Thu, 23 May 2024

New package lfproQC with initial version 0.1.0
Package: lfproQC
Title: Quality Control for Label-Free Proteomics Expression Data
Version: 0.1.0
Maintainer: Kabilan S <kabilan151414@gmail.com>
Description: Label-free bottom-up proteomics expression data is often affected by data heterogeneity and missing values. Normalization and missing value imputation are commonly used techniques to address these issues and make the dataset suitable for further downstream analysis. This package provides an optimal combination of normalization and imputation methods for the dataset. The package utilizes three normalization methods and three imputation methods.The statistical evaluation measures named pooled co-efficient of variance, pooled estimate of variance and pooled median absolute deviation are used for selecting the best combination of normalization and imputation method for the given dataset. The user can also visualize the results by using various plots available in this package. The user can also perform the differential expression analysis between two sample groups with the function included in this package. The chosen three normalization methods, three imputation methods and three evaluati [...truncated...]
Imports: VIM, dplyr, limma, matrixStats, pcaMethods, vsn, reshape2, laeken, ggplot2, Hmisc, reshape, stats, tidyr, magrittr, plotly, MASS, tidyselect
Suggests: knitr, plyr, rmarkdown, testthat (>= 3.0.0), tibble
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2)
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-22 13:55:21 UTC; kabil
Author: Kabilan S [aut, cre], Dr Shashi Bhushan Lal [aut, ths], Dr Sudhir Srivastava [aut, ths], Dr Krishna Kumar Chaturvedi [ths], Dr Yasin Jeshima K [ths], Dr Ramasubramanian V [ths], Dr Girish Kumar Jha [ctb]
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2024-05-23 16:10:02 UTC

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New package EGM with initial version 0.1.0
Package: EGM
Title: Evaluating Cardiac Electrophysiology Signals
Version: 0.1.0
Description: A system for importing electrophysiological signal, based on the 'Waveform Database (WFDB)' software package, written by Moody et al 2022 <doi:10.13026/gjvw-1m31>. A wrapper for utilizing 'WFDB' functions for reading and writing signal data, as well as functions for visualization and analysis are provided. A stable and broadly compatible class for working with signal data, supporting the reading in of cardiac electrophysiogical files such as intracardiac electrograms, is introduced.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0), vctrs (>= 0.5.0), data.table (>= 1.15.0)
Imports: stats, fs, ggplot2, lifecycle, rlang, utils, xml2, base64enc, checkmate, stringr,
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), withr,
URL: https://shah-in-boots.github.io/EGM/
BugReports: https://github.com/shah-in-boots/EGM/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-05-22 14:45:59 UTC; asshah4
Author: Anish S. Shah [aut, cre, cph]
Maintainer: Anish S. Shah <ashah282@uic.edu>
Repository: CRAN
Date/Publication: 2024-05-23 16:10:05 UTC

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New package stbl with initial version 0.1.1
Package: stbl
Title: Stabilize Function Arguments
Version: 0.1.1
Description: A set of consistent, opinionated functions to quickly check function arguments, coerce them to the desired configuration, or deliver informative error messages when that is not possible.
License: MIT + file LICENSE
URL: https://github.com/jonthegeek/stbl, https://jonthegeek.github.io/stbl/
BugReports: https://github.com/jonthegeek/stbl/issues
Imports: cli, glue, rlang (>= 1.1.0), vctrs
Suggests: stringi, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-22 12:49:52 UTC; jonth
Author: Jon Harmon [aut, cre, cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-23 15:40:02 UTC

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New package probstats4econ with initial version 0.2.0
Package: probstats4econ
Title: Companion Package to Probability and Statistics for Economics and Business
Version: 0.2.0
Description: Utilities for multiple hypothesis testing, companion datasets from "Probability and Statistics for Economics and Business: An Introduction Using R" by Jason Abrevaya (MIT Press, under contract).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Suggests: testthat (>= 3.0.0), estimatr (>= 1.0.0)
URL: https://www.probstats4econ.com/package.html, https://www.probstats4econ.com/
Contact: abrevaya@austin.utexas.edu
NeedsCompilation: no
Packaged: 2024-05-22 13:05:01 UTC; nate
Author: Jason Abrevaya [aut, cph], Nathan Gardner Hattersley [aut, cre]
Maintainer: Nathan Gardner Hattersley <nhattersley@utexas.edu>
Repository: CRAN
Date/Publication: 2024-05-23 15:40:08 UTC

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New package gpuR with initial version 2.0.6
Package: gpuR
Title: GPU Functions for R Objects
Description: Provides GPU enabled functions for 'R' objects in a simple and approachable manner. New 'gpu*' and 'vcl*' classes have been provided to wrap typical 'R' objects (e.g. vector, matrix), in both host and device spaces, to mirror typical 'R' syntax without the need to know 'OpenCL'.
Version: 2.0.6
Date: 2024-05-22
Maintainer: Ruoyong Xu <ruoyong.xu@mail.utoronto.ca>
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.0.2), methods, utils
Imports: Rcpp (>= 0.12.15), RViennaCL, BH, RcppEigen
LinkingTo: Rcpp (>= 0.12.15), RcppEigen (>= 0.3.3.4.0), RViennaCL (>= 1.7.1.7), BH
NeedsCompilation: yes
Suggests: testthat, knitr
URL: https://github.com/eborgnine/gpuR
BugReports: https://github.com/cdeterman/gpuR/issues/new
SystemRequirements: C++11 (supporting at least std=c++0x), OpenCL shared library (provided by an SDK such as AMD/NVIDIA) and OpenCL headers including the C++ header file (provided by Khronos if not by SDK)
OS_type: unix
Packaged: 2024-05-22 13:53:23 UTC; ruoyong
Author: Charles Determan Jr [aut, cph], Patrick Brown [aut, ctb] , Ruoyong Xu [cre, ctb] , The Khronos Group Inc [cph]
Repository: CRAN
Date/Publication: 2024-05-23 16:00:02 UTC

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New package factorplot with initial version 1.2.3
Package: factorplot
Title: Presenting Pairwise Comparisons
Version: 1.2.3
Depends: multcomp
Suggests: nnet, carData
Description: The tools herein calculate, print, summarize and plot pairwise differences that result from generalized linear models, general linear hypothesis tests and multinomial logistic regression models. For more information, see Armstrong (2013) <doi:10.32614/RJ-2013-021>.
License: GPL (>= 2)
LazyLoad: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-22 13:23:01 UTC; david
Author: Dave Armstrong [aut, cre]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-23 15:50:07 UTC

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New package nadiv with initial version 2.18.0
Package: nadiv
Title: (Non)Additive Genetic Relatedness Matrices
Version: 2.18.0
URL: https://github.com/matthewwolak/nadiv
BugReports: https://github.com/matthewwolak/nadiv/issues
Depends: R (>= 4.2.0), Matrix
Suggests: parallel
Enhances: MCMCglmm, asreml
Imports: graphics, methods, stats
License: GPL (>= 2)
LazyData: yes
NeedsCompilation: yes
Description: Constructs (non)additive genetic relationship matrices, and their inverses, from a pedigree to be used in linear mixed effect models (A.K.A. the 'animal model'). Also includes other functions to facilitate the use of animal models. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml>).
Encoding: UTF-8
Packaged: 2024-05-23 12:43:09 UTC; mew0099
Author: Matthew Wolak [cre, aut]
Maintainer: Matthew Wolak <matthewwolak@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-23 14:40:02 UTC

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New package vek with initial version 1.0.0
Package: vek
Title: Predicate Helper Functions for Testing Simple Atomic Vectors
Version: 1.0.0
Maintainer: Sam Semegne <sam.ahoi@hotmail.com>
Description: Predicate helper functions for testing atomic vectors in R. All functions take a single argument 'x' and check whether it's of the target type of base-R atomic vector (i.e. no class extensions nor attributes other than 'names'), returning TRUE or FALSE. Some additionally check for value (e.g. absence of missing values, infinities, blank characters, or 'names' attribute; or having length 1).
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.0)
Suggests: tinytest (>= 1.4.1)
URL: https://github.com/samsemegne/vek
NeedsCompilation: no
Packaged: 2024-05-22 07:36:31 UTC; Sam
Author: Sam Semegne [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-23 07:40:03 UTC

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New package SoilFunctionality with initial version 0.1.0
Package: SoilFunctionality
Title: Soil Functionality Measurement
Version: 0.1.0
Maintainer: Tanuj Misra <tanujmisra102@gmail.com>
Description: Generally, soil functionality is characterized by its capability to sustain microbial activity, nutritional element supply, structural stability and aid for crop production. Since soil functions can be linked to 80% of ecosystem services, conservation of degraded land should strive to restore not only the capacity of soil to sustain flora but also ecosystem provisions. The primary ecosystem services of soil are carbon sequestration, food or biomass production, provision of microbial habitat, nutrient recycling. However, the actual magnitude of soil functions provided by agricultural land uses has never been quantified. Nutrient supply capacity (NSC) is a measure of nutrient dynamics in restored land uses. Carbon accumulation proficiency (CAP) is a measure of ecosystem carbon sequestration. Biological activity index (BAI) is the average of responses of all enzyme activities in treated land over control/reference land. The CAP parameter investigates how land uses may affect carbon flows, [...truncated...]
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-22 07:11:23 UTC; LENOVO
Author: Avijit Ghosh [aut, cph], Tanuj Misra [aut, cre, cph], Amit Kumar Singh [aut, cph], Arun Shukla [aut, cph], Saurav Singla [aut, ctb, cph]
Repository: CRAN
Date/Publication: 2024-05-23 07:30:02 UTC

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New package MetaNLP with initial version 0.1.2
Package: MetaNLP
Title: Natural Language Processing for Meta Analysis
Version: 0.1.2
Description: Given a CSV file with titles and abstracts, the package creates a word count matrix that is lemmatized and stemmed and can directly be used to train machine learning methods for automatic title-abstract screening in the preparation of a meta analysis.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), covr, wordcloud, vdiffr
Imports: glmnet, tm, textstem, methods, lexicon, utils
Encoding: UTF-8
BugReports: https://github.com/imbi-heidelberg/MetaNLP/issues
URL: https://github.com/imbi-heidelberg/MetaNLP
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-05-21 20:21:15 UTC; Nico Bruder
Author: Nico Bruder [aut], Samuel Zimmermann [aut] , Johannes Vey [aut] , Maximilian Pilz [aut, cre] , Institute of Medical Biometry - University of Heidelberg [cph]
Maintainer: Maximilian Pilz <maximilian.pilz@itwm.fraunhofer.de>
Repository: CRAN
Date/Publication: 2024-05-23 07:30:05 UTC

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Wed, 22 May 2024

New package qMRI with initial version 1.2.7.6
Package: qMRI
Title: Methods for Quantitative Magnetic Resonance Imaging ('qMRI')
Version: 1.2.7.6
Date: 2024-05-17
Maintainer: Karsten Tabelow <karsten.tabelow@wias-berlin.de>
Depends: R (>= 3.5), awsMethods (>= 1.0), methods, parallel
Imports: oro.nifti (>= 0.9), stringr, aws (>= 2.4), adimpro (>= 0.9)
LazyData: TRUE
Description: Implementation of methods for estimation of quantitative maps from Multi-Parameter Mapping (MPM) acquisitions (Weiskopf et al. (2013) <doi:10.3389/fnins.2013.00095>) and analysis of Inversion Recovery MRI data. Usage of the package is described in Polzehl and Tabelow (2023), "Magnetic Resonance Brain Imaging", 2nd Edition, Chapter 6 and 7, Springer, Use R! Series. <doi:10.1007/978-3-031-38949-8>. J. Polzehl and K. Tabelow (2023), "Magnetic Resonance Brain Imaging - Modeling and Data Analysis Using R: Code and Data." <doi:10.20347/WIAS.DATA.6> provides extensive example code and data.
License: GPL (>= 2)
Copyright: This package is Copyright (C) 2015-2024 Weierstrass Institute for Applied Analysis and Stochastics.
URL: https://www.wias-berlin.de/research/ats/imaging/
Suggests: covr, testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-05-22 08:40:06 UTC; tabelow
Author: Joerg Polzehl [aut], Karsten Tabelow [aut, cre], WIAS Berlin [cph, fnd]
Repository: CRAN
Date/Publication: 2024-05-22 21:20:03 UTC

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New package phoenics with initial version 0.1
Package: phoenics
Title: Pathways Longitudinal and Differential Analysis in Metabolomics
Version: 0.1
Date: 2024-04-22
Depends: R (>= 4.0.0)
Imports: lme4, blme, tibble, FactoMineR, factoextra, tidyr, stats
Suggests: KEGGREST
Maintainer: Camille Guilmineau <camille.guilmineau@inrae.fr>
Description: Perform a differential analysis at pathway level based on metabolite quantifications and information on pathway metabolite composition. The method is based on a Principal Component Analysis step and on a linear mixed model. Automatic query of metabolic pathways is also implemented.
License: GPL-3
Repository: CRAN
BugReports: https://forgemia.inra.fr/panoramics/phoenics/-/issues
Encoding: UTF-8
NeedsCompilation: no
URL: https://forgemia.inra.fr/panoramics/phoenics
LazyData: true
Packaged: 2024-05-21 11:56:10 UTC; cguilmineau
Author: Camille Guilmineau [aut, cre], Remi Servien [aut] , Nathalie Vialaneix [aut]
Date/Publication: 2024-05-22 12:20:02 UTC

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New package MN with initial version 1.0
Package: MN
Title: Matrix Normal Distribution
Version: 1.0
Date: 2024-05-21
Author: Michail Tsagris [aut, cre], Alzeley Omar [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast
Description: Density computation, random matrix generation and maximum likelihood estimation of the matrix normal distribution. References: Pocuca N., Gallaugher M. P., Clark K. M. & McNicholas P. D. (2019). Assessing and Visualizing Matrix Variate Normality. <doi:10.48550/arXiv.1910.02859> and the relevant wikipedia page.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-05-21 11:55:32 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-05-22 12:20:10 UTC

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New package JDCruncheR with initial version 0.2.4
Package: JDCruncheR
Title: Interface Between the 'JDemetra+' Cruncher and R, and Quality Report Generator
Version: 0.2.4
Description: Tool for generating quality reports from cruncher outputs (and calculating series scores). The latest version of the cruncher can be downloaded here: <https://github.com/jdemetra/jwsacruncher/releases>.
URL: https://github.com/InseeFr/JDCruncheR
BugReports: https://github.com/InseeFr/JDCruncheR/issues
Imports: XLConnect (>= 1.0.0)
Suggests: knitr, kableExtra, rmarkdown
License: EUPL
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-21 15:07:03 UTC; UTZK0M
Author: Tanguy Barthelemy [aut, cre, art], Alain Quartier-la-Tente [aut] , Institut national de la statistique et des etudes economiques [cph] , Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2024-05-22 12:20:13 UTC

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New package fastbackward with initial version 1.0.0
Package: fastbackward
Title: Fast Backward Elimination Based on Information Criterion
Version: 1.0.0
Date: 2024-5-21
Maintainer: Jacob Seedorff <jacob-seedorff@uiowa.edu>
URL: https://github.com/JacobSeedorff21/fastbackward
BugReports: https://github.com/JacobSeedorff21/fastbackward/issues
Description: Performs backward elimination with similar syntax to the stepAIC function from the 'MASS' package. A bounding algorithm is used to avoid fitting unnecessary models, making it much faster.
License: Apache License (>= 2)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: MASS
NeedsCompilation: no
Packaged: 2024-05-21 23:35:05 UTC; Jacob
Author: Jacob Seedorff [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-22 13:00:02 UTC

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New package CompMix with initial version 0.1.0
Package: CompMix
Title: A Comprehensive Toolkit for Environmental Mixtures Analysis ('CompMix')
Version: 0.1.0
Description: Quantitative characterization of the health impacts associated with exposure to chemical mixtures has received considerable attention in current environmental and epidemiological studies. 'CompMix' package allows practitioners to estimate the health impacts from exposure to chemical mixtures data through various statistical approaches, including Lasso, Elastic net, Bayeisan kernel machine regression (BKMR), hierNet, Quantile g-computation, Weighted quantile sum (WQS) and Random forest. Hao W, Cathey A, Aung M, Boss J, Meeker J, Mukherjee B. (2024) "Statistical methods for chemical mixtures: a practitioners guide". <DOI:10.1101/2024.03.03.24303677>.
License: GPL-3
Imports: Matrix, mvtnorm, gglasso, higlasso, hierNet, glmnet, SuperLearner, bkmr, qgcomp, gWQS, pROC, randomForest, devtools
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-21 03:18:28 UTC; weiha
Author: Wei Hao [aut, cre]
Maintainer: Wei Hao <weihao@umich.edu>
Repository: CRAN
Date/Publication: 2024-05-22 12:10:02 UTC

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New package beaver with initial version 1.0.0
Package: beaver
Title: Bayesian Model Averaging of Covariate Adjusted Negative-Binomial Dose-Response
Version: 1.0.0
Description: Dose-response modeling for negative-binomial distributed data with a variety of dose-response models. Covariate adjustment and Bayesian model averaging is supported. Functions are provided to easily obtain inference on the dose-response relationship and plot the dose-response curve.
License: MIT + file LICENSE
URL: https://github.com/rich-payne/beaver
Depends: R (>= 3.5.0)
Imports: checkmate (>= 2.1), dplyr (>= 1.0), ellipsis (>= 0.3), fs (>= 1.5), ggplot2 (>= 3.3), purrr (>= 0.3), rjags (>= 4.12), rlang (>= 1.0), stringr (>= 1.5), tibble (>= 3.1), tidyr (>= 1.1), yodel (>= 1.0)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-05-21 21:43:59 UTC; c050983
Author: Richard Payne [aut], Hollins Showalter [aut, cre], Eli Lilly and Company [cph]
Maintainer: Hollins Showalter <hollins.showalter@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-22 13:00:06 UTC

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New package bdlim with initial version 0.4.1
Package: bdlim
Title: Bayesian Distributed Lag Interaction Models
Version: 0.4.1
Date: 2024-05-17
Description: Estimation and interpretation of Bayesian distributed lag interaction models (BDLIMs). A BDLIM regresses a scalar outcome on repeated measures of exposure and allows for modification by a categorical variable under four specific patterns of modification. The main function is bdlim(). There are also summary and plotting files. Details on methodology are described in Wilson et al. (2017) <doi:10.1093/biostatistics/kxx002>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, tidyr, LaplacesDemon, ggplot2, parallel, BayesLogit
BugReports: https://github.com/anderwilson/bdlim/issues/
URL: https://anderwilson.github.io/bdlim/, https://github.com/AnderWilson/bdlim/
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-21 15:09:53 UTC; anderwilson
Author: Ander Wilson [aut, cre]
Maintainer: Ander Wilson <ander.wilson@colostate.edu>
Repository: CRAN
Date/Publication: 2024-05-22 12:20:06 UTC

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New package minty with initial version 0.0.1
Package: minty
Title: Minimal Type Guesser
Version: 0.0.1
Description: Port the type guesser from 'readr' (so-called 'readr' first edition parsing engine, now superseded by 'vroom').
License: MIT + file LICENSE
URL: https://gesistsa.github.io/minty/, https://github.com/gesistsa/minty
BugReports: https://github.com/gesistsa/minty/issues
Depends: R (>= 3.6)
LinkingTo: cpp11, tzdb (>= 0.1.1)
Encoding: UTF-8
Language: en-US
Imports: tzdb
Suggests: knitr, stringi, testthat, withr, hms, readr
NeedsCompilation: yes
Packaged: 2024-05-20 11:16:09 UTC; chainsawriot
Author: Chung-hong Chan [aut, cre] , Hadley Wickham [aut] , Jim Hester [aut] , Romain Francois [ctb] , Jennifer Bryan [aut] , Shelby Bearrows [ctb] , Posit Software, PBC [cph] , David Olson [aut]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-22 11:50:06 UTC

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New package refseqR with initial version 1.0.2
Package: refseqR
Title: Common Computational Operations Working with RefSeq Entries (GenBank)
Version: 1.0.2
Maintainer: Jose V. Die <jose.die@uco.es>
Description: Fetches NCBI data (RefSeq <https://www.ncbi.nlm.nih.gov/refseq/> database) and provides an environment to extract information at the level of gene, mRNA or protein accessions.
License: MIT + file LICENSE
URL: https://github.com/jdieramon/refseqR
BugReports: https://github.com/jdieramon/refseqR/issues
Encoding: UTF-8
Imports: IRanges, rentrez, tibble, Biostrings
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-15 17:04:22 UTC; jdieramon
Author: Jose V. Die [aut, cre] , Lluis Revilla Sancho [ctb]
Repository: CRAN
Date/Publication: 2024-05-22 09:50:02 UTC

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Tue, 21 May 2024

New package EloOptimized with initial version 0.3.2
Package: EloOptimized
Title: Optimized Elo Rating Method for Obtaining Dominance Ranks
Version: 0.3.2
Date: 2024-05-21
Description: Provides an implementation of the maximum likelihood methods for deriving Elo scores as published in Foerster, Franz et al. (2016) <DOI:10.1038/srep35404>.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, reshape2, BAMMtools, magrittr, methods, lubridate, rlang
URL: https://github.com/jtfeld/EloOptimized
BugReports: https://github.com/jtfeld/EloOptimized/issues
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-21 18:01:40 UTC; jtf9
Author: Joseph Feldblum [aut, cre], Steffen Foerster [aut], Mathias Franz [aut]
Maintainer: Joseph Feldblum <jtf9@duke.edu>
Repository: CRAN
Date/Publication: 2024-05-21 22:20:02 UTC

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New package baorista with initial version 0.1.2
Package: baorista
Title: Bayesian Aoristic Analyses
Version: 0.1.2
Description: Provides an alternative approach to aoristic analyses for archaeological datasets by fitting Bayesian parametric growth models and non-parametric random-walk Intrinsic Conditional Autoregressive (ICAR) models on time frequency data (Crema (2024)<doi:10.1111/arcm.12984>). It handles event typo-chronology based timespans defined by start/end date as well as more complex user-provided vector of probabilities.
Depends: R (>= 3.5.0), nimble (>= 0.12.0)
Imports: stats,coda,graphics
Suggests: knitr, rmarkdown
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2024-05-19 14:30:25 UTC; erc
Author: Enrico Crema [aut, cre]
Maintainer: Enrico Crema <enrico.crema@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-21 22:10:03 UTC

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New package eummd with initial version 0.1.9
Package: eummd
Title: Efficient Univariate Maximum Mean Discrepancy
Version: 0.1.9
Date: 2024-05-18
Description: Computes maximum mean discrepancy two-sample test for univariate data using the Laplacian kernel, as described in Bodenham and Kawahara (2023) <doi:10.1007/s11222-023-10271-x>. The p-value is computed using permutations. Also includes implementation for computing the robust median difference statistic 'Q_n' from Croux and Rousseeuw (1992) <doi:10.1007/978-3-662-26811-7_58> based on Johnson and Mizoguchi (1978) <doi:10.1137/0207013>.
Depends: R (>= 4.1.0), Rcpp (>= 1.0.0)
License: GPL-2 | GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-05-18 17:06:25 UTC; dean
Author: Dean Bodenham [aut, cre]
Maintainer: Dean Bodenham <deanbodenhampkgs@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-21 16:20:02 UTC

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New package tabulapdf with initial version 1.0.5-3
Package: tabulapdf
Title: Extract Tables from PDF Documents
Description: Bindings for the 'Tabula' <https://tabula.technology/> 'Java' library, which can extract tables from PDF files. This tool can reduce time and effort in data extraction processes in fields like investigative journalism. It allows for automatic and manual table extraction, the latter facilitated through a 'Shiny' interface, enabling manual areas selection\ with a computer mouse for data retrieval.
Version: 1.0.5-3
License: Apache License (>= 2)
URL: https://docs.ropensci.org/tabulapdf/ (website) https://github.com/ropensci/tabulapdf/
BugReports: https://github.com/ropensci/tabulapdf/issues/
Imports: png, readr, rJava, tools, utils
Suggests: graphics, grDevices, knitr, miniUI, shiny, testthat, rmarkdown, covr
SystemRequirements: Java (>= 7.0): openjdk-11-jdk (deb), java-11-openjdk.x86_64 (rpm), openjdk@11 (brew)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-20 21:23:33 UTC; pacha
Author: Thomas J. Leeper [aut] , Mauricio Vargas Sepulveda [aut, cre] , Tom Paskhalis [aut] , Manuel Aristaran [ctb], David Gohel [ctb] , Lincoln Mullen [ctb]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-05-21 15:20:03 UTC

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New package rjdworkspace with initial version 1.1.7
Package: rjdworkspace
Title: Manipulate 'JDemetra+' Workspaces
Version: 1.1.7
Description: Set of tools to manipulate the 'JDemetra+' workspaces. Based on the 'RJDemetra' package (which interfaces with version 2 of the 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks). This package provides access to additional workspace manipulation functions such as metadata manipulation, raw paths and wrangling of several workspaces simultaneously. These additional functionalities are useful as part of a CVS data production chain.
Depends: R (>= 3.1.1)
Imports: rJava (>= 0.9-8), RJDemetra, XML
License: EUPL
URL: https://github.com/InseeFrLab/rjdworkspace
BugReports: https://github.com/InseeFrLab/rjdworkspace/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-20 14:29:48 UTC; UTZK0M
Author: Tanguy Barthelemy [aut, cre, art], Alain Quartier-la-Tente [aut] , Institut national de la statistique et des etudes economiques [cph] , Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2024-05-21 15:10:02 UTC

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New package infoelectoral with initial version 1.0.1
Package: infoelectoral
Title: Download Spanish Election Results
Version: 1.0.1
Maintainer: Hector Meleiro <hmeleiros@gmail.com>
Description: Download official election results for Spain at polling station, municipality and province level from the Ministry of Interior (<https://infoelectoral.interior.gob.es/es/elecciones-celebradas/area-de-descargas/>), format them and import them to the R environment.
Depends: R (>= 3.5.0)
License: GPL-2
URL: https://github.com/rOpenSpain/infoelectoral
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 1.0.0), stringr (>= 1.0.0)
Suggests: mapSpain, tmap, tidyr, preferably, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-20 09:32:29 UTC; hmele
Author: Hector Meleiro [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-21 15:50:12 UTC

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New package scorematchingad with initial version 0.0.60
Package: scorematchingad
Title: Score Matching Estimation by Automatic Differentiation
Version: 0.0.60
Description: Hyvärinen's score matching (Hyvärinen, 2005) <https://jmlr.org/papers/v6/hyvarinen05a.html> is a useful estimation technique when the normalising constant for a probability distribution is difficult to compute. This package implements score matching estimators using automatic differentiation in the 'CppAD' library <https://github.com/coin-or/CppAD> and is designed for quickly implementing score matching estimators for new models. Also available is general robustification (Windham, 1995) <https://www.jstor.org/stable/2346159>. Already in the package are estimators for directional distributions (Mardia, Kent and Laha, 2016) <doi:10.48550/arXiv.1604.08470> and the flexible Polynomially-Tilted Pairwise Interaction model for compositional data. The latter estimators perform well when there are zeros in the compositions (Scealy and Wood, 2023) <doi:10.1080/01621459.2021.2016422>, even many zeros (Scealy, Hingee, Kent, and Wood, 2024) <doi:10.1007/s11222-024-1 [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: testthat, ks, movMF, cubature, simdd, numDeriv
Enhances: RcppEigen (>= 0.3.3.7), RcppXPtrUtils
Depends: R (>= 3.5.0)
Imports: MCMCpack, optimx, FixedPoint, Rdpack, Rcpp (>= 1.0.9), methods, stats, R6, utils, rlang, ellipsis
LinkingTo: Rcpp (>= 1.0.9), RcppEigen (>= 0.3.3.7)
NeedsCompilation: yes
Packaged: 2024-05-20 02:01:18 UTC; kassel
Author: Kassel Liam Hingee [aut, cre] , Janice Scealy [aut] , Bradley M. Bell [cph]
Maintainer: Kassel Liam Hingee <kassel.hingee@anu.edu.au>
Repository: CRAN
Date/Publication: 2024-05-21 14:50:03 UTC

