with general user defined densities also supported. A paper describing the methodology will be released soon.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: digest, microbenchmark, cli, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2
Depends: R (>= 4.2.0)
VignetteBuilder: knitr
URL: https://ahmad-alqabandi.github.io/stors/
NeedsCompilation: yes
Packaged: 2025-03-10 14:23:28 UTC; ahmad
Author: Ahmad ALQabandi [cre, aut, cph] , Louis Aslett [aut, ths, cph]
Repository: CRAN
Date/Publication: 2025-03-11 17:00:02 UTC

More information about stors at CRAN
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New package PCpluS with initial version 1.0.1
Package: PCpluS
Title: Piecewise Constant Plus Smooth Regression
Version: 1.0.1
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.12.3), changepoint, methods, Matrix
LinkingTo: Rcpp (>= 0.12.3), RcppEigen
Suggests: testthat (>= 1.0.0), glmnet
Description: Allows for nonparametric regression where one assumes that the signal is given by the sum of a piecewise constant function and a smooth function. More precisely, it implements the estimator PCpluS (piecewise constant plus smooth regression estimator) from Pein and Shah (2025) <doi:10.48550/arXiv.2112.03878>.
License: GPL-3
NeedsCompilation: yes
Packaged: 2025-03-10 12:11:53 UTC; pein
Author: Pein Florian [aut, cre]
Maintainer: Pein Florian <f.pein@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2025-03-11 16:40:06 UTC

More information about PCpluS at CRAN
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New package OxSR with initial version 1.0.0
Package: OxSR
Title: Soil Iron Oxides via Diffuse Reflectance
Version: 1.0.0
Description: Calculate the ratio of iron oxides, hematite and goethite, in soil using the diffuse reflectance technique. The Kubelka-Munk theory, second derivative analysis, and spectral region amplitudes related to hematite and goethite content are used for quantification (Torrent, J., & Barron, V. (2008) <doi:10.2136/sssabookser5.5.c13>). Additionally, the package calculates soil color in the visible spectrum using Munsell and RGB color spaces, based on color theory (Viscarra et al. (2006) <doi:10.1016/j.geoderma.2005.07.017>).
License: AGPL (>= 3)
URL: https://github.com/FGu5tav0/OxSR
BugReports: https://github.com/FGu5tav0/OxSR/issues
Depends: R (>= 4.1.0)
Imports: colorSpec, dplyr, ggplot2, grDevices, janitor, munsellinterpol, rlang, stats
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-10 14:38:59 UTC; gusta
Author: Frosi Gustavo [aut, cre] , Barron Vidal [ctb] , Inda, Alberto [ctb] , Bastiani, Kayn [ctb]
Maintainer: Frosi Gustavo <gustavofrosi@hotmail.com>
Repository: CRAN
Date/Publication: 2025-03-11 17:00:11 UTC

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New package nimbleMacros with initial version 0.1.1
Package: nimbleMacros
Version: 0.1.1
Date: 2025-03-10
Title: Macros Generating 'nimble' Code
Depends: R (>= 3.4.0), nimble
Imports: reformulas
Suggests: knitr, markdown, testthat
Description: Macros to generate 'nimble' code from a concise syntax. Included are macros for generating linear modeling code using a formula-based syntax and for building for() loops. For more details review the 'nimble' manual: <https://r-nimble.org/html_manual/cha-writing-models.html#subsec:macros>.
License: BSD_3_clause + file LICENSE | GPL (>= 2)
NeedsCompilation: no
URL: https://r-nimble.org
BugReports: https://github.com/nimble-dev/nimbleMacros/issues
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2025-03-10 14:23:26 UTC; ken
Author: Ken Kellner [cre, aut], Perry de Valpine [aut], Christopher Paciorek [aut], Daniel Turek [aut]
Maintainer: Ken Kellner <contact@kenkellner.com>
Repository: CRAN
Date/Publication: 2025-03-11 17:00:07 UTC

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New package JMbdirect with initial version 0.1.0
Package: JMbdirect
Title: Joint Model for Longitudinal and Multiple Time to Events Data
Version: 0.1.0
Imports: JMbayes2,joineRML,FastJM,rstanarm,dplyr,jmBIG
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Description: Provides model fitting, prediction, and plotting for joint models of longitudinal and multiple time-to-event data, including methods from Rizopoulos (2012) <doi:10.1201/b12208>. Useful for handling complex survival and longitudinal data in clinical research.
License: GPL-3
Encoding: UTF-8
LazyData: true
Author: Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-03-09 18:12:32 UTC; bhrigu
Repository: CRAN
Date/Publication: 2025-03-11 17:00:15 UTC

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New package IVDML with initial version 1.0.0
Package: IVDML
Title: Double Machine Learning with Instrumental Variables and Heterogeneity
Version: 1.0.0
Description: Instrumental variable (IV) estimators for homogeneous and heterogeneous treatment effects with efficient machine learning instruments. The estimators are based on double/debiased machine learning allowing for nonlinear and potentially high-dimensional control variables. Details can be found in Scheidegger, Guo and Bühlmann (2025) "Inference for heterogeneous treatment effects with efficient instruments and machine learning" <doi:10.48550/arXiv.2503.03530>.
URL: https://github.com/cyrillsch/IVDML
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: mgcv, ranger, stats, xgboost
NeedsCompilation: no
Packaged: 2025-03-10 12:55:29 UTC; scyrill
Author: Cyrill Scheidegger [aut, cre, cph]
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2025-03-11 16:40:10 UTC

