CRANberries

Fri, 28 Mar 2025

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

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

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

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

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Thu, 27 Mar 2025

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

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

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

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

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

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

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

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

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

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Wed, 26 Mar 2025

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

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

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

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

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Tue, 25 Mar 2025

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

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

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

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

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

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

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

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

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

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

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

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

More information about dartR at CRAN
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Mon, 24 Mar 2025

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Sun, 23 Mar 2025

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

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Sat, 22 Mar 2025

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

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

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

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

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

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

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Fri, 21 Mar 2025

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

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

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

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

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

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

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

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Thu, 20 Mar 2025

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

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

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

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

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

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

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Wed, 19 Mar 2025

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

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

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

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

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

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

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

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

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

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

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Tue, 18 Mar 2025

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Mon, 17 Mar 2025

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

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

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

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

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

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

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

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

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

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

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

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Sat, 15 Mar 2025

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

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

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

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

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

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

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

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

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

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Fri, 14 Mar 2025

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

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

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

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

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Thu, 13 Mar 2025

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Wed, 12 Mar 2025

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

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

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

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

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

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

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Tue, 11 Mar 2025

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

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

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

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

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

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

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

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

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Mon, 10 Mar 2025

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

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

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

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New package LGCU with initial version 0.1.2
Package: LGCU
Title: Implementation of Learning Gamma CUSUM (Cumulative Sum) Control Charts
Version: 0.1.2
Description: Description: Implements Cumulative Sum (CUSUM) control charts specifically designed for monitoring processes following a Gamma distribution. Provides functions to estimate distribution parameters, simulate control limits, and apply cautious learning schemes for adaptive thresholding. It supports upward and downward monitoring with guaranteed performance evaluated via Monte Carlo simulations. It is useful for quality control applications in industries where data follows a Gamma distribution. Methods are based on Madrid-Alvarez et al. (2024) <doi:10.1002/qre.3464> and Madrid-Alvarez et al. (2024) <doi:10.1080/08982112.2024.2440368>.
Depends: R (>= 4.0.0)
Imports: MASS, Rcpp, tictoc
LinkingTo: Rcpp
License: GPL-3
Encoding: UTF-8
URL: https://github.com/ingharold-madrid/LGCU
BugReports: https://github.com/ingharold-madrid/LGCU/issues
NeedsCompilation: yes
Packaged: 2025-03-08 03:18:11 UTC; har10
Author: Harold Manuel Madrid-Alvarez [aut, cre]
Maintainer: Harold Manuel Madrid-Alvarez <harold.madrid@unisimon.edu.co>
Repository: CRAN
Date/Publication: 2025-03-10 16:20:07 UTC

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New package equatiomatic with initial version 0.3.6
Package: equatiomatic
Title: Transform Models into 'LaTeX' Equations
Version: 0.3.6
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>
Description: The goal of 'equatiomatic' is to reduce the pain associated with writing 'LaTeX' formulas from fitted models. The primary function of the package, extract_eq(), takes a fitted model object as its input and returns the corresponding 'LaTeX' code for the model.
License: CC BY 4.0
Depends: R (>= 3.3.0)
URL: https://github.com/datalorax/equatiomatic, https://datalorax.github.io/equatiomatic/
BugReports: https://github.com/datalorax/equatiomatic/issues
Imports: broom (>= 0.7.0), broom.mixed, shiny, knitr, stats, utils
Suggests: covr, shinyWidgets, forecast (>= 8.13), ggplot2 (>= 3.3.3), latex2exp (>= 0.4.0), lme4, MASS, ordinal, rmarkdown, testthat (>= 3.0.0), texPreview (>= 2.0.0), gtsummary, spelling
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-09 14:39:32 UTC; phgrosjean
Author: Daniel Anderson [aut] , Andrew Heiss [aut] , Jay Sumners [aut], Joshua Rosenberg [ctb] , Jonathan Sidi [ctb] , Ellis Hughes [ctb] , Thomas Fung [ctb] , Reza Norouzian [ctb] , Indrajeet Patil [ctb] , Quinn White [ctb] , David Kane [ctb], Philippe Gros [...truncated...]
Repository: CRAN
Date/Publication: 2025-03-10 16:50:09 UTC

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New package CNVreg with initial version 1.0
Package: CNVreg
Title: CNV-Profile Regression for Copy Number Variants Association Analysis with Penalized Regression
Version: 1.0
Description: Performs copy number variants association analysis with Lasso and Weighted Fusion penalized regression. Creates a "CNV profile curve" to represent an individual’s CNV events across a genomic region so to capture variations in CNV length and dosage. When evaluating association, the CNV profile curve is directly used as a predictor in the regression model, avoiding the need to predefine CNV loci. CNV profile regression estimates CNV effects at each genome position, making the results comparable across different studies. The penalization encourages sparsity in variable selection with a Lasso penalty and encourages effect smoothness between consecutive CNV events with a weighted fusion penalty, where the weight controls the level of smoothing between adjacent CNVs. For more details, see Si (2024) <doi:10.1101/2024.11.23.624994>.
License: GPL-3
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
Imports: stats, Matrix, doParallel, dplyr, foreach, glmnet, tidyr
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
Suggests: rmarkdown, knitr, rlang, tidyverse, markdown, kableExtra, patchwork, ggplot2, withr
Author: Yaqin Si [aut], Shannon T. Holloway [ctb, cre], Jung-Ying Tzeng [ctb]
Maintainer: Shannon T. Holloway <shannon.t.holloway@gmail.com>
Packaged: 2025-03-09 16:07:45 UTC; sth45
Repository: CRAN
Date/Publication: 2025-03-10 16:50:21 UTC

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New package clayringsmiletus with initial version 1.0.2
Package: clayringsmiletus
Title: Clay Stacking Rings Found in Miletus (Data)
Version: 1.0.2
Maintainer: Lisa Steinmann <lisa.steinmann@rub.de>
Description: Stacking rings are tools used to stack pottery in a Kiln. A relatively large group of stacking rings was found in the area of the sanctuary of Dionysos in Miletus in the 1970s. Measurements and additional info is gathered in this package and made available for use by other researchers. The data along with its archaeological context and analysis has been published in "Archäologischer Anzeiger" (2020/1, <doi:10.34780/aa.v0i1.1014>).
License: CC BY 4.0
URL: https://github.com/lsteinmann/clayringsmiletus
BugReports: https://github.com/lsteinmann/clayringsmiletus/issues
Depends: R (>= 2.10)
Suggests: cluster, dbscan, dplyr, ggplot2, ggridges, gridExtra, kableExtra, knitr, reshape2, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-08 13:39:47 UTC; Lisa Steinmann
Author: Lisa Steinmann [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-03-10 16:30:02 UTC

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New package brandr with initial version 0.1.0
Package: brandr
Title: Brand Identity Management Using brand.yml Standard
Version: 0.1.0
Description: A system to facilitate brand identity management using the brand.yml standard, providing functions to consistently access and apply brand colors, typography, and other visual elements across your R projects.
License: MIT + file LICENSE
URL: https://danielvartan.github.io/brandr/, https://github.com/danielvartan/brandr/
BugReports: https://github.com/danielvartan/brandr/issues/
Depends: R (>= 4.3)
Imports: checkmate (>= 2.3.2), cli (>= 3.6.3), colorspace (>= 2.1.1), dplyr (>= 1.1.4), here (>= 1.0.1), lifecycle (>= 1.0.4), ggplot2 (>= 3.5.1), grDevices (>= 4.3.0), yaml (>= 2.3.10)
Suggests: bslib (>= 0.9.0), covr (>= 3.6.4), hexbin (>= 1.28.5), knitr (>= 1.49), magrittr (>= 2.0.3), palmerpenguins (>= 0.1.1), rmarkdown (>= 2.29), spelling (>= 2.3.1), testthat (>= 3.2.2), tidyr (>= 1.3.1)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-09 04:08:10 UTC; danielvartan
Author: Daniel Vartanian [aut, cre, ccp, cph]
Maintainer: Daniel Vartanian <danvartan@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 16:50:13 UTC

