CRANberries

Fri, 22 Nov 2024

New package saeHB.spatial with initial version 0.1.1
Package: saeHB.spatial
Title: Small Area Estimation Hierarchical Bayes For Spatial Model
Version: 0.1.1
Description: Provides several functions and datasets for area level of Small Area Estimation under Spatial Model using Hierarchical Bayesian (HB) Method. Model-based estimators include the HB estimators based on a Spatial Fay-Herriot model with univariate normal distribution for variable of interest.The 'rjags' package is employed to obtain parameter estimates. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/arinams/saeHB.spatial
BugReports: https://github.com/arinams/saeHB.spatial/issues
Imports: stringr, coda, rjags, stats, grDevices, graphics
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-22 08:41:08 UTC; User
Author: Arina Mana Sikana [aut, cre], Azka Ubaidillah [aut]
Maintainer: Arina Mana Sikana <sikanaradrianan@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-22 09:40:02 UTC

More information about saeHB.spatial at CRAN
Permanent link

New package GWlasso with initial version 1.0.1
Package: GWlasso
Title: Geographically Weighted Lasso
Version: 1.0.1
Description: Performs geographically weighted Lasso regressions. Find optimal bandwidth, fit a geographically weighted lasso or ridge regression, and make predictions. These methods are specially well suited for ecological inferences. Bandwidth selection algorithm is from A. Comber and P. Harris (2018) <doi:10.1007/s10109-018-0280-7>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, ggside, glmnet, GWmodel, lifecycle, magrittr, methods, progress, rlang, sf, tidyr
NeedsCompilation: no
Packaged: 2024-11-22 07:51:01 UTC; nibor
Author: Matthieu Mulot [aut, cre, cph] , Sophie Erb [aut]
Maintainer: Matthieu Mulot <matthieu.mulot@gmail.com>
Suggests: knitr, maps, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/nibortolum/GWlasso, https://nibortolum.github.io/GWlasso/
BugReports: https://github.com/nibortolum/GWlasso/issues
Repository: CRAN
Date/Publication: 2024-11-22 09:30:07 UTC

More information about GWlasso at CRAN
Permanent link

New package exametrika with initial version 1.1.0
Package: exametrika
Title: Test Theory Analysis and Biclustering
Version: 1.1.0
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LazyData: true
BuildVignettes: true
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5.0), mvtnorm, igraph
NeedsCompilation: no
Packaged: 2024-11-22 07:42:59 UTC; napier3
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-22 09:30:02 UTC

More information about exametrika at CRAN
Permanent link

New package anominate with initial version 0.7
Package: anominate
Title: Alpha-NOMINATE Ideal Point Estimator
Version: 0.7
Date: 2024-11-21
Author: Royce Carroll [aut], Christopher Hare [aut, cre], Jeffrey B. Lewis [aut], James Lo [aut], Keith T. Poole [aut], Howard Rosenthal [aut], Carlos Algara [aut], Samuel Fuller [aut]
Maintainer: Christopher Hare <cdhare@ucdavis.edu>
Description: Provides functions to estimate and interpret the alpha-NOMINATE ideal point model developed in Carroll et al. (2013, <doi:10.1111/ajps.12029>). alpha-NOMINATE extends traditional spatial voting frameworks by allowing for a mixture of Gaussian and quadratic utility functions, providing flexibility in modeling political actors' preferences. The package uses Markov Chain Monte Carlo (MCMC) methods for parameter estimation, supporting robust inference about individuals' ideological positions and the shape of their utility functions. It also contains functions to simulate data from the model and to calculate the probability of a vote passing given the ideal points of the legislators/voters and the estimated location of the choice alternatives.
License: GPL-2
Depends: stats, coda, wnominate, pscl, MCMCpack
URL: https://CRAN.R-project.org/package=anominate
NeedsCompilation: yes
Packaged: 2024-11-21 22:20:12 UTC; chare
Repository: CRAN
Date/Publication: 2024-11-22 09:20:02 UTC

More information about anominate at CRAN
Permanent link

New package topics with initial version 0.20.0
Package: topics
Title: Creating and Significance Testing Language Features for Visualisation
Version: 0.20.0
Description: Implements differential language analysis with statistical tests and offers various language visualization techniques for n-grams and topics. It also supports the 'text' package. For more information, visit <https://r-topics.org/> and <https://www.r-text.org/>.
License: GPL-3
URL: https://r-topics.org/
BugReports: https://github.com/theharmonylab/topics/issues
Encoding: UTF-8
Archs: x64
SystemRequirements: Python (>= 3.6.0)
LazyData: true
BuildVignettes: true
Imports: text, textmineR, ggplot2, dplyr, mallet, rJava, ggwordcloud, effsize, purrr, tibble, methods, readr, stopwords, Matrix, ngram, stringr, rlang, tidyr
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
Depends: R (>= 4.00)
NeedsCompilation: no
Packaged: 2024-11-21 18:13:35 UTC; oscarkjell
Author: Leon Ackermann [aut] , Zhuojun Gu [aut] , Oscar Kjell [aut, cre]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>
Repository: CRAN
Date/Publication: 2024-11-22 09:00:02 UTC

More information about topics at CRAN
Permanent link

New package super with initial version 0.0.3
Package: super
Title: Interpreted String Literals
Version: 0.0.3
Description: An implementation of interpreted string literals. Based on the 'glue' package by Hester & Bryan (2024) <doi:10.32614/CRAN.package.glue> but with a focus on efficiency and simplicity at a cost of flexibility.
License: MIT + file LICENSE
URL: https://timtaylor.github.io/super/
BugReports: https://github.com/TimTaylor/super/issues
Depends: R (>= 3.6)
Suggests: glue, litedown, microbenchmark, tinytest
VignetteBuilder: litedown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-11-21 18:25:33 UTC; tim
Author: Tim Taylor [aut, cre] , Jim Hester [aut] , Jennifer Bryan [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Repository: CRAN
Date/Publication: 2024-11-22 09:00:06 UTC

More information about super at CRAN
Permanent link

Thu, 21 Nov 2024

New package table.glue with initial version 0.0.5
Package: table.glue
Title: Make and Apply Customized Rounding Specifications for Tables
Version: 0.0.5
Description: Translate double and integer valued data into character values formatted for tabulation in manuscripts or other types of academic reports.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, covr, knitr, rmarkdown, magrittr, dplyr, tidyr, tibble, gt
Imports: glue, stringi
URL: https://github.com/bcjaeger/table.glue
BugReports: https://github.com/bcjaeger/table.glue/issues
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-21 19:34:44 UTC; bjaeger
Author: Byron Jaeger [aut, cre]
Maintainer: Byron Jaeger <bjaeger@wakehealth.edu>
Repository: CRAN
Date/Publication: 2024-11-21 21:20:02 UTC

More information about table.glue at CRAN
Permanent link

New package xpose.xtras with initial version 0.0.2
Package: xpose.xtras
Title: Extra Functionality for the 'xpose' Package
Version: 0.0.2
Description: Adding some at-present missing functionality, or functions unlikely to be added to the base 'xpose' package. This includes some diagnostic plots that have been missing in translation from 'xpose4', but also some useful features that truly extend the capabilities of what can be done with 'xpose'. These extensions include the concept of a set of 'xpose' objects, and diagnostics for likelihood-based models.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, cli, colorspace, conflicted, dplyr (>= 1.1.2), forcats (>= 1.0.0), GGally, ggplot2 (>= 3.4.2), glue, lifecycle, magrittr, pmxcv, purrr (>= 1.0.1), readr (>= 2.1.4), rlang, stats, stringr (>= 1.5.0), tibble (>= 3.2.1), tidyr (>= 1.3.0), tidyselect, utils, vctrs, xpose
Suggests: DiagrammeR, grDevices, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
URL: https://jprybylski.github.io/xpose.xtras/, https://github.com/jprybylski/xpose.xtras
NeedsCompilation: no
Packaged: 2024-11-20 19:03:45 UTC; PRYBYJ
Author: John Prybylski [aut, cre]
Maintainer: John Prybylski <john.prybylski@pfizer.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:20:02 UTC

More information about xpose.xtras at CRAN
Permanent link

New package transDA with initial version 1.0.0
Package: transDA
Title: Transformation Discriminant Analysis
Date: 2024-11-05
Version: 1.0.0
Maintainer: Jing Li <jli178@crimson.ua.edu>
Author: Jing Li [aut, cre], Yana Melnykov [aut]
Description: Performs transformation discrimination analysis and non-transformation discrimination analysis. It also includes functions for Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Mixture Discriminant Analysis. In the context of mixture discriminant analysis, it offers options for both common covariance matrix (common sigma) and individual covariance matrices (uncommon sigma) for the mixture components.
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
ByteCompile: true
NeedsCompilation: yes
Imports: mvtnorm
Packaged: 2024-11-21 16:11:59 UTC; jingli
Date/Publication: 2024-11-21 18:00:02 UTC

More information about transDA at CRAN
Permanent link

New package TimeDepFrail with initial version 0.0.0.9
Package: TimeDepFrail
Title: Time Dependent Shared Frailty Cox Model
Version: 0.0.0.9
Description: Fits time-dependent shared frailty Cox model (specifically the adapted Paik et al.'s Model) based on the paper "Centre-Effect on Survival After Bone Marrow Transplantation: Application of Time-Dependent Frailty Models", by C.M. Wintrebert, H. Putter, A.H. Zwinderman and J.C. van Houwelingen (2004) <doi:10.1002/bimj.200310051>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports:
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-21 12:47:56 UTC; alessandragni
Author: Alessandra Ragni [aut, cre] , Giulia Romani [aut], Chiara Masci [ctb]
Maintainer: Alessandra Ragni <alessandra.ragni@polimi.it>
Repository: CRAN
Date/Publication: 2024-11-21 17:40:16 UTC

More information about TimeDepFrail at CRAN
Permanent link

New package scoutbaR with initial version 0.0.1
Package: scoutbaR
Title: A Spotlight 'React' Widget for 'shiny' Apps
Version: 0.0.1
Description: Creates a contextual menu that can be triggered with keyboard shortcuts or programmatically. This can replace traditional sidebars or navigation bars, thereby enhancing the user experience with lighter user interfaces.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmltools, reactR, shiny
Suggests: testthat (>= 3.0.0), shinytest2
NeedsCompilation: no
Packaged: 2024-11-21 11:12:07 UTC; davidgranjon
Author: David Granjon [aut, cre], Adenekan Wonderful [cph]
Maintainer: David Granjon <dgranjon@ymail.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:40:02 UTC

More information about scoutbaR at CRAN
Permanent link

New package roxy.shinylive with initial version 1.0.0
Package: roxy.shinylive
Title: A 'roxygen2' Extension for 'Shinylive'
Version: 1.0.0
Description: An extension for 'roxygen2' to embed 'Shinylive' applications in the package documentation.
License: Apache License 2.0
URL: https://github.com/insightsengineering/roxy.shinylive/
BugReports: https://github.com/insightsengineering/roxy.shinylive/issues
Depends: R (>= 4.0)
Imports: glue, jsonlite (>= 1.8.6), lzstring (>= 0.1.3), roxygen2 (>= 7.2.0), stringr (>= 0.4)
Suggests: pkgdown (>= 2.0.0), testthat (>= 3.1.5), withr (>= 2.4.3)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-21 10:51:44 UTC; ruckip
Author: Pawel Rucki [aut, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Pawel Rucki <pawel.rucki@roche.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:40:06 UTC

More information about roxy.shinylive at CRAN
Permanent link

New package mlms with initial version 1.0.2
Package: mlms
Title: Multilevel Monitoring System Data for Wells in the USGS INL Aquifer Monitoring Network
Version: 1.0.2
Description: Analysis-ready datasets detailing the Multilevel Monitoring System (MLMS) wells within the U.S. Geological Survey's (USGS) aquifer-monitoring network at the Idaho National Laboratory (INL) in Idaho, and the data collected within these wells. Supported by the U.S. Department of Energy (DOE), the USGS collected discrete measurements of hydraulic head at various depths from wells in the eastern Snake River Plain (ESRP) aquifer over several years. These measurements were derived from data on fluid pressure, fluid temperature, and atmospheric pressure. Each well was equipped with an MLMS, which included valved measurement ports, packer bladders, casing segments, and couplers. The MLMS facilitated monitoring at multiple hydraulically isolated depth intervals, reaching significant depths below the land surface. Additionally, groundwater samples were collected from these wells over multiple years and analyzed for various chemical and physical parameters.
Depends: R (>= 4.1)
Imports: checkmate, graphics, grDevices, jsonlite, plotrix, readxl, stats, sf, stringi, tools, utils
Suggests: connectapi, covr, dm, DiagrammeR, DiagrammeRsvg, fontawesome, htmltools, htmlwidgets, inldata, knitr, pkgbuild, pkgdown, pkgload, rcmdcheck, reactable, renv, rmarkdown, roxygen2, tinytest, V8, webmap
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey (USGS), an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
URL: https://code.usgs.gov/inl/mlms
BugReports: https://code.usgs.gov/inl/mlms/-/issues
NeedsCompilation: no
Packaged: 2024-11-20 22:40:52 UTC; jfisher
Author: Jason C. Fisher [aut, cre] , Brian V. Twining [aut]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>
Repository: CRAN
Date/Publication: 2024-11-21 17:30:02 UTC

More information about mlms at CRAN
Permanent link

New package matchedcc with initial version 0.1.1
Package: matchedcc
Title: 'Stata'-Like Matched Case-Control Analysis
Version: 0.1.1
Date: 2024-11-19
Maintainer: Simon R Parker <simon.parker.24@ucl.ac.uk>
Description: Calculate multiple statistics with confidence intervals for matched case-control data including risk difference, risk ratio, relative difference, and the odds ratio. Results are equivalent to those from 'Stata', and you can choose how to format your input data. Methods used are those described on page 56 the 'Stata' documentation for "Epitab - Tables for Epidemologists" <https://www.stata.com/manuals/repitab.pdf>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/simpar1471/matchedcc/, https://simpar1471.github.io/matchedcc/
BugReports: https://github.com/simpar1471/matchedcc/issues
Depends: R (>= 4.1.0)
Imports: checkmate, stats, cli, binom
Suggests: testthat (>= 3.0.0), readr, vctrs, stringr, purrr, knitr, rmarkdown, RStata
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-20 17:22:43 UTC; tadeo
Author: Simon R Parker [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-21 17:10:02 UTC

More information about matchedcc at CRAN
Permanent link

New package kendallknight with initial version 0.4.0
Package: kendallknight
Title: Efficient Implementation of Kendall's Correlation Coefficient Computation
Version: 0.4.0
Imports: stats
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Depends: R(>= 3.5.0)
Description: The computational complexity of the implemented algorithm for Kendall's correlation is O(n log(n)), which is faster than the base R implementation with a computational complexity of O(n^2). For small vectors (i.e., less than 100 observations), the time difference is negligible. However, for larger vectors, the speed difference can be substantial and the numerical difference is minimal. The references are Knight (1966) <doi:10.2307/2282833>, Abrevaya (1999) <doi:10.1016/S0165-1765(98)00255-9>, Christensen (2005) <doi:10.1007/BF02736122> and Emara (2024) <https://learningcpp.org/>. This implementation is described in Vargas Sepulveda (2024) <doi:10.48550/arXiv.2408.09618>.
License: Apache License (>= 2)
BugReports: https://github.com/pachadotdev/capybara/issues
URL: https://pacha.dev/capybara/, https://github.com/pachadotdev/capybara
Encoding: UTF-8
NeedsCompilation: yes
LinkingTo: cpp11
VignetteBuilder: knitr
Language: en-US
LazyData: true
Packaged: 2024-11-20 15:49:09 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Loader Catherine [ctb] ), Ross Ihaka [ctb] )
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-11-21 17:10:06 UTC