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New package pql with initial version 0.1.0
Package: pql
Title: A Partitioned Quasi-Likelihood for Distributed Statistical Inference
Version: 0.1.0
Author: Guangbao Guo [aut, cre], Jiarui Li [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: In the big data setting, working data sets are often distributed on multiple machines. However, classical statistical methods are often developed to solve the problems of single estimation or inference. We employ a novel parallel quasi-likelihood method in generalized linear models, to make the variances between different sub-estimators relatively similar. Estimates are obtained from projection subsets of data and later combined by suitably-chosen unknown weights. The philosophy of the package is described in Guo G. (2020) <doi:10.1007/s00180-020-00974-4>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: parallel,pracma
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-05-16 11:30:36 UTC; LJR
Repository: CRAN
Date/Publication: 2024-05-21 14:20:02 UTC

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New package MPCR with initial version 1.1.1
Package: MPCR
Title: Multi- And Mixed-Precision Computations
Version: 1.1.1
Date: 2024-05-01
Author: David Helmy [aut], Sameh Abdulah [cre], KAUST King Abdullah University of Science and Technology [fnd, cph]
Maintainer: Sameh Abdulah <sameh.abdulah@kaust.edu.sa>
Description: Designed for multi- and mixed-precision computations, accommodating 64-bit and 32-bit data structures. This flexibility enables fast execution across various applications. The package enhances performance by optimizing operations in both precision levels, which is achieved by integrating with high-speed 'BLAS' and 'LAPACK' libraries like 'MKL' and 'OpenBLAS'. Including a 32-bit option caters to applications where high precision is unnecessary, accelerating computational processes whenever feasible. The package also provides support for tile-based algorithms in three linear algebra operations: CHOL(), TRSM(), and GEMM(). The tile-based algorithm splits the matrix into smaller tiles, facilitating parallelization through a predefined Directed Acyclic Graph (DAG) for each operation. Enabling 'OpenMP' enhances the efficiency of these operations, leveraging multi-core parallelism. In this case, 'MPCR' facilitates mixed-precision execution by permitting varying precision levels for different [...truncated...]
License: GPL (>= 3)
Imports: methods, Rcpp (>= 1.0.9)
Depends: R (>= 3.6.0)
SystemRequirements: CMake (>= 3.19.4) , C++ (>= 11) , git (>= 2.0.0)
NeedsCompilation: yes
OS_type: unix
URL: https://github.com/stsds/MPCR
BugReports: https://github.com/stsds/MPCR/issues
Packaged: 2024-05-01 09:17:54 UTC; david
Repository: CRAN
Date/Publication: 2024-05-21 14:10:06 UTC

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New package ggdaynight with initial version 0.1.1
Package: ggdaynight
Title: Add Day/Night Patterns to 'ggplot2' Plots
Version: 0.1.1
Description: It provides a custom 'ggplot2' geom to add day/night patterns to plots. It visually distinguishes daytime and nighttime periods. It is useful for visualizing data that spans multiple days and for highlighting diurnal patterns.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/GabrielSlPires/ggdaynight
BugReports: https://github.com/GabrielSlPires/ggdaynight/issues
Imports: ggplot2, grid
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0), vdiffr
NeedsCompilation: no
Packaged: 2024-05-18 19:44:30 UTC; gabriel
Author: Gabriel S. Pires [aut, cre, cph]
Maintainer: Gabriel S. Pires <gabriel.slpires@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-21 14:10:02 UTC

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New package eq5dsuite with initial version 1.0.0
Package: eq5dsuite
Title: Manipulating and Analysing EQ-5d Data
Version: 1.0.0
Maintainer: Kim Rand <krand@mathsinhealth.com>
Description: The EQ-5D is a widely-used standarized instrument for measuring Health Related Quality Of Life (HRQOL), developed by the EuroQol group <https://euroqol.org/>. It assesses five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, using either a three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale. Scores from these dimensions are commonly converted into a single utility index using country-specific value sets, which are critical in clinical and economic evaluations of healthcare and in population health surveys. The eq5dsuite package enables users to calculate utility index values for the EQ-5D instruments, including crosswalk utilities using the original crosswalk developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008> (mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently developed reverse crosswalk by van Hout et al. (2021) <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses to EQ-5D-5L in [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: dplyr, ggplot2, moments, RColorBrewer, rlang, scales, stringr, tidyr, rappdirs
NeedsCompilation: no
Packaged: 2024-05-15 04:08:04 UTC; aeste
Author: Kim Rand [aut, cre] , Iryna Schlackow [aut] , Anabel Estevez-Carrillo [aut]
Repository: CRAN
Date/Publication: 2024-05-21 15:00:03 UTC

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New package Rnest with initial version 0.0.0.1
Package: Rnest
Title: Next Eigenvalue Sufficiency Test
Version: 0.0.0.1
Description: Determine the number of dimensions to retain in exploratory factor analysis. The main function, nest(), returns the solution and the plot(nest()) returns a plot.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: crayon (>= 1.4.0), ggplot2 (>= 3.3.0), scales (>= 1.0.0), EFA.MRFA (>= 1.1.2), fungible (>= 2.3), MASS (>= 7.3-58.1)
NeedsCompilation: no
Packaged: 2024-05-17 17:21:15 UTC; pocar
Author: P.-O. Caron [aut, cre, cph]
Maintainer: P.-O. Caron <pocaron19@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-05-21 13:30:03 UTC

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New package GUEST with initial version 0.1.0
Package: GUEST
Title: Graphical Models in Ultrahigh-Dimensional and Error-Prone Data via Boosting Algorithm
Version: 0.1.0
Description: We consider the ultrahigh-dimensional and error-prone data. Our goal aims to estimate the precision matrix and identify the graphical structure of the random variables with measurement error corrected. We further adopt the estimated precision matrix to the linear discriminant function to do classification for multi-label classes.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: sna
Imports: XICOR, network, GGally
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-18 03:14:57 UTC; tsztingfong
Author: Hui-Shan Tsao [aut, cre], Li-Pang Chen [aut]
Maintainer: Hui-Shan Tsao <n410412@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-21 13:30:08 UTC

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Sun, 19 May 2024

New package ravetools with initial version 0.1.5
Package: ravetools
Title: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data
Version: 0.1.5
Language: en-US
Description: Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://openwetware.org/wiki/RAVE>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
BugReports: https://github.com/dipterix/ravetools/issues
URL: https://dipterix.org/ravetools/
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0.0)
SystemRequirements: fftw3 (libfftw3-dev (deb), or fftw-devel (rpm)), pkg-config
Copyright: Karim Rahim (author of R package 'fftwtools', licensed under 'GPL-2' or later) is the original author of 'src/ffts.h' and 'src/ffts.cpp'. Prerau's Lab wrote the original 'R/multitaper.R', licensed under 'MIT'. Marcus Geelnard wrote the source code of 'TinyThread' library ('MIT' license) located at 'inst/include/tthread'. Stefan Schlager wrote the original code that converts R objects to 'vcg' (see 'src/vcgCommon.h', licensed under 'GPL-2' or later). Visual Computing Lab is the copyright holder of 'vcglib' source code (see 'src/vcglib', licensed under GPL-2 or later).
Imports: graphics, stats, filearray (>= 0.1.3), Rcpp, waveslim (>= 1.8.2), signal (>= 0.7.7), pracma, digest (>= 0.6.29), splines, RNiftyReg (>= 2.7.1), R6 (>= 2.5.1)
LinkingTo: Rcpp, RcppEigen
Suggests: fftwtools, bit64, grDevices, microbenchmark, freesurferformats, testthat
LazyData: true
NeedsCompilation: yes
Packaged: 2024-05-15 00:10:49 UTC; dipterix
Author: Zhengjia Wang [aut, cre], John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph] , Karim Rahim [cph, ctb] , Thomas Possidente [cph, ctb] , Michael Prerau [cph, ctb] , Marcus Geelnard [ctb, cph] , Stefan Schlage [...truncated...]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-19 14:30:02 UTC

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Fri, 17 May 2024

New package HydroMe with initial version 2.1.1
Package: HydroMe
Title: Estimating Water Retention and Infiltration Model Parameters using Experimental Data
Version: 2.1.1
Description: Contains functions for estimating the parameters of infiltration and water retention models using the curve-fitting methods as discussed in Omuto and Gumbe (2009) ("Estimating water infiltration and retention characteristics using a computer program in R"<doi:10.1016/j.cageo.2008.08.011>). The models considered are those that are commonly used in soil science. Version 2 of the package has new models for water retention characteristic curves.
License: GPL (>= 3.5.0)
Encoding: UTF-8
LazyData: true
Imports: stats
Suggests: minpack.lm, nlme
NeedsCompilation: no
Packaged: 2024-05-17 18:08:38 UTC; Cthine
Author: Christian Thine Omuto [aut, cre]
Maintainer: Christian Thine Omuto <thineomuto@yahoo.com>
Repository: CRAN
Date/Publication: 2024-05-18 00:10:02 UTC

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New package seqmon with initial version 2.5
Package: seqmon
Title: Group Sequential Design Class for Clinical Trials
Version: 2.5
Date: 2024-05-06
Author: David A Schoenfeld and Hui Zheng
Maintainer: Hui Zheng <hzheng1@mgh.harvard.edu>
Description: S4 class object for creating and managing group sequential designs. It calculates the efficacy and futility boundaries at each look. It allows modifying the design and tracking the design update history.
License: MIT + file LICENSE
Depends: methods
Suggests: roxygen2
NeedsCompilation: no
Packaged: 2024-05-17 23:14:42 UTC; hz029
Repository: CRAN
Date/Publication: 2024-05-17 23:50:08 UTC

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New package streamConnect with initial version 0.0-1
Package: streamConnect
Version: 0.0-1
Date: 2024-05-16
Encoding: UTF-8
Title: Connecting Stream Mining Components Using Sockets and Web Services
Description: Adds functionality to connect stream mining components from package stream using sockets and Web services. The package can be used create distributed workflows and create plumber-based Web services which can be deployed on most common cloud services.
Depends: stream (>= 2.0-0)
Imports: plumber, callr, httr, readr, stringr, jsonlite
Suggests: knitr, httpuv, rmarkdown
BugReports: https://github.com/mhahsler/streamConnect
License: GPL-3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-17 15:55:01 UTC; hahsler
Author: Michael Hahsler [aut, cre, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Repository: CRAN
Date/Publication: 2024-05-17 16:20:03 UTC

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New package mgwrhw with initial version 1.1.1.5
Package: mgwrhw
Title: Displays GWR (Geographically Weighted Regression) and Mixed GWR Output and Map
Version: 1.1.1.5
Description: Display processing results using the GWR (Geographically Weighted Regression) method, display maps, and show the results of the Mixed GWR (Mixed Geographically Weighted Regression) model which automatically selects global variables based on variability between regions. This function refers to Yasin, & Purhadi. (2012). "Mixed Geographically Weighted Regression Model (Case Study the Percentage of Poor Households in Mojokerto 2008)". European Journal of Scientific Research, 188-196. <https://www.researchgate.net/profile/Hasbi-Yasin-2/publication/289689583_Mixed_geographically_weighted_regression_model_case_study_The_percentage_of_poor_households_in_Mojokerto_2008/links/58e46aa40f7e9bbe9c94d641/Mixed-geographically-weighted-regression-model-case-study-The-percentage-of-poor-households-in-Mojokerto-2008.pdf>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Author: Asy-Syaja'ul Haqqul Amin [cre, aut], Waris Marsisno [aut]
Maintainer: Asy-Syaja'ul Haqqul Amin <haqqul.amin06@gmail.com>
Imports: spgwr, sf, psych, ggplot2, dplyr, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-05-17 16:08:05 UTC; User
Repository: CRAN
Date/Publication: 2024-05-17 16:30:02 UTC

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New package spbal with initial version 1.0.0
Package: spbal
Title: Spatially Balanced Sampling Algorithms
Version: 1.0.0
Description: Encapsulates a number of spatially balanced sampling algorithms, namely, Balanced Acceptance Sampling (equal, unequal, seed point, panels), Halton frames (for discretizing a continuous resource), Halton Iterative Partitioning (equal probability) and Simple Random Sampling. Robertson, B. L., Brown, J. A., McDonald, T. and Jaksons, P. (2013) <doi:10.1111/biom.12059>. Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2017) <doi:10.1016/j.spl.2017.05.004>. Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2018) <doi:10.1007/s10651-018-0406-6>. Robertson, B. L., van Dam-Bates, P. and Gansell, O. (2021a) <doi:10.1007/s10651-020-00481-1>.
Depends: R (>= 3.6.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: units, sf, Rcpp
SystemRequirements: C++17
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), bookdown, ggplot2, gridExtra
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppThread
NeedsCompilation: yes
Packaged: 2024-05-17 11:27:33 UTC; phil
Author: Phil Davies [aut, cre], Blair Robertson [aut], Paul van Dam-Bates [aut], Oliver Gansell [aut]
Maintainer: Phil Davies <philip.davies@canterbury.ac.nz>
Repository: CRAN
Date/Publication: 2024-05-17 16:00:02 UTC

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New package crosstalkr with initial version 1.0.5
Package: crosstalkr
Title: Analysis of Graph-Structured Data with a Focus on Protein-Protein Interaction Networks
Version: 1.0.5
Description: Provides a general toolkit for drug target identification. We include functionality to reduce large graphs to subgraphs and prioritize nodes. In addition to being optimized for use with generic graphs, we also provides support to analyze protein-protein interactions networks from online repositories. For more details on core method, refer to Weaver et al. (2021) <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008755>.
License: GPL (>= 3)
Imports: rlang, magrittr, withr, readr, dplyr, stringr, tidyr, tibble, igraph (>= 1.2.0), Matrix, ensembldb, foreach, doParallel, Rcpp, iterators, ggplot2, STRINGdb
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: tidygraph, ggraph, testthat (>= 2.0.0), knitr, EnsDb.Hsapiens.v86, rmarkdown, here
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2024-05-03 14:08:32 UTC; dtw43
Author: Davis Weaver [aut, cre]
Maintainer: Davis Weaver <davis.weaver@case.edu>
Repository: CRAN
Date/Publication: 2024-05-17 11:40:09 UTC

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New package crosslag with initial version 0.1.0
Package: crosslag
Title: Perform Linear or Nonlinear Cross Lag Analysis
Version: 0.1.0
Maintainer: Yaxin Li <LYX010308@163.com>
Description: Linear or nonlinear cross-lagged panel model can be built from input data. Users can choose the appropriate method from three methods for constructing nonlinear cross lagged models. These three methods include polynomial regression, generalized additive model and generalized linear mixed model.In addition, a function for determining linear relationships is provided. Relevant knowledge of cross lagged models can be learned through the paper by Fredrik Falkenström (2024) <doi:10.1016/j.cpr.2024.102435> and the paper by A Gasparrini (2010) <doi:10.1002/sim.3940>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.3.0)
Imports: gamm4 (>= 0.2.6), ggplot2 (>= 3.5.0), lavaan (>= 0.6.17), mgcv (>= 1.9.1), rms (>= 6.8.0), ggpubr (>= 0.6.0), stats (>= 4.3.2), utils (>= 3.1.0)
NeedsCompilation: no
Packaged: 2024-05-16 01:37:56 UTC; lyx01
Author: Yaxin Li [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-17 10:10:03 UTC

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New package smlePH with initial version 0.1.0
Package: smlePH
Title: Sieve Maximum Full Likelihood Estimation for the Right-Censored Proportional Hazards Model
Version: 0.1.0
Author: Susan Halabi [aut], Taehwa Choi [aut, cre], Yuan Wu [aut]
Maintainer: Taehwa Choi <tchoi@sungshin.ac.kr>
Description: Fitting the full likelihood proportional hazards model and extracting the residuals.
URL: https://github.com/taehwa015/smlePH/
BugReports: https://github.com/taehwa015/smlePH/issues/
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown
Imports: MASS, splines2, stats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-16 23:26:48 UTC; taehwa
Repository: CRAN
Date/Publication: 2024-05-17 09:40:02 UTC

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New package MajMinKmeans with initial version 0.1.0
Package: MajMinKmeans
Title: k-Means Algorithm with a Majorization-Minimization Method
Version: 0.1.0
Maintainer: Sheikhi Ayyub <sheikhy.a@uk.ac.ir>
Description: A hybrid of the K-means algorithm and a Majorization-Minimization method to introduce a robust clustering. The reference paper is: Julien Mairal, (2015) <doi:10.1137/140957639>. The two most important functions in package 'MajMinKmeans' are cluster_km() and cluster_MajKm(). Cluster_km() clusters data without Majorization-Minimization and cluster_MajKm() clusters data with Majorization-Minimization method. Both of these functions calculate the sum of squares (SS) of clustering. Another useful function is MajMinOptim(), which helps to find the optimum values of the Majorization-Minimization estimator.
Imports: MASS
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-16 04:24:18 UTC; macbook
Author: Sheikhi Ayyub [aut, cre], Yaghoobi Mohammad Ali [aut]
Repository: CRAN
Date/Publication: 2024-05-17 09:20:09 UTC

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New package lme4breeding with initial version 1.0.1
Package: lme4breeding
Version: 1.0.1
Date: 2024-05-01
Title: Relationship-Based Mixed-Effects Models
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Description: Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
Depends: R(>= 3.0.0), lme4 (>= 1.0), Matrix (>= 1.0), methods, crayon
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
NeedsCompilation: yes
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Repository: CRAN
Suggests: rmarkdown, knitr, orthopolynom, RSpectra
VignetteBuilder: knitr
Packaged: 2024-05-16 13:20:35 UTC; giovannycovarrubias
Date/Publication: 2024-05-17 09:20:03 UTC

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New package KMEANS.KNN with initial version 0.1.0
Package: KMEANS.KNN
Title: KMeans and KNN Clustering Package
Version: 0.1.0
Description: Implementation of Kmeans clustering algorithm and a supervised KNN (K Nearest Neighbors) learning method. It allows users to perform unsupervised clustering and supervised classification on their datasets. Additional features include data normalization, imputation of missing values, and the choice of distance metric. The package also provides functions to determine the optimal number of clusters for Kmeans and the best k-value for KNN: knn_Function(), find_Knn_best_k(), KMEANS_FUNCTION(), and find_Kmeans_best_k().
License: GPL-3
Encoding: UTF-8
Imports: factoextra, cluster, ggplot2, stats, assertthat, class, caret, grDevices
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-16 14:54:49 UTC; USER
Author: LALLOGO Lassane [aut, cre]
Maintainer: LALLOGO Lassane <lassanelallogo2002@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-17 09:20:12 UTC

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New package CleaningValidation with initial version 1.0
Package: CleaningValidation
Version: 1.0
Title: Cleaning Validation Functions for Pharmaceutical Cleaning Process
Description: Provides essential Cleaning Validation functions for complying with pharmaceutical cleaning process regulatory standards. The package includes non-parametric methods to analyze drug active-ingredient residue (DAR), cleaning agent residue (CAR), and microbial colonies (Mic) for non-Poisson distributions. Additionally, Poisson methods are provided for Mic analysis when Mic data follow a Poisson distribution.
License: GPL-3
Depends: R (>= 4.3.0)
Imports: dplyr (>= 1.0.0), rlang, ggplot2 (>= 3.3.3), cowplot (>= 1.1.1), dunn.test, boot, AER, lme4
Encoding: UTF-8
Author: Mohamed Chan [aut], Wendy Lou [aut], Xiande Yang [aut, cre]
Maintainer: Xiande Yang <xyang1@apotex.com>
URL: https://github.com/ChandlerXiandeYang/CleaningValidation
NeedsCompilation: no
Packaged: 2024-05-16 01:35:03 UTC; 14373
Repository: CRAN
Date/Publication: 2024-05-17 09:10:21 UTC

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New package bootsurv with initial version 0.0.1
Package: bootsurv
Title: Bootstrap Methods for Complete Survey Data
Version: 0.0.1
Depends: R (>= 3.5.0)
Description: Bootstrap resampling methods have been widely studied in the context of survey data. This package implements various bootstrap resampling techniques tailored for survey data, with a focus on stratified simple random sampling and stratified two-stage cluster sampling. It provides tools for precise and consistent bootstrap variance estimation for population totals, means, and quartiles. Additionally, it enables easy generation of bootstrap samples for in-depth analysis.
License: GPL-3
Imports: MASS, stats
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-16 16:28:50 UTC; zeinabmashreghi
Author: Zeinab Mashreghi [aut, cre]
Maintainer: Zeinab Mashreghi <z.mashreghi@uwinnipeg.ca>
Repository: CRAN
Date/Publication: 2024-05-17 09:40:05 UTC

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New package bbnet with initial version 1.0
Package: bbnet
Title: Create Simple Predictive Models on Bayesian Belief Networks
Version: 1.0
Maintainer: Victoria Dominguez Almela <vda1r22@soton.ac.uk>
Description: A system to build, visualise and evaluate Bayesian belief networks. The methods are described in Stafford et al. (2015) <doi:10.12688/f1000research.5981.1>.
License: GPL (>= 2)
URL: https://github.com/vda1r22/bbnet
BugReports: https://github.com/vda1r22/bbnet/issues
Depends: R (>= 3.5.0), dplyr, ggplot2, grid, igraph, tibble
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-16 16:26:01 UTC; vda1r22
Author: Rick Stafford [cph, aut] , Victoria Dominguez Almela [cre, aut]
Repository: CRAN
Date/Publication: 2024-05-17 09:40:08 UTC

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Thu, 16 May 2024

New package SplitSplitPlot with initial version 0.0.1
Package: SplitSplitPlot
Title: Analysis of Split-Split-Plot Experiments (Analise De Experimentos Em Parcela Subsubdividida)
Version: 0.0.1
Description: Performs analysis of split-split plot experiments in both completely randomized and randomized complete block designs. With the results, you can obtain ANOVA, mean tests, and regression analysis (Este pacote faz a analise de experimentos em parcela subsubdivididas no delineamento inteiramente casualizado e delineamento em blocos casualizados. Com resultados e possível obter a ANOVA, testes de medias e análise de regressao) <https://www.expstat.com/pacotes-do-r>.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-15 20:18:16 UTC; AlcineiAzevedo
Author: Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>
Repository: CRAN
Date/Publication: 2024-05-16 14:20:02 UTC

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New package SLSEdesign with initial version 0.0.1
Package: SLSEdesign
Title: Optimal Regression Design under the Second-Order Least Squares Estimator
Version: 0.0.1
Description: With given inputs that includes number of points, design space, measure skewness, models and parameter value, this package calculates the objective value, optimal designs and plot the equivalence theory under A- and D-optimal criteria under the second-order Least squares estimator. This package is based on the paper "Properties of optimal regression designs under the second-order least squares estimator" by Chi-Kuang Yeh and Julie Zhou (2021) <doi:10.1007/s00362-018-01076-6>.
License: GPL-3
Encoding: UTF-8
Imports: CVXR, tibble, pracma, graphics
Suggests: knitr, rmarkdown, gridExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-15 17:04:13 UTC; chikuang
Author: Chi-Kuang Yeh [aut, cre] , Julie Zhou [aut, ctb]
Maintainer: Chi-Kuang Yeh <chi-kuang.yeh@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2024-05-16 14:10:14 UTC

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New package skipTrack with initial version 0.1.0
Package: skipTrack
Title: A Bayesian Hierarchical Model that Controls for Non-Adherence in Mobile Menstrual Cycle Tracking
Version: 0.1.0
Description: Implements a Bayesian hierarchical model designed to identify skips in mobile menstrual cycle self-tracking on mobile apps. Future developments will allow for the inclusion of covariates affecting cycle mean and regularity, as well as extra information regarding tracking non-adherence. Main methods to be outlined in a forthcoming paper, with alternative models from Li et al. (2022) <doi:10.1093/jamia/ocab182>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/LukeDuttweiler/skipTrack
BugReports: https://github.com/LukeDuttweiler/skipTrack/issues
Imports: doParallel (>= 1.0.0), foreach (>= 1.5.0), genMCMCDiag (>= 0.2.0), ggplot2 (>= 3.4.0), ggtext (>= 0.1.0), glmnet (>= 4.1.0), gridExtra (>= 2.0), LaplacesDemon (>= 16.0.0), lifecycle, mvtnorm (>= 1.2.0), optimg (>= 0.1.2), parallel (>= 4.0.0), stats (>= 4.0.0), utils (>= 4.0.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-15 16:23:50 UTC; LukeDuttweiler
Author: Luke Duttweiler [aut, cre, cph]
Maintainer: Luke Duttweiler <lduttweiler@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2024-05-16 14:10:07 UTC

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New package SGPR with initial version 0.1.2
Package: SGPR
Title: Sparse Group Penalized Regression for Bi-Level Variable Selection
Version: 0.1.2
Description: Fits the regularization path of regression models (linear and logistic) with additively combined penalty terms. All possible combinations with Least Absolute Shrinkage and Selection Operator (LASSO), Smoothly Clipped Absolute Deviation (SCAD), Minimax Concave Penalty (MCP) and Exponential Penalty (EP) are supported. This includes Sparse Group LASSO (SGL), Sparse Group SCAD (SGS), Sparse Group MCP (SGM) and Sparse Group EP (SGE). For more information, see Buch, G., Schulz, A., Schmidtmann, I., Strauch, K., & Wild, P. S. (2024) <doi:10.1002/bimj.202200334>.
License: GPL (>= 3)
Imports: Rcpp
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-05-15 18:52:21 UTC; Mufasa
Author: Gregor Buch [aut, cre, cph], Andreas Schulz [ths], Irene Schmidtmann [ths], Konstantin Strauch [ths], Philipp Wild [ths]
Maintainer: Gregor Buch <buchgregor@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-16 14:20:05 UTC

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New package ProgModule with initial version 0.1.0
Package: ProgModule
Title: Identification of Prognosis-Related Mutually Exclusive Modules
Version: 0.1.0
Maintainer: Junwei Han <hanjunwei1981@163.com>
Description: A novel tool to identify candidate driver modules for predicting the prognosis of patients by integrating exclusive coverage of mutations with clinical characteristics in cancer.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.2.0)
Imports: igraph, infotheo, maftools, patchwork, pathwayTMB, stats, survival, survminer, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-16 01:00:53 UTC; 13599
Author: Junwei Han [aut, cre, cph], Xiangmei Li [aut], Bingyue Pan [aut]
Repository: CRAN
Date/Publication: 2024-05-16 14:40:05 UTC