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New package apm with initial version 0.1.0
Package: apm
Title: Averaged Prediction Models
Version: 0.1.0
Description: In panel data settings, specifies set of candidate models, fits them to data from pre-treatment validation periods, and selects model as average over candidate models, weighting each by posterior probability of being most robust given its differential average prediction errors in pre-treatment validation periods. Subsequent estimation and inference of causal effect's bounds accounts for both model and sampling uncertainty, and calculates the robustness changepoint value at which bounds go from excluding to including 0. The package also includes a range of diagnostic plots, such as those illustrating models' differential average prediction errors and the posterior distribution of which model is most robust.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: stats, ggplot2 (>= 3.5.1), ggh4x (>= 0.2.8), ggrepel (>= 0.9.6), MASS, sandwich, pbapply (>= 1.7-2), fwb (>= 0.3.0), chk (>= 0.10.0)
Suggests: parallel, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/tl2624/apm, https://tl2624.github.io/apm/
BugReports: https://github.com/tl2624/apm/issues
NeedsCompilation: no
Packaged: 2025-03-09 03:17:30 UTC; ThomasLeavitt
Author: Thomas Leavitt [aut, cre] , Laura Hatfield [aut] , Noah Greifer [aut]
Maintainer: Thomas Leavitt <thomas.leavitt@baruch.cuny.edu>
Repository: CRAN
Date/Publication: 2025-03-10 16:50:17 UTC

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New package rFIA with initial version 1.1.1
Package: rFIA
Title: Estimation of Forest Variables using the FIA Database
Version: 1.1.1
Author: Jeffrey Doser [aut, cre], Hunter Stanke [aut], Andrew Finley [aut]
Maintainer: Jeffrey Doser <jwdoser@ncsu.edu>
Description: The goal of 'rFIA' is to increase the accessibility and use of the United States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database by providing a user-friendly, open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives, 'rFIA' simplifies the estimation of forest variables from the FIA Database and allows all R users (experts and newcomers alike) to unlock the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA' improves accessibility to the spatial-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient space-time query and data summary, and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold & Patterson [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), dtplyr (>= 1.0.0), tidyr (>= 1.0.0), stringr, sf, parallel, methods, data.table, bit64, tidyselect (>= 1.0.0), rlang, ggplot2
Suggests: knitr, rmarkdown, gganimate, R2jags, coda, testthat
URL: https://github.com/doserjef/rFIA, https://www.doserlab.com/files/rFIA
BugReports: https://github.com/doserjef/rFIA/issues
NeedsCompilation: no
Packaged: 2025-03-07 20:00:17 UTC; jeff
Repository: CRAN
Date/Publication: 2025-03-10 15:20:02 UTC

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New package DRclass with initial version 0.1.0
Package: DRclass
Title: Consider Ambiguity in Probabilistic Descriptions Using Density Ratio Classes
Version: 0.1.0
Description: Consider ambiguity in probabilistic descriptions by replacing a parametric probabilistic description of uncertainty by a non-parametric set of probability distributions in the form of a Density Ratio Class. This is of particular interest in Bayesian inference. The Density Ratio Class is particularly suited for this purpose as it is invariant under Bayesian inference, marginalization, and propagation through a deterministic model. Here, invariant means that the result of the operation applied to a Density Ratio Class is again a Density Ratio Class. In particular the invariance under Bayesian inference thus enables iterative learning within the same framework of Density Ratio Classes. The use of imprecise probabilities in general, and Density Ratio Classes in particular, lead to intervals of characteristics of probability distributions, such as cumulative distribution functions, quantiles, and means. The package is based on a sample of the distribution proportional to the upper bound of [...truncated...]
License: GPL-3
Depends: stats
URL: https://gitlab.com/p.reichert/DRclass
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-07 21:23:06 UTC; peter
Author: Peter Reichert [aut, cre], Ambuj Sriwastava [aut]
Maintainer: Peter Reichert <peter.reichert@emeriti.eawag.ch>
Repository: CRAN
Date/Publication: 2025-03-10 15:20:07 UTC

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New package samesies with initial version 0.1.0
Package: samesies
Title: Compare Similarity Across Text, Factors, or Numbers
Version: 0.1.0
Description: Compare lists of texts, factors, or numerical values to measure their similarity. The motivating use case is evaluating the similarity of large language model responses across models, providers, or prompts. Approximate string matching is implemented using 'stringdist'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, ggbeeswarm, ggplot2, purrr, scales, stats, stringdist
Suggests: testthat (>= 3.0.0), devtools
URL: https://dylanpieper.github.io/samesies/
NeedsCompilation: no
Packaged: 2025-03-07 16:24:03 UTC; dylanpieper
Author: Dylan Pieper [aut, cre]
Maintainer: Dylan Pieper <dylanpieper@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 14:50:02 UTC

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New package lavaan.mi with initial version 0.1-0
Encoding: UTF-8
Package: lavaan.mi
Version: 0.1-0
Title: Fit Structural Equation Models to Multiply Imputed Data
Description: The primary purpose of 'lavaan.mi' is to extend the functionality of the R package 'lavaan', which implements structural equation modeling (SEM). When incomplete data have been multiply imputed, the imputed data sets can be analyzed by 'lavaan' using complete-data estimation methods, but results must be pooled across imputations (Rubin, 1987, <doi:10.1002/9780470316696>). The 'lavaan.mi' package automates the pooling of point and standard-error estimates, as well as a variety of test statistics, using a familiar interface that allows users to fit an SEM to multiple imputations as they would to a single data set using the 'lavaan' package.
Depends: R(>= 4.0), lavaan(>= 0.6-18), methods
Imports: stats, utils
Suggests: Amelia, MASS, mice, parallel, testthat
License: GPL (>= 2)
LazyData: yes
LazyLoad: yes
URL: https://github.com/TDJorgensen/lavaan.mi
BugReports: https://github.com/TDJorgensen/lavaan.mi/issues
Date: 2025-03-07
NeedsCompilation: no
Packaged: 2025-03-07 11:54:30 UTC; terrence
Author: Terrence D. Jorgensen [aut, cre] , Yves Rosseel [ctb]
Maintainer: Terrence D. Jorgensen <TJorgensen314@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 14:30:02 UTC

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New package jamba with initial version 1.0.2
Package: jamba
Title: Just Analysis Methods Base
Version: 1.0.2
Description: Just analysis methods ('jam') base functions focused on bioinformatics. Version- and gene-centric alphanumeric sort, unique name and version assignment, colorized console and 'HTML' output, color ramp and palette manipulation, 'Rmarkdown' cache import, styled 'Excel' worksheet import and export, interpolated raster output from smooth scatter and image plots, list to delimited vector, efficient list tools.
Depends: R (>= 3.0.0)
Imports: methods, grDevices, graphics, stats, utils, colorspace, RColorBrewer, KernSmooth, withr
Suggests: crayon, farver, knitr, rmarkdown, testthat (>= 3.0.0)
Enhances: ggplot2, ggridges, IRanges, S4Vectors, openxlsx, kableExtra, matrixStats, viridisLite, ComplexHeatmap, circlize, GenomicRanges, igraph, pryr, rstudioapi, Matrix, sparseMatrixStats
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://jmw86069.github.io/jamba/
BugReports: https://github.com/jmw86069/jamba/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-07 17:13:53 UTC; wardjm
Author: James M. Ward [aut, cre, cph]
Maintainer: James M. Ward <jmw86069@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 14:50:10 UTC