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New package weatherOz with initial version 2.0.0
Package: weatherOz
Title: An API Client for Australian Weather and Climate Data Resources
Version: 2.0.0
Description: Provides automated downloading, parsing and formatting of weather data for Australia through API endpoints provided by the Department of Primary Industries and Regional Development ('DPIRD') of Western Australia and by the Science and Technology Division of the Queensland Government's Department of Environment and Science ('DES'). As well as the Bureau of Meteorology ('BOM') of the Australian government precis and coastal forecasts, and downloading and importing radar and satellite imagery files. 'DPIRD' weather data are accessed through public 'APIs' provided by 'DPIRD', <https://www.agric.wa.gov.au/weather-api-20>, providing access to weather station data from the 'DPIRD' weather station network. Australia-wide weather data are based on data from the Australian Bureau of Meteorology ('BOM') data and accessed through 'SILO' (Scientific Information for Land Owners) Jeffrey et al. (2001) <doi:10.1016/S1364-8152(01)00008-1>. 'DPIRD' data are made available under a Creative [...truncated...]
License: GPL (>= 3)
URL: https://github.com/ropensci/weatherOz/, https://docs.ropensci.org/weatherOz/
BugReports: https://github.com/ropensci/weatherOz/issues
Depends: R (>= 4.1.0)
Imports: apsimx, clock, crayon, crul, curl, data.table (>= 1.1.5), foreign, grDevices, jsonlite, knitr, lubridate, magick, methods, sf, stars, stats, terra, utils, xml2
Suggests: covr, dplyr, ggplot2, ggthemes, grid, gridExtra, mailR, mapproj, maps, rmarkdown, roxyglobals, spelling, testthat (>= 3.0.0), usethis, vcr (>= 0.6.0), vdiffr, withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-10 09:03:58 UTC; dpird-mac
Author: Rodrigo Pires [aut, cre] , Anna Hepworth [aut] , Rebecca O'Leary [aut], Jonathan Carroll [aut] , James Goldie [aut] , Dean Marchiori [aut] , Paul Melloy [aut] , Mark Padgham [aut] , Hugh Parsonage [aut] , Keith Pembleton [ctb] , Maelle Salmon [ctb] ` [...truncated...]
Maintainer: Rodrigo Pires <rodrigo.pires@dpird.wa.gov.au>
Repository: CRAN
Date/Publication: 2025-03-11 13:40:02 UTC

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Mon, 10 Mar 2025

New package tabtibble with initial version 0.0.1
Package: tabtibble
Title: Simplify Reporting Many Tables
Version: 0.0.1
Description: Simplify reporting many tables by creating tibbles of tables. With 'tabtibble', a tibble of tables is created with captions and automatic printing using 'knit_print()'.
License: GPL (>= 3)
Encoding: UTF-8
Imports: knitr, vctrs
Suggests: dplyr, glue, pander, rmarkdown, spelling, testthat (>= 3.0.0), tibble, tidyr
URL: https://github.com/humanpred/tabtibble, https://humanpred.github.io/tabtibble/
BugReports: https://github.com/humanpred/tabtibble/issues
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-09 14:29:47 UTC; bill
Author: Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Repository: CRAN
Date/Publication: 2025-03-10 16:50:02 UTC

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New package retistruct with initial version 0.8.0
Package: retistruct
License: CC BY-NC-SA 4.0
Title: Retinal Reconstruction Program
Description: Reconstructs retinae by morphing a flat surface with cuts (a dissected flat-mount retina) onto a curvilinear surface (the standard retinal shape). It can estimate the position of a point on the intact adult retina to within 8 degrees of arc (3.6% of nasotemporal axis). The coordinates in reconstructed retinae can be transformed to visuotopic coordinates. For more details see Sterratt, D. C., Lyngholm, D., Willshaw, D. J. and Thompson, I. D. (2013) <doi:10.1371/journal.pcbi.1002921>.
Version: 0.8.0
URL: http://davidcsterratt.github.io/retistruct/
BugReports: https://github.com/davidcsterratt/retistruct/issues
Date: 2025-03-07
Depends: R (>= 3.5.0)
Imports: foreign, RImageJROI, png, ttutils, sp, geometry (>= 0.4.3), RTriangle (>= 1.6-0.9), rgl, R.matlab, R6, tiff, shiny, shinyjs, shinyFiles, bslib, fs
Suggests: spelling, testthat
Language: en-GB
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-03-07 23:13:14 UTC; dcs
Author: David C. Sterratt [aut, cre, cph], Daniel Lyngholm [aut, cph], Jan Okul [aut, cph]
Maintainer: David C. Sterratt <david.c.sterratt@ed.ac.uk>
Repository: CRAN
Date/Publication: 2025-03-10 16:20:02 UTC

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New package MicrobialGrowth with initial version 1.0.0
Package: MicrobialGrowth
Title: Estimates Growth Parameters from Models and Plots the Curve
Version: 1.0.0
Maintainer: Florentin L'Homme <florentin.lhomme@gmail.com>
Description: Fit growth curves to various known microbial growth models automatically to estimate growth parameters. Growth curves can be plotted with their uncertainty band. Growth models are: modified Gompertz model (Zwietering et al. (1990) <doi:10.1128/aem.56.6.1875-1881.1990>), Baranyi model (Baranyi and Roberts (1994) <doi:10.1016/0168-1605%2894%2990157-0>), Rosso model (Rosso et al. (1993) <doi:10.1006/jtbi.1993.1099>) and linear model (Dantigny (2005) <doi:10.1016/j.ijfoodmicro.2004.10.013>).
License: GPL (>= 3)
Encoding: UTF-8
Imports: graphics, grDevices, methods, nlstools, stats, utils
Depends: R (>= 3.5.0)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-08 21:08:17 UTC; florentin
Author: Florentin L'Homme [aut, cre] , Clarisse Breard [aut]
Repository: CRAN
Date/Publication: 2025-03-10 16:40:08 UTC

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