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New package GIMMEgVAR with initial version 0.1.0
Package: GIMMEgVAR
Title: Group Iterative Multiple Model Estimation with 'graphicalVAR'
Version: 0.1.0
Imports: graphicalVAR, here, qgraph, png
Description: Data-driven approach for arriving at person-specific time series models from within a Graphical Vector Autoregression (VAR) framework. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. All estimates are obtained uniquely for each individual in the final models. The method for the 'graphicalVAR' approach is found in Epskamp, Waldorp, Mottus & Borsboom (2018) <doi:10.1080/00273171.2018.1454823>.
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2024-05-15 15:51:13 UTC; wsandra
Author: Sandra Williams Lee [aut, cre], Kathleen M. Gates [aut]
Maintainer: Sandra Williams Lee <wsandra@live.unc.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-05-16 14:10:17 UTC

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New package estimators with initial version 0.8.5
Package: estimators
Title: Parameter Estimation
Version: 0.8.5
Description: Implements estimation methods for parameters of common distribution families. The common d, p, q, r function family for each distribution is enriched with the ll, e, and v counterparts, computing the log-likelihood, performing estimation, and calculating the asymptotic variance - covariance matrix, respectively. Parameter estimation is performed analytically whenever possible.
License: GPL (>= 3)
URL: https://thechibo.github.io/estimators/
BugReports: https://github.com/thechibo/estimators/issues
Depends: R (>= 4.0.0)
Imports: extraDistr, ggh4x, ggplot2, grDevices, Matrix, methods, progress, stats, utils
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-05-08 13:59:18 UTC; Chibo
Author: Ioannis Oikonomidis [aut, cre] , Samis Trevezas [aut, ths]
Maintainer: Ioannis Oikonomidis <goikon@math.uoa.gr>
Repository: CRAN
Date/Publication: 2024-05-16 15:00:10 UTC

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New package ClusTCR2 with initial version 1.7.3.01
Package: ClusTCR2
Title: Identifying Similar T Cell Receptor Hyper-Variable Sequences with 'ClusTCR2'
Version: 1.7.3.01
Date: 2024-05-15
Author: Kerry A. Mullan [aut, cre], Sebastiaan Valkiers [aut, ctb], Kris Laukens [aut, ctb], Pieter Meysman [aut, ctb]
Description: Enhancing T cell receptor (TCR) sequence analysis, 'ClusTCR2', based on 'ClusTCR' python program, leverages Hamming distance to compare the complement-determining region three (CDR3) sequences for sequence similarity, variable gene (V gene) and length. The second step employs the Markov Cluster Algorithm to identify clusters within an undirected graph, providing a summary of amino acid motifs and matrix for generating network plots. Tailored for single-cell RNA-seq data with integrated TCR-seq information, 'ClusTCR2' is integrated into the Single Cell TCR and Expression Grouped Ontologies (STEGO) R application or 'STEGO.R'. See the two publications for more details. Sebastiaan Valkiers, Max Van Houcke, Kris Laukens, Pieter Meysman (2021) <doi:10.1093/bioinformatics/btab446>, Kerry A. Mullan, My Ha, Sebastiaan Valkiers, Nicky de Vrij, Benson Ogunjimi, Kris Laukens, Pieter Meysman (2023) <doi:10.1101/2023.09.27.559702>.
Maintainer: Kerry A. Mullan <Kerry.Mullan@uantwerpen.be>
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: DescTools, ggplot2, ggseqlogo, network, plyr, RColorBrewer, stringr, scales, sna, VLF
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-15 16:22:16 UTC; kerrymullan
Repository: CRAN
Date/Publication: 2024-05-16 15:00:19 UTC

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New package clarkeTest with initial version 0.2.0
Package: clarkeTest
Title: Distribution-Free Tests of Non-Nested Models
Version: 0.2.0
Description: Implementation of Clarke's distribution-free test of non-nested models. Currently supported model functions are: lm(), glm() ('binomial', 'poisson', 'negative binomial' links), polr() ('MASS'), clm() ('ordinal'), and multinom() ('nnet'). For more information on the test, see Clarke (2007) <doi:10.1093/pan/mpm004>.
Depends: R (>= 3.5.0)
Suggests: MASS, ordinal, nnet
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-15 14:36:29 UTC; david
Author: Dave Armstrong [aut, cre], Brenton Kenkel [aut]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-16 14:40:02 UTC

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New package CDGHMM with initial version 0.1.0
Package: CDGHMM
Title: Hidden Markov Models for Multivariate Panel Data
Version: 0.1.0
Date: 2024-05-13
Maintainer: Mackenzie R. Neal <nealm6@mcmaster.ca>
Description: Estimates hidden Markov models from the family of Cholesky-decomposed Gaussian hidden Markov models (CDGHMM) under various missingness schemes. This family improves upon estimation of traditional Gaussian HMMs by directly modelling the distinct correlation structures that arise from longitudinal data, as well as, controlling for dropped out observations and non-random missingness. See Neal, Sochaniwsky and McNicholas (2024) <DOI:10.48550/arXiv.2404.04122>.
License: GPL (>= 2)
Imports: MASS, mvtnorm, ramify, cluster
Encoding: UTF-8
NeedsCompilation: no
Repository: CRAN
Packaged: 2024-05-15 16:47:16 UTC; mackenzieneal
Author: Mackenzie R. Neal [aut, cre] , Alexa A. Sochaniwsky [aut], Paul D. McNicholas [aut]
Depends: R (>= 3.5.0)
Date/Publication: 2024-05-16 14:10:20 UTC

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New package BioM2 with initial version 1.0.6
Package: BioM2
Title: Biologically Explainable Machine Learning Framework
Version: 1.0.6
Author: Shunjie Zhang and Junfang Chen
Maintainer: Shunjie Zhang <zhang.shunjie@qq.com>
Description: Biologically Explainable Machine Learning Framework for Phenotype Prediction using omics data described in Chen and Schwarz (2017) <doi:10.48550/arXiv.1712.00336>.Identifying reproducible and interpretable biological patterns from high-dimensional omics data is a critical factor in understanding the risk mechanism of complex disease. As such, explainable machine learning can offer biological insight in addition to personalized risk scoring.In this process, a feature space of biological pathways will be generated, and the feature space can also be subsequently analyzed using WGCNA (Described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559> ) methods.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: WGCNA, mlr3, CMplot, ggsci, ROCR, caret, ggplot2, ggpubr, viridis, ggthemes, ggstatsplot, htmlwidgets, jiebaR, mlr3verse, parallel, uwot, webshot, wordcloud2,ggforce, igraph, ggnetwork
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-16 08:49:00 UTC; Shedom
Repository: CRAN
Date/Publication: 2024-05-16 10:00:02 UTC

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New package optiscale with initial version 1.2.3
Package: optiscale
Title: Optimal Scaling
Version: 1.2.3
Date: 2024-05-15
Description: Optimal scaling of a data vector, relative to a set of targets, is obtained through a least-squares transformation subject to appropriate measurement constraints. The targets are usually predicted values from a statistical model. If the data are nominal level, then the transformation must be identity-preserving. If the data are ordinal level, then the transformation must be monotonic. If the data are discrete, then tied data values must remain tied in the optimal transformation. If the data are continuous, then tied data values can be untied in the optimal transformation.
License: GPL-2
Depends: lattice
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-05-15 18:04:19 UTC; david
Author: Dave Armstrong [aut, cre], William Jacoby [aut]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-16 07:30:03 UTC

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Wed, 15 May 2024

New package xxdi with initial version 0.0.1
Package: xxdi
Title: Calculate Expertise Indices
Version: 0.0.1
Maintainer: Nilabhra Rohan Das <nr.das@yahoo.com>
Description: Institutional performance assessment remains a key challenge to a multitude of stakeholders. Existing indicators such as h-type indicators, g-type indicators, and many others do not reflect expertise of institutions that defines their research portfolio. The package offers functionality to compute two novel indices: the x-index and the xd-index. The x-index evaluates an institution's scholarly expertise within a specific discipline or field, while the xd-index provides a broader assessment of overall scholarly expertise considering an institution's publication pattern and strengths across coarse thematic areas. These indices offer a nuanced understanding of institutional research capabilities, aiding stakeholders in research management and resource allocation decisions. Lathabai, H.H., Nandy, A., and Singh, V.K. (2021) <doi:10.1007/s11192-021-04188-3>. Nandy, A., Lathabai, H.H., and Singh, V.K. (2023) <doi:10.5281/zenodo.8305585>.
License: GPL-3
Depends: R (>= 4.3.3.0)
Imports: agop (>= 0.2.4), Matrix (>= 1.6.1.1), tidyr (>= 1.3.1), stats (>= 4.3.3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-15 14:57:20 UTC; titas
Author: Nilabhra Rohan Das [cre, aut], Abhirup Nandy [aut]
Repository: CRAN
Date/Publication: 2024-05-15 20:40:02 UTC

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New package tstests with initial version 1.0.0
Package: tstests
Title: Time Series Goodness of Fit and Forecast Evaluation Tests
Version: 1.0.0
Maintainer: Alexios Galanos <alexios@4dscape.com>
Depends: R (>= 3.5.0), methods, tsmethods
Description: Goodness of Fit and Forecast Evaluation Tests for timeseries models. Includes, among others, the Generalized Method of Moments (GMM) Orthogonality Test of Hansen (1982), the Nyblom (1989) parameter constancy test, the sign-bias test of Engle and Ng (1993), and a range of tests for value at risk and expected shortfall evaluation.
Imports: data.table, flextable, Rdpack, car, ks, xts
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://www.nopredict.com/packages/tstests, https://github.com/tsmodels/tstests
Suggests: knitr, rmarkdown, sandwich, testthat (>= 3.0.0), tsdistributions, tsgarch
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-15 09:28:14 UTC; alexios
Author: Alexios Galanos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-05-15 20:20:02 UTC

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New package burgle with initial version 0.1.0
Package: burgle
Title: 'Burgle': Stealing the Necessary Parts of Model Objects
Version: 0.1.0
Maintainer: Paul R. Gunsalus <gunsalp@ccf.org>
Description: Provides a way to reduce model objects to necessary parts, making them easier to work with, store, share and simulate multiple values for new responses while allowing for parameter uncertainty.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, MASS, survival, riskRegression
Suggests: flexsurv
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2024-05-15 14:22:29 UTC; gunsalp
Author: Paul R. Gunsalus [aut, cre] , Jarrod E. Dalton [aut]
Repository: CRAN
Date/Publication: 2024-05-15 20:40:13 UTC

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New package AQuality with initial version 1.0
Package: AQuality
Title: Water and Measurements Quality
Version: 1.0
Date: 2024-05-07
Author: Maela Lupo [aut, cre], Andrea Porpatto [aut], Alfredo Rigalli [aut]
Maintainer: Maela Lupo <maela.lupo@gmail.com>
Description: The function proposed in this package allows to graphically evaluate the process of measurement of the chemical components of water. The TSSS() function is useful to control the quality of measurements of chemical components of a sample of water. If one or more measurements include an error, the generated graph will indicate it with a position of the point that represents the sample outside the confidence interval.
License: GPL-2
NeedsCompilation: no
Packaged: 2024-05-15 09:55:15 UTC; alfredo
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-05-15 20:30:06 UTC

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New package srcpkgs with initial version 0.1
Package: srcpkgs
Title: R Source Packages Manager
Version: 0.1
Description: Manage a collection/library of R source packages. Discover, document, load, test source packages. Enable to use those packages as if they were actually installed. Quickly reload only what is needed on source code change. Run tests and checks in parallel.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/kforner/srcpkgs
BugReports: https://github.com/kforner/srcpkgs/issues
Imports: cli, devtools, pkgload
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-14 17:51:19 UTC; karl
Author: Karl Forner [aut, cre, cph]
Maintainer: Karl Forner <karl.forner@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-15 19:50:02 UTC

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New package LTCDM with initial version 1.0.0
Package: LTCDM
Title: Latent Transition Cognitive Diagnosis Model with Covariates
Version: 1.0.0
Description: Implementation of the three-step approach of latent transition cognitive diagnosis model (CDM) with covariates. This approach can be used to assess changes in attribute mastery status and to evaluate the covariate effects on both the initial states and transition probabilities over time using latent logistic regression. Because stepwise approaches often yield biased estimates, correction for classification error probabilities (CEPs) is considered in this approach. The three-step approach for latent transition CDM with covariates involves the following steps: (1) fitting a CDM to the response data without covariates at each time point separately, (2) assigning examinees to latent states at each time point and computing the associated CEPs, and (3) estimating the latent transition CDM with the known CEPs and computing the regression coefficients. The method was proposed in Liang et al. (2023) <doi:10.3102/10769986231163320> and demonstrated using mental health data in Liang et al. [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: GDINA,ggplot2, ggpubr, ggsignif
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-15 03:19:24 UTC; 33406
Author: Qianru Liang [aut, cre, cph] , Jimmy de la Torre [aut] , Jingping Du [ctb]
Maintainer: Qianru Liang <liangqr@jnu.edu.cn>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-05-15 20:00:02 UTC

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New package misuvi with initial version 0.1.0
Package: misuvi
Title: Access the Michigan Substance Use Vulnerability Index (MI-SUVI)
Version: 0.1.0
Maintainer: Brenden Smith <brendensmithmi@gmail.com>
Description: Easily import the MI-SUVI data sets. The user can import data sets with full metrics, percentiles, Z-scores, or rankings. Data is available at both the County and Zip Code Tabulation Area (ZCTA) levels. This package also includes a function to import shape files for easy mapping and a function to access the full technical documentation. All data is sourced from (<https://www.michigan.gov/opioids/category-data>).
License: CC0
URL: https://github.com/brendensm/misuvi
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: curl, sf, tigris
NeedsCompilation: no
Packaged: 2024-05-14 22:25:40 UTC; b
Author: Brenden Smith [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-05-15 16:00:02 UTC

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New package mlelod with initial version 1.0.0.1
Package: mlelod
Title: MLE for Normally Distributed Data Censored by Limit of Detection
Version: 1.0.0.1
Date: 2024-05-14
Description: Values below the limit of detection (LOD) are a problem in several fields of science, and there are numerous approaches for replacing the missing data. We present a new mathematical solution for maximum likelihood estimation that allows us to estimate the true values of the mean and standard deviation for normal distributions and is significantly faster than previous implementations. The article with the details was submitted to JSS and can be currently seen on <https://www2.arnes.si/~tverbo/LOD/Verbovsek_Sega_2_Manuscript.pdf>.
Author: Gregor Sega [aut, cre]
Maintainer: Gregor Sega <gregor.sega@fmf.uni-lj.si>
License: GPL-2
NeedsCompilation: no
Packaged: 2024-05-14 16:12:17 UTC; grego
Repository: CRAN
Date/Publication: 2024-05-15 15:10:02 UTC

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New package UCSCXenaShiny with initial version 2.1.0
Package: UCSCXenaShiny
Title: Interactive Analysis of UCSC Xena Data
Version: 2.1.0
Maintainer: Shixiang Wang <w_shixiang@163.com>
Description: Provides functions and a Shiny application for downloading, analyzing and visualizing datasets from UCSC Xena (<http://xena.ucsc.edu/>), which is a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others.
License: GPL (>= 3)
URL: https://github.com/openbiox/UCSCXenaShiny, https://openbiox.github.io/UCSCXenaShiny/
BugReports: https://github.com/openbiox/UCSCXenaShiny/issues
Depends: R (>= 3.5)
Imports: digest, dplyr (>= 0.8.3), ezcox, forcats, ggplot2 (>= 3.2.0), ggpubr (>= 0.2), httr, magrittr (>= 1.5), ppcor, psych, purrr, rlang, shiny (>= 1.3.2), stats, stringr, tibble (>= 2.1.3), tidyr, UCSCXenaTools, utils
Suggests: covr (>= 3.2.1), cowplot, DT (>= 0.5), furrr, future, ggrepel, ggstatsplot, knitr, pacman, plotly, plyr, RColorBrewer (>= 1.1.2), rmarkdown, Rtsne, scales, survival, survminer, testthat (>= 2.0.1), umap,
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-14 16:53:54 UTC; wsx
Author: Shixiang Wang [aut, cre] , Shensuo Li [aut], Yi Xiong [aut] , Longfei Zhao [aut] , Kai Gu [aut] , Yin Li [aut], Fei Zhao [aut]
Repository: CRAN
Date/Publication: 2024-05-15 14:10:06 UTC

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New package tricolore with initial version 1.2.4
Package: tricolore
Title: A Flexible Color Scale for Ternary Compositions
Version: 1.2.4
Description: Compositional data consisting of three-parts can be color mapped with a ternary color scale. Such a scale is provided by the tricolore packages with options for discrete and continuous colors, mean-centering and scaling. See Jonas Schöley (2021) "The centered ternary balance scheme. A technique to visualize surfaces of unbalanced three-part compositions" <doi:10.4054/DemRes.2021.44.19>, Jonas Schöley, Frans Willekens (2017) "Visualizing compositional data on the Lexis surface" <doi:10.4054/DemRes.2017.36.21>, and Ilya Kashnitsky, Jonas Schöley (2018) "Regional population structures at a glance" <doi:10.1016/S0140-6736(18)31194-2>.
License: GPL-3
URL: https://github.com/jschoeley/tricolore
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: grDevices, ggplot2 (>= 3.4.0), ggtern (>= 3.4.0), rlang (>= 1.1.0), shiny, assertthat
Suggests: testthat, knitr, rmarkdown, sf, leaflet, httpuv, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-14 13:32:29 UTC; jon
Author: Jonas Schoeley [aut, cre] , Ilya Kashnitsky [aut]
Maintainer: Jonas Schoeley <jschoeley@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-15 15:00:02 UTC

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New package biologicalActivityIndices with initial version 0.1.0
Package: biologicalActivityIndices
Title: Biological Activity Indices
Version: 0.1.0
Maintainer: Tanuj Misra <tanujmisra102@gmail.com>
Description: Ecological alteration of degraded lands can improve their sustainability by addition of large amount of biomass to soil resulting in improved soil health. Soil biological parameters (such as carbon, nitrogen and phosphorus cycling enzyme activity) are reactive to minute variations in soils [Ghosh et al. (2021) <doi:10.1016/j.ecoleng.2021.106176> ]. Hence, biological activity index combining Urease, Alkaline Phosphatase, Dehydrogenase (DHA) & Beta-Glucosidase activity will assist in detecting early changes in restored land use systems [Patidar et al. (2023) <doi:10.3389/fsufs.2023.1230156>]. This package helps to calculate Biological Activity Index (BAI) based on vectors of Land Use System/treatment and control/reference Land Use System containing four values of Urease, Alkaline Phosphatase, DHA & Beta-Glucosidase. (DHA), urease (URE), fluorescein diacetate hydrolysis (FDA) and alkaline phosphatase (ALP) activities are measured in soil samples using triphenyl tetrazo [...truncated...]
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-14 10:08:36 UTC; LENOVO
Author: Avijit Ghosh [aut], Tanuj Misra [aut, cre], Amit Kumar Singh [aut], Arun Shukla [aut], Saurav Singla [aut]
Repository: CRAN
Date/Publication: 2024-05-15 14:40:02 UTC

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New package arcgisplaces with initial version 0.1.0
Package: arcgisplaces
Title: Search for POIs using ArcGIS 'Places Service'
Version: 0.1.0
Description: The ArcGIS 'Places service' is a ready-to-use location service that can search for businesses and geographic locations around the world. It allows you to find, locate, and discover detailed information about each place. Query for places near a point, within a bounding box, filter based on categories, or provide search text. 'arcgisplaces' integrates with 'sf' for out of the box compatibility with other spatial libraries. Learn more in the 'Places service' API reference <https://developers.arcgis.com/rest/places/>.
License: Apache License (>= 2)
Encoding: UTF-8
Language: en
Imports: arcgisutils (>= 0.3.0), cli, httr2 (>= 1.0.0), rlang, wk
SystemRequirements: Cargo (Rust's package manager), rustc, OpenSSL
Suggests: sf
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-05-14 14:08:01 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-15 15:00:05 UTC

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New package MBBEFDLite with initial version 0.0.1
Package: MBBEFDLite
Title: Statistical Functions for the Maxwell-Boltzmann-Bose-Einstein-Fermi-Dirac (MBBEFD) Family of Distributions
Version: 0.0.1
Description: Provides probability mass, distribution, quantile, random variate generation, and method-of-moments parameter fitting for the MBBEFD family of distributions used in insurance modeling as described in Bernegger (1997) <doi:10.2143/AST.27.1.563208> without any external dependencies.
License: MPL-2.0
Encoding: UTF-8
Imports: stats
Suggests: tinytest, covr
URL: https://github.com/aadler/MBBEFDLite
BugReports: https://github.com/aadler/MBBEFDLite/issues
ByteCompile: yes
NeedsCompilation: yes
UseLTO: yes
Packaged: 2024-05-14 04:21:46 UTC; Parents
Author: Avraham Adler [aut, cre, cph]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-15 11:50:18 UTC

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New package RRNA with initial version 1.1
Package: RRNA
Title: Secondary Structure Plotting for RNA
Version: 1.1
Date: 2024-04-24
Description: Functions for creating and manipulating RNA secondary structure plots.
License: GPL-3
NeedsCompilation: no
Packaged: 2024-04-24 15:48:13 UTC; jp
Author: JP Bida [aut], Jonathan Price [cre, ctb]
Maintainer: Jonathan Price <jlp76@cam.ac.uk>
Repository: CRAN
Date/Publication: 2024-05-15 08:10:09 UTC

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New package MixAll with initial version 1.5.16
Package: MixAll
Encoding: UTF-8
Version: 1.5.16
Date: 2024-04-26
Title: Clustering and Classification using Model-Based Mixture Models
Author: Serge Iovleff [aut, cre], Parmeet Bathia [ctb]
Maintainer: Serge Iovleff <Serge.Iovleff@stkpp.org>
Copyright: inria, University of Lille
Depends: R (>= 4.1.0), rtkore (>= 1.6.10)
Imports: methods
Description: Algorithms and methods for model-based clustering and classification. It supports various types of data: continuous, categorical and counting and can handle mixed data of these types. It can fit Gaussian (with diagonal covariance structure), gamma, categorical and Poisson models. The algorithms also support missing values.
License: GPL (>= 2)
LinkingTo: Rcpp, rtkore (>= 1.6.10)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-04-30 07:38:20 UTC; iovleff
Repository: CRAN
Date/Publication: 2024-05-15 08:20:02 UTC

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New package fastcmprsk with initial version 1.24.5
Package: fastcmprsk
Title: Fine-Gray Regression via Forward-Backward Scan
Version: 1.24.5
Author: Eric S. Kawaguchi
Maintainer: Eric S. Kawaguchi <ekawaguc@usc.edu>
Description: In competing risks regression, the proportional subdistribution hazards (PSH) model is popular for its direct assessment of covariate effects on the cumulative incidence function. This package allows for both penalized and unpenalized PSH regression in linear time using a novel forward-backward scan. Penalties include Ridge, Lease Absolute Shrinkage and Selection Operator (LASSO), Smoothly Clipped Absolute Deviation (SCAD), Minimax Concave Plus (MCP), and elastic net <doi: 10.32614/RJ-2021-010>.
Depends: R (>= 4.0.0)
Imports: dynpred, foreach, survival, Matrix, methods
Suggests: testthat, cmprsk
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-05-14 19:21:53 UTC; ekawaguc
Repository: CRAN
Date/Publication: 2024-05-15 08:50:14 UTC

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Tue, 14 May 2024

New package freesurfer with initial version 1.6.10
Package: freesurfer
Title: Wrapper Functions for 'Freesurfer'
Version: 1.6.10
Description: Wrapper functions that interface with 'Freesurfer' <https://surfer.nmr.mgh.harvard.edu/>, a powerful and commonly-used 'neuroimaging' software, using system commands. The goal is to be able to interface with 'Freesurfer' completely in R, where you pass R objects of class 'nifti', implemented by package 'oro.nifti', and the function executes an 'Freesurfer' command and returns an R object of class 'nifti' or necessary output.
LazyData: true
LazyLoad: true
Imports: methods, neurobase, tools, R.utils, reshape2, utils
Depends: R (>= 3.2.0)
License: GPL-3
Suggests: magrittr, knitr, oro.nifti (>= 0.7), rgl, rmarkdown, pander, fslr (>= 2.9.2)
BugReports: https://github.com/muschellij2/freesurfer/issues
SystemRequirements: FSL, Freesurfer (https://surfer.nmr.mgh.harvard.edu/)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-13 16:40:35 UTC; johnmuschelli
Author: John Muschelli [aut, cre] , Athanasia Mo Mowinckel [ctb]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-14 09:30:07 UTC

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New package CrossClustering with initial version 4.1.2
Package: CrossClustering
Title: A Partial Clustering Algorithm
Version: 4.1.2
Date: 2024-05-01
Maintainer: Paola Tellaroli <paola.tellaroli@gmail.com>
Description: Provide the 'CrossClustering' algorithm (Tellaroli et al. (2016) <doi:10.1371/journal.pone.0152333>), which is a partial clustering algorithm that combines the Ward's minimum variance and Complete Linkage algorithms, providing automatic estimation of a suitable number of clusters and identification of outlier elements.
License: GPL-3
URL: https://CRAN.R-project.org/package=CrossClustering
BugReports: https://github.com/CorradoLanera/CrossClustering/issues
Depends: R (>= 4.1)
Imports: checkmate, cli, cluster, crayon, dplyr, flip, mclust, purrr, utils
Suggests: covr, devtools, lintr, roxygen2, spelling, testthat, usethis
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2024-05-13 15:43:56 UTC; corra
Author: Paola Tellaroli [cre, aut], Marco Bazzi [aut], Michele Donato [aut], Livio Finos [aut], Philippe Courcoux [aut], Corrado Lanera [aut]
Repository: CRAN
Date/Publication: 2024-05-14 09:30:19 UTC

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New package cpp11armadillo with initial version 0.2.5
Package: cpp11armadillo
Title: An 'Armadillo' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Armadillo' 'C++' library for linear algebra and scientific computing.
Version: 0.2.5
Suggests: cpp11, desc, knitr, mockery, rmarkdown, testthat (>= 3.0.0), withr
Depends: R(>= 3.5.0)
License: Apache License (>= 2)
BugReports: https://github.com/pachadotdev/cpp11armadillo/issues
URL: https://pacha.dev/cpp11armadillo/, https://github.com/pachadotdev/cpp11armadillo
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-13 18:11:28 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-05-14 09:30:13 UTC

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New package rvisidata with initial version 1.0.0
Package: rvisidata
Title: Wrapper for 'Visidata', an Interactive Multitool for Tabular Data
Version: 1.0.0
Description: Open any data frame with 'visidata', a terminal-based spreadsheet application <https://www.visidata.org>.
License: MIT + file LICENSE
SystemRequirements: visidata (>= 1.0)
URL: https://github.com/paulklemm/rvisidata
BugReports: https://github.com/paulklemm/rvisidata/issues
Encoding: UTF-8
Suggests: jsonlite, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-13 09:18:28 UTC; root
Author: Paul Klemm [aut, cre, cph] , Saul Pwanson [aut], Matthew Mark Strasiotto [ctb]
Maintainer: Paul Klemm <paul.klemm@posteo.net>
Repository: CRAN
Date/Publication: 2024-05-14 08:10:02 UTC