More information about kendallknight at CRAN
Permanent link

New package eva3dm with initial version 0.99
Package: eva3dm
Title: Evaluation of 3D Meteorological and Air Quality Models
Version: 0.99
Date: 2024-11-19
Description: Provides tools for post-process, evaluate and visualize results from 3d Meteorological and Air Quality models against point observations (i.e. surface stations) and grid (i.e. satellite) observations.
Maintainer: Daniel Schuch <underschuch@gmail.com>
License: MIT + file LICENSE
Imports: terra, ncdf4, utils
Suggests: riem, testthat (>= 3.0.0)
Encoding: UTF-8
BugReports: https://github.com/Schuch666/eva3dm/issues/
Depends: R (>= 3.5.0)
URL: https://schuch666.github.io/eva3dm/
NeedsCompilation: no
Packaged: 2024-11-21 05:25:28 UTC; under
Author: Daniel Schuch [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-21 17:40:11 UTC

More information about eva3dm at CRAN
Permanent link

New package covalchemy with initial version 1.0.0
Package: covalchemy
Title: Constructing Joint Distributions with Control Over Statistical Properties
Version: 1.0.0
Description: Synthesizing joint distributions from marginal densities, focusing on controlling key statistical properties such as correlation for continuous data, mutual information for categorical data, and inducing Simpson's Paradox. Generate datasets with specified correlation structures for continuous variables, adjust mutual information between categorical variables, and manipulate subgroup correlations to intentionally create Simpson's Paradox. Joe (1997) <doi:10.1201/b13150> Sklar (1959) <https://en.wikipedia.org/wiki/Sklar%27s_theorem>.
Encoding: UTF-8
Imports: dplyr, ggplot2, mvtnorm, interp, clue, ggExtra, gridExtra, DescTools, MASS
Depends: R (>= 3.5.0)
License: GPL-3
BugReports: https://github.com/namanlab/covalchemy/issues
URL: https://github.com/namanlab/covalchemy
NeedsCompilation: no
Packaged: 2024-11-20 14:57:15 UTC; namanagrawal
Author: Naman Agrawal [aut, cre]
Maintainer: Naman Agrawal <naman.agr03@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:10:11 UTC

More information about covalchemy at CRAN
Permanent link

New package cohetsurr with initial version 1.0
Package: cohetsurr
Title: Assessing Complex Heterogeneity in Surrogacy
Version: 1.0
Date: 2024-11-20
Description: Provides functions to assess and test for complex heterogeneity in the utility of a surrogate marker with respect to multiple baseline covariates, using both a parametric model and a semiparametric two-step model. More details will be available in the future in: Knowlton, R., Tian, L., Parast, L. (2024) ``A General Framework to Assess Complex Heterogeneity in the Strength of a Surrogate Marker."
License: GPL
Imports: stats, matrixStats, mvtnorm
NeedsCompilation: no
Packaged: 2024-11-20 18:08:26 UTC; rkkno
Author: Rebecca Knowlton [aut, cre]
Maintainer: Rebecca Knowlton <rknowlton@utexas.edu>
Repository: CRAN
Date/Publication: 2024-11-21 17:20:07 UTC

More information about cohetsurr at CRAN
Permanent link

New package chooseGCM with initial version 1.0.1
Package: chooseGCM
Title: Selecting General Circulation Models for Species Distribution Modeling
Version: 1.0.1
Maintainer: Luiz Esser <luizesser@gmail.com>
Description: Methods to help selecting General Circulation Models (GCMs) in the context of projecting models to future scenarios. It is provided clusterization algorithms, distance and correlation metrics, as well as a tailor-made algorithm to detect the optimum subset of GCMs that recreate the environment of all GCMs.
License: MIT + file LICENSE
Imports: checkmate, cluster, cowplot, factoextra, ggcorrplot, ggplot2, graphics, httr, methods, reshape2, stats, terra, usedist, utils
Encoding: UTF-8
Suggests: tictoc, testthat, sf, knitr, raster, rmarkdown, stars
URL: https://luizesser.github.io/chooseGCM/, https://github.com/luizesser/chooseGCM
VignetteBuilder: knitr
BugReports: https://github.com/luizesser/chooseGCM/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-20 20:10:59 UTC; luizesser
Author: Dayani Baili [aut] , Reginaldo Re [aut] , Marcos Lima [aut] , Luiz Esser [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-21 17:20:11 UTC

More information about chooseGCM at CRAN
Permanent link

New package dhis2r with initial version 0.3.0
Package: dhis2r
Title: Client for the 'DHIS2' Web API
Version: 0.3.0
Description: Connect and pull data from a 'DHIS2 (District Health Information Software 2)' instance into R.
License: MIT + file LICENSE
URL: https://github.com/amanyiraho/dhis2r
BugReports: https://github.com/amanyiraho/dhis2r/issues
Imports: attempt (>= 0.3.1), curl (>= 4.3.3), dplyr (>= 1.0.10), httr2 (>= 0.2.2), R6 (>= 2.5.1)
Suggests: covr, httptest2, knitr, rmarkdown, testthat
Depends: R (>= 4.1.0)
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-21 10:53:15 UTC; am
Author: Robinson Amanyiraho [cre, aut, cph]
Maintainer: Robinson Amanyiraho <amanyiraho@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 11:30:06 UTC

More information about dhis2r at CRAN
Permanent link

New package scregclust with initial version 0.1.10
Package: scregclust
Title: Reconstructing the Regulatory Programs of Target Genes in scRNA-Seq Data
Version: 0.1.10
Description: Implementation of the scregclust algorithm described in Larsson, Held, et al. (2024) <doi:10.1038/s41467-024-53954-3> which reconstructs regulatory programs of target genes in scRNA-seq data. Target genes are clustered into modules and each module is associated with a linear model describing the regulatory program.
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Matrix, stats, methods, utils, reshape, igraph, graphics, grid, cli, prettyunits, ggplot2, rlang, Rcpp (>= 1.0.8)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), Seurat (>= 5.0.0), glmGamPoi, hdf5r
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
License: GPL (>= 3)
URL: https://scmethods.github.io/scregclust/, https://github.com/scmethods/scregclust/
BugReports: https://github.com/scmethods/scregclust/issues
NeedsCompilation: yes
Packaged: 2024-11-20 09:16:53 UTC; felixheld
Author: Felix Held [aut, cre] , Ida Larsson [aut] , Sven Nelander [aut]
Maintainer: Felix Held <felix.held@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 07:30:02 UTC

More information about scregclust at CRAN
Permanent link

New package OutcomeWeights with initial version 0.1.0
Package: OutcomeWeights
Title: Outcome Weights of Treatment Effect Estimators
Version: 0.1.0
Description: Many treatment effect estimators can be written as weighted outcomes. These weights have established use cases like checking covariate balancing via packages like 'cobalt'. This package takes the original estimator objects and outputs these outcome weights. It builds on the general framework of Knaus (2024) <doi:10.48550/arXiv.2411.11559>. This version is compatible with the 'grf' package and provides an internal implementation of Double Machine Learning.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/MCKnaus/OutcomeWeights
BugReports: https://github.com/MCKnaus/OutcomeWeights/issues
Imports: ggplot2, grf, methods
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-11-20 13:34:23 UTC; Michael
Author: Michael C. Knaus [aut, cre] , Henri Pfleiderer [ctb]
Maintainer: Michael C. Knaus <michael.knaus@uni-tuebingen.de>
Repository: CRAN
Date/Publication: 2024-11-21 08:00:10 UTC

More information about OutcomeWeights at CRAN
Permanent link

New package CTTvis with initial version 0.1.0
Package: CTTvis
Title: Visualize Item Metrics of the Classical Test Theory Framework
Version: 0.1.0
Description: Visualizes results of item analysis such as item difficulty, item discrimination, and coefficient alpha for ease of result communication.
License: GPL-3
URL: https://github.com/TaridWong/CTTvis
Depends: R (>= 4.3)
Imports: CTT (>= 2.3.3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-20 06:38:06 UTC; tarid
Author: Tarid Wongvorachan [aut, cre, cph]
Maintainer: Tarid Wongvorachan <taridwongvorachan@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 07:30:07 UTC

More information about CTTvis at CRAN
Permanent link

New package consrq with initial version 1.0
Package: consrq
Title: Constrained Quantile Regression
Version: 1.0
Date: 2024-11-20
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Suggests: Rfast2, cols
Imports: quantreg, Rfast
Description: Constrained quantile regression is performed. One constraint is that all beta coefficients (including the constant) cannot be negative, they can be either 0 or strictly positive. Another constraint is that the beta coefficients lie within an interval. References: Koenker R. (2005) Quantile Regression, Cambridge University Press. <doi:10.1017/CBO9780511754098>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-11-20 13:44:36 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-11-21 08:00:03 UTC

More information about consrq at CRAN
Permanent link

New package cisp with initial version 0.1.0
Package: cisp
Title: A Correlation Indicator Based on Spatial Patterns
Version: 0.1.0
Description: Use the spatial association marginal contributions derived from spatial stratified heterogeneity to capture the degree of correlation between spatial patterns.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/cisp/, https://github.com/stscl/cisp
BugReports: https://github.com/stscl/cisp/issues
Depends: R (>= 4.1.0)
Imports: dplyr, forcats, gdverse (>= 1.3), ggplot2, ggraph, igraph, magrittr, parallel, purrr, RColorBrewer, sdsfun (>= 0.4.3), sf, tibble, tidyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-20 13:40:22 UTC; dell
Author: Wenbo Lv [aut, cre, cph] , Yongze Song [aut] , Nan Jia [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 08:00:06 UTC

More information about cisp at CRAN
Permanent link

New package AnomalyScore with initial version 0.1
Package: AnomalyScore
Title: Anomaly Scoring for Multivariate Time Series
Version: 0.1
Description: Compute an anomaly score for multivariate time series based on the k-nearest neighbors algorithm. Different computations of distances between time series are provided.
License: GPL (>= 3)
Imports: dtw, class, astsa, transport, marima, TSA, RANN, MASS, mvLSW, stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-20 14:21:40 UTC; guillermocgg
Author: Guillermo Granados [aut, cre]
Maintainer: Guillermo Granados <guillermo.granadosgarcia@outlook.com>
Repository: CRAN
Date/Publication: 2024-11-21 08:00:13 UTC

More information about AnomalyScore at CRAN
Permanent link

Wed, 20 Nov 2024

New package quantsig with initial version 0.1.0
Package: quantsig
Title: Sigmoidal Quantile Function Estimator
Version: 0.1.0
Maintainer: Han Yu <han.yu@roswellpark.org>
Description: A sigmoidal quantile function estimator based on a newly defined generalized expectile function. The generalized sigmoidal quantile function can estimate quantiles beyond the range of the data, which is important for certain applications given smaller sample sizes. The package is based on the method introduced in Hutson (2024) <doi:10.1080/03610918.2022.2032161>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-20 01:33:30 UTC; ha31006
Author: Alan Hutson [aut], Han Yu [cre]
Repository: CRAN
Date/Publication: 2024-11-20 19:30:02 UTC

More information about quantsig at CRAN
Permanent link

New package gerda with initial version 0.1.0
Package: gerda
Title: German Election Database (GERDA)
Version: 0.1.0
Description: Provides tools to download comprehensive datasets of local, state, and federal election results in Germany from 1990 to 2021. The package facilitates access to data on turnout, vote shares for major parties, and demographic information across different levels of government (municipal, state, and federal). It offers access to geographically harmonized datasets that account for changes in municipal boundaries over time and incorporate mail-in voting districts. Users can easily retrieve, clean, and standardize German electoral data, making it ready for analysis. Data is sourced from <http://www.german-elections.com>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: stringdist, dplyr, readr, knitr, tibble
Suggests: rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/hhilbig/gerda
BugReports: https://github.com/hhilbig/gerda/issues
VignetteBuilder: knitr
Maintainer: Hanno Hilbig <hhilbig@ucdavis.edu>
NeedsCompilation: no
Packaged: 2024-11-19 16:38:56 UTC; hanno
Author: Hanno Hilbig [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-20 19:10:01 UTC

More information about gerda at CRAN
Permanent link

New package cellularautomata with initial version 0.1.0
Package: cellularautomata
Title: Cellular Automata
Version: 0.1.0
Maintainer: Vlad Tarko <vladtarko@gmail.com>
Description: Create cellular automata from 'Wolfram' rules. Allows the creation of 'Wolfram' style plots, as well as of animations. Easy to create multiple plots, for example the output of a rule with different initial states, or the output of many different rules from the same state. The output of a cellular automaton is given as a matrix, making it easy to try to explore the possibility of predicting its time evolution using various statistical tools available in R. Wolfram S. (2002, ISBN:1579550088) "A New Kind of Science".
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: gganimate, ggplot2, patchwork, purrr, rlang
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-11-19 16:03:48 UTC; vladtarko
Author: Vlad Tarko [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-20 19:10:06 UTC

More information about cellularautomata at CRAN
Permanent link

New package sampledatasets with initial version 0.1.0
Package: sampledatasets
Title: A Collection of Sample Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides a collection of sample datasets on various fields such as automotive performance and safety data to historical demographics and socioeconomic indicators, as well as recreational data. It serves as a resource for researchers and analysts seeking to perform analyses and derive insights from classic data sets in R.
License: GPL-3
URL: https://github.com/lightbluetitan/sampledatasets
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-19 15:43:53 UTC; renzorossiv
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-11-20 19:00:02 UTC

More information about sampledatasets at CRAN
Permanent link

New package Certara.RsNLME with initial version 3.0.1
Package: Certara.RsNLME
Title: Pharmacometric Modeling
Version: 3.0.1
Description: Facilitate Pharmacokinetic (PK) and Pharmacodynamic (PD) modeling and simulation with powerful tools for Nonlinear Mixed-Effects (NLME) modeling. The package provides access to the same advanced Maximum Likelihood algorithms used by the NLME-Engine in the Phoenix platform. These tools support a range of analyses, from parametric methods to individual and pooled data analysis <https://www.certara.com/app/uploads/2020/06/BR_PhoenixNLME-v4.pdf>. Execution is supported both locally or on remote machines.
Depends: R (>= 4.0)
License: LGPL-3
URL: https://certara.github.io/R-RsNLME/
Encoding: UTF-8
LazyData: true
Suggests: rlang, knitr, rmarkdown, testthat, magrittr
Imports: xml2, assertthat, Certara.NLME8, data.table, jsonlite, methods, utils, ssh
NeedsCompilation: no
Packaged: 2024-11-19 15:11:50 UTC; jcraig
Author: James Craig [aut, cre], Michael Tomashevskiy [aut], Vitalii Nazarov [aut], Shuhua Hu [ctb], Soltanshahi Fred [aut], Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2024-11-20 11:20:02 UTC

More information about Certara.RsNLME at CRAN
Permanent link

New package SVEMnet with initial version 1.0.3
Package: SVEMnet
Title: Self-Validated Ensemble Models with Elastic Net Regression
Version: 1.0.3
Date: 2024-11-18
Maintainer: Andrew T. Karl <akarl@asu.edu>
Description: Implements Self-Validated Ensemble Models (SVEM, Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) using Elastic Net regression via 'glmnet' (Friedman et al. <doi:10.18637/jss.v033.i01>). SVEM averages predictions from multiple models fitted to fractionally weighted bootstraps of the data, tuned with anti-correlated validation weights. Also implements the randomized permutation whole model test for SVEM (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Code for the whole model test was taken from the supplementary material of Karl (2024). Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.
Depends: R (>= 3.5.0)
Imports: glmnet, stats, gamlss, gamlss.dist, ggplot2, lhs
License: GPL-2 | GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-19 10:06:13 UTC; andre
Author: Andrew T. Karl [cre, aut]
Repository: CRAN
Date/Publication: 2024-11-20 10:30:02 UTC

More information about SVEMnet at CRAN
Permanent link

New package psc with initial version 1.0.0
Package: psc
Title: Personalised Synthetic Controls
Version: 1.0.0
Maintainer: Richard Jackson <richJ23@liverpool.ac.uk>
Description: Allows the comparison of data cohorts (DC) against a Counter Factual Model (CFM) and measures the difference in terms of an efficacy parameter. Allows the application of Personalised Synthetic Controls.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/richjjackson/psc/
BugReports: https://github.com/richJJackson/psc/issues
Depends: R (>= 3.5.0)
Imports: mvtnorm, survival, enrichwith, stats, flexsurv
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-19 10:15:28 UTC; richardjackson
Author: Richard Jackson [cre, aut]
Repository: CRAN
Date/Publication: 2024-11-20 10:40:02 UTC

