CRANberries

Tue, 15 Jul 2025

New package temper with initial version 1.0.0
Package: temper
Title: Temporal Encoder-Masked Probabilistic Ensemble Regressor
Version: 1.0.0
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Implements a probabilistic ensemble time-series forecaster that combines an auto-encoder with a neural decision forest whose split variables are learned through a differentiable feature-mask layer. Functions are written with 'torch' tensors and provide CRPS (Continuous Ranked Probability Scores) training plus mixture-distribution post-processing.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: torch (>= 0.11.0), purrr (>= 1.0.1), imputeTS (>= 3.3), lubridate (>= 1.9.2), ggplot2 (>= 3.5.1), scales (>= 1.3.0)
URL: https://rpubs.com/giancarlo_vercellino/temper
Suggests: knitr, testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-07-10 14:15:49 UTC; gianc
Author: Giancarlo Vercellino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-07-15 11:40:02 UTC

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New package tEDM with initial version 1.0
Package: tEDM
Title: Temporal Empirical Dynamic Modeling
Version: 1.0
Description: Inferring causation from time series data through empirical dynamic modeling (EDM), with methods such as convergent cross mapping from Sugihara et al. (2012) <doi:10.1126/science.1227079>, partial cross mapping as outlined in Leng et al. (2020) <doi:10.1038/s41467-020-16238-0>, and cross mapping cardinality as described in Tao et al. (2023) <doi:10.1016/j.fmre.2023.01.007>.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/tEDM/, https://github.com/stscl/tEDM
BugReports: https://github.com/stscl/tEDM/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread, RcppArmadillo
Imports: dplyr, ggplot2, methods, Rcpp
Suggests: RcppThread, RcppArmadillo, readr, plot3D, spEDM, knitr, rmarkdown, purrr, tidyr, cowplot
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-07-11 07:30:54 UTC; 31809
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-15 12:00:02 UTC

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New package pickmax with initial version 0.1.0
Package: pickmax
Title: Split and Coalesce Duplicated Records
Version: 0.1.0
Maintainer: Sbonelo Chamane <SChamane@hsrc.ac.za>
Description: Deduplicates datasets by retaining the most complete and informative records. Identifies duplicated entries based on a specified key column, calculates completeness scores for each row, and compares values within groups. When differences between duplicates exceed a user-defined threshold, records are split into unique IDs; otherwise, they are coalesced into a single, most complete entry. Returns a list containing the original duplicates, the split entries, and the final coalesced dataset. Useful for cleaning survey or administrative data where duplicated IDs may reflect minor data entry inconsistencies.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, rlang, magrittr
NeedsCompilation: no
Packaged: 2025-07-10 13:43:34 UTC; SChamane
Author: Sbonelo Chamane [aut, cre] , Musawenkosi Mabaso [aut], Ronel Sewpaul [aut], Sean Jooste [aut], Kutloano Skhosana [aut], Khangelani Zuma [aut]
Repository: CRAN
Date/Publication: 2025-07-15 11:40:05 UTC

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New package pharmaverseadamjnj with initial version 0.0.1
Package: pharmaverseadamjnj
Title: J&J Innovative Medicine ADaM Test Data
Version: 0.0.1
Description: A set of Analysis Data Model (ADaM) datasets constructed by modifying the ADaM datasets in the 'pharmaverseadam' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Language: en-US
Depends: R (>= 3.5), pharmaverseadam
NeedsCompilation: no
Packaged: 2025-07-10 16:20:07 UTC; DTord
Author: David Munoz Tord [aut, cre], Nicholas Masel [aut], Joe Kovach [aut], Mahesh Divakaran [ctb], J&J Innovative Medicine [cph, fnd]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>
Repository: CRAN
Date/Publication: 2025-07-15 11:40:08 UTC

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New package AssumpSure with initial version 1.0.0
Package: AssumpSure
Title: 'shiny' Application for Statistical Test Assumption Checking and Guidance
Version: 1.0.0
Description: A 'shiny' application to assess statistical assumptions and guide users toward appropriate tests. The app is designed for researchers with minimal statistical training and provides diagnostics, plots, and test recommendations for a wide range of analyses. Many statistical assumptions are implemented using the package 'rstatix' (Kassambara, 2019) <doi:10.32614/CRAN.package.rstatix> and 'performance' (Lüdecke et al., 2021) <doi:10.21105/joss.03139>.
License: GPL-3
Imports: shiny, shinyjs, shinyBS, bslib, htmltools, shinyscreenshot, fontawesome, tidyverse, rstatix, knitr, compositions, car, correlation, MVN, performance, modelbased, patchwork, see, bestNormalize, DHARMa, lmerTest, MASS, nnet, broom, broom.mixed, DT, sjPlot
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-07-11 11:20:22 UTC; ahmedbargheet
Author: Ahmed Bargheet [aut, cre]
Maintainer: Ahmed Bargheet <ahmed.bargheet@yahoo.com>
Repository: CRAN
Date/Publication: 2025-07-15 12:00:11 UTC

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New package SelfControlledCaseSeries with initial version 6.0.1
Package: SelfControlledCaseSeries
Title: Self-Controlled Case Series
Version: 6.0.1
Date: 2025-07-14
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Description: Execute the self-controlled case series (SCCS) design using observational data in the OMOP Common Data Model. Extracts all necessary data from the database and transforms it to the format required for SCCS. Age and season can be modeled using splines assuming constant hazard within calendar months. Event-dependent censoring of the observation period can be corrected for. Many exposures can be included at once (MSCCS), with regularization on all coefficients except for the exposure of interest. Includes diagnostics for all major assumptions of the SCCS.
VignetteBuilder: knitr
URL: https://ohdsi.github.io/SelfControlledCaseSeries/, https://github.com/OHDSI/SelfControlledCaseSeries
BugReports: https://github.com/OHDSI/SelfControlledCaseSeries/issues
Depends: R (>= 4.1.0), Cyclops (>= 3.4.0), DatabaseConnector (>= 6.0.0), Andromeda (>= 1.0.0)
Imports: SqlRender (>= 1.16.0), dplyr (>= 1.0.0), Rcpp (>= 1.0.9), ParallelLogger (>= 3.4.0), EmpiricalCalibration, splines, ggplot2 (>= 3.4.0), methods, utils, checkmate, readr, ResultModelManager, jsonlite, digest, R6
Suggests: zip, testthat, knitr, rmarkdown, Eunomia, withr
License: Apache License 2.0
LinkingTo: Rcpp
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2025-07-15 04:08:41 UTC; schuemie
Author: Martijn Schuemie [aut, cre], Patrick Ryan [aut], Trevor Shaddox [aut], Marc Suchard [aut]
Repository: CRAN
Date/Publication: 2025-07-15 08:10:12 UTC

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New package tidysummary with initial version 0.1.0
Package: tidysummary
Title: An Elegant Approach to Summarizing Clinical Data
Version: 0.1.0
Description: Streamlines the analysis of clinical data by automatically selecting appropriate statistical descriptions and inference methods based on variable types. For method details see Motulsky H J (2016) <https://www.graphpad.com/guides/prism/10/statistics/index.htm> and d'Agostino R B (1971) <doi:10.1093/biomet/58.2.341>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: car, cli, dplyr, fBasics, glue, qqplotr, rlang, stats, stringr, tibble, tidyplots, tidyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-07-10 07:33:20 UTC; Lixiang
Author: Xiang Li [aut, cre]
Maintainer: Xiang Li <htqqdd@126.com>
Repository: CRAN
Date/Publication: 2025-07-15 07:00:02 UTC

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Mon, 14 Jul 2025

New package snc with initial version 0.1.0
Package: snc
Title: Strongest Neighbor Coherence
Version: 0.1.0
Maintainer: Kevin E. Wells <kevin.e.wells@usm.edu>
Description: Computes Strongest Neighbor Coherence (SNC), a structural diagnostic that replaces Cronbach's alpha using top-k correlation structure. For methodology, see Wells (2025) <https://github.com/TheotherDrWells/snc>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-09 20:34:33 UTC; w10105397
Author: Kevin E. Wells [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-14 17:30:02 UTC

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New package multimediate with initial version 0.1.4
Package: multimediate
Title: Causal Mediation Analysis in Presence of Multiple Mediators Uncausally Related
Version: 0.1.4
Description: Estimates key quantities in causal mediation analysis - including average causal mediation effects (indirect effects), average direct effects, total effects, and proportions mediated - in the presence of multiple uncausally related mediators. Methods are described by Jérolon et al., (2021) <doi:10.1515/ijb-2019-0088> and extended to accommodate survival outcomes as described by Domingo-Relloso et al., (2024) <doi:10.1101/2024.02.16.24302923>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://samarafk.github.io/multimediate/
Imports: rmutil, MASS, mvtnorm, stats, graphics, timereg
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-07-09 18:59:16 UTC; samara
Author: Allan Jerolon [aut], Arce Domingo-Relloso [aut], Samara Kiihl [cre, aut], Maria Tellez-Plaza [aut]
Maintainer: Samara Kiihl <samarak@unicamp.br>
Repository: CRAN
Date/Publication: 2025-07-14 17:20:02 UTC

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New package glsm with initial version 0.0.0.6
Package: glsm
Title: Saturated Model Log-Likelihood for Multinomial Outcomes
Version: 0.0.0.6
Date: 2025-07-09
Author: Jorge Villalba [aut, cre] , Humberto Llinas [aut] , Jorge Borja [aut] , Jorge Tilano [aut]
Maintainer: Jorge Villalba <jvillalba@utb.edu.co>
Description: When the response variable Y takes one of R > 1 values, the function 'glsm()' computes the maximum likelihood estimates (MLEs) of the parameters under four models: null, complete, saturated, and logistic. It also calculates the log-likelihood values for each model. This method assumes independent, non-identically distributed variables. For grouped data with a multinomial outcome, where observations are divided into J populations, the function 'glsm()' provides estimation for any number K of explanatory variables.
Depends: R (>= 3.5.0)
Imports: stats, dplyr (>= 1.0.0), ggplot2 (>= 1.0.0), VGAM (>= 1.0.0), plyr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-09 14:14:12 UTC; jvillalba
Repository: CRAN
Date/Publication: 2025-07-14 17:10:02 UTC

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New package conMItion with initial version 0.2.0
Package: conMItion
Title: Conditional Mutual Information Estimation for Multi-Omics Data
Version: 0.2.0
Description: The biases introduced in association measures, particularly mutual information, are influenced by factors such as tumor purity, mutation burden, and hypermethylation. This package provides the estimation of conditional mutual information (CMI) and its statistical significance with a focus on its application to multi-omics data. Utilizing B-spline functions (inspired by Daub et al. (2004) <doi:10.1186/1471-2105-5-118>), the package offers tools to estimate the association between heterogeneous multi- omics data, while removing the effects of confounding factors. This helps to unravel complex biological interactions. In addition, it includes methods to evaluate the statistical significance of these associations, providing a robust framework for multi-omics data integration and analysis. This package is ideal for researchers in computational biology, bioinformatics, and systems biology seeking a comprehensive tool for understanding interdependencies in omics data.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-07-09 16:03:07 UTC; gjywang
Author: Gaojianyong Wang [aut, cre]
Maintainer: Gaojianyong Wang <gjywang@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-14 17:10:05 UTC

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New package bhetGP with initial version 1.0
Package: bhetGP
Title: Bayesian Heteroskedastic Gaussian Processes
Version: 1.0
Maintainer: Parul V. Patil <parulvijay@vt.edu>
Description: Performs Bayesian posterior inference for heteroskedastic Gaussian processes. Models are trained through MCMC including elliptical slice sampling (ESS) of latent noise processes and Metropolis-Hastings sampling of kernel hyperparameters. Replicates are handled efficientyly through a Woodbury formulation of the joint likelihood for the mean and noise process (Binois, M., Gramacy, R., Ludkovski, M. (2018) <doi:10.1080/10618600.2018.1458625>) For large data, Vecchia-approximation for faster computation is leveraged (Sauer, A., Cooper, A., and Gramacy, R., (2023), <doi:10.1080/10618600.2022.2129662>). Incorporates 'OpenMP' and SNOW parallelization and utilizes 'C'/'C++' under the hood.
License: LGPL
Encoding: UTF-8
NeedsCompilation: yes
Imports: grDevices, graphics, stats, doParallel, foreach, parallel, GpGp, GPvecchia, Matrix, Rcpp, mvtnorm, FNN, hetGP, laGP
LinkingTo: Rcpp, RcppArmadillo
Suggests: interp
Packaged: 2025-07-09 17:09:04 UTC; parulvijay
Author: Parul V. Patil [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-14 17:20:10 UTC

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New package BayesMoFo with initial version 0.1.0
Package: BayesMoFo
Title: Bayesian Mortality Forecasting
Version: 0.1.0
Description: Carry out Bayesian estimation and forecasting for a variety of stochastic mortality models using vague prior distributions. Models supported include numerous well-established approaches introduced in the actuarial and demographic literature, such as the Lee-Carter (1992) <doi:10.1080/01621459.1992.10475265>, the Cairns-Blake-Dowd (2009) <doi:10.1080/10920277.2009.10597538>, the Li-Lee (2005) <doi:10.1353/dem.2005.0021>, and the Plat (2009) <doi:10.1016/j.insmatheco.2009.08.006> models. The package is designed to analyse stratified mortality data structured as a 3-dimensional array of dimensions p × A × T (strata × age × year). Stratification can represent factors such as cause of death, country, deprivation level, sex, geographic region, insurance product, marital status, socioeconomic group, or smoking behavior. While the primary focus is on analysing stratified data (p > 1), the package can also handle mortality data that are not stratified (p = 1). Model s [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Imports: rjags, insight, coda, tidyverse, dplyr, magrittr, rlang
Depends: R (>= 4.0.0)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-10 00:19:50 UTC; Jackie
Author: Jackie Siaw Tze Wong [aut, cre] , Alex Diana [ctb], Aniketh Pittea [ctb]
Maintainer: Jackie Siaw Tze Wong <jw19203@essex.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-14 17:30:06 UTC

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New package wpeR with initial version 0.1.0
Package: wpeR
Title: Streamlined Analysis of Wild Pedigree Data
Version: 0.1.0
Description: Analyzing pedigree data of wild populations. While primarily designed to process outputs from the 'COLONY' (Jones & Wang (2010) <doi:10.1111/j.1755-0998.2009.02787.x>) pedigree reconstruction software, it can also accommodate data from other sources. By linking reconstructed pedigrees with genetic sample metadata, 'wpeR' produces spatial and temporal visualizations as well as tabular summaries that support interpretation of family structures and dynamics. The main goal of the package is to provide a solution for the analysis of complex wild pedigree data and to help the user to gain insights into genetic relationships within wild animal populations.
License: GPL (>= 3)
URL: https://gr3602.github.io/wpeR/
BugReports: https://github.com/GR3602/wpeR/issues
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, sf, stats, utils
Suggests: basemaps, ggforce, ggrepel, gridExtra, kinship2, knitr, leaflet, leaflet.providers, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-09 13:06:42 UTC; gregor
Author: Tomaz Skrbinsek [aut], Gregor Simcic [aut, cre]
Maintainer: Gregor Simcic <grega0simcic@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-14 17:00:02 UTC

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New package urlexplorer with initial version 0.1.0
Package: urlexplorer
Title: Structural Analysis and Pattern Discovery in URL Datasets
Version: 0.1.0
Description: Offers tools for parsing and analyzing URL datasets, extracting key components and identifying common patterns. It aids in examining website architecture and identifying SEO issues, helping users optimize web presence and content strategy.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, rlang, stringr, tibble, tidyr
Suggests: testthat (>= 3.0.0)
URL: https://github.com/MarekProkop/urlexplorer
BugReports: https://github.com/MarekProkop/urlexplorer/issues
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-09 05:13:45 UTC; mprok
Author: Marek Prokop [aut, cre]
Maintainer: Marek Prokop <mprokop@prokopsw.cz>
Repository: CRAN
Date/Publication: 2025-07-14 16:40:02 UTC

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New package saeHB.TF.beta with initial version 0.1.0
Package: saeHB.TF.beta
Title: SAE using HB Twofold Subarea Model under Beta Distribution
Version: 0.1.0
Maintainer: Nasya Zahira Putri <nasyazp28@gmail.com>
Description: Estimates area and subarea level proportions using the Small Area Estimation (SAE) Twofold Subarea Model with a hierarchical Bayesian (HB) approach under Beta distribution. A number of simulated datasets generated for illustration purposes are also included. The 'rstan' package is employed to estimate parameters via the Hamiltonian Monte Carlo and No U-Turn Sampler algorithm. The model-based estimators include the HB mean, the variation of the mean, and quantiles. For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, and Erciulescu et al.(2019) <doi:10.1111/rssa.12390>.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), bayesplot, stringr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
URL: https://github.com/Nasyazahira/saeHB.TF.beta
BugReports: https://github.com/Nasyazahira/saeHB.TF.beta/issues
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-07-09 12:09:22 UTC; User
Author: Nasya Zahira Putri [aut, cre], Cucu Sumarni [aut]
Repository: CRAN
Date/Publication: 2025-07-14 17:00:06 UTC

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New package genderapi with initial version 1.0.3
Package: genderapi
Language: en-US
Title: Client for 'GenderAPI.io'
Version: 1.0.3
Description: Provides an interface to the 'GenderAPI.io' web service (<https://www.genderapi.io>) for determining gender from personal names, email addresses, or social media usernames. Functions are available to submit single or batch queries and retrieve additional information such as accuracy scores and country-specific gender predictions. This package simplifies integration of 'GenderAPI.io' into R workflows for data cleaning, user profiling, and analytics tasks.
License: MIT + file LICENSE
URL: https://github.com/GenderAPI/genderapi-R
BugReports: https://github.com/GenderAPI/genderapi-R/issues
Imports: httr, jsonlite
Depends: R (>= 3.5.0)
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-07-09 12:03:21 UTC; onurozturk
Author: Onur Ozturk [aut, cre]
Maintainer: Onur Ozturk <onurozturk1980@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-14 17:00:10 UTC

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New package emodnet.wfs with initial version 2.1.1
Package: emodnet.wfs
Title: Access 'EMODnet' Web Feature Service Data
Version: 2.1.1
Description: Access and interrogate 'EMODnet' (European Marine Observation and Data Network) Web Feature Service data <https://emodnet.ec.europa.eu/en/emodnet-web-service-documentation#data-download-services>. This includes listing existing data sources, and getting data from each of them.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/emodnet.wfs/, https://github.com/EMODnet/emodnet.wfs
BugReports: https://github.com/EMODnet/emodnet.wfs/issues
Depends: R (>= 4.1)
Imports: checkmate, cli, dplyr, lifecycle, memoise, ows4R (>= 0.5), purrr, rlang, sf, tibble, utils, whoami
Suggests: covr, httptest, knitr, mapview, readr, rmarkdown, testthat (>= 3.1.2), testthis, withr
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
NeedsCompilation: no
Packaged: 2025-07-09 09:02:52 UTC; maelle
Author: Joana Beja [aut, cre] , Anna Krystalli [aut] , Salvador Fernandez-Bejarano [aut] , Thomas J Webb [ctb], European Marine Observation Data Network Biology project European Commission's Directorate - General for Maritime Affairs and Fisheries [cph], V [...truncated...]
Maintainer: Joana Beja <joana.beja@vliz.be>
Repository: CRAN
Date/Publication: 2025-07-14 17:00:14 UTC

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New package clusterWebApp with initial version 0.1.3
Package: clusterWebApp
Title: Universal Clustering Analysis Platform
Version: 0.1.3
Description: An interactive platform for clustering analysis and teaching based on the 'shiny' web application framework. Supports multiple popular clustering algorithms including k-means, hierarchical clustering, DBSCAN (Density-Based Spatial Clustering of Applications with Noise), PAM (Partitioning Around Medoids), GMM (Gaussian Mixture Model), and spectral clustering. Users can upload datasets or use built-in ones, visualize clustering results using dimensionality reduction methods such as Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE), evaluate clustering quality via silhouette plots, and explore method-specific visualizations and guides. For details on implemented methods, see: Reynolds (2009, ISBN:9781598296975) for GMM; Luxburg (2007) <doi:10.1007/s11222-007-9033-z> for spectral clustering.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, shinythemes, shinycssloaders, cluster, factoextra, datasets, ggplot2, dbscan, mclust, kernlab, Rtsne, DT, dplyr, tidyr, mlbench, magrittr
NeedsCompilation: no
Packaged: 2025-07-09 11:49:37 UTC; 86136
Author: Yijin Zhou [aut, cre]
Maintainer: Yijin Zhou <yijin_zhou1116@163.com>
Repository: CRAN
Date/Publication: 2025-07-14 16:50:02 UTC

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New package argminCS with initial version 1.1.0
Package: argminCS
Title: Argmin Inference over a Discrete Candidate Set
Version: 1.1.0
Date: 2025-07-07
Description: Provides methods to construct frequentist confidence sets with valid marginal coverage for identifying the population-level argmin or argmax based on IID data. For instance, given an n by p loss matrix—where n is the sample size and p is the number of models—the CS.argmin() method produces a discrete confidence set that contains the model with the minimal (best) expected risk with desired probability. The argmin.HT() method helps check if a specific model should be included in such a confidence set. The main implemented method is proposed by Tianyu Zhang, Hao Lee and Jing Lei (2024) "Winners with confidence: Discrete argmin inference with an application to model selection".
License: MIT + file LICENSE
Encoding: UTF-8
Imports: BSDA, glue, LDATS, MASS, methods, Rdpack, stats, withr
URL: https://github.com/xu3cl4/argminCS
NeedsCompilation: no
Packaged: 2025-07-09 02:22:50 UTC; haolee
Author: Tianyu Zhang [aut], Hao Lee [aut, cre, cph], Jing Lei [aut]
Maintainer: Hao Lee <haolee@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2025-07-14 16:30:09 UTC

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Sun, 13 Jul 2025

New package automap with initial version 1.1-20
Package: automap
Version: 1.1-20
Title: Automatic Interpolation Package
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>
Description: An automatic interpolation is done by automatically estimating the variogram and then calling gstat. An overview is given by Hiemstra et al (2008) <doi:10.1016/j.cageo.2008.10.011>.
Depends: R (>= 2.10.0)
Imports: gstat, lattice, reshape, methods, ggplot2, sp, sf, stars, graphics
BugReports: https://github.com/jskoien/jskoien/issues
License: GPL
NeedsCompilation: no
Repository: CRAN
Packaged: 2025-07-11 15:29:47 UTC; skoiejo
Author: Paul Hiemstra [aut], Jon Olav Skoien [aut, cre]
Date/Publication: 2025-07-13 23:10:10 UTC

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Sat, 12 Jul 2025

New package ragnar with initial version 0.2.0
Package: ragnar
Title: Retrieval-Augmented Generation (RAG) Workflows
Version: 0.2.0
Description: Provides tools for implementing Retrieval-Augmented Generation (RAG) workflows with Large Language Models (LLM). Includes functions for document processing, text chunking, embedding generation, storage management, and content retrieval. Supports various document types and embedding providers ('Ollama', 'OpenAI'), with 'DuckDB' as the default storage backend. Integrates with the 'ellmer' package to equip chat objects with retrieval capabilities. Designed to offer both sensible defaults and customization options with transparent access to intermediate outputs. For a review of retrieval-augmented generation methods, see Gao et al. (2023) "Retrieval-Augmented Generation for Large Language Models: A Survey" <doi:10.48550/arXiv.2312.10997>.
License: MIT + file LICENSE
URL: https://ragnar.tidyverse.org/, https://github.com/tidyverse/ragnar
BugReports: https://github.com/tidyverse/ragnar/issues
Depends: R (>= 4.3.0)
Imports: blob, cli, commonmark, curl, DBI, dotty, dplyr, duckdb (>= 1.2.2), glue, httr2, methods, reticulate (>= 1.42.0), rlang (>= 1.1.0), rvest, S7, stringi, tibble, tidyr, vctrs, withr, xml2
Suggests: dbplyr, ellmer (>= 0.2.0), lifecycle, knitr, pandoc, paws.common, rmarkdown, shiny, stringr, testthat (>= 3.0.0), connectcreds, gargle
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-07-12 15:29:26 UTC; tomasz
Author: Tomasz Kalinowski [aut, cre], Daniel Falbel [aut], Posit Software, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>
Repository: CRAN
Date/Publication: 2025-07-12 21:00:02 UTC

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New package MAGEE with initial version 1.4.3
Package: MAGEE
Version: 1.4.3
Date: 2025-07-12
Title: Mixed Model Association Test for GEne-Environment Interaction
Description: Use a 'glmmkin' class object (GMMAT package) from the null model to perform generalized linear mixed model-based single-variant and variant set main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
License: GPL (>= 3)
Copyright: See COPYRIGHTS for details.
Imports: Rcpp, Matrix, parallel, MASS, foreach, GMMAT, CompQuadForm, data.table
Suggests: doMC, SeqArray, SeqVarTools, testthat
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Depends: R (>= 3.2.0)
NeedsCompilation: yes
Author: Xinyu Wang [aut], Han Chen [aut, cre], Duy Pham [aut], Kenneth Westerman [ctb], Cong Pan [aut], Eric Biggers [ctb, cph] , Tino Reichardt [ctb, cph] library), Meta Platforms, Inc. and affiliates [cph] library)
Maintainer: Han Chen <han.chen.2@uth.tmc.edu>
Packaged: 2025-07-12 01:55:23 UTC; hchen
Repository: CRAN
Date/Publication: 2025-07-12 21:00:11 UTC

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Fri, 11 Jul 2025

New package CompositionalHDDA with initial version 1.0
Package: CompositionalHDDA
Title: High Dimensional Discriminant Analysis with Compositional Data
Version: 1.0
Date: 2025-07-08
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, HDclassif, Rfast, stats
Suggests: Rfast2
Description: High dimensional discriminant analysis with compositional data is performed. The compositional data are first transformed using the alpha-transformation of Tsagris M., Preston S. and Wood A.T.A. (2011) <doi:10.48550/arXiv.1106.1451>, and then the High Dimensional Discriminant Analysis (HDDA) algorithm of Bouveyron C. Girard S. and Schmid C. (2007) <doi:10.1080/03610920701271095> is applied.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-07-08 20:13:08 UTC; mtsag
Author: Michail Tsagris [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-11 13:10:02 UTC

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New package topolow with initial version 1.0.0
Package: topolow
Title: Antigenic Mapping and Antigenic Velocity Algorithm
Version: 1.0.0
Description: An implementation of the TopoLow algorithm, a novel, physics-inspired method for antigenic cartography. TopoLow addresses significant challenges in mapping antigenic relationships, especially from sparse and noisy experimental data. The package transforms cross-reactivity and binding affinity measurements into accurate spatial representations in a phenotype space. Key features include: * Robust Mapping from Sparse Data: Effectively creates complete and consistent maps even with high proportions of missing data (e.g., >95%). * Physics-Inspired Optimization: Models antigens as particles connected by springs (for measured interactions) and subject to repulsive forces (for missing interactions), reducing the need for complex gradient computations. * Automatic Dimensionality Detection: Employs a likelihood-based approach to determine the optimal number of dimensions for the antigenic map, avoiding distortions common in methods with fixed low dimensions. * Noise and Bias Reduction: Natura [...truncated...]
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), data.table (>= 1.14.0), reshape2 (>= 1.4.4), stats, utils, plotly (>= 4.10.0), Racmacs (>= 1.1.2), parallel (>= 4.1.0), coda (>= 0.19-4), MASS, vegan, filelock, igraph, lhs, umap, gridExtra, scales, Rtsne, ggrepel, rgl (>= 1.0.0), rlang, ape
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/omid-arhami/topolow
BugReports: https://github.com/omid-arhami/topolow/issues
LazyData: true
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-07-07 16:30:10 UTC; aomid
Author: Omid Arhami [aut, cre, cph]
Maintainer: Omid Arhami <omid.arhami@uga.edu>
Repository: CRAN
Date/Publication: 2025-07-11 12:30:02 UTC