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New package intsel with initial version 1.0
Package: intsel
Title: Interaction Selection in Logistic Regression
Version: 1.0
Date: 2025-03-06
Description: Logistic regression model with data-driven screening for significant two-way interactions.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.12)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
Copyright: file inst/COPYRIGHTS
NeedsCompilation: yes
Packaged: 2025-03-07 14:17:12 UTC; YLIAN
Author: Yi Lian [aut, cre], Tianze Jiao [aut], Guanbo Wang [aut], Archer Y. Yang [aut], Julien Mairal [ctb], Yuansi Chen [ctb]
Maintainer: Yi Lian <yi.lian@pennmedicine.upenn.edu>
Repository: CRAN
Date/Publication: 2025-03-10 14:50:26 UTC

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New package gmwmx2 with initial version 0.0.1
Package: gmwmx2
Title: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
Version: 0.0.1
Description: Implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024) <doi:10.48550/arXiv.2409.05160>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals in presence of missing data. The 'gmwmx2' package provides functions to load and plot Global Navigation Satellite System (GNSS) data from the Nevada Geodetic Laboratory and functions to estimate linear model model with correlated residuals in presence of missing data.
License: AGPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, data.table, dplyr, magrittr, wv, Matrix, httr2, rlang
Suggests: knitr, rmarkdown, knitcitations, raster, rnaturalearth, shape, tibble, tidygeocoder, sf, geodata
URL: https://github.com/SMAC-Group/gmwmx2
BugReports: https://github.com/SMAC-Group/gmwmx2/issues
LazyData: true
NeedsCompilation: yes
Packaged: 2025-03-10 04:08:34 UTC; lionel
Author: Lionel Voirol [aut, cre] , Haotian Xu [aut] , Yuming Zhang [aut] , Luca Insolia [aut] , Roberto Molinari [aut] , Stephane Guerrier [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 14:40:02 UTC

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New package geneNR with initial version 1.0.1
Package: geneNR
Title: Automated Gene Identification for Post-GWAS Analysis
Version: 1.0.1
Description: Facilitates the post-Genome Wide Association Studies (GWAS) analysis of identifying candidate genes within user-defined search window, based on the identified Single Nucleotide Polymorphisms (SNPs) as given by Mazumder AK (2024) <doi:10.1038/s41598-024-66903-3>. It supports candidate gene analysis for wheat and rice. Just import your GWAS result as explained in the sample_data file and the function does all the manual search and retrieve candidate genes for you, while exporting the results into ready-to-use output.
License: CC BY 4.0
Copyright: (C) 2025 Nirmalaruban
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: TRUE
Imports: readr, stringr, utils, httr, rvest, xml2, writexl
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-07 18:37:22 UTC; nirma
Author: Rajamani Nirmalaruban [aut, cre, cph], R. Suvitha [aut], Rajbir Yadav [aut], Meda Alekya [aut], Amit Kumar Mazumder [aut], Subramani Sugumar [aut], Prashanth babu [aut], Manjeet Kumar [aut], Kiran B Gaikwad [aut], Naresh Kumar Bainsla [aut], S. Bhask [...truncated...]
Maintainer: Rajamani Nirmalaruban <nirmalaruban97@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 14:50:34 UTC

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Fri, 07 Mar 2025

New package SerolyzeR with initial version 1.0.0
Package: SerolyzeR
Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.
BugReports: https://github.com/mini-pw/SerolyzeR/issues
Version: 1.0.0
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, nplr, R6, readr, readxl, stringi, stringr, grid, png, tools, ggrepel, lubridate, R.utils, svglite, fs, scales
Suggests: knitr, qpdf, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mini-pw/SerolyzeR, https://mini-pw.github.io/SerolyzeR/
NeedsCompilation: no
Packaged: 2025-03-06 17:29:30 UTC; tymot
Author: Tymoteusz Kwiecinski [aut, cre] , Jakub Grzywaczewski [aut], Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths] , Nuno Sepulveda [ths]
Maintainer: Tymoteusz Kwiecinski <tymoteuszkwiecinski@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 16:40:02 UTC

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New package prmisc with initial version 0.0.3
Package: prmisc
Title: Miscellaneous Printing of Numeric and Statistical Output in R Markdown and Quarto Documents
Version: 0.0.3
Author: Martin Papenberg [aut, cre] , Juliane V. Nagel [aut]
Description: Miscellaneous printing of numeric or statistical results in R Markdown or Quarto documents according to guidelines of the "Publication Manual" of the American Psychological Association (2020, ISBN: 978-1-4338-3215-4). These guidelines are usually referred to as APA style (<https://apastyle.apa.org/>) and include specific rules on the formatting of numbers and statistical test results. APA style has to be implemented when submitting scientific reports in a wide range of research fields, especially in the social sciences. The default output of numbers in the R console or R Markdown and Quarto documents does not meet the APA style requirements, and reformatting results manually can be cumbersome and error-prone. This package covers the automatic conversion of R objects to textual representations that meet the APA style requirements, which can be included in R Markdown or Quarto documents. It covers some basic statistical tests (t-test, ANOVA, correlation, chi-squared test, Wilcoxon [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/m-Py/prmisc
BugReports: https://github.com/m-Py/prmisc/issues
Depends: R (>= 3.0.0)
Suggests: afex, effectsize, knitr, rmarkdown, spgs
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Packaged: 2025-03-06 09:01:48 UTC; martin
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>
Repository: CRAN
Date/Publication: 2025-03-07 16:20:02 UTC

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New package Certara.DarwinReporter with initial version 2.0.1
Package: Certara.DarwinReporter
Title: Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development
Version: 2.0.1
Description: Utilize the 'shiny' interface for visualizing results from a 'pyDarwin' (<https://certara.github.io/pyDarwin/>) machine learning pharmacometric model search. It generates Goodness-of-Fit plots and summary tables for selected models, allowing users to customize diagnostic outputs within the interface. The underlying R code for generating plots and tables can be extracted for use outside the interactive session. Model diagnostics can also be incorporated into an R Markdown document and rendered in various output formats.
URL: https://certara.github.io/R-DarwinReporter/
Depends: R (>= 4.1.0)
License: LGPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, data.table, readr, testthat (>= 3.0.0)
Imports: DT, colourpicker, shinyAce, shinymeta, utils, ggplot2, xpose, Certara.Xpose.NLME, dplyr, jsonlite, tidyr, flextable, shinyjqui, grDevices, plotly, scales, shiny (>= 1.7.0), shinyjs, shinyWidgets, bslib (>= 0.7.0), shinyTree (>= 0.3.1), sortable
NeedsCompilation: no
Packaged: 2025-03-06 16:41:17 UTC; jcraig
Author: James Craig [aut, cre], Michael Tomashevskiy [aut], Mike Talley [aut], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2025-03-07 16:40:13 UTC

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New package xlr with initial version 1.0.3
Package: xlr
Title: Create Table Summaries and Export Neat Tables to 'Excel'
Version: 1.0.3
Description: A high-level interface for creating and exporting summary tables to 'Excel'. Built on 'dplyr' and 'openxlsx', it provides tools for generating one-way to n-way tables, and summarizing multiple response questions and question blocks. Tables are exported with native 'Excel' formatting, including titles, footnotes, and basic styling options.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), data.table, lubridate
Imports: rlang, vctrs (>= 0.6.0), haven, openxlsx, methods, cli, dplyr, tibble, pillar, tidyr, tidyselect
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
URL: https://nhilder.github.io/xlr/, https://github.com/NHilder/xlr
BugReports: https://github.com/NHilder/xlr/issues
NeedsCompilation: no
Packaged: 2025-03-05 21:40:22 UTC; nicholashilderson
Author: Nicholas Hilderson [aut, cre, cph]
Maintainer: Nicholas Hilderson <nhilderson.code@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:40:02 UTC