More information about psc at CRAN
Permanent link

New package OpeNoise with initial version 0.2-18
Package: OpeNoise
Title: Environmental Noise Pollution Data Analysis
Version: 0.2-18
Maintainer: Pasquale Scordino <scordino.pasquale@gmail.com>
Imports: tidyr, lubridate, ggplot2, pracma
Description: Provides analyse, interpret and understand noise pollution data. Data are typically regular time series measured with sound meter. The package is partially described in Fogola, Grasso, Masera and Scordino (2023, <DOI:10.61782/fa.2023.0063>).
Depends: R (>= 3.5.0)
License: GPL (>= 3)
URL: https://arpapiemonte.github.io/openoise-analysis/, https://github.com/Arpapiemonte/openoise-analysis/
BugReports: https://github.com/Arpapiemonte/openoise-analysis/issues/
Encoding: UTF-8
LazyData: TRUE
Suggests: rmarkdown, htmltools, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-11-19 12:49:48 UTC; pakosko
Author: Pasquale Scordino [aut, cre], Simone Sperotto [ctb], Stefano Masera [ctb], Daniele Grasso [ctb], Jacopo Fogola [ctb]
Repository: CRAN
Date/Publication: 2024-11-20 10:40:10 UTC

More information about OpeNoise at CRAN
Permanent link

New package lwc2022 with initial version 1.0.0
Package: lwc2022
Title: Langa-Weir Classification of Cognitive Function for 2022 HRS Data
Version: 1.0.0
URL: https://github.com/C-Monaghan/lwc2022, https://c-monaghan.github.io/lwc2022/
BugReports: https://github.com/C-Monaghan/lwc2022/issues
Language: en-US
Description: Generates the Langa-Weir classification of cognitive function for the 2022 Health and Retirement Study (HRS) cognition data. It is particularly useful for researchers studying cognitive aging who wish to work with the most recent release of HRS data. The package provides user-friendly functions for data preprocessing, scoring, and classification allowing users to easily apply the Langa-Weir classification system. For details regarding the; HRS <https://hrsdata.isr.umich.edu/> and Langa-Weir classifications <https://hrsdata.isr.umich.edu/data-products/langa-weir-classification-cognitive-function-1995-2020>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: dplyr
Suggests: knitr
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-19 12:25:48 UTC; corma
Author: Cormac Monaghan [cph, aut, cre] , Rafael de Andrade Moral [aut] , Joanna McHugh Power [aut]
Maintainer: Cormac Monaghan <cormacmonaghan@protonmail.com>
Repository: CRAN
Date/Publication: 2024-11-20 10:40:07 UTC

More information about lwc2022 at CRAN
Permanent link

New package BioVizSeq with initial version 0.1.0
Package: BioVizSeq
Title: Visualizing the Elements Within Bio-Sequences
Version: 0.1.0
Maintainer: Shiqi Zhao <zhaosq89@163.com>
Description: Visualizing the types and distribution of elements within bio-sequences. At the same time, We have developed a geom layer, geom_rrect(), that can generate rounded rectangles. No external references are used in the development of this package.
License: Artistic-2.0
Encoding: UTF-8
Language: en-US
Imports: dplyr, ggplot2, httr, RColorBrewer, seqinr, stringr, tidyr, magrittr
NeedsCompilation: no
Packaged: 2024-11-19 10:08:10 UTC; zhaoshiqi
Author: Shiqi Zhao [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-20 10:40:14 UTC

More information about BioVizSeq at CRAN
Permanent link

New package cbioportalR with initial version 1.1.1
Package: cbioportalR
Title: Browse and Query Clinical and Genomic Data from cBioPortal
Version: 1.1.1
Description: Provides R users with direct access to genomic and clinical data from the 'cBioPortal' web resource via user-friendly functions that wrap 'cBioPortal's' existing API endpoints <https://www.cbioportal.org/api/swagger-ui/index.html>. Users can browse and query genomic data on mutations, copy number alterations and fusions, as well as data on tumor mutational burden ('TMB'), microsatellite instability status ('MSI'), 'FACETS' and select clinical data points (depending on the study). See <https://www.cbioportal.org/> and Gao et al., (2013) <doi:10.1126/scisignal.2004088> for more information on the cBioPortal web resource.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.1.4), knitr (>= 1.39), rmarkdown (>= 2.14), covr (>= 3.5.1), spelling
Depends: R (>= 2.10)
Imports: httr (>= 1.4.3), tibble (>= 3.1.7), purrr (>= 0.3.4), magrittr (>= 2.0.3), rlang (>= 1.0.3), glue (>= 1.6.2), jsonlite (>= 1.8.0), tidyr (>= 1.2.0), dplyr (>= 1.0.9), stringr (>= 1.4.0), cli (>= 3.3.0)
VignetteBuilder: knitr
URL: https://github.com/karissawhiting/cbioportalR, https://www.karissawhiting.com/cbioportalR/
BugReports: https://github.com/karissawhiting/cbioportalR/issues
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-19 21:02:33 UTC; kwhiting
Author: Karissa Whiting [aut, cre, cph]
Maintainer: Karissa Whiting <karissa.whiting@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-20 09:30:02 UTC

More information about cbioportalR at CRAN
Permanent link

Tue, 19 Nov 2024

New package pseudobibeR with initial version 1.2
Package: pseudobibeR
Title: Aggregate Counts of Linguistic Features
Version: 1.2
Date: 2024-11-18
Description: Calculates the lexicogrammatical and functional features described by Biber (1985) <doi:10.1515/ling.1985.23.2.337> and widely used for text-type, register, and genre classification tasks.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.5.0)
Imports: dplyr, purrr, quanteda, quanteda.textstats, rlang, stringr, tibble, magrittr
Suggests: testthat (>= 3.0.0), udpipe
NeedsCompilation: no
Packaged: 2024-11-18 19:20:40 UTC; alexreinhart
Author: David Brown [aut, cre] , Alex Reinhart [aut]
Maintainer: David Brown <dwb2@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2024-11-19 12:20:06 UTC

More information about pseudobibeR at CRAN
Permanent link

New package mvvg with initial version 0.1.0
Package: mvvg
Title: Matrix-Variate Variance-Gamma Distribution
Version: 0.1.0
Description: Rudimentary functions for sampling and calculating density from the matrix-variate variance-gamma distribution.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: MixMatrix, nlme, psych
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-11-18 20:58:53 UTC; soonsk
Author: Samuel Soon [aut, cre]
Maintainer: Samuel Soon <samksoon2@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-11-19 12:20:27 UTC

More information about mvvg at CRAN
Permanent link

New package LFM with initial version 0.1.0
Package: LFM
Title: Laplace Factor Model Analysis and Evaluation
Date: 2024-11-18
Version: 0.1.0
Description: Enables the generation of Laplace factor models across diverse Laplace distributions and facilitates the application of Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Parallel Principal Component (PPC), Sparse Approximate Principal Component (SAPC), Standard Principal Component (SPC), and Farm Test methods to these models. Evaluates the efficacy of these methods within the context of Laplace factor models by scrutinizing parameter estimation accuracy, mean square error, and the degree of sparsity.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, FarmTest, MASS, SOPC, LaplacesDemon, matrixcalc, relliptical
NeedsCompilation: no
Language: en-US
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Depends: R (>= 3.5.0)
BuildManual: yes
Suggests: testthat (>= 3.0.0)
Packaged: 2024-11-18 10:54:04 UTC; R7000
Repository: CRAN
Date/Publication: 2024-11-19 12:30:09 UTC

More information about LFM at CRAN
Permanent link

New package GRIN2 with initial version 1.0
Package: GRIN2
Title: Genomic Random Interval (GRIN)
Version: 1.0
Description: Improved version of 'GRIN' software that streamlines its use in practice to analyze genomic lesion data, accelerate its computing, and expand its analysis capabilities to answer additional scientific questions including a rigorous evaluation of the association of genomic lesions with RNA expression. Pounds, Stan, et al. (2013) <DOI:10.1093/bioinformatics/btt372>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: biomaRt, circlize, ComplexHeatmap, data.table, dplyr, EnsDb.Hsapiens.v75, ensembldb, forcats, GenomeInfoDb, ggplot2, graphics, grDevices, grid, gridGraphics, Gviz, magrittr, stats, stringr, survival, tibble, tidyselect, utils, writexl
Suggests: knitr, rmarkdown
NeedsCompilation: no
Maintainer: Abdelrahman Elsayed <aelsayed@stjude.org>
Depends: R (>= 4.2.0)
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/abdel-elsayed87/GRIN2
BugReports: https://github.com/abdel-elsayed87/GRIN2/issues
Packaged: 2024-11-18 22:39:09 UTC; aelsa
Author: Abdelrahman Elsayed [aut, cre, cph] , Xueyuan Cao [aut], Lakshmi Anuhya patibandla [aut], Stanley Pounds [aut, cph]
Repository: CRAN
Date/Publication: 2024-11-19 12:30:36 UTC

More information about GRIN2 at CRAN
Permanent link

New package forestdynR with initial version 0.0.1
Package: forestdynR
Title: Calculate Forest Dynamics
Version: 0.0.1
Maintainer: Pedro Higuchi <higuchip@gmail.com>
Description: Determines the dynamics of tree species communities (mortality rates, recruitment, loss and gain in basal area, net changes and turnover). Important notes are a) The 'forest_df' argument (data) must contain the columns 'plot' (plot identification), 'spp' (species identification), DBH_1 (Diameter at breast height in first year of measure) and DBH_2 (Diameter at breast height in second year of measure). DBH_1 and DBH_2 must be numeric values; b) example input file in 'data(forest_df_example)'; c) The argument 'inv_time' represents the time between inventories, in years; d) The 'coord' argument must be of the type 'c(longitude, latitude)', with decimal degree values; e) Argument 'add_wd' represents a dataframe with wood density values (g cm-3) format with three columns ('genus', 'species', 'wd'). This argument is set to NULL by default, and if isn't provided, the wood density will be estimated with the getWoodDensity() function from the 'BIOMASS' package.
License: GPL (>= 2)
URL: https://github.com/higuchip/forestdynR
BugReports: https://github.com/higuchip/forestdynR/issues
Depends: R (>= 4.3.0)
Imports: BIOMASS (>= 2.1.11), tcltk (>= 1.0.0),
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-18 20:37:29 UTC; optimus-prime
Author: Pedro Higuchi [cre, aut], Ana Carolina Silva [aut], Adam Slabadack [aut]
Repository: CRAN
Date/Publication: 2024-11-19 12:20:41 UTC

More information about forestdynR at CRAN
Permanent link

New package talkr with initial version 0.1.3
Package: talkr
Title: Plotting Conversation Data
Version: 0.1.3
Description: Visualisation, analysis and quality control of conversational data. Rapid and visual insights into the nature, timing and quality of time-aligned annotations in conversational corpora. For more details, see Dingemanse et al., (2022) <doi:10.18653/v1/2022.acl-long.385>.
License: Apache License (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: cowplot, dplyr, ggplot2, ggthemes, knitr, stats, stringr, tidyr, tidyselect
Suggests: rmarkdown, testthat (>= 3.0.0), pkgdown, ggrepel, utils
NeedsCompilation: no
Packaged: 2024-11-15 13:53:36 UTC; pablo
Author: Mark Dingemanse [aut, cre], Barbara Vreede [aut], Eva Viviani [aut], Pablo Rodriguez-Sanchez [aut], Andreas Liesenfeld [ctb], Netherlands eScience Center [cph, fnd]
Maintainer: Mark Dingemanse <mark.dingemanse@ru.nl>
Repository: CRAN
Date/Publication: 2024-11-19 11:50:03 UTC

More information about talkr at CRAN
Permanent link

New package ecdata with initial version 1.1.1
Package: ecdata
Title: Loads Data from the Executive Communications Dataset
Version: 1.1.1
Description: A minimal package for downloading data from 'GitHub' repositories of the Executive Communications Database.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
URL: https://github.com/Executive-Communications-Dataset/ecdata,https://executive-communications-dataset.github.io/ecdata/
BugReports: https://github.com/Executive-Communications-Dataset/ecdata/issues
Depends: R (>= 4.0)
Imports: arrow (>= 16.1.0), cli (>= 3.6.3), rlang (>= 1.1.0), glue (>= 1.4.0), piggyback (>= 0.1.5), utils, tools, cachem (>= 1.0.0), memoise (>= 2.0.0), vctrs, curl
Suggests: duckplyr, testthat (>= 3.0.0), data.table, dplyr, altdoc, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-18 18:12:34 UTC; josh
Author: Joshua Allen [aut, cre, cph] , Ryan Carlin [ctb], Juan Gomez-Gomez-Cruces [ctb], Will Horne [aut, ctb], Jamie Lindh [ctb], Cecilia Martinez-Gallardo [ctb], Miles Massesy [ctb]
Maintainer: Joshua Allen <joshua.f.allen@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-19 12:00:10 UTC

More information about ecdata at CRAN
Permanent link

New package CSTE with initial version 3.0.0
Package: CSTE
Version: 3.0.0
Date: 2024-11-16
Title: Covariate Specific Treatment Effect (CSTE) Curve
Description: A uniform statistical inferential tool in making individualized treatment decisions, which implements the methods of Ma et al. (2017)<DOI:10.1177/0962280214541724> and Guo et al. (2021)<DOI:10.1080/01621459.2020.1865167>. It uses a flexible semiparametric modeling strategy for heterogeneous treatment effect estimation in high-dimensional settings and can gave valid confidence bands. Based on it, one can find the subgroups of patients that benefit from each treatment, thereby making individualized treatment selection.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.4), fda, splines, survival, locpol, dfoptim
LinkingTo: Rcpp
Suggests: mvtnorm, sigmoid
NeedsCompilation: yes
Packaged: 2024-11-18 16:47:21 UTC; wenjiehu
Author: Peng Wu [aut], Wenjie Hu [aut, cre], Yuhao Deng [aut], Haoxiang Wang [aut], Xiaohua Zhou [aut]
Maintainer: Wenjie Hu <huwenjie@pku.edu.cn>
Repository: CRAN
Date/Publication: 2024-11-19 12:00:15 UTC

More information about CSTE at CRAN
Permanent link

New package where with initial version 1.0.0
Package: where
Title: Vectorised Substitution and Evaluation
Version: 1.0.0
Description: Provides a clean syntax for vectorising the use of Non-Standard Evaluation (NSE), for example in 'ggplot2', 'dplyr', or 'data.table'.
License: MIT + file LICENSE
URL: https://github.com/KiwiMateo/where
BugReports: https://github.com/KiwiMateo/where/issues
Suggests: data.table, dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-18 06:45:14 UTC; OEM
Author: Matt Hendtlass [aut, cre]
Maintainer: Matt Hendtlass <m.hendtlass@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-19 09:40:02 UTC

More information about where at CRAN
Permanent link

New package OutSeekR with initial version 1.0.0
Package: OutSeekR
Title: Statistical Approach to Outlier Detection in RNA-Seq and Related Data
Version: 1.0.0
Date: 2024-11-15
Description: An approach to outlier detection in RNA-seq and related data based on five statistics. 'OutSeekR' implements an outlier test by comparing the distributions of these statistics in observed data with those of simulated null data.
Depends: R (>= 2.10)
Imports: future.apply, gamlss, gamlss.dist, lsa, truncnorm
Suggests: future, knitr, rmarkdown, testthat (>= 3.0.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-15 23:56:34 UTC; danknight
Author: Jee Yun Han [aut], John Sahrmann [aut], Jaron Arbet [ctb], Paul Boutros [aut, cre, cph]
Maintainer: Paul Boutros <pboutros@mednet.ucla.edu>
Repository: CRAN
Date/Publication: 2024-11-19 09:10:05 UTC

More information about OutSeekR at CRAN
Permanent link

New package multiDoE with initial version 0.9.2
Package: multiDoE
Title: Multi-Criteria Design of Experiments for Optimal Design
Version: 0.9.2
Maintainer: Andrea Melloncelli <andrea.melloncelli@vanlog.it>
Description: Multi-criteria design of experiments algorithm that simultaneously optimizes up to six different criteria ('I', 'Id', 'D', 'Ds', 'A' and 'As'). The algorithm finds the optimal Pareto front and, if requested, selects a possible symmetrical design on it. The symmetrical design is selected based on two techniques: minimum distance with the Utopia point or the 'TOPSIS' approach.
License: CC BY 4.0
URL: https://github.com/andreamelloncelli/multiDoE
Imports: ggplot2, magrittr, plotly, pracma
Suggests: devtools, here, knitr, logr, markdown, rgl, rmarkdown, testthat (>= 3.0.0), usethis
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-18 08:46:59 UTC; daco
Author: Francesca Cucchi [aut], Andrea Melloncelli [aut, cre], Francesco Sambo [aut], Kalliopi Mylona [aut], Matteo Borrotti [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-11-19 09:50:02 UTC