More information about rvisidata at CRAN
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New package rechaRge with initial version 1.0.0
Package: rechaRge
Title: HydroBudget – Groundwater Recharge Model
Version: 1.0.0
Description: HydroBudget is a spatially distributed groundwater recharge model that computes a superficial water budget on grid cells with outputs aggregated into monthly time steps. It was developed as an accessible and computationally affordable model to simulate groundwater recharge over large areas (thousands of km2, regional-scale watersheds) and for long time periods (decades), in cold and humid climates. Model algorithms are based on the research of Dubois, E. et al. (2021a) <doi:10.5683/SP3/EUDV3H> and Dubois, E. et al. (2021b) <doi:10.5194/hess-25-6567-2021>.
Depends: R (>= 4.0)
Imports: airGR, data.table, future, doFuture, foreach, hydrostats, lubridate, ncdf4, plyr, progressr, raster, stats, sp, zoo, R.utils
Suggests: testthat (>= 3.0.0), curl
URL: https://github.com/gwrecharge/rechaRge/, https://gwrecharge.github.io/rechaRge-book/
BugReports: https://github.com/gwrecharge/rechaRge/issues/
License: CC BY 4.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-13 14:47:40 UTC; ymarcon
Author: Yannick Marcon [cre, ctb] , Emmanuel Dubois [aut, cph]
Maintainer: Yannick Marcon <yannick.marcon@epfl.ch>
Repository: CRAN
Date/Publication: 2024-05-14 08:20:02 UTC

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New package GDILM.SIR with initial version 0.1.0
Package: GDILM.SIR
Title: Inference for Infectious Disease Transmission in SIR Framework
Version: 0.1.0
Description: Model and estimate the model parameters for the spatial model of individual-level infectious disease transmission in Susceptible-Infected-Recovered (SIR) framework.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: mvtnorm, psych, stats,MASS,maxLik,Matrix
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-05-13 13:58:07 UTC; ruwan
Author: Ruwani Herath [aut, cre], Leila Amiri [ctb], Mahmoud Torabi [ctb]
Maintainer: Ruwani Herath <ruwanirasanjalih@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-14 08:23:27 UTC

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New package doofa with initial version 1.0
Package: doofa
Version: 1.0
Date: 2024-05-13
Title: Designs for Order-of-Addition Experiments
Author: Baidya Nath Mandal [aut, cre], Rajender Parsad [aut], Sukanta Dash [aut]
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>
Depends: R (>= 4.4.0)
Imports: lpSolve, combinat
Description: A facility to generate efficient designs for order-of-additions experiments under pair-wise-order model, see Dennis K. J. Lin and Jiayu Peng (2019)."Order-of-addition experiments: A review and some new thoughts". Quality Engineering, 31:1, 49-59, <doi:10.1080/08982112.2018.1548021>. It also provides a facility to generate component orthogonal arrays under component position model, see Jian-Feng Yang, Fasheng Sun & Hongquan Xu (2020): "A Component Position Model, Analysis and Design for Order-of-Addition Experiments". Technometrics, <doi:10.1080/00401706.2020.1764394>.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-13 08:31:57 UTC; user17
Repository: CRAN
Date/Publication: 2024-05-14 08:23:19 UTC

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New package rKolada with initial version 0.2.3
Package: rKolada
Title: Access Data from the 'Kolada' Database
Version: 0.2.3
Maintainer: Love Hansson <love.hansson@gmail.com>
Description: Methods for downloading and processing data and metadata from 'Kolada', the official Swedish regions and municipalities database <https://www.kolada.se/>.
License: AGPL-3
URL: https://lchansson.github.io/rKolada/, https://github.com/lchansson/rKolada
BugReports: https://github.com/lchansson/rKolada/issues
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown, stringi, ggplot2, scales, progress
Imports: tibble, dplyr, glue, stringr, httr, jsonlite, magrittr, tidyr, purrr, rlang, urltools
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2024-05-12 13:07:36 UTC; lchansson
Author: Love Hansson [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-05-14 07:30:05 UTC

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New package RcppLbfgsBlaze with initial version 0.1.0
Package: RcppLbfgsBlaze
Title: 'L-BFGS' Algorithm Based on 'Blaze' for 'R' and 'Rcpp'
Version: 0.1.0
Date: 2024-05-01
Maintainer: Ching-Chuan Chen <zw12356@gmail.com>
URL: https://github.com/ChingChuan-Chen/RcppLbfgsBlaze, https://github.com/ChingChuan-Chen/LBFGS-blaze, https://github.com/ZJU-FAST-Lab/LBFGS-Lite, https://bitbucket.org/blaze-lib/blaze/src/master/
BugReports: https://github.com/Chingchuan-chen/RcppLbfgsBlaze/issues
Description: The 'L-BFGS' algorithm is a popular optimization algorithm for unconstrained optimization problems. 'Blaze' is a high-performance 'C++' math library for dense and sparse arithmetic. This package provides a simple interface to the 'L-BFGS' algorithm and allows users to optimize their objective functions with 'Blaze' vectors and matrices in 'R' and 'Rcpp'.
Depends: R (>= 4.2.0)
Imports: Rcpp (>= 1.0.0), RcppBlaze (>= 1.0.0)
LinkingTo: Rcpp, RcppBlaze
Suggests: tinytest, microbenchmark
LazyLoad: yes
Encoding: UTF-8
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2024-05-03 09:20:00 UTC; root
Author: Ching-Chuan Chen [aut, cre, ctr] , Zhepei Wang [aut] , Naoaki Okazaki [aut]
Repository: CRAN
Date/Publication: 2024-05-14 07:43:20 UTC

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New package raybevel with initial version 0.1.3
Package: raybevel
Title: Generates Polygon Straight Skeletons and 3D Bevels
Version: 0.1.3
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Description: Generates polygon straight skeletons and 3D models. Provides functions to create and visualize interior polygon offsets, 3D beveled polygons, and 3D roof models.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.2)
Imports: progress, digest, decido, rayvertex (>= 0.10.4), sf, grid
LinkingTo: Rcpp, BH, RcppCGAL (>= 5.6.3), progress, RcppThread (>= 2.1.6)
Suggests: spData, rayrender, testthat (>= 3.0.0), ggplot2, png
URL: https://www.raybevel.com, https://github.com/tylermorganwall/raybevel/
BugReports: https://github.com/tylermorganwall/raybevel/issues
NeedsCompilation: yes
Packaged: 2024-05-11 22:41:31 UTC; tyler
Author: Tyler Morgan-Wall [aut, cph, cre]
Repository: CRAN
Date/Publication: 2024-05-14 07:30:02 UTC

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New package mddmaps with initial version 1.3.0
Package: mddmaps
Title: Download World Mammal Maps
Version: 1.3.0
Description: Lightweight maps of mammals of the world. These maps are a comprehensive collection of maps aligned with the Mammal Diversity Database taxonomy of the American Society of Mammalogists. They are generated at low resolution for easy access, consultation and manipulation in shapefile format. The package connects to a binary backup hosted in the Digital Ocean cloud service and allows individual or batch download of any mammal species in the mdd taxonomy by providing the scientific species name.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: httr, progress, readr, stringr, terra, utils
URL: <https://github.com/alrobles/mddmaps>, <https://alrobles.github.io/mddmaps/> <https://zenodo.org/records/10974868>, https://alrobles.github.io/mddmaps/
BugReports: https://github.com/alrobles/mdd/issues
NeedsCompilation: no
Packaged: 2024-05-12 06:30:35 UTC; alroble8
Author: Angel Robles [aut, cre]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-14 07:53:07 UTC

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New package LMoFit with initial version 0.1.7
Package: LMoFit
Title: Advanced L-Moment Fitting of Distributions
Version: 0.1.7
Description: A complete framework for frequency analysis is provided by 'LMoFit'. It has functions related to the determination of sample L-moments as in Hosking, J.R.M. (1990) <doi:10.1111/j.2517-6161.1990.tb01775.x>, the fitting of various distributions as in Zaghloul et al. (2020) <doi:10.1016/j.advwatres.2020.103720> and Hosking, J.R.M. (2019) <https://CRAN.R-project.org/package=lmom>, besides plotting and manipulating L-space diagrams as in Papalexiou, S.M. & Koutsoyiannis, D. (2016) <doi:10.1016/j.advwatres.2016.05.005> for two-shape parametric distributions on the L-moment ratio diagram. Additionally, the quantile, probability density, and cumulative probability functions of various distributions are provided in a user-friendly manner.
Maintainer: Mohanad Zaghloul <mohanad.zaghloul@usask.ca>
Depends: R (>= 3.3)
Imports: lmom, pracma, stats, ggplot2, sf, utils
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-05-13 14:33:32 UTC; Mohanad Zaghloul
Author: Mohanad Zaghloul [aut, cre], Simon Michael Papalexiou [aut, ths], Amin Elshorbagy [aut, ths]
Repository: CRAN
Date/Publication: 2024-05-14 07:33:23 UTC

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New package clickableImageMap with initial version 1.0
Package: clickableImageMap
Version: 1.0
Date: 2024-05-08
Title: Implement 'tableGrob' Object as a Clickable Image Map
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
LazyData: true
Imports: gridExtra, ggplotify, grid, ggplot2, stats, gtable, grDevices
Description: Implement 'tableGrob' object as a clickable image map. The 'clickableImageMap' package is designed to be more convenient and more configurable than the edit() function. Limitations that I have encountered with edit() are cannot control (1) positioning (2) size (3) appearance and formatting of fonts In contrast, when the table is implemented as a 'tableGrob', all of these features are controllable. In particular, the 'ggplot2' grid system allows exact positioning of the table relative to other graphics etc.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-05-11 15:32:05 UTC; barryzeeberg
Repository: CRAN
Date/Publication: 2024-05-14 07:43:17 UTC

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New package CensMFM with initial version 3.1
Package: CensMFM
Title: Finite Mixture of Multivariate Censored/Missing Data
Version: 3.1
Date: 2024-05-13
Imports: MomTrunc (>= 5.87), mvtnorm (>= 1.0.11), gridExtra, ggplot2, tlrmvnmvt (>= 1.1.0)
Suggests: mixsmsn
Description: It fits finite mixture models for censored or/and missing data using several multivariate distributions. Point estimation and asymptotic inference (via empirical information matrix) are offered as well as censored data generation. Pairwise scatter and contour plots can be generated. Possible multivariate distributions are the well-known normal, Student-t and skew-normal distributions. This package is an complement of Lachos, V. H., Moreno, E. J. L., Chen, K. & Cabral, C. R. B. (2017) <doi:10.1016/j.jmva.2017.05.005> for the multivariate skew-normal case.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-13 19:59:04 UTC; cgala
Author: Francisco H. C. de Alencar [aut, cre], Christian E. Galarza [aut], Larissa A. Matos [ctb], Victor H. Lachos [ctb]
Maintainer: Francisco H. C. de Alencar <hildemardealencar@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-14 07:33:36 UTC

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Mon, 13 May 2024

New package qlcVisualize with initial version 0.2.1
Package: qlcVisualize
Title: Visualization for Quantitative Language Comparison
Description: Collection of visualizations as used in quantitative language comparison. Currently implemented are visualisations dealing nominal data with multiple levels ("level-map" and "level-image"), and assistance for making dialectal Voronoi maps.
Version: 0.2.1
Date: 2024-05-08
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0), mapdata
Imports: fields, MASS, qlcMatrix, seriation, spatstat.geom, geodata, maps, mapplots, methods, sp, sf, alphahull, RSpectra, polyCub
NeedsCompilation: no
Packaged: 2024-05-11 10:22:55 UTC; cysouw
Author: Michael Cysouw [aut, cre]
Maintainer: Michael Cysouw <cysouw@mac.com>
Repository: CRAN
Date/Publication: 2024-05-13 11:40:02 UTC

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New package microdiluteR with initial version 1.0.1
Package: microdiluteR
Title: Analysis of Broth Microdilution Assays
Version: 1.0.1
Date: 2024-04-16
Description: A framework for analyzing broth microdilution assays in various 96-well plate designs, visualizing results and providing descriptive and (simple) inferential statistics (i.e. summary statistics and sign test). The functions are designed to add metadata to 8 x 12 tables of absorption values, creating a tidy data frame. Users can choose between clean-up procedures via function parameters (which covers most cases) or user prompts (in cases with complex experimental designs). Users can also choose between two validation methods, i.e. exclusion of absorbance values above a certain threshold or manual exclusion of samples. A function for visual inspection of samples with their absorption values over time for certain group combinations helps with the decision. In addition, the package includes functions to subtract the background absorption (usually at time T0) and to calculate the growth performance compared to a baseline. Samples can be visually inspected with their absorption values displa [...truncated...]
URL: https://silvia-eckert.github.io/microdiluteR/
BugReports: https://github.com/silvia-eckert/microdiluteR/issues
License: GPL (>= 3)
Depends: R (>= 4.3)
Imports: dplyr (>= 1.1.4), ggh4x (>= 0.2.8), ggplot2 (>= 3.5.0), ggthemes (>= 5.0.1), magrittr (>= 2.0.3), purrr (>= 1.0.2), rlang (>= 1.1.3), rstatix (>= 0.7.2), stringr (>= 1.5.1), tibble (>= 3.2.1), tools (>= 4.3.3), vctrs (>= 0.6.5)
Suggests: knitr (>= 1.4.6), rmarkdown (>= 2.26), testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-10 18:10:52 UTC; Silvia
Author: Silvia Eckert [aut, cre]
Maintainer: Silvia Eckert <seckert-dev@posteo.de>
Repository: CRAN
Date/Publication: 2024-05-13 11:23:25 UTC

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New package ggspark with initial version 0.0.2
Package: ggspark
Title: 'ggplot2' Functions to Create Tufte Style Sparklines
Version: 0.0.2
Date: 2024-05-09
Description: Functions to help with creating sparklines in the style of Edward Tufte <https://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001OR&topic_id=1> in 'ggplot2'. It computes ribbon geoms with the interquartile ranges and points and/or labels at the beginning, end, max, and min points.
License: GPL (>= 2)
Suggests: tinytest, tinysnapshot, rsvg, svglite, ggrepel, fontquiver
Imports: ggplot2
Encoding: UTF-8
Language: en-GB
URL: https://github.com/marcboschmatas/ggspark
BugReports: https://github.com/marcboschmatas/ggspark/issues
NeedsCompilation: no
Packaged: 2024-05-11 12:44:22 UTC; marc
Author: Marc Bosch Matas [aut, cre, cph]
Maintainer: Marc Bosch Matas <mboschmatas@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-13 11:43:12 UTC

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New package fastkqr with initial version 1.0.0
Package: fastkqr
Title: A Fast Algorithm for Kernel Quantile Regression
Version: 1.0.0
Date: 2024-05-07
Maintainer: Qian Tang <qian-tang@uiowa.edu>
Description: An efficient algorithm to fit and tune kernel quantile regression models based on the majorization-minimization (MM) method. It can also fit multiple quantile curves simultaneously without crossing.
Depends: R (>= 3.5.0), methods
Imports: graphics, grDevices, stats, utils, dotCall64, rlang, MASS, Matrix
License: GPL-2
NeedsCompilation: yes
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2024-05-10 15:33:37 UTC; qtang7
Author: Qian Tang [aut, cre], Yuwen Gu [aut], Boxiang Wang [aut]
Repository: CRAN
Date/Publication: 2024-05-13 11:13:15 UTC

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New package eider with initial version 1.0.0
Package: eider
Title: Declarative Feature Extraction from Tabular Data Records
Version: 1.0.0
Description: Extract features from tabular data in a declarative fashion, with a focus on processing medical records. Features are specified as JSON and are independently processed before being joined. Input data can be provided as CSV files or as data frames. This setup ensures that data is transformed in a modular and reproducible manner, and allows the same pipeline to be easily applied to new data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, lubridate, stringr, magrittr, jsonlite, logger, purrr, fs, tibble, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
URL: https://github.com/alan-turing-institute/eider
BugReports: https://github.com/alan-turing-institute/eider/issues
NeedsCompilation: no
Packaged: 2024-05-10 15:14:18 UTC; jyong
Author: Catalina Vallejos [ctb] , Louis Aslett [ctb] , Simon Rogers [ctb] , Camila Rangel Smith [cre, ctb] , Helen Duncan Little [aut] , Jonathan Yong [aut] , The Alan Turing Institute [cph, fnd]
Maintainer: Camila Rangel Smith <crangelsmith@turing.ac.uk>
Repository: CRAN
Date/Publication: 2024-05-13 11:13:19 UTC

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New package DatastreamR with initial version 2.0.4
Package: DatastreamR
Title: Datastream API
Version: 2.0.4
Description: Access Datastream content through <https://product.datastream.com/dswsclient/Docs/Default.aspx>., our historical financial database with over 35 million individual instruments or indicators across all major asset classes, including over 19 million active economic indicators. It features 120 years of data, across 175 countries – the information you need to interpret market trends, economic cycles, and the impact of world events. Data spans bond indices, bonds, commodities, convertibles, credit default swaps, derivatives, economics, energy, equities, equity indices, ESG, estimates, exchange rates, fixed income, funds, fundamentals, interest rates, and investment trusts. Unique content includes I/B/E/S Estimates, Worldscope Fundamentals, point-in-time data, and Reuters Polls. Alongside the content, sit a set of powerful analytical tools for exploring relationships between different asset types, with a library of customizable analytical functions. In-house timeseries can als [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: httr, jsonlite, logger, ini, stringr, methods
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-05-09 07:34:05 UTC; ux010740
Author: LSEG [aut, cre]
Maintainer: LSEG (Datastream) <datastreamapi@lseg.com>
Repository: CRAN
Date/Publication: 2024-05-13 11:03:16 UTC

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New package hmmm with initial version 1.0-5
Package: hmmm
Version: 1.0-5
Date: 2024-05-08
Title: Hierarchical Multinomial Marginal Models
Description: Functions for specifying and fitting marginal models for contingency tables proposed by Bergsma and Rudas (2002) <doi:10.1214/aos/1015362188> here called hierarchical multinomial marginal models (hmmm) and their extensions presented by Bartolucci, Colombi and Forcina (2007) <https://www.jstor.org/stable/24307737>; multinomial Poisson homogeneous (mph) models and homogeneous linear predictor (hlp) models for contingency tables proposed by Lang (2004) <doi:10.1214/aos/1079120140> and Lang (2005) <doi:10.1198/016214504000001042>. Inequality constraints on the parameters are allowed and can be tested.
Imports: quadprog, MASS, mvtnorm, nleqslv, methods
License: GPL (>= 2)
Repository: CRAN
URL: https://www.r-project.org
NeedsCompilation: no
Packaged: 2024-05-09 10:27:29 UTC; rcolombi
Author: Roberto Colombi [aut, cre], Sabrina Giordano [aut], Manuela Cazzaro [aut], Joseph Lang [ctb]
Maintainer: Roberto Colombi <colombi@unibg.it>
Date/Publication: 2024-05-13 08:43:15 UTC

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Sun, 12 May 2024

New package bshazard with initial version 1.2
Package: bshazard
Title: Nonparametric Smoothing of the Hazard Function
Version: 1.2
Date: 2024-05-10
Author: Paola Rebora,Agus Salim, Marie Reilly
Maintainer: Paola Rebora <paola.rebora@unimib.it>
Depends: R(>= 3.3.3),splines,survival,Epi
Description: The function estimates the hazard function non parametrically from a survival object (possibly adjusted for covariates). The smoothed estimate is based on B-splines from the perspective of generalized linear mixed models. Left truncated and right censoring data are allowed. The package is based on the work in Rebora P (2014) <doi:10.32614/RJ-2014-028>.
License: GPL-2
NeedsCompilation: no
Packaged: 2024-05-12 17:22:08 UTC; paola.rebora
Repository: CRAN
Date/Publication: 2024-05-12 21:03:32 UTC

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Sat, 11 May 2024

New package vcrpart with initial version 1.0-5
Package: vcrpart
Title: Tree-Based Varying Coefficient Regression for Generalized Linear and Ordinal Mixed Models
Version: 1.0-5
Date: 2024-05-06
Author: Reto Burgin [aut, cre] , Gilbert Ritschard [ctb]
Maintainer: Reto Burgin <rbuergin@gmx.ch>
Description: Recursive partitioning for varying coefficient generalized linear models and ordinal linear mixed models. Special features are coefficient-wise partitioning, non-varying coefficients and partitioning of time-varying variables in longitudinal regression. A description of a part of this package was published by Burgin and Ritschard (2017) <doi:10.18637/jss.v080.i06>.
License: GPL (>= 2)
Depends: R (>= 3.1.0), parallel, partykit
Imports: stats, grid, graphics, methods, nlme (>= 3.1-123), rpart, formula.tools, numDeriv, ucminf, zoo, sandwich, strucchange
Suggests: xtable, mlbench, Ecdat, RWeka
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2024-05-06 15:13:45 UTC; reto
Repository: CRAN
Date/Publication: 2024-05-11 21:10:02 UTC

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New package lrstat with initial version 0.2.6
Package: lrstat
Title: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
Version: 0.2.6
Date: 2024-05-08
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168). The package can also be used for continuous, binary, and count data. For continuous data, it can handle missing data through mixed-model for repeated measures (MMRM). In crossover designs, it can estimate direct treatment effects while accounting for carryover effects. For binary data, it can design Simon's 2-stage, modified toxicity probability-2 (mTPI-2), a [...truncated...]
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.9), mvtnorm (>= 1.1-3), lpSolve (>= 5.6.1), shiny (>= 1.7.1)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), dplyr, tidyr, survival
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Depends: R (>= 2.10)
LazyData: true
Packaged: 2024-05-10 13:51:14 UTC; kaife
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-11 11:53:04 UTC

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Fri, 10 May 2024

New package shinymgr with initial version 1.1.0
Package: shinymgr
Title: A Framework for Building, Managing, and Stitching 'shiny' Modules into Reproducible Workflows
Version: 1.1.0
Maintainer: Laurence Clarfeld <laurence.clarfeld@uvm.edu>
Description: A unifying framework for managing and deploying 'shiny' applications that consist of modules, where an "app" is a tab-based workflow that guides a user step-by-step through an analysis. The 'shinymgr' app builder "stitches" 'shiny' modules together so that outputs from one module serve as inputs to the next, creating an analysis pipeline that is easy to implement and maintain. Users of 'shinymgr' apps can save analyses as an RDS file that fully reproduces the analytic steps and can be ingested into an R Markdown report for rapid reporting. In short, developers use the 'shinymgr' framework to write modules and seamlessly combine them into 'shiny' apps, and users of these apps can execute reproducible analyses that can be incorporated into reports for rapid dissemination.
License: GPL-3
Encoding: UTF-8
URL: https://code.usgs.gov/vtcfwru/shinymgr
BugReports: https://code.usgs.gov/vtcfwru/shinymgr/-/issues
LazyData: true
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at http://www.usgs.gov/visual-id/ credit_usgs.html#copyright. This software is in the public domain because it contains materials that originally came from the U.S. Geological Survey, an agency of the United States Department of Interior. Although this software program has been used by the U.S. Geological Survey (USGS), no warranty, expressed or implied, is made by the USGS or the U.S. Government as to the accuracy and functioning of the program and related program material nor shall the fact of distribution constitute any such warranty, and no responsibility is assumed by the USGS in connection therewith. This software is provided "AS IS."
Depends: R (>= 3.5.0), shiny
Imports: DBI, reactable, renv, RSQLite, shinyjs, shinydashboard
Suggests: fs, learnr, shinytest, testthat
NeedsCompilation: no
Packaged: 2024-05-09 13:44:50 UTC; lclarfel
Author: Laurence Clarfeld [aut, cre] , Caroline Tang [aut] , Therese Donovan [aut, org, rth]
Repository: CRAN
Date/Publication: 2024-05-10 17:50:03 UTC

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New package ERPM with initial version 0.2.0
Package: ERPM
Title: Exponential Random Partition Models
Version: 0.2.0
Date: 2024-05-03
Description: Simulates and estimates the Exponential Random Partition Model presented in the paper Hoffman, Block, and Snijders (2023) <doi:10.1177/00811750221145166>. It can also be used to estimate longitudinal partitions, following the model proposed in Hoffman and Chabot (2023) <doi:10.1016/j.socnet.2023.04.002>. The model is an exponential family distribution on the space of partitions (sets of non-overlapping groups) and is called in reference to the Exponential Random Graph Models (ERGM) for networks.
License: GPL (>= 3)
Depends: R (>= 4.2)
Imports: numbers, utils, stats, igraph, RColorBrewer, snowfall
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
URL: https://github.com/stocnet/ERPM
BugReports: https://github.com/stocnet/ERPM/issues
NeedsCompilation: no
Packaged: 2024-05-09 13:58:06 UTC; hoffman
Author: Marion Hoffman [cre, aut, cph] , Alexandra Amani [aut], Nico Keiser [aut]
Maintainer: Marion Hoffman <marion.hoffman.31@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-10 17:53:16 UTC

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New package brolgar with initial version 1.0.1
Package: brolgar
Title: Browse Over Longitudinal Data Graphically and Analytically in R
Version: 1.0.1
Description: Provides a framework of tools to summarise, visualise, and explore longitudinal data. It builds upon the tidy time series data frames used in the 'tsibble' package, and is designed to integrate within the 'tidyverse', and 'tidyverts' (for time series) ecosystems. The methods implemented include calculating features for understanding longitudinal data, including calculating summary statistics such as quantiles, medians, and numeric ranges, sampling individual series, identifying individual series representative of a group, and extending the facet system in 'ggplot2' to facilitate exploration of samples of data. These methods are fully described in the paper "brolgar: An R package to Browse Over Longitudinal Data Graphically and Analytically in R", Nicholas Tierney, Dianne Cook, Tania Prvan (2020) <doi:10.32614/RJ-2022-023>.
License: MIT + file LICENSE
URL: https://github.com/njtierney/brolgar, https://brolgar.njtierney.com/
BugReports: https://github.com/njtierney/brolgar/issues
Depends: R (>= 3.5.0)
Imports: dplyr (>= 0.8.3), fabletools, ggplot2 (>= 3.2.0), glue (>= 1.3.1), magrittr (>= 1.5), purrr (>= 0.3.2), rlang (>= 0.4.0), stats, tibble (>= 2.1.3), tidyr (>= 0.8.3), tsibble (>= 0.8.2), vctrs
Suggests: gapminder, gghighlight (>= 0.1.0), knitr (>= 1.23), Matrix (>= 1.6-5), lme4, modelr, rmarkdown (>= 1.14), spelling (>= 2.1), testthat (>= 3.0.0), tsibbledata, vdiffr (>= 0.3.1)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-10 07:57:20 UTC; nick
Author: Nicholas Tierney [aut, cre] , Di Cook [aut] , Tania Prvan [aut], Stuart Lee [ctb], Earo Wang [ctb]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-10 14:50:34 UTC

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New package tpwb with initial version 0.1.0
Package: tpwb
Title: The Three Parameter Weibull Distribution
Version: 0.1.0
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>
Description: Density, distribution function, the quantile function, random generation function, and maximum likelihood estimation.
License: GPL-3
Language: en-US
Encoding: UTF-8
Imports: graphics, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-05-09 02:36:30 UTC; COM
Author: Atchanut Rattanalertnusorn [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-10 13:50:02 UTC