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New package tidytitanic with initial version 0.0.1
Package: tidytitanic
Title: Dataframes Based on Titanic Passengers and Crew
Version: 0.0.1
Description: A version of the Titanic survival data tailored for people analytics demonstrations and practice. While another package, 'titanic', reproduces the Kaggle competition files with minimal preprocessing, 'tidytitanic' combines the train and test datasets into the single dataset, 'passengers', for exploration and summary across all passengers. It also extracts personal identifiers—such as first names, last names, and titles from the raw 'name' field, enabling demographic analysis. The 'passengers' data does not cover the crew, but this package also provides the more bare-bones, crew-containing datasets 'tidy_titanic' and 'flat_titanic' based on the 'Titanic' data set from 'datasets' for further exploration. This human-centered data package is designed to support exploratory data analysis, feature engineering, and pedagogical use cases.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-07-07 16:50:11 UTC; evangelinereynolds
Author: Evangeline Reynolds [aut, cre]
Maintainer: Evangeline Reynolds <evangeline.mae@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-11 12:30:07 UTC

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New package pridit with initial version 1.0-4
Package: pridit
Title: Principal Component Analysis Applied to Ridit Scoring
Version: 1.0-4
Maintainer: Robert D. Lieberthal <rlieberthal@gmail.com>
Description: Implements the 'PRIDIT' (Principal Component Analysis applied to 'RIDITs') scoring system described in Brockett et al. (2002) <doi:10.1111/1539-6975.00027>. Provides functions for ridit scoring originally developed by Bross (1958) <doi:10.2307/2527727>, calculating 'PRIDIT' weights, and computing final 'PRIDIT' scores for multivariate analysis of ordinal data.
License: Apache License (>= 2)
URL: https://github.com/rlieberthal/PRIDIT
BugReports: https://github.com/rlieberthal/PRIDIT/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-07-08 16:10:02 UTC; rlieberthal
Author: Robert D. Lieberthal [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-11 13:00:02 UTC

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New package MRG with initial version 0.3.10
Package: MRG
Title: Create Non-Confidential Multi-Resolution Grids
Version: 0.3.10
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>
Imports: magrittr, parallel, terra, sf, stars, plyr, dplyr, rlang, sjmisc, vardpoor, purrr, tidyr, tidyselect, methods, ggplot2, viridis, grDevices, utils
Suggests: patchwork, knitr, rmarkdown, giscoR, bookdown, units, ggforce, kableExtra
Description: The need for anonymization of individual survey responses often leads to many suppressed grid cells in a regular grid. Here we provide functionality for creating multi-resolution gridded data, respecting the confidentiality rules, such as a minimum number of units and dominance by one or more units for each grid cell. The functions also include the possibility for contextual suppression of data. For more details see Skoien et al. (2025) <doi:10.48550/arXiv.2410.17601>.
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Depends: R (>= 3.5.0)
LazyData: true
Packaged: 2025-07-08 10:02:59 UTC; skoiejo
Author: Jon Olav Skoien [aut, cre], Nicolas Lampach [aut]
Repository: CRAN
Date/Publication: 2025-07-11 13:00:09 UTC

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New package MeasurementDiagnostics with initial version 0.0.1
Package: MeasurementDiagnostics
Title: Diagnostics for Lists of Codes Based on Measurements
Version: 0.0.1
Description: Diagnostics of list of codes based on concepts from the domains measurement and observation. This package works for data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Imports: cli, CohortConstructor (>= 0.4.0), DBI, dplyr, magrittr, omopgenerics (>= 1.2.0), PatientProfiles (>= 1.4.0), purrr, rlang, tidyr
Suggests: CDMConnector (>= 2.0.0), CodelistGenerator (>= 3.5.0), visOmopResults (>= 1.0.2), duckdb, knitr, omock (>= 0.4.0), rmarkdown, testthat, ggplot2, gt, flextable, RPostgres, lubridate, odbc
Depends: R (>= 4.1)
License: Apache License (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-08 15:29:30 UTC; nuriamb
Author: Edward Burn [aut] , Nuria Mercade-Besora [aut, cre] , Marta Alcalde-Herraiz [aut]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-11 13:00:05 UTC

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New package mantar with initial version 0.1.0
Package: mantar
Title: Missingness Alleviation for Network Analysis
Version: 0.1.0
Description: Provides functionality for estimating cross-sectional network structures representing partial correlations in R, while accounting for missing values in the data. Networks are estimated via neighborhood selection, i.e., node-wise multiple regression, with model selection guided by information criteria. Missing data can be handled primarily via multiple imputation or a maximum likelihood-based approach; deletion techniques are available but secondary <doi:10.31234/osf.io/qpj35>.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: stats
Suggests: mice, lavaan, qgraph, testthat (>= 3.0.0)
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-07-07 20:20:27 UTC; nehler
Author: Kai Jannik Nehler [aut, cre]
Maintainer: Kai Jannik Nehler <nehler@psych.uni-frankfurt.de>
Repository: CRAN
Date/Publication: 2025-07-11 12:40:02 UTC

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New package LoTTA with initial version 0.1.0
Package: LoTTA
Title: Bayesian Inference in Regression Discontinuity Designs
Version: 0.1.0
Description: Implementation of the LoTTA (Local Trimmed Taylor Approximation) model described in "Bayesian Regression Discontinuity Design with Unknown Cutoff" by Kowalska, van de Wiel, van der Pas (2024) <doi:10.48550/arXiv.2406.11585>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats, bayestestR, utils
Depends: R (>= 4.4.0), runjags, ggplot2, ggpubr
NeedsCompilation: no
Packaged: 2025-07-07 15:29:27 UTC; juliakowalska
Author: Julia Kowalska [aut, cre, cph]
Maintainer: Julia Kowalska <j.m.kowalska@vu.nl>
Repository: CRAN
Date/Publication: 2025-07-11 12:20:02 UTC

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New package junco with initial version 0.1.1
Package: junco
Title: Create Common Tables and Listings Used in Clinical Trials
Version: 0.1.1
Date: 2025-06-20
Description: Structure and formatting requirements for clinical trial table and listing outputs vary between pharmaceutical companies. 'junco' provides additional tooling for use alongside the 'rtables', 'rlistings' and 'tern' packages when creating table and listing outputs. While motivated by the specifics of Johnson and Johnson Clinical and Statistical Programming's table and listing shells, 'junco' provides functionality that is general and reusable. Major features include a) alternative and extended statistical analyses beyond what 'tern' supports for use in standard safety and efficacy tables, b) a robust production-grade Rich Text Format (RTF) exporter for both tables and listings, c) structural support for spanning column headers and risk difference columns in tables, and d) robust font-aware automatic column width algorithms for both listings and tables.
License: Apache License (>= 2)
URL: https://github.com/johnsonandjohnson/junco, https://johnsonandjohnson.github.io/junco/
BugReports: https://github.com/johnsonandjohnson/junco/issues
Depends: R (>= 4.4), formatters (>= 0.5.6), rtables (>= 0.6.13)
Imports: tidytlg (>= 0.1.5), tern (>= 0.9.9), rlistings (>= 0.2.11), checkmate (>= 2.1.0), broom, methods, dplyr, generics, stats, survival, tibble, utils, emmeans, mmrm, rbmi (>= 1.3.0), assertthat
Encoding: UTF-8
Language: en-US
Suggests: knitr, rmarkdown, forcats (>= 1.0.0), testthat (>= 3.0.0), mockery, parallel, readxl, pharmaverseadam, rlang
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-08 02:42:37 UTC; gbecker
Author: Gabriel Becker [cre, aut] , Ilse Augustyns [aut], Paul Jenkins [aut], Daniel Hofstaedter [aut], Joseph Kovach [aut], David Munoz Tord [aut], Daniel Sabanes Bove [aut], Ezequiel Anokian [ctb], Renfei Mao [ctb], Mrinal Das [ctb], Isaac Gravestock [cph] [...truncated...]
Maintainer: Gabriel Becker <gabembecker@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-11 12:50:06 UTC

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New package fusedTree with initial version 1.0.1
Package: fusedTree
Title: Fused Partitioned Regression for Clinical and Omics Data
Version: 1.0.1
Description: Fit (generalized) linear regression models in each leaf node of a tree. The tree is constructed using clinical variables only. The linear regression models are constructed using (high-dimensional) omics variables only. The leaf-node-specific regression models are estimated using the penalized likelihood including a standard ridge (L2) penalty and a fusion penalty that links the leaf-node-specific regression models to one another. The intercepts of the leaf nodes reflect the effects of the clinical variables and are left unpenalized. The tree, fitted with the clinical variables only, should be constructed outside of the package with the 'rpart' 'R' package. See Goedhart and others (2024) <doi:10.48550/arXiv.2411.02396> for details on the method.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Matrix, splitTools, survival, treeClust
Suggests: rpart
NeedsCompilation: no
Packaged: 2025-07-07 16:52:44 UTC; P072713
Author: Jeroen M. Goedhart [aut, cre, cph] , Wessel N. van Wieringen [aut] , Thomas Klausch [ths], Mark A. van de Wiel [ths], Hanarth Fonds [fnd]
Maintainer: Jeroen M. Goedhart <jeroengoed@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-11 12:30:10 UTC

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New package armaOptions with initial version 1.0.0
Package: armaOptions
Title: ARMA Models to Value Stock Options
Version: 1.0.0
Maintainer: Brian MacCarvill <brianmaccarvills@gmail.com>
Description: Providing ways to estimate the value of European stock options given historical stock price data. It includes functions for calculating option values based on autoregressive–moving-average (ARMA) models and generates information about these models. This package is make to be easy to understand and for financial analysis capabilities.
License: GPL-3
Encoding: UTF-8
Imports: forecast, stats
NeedsCompilation: no
Packaged: 2025-07-07 19:32:26 UTC; brian
Author: Brian MacCarvill [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-11 12:40:06 UTC

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New package ArctosR with initial version 0.1.0
Package: ArctosR
Title: An Interface to the 'Arctos' Database
Version: 0.1.0
Maintainer: Harlan Williams <harlanrhwilliams@gmail.com>
Date: 2025-6-30
Description: Performs requests to the 'Arctos' API to download data. Provides a set of builder classes for performing complex requests, as well as a set of simple functions for automating many common requests and workflows. More information about 'Arctos' can be found in Cicero et al. (2024) <doi:10.1371/journal.pone.0296478> or on their website <https://arctosdb.org/>.
URL: https://github.com/hrhwilliams/arctosr
BugReports: https://github.com/hrhwilliams/arctosr/issues
Depends: R (>= 4.1.0)
License: GPL-3
Encoding: UTF-8
Imports: R6 (>= 2.5.1), curl (>= 5.0.0), jsonlite (>= 1.8.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-07 16:57:59 UTC; harla
Author: Harlan Williams [aut, cre], Marlon E. Cobos [aut], Jocelyn P. Colella [aut], Michelle S. Koo [aut], Vijay Barve [aut]
Repository: CRAN
Date/Publication: 2025-07-11 12:40:13 UTC

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New package jrSiCKLSNMF with initial version 1.2.3
Package: jrSiCKLSNMF
Title: Multimodal Single-Cell Omics Dimensionality Reduction
Version: 1.2.3
Description: Methods to perform Joint graph Regularized Single-Cell Kullback-Leibler Sparse Non-negative Matrix Factorization ('jrSiCKLSNMF', pronounced "junior sickles NMF") on quality controlled single-cell multimodal omics count data. 'jrSiCKLSNMF' specifically deals with dual-assay scRNA-seq and scATAC-seq data. This package contains functions to extract meaningful latent factors that are shared across omics modalities. These factors enable accurate cell-type clustering and facilitate visualizations. Methods for pre-processing, clustering, and mini-batch updates and other adaptations for larger datasets are also included. For further details on the methods used in this package please see Ellis, Roy, and Datta (2023) <doi:10.3389/fgene.2023.1179439>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.9), igraph, umap, kknn, ggplot2, methods, stats, rlang, Matrix, data.table,parallel,pbapply,cluster,MASS,clValid,factoextra, foreach,irlba,scran,Rdpack,ggrepel
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-07-11 09:06:41 UTC; dorothyellis
Author: Dorothy Ellis [aut, cre] , Susmita Datta [ths], Kenneth Perkins [ctb] , Renaud Gaujoux [ctb]
Maintainer: Dorothy Ellis <ddemoreellis@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-07-11 10:10:02 UTC

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New package spinebil with initial version 0.1.6
Package: spinebil
Title: Investigating New Projection Pursuit Index Functions
Version: 0.1.6
Description: Projection pursuit is used to find interesting low-dimensional projections of high-dimensional data by optimizing an index over all possible projections. The 'spinebil' package contains methods to evaluate the performance of projection pursuit index functions using tour methods. A paper describing the methods can be found at <doi:10.1007/s00180-020-00954-8>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: tourr, ggplot2, tibble, stats, dplyr, tidyr, tictoc, cassowaryr
Suggests: minerva, testthat, purrr
NeedsCompilation: no
Packaged: 2025-07-11 05:07:34 UTC; tras0007
Author: Ursula Laa [aut] , Dianne Cook [aut] , Tina Rashid Jafari [aut, cre]
Maintainer: Tina Rashid Jafari <tina.rashidjafari@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-11 08:20:02 UTC

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New package ironseed with initial version 0.1.0
Package: ironseed
Title: Improved Random Number Generator Seeding
Version: 0.1.0
Description: A procedure for seeding R's built in random number generators using a variable-length sequence of values. Accumulates input entropy into a 256-bit hash digest or "ironseed" and is able to generate a variable-length sequence of output seeds from an ironseed.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
Biarch: TRUE
NeedsCompilation: yes
URL: https://github.com/reedacartwright/ironseed
BugReports: https://github.com/reedacartwright/ironseed/issues
Suggests: tinytest
Packaged: 2025-07-06 21:50:57 UTC; reed
Author: Reed Cartwright [aut, cre]
Maintainer: Reed Cartwright <racartwright@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-11 08:40:02 UTC

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Thu, 10 Jul 2025

New package ragtop with initial version 1.2.0
Package: ragtop
Title: Pricing Equity Derivatives with Extensions of Black-Scholes
Version: 1.2.0
Date: 2025-07-09
Description: Algorithms to price American and European equity options, convertible bonds and a variety of other financial derivatives. It uses an extension of the usual Black-Scholes model in which jump to default may occur at a probability specified by a power-law link between stock price and hazard rate as found in the paper by Takahashi, Kobayashi, and Nakagawa (2001) <doi:10.3905/jfi.2001.319302>. We use ideas and techniques from Andersen and Buffum (2002) <doi:10.2139/ssrn.355308> and Linetsky (2006) <doi:10.1111/j.1467-9965.2006.00271.x>.
Depends: limSolve (>= 2.0.1), futile.logger (>= 1.4.1), R (>= 3.5), methods (>= 3.2.2)
Suggests: testthat, roxygen2, knitr, rmarkdown, reshape2, stringr, ggplot2, MASS, RColorBrewer, BondValuation, R.cache, lubridate, treasury
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-10 20:18:25 UTC; brian
Author: Brian K. Boonstra [aut, cre]
Maintainer: Brian K. Boonstra <ragtop@boonstra.org>
Repository: CRAN
Date/Publication: 2025-07-10 21:40:02 UTC

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New package hakaiApi with initial version 1.0.5
Package: hakaiApi
Title: Authenticated HTTP Request Client for the 'Hakai' API
Version: 1.0.5
Description: Initializes a class that obtains API credentials and provides a method to use those credentials to make GET requests to the 'Hakai' API server. Usage instructions are documented at <https://hakaiinstitute.github.io/hakai-api/>.
License: MIT + file LICENSE
URL: https://github.com/HakaiInstitute/hakai-api-client-r
BugReports: https://github.com/HakaiInstitute/hakai-api-client-r/issues
Depends: R (>= 4.2.0)
Imports: dplyr, httr2, R6, readr, tibble
Suggests: knitr, markdown, rmarkdown, withr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-CA
NeedsCompilation: no
Packaged: 2025-07-10 18:37:05 UTC; sam.albers
Author: Sam Albers [aut, cre], Taylor Denouden [aut], Brett Johnson [aut], Nate Rosenstock [ctb], Chris Davis [ctb], Hakai Institute [cph]
Maintainer: Sam Albers <sam.albers@hakai.org>
Repository: CRAN
Date/Publication: 2025-07-10 21:40:13 UTC

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New package risk.assessr with initial version 2.0.0
Package: risk.assessr
Title: Assessing Package Risk Metrics
Version: 2.0.0
Description: Provides a structured approach to assess the quality and trustworthiness of R packages (documentation, testing, popularity, dependencies), supporting informed decisions in production or research by highlighting strengths and potential risks in adoption or development.
License: GPL (>= 2)
URL: https://sanofi-public.github.io/risk.assessr/
BugReports: https://github.com/Sanofi-Public/risk.assessr/issues
Depends: R (>= 4.1.0)
Imports: remotes, callr, checkmate, covr, desc, devtools, dplyr, fs, methods, purrr, rcmdcheck, rlang, xml2, stringr, tidyr, utils, curl, gh, jsonlite
Suggests: forcats, glue, here, htmltools, kableExtra, knitr, magrittr, openxlsx, readr, roxygen2, testthat (>= 3.0.0), tidyselect, tools, rmarkdown, withr, mockery
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-07 14:25:15 UTC; u1004798
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>
Repository: CRAN
Date/Publication: 2025-07-10 15:20:02 UTC

More information about risk.assessr at CRAN
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New package pvEBayes with initial version 0.1.1
Package: pvEBayes
Title: Empirical Bayes Methods for Pharmacovigilance
Version: 0.1.1
Maintainer: Yihao Tan <yihaotan@buffalo.edu>
Description: A suite of empirical Bayes methods to use in pharmacovigilance. Contains various model fitting and post-processing functions. For more details see Tan et al. (2025) <doi:10.48550/arXiv.2502.09816>, Koenker and Mizera (2014) <doi:10.1080/01621459.2013.869224> and Efron (2016) <doi:10.1093/biomet/asv068>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: data.table, ggdist, ggfittext, ggplot2, glue, graphics, magrittr, methods, SobolSequence, stats, wacolors, Rcpp, REBayes, splines
LinkingTo: Rcpp, RcppEigen
LazyData: true
Suggests: testthat (>= 3.0.0), Rmosek
URL: https://github.com/YihaoTancn/pvEBayes
BugReports: https://github.com/YihaoTancn/pvEBayes/issues
NeedsCompilation: yes
Packaged: 2025-07-03 14:41:00 UTC; yihao
Author: Yihao Tan [aut, cre] , Marianthi Markatou [aut] , Saptarshi Chakraborty [aut] , Raktim Mukhopadhyay [aut]
Repository: CRAN
Date/Publication: 2025-07-10 15:20:06 UTC

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New package IBclust with initial version 1.2
Package: IBclust
Title: Information Bottleneck Methods for Clustering Mixed-Type Data
Version: 1.2
Description: Implements multiple variants of the Information Bottleneck ('IB') method for clustering datasets containing mixed-type variables (nominal, ordinal, and continuous). The package provides deterministic, agglomerative, generalized, and standard 'IB' clustering algorithms that preserve relevant information while forming interpretable clusters. The Deterministic Information Bottleneck is described in Costa et al. (2024) <doi:10.48550/arXiv.2407.03389>. The standard 'IB' method originates from Tishby et al. (2000) <doi:10.48550/arXiv.physics/0004057>, the agglomerative variant from Slonim and Tishby (1999) <https://papers.nips.cc/paper/1651-agglomerative-information-bottleneck>, and the generalized 'IB' for Gaussian variables from Chechik et al. (2005) <https://www.jmlr.org/papers/volume6/chechik05a/chechik05a.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp, stats, utils, np, rje, Rdpack, RcppEigen
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
NeedsCompilation: yes
Packaged: 2025-07-07 14:57:58 UTC; amarkos
Author: Efthymios Costa [aut], Ioanna Papatsouma [aut], Angelos Markos [aut, cre]
Maintainer: Angelos Markos <amarkos@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-10 15:20:16 UTC

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New package g6R with initial version 0.1.0
Package: g6R
Title: Graph Visualisation Engine Widget for R and 'shiny' Apps
Version: 0.1.0
Description: Create stunning network experiences powered by the 'G6' graph visualisation engine 'JavaScript' library <https://g6.antv.antgroup.com/en>. In 'shiny' mode, modify your graph directly from the server function to dynamically interact with nodes and edges. Select your favorite layout among 20 choices. 15 behaviors are available such as interactive edge creation, collapse-expand and brush select. 17 plugins designed to improve the user experience such as a mini-map, toolbars and grid lines. Customise the look and feel of your graph with comprehensive options for nodes, edges and more.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/cynkra/g6R, https://cynkra.github.io/g6R/
BugReports: https://github.com/cynkra/g6R/issues
Imports: htmlwidgets, shiny
Suggests: knitr, rmarkdown, quarto, igraph, roxy.shinylive, testthat (>= 3.0.0), stringr, htmltools, bslib
VignetteBuilder: quarto, knitr
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-07 14:24:23 UTC; davidgranjon
Author: David Granjon [aut, cre], David Schoch [aut], cynkra GmbH [fnd], Bristol Myers Squibb [fnd]
Maintainer: David Granjon <dgranjon@ymail.com>
Repository: CRAN
Date/Publication: 2025-07-10 15:10:02 UTC

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New package ConFluxPro with initial version 1.3.1
Package: ConFluxPro
Title: Soil Gas Analysis and Flux Modeling
Version: 1.3.1
Description: Model soil gas fluxes with the Flux-Gradient Method. It includes functions for data handling, a forward and an inverse model for flux modeling and methods for calibration and uncertainty estimation. For more details see Gartiser et al. (2025a) <doi:10.21105/joss.08094> and Gartiser et al. (2025b) <doi:10.1111/ejss.70126>.
Imports: stats (>= 4.1.0), lubridate (>= 1.9.2), tibble (>= 3.0.1), dplyr (>= 1.1.1), magrittr (>= 2.0.3), splines (>= 4.1.0), tidyr (>= 1.3.0), rlang (>= 1.1.0), furrr (>= 0.2.3), progressr (>= 0.10.0), ggplot2 (>= 3.4.2), scales (>= 1.2.1), lifecycle
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Suggests: rmarkdown, testthat (>= 3.0.0), knitr, DiagrammeR, purrr
VignetteBuilder: knitr, rmarkdown
URL: https://confluxpro.valentingartiser.de/, https://github.com/valentingar/ConFluxPro, https://valentingar.github.io/ConFluxPro/
BugReports: https://github.com/valentingar/ConFluxPro/issues
NeedsCompilation: no
Packaged: 2025-07-07 15:31:14 UTC; Valentin.Gartiser
Author: Valentin Gartiser [aut, cre, cph] , Martin Maier [ctb] , Verena Lang [ctb]
Maintainer: Valentin Gartiser <code@valentingartiser.de>
Repository: CRAN
Date/Publication: 2025-07-10 15:20:21 UTC

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New package RBaM with initial version 1.0.1
Package: RBaM
Title: Bayesian Modeling: Estimate a Computer Model and Make Uncertain Predictions
Version: 1.0.1
Description: An interface to the 'BaM' (Bayesian Modeling) engine, a 'Fortran'-based executable aimed at estimating a model with a Bayesian approach and using it for prediction, with a particular focus on uncertainty quantification. Classes are defined for the various building blocks of 'BaM' inference (model, data, error models, Markov Chain Monte Carlo (MCMC) samplers, predictions). The typical usage is as follows: (1) specify the model to be estimated; (2) specify the inference setting (dataset, parameters, error models...); (3) perform Bayesian-MCMC inference; (4) read, analyse and use MCMC samples; (5) perform prediction experiments. Technical details are available (in French) in Renard (2017) <https://hal.science/hal-02606929v1>. Examples of applications include Mansanarez et al. (2019) <doi:10.1029/2018WR023389>, Le Coz et al. (2021) <doi:10.1002/hyp.14169>, Perret et al. (2021) <doi:10.1029/2020WR027745>, Darienzo et al. (2021) <doi:10.1029/2020WR028607> and Pe [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/BaM-tools/RBaM
BugReports: https://github.com/BaM-tools/RBaM/issues
Depends: R (>= 4.0.0)
Imports: ggplot2, gridExtra, R.utils, utils, grDevices, stats, rjson, rlang, tools, tidyr
Suggests: rmarkdown
NeedsCompilation: no
Packaged: 2025-07-07 06:13:29 UTC; brenard
Author: Benjamin Renard [aut, cre, cph] , INRAE [fnd], Ministere de la Transition Ecologique - SCHAPI [fnd]
Maintainer: Benjamin Renard <benjamin.renard@inrae.fr>
Repository: CRAN
Date/Publication: 2025-07-10 14:40:05 UTC

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New package predictsr with initial version 0.1.0
Package: predictsr
Title: Access the 'PREDICTS' Biodiversity Database
Version: 0.1.0
Description: Fetches the 'PREDICTS' database and relevant metadata from the Data Portal at the Natural History Museum, London <https://data.nhm.ac.uk>. Data were collated from over 400 existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from sites around the world. These data are described in Hudson et al. (2013) <doi:10.1002/ece3.2579>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glue, httr2, jsonlite, logger
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://biodiversity-futures-lab.github.io/predictsr/
NeedsCompilation: no
Packaged: 2025-07-07 10:15:10 UTC; connd
Author: Connor Duffin [aut, cre, cph]
Maintainer: Connor Duffin <connor.p.duffin@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-10 14:50:02 UTC

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New package ggtranslate with initial version 0.1.0
Package: ggtranslate
Title: A 'ggplot2' Extension for Translating Plot Text
Version: 0.1.0
Maintainer: Mathias Leroy <mathias.leroy.rpkg@gmail.com>
Description: Provides a simple way to translate text elements in 'ggplot2' plots using a dictionary-based approach.
Encoding: UTF-8
URL: https://github.com/mathiasleroy/ggtranslate
BugReports: https://github.com/mathiasleroy/ggtranslate/issues
Imports: ggplot2, rlang
Suggests: testthat (>= 3.0.0)
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-07-07 11:40:16 UTC; mleroy
Author: Mathias Leroy [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-10 15:00:02 UTC

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New package dynafluxr with initial version 1.0.1
Package: dynafluxr
Title: Retrieve Reaction Rate Dynamics from Metabolite Concentration Time Courses
Version: 1.0.1
Description: Reaction rate dynamics can be retrieved from metabolite concentration time courses. User has to provide corresponding stoichiometric matrix but not a regulation model (Michaelis-Menten or similar). Instead of solving an ordinary differential equation (ODE) system describing the evolution of concentrations, we use B-splines to catch the concentration and rate dynamics then solve a least square problem on their coefficients with non-negativity (and optionally monotonicity) constraints. Constraints can be also set on initial values of concentration. The package 'dynafluxr' can be used as a library but also as an application with command line interface dynafluxr::cli("-h") or graphical user interface dynafluxr::gui().
License: GPL-2
Encoding: UTF-8
Depends: bspline (>= 2.5.0), nlsic (>= 1.1.1)
Imports: optparse, qpdf, arrApply, slam, gmresls (>= 0.2), shiny, shinyjs, shinyFiles
Suggests: RUnit, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-07 08:27:14 UTC; sokol
Author: Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>
Repository: CRAN
Date/Publication: 2025-07-10 14:50:09 UTC