More information about multiDoE at CRAN
Permanent link

New package deident with initial version 1.0.0
Package: deident
Title: Persistent Data Anonymization Pipeline
Version: 1.0.0
Description: A framework for the replicable removal of personally identifiable data (PID) in data sets. The package implements a suite of methods to suit different data types based on the suggestions of Garfinkel (2015) <doi:10.6028/NIST.IR.8053> and the ICO "Guidelines on Anonymization" (2012) <https://ico.org.uk/media/1061/anonymisation-code.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), checkmate, knitr, rmarkdown, roxygen2
Imports: R6, dplyr, openssl, tidyselect, rlang (>= 0.4.11), glue, purrr, stringr, yaml, readr, openxlsx, lemon, withr, fs
Depends: R (>= 2.10)
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2024-11-18 11:36:38 UTC; rzc1
Author: Robert Cook [aut, cre] , Md Assaduzaman [aut] , Sarahjane Jones [aut]
Maintainer: Robert Cook <robert.cook@staffs.ac.uk>
Repository: CRAN
Date/Publication: 2024-11-19 09:50:06 UTC

More information about deident at CRAN
Permanent link

Mon, 18 Nov 2024

New package tsmarch with initial version 1.0.0
Package: tsmarch
Title: Multivariate ARCH Models
Description: Feasible Multivariate Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models including Dynamic Conditional Correlation (DCC), Copula GARCH and Generalized Orthogonal GARCH with Generalized Hyperbolic distribution. A review of some of these models can be found in Boudt, Galanos, Payseur and Zivot (2019) <doi:10.1016/bs.host.2019.01.001>.
Version: 1.0.0
Maintainer: Alexios Galanos <alexios@4dscape.com>
Depends: R (>= 3.5.0), methods, tsmethods (>= 1.0.2)
LinkingTo: Rcpp (>= 0.10.6), RcppArmadillo, RcppParallel, RcppBessel
SystemRequirements: GNU make
Imports: Rcpp, RcppParallel, tsgarch (>= 1.0.3), tsdistributions (>= 1.0.2), RcppBessel, Rsolnp, nloptr, numDeriv, abind, shape, Rdpack, xts, zoo, lubridate, sandwich, future.apply, future, stats, utils, data.table
License: GPL-2
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/tsmodels/tsmarch/issues
ByteCompile: true
URL: https://github.com/tsmodels/tsmarch, https://www.nopredict.com
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tstests
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-11-15 10:33:37 UTC; alexios
Author: Alexios Galanos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-18 13:30:02 UTC

More information about tsmarch at CRAN
Permanent link

New package effectplots with initial version 0.1.0
Package: effectplots
Title: Effect Plots
Version: 0.1.0
Description: High-performance implementation of various effect plots useful for regression and probabilistic classification tasks. The package includes partial dependence plots (Friedman, 2021, <doi:10.1214/aos/1013203451>), accumulated local effect plots and M-plots (both from Apley and Zhu, 2016, <doi:10.1111/rssb.12377>), as well as plots that describe the statistical associations between model response and features. It supports visualizations with either 'ggplot2' or 'plotly', and is compatible with most models, including 'Tidymodels', models wrapped in 'DALEX' explainers, or models with case weights.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: collapse, ggplot2, grDevices, patchwork, plotly, Rcpp, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/mayer79/effectplots
BugReports: https://github.com/mayer79/effectplots/issues
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-11-15 11:30:14 UTC; mayer
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-18 13:50:04 UTC

More information about effectplots at CRAN
Permanent link

New package CareDensity with initial version 0.1.0
Package: CareDensity
Title: Calculate the Care Density or Fragmented Care Density Given a Patient-Sharing Network
Version: 0.1.0
Maintainer: Robin Denz <robin.denz@rub.de>
Description: Given a patient-sharing network, calculate either the classic care density as proposed by Pollack et al. (2013) <doi:10.1007/s11606-012-2104-7> or the fragmented care density as proposed by Engels et al. (2024) <doi:10.1186/s12874-023-02106-0>. By utilizing the 'igraph' and 'data.table' packages, the provided functions scale well for very large graphs.
License: GPL (>= 3)
URL: https://github.com/RobinDenz1/CareDensity, https://robindenz1.github.io/CareDensity/
BugReports: https://github.com/RobinDenz1/CareDensity/issues
Depends: MatrixExtra
Imports: data.table, igraph (>= 2.0.0), utils
Suggests: knitr, rmarkdown, testthat (>= 3.2.1), covr
VignetteBuilder: knitr
Contact: <robin.denz@rub.de>
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-15 12:09:25 UTC; Robin Denz
Author: Robin Denz [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-18 13:50:11 UTC

More information about CareDensity at CRAN
Permanent link

New package bfboinet with initial version 0.1.0
Package: bfboinet
Title: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity
Version: 0.1.0
Description: The backfill Bayesian optimal interval design using efficacy and toxicity outcomes for dose optimization (BF-BOIN-ET) design is a novel clinical trial design to allow patients to be backfilled at lower doses during a dose-finding trial while prioritizing the dose-escalation cohort to explore a higher dose. The advantages compared to the other designs in terms of the percentage of correct optimal dose (OD) selection, reducing the sample size, and shortening the duration of the trial, in various realistic setting.
License: GPL-3
Encoding: UTF-8
Imports: Iso, copula, dplyr, tidyselect, magrittr
NeedsCompilation: no
Packaged: 2024-11-15 08:59:14 UTC; A4021579
Author: Jing Zhu [cre, aut], Kentaro Takeda [aut]
Maintainer: Jing Zhu <zhujing716@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-18 13:30:09 UTC

More information about bfboinet at CRAN
Permanent link

Sat, 16 Nov 2024

New package dfr with initial version 0.1.1
Package: dfr
Title: Dual Feature Reduction for SGL
Version: 0.1.1
Date: 2024-11-16
Maintainer: Fabio Feser <ff120@ic.ac.uk>
Description: Implementation of the Dual Feature Reduction (DFR) approach for the Sparse Group Lasso (SGL) and the Adaptive Sparse Group Lasso (aSGL) (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.17094>). The DFR approach is a feature reduction approach that applies strong screening to reduce the feature space before optimisation, leading to speed-up improvements for fitting SGL (Simon et al. (2013) <doi:10.1080/10618600.2012.681250>) and aSGL (Mendez-Civieta et al. (2020) <doi:10.1007/s11634-020-00413-8> and Poignard (2020) <doi:10.1007/s10463-018-0692-7>) models. DFR is implemented using the Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) algorithm, with linear and logistic SGL models supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported.
Imports: sgs, caret, MASS, methods, stats, grDevices, graphics, Matrix
Suggests: SGL, gglasso, glmnet, testthat
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ff1201/dfr
BugReports: https://github.com/ff1201/dfr/issues
NeedsCompilation: no
Packaged: 2024-11-16 10:32:08 UTC; ff120
Author: Fabio Feser [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-16 16:20:01 UTC

More information about dfr at CRAN
Permanent link

New package sgs with initial version 0.3.1
Package: sgs
Title: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Version: 0.3.1
Date: 2024-11-16
Maintainer: Fabio Feser <ff120@ic.ac.uk>
Description: Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) <doi:10.48550/arXiv.2305.09467>) models. Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) implementation is provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) <doi:10.1080/01621459.2017.1411269>) and group-based OSCAR models (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) are also implemented. All models are available with strong screening rules (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) for computational speed-up.
Imports: Matrix, MASS, caret, grDevices, graphics, methods, stats, SLOPE, Rlab, Rcpp (>= 1.0.10)
LinkingTo: Rcpp, RcppArmadillo
Suggests: SGL, gglasso, glmnet, testthat, knitr, grpSLOPE, rmarkdown
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ff1201/sgs
BugReports: https://github.com/ff1201/sgs/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-11-16 10:33:20 UTC; ff120
Author: Fabio Feser [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-16 14:20:02 UTC

More information about sgs at CRAN
Permanent link

Fri, 15 Nov 2024

New package GeoTox with initial version 0.2.0
Package: GeoTox
Title: Spatiotemporal Mixture Risk Assessment
Version: 0.2.0
Description: Connecting spatiotemporal exposure to individual and population-level risk via source-to-outcome continuum modeling. The package, methods, and case-studies are described in Messier, Reif, and Marvel (2024) <doi:10.1101/2024.09.23.24314096> and Eccles et al. (2023) <doi:10.1016/j.scitotenv.2022.158905>.
License: MIT + file LICENSE
URL: https://niehs.github.io/GeoTox/, https://github.com/NIEHS/GeoTox
Depends: R (>= 4.4.0)
Imports: dplyr, ggplot2, ggridges, rlang, sf, stats, stringr, tibble, tidyr, tidyselect, truncnorm, utils
Suggests: ggpubr, httk, httr2, knitr, purrr, readr, readxl, rmarkdown, scales, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/NIEHS/GeoTox/issues
NeedsCompilation: no
Packaged: 2024-11-14 17:29:09 UTC; marvelsw
Author: Skylar Marvel [aut] , David Reif [aut] , Kyle Messier [cre, aut] , Spatiotemporal Exposures and Toxicology Group [cph]
Maintainer: Kyle Messier <kyle.messier@nih.gov>
Repository: CRAN
Date/Publication: 2024-11-15 14:20:02 UTC

More information about GeoTox at CRAN
Permanent link

New package OPTeCD with initial version 1.0.0
Package: OPTeCD
Title: Optimal Partial Tetra-Allele Cross Designs
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: Tetra-allele cross often referred as four-way cross or double cross or four-line cross are those type of mating designs in which every cross is obtained by mating amongst four inbred lines. A tetra-allele cross can be obtained by crossing the resultant of two unrelated diallel crosses. A common triallel cross involving four inbred lines A, B, C and D can be symbolically represented as (A X B) X (C X D) or (A, B, C, D) or (A B C D) etc. Tetra-allele cross can be broadly categorized as Complete Tetra-allele Cross (CTaC) and Partial Tetra-allele Crosses (PTaC). Rawlings and Cockerham (1962)<doi:10.2307/2527461> firstly introduced and gave the method of analysis for tetra-allele cross hybrids using the analysis method of single cross hybrids under the assumption of no linkage. The set of all possible four-way mating between several genotypes (individuals, clones, homozygous lines, etc.) leads to a CTaC. If there are N number of inbred lines involved in a CTaC, the the total number of [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
NeedsCompilation: no
Packaged: 2024-11-15 06:17:26 UTC; Ashutosh
Author: Mohd Harun [aut, ctb], Cini Varghese [aut, ctb], Seema Jaggi [ctb], Eldho Varghese [ctb], Ashutosh Dalal [aut, cre]
Date/Publication: 2024-11-15 09:10:02 UTC

More information about OPTeCD at CRAN
Permanent link

New package wbids with initial version 0.1.0
Package: wbids
Title: Seamless Access to World Bank International Debt Statistics (IDS)
Version: 0.1.0
Description: Access and analyze the World Bank’s International Debt Statistics (IDS) <https://datacatalog.worldbank.org/search/dataset/0038015>. IDS provides creditor-debtor relationships between countries, regions, and institutions. 'wbids' enables users to download, process and work with IDS series across multiple geographies, counterparts, and time periods.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, withr, httr2 (>= 1.0.0), dplyr (>= 1.0.0), purrr (>= 1.0.0), tidyr (>= 1.0.0), rlang (>= 1.0.0)
Suggests: curl, jsonlite, tibble, lintr (>= 3.1.2), quarto, readxl (>= 1.0.0), rmarkdown, testthat (>= 3.0.0), languageserver (>= 0.3.16)
URL: https://teal-insights.github.io/r-wbids/, https://github.com/teal-insights/r-wbids/
BugReports: https://github.com/teal-insights/r-wbids/issues
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2024-11-14 15:55:27 UTC; teal_emery
Author: Teal Emery [aut, cre], Teal Insights [cph], Christoph Scheuch [aut] , Christopher Smith [ctb]
Maintainer: Teal Emery <lte@tealinsights.com>
Repository: CRAN
Date/Publication: 2024-11-15 09:00:02 UTC

More information about wbids at CRAN
Permanent link

New package ReportSubtotal with initial version 0.1
Package: ReportSubtotal
Title: Adds Subtotals to Data Reports
Version: 0.1
Description: Adds subtotal rows / sections (a la the SAS "Proc Tabulate" "All" option) to a Group By output by running a series of Group By functions with partial sets of the same variables and combining the results with the original. Can be used to add comprehensive information to a data report or to quickly aggregate Group By outputs used to gain a greater understanding of data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tidyselect, utils, magrittr
NeedsCompilation: no
Packaged: 2024-11-14 17:36:27 UTC; yonia
Author: Yoni Aboody [aut, cre, cph]
Maintainer: Yoni Aboody <yoniaboody@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-15 09:00:13 UTC

More information about ReportSubtotal at CRAN
Permanent link

New package quicR with initial version 1.0.2
Package: quicR
Title: RT-QuIC Data Formatting and Analysis
Version: 1.0.2
Description: Designed for the curation and analysis of data generated from real-time quaking-induced conversion (RT-QuIC) assays first described by Atarashi et al. (2011) <doi:10.1038/nm.2294>. 'quicR' calculates useful metrics such as maxpoint ratio: Rowden et al. (2023) <doi:10.1099/vir.0.069906-0>; time-to-threshold: Shi et al. (2013) <doi:10.1186/2051-5960-1-44>; and maximum slope. Integration with the output from plate readers allows for seamless input of raw data into the R environment.
Imports: dplyr, ggplot2, openxlsx, readxl, reshape2, slider, stats, stringr, tidyr
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.1.0)
NeedsCompilation: no
Packaged: 2024-11-14 18:14:24 UTC; rowde002
Author: Gage Rowden [aut, cre]
Maintainer: Gage Rowden <gage.rowden1145@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-15 09:00:05 UTC

More information about quicR at CRAN
Permanent link

New package necountries with initial version 0.1-1
Package: necountries
Version: 0.1-1
Date: 2024-11-14
Title: Countries of the World
Depends: R (>= 4.0.0)
Imports: Rdpack, tibble, ggplot2, sf, dplyr, ggrepel, rlang, classInt, stringr, magrittr, stringi
Description: Based on Natural Earth <https://www.naturalearthdata.com/>, a subset of countries can easily be selected with their administrative boundaries, joined with an external data frame and plotted as a thematic map.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://www.R-project.org
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
LazyData: true
NeedsCompilation: no
Suggests: knitr, tidyr, purrr, quarto
VignetteBuilder: quarto
Packaged: 2024-11-14 12:12:10 UTC; yves
Repository: CRAN
Date/Publication: 2024-11-15 09:00:10 UTC

More information about necountries at CRAN
Permanent link

New package HMMRel with initial version 0.1.0
Package: HMMRel
Title: Hidden Markov Models for Reliability and Maintenance
Version: 0.1.0
Author: M.L. Gamiz [aut, cre, cph], N. Limnios [aut, cph], M.C. Segovia-Garcia [aut, cph]
Maintainer: M.L. Gamiz <mgamiz@ugr.es>
Description: Reliability Analysis and Maintenance Optimization using Hidden Markov Models (HMM). The use of HMMs to model the state of a system which is not directly observable and instead certain indicators (signals) of the true situation are provided via a control system. A hidden model can provide key information about the system dependability, such as the reliability of the system and related measures. An estimation procedure is implemented based on the Baum-Welch algorithm. Classical structures such as K-out-of-N systems and Shock models are illustrated. Finally, the maintenance of the system is considered in the HMM context and two functions for new preventive maintenance strategies are considered. Maintenance efficiency is measured in terms of expected cost. Maintenance efficiency is measured in terms of expected cost. Methods are described in Gamiz, Limnios, and Segovia-Garcia (2023) <doi:10.1016/j.ejor.2022.05.006>.
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-14 19:44:04 UTC; Usuario
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-11-15 09:00:17 UTC