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New package PUGMM with initial version 0.1.0
Package: PUGMM
Version: 0.1.0
Title: Parsimonious Ultrametric Gaussian Mixture Models
Description: Finite Gaussian mixture models with parsimonious extended ultrametric covariance structures estimated via a grouped coordinate ascent algorithm, which is equivalent to the Expectation-Maximization algorithm. The thirteen ultrametric covariance structures implemented allow for the inspection of different hierarchical relationships among variables. The estimation of an ultrametric correlation matrix is included as a function. The methodologies are described in Cavicchia, Vichi, Zaccaria (2024) <doi:10.1007/s11222-024-10405-9>, Cavicchia, Vichi, Zaccaria (2022) <doi:10.1007/s11634-021-00488-x> and Cavicchia, Vichi, Zaccaria (2020) <doi:10.1007/s11634-020-00400-z>.
Depends: R (>= 4.0)
Imports: ClusterR, doParallel, foreach, igraph, MASS, Matrix, mclust, mcompanion, ppclust
License: MIT + file LICENSE
URL: https://github.com/giorgiazaccaria/PUGMM
BugReports: https://github.com/giorgiazaccaria/PUGMM/issues
NeedsCompilation: no
LazyData: yes
Encoding: UTF-8
Maintainer: Giorgia Zaccaria <giorgia.zaccaria@unimib.it>
Packaged: 2024-05-08 15:10:20 UTC; GZ082042
Author: Giorgia Zaccaria [aut, cre] , Carlo Cavicchia [aut] , Lorenzo Balzotti [aut]
Repository: CRAN
Date/Publication: 2024-05-10 13:40:02 UTC

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New package heiscore with initial version 0.0.1
Package: heiscore
Title: Score and Plot the Healthy Eating Index from NHANES Data
Version: 0.0.1
Description: Calculate and visualize Healthy Eating Index (HEI) scores from National Health and Nutrition Examination Survey 24-hour dietary recall data utilizing three methods recommended by the National Cancer Institute (2024) <https://epi.grants.cancer.gov/hei/hei-methods-and-calculations.html#:~:text=To%20use%20the%20simple%20HEI,the%20total%20scores%20across%20individuals.>. Effortlessly analyze HEI scores across different demographic groups and years.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: dplyr, fmsb, ggplot2, ggpubr, graphics, grDevices, magrittr, RColorBrewer, rlang, shiny, shinythemes, stats, stringr, tibble, tidyr, utils
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-08 20:41:10 UTC; vijetharamdas
Author: Vijetha Ramdas [aut, cre], Berkeley Ho [aut], Abhra Sarkar [aut]
Maintainer: Vijetha Ramdas <vramdas06@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-10 13:50:05 UTC

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New package genMCMCDiag with initial version 0.2.1
Package: genMCMCDiag
Title: Generalized Convergence Diagnostics for Difficult MCMC Algorithms
Version: 0.2.1
Description: Trace plots and convergence diagnostics for Markov Chain Monte Carlo (MCMC) algorithms on highly multivariate or unordered spaces. Methods outlined in a forthcoming paper.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/LukeDuttweiler/genMCMCDiag
BugReports: https://github.com/LukeDuttweiler/genMCMCDiag/issues
Depends: R (>= 3.5.0)
LazyData: true
Imports: ggplot2 (>= 3.0.0), coda (>= 0.19.0), mcmcse (>= 1.0.0), knitr (>= 1.45), lifecycle
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-05-08 17:26:22 UTC; LukeDuttweiler
Author: Luke Duttweiler [aut, cre, cph]
Maintainer: Luke Duttweiler <lduttweiler@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2024-05-10 13:50:08 UTC

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New package EXPAR with initial version 0.1.0
Package: EXPAR
Title: Fitting of Exponential Autoregressive (EXPAR) Model
Version: 0.1.0
Description: The amplitude-dependent exponential autoregressive (EXPAR) time series model, initially proposed by Haggan and Ozaki (1981) <doi:10.2307/2335819> has been implemented in this package. Throughout various studies, the model has been found to adequately capture the cyclical nature of datasets. Parameter estimation of such family of models has been tackled by the approach of minimizing the residual sum of squares (RSS). Model selection among various candidate orders has been implemented using various information criteria, viz., Akaike information criteria (AIC), corrected Akaike information criteria (AICc) and Bayesian information criteria (BIC). An illustration utilizing data of egg price indices has also been provided.
License: GPL-3
Imports: forecast, stats
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-09 00:26:01 UTC; Saikath
Author: Saikath Das [aut, cre], Bishal Gurung [aut], Achal Lama [aut], KN Singh [aut]
Maintainer: Saikath Das <saikathdas007@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-10 13:50:11 UTC

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New package respR with initial version 2.3.3
Package: respR
Title: Import, Process, Analyse, and Calculate Rates from Respirometry Data
Date: 2024-05-01
Version: 2.3.3
Maintainer: Nicholas Carey <nicholascarey@gmail.com>
Description: Provides a structural, reproducible workflow for the processing and analysis of respirometry data. It contains analytical functions and utilities for working with oxygen time-series to determine respiration or oxygen production rates, and to make it easier to report and share analyses. See Harianto et al. 2019 <doi:10.1111/2041-210X.13162>.
URL: https://github.com/januarharianto/respr, https://januarharianto.github.io/respR/, https://doi.org/10.1111/2041-210X.13162
Depends: R (>= 3.3)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: data.table, dplyr, glue, graphics, grDevices, lubridate, magrittr, marelac, purrr, roll, segmented, stats, stringr, utils, xml2
Suggests: knitr, rmarkdown, rMR, FishResp, respirometry, testthat, covr
NeedsCompilation: no
Packaged: 2024-05-03 11:58:19 UTC; nicholascarey
Author: Nicholas Carey [aut, cre], Januar Harianto [aut]
Repository: CRAN
Date/Publication: 2024-05-10 09:50:02 UTC

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Thu, 09 May 2024

New package ptm with initial version 0.2.7
Package: ptm
Title: Analyses of Protein Post-Translational Modifications
Version: 0.2.7
Description: Contains utilities for the analysis of post-translational modifications (PTMs) in proteins, with particular emphasis on the sulfoxidation of methionine residues. Features include the ability to download, filter and analyze data from the sulfoxidation database 'MetOSite', and integrate data from other main PTMs (other databases). Utilities to search and characterize S-aromatic motifs in proteins are also provided. In addition, functions to analyze sequence environments around modifiable residues in proteins can be found. For instance, 'ptm' allows to search for amino acids either overrepresented or avoided around the modifiable residues from the proteins of interest. Functions tailored to test statistical hypothesis related to these differential sequence environments are also implemented. A number of utilities to assess the effect of the modification/mutation of a given residue on the protein stability, have also been included in this package. Further and detailed information regarding [...truncated...]
License: GPL (>= 2)
URL: https://bitbucket.org/jcaledo/ptm, https://metositeptm.com
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: bio3d (>= 2.3-4), curl, graphics, httr (>= 1.3.1), igraph, jsonlite, RCurl, seqinr, stats, utils, xml2
Suggests: Biostrings, KEGGREST, knitr, markdown, muscle, testthat
NeedsCompilation: no
Packaged: 2024-05-07 06:47:31 UTC; JCA
Author: Juan Carlos Aledo [aut, cre]
Maintainer: Juan Carlos Aledo <caledo@uma.es>
Repository: CRAN
Date/Publication: 2024-05-09 14:30:02 UTC

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Wed, 08 May 2024

New package qlcMatrix with initial version 0.9.8
Package: qlcMatrix
Version: 0.9.8
Date: 2024-05-06
Title: Utility Sparse Matrix Functions for Quantitative Language Comparison
Description: Extension of the functionality of the 'Matrix' package for using sparse matrices. Some of the functions are very general, while other are highly specific for special data format as used for quantitative language comparison.
URL: https://github.com/cysouw/qlcMatrix
BugReports: https://github.com/cysouw/qlcMatrix/issues
License: GPL-3
Encoding: UTF-8
Depends: Matrix (>= 1.2), R (>= 3.2), slam (>= 0.1-32), sparsesvd
Imports: methods, docopt
Suggests: MASS, knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-05-08 14:26:33 UTC; cysouw
Author: Michael Cysouw [aut, cre]
Maintainer: Michael Cysouw <cysouw@mac.com>
Repository: CRAN
Date/Publication: 2024-05-08 21:20:03 UTC

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New package ofpetrial with initial version 0.1.0
Package: ofpetrial
Title: Design on-Farm Precision Field Agronomic Trials
Version: 0.1.0
Maintainer: Taro Mieno <tmieno2@unl.edu>
URL: https://difm-brain.github.io/ofpetrial/
BugReports: https://github.com/DIFM-Brain/ofpetrial/issues
Description: A comprehensive system for designing and implementing on-farm precision field agronomic trials. You provide field data, tell 'ofpetrial' how to design a trial, and get readily-usable trial design files and a report checks the validity and reliability of the trial design.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, ggplot2, sf, lwgeom, purrr, tidyr, tibble, ggpubr, ggExtra, terra, zip, rmarkdown, tmap, magrittr, dplyr, bookdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
Suggests: knitr
NeedsCompilation: no
Packaged: 2024-05-08 12:48:45 UTC; tmieno2
Author: Taro Mieno [aut, cre, cph] , Brittani Edge [aut, ctb]
Repository: CRAN
Date/Publication: 2024-05-08 14:00:02 UTC

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New package banffIT with initial version 1.0.0
Package: banffIT
Title: Automatize Diagnosis Standardized Assignation Using the Banff Classification
Version: 1.0.0
Maintainer: Guillaume Fabre <guijoseph.fabre@gmail.com>
Description: Assigns standardized diagnoses using the Banff Classification (Category 1 to 6 diagnoses, including Acute and Chronic active T-cell mediated rejection as well as Active, Chronic active, and Chronic antibody mediated rejection). The main function considers a minimal dataset containing biopsies information in a specific format (described by a data dictionary), verifies its content and format (based on the data dictionary), assigns diagnoses, and creates a summary report. The package is developed on the reference guide to the Banff classification of renal allograft pathology Roufosse C, Simmonds N, Clahsen-van Groningen M, et al. A (2018) <doi:10.1097/TP.0000000000002366>. The full description of the Banff classification is available at <https://banfffoundation.org/>.
License: GPL-3
Depends: R (>= 3.4)
URL: https://github.com/PersonalizedTransplantCare/banffIT
BugReports: https://github.com/PersonalizedTransplantCare/banffIT/issues
Imports: dplyr (>= 1.1.0), rlang, tools, utils, crayon, stringr, fs, lubridate, tidyr, fabR, madshapR
Suggests: knitr, rmarkdown, usethis
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-05-08 13:08:28 UTC; guill
Author: Guillaume Fabre [aut, cre] , Ruth Sapir-Pichhadze [fnd, cph, ctb], Samuel El Bouzaidi Tiali [ctb], Jerome Laforme [ctb], Tina Wey [ctb]
Repository: CRAN
Date/Publication: 2024-05-08 14:00:06 UTC

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New package RevSD with initial version 0.1.1
Package: RevSD
Title: Visualizing the Standard Deviation via Revolution
Version: 0.1.1
Maintainer: Hieu Nguyen <hieunguyen04062003@gmail.com>
Description: We visualize the standard deviation of a data set as the radius of a cylinder whose volume equals the total volume of several cylinders made by revolving the empirical cumulative distribution function about the vertical line through the mean. For more details see Sarkar and Rashid (2016) <doi:10.1080/00031305.2016.1165734>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-07 18:09:05 UTC; PC
Author: Hieu Nguyen [aut, cre], Trung Pham [aut], Mamunur Rashid [aut], Jyotirmoy Sarkar [aut]
Repository: CRAN
Date/Publication: 2024-05-08 11:10:05 UTC

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New package read.dbc with initial version 1.0.7
Package: read.dbc
Title: Read Data Stored in DBC (Compressed DBF) Files
Description: Functions for reading and decompressing the DBC (compressed DBF) files. Please note that this is the file format used by the Brazilian Ministry of Health (DATASUS) to publish healthcare datasets. It is not related to the FoxPro or CANdb DBC file formats.
Version: 1.0.7
Depends: R (>= 3.3.0)
Imports: foreign
Maintainer: Daniela Petruzalek <daniela.petruzalek@gmail.com>
URL: https://github.com/danicat/read.dbc
BugReports: https://github.com/danicat/read.dbc/issues
Copyright: 2016 Daniela Petruzalek
License: AGPL-3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-05-07 17:52:28 UTC; danicat
Author: Daniela Petruzalek [aut, cre, cph], Mark Adler [cph, ctb], Pablo Marcondes Fonseca [cph, ctb]
Repository: CRAN
Date/Publication: 2024-05-08 11:10:02 UTC

More information about read.dbc at CRAN
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New package MIMER with initial version 1.0.0
Package: MIMER
Title: Data Wrangling for Antimicrobial Resistance Studies
Version: 1.0.0
Description: Designed for analyzing the Medical Information Mart for Intensive Care(MIMIC) dataset, a repository of freely accessible electronic health records. MIMER(MIMIC-enabled Research) package, offers a suite of data wrangling functions tailored specifically for preparing the dataset for research purposes, particularly in antimicrobial resistance(AMR) studies. It simplifies complex data manipulation tasks, allowing researchers to focus on their primary inquiries without being bogged down by wrangling complexities.
License: GPL (>= 3)
Encoding: UTF-8
Imports: AMR, dplyr, fuzzyjoin, rlang, stringr, tidyr, testthat, data.table, reshape2
NeedsCompilation: no
Packaged: 2024-05-07 16:42:24 UTC; anoopvelluva
Author: Anoop Velluva [aut, cre]
Maintainer: Anoop Velluva <anoop.velluva@liverpool.ac.uk>
Repository: CRAN
Date/Publication: 2024-05-08 11:10:08 UTC

More information about MIMER at CRAN
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New package mxfda with initial version 0.2.1
Package: mxfda
Title: A Functional Data Analysis Package for Spatial Single Cell Data
Version: 0.2.1
Date: 2024-05-06
Description: Methods and tools for deriving spatial summary functions from single-cell imaging data and performing functional data analyses. Functions can be applied to other single-cell technologies such as spatial transcriptomics. Functional regression and functional principal component analysis methods are in the 'refund' package <https://cran.r-project.org/package=refund> while calculation of the spatial summary functions are from the 'spatstat' package <https://spatstat.org/>.
License: MIT + file LICENSE
URL: https://github.com/julia-wrobel/mxfda/, http://juliawrobel.com/mxfda/
BugReports: https://github.com/julia-wrobel/mxfda/issues/
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse, survival, ggpubr, spatialTIME, tibble, broom, refund.shiny
Imports: magrittr, rlang, tidyr, purrr, dplyr, ggplot2, lifecycle, methods, stats, refund (>= 0.1-35), reshape2, mgcv, spatstat.geom, spatstat.explore, SpatEntropy, SimDesign
Depends: R (>= 2.10),
LazyData: true
LazyDataCompression: bzip2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-07 15:22:52 UTC; 4471592
Author: Julia Wrobel [aut] , Alex Soupir [aut, cre]
Maintainer: Alex Soupir <alex.soupir@moffitt.org>
Repository: CRAN
Date/Publication: 2024-05-08 11:00:02 UTC

More information about mxfda at CRAN
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New package MBCbook with initial version 0.1.2
Encoding: UTF-8
Package: MBCbook
Title: Companion Package for the Book "Model-Based Clustering and Classification for Data Science"
Version: 0.1.2
Date: 2024-05-06
Depends: R (>= 3.1.0), mclust, Rmixmod, MASS, mvtnorm
Suggests: network, jpeg
Description: The companion package provides all original data sets and functions that are used in the book "Model-Based Clustering and Classification for Data Science" by Charles Bouveyron, Gilles Celeux, T. Brendan Murphy and Adrian E. Raftery (2019, ISBN:9781108644181).
License: GPL (>= 2)
NeedsCompilation: no
URL: https://github.com/cbouveyron/MBCbook
BugReports: https://github.com/cbouveyron/MBCbook/issues
Packaged: 2024-05-07 14:48:15 UTC; charles
Author: Charles Bouveyron [cre, aut], Gilles Celeux [aut], T. Brendan Murphy [aut], Adrian Raftery [aut]
Maintainer: Charles Bouveyron <charles.bouveyron@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-08 11:00:06 UTC

More information about MBCbook at CRAN
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Tue, 07 May 2024

New package SurvEval with initial version 1.0
Package: SurvEval
Title: Methods for the Evaluation of Survival Models
Version: 1.0
Date: 2024-05-04
Description: Provides predictive accuracy tools to evaluate time-to-event survival models. This includes calculating the concordance probability estimate that incorporates the follow-up time for a particular study developed by Devlin, Gonen, Heller (2020)<doi:10.1007/s10985-020-09503-3>. It also evaluates the concordance probability estimate for nested Cox proportional hazards models using a projection-based approach by Heller and Devlin (under review).
License: GPL (>= 2)
Depends: R (>= 3.6), survival, stats
Imports: Rcpp (>= 1.0.11)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-05-07 12:51:33 UTC; devlins
Author: Sean Devlin [aut, cre], Glenn Heller [aut]
Maintainer: Sean Devlin <devlins@mskcc.org>
Repository: CRAN
Date/Publication: 2024-05-07 15:20:02 UTC

More information about SurvEval at CRAN
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New package lzstring with initial version 0.1.2
Package: lzstring
Title: Wrapper for 'lz-string' 'C++' Library
Version: 0.1.2
Description: Provide access to the 'lz-string' <http://pieroxy.net/blog/pages/lz-string/index.html> 'C++' library for Lempel-Ziv (LZ) based compression and decompression of strings.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: cpp11
Suggests: testthat (>= 3.0.0)
URL: https://parmsam.github.io/lzstring-r/, https://github.com/parmsam/lzstring-r
BugReports: https://github.com/parmsam/lzstring-r/issues
NeedsCompilation: yes
Packaged: 2024-05-04 02:39:35 UTC; samparmar
Author: Sam Parmar [aut, cre], Andrey Krasnov [cph]
Maintainer: Sam Parmar <parmartsam@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-07 14:50:02 UTC

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New package ddecompose with initial version 1.0.0
Package: ddecompose
Title: Detailed Distributional Decomposition
Version: 1.0.0
Maintainer: Samuel Meier <samuel.meier+ddecompose@immerda.ch>
Description: Implements the Oaxaca-Blinder decomposition method and generalizations of it that decompose differences in distributional statistics beyond the mean. The function ob_decompose() decomposes differences in the mean outcome between two groups into one part explained by different covariates (composition effect) and into another part due to differences in the way covariates are linked to the outcome variable (structure effect). The function further divides the two effects into the contribution of each covariate and allows for weighted doubly robust decompositions. For distributional statistics beyond the mean, the function performs the recentered influence function (RIF) decomposition proposed by Firpo, Fortin, and Lemieux (2018). The function dfl_decompose() divides differences in distributional statistics into an composition effect and a structure effect using inverse probability weighting as introduced by DiNardo, Fortin, and Lemieux (1996). The function also allows to sequentially decom [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: ggplot2, R (>= 2.10)
Imports: rifreg, Formula, Hmisc, parallel, pbapply, sandwich, stats, ranger, fastglm, methods
Suggests: testthat (>= 3.0.0), tidyr, dplyr
NeedsCompilation: no
Packaged: 2024-05-07 07:44:54 UTC; daidai
Author: David Gallusser [aut], Samuel Meier [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-07 15:00:02 UTC

More information about ddecompose at CRAN
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New package cmstatrExt with initial version 0.4.0
Package: cmstatrExt
Title: More Statistical Methods for Composite Material Data
Version: 0.4.0
Date: 2024-05-05
Description: A companion package to 'cmstatr' <https://cran.r-project.org/package=cmstatr>. 'cmstatr' contains statistical methods that are published in the Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4), while 'cmstatrExt' contains statistical methods that are not included in that handbook.
URL: https://github.com/cmstatr/cmstatrExt, https://cmstatrExt.cmstatr.net
BugReports: https://github.com/cmstatr/cmstatrExt/issues
License: AGPL-3
Imports: dplyr, generics, Rcpp, rlang (>= 0.4.0), stats
LinkingTo: Rcpp, testthat
SystemRequirements: C++17
Encoding: UTF-8
Suggests: cmstatr, testthat (>= 3.0.0), tidyverse, lintr, xml2, rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-05-07 02:59:10 UTC; stefan
Author: Stefan Kloppenborg [aut, cre]
Maintainer: Stefan Kloppenborg <stefan@kloppenborg.ca>
Repository: CRAN
Date/Publication: 2024-05-07 14:50:05 UTC

More information about cmstatrExt at CRAN
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New package psm3mkv with initial version 0.3.1
Package: psm3mkv
Title: Evaluate Partitioned Survival and State Transition Models
Version: 0.3.1
Description: Fits and evaluates three-state partitioned survival analyses (PartSAs) and Markov models (clock forward or clock reset) to progression and overall survival data typically collected in oncology clinical trials. These model structures are typically considered in cost-effectiveness modeling in advanced/metastatic cancer indications. Muston (2024). "Informing structural assumptions for three state oncology cost-effectiveness models through model efficiency and fit". Applied Health Economics and Health Policy. In press.
License: GPL (>= 3)
URL: https://merck.github.io/psm3mkv/, https://github.com/Merck/psm3mkv
BugReports: https://github.com/Merck/psm3mkv/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, flexsurv, ggplot2, purrr, rlang, SimplicialCubature, stats, survival, stringr, tibble, tidyr
Suggests: boot, covr, ggsci, HMDHFDplus, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-06 22:03:00 UTC; muston
Author: Dominic Muston [aut, cre] , Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph, fnd]
Maintainer: Dominic Muston <dominic.muston@merck.com>
Repository: CRAN
Date/Publication: 2024-05-07 08:10:02 UTC

More information about psm3mkv at CRAN
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New package morrowplots with initial version 0.1.0
Package: morrowplots
Title: Historical Agricultural Data from the University of Illinois
Version: 0.1.0
Description: Agricultural data for 1888-2021 from the Morrow Plots at the University of Illinois. The world's second oldest ongoing agricultural experiment, the Morrow Plots measure the impact of crop rotation and fertility treatments on corn yields. The data includes planting information and annual yield measures for corn grown continuously and in rotation with other crops, in treated and untreated soil.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: dplyr, ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://SandiCal.github.io/morrowplots/, https://github.com/SandiCal/morrowplots
BugReports: https://github.com/SandiCal/morrowplots/issues
NeedsCompilation: no
Packaged: 2024-05-06 21:52:37 UTC; caldron2
Author: Sandi Caldrone [cre, aut, cph] , Heidi Imker [aut, cph] , Josh Henry [aut, cph] , Brooke Anderson [ctb]
Maintainer: Sandi Caldrone <caldron2@illinois.edu>
Repository: CRAN
Date/Publication: 2024-05-07 08:10:08 UTC

More information about morrowplots at CRAN
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New package lotterybr with initial version 0.1.0
Package: lotterybr
Title: Lottery Datasets from Caixa Economica Federal
Version: 0.1.0
Description: A collection of functions designed to streamline the retrieval of data from Brazilian lottery games operated by Caixa Econômica Federal, accessible through the official website at <https://loterias.caixa.gov.br/Paginas/default.aspx/>. Datasets for each game are conveniently stored on the GitHub page at <https://github.com/tomasbp2/LotteryBrasilDATA/>. Each game within this repository consists of two primary datasets: the winners dataset and the numbers dataset. The winners dataset includes crucial information such as the draw date, game type, potential matches, winners for each match, and corresponding prize amounts. Meanwhile, the numbers dataset provides essential details including the draw date, game type, and the numbers drawn during the respective lottery event. By offering easy access to these datasets, the package facilitates efficient data retrieval and analysis for researchers, analysts, and enthusiasts interested in exploring the dynamics and outcomes of Brazilian [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/tomasbp2/lotterybr, https://tomasbp2.github.io/lotterybr/
BugReports: https://github.com/tomasbp2/lotterybr/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-06 21:57:02 UTC; tomas
Author: Tomas Bernardes [aut, cre, cph], Salvador Netto [aut], Fabio Demarqui [aut, cph]
Maintainer: Tomas Bernardes <tomasbp@ufmg.br>
Repository: CRAN
Date/Publication: 2024-05-07 08:10:12 UTC

More information about lotterybr at CRAN
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New package modelgrid with initial version 1.2.0
Package: modelgrid
Title: A Framework for Creating, Managing and Training Multiple 'caret' Models
Version: 1.2.0
Description: A minimalistic but flexible framework that facilitates the creation, management and training of multiple 'caret' models. A model grid consists of two components, (1) a set of settings that is shared by all models by default, and (2) specifications that apply only to the individual models. When the model grid is trained, model and training specifications are first consolidated from the shared and the model specific settings into complete 'caret' model configurations. These models are then trained with the 'train()' function from the 'caret' package.
URL: https://github.com/smaakage85/modelgrid
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: caret, purrr, dplyr, magrittr
Suggests: testthat, knitr, rmarkdown, recipes
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-06 21:33:52 UTC; alroble8
Author: Lars Kjeldgaard [aut], Angel Robles [cre]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-07 07:30:09 UTC

More information about modelgrid at CRAN
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New package ggmugs with initial version 0.6.0
Package: ggmugs
Title: Visualization of Multiple Genome-Wide Association Study Summary Statistics
Version: 0.6.0
Description: A 'grammar of graphics' approach for visualizing summary statistics from multiple Genome-wide Association Studies (GWAS). It offers geneticists, bioinformaticians, and researchers a powerful yet flexible tool for illustrating complex genetic associations using data from various GWAS datasets. The visualizations can be extensively customized, facilitating detailed comparative analysis across different genetic studies. Reference: Uffelmann, E. et al. (2021) <doi:10.1038/s43586-021-00056-9>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: spelling, testthat (>= 3.0.0)
Imports: data.table, dplyr, ggplot2, purrr, tibble, tidyr
Language: en-US
NeedsCompilation: no
Packaged: 2024-05-06 19:14:04 UTC; wanjun
Author: Wanjun Gu [aut, cre]
Maintainer: Wanjun Gu <wanjun.gu@ucsf.edu>
Repository: CRAN
Date/Publication: 2024-05-07 08:00:07 UTC

More information about ggmugs at CRAN
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New package flexlsx with initial version 0.2.1
Package: flexlsx
Title: Exporting 'flextable' to 'xlsx' Files
Version: 0.2.1
Description: Exports 'flextable' objects to 'xlsx' files, utilizing functionalities provided by 'flextable' and 'openxlsx2'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.1), grDevices, openxlsx2 (>= 1.0.0), purrr, rlang, stringi, tibble, tidyr (>= 1.0.0)
Suggests: covr, gtsummary, flextable (>= 0.9.5), testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
URL: https://github.com/pteridin/flexlsx
BugReports: https://github.com/pteridin/flexlsx/issues
NeedsCompilation: no
Packaged: 2024-05-06 19:02:38 UTC; Tobias.Heidler
Author: Tobias Heidler [aut, cre, cph]
Maintainer: Tobias Heidler <tobias.heidler@googlemail.com>
Repository: CRAN
Date/Publication: 2024-05-07 07:50:02 UTC

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New package ceas with initial version 1.0.0
Package: ceas
Title: Cellular Energetics Analysis Software
Version: 1.0.0
Description: Analysis and visualization of cellular energetics data from Agilent Seahorse XF96. Cellular energetics is how cells make, use, and distribute units of energy (primarily ATP). Measuring real-time cellular energetics is essential to understanding a tissue or cell’s bioenergetic state and fuel dependencies. The Seahorse machine measures a cell’s or matrix’s oxygen consumption rate (OCR) – a proxy of oxidative phosphorylation – and extracellular acidification rate – a proxy of glycolysis. This package offers flexible and fast analysis and plotting capabilities for such data using the methods described by Mookerjee et al. (2017) <doi:10.1074/jbc.m116.774471>.
URL: https://jamespeapen.github.io/ceas/, https://github.com/jamespeapen/ceas/
BugReports: https://github.com/jamespeapen/ceas/issues/
Imports: data.table, ggplot2, readxl, stats
Encoding: UTF-8
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-06 18:20:32 UTC; james.eapen
Author: Rachel House [aut, cre] , James Eapen [aut] , Hui Shen [fnd] , Carrie Graveel [fnd] , Matthew Steensma [fnd] , Van Andel Institute [cph]
Maintainer: Rachel House <rachel.house@vai.org>
Repository: CRAN
Date/Publication: 2024-05-07 07:50:13 UTC