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New package bootLRTpairwise with initial version 0.2.0
Package: bootLRTpairwise
Title: Bootstrap Hypothesis Tests for Treatment Effects in One-Way ANOVA with Unequal Variances
Version: 0.2.0
Maintainer: Sagar Salvi <sagarsalvi2713@gmail.com>
Description: Implements three test procedures using bootstrap resampling techniques for assessing treatment effects in one-way ANOVA models with unequal variances (heteroscedasticity). It includes a parametric bootstrap likelihood ratio test (PB_LRT()), a pairwise parametric bootstrap mean test (PPBMT()), and a Rademacher wild pairwise non-parametric bootstrap test (RWPNPBT()). These methods provide robust alternatives to classical ANOVA and standard pairwise comparisons when the assumption of homogeneity of variances is violated.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-07-07 08:51:13 UTC; sagar
Author: Sagar Salvi [aut, cre], Diya Somichan [aut], Anjana Mondal [aut]
Repository: CRAN
Date/Publication: 2025-07-10 14:40:02 UTC

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Wed, 09 Jul 2025

New package TwoPhaseCorR with initial version 1.0.0
Package: TwoPhaseCorR
Title: Construction and Analysis of Two-Phase Experimental Designs with Correlated Errors
Version: 1.0.0
Maintainer: Akhilesh Jha <jha.akhilesh09@gmail.com>
Description: Tools for constructing and analyzing two-phase experimental designs under correlated error structures. Includes cyclic constructions of designs and computes information matrices for Phase I residual treatment effects, Phase II direct treatment effects, and their interaction along with the canonical efficiency factor.
License: GPL-3
Encoding: UTF-8
Imports: Matrix, MASS, ggplot2
NeedsCompilation: no
Packaged: 2025-07-06 18:42:33 UTC; Akhilesh Jha
Author: Akhilesh Jha [aut, cre], Cini Varghese [aut], Seema Jaggi [aut], Eldho Varghese [aut], Mohd Harun [aut], Med Ram Verma [aut]
Repository: CRAN
Date/Publication: 2025-07-09 13:30:06 UTC

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New package SLRMss with initial version 1.0.0
Package: SLRMss
Title: Symmetric Linear Regression Models for Small Samples
Version: 1.0.0
Description: Ordinary and modified statistics for symmetrical linear regression models with small samples. The supported ordinary statistics include Wald, score, likelihood ratio and gradient. The modified statistics include score, likelihood ratio and gradient. Diagnostic tools associated with the fitted model are implemented. For more details see Medeiros and Ferrari (2017) <DOI:10.1111/stan.12107>.
License: GPL-3
Encoding: UTF-8
Imports: methods, normalp, ssym
NeedsCompilation: no
Packaged: 2025-07-06 15:25:48 UTC; eliardocosta
Author: Ivonaldo S. da Silva-Junior [aut, cre], Francisco Moises C. de Medeiros [aut] , Eliardo Costa [aut]
Maintainer: Ivonaldo S. da Silva-Junior <ivosilvestresjr@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-07-09 13:20:02 UTC

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New package simulateDCE with initial version 0.3.0
Package: simulateDCE
Title: Simulate Data for Discrete Choice Experiments
Version: 0.3.0
Description: Supports simulating choice experiment data for given designs. It helps to quickly test different designs against each other and compare the performance of new models. The goal of 'simulateDCE' is to make it easy to simulate choice experiment datasets using designs from 'NGENE', 'idefix' or 'spdesign'. You have to store the design file(s) in a sub-directory and need to specify certain parameters and the utility functions for the data generating process. For more details on choice experiments see Mariel et al. (2021) <doi:10.1007/978-3-030-62669-3>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.4), evd, formula.tools, ggplot2, kableExtra, magrittr, mixl, psych, purrr, readr, rmarkdown, stats, utils, stringr, tibble, tictoc, tidyr, future, furrr, qs, data.table
Suggests: knitr, testthat (>= 3.0.0), rlang
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-05 12:59:50 UTC; dj44vuri
Author: Julian Sagebiel [aut, cre]
Maintainer: Julian Sagebiel <julian.sagebiel@idiv.de>
Repository: CRAN
Date/Publication: 2025-07-09 10:30:02 UTC

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New package reptiledbr with initial version 0.0.1
Package: reptiledbr
Title: Interface to the Reptile Database for Querying and Retrieving Taxonomic Data
Version: 0.0.1
Description: Provides tools to search, access, and format taxonomic information from the Reptile Database (<http://reptile-database.org>) directly within R. Users can retrieve species-level data, distribution, etymology, synonyms, common names, and other relevant information for reptiles. Designed for taxonomists, ecologists, and biodiversity researchers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: xml2, stringr, purrr, tibble, tidyr, dplyr, utils, lifecycle, fuzzyjoin
Suggests: covr, knitr, mockery, reptiledb.data, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
URL: https://github.com/PaulESantos/reptiledbr, https://paulesantos.github.io/reptiledbr/
BugReports: https://github.com/PaulESantos/reptiledbr/issues
VignetteBuilder: knitr
Maintainer: Paul Efren Santos Andrade <paulefrens@gmail.com>
NeedsCompilation: no
Packaged: 2025-07-05 16:20:49 UTC; PC
Author: Paul Efren Santos Andrade [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-09 10:40:02 UTC

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New package quartose with initial version 0.1.0
Package: quartose
Title: Dynamically Generate Quarto Syntax
Version: 0.1.0
Description: Provides helper functions to work programmatically within a quarto document. It allows the user to create section headers, tabsets, divs, and spans, and formats these objects into quarto syntax when printed into a document.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/djnavarro/quartose, https://quartose.djnavarro.net/
BugReports: https://github.com/djnavarro/quartose/issues
Imports: cli, knitr, purrr, rlang, utils
Suggests: ggplot2, quarto, rmarkdown, spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2025-07-06 11:28:44 UTC; danielle
Author: Danielle Navarro [aut, cre, cph]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>
Repository: CRAN
Date/Publication: 2025-07-09 12:50:02 UTC

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New package PFW with initial version 0.1.0
Package: PFW
Title: Filtering and Processing Data from Project FeederWatch
Version: 0.1.0
Description: Provides tools to import, clean, filter, and prepare Project FeederWatch data for analysis. Includes functions for taxonomic rollup, easy filtering, zerofilling, merging in site metadata, and more. Project FeederWatch data comes from <https://feederwatch.org/explore/raw-dataset-requests/>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, lubridate, httr2, xml2, stats, utils, curl, stringdist
Suggests: testthat (>= 3.0.0), purrr, withr, knitr, rmarkdown
Depends: R (>= 4.1.0)
URL: https://github.com/ropensci/PFW, https://ropensci.github.io/PFW/
BugReports: https://github.com/ropensci/PFW/issues
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-04 22:58:39 UTC; mmaro
Author: Mason W. Maron [aut, cre] , Sunny Tseng [rev], Paul Carteron [rev]
Maintainer: Mason W. Maron <mwmaron2@illinois.edu>
Repository: CRAN
Date/Publication: 2025-07-09 10:30:20 UTC

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New package nrlR with initial version 0.1.0
Package: nrlR
Title: Access and Analyze Rugby League Data from Rugby League Project
Version: 0.1.0
Maintainer: Daniel Tomaro <danieltomaro@icloud.com>
Description: Provides a set of functions to scrape and analyze rugby data. Supports competitions including the National Rugby League, New South Wales Cup, Queensland Cup, Super League, and various representative and women's competitions. Includes functions to fetch player statistics, match results, ladders, venues, and coaching data. Designed to assist analysts, fans, and researchers in exploring historical and current rugby league data.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, purrr, httr, jsonlite, rvest, xml2, stringr, tibble, glue, cli, lubridate
Suggests: testthat, rmarkdown
NeedsCompilation: no
Packaged: 2025-07-04 22:09:32 UTC; danieltomaro
Author: Daniel Tomaro [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-09 10:20:02 UTC

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New package grouper with initial version 0.3.1
Package: grouper
Title: Optimal Assignment of Students to Groups
Version: 0.3.1
Description: Integer programming models to assign students to groups by maximising diversity within groups, or by maximising preference scores for topics.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, ompr.roi, rmarkdown, ROI.plugin.glpk,
VignetteBuilder: knitr
Imports: cluster, dplyr, magrittr, ompr, rlang, yaml
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-07-04 22:14:54 UTC; viknesh
Author: Vik Gopal [aut, cre], Kevin Lam [aut], Ju Xue [ctb], National University of Singapore [cph]
Maintainer: Vik Gopal <vik.gopal@nus.edu.sg>
Repository: CRAN
Date/Publication: 2025-07-09 10:20:06 UTC

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New package gkwreg with initial version 1.0.10
Package: gkwreg
Title: Generalized Kumaraswamy Regression Models for Bounded Data
Version: 1.0.10
Description: Implements regression models for bounded continuous data in the open interval (0,1) using the five-parameter Generalized Kumaraswamy distribution. Supports modeling all distribution parameters (alpha, beta, gamma, delta, lambda) as functions of predictors through various link functions. Provides efficient maximum likelihood estimation via Template Model Builder ('TMB'), offering comprehensive diagnostics, model comparison tools, and simulation methods. Particularly useful for analyzing proportions, rates, indices, and other bounded response data with complex distributional features not adequately captured by simpler models.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Formula, stats, graphics, TMB, Rcpp, RcppArmadillo, RcppEigen, magrittr, ggplot2, ggpubr, gridExtra, rappdirs, patchwork, fmsb, scales, tidyr, reshape2, numDeriv
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: betareg, knitr, rmarkdown, simplexreg, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-07-08 23:44:58 UTC; jlopes
Author: Lopes J. E. [aut, cre]
Maintainer: Lopes J. E. <evandeilton@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-09 07:50:02 UTC

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New package gggda with initial version 0.1.0
Package: gggda
Title: A 'ggplot2' Extension for Geometric Data Analysis
Version: 0.1.0
Description: A variety of multivariable data summary statistics and constructions have been proposed, either to generalize univariable analogs or to exploit multivariable properties. Notable among these are the bivariate peelings surveyed by Green (1981, ISBN:978-0-471-28039-2), the bag-and-bolster plots proposed by Rousseeuw &al (1999) <doi:10.1080/00031305.1999.10474494>, and the minimum spanning trees used by Jolliffe (2002) <doi:10.1007/b98835> to represent high-dimensional relationships among data in a low-dimensional plot. Additionally, biplots of singular value--decomposed tabular data, such as from principal components analysis, make use of vectors, calibrated axes, and other representations of variable elements to complement point markers for case elements; see Gabriel (1971) <doi:10.1093/biomet/58.3.453> and Gower & Harding (1988) <doi:10.1093/biomet/75.3.445> for original proposals. Because they treat the abscissa and ordinate as commensurate or the data e [...truncated...]
Depends: R (>= 3.3.0), ggplot2
Imports: rlang, tidyr, dplyr, magrittr, scales, labeling, ddalpha
Suggests: gridExtra, MASS, Hmisc, tibble, mlpack, testthat, knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
URL: https://github.com/corybrunson/gggda, https://corybrunson.github.io/gggda/
BugReports: https://github.com/corybrunson/gggda/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-05 20:48:12 UTC; jasoncorybrunson
Author: Jason Cory Brunson [aut, cre] , Emily Paul [ctb], John Gracey [aut]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-09 10:40:06 UTC

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New package fluxtools with initial version 0.3.0
Package: fluxtools
Title: A 'shiny' App for Reproducible QA/QC of Eddy Covariance Data
Version: 0.3.0
Description: An interactive 'shiny'-based tool for quality assurance and quality control (QA/QC) of eddy covariance flux tower data processing. It generates data-point removal code via user-directed selection from a scatterplot, and can export a cleaned .csv with removed points set to NA plus an R script for reproducibility. Reference: Key (2025) <DOI:10.5281/zenodo.15597159>.
License: GPL-3
URL: https://github.com/kesondrakey/fluxtools, https://doi.org/10.5281/zenodo.15597159
BugReports: https://github.com/kesondrakey/fluxtools/issues
Imports: dplyr, plotly, shiny
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
BuildVignettes: TRUE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-07-05 20:48:13 UTC; Karmic Dreamwork
Author: Kesondra Key [aut, cre]
Maintainer: Kesondra Key <keyke@iu.edu>
Repository: CRAN
Date/Publication: 2025-07-09 10:40:11 UTC

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New package eudata with initial version 0.1.2
Package: eudata
Title: Access Data from 'GISCO'
Version: 0.1.2
Description: Access data related to the European union from 'GISCO' <https://ec.europa.eu/eurostat/web/gisco>, the Geographic Information System of the European Commission, via its rest API at <https://gisco-services.ec.europa.eu>. This package tries to make it easier to get these data into R.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, fs, httr2, purrr, tibble, cli, rappdirs
Suggests: knitr, rmarkdown, ggplot2, sf, glue
VignetteBuilder: knitr
URL: https://github.com/prokaj/eudata
BugReports: https://github.com/prokaj/eudata/issues
NeedsCompilation: no
Packaged: 2025-07-06 01:31:31 UTC; prokaj
Author: Vilmos Prokaj [aut, cre]
Maintainer: Vilmos Prokaj <prokaj.vilmos@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-09 11:00:03 UTC

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New package copernicusR with initial version 0.1.0
Package: copernicusR
Title: R Interface to Copernicus Marine Service
Version: 0.1.0
Description: Provides an R interface to the Copernicus Marine Service for downloading and accessing marine data. Integrates with the official 'copernicusmarine' Python library through 'reticulate'. Requires Python 3.7+ and a free Copernicus Marine account. See <https://marine.copernicus.eu/> and <https://pypi.org/project/copernicusmarine/> for more information.
License: MIT + file LICENSE
URL: https://github.com/HansTtito/copernicusR
BugReports: https://github.com/HansTtito/copernicusR/issues
Encoding: UTF-8
Imports: reticulate (>= 1.20)
Suggests: getPass, testthat (>= 3.0.0), withr, terra, stars, knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: Python (>= 3.7), copernicusmarine Python library
NeedsCompilation: no
Packaged: 2025-07-05 21:04:49 UTC; hkev2
Author: Hans Ttito [aut, cre]
Maintainer: Hans Ttito <kvttitos@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-09 10:50:02 UTC

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New package caretSDM with initial version 1.1.0
Package: caretSDM
Title: Build Species Distribution Modeling using 'caret'
Version: 1.1.0
Maintainer: Luiz Fernando Esser <luizesser@gmail.com>
Description: Use machine learning algorithms and advanced geographic information system tools to build Species Distribution Modeling in a extensible and modern fashion.
License: MIT + file LICENSE
BugReports: https://github.com/luizesser/caretSDM/issues
Imports: caret, checkmate, cli, CoordinateCleaner, data.table, dismo, dplyr, fs, furrr, future, ggplot2, ggspatial, glue, gtools, httr, lwgeom, mapview, methods, parallelly, pdp, pROC, progressr, purrr, raster, rgbif, Rtsne, sf, stars, stats, stringdist, stringr, terra, tidyr, usdm, utils
Encoding: UTF-8
LazyData: true
Suggests: e1071, kknn, mda, naivebayes, nnet, here, tibble, withr, roxyglobals, covr, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.2.0)
URL: https://luizesser.github.io/caretSDM/
NeedsCompilation: no
Packaged: 2025-07-05 14:03:49 UTC; luizesser
Author: Dayani Bailly [aut] , Edivando Couto [aut] , Jose Hilario Delconte Ferreira [aut] , Reginaldo Re [aut] , Valeria Batista [aut] , Luiz Fernando Esser [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-07-09 10:40:15 UTC

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New package BrazilDataAPI with initial version 0.1.0
Package: BrazilDataAPI
Title: Access Brazilian Economic, Demographic, Environmental, and Geopolitical Data via RESTful APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from the 'BrasilAPI' and the 'REST Countries API', related to Brazil's postal codes, banks, holidays, company registrations, and international country indicators. Additionally, the package includes curated datasets related to Brazil, covering topics such as demographic data (males and females by state and year), river levels, environmental emission factors, film festivals, and yellow fever outbreak records. The package supports research and analysis focused on Brazil by integrating open APIs with high-quality datasets from multiple domains. For more details on the 'BrasilAPI', see <https://brasilapi.com.br/>, and for 'REST Countries', see <https://restcountries.com/>.
License: GPL-3
URL: https://github.com/lightbluetitan/brazildataapi, https://lightbluetitan.github.io/brazildataapi/
BugReports: https://github.com/lightbluetitan/brazildataapi/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-06 21:32:23 UTC; renzorossiv
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-09 13:40:09 UTC

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New package BMIselect with initial version 1.0.1
Package: BMIselect
Title: Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets
Version: 1.0.1
Author: Jungang Zou [aut, cre], Sijian Wang [aut], Qixuan Chen [aut]
Maintainer: Jungang Zou <jungang.zou@gmail.com>
Description: Provides a suite of Bayesian MI-LASSO for variable selection methods for multiply-imputed datasets. The package includes four Bayesian MI-LASSO models using shrinkage (Multi-Laplace, Horseshoe, ARD) and Spike-and-Slab (Spike-and-Laplace) priors, along with tools for model fitting via MCMC, three-step projection predictive variable selection, and hyperparameter calibration. Methods are suitable for both continuous and binary covariates under missing-at-random assumptions. See Zou, J., Wang, S. and Chen, Q. (2022), Variable Selection for Multiply-imputed Data: A Bayesian Framework. ArXiv, 2211.00114. <doi:10.48550/arXiv.2211.00114> for more details. We also provide the frequentist`s MI-LASSO function.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: MCMCpack, mvnfast, GIGrvg, MASS, Rfast, foreach, doParallel, arm, mice, abind, stringr, stats, posterior
Suggests: testthat, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-07-06 19:47:39 UTC; jz3183
Repository: CRAN
Date/Publication: 2025-07-09 13:30:09 UTC

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Tue, 08 Jul 2025

New package Transition with initial version 1.0.0
Package: Transition
Title: Characterise Transitions in Test Result Status in Longitudinal Studies
Version: 1.0.0
Date: 2025-07-04
Description: Analyse data from longitudinal studies to characterise changes in values of semi-quantitative outcome variables within individual subjects, using high performance C++ code to enable rapid processing of large datasets. A flexible methodology is available for codifying these state transitions.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.14)
LinkingTo: Rcpp
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
URL: https://mark-eis.github.io/Transition/
NeedsCompilation: yes
Packaged: 2025-07-04 21:11:08 UTC; runner
Author: Mark Eisler [aut, cre, cph] , Ana Rabaza [aut]
Maintainer: Mark Eisler <mark.eisler@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-08 10:00:02 UTC

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New package smsets with initial version 1.2.3
Package: smsets
Date: 2025-07-03
Title: Simple Multivariate Statistical Estimation and Tests
Version: 1.2.3
Description: A collection of simple parameter estimation and tests for the comparison of multivariate means and variation, to accompany Chapters 4 and 5 of the book Multivariate Statistical Methods. A Primer (5th edition), by Manly BFJ, Navarro Alberto JA & Gerow K (2024) <doi:10.1201/9781003453482>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
LazyData: true
Imports: stringr, data.table, Hotelling, biotools
Suggests: car, knitr, rmarkdown, testthat (>= 3.0.0),
VignetteBuilder: knitr
URL: https://github.com/ganava4/smsets
BugReports: https://github.com/ganava4/smsets/issues
NeedsCompilation: no
Packaged: 2025-07-04 17:58:55 UTC; jorgen
Author: Jorge Navarro Alberto [aut, cre, cph]
Maintainer: Jorge Navarro Alberto <ganava4@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-08 09:50:05 UTC

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New package intervalpsych with initial version 0.1.0
Package: intervalpsych
Title: Analyzing Interval Data in Psychometrics
Version: 0.1.0
Maintainer: Matthias Kloft <kloft.dev+intervalpsych@gmail.com>
Description: Implements the Interval Consensus Model (ICM) for analyzing continuous bounded interval-valued responses in psychometrics using 'Stan' for 'Bayesian' estimation. Provides functions for transforming interval data to simplex representations, fitting item response theory (IRT) models with isometric log-ratio (ILR) and sum log-ratio (SLR) link functions, and visualizing results. The package enables aggregation and analysis of interval-valued response data commonly found in psychological measurement and related disciplines. Based on Kloft et al. (2024) <doi:10.31234/osf.io/dzvw2>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://matthiaskloft.github.io/intervalpsych/, https://github.com/matthiaskloft/intervalpsych
BugReports: https://github.com/matthiaskloft/intervalpsych/issues
Biarch: true
Depends: R (>= 4.1)
Imports: dplyr, ggdist, ggokabeito, ggplot2, methods, posterior, purrr, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-07-04 00:13:43 UTC; Matze
Author: Matthias Kloft [aut, cre, cph] , Bjoern S. Siepe [aut]
Repository: CRAN
Date/Publication: 2025-07-08 09:20:02 UTC

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New package HighFive with initial version 3.0.0
Package: HighFive
Title: The 'HighFive' 'C++' Interface to 'HDF5'
Description: A modern idiomatic header-only C++ interface for 'libhdf5'. Original software can be found at <https://github.com/highfive-devs/highfive/>.
Version: 3.0.0
Date: 2025-07-02
URL: https://github.com/theAeon/HighFive
BugReports: https://github.com/theAeon/HighFive/issues
License: BSL-1.0
Copyright: file inst/COPYRIGHTS
SystemRequirements: C++14, hdf5
NeedsCompilation: no
Packaged: 2025-07-02 16:45:11 UTC; andrew
Author: Andrew Robbins [aut, cre] , Blue Brain Project/EPFL [aut]
Maintainer: Andrew Robbins <robbiand@umich.edu>
Repository: CRAN
Date/Publication: 2025-07-08 09:10:02 UTC

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New package ArgentinAPI with initial version 0.1.0
Package: ArgentinAPI
Title: Access Argentine Economic, Social, and Geopolitical Data via RESTful APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from the 'ArgentinaDatos API' and the 'REST Countries API' related to Argentina's exchange rates, inflation, political figures, holidays, and general country-level indicators. Additionally, the package includes curated datasets related to Argentina, covering topics such as economic indicators, biodiversity, agriculture, human rights, genetic data, and consumer prices. The package supports research and analysis focused on Argentina by integrating open APIs with high-quality datasets from various domains. For more details on the 'ArgentinaDatos API', see <https://argentinadatos.com/> and for 'REST Countries', see <https://restcountries.com/>.
License: GPL-3
URL: https://github.com/lightbluetitan/argentinapi, https://lightbluetitan.github.io/argentinapi/
BugReports: https://github.com/lightbluetitan/argentinapi/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr, lubridate
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-04 07:13:55 UTC; renzorossiv
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-08 09:30:01 UTC

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Mon, 07 Jul 2025

New package stCEG with initial version 0.1.0
Package: stCEG
Title: Fully Customizable Chain Event Graphs over Spatial Areas
Version: 0.1.0
Description: Enables the creation of Chain Event Graphs over spatial areas, with an optional 'Shiny' user interface. Allows users to fully customise both the structure and underlying model of the Chain Event Graph, offering a high degree of flexibility for tailored analyses. For more details on Chain Event Graphs, see Freeman, G., & Smith, J. Q. (2011) <doi:10.1016/j.jmva.2011.03.008>, Collazo R. A., Görgen C. and Smith J. Q. (2018, ISBN:9781498729604) and Barclay, L. M., Hutton, J. L., & Smith, J. Q. (2014) <doi:10.1214/13-BA843>.
URL: https://github.com/holliecalley/stCEG
BugReports: https://github.com/holliecalley/stCEG/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: DT, RColorBrewer, colorspace, crayon, dplyr, gtools, htmltools, htmlwidgets, hwep, igraph, leaflet, purrr, scales, sf, shiny, shinyWidgets, shinycssloaders, shinyjqui, shinyjs, sortable, spData, stringr, tidyr, tidyverse, viridis, visNetwork, zoo
Suggests: randomcoloR, colourpicker
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-03 15:08:22 UTC; holliecalley
Author: Hollie Calley [aut, cre] , Daniel Williamson [ctb]
Maintainer: Hollie Calley <hc629@exeter.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-07 13:00:02 UTC

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New package prepost with initial version 0.3.0
Package: prepost
Title: Non-Parametric Bounds and Gibbs Sampler for Assessing Priming and Post-Treatment Bias
Version: 0.3.0
URL: https://github.com/mattblackwell/prepost, https://mattblackwell.github.io/prepost/
Description: A set of tools to implement the non-parametric bounds and Bayesian methods for assessing post-treatment bias developed in Blackwell, Brown, Hill, Imai, and Yamamoto (2025) <doi:10.1017/pan.2025.3>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: gtools, BayesLogit, lpSolve, progress, Rglpk
Suggests: testthat (>= 3.0.0), devtools, knitr, rmarkdown, lmtest, sandwich, dplyr, ggplot2
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-03 14:09:09 UTC; mblackwell
Author: Matthew Blackwell [aut, cre], Jacob Brown [aut], Sophie Hill [aut], Kosuke Imai [aut], Teppei Yamamoto [aut]
Maintainer: Matthew Blackwell <mblackwell@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-07 12:50:02 UTC

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New package LSTMfactors with initial version 1.0.0
Package: LSTMfactors
Title: Determining the Number of Factors in Exploratory Factor Analysis by LSTM
Version: 1.0.0
Date: 2025-06-25
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>
Description: A method for factor retention using a pre-trained Long Short Term Memory (LSTM) Network, which is originally developed by Hochreiter and Schmidhuber (1997) <doi:10.1162/neco.1997.9.8.1735>, is provided. The sample size of the dataset used to train the LSTM model is 1,000,000. Each sample is a batch of simulated response data with a specific latent factor structure. The eigenvalues of these response data will be used as sequential data to train the LSTM. The pre-trained LSTM is capable of factor retention for real response data with a true latent factor number ranging from 1 to 10, that is, determining the number of factors.
License: GPL-3
Depends: R (>= 4.3.0)
Imports: reticulate, EFAfactors
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
URL: https://haijiangqin.com/LSTMfactors/
Packaged: 2025-07-03 13:00:29 UTC; Haijiang
Date/Publication: 2025-07-07 12:50:12 UTC

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New package galaxias with initial version 0.1.0
Package: galaxias
Title: Describe, Package, and Share Biodiversity Data
Version: 0.1.0
Description: The Darwin Core data standard is widely used to share biodiversity information, most notably by the Global Biodiversity Information Facility and its partner nodes; but converting data to this standard can be tricky. 'galaxias' is functionally similar to 'devtools', but with a focus on building Darwin Core Archives rather than R packages, enabling data to be shared and re-used with relative ease. For details see Wieczorek and colleagues (2012) <doi:10.1371/journal.pone.0029715>.
Depends: R (>= 4.3.0), corella
Imports: cli, delma, dplyr, fs, glue, httr2, jsonlite, purrr, readr, rlang, tibble, usethis, withr, zip
Suggests: gt, here, janitor, knitr, lubridate, rmarkdown, R.utils, testthat (>= 3.0.0), tidyr, xml2
License: MPL-2.0
URL: https://galaxias.ala.org.au/R/
BugReports: https://github.com/AtlasOfLivingAustralia/galaxias/issues
Maintainer: Martin Westgate <martin.westgate@csiro.au>
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-03 06:32:16 UTC; wes186
Author: Martin Westgate [aut, cre], Shandiya Balasubramaniam [aut], Dax Kellie [aut]
Repository: CRAN
Date/Publication: 2025-07-07 12:30:02 UTC