More information about xlr at CRAN
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New package visae with initial version 0.2.1
Package: visae
Title: Visualization of Adverse Events
Version: 0.2.1
Description: Implementation of 'shiny' app to visualize adverse events based on the Common Terminology Criteria for Adverse Events (CTCAE) using stacked correspondence analysis as described in Diniz et. al (2021)<doi:10.1186/s12874-021-01368-w>.
BugReports: https://github.com/dnzmarcio/visae/issues
License: GPL (>= 2)
Depends: shiny (>= 1.4.0), dplyr (>= 1.0.0), ggplot2 (>= 3.3.0), R (>= 4.1.0)
Imports: shinyjs (>= 1.1), ca (>= 0.71), tidyr (>= 1.1.0), ggrepel (>= 0.8.2), rlang (>= 0.4.6), DT (>= 0.13)
Encoding: UTF-8
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-05 06:10:29 UTC; dinizm01
Author: Marcio A. Diniz [aut, cre, cph] , Michael Luu [aut]
Maintainer: Marcio A. Diniz <marcio.diniz@mountsinai.org>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:02 UTC

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New package vecmatch with initial version 1.0.2
Package: vecmatch
Title: Generalized Propensity Score Estimation and Matching for Multiple Groups
Version: 1.0.2
Description: Implements the Vector Matching algorithm to match multiple treatment groups based on previously estimated generalized propensity scores. The package includes tools for visualizing initial confounder imbalances, estimating treatment assignment probabilities using various methods, defining the common support region, performing matching across multiple groups, and evaluating matching quality. For more details, see Lopez and Gutman (2017) <doi:10.1214/17-STS612>.
License: GPL (>= 3)
URL: https://github.com/Polymerase3/vecmatch
BugReports: https://github.com/Polymerase3/vecmatch/issues
Depends: R (>= 3.5)
Imports: brglm2, chk, cli, ggplot2, ggpp, ggpubr, grDevices, MASS, Matching, mclogit, nnet, optmatch, productplots, rlang, rstatix, stats, utils, VGAM, withr
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-05 10:02:29 UTC; polymerase
Author: Mateusz Kolek [aut, cre, cph]
Maintainer: Mateusz Kolek <mati.kolek13@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:20:03 UTC

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New package transformerForecasting with initial version 0.1.0
Package: transformerForecasting
Title: Transformer Deep Learning Model for Time Series Forecasting
Version: 0.1.0
Maintainer: G H Harish Nayak <harishnayak626@gmail.com>
Description: Time series forecasting faces challenges due to the non-stationarity, nonlinearity, and chaotic nature of the data. Traditional deep learning models like Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) process data sequentially but are inefficient for long sequences. To overcome the limitations of these models, we proposed a transformer-based deep learning architecture utilizing an attention mechanism for parallel processing, enhancing prediction accuracy and efficiency. This paper presents user-friendly code for the implementation of the proposed transformer-based deep learning architecture utilizing an attention mechanism for parallel processing. References: Nayak et al. (2024) <doi:10.1007/s40808-023-01944-7> and Nayak et al. (2024) <doi:10.1016/j.simpa.2024.100716>.
Imports: ggplot2, keras, tensorflow, magrittr, reticulate (>= 1.20)
Suggests: dplyr, knitr, lubridate, readr, rmarkdown, utils
License: GPL-3
Encoding: UTF-8
Author: G H Harish Nayak [aut, cre], Md Wasi Alam [ths], B Samuel Naik [ctb], G Avinash [ctb], Kabilan S [ctb], Varshini B S [ctb], Mrinmoy Ray [ths], Rajeev Ranjan Kumar [ths]
Depends: R (>= 4.0.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-05 04:28:04 UTC; kabil
Repository: CRAN
Date/Publication: 2025-03-07 11:10:06 UTC

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New package tidyklips with initial version 0.3.0
Package: tidyklips
Title: Load Korea Labor & Income Panel Study (KLIPS) Data as Data Frames
Version: 0.3.0
Description: Loading the Korea Labor Institute's KLIPS (Korea Labor & Income Panel Study) panel data and returning data frames. Users must download 26 years of panel data from the Korea Labor Institute website and save it in a folder in an appropriate path. Afterwards, users can easily convert the data into a data frame using this package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, stringr, readxl, haven, dplyr
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-05 13:33:32 UTC; choi
Author: Cheon Geun Choi [aut, cre]
Maintainer: Cheon Geun Choi <cheongeun.choi@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:20:07 UTC

More information about tidyklips at CRAN
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New package shinyTimer with initial version 0.1.0
Package: shinyTimer
Title: Customizable Timer for 'shiny' Applications
Version: 0.1.0
Description: Provides a customizable timer widget for 'shiny' applications. Key features include countdown and count-up mode, multiple display formats (including simple seconds, minutes-seconds, hours-minutes-seconds, and minutes-seconds-centiseconds), ability to pause, resume, and reset the timer. 'shinytimer' widget can be particularly useful for creating interactive and time-sensitive applications, tracking session times, setting time limits for tasks or quizzes, and more.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, htmltools
Suggests: R6, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-05 08:42:28 UTC; banasm
Author: Maciej Banas [aut, cre]
Maintainer: Maciej Banas <banasmaciek@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:09 UTC

More information about shinyTimer at CRAN
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New package scPipeline with initial version 0.2.0.0
Package: scPipeline
Title: A Wrapper for 'Seurat' and Related R Packages for End-to-End Single Cell Analysis
Version: 0.2.0.0
Author: Viswanadham Sridhara [aut, cre]
Maintainer: Viswanadham Sridhara <Sridhara.Omics@gmail.com>
Description: Reports markers list, differentially expressed genes, associated pathways, cell-type annotations, does batch correction and other related single cell analyses all wrapped within 'Seurat'.
Imports: Seurat, batchelor, dplyr, ReactomeGSA, celldex, SingleR, SummarizedExperiment, biomaRt, magrittr, rlang
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-03-05 20:54:01 UTC; vishs
Repository: CRAN
Date/Publication: 2025-03-07 11:40:06 UTC

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New package pQTLdata with initial version 0.5
Package: pQTLdata
Title: A Collection of Proteome Panels and Meta-Data
Version: 0.5
Date: 2025-3-5
Description: It aggregates protein panel data and metadata for protein quantitative trait locus (pQTL) analysis using 'pQTLtools' (<https://jinghuazhao.github.io/pQTLtools/>). The package includes data from affinity-based panels such as 'Olink' (<https://olink.com/>) and 'SomaScan' (<https://somalogic.com/>), as well as mass spectrometry-based panels from 'CellCarta' (<https://cellcarta.com/>) and 'Seer' (<https://seer.bio/>). The metadata encompasses updated annotations and publication details.
License: MIT + file LICENSE
URL: https://jinghuazhao.github.io/pQTLdata/, https://jinghuazhao.github.io/pQTLdata/
Depends: R (>= 3.5.0)
Imports: knitr, Rdpack
Suggests: dplyr, grid, EnsDb.Hsapiens.v75, ensembldb, IRanges, org.Hs.eg.db, S4Vectors, VennDiagram
VignetteBuilder: knitr
LazyData: Yes
LazyLoad: Yes
LazyDataCompression: xz
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2025-03-05 16:14:38 UTC; jhz22
Author: Jing Hua Zhao [aut, cre] , Uwe Ligges [ctb], Benjamin Altmann [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:30:02 UTC