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New package callback with initial version 0.1.0
Package: callback
Title: Computes Statistics from Discrimination Experimental Data
Version: 0.1.0
Description: In discrimination experiments candidates are sent on the same test (e.g. job, house rental) and one examines whether they receive the same outcome. The number of non negative answers are first examined in details looking for outcome differences. Then various answering rates and their exacts confidence intervals are computed. Last, exact and asymptotic discrimination tests are performed (Student, binomial).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, utils
BuildVignettes: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-04 16:27:38 UTC; dave
Author: Emmanuel Duguet [aut, cre], David Gray [ctb], Loic du Parquet [ctb], Yannick L'Horty [ctb], Remi Le Gall [ctb], Noam Leandri [ctb], Pascale Petit [ctb], Florent Sari [ctb]
Maintainer: Emmanuel Duguet <emmanuel.duguet@u-pec.fr>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-05-07 07:40:09 UTC

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Mon, 06 May 2024

New package gptr with initial version 0.5.0
Package: gptr
Title: A Convenient R Interface with the OpenAI 'ChatGPT' API
Version: 0.5.0
Description: A convenient interface with the OpenAI 'ChatGPT' API <https://api.openai.com>. 'gptr' allows you to interact with 'ChatGPT', a powerful language model, for various natural language processing tasks. The 'gptr' R package makes talking to 'ChatGPT' in R super easy. It helps researchers and data folks by simplifying the complicated stuff, like asking questions and getting answers. With 'gptr', you can use 'ChatGPT' in R without any hassle, making it simpler for everyone to do cool things with language!
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, RCurl
NeedsCompilation: no
Packaged: 2024-05-04 23:44:27 UTC; wanjun
Author: Wanjun Gu [aut, cre]
Maintainer: Wanjun Gu <wanjun.gu@ucsf.edu>
Repository: CRAN
Date/Publication: 2024-05-06 19:10:03 UTC

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New package mvgam with initial version 1.1.0
Package: mvgam
Title: Multivariate (Dynamic) Generalized Additive Models
Version: 1.1.0
Date: 2024-05-03
Description: Fit Bayesian Dynamic Generalized Additive Models to sets of time series. Users can build dynamic nonlinear State-Space models that can incorporate semiparametric effects in observation and process components, using a wide range of observation families. Estimation is performed using Markov Chain Monte Carlo with Hamiltonian Monte Carlo in the software 'Stan'. References: Clark & Wells (2022) <doi:10.1111/2041-210X.13974>.
URL: https://github.com/nicholasjclark/mvgam, https://nicholasjclark.github.io/mvgam/
BugReports: https://github.com/nicholasjclark/mvgam/issues
License: MIT + file LICENSE
Depends: R (>= 3.6.0), mgcv (>= 1.8-13), Rcpp (>= 0.12.0), brms (>= 2.17), marginaleffects, insight (>= 0.19.1), methods
Imports: rstan (>= 2.29.0), posterior (>= 1.0.0), loo (>= 2.3.1), rstantools (>= 2.1.1), bayesplot (>= 1.5.0), ggplot2 (>= 2.0.0), matrixStats, parallel, pbapply, mvnfast, purrr, zoo, scoringRules, smooth, dplyr, magrittr, Matrix, rlang
Encoding: UTF-8
LazyData: true
Suggests: cmdstanr (>= 0.5.0), tweedie, splines2, extraDistr, wrswoR, xts, lubridate, knitr, collapse, rmarkdown, rjags, coda, runjags, usethis, testthat
Additional_repositories: https://mc-stan.org/r-packages/
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-05-04 02:22:12 UTC; uqnclar2
Author: Nicholas J Clark [aut, cre]
Maintainer: Nicholas J Clark <nicholas.j.clark1214@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-06 18:50:02 UTC

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New package BiObjClass with initial version 0.1.0
Package: BiObjClass
Title: Classification of Algorithms
Version: 0.1.0
Maintainer: Tiago Costa Soares <tiagocsoares22@gmail.com>
Description: Implements the Bi-objective Lexicographical Classification method and Performance Assessment Ratio at 10% metric for algorithm classification. Constructs matrices representing algorithm performance under multiple criteria, facilitating decision-making in algorithm selection and evaluation. Analyzes and compares algorithm performance based on various metrics to identify the most suitable algorithms for specific tasks. This package includes methods for algorithm classification and evaluation, with examples provided in the documentation. Carvalho (2019) presents a statistical evaluation of algorithmic computational experimentation with infeasible solutions <doi:10.48550/arXiv.1902.00101>. Moreira and Carvalho (2023) analyze power in preprocessing methodologies for datasets with missing values <doi:10.1080/03610918.2023.2234683>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-06 02:09:04 UTC; tiago
Author: Tiago Costa Soares [aut, cre], Pedro Augusto Mendes [aut]
Repository: CRAN
Date/Publication: 2024-05-06 19:00:21 UTC

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New package limexhub with initial version 0.1.5
Package: limexhub
Title: Quantitative Trade Signals
Version: 0.1.5
Date: 2024-05-04
Depends: data.table,jsonlite,httr
Maintainer: Vyacheslav Arbuzov <arbuzov1989@gmail.com>
Description: Provides an interface to the financial data platform <https://datahub.limex.com/>., enabling users to retrieve real-time and historical financial data. Functions within the package allow access to instruments, candlestick charts, fundamentals, news, events, models, and trading signals. Authentication is managed through user-specific API tokens, which are securely handled via environment variables.
LazyLoad: yes
License: GPL-3
Encoding: UTF-8
URL: https://datahub.limex.com
BugReports: https://github.com/Limex-com/limexhub-r/issues
NeedsCompilation: no
Packaged: 2024-05-04 07:11:19 UTC; vyacheslav
Author: Vyacheslav Arbuzov [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-05-06 17:00:02 UTC

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New package Patterns with initial version 1.5
Package: Patterns
Title: Deciphering Biological Networks with Patterned Heterogeneous Measurements
Version: 1.5
Date: 2024-05-03
Depends: R (>= 3.5.0)
Imports: abind, cluster, e1071, gplots, graphics, grDevices, igraph, jetset, lars, lattice, limma, methods, Mfuzz, movMF, nnls, plotrix, repmis, SelectBoost, tnet, VGAM, WGCNA
Suggests: animation, Biobase, biomaRt, c060, CascadeData, elasticnet, glmnet, knitr, pixmap, R.rsp, rmarkdown, spls
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Description: A modeling tool dedicated to biological network modeling (Bertrand and others 2020, <doi:10.1093/bioinformatics/btaa855>). It allows for single or joint modeling of, for instance, genes and proteins. It starts with the selection of the actors that will be the used in the reverse engineering upcoming step. An actor can be included in that selection based on its differential measurement (for instance gene expression or protein abundance) or on its time course profile. Wrappers for actors clustering functions and cluster analysis are provided. It also allows reverse engineering of biological networks taking into account the observed time course patterns of the actors. Many inference functions are provided and dedicated to get specific features for the inferred network such as sparsity, robust links, high confidence links or stable through resampling links. Some simulation and prediction tools are also available for cascade networks (Jung and others 2014, <doi:10.1093/bioinformati [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Classification/MSC: 62J05, 62J07, 62J99, 92C42
VignetteBuilder: knitr
URL: https://fbertran.github.io/Patterns/, https://github.com/fbertran/Patterns/
BugReports: https://github.com/fbertran/Patterns/issues/
NeedsCompilation: no
Packaged: 2024-05-03 23:32:19 UTC; fbertran
Repository: CRAN
Date/Publication: 2024-05-06 13:40:02 UTC

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Sun, 05 May 2024

New package systemicrisk with initial version 0.4.3
Package: systemicrisk
Title: Systemic Risk and Network Reconstruction
Version: 0.4.3
Date: 2024-05-03
Description: Analysis of risk through liability matrices. Contains a Gibbs sampler for network reconstruction, where only row and column sums of the liabilities matrix as well as some other fixed entries are observed, following the methodology of Gandy&Veraart (2016) <doi:10.1287/mnsc.2016.2546>. It also incorporates models that use a power law distribution on the degree distribution.
License: GPL-3
Imports: lpSolve, Rcpp (>= 0.11.2), stats, utils
LinkingTo: Rcpp
Suggests: coda, testthat, knitr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-05-03 16:09:45 UTC; agandy
Author: Axel Gandy [aut, cre], Luitgard A.M. Veraart [aut]
Maintainer: Axel Gandy <a.gandy@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2024-05-05 21:10:02 UTC

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New package MonoPhy with initial version 1.3.1
Package: MonoPhy
Title: Explore Monophyly of Taxonomic Groups in a Phylogeny
Version: 1.3.1
Date: 2024-05-04
Depends: ape, phytools, phangorn, RColorBrewer, taxize
Description: Requires rooted phylogeny as input and creates a table of genera, their monophyly-status, which taxa cause problems in monophyly etc. Different information can be extracted from the output and a plot function allows visualization of the results in a number of ways. "MonoPhy: a simple R package to find and visualize monophyly issues." Schwery, O. & O'Meara, B.C. (2016) <doi:10.7717/peerj-cs.56>.
License: GPL-3
Suggests: knitr, testthat, paleotree, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-05 02:10:16 UTC; oschwery
Author: Orlando Schwery [aut, cre], Brian C. O'Meara [aut, ctb], Peter Cowman [ctb]
Maintainer: Orlando Schwery <schwery.macroevo@pm.me>
Repository: CRAN
Date/Publication: 2024-05-05 21:20:18 UTC

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Sat, 04 May 2024

New package BiSEp with initial version 2.3
Package: BiSEp
Title: Toolkit to Identify Candidate Synthetic Lethality
Version: 2.3
Date: 2024-05-04
Author: Mark Wappett
Maintainer: Mark Wappett <m.wappett@qub.ac.uk>
Depends: R (>= 3.3.1)
Imports: AnnotationDbi, mclust, GO.db, org.Hs.eg.db, GOSemSim
Description: Enables the user to infer potential synthetic lethal relationships by analysing relationships between bimodally distributed gene pairs in big gene expression datasets. Enables the user to visualise these candidate synthetic lethal relationships.
License: Artistic-2.0
NeedsCompilation: no
Packaged: 2024-05-03 11:12:38 UTC; 3055680
Repository: CRAN
Date/Publication: 2024-05-04 23:50:02 UTC

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Fri, 03 May 2024

New package survivalVignettes with initial version 0.1.6
Package: survivalVignettes
Version: 0.1.6
Date: 2024-05-02
Title: Survival Analysis Vignettes and Optional Datasets
Depends: R (>= 3.5.0), survival
Imports: graphics
Suggests: knitr, rmarkdown, bookdown, survey, geepack, mstate, R.rsp
URL: https://github.com/bethatkinson/survivalVignettes
BugReports: https://github.com/bethatkinson/survivalVignettes/issues
Description: Vignettes for the 'survival' package. Split from the 'survival' package since the vignettes were getting large. Also, since 'survival' is a recommended package it cannot make use of other packages outside of base+recommended (e.g. 'rmarkdown').
License: LGPL (>= 2)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-02 14:53:50 UTC; atkinson
Author: Terry M Therneau [aut], Elizabeth Atkinson [cre, ctb], Cynthia Crowson [ctb]
Maintainer: Elizabeth Atkinson <atkinson@mayo.edu>
Repository: CRAN
Date/Publication: 2024-05-03 23:20:02 UTC

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New package EMJMCMC with initial version 1.5.0
Package: EMJMCMC
Title: Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox
Version: 1.5.0
Date: 2024-05-02
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>
Description: Implementation of the Mode Jumping Markov Chain Monte Carlo algorithm from Hubin, A., Storvik, G. (2018) <doi:10.1016/j.csda.2018.05.020>, Genetically Modified Mode Jumping Markov Chain Monte Carlo from Hubin, A., Storvik, G., & Frommlet, F. (2020) <doi:10.1214/18-BA1141>, Hubin, A., Storvik, G., & Frommlet, F. (2021) <doi:10.1613/jair.1.13047>, and Hubin, A., Heinze, G., & De Bin, R. (2023) <doi:10.3390/fractalfract7090641>, and Reversible Genetically Modified Mode Jumping Markov Chain Monte Carlo from Hubin, A., Frommlet, F., & Storvik, G. (2021) <doi:10.48550/arXiv.2110.05316>, which allow for estimating posterior model probabilities and Bayesian model averaging across a wide set of Bayesian models including linear, generalized linear, generalized linear mixed, generalized nonlinear, generalized nonlinear mixed, and logic regression models.
License: GPL
Depends: R (>= 3.4.1), bigmemory
Imports: glmnet, biglm, hash, BAS, stringi, parallel, methods, speedglm, stats, withr
Suggests: testthat (>= 3.0.0), bindata, clusterGeneration, reshape2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-02 07:33:43 UTC; waldir
Author: Aliaksandr Hubin [aut], Waldir Leoncio [cre, aut], Geir Storvik [ctb], Florian Frommlet [ctb]
Repository: CRAN
Date/Publication: 2024-05-03 23:10:02 UTC

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New package DBTCShiny with initial version 0.1.2
Package: DBTCShiny
Title: Dada-BLAST-Taxon Assign-Condense Metabarcode Analysis 'shiny' Application
Version: 0.1.2
Maintainer: Robert G Young <rgyoung6@gmail.com>
Description: Metabarcoding analysis using the 'DBTC' package is implemented here using 'shiny' in an interactive graphical user interface to conduct Metabarcode analyses and visualize and filter results.
License: GPL-2 | GPL-3
Encoding: UTF-8
URL: <https://github.com/rgyoung6/DBTCShiny>
Depends:
Imports: DBTC, DT, ggplot2, leaflet, leaflet.extras, magrittr, shiny, shinyFiles, shinyjs, shinycssloaders, shinydashboard, shinyWidgets,
Language: en-GB
NeedsCompilation: no
Packaged: 2024-05-03 15:11:47 UTC; robgy
Author: Robert G Young [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-05-03 23:30:02 UTC

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New package SoilConservation with initial version 1.0.0
Package: SoilConservation
Title: Soil and Water Conservation
Version: 1.0.0
Date: 2024-04-28
Imports: stats
Acknowledgements: This work was carried out with support from CNPq, National Council for Scientific and Technological Development (number of the process 152652/2022-1)
Depends: R (>= 3.5.1)
Description: Includes four functions: RFactor_calc(), RFactor_est(), KFactor() and SoilLoss(). The rainfall erosivity factors can be calculated or estimated, and soil erodibility will be estimated by the equation extracted from the monograph. Soil loss will be estimated by the product of five factors (rainfall erosivity, soil erodibility, length and steepness slope, cover-management factor and support practice factor. In the future, additional functions can be included. This efforts to advance research in soil and water conservation, with fast and accurate results.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Author: Dione Pereira Cardoso [aut, cre] , Paulo Cesar Ossani [aut] , Junior Cesar Avanzi [aut]
Maintainer: Dione Pereira Cardoso <cardoso.dione@gmail.com>
Repository: CRAN
Packaged: 2024-05-03 13:15:26 UTC; Ossan
Date/Publication: 2024-05-03 13:50:02 UTC

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New package OpenLand with initial version 1.0.3
Package: OpenLand
Title: Quantitative Analysis and Visualization of LUCC
Version: 1.0.3
Description: Tools for the analysis of land use and cover (LUC) time series. It includes support for loading spatiotemporal raster data and synthesized spatial plotting. Several LUC change (LUCC) metrics in regular or irregular time intervals can be extracted and visualized through one- and multistep sankey and chord diagrams. A complete intensity analysis according to Aldwaik and Pontius (2012) <doi:10.1016/j.landurbplan.2012.02.010> is implemented, including tools for the generation of standardized multilevel output graphics.
License: GPL-3
URL: https://reginalexavier.github.io/OpenLand/, https://github.com/reginalexavier/OpenLand
BugReports: https://github.com/reginalexavier/OpenLand/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: dplyr (>= 0.8.3), tidyr (>= 1.0.0), ggplot2 (>= 3.2.1), gridExtra (>= 2.3), grid, circlize (>= 0.4.8), networkD3 (>= 0.4), raster (>= 3.0.7), methods
Suggests: tmap, knitr, rmarkdown, covr, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-03 13:06:15 UTC; tredgi
Author: Reginal Exavier [aut, cre] , Peter Zeilhofer [aut]
Maintainer: Reginal Exavier <reginalexavier@rocketmail.com>
Repository: CRAN
Date/Publication: 2024-05-03 13:40:02 UTC

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New package lievens with initial version 0.0.1
Package: lievens
Title: Real-Time PCR Data Sets by Lievens et al. (2012)
Version: 0.0.1
Description: Real-time quantitative polymerase chain reaction (qPCR) data sets by Lievens et al. (2012) <doi:10.1093/nar/gkr775>. Provides one single tabular tidy data set in long format, encompassing three dilution series, targeted against the soybean Lectin endogene. Each dilution series was assayed in one of the following PCR-efficiency-modifying conditions: no PCR inhibition, inhibition by isopropanol and inhibition by tannic acid. The inhibitors were co-diluted along with the dilution series. The co-dilution series consists of a five-point, five-fold serial dilution. For each concentration there are 18 replicates. Each amplification curve is 60 cycles long. Original raw data file is available at the Supplementary Data section at Nucleic Acids Research Online <doi:10.1093/nar/gkr775>.
License: CC BY 4.0
Encoding: UTF-8
Imports: tibble
Depends: R (>= 2.10)
LazyData: true
URL: https://rmagno.eu/lievens/, https://github.com/ramiromagno/lievens
BugReports: https://github.com/ramiromagno/lievens/issues
NeedsCompilation: no
Packaged: 2024-05-02 23:18:32 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2024-05-03 13:10:02 UTC

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New package LATERmodel with initial version 0.2.0
Package: LATERmodel
Title: Linear Approach to Threshold with Ergodic Rate for Reaction Times
Version: 0.2.0
Description: Implements the Linear Approach to Threshold with Ergodic Rate (LATER) model, which predicts distributions of reaction times and summarises them with as little as two free parameters. Allows for easy visualisation and comparison of datasets, along with fitting of datasets using the LATER model.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, rlang, stats, tibble, parallel, moments
Depends: R (>= 4.1)
LazyData: true
Suggests: lintr, styler, testthat (>= 3.0.0), vdiffr, printr, withr
URL: https://github.com/unimelbmdap/LATERmodel, https://unimelbmdap.github.io/LATERmodel/
BugReports: https://github.com/unimelbmdap/LATERmodel/issues
NeedsCompilation: no
Packaged: 2024-05-03 06:16:05 UTC; mquiroga
Author: Maria del Mar Quiroga [aut, cre] , Damien Mannion [aut] , Edoardo Tescari [aut] , Andrew Anderson [aut] , The University of Melbourne [cph, fnd]
Maintainer: Maria del Mar Quiroga <mar.quiroga@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2024-05-03 13:20:02 UTC

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New package ExpImage with initial version 0.10.0
Package: ExpImage
Title: Analysis of Images in Experiments
Version: 0.10.0
Description: Tools created for image analysis in researches. There are functions associated with image editing, segmentation, and obtaining biometric measurements (Este pacote foi idealizado para para a analise de imagens em pesquisas. Ha funcoes associadas a edicao de imagens, segmentacao, e obtencao de medidas biometricas) <https://www.expstat.com/pacotes-do-r/expimage>.
Depends: raster
Imports: rstudioapi,progress,randomForest,ggplot2,crayon, doParallel,parallel, foreach,schemr
URL: https://www.youtube.com/channel/UCDGyvLCJnv9RtTY1YMBMVNQ, https://github.com/cran/ExpImage
License: GPL-3
Encoding: UTF-8
Language: pt-BR
Suggests: BiocManager, EBImage, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-03 12:13:10 UTC; AlcineiAzevedo
Author: Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>
Repository: CRAN
Date/Publication: 2024-05-03 13:40:06 UTC

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New package bRacatus with initial version 2.0.0
Package: bRacatus
Title: A Method to Estimate the Accuracy and Biogeographical Status of Georeferenced Biological Data
Version: 2.0.0
Language: en-GB
Description: Automated assessment of accuracy and geographical status of georeferenced biological data. The methods rely on reference regions, namely checklists and range maps. Includes functions to obtain data from the Global Biodiversity Information Facility <https://www.gbif.org/> and from the Global Inventory of Floras and Traits <https://gift.uni-goettingen.de/home>. Alternatively, the user can input their own data. Furthermore, provides easy visualisation of the data and the results through the plotting functions. Especially suited for large datasets. The reference for the methodology is: Arlé et al. (under review).
Depends: R (>= 3.5.0)
Imports: data.table, geojsonio, graphics, grDevices, jsonlite, methods, plotfunctions, raster, rgbif, rnaturalearth, sf, sp, stats
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/EduardoArle/bRacatus
BugReports: https://github.com/EduardoArle/bRacatus/issues
LazyData: true
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-05-03 07:52:01 UTC; carloseduardoaribeiro
Author: Eduardo Arle [aut, cre], Alexander Zizka [aut], Patrick Weigelt [ctb], Sam Levin [ctb], Carsten Meyer [ths]
Maintainer: Eduardo Arle <eduardoarle@tauex.tau.ac.il>
Repository: CRAN
Date/Publication: 2024-05-03 13:30:02 UTC

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New package streetscape with initial version 1.0.0
Package: streetscape
Title: Collect And Investigate Street Views For Urban Science
Version: 1.0.0
Description: A collection of functions to search and download street view imagery ('Mapilary' <https://www.mapillary.com/developer/api-documentation>) and to extract, quantify, and visualize visual features. Moreover, there are functions provided to generate Qualtrics survey in TXT format using the collection of street views for various research purposes.
License: GPL-3
Depends: R (>= 4.1)
Language: en_GB
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: rlang, methods, dplyr, sf, sp, httr, reticulate, osmdata, quickPWCR, mapview, SuperpixelImageSegmentation, OpenImageR, pbmcapply, parallelly
NeedsCompilation: no
Packaged: 2024-05-02 19:13:16 UTC; yangxiaohao
Author: Xiaohao Yang [aut, cre, cph], Derek Van Berkel [aut], Mark Lindquist [aut]
Maintainer: Xiaohao Yang <xiaohaoy@umich.edu>
Repository: CRAN
Date/Publication: 2024-05-03 13:00:03 UTC

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New package reflectR with initial version 2.0.2
Package: reflectR
Title: Automatic Scoring of the Cognitive Reflection Test
Version: 2.0.2
Imports: stringr
Description: A tool for researchers and psychologists to automatically code open-ended responses to the Cognitive Reflection Test (CRT), a widely used class of tests in cognitive science and psychology for assessing an individual's propensity to override an incorrect gut response and engage in further reflection to find a correct answer. This package facilitates the standardization of Cognitive Reflection Test responses analysis across large datasets in cognitive psychology, decision-making, and related fields. By automating the coding process, it not only reduces manual effort but also aims to reduce the variability introduced by subjective interpretation of open-ended responses, contributing to a more consistent and reliable analysis. 'reflectR' supports automatic coding and machine scoring for the original English-language version of CRT (Frederick, 2005) <doi:10.1257/089533005775196732>, as well as for CRT4 and CRT7, 4- and 7-item versions, respectively (Toplak et al., 2014) <doi:10.10 [...truncated...]
URL: https://github.com/g-corbelli/reflectR
BugReports: https://github.com/g-corbelli/reflectR/issues
License: GPL-3
Encoding: UTF-8
Suggests: spelling
Language: en-US
NeedsCompilation: no
Author: Giuseppe Corbelli [aut, cre]
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uninettunouniversity.net>
Packaged: 2024-05-02 20:57:26 UTC; GC
Repository: CRAN
Date/Publication: 2024-05-03 13:00:06 UTC

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New package loggit2 with initial version 2.2.2
Package: loggit2
Title: Easy-to-Use, Dependencyless Logger
Description: An easy-to-use 'ndjson' (newline-delimited 'JSON') logger. It provides a set of wrappings for base R's message(), warning(), and stop() functions that maintain identical functionality, but also log the handler message to an 'ndjson' log file. No change in existing code is necessary to use this package, and should only require additions to fully leverage the power of the logging system.
Version: 2.2.2
License: MIT + file LICENSE
Depends: R (>= 3.4.0)
Suggests: knitr (>= 1.19), rmarkdown (>= 1.8), testthat (>= 3.0.0)
URL: https://github.com/MEO265/loggit2
BugReports: https://github.com/MEO265/loggit2/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-02 17:02:54 UTC; Matthias
Author: Matthias Ollech [cre, aut], Ryan Price [fnd, aut]
Maintainer: Matthias Ollech <ollech@gmx.com>
Repository: CRAN
Date/Publication: 2024-05-03 12:30:06 UTC

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New package linelistBayes with initial version 1.0
Package: linelistBayes
Title: Bayesian Analysis of Epidemic Data Using Line List and Case Count Approaches
Version: 1.0
Date: 2024-04-30
Maintainer: Chad Milando <cmilando@bu.edu>
Description: Provides tools for performing Bayesian inference on epidemiological data to estimate the time-varying reproductive number and other related metrics. These methods were published in Li and White (2021) <doi:10.1371/journal.pcbi.1009210>. This package supports analyses based on aggregated case count data and individual line list data, facilitating enhanced surveillance and intervention planning for infectious diseases like COVID-19.
License: GPL-3
Imports: Rcpp (>= 1.0.11), magrittr, lubridate, coda, dplyr
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 2.10)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-05-02 20:34:54 UTC; cwm
Author: Chad Milando [aut, cre], Tenglong Li [ctb], Laura White [ctb]
Repository: CRAN
Date/Publication: 2024-05-03 13:00:10 UTC

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New package ablasso with initial version 1.0
Package: ablasso
Title: Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models
Version: 1.0
Maintainer: Junyu Chen <junyu.chen@outlook.de>
Description: Implements the Arellano-Bond estimation method combined with LASSO for dynamic linear panel models. See Chernozhukov et al. (2024) "Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models". arXiv preprint <doi:10.48550/arXiv.2402.00584>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: hdm, matrixStats, mvtnorm, stats
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-02 20:33:33 UTC; junyuchen
Author: Victor Chernozhukov [aut], Ivan Fernandez-Val [aut], Chen Huang [aut], Weining Wang [aut], Junyu Chen [cre]
Repository: CRAN
Date/Publication: 2024-05-03 13:00:13 UTC