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New package TrueWAP with initial version 0.1.0
Package: TrueWAP
Title: True Range-Weighted Average Price ('TrueWAP')
Version: 0.1.0
Author: Joshua Callaway [aut, cre]
Maintainer: Joshua Callaway <Callaway@roar-analytics.com>
Description: This groundbreaking technical indicator directly integrates volatility into price averaging by weighting median range-bound prices using the True Range. Unlike conventional metrics such as TWAP (Time-Weighted Average Price), which focuses solely on time, or VWAP (Volume-Weighted Average Price), which emphasizes volume, 'TrueWAP' captures fluctuating market behavior by reflecting true price movement within high/low performance boundaries.
License: GPL (>= 2)
URL: https://github.com/CallawayCross/TrueWAP
BugReports: https://github.com/CallawayCross/TrueWAP/issues
Depends: R (>= 4.3.2)
Imports: zoo (>= 1.8-14), TTR (>= 0.24.4)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-02 17:33:57 UTC; snow_
Repository: CRAN
Date/Publication: 2025-07-07 09:20:06 UTC

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New package pharmaversesdtmjnj with initial version 0.0.1
Package: pharmaversesdtmjnj
Title: J&J Innovative Medicine SDTM Test Data
Version: 0.0.1
Description: A set of Study Data Tabulation Model (SDTM) datasets constructed by modifying the 'pharmaversesdtm' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.
Depends: R (>= 3.5.0), pharmaversesdtm (>= 1.2.0)
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-07-02 15:40:32 UTC; DTord
Author: David Munoz Tord [aut, cre], Nicholas Masel [aut], Joe Kovach [aut], J&J Innovative Medicine [cph, fnd]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>
Repository: CRAN
Date/Publication: 2025-07-07 09:10:01 UTC

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New package DRPT with initial version 1.1
Package: DRPT
Title: Density Ratio Permutation Test
Version: 1.1
Description: Implementation of the Density Ratio Permutation Test for testing the goodness-of-fit of a hypothesised ratio of two densities, as described in Bordino and Berrett (2025) <doi:10.48550/arXiv.2505.24529>.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, BiasedUrn, rootSolve, future, future.apply, Rdpack (>= 2.6)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-07-02 16:26:52 UTC; laburd
Author: Alberto Bordino [aut, cre] , Thomas B. Berrett [aut]
Maintainer: Alberto Bordino <alberto.bordino@warwick.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-07 09:10:05 UTC

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New package vibass with initial version 1.0.1
Package: vibass
Title: Materials for Introductory Course on Bayesian Learning
Version: 1.0.1
Description: Practicals, data sets, helper functions and interactive 'Shiny' apps used in the introductory course on Bayesian inference at the Valencia International Bayesian Summer School. Installing 'vibass' installs all the other packages used during the course and downloads all necessary materials for working off line.
License: GPL-3
Depends: R (>= 4.0)
Imports: cli, dplyr, extraDistr, ggplot2, golem, knitr, lme4, magrittr, R2BayesX, rlang, rstudioapi, shiny (>= 1.5), tibble, tidyr,
Suggests: bayesrules, coda, cowplot, faraway, hrbrthemes, htmlwidgets, INLA, ISLR, LaplacesDemon, magick, MASS, MCMCpack, plotly, rmarkdown, pacman, png, spData, stringi, waffle
VignetteBuilder: knitr
URL: http://vabar.es/vibass/, https://github.com/VABAR/vibass
BugReports: https://github.com/VABAR/vibass/issues
Encoding: UTF-8
LazyData: true
Additional_repositories: https://inla.r-inla-download.org/R/testing
NeedsCompilation: no
Packaged: 2025-07-02 11:35:15 UTC; facu
Author: VIBASS Team [aut, cph], Facundo Munoz [ctb, cre] , Carmen Armero [ctb] , Anabel Forte [ctb] , David Conesa [ctb] , Mark Brewer [ctb] , ORCID: <https://orcid.org/0000-0001-7559-389X>), Virgilio Gomez-Rubio [ctb]
Maintainer: Facundo Munoz <facundo.munoz@cirad.fr>
Repository: CRAN
Date/Publication: 2025-07-07 09:00:02 UTC

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New package rampage with initial version 0.2.0
Package: rampage
Title: Calibrated Color Ramps
Version: 0.2.0
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>
Description: Value-calibrated color ramps can be useful to emphasize patterns in data from complex distributions. Colors can be tied to specific values, and the association can be expanded into full color ramps that also include the relationship between colors and values. Such ramps can be used in a variety of cases when heatmap-type plots are necessary, including the visualization of vector and raster spatial data, such as topographies.
License: CC BY 4.0
Date: 2025-07-02
URL: https://adamtkocsis.com/rampage/
BugReports: https://github.com/adamkocsis/rampage/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: grDevices
NeedsCompilation: no
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, terra
Packaged: 2025-07-02 11:25:37 UTC; adam
Author: Adam T. Kocsis [cre, aut] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Repository: CRAN
Date/Publication: 2025-07-07 09:00:06 UTC

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New package LTFGRS with initial version 1.0.0
Package: LTFGRS
Title: Implementation of Several Phenotype-Based Family Genetic Risk Scores
Version: 1.0.0
Description: Implementation of several phenotype-based family genetic risk scores with unified input data and data preparation functions to help facilitate the required data preparation and management. The implemented family genetic risk scores are the extended liability threshold model conditional on family history (LT-FH++) from Pedersen (2022) <doi:10.1016/j.ajhg.2022.01.009> and Pedersen (2023) <https://www.nature.com/articles/s41467-023-41210-z>, Pearson-Aitken Family Genetic Risk Scores (PA-FGRS) from Krebs (2024) <doi:10.1016/j.ajhg.2024.09.009>, and family genetic risk score by Kendler (2021) <doi:10.1001/jamapsychiatry.2021.0336>.
Imports: batchmeans, dplyr, future.apply, future, lubridate, purrr, Rcpp, rlang, stats, stringr, tibble, tmvtnorm, tidyselect, igraph, xgboost, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), MASS
LinkingTo: Rcpp
VignetteBuilder: knitr
Language: en-GB
License: GPL (>= 3)
Encoding: UTF-8
URL: https://emilmip.github.io/LTFGRS/
BugReports: https://github.com/EmilMiP/LTFGRS/issues
NeedsCompilation: yes
Packaged: 2025-07-02 08:11:09 UTC; au483192
Author: Emil Michael Pedersen [aut, cre], Jette Steinbach [aut], Lucas Rasmussen [ctb], Morten Dybdahl Krebs [aut]
Maintainer: Emil Michael Pedersen <emp@ph.au.dk>
Repository: CRAN
Date/Publication: 2025-07-07 08:30:05 UTC

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New package ggdmcHeaders with initial version 0.2.9.1
Package: ggdmcHeaders
Title: 'C++' Headers for 'ggdmc' Package
Version: 0.2.9.1
Date: 2025-06-27
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>
Description: A fast 'C++' implementation of the design-based, Diffusion Decision Model (DDM) and the Linear Ballistic Accumulation (LBA) model. It enables the user to optimise the choice response time model by connecting with the Differential Evolution Markov Chain Monte Carlo (DE-MCMC) sampler implemented in the 'ggdmc' package. The package fuses the hierarchical modelling, Bayesian inference, choice response time models and factorial designs, allowing users to build their own design-based models. For more information on the underlying models, see the works by Voss, Rothermund, and Voss (2004) <doi:10.3758/BF03196893>, Ratcliff and McKoon (2008) <doi:10.1162/neco.2008.12-06-420>, and Brown and Heathcote (2008) <doi:10.1016/j.cogpsych.2007.12.002>.
License: GPL (>= 2)
URL: https://github.com/yxlin/ggdmcHeaders
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-07-02 09:24:59 UTC; yslin
Author: Yi-Shin Lin [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-07 08:30:02 UTC

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New package extraSuperpower with initial version 1.4.4
Package: extraSuperpower
Title: Power Calculation for Two-Way Factorial Designs
Version: 1.4.4
Author: Louis Macias [aut, cre, cph] , Silke Szymczak [aut]
Maintainer: Louis Macias <louis.macias@uni-luebeck.de>
Description: The basic use of this package is with 3 sequential functions. One to generate expected cell means and standard deviations, along with correlation and covariance matrices in the case of repeated measurements. This is followed by experiment simulation i number of times. Finally, power is calculated from the simulated data. Features that may be considered in the model are interaction, measure correlation and non-normal distributions.
Encoding: UTF-8
Imports: MASS (>= 7.3.0), afex (>= 1.3.0), rlang, Matrix, rlist, ggplot2, plyr, reshape2, scales, ggthemes, fGarch, truncnorm, sn, tmvtnorm, nparLD, permuco, Rfit, methods, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), linpk, Superpower
VignetteBuilder: knitr, rmarkdown
License: MIT + file LICENSE
URL: https://github.com/luisrmacias/extraSuperpower
BugReports: https://github.com/luisrmacias/extraSuperpower/issues
NeedsCompilation: no
Packaged: 2025-07-02 10:40:30 UTC; macias
Repository: CRAN
Date/Publication: 2025-07-07 09:00:11 UTC

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Sun, 06 Jul 2025

New package segMGarch with initial version 1.3
Package: segMGarch
Title: Multiple Change-Point Detection for High-Dimensional GARCH Processes
Version: 1.3
Date: 2025-07-05
Maintainer: Karolos Korkas <kkorkas@yahoo.co.uk>
Description: Implements a segmentation algorithm for multiple change-point detection in high-dimensional GARCH processes. It simultaneously segments GARCH processes by identifying 'common' change-points, each of which can be shared by a subset or all of the component time series as a change-point in their within-series and/or cross-sectional correlation structure.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.12), foreach, iterators, doParallel, fGarch, corpcor, mvtnorm, methods
Suggests: MASS
LinkingTo: Rcpp,RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-07-06 21:59:10 UTC; kkork
Repository: CRAN
Date/Publication: 2025-07-06 23:20:01 UTC
Author: Haeran Cho [aut], Karolos Korkas [aut, cre]

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New package birp with initial version 0.0.4
Package: birp
Title: Testing for Population Trends Using Low-Cost Ecological Count Data
Version: 0.0.4
Date: 2025-07-06
Description: A Bayesian tool to test for population trends and changes in trends under arbitrary designs, including before-after (BA), control-intervention (CI) and before-after-control-intervention (BACI) designs commonly used to assess conservation impact. It infers changes in trends jointly from data obtained with multiple survey methods, as well as from limited and noisy data not necessarily collected in standardized ecological surveys. Observed counts can be modeled as following either a Poisson or a negative binomial model, and both deterministic and stochastic trend models are available. For more details on the model see Singer et al. (2025) <doi:10.1101/2025.01.08.631844>, and the file 'AUTHORS' for a list of copyright holders and contributors.
URL: https://bitbucket.org/wegmannlab/birpr/wiki/Home
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.12), MASS
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-07-06 10:50:29 UTC; madleina
Author: Madleina Caduff [aut, cre], Daniel Wegmann [aut], Liam Singer [aut], Raphael Eckel [ctb], Andreas Fueglistaler [ctb]
Maintainer: Madleina Caduff <madleina.caduff@unifr.ch>
Repository: CRAN
Date/Publication: 2025-07-06 23:20:05 UTC

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New package kbal with initial version 0.1.3
Package: kbal
Title: Kernel Balancing
Version: 0.1.3
Date: 2025-07-05
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>.
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: 2025-07-06 03:37:58 UTC; borna
Author: Chad Hazlett [aut, cph], Ciara Sterbenz [aut], Erin Hartman [ctb], Alex Kravetz [ctb], Borna Bateni [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-06 07:50:02 UTC

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Sat, 05 Jul 2025

New package ino with initial version 1.1.0
Package: ino
Title: Initialization of Numerical Optimization
Version: 1.1.0
Description: Analysis of the initialization for numerical optimization of real-valued functions, particularly likelihood functions of statistical models. See <https://loelschlaeger.de/ino/> for more details.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: checkmate, cli, dplyr, future.apply, ggplot2, normalize (>= 0.1.2), oeli (>= 0.7.4), optimizeR (>= 1.2.1), portion (>= 0.1.2), R6, tidyr, utils
Suggests: knitr, fHMM (>= 1.3.1), progressr, renv, rmarkdown, scales, TestFunctions, testthat
URL: https://loelschlaeger.de/ino/, https://github.com/loelschlaeger/ino
BugReports: https://github.com/loelschlaeger/ino/issues
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-01 20:05:46 UTC; lennart
Author: Lennart Oelschlaeger [aut, cre] , Marius Oetting [aut] , Dietmar Bauer [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-05 19:10:02 UTC

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New package voigt with initial version 1.0
Package: voigt
Title: The Voigt Distribution
Version: 1.0
Date: 2025-06-30
Maintainer: Massimo Cannas <massimo.cannas@unica.it>
Description: Random generation, density function and parameter estimation for the Voigt distribution. The main objective of this package is to provide R users with efficient estimation of Voigt parameters using classic iid data in a Bayesian framework. The estimating function allows flexible prior specification, specification of fixed parameters and several options for MCMC posterior simulation. A basic version of the algorithm is described in: Cannas M. and Piras, N. (2025) <doi:10.1007/978-3-031-96303-2_53>.
Depends: R (>= 3.5.0)
Imports: invgamma, coda, pracma
License: GPL-2
NeedsCompilation: no
Packaged: 2025-06-30 08:45:08 UTC; massimo
Author: Massimo Cannas [aut, cre], Nicola Piras [aut]
Repository: CRAN
Date/Publication: 2025-07-05 18:30:02 UTC

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New package SATS with initial version 1.0.4
Package: SATS
Title: Signature Analyzer for Targeted Sequencing (SATS)
Version: 1.0.4
Date: 2025-07-01
Description: Performs mutational signature analysis for targeted sequenced tumors. Unlike the canonical analysis of mutational signatures, SATS factorizes the mutation counts matrix into a panel context matrix (measuring the size of the targeted sequenced genome for each tumor in the unit of million base pairs (Mb)), a signature profile matrix, and a signature activity matrix. SATS also calculates the expected number of mutations attributed by a signature, namely signature expectancy, for each targeted sequenced tumor. For more details see Lee et al. (2024) <doi:10.1101/2023.05.18.23290188>.
Imports: stats, glmnet, GenomicRanges, IRanges, Biostrings, dplyr, BSgenome.Hsapiens.UCSC.hg19
Depends: R (>= 4.1.0)
Suggests: testthat
License: GPL-2
NeedsCompilation: yes
Packaged: 2025-07-01 12:53:45 UTC; wheelerwi
Author: DongHyuk Lee [aut], Bin Zhu [aut], Bill Wheeler [cre]
Maintainer: Bill Wheeler <wheelerb@imsweb.com>
Repository: CRAN
Date/Publication: 2025-07-05 18:40:06 UTC

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New package rtestim with initial version 1.0.0
Package: rtestim
Title: Estimate the Effective Reproductive Number with Trend Filtering
Version: 1.0.0
Description: Use trend filtering, a type of regularized nonparametric regression, to estimate the instantaneous reproduction number, also called Rt. This value roughly says how many new infections will result from each new infection today. Values larger than 1 indicate that an epidemic is growing while those less than 1 indicate decline. For more details about this methodology, see Liu, Cai, Gustafson, and McDonald (2024) <doi:10.1371/journal.pcbi.1012324>.
License: MIT + file LICENSE
URL: https://github.com/dajmcdon/rtestim, https://dajmcdon.github.io/rtestim/
BugReports: https://github.com/dajmcdon/rtestim/issues
Depends: R (>= 3.6.2)
Imports: checkmate, cli, dspline, ggplot2, Matrix, methods, Rcpp, rlang, tibble, tvdenoising, vctrs
Suggests: dplyr, forcats, knitr, nnet, rmarkdown, testthat (>= 3.0.0), tidyr, xml2
LinkingTo: BH, dspline, Rcpp, RcppEigen, testthat, tvdenoising
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-07-01 17:18:31 UTC; dajmcdon
Author: Daniel J. McDonald [aut, cre, cph], Jiaping Liu [aut], Zhenglun Cai [ctb]
Maintainer: Daniel J. McDonald <daniel@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2025-07-05 18:50:02 UTC

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New package osbng with initial version 0.2.0
Package: osbng
Title: Geospatial Grid Indexing with the British National Grid
Version: 0.2.0
Description: Offers a streamlined programmatic interface to Ordnance Survey's British National Grid (BNG) index system, enabling efficient spatial indexing and analysis based on grid references. It supports a range of geospatial applications, including statistical aggregation, data visualisation, and interoperability across datasets. Designed for developers and analysts working with geospatial data in Great Britain, 'osbng' simplifies integration with geospatial workflows and provides intuitive tools for exploring the structure and logic of the BNG system.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, sf, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
Imports: geos
VignetteBuilder: knitr
URL: https://ordnancesurvey.github.io/osbng-r/, https://github.com/OrdnanceSurvey/osbng-r
BugReports: https://github.com/OrdnanceSurvey/osbng-r/issues
NeedsCompilation: no
Packaged: 2025-07-01 08:54:29 UTC; wjochem
Author: Chris Jochem [cre, aut], Ordnance Survey Ltd [cph, fnd], Steve Kingston [ctb], Kate New [ctb], Tom Peterken [ctb]
Maintainer: Chris Jochem <chris.jochem@os.uk>
Repository: CRAN
Date/Publication: 2025-07-05 18:30:06 UTC

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New package moveEZ with initial version 1.0.3
Package: moveEZ
Title: Animated Biplots
Version: 1.0.3
Description: Create animated biplots that enables dynamic visualisation of temporal or sequential changes in multivariate data by animating a single biplot across the levels of a time variable. It builds on objects from the 'biplotEZ' package, Lubbe S, le Roux N, Nienkemper-Swanepoel J, Ganey R, Buys R, Adams Z, Manefeldt P (2024) <doi:10.32614/CRAN.package.biplotEZ>, allowing users to create animated biplots that reveal how both samples and variables evolve over time.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: dplyr, biplotEZ, gganimate, ggplot2, GPAbin
Suggests: testthat, rmarkdown, knitr, tibble, scales
NeedsCompilation: no
Packaged: 2025-07-01 15:07:47 UTC; raeesaganey
Author: Raeesa Ganey [aut, cre, cph] , Johane Nienkemper-Swanepoel [aut, cph]
Maintainer: Raeesa Ganey <raeesa.ganey@wits.ac.za>
Repository: CRAN
Date/Publication: 2025-07-05 18:50:07 UTC

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New package MIDASim with initial version 2.0
Package: MIDASim
Title: Simulating Realistic Microbiome Data using 'MIDASim'
Version: 2.0
Description: The 'MIDASim' package is a microbiome data simulator for generating realistic microbiome datasets by adapting a user-provided template. It supports the controlled introduction of experimental signals-such as shifts in taxon relative abundances, prevalence, and sample library sizes-to create distinct synthetic populations under diverse simulation scenarios. For more details, see He et al. (2024) <doi:10.1186/s40168-024-01822-z>.
Imports: psych, MASS, pracma, scam, stats
Suggests: vegan, phyloseq, rmarkdown, knitr, roxygen2, testthat
URL: https://github.com/mengyu-he/MIDASim
BugReports: https://github.com/mengyu-he/MIDASim/issues
LazyData: true
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-01 18:50:50 UTC; mhe
Author: Mengyu He [aut, cre]
Maintainer: Mengyu He <mhe44@emory.edu>
Repository: CRAN
Date/Publication: 2025-07-05 19:00:03 UTC

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New package flowcluster with initial version 0.1.0
Package: flowcluster
Title: Cluster Origin-Destination Flow Data
Version: 0.1.0
Description: Provides functionality for clustering origin-destination (OD) pairs, representing desire lines (or flows). This includes creating distance matrices between OD pairs and passing distance matrices to a clustering algorithm. See the academic paper Tao and Thill (2016) <doi:10.1111/gean.12100> for more details on spatial clustering of flows.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://hussein-mahfouz.github.io/flowcluster/
Depends: R (>= 4.1.0)
Imports: sf, dbscan, dplyr, glue, lwgeom, tibble, units, tidyr, tidyselect
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-07-01 13:35:02 UTC; hussein
Author: Hussein Mahfouz [aut, cre] , Robin Lovelace [aut]
Maintainer: Hussein Mahfouz <husseinmahfouz93@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-05 18:50:11 UTC

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New package rspacer with initial version 0.2.0
Package: rspacer
Title: 'RSpace' API Wrapper
Version: 0.2.0
Description: Wrapper for the 'RSpace' Electronic Lab Notebook (<https://www.researchspace.com/>) API. This packages provides convenience functions to browse, search, create, and edit your RSpace documents. In addition, it enables filling 'RSpace' templates from R Markdown/Quarto templates or tabular data (e.g., Excel files). This R package is not developed or endorsed by Research Space.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, curl, dplyr, fs, glue, httr2, purrr, readr, readxl, rlang, rvest, stringr, tibble, tidyr, xml2
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0), usethis
Language: en-US
URL: https://github.com/lacdr/rspacer, https://lacdr.github.io/rspacer/
BugReports: https://github.com/lacdr/rspacer/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-30 14:21:08 UTC; gerhard
Author: Gerhard Burger [aut, cre] , Hanneke Leegwater [aut]
Maintainer: Gerhard Burger <burger.ga@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-05 15:10:02 UTC

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New package reptiledb.data with initial version 0.0.0.1
Package: reptiledb.data
Title: Reptile Database Data
Version: 0.0.0.1
Description: Provides easy access to 'The Reptile Database', a comprehensive catalogue of all living reptile species and their classification. This package includes taxonomic data for over 10,000 reptile species, approximately 2,800 of which are subspecies, covering all extant reptiles. The dataset features taxonomic names, synonyms, distribution data, type specimens, and literature references, making it ready for research and analysis. Data is sourced from 'The Reptile Database' <http://www.reptile-database.org/>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
LazyData: true
URL: https://github.com/PaulESantos/reptiledb.data
BugReports: https://github.com/PaulESantos/reptiledb.data/issues
Imports: httr, rvest, stringr, tibble
Maintainer: Paul Efren Santos Andrade <paulefrens@gmail.com>
NeedsCompilation: no
Packaged: 2025-07-01 01:55:08 UTC; PC
Author: Paul Efren Santos Andrade [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-05 15:40:02 UTC

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New package GHRexplore with initial version 0.1.0
Package: GHRexplore
Title: Exploratory Analysis of Temporal and Spatio-Temporal Health Data
Version: 0.1.0
Description: A collection of commonly used visualizations of temporal and spatio-temporal health data including case counts, incidence rates, and covariates. The available plot types include time series, heatmaps, seasonality plots, maps and more. The package supports standard data transformations such as temporal and spatial aggregations, while offering extensive customization options for the resulting figures.
License: GPL (>= 2)
URL: https://earth.bsc.es/gitlab/ghr/ghrexplore
BugReports: https://earth.bsc.es/gitlab/ghr/ghrexplore/-/issues
Depends: R (>= 4.1.0)
Imports: colorspace, cowplot, dplyr, ggplot2 (>= 3.5.0), grDevices, ISOweek, RColorBrewer, rlang, stats, tidyr
Suggests: knitr, rmarkdown, sf, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-30 12:41:22 UTC; cmilagar
Author: Carles Mila [aut, cre] , Giovenale Moirano [aut] , Anna B. Kawiecki [aut] , Rachel Lowe [aut, cph]
Maintainer: Carles Mila <carles.milagarcia@bsc.es>
Repository: CRAN
Date/Publication: 2025-07-05 15:10:06 UTC

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New package inDAGO with initial version 1.0.0
Package: inDAGO
Title: A GUI for Dual and Bulk RNA-Sequencing Analysis
Version: 1.0.0
Description: A 'shiny' app that supports both dual and bulk RNA-seq, with the dual RNA-seq functionality offering the flexibility to perform either a sequential approach (where reads are mapped separately to each genome) or a combined approach (where reads are aligned to a single merged genome). The user-friendly interface automates the analysis process, providing step-by-step guidance, making it easy for users to navigate between different analysis steps, and download intermediate results and publication-ready plots.
License: GPL (>= 3)
URL: https://github.com/inDAGOverse/inDAGO
BugReports: https://github.com/inDAGOverse/inDAGO/issues
Encoding: UTF-8
Imports: bigtabulate, BiocGenerics, Biostrings, bsicons, bslib, callr, checkmate, data.table, dplyr, DT, edgeR, fs, ggplot2, ggrepel, grDevices, heatmaply, Hmisc, htmltools, HTSFilter, limma, magrittr, matrixStats, memuse, methods, paletteer, parallel, pheatmap, plotly, R.devices, readr, reshape2, Rfastp, rintrojs, Rsamtools, Rsubread, rtracklayer, S4Vectors, seqinr, shiny, shinycssloaders, shinyFiles, shinyjs, shinyWidgets, ShortRead, spsComps, stats, tibble, tidyr, tools, upsetjs, UpSetR, utils, XVector
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-06-30 09:20:24 UTC; gaeta
Author: Carmine Fruggiero [aut, cre], Gaetano Aufiero [aut]
Maintainer: Carmine Fruggiero <fruggierocarmine3@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-05 15:00:02 UTC

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Fri, 04 Jul 2025

New package viralx with initial version 1.3.1
Package: viralx
Title: Explainers for Regression Models in HIV Research
Version: 1.3.1
Maintainer: Juan Pablo Acuna Gonzalez <22253567@uagro.mx>
Description: A dedicated viral-explainer model tool designed to empower researchers in the field of HIV research, particularly in viral load and CD4 (Cluster of Differentiation 4) lymphocytes regression modeling. Drawing inspiration from the 'tidymodels' framework for rigorous model building of Max Kuhn and Hadley Wickham (2020) <https://www.tidymodels.org>, and the 'DALEXtra' tool for explainability by Przemyslaw Biecek (2020) <doi:10.48550/arXiv.2009.13248>. It aims to facilitate interpretable and reproducible research in biostatistics and computational biology for the benefit of understanding HIV dynamics.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: Cubist, dplyr, earth, kknn, rsample, rules, testthat (>= 3.0.0), vdiffr
Depends: R (>= 4.1.0)
LazyData: true
Imports: DALEX, DALEXtra, parsnip, recipes, stats, workflows
URL: https://github.com/juanv66x/viralx
BugReports: https://github.com/juanv66x/viralx/issues
NeedsCompilation: no
Packaged: 2025-07-04 15:58:42 UTC; jp
Author: Juan Pablo Acuna Gonzalez [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-04 21:40:02 UTC