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New package ParamANOVA with initial version 0.1.2
Package: ParamANOVA
Title: Fully Parameterizable ANOVA Tests
Version: 0.1.2
Description: Allows the user to perform ANOVA tests (in a strict sense: continuous and normally-distributed Y variable and 1 or more factorial/categorical X variable(s)), with the possibility to specify the type of sum of squares (1, 2 or 3), the types of variables (Fixed or Random) and their relationships (crossed or nested) with the sole function of the package (FullyParamANOVA()). The resulting outputs are the same as in 'SAS' software. A dataset (Butterfly) to test the function is also joined.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.2), magrittr (>= 2.0.3), mlr3misc (>= 0.16.0), rlang (>= 1.1.1), rstatix (>= 0.7.2), stats (>= 4.2.1), tibble (>= 3.2.1)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-05 15:12:48 UTC; vbrans
Author: Victor Brans [aut, cre]
Maintainer: Victor Brans <vicbrans003@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:30:15 UTC

More information about ParamANOVA at CRAN
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New package hellmer with initial version 0.1.0
Package: hellmer
Title: Batch Processing for Chat Models
Version: 0.1.0
Description: Batch processing framework for 'ellmer' chat model interactions. Enables sequential and parallel processing of chat completions. Core capabilities include error handling with backoff, state persistence, progress tracking, and retry management. Parallel processing is implemented via the 'future' framework. Additional features include structured data extraction, tool integration, timeout handling, verbosity control, and sound notifications. Includes methods for returning chat texts, chat objects, progress status, and structured data.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: beepr, cli, future, furrr, parallel, purrr, R.utils, S7, utils
Depends: ellmer
URL: https://dylanpieper.github.io/hellmer/
NeedsCompilation: no
Packaged: 2025-03-05 21:54:51 UTC; dylanpieper
Author: Dylan Pieper [aut, cre]
Maintainer: Dylan Pieper <dylanpieper@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:40:10 UTC

More information about hellmer at CRAN
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New package facilityepimath with initial version 0.1.0
Package: facilityepimath
Title: Analyze Mathematical Models of Healthcare Facility Transmission
Version: 0.1.0
Description: Calculate useful quantities for a user-defined differential equation model of infectious disease transmission among individuals in a healthcare facility. Input rates of transition between states of individuals with and without the disease-causing organism, distributions of states at facility admission, relative infectivity of transmissible states, and the facility length of stay distribution. Calculate the model equilibrium and the basic facility reproduction number, as described in Toth et al. (2025) <doi:10.1101/2025.02.21.25322698>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/EpiForeSITE/facilityepimath
BugReports: https://github.com/EpiForeSITE/facilityepimath/issues
Imports: MASS
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-05 03:52:47 UTC; runner
Author: Damon Toth [aut, cre, cph] , Centers for Disease Control and Prevention [fnd]
Maintainer: Damon Toth <damon.toth@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:13 UTC

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New package BacenAPI with initial version 0.1.0
Package: BacenAPI
Version: 0.1.0
Title: Data Collection from the Central Bank of Brazil
Description: Provides tools to facilitate the access and processing of data from the Central Bank of Brazil API. The package allows users to retrieve economic and financial data, transforming them into usable tabular formats for further analysis. The data is obtained from the Central Bank of Brazil API: <https://api.bcb.gov.br/dados/serie/bcdata.sgs.{series_code}/dados?formato=json&dataInicial={start_date}&dataFinal={end_date}>.
License: MIT + file LICENSE
URL: https://github.com/LissandroSousa/BacenAPI
BugReports: https://github.com/LissandroSousa/BacenAPI/issues
Imports: httr, httr2, jsonlite, magrittr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-04 23:29:48 UTC; lisan
Author: Paulo Icaro [aut], Lissandro Sousa [cre, aut]
Maintainer: Lissandro Sousa <lisandrosousa54@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:17 UTC

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Thu, 06 Mar 2025

New package uisapi with initial version 0.1.0
Package: uisapi
Title: Access the UNESCO Institute for Statistics API
Version: 0.1.0
Description: Retrieve data from the UNESCO Institute for Statistics (UIS) API <https://api.uis.unesco.org/api/public/documentation/>. UIS provides public access to more than 4,000 indicators focusing on education, science and technology, culture, and communication.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: cli (>= 3.0.0), httr2 (>= 1.0.0), jsonlite (>= 1.0.0), tibble, dplyr (>= 1.0.0), tidyr (>= 1.0.0), rlang (>= 1.0.0)
Suggests: curl, testthat (>= 3.0.0)
URL: https://github.com/tidy-intelligence/r-uisapi, https://tidy-intelligence.github.io/r-uisapi/
BugReports: https://github.com/tidy-intelligence/r-uisapi/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-04 18:47:42 UTC; krise
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2025-03-06 16:50:01 UTC

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New package ROKET with initial version 1.0.0
Package: ROKET
Title: Optimal Transport-Based Kernel Regression
Version: 1.0.0
Date: 2025-03-04
Description: Perform optimal transport on somatic point mutations and kernel regression hypothesis testing by integrating pathway level similarities at the gene level (Little et al. (2023) <doi:10.1111/biom.13769>). The software implements balanced and unbalanced optimal transport and omnibus tests with 'C++' across a set of tumor samples and allows for multi-threading to decrease computational runtime.
Encoding: UTF-8
Imports: Rcpp, smarter, ggplot2, survival, MiRKAT
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
Suggests: rmarkdown, knitr, reshape2, ggdendro
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-04 22:23:50 UTC; Admin
Author: Paul Little [aut, cre]
Maintainer: Paul Little <pllittle321@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-06 17:00:02 UTC

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New package CSeQTL with initial version 1.0.0
Package: CSeQTL
Title: Cell Type-Specific Expression Quantitative Trail Loci Mapping
Version: 1.0.0
Date: 2025-03-04
Description: Perform bulk and cell type-specific expression quantitative trail loci mapping with our novel method (Little et al. (2023) <doi:10.1038/s41467-023-38795-w>).
Encoding: UTF-8
Imports: Rcpp, smarter, ggplot2, multcomp, emdbook, MatrixEQTL, data.table, HelpersMG, R.utils, GenomicFeatures, methods
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-04 22:11:04 UTC; Admin
Author: Paul Little [aut, cre]
Maintainer: Paul Little <pllittle321@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-03-06 17:00:06 UTC

More information about CSeQTL at CRAN
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New package actfts with initial version 0.3.0
Package: actfts
Title: Autocorrelation Tools Featured for Time Series
Version: 0.3.0
Maintainer: Sergio Sierra <sergiochess95@gmail.com>
Description: The 'actfts' package provides tools for performing autocorrelation analysis of time series data. It includes functions to compute and visualize the autocorrelation function (ACF) and the partial autocorrelation function (PACF). Additionally, it performs the Dickey-Fuller, KPSS, and Phillips-Perron unit root tests to assess the stationarity of time series. Theoretical foundations are based on Box and Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Box and Jenkins (1976) <isbn:978-0-8162-1234-2>, and Box and Pierce (1970) <doi:10.1080/01621459.1970.10481180>. Statistical methods are also drawn from Kolmogorov (1933) <doi:10.1007/BF00993594>, Kwiatkowski et al. (1992) <doi:10.1016/0304-4076(92)90104-Y>, and Ljung and Box (1978) <doi:10.1093/biomet/65.2.297>. The package integrates functions from 'forecast' (Hyndman & Khandakar, 2008) <https://CRAN.R-project.org/package=forecast>, 'tseries' (Trapletti & Hornik, 2020) <https://CRAN.R [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: openxlsx, plotly, reactable, tseries, xts, stats, forecast, lifecycle
Depends: R (>= 2.10)
URL: https://github.com/SergioFinances/actfts, https://sergiofinances.github.io/actfts/
BugReports: https://github.com/SergioFinances/actfts/issues
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-04 18:19:35 UTC; sergiosierra
Author: David Rodriguez [aut, cph] , Sergio Sierra [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-06 16:40:07 UTC