More information about HMMRel at CRAN
Permanent link

New package redatam with initial version 2.0.4
Package: redatam
Title: Import 'REDATAM' Files
Version: 2.0.4
Imports: data.table, janitor, stringi, stringr, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R(>= 3.5.0)
Description: Import 'REDATAM' formats into R via the 'Open REDATAM' C++ library <https://github.com/litalbarkai/open-redatam> based on De Grande (2016) <https://www.jstor.org/stable/24890658>.
License: Apache License (>= 2)
URL: https://github.com/litalbarkai/open-redatam
BugReports: https://github.com/litalbarkai/open-redatam/issues
Encoding: UTF-8
NeedsCompilation: yes
VignetteBuilder: knitr
LinkingTo: cpp11
Packaged: 2024-11-15 02:58:01 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Lital Barkai [aut], Ivan Krylov [ctb], Arseny Kapoulkine [ctb] , Oriental Republic of Uruguay [dtc]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-11-15 07:30:02 UTC

More information about redatam at CRAN
Permanent link

Thu, 14 Nov 2024

New package shinyMixR with initial version 0.5.0
Package: shinyMixR
Title: Interactive 'shiny' Dashboard for 'nlmixr2'
Version: 0.5.0
Description: An R shiny user interface for the 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>) package, designed to simplify the modeling process for users. Additionally, this package includes supplementary functions to further enhances the usage of 'nlmixr2'.
Depends: R (>= 3.5.0), shiny, ggplot2
Imports: gridExtra, collapsibleTree, shinyAce, DT, bs4Dash, shinyWidgets, stringi, R3port, whisker, plotly, patchwork, shinyjs, ps, xfun, fresh, nlmixr2, nlmixr2est, magrittr, cli
Suggests: xpose, xpose.nlmixr2, nlme, testthat, shinytest2, knitr, rmarkdown, rlang, miniUI, shinyFiles, rstudioapi
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-14 14:25:49 UTC; r.hooijmaijers
Author: Richard Hooijmaijers [aut, cre, cph], Teun Post [aut, cph], LAPP Consultants [fnd, cph], Matthew Fidler [ctb], Veerle van Leemput [ctb]
Maintainer: Richard Hooijmaijers <richardhooijmaijers@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-14 16:10:03 UTC

More information about shinyMixR at CRAN
Permanent link

New package mapindia with initial version 1.0.1
Package: mapindia
Title: Plot Map of the Indian Subcontinent
Version: 1.0.1
Maintainer: Shubham Dutta <shubhamdutta26@gmail.com>
Description: Get map data frames for the Indian subcontinent with different region levels (e.g., district, state). The package also offers convenience functions for plotting choropleths, visualizing spatial data, and handling state/district codes.
License: MIT + file LICENSE
URL: https://github.com/shubhamdutta26/mapindia, https://www.shubhamdutta.com/mapindia/
BugReports: https://github.com/shubhamdutta26/mapindia/issues
Depends: R (>= 2.10)
Imports: ggplot2, mapindiatools, rlang, sf, vdiffr
Suggests: knitr, patchwork, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-14 15:15:37 UTC; shubham
Author: Shubham Dutta [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-14 16:10:07 UTC

More information about mapindia at CRAN
Permanent link

New package EDCimport with initial version 0.5.2
Package: EDCimport
Version: 0.5.2
Title: Import Data from EDC Software
Description: A convenient toolbox to import data exported from Electronic Data Capture (EDC) software 'TrialMaster'.
License: GPL-3
URL: https://github.com/DanChaltiel/EDCimport, https://danchaltiel.github.io/EDCimport/
BugReports: https://github.com/DanChaltiel/EDCimport/issues
Depends: R (>= 3.1.0)
Imports: cli, dplyr, forcats, fs, glue, ggplot2, haven, purrr, readr, rlang, scales, stringr, tibble, tidyr, tidyselect, utils, lifecycle
Suggests: callr, crosstable, gtools, htmlwidgets, janitor, knitr, openxlsx, patchwork, plotly, quarto, rmarkdown, rstudioapi, testthat (>= 3.1.8), usethis, vdiffr, withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-14 14:14:50 UTC; Dan
Author: Dan Chaltiel [aut, cre]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-14 16:10:11 UTC

More information about EDCimport at CRAN
Permanent link

New package visvaR with initial version 1.0.0
Package: visvaR
Title: Shiny-Based Statistical Solutions for Agricultural Research
Version: 1.0.0
Description: Visualize Variance is an intuitive 'shiny' applications tailored for agricultural research data analysis, including one-way and two-way analysis of variance, correlation, and other essential statistical tools. Users can easily upload their datasets, perform analyses, and download the results as a well-formatted document, streamlining the process of data analysis and reporting in agricultural research.The experimental design methods are based on classical work by Fisher (1925) and Scheffe (1959). The correlation visualization approaches follow methods developed by Wei & Simko (2021) and Friendly (2002) <doi:10.1198/000313002533>.
License: AGPL (>= 3)
Encoding: UTF-8
URL: https://github.com/rameshram96/visvaR, https://rameshram96.github.io/visvaR/
BugReports: https://github.com/rameshram96/visvaR/issues
Imports: agricolae, bslib, corrplot, flextable, ggcorrplot, ggplot2, officer, patchwork, shiny, tibble, tidyr, rlang, dplyr, DT, readxl, htmltools, utils, stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), writexl, shinytest2, extrafont
NeedsCompilation: no
Packaged: 2024-11-14 06:02:52 UTC; Ramesh_PhD
Author: Ramesh Ramasamy [aut, cre, cph] , Mathiyarasi Kulandaivadivel [ctb], Tamilselvan Arumugam [ctb]
Maintainer: Ramesh Ramasamy <ramesh.rahu96@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-14 15:50:02 UTC

More information about visvaR at CRAN
Permanent link

New package TFM with initial version 0.1.0
Package: TFM
Title: Sparse Online Principal Component for TFM
Version: 0.1.0
Description: The Truncated Factor Model is a statistical model designed to handle specific data structures in data analysis. This R package focuses on the Sparse Online Principal Component Estimation method, which is used to calculate data such as the loading matrix and specific variance matrix for truncated data, thereby better explaining the relationship between common factors and original variables. Additionally, the R package also provides other equations for comparison with the Sparse Online Principal Component Estimation method.The philosophy of the package is described in Guangbao Guo. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Suggests: rmarkdown, psych
Depends: R (>= 3.0)
Encoding: UTF-8
Language: en-US
Author: Beibei Wu [aut], Guangbao Guo [aut, cre]
NeedsCompilation: yes
Maintainer: Guangbao Guo <ggb11111111@163.com>
Imports: relliptical, SOPC, MASS, mvtnorm
Packaged: 2024-11-12 08:34:55 UTC; 14218
Repository: CRAN
Date/Publication: 2024-11-14 15:40:07 UTC

More information about TFM at CRAN
Permanent link

New package sivirep with initial version 1.0.0
Package: sivirep
Title: Data Wrangling and Automated Reports from 'SIVIGILA' Source
Version: 1.0.0
Description: Data wrangling, pre-processing, and generating automated reports from Colombia's epidemiological surveillance system, 'SIVIGILA' <https://portalsivigila.ins.gov.co/>. It provides a customizable R Markdown template for analysis and automatic generation of epidemiological reports that can be adapted to local, regional, and national contexts. This tool offers a standardized and reproducible workflow that helps to reduce manual labor and potential errors in report generation, improving their efficiency and consistency.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: config, dplyr, ggplot2, httr2, stringr, xml2, epitrix, sf, readxl, rlang, tools, sysfonts, showtext, kableExtra
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Depends: R (>= 4.0.0)
VignetteBuilder: knitr
Language: es_ES
URL: https://epiverse-trace.github.io/sivirep/, https://github.com/epiverse-trace/sivirep
BugReports: https://github.com/epiverse-trace/sivirep/issues
NeedsCompilation: no
Packaged: 2024-11-14 03:38:35 UTC; geral
Author: Geraldine Gomez-Millan [aut, cre, ctb] , Zulma M. Cucunuba [aut, ctb] , Jennifer A. Mendez-Romero [aut, ctb] , Claudia Huguett-Aragon [aut, ctb] , Hugo Gruson [ctb] , Juanita Romero-Garces [ctb] , Jaime Pavlich-Mariscal [ctb] , Laura Gomez Bermeo [ct [...truncated...]
Maintainer: Geraldine Gomez-Millan <geralidine.gomez@javeriana.edu.co>
Repository: CRAN
Date/Publication: 2024-11-14 15:50:05 UTC

More information about sivirep at CRAN
Permanent link

New package ReSurv with initial version 1.0.0
Package: ReSurv
Title: Machine Learning Models for Predicting Claim Counts
Version: 1.0.0
Description: Prediction of claim counts using the feature based development factors introduced in the manuscript Hiabu M., Hofman E. and Pittarello G. (2023) <doi:10.48550/arXiv.2312.14549>. Implementation of Neural Networks, Extreme Gradient Boosting, and Cox model with splines to optimise the partial log-likelihood of proportional hazard models.
URL: https://github.com/edhofman/ReSurv
BugReports: https://github.com/edhofman/ReSurv/issues
License: GPL (>= 2)
Depends: tidyverse
Imports: stats, dplyr, dtplyr, fastDummies, forecast, data.table, purrr, tidyr, tibble, ggplot2, survival, reshape2, bshazard, SynthETIC, rpart, reticulate, xgboost, SHAPforxgboost
SystemRequirements: Python (>= 3.8.0)
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-11-14 08:40:52 UTC; gpitt
Author: Emil Hofman [aut, cre, cph], Gabriele Pittarello [aut, cph] , Munir Hiabu [aut, cph]
Maintainer: Emil Hofman <emil_hofman@hotmail.dk>
Repository: CRAN
Date/Publication: 2024-11-14 16:00:10 UTC

More information about ReSurv at CRAN
Permanent link

New package powertools with initial version 0.1.0
Package: powertools
Title: Power and Sample Size Tools
Version: 0.1.0
Maintainer: Catherine M. Crespi <ccrespi@ucla.edu>
Description: Power and sample size calculations for a variety of study designs and outcomes. Methods include t tests, ANOVA (including tests for interactions, simple effects and contrasts), proportions, categorical data (chi-square tests and proportional odds), linear, logistic and Poisson regression, alternative and coprimary endpoints, power for confidence intervals, correlation coefficient tests, cluster randomized trials, individually randomized group treatment trials, multisite trials, treatment-by-covariate interaction effects and nonparametric tests of location. Utilities are provided for computing various effect sizes. Companion package to the book "Power and Sample Size in R", Crespi (2025, ISBN:9781138591622).
URL: https://github.com/powerandsamplesize/powertools
BugReports: https://github.com/powerandsamplesize/powertools/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: mvtnorm, PowerTOST, Hmisc, stats, knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-13 21:22:52 UTC; zichenliu
Author: Catherine M. Crespi [aut, cre], Zichen Liu [aut], Kristen M. McGreevy [ctb]
Repository: CRAN
Date/Publication: 2024-11-14 14:00:07 UTC

More information about powertools at CRAN
Permanent link

New package PerRegMod with initial version 4.4.1
Package: PerRegMod
Maintainer: Slimane Regui <slimaneregui111997@gmail.com>
Title: Fitting Periodic Coefficients Linear Regression Models
Version: 4.4.1
Description: Provides tools for fitting periodic coefficients regression models to data where periodicity plays a crucial role. It allows users to model and analyze relationships between variables that exhibit cyclical or seasonal patterns, offering functions for estimating parameters and testing the periodicity of coefficients in linear regression models. For simple periodic coefficient regression model see Regui et al. (2024) <doi:10.1080/03610918.2024.2314662>.
License: GPL
Encoding: UTF-8
Imports: expm, readxl, sn
URL: https://doi.org/10.1080/03610918.2024.2314662
Packaged: 2024-11-14 14:15:20 UTC; slima
NeedsCompilation: no
Author: Slimane Regui [aut, cre] , Abdelhadi Akharif [aut], Amal Mellouk [aut]
Repository: CRAN
Date/Publication: 2024-11-14 16:00:14 UTC

More information about PerRegMod at CRAN
Permanent link

New package lovecraftr with initial version 1.0.0
Package: lovecraftr
Title: A Collection of Lovecraftian Tales and Texts
Version: 1.0.0
Maintainer: Ruff Sergej <serijnh@gmail.com>
Description: A curated collection of Howard Phillips Lovecraft's complete stories, collected for the purpose of text analysis.
License: GPL (>= 3)
URL: https://github.com/SergejRuff/lovecraftr
BugReports: https://github.com/SergejRuff/lovecraftr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-13 20:57:25 UTC; sergej
Author: Ruff Sergej [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-14 14:00:29 UTC

More information about lovecraftr at CRAN
Permanent link

New package VecDep with initial version 0.1.3
Package: VecDep
Title: Measuring Copula-Based Dependence Between Random Vectors
Version: 0.1.3
Description: Provides functions for estimation (parametric, semi-parametric and non-parametric) of copula-based dependence coefficients between a finite collection of random vectors, including phi-dependence measures and Bures-Wasserstein dependence measures. An algorithm for agglomerative hierarchical variable clustering is also implemented. Following the articles De Keyser & Gijbels (2024) <doi:10.1016/j.jmva.2024.105336>, De Keyser & Gijbels (2024) <doi:10.1016/j.ijar.2023.109090>, and De Keyser & Gijbels (2024) <doi:10.48550/arXiv.2404.07141>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/StevenDeKeyser98/VecDep
BugReports: https://github.com/StevenDeKeyser98/VecDep/issues
Depends: R (>= 4.4.0)
Imports: ElliptCopulas (>= 0.1.4.1), HAC (>= 1.1-1), hash (>= 2.2.6.3), sets (>= 1.0-25), covglasso (>= 1.0.3), expm (>= 1.0-0), magic (>= 1.6-1), pbapply (>= 1.7-2), Rmpfr (>= 0.9-5), reticulate (>= 1.39.0), gtools (>= 3.9.5)
Suggests: mvtnorm, ggplot2, extraDistr, fossil, dendextend, copula, knitr, rmarkdown, testthat (>= 3.0.0)
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-13 20:10:33 UTC; u0149189
Author: Steven De Keyser [aut, cre] , Irene Gijbels [ctb]
Maintainer: Steven De Keyser <steven.dekeyser@kuleuven.be>
Repository: CRAN
Date/Publication: 2024-11-14 13:50:19 UTC

More information about VecDep at CRAN
Permanent link

New package RobustPrediction with initial version 0.1.4
Package: RobustPrediction
Title: Robust Tuning and Training for Cross-Source Prediction
Version: 0.1.4
Maintainer: Yuting He <Yuting.He@campus.lmu.de>
Description: Provides robust parameter tuning and model training for predictive models across data sources. This package implements three primary tuning methods: cross-validation-based internal tuning, external tuning, and the 'RobustTuneC' method. It supports Lasso, Ridge, Random Forest, Boosting, and Support Vector Machine classifiers. The tuning methods are based on the paper by Nicole Ellenbach, Anne-Laure Boulesteix, Bernd Bischl, Kristian Unger, and Roman Hornung (2021) "Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning" <doi:10.1007/s00357-020-09368-z>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
Depends: R (>= 3.5.0)
Imports: glmnet, mboost, mlr, ranger, e1071, pROC
URL: https://github.com/Yuting-He/RobustPrediction
Packaged: 2024-11-13 16:25:05 UTC; yutin
Author: Yuting He [aut, cre], Nicole Ellenbach [ctb], Roman Hornung [ctb]
Repository: CRAN
Date/Publication: 2024-11-14 13:30:08 UTC