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New package semEffect with initial version 1.2.3
Package: semEffect
Title: Structural Equation Model Effect Analysis and Visualization
Version: 1.2.3
Description: Provides standardized effect decomposition (direct, indirect, and total effects) for three major structural equation modeling frameworks: 'lavaan', 'piecewiseSEM', and 'plspm'. Automatically handles zero-effect variables, generates publication-ready 'ggplot2' visualizations, and returns both wide-format and long-format effect tables. Supports effect filtering, multi-model object inputs, and customizable visualization parameters. For a general overview of the methods used in this package, see Rosseel (2012) <doi:10.18637/jss.v048.i02> and Lefcheck (2016) <doi:10.1111/2041-210X.12512>.
URL: https://github.com/PhDMeiwp/semEffect/
BugReports: https://github.com/PhDMeiwp/semEffect/issues
Depends: R (>= 4.4.0)
License: GPL-3
Encoding: UTF-8
Imports: lavaan, piecewiseSEM, plspm, ggplot2, tidyr, dplyr, utils, checkmate, RColorBrewer
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-06-30 06:54:47 UTC; meiwe
Author: Weiping Mei [aut, cre]
Maintainer: Weiping Mei <meiweipingg@163.com>
Repository: CRAN
Date/Publication: 2025-07-04 19:30:01 UTC

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New package hmde with initial version 1.2.1
Package: hmde
Title: Hierarchical Methods for Differential Equations
Version: 1.2.1
Description: Wrapper for Stan that offers a number of in-built models to implement a hierarchical Bayesian longitudinal model for repeat observation data. Model choice selects the differential equation that is fit to the observations. Single and multi-individual models are available. O'Brien et al. (2024) <doi:10.1111/2041-210X.14463>.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 4.1.0)
Imports: methods, dplyr, ggplot2, purrr, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rlang, rstan (>= 2.18.1), rstantools (>= 2.3.1.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr, mnormt, here, patchwork, deSolve, cowplot, mixtools, MASS
VignetteBuilder: knitr
LazyData: true
URL: https://traitecoevo.github.io/hmde/
BugReports: https://github.com/traitecoevo/hmde/issues
NeedsCompilation: yes
Packaged: 2025-06-30 03:03:43 UTC; tess
Author: Daniel Falster [aut, ctb] , Tess O'Brien [aut, cre, cph] , Fonti Kar [ctb] , David Warton [aut, ctb]
Maintainer: Tess O'Brien <tess_obrien@fastmail.com>
Repository: CRAN
Date/Publication: 2025-07-04 19:20:06 UTC

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New package BayesBrainMap with initial version 0.1.3
Package: BayesBrainMap
Title: Estimate Brain Networks and Connectivity with Population-Derived Priors
Version: 0.1.3
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Implements Bayesian brain mapping models, including the prior ICA (independent components analysis) model proposed in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the spatial prior ICA model proposed in proposed in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level brain as deviations from known population-level networks, which are estimated using standard ICA algorithms. Both models employ an expectation-maximization algorithm for estimation of the latent brain networks and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats.
Depends: R (>= 3.6.0)
License: GPL-3
Additional_repositories: https://inla.r-inla-download.org/R/testing
Encoding: UTF-8
Imports: abind, fMRItools (>= 0.5.3), fMRIscrub (>= 0.14.5), foreach, Matrix, matrixStats, methods, pesel, SQUAREM, stats, utils
Suggests: ciftiTools (>= 0.13.2), excursions, RNifti, oro.nifti, gifti, parallel, doParallel, knitr, rmarkdown, INLA, testthat (>= 3.0.0)
URL: https://github.com/mandymejia/BayesBrainMap
BugReports: https://github.com/mandymejia/BayesBrainMap/issues
NeedsCompilation: no
Packaged: 2025-06-28 21:13:52 UTC; ddpham
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , Daniel Spencer [ctb] , Mary Beth Nebel [ctb]
Repository: CRAN
Date/Publication: 2025-07-04 18:40:02 UTC

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New package HaDeX with initial version 1.2.3
Package: HaDeX
Title: Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass Spectrometry Data
Version: 1.2.3
Description: Functions for processing, analysis and visualization of Hydrogen Deuterium eXchange monitored by Mass Spectrometry experiments (HDX-MS) (<doi:10.1093/bioinformatics/btaa587>). 'HaDeX' introduces a new standardized and reproducible workflow for the analysis of the HDX-MS data, including novel uncertainty intervals. Additionally, it covers data exploration, quality control and generation of publication-quality figures. All functionalities are also available in the in-built 'Shiny' app.
Depends: R (>= 3.0)
License: GPL-3
Encoding: UTF-8
Imports: data.table, dplyr, ggplot2, latex2exp, reshape2, readr, readxl, shiny, tidyr
Suggests: spelling, covr, digest, DT, gridExtra, gsubfn, knitr, pander, renv, rmarkdown, shinycssloaders, shinyhelper, shinyjs, stringr, testthat, vdiffr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-07-04 09:15:50 UTC; User
Author: Weronika Puchala [cre, aut] , Michal Burdukiewicz [aut] , Dominik Rafacz [ctb]
Maintainer: Weronika Puchala <puchala.weronika@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-04 12:20:02 UTC

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Thu, 03 Jul 2025

New package ttScreening with initial version 1.7
Package: ttScreening
Title: Genome-Wide DNA Methylation Sites Screening by Use of Training and Testing Samples
Version: 1.7
Description: A screening process utilizing training and testing samples to filter out uninformative DNA methylation sites. Surrogate variables (SVs) of DNA methylation are included in the filtering process to explain unknown factor effects.
License: Artistic-2.0
Encoding: UTF-8
Depends: matrixStats,sva,limma
Imports: graphics,stats,corpcor,simsalapar,MASS
Suggests: mvtnorm
NeedsCompilation: no
Packaged: 2025-07-03 19:55:51 UTC; maray
Author: Meredith Ray [aut, cre], Xin Tong [aut], Hongmei Zhang [aut]
Maintainer: Meredith Ray <maray@memphis.edu>
Repository: CRAN
Date/Publication: 2025-07-03 22:40:02 UTC

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New package tabr with initial version 0.5.3
Package: tabr
Title: Music Notation Syntax, Manipulation, Analysis and Transcription in R
Version: 0.5.3
Description: Provides a music notation syntax and a collection of music programming functions for generating, manipulating, organizing, and analyzing musical information in R. Music syntax can be entered directly in character strings, for example to quickly transcribe short pieces of music. The package contains functions for directly performing various mathematical, logical and organizational operations and musical transformations on special object classes that facilitate working with music data and notation. The same music data can be organized in tidy data frames for a familiar and powerful approach to the analysis of large amounts of structured music data. Functions are available for mapping seamlessly between these formats and their representations of musical information. The package also provides an API to 'LilyPond' (<https://lilypond.org/>) for transcribing musical representations in R into tablature ("tabs") and sheet music. 'LilyPond' is open source music engraving software for gener [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/leonawicz/tabr, https://leonawicz.github.io/tabr/
BugReports: https://github.com/leonawicz/tabr/issues
Depends: R (>= 4.1)
Imports: crayon, dplyr, ggplot2, purrr, tibble, tidyr
Suggests: fansi, gridExtra, htmltools, kableExtra, knitr, png, rmarkdown, testthat, tuneR
VignetteBuilder: knitr
ByteCompile: true
Encoding: UTF-8
LazyData: true
SystemRequirements: LilyPond v2.22.1-2+ (needed for rendering sheet music or writing MIDI files)
NeedsCompilation: no
Packaged: 2025-07-03 19:02:19 UTC; Matt
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <rpkgs@pm.me>
Repository: CRAN
Date/Publication: 2025-07-03 22:40:06 UTC

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New package LongDecompHE with initial version 0.1.0
Package: LongDecompHE
Title: Longitudinal Decomposition of Health Expectancy by Age and Cause
Version: 0.1.0
Description: Provides tools to decompose differences in cohort health expectancy (HE) by age and cause using longitudinal data. The package implements a novel longitudinal attribution method based on a semiparametric additive hazards model with time-dependent covariates, specifically designed to address interval censoring and semi-competing risks via a copula framework. The resulting age-cause-specific contributions to disability prevalence and death probability can be used to quantify and decompose differences in cohort HE between groups. The package supports stepwise replacement decomposition algorithms and is applicable to cohort-based health disparity research across diverse populations. Related methods include Sun et al. (2023) <doi:10.1177/09622802221133552>.
License: GPL (>= 3)
Imports: copula, corpcor, stats, ggplot2, patchwork, grDevices, tidyr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-28 14:56:14 UTC; zhenghuiping
Author: Huiping Zheng [aut, cre], Tao Sun [aut], Xiaojun Wang [aut]
Maintainer: Huiping Zheng <zhenghuiping@ruc.edu.cn>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-07-03 15:20:02 UTC

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New package contdid with initial version 0.1.0
Package: contdid
Title: Difference-in-Differences with a Continuous Treatment
Version: 0.1.0
Description: Provides methods for difference-in-differences with a continuous treatment and staggered treatment adoption. Includes estimation of treatment effects and causal responses as a function of the dose, event studies indexed by length of exposure to the treatment, and aggregation into overall average effects. Uniform inference procedures are included, along with both parametric and nonparametric models for treatment effects. The methods are based on Callaway, Goodman-Bacon, and Sant'Anna (2025) <doi:10.48550/arXiv.2107.02637>.
Depends: R (>= 4.1.0),
License: GPL-3
Encoding: UTF-8
Imports: BMisc (>= 1.4.8), ptetools, checkmate, splines2, sandwich, ggplot2, MASS, npiv
URL: https://bcallaway11.github.io/contdid/, https://github.com/bcallaway11/contdid
BugReports: https://github.com/bcallaway11/contdid/issues
Suggests: testthat (>= 3.0.0), tidyr
NeedsCompilation: no
Packaged: 2025-06-28 03:19:14 UTC; bmc43193
Author: Brantly Callaway [aut, cre], Andrew Goodman-Bacon [aut], Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>
Repository: CRAN
Date/Publication: 2025-07-03 15:10:02 UTC

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New package ciflyr with initial version 0.1.1
Package: ciflyr
Title: Reachability-Based Primitives for Graphical Causal Inference
Version: 0.1.1
Description: Provides a framework for specifying and running flexible linear-time reachability-based algorithms for graphical causal inference. Rule tables are used to encode and customize the reachability algorithm to typical causal and probabilistic reasoning tasks such as finding d-connected nodes or more advanced applications. For more information, see Wienöbst, Weichwald and Henckel (2025) <doi:10.48550/arXiv.2506.15758>.
License: MIT + file LICENSE
URL: https://cifly.pages.dev/, https://github.com/mwien/CIfly
BugReports: https://github.com/mwien/CIfly/issues
SystemRequirements: Cargo (Rust's package manager), rustc
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-06-24 10:25:15 UTC; marcel
Author: Marcel Wienoebst [aut, cre, cph], Sebastian Weichwald [aut], Leonard Henckel [aut], Authors of the dependency Rust crates [ctb]
Maintainer: Marcel Wienoebst <marcel.wienoebst@gmx.de>
Repository: CRAN
Date/Publication: 2025-07-03 13:20:02 UTC

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New package rbioapi with initial version 0.8.3
Package: rbioapi
Title: User-Friendly R Interface to Biologic Web Services' API
Version: 0.8.3
Description: Currently fully supports Enrichr, JASPAR, miEAA, PANTHER, Reactome, STRING, and UniProt! The goal of rbioapi is to provide a user-friendly and consistent interface to biological databases and services. In a way that insulates the user from the technicalities of using web services API and creates a unified and easy-to-use interface to biological and medical web services. This is an ongoing project; New databases and services will be added periodically. Feel free to suggest any databases or services you often use.
License: GPL-3
URL: https://rbioapi.moosa-r.com, https://github.com/moosa-r/rbioapi
BugReports: https://github.com/moosa-r/rbioapi/issues
Imports: httr, jsonlite, utils
Suggests: DT, knitr, png, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-07-02 17:05:55 UTC; moosa
Author: Moosa Rezwani [aut, cre]
Maintainer: Moosa Rezwani <moosa.rezwani@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-03 12:50:01 UTC

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Wed, 02 Jul 2025

New package MSclassifR with initial version 0.4.0
Package: MSclassifR
Title: Automated Classification of Mass Spectra
Version: 0.4.0
Maintainer: Alexandre Godmer <alexandre.godmer@aphp.fr>
Description: Functions to classify mass spectra in known categories, and to determine discriminant mass-to-charge values. It includes easy-to-use functions for preprocessing mass spectra, functions to determine discriminant mass-to-charge values (m/z) from a library of mass spectra corresponding to different categories, and functions to predict the category (species, phenotypes, etc.) associated to a mass spectrum from a list of selected mass-to-charge values. If you use this package in your research, please cite the associated publication (<doi:10.1016/j.eswa.2025.128796>). For a comprehensive guide, additional applications, and detailed examples of using this package, please visit our GitHub repository (<https://github.com/agodmer/MSclassifR_examples>).
URL: https://github.com/agodmer/MSclassifR_examples, https://doi.org/10.1016/j.eswa.2025.128796
BugReports: https://github.com/agodmer/MSclassifR_examples/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0), cp4p, caret, statmod, MALDIquant, MALDIrppa,
Imports: e1071, MALDIquantForeign, mixOmics, reshape2, ggplot2, nnet, dplyr, VSURF, metap, xgboost, glmnet, Boruta, mltools, mclust, stats, limma, car, vita, randomForest
Suggests: knitr, rmarkdown,
NeedsCompilation: no
Packaged: 2025-07-02 09:54:43 UTC; qgiaigia
Author: Alexandre Godmer [aut, cre], Quentin Giai Gianetto [aut], Karen Druart [aut]
Repository: CRAN
Date/Publication: 2025-07-02 16:20:16 UTC

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New package fishboot with initial version 1.0.2
Package: fishboot
Title: Bootstrap-Based Methods for the Study of Fish Stocks and Aquatic Populations
Version: 1.0.2
Date: 2025-07-02
Description: A suite of bootstrap-based models and tools for analyzing fish stocks and aquatic populations. Designed for ecologists and fisheries scientists, it supports data from length-frequency distributions, tag-and-recapture studies, and hard structure readings (e.g., otoliths). See Schwamborn et al., 2019 <doi:10.1016/j.ecolmodel.2018.12.001> for background. The package includes functions for bootstrapped fitting of growth curves and plotting.
Depends: R (>= 4.1.0)
Imports: doParallel, parallel, foreach, grDevices, graphics, stats, utils, ks, TropFishR, fishmethods
License: GPL-3
BugReports: https://github.com/rschwamborn/fishboot/issues
URL: https://github.com/rschwamborn/fishboot
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-02 16:00:27 UTC; RALF
Author: Ralf Schwamborn [aut, cre] , Tobias K. Mildenberger [aut], Marc H. Taylor [aut], Margit Wilhelm [aut] , Wencheng Lau-Medrano [ctb]
Maintainer: Ralf Schwamborn <ralf.schwamborn@ufpe.br>
Repository: CRAN
Date/Publication: 2025-07-02 16:20:07 UTC

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New package unifyR with initial version 1.0.0
Package: unifyR
Title: Unified Scores, Reliabilities and Validities from Multiple Tests
Version: 1.0.0
Maintainer: Dominik Weber <dominik.weber@uni-saarland.de>
Description: In diagnostic contexts, individuals are often assessed using multiple tests that measure the same latent variable (e.g., intelligence). These test scores are typically not exactly identical. Simple averaging neglects the correlation between tests and the reduced variance of their combination. The 'unifyR' package provides functions to compute statistically accurate unified scores, reliabilities and validities of multiple tests. The underlying algorithms build on and extend the method proposed by Evans (1996, <DOI:10.3758/BF03204767>) and have been validated through simulations.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2025-06-27 14:58:26 UTC; Dominik
Author: Dominik Weber [aut, cre], Marco Koch [aut], Frank M. Spinath [aut], Nicolas Becker [aut]
Repository: CRAN
Date/Publication: 2025-07-02 15:20:02 UTC

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New package rcrisp with initial version 0.1.3
Package: rcrisp
Title: Automate the Delineation of Urban River Spaces
Version: 0.1.3
Description: Provides tools to automate the morphological delineation of riverside urban areas, based on a method introduced in Forgaci (2018) <doi:10.7480/abe.2018.31>. Delineation entails the identification of corridor boundaries, segmentation of the corridor, and delineation of the river space. The resulting delineation can be used to characterise spatial phenomena that can be related to the river as a central element.
License: Apache License (>= 2)
URL: https://cityriverspaces.github.io/rcrisp/
BugReports: https://github.com/CityRiverSpaces/rcrisp/issues
Depends: R (>= 4.1.0)
Imports: dbscan, dplyr, lwgeom, osmdata, rcoins, rlang, rstac, sf, sfheaders, sfnetworks, stringr, terra, tidygraph, units, visor
Suggests: ggplot2, knitr, purrr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-27 08:58:58 UTC; claudiuforgaci
Author: Claudiu Forgaci [aut, cre, cph] , Francesco Nattino [aut] , Fakhereh Alidoost [ctb] , Meiert Willem Grootes [ctb] , Netherlands eScience Center [fnd]
Maintainer: Claudiu Forgaci <c.forgaci@tudelft.nl>
Repository: CRAN
Date/Publication: 2025-07-02 15:10:02 UTC

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New package r4pde with initial version 0.1.0
Package: r4pde
Title: Companion to R for Plant Disease Epidemiology Book
Version: 0.1.0
Description: Datasets and utility functions to support the book "R for Plant Disease Epidemiology" (R4PDE). It includes functions for quantifying disease, assessing spatial patterns, and modeling plant disease epidemics based on weather predictors. These tools are intended for teaching and research in plant disease epidemiology. Several functions are based on classical and contemporary methods, including those discussed in Laurence V. Madden, Gareth Hughes, and Frank van den Bosch (2007) <doi:10.1094/9780890545058>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: boot, car, cowplot, dplyr, ggplot2, igraph, interval, lubridate, nasapower, progress, purrr, rlang, stats, survival, tidyr
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
URL: https://github.com/emdelponte/r4pde
BugReports: https://github.com/emdelponte/r4pde/issues
NeedsCompilation: no
Packaged: 2025-06-27 18:58:21 UTC; emersondelponte
Author: Emerson Del Ponte [aut, cre]
Maintainer: Emerson Del Ponte <delponte@ufv.br>
Repository: CRAN
Date/Publication: 2025-07-02 15:30:01 UTC

More information about r4pde at CRAN
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New package pwSEM with initial version 1.0.0
Package: pwSEM
Title: Piecewise Structural Equation Modelling
Version: 1.0.0
Description: Conduct dsep tests (piecewise SEM) of a directed, or mixed, acyclic graph without latent variables (but possibly with implicitly marginalized or conditioned latent variables that create dependent errors) based on linear, generalized linear, or additive modelswith or without a nesting structure for the data. Also included are functions to do desp tests step-by-step,exploratory path analysis, and Monte Carlo X2 probabilities. This package accompanies Shipley, B, (2026).Cause and Correlation in Biology: A User's Guide to Path Analysis, StructuralEquations and Causal Inference (3rd edition). Cambridge University Press.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: copula, gamm4, ggm, igraph, mgcv, poolr, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-27 14:05:10 UTC; shij1401
Author: Bill Shipley [aut, cre]
Maintainer: Bill Shipley <Bill.Shipley@USherbrooke.ca>
Repository: CRAN
Date/Publication: 2025-07-02 15:20:05 UTC

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New package autograph with initial version 0.1.2
Package: autograph
Title: Automatic Plotting of Many Graphs
Version: 0.1.2
Date: 2025-06-27
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
URL: https://stocnet.github.io/autograph/
BugReports: https://github.com/stocnet/autograph/issues
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0), manynet
Imports: cli, dplyr (>= 1.1.0), ggdendro, ggplot2, tidyr
Suggests: testthat (>= 3.0.0), patchwork
Enhances: RSiena
NeedsCompilation: no
Packaged: 2025-06-27 20:37:39 UTC; hollway
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>
Repository: CRAN
Date/Publication: 2025-07-02 15:30:06 UTC

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New package FKmL with initial version 0.1.1
Package: FKmL
Title: Fréchet Distance-Based K-Means and Extensions for Longitudinal Data
Version: 0.1.1
Description: Implements shape-based clustering algorithms for multidimensional longitudinal data based on the Fréchet distance. It implements two main methods: MFKmL (Multidimensional Fréchet distance-based K-means for Longitudinal data), an extension of the K-means algorithm using the Fréchet distance originally developed in the 'kmlShape' package, adapted for multidimensional trajectories; and SFKmL (Sparse multidimensional Fréchet distance-based K-medoids for Longitudinal data), a K-medoids-based clustering algorithm that incorporates variable selection. These tools are designed to enhance clustering performance in high-dimensional longitudinal data settings, particularly those with time delays, variations in trajectory speed, irregular sampling intervals, and noise. This package implements methods derived from Kang et al. (2023) <doi:10.1007/s11222-023-10237-z>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr, ggplot2, proxy, abind
Depends: R (>= 4.3)
NeedsCompilation: no
Packaged: 2025-06-16 07:13:23 UTC; user
Author: Ji Hyun Park [aut, cre], Soon-Sun Kwon [aut], Ilsuk Kang [aut, ctb]
Maintainer: Ji Hyun Park <jhn1105@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-02 15:00:03 UTC

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New package libimath with initial version 3.1.9-4
Package: libimath
Title: 'Imath' Computer Graphics Linear Algebra Static Library
Version: 3.1.9-4
Description: Provides a static library for 'Imath' (see <https://github.com/AcademySoftwareFoundation/Imath>), a library for functions and data types common in computer graphics applications, including a 16-bit floating-point type.
License: BSD_3_clause + file LICENSE
SystemRequirements: GNU Make, cmake
Encoding: UTF-8
Biarch: TRUE
NeedsCompilation: yes
Packaged: 2025-06-30 03:21:02 UTC; tyler
Author: Tyler Morgan-Wall [aut, cre] , Andrew Kunz [ctb, cph], Antonio Rojas [ctb, cph], Brecht Van Lommel [ctb, cph], Cary Phillips [ctb, cph], Christina Tempelaar-Lietz [ctb, cph], Christopher Kulla [ctb, cph], Daniel Kaneider [ctb, cph], Dirk Lemstra [ctb [...truncated...]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-02 12:10:02 UTC

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New package distfreereg with initial version 1.1
Package: distfreereg
Title: Distribution-Free Goodness-of-Fit Testing for Regression
Version: 1.1
Depends: R (>= 4.4)
Imports: calculus, clue, lme4, methods
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
Date: 2025-07-01
Maintainer: Jesse Miller <mill9116@umn.edu>
Description: Implements the distribution-free goodness-of-fit regression test for the mean structure of parametric models introduced in Khmaladze (2021) <doi:10.1007/s10463-021-00786-3>. The test is implemented for general functions with minimal distributional assumptions as well as common models (e.g., lm, glm) with the usual assumptions.
License: GPL-3
NeedsCompilation: no
Packaged: 2025-06-30 22:31:17 UTC; Jesse
Author: Jesse Miller [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-02 09:00:12 UTC

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Tue, 01 Jul 2025

New package kinesis with initial version 0.2.0
Package: kinesis
Title: 'shiny' Applications for the 'tesselle' Packages
Version: 0.2.0
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Description: A collection of 'shiny' applications for the 'tesselle' packages <https://www.tesselle.org/>. This package provides applications for archaeological data analysis and visualization. These mainly, but not exclusively, include applications for chronological modelling (e.g. matrix seriation, aoristic analysis) and count data analysis (e.g. diversity measures, compositional data analysis).
License: GPL (>= 3)
URL: https://codeberg.org/tesselle/kinesis, https://packages.tesselle.org/kinesis/, https://tesselle.r-universe.dev/kinesis
BugReports: https://codeberg.org/tesselle/kinesis/issues
Depends: R (>= 4.2)
Imports: aion (>= 1.5.0), arkhe (>= 1.11.0), bslib (>= 0.9.0), config (>= 0.3.2), datasets, dimensio (>= 0.14.0), folio (>= 1.5.1), grDevices, gt (>= 1.0.0), isopleuros (>= 1.4.0), kairos (>= 2.3.0), khroma (>= 1.16.0), mirai (>= 2.3.0), nexus (>= 0.6.0), sass (>= 0.4.10), shiny (>= 1.10.0), stats, tabula (>= 3.3.1), utils
Suggests: fontquiver, rsvg, svglite, tinysnapshot, tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-26 14:52:49 UTC; nfrerebeau
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Repository: CRAN
Date/Publication: 2025-07-01 15:00:02 UTC

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New package gilmour with initial version 0.1.0
Package: gilmour
Title: The Interpretation of Adjusted Cp Statistic
Version: 0.1.0
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Description: Several methods may be found for selecting a subset of regressors from a set of k candidate variables in multiple linear regression. One possibility is to evaluate all possible regression models and comparing them using Mallows's Cp statistic (Cp) according to Gilmour original study. Full model is calculated, all possible combinations of regressors are generated, adjusted Cp for each submodel are computed, and the submodel with the minimum adjusted value Cp (ModelMin) is calculated. To identify the final model, the package applies a sequence of hypothesis tests on submodels nested within ModelMin, following the approach outlined in Gilmour's original paper. For more details see the help of the function final_model() and the original study (1996) <doi:10.2307/2348411>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-06-26 08:34:23 UTC; djose
Author: Josef Dolejs [aut, cre]
Maintainer: Josef Dolejs <josef.dolejs@uhk.cz>
Repository: CRAN
Date/Publication: 2025-07-01 14:50:02 UTC

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Mon, 30 Jun 2025

New package cgaim with initial version 1.0.2
Package: cgaim
Title: Constrained Groupwise Additive Index Models
Version: 1.0.2
Description: Fits constrained groupwise additive index models and provides functions for inference and interpretation of these models. The method is described in Masselot, Chebana, Campagna, Lavigne, Ouarda, Gosselin (2022) "Constrained groupwise additive index models" <doi:10.1093/biostatistics/kxac023>.
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 2.1.0)
Imports: graphics, stats, scam, scar, quadprog, osqp, limSolve, Matrix, grDevices, methods, MASS, cgam, mgcv, gratia, doParallel, coneproj, TruncatedNormal, foreach
URL: https://github.com/PierreMasselot/cgaim
NeedsCompilation: no
Packaged: 2025-06-29 19:52:04 UTC; PierreMasselot
Author: Pierre Masselot [aut, cre]
Maintainer: Pierre Masselot <pierre.masselot@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2025-06-30 07:10:02 UTC

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Sun, 29 Jun 2025

New package vecvec with initial version 0.1.0
Package: vecvec
Title: Construct Mixed Type Data Structures with Vectors of Vectors
Version: 0.1.0
Description: Mixed type vectors are useful for combining semantically similar classes. Some examples of semantically related classes include time across different granularities (e.g. daily, monthly, annual) and probability distributions (e.g. Normal, Uniform, Poisson). These groups of vector types typically share common statistical operations which vary in results with the attributes of each vector. The 'vecvec' data structure facilitates efficient storage and computation across multiple vectors within the same object.
License: MIT + file LICENSE
Imports: rlang, vctrs
Suggests: lifecycle, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-25 17:50:18 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2025-06-29 10:40:02 UTC

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New package SimBaRepro with initial version 0.1.0
Package: SimBaRepro
Title: Simulation-Based, Finite-Sample Inference via Repro Samples
Version: 0.1.0
Description: Functions for obtaining p-values (for hypothesis tests), confidence intervals, and multivariate confidence sets. In particular, the method is compatible with differentially private dataset, as long as the privacy mechanism is known. For more details, see Awan and Wang (2024), "Simulation-based, Finite-sample Inference for Privatized Data", <doi:10.48550/arXiv.2303.05328>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ddalpha, ggplot2
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-25 14:51:50 UTC; xinlongdu
Author: Xinlong Du [aut, cre], Zhanyu Wang [aut], Jordan Awan [aut]
Maintainer: Xinlong Du <du339@purdue.edu>
Repository: CRAN
Date/Publication: 2025-06-29 10:20:06 UTC