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Thu, 02 May 2024

New package rmdl with initial version 0.1.0
Package: rmdl
Title: Language to Manage Many Models
Version: 0.1.0
Description: A system for describing and manipulating the many models that are generated in causal inference and data analysis projects, as based on the causal theory and criteria of Austin Bradford Hill (1965) <doi:10.1177/003591576505800503>. This system includes the addition of formal attributes that modify base `R` objects, including terms and formulas, with a focus on variable roles in the "do-calculus" of modeling, as described in Pearl (2010) <doi:10.2202/1557-4679.1203>. For example, the definition of exposure, outcome, and interaction are implicit in the roles variables take in a formula. These premises allow for a more fluent modeling approach focusing on variable relationships, and assessing effect modification, as described by VanderWeele and Robins (2007) <doi:10.1097/EDE.0b013e318127181b>. The essential goal is to help contextualize formulas and models in causality-oriented workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0), vctrs (>= 0.5.0), tibble (>= 3.0.0),
Imports: stats, utils, generics, methods, dplyr, broom, tidyr, rlang, pillar, purrr, janitor
Suggests: testthat (>= 3.0.0), covr, cli, rmarkdown, knitr, ggplot2, gt, survival, cmprsk, tidycmprsk
VignetteBuilder: knitr
URL: https://github.com/shah-in-boots/rmdl
BugReports: https://github.com/shah-in-boots/rmdl/issues
NeedsCompilation: no
Packaged: 2024-05-02 16:48:30 UTC; asshah4
Author: Anish S. Shah [aut, cre, cph]
Maintainer: Anish S. Shah <ashah282@uic.edu>
Repository: CRAN
Date/Publication: 2024-05-02 22:20:02 UTC

More information about rmdl at CRAN
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New package filibustr with initial version 0.2.1
Package: filibustr
Title: Data Utilities for Congressional Research
Version: 0.2.1
Description: Provides easy-to-understand and consistent interfaces for accessing data on the U.S. Congress. The functions in 'filibustr' streamline the process for importing data on Congress into R, removing the need to download and work from CSV files and the like. Data sources include 'Voteview' (<https://voteview.com/>), the U.S. Senate website (<https://www.senate.gov/>), and more.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: crul, dplyr, haven, httr2, lifecycle, R.utils, readr, rlang, rvest, stringr, tidyr, tidyselect
URL: https://github.com/feinleib/filibustr
BugReports: https://github.com/feinleib/filibustr/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-04-25 05:11:36 UTC; mhfeinleib
Author: Max Feinleib [aut, cre, cph]
Maintainer: Max Feinleib <mhfeinleib@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-02 16:22:37 UTC

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New package symbolicQspray with initial version 1.0.0
Package: symbolicQspray
Title: Multivariate Polynomials with Symbolic Parameters in their Coefficients
Version: 1.0.0
Description: Introduces the 'symbolicQspray' objects. Such an object represents a multivariate polynomial whose coefficients are fractions of multivariate polynomials with rational coefficients. The package allows arithmetic on such polynomials. It is based on the 'qspray' and 'ratioOfQsprays' packages. Some functions for 'qspray' polynomials have their counterpart for 'symbolicQspray' polynomials. A 'symbolicQspray' polynomial should not be seen as a polynomial on the field of fractions of rational polynomials, but should rather be seen as a polynomial with rational coefficients depending on some parameters, symbolically represented, with a dependence given by fractions of rational polynomials.
License: GPL-3
URL: https://github.com/stla/symbolicQspray
BugReports: https://github.com/stla/symbolicQspray/issues
Depends: qspray (>= 3.0.0), ratioOfQsprays
Imports: gmp, methods, Rcpp, utils
Suggests: testthat (>= 3.0.0)
LinkingTo: BH, qspray, ratioOfQsprays, Rcpp, RcppArmadillo, RcppCGAL
Encoding: UTF-8
SystemRequirements: C++17, gmp, mpfr
NeedsCompilation: yes
Packaged: 2024-05-01 05:15:19 UTC; SDL96354
Author: Stephane Laurent [aut, cre]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2024-05-02 16:00:02 UTC

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New package RAZIAD with initial version 0.0.1
Package: RAZIAD
Title: Regression Analysis of Zero-Inflated and Zero-Altered(Hurdle) Data
Version: 0.0.1
Maintainer: Niloufar Dousti Mousavi <niloufar.dousti@gmail.com>
Description: It performs regression analysis for zero-inflated and zero-altered data, enabling modeling of sparse response variable distributions and assessing their association with covariates. It computes Maximum Likelihood Estimates (MLE) and conducts model selection using AIC and BIC criteria. Additionally, it calculates Fisher Information, confidence intervals, standard errors, and z-scores for all model parameters.
Encoding: UTF-8
Imports: Matrix, extraDistr, stats
Depends: R (>= 4.3.1.0)
LazyData: true
Suggests: testthat (>= 3.0.0)
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2024-05-01 19:29:45 UTC; nilouimac
Author: Niloufar Dousti Mousavi [aut, cre, cph], Hani Aldirawi [aut, cph], Donald Hedeker [aut, cph], Jie Yang [aut, cph]
Repository: CRAN
Date/Publication: 2024-05-02 15:12:43 UTC

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New package ollamar with initial version 1.1.1
Package: ollamar
Title: 'Ollama' Language Models
Version: 1.1.1
Description: An interface to easily run local language models with 'Ollama' <https://ollama.com> server and API endpoints (see <https://github.com/ollama/ollama/blob/main/docs/api.md> for details). It lets you run open-source large language models locally on your machine.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: glue, httr2, jsonlite, tibble
BugReports: https://github.com/hauselin/ollama-r/issues
URL: https://hauselin.github.io/ollama-r/, https://github.com/hauselin/ollama-r
NeedsCompilation: no
Packaged: 2024-05-02 01:09:48 UTC; hause
Author: Hause Lin [aut, cre, cph]
Maintainer: Hause Lin <hauselin@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-02 15:12:40 UTC

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New package lancor with initial version 0.1.2
Package: lancor
Title: Statistical Inference via Lancaster Correlation
Version: 0.1.2
Description: Implementation of the methods described in Holzmann, Klar (2024) <doi:10.48550/arXiv.2303.17872>. Lancaster correlation is a correlation coefficient which equals the absolute value of the Pearson correlation for the bivariate normal distribution, and is equal to or slightly less than the maximum correlation coefficient for a variety of bivariate distributions. Rank and moment-based estimators and corresponding confidence intervals are implemented, as well as independence tests based on these statistics.
Imports: acepack, arrangements, boot, graphics, sn, stats
License: GPL-2
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-05-02 06:52:25 UTC; Klar
Author: Bernhard Klar [aut, cre] , Hajo Holzmann [aut]
Maintainer: Bernhard Klar <bernhard.klar@kit.edu>
Repository: CRAN
Date/Publication: 2024-05-02 15:22:42 UTC

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New package FAOSTAT with initial version 2.3.1
Package: FAOSTAT
Title: Download Data from the FAOSTAT Database
Version: 2.3.1
Date: 2024-05-02
Author: Michael C. J., Markus Gesmann, Filippo Gheri, Paul Rougieux <paul.rougieux@gmail.com>, Sebastian Campbell
Maintainer: Paul Rougieux <paul.rougieux@gmail.com>
Description: Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations. A list of functions to download statistics from FAOSTAT (database of the FAO <https://www.fao.org/faostat/>) and WDI (database of the World Bank <https://data.worldbank.org/>), and to perform some harmonization operations.
URL: https://gitlab.com/paulrougieux/faostatpackage
BugReports: https://gitlab.com/paulrougieux/faostatpackage/-/issues
Imports: RJSONIO (>= 0.96-0), plyr (>= 1.7.1), data.table (>= 1.8.2), MASS (>= 7.3-22), classInt (>= 0.1-19), labeling (>= 0.1), httr (>= 1.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: yes
ZipData: no
VignetteBuilder: knitr
Suggests: knitr, testthat
NeedsCompilation: no
Packaged: 2024-05-02 14:16:54 UTC; paul
Repository: CRAN
Date/Publication: 2024-05-02 15:22:45 UTC

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New package DiscreteTests with initial version 0.1.1
Package: DiscreteTests
Title: Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests
Version: 0.1.1
Date: 2024-05-02
Description: Provides vectorised functions for computing p-values of various common discrete statistical tests as described e.g. in Agresti (2002) <doi:10.1002/0471249688>. Exact and approximate computation methods are provided. For exact p-values, several procedures of determining two-sided p-values are included, which are outlined in more detail in Hirji (2006) <doi:10.1201/9781420036190>.
License: GPL-3
Encoding: UTF-8
Language: en-GB
Imports: R6, checkmate
URL: https://github.com/DISOhda/DiscreteTests
BugReports: https://github.com/DISOhda/DiscreteTests/issues
NeedsCompilation: no
Packaged: 2024-05-02 07:11:35 UTC; Florian Junge
Author: Florian Junge [cre, aut], Christina Kihn [aut], Sebastian Doehler [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>
Repository: CRAN
Date/Publication: 2024-05-02 15:22:49 UTC

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New package crm12Comb with initial version 0.1.3
Package: crm12Comb
Title: Phase I/II CRM Based Drug Combination Design
Version: 0.1.3
Maintainer: Junying Wang <junying.wang@stonybrook.edu>
Description: Implements the adaptive designs for integrated phase I/II trials of drug combinations via continual reassessment method (CRM) to evaluate toxicity and efficacy simultaneously for each enrolled patient cohort based on Bayesian inference. It supports patients assignment guidance in a single trial using current enrolled data, as well as conducting extensive simulation studies to evaluate operating characteristics before the trial starts. It includes various link functions such as empiric, one-parameter logistic, two-parameter logistic, and hyperbolic tangent, as well as considering multiple prior distributions of the parameters like normal distribution, gamma distribution and exponential distribution to accommodate diverse clinical scenarios. Method using Bayesian framework with empiric link function is described in: Wages and Conaway (2014) <doi:10.1002/sim.6097>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Imports: dplyr, ggplot2, ggforce
Suggests: knitr, rmarkdown
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-05-02 14:40:13 UTC; junyingwang
Author: Junying Wang [cre, aut], Song Wu [aut], Jie Yang [aut]
Repository: CRAN
Date/Publication: 2024-05-02 15:52:43 UTC

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New package panstarrs with initial version 0.2.2
Package: panstarrs
Title: Interface to the Pan-STARRS API
Version: 0.2.2
Description: An interface to the API for 'Pan-STARRS1', a data archive of the PS1 wide-field astronomical survey. The package allows access to the PS1 catalog and to the PS1 images. (see <https://outerspace.stsci.edu/display/PANSTARRS/> for more information). You can use it to plan astronomical observations, make guidance pictures, find magnitudes in five broadband filters (g, r, i, z, y) and more.
License: MIT + file LICENSE
URL: https://uskovgs.github.io/PanSTARRS/
BugReports: https://github.com/uskovgs/PanSTARRS/issues
Depends: R (>= 3.5)
Imports: bit64, checkmate, curl, data.table, httr, jsonlite
Suggests: dplyr, knitr, magick, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-02 13:43:54 UTC; uskov
Author: Grigory Uskov [cre, aut]
Maintainer: Grigory Uskov <uskov.russia@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-02 14:02:37 UTC

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New package cvasi with initial version 0.10.4
Package: cvasi
Title: Calibration, Validation, and Simulation of TKTD Models
Version: 0.10.4
Description: Eases the use of ecotoxicological effect models. Can simulate common toxicokinetic-toxicodynamic (TK/TD) models such as General Unified Threshold models of Survival (GUTS) and Lemna. It can derive effects and effect profiles (EPx) from scenarios. It supports the use of 'tidyr' workflows employing the pipe symbol. Time-consuming tasks can be parallelized.
URL: https://github.com/cvasi-tktd/cvasi
BugReports: https://github.com/cvasi-tktd/cvasi/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: cli, glue, rlang, stringr, dplyr, tibble, purrr, furrr, tidyr, magrittr, utils, stats, methods, grid, ggplot2, deSolve, lubridate, attempt, units
Suggests: future, testthat, morse, knitr, rmarkdown, lemna, roxyglobals, rjags
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-05-01 07:15:43 UTC; ENCAZ
Author: Nils Kehrein [aut, cre], Dirk Nickisch [aut], Johannes Witt [ctb], Andre Gergs [ctb]
Maintainer: Nils Kehrein <nils.kehrein@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-02 14:42:51 UTC

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New package rsocialwatcher with initial version 0.1.0
Package: rsocialwatcher
Title: 'Facebook Marketing API' Social Watcher
Version: 0.1.0
Description: Facilitates querying data from the ‘Facebook Marketing API', particularly for social science research <https://developers.facebook.com/docs/marketing-apis/>. Data from the 'Facebook Marketing API' has been used for a variety of social science applications, such as for poverty estimation (Marty and Duhaut (2024) <doi:10.1038/s41598-023-49564-6>), disease surveillance (Araujo et al. (2017) <doi:10.48550/arXiv.1705.04045>), and measuring migration (Alexander, Polimis, and Zagheni (2020) <doi:10.1007/s11113-020-09599-3>). The package facilitates querying the number of Facebook daily/monthly active users for multiple location types (e.g., from around a specific coordinate to an administrative region) and for a number of attribute types (e.g., interests, behaviors, education level, etc). The package supports making complex queries within one API call and making multiple API calls across different locations and/or parameters.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://worldbank.github.io/rsocialwatcher/
BugReports: https://github.com/worldbank/rsocialwatcher/issues
Suggests: knitr, rmarkdown
Imports: dplyr, lubridate, jsonlite, httr, curl, stringr, splitstackshape, sf, purrr
NeedsCompilation: no
Packaged: 2024-05-01 01:26:08 UTC; robmarty
Author: Robert Marty [aut, cre]
Maintainer: Robert Marty <rmarty@worldbank.org>
Repository: CRAN
Date/Publication: 2024-05-02 13:10:02 UTC

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New package RcppBlaze with initial version 1.0.0
Package: RcppBlaze
Title: 'Rcpp' Integration for the 'Blaze' High-Performance 'C++' Math Library
Version: 1.0.0
Date: 2024-04-27
Maintainer: Ching-Chuan Chen <zw12356@gmail.com>
URL: https://github.com/Chingchuan-chen/RcppBlaze, https://bitbucket.org/blaze-lib/blaze
BugReports: https://github.com/Chingchuan-chen/RcppBlaze/issues
Description: Blaze is an open-source, high-performance 'C++' math library for dense and sparse arithmetic. With its state-of-the-art Smart Expression Template implementation Blaze combines the elegance and ease of use of a domain-specific language with HPC-grade performance, making it one of the most intuitive and fastest 'C++' math libraries available. The 'RcppBlaze' package includes the header files from the 'Blaze' library with disabling some functionalities related to link to the thread and system libraries which make 'RcppBlaze' be a header-only library. Therefore, users do not need to install 'Blaze'.
Depends: R (>= 4.2.0)
Imports: Rcpp (>= 1.0.0), Matrix (>= 1.5-0)
LinkingTo: Rcpp
Suggests: MatrixExtra, microbenchmark, tinytest, pkgKitten
LazyLoad: yes
Encoding: UTF-8
License: BSD_3_clause + file LICENSE
NeedsCompilation: yes
Packaged: 2024-04-30 12:06:16 UTC; root
Author: Ching-Chuan Chen [aut, cre, ctr] , Klaus Iglberger [aut] , Georg Georg [aut] , Tobias Scharpff [aut]
Repository: CRAN
Date/Publication: 2024-05-02 13:12:42 UTC

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New package healthequal with initial version 1.0.0
Package: healthequal
Title: Compute Summary Measures of Health Inequality
Version: 1.0.0
Description: Compute 21 summary measures of health inequality and its corresponding confidence intervals for ordered and non-ordered dimensions using disaggregated data. Measures for ordered dimensions (e.g., Slope Index of Inequality, Absolute Concentration Index) also accept individual and survey data.
License: AGPL (>= 3)
URL: https://github.com/WHOequity/healthequal, https://whoequity.github.io/healthequal/
BugReports: https://github.com/WHOequity/healthequal/issues
Depends: R (>= 3.5.0)
Imports: dplyr, emmeans, marginaleffects, rlang, srvyr, survey
Suggests: bookdown, knitr, rmarkdown, sandwich, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-01 08:52:16 UTC; kirkbyk
Author: Daniel A. Antiporta [aut] , Patricia Menendez [aut] , Katherine Kirkby [aut, cre] , Ahmad Hosseinpoor [aut] , World Health Organization [cph]
Maintainer: Katherine Kirkby <kirkbyk@who.int>
Repository: CRAN
Date/Publication: 2024-05-02 13:22:38 UTC

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New package BMconcor with initial version 2.0.0
Package: BMconcor
Title: CONCOR for Structural- And Regular-Equivalence Blockmodeling
Version: 2.0.0
Description: The four functions svdcp() ('cp' for column partitioned), svdbip() or svdbip2() ('bip' for bipartitioned), and svdbips() ('s' for a simultaneous optimization of a set of 'r' solutions), correspond to a singular value decomposition (SVD) by blocks notion, by supposing each block depending on relative subspaces, rather than on two whole spaces as usual SVD does. The other functions, based on this notion, are relative to two column partitioned data matrices x and y defining two sets of subsets x_i and y_j of variables and amount to estimate a link between x_i and y_j for the pair (x_i, y_j) relatively to the links associated to all the other pairs. These methods were first presented in: Lafosse R. & Hanafi M.,(1997) <https://eudml.org/doc/106424> and Hanafi M. & Lafosse, R. (2001) <https://eudml.org/doc/106494>.
License: GPL (>= 3)
URL: https://fatelarico.github.io/BMconcor/
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-01 09:32:49 UTC; fabio
Author: Roger Lafosse [aut], Fabio Ashtar Telarico [cre, aut]
Maintainer: Fabio Ashtar Telarico <Fabio-Ashtar.Telarico@fdv.uni-lj.si>
Repository: CRAN
Date/Publication: 2024-05-02 13:22:42 UTC

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New package RobinCar with initial version 0.2.0
Package: RobinCar
Title: Robust Estimation and Inference in Covariate-Adaptive Randomization
Version: 0.2.0
Description: Performs robust estimation and inference when using covariate adjustment and/or covariate-adaptive randomization in randomized controlled trials. Ting Ye, Jun Shao, Yanyao Yi, Qinyuan Zhao (2023) <doi:10.1080/01621459.2022.2049278>. Ting Ye, Marlena Bannick, Yanyao Yi, Jun Shao (2023) <doi:10.1080/24754269.2023.2205802>. Ting Ye, Jun Shao, Yanyao Yi (2023) <doi:10.1093/biomet/asad045>. Marlena Bannick, Jun Shao, Jingyi Liu, Yu Du, Yanyao Yi, Ting Ye (2024) <doi:10.48550/arXiv.2306.10213>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, magrittr, tidyr, emulator, numDeriv, tidyverse, stats, rlang, survival, fastDummies, data.table, broom, SuperLearner, AIPW, MASS
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, ranger, forcats, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-04-30 21:33:26 UTC; marlena
Author: Marlena Bannick [cre, aut] , Ting Ye [aut], Yanyao Yi [aut], Faith Bian [aut]
Maintainer: Marlena Bannick <mnorwood@uw.edu>
Repository: CRAN
Date/Publication: 2024-05-02 12:52:55 UTC

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Wed, 01 May 2024

New package AZIAD with initial version 0.0.3
Package: AZIAD
Title: Analyzing Zero-Inflated and Zero-Altered Data
Version: 0.0.3
Maintainer: Niloufar Dousti Mousavi <niloufar.dousti@gmail.com>
Description: Description: Computes maximum likelihood estimates of general, zero-inflated, and zero-altered models for discrete and continuous distributions. It also performs Kolmogorov-Smirnov (KS) tests and likelihood ratio tests for general, zero-inflated, and zero-altered data. Additionally, it obtains the inverse of the Fisher information matrix and confidence intervals for the parameters of general, zero-inflated, and zero-altered models. The package simulates random deviates from zero-inflated or hurdle models to obtain maximum likelihood estimates. Based on the work of Aldirawi et al. (2022) <doi:10.1007/s42519-021-00230-y> and Dousti Mousavi et al. (2023) <doi:10.1080/00949655.2023.2207020>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: extraDistr (>= 1.9.1), methods (>= 4.0.3), foreach (>= 1.5.2), doParallel (>= 1.0.16), parallel (>= 4.1.2), QRM(>= 0.3-31), stats (>= 4.1.2), corpcor (>= 1.6.10), base(>= 4.1.2), EnvStats(>= 2.6.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2024-05-01 16:17:16 UTC; nilouimac
Author: Niloufar Dousti Mousavi [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang [aut, cph]
Suggests: testthat (>= 3.0.0)
Repository: CRAN
Date/Publication: 2024-05-01 23:24:59 UTC

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New package TSEAL with initial version 0.1.2
Package: TSEAL
Title: Time Series Analysis Library
Version: 0.1.2
Description: The library allows to perform a multivariate time series classification based on the use of Discrete Wavelet Transform for feature extraction, a step wise discriminant to select the most relevant features and finally, the use of a linear or quadratic discriminant for classification. Note that all these steps can be done separately which allows to implement new steps. Velasco, I., Sipols, A., de Blas, C. S., Pastor, L., & Bayona, S. (2023) <doi:10.1186/S12938-023-01079-X>. Percival, D. B., & Walden, A. T. (2000,ISBN:0521640687). Maharaj, E. A., & Alonso, A. M. (2014) <doi:10.1016/j.csda.2013.09.006>.
License: Artistic-2.0
URL: https://github.com/vg-lab/TSEAL
BugReports: https://github.com/vg-lab/TSEAL/issues
Depends: R (>= 4.3.0)
Imports: bigmemory, caret, checkmate, magrittr, MASS, methods, parallel, parallelly, pryr, statcomp, stats, synchronicity, utils, waveslim, wdm
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-04-30 12:58:17 UTC; ivan_
Author: Ivan Velasco [aut, cre, cph]
Maintainer: Ivan Velasco <ivan.velasco@urjc.es>
Repository: CRAN
Date/Publication: 2024-05-01 18:42:17 UTC

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New package SCtools with initial version 0.3.3
Package: SCtools
Title: Extensions for Synthetic Controls Analysis
Version: 0.3.3
Date: 2024-04-26
Description: Extends the functionality of the package 'Synth' as detailed in Abadie, Diamond, and Hainmueller (2011) <doi:10.18637/jss.v042.i13>. Includes generating and plotting placebos, post/pre-MSPE (Mean Squared Prediction Error) significance tests and plots, and calculating average treatment effects for multiple treated units.
BugReports: https://github.com/bcastanho/SCtools/issues
Maintainer: Bruno Castanho Silva <b.paula.castanho.e.silva@fu-berlin.de>
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5), future (>= 1.6.2)
Imports: ggplot2, Synth, stringr, stats, cvTools, furrr, dplyr, purrr, tidyr, magrittr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-30 12:17:49 UTC; brno
Author: Bruno Castanho Silva [aut, cre] , Michael DeWitt [aut]
Repository: CRAN
Date/Publication: 2024-05-01 18:32:15 UTC

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New package rifreg with initial version 0.1.0
Package: rifreg
Title: Estimate Recentered Influence Function Regression
Version: 0.1.0
Maintainer: Samuel Meier <samuel.meier+cran@immerda.ch>
Description: Provides functions to compute recentered influence functions (RIF) of a distributional variable at the mean, quantiles, variance, gini or any custom functional of interest. The package allows to regress the RIF on any number of covariates. Generic print, plot and summary functions are also provided. Reference: Firpo, Sergio, Nicole M. Fortin, and Thomas Lemieux. (2009) <doi:10.3982/ECTA6822>. "Unconditional Quantile Regressions.".
License: GPL (>= 3)
Depends: ggplot2, R (>= 2.10)
Imports: Formula, Hmisc, methods, parallel, pbapply, sandwich, stats
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-04-30 12:57:59 UTC; tercy
Author: David Gallusser [aut], Samuel Meier [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-01 18:42:07 UTC

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New package mtarm with initial version 0.1.0
Package: mtarm
Title: Bayesian Estimation of Multivariate Threshold Autoregressive Models
Version: 0.1.0
Author: Luis Hernando Vanegas [aut, cre], Sergio Alejandro Calderon [aut], Luz Marina Rondon [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp@unal.edu.co>
Description: Estimation, inference and forecasting using the Bayesian approach for multivariate threshold autoregressive (TAR) models in which the distribution used to describe the noise process belongs to the class of Gaussian variance mixtures.
Imports: methods, stats, utils, graphics, Formula, grDevices, GIGrvg, coda
BugReports: https://github.com/lhvanegasp/mtar/issues
Encoding: UTF-8
LazyData: false
NeedsCompilation: no
License: GPL-2 | GPL-3
Packaged: 2024-04-30 13:32:49 UTC; 57312
Repository: CRAN
Date/Publication: 2024-05-01 18:42:10 UTC

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New package forensicolors with initial version 1.0.0
Package: forensicolors
Title: Forensic Colors
Version: 1.0.0
Description: Computes likelihood ratios based on pigmentation traits. Also, it allows computing conditional probabilities for unidentified individuals based on missing person characteristics. A set of tailored plots are incorporated to analyze likelihood ratio distributions.
License: GPL (>= 3)
Encoding: UTF-8
Imports: forrel, pedtools, plotly, dplyr, ggplot2
URL: https://github.com/MarsicoFL/forensicolors
BugReports: https://github.com/MarsicoFL/forensicolors/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-04-30 12:25:14 UTC; franco
Author: Franco Marsico [aut, cre], Thore Egeland [aut]
Maintainer: Franco Marsico <franco.lmarsico@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-01 18:32:12 UTC

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New package FeatureExtraction with initial version 3.5.2
Package: FeatureExtraction
Title: Generating Features for a Cohort
Version: 3.5.2
Date: 2024-04-24
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>
Description: An R interface for generating features for a cohort using data in the Common Data Model. Features can be constructed using default or custom made feature definitions. Furthermore it's possible to aggregate features and get the summary statistics.
Depends: R (>= 3.5.0), DatabaseConnector (>= 3.0.0), Andromeda
Imports: methods, dplyr, rJava, jsonlite, SqlRender (>= 1.6.0), ParallelLogger (>= 2.0.2), cli, pillar, readr, rlang, RSQLite, DBI, checkmate
Suggests: testthat, knitr, rmarkdown, Eunomia (>= 2.0.0), withr, curl, httr
License: Apache License 2.0
VignetteBuilder: knitr
URL: https://github.com/OHDSI/FeatureExtraction
BugReports: https://github.com/OHDSI/FeatureExtraction/issues
NeedsCompilation: no
Encoding: UTF-8
Language: en-US
Packaged: 2024-04-30 18:12:51 UTC; ginberg
Author: Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Jenna Reps [aut], Anthony Sena [aut], Ger Inberg [aut, cre], Observational Health Data Science and Informatics [cph]
Repository: CRAN
Date/Publication: 2024-05-01 18:54:41 UTC

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New package vein with initial version 1.1.3
Package: vein
Title: Vehicular Emissions Inventories
Version: 1.1.3
Date: 2024-04-30
Description: Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>. Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the project to download a template to create a structure of directories and scripts.
License: MIT + file LICENSE
URL: https://github.com/atmoschem/vein
BugReports: https://github.com/atmoschem/vein/issues
LazyData: no
Depends: R (>= 3.5.0)
Imports: sf (>= 1.0.1), data.table, units, graphics, stats, dotCall64, cptcity, grDevices
Suggests: knitr, rmarkdown, testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-05-01 04:18:01 UTC; sergio
VignetteBuilder: knitr
Author: Sergio Ibarra-Espinosa [aut, cre] , Daniel Schuch [ctb] , Joao Bazzo [ctb] , Mario Gavidia-Calderon [ctb] , Karl Ropkins [ctb]
Maintainer: Sergio Ibarra-Espinosa <zergioibarra@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-01 13:50:02 UTC