More information about RobustPrediction at CRAN
Permanent link

New package RegrCoeffsExplorer with initial version 1.1.0
Package: RegrCoeffsExplorer
Title: Efficient Visualization of Regression Coefficients for lm(), glm(), and glmnet() Objects
Version: 1.1.0
Imports: dplyr, ggpubr, gridExtra, glmnet, ggplot2, magrittr, grDevices, rlang, stats
Description: The visualization tool offers a nuanced understanding of regression dynamics, going beyond traditional per-unit interpretation of continuous variables versus categorical ones. It highlights the impact of unit changes as well as larger shifts like interquartile changes, acknowledging the distribution of empirical data. Furthermore, it generates visualizations depicting alterations in Odds Ratios for predictors across minimum, first quartile, median, third quartile, and maximum values, aiding in comprehending predictor-outcome interplay within empirical data distributions, particularly in logistic regression frameworks.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: faraway, knitr, MASS, psych, rmarkdown, selectiveInference, survival
VignetteBuilder: knitr
URL: https://vadimtyuryaev.github.io/RegrCoeffsExplorer/
NeedsCompilation: no
Packaged: 2024-11-13 20:38:35 UTC; vadim
Author: Vadim Tyuryaev [aut, cre] , Aleksandr Tsybakin [aut], Jane Heffernan [aut], Hanna Jankowski [aut], Kevin McGregor [aut]
Maintainer: Vadim Tyuryaev <vadim.tyuryaev@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-14 13:50:49 UTC

More information about RegrCoeffsExplorer at CRAN
Permanent link

New package JANE with initial version 0.1.1
Package: JANE
Title: Just Another Latent Space Network Clustering Algorithm
Version: 0.1.1
Description: Fit and simulate latent space network cluster models using an expectation-maximization algorithm. Enables flexible modeling of unweighted network data, supporting both directed and undirected networks, with or without degree heterogeneity. Designed to handle large networks efficiently, it allows users to explore network structure through latent space representations, identify clusters within network data, and simulate models with varying clustering and connectivity patterns.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp (>= 1.0.10), Matrix, extraDistr, mclust, scales, aricode, stringdist, utils, splines, rlang, future.apply, future, progressr, progress, igraph, methods
URL: https://github.com/a1arakkal/JANE
BugReports: https://github.com/a1arakkal/JANE/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-11-13 16:59:35 UTC; alanarakkal
Author: Alan Arakkal [aut, cre, cph] , Daniel Sewell [aut]
Maintainer: Alan Arakkal <alan-arakkal@uiowa.edu>
Repository: CRAN
Date/Publication: 2024-11-14 13:40:03 UTC

More information about JANE at CRAN
Permanent link

New package HiGarrote with initial version 1.0
Package: HiGarrote
Title: Nonnegative Garrote Method Incorporating Hierarchical Relationships
Version: 1.0
Date: 2024-11-08
Author: Wei-Yang Yu [aut, cre], V. Roshan Joseph [aut]
Maintainer: Wei-Yang Yu <wyu322@gatech.edu>
Description: An implementation of the nonnegative garrote method that incorporates hierarchical relationships among variables. The core function, HiGarrote(), offers an automated approach for analyzing experiments while respecting hierarchical structures among effects. For methodological details, refer to Yu and Joseph (2024) <doi:10.48550/arXiv.2411.01383>. This work is supported by U.S. National Science Foundation grant DMS-2310637.
License: GPL (>= 2)
Imports: Matrix, MaxPro, nloptr, purrr, quadprog, Rcpp (>= 1.0.12), RcppArmadillo, rlist, scales, stringr
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-11-13 16:06:24 UTC; weiyang
Repository: CRAN
Date/Publication: 2024-11-14 13:30:37 UTC

More information about HiGarrote at CRAN
Permanent link

New package clustur with initial version 0.1.0
Package: clustur
Title: Clustering
Version: 0.1.0
Date: 2024-10-18
Maintainer: Patrick Schloss <pschloss@umich.edu>
Description: A tool that implements the clustering algorithms from 'mothur' (Schloss PD et al. (2009) <doi:10.1128/AEM.01541-09>). 'clustur' make use of the cluster() and make.shared() command from 'mothur'. Our cluster() function has five different algorithms implemented: 'OptiClust', 'furthest', 'nearest', 'average', and 'weighted'. 'OptiClust' is an optimized clustering method for Operational Taxonomic Units, and you can learn more here, (Westcott SL, Schloss PD (2017) <doi:10.1128/mspheredirect.00073-17>). The make.shared() command is always applied at the end of the clustering command. This functionality allows us to generate and create clustering and abundance data efficiently.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Matrix, methods, Rcpp (>= 1.0.12), utils
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, testthat
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2
VignetteBuilder: knitr
URL: http://www.schlosslab.org/clustur/, https://github.com/SchlossLab/clustur
BugReports: https://github.com/SchlossLab/clustur/issues
NeedsCompilation: yes
Packaged: 2024-11-13 18:38:22 UTC; grejoh
Author: Gregory Johnson [aut] , Sarah Westcott [aut], Patrick Schloss [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-14 13:50:05 UTC

More information about clustur at CRAN
Permanent link

New package Bios2cor with initial version 2.2.2
Package: Bios2cor
Title: From Biological Sequences and Simulations to Correlation Analysis
Version: 2.2.2
Date: 2024-10-15
Author: Bruck Taddese [aut], Antoine Garnier [aut], Madeline Deniaud [aut], Julien Pele [ctb], Lea Bellenger [ctb], Jean-Michel Becu [ctb], Marie Chabbert [aut, cre]
Maintainer: Marie Chabbert <marie.chabbert@univ-angers.fr>
Depends: R (>= 3.5), bio3d, circular, bigmemory, parallel
Imports: igraph
Description: Utilities for computation and analysis of correlation/covariation in multiple sequence alignments and in side chain motions during molecular dynamics simulations. Features include the computation of correlation/covariation scores using a variety of scoring functions between either sequence positions in alignments or side chain dihedral angles in molecular dynamics simulations and utilities to analyze the correlation/covariation matrix through a variety of tools including network representation and principal components analysis. In addition, several utility functions are based on the R graphical environment to provide friendly tools for help in data interpretation. Examples of sequence covariation analysis are provided in: (1) Pele J, Moreau M, Abdi H, Rodien P, Castel H, Chabbert M (2014) <doi:10.1002/prot.24570> and (2) Taddese B, Deniaud M, Garnier A, Tiss A, Guissouma H, Abdi H, Henrion D, Chabbert M (2018) <doi:10.1371/journal.pcbi.1006209>. An example of side chain cor [...truncated...]
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-11-13 18:29:12 UTC; root
Repository: CRAN
Date/Publication: 2024-11-14 13:40:23 UTC

More information about Bios2cor at CRAN
Permanent link

New package autometric with initial version 0.1.1
Package: autometric
Title: Background Resource Logging
Description: Intense parallel workloads can be difficult to monitor. Packages 'crew.cluster', 'clustermq', and 'future.batchtools' distribute hundreds of worker processes over multiple computers. If a worker process exhausts its available memory, it may terminate silently, leaving the underlying problem difficult to detect or troubleshoot. Using the 'autometric' package, a worker can proactively monitor itself in a detached background thread. The worker process itself runs normally, and the thread writes to a log every few seconds. If the worker terminates unexpectedly, 'autometric' can read and visualize the log file to reveal potential resource-related reasons for the crash. The 'autometric' package borrows heavily from the methods of packages 'ps' <doi:10.32614/CRAN.package.ps> and 'psutil'.
Version: 0.1.1
License: MIT + file LICENSE
URL: https://wlandau.github.io/autometric/, https://github.com/wlandau/autometric
BugReports: https://github.com/wlandau/autometric/issues
Depends: R (>= 3.5.0)
Imports: graphics, utils
Suggests: grDevices, ps, tinytest
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2024-10-31 19:33:31 UTC; C240390
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph, fnd], Posit Software, PBC [cph] , Jay Loden [cph] , Dave Daeschler [cph] , Giampaolo Rodola [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-31 23:10:02 UTC

More information about autometric at CRAN
Permanent link

Wed, 13 Nov 2024

New package shinyWGD with initial version 1.0.0
Package: shinyWGD
Title: 'Shiny' Application for Whole Genome Duplication Analysis
Version: 1.0.0
Maintainer: Jia Li <li081766@gmail.com>
Description: Provides a comprehensive 'Shiny' application for analyzing Whole Genome Duplication ('WGD') events. This package provides a user-friendly 'Shiny' web application for non-experienced researchers to prepare input data and execute command lines for several well-known 'WGD' analysis tools, including 'wgd', 'ksrates', 'i-ADHoRe', 'OrthoFinder', and 'Whale'. This package also provides the source code for experienced researchers to adjust and install the package to their own server. Key Features 1) Input Data Preparation This package allows users to conveniently upload and format their data, making it compatible with various 'WGD' analysis tools. 2) Command Line Generation This package automatically generates the necessary command lines for selected 'WGD' analysis tools, reducing manual errors and saving time. 3) Visualization This package offers interactive visualizations to explore and interpret 'WGD' results, facilitating in-depth 'WGD' analysis. 4) Comparative Genomics Users can study and [...truncated...]
License: GPL-3
Encoding: UTF-8
SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
Imports: shiny, shinyalert, stringr, vroom, fs, tidyr, data.table, dplyr, ape, ks, mclust, htmltools, seqinr, httr, jsonlite
Suggests: tidyverse, knitr, rmarkdown, DT, argparse, bslib, bsplus, english, fontawesome, igraph, shinyBS, shinyFiles, shinyWidgets, shinyjs, stringi, tools, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-11-13 01:08:49 UTC; jiali
Author: Jia Li [aut, cre], Zhen Li [ctb], Arthur Zwaenepoel [ctb]
Repository: CRAN
Date/Publication: 2024-11-13 15:10:01 UTC

More information about shinyWGD at CRAN
Permanent link

New package cppcontainers with initial version 1.0.0
Package: cppcontainers
Title: 'C++' Standard Template Library Containers
Version: 1.0.0
Description: Use 'C++' Standard Template Library containers interactively in R. Includes sets, unordered sets, multisets, unordered multisets, maps, unordered maps, multimaps, unordered multimaps, stacks, queues, priority queues, vectors, deques, forward lists, and lists.
Encoding: UTF-8
URL: https://github.com/cdueben/cppcontainers
BugReports: https://github.com/cdueben/cppcontainers/issues
License: MIT + file LICENSE
Imports: base (>= 4.0.0), methods, Rcpp
LinkingTo: Rcpp
SystemRequirements: C++20
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-11-13 00:31:54 UTC; Christian
Author: Christian Dueben [aut, cre]
Maintainer: Christian Dueben <cdueben.ml+cran@proton.me>
Repository: CRAN
Date/Publication: 2024-11-13 15:10:05 UTC

More information about cppcontainers at CRAN
Permanent link

New package CBRT with initial version 0.1.1
Package: CBRT
Title: CBRT Data on Turkish Economy
Version: 0.1.1
Maintainer: Erol Taymaz <etaymaz@metu.edu.tr>
Description: The Central Bank of the Republic of Turkey (CBRT) provides one of the most comprehensive time series databases on the Turkish economy. The 'CBRT' package provides functions for accessing the CBRT's electronic data delivery system <https://evds2.tcmb.gov.tr/>. It contains the lists of all data categories and data groups for searching the available variables (data series). As of November 3, 2024, there were 40,826 variables in the dataset. The lists of data categories and data groups can be updated by the user at any time. A specific variable, a group of variables, or all variables in a data group can be downloaded at different frequencies using a variety of aggregation methods.
License: GPL-3
URL: https://github.com/etaymaz/CBRT
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), data.table, curl
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-12 19:47:30 UTC; etaymaz
Author: Erol Taymaz [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-13 15:10:10 UTC

More information about CBRT at CRAN
Permanent link

New package RCognito with initial version 0.1.0
Package: RCognito
Title: A Simplified Interface for 'Amazon Cognito'
Version: 0.1.0
Maintainer: Sanjaya J Shetty <shettysanjaya01@gmail.com>
Description: Simplifies integration with 'Amazon Cognito' (<https://aws.amazon.com/cognito/>) for R developers, enabling easy management of user authentication, registration, and password flows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: paws
Suggests: testthat (>= 3.0.0), mockery
NeedsCompilation: no
Packaged: 2024-11-12 14:26:18 UTC; sanjaya
Author: Sanjaya J Shetty [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-13 14:20:02 UTC

More information about RCognito at CRAN
Permanent link

New package PlotFTIR with initial version 1.0.0
Package: PlotFTIR
Title: Plot FTIR Spectra
Version: 1.0.0
Description: The goal of 'PlotFTIR' is to easily and quickly kick-start the production of journal-quality Fourier Transform Infra-Red (FTIR) spectral plots in R using 'ggplot2'. The produced plots can be published directly or further modified by 'ggplot2' functions. L'objectif de 'PlotFTIR' est de démarrer facilement et rapidement la production des tracés spectraux de spectroscopie infrarouge à transformée de Fourier (IRTF) de qualité journal dans R à l'aide de 'ggplot2'. Les tracés produits peuvent être publiés directement ou modifiés davantage par les fonctions 'ggplot2'.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: cli, rlang, scales
Depends: R (>= 3.3)
Suggests: testthat (>= 3.0.0), withr, ggplot2 (>= 3.0.0), ggthemes, knitr, rmarkdown, ir, ChemoSpec, R.utils
VignetteBuilder: knitr
BugReports: https://github.com/NRCan/PlotFTIR/issues
URL: https://github.com/NRCan/PlotFTIR
NeedsCompilation: no
Packaged: 2024-11-12 14:55:05 UTC; pbulsink
Author: Philip Bulsink [aut, cre] , Ulrich Makanda [trl] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources [cph]
Maintainer: Philip Bulsink <philip.bulsink@nrcan-rncan.gc.ca>
Repository: CRAN
Date/Publication: 2024-11-13 14:20:06 UTC

More information about PlotFTIR at CRAN
Permanent link

New package phylolm.hp with initial version 0.0-1
Package: phylolm.hp
Title: Hierarchical Partitioning of R2 for Phylogenetic Linear Regression
Version: 0.0-1
Date: 2024-11-12
Depends: R (>= 3.4.0),rr2,phylolm,ggplot2,vegan
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>
Description: Conducts hierarchical partitioning to calculate individual contributions of phylogenetic tree and predictors towards total R2 for phylogenetic linear regression models.
License: GPL
Encoding: UTF-8
URL: https://github.com/laijiangshan/phylolm.hp
NeedsCompilation: no
Packaged: 2024-11-12 02:04:29 UTC; lai
Author: Jiangshan Lai [aut, cre] , Gang Wang [aut]
Repository: CRAN
Date/Publication: 2024-11-13 14:10:02 UTC

More information about phylolm.hp at CRAN
Permanent link

New package hmsidwR with initial version 1.1.2
Package: hmsidwR
Title: Health Metrics and the Spread of Infectious Diseases
Version: 1.1.2
Description: A collection of datasets and supporting functions accompanying Health Metrics and the Spread of Infectious Diseases by Federica Gazzelloni (2024). This package provides data for health metrics calculations, including Disability-Adjusted Life Years (DALYs), Years of Life Lost (YLLs), and Years Lived with Disability (YLDs), as well as additional tools for analyzing and visualizing health data. Federica Gazzelloni (2024) <doi:10.5281/zenodo.10818338>.
License: MIT + file LICENSE
URL: https://github.com/Fgazzelloni/hmsidwR, https://fgazzelloni.github.io/hmsidwR/
BugReports: https://github.com/Fgazzelloni/hmsidwR/issues
Depends: R (>= 2.10)
Imports: ggplot2, gstat, purrr, showtext, sysfonts, tibble
Suggests: devtools, dplyr, geomtextpath, ggthemes, httr, janitor, knitr, lubridate, maps, pkgdown, plotly, readr, readxl, rmarkdown, sessioninfo, sf, stats, testthat (>= 3.0.0), tidyr, tidyverse
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-12 17:20:52 UTC; federicagazzelloni
Author: Federica Gazzelloni [aut, cre]
Maintainer: Federica Gazzelloni <fede.gazzelloni@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-13 15:00:02 UTC