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New package GJRM.data with initial version 0.1-1
Package: GJRM.data
Version: 0.1-1
Author: Giampiero Marra [aut, cre]
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>
Title: Data Sets for Copula Additive Distributional Regression Using R
Description: Data sets used in the book Marra and Radice (2025, ISBN:9781032973111) "Copula Additive Distributional Regression Using R", for illustrating the fitting of various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association.
Depends: R (>= 3.6.0)
Suggests: GJRM
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-06-25 16:25:43 UTC; Giampiero
Repository: CRAN
Date/Publication: 2025-06-29 10:30:02 UTC

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New package ecoteach with initial version 0.1.0
Package: ecoteach
Title: Educational Datasets for Ecology and Agriculture
Version: 0.1.0
Description: A collection of curated educational datasets for teaching ecology and agriculture concepts. Includes data on wildlife monitoring, plant treatments, and ecological observations with documentation and examples for educational use. All datasets are derived from published scientific studies and are available under CC0 or compatible licenses.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-25 14:29:39 UTC; weh90
Author: W. Edwin Harris [aut, cre, cph]
Maintainer: W. Edwin Harris <weh9000@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-29 10:20:02 UTC

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Sat, 28 Jun 2025

New package robustsur with initial version 0.0-8
Package: robustsur
Version: 0.0-8
Date: 2025-06-27
Title: Robust Estimation for Seemingly Unrelated Regression Models
Maintainer: Claudio Agostinelli <claudio.agostinelli@unitn.it>
Description: Data sets are often corrupted by outliers. When data are multivariate outliers can be classified as case-wise or cell-wise. The latters are particularly challenge to handle. We implement a robust estimation procedure for Seemingly Unrelated Regression Models which is able to cope well with both type of outliers. Giovanni Saraceno, Fatemah Alqallaf, Claudio Agostinelli (2021) <doi:10.48550/arXiv.2107.00975>.
Depends: R (>= 3.0.0), robustbase, robreg3S
Imports: Matrix, GSE
Suggests: systemfit
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-06-28 08:00:20 UTC; claudio
Author: Claudio Agostinelli [aut, cre] , Giovanni Saraceno [aut]
Repository: CRAN
Date/Publication: 2025-06-28 22:20:01 UTC

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New package MLCIRTwithin with initial version 2.1.2
Package: MLCIRTwithin
Title: Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality
Version: 2.1.2
Date: 2025-06-27
Author: Francesco Bartolucci [aut, cre], Silvia Bacci [aut]
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>
Description: Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parametrizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version together with possibility of constraints on all model parameters.
License: GPL (>= 2)
Depends: R (>= 2.0.0), MASS, limSolve, MultiLCIRT
NeedsCompilation: no
Packaged: 2025-06-28 08:43:04 UTC; francescobartolucci
Repository: CRAN
Date/Publication: 2025-06-28 22:20:09 UTC

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New package LMest with initial version 3.2.6
Package: LMest
Title: Generalized Latent Markov Models
Description: Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.
Version: 3.2.6
Date: 2025-06-27
Author: Francesco Bartolucci [aut, cre], Silvia Pandolfi [aut], Fulvia Pennoni [aut], Alessio Farcomeni [ctb], Alessio Serafini [ctb]
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>
Depends: R (>= 3.5.0)
Imports: MASS, MultiLCIRT, stats, mvtnorm, Formula(>= 1.2-3), mix, utils, graphics, diagram(>= 1.6.4), mclust(>= 5.4.6), scatterplot3d(>= 0.3-41), grDevices
Suggests: knitr, rmarkdown, bookdown
VignetteBuilder: knitr
NeedsCompilation: yes
Repository: CRAN
LazyLoad: yes
Encoding: UTF-8
ByteCompile: true
License: GPL (>= 2)
Packaged: 2025-06-28 08:54:08 UTC; francescobartolucci
Date/Publication: 2025-06-28 22:20:13 UTC

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New package exactLTRE with initial version 0.1.2
Package: exactLTRE
Title: An Exact Method for Life Table Response Experiment (LTRE) Analysis
Version: 0.1.2
Description: Life Table Response Experiments (LTREs) are a method of comparative demographic analysis. The purpose is to quantify how the difference or variance in vital rates (stage-specific survival, growth, and fertility) among populations contributes to difference or variance in the population growth rate, "lambda." We provide functions for one-way fixed design and random design LTRE, using either the classical methods that have been in use for several decades, or an fANOVA-based exact method that directly calculates the impact on lambda of changes in matrix elements, for matrix elements and their interactions. The equations and descriptions for the classical methods of LTRE analysis can be found in Caswell (2001, ISBN: 0878930965), and the fANOVA-based exact methods are described in Hernandez et al. (2023) <doi:10.1111/2041-210X.14065>. We also provide some demographic functions, including generation time from Bienvenu and Legendre (2015) <doi:10.1086/681104>. For implementation of [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: matrixcalc, popdemo
NeedsCompilation: no
Packaged: 2025-06-28 10:12:56 UTC; chrissy
Author: Christina Hernandez [aut, cre, cph]
Maintainer: Christina Hernandez <christinahernan@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-06-28 22:20:05 UTC

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New package EMMAgeo with initial version 0.9.9
Package: EMMAgeo
Title: End-Member Modelling of Grain-Size Data
Version: 0.9.9
Date: 2025-06-28
Maintainer: Michael Dietze <michael.dietze@uni-goettingen.de>
Description: End-member modelling analysis of grain-size data is an approach to unmix a data set's underlying distributions and their contribution to the data set. EMMAgeo provides deterministic and robust protocols for that purpose.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.5)
Imports: GPArotation, nnls, caTools, shiny
NeedsCompilation: no
Packaged: 2025-06-28 08:28:11 UTC; dietze2
Author: Michael Dietze [cre, aut, trl], Elisabeth Dietze [ctb]
Repository: CRAN
Date/Publication: 2025-06-28 22:20:19 UTC

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New package SingleCellComplexHeatMap with initial version 0.1.2
Package: SingleCellComplexHeatMap
Title: Complex Heatmaps for Single Cell Expression Data with Dual Information Display
Version: 0.1.2
Maintainer: XueCheng Fang <xuecheng328@gmail.com>
Description: Creates complex heatmaps for single cell RNA-seq data that simultaneously display gene expression levels (as color intensity) and expression percentages (as circle sizes). Supports gene grouping, cell type annotations, and time point comparisons. Built on top of 'ComplexHeatmap' and integrates with 'Seurat' objects. For more details see Gu (2022) <doi:10.1002/imt2.43> and Hao (2024) <doi:10.1038/s41587-023-01767-y>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: ComplexHeatmap (>= 2.10.0), Seurat (>= 4.0.0), dplyr (>= 1.0.0), tidyr (>= 1.0.0), RColorBrewer, circlize (>= 0.4.0), grid, grDevices, stats, magrittr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, viridis, devtools, BiocManager, ggsci, SeuratObject
URL: https://github.com/FanXuRong/SingleCellComplexHeatMap
BugReports: https://github.com/FanXuRong/SingleCellComplexHeatMap/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-24 15:35:42 UTC; fanxr
Author: XueCheng Fang [aut, cre]
Repository: CRAN
Date/Publication: 2025-06-28 17:40:02 UTC

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New package flir with initial version 0.5.0
Package: flir
Title: Find and Fix Lints in R Code
Version: 0.5.0
Description: Lints are code patterns that are not optimal because they are inefficient, forget corner cases, or are less readable. 'flir' provides a small set of functions to detect those lints and automatically fix them. It builds on 'astgrepr', which itself uses the 'Rust' crate 'ast-grep' to parse and navigate R code.
Depends: R (>= 4.2)
Imports: astgrepr (>= 0.1.0), cli, crayon, data.table, digest, fs, git2r, rprojroot, yaml
Suggests: diffviewer, glue, knitr, patrick, rex, rlang, rmarkdown, rstudioapi, shiny, spelling, testthat (>= 3.0.0), tibble, usethis, utils, withr
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://flir.etiennebacher.com, https://github.com/etiennebacher/flir
BugReports: https://github.com/etiennebacher/flir/issues
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-06-24 18:08:38 UTC; etienne
Author: Etienne Bacher [aut, cre, cph]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>
Repository: CRAN
Date/Publication: 2025-06-28 17:10:02 UTC

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New package door with initial version 0.0.1
Package: door
Title: Design of Clinical Trials with the Desirability of Outcome Ranking Methodology
Version: 0.0.1
Description: Statistical methods and related graphical representations for the Desirability of Outcome Ranking (DOOR) methodology. The DOOR is a paradigm for the design, analysis, interpretation of clinical trials and other research studies based on the patient centric benefit risk evaluation. The package provides functions for generating summary statistics from individual level/summary level datasets, conduct DOOR probability-based inference, and visualization of the results. For more details of DOOR methodology, see "Handbook of Generalized Pairwise Comparisons", Chapter 13 <doi:10.1201/9781003390855>. For more explanation of the statistical methods and the graphics, see the technical document and user manual of the DOOR 'Shiny' apps at <https://methods.bsc.gwu.edu>.
Imports: dplyr, tidyr, ggplot2, forestplot, scales, methods, labeling
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-06-24 19:52:36 UTC; yijie
Author: Yijie He [aut, cre], Qihang Wu [ctb], Toshimitsu Hamasaki [ctb]
Maintainer: Yijie He <yih148@gwu.edu>
Repository: CRAN
Date/Publication: 2025-06-28 17:20:02 UTC

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New package bregr with initial version 1.0.0
Package: bregr
Title: Easy and Efficient Batch Processing of Regression Models
Version: 1.0.0
Maintainer: Shixiang Wang <w_shixiang@163.com>
Description: Easily process batches of univariate or multivariate regression models. Returns results in a tidy format and generates visualization plots for straightforward interpretation (Wang, Shixiang, et al. (2021) <DOI:10.48550/arXiv.2110.14232>).
License: GPL (>= 3)
URL: https://github.com/WangLabCSU/bregr, https://wanglabcsu.github.io/bregr/
BugReports: https://github.com/WangLabCSU/bregr/issues
Depends: R (>= 4.1.0)
Imports: broom, broom.helpers, cli, dplyr, forestploter, ggplot2, glue, insight, lifecycle, parallel, purrr, rlang (>= 1.1.0), S7, survival, tibble, utils, vctrs (>= 0.5.0)
Suggests: ggnewscale, ggstats, ggstatsplot, gtsummary, knitr, rmarkdown, testthat (>= 3.0.0), visreg
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-24 14:36:29 UTC; wsx
Author: Shixiang Wang [aut, cre] , Yun Peng [aut] , Chenyang Shu [aut]
Repository: CRAN
Date/Publication: 2025-06-28 17:00:02 UTC

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New package ARCHISSUR with initial version 0.0.1
Package: ARCHISSUR
Title: Active Recovery of a Constrained and Hidden Set by Stepwise Uncertainty Reduction Strategy
Version: 0.0.1
Description: Stepwise Uncertainty Reduction criterion and algorithm for sequentially learning a Gaussian Process Classifier as described in Menz et al. (2025).
License: GPL-3
Encoding: UTF-8
Imports: GPCsign, DiceKriging, KrigInv, future.apply, stats, TruncatedNormal, randtoolbox, rgenoud, graphics
Suggests: future, DiceDesign, testthat, knitr
NeedsCompilation: no
Packaged: 2025-06-24 16:44:40 UTC; menzm
Author: Morgane Menz [aut, cre], Miguel Munoz-Zuniga [aut], Delphine Sinoquet [aut], Naoual Serraji [ctb]
Maintainer: Morgane Menz <morgane.menz@ifpen.fr>
Repository: CRAN
Date/Publication: 2025-06-28 17:00:07 UTC

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New package MultiLCIRT with initial version 2.12
Package: MultiLCIRT
Title: Multidimensional Latent Class Item Response Theory Models
Version: 2.12
Date: 2025-06-28
Author: Francesco Bartolucci [aut, cre], Silvia Bacci [aut], Michela Gnaldi [aut]
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>
Description: Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parameterizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version (since 2.1).
License: GPL (>= 2)
Depends: R (>= 2.0.0), MASS, limSolve
NeedsCompilation: yes
Packaged: 2025-06-28 04:26:02 UTC; francescobartolucci
Repository: CRAN
Date/Publication: 2025-06-28 06:30:02 UTC

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Fri, 27 Jun 2025

New package smvr with initial version 0.1.0
Package: smvr
Title: Simple Implementation of Semantic Versioning
Version: 0.1.0
Description: Simple implementation of Semantic Versioning 2.0.0 on the 'vctrs' package. This package provides a simple way to create, compare, and manipulate semantic versions in R. It is designed to be lightweight and easy to use.
License: MIT + file LICENSE
URL: https://eitsupi.github.io/smvr/, https://github.com/eitsupi/smvr
BugReports: https://github.com/eitsupi/smvr/issues
Depends: R (>= 4.1)
Imports: cli (>= 3.4.0), rlang (>= 1.1.0), vctrs
Suggests: dplyr, testthat (>= 3.0.0), tibble
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-24 12:31:56 UTC; rstudio
Author: Tatsuya Shima [aut, cre]
Maintainer: Tatsuya Shima <ts1s1andn@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-27 13:40:02 UTC

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New package gemR with initial version 1.2.1
Encoding: UTF-8
Package: gemR
Title: General Effect Modelling
Version: 1.2.1
Date: 2025-06-23
Description: Two-step modeling with separation of sources of variation through analysis of variance and subsequent multivariate modeling through a range of unsupervised and supervised statistical methods. Separation can focus on removal of interfering effects or isolation of effects of interest. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.
Depends: R (>= 3.5.0)
Imports: ggplot2, scales, gridExtra, glmnet, pls, plsVarSel, mixlm, HDANOVA, lme4, pracma, neuralnet
License: GPL
LazyData: TRUE
NeedsCompilation: no
Packaged: 2025-06-24 09:18:35 UTC; kristian
Author: Kristian Hovde Liland [aut, cre], Ellen Faergestad Mosleth [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>
Repository: CRAN
Date/Publication: 2025-06-27 13:10:02 UTC

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New package ClimaRep with initial version 0.6
Package: ClimaRep
Title: Estimating Climate Representativeness
Version: 0.6
Description: Offers tools to estimate the climate representativeness of defined areas and quantifies and analyzes its transformation under future climate change scenarios. Approaches described in Mingarro and Lobo (2018) <doi:10.32800/abc.2018.41.0333> and Mingarro and Lobo (2022) <doi:10.1017/S037689292100014X>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: ggplot2, terra, utils, stats, sf, tidyterra
NeedsCompilation: no
Packaged: 2025-06-24 11:38:33 UTC; mario
Author: Mario Mingarro Lopez [aut, cre]
Maintainer: Mario Mingarro Lopez <mario_mingarro@mncn.csic.es>
Repository: CRAN
Date/Publication: 2025-06-27 13:30:13 UTC

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New package clampSeg with initial version 1.2-0
Package: clampSeg
Title: Idealisation of Patch Clamp Recordings
Version: 1.2-0
Depends: R (>= 3.3.0)
Imports: stepR (>= 2.1.0), lowpassFilter, stats, methods
Suggests: testthat, R.cache (>= 0.10.0), R.rsp
Description: Implements the model-free multiscale idealisation approaches: Jump-Segmentation by MUltiResolution Filter (JSMURF), Hotz et al. (2013) <doi:10.1109/TNB.2013.2284063>, JUmp Local dEconvolution Segmentation filter (JULES), Pein et al. (2018) <doi:10.1109/TNB.2018.2845126>, and Heterogeneous Idealization by Local testing and DEconvolution (HILDE), Pein et al. (2021) <doi:10.1109/TNB.2020.3031202>. Further details on how to use them are given in the accompanying vignette.
VignetteBuilder: R.rsp
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-24 09:28:44 UTC; pein
Author: Pein Florian [aut, cre], Timo Aspelmeier [ctb]
Maintainer: Pein Florian <f.pein@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2025-06-27 13:30:08 UTC

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New package BayesRegDTR with initial version 1.0.1
Package: BayesRegDTR
Title: Bayesian Regression for Dynamic Treatment Regimes
Version: 1.0.1
Description: Methods to estimate optimal dynamic treatment regimes using Bayesian likelihood-based regression approach as described in Yu, W., & Bondell, H. D. (2023) <doi:10.1093/jrsssb/qkad016> Uses backward induction and dynamic programming theory for computing expected values. Offers options for future parallel computing.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.13-1), mvtnorm, foreach, progressr, stats, future
Depends: doRNG
Suggests: cli, testthat (>= 3.0.0), doFuture
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
URL: https://github.com/jlimrasc/BayesRegDTR
BugReports: https://github.com/jlimrasc/BayesRegDTR/issues
NeedsCompilation: yes
Packaged: 2025-06-24 10:16:44 UTC; jerem
Author: Jeremy Lim [aut, cre], Weichang Yu [aut]
Maintainer: Jeremy Lim <jeremylim23@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-27 13:20:02 UTC

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New package avseqmc with initial version 1.0.1
Package: avseqmc
Title: Anytime-Valid Sequential Estimation of Monte-Carlo p-Values
Version: 1.0.1
Description: Anytime-valid sequential estimation of the p-value of a test calibrated by Monte-Carlo simulation, as described in Stoepker & Castro (2024) <doi:10.48550/arXiv.2409.18908>.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Author: Ivo V. Stoepker [aut, cre], Rui M. Castro [aut]
Maintainer: Ivo V. Stoepker <i.v.stoepker@tue.nl>
NeedsCompilation: no
Packaged: 2025-06-24 12:42:48 UTC; s136539
Repository: CRAN
Date/Publication: 2025-06-27 13:40:05 UTC

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New package safeframe with initial version 1.0.0
Package: safeframe
Title: Generic Data Tagging and Validation Tool
Version: 1.0.0
Description: Provides tools to help tag and validate data according to user-specified rules. The 'safeframe' class adds variable level attributes to 'data.frame' columns. Once tagged, these variables can be seamlessly used in downstream analyses, making data pipelines clearer, more robust, and more reliable.
License: MIT + file LICENSE
URL: https://epiverse-trace.github.io/safeframe/, https://github.com/epiverse-trace/safeframe
BugReports: https://github.com/epiverse-trace/safeframe/issues
Depends: R (>= 4.1.0)
Imports: checkmate, lifecycle, rlang, tidyselect
Suggests: callr, dplyr, knitr, magrittr, rmarkdown, spelling, testthat, tibble
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2025-06-24 08:18:01 UTC; chartgerink
Author: Chris Hartgerink [cre, aut] , Hugo Gruson [rev] , data.org [cph]
Maintainer: Chris Hartgerink <chris@data.org>
Repository: CRAN
Date/Publication: 2025-06-27 13:00:02 UTC

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New package REMixed with initial version 0.1.0
Package: REMixed
Title: Regularized Estimation in Mixed Effect Model
Version: 0.1.0
Maintainer: Auriane Gabaut <auriane.gabaut@inria.fr>
Description: Implementation of an algorithm in two steps to estimate parameters of a model whose latent dynamics are inferred through latent processes, jointly regularized. This package uses 'Monolix' software (<https://monolixsuite.slp-software.com/>), which provide robust statistical method for non-linear mixed effects modeling. 'Monolix' must have been installed prior to use.
SystemRequirements: 'Monolix' (<https://monolixsuite.slp-software.com/>)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: deSolve, Rsmlx, doSNOW, dplyr, fastGHQuad, ggplot2, snow, stringr, Rmpfr
Depends: R (>= 3.5.0), foreach
NeedsCompilation: no
Packaged: 2025-06-23 12:19:34 UTC; auria
Author: Auriane Gabaut [aut, cre], Ariane Bercu [aut], Melanie Prague [aut], Cecile Proust-Lima [aut]
Repository: CRAN
Date/Publication: 2025-06-27 12:50:06 UTC

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New package mdsOpt with initial version 0.7-7
Package: mdsOpt
Title: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data
Version: 0.7-7
Date: 2025-06-26
Depends: R (>= 3.6.0), smacof, clusterSim, symbolicDA
Imports: animation, plotrix, spdep
Suggests: testthat, R.rsp
VignetteBuilder: R.rsp
Description: Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued data via metric MDS (ratio, interval, mspline).Selecting the optimal multidimensional scaling procedure for interval-valued data by varying all combinations of normalization and optimization methods.Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties. (Borg, I., Groenen, P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Walesiak, M. (2016) <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017) <doi:10.15611/ekt.2017.3.01>).
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-27 09:59:17 UTC; andrzej
Author: Marek Walesiak [aut] , Andrzej Dudek [aut, cre]
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Repository: CRAN
Date/Publication: 2025-06-27 12:10:02 UTC

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New package detectXOR with initial version 0.1.0
Package: detectXOR
Title: XOR Pattern Detection and Visualization
Version: 0.1.0
Description: Provides tools for detecting XOR-like patterns in variable pairs in two-class data sets. Includes visualizations for pattern exploration and reporting capabilities with both text and HTML output formats.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), ggh4x (>= 0.2.3), tibble (>= 3.1.8), reshape2 (>= 1.4.4), glue (>= 1.6.0), magrittr (>= 2.0.0), stats, ggthemes, DescTools (>= 0.99.50), utils, methods, grDevices, knitr, kableExtra, htmltools, base64enc
Suggests: testthat (>= 3.0.0), rmarkdown, doParallel, foreach, parallel (>= 4.2.0), future (>= 1.28.0), future.apply (>= 1.10.0), pbmcapply (>= 1.5.0)
SystemRequirements: GNU make
Depends: R (>= 3.5.0)
URL: https://github.com/JornLotsch/detectXOR
BugReports: https://github.com/JornLotsch/detectXOR/issues
NeedsCompilation: no
Packaged: 2025-06-24 05:54:01 UTC; joern
Author: Jorn Lotsch [aut, cre] , Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>
Repository: CRAN
Date/Publication: 2025-06-27 13:00:06 UTC

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New package oppr with initial version 1.0.5
Package: oppr
Version: 1.0.5
Title: Optimal Project Prioritization
Description: A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from <https://www.gurobi.com>) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits. For more information, see Hanson et al. (2019) <doi:10.1111/2041-210X.13264>.
Imports: utils, methods, stats, Matrix, magrittr (>= 1.5), uuid (>= 0.1.2), proto (>= 1.0.0), cli (>= 1.0.1), assertthat (>= 0.2.0), tibble (>= 2.0.0), ape (>= 5.2), tidytree (>= 0.3.3), ggplot2 (>= 3.5.0), viridisLite (>= 0.3.0), lpSolveAPI (>= 5.5.2.0.17), withr (>= 2.4.1), rlang (>= 1.1.3)
Suggests: testthat (>= 2.0.0), knitr (>= 1.20), roxygen2 (>= 6.1.0), rmarkdown (>= 1.10), gurobi (>= 8.0.0), Rsymphony (>= 0.1.28), ggtree (>= 2.4.2), lpsymphony (>= 1.10.0), shiny (>= 1.2.0), rhandsontable (>= 0.3.7), tidyr (>= 0.8.2), fansi (>= 1.0.6)
Depends: R(>= 3.4.0)
LinkingTo: Rcpp (>= 0.12.19), RcppArmadillo (>= 0.9.100.5.0), RcppProgress (>= 0.4.1)
License: GPL-3
LazyData: true
URL: https://prioritizr.github.io/oppr/
BugReports: https://github.com/prioritizr/oppr/issues
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2025-06-26 23:39:54 UTC; jeff
Author: Jeffrey O Hanson [aut, cre] , Richard Schuster [aut] , Matthew Strimas-Mackey [aut] , Joseph R Bennett [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>
Repository: CRAN
Date/Publication: 2025-06-27 07:30:02 UTC

More information about oppr at CRAN
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Thu, 26 Jun 2025

New package symbolicDA with initial version 0.7-2
Package: symbolicDA
Title: Analysis of Symbolic Data
Version: 0.7-2
Date: 2025-06-26
Depends: R(>= 3.6.0), clusterSim,XML
Imports: shapes, e1071, ade4, cluster, RSDA
Description: Symbolic data analysis methods: importing/exporting data from ASSO XML Files, distance calculation for symbolic data (Ichino-Yaguchi, de Carvalho measure), zoom star plot, 3d interval plot, multidimensional scaling for symbolic interval data, dynamic clustering based on distance matrix, HINoV method for symbolic data, Ichino's feature selection method, principal component analysis for symbolic interval data, decision trees for symbolic data based on optimal split with bagging, boosting and random forest approach (+visualization), kernel discriminant analysis for symbolic data, Kohonen's self-organizing maps for symbolic data, replication and profiling, artificial symbolic data generation. (Milligan, G.W., Cooper, M.C. (1985) <doi:10.1007/BF02294245>, Breiman, L. (1996), <doi:10.1007/BF00058655>, Hubert, L., Arabie, P. (1985), <doi:10.1007%2FBF01908075>, Ichino, M., & Yaguchi, H. (1994), <doi:10.1109/21.286391>, Rand, W.M. (1971) <doi:10.1080/01621459.1971 [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-26 11:07:52 UTC; andrzej
Author: Andrzej Dudek [aut, cre], Marcin Pelka [aut], Justyna Wilk [aut] , Marek Walesiak [aut]
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Repository: CRAN
Date/Publication: 2025-06-26 13:40:06 UTC

More information about symbolicDA at CRAN
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Wed, 25 Jun 2025

New package scMappR with initial version 1.0.12
Package: scMappR
Title: Single Cell Mapper
Version: 1.0.12
Description: The single cell mapper (scMappR) R package contains a suite of bioinformatic tools that provide experimentally relevant cell-type specific information to a list of differentially expressed genes (DEG). The function "scMappR_and_pathway_analysis" reranks DEGs to generate cell-type specificity scores called cell-weighted fold-changes. Users input a list of DEGs, normalized counts, and a signature matrix into this function. scMappR then re-weights bulk DEGs by cell-type specific expression from the signature matrix, cell-type proportions from RNA-seq deconvolution and the ratio of cell-type proportions between the two conditions to account for changes in cell-type proportion. With cwFold-changes calculated, scMappR uses two approaches to utilize cwFold-changes to complete cell-type specific pathway analysis. The "process_dgTMatrix_lists" function in the scMappR package contains an automated scRNA-seq processing pipeline where users input scRNA-seq count data, which is made compatible for [...truncated...]
Depends: R (>= 4.0.0)
Imports: ggplot2, pheatmap, graphics, Seurat, GSVA, stats, utils, downloader, pcaMethods, grDevices, gProfileR, limSolve, gprofiler2, pbapply, ADAPTS, reshape,
License: GPL-3
URL:
Encoding: UTF-8
LazyData: true
Packaged: 2025-06-25 15:02:56 UTC; dsokolowski
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Author: Dustin Sokolowski [aut, cre], Mariela Faykoo-Martinez [aut], Lauren Erdman [aut], Houyun Hou [aut], Cadia Chan [aut], Helen Zhu [aut], Melissa Holmes [aut], Anna Goldenberg [aut], Michael Wilson [aut]
Maintainer: Dustin Sokolowski <djsokolowski95@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-25 17:10:02 UTC