More information about actfts at CRAN
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New package misha with initial version 4.3.6
Package: misha
Title: Toolkit for Analysis of Genomic Data
Version: 4.3.6
Description: A toolkit for analysis of genomic data. The 'misha' package implements an efficient data structure for storing genomic data, and provides a set of functions for data extraction, manipulation and analysis. Some of the 2D genome algorithms were described in Yaffe and Tanay (2011) <doi:10.1038/ng.947>.
License: MIT + file LICENSE
URL: https://tanaylab.github.io/misha/, https://github.com/tanaylab/misha
BugReports: https://github.com/tanaylab/misha/issues
Depends: R (>= 3.0.0)
Imports: magrittr, curl, utils
Suggests: dplyr, glue, knitr, readr, rmarkdown, spelling, stats, stringr, testthat (>= 3.0.0), tibble, withr
Encoding: UTF-8
Language: en-US
LazyLoad: yes
NeedsCompilation: yes
SystemRequirements: C++14
OS_type: unix
VignetteBuilder: knitr
Packaged: 2025-02-28 12:13:50 UTC; aviezerl
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Eitan Yaffe [aut], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>
Repository: CRAN
Date/Publication: 2025-03-06 14:10:02 UTC

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Wed, 05 Mar 2025

New package ebvcube with initial version 0.4.0
Package: ebvcube
Title: Working with netCDF for Essential Biodiversity Variables
Version: 0.4.0
Date: 2025-03-05
Author: Luise Quoss [aut, cre] , Nestor Fernandez [aut] , Christian Langer [aut] , Jose Valdez [aut] , Henrique Miguel Pereira [aut]
Maintainer: Luise Quoss <luise.quoss@idiv.de>
Description: The concept of Essential Biodiversity Variables (EBV, <https://geobon.org/ebvs/what-are-ebvs/>) comes with a data structure based on the Network Common Data Form (netCDF). The 'ebvcube' 'R' package provides functionality to easily create, access and visualise this data. The EBV netCDFs can be downloaded from the EBV Data Portal: Christian Langer/ iDiv (2020) <https://portal.geobon.org/>.
URL: https://github.com/EBVCube/ebvcube
BugReports: https://github.com/EBVcube/ebvcube/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: checkmate, curl, DelayedArray, ggplot2, HDF5Array, httr, jsonlite, memuse, methods, ncdf4, ncmeta, reshape2, rhdf5, stringr, terra, tidyterra, withr
Suggests: knitr, lintr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements: GDAL binaries
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2025-03-05 13:17:38 UTC; lq39quba
Repository: CRAN
Date/Publication: 2025-03-06 00:00:09 UTC

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New package MetabolSSMF with initial version 0.1.0
Package: MetabolSSMF
Title: Simplex-Structured Matrix Factorisation for Metabolomics Analysis
Version: 0.1.0
Maintainer: Wenxuan Liu <wenxuan.liu@ucdconnect.ie>
Description: Provides a framework to perform soft clustering using simplex-structured matrix factorisation (SSMF). The package contains a set of functions for determining the optimal number of prototypes, the optimal algorithmic parameters, the estimation confidence intervals and the diversity of clusters. Abdolali, Maryam & Gillis, Nicolas (2020) <doi:10.1137/20M1354982>.
Encoding: UTF-8
LazyData: true
Imports: LaplacesDemon, NMF, doParallel, foreach, iterators, lsei, mclust, tidyr
Suggests: knitr, rmarkdown, caroline, ggsci, BiocManager, Biobase
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-03-04 12:33:25 UTC; vincentlau
Author: Wenxuan Liu [aut, cre], Thomas Brendan Murphy [aut], Lorraine Brennan [aut]
Repository: CRAN
Date/Publication: 2025-03-05 16:10:02 UTC

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New package RplotterPkg with initial version 0.1.3
Package: RplotterPkg
Title: R Plotting Functions Using 'ggplot2'
Version: 0.1.3
Description: Makes it easy to produce everyday 'ggplot2' charts in a functional way without an extensive "tree" implementation. The package includes over 15 functions for the production and arrangement of basic graphing.
License: MIT + file LICENSE
URL: https://github.com/deandevl/RplotterPkg
BugReports: https://github.com/deandevl/RplotterPkg/issues
Depends: R (>= 4.4.0)
Imports: ggplot2 (>= 3.5.1), data.table (>= 1.16.4), rlang (>= 1.1.4), gt (>= 0.11.1), gtable (>= 0.3.6), glue (>= 1.8.0), purrr (>= 1.0.2), ggplotify (>= 0.1.2), aplpack (>= 1.3.5), methods
Suggests: knitr (>= 1.49), RColorBrewer (>= 1.1-3), rmarkdown (>= 2.29), testthat (>= 3.0.0), vdiffr (>= 1.0.8), here (>= 1.0.1), socviz (>= 1.2), tsbox (>= 0.4.1), gapminder (>= 0.3.0), palmerpenguins (>= 0.1.1), spData (>= 2.3.3), sf (>= 1.0-19), raster (>= 3.6-30), elevatr (>= 0.99.0), maps (>= 3.4.1)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-04 12:27:49 UTC; deanr
Author: Rick Dean [aut, cre, cph]
Maintainer: Rick Dean <deanr3@bardstown.com>
Repository: CRAN
Date/Publication: 2025-03-05 16:00:02 UTC

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New package revise with initial version 0.1.0
Package: revise
Title: Dynamic Revision Letters for 'Rmarkdown' Manuscripts
Version: 0.1.0
Description: Extracts tagged text from markdown manuscripts for inclusion in dynamically generated revision letters. Provides an R markdown template based on papaja::revision_letter_pdf() with comment cross-referencing, a system for managing multiple sections of extracted text, and a way to automatically determine the page number of quoted sections from PDF manuscripts.
License: MIT + file LICENCE
URL: https://github.com/conig/revise
BugReports: https://github.com/conig/revise/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: bookdown, dplyr, glue, knitr, papaja, rmarkdown, rstudioapi, stringr, pdftools, officer, xml2, worcs, cli
Suggests: googledrive, docxtractr, testthat (>= 3.0.0)
SystemRequirements: pandoc (>= 1.14) - http://pandoc.org
NeedsCompilation: no
Packaged: 2025-03-04 00:40:21 UTC; conig
Author: James Conigrave [aut, cre] , Philip Parker [aut] , Taren Sanders [aut] , Michael Noetel [aut] , Caspar J. Van Lissa [aut]
Maintainer: James Conigrave <james.conigrave@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-05 15:50:02 UTC

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New package I14Y with initial version 0.1.0
Package: I14Y
Title: Search and Get Data from the I14Y Interoperability Platform of Switzerland
Version: 0.1.0
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: Search and download Swiss data and metadata from the I14Y interoperability platform of Switzerland using its public APIs <https://www.i14y.admin.ch/api/index.html>.
License: GPL (>= 3)
Imports: httr2, tibble, readr, cli, curl, rlang
Suggests: jsonlite, dplyr, stringr, BFS, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-04 10:56:50 UTC; felix
Author: Felix Luginbuhl [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-03-05 16:00:06 UTC