More information about hmsidwR at CRAN
Permanent link

New package brickster with initial version 0.2.5
Package: brickster
Title: R Toolkit for 'Databricks'
Version: 0.2.5
Description: Collection of utilities that improve using 'Databricks' from R. Primarily functions that wrap specific 'Databricks' APIs (<https://docs.databricks.com/api>), 'RStudio' connection pane support, quality of life functions to make 'Databricks' simpler to use.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: arrow, base64enc, cli, curl, dplyr, glue, httr2, ini, jsonlite, purrr, reticulate, R6 (>= 2.4.0), rlang, tibble, utils
Suggests: testthat (>= 3.0.0), huxtable, htmltools, knitr, magick, rmarkdown, rstudioapi, withr
VignetteBuilder: knitr
URL: https://github.com/databrickslabs/brickster
NeedsCompilation: no
Packaged: 2024-11-12 07:54:34 UTC; zachary.davies
Author: Zac Davies [aut, cre], Rafi Kurlansik [aut], Databricks [cph, fnd]
Maintainer: Zac Davies <zac@databricks.com>
Repository: CRAN
Date/Publication: 2024-11-13 14:10:06 UTC

More information about brickster at CRAN
Permanent link

New package rcprd with initial version 0.0.1
Package: rcprd
Title: Extraction and Management of Clinical Practice Research Datalink Data
Version: 0.0.1
Description: Simplify the process of extracting and processing Clinical Practice Research Datalink (CPRD) data in order to build datasets ready for statistical analysis. This process is difficult in 'R', as the raw data is very large and cannot be read into the R workspace. 'rcprd' utilises 'RSQLite' to create 'SQLite' databases which are stored on the hard disk. These are then queried to extract the required information for a cohort of interest, and create datasets ready for statistical analysis. The processes follow closely that from the 'rEHR' package, see Springate et al., (2017) <doi:10.1371/journal.pone.0171784>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: data.table
Imports: dplyr, fastmatch, RSQLite, stringr
URL: https://alexpate30.github.io/rcprd/
NeedsCompilation: no
Packaged: 2024-11-11 22:30:47 UTC; mbrxsap3
Author: Alexander Pate [aut, cre, cph]
Maintainer: Alexander Pate <alexander.pate@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2024-11-13 14:00:02 UTC

More information about rcprd at CRAN
Permanent link

New package PepMapViz with initial version 1.0.0
Package: PepMapViz
Title: A Versatile Toolkit for Peptide Mapping, Visualization, and Comparative Exploration
Version: 1.0.0
Description: A versatile R visualization package that empowers researchers with comprehensive visualization tools for seamlessly mapping peptides to protein sequences, identifying distinct domains and regions of interest, accentuating mutations, and highlighting post-translational modifications, all while enabling comparisons across diverse experimental conditions. Potential applications of 'PepMapViz' include the visualization of cross-software mass spectrometry results at the peptide level for specific protein and domain details in a linearized format and post-translational modification coverage across different experimental conditions; unraveling insights into disease mechanisms. It also enables visualization of major histocompatibility complex-presented peptides in different antibody regions predicting immunogenicity in antibody drug development.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, stringr, ggforce, ggh4x, ggnewscale, data.table, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-11 21:36:29 UTC; zhouz45
Maintainer: Zhenru Zhou <zhou.zhenru@gene.com>
Note: The following words are correctly spelled domain-specific terms: MHC, 'PepMapViz', immunogenicity, linearized, spectrometry, translational. The package includes large datasets in the 'extdata' directory, which are essential for demonstrating the functionality and performance of the tools provided. These datasets are necessary for reproducibility and comprehensive testing.
Author: Zhenru Zhou [aut, cre], Qui Phung [ctb], Corey Bakalarski [aut], Genentech, Inc. [cph]
Repository: CRAN
Date/Publication: 2024-11-13 14:00:13 UTC

More information about PepMapViz at CRAN
Permanent link

New package COveR with initial version 1.1.0
Package: COveR
Title: Clustering with Overlaps
Version: 1.1.0
Description: Provide functions for overlaps clustering, fuzzy clustering and interval-valued data manipulation. The package implement the following algorithms: OKM (Overlapping Kmeans) from Cleuziou, G. (2007) <doi:10.1109/icpr.2008.4761079> ; NEOKM (Non-exhaustive overlapping Kmeans) from Whang, J. J., Dhillon, I. S., and Gleich, D. F. (2015) <doi:10.1137/1.9781611974010.105> ; Fuzzy Cmeans from Bezdek, J. C. (1981) <doi:10.1007/978-1-4757-0450-1> ; Fuzzy I-Cmeans from de A.T. De Carvalho, F. (2005) <doi:10.1016/j.patrec.2006.08.014>.
Depends: R (>= 3.2.3)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: testthat
SystemRequirements: Gnu Scientific Library version >= 1.12
NeedsCompilation: yes
Packaged: 2024-11-13 11:02:19 UTC; hiot
Author: Guillaume Cleuziou [aut], Nicolas Hiot [cre]
Maintainer: Nicolas Hiot <nicolas.hiot@univ-orleans.fr>
Repository: CRAN
Date/Publication: 2024-11-13 13:00:22 UTC

More information about COveR at CRAN
Permanent link

New package cia with initial version 1.0.0
Package: cia
Title: Learn and Apply Directed Acyclic Graphs for Causal Inference
Version: 1.0.0
Description: Causal Inference Assistance (CIA) for performing causal inference within the structural causal modelling framework. Structure learning is performed using partition Markov chain Monte Carlo (Kuipers & Moffa, 2017) and several additional functions have been added to help with causal inference. Kuipers and Moffa (2017) <doi:10.1080/01621459.2015.1133426>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: bnlearn (>= 4.9), igraph, doParallel, parallel, foreach, arrangements, graphics, dplyr, rlang, fastmatch, methods, gRain, patchwork, tidyr
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), gtools, gRbase, ggplot2, qgraph, dagitty
URL: https://spaceodyssey.github.io/cia/
BugReports: https://github.com/SpaceOdyssey/cia/issues
NeedsCompilation: no
Packaged: 2024-11-11 21:41:08 UTC; mvar0005
Author: Mathew Varidel [aut, cre, cph] , Victor An [ctb]
Maintainer: Mathew Varidel <mathew.varidel@sydney.edu.au>
Repository: CRAN
Date/Publication: 2024-11-13 14:00:07 UTC

More information about cia at CRAN
Permanent link

Tue, 12 Nov 2024

New package Virusparies with initial version 1.0.0
Package: Virusparies
Title: Visualize and Process Output from 'VirusHunterGatherer'
Version: 1.0.0
Maintainer: Ruff Sergej <serijnh@gmail.com>
Description: A collection of tools for downstream analysis of 'VirusHunterGatherer' output. Processing of hittables and plotting of results, enabling better interpretation, is made easier with the provided functions.
License: GPL (>= 3)
URL: https://github.com/SergejRuff/Virusparies, https://github.com/lauberlab/VirusHunterGatherer
BugReports: https://github.com/SergejRuff/Virusparies/issues
Encoding: UTF-8
Imports: chromote, cowplot, dplyr, ggplot2, gt, parallel, readr, rlang, scales, stats, stringr, tidyr, tools, utils
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-10 16:37:26 UTC; sergej
Author: Ruff Sergej [aut, cre] , Lauber Chris [ctb] , Chong Li Chuin [ctb]
Repository: CRAN
Date/Publication: 2024-11-12 14:10:06 UTC

More information about Virusparies at CRAN
Permanent link

New package textAnnotatoR with initial version 0.1.4
Package: textAnnotatoR
Title: Interactive Text Annotation Tool with 'shiny' GUI
Version: 0.1.4
Date: 2024-10-25
Description: A comprehensive text annotation tool built with 'shiny'. Provides an interactive graphical user interface for coding text documents, managing code hierarchies, creating memos, and analyzing coding patterns. Features include code co-occurrence analysis, visualization of coding patterns, comparison of multiple coding sets, and export capabilities. Supports collaborative qualitative research through standardized annotation formats and analysis tools.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: shiny (>= 1.7.0), shinydashboard, shinyjs, shinyFiles, data.tree, jsonlite, DT, readtext, magrittr, tools, utils, stats, grDevices, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, mockery
URL: https://github.com/chaoliu-cl/textAnnotatoR, http://liu-chao.site/textAnnotatoR/
BugReports: https://github.com/chaoliu-cl/textAnnotatoR/issues
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-11 19:23:25 UTC; chaoliu
Author: Chao Liu [aut, cre, cph]
Maintainer: Chao Liu <chaoliu@cedarville.edu>
Repository: CRAN
Date/Publication: 2024-11-12 14:40:01 UTC

More information about textAnnotatoR at CRAN
Permanent link

New package rOCEAN with initial version 1.0
Package: rOCEAN
Title: Two-Way Feature Set Testing for Multi-Omics
Version: 1.0
Maintainer: Mitra Ebrahimpoor <mitra.ebrahimpoor@gmail.com>
Description: For any two way feature-set from a pair of pre-processed omics data, 3 different true discovery proportions (TDP), namely pairwise-TDP, column-TDP and row-TDP are calculated. Due to embedded closed testing procedure, the choice of feature-sets can be changed infinite times and even after seeing the data without any change in type I error rate. For more details refer to Ebrahimpoor et al., (2024) <doi:10.48550/arXiv.2410.19523>.
License: GPL (>= 2)
Date: 2024-10-31
Encoding: UTF-8
Imports: ff
NeedsCompilation: no
Packaged: 2024-11-10 22:01:22 UTC; mitra
Author: Mitra Ebrahimpoor [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-12 14:10:02 UTC

More information about rOCEAN at CRAN
Permanent link

New package fastml with initial version 0.1.0
Package: fastml
Title: Fast Machine Learning Model Training and Evaluation
Version: 0.1.0
Description: Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
License: GPL (>= 2)
Encoding: UTF-8
Imports: caret, pROC, reshape2, ggplot2, foreach, doParallel
Suggests: knitr, rmarkdown, randomForest, kernlab, gbm, nnet, rpart, glmnet, xgboost, pls, C50, mboost, arm, ipred, caTools, e1071, MASS
NeedsCompilation: no
Packaged: 2024-11-11 13:28:27 UTC; selcukkorkmaz
Author: Selcuk Korkmaz [aut, cre] , Dincer Goksuluk [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-12 14:30:02 UTC

More information about fastml at CRAN
Permanent link

New package bplsr with initial version 1.0.0
Package: bplsr
Title: Bayesian partial least squares regression
Version: 1.0.0
Maintainer: Szymon Urbas <szymon.urbas@mu.ie>
Description: Fits the Bayesian partial least squares regression model introduced in Urbas et al. (2024) <doi:10.1214/24-AOAS1947>. Suitable for univariate and multivariate regression with high-dimensional data.
License: GPL (>= 3)
Encoding: UTF-8
Language: eng
Depends: R (>= 2.10)
LazyData: true
Imports: coda, progress, statmod, stats, utils
NeedsCompilation: no
Packaged: 2024-11-11 20:55:25 UTC; surbas
Author: Szymon Urbas [aut, cre], Pierre Lovera [ctb], Robert Daly [ctb], Alan O'Riordan [ctb], Donagh Berry [ctb], Isobel Claire Gormley [ctb]
Repository: CRAN
Date/Publication: 2024-11-12 14:50:02 UTC

More information about bplsr at CRAN
Permanent link

New package BayesGP with initial version 0.1.3
Package: BayesGP
Title: Efficient Implementation of Gaussian Process in Bayesian Hierarchical Models
Version: 0.1.3
Description: Implements Bayesian hierarchical models with flexible Gaussian process priors, focusing on Extended Latent Gaussian Models and incorporating various Gaussian process priors for Bayesian smoothing. Computations leverage finite element approximations and adaptive quadrature for efficient inference. Methods are detailed in Zhang, Stringer, Brown, and Stafford (2023) <doi:10.1177/09622802221134172>; Zhang, Stringer, Brown, and Stafford (2024) <doi:10.1080/10618600.2023.2289532>; Zhang, Brown, and Stafford (2023) <doi:10.48550/arXiv.2305.09914>; and Stringer, Brown, and Stafford (2021) <doi:10.1111/biom.13329>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: TMB (>= 1.9.7), RcppEigen
Imports: TMB (>= 1.9.7), numDeriv, rstan, sfsmisc, Matrix (>= 1.6.3), aghq (>= 0.4.1), fda, tmbstan, LaplacesDemon, methods
Depends: R (>= 3.6.0)
Suggests: rmarkdown, knitr, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-11-10 22:31:24 UTC; ziangzhang
Author: Ziang Zhang [aut, cre], Yongwei Lin [aut], Alex Stringer [aut], Patrick Brown [aut]
Maintainer: Ziang Zhang <ziangzhang@uchicago.edu>
Repository: CRAN
Date/Publication: 2024-11-12 14:20:03 UTC

More information about BayesGP at CRAN
Permanent link

New package SFM with initial version 0.1.0
Package: SFM
Title: A Package for Analyzing Skew Factor Models
Version: 0.1.0
Description: Generates Skew Factor Models data and applies Sparse Online Principal Component (SOPC) method to estimate model parameters. It includes capabilities for calculating mean squared error, relative error, and sparsity of the loading matrix. Additionally, it includes robust regression methods such as adaptive Huber regression.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MASS, SOPC, matrixcalc, sn, stats
NeedsCompilation: no
Language: en-US
Author: Guangbao Guo [aut, cre], Yu Jin [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Suggests: testthat (>= 3.0.0), ggplot2, reshape2
Packaged: 2024-11-08 06:55:06 UTC; AIERXUAN
Repository: CRAN
Date/Publication: 2024-11-12 13:10:02 UTC

More information about SFM at CRAN
Permanent link

New package CIMPLE with initial version 0.1.0
Package: CIMPLE
Title: Analysis of Longitudinal Electronic Health Record (EHR) Data with Possibly Informative Observational Time
Version: 0.1.0
Description: Analyzes longitudinal Electronic Health Record (EHR) data with possibly informative observational time. These methods are grouped into two classes depending on the inferential task. One group focuses on estimating the effect of an exposure on a longitudinal biomarker while the other group assesses the impact of a longitudinal biomarker on time-to-diagnosis outcomes. The accompanying paper is Du et al (2024) <doi:10.48550/arXiv.2410.13113>.
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: dplyr, JMbayes2, lme4, mice, nleqslv, nlme, statmod, stats, survival, utils
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-09 05:45:29 UTC; hb636
Author: Jiacong Du [aut] , Howard Baik [cre]
Maintainer: Howard Baik <howard.baik@yale.edu>
Repository: CRAN
Date/Publication: 2024-11-12 13:20:10 UTC

More information about CIMPLE at CRAN
Permanent link

New package forestGYM with initial version 1.0.0
Package: forestGYM
Title: Forest Growth and Yield Model Based on Clutter Model
Version: 1.0.0
Depends: R (>= 3.5.0)
Imports: gtools(>= 3.8.5),stats(>= 4.3.1)
Description: The Clutter model is a significant forest growth simulation tool. Grounded on individual trees and comprehensively considering factors such as competition among trees and the impact of environmental elements on growth, it can accurately reflect the growth process of forest stands. It can be applied in areas like forest resource management, harvesting planning, and ecological research. With the help of the Clutter model, people can better understand the dynamic changes of forests and provide a scientific basis for rational forest management and protecting the ecological environment. This R package can effectively realize the construction of forest growth and harvest models based on the Clutter model and achieve optimized forest management.References: Farias A, Soares C, Leite H et al(2021)<doi:10.1007/s10342-021-01380-1>. Guera O, Silva J, Ferreira R, et al(2019)<doi:10.1590/2179-8087.038117>.
License: GPL-2
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-12 01:39:36 UTC; 78438
Author: Zongzheng Chai [aut, cre]
Maintainer: Zongzheng Chai <chaizz@126.com>
Repository: CRAN
Date/Publication: 2024-11-12 10:20:05 UTC

More information about forestGYM at CRAN
Permanent link

Mon, 11 Nov 2024

New package semaphore with initial version 1.0.1
Package: semaphore
Title: Shared Memory Atomic Operations
Version: 1.0.1
Date: 2024-11-08
Description: Implements named semaphores from the 'boost' 'C++' library <https://www.boost.org/>. A semaphore object is shared amongst several processes. This integer value can be safely incremented or decremented by each processes. Processes can also wait (blocking) for the value to become non-zero.
URL: https://cmmr.github.io/semaphore/, https://github.com/cmmr/semaphore
BugReports: https://github.com/cmmr/semaphore/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
LinkingTo: Rcpp, BH
Imports: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-11-08 17:49:24 UTC; Daniel
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-11 20:40:02 UTC