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New package MAPCtools with initial version 0.1.0
Package: MAPCtools
Title: Multivariate Age-Period-Cohort (MAPC) Modeling for Health Data
Version: 0.1.0
Description: Bayesian multivariate age-period-cohort (MAPC) models for analyzing health data, with support for model fitting, visualization, stratification, and model comparison. Inference focuses on identifiable cross-strata differences, as described by Riebler and Held (2010) <doi:10.1093/biostatistics/kxp037>. Methods for handling complex survey data via the 'survey' package are included, as described in Mercer et al. (2014) <doi:10.1016/j.spasta.2013.12.001>.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: dplyr, tidyselect, fastDummies, stringr, rlang, tidyr, ggplot2, viridis, scales, purrr, grid, gridExtra, ggpubr, tibble, survey
URL: https://github.com/LarsVatten/MAPCtools
BugReports: https://github.com/LarsVatten/MAPCtools/issues
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, INLA
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-06-23 15:06:36 UTC; lavat
Author: Lars Vatten [aut, cre]
Maintainer: Lars Vatten <lavatt99@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-25 15:40:02 UTC

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New package kvkapiR with initial version 0.1.2
Package: kvkapiR
Title: Interface to the Dutch Chamber of Commerce (KvK) API
Version: 0.1.2
Description: Access business registration data from the Dutch Chamber of Commerce (Kamer van Koophandel, KvK) through their official API <https://developers.kvk.nl/>. Search for companies by name, location, or registration number. Retrieve detailed business profiles, establishment information, and company name histories. Built on 'httr2' for robust API interaction with automatic pagination, error handling, and usage tracking.
License: MIT + file LICENSE
URL: https://coeneisma.github.io/kvkapiR/, https://github.com/coeneisma/kvkapiR/
BugReports: https://github.com/coeneisma/kvkapiR/issues
Imports: cli, dplyr, httr2, lifecycle, purrr, tibble, tidyr, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-22 21:05:52 UTC; coeneisma
Author: Coen Eisma [aut, cre, cph]
Maintainer: Coen Eisma <coeneisma@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-06-25 15:20:02 UTC

More information about kvkapiR at CRAN
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New package imageRy with initial version 0.1.1
Package: imageRy
Title: Modify and Share Images
Version: 0.1.1
Description: Tools for manipulating, visualizing, and exporting raster images in R. Designed as an educational resource for students learning the basics of remote sensing, the package provides user-friendly functions to apply color ramps, export RGB composites, and create multi-frame visualizations. Built on top of the 'terra' and 'ggplot2' packages. See <https://github.com/ducciorocchini/imageRy> for more details and examples.
Encoding: UTF-8
Language: en-GB
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: terra, viridis, grDevices, graphics, stats, ggplot2, methods, rlang
Suggests: knitr, testthat (>= 3.0.0), ggridges, devtools
NeedsCompilation: no
Packaged: 2025-06-23 16:56:41 UTC; ludov
Author: Duccio Rocchini [aut], Ludovico Chieffallo [aut, cre], Giovanni Andrea Nocera [ctb], Giacomo Panza [ctb], Michele Torresani [aut], Elisa Thouverai [aut]
Maintainer: Ludovico Chieffallo <ludovico.chieffallo2@unibo.it>
Repository: CRAN
Date/Publication: 2025-06-25 16:00:02 UTC

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New package HOIFCar with initial version 0.2.1
Package: HOIFCar
Title: Covariate Adjustment in RCT by Higher-Order Influence Functions
Version: 0.2.1
Maintainer: Xinbo Wang <cinbo_w@sjtu.edu.cn>
Description: Estimates treatment effects using covariate adjustment methods in Randomized Clinical Trials (RCT) motivated by higher-order influence functions (HOIF). Provides point estimates, oracle bias, variance, and approximate variance for HOIF-adjusted estimators. For methodology details, see Zhao et al. (2024) <doi:10.48550/arXiv.2411.08491>.
License: MIT + file LICENSE
Suggests: mvtnorm
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-23 15:49:41 UTC; xinbowang
Author: Sihui Zhao [aut], Xinbo Wang [cre, aut], Liu Liu [ctb]
Repository: CRAN
Date/Publication: 2025-06-25 15:40:06 UTC

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New package m2b with initial version 1.1.0
Package: m2b
Title: Movement to Behaviour Inference using Random Forest
Version: 1.1.0
Description: Prediction of behaviour from movement characteristics using observation and random forest for the analyses of movement data in ecology. From movement information (speed, bearing...) the model predicts the observed behaviour (movement, foraging...) using random forest. The model can then extrapolate behavioural information to movement data without direct observation of behaviours. The specificity of this method relies on the derivation of multiple predictor variables from the movement data over a range of temporal windows. This procedure allows to capture as much information as possible on the changes and variations of movement and ensures the use of the random forest algorithm to its best capacity. The method is very generic, applicable to any set of data providing movement data together with observation of behaviour.
VignetteBuilder: knitr
Depends: R (>= 3.3.0)
Imports: geosphere, caTools, ggplot2, randomForest, caret, methods, graphics, stats,
Suggests: adehabitatLT, moveHMM, knitr, DiagrammeR, rmarkdown
License: GPL-3
URL: https://github.com/ldbk/m2b
Encoding: UTF-8
LazyData: true
Date: 2025-06-24
Maintainer: Laurent Dubroca <laurent.dubroca@gmail.com>
NeedsCompilation: no
Packaged: 2025-06-24 16:51:11 UTC; moi
Author: Laurent Dubroca [aut, cre], Andrea Thiebault [aut]
Repository: CRAN
Date/Publication: 2025-06-25 12:20:20 UTC

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New package GOCompare with initial version 1.0.2.2
Package: GOCompare
Title: Comprehensive GO Terms Comparison Between Species
Version: 1.0.2.2
Description: Supports the assessment of functional enrichment analyses obtained for several lists of genes and provides a workflow to analyze them between two species via weighted graphs. Methods are described in Sosa et al. (2023) <doi:10.1016/j.ygeno.2022.110528>.
URL: https://github.com/ccsosa/GOCompare
BugReports: https://github.com/ccsosa/GOCompare/issues
Depends: R (>= 4.0.0)
Imports: base (>= 3.5), utils (>= 3.5), methods (>= 3.5), stats, grDevices, ape, vegan, ggplot2, ggrepel, igraph, parallel, stringr, mathjaxr,
License: GPL (>= 3)
LazyData: true
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-06-24 14:13:39 UTC; user
Author: Chrystian Camilo Sosa [aut, cre, cph] , Diana Carolina Clavijo-Buritica [aut], Mauricio Alberto Quimbaya [aut], Maria Victoria Diaz [ctb], Camila Riccio Rengifo [ctb], Nicolas Lopez-Rozo [ctb], Victor Hugo Garcia Merchan [aut, ctb], Arlen James Mosqu [...truncated...]
Maintainer: Chrystian Camilo Sosa <ccsosaa@javerianacali.edu.co>
Repository: CRAN
Date/Publication: 2025-06-25 12:30:12 UTC

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New package psgp with initial version 0.3-22
Package: psgp
Version: 0.3-22
Date: 2025-06-19
Title: Projected Spatial Gaussian Process Methods
Depends: R (>= 3.5.0), intamap
Imports: gstat, automap, sp, doParallel, foreach, parallel, Rcpp
Suggests: sf
LinkingTo: Rcpp, RcppArmadillo (>= 0.2.0)
Description: Implements projected sparse Gaussian process Kriging ('Ingram et. al.', 2008, <doi:10.1007/s00477-007-0163-9>) as an additional method for the 'intamap' package. More details on implementation ('Barillec et. al.', 2010, <doi:10.1016/j.cageo.2010.05.008>).
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2025-06-24 19:53:20 UTC; bri
Date/Publication: 2025-06-25 12:00:02 UTC
Maintainer: Ben Ingram <ingrambr.work@gmail.com>
Author: Ben Ingram [aut, cre] , Remi Barillec [aut], Jon Olav Skoien [aut]

More information about psgp at CRAN
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New package neotoma2 with initial version 1.0.6
Package: neotoma2
Title: Working with the Neotoma Paleoecology Database
Date: 2025-06-23
Version: 1.0.6
URL: https://github.com/NeotomaDB/neotoma2
BugReports: https://github.com/NeotomaDB/neotoma2/issues
Description: Access and manipulation of data using the Neotoma Paleoecology Database. <https://api.neotomadb.org/api-docs/>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat, knitr, pkgdown, rmarkdown, ggplot2, Bchron, covr
Imports: rlang, magrittr, sf, geojsonsf, purrr, lubridate, httr, jsonlite, methods, dplyr, gtools, leaflet, assertthat, stringr, progress, wk, uuid, utils, tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-25 00:09:28 UTC; sedv8808
Author: Dominguez Vidana Socorro [aut, cre] , Simon Goring [aut]
Maintainer: Dominguez Vidana Socorro <s.dominguez@ht-data.com>
Repository: CRAN
Date/Publication: 2025-06-25 12:00:06 UTC

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Tue, 24 Jun 2025

New package limSolve with initial version 2.0.1
Package: limSolve
Version: 2.0.1
Title: Solving Linear Inverse Models
Author: Karline Soetaert [aut, cre], Karel Van den Meersche [aut], Dick van Oevelen [aut], Charles L. Lawson [ctb] , Richard J. Hanson [ctb] , Jack Dongarra [ctb] , Cleve Moler [ctb]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>
Depends: R (>= 2.10)
Imports: quadprog, lpSolve, MASS
Description: Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems.
License: GPL
Copyright: inst/COPYRIGHTS
LazyData: yes
NeedsCompilation: yes
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Repository: CRAN
Packaged: 2025-06-24 08:51:21 UTC; karlines
Date/Publication: 2025-06-24 13:30:13 UTC

More information about limSolve at CRAN
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New package abn with initial version 3.1.8
Package: abn
Title: Modelling Multivariate Data with Additive Bayesian Networks
Version: 3.1.8
Date: 2025-06-24
Description: The 'abn' R package facilitates Bayesian network analysis, a probabilistic graphical model that derives from empirical data a directed acyclic graph (DAG). This DAG describes the dependency structure between random variables. The R package 'abn' provides routines to help determine optimal Bayesian network models for a given data set. These models are used to identify statistical dependencies in messy, complex data. Their additive formulation is equivalent to multivariate generalised linear modelling, including mixed models with independent and identically distributed (iid) random effects. The core functionality of the 'abn' package revolves around model selection, also known as structure discovery. It supports both exact and heuristic structure learning algorithms and does not restrict the data distribution of parent-child combinations, providing flexibility in model creation and analysis. The 'abn' package uses Laplace approximations for metric estimation and includes wrappers to the [...truncated...]
License: GPL (>= 3)
URL: https://r-bayesian-networks.org/, https://github.com/furrer-lab/abn
BugReports: https://github.com/furrer-lab/abn/issues
Depends: R (>= 4.0.0)
Imports: doParallel, foreach, graph, lme4, mclogit, methods, nnet, Rcpp, Rgraphviz, rjags, stringi
Suggests: bookdown, boot, brglm, devtools (>= 2.4.5), ggplot2, gridExtra, INLA, knitr, Matrix, MatrixModels (>= 0.5.3), microbenchmark, R.rsp, RhpcBLASctl, rmarkdown, testthat (>= 3.0.0), entropy, moments, R6
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Encoding: UTF-8
LazyData: TRUE
SystemRequirements: pkg-config, cmake, gsl, jpeg, gdal, geos, proj, udunits-2, openssl, libcurl, jags
NeedsCompilation: yes
Packaged: 2025-06-24 08:39:51 UTC; root
Author: Matteo Delucchi [aut, cre] , Reinhard Furrer [aut] , Gilles Kratzer [aut] , Fraser Iain Lewis [aut] , Jonas I. Liechti [ctb] , Marta Pittavino [ctb] , Kalina Cherneva [ctb]
Maintainer: Matteo Delucchi <matteo.delucchi@math.uzh.ch>
Repository: CRAN
Date/Publication: 2025-06-24 13:30:26 UTC

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New package notionR with initial version 0.0.9
Package: notionR
Title: R Wrapper for 'Notion' API
Version: 0.0.9
Date: 2025-06-09
Maintainer: Eduardo Flores <eduardo@enelmargen.org>
Description: Provides functions to query databases and notes in 'Notion', using the official REST API. To learn more about the functionality of the 'Notion' API, see <https://developers.notion.com/>.
License: MIT + file LICENSE
URL: <https://www.enelmargen.org/notionR/>
Depends: R (>= 2.10)
Imports: dplyr, httr, httr2, stringi, tibble, tidyr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-21 11:36:51 UTC; edulomas
Author: Eduardo Flores [aut, cre]
Repository: CRAN
Date/Publication: 2025-06-24 09:20:02 UTC

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New package ggmRSCU with initial version 0.1.0
Package: ggmRSCU
Title: Visualizing Multi-Species Relative Synonymous Codon Usage and Extensible Data Exploration
Version: 0.1.0
Author: Xunhuan Ding [aut, cre, cph], Mingru Fu [ctb], Guojun Xing [ctb], Xinxin Ding [ctb], Xiaoli Liu [aut, ths], Tao Sun [aut, ths]
Maintainer: Xunhuan Ding <xunhuanding@163.com>
Description: Facilitates efficient visualization of Relative Synonymous Codon Usage patterns across species. Based on analytical outputs from 'codonW', 'MEGA', and 'Phylosuite', it supports multi-species 'RSCU' comparisons and allows users to explore visual analysis of structurally similar datasets.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, dplyr, ggplot2, patchwork, purrr, rlang, stats, tidyr, utils
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-06-21 04:34:47 UTC; 神说他住在东海
Repository: CRAN
Date/Publication: 2025-06-24 09:10:02 UTC

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New package boilerplate with initial version 1.3.0
Package: boilerplate
Title: Managing and Compiling Manuscript Templates
Version: 1.3.0
Author: Joseph Bulbulia [aut, cre]
Maintainer: Joseph Bulbulia <joseph.bulbulia@gmail.com>
Description: Managing and generating standardised text for methods and results sections of scientific reports. It handles template variable substitution and supports hierarchical organisation of text through dot-separated paths. The package supports both RDS and JSON database formats, enabling version control and cross-language compatibility.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, digest, jsonlite, jsonvalidate, tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://go-bayes.github.io/boilerplate/, https://github.com/go-bayes/boilerplate
BugReports: https://github.com/go-bayes/boilerplate/issues
NeedsCompilation: no
Packaged: 2025-06-21 04:16:01 UTC; joseph
Repository: CRAN
Date/Publication: 2025-06-24 09:10:06 UTC

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New package aamatch with initial version 0.3.7
Package: aamatch
Title: Artless Automatic Multivariate Matching for Observational Studies
Version: 0.3.7
Maintainer: Paul Rosenbaum <rosenbaum@wharton.upenn.edu>
Description: Implements a simple version of multivariate matching using a propensity score, near-exact matching, near-fine balance, and robust Mahalanobis distance matching (Rosenbaum 2020 <doi:10.1146/annurev-statistics-031219-041058>). You specify the variables, and the program does everything else.
License: GPL-2
Encoding: UTF-8
Imports: iTOS, stats
Suggests: DOS2, sensitivity2x2xk, sensitivitymv, weightedRank, xtable
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-06-21 15:13:31 UTC; rosenbap
Author: Paul Rosenbaum [aut, cre]
Repository: CRAN
Date/Publication: 2025-06-24 09:40:02 UTC

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New package vitals with initial version 0.1.0
Package: vitals
Title: Large Language Model Evaluation
Version: 0.1.0
Description: A port of 'Inspect', a widely adopted 'Python' framework for large language model evaluation. Specifically aimed at 'ellmer' users who want to measure the effectiveness of their large language model-based products, the package supports prompt engineering, tool usage, multi-turn dialog, and model graded evaluations.
License: MIT + file LICENSE
URL: https://github.com/tidyverse/vitals, https://vitals.tidyverse.org
BugReports: https://github.com/tidyverse/vitals/issues
Depends: R (>= 4.1)
Imports: cli, dplyr, ellmer (>= 0.2.1), glue, httpuv, jsonlite, purrr, R6, rlang, rstudioapi, S7, tibble, tidyr, withr
Suggests: ggplot2, here, htmltools, knitr, ordinal, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-20 14:24:36 UTC; simoncouch
Author: Simon Couch [aut, cre] , Max Kuhn [ctb], Hadley Wickham [ctb] , Mine Cetinkaya-Rundel [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>
Repository: CRAN
Date/Publication: 2025-06-24 09:00:02 UTC

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New package paddleR with initial version 0.1.2
Package: paddleR
Title: Wrapper for 'Paddle' API (Application Programming Interface)
Version: 0.1.2
Description: A wrapper for 'Paddle' - The Merchant of Record for digital products API (Application Programming Interface) <https://developer.paddle.com/api-reference/overview>. Provides functions to manage and analyze products, customers, invoices and many more.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: httr2, rlang
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://arnold-kakas.github.io/paddleR/, https://github.com/Arnold-Kakas/paddleR
BugReports: https://github.com/Arnold-Kakas/paddleR/issues
NeedsCompilation: no
Packaged: 2025-06-20 06:30:52 UTC; Arnold
Author: Arnold Kakas [aut, cre, cph]
Maintainer: Arnold Kakas <kakasarnold@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-24 08:20:02 UTC

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New package OpenBARD with initial version 0.0.1
Package: OpenBARD
Title: Open British Arboricultural Record Dataset
Version: 0.0.1
Description: Data used in compiling the Handbook of UK Urban Tree Allometric Equations and Size Characteristics (Fennel 2024). The data include measurements of height, crown radius and diameter at breast height (DBH) for UK urban trees. For more details see Fennell (2024) Handbook of UK Urban Tree Allometric Equations and Size Characteristics (Version 1.4). <doi:10.13140/RG.2.2.28745.04961>.
URL: https://codeberg.org/drdcarpenter/OpenBARD
BugReports: https://codeberg.org/drdcarpenter/OpenBARD/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-20 11:42:22 UTC; danc
Author: Dan Carpenter [aut, cre, cpt]
Maintainer: Dan Carpenter <dan@dan-carpenter.co.uk>
Repository: CRAN
Date/Publication: 2025-06-24 08:50:09 UTC

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New package movedesign with initial version 0.3.1
Package: movedesign
Title: Study Design Toolbox for Movement Ecology Studies
Version: 0.3.1
Maintainer: Ines Silva <i.simoes-silva@hzdr.de>
Description: Toolbox and 'shiny' application to help researchers design movement ecology studies, focusing on two key objectives: estimating home range areas, and estimating fine-scale movement behavior, specifically speed and distance traveled. It provides interactive simulations and methodological guidance to support study planning and decision-making. The application is described in Silva et al. (2023) <doi:10.1111/2041-210X.14153>.
License: GPL (>= 3)
URL: https://ecoisilva.github.io/movedesign/, https://ecoisilva.r-universe.dev/movedesign
BugReports: https://github.com/ecoisilva/movedesign/issues
Depends: R (>= 3.5.0)
Imports: bayestestR, bsplus, combinat, config (>= 0.3.1), crayon, ctmm (>= 0.6.1), data.table, dplyr, fontawesome, gdtools, ggiraph, ggplot2, ggpubr, ggtext, golem (>= 0.3.2), grDevices, gsl, lubridate, parallel, parsedate, quarto, reactable, rintrojs, rlang, scales, shiny (>= 1.7.1), shinyalert, shinybusy, shinydashboard, shinydashboardPlus, shinyFeedback, shinyjs, shinyWidgets, stats, stringr, terra, tidyr, utils, viridis
Suggests: knitr, rmarkdown, shinytest2
VignetteBuilder: knitr, quarto
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-19 11:09:55 UTC; simoes48
Author: Ines Silva [cre, aut, cph]
Repository: CRAN
Date/Publication: 2025-06-24 08:50:01 UTC

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New package fastpolicytree with initial version 1.0
Package: fastpolicytree
Title: Constructs Policy Trees from Covariate and Reward Data
Version: 1.0
Description: Constructs optimal policy trees which provide a rule-based treatment prescription policy. Input is covariate and reward data, where, typically, the rewards will be doubly robust reward estimates. This package aims to construct optimal policy trees more quickly than the existing 'policytree' package and is intended to be used alongside that package. For more details see Cussens, Hatamyar, Shah and Kreif (2025) <doi:10.48550/arXiv.2506.15435>.
URL: https://github.com/jcussens/tailoring
Suggests: policytree
Imports: Rcpp (>= 1.0.7)
LinkingTo: Rcpp
Encoding: UTF-8
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2025-06-20 11:36:28 UTC; uw20605
Author: James Cussens [aut, cre] , Julia Hatamyar [ctb], Vishalie Shah [ctb], University of Bristol [cph], MRC [fnd]
Maintainer: James Cussens <james.cussens@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2025-06-24 08:50:06 UTC

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New package NMRphasing with initial version 1.0.7
Package: NMRphasing
Title: Phase Error Correction and Baseline Correction for One Dimensional ('1D') 'NMR' Data
Version: 1.0.7
Maintainer: Aixiang Jiang <aijiang@bccrc.ca>
Depends: R (>= 4.3.0)
Suggests: knitr, rmarkdown, ggpubr, conflicted
VignetteBuilder: knitr
Imports: stats, baseline, splines, MassSpecWavelet, signal
Description: There are three distinct approaches for phase error correction, they are: a single linear model with a choice of optimization functions, multiple linear models with optimization function choices and a shrinkage-based method. The methodology is based on our new algorithms and various references (Binczyk et al. (2015) <doi:10.1186/1475-925X-14-S2-S5>,Chen et al. (2002) <doi:10.1016/S1090-7807(02)00069-1>, de Brouwer (2009) <doi:10.1016/j.jmr.2009.09.017>, Džakula (2000) <doi:10.1006/jmre.2000.2123>, Ernst (1969) <doi:10.1016/0022-2364(69)90003-1>, Liland et al. (2010) <doi:10.1366/000370210792434350>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-23 20:07:47 UTC; aijiang
Author: Aixiang Jiang [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-06-24 08:00:12 UTC

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New package libdeflate with initial version 1.24-2
Package: libdeflate
Title: DEFLATE Compression and Static Library
Version: 1.24-2
Description: Whole-buffer DEFLATE-based compression and decompression of raw vectors using the 'libdeflate' library (see <https://github.com/ebiggers/libdeflate>). Provides the user with additional control over the speed and the quality of DEFLATE compression compared to the fixed level of compression offered in R's 'memCompress()' function. Also provides the 'libdeflate' static library and 'C' headers along with a 'CMake' target and 'package‑config' file that ease linking of 'libdeflate' in packages that compile and statically link bundled libraries using 'CMake'.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: GNU make, CMake
BugReports: https://github.com/tylermorganwall/libdeflate/issues
NeedsCompilation: yes
Packaged: 2025-06-24 02:47:51 UTC; tyler
Author: Tyler Morgan-Wall [aut, cre] , Eric Biggers [aut, cph], Google LLC [cph], Kevin Ushey [cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-24 08:00:07 UTC

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Mon, 23 Jun 2025

New package thamesmix with initial version 0.1.1
Package: thamesmix
Title: Truncated Harmonic Mean Estimator of the Marginal Likelihood for Mixtures
Version: 0.1.1
Description: Implements the truncated harmonic mean estimator (THAMES) of the reciprocal marginal likelihood for uni- and multivariate mixture models using posterior samples and unnormalized log posterior values via reciprocal importance sampling. Metodiev, Irons, Perrot-Dockès, Latouche & Raftery (2025) <doi:10.48550/arXiv.2504.21812>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: uniformly, stats, sparsediscrim, quadprog, igraph, gor, Rfast, mvtnorm, combinat, withr
VignetteBuilder: knitr
Suggests: multimode, knitr, bayesmix, label.switching, LaplacesDemon, markdown
NeedsCompilation: no
Packaged: 2025-06-19 14:42:12 UTC; metodiev
Author: Martin Metodiev [aut, cre, cph] , Nicholas J. Irons [aut] , Marie Perrot-Dockes [aut]
Maintainer: Martin Metodiev <m.metodiev@tutanota.com>
Repository: CRAN
Date/Publication: 2025-06-23 11:10:02 UTC

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New package ManyIVsNets with initial version 0.1.1
Package: ManyIVsNets
Title: Environmental Phillips Curve Analysis with Multiple Instrumental Variables and Networks
Version: 0.1.1
Date: 2025-06-07
Description: Comprehensive toolkit for Environmental Phillips Curve analysis featuring multidimensional instrumental variable creation, transfer entropy causal discovery, network analysis, and state-of-the-art econometric methods. Implements geographic, technological, migration, geopolitical, financial, and natural risk instruments with robust diagnostics and visualization. Provides 24 different instrumental variable approaches with empirical validation. Methods based on Phillips (1958) <doi:10.1111/j.1468-0335.1958.tb00003.x>, transfer entropy by Schreiber (2000) <doi:10.1103/PhysRevLett.85.461>, and weak instrument tests by Stock and Yogo (2005) <doi:10.1017/CBO9780511614491.006>.
License: MIT + file LICENSE
URL: https://github.com/avishekb9/ManyIVsNets, https://avishekb9.github.io/ManyIVsNets/
BugReports: https://github.com/avishekb9/ManyIVsNets/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: dplyr, readr, igraph, ggplot2, ggraph, AER, lmtest, sandwich, magrittr
Suggests: testthat (>= 3.0.0), rmarkdown, pkgdown, knitr, RTransferEntropy, tidyr, viridis, countrycode, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-06-19 18:07:52 UTC; avisek
Author: Avishek Bhandari [aut, cre, cph]
Maintainer: Avishek Bhandari <bavisek@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-23 11:20:02 UTC

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New package DNAmf with initial version 0.1.0
Package: DNAmf
Title: Diffusion Non-Additive Model with Tunable Precision
Version: 0.1.0
Maintainer: Junoh Heo <heojunoh@msu.edu>
Description: Performs Diffusion Non-Additive (DNA) model proposed by Heo, Boutelet, and Sung (2025+) <doi:10.48550/arXiv.2506.08328> for multi-fidelity computer experiments with tuning parameters. The DNA model captures nonlinear dependencies across fidelity levels using Gaussian process priors and is particularly effective when simulations at different fidelity levels are nonlinearly correlated. The DNA model targets not only interpolation across given fidelity levels but also extrapolation to smaller tuning parameters including the exact solution corresponding to a zero-valued tuning parameter, leveraging a nonseparable covariance kernel structure that models interactions between the tuning parameter and input variables. Closed-form expressions for the predictive mean and variance enable efficient inference and uncertainty quantification. Hyperparameters in the model are estimated via maximum likelihood estimation.
License: GPL-3
Encoding: UTF-8
Imports: plgp, stats, methods, lhs, fields, mvtnorm
Suggests: RNAmf
NeedsCompilation: no
Packaged: 2025-06-19 08:33:46 UTC; junoh
Author: Junoh Heo [aut, cre], Romain Boutelet [aut], Chih-Li Sung [aut]
Repository: CRAN
Date/Publication: 2025-06-23 11:20:06 UTC