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New package hatchR with initial version 0.3.2
Package: hatchR
Title: Predict Fish Hatch and Emergence Timing
Version: 0.3.2
Maintainer: Bryan M. Maitland <bryan.maitland@usda.gov>
Description: Predict hatch and emergence timing for a wide range of wild fishes using the effective value framework (Sparks et al., (2019) <DOI:10.1139/cjfas-2017-0468>). 'hatchR' offers users access to established phenological models and the flexibility to incorporate custom parameterizations using external datasets.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://bmait101.github.io/hatchR/, https://github.com/bmait101/hatchR
BugReports: https://github.com/bmait101/hatchR/issues
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.4), ggplot2 (>= 3.5.1), ggtext (>= 0.1.2), lifecycle (>= 1.0.4), lubridate (>= 1.9.4), rlang (>= 1.1.4), stats, tibble (>= 3.2.1), utils
Suggests: knitr (>= 1.49), readr (>= 2.1.5), purrr (>= 1.0.2), rmarkdown (>= 2.29), nycflights13 (>= 1.0.2), tidyr (>= 1.3.1), stringr (>= 1.5.1), ggridges (>= 0.5.6), patchwork (>= 1.3.0), testthat (>= 3.0.0), cli (>= 3.6.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-03 23:57:51 UTC; BryanMaitland
Author: Bryan M. Maitland [aut, cre] , Morgan M. Sparks [aut, cph] , Eli Felts [ctb]
Repository: CRAN
Date/Publication: 2025-03-05 15:40:02 UTC

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New package ebm with initial version 0.1.0
Package: ebm
Title: Explainable Boosting Machines
Version: 0.1.0
Description: An interface to the 'Python' 'InterpretML' framework for fitting explainable boosting machines (EBMs); see Nori et al. (2019) <doi:10.48550/arXiv.1909.09223> for details. EBMs are a modern type of generalized additive model that use tree-based, cyclic gradient boosting with automatic interaction detection. They are often as accurate as state-of-the-art blackbox models while remaining completely interpretable.
Depends: R (>= 3.5.0)
Imports: reticulate, ggplot2 (>= 0.9.0), lattice
Suggests: htmltools, ISLR2, knitr, rmarkdown, rstudioapi
URL: https://github.com/bgreenwell/ebm, https://bgreenwell.github.io/ebm/
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-04 01:32:39 UTC; bgreenwell
Author: Brandon M. Greenwell [aut, cre]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-05 15:50:08 UTC

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New package ApplyPolygenicScore with initial version 3.0.1
Package: ApplyPolygenicScore
Title: Utilities for the Application of a Polygenic Score to a VCF
Version: 3.0.1
Description: Simple and transparent parsing of genotype/dosage data from an input Variant Call Format (VCF) file, matching of genotype coordinates to the component Single Nucleotide Polymorphisms (SNPs) of an existing polygenic score (PGS), and application of SNP weights to dosages for the calculation of a polygenic score for each individual in accordance with the additive weighted sum of dosages model. Methods are designed in reference to best practices described by Collister, Liu, and Clifton (2022) <doi:10.3389/fgene.2022.818574>.
Depends: R (>= 4.2.0)
Imports: vcfR, pROC, data.table, reshape2, BoutrosLab.plotting.general, lattice
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
License: GPL-2
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-04 01:32:04 UTC; nzeltser
Author: Paul Boutros [cre], Nicole Zeltser [aut] , Rachel Dang [ctb]
Maintainer: Paul Boutros <PBoutros@mednet.ucla.edu>
Repository: CRAN
Date/Publication: 2025-03-05 15:50:15 UTC

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New package RHC with initial version 0.1.0
Package: RHC
Title: Rangeland Health and Condition
Version: 0.1.0
Maintainer: Zahra Heidari Ghahfarrokhi <z.heidari.gh@gmail.com>
Description: The evaluation criteria of rangeland health, condition and landscape function analysis based on species diversity and functional diversity of rangeland plant communities.
License: GPL (>= 2)
Depends: R (>= 3.5.0), permute, lattice, ade4, geometry
Imports: vegan, FD, randomForest, stats, ggplot2, gridExtra
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-03 19:23:32 UTC; sana
Author: Zahra Heidari Ghahfarrokhi [aut, cre] , Pejman Tahmasebi [aut], Ali Asghar Naghipour [aut]
Repository: CRAN
Date/Publication: 2025-03-05 13:30:10 UTC

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New package nemsqar with initial version 1.0.0
Package: nemsqar
Title: National Emergency Medical Service Quality Alliance Measure Calculations
Version: 1.0.0
Description: Designed to automate the calculation of Emergency Medical Service (EMS) quality metrics, 'nemsqar' implements measures defined by the National EMS Quality Alliance (NEMSQA). By providing reliable, evidence-based quality assessments, the package supports EMS agencies, healthcare providers, and researchers in evaluating and improving patient outcomes. Users can find details on all approved NEMSQA measures at <https://www.nemsqa.org/measures>. Full technical specifications, including documentation and pseudocode used to develop 'nemsqar', are available on the NEMSQA website after creating a user profile at <https://www.nemsqa.org>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), tidyr
URL: https://github.com/bemts-hhs/nemsqar, https://bemts-hhs.github.io/nemsqar/
BugReports: https://github.com/bemts-hhs/nemsqar/issues
Depends: R (>= 4.1)
Imports: cli (>= 3.6.4), dplyr (>= 1.1.4), lubridate (>= 1.9.4), rlang (>= 1.1.5), tibble (>= 3.2.1), tidyselect (>= 1.2.1)
LazyData: true
LazyDataCompression: bzip2
NeedsCompilation: no
Packaged: 2025-03-03 16:28:01 UTC; nfoss0
Author: Nicolas Foss [aut, cre], Samuel Kordik [aut] , Alyssa Green [ctb], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>
Repository: CRAN
Date/Publication: 2025-03-05 13:20:06 UTC

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New package ecotrends with initial version 1.0
Package: ecotrends
Title: Temporal Trends in Ecological Niche Models
Version: 1.0
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>
Description: Computes temporal trends in environmental suitability obtained from ecological niche models, based on a set of species presence point coordinates and predictor variables.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/AMBarbosa/ecotrends
BugReports: https://github.com/AMBarbosa/ecotrends/issues
Depends: R (>= 3.6)
Suggests:
Imports: collinear (>= 2.0.0), fuzzySim (>= 4.26), maxnet, modEvA (>= 3.21), terra (>= 1.4-19), trend
NeedsCompilation: no
Packaged: 2025-03-03 17:11:43 UTC; marcia
Author: A. Marcia Barbosa [aut, cre], Joao Alirio [aut], Nuno Garcia [aut], Joao Campos [aut], Ana Claudia Teodoro [aut], Lia Barbara Duarte [aut], Isabel Pocas [aut], Salvador Arenas-Castro [aut], Neftali Sillero [aut]
Repository: CRAN
Date/Publication: 2025-03-05 13:20:19 UTC

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New package connected with initial version 1.1
Package: connected
Title: Visualize and Improve Connectedness of Factors in Tables
Version: 1.1
Description: Visualize the connectedness of factors in two-way tables. Perform two-way filtering to improve the degree of connectedness. See Weeks & Williams (1964) <doi:10.1080/00401706.1964.10490188>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: grDevices, lattice, lfe, reshape2, stats
Suggests: agridat, dplyr, janitor, knitr, lme4, lucid, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
URL: https://kwstat.github.io/connected/
BugReports: https://github.com/kwstat/connected/issues
NeedsCompilation: no
Packaged: 2025-03-03 19:01:50 UTC; wrightkevi
Author: Kevin Wright [aut, cre]
Maintainer: Kevin Wright <kw.stat@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-05 13:30:02 UTC