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Tue, 30 Apr 2024

New package stackgbm with initial version 0.1.0
Package: stackgbm
Title: Stacked Gradient Boosting Machines
Version: 0.1.0
Description: A minimalist implementation of model stacking by Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> for boosted tree models. A classic, two-layer stacking model is implemented, where the first layer generates features using gradient boosting trees, and the second layer employs a logistic regression model that uses these features as inputs. Utilities for training the base models and parameters tuning are provided, allowing users to experiment with different ensemble configurations easily. It aims to provide a simple and efficient way to combine multiple gradient boosting models to improve predictive model performance and robustness.
License: MIT + file LICENSE
URL: https://nanx.me/stackgbm/, https://github.com/nanxstats/stackgbm
BugReports: https://github.com/nanxstats/stackgbm/issues
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: pROC, progress, rlang
Suggests: knitr, lightgbm, msaenet, rmarkdown, xgboost
NeedsCompilation: no
Packaged: 2024-04-29 04:16:05 UTC; nanx
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2024-04-30 11:20:02 UTC

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New package ShapDoE with initial version 1.0.0
Package: ShapDoE
Title: Approximation of the Shapley Values Based on Experimental Designs
Version: 1.0.0
Maintainer: Liuqing Yang <yliuqing0714@163.com>
Description: Estimating the Shapley values using the algorithm in the paper Liuqing Yang, Yongdao Zhou, Haoda Fu, Min-Qian Liu and Wei Zheng (2024) <doi:10.1080/01621459.2023.2257364> "Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs". You provide the data and define the value function, it retures the estimated Shapley values based on sampling methods or experimental designs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: gtools
NeedsCompilation: no
Packaged: 2024-04-29 12:28:44 UTC; lydia
Author: Liuqing Yang [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-30 11:42:47 UTC

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New package PPbigdata with initial version 1.0.0
Package: PPbigdata
Title: Projection Pursuit for Big Data Based on Data Nuggets
Version: 1.0.0
Date: 2024-4-1
Author: Yajie Duan [aut, cre], Javier Cabrera [aut]
Maintainer: Yajie Duan <yajieritaduan@gmail.com>
Description: Perform 1-dim/2-dim projection pursuit, grand tour and guided tour for big data based on data nuggets. Reference papers: [1] Beavers et al., (2024) <doi:10.1080/10618600.2024.2341896>. [2] Duan, Y., Cabrera, J., & Emir, B. (2023). "A New Projection Pursuit Index for Big Data." <doi:10.48550/arXiv.2312.06465>.
Depends: R (>= 4.0), stats, datanugget(>= 1.2.4), MASS
Imports: dplyr, magrittr, weights, rstiefel, gtools, tourr, mclust, graphics, grDevices
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-29 20:06:43 UTC; yd254
Repository: CRAN
Date/Publication: 2024-04-30 11:42:50 UTC

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New package petersenlab with initial version 1.0.0
Package: petersenlab
Title: A Collection of R Functions by the Petersen Lab
Version: 1.0.0
Maintainer: Isaac T. Petersen <isaac-t-petersen@uiowa.edu>
Depends: R (>= 4.1.0)
Imports: stats, graphics, utils, nlme, Hmisc, digest, dplyr, ggplot2, lavaan, mitools, mix, mvtnorm, psych, stringr, xtable, grDevices, plyr, reshape2, RColorBrewer, viridisLite, tidyselect, scales
Suggests: testthat (>= 3.0.0), waldo, withr
Description: A collection of R functions that are widely used by the Petersen Lab. Included are functions for various purposes, including evaluating the accuracy of judgments and predictions, performing scoring of assessments, generating correlation matrices, conversion of data between various types, data management, psychometric evaluation, extensions related to latent variable modeling, various plotting capabilities, and other miscellaneous useful functions. By making the package available, we hope to make our methods reproducible and replicable by others and to help others perform their data processing and analysis methods more easily and efficiently. The codebase is in <doi:10.5281/zenodo.7602890>. The package is described in Petersen (2024) <doi:10.1201/9781003357421>, <doi:10.5281/zenodo.6466590>.
URL: https://github.com/DevPsyLab/petersenlab, https://devpsylab.github.io/petersenlab/
BugReports: https://github.com/DevPsyLab/petersenlab/issues
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-28 22:13:14 UTC; Isaac
Author: Isaac T. Petersen [aut, cre] , Developmental Psychopathology Lab at the University of Iowa [ctb]
Repository: CRAN
Date/Publication: 2024-04-30 11:10:02 UTC

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New package KMLtoSHAPE with initial version 0.1.0
Package: KMLtoSHAPE
Title: Preserving Attribute Values: Converting KML to Shapefile
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: The developed function is designed to facilitate the seamless conversion of KML (Keyhole Markup Language) files to Shapefiles while preserving attribute values. It provides a straightforward interface for users to effortlessly import KML data, extract relevant attributes, and export them into the widely compatible Shapefile format. The package ensures accurate representation of spatial data while maintaining the integrity of associated attribute information. For details see, Flores, G. (2021). <DOI:10.1007/978-3-030-63665-4_15>. Whether for spatial analysis, visualization, or data interoperability, it simplifies the conversion process and empowers users to seamlessly work with geospatial datasets.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: raster,stringr,sf
NeedsCompilation: no
Packaged: 2024-04-29 07:24:40 UTC; Asus
Author: Nirmal Kumar [aut, cph], Nobin Chandra Paul [aut, cre]
Maintainer: Nobin Chandra Paul <nobin.paul@icar.gov.in>
Repository: CRAN
Date/Publication: 2024-04-30 11:20:05 UTC

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New package goat with initial version 1.0
Package: goat
Title: Gene Set Analysis Using the Gene Set Ordinal Association Test
Version: 1.0
Description: Perform gene set enrichment analyses using the Gene set Ordinal Association Test (GOAT) algorithm and visualize your results. Koopmans, F. (2024) <doi:10.1101/2023.12.10.570979>.
URL: https://github.com/ftwkoopmans/goat/
License: Apache License (>= 2)
Depends: R (>= 4.1.0), dplyr (>= 1.0.3)
Imports: tibble (>= 3.0.0), tidyselect (>= 1.2.0), tidyr (>= 1.1.2), data.table (>= 1.14.0), Matrix (>= 1.4-0), readxl (>= 1.4.1), writexl (>= 1.4.1), Rcpp (>= 1.0.9), vctrs (>= 0.3.8), MonoPoly (>= 0.3-10), ggplot2 (>= 3.3.0), pheatmap (>= 1.0.8), treemap (>= 2.4), igraph (>= 1.2.5), ggraph (>= 2.0.0)
Suggests: AnnotationDbi, GO.db, org.Hs.eg.db, fgsea, testthat (>= 3.0.0)
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Language: en-US
NeedsCompilation: yes
Packaged: 2024-04-28 22:29:53 UTC; Frank
Author: Frank Koopmans [aut, cre]
Maintainer: Frank Koopmans <ftwkoopmans@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-30 11:10:07 UTC

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New package BioCro with initial version 3.1.3
Package: BioCro
Version: 3.1.3
Date: 2024-04-22
Title: Modular Crop Growth Simulations
Description: A cross-platform representation of models as sets of equations that facilitates modularity in model building and allows users to harness modern techniques for numerical integration and data visualization. Documentation is provided by several vignettes included in this package; also see Lochocki et al. (2022) <doi:10.1093/insilicoplants/diac003>.
Depends: R (>= 3.6.0)
Imports: stats
Suggests: testthat (>= 3.2.0), knitr, rmarkdown, bookdown, lattice, deSolve
VignetteBuilder: knitr
SystemRequirements: C++11, GNU make
License: MIT + file LICENSE
LazyData: true
ByteCompile: TRUE
URL: https://github.com/biocro/biocro, https://biocro.github.io
NeedsCompilation: yes
Packaged: 2024-04-29 16:32:57 UTC; Justin
Author: Justin M. McGrath [cre, aut] , Edward B. Lochocki [aut] , Scott Rohde [aut] , Deepak Jaiswal [aut] , Megan L. Matthews [aut] , Fernando E. Miguez [aut] , Stephen P. Long [aut] , Dan Wang [ctb], David LeBauer [ctb] , BioCro authors [cph], Boost Organi [...truncated...]
Maintainer: Justin M. McGrath <jmcgrath@illinois.edu>
Repository: CRAN
Date/Publication: 2024-04-30 11:42:54 UTC

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New package scdtb with initial version 0.1.0
Package: scdtb
Title: Single Case Design Tools
Version: 0.1.0
Description: In some situations where researchers would like to demonstrate causal effects, it is hard to obtain a sample size that would allow for a well-powered randomized controlled trial. Single case designs are experimental designs that can be used to demonstrate causal effects with only one participant or with only a few participants. The 'scdtb' package provides a suite of tools for analyzing data from studies that use single case designs. The nap() function can be used to compute the nonoverlap of all pairs as outlined by the What Works Clearinghouse (2022) <https://ies.ed.gov/ncee/wwc/Handbooks>. The package also offers the mixed_model_analysis() and cross_lagged() functions which implement mixed effects models and cross lagged analyses as described in Maric & van der Werff (2020) <doi:10.4324/9780429273872-9>. The randomization_test() function implements randomization tests based on methods presented in Onghena (2020) <doi:10.4324/9780429273872-8>. The scdtb() 'shiny [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/mightymetrika/scdtb
BugReports: https://github.com/mightymetrika/scdtb/issues
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat (>= 3.0.0)
Imports: broom.mixed, DT, ggplot2, mmcards, nlme, shiny, shinythemes
NeedsCompilation: no
Packaged: 2024-04-28 16:11:06 UTC; Administrator
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-30 08:50:02 UTC

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New package sacRebleu with initial version 0.1.3
Package: sacRebleu
Title: Metrics for Assessing the Quality of Generated Text
Version: 0.1.3
Date: 2024-04-05
Description: Implementation of the BLEU-Score in 'C++' to evaluate the quality of generated text. The BLEU-Score, introduced by Papineni et al. (2002) <doi:10.3115/1073083.1073135>, is a metric for evaluating the quality of generated text. It is based on the n-gram overlap between the generated text and reference texts. Additionally, the package provides some smoothing methods as described in Chen and Cherry (2014) <doi:10.3115/v1/W14-3346>.
License: GPL (>= 2)
SystemRequirements: Rust tool chain w/ cargo, libclang/llvm-config
Depends: R (>= 4.2.0)
Imports: checkmate, Rcpp (>= 1.0.12), tok
LinkingTo: Rcpp
URL: https://github.com/LazerLambda/sacRebleu
BugReports: https://github.com/LazerLambda/sacRebleu/issues
Suggests: knitr, rmarkdown, hfhub, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2024-04-28 15:33:40 UTC; philko
Author: Philipp Koch [aut, cre]
Maintainer: Philipp Koch <PhillKoch@protonmail.com>
Repository: CRAN
Date/Publication: 2024-04-30 08:40:03 UTC

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New package ratioOfQsprays with initial version 1.0.0
Package: ratioOfQsprays
Title: Fractions of Multivariate Polynomials with Rational Coefficients
Version: 1.0.0
Description: Based on the 'qspray' package, this package introduces the new type 'ratioOfQsprays'. An object of type 'qspray' represents a multivariate polynomial with rational coefficients while an object of type 'ratioOfQsprays', defined by two 'qspray' objects, represents a fraction of two multivariate polynomials with rational coefficients. Arithmetic operations for these objects are available, and they always return irreducible fractions. Other features include: differentiation, evaluation, conversion to a function, and fine control of the way to print a 'ratioOfQsprays' object. The 'C++' library 'CGAL' is used to make the fractions irreducible.
License: GPL-3
URL: https://github.com/stla/ratioOfQsprays
BugReports: https://github.com/stla/ratioOfQsprays/issues
Depends: qspray (>= 3.0.0)
Imports: gmp, methods, Rcpp, Ryacas, utils
Suggests: testthat (>= 3.0.0)
LinkingTo: BH, qspray, Rcpp, RcppArmadillo, RcppCGAL
Encoding: UTF-8
SystemRequirements: C++17, gmp, mpfr
NeedsCompilation: yes
Packaged: 2024-04-28 18:53:36 UTC; SDL96354
Author: Stephane Laurent [aut, cre]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2024-04-30 09:00:02 UTC

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New package peacots with initial version 1.3.2
Package: peacots
Title: Periodogram Peaks in Correlated Time Series
Version: 1.3.2
Date: 2024-04-28
Description: Calculates the periodogram of a time series, maximum-likelihood fits an Ornstein-Uhlenbeck state space (OUSS) null model and evaluates the statistical significance of periodogram peaks against the OUSS null hypothesis. The OUSS is a parsimonious model for stochastically fluctuating variables with linear stabilizing forces, subject to uncorrelated measurement errors. Contrary to the classical white noise null model for detecting cyclicity, the OUSS model can account for temporal correlations typically occurring in ecological and geological time series. Citation: Louca, Stilianos and Doebeli, Michael (2015) <doi:10.1890/14-0126.1>.
License: GPL-3
Depends: stats,graphics
NeedsCompilation: no
Packaged: 2024-04-28 15:25:13 UTC; stilianoslouca
Author: Stilianos Louca [aut, cre, cph]
Maintainer: Stilianos Louca <louca.research@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-30 08:40:06 UTC

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New package karlen with initial version 0.0.2
Package: karlen
Title: Real-Time PCR Data Sets by Karlen et al. (2007)
Version: 0.0.2
Description: Real-time quantitative polymerase chain reaction (qPCR) data sets by Karlen et al. (2007) <doi:10.1186/1471-2105-8-131>. Provides one single tabular tidy data set in long format, encompassing 32 dilution series, for seven PCR targets and four biological samples. The targeted amplicons are within the murine genes: Cav1, Ccn2, Eln, Fn1, Rpl27, Hspg2, and Serpine1, respectively. Dilution series: scheme 1 (Cav1, Eln, Hspg2, Serpine1): 1-fold, 10-fold, 50-fold, and 100-fold; scheme 2 (Ccn2, Rpl27, Fn1): 1-fold, 10-fold, 50-fold, 100-fold and 1000-fold. For each concentration there are five replicates, except for the 1000-fold concentration, where only two replicates were performed. Each amplification curve is 40 cycles long. Original raw data file is Additional file 2 from "Statistical significance of quantitative PCR" by Y. Karlen, A. McNair, S. Perseguers, C. Mazza, and N. Mermod (2007) <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-8-131/MediaObjects/12859_20 [...truncated...]
License: CC BY 4.0
Encoding: UTF-8
Imports: tibble
Depends: R (>= 2.10)
LazyData: true
URL: https://rmagno.eu/karlen/, https://github.com/ramiromagno/karlen
BugReports: https://github.com/ramiromagno/karlen/issues
NeedsCompilation: no
Packaged: 2024-04-28 14:28:17 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2024-04-30 08:30:07 UTC

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New package freewall with initial version 1.0.0
Package: freewall
Title: A Wrapper of the JavaScript Library 'Freewall'
Version: 1.0.0
Description: Creates dynamic grid layouts of images that can be included in 'Shiny' applications and R markdown documents.
License: GPL-3
URL: https://github.com/stla/freewall
BugReports: https://github.com/stla/freewall/issues
Imports: htmlwidgets, htmltools, jquerylib
Suggests: shiny
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-28 15:33:08 UTC; SDL96354
Author: Stephane Laurent [aut, cre], Minh Nguyen [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2024-04-30 09:00:05 UTC

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New package dendroNetwork with initial version 0.5.4
Package: dendroNetwork
Title: Create Networks of Dendrochronological Series using Pairwise Similarity
Version: 0.5.4
Maintainer: Ronald Visser <r.m.visser@saxion.nl>
Depends: R (>= 4.1.0)
Imports: dplR (>= 1.7.2), igraph, stringr, reshape2, RCy3, dplyr, RColorBrewer, tidyr, foreach, lifecycle, doParallel, stats, grDevices
Description: Creating dendrochronological networks based on the similarity between tree-ring series or chronologies. The package includes various functions to compare tree-ring curves building upon the 'dplR' package. The networks can be used to visualise and understand the relations between tree-ring curves. These networks are also very useful to estimate the provenance of wood as described in Visser (2021) <DOI:10.5334/jcaa.79> or wood-use within a structure/context/site as described in Visser and Vorst (2022) <DOI:10.1163/27723194-bja10014>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), DiagrammeR
VignetteBuilder: knitr
URL: https://github.com/ropensci/dendroNetwork, https://ropensci.github.io/dendroNetwork/
BugReports: https://github.com/ropensci/dendroNetwork/issues
NeedsCompilation: no
Packaged: 2024-04-28 14:42:37 UTC; rvi04
Author: Ronald Visser [aut, cre] , Angelino Salentino [ctb] , Andy Bunn [ctb] , Kaija Gahm [rev] , Zachary Gajewski [rev]
Repository: CRAN
Date/Publication: 2024-04-30 08:40:10 UTC

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New package comorbidPGS with initial version 0.3.4
Package: comorbidPGS
Title: Assessing Predisposition Between Phenotypes using Polygenic Scores
Version: 0.3.4
Description: Using polygenic scores (PGS, or PRS/GRS for binary outcomes), this package allows to investigate shared predisposition between different conditions, and do fast association analysis, export plots and views of the PGS distribution using 'ggplot2' object.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, stats, utils, MASS, nnet, parallel
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-04-28 20:47:22 UTC; vpascat
Author: Vincent Pascat [aut, cre]
Maintainer: Vincent Pascat <vincent.pascat@univ-lille.fr>
Repository: CRAN
Date/Publication: 2024-04-30 09:00:08 UTC

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Sun, 28 Apr 2024

New package cwbtools with initial version 0.4.2
Package: cwbtools
Title: Tools to Create, Modify and Manage 'CWB' Corpora
Version: 0.4.2
Date: 2024-04-28
Description: The 'Corpus Workbench' ('CWB', <https://cwb.sourceforge.io/>) offers a classic and mature approach for working with large, linguistically and structurally annotated corpora. The 'CWB' is memory efficient and its design makes running queries fast, see Evert (2011) <https://eprints.lancs.ac.uk/id/eprint/62721>. The 'cwbtools' package offers pure 'R' tools to create indexed corpus files as well as high-level wrappers for the original 'C' implementation of 'CWB' as exposed by the 'RcppCWB' package (<https://CRAN.R-project.org/package=RcppCWB>). Additional functionality to add and modify annotations of corpora from within 'R' makes working with 'CWB' indexed corpora much more flexible and convenient. The 'cwbtools' package in combination with the 'R' packages 'RcppCWB' (<https://CRAN.R-project.org/package=RcppCWB>) and 'polmineR' (<https://CRAN.R-project.org/package=polmineR>) offers a lightweight infrastructure to support the combination of quantitative and qu [...truncated...]
Imports: data.table, R6, xml2, stringi, curl, RcppCWB (>= 0.6.3), pbapply, methods, tools, cli, jsonlite, httr, rstudioapi, zen4R (>= 0.9), lifecycle, fs
Suggests: tm (>= 0.7.3), knitr, markdown, tokenizers (>= 0.2.1), tidytext, SnowballC, janeaustenr, testthat, rmarkdown, aws.s3, quanteda, dplyr
VignetteBuilder: knitr
License: GPL-3
Language: en-US
Encoding: UTF-8
URL: https://github.com/PolMine/cwbtools
BugReports: https://github.com/PolMine/cwbtools/issues
NeedsCompilation: no
Packaged: 2024-04-28 21:23:42 UTC; andreasblatte
Author: Andreas Blaette [aut, cre], Christoph Leonhardt [aut]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>
Repository: CRAN
Date/Publication: 2024-04-28 22:20:06 UTC

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New package sisti with initial version 0.0.1
Package: sisti
Title: Real-Time PCR Data Sets by Sisti et al. (2010)
Version: 0.0.1
Description: This data package contains four datasets of quantitative PCR (qPCR) amplification curves that were used as supplementary data in the research article by Sisti et al. (2010), <doi:10.1186/1471-2105-11-186>. The primary dataset comprises a ten-fold dilution series spanning copy numbers from 3.14 × 10^7 to 3.14 × 10^2, with twelve replicates per concentration. These samples are based on a pGEM-T Promega plasmid containing a 104 bp fragment of the mitochondrial gene NADH dehydrogenase 1 (MT-ND1), amplified using the ND1/ND2 primer pair. The remaining three datasets contain qPCR results in the presence of specific PCR inhibitors: tannic acid, immunoglobulin G (IgG), and quercetin, respectively, to assess their effects on the amplification process. These datasets are useful for researchers interested in PCR kinetics. The original raw data file is available as Additional File 1: <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-11-186/MediaObjects/12859_2009_3643_MOE [...truncated...]
License: CC BY 4.0
Encoding: UTF-8
Imports: tibble
Depends: R (>= 2.10)
LazyData: true
URL: https://rmagno.eu/sisti/, https://github.com/ramiromagno/sisti
BugReports: https://github.com/ramiromagno/sisti/issues
NeedsCompilation: no
Packaged: 2024-04-28 02:24:37 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2024-04-28 11:00:02 UTC

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New package cryptorng with initial version 0.1.2
Package: cryptorng
Title: Access System Cryptographic Pseudorandom Number Generators
Version: 0.1.2
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Generate random bytes from the Cryptographically Secure Pseudorandom Number Generator (CSPRNG) provided by the underlying operating system. These system CSPRNGs are seeded internally by the OS with entropy it gathers and use random number generation algorithms which are considered cryptographically secure. The following system functions are used: arc4random_buf() on macOS and BSD; BCryptgenRandom() on Windows; Sys_getrandom() on Linux.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/coolbutuseless/cryptorng
BugReports: https://github.com/coolbutuseless/cryptorng/issues
NeedsCompilation: yes
Packaged: 2024-04-27 20:58:24 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-28 10:50:03 UTC

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New package accessr with initial version 1.0.1
Package: accessr
Title: Command Line Tools to Produce Accessible Documents using 'R Markdown'
Version: 1.0.1
Date: 2024-04-28
Description: Provides functions to produce accessible 'HTML' slides, 'HTML', 'Word' and 'PDF' documents from input 'R markdown' files. Accessible 'PDF' files are produced only on a 'Windows' Operating System. One aspect of accessibility is providing a headings structure that is recognised by a screen reader, providing a navigational tool for a blind or partially-sighted person. A key aim is to produce documents of different formats easily from each of a collection of 'R markdown' source files. Input 'R markdown' files are rendered using the render() function from the 'rmarkdown' package <https://cran.r-project.org/package=rmarkdown>. A 'zip' file containing multiple output files can be produced from one function call. A user-supplied template 'Word' document can be used to determine the formatting of an output 'Word' document. Accessible 'PDF' files are produced from 'Word' documents using 'OfficeToPDF' <https://github.com/cognidox/OfficeToPDF>. A convenience function, install_otp() is [...truncated...]
Depends: R (>= 3.3.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: rmarkdown
Suggests: dplyr, knitr, flextable, htmltools, huxtable, jpeg, officer, officedown, pagedown, png, tools, utils, xfun, zip, testthat (>= 3.0.0)
SystemRequirements: OfficeToPDF - https://github.com/cognidox/OfficeToPDF, pandoc (>= 1.14) - https://pandoc.org
URL: https://paulnorthrop.github.io/accessr/, https://github.com/paulnorthrop/accessr
BugReports: https://github.com/paulnorthrop/accessr/issues
NeedsCompilation: no
Packaged: 2024-04-28 08:22:47 UTC; Paul
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2024-04-28 11:00:06 UTC

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New package nFunNN with initial version 1.0
Package: nFunNN
Title: Nonlinear Functional Principal Component Analysis using Neural Networks
Version: 1.0
Description: Implementation for 'nFunNN' method, which is a novel nonlinear functional principal component analysis method using neural networks. The crucial function of this package is nFunNNmodel().
License: GPL (>= 3)
Encoding: UTF-8
Imports: fda, splines, stats, torch
NeedsCompilation: no
Packaged: 2024-04-26 01:50:25 UTC; 11013
Author: Rou Zhong [aut, cre], Jingxiao Zhang [aut]
Maintainer: Rou Zhong <zhong_rou@163.com>
Repository: CRAN
Date/Publication: 2024-04-28 09:40:02 UTC

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New package FnR with initial version 1.0.0
Package: FnR
Title: Inbreeding and Numerator Relationship Coefficients
Version: 1.0.0
Description: Compute inbreeding coefficients using the method of Meuwissen and Luo (1992) <doi:10.1186/1297-9686-24-4-305>, and numerator relationship coefficients between individuals using the method of Van Vleck (2007) <https://pubmed.ncbi.nlm.nih.gov/18050089/>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/nilforooshan/FnR
BugReports: https://github.com/nilforooshan/FnR/issues
NeedsCompilation: no
Packaged: 2024-04-26 08:23:18 UTC; monil0
Author: Mohammad Ali Nilforooshan [aut, cre]
Maintainer: Mohammad Ali Nilforooshan <m.a.nilforooshan@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-28 09:40:05 UTC

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New package braids with initial version 1.0.0
Package: braids
Title: The Braid Groups
Version: 1.0.0
Description: Deals with the braid groups. Includes creation of some specific braids, group operations, free reduction, and Bronfman polynomials. Braid theory has applications in fluid mechanics and quantum physics. The code is adapted from the 'Haskell' library 'combinat', and is based on Birman and Brendle (2005) <doi:10.48550/arXiv.math/0409205>.
License: GPL-3
URL: https://github.com/stla/braids
BugReports: https://github.com/stla/braids/issues
Imports: maybe
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-26 16:57:22 UTC; SDL96354
Author: Stephane Laurent [aut, cre], Balazs Komuves [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2024-04-28 10:00:03 UTC

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Sat, 27 Apr 2024

New package vvdoctor with initial version 0.0.1
Package: vvdoctor
Title: Statistical Test App with R 'shiny'
Version: 0.0.1
Description: Provides a user-friendly R 'shiny' app for performing various statistical tests on datasets. It allows users to upload data in numerous formats and perform statistical analyses. The app dynamically adapts its options based on the selected columns and supports both single and multiple column comparisons. The app's user interface is designed to streamline the process of selecting datasets, columns, and test options, making it easy for users to explore and interpret their data. The underlying functions for statistical tests are well-organized and can be used independently within other R scripts.
URL: https://github.com/vusaverse/vvdoctor, https://vusaverse.github.io/vvdoctor/
License: MIT + file LICENSE
Encoding: UTF-8
Imports: datamods, DescTools, DT, exact2x2, irr, magrittr, rintrojs, rstatix, shiny, shinyjs, shinyWidgets
NeedsCompilation: no
Packaged: 2024-04-25 18:54:27 UTC; tin900
Author: Tomer Iwan [aut, cre], Corneel Den Hartogh [ctb] , Jesus Blanco [ctb], VU Analytics [cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>
Repository: CRAN
Date/Publication: 2024-04-27 18:10:02 UTC

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New package medparser with initial version 0.1.0
Package: medparser
Title: MedPC Text Parser
Version: 0.1.0
Author: Olivia Ortelli, Tony Colarusso
Maintainer: Olivia Ortelli <oortelli@wakehealth.edu>
Description: Parses information from text files with specific utility aimed at pulling information from Med Associate's (MPC) files. These functions allow for further analysis of MPC files.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-25 20:51:14 UTC; oorte
Repository: CRAN
Date/Publication: 2024-04-27 18:20:03 UTC

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