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New package slopes with initial version 1.0.1
Package: slopes
Title: Calculate Slopes of Roads, Rivers and Trajectories
Version: 1.0.1
Description: Calculates the slope (longitudinal gradient or steepness) of linear geographic features such as roads (for more details, see Ariza-López et al. (2019) <doi:10.1038/s41597-019-0147-x>) and rivers (for more details, see Cohen et al. (2018) <doi:10.1016/j.jhydrol.2018.06.066>). It can use local Digital Elevation Model (DEM) data or download DEM data via the 'ceramic' package. The package also provides functions to add elevation data to linestrings and visualize elevation profiles.
License: GPL-3
URL: https://github.com/ropensci/slopes/, https://docs.ropensci.org/slopes/
BugReports: https://github.com/ropensci/slopes/issues
Encoding: UTF-8
LazyData: true
Imports: sf, raster, methods, pbapply, geodist, colorspace
Depends: R (>= 2.10)
Suggests: terra, knitr, rmarkdown, ceramic, bookdown, covr, testthat, osmextract, stplanr, dplyr, tmap, leaflet, bench, rlang
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-19 00:30:49 UTC; robin
Author: Robin Lovelace [aut, cre, cph] , Rosa Felix [aut] , Joey Talbot [aut] , Goncalo Matos [aut] , Dan Olner [rev] , Andy Teucher [rev]
Maintainer: Robin Lovelace <rob00x@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-23 10:40:02 UTC

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New package SelfControlledCaseSeries with initial version 6.0.0
Package: SelfControlledCaseSeries
Title: Self-Controlled Case Series
Version: 6.0.0
Date: 2025-06-18
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Description: Execute the self-controlled case series (SCCS) design using observational data in the OMOP Common Data Model. Extracts all necessary data from the database and transforms it to the format required for SCCS. Age and season can be modeled using splines assuming constant hazard within calendar months. Event-dependent censoring of the observation period can be corrected for. Many exposures can be included at once (MSCCS), with regularization on all coefficients except for the exposure of interest. Includes diagnostics for all major assumptions of the SCCS.
VignetteBuilder: knitr
URL: https://ohdsi.github.io/SelfControlledCaseSeries/, https://github.com/OHDSI/SelfControlledCaseSeries
BugReports: https://github.com/OHDSI/SelfControlledCaseSeries/issues
Depends: R (>= 4.1.0), Cyclops (>= 3.4.0), DatabaseConnector (>= 6.0.0), Andromeda (>= 1.0.0)
Imports: SqlRender (>= 1.16.0), dplyr (>= 1.0.0), Rcpp (>= 1.0.9), ParallelLogger (>= 3.4.0), EmpiricalCalibration, splines, ggplot2 (>= 3.4.0), methods, utils, checkmate, readr, ResultModelManager, jsonlite, digest, R6
Suggests: zip, testthat, knitr, rmarkdown, Eunomia, withr
License: Apache License 2.0
LinkingTo: Rcpp
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2025-06-18 15:53:19 UTC; schuemie
Author: Martijn Schuemie [aut, cre], Patrick Ryan [aut], Trevor Shaddox [aut], Marc Suchard [aut]
Repository: CRAN
Date/Publication: 2025-06-23 10:20:19 UTC

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New package SCE with initial version 1.0.0
Package: SCE
Title: Stepwise Clustered Ensemble
Version: 1.0.0
Description: Implementation of Stepwise Clustered Ensemble (SCE) and Stepwise Cluster Analysis (SCA) for multivariate data analysis. The package provides comprehensive tools for feature selection, model training, prediction, and evaluation in hydrological and environmental modeling applications. Key functionalities include recursive feature elimination (RFE), Wilks feature importance analysis, model validation through out-of-bag (OOB) validation, and ensemble prediction capabilities. The package supports both single and multivariate response variables, making it suitable for complex environmental modeling scenarios. For more details see Li et al. (2021) <doi:10.5194/hess-25-4947-2021>.
URL: https://doi.org/10.5194/hess-25-4947-2021
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats (>= 3.5.0), utils (>= 3.5.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-06-19 04:40:23 UTC; lkl98
Author: Kailong Li [aut, cre]
Maintainer: Kailong Li <lkl98509509@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-23 10:50:02 UTC

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New package neutroSurvey with initial version 0.1.0
Package: neutroSurvey
Title: Neutrosophic Survey Data Analysis
Version: 0.1.0
Maintainer: Pankaj Das <pankaj.iasri@gmail.com>
Description: Apply neutrosophic regression type estimator and performs neutrosophic interval analysis including metric calculations for survey data.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: moments, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-19 09:06:14 UTC; Pankaj
Author: Neha Purwar [aut], Kaustav Aditya [aut], Pankaj Das [aut, cre] , Bharti Bharti [aut]
Repository: CRAN
Date/Publication: 2025-06-23 11:00:02 UTC

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New package MinTriadic with initial version 1.0.0
Package: MinTriadic
Title: Extension to the 'Lolog' Package for 'Triadic' Network Statistics
Version: 1.0.0
Date: 2025-06-08
Description: Provides an extension to the 'lolog' package by introducing the minTriadicClosure() statistic to capture higher-order interactions among triplets of nodes. This function facilitates improved modelling of group formations and 'triadic' closure in networks. A smoothing parameter has been incorporated to avoid numerical errors.
License: GPL (>= 3)
Imports: Rcpp (>= 0.10.0), lolog
Suggests: network, rmarkdown, knitr, sna, testthat
LinkingTo: Rcpp, lolog, BH
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2025-06-18 19:35:27 UTC; 22080824
VignetteBuilder: knitr
Author: Lekshmy Hema Nair [aut, cre]
Maintainer: Lekshmy Hema Nair <lekshmyrohit25@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-23 10:30:05 UTC

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New package midr with initial version 0.5.0
Package: midr
Title: Learning from Black-Box Models by Maximum Interpretation Decomposition
Version: 0.5.0
Description: The goal of 'midr' is to provide a model-agnostic method for interpreting and explaining black-box predictive models by creating a globally interpretable surrogate model. The package implements 'Maximum Interpretation Decomposition' (MID), a functional decomposition technique that finds an optimal additive approximation of the original model. This approximation is achieved by minimizing the squared error between the predictions of the black-box model and the surrogate model. The theoretical foundations of MID are described in Iwasawa & Matsumori (2025) [Forthcoming], and the package itself is detailed in Asashiba et al. (2025) <doi:10.48550/arXiv.2506.08338>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, grDevices, RcppEigen, rlang, stats, utils
Suggests: datasets, ggplot2, khroma, knitr, RColorBrewer, rmarkdown, scales, shapviz, testthat, viridisLite
URL: https://github.com/ryo-asashi/midr, https://ryo-asashi.github.io/midr/
BugReports: https://github.com/ryo-asashi/midr/issues
NeedsCompilation: no
Packaged: 2025-06-18 15:39:05 UTC; daysb
Author: Ryoichi Asasihba [aut, cre], Hirokazu Iwasawa [aut], Reiji Kozuma [ctb]
Maintainer: Ryoichi Asasihba <ryoichi.asashiba@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-23 10:10:02 UTC

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New package letsHerp with initial version 0.1.0
Package: letsHerp
Title: An Interface to the Reptile Database
Version: 0.1.0
URL: https://github.com/joao-svalencar/letsHerp
BugReports: https://github.com/joao-svalencar/letsHerp/issues
Description: Provides tools to retrieve and summarize taxonomic information and synonymy data for reptile species using data scraped from The Reptile Database website (<https://reptile-database.reptarium.cz/>). Outputs include clean and structured data frames useful for ecological, evolutionary, and conservation research.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, parallel, pbapply, pbmcapply, rvest, stringr, tidyr, utils, xml2
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-18 16:13:43 UTC; joaosvalencar
Author: Joao Paulo dos Santos Vieira-Alencar [aut, cre] , Christoph Liedtke [aut]
Maintainer: Joao Paulo dos Santos Vieira-Alencar <joaopaulo.valencar@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-23 10:30:02 UTC

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New package kerdiest with initial version 1.3-1
Package: kerdiest
Title: Nonparametric Kernel Estimation of Distribution Function
Version: 1.3-1
Date: 2025-06-18
Author: Alejandro Quintela-del-Rio [aut], Graciela Estevez-Perez [aut], Ignacio Lopez-de-Ullibarri [cre]
Maintainer: Ignacio Lopez-de-Ullibarri <ignacio.lopezdeullibarri@udc.es>
Depends: R (>= 4.5.0)
Suggests: chron, date, evir
Description: Nonparametric kernel distribution function estimation is performed. Three bandwidth selectors are implemented: the plug-in selectors of Altman and Leger and of Polansky and Baker, and the cross-validation selector of Bowman, Hall and Prvan. The exceedance function, the mean return period and the return level are also computed. For details, see Quintela-del-Río and Estévez-Pérez (2012) <doi:10.18637/jss.v050.i08>.
License: GPL (>= 2)
LazyLoad: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-18 15:45:41 UTC; ilu
Repository: CRAN
Date/Publication: 2025-06-23 10:20:06 UTC

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New package clinpubr with initial version 1.0.1
Package: clinpubr
Title: Clinical Publication
Version: 1.0.1
Description: Accelerate the process from clinical data to medical publication, including clinical data cleaning, significant result screening, and the generation of publish-ready tables and figures.
Maintainer: Yue Niu <niuyuesam@163.com>
URL: https://github.com/yotasama/clinpubr, https://gitee.com/yotasama/clinpubr
BugReports: https://github.com/yotasama/clinpubr/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: broom, car, caret, dcurves, DescTools, dplyr, fBasics, forestploter, ggplot2, pROC, ResourceSelection, rlang, rms, rstatix, stringi, stringr, survival, survminer, tableone, tidyr
Suggests: dtplyr, testthat (>= 3.0.0), vdiffr, withr
NeedsCompilation: no
Packaged: 2025-06-18 15:55:43 UTC; niuyu
Author: Yue Niu [aut, cre, cph] , Keyun Wang [aut]
Repository: CRAN
Date/Publication: 2025-06-23 10:20:14 UTC

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Sun, 22 Jun 2025

New package FLSSS with initial version 9.2.8
Package: FLSSS
Title: Mining Rigs for Problems in the Subset Sum Family
Version: 9.2.8
Description: Specialized solvers for combinatorial optimization problems in the Subset Sum family. The solvers differ from the mainstream in the options of (i) restricting subset size, (ii) bounding subset elements, (iii) mining real-value multisets with predefined subset sum errors, (iv) finding one or more subsets in limited time. A novel algorithm for mining the one-dimensional Subset Sum induced algorithms for the multi-Subset Sum and the multidimensional Subset Sum. The multi-threaded framework for the latter offers exact algorithms to the multidimensional Knapsack and the Generalized Assignment problems. Historical updates include (a) renewed implementation of the multi-Subset Sum, multidimensional Knapsack and Generalized Assignment solvers; (b) availability of bounding solution space in the multidimensional Subset Sum; (c) fundamental data structure and architectural changes for enhanced cache locality and better chance of SIMD vectorization; (d) option of mapping floating-point instance to [...truncated...]
License: GPL-3
Encoding: UTF-8
ByteCompile: true
Imports: Rcpp (>= 0.12.13), RcppParallel
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
NeedsCompilation: yes
Repository: CRAN
Packaged: 2025-06-22 04:56:28 UTC; wusuo
Author: Charlie Wusuo Liu [aut, cre]
Maintainer: Charlie Wusuo Liu <liuwusuo@gmail.com>
Date/Publication: 2025-06-22 07:30:02 UTC

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Sat, 21 Jun 2025

New package geosptdb with initial version 1.0-2
Package: geosptdb
Title: Spatio-Temporal Radial Basis Functions with Distance-Based Methods (Optimization, Prediction and Cross Validation)
Version: 1.0-2
Date: 2025-06-21
Maintainer: Carlos Melo <cmelo@udistrital.edu.co>
Depends: R (>= 3.5.0), FD, StatMatch, fields, sp, MASS
Imports: minqa, gsl, geospt, grDevices, methods, stats, utils
Description: Spatio-temporal radial basis functions (optimization, prediction and cross-validation), summary statistics from cross-validation, Adjusting distance-based linear regression model and generation of the principal coordinates of a new individual from Gower's distance.
License: GPL (>= 2)
Encoding: UTF-8
Author: Carlos Melo [aut, cre] , Oscar Melo [aut] , Sandra Melo [aut]
NeedsCompilation: no
Packaged: 2025-06-21 16:33:19 UTC; ASUS
Repository: CRAN
Date/Publication: 2025-06-21 20:10:02 UTC

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New package fluxfinder with initial version 1.1.0
Package: fluxfinder
Title: Parsing, Computation, and Diagnostics for Greenhouse Gas Measurements
Version: 1.1.0
Description: Parse static-chamber greenhouse gas measurement files generated by a variety of instruments; compute flux rates using multi-observation metadata; and generate diagnostic metrics and plots. Designed to be easy to integrate into reproducible scientific workflows.
URL: https://github.com/COMPASS-DOE/fluxfinder
License: MIT + file LICENSE
Encoding: UTF-8
Imports: broom (>= 1.0), jsonlite (>= 1.8), lubridate (>= 1.0), MASS (>= 7.0)
Suggests: gasfluxes, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), withr (>= 2.0)
VignetteBuilder: knitr
BugReports: https://github.com/COMPASS-DOE/fluxfinder/issues
NeedsCompilation: no
Packaged: 2025-06-21 14:51:05 UTC; wilsonsj
Author: Stephanie Wilson [cre] , Ben Bond-Lamberty [aut] , Genevieve Noyce [ctb] , Roberta Bittencourt Peixoto [ctb] , Patrick Megonigal [ctb] , Smithsonian Institution [cph, fnd]
Maintainer: Stephanie Wilson <sjw22120@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-21 16:00:02 UTC

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New package MiscMetabar with initial version 0.14.3
Package: MiscMetabar
Title: Miscellaneous Functions for Metabarcoding Analysis
Version: 0.14.3
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: 2025-06-12 13:27:51 UTC; adrien
Author: Adrien Taudiere [aut, cre, cph]
Maintainer: Adrien Taudiere <adrien.taudiere@zaclys.net>
Repository: CRAN
Date/Publication: 2025-06-21 14:00:02 UTC

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New package geospt with initial version 1.0-6
Package: geospt
Title: Geostatistical Analysis and Design of Optimal Spatial Sampling Networks
Version: 1.0-6
Date: 2025-06-21
Maintainer: Ali Santacruz <amsantac@unal.edu.co>
Depends: R (>= 3.5.0), gstat, genalg, MASS, sp, minqa
Imports: fields, gsl, plyr, TeachingDemos, sgeostat, grDevices, stats, methods, graphics, utils
Description: Estimation of the variogram through trimmed mean, radial basis functions (optimization, prediction and cross-validation), summary statistics from cross-validation, pocket plot, and design of optimal sampling networks through sequential and simultaneous points methods.
License: GPL (>= 2)
BugReports: https://github.com/amsantac/geospt/issues
URL: https://github.com/amsantac/geospt
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Packaged: 2025-06-21 00:13:59 UTC; spaziu
Author: Carlos Melo [aut] , Ali Santacruz [aut, cre], Oscar Melo [aut]
Repository: CRAN
Date/Publication: 2025-06-21 05:00:02 UTC

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Fri, 20 Jun 2025

New package pems.utils with initial version 0.3.0.8
Package: pems.utils
Title: Portable Emissions (and Other Mobile) Measurement System Utilities
Version: 0.3.0.8
Date: 2025-06-20
Description: Utility functions for the handling, analysis and visualisation of data from portable emissions measurement systems ('PEMS') and other similar mobile activity monitoring devices. The package includes a dedicated 'pems' data class that manages many of the quality control, unit handling and data archiving issues that can hinder efforts to standardise 'PEMS' research.
Author: Karl Ropkins [aut, cre], Adrian Felipe Ortega Calle [ctb]
Maintainer: Karl Ropkins <karl.ropkins@gmail.com>
URL: http://pems.r-forge.r-project.org/
Depends: R (>= 2.10.0)
Imports: lattice, loa (>= 0.3.1), methods, utils, grid, baseline, ggplot2, rlang, tibble, dplyr
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-20 15:59:08 UTC; trakradmin
Repository: CRAN
Date/Publication: 2025-06-20 21:30:02 UTC

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Thu, 19 Jun 2025

New package unsum with initial version 0.2.0
Package: unsum
Title: Reconstruct Raw Data from Summary Statistics
Version: 0.2.0
Description: Reconstructs all possible raw data that could have led to reported summary statistics. Provides a wrapper for the 'Rust' implementation of the 'CLOSURE' algorithm.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: cli, ggplot2, nanoparquet, readr, rlang, roundwork, scales, tibble, utils
SystemRequirements: Cargo (Rust's package manager), rustc
URL: https://github.com/lhdjung/unsum, https://lhdjung.github.io/unsum/
BugReports: https://github.com/lhdjung/unsum/issues
Suggests: devtools, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-06-09 18:07:04 UTC; lukas
Author: Lukas Jung [aut, cre], Nathanael Larigaldie [ctb]
Maintainer: Lukas Jung <jung-lukas@gmx.net>
Repository: CRAN
Date/Publication: 2025-06-19 19:20:02 UTC

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New package snowflakeauth with initial version 0.1.2
Package: snowflakeauth
Title: Authentication Helpers for 'Snowflake'
Version: 0.1.2
Description: Authentication helpers for 'Snowflake'. It provides compatibility with authentication approaches supported by the 'Snowflake Connector for Python' <https://pypi.org/project/snowflake-connector-python> and the 'Snowflake CLI' <https://pypi.org/project/snowflake-cli>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, curl, jsonlite, RcppTOML, rlang
Suggests: jose, openssl, testthat (>= 3.0.0), withr
URL: https://posit-dev.github.io/snowflakeauth/, https://github.com/posit-dev/snowflakeauth
BugReports: https://github.com/posit-dev/snowflakeauth/issues
NeedsCompilation: no
Packaged: 2025-06-18 13:05:51 UTC; edavidaja
Author: Aaron Jacobs [aut], E. David Aja [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: E. David Aja <david@posit.co>
Repository: CRAN
Date/Publication: 2025-06-19 15:20:02 UTC

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New package QuantilePeer with initial version 0.0.1
Package: QuantilePeer
Title: Quantile Peer Effect Models
Version: 0.0.1
Date: 2025-07-10
Description: Simulating and estimating peer effect models including the quantile-based specification (Houndetoungan, 2025 <doi:10.48550/arXiv.2506.12920>), and the models with Constant Elasticity of Substitution (CES)-based social norm (Boucher et al., 2024 <doi:10.3982/ECTA21048>).
License: GPL-3
Language: en-US
Encoding: UTF-8
BugReports: https://github.com/ahoundetoungan/QuantilePeer/issues
URL: https://github.com/ahoundetoungan/QuantilePeer
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), formula.tools, Matrix, MASS
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
Suggests: knitr, rmarkdown, PartialNetwork,
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-06-18 12:23:44 UTC; haache
Author: Aristide Houndetoungan [cre, aut]
Maintainer: Aristide Houndetoungan <aristide.houndetoungan@ecn.ulaval.ca>
Repository: CRAN
Date/Publication: 2025-06-19 15:10:02 UTC

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New package pblm with initial version 0.1-12
Package: pblm
Title: Bivariate Additive Marginal Regression for Categorical Responses
Version: 0.1-12
Date: 2025-06-18
Author: Marco Enea [aut, cre, cph], Mikis Stasinopoulos [ctb], Robert Rigby [ctb]
Maintainer: Marco Enea <marco.enea@unipa.it>
Depends: R (>= 4.4.0), Matrix, lattice, splines, MASS
Imports: methods
Description: Bivariate additive categorical regression via penalized maximum likelihood. Under a multinomial framework, the method fits bivariate models where both responses are nominal, ordinal, or a mix of the two. Partial proportional odds models are supported, with flexible (non-)uniform association structures. Various logit types and parametrizations can be specified for both marginals and the association, including Dale’s model. The association structure can be regularized using polynomial-type penalty terms. Additive effects are modeled using P-splines. Standard methods such as summary(), residuals(), and predict() are available.
License: GPL (>= 2)
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: no
URL: https://github.com/MarcoEnea/pblm
BugReports: https://github.com/MarcoEnea/pblm/issues
Packaged: 2025-06-18 13:54:07 UTC; marcoenea
Repository: CRAN
Date/Publication: 2025-06-19 15:20:06 UTC

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New package fractalforest with initial version 1.0.0
Package: fractalforest
Title: Simulate Fractal Trees and Forests
Version: 1.0.0
Description: Create and visualize fractal trees and fractal forests, based on the Lindenmayer system (L-system). For more details see Lindenmayer (1968a) <doi:10.1016/0022-5193(68)90079-9> and Lindenmayer (1968b) <doi:10.1016/0022-5193(68)90080-5>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, purrr, stringi, stringr, magrittr, ggplot2, cowplot, sf, rlang, stats, utils
Suggests: knitr, rmarkdown, spelling, forestmangr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-06-18 13:02:45 UTC; sergio.costa
Author: Sergio Costa [aut, cre, cph] , Gilmara Machado [aut, cph]
Maintainer: Sergio Costa <sergio.vscf@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-19 15:20:10 UTC

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New package eqtesting with initial version 0.1.0
Package: eqtesting
Title: Equivalence Testing Functions
Version: 0.1.0
Maintainer: Jack Fitzgerald <j.f.fitzgerald@vu.nl>
Description: Contains several functions for equivalence testing and practical significance testing. First, the tsti() command provides an automatic computation of three-sided testing results for a given estimate, standard error, and region of practical equivalence. For details, see Goeman, Solari, & Stijnen (2010) <doi:10.1002/sim.4002> and Isager & Fitzgerald (2024) <doi:10.31234/osf.io/8y925>. Second, the lddtest() command performs logarithmic density discontinuity equivalence testing for regression discontinuity designs. For reference, see Fitzgerald (2025) <doi:10.31222/osf.io/2dgrp_v1>.
License: CC BY 4.0
Encoding: UTF-8
URL: https://github.com/jack-fitzgerald/eqtesting
BugReports: https://github.com/jack-fitzgerald/eqtesting/issues
Imports: graphics, stats
Depends: data.table, rdd
NeedsCompilation: no
Packaged: 2025-06-18 14:00:36 UTC; jackfitzgerald
Author: Jack Fitzgerald [aut, cre], Peder Isager [ctb]
Repository: CRAN
Date/Publication: 2025-06-19 15:20:14 UTC

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New package shadowVIMP with initial version 1.0.2
Package: shadowVIMP
Title: Covariate Selection Based on VIMP Permutation-Like Testing
Version: 1.0.2
Description: A statistical method for reducing the number of covariates in an analysis by evaluating Variable Importance Measures (VIMPs) derived from the Random Forest algorithm. It performs statistical tests on the VIMPs and outputs whether the covariate is significant along with the p-values.
License: Apache License (>= 2)
Imports: dplyr, ggforce, ggplot2, ggpubr, magrittr, parallel, patchwork, ranger, rlang, stats, stringr, tidyr
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
URL: https://github.com/OktawiaStaburo/shadowVIMP
BugReports: https://github.com/OktawiaStaburo/shadowVIMP/issues
NeedsCompilation: no
Packaged: 2025-06-18 11:58:37 UTC; oktawia.miluch
Author: Tim Mueller [aut], Oktawia Miluch [aut, cre], Staburo GmbH [cph, fnd]
Maintainer: Oktawia Miluch <oktawia.miluch@staburo.de>
Repository: CRAN
Date/Publication: 2025-06-19 15:00:02 UTC

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New package putior with initial version 0.1.0
Package: putior
Title: "Register In- and Outputs for Workflow Visualization"
Version: 0.1.0
Author: Philipp Thoss [aut, cre]
Maintainer: Philipp Thoss <ph.thoss@gmx.de>
Description: Provides tools for extracting and processing structured annotations from 'R' and 'Python' source files to facilitate workflow visualization. The package scans source files for special 'PUT' annotations that define nodes, connections, and metadata within a data processing workflow. These annotations can then be used to generate visual representations of data flows and processing steps across polyglot software environments. Builds on concepts from literate programming Knuth (1984) <doi:10.1093/comjnl/27.2.97> and utilizes directed acyclic graph (DAG) theory for workflow representation Foraita, Spallek, and Zeeb (2014) <doi:10.1007/978-0-387-09834-0_65>. Diagram generation powered by 'Mermaid' Sveidqvist (2014) <https://mermaid.js.org/>.
Language: en-US
License: MIT + file LICENSE
URL: https://pjt222.github.io/putior/, https://github.com/pjt222/putior
BugReports: https://github.com/pjt222/putior/issues
Depends: R (>= 3.5.0)
Imports: tools
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, clipr, uuid, pkgdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-18 10:49:27 UTC; phtho
Repository: CRAN
Date/Publication: 2025-06-19 14:50:02 UTC

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New package rextendr with initial version 0.4.1
Package: rextendr
Title: Call Rust Code from R using the 'extendr' Crate
Version: 0.4.1
Description: Provides functions to compile and load Rust code from R, similar to how 'Rcpp' or 'cpp11' allow easy interfacing with C++ code. Also provides helper functions to create R packages that use Rust code. Under the hood, the Rust crate 'extendr' is used to do all the heavy lifting.
License: MIT + file LICENSE
URL: https://extendr.github.io/rextendr/, https://github.com/extendr/rextendr
BugReports: https://github.com/extendr/rextendr/issues
Depends: R (>= 4.1)
Imports: brio, callr, cli, desc, dplyr, glue (>= 1.7.0), jsonlite, pkgbuild (>= 1.4.0), processx, rlang (>= 1.0.5), rprojroot, stringi, vctrs, withr
Suggests: devtools, rcmdcheck, knitr, lintr, rmarkdown, testthat (>= 3.1.7), usethis
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Rust 'cargo'; the crate 'libR-sys' must compile without error
NeedsCompilation: no
Packaged: 2025-06-18 19:38:42 UTC; iliak
Author: Claus O. Wilke [aut] , Andy Thomason [aut], Mossa M. Reimert [aut], Ilia Kosenkov [aut, cre] , Malcolm Barrett [aut] , Josiah Parry [ctb] , Kenneth Vernon [ctb] , Alberson Miranda [ctb]
Maintainer: Ilia Kosenkov <ilia.kosenkov@outlook.com>
Repository: CRAN
Date/Publication: 2025-06-19 12:40:02 UTC

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New package dynsim with initial version 1.2.4
Package: dynsim
Title: Dynamic Simulations of Autoregressive Relationships
Version: 1.2.4
Date: 2025-06-09
URL: https://cran.r-project.org/package=dynsim
BugReports: https://github.com/christophergandrud/dynsim/issues
Description: Dynamic simulations and graphical depictions of autoregressive relationships.
License: GPL-3
Depends: R (>= 3.0.0)
Imports: ggplot2 (>= 1.0.1.9003), grid, gridExtra (>= 2.0.0), MASS
Encoding: UTF-8
BuildVignettes: true
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-19 08:10:56 UTC; christophergandrud
Author: Christopher Gandrud [aut, cre], Laron K. Williams [aut], Guy D. Whitten [aut]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-19 12:40:06 UTC

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New package TableContainer with initial version 1.0.0
Package: TableContainer
Title: Create a Table with Row, Column, and Table Annotations
Version: 1.0.0
Description: Offers a TableContainer() function to create tables enriched with row, column, and table annotations. This package is similar to 'SummarizedExperiment' in Bioconductor <doi:10.18129/B9.bioc.SummarizedExperiment>, but designed to work independently of Bioconductor, it ensures annotations are automatically updated when the table is subset. Additionally, it includes format_tbl() methods for enhanced table formatting and display.
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5)
Imports: methods, cli, glue, utils
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-17 22:09:37 UTC; jiefei
Author: Jiefei Wang [aut, cre]
Maintainer: Jiefei Wang <szwjf08@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-19 07:30:02 UTC

More information about TableContainer at CRAN
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