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New package BiVariAn with initial version 1.0.1
Package: BiVariAn
Title: Bivariate Automatic Analysis
Version: 1.0.1
Date: 2025-03-03
Maintainer: Jose Andres Flores-Garcia <andres.flores@uaslp.mx>
Description: Simplify bivariate and regression analyses by automating result generation, including summary tables, statistical tests, and customizable graphs. It supports tests for continuous and dichotomous data, as well as stepwise regression for linear, logistic, and Firth penalized logistic models. While not a substitute for tailored analysis, 'BiVariAn' accelerates workflows and is expanding features like multilingual interpretations of results.The methods for selecting significant statistical tests, as well as the predictor selection in prediction functions, can be referenced in the works of Marc Kery (2003) <doi:10.1890/0012-9623(2003)84[92:NORDIG]2.0.CO;2> and Rainer Puhr (2017) <doi:10.1002/sim.7273>.
License: GPL (>= 3)
URL: https://github.com/AndresFloresG/BiVariAn
BugReports: https://github.com/AndresFloresG/BiVariAn/issues
Imports: car, DescTools, dplyr, epitools, fastDummies, ggplot2, ggprism, glue, lifecycle, logistf, magrittr, rlang, rrtable, scales, stats, table1, tidyr, utils
Suggests: knitr, riskCommunicator, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-03 15:07:36 UTC; andre
Author: Jose Andres Flores-Garcia [cre, aut, cph] , Antonio Augusto Gordillo-Moscoso [aut] , Jhoselin Marian Castro-Rodriguez [aut]
Repository: CRAN
Date/Publication: 2025-03-05 13:10:02 UTC

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New package pintervals with initial version 0.7.5
Package: pintervals
Title: Model Agnostic Prediction Intervals
Version: 0.7.5
Description: Provides tools for estimating model-agnostic prediction intervals using conformal prediction, bootstrapping, and parametric prediction intervals. The package is designed for ease of use, offering intuitive functions for both binned and full conformal prediction methods, as well as parametric interval estimation with diagnostic checks. Currently only working for continuous predictions. For details on the conformal and bin-conditional conformal prediction methods, see Randahl, Williams, and Hegre (2024) <DOI:10.48550/arXiv.2410.14507>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, foreach, tibble
NeedsCompilation: no
Packaged: 2025-03-03 15:10:43 UTC; david
Author: David Randahl [aut, cre], Jonathan P. Wiliams [ctb]
Maintainer: David Randahl <david.randahl@pcr.uu.se>
Repository: CRAN
Date/Publication: 2025-03-05 13:00:02 UTC

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New package PhenoSpectra with initial version 0.1.0
Package: PhenoSpectra
Title: Multispectral Data Analysis and Visualization
Version: 0.1.0
Description: Provides tools for processing, analyzing, and visualizing spectral data collected from 3D laser-based scanning systems. Supports applications in agriculture, forestry, environmental monitoring, industrial quality control, and biomedical research. Enables evaluation of plant growth, productivity, resource efficiency, disease management, and pest monitoring. Includes statistical methods for extracting insights from multispectral and hyperspectral data and generating publication-ready visualizations. See Zieschank & Junker (2023) <doi:10.3389/fpls.2023.1141554> and Saric et al. (2022) <doi:10.1016/J.TPLANTS.2021.12.003> for related work.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, writexl, dplyr, tidyr, data.table, lubridate, openxlsx, broom, magrittr, rlang, utils, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-03 08:17:30 UTC; gmpnw
Author: Medhat Mahmoud [aut, cre], Arianna Del Papa [ctb], Melina Rampelmann [ctb], Patrick Dohle [ctb]
Maintainer: Medhat Mahmoud <medhat.mahmoud@bayer.com>
Repository: CRAN
Date/Publication: 2025-03-05 13:00:09 UTC

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New package mixtree with initial version 0.0.1
Package: mixtree
Title: A Statistical Framework for Comparing Sets of Trees
Version: 0.0.1
Description: Statistical framework for comparing sets of trees using hypothesis testing methods. Designed for transmission trees, phylogenetic trees, and directed acyclic graphs (DAGs), the package implements chi-squared tests to compare edge frequencies between sets and PERMANOVA to analyse topological dissimilarities with customisable distance metrics, following Anderson (2001) <doi:10.1111/j.1442-9993.2001.01070.pp.x>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: igraph, treespace, vegan
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://cygei.github.io/mixtree/
NeedsCompilation: no
Packaged: 2025-03-03 11:48:59 UTC; cg1521
Author: Cyril Geismar [aut, cre, cph]
Maintainer: Cyril Geismar <c.geismar21@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2025-03-05 13:00:06 UTC

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New package pct with initial version 0.10.0
Package: pct
Title: Propensity to Cycle Tool
Version: 0.10.0
Description: Functions and example data to teach and increase the reproducibility of the methods and code underlying the Propensity to Cycle Tool (PCT), a research project and web application hosted at <https://www.pct.bike/>. For an academic paper on the methods, see Lovelace et al (2017) <doi:10.5198/jtlu.2016.862>.
Depends: R (>= 3.5.0)
License: GPL-3
URL: https://itsleeds.github.io/pct/, https://github.com/ITSLeeds/pct
BugReports: https://github.com/ITSLeeds/pct/issues
Encoding: UTF-8
LazyData: true
Imports: boot, stplanr (>= 0.2.8), readr, sf, crul
Suggests: covr, curl, dplyr, ggplot2, knitr, leaflet, pbapply, remotes, rmarkdown, tmap, bookdown
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2025-03-04 23:38:32 UTC; robin
Author: Robin Lovelace [aut, cre] , Layik Hama [aut] , Nathanael Sheehan [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-05 08:40:07 UTC

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Tue, 04 Mar 2025

New package dda with initial version 0.1.0
Package: dda
Title: Direction Dependence Analysis
Version: 0.1.0
License: MIT + file LICENSE
Maintainer: Wolfgang Wiedermann <wiedermannw@missouri.edu>
Description: A collection of tests to analyze the causal direction of dependence in linear models (Wiedermann, W., & von Eye, A., 2025, ISBN: 9781009381390). The package includes functions to perform Direction Dependence Analysis for variable distributions, residual distributions, and independence properties of predictors and residuals in competing causal models. In addition, the package contains functions to test the causal direction of dependence in conditional models (i.e., models with interaction terms) For more information see <https://www.ddaproject.com>.
Imports: dHSIC, energy, foreach, graphics, methods, stats
Suggests: boot, doParallel, devtools, interactions, iterators, lmtest, moments, spelling, testthat (>= 3.0.0), waldo
Encoding: UTF-8
URL: https://github.com/wwiedermann/dda
NeedsCompilation: no
Packaged: 2025-02-28 20:54:43 UTC; mhirni
Author: Wolfgang Wiedermann [aut, cre], Megan Hirni [aut]
Repository: CRAN
Date/Publication: 2025-03-04 21:00:01 UTC

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New package likelihoodTools with initial version 1.0.0
Package: likelihoodTools
Title: Managing Results from Maximum Likelihood Estimation
Version: 1.0.0
Description: Managing and exploring parameter estimation results derived from Maximum Likelihood Estimation (MLE) using the 'likelihood' package. It provides functions for organizing, visualizing, and summarizing MLE outcomes, streamlining statistical analysis workflows. By improving interpretation and facilitating model evaluation, it helps users gain deeper insights into parameter estimation and model fitting, making MLE result exploration more efficient and accessible. See Goffe et al. (1994) <doi:10.1016/0304-4076(94)90038-8> for details on MLE, and Canham and Uriarte (2006) <doi:10.1890/04-0657> for application of MLE using 'likelihood'.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ajpelu/likelihoodTools, https://ajpelu.github.io/likelihoodTools/
BugReports: https://github.com/ajpelu/likelihoodTools/issues
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, rlang
Suggests: testthat (>= 3.0.0), likelihood, kableExtra, MASS, patchwork, spelling
Language: en-US
NeedsCompilation: no
Packaged: 2025-02-28 14:53:55 UTC; ajpelu
Author: Antonio Jesus Perez-Luque [cre, aut, cph]
Maintainer: Antonio Jesus Perez-Luque <ajpelu@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-04 12:40:02 UTC

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