More information about semaphore at CRAN
Permanent link

New package rjaf with initial version 0.1.0
Package: rjaf
Title: Regularized Joint Assignment Forest with Treatment Arm Clustering
Version: 0.1.0
URL: https://github.com/wustat/rjaf
BugReports: https://github.com/wustat/rjaf/issues
Description: Personalized assignment to one of many treatment arms via regularized and clustered joint assignment forests as described in Ladhania, Spiess, Ungar, and Wu (2023) <doi:10.48550/arXiv.2311.00577>. The algorithm pools information across treatment arms: it considers a regularized forest-based assignment algorithm based on greedy recursive partitioning that shrinks effect estimates across arms; and it incorporates a clustering scheme that combines treatment arms with consistently similar outcomes.
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp, dplyr, tibble, magrittr, readr, randomForest, ranger, forcats, rlang (>= 1.1.0), tidyr, stringr, MASS
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-11-08 00:31:37 UTC; xinyizhang
Author: Wenbo Wu [aut, cph] , Xinyi Zhang [aut, cre, cph] , Jann Spiess [aut, cph] , Rahul Ladhania [aut, cph]
Maintainer: Xinyi Zhang <zhang.xinyi@nyu.edu>
Repository: CRAN
Date/Publication: 2024-11-11 20:10:02 UTC

More information about rjaf at CRAN
Permanent link

New package RadEro with initial version 1.0.4
Package: RadEro
Title: Cs-137 Conversion Model
Version: 1.0.4
Date: 2024-10-30
Description: A straightforward model to estimate soil migration rates across various soil contexts. Based on the compartmental, vertically-resolved, physically-based mass balance model of Soto and Navas (2004) <doi:10.1016/j.jaridenv.2004.02.003> and Soto and Navas (2008) <doi:10.1016/j.radmeas.2008.02.024>. 'RadEro' provides a user-friendly interface in R, utilizing input data such as 137Cs inventories and parameters directly derived from soil samples (e.g., fine fraction density, effective volume) to accurately capture the 137Cs distribution within the soil profile. The model simulates annual 137Cs fallout, radioactive decay, and vertical diffusion, with the diffusion coefficient calculated from 137Cs reference inventory profiles. Additionally, it allows users to input custom parameters as calibration coefficients. This tool and its code are openly accessible, facilitating usage in soil erosion studies.
License: GPL (>= 2)
Depends: R (>= 4.3.0)
Imports: Rcpp (>= 1.0.11), dplyr (>= 1.1.4), roxygen2 (>= 7.2.3), usethis (>= 2.2.2), jsonlite (>= 1.8.7), data.table (>= 1.14.8), devtools (>= 2.4.5), ggplot2 (>= 3.4.4), patchwork (>= 1.1.3), utils (>= 4.3.1), stats (>= 4.3.1)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-11-08 09:55:28 UTC; artur
Author: Arturo Catala [aut, cre], Borja Latorre [aut, ctb, cph], Leticia Gaspar [aut], Ana Navas [aut], Dave Gamble [ctb]
Maintainer: Arturo Catala <acatalae@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-11 20:20:01 UTC

More information about RadEro at CRAN
Permanent link

New package pannotator with initial version 1.0.0.4
Package: pannotator
Title: Visualisation and Annotation of 360 Degree Imagery
Version: 1.0.0.4
Description: Provides a customisable R 'shiny' app for immersively visualising, mapping and annotating panospheric (360 degree) imagery. The flexible interface allows annotation of any geocoded images using up to 4 user specified dropdown menus. The app uses 'leaflet' to render maps that display the geo-locations of images and panellum <https://pannellum.org/>, a lightweight panorama viewer for the web, to render images in virtual 360 degree viewing mode. Key functions include the ability to draw on & export parts of 360 images for downstream applications. Users can also draw polygons and points on map imagery related to the panoramic images and export them for further analysis. Downstream applications include using annotations to train Artificial Intelligence/Machine Learning (AI/ML) models and geospatial modelling and analysis of camera based survey data.
License: GPL (>= 3)
URL: https://github.com/NunzioKnerr/pannotator_package_source
BugReports: https://github.com/NunzioKnerr/pannotator_package_source/issues
Imports: bslib, colourpicker, config, configr, dplyr, exiftoolr, geojsonsf, ggplot2, golem, graphics, grDevices, htmlwidgets, jpeg, jsonify, jsonlite, leaflet, leaflet.extras, leafpm, magrittr, readr, scales, sf, shiny, shinyFiles, shinyhelper, shinyjs, shinythemes, shinyWidgets, stringr, tools, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-08 11:56:18 UTC; kne01b
Author: Nunzio Knerr [aut, cre] , Robert Godfree [aut] , Matthew Petroff [ctb], CSIRO [cph]
Maintainer: Nunzio Knerr <Nunzio.Knerr@csiro.au>
Repository: CRAN
Date/Publication: 2024-11-11 20:30:02 UTC

More information about pannotator at CRAN
Permanent link

New package GTFSwizard with initial version 1.0.0
Package: GTFSwizard
Title: Exploring and Manipulating 'GTFS' Files
Version: 1.0.0
Date/Publication: 2024-11-11 20:40:05 UTC
URL: https://github.com/nelsonquesado/GTFSwizard
BugReports: https://github.com/nelsonquesado/GTFSwizard/issues
Description: Exploring, analyzing, and manipulating General Transit Feed Specification (GTFS) files, which represent public transportation schedules and geographic data. The package allows users to filter data by routes, trips, stops, and time, generate spatial visualizations, and perform detailed analyses of transit networks, including headway, dwell times, and route frequencies. Designed for transit planners, researchers, and data analysts, 'GTFSwizard' integrates functionalities from popular packages to enable efficient GTFS data manipulation and visualization.
Imports: gtfstools, tidytransit, lubridate, sf, tidyr, data.table, shiny, leaflet, checkmate, dplyr, ggplot2, gtfsio, purrr, rlang, crayon, forcats, hrbrthemes, stringr, tibble, plotly, leaflet.extras, geosphere, stplanr, glue, hms, sfnetworks
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-11-08 16:54:42 UTC; nelsonquesado
Author: Nelson de O. Quesado Filho [aut, cre], Caio G. C. Guimaraes [aut]
Maintainer: Nelson de O. Quesado Filho <nquesado@gmail.com>
Repository: CRAN

More information about GTFSwizard at CRAN
Permanent link

New package FedData with initial version 4.1.0
Package: FedData
Title: Download Geospatial Data Available from Several Federated Data Sources
Version: 4.1.0
Date: 2024-11-06
Description: Download geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from nine datasets: The National Elevation Dataset digital elevation models (<https://www.usgs.gov/3d-elevation-program> 1 and 1/3 arc-second; USGS); The National Hydrography Dataset (<https://www.usgs.gov/national-hydrography/national-hydrography-dataset>; USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (<https://websoilsurvey.sc.egov.usda.gov/>; NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>; GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 4, available from the Oak Ridge [...truncated...]
License: MIT + file LICENSE
URL: https://docs.ropensci.org/FedData/, https://github.com/ropensci/FedData
BugReports: https://github.com/ropensci/FedData/issues
SystemRequirements: GDAL (>= 3.1.0)
Depends: R (>= 3.2.0)
Imports: curl, httr, dplyr, tibble, tidyr, stringr, igraph, xml2, lifecycle, lubridate, progress, purrr, readr, terra (>= 1.0), sf (>= 1.0), arcgislayers (>= 0.2.0), ggplot2, glue, magrittr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Repository: CRAN
Suggests: knitr, leaflet, mapview, ncdf4, rmapshaper, testthat, usethis
Packaged: 2024-11-07 23:20:08 UTC; kyle.bocinsky
Author: R. Kyle Bocinsky [aut, cre, cph] , Dylan Beaudette [ctb], Scott Chamberlain [ctb, rev], Jeffrey Hollister [ctb], Julia Gustavsen [rev]
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>
Date/Publication: 2024-11-11 20:10:05 UTC

More information about FedData at CRAN
Permanent link

New package betaselectr with initial version 0.1.0
Package: betaselectr
Title: Betas-Select in Structural Equation Models and Linear Models
Version: 0.1.0
Description: It computes betas-select, coefficients after standardization in structural equation models and regression models, standardizing only selected variables. Supports models with moderation, with product terms formed after standardization. It also offers confidence intervals that account for standardization, including bootstrap confidence intervals as proposed by Cheung et al. (2022) <doi:10.1037/hea0001188>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Imports: boot, stats, lavaan, methods, numDeriv, manymome, pbapply, lavaan.printer
VignetteBuilder: knitr
URL: https://sfcheung.github.io/betaselectr/
BugReports: https://github.com/sfcheung/betaselectr/issues
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-08 11:26:51 UTC; shufa
Author: Shu Fai Cheung [aut, cre] , Rong Wei Sun [aut] , Florbela Chang [aut] , Wendie Yang [aut] , Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-11 20:30:06 UTC

More information about betaselectr at CRAN
Permanent link

New package forestSAS with initial version 2.0.4
Package: forestSAS
Title: Forest Spatial Structure Analysis Systems
Version: 2.0.4
Depends: R (>= 3.5.0)
Imports: spatstat, spatstat.data, spatstat.geom, spatstat.random
Description: Recent years have seen significant interest in neighborhood-based structural parameters that effectively represent the spatial characteristics of tree populations and forest communities, and possess strong applicability for guiding forestry practices. This package provides valuable information that enhances our understanding and analysis of the fine-scale spatial structure of tree populations and forest stands. Reference: Yan L, Tan W, Chai Z, et al (2019) <doi:10.13323/j.cnki.j.fafu(nat.sci.).2019.03.007>.
License: GPL-2
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-06 14:06:51 UTC; 78438
Author: Zongzheng Chai [aut, cre]
Maintainer: Zongzheng Chai <chaizz@126.com>
Repository: CRAN
Date/Publication: 2024-11-11 16:50:02 UTC

More information about forestSAS at CRAN
Permanent link

New package forestPSD with initial version 1.0.0
Package: forestPSD
Title: Forest Population Structure and Numeric Dynamics
Version: 1.0.0
Depends: R (>= 3.5.0)
Imports: ggplot2,reshape2,TTR,modelr,minpack.lm,stats,utils
Description: Analysis of forest population structure and quantitative dynamics is the research and evaluation of the composition, distribution, age structure and changes in quantity over time of various populations in the forest. By deeply understanding these characteristics of forest populations, scientific basis can be provided for the management, protection and sustainable utilization of forest resources. This R package conducts a systematic analysis of forest population structure and quantitative dynamics through analyzing age structure, compiling life tables, population quantitative dynamic change indices and time series models, in order to provide support for forest population protection and sustainable management. References: Zhang Y, Wang J, Wang X, et al(2024)<doi:10.3390/plants13070946>. Yuan G, Guo Q, Xie N, et al(2023)<doi:10.1007/s11629-022-7429-z>.
License: GPL-2
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-06 12:21:43 UTC; 78438
Author: Zongzheng Chai [aut, cre]
Maintainer: Zongzheng Chai <chaizz@126.com>
Repository: CRAN
Date/Publication: 2024-11-11 16:50:05 UTC

More information about forestPSD at CRAN
Permanent link

New package seAMLess with initial version 0.1.1
Package: seAMLess
Title: A Single Cell Transcriptomics Based Deconvolution Pipeline for Leukemia
Description: Given a bulk transcriptomic (RNA-seq) sample of an Myeloid Leukemia patient calculates immune composition and drug resistance for different small-molecule inhibitors. Published in <https://www.nature.com/articles/s41698-024-00596-9>.
Version: 0.1.1
Depends: R (>= 3.5.0)
Imports: Biobase, ggplot2, optparse, data.table,
Suggests: MuSiC, ggtern, seAMLessData, randomForest
Additional_repositories: https://eonurk.github.io/drat/
URL: https://github.com/eonurk/seAMLess
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-11 10:18:00 UTC; onur-lumc
Author: E Onur Karakaslar [aut, cre], Redmar van den Berg [ctb]
Maintainer: E Onur Karakaslar <eonurkara@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-11 12:50:02 UTC

More information about seAMLess at CRAN
Permanent link

New package photon with initial version 0.3.1
Package: photon
Title: High-Performance Geocoding using 'photon'
Version: 0.3.1
Description: Features unstructured, structured and reverse geocoding using the 'photon' geocoding API <https://photon.komoot.io/>. Facilitates the setup of local 'photon' instances to enable offline geocoding.
License: Apache License (>= 2)
URL: https://github.com/jslth/photon/, https://jslth.github.io/photon/
BugReports: https://github.com/jslth/photon/issues
Encoding: UTF-8
Imports: utils, cli, countrycode, httr2, R6, sf, processx
Suggests: testthat (>= 3.0.0), tibble, knitr, rmarkdown, webfakes, ps
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-07 21:41:38 UTC; PC
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jonas.lieth@gesis.org>
Repository: CRAN
Date/Publication: 2024-11-11 12:20:02 UTC

More information about photon at CRAN
Permanent link

New package PakPC with initial version 0.2.0
Package: PakPC
Title: 'shiny' App to Analyze Pakistan's Population Census Data
Version: 0.2.0
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Provides tools for analyzing Pakistan's Population Censuses data via the 'PakPC2023' and 'PakPC2017' R packages. Designed for researchers, policymakers, and professionals, the app enables in-depth numerical and graphical analysis, including detailed cross-tabulations and insights. With diverse statistical models and visualization options, it supports informed decision-making in social and economic policy. This tool enhances users' ability to explore and interpret census data, providing valuable insights for effective planning and analysis across various fields.
URL: https://myaseen208.com/PakPC/ https://myaseen208.shinyapps.io/PakPC/ https://CRAN.R-project.org/package=PakPC
BugReports: https://github.com/myaseen208/PakPC/issues
Depends: R (>= 4.1)
Imports: DT, htmltools, magrittr, PakPC2017, PakPC2023, rpivotTable, shiny, shinydashboard, shinydashboardPlus
Suggests: shinytest2, testthat (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
Note: 1. School of Mathematical & Statistical Sciences, Clemson University, Clemson, South Carolina, USA 2. Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan
NeedsCompilation: no
Packaged: 2024-11-07 18:52:34 UTC; myaseen208
Author: Muhammad Yaseen [aut, cre, cph] , Muhammad Arfan Dilber [ctb], Zahid Asghar [ctb]
Repository: CRAN
Date/Publication: 2024-11-11 11:50:07 UTC

More information about PakPC at CRAN
Permanent link

New package PakNAcc with initial version 0.1.0
Package: PakNAcc
Title: 'shiny' App for National Accounts
Version: 0.1.0
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Provides a comprehensive suite of tools for analyzing Pakistan's Quarterly National Accounts data. Users can gain detailed insights into Pakistan's economic performance, visualize quarterly trends, and detect patterns and anomalies in key economic indicators. Compare sector contributions—including agriculture, industry, and services—to understand their influence on economic growth or decline. Customize analyses by filtering and manipulating data to focus on specific areas of interest. Ideal for policymakers, researchers, and analysts aiming to make informed, data-driven decisions based on timely and detailed economic insights.
URL: https://myaseen208.com/PakNAcc/ https://myaseen208.shinyapps.io/PakNAcc/ https://CRAN.R-project.org/package=PakNAcc
BugReports: https://github.com/myaseen208/PakNAcc/issues
Depends: R (>= 4.1)
Imports: collapse, DT, htmltools, magrittr, rpivotTable, shiny, shinydashboard, shinydashboardPlus
Suggests: shinytest2, testthat (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
Note: School of Mathematical & Statistical Sciences, Clemson University, Clemson, South Carolina, USA
NeedsCompilation: no
Packaged: 2024-11-07 18:34:28 UTC; myaseen208
Author: Muhammad Yaseen [aut, cre, cph] , Zahid Asghar [ctb]
Repository: CRAN
Date/Publication: 2024-11-11 11:50:11 UTC

More information about PakNAcc at CRAN
Permanent link

New package JAGStree with initial version 1.0.1
Package: JAGStree
Title: Automatically Write 'JAGS' Code for Hierarchical Bayesian Models on Trees
Version: 1.0.1
Maintainer: Mallory J Flynn <mallory.flynn@stat.ubc.ca>
Description: When relationships between sources of data can be represented by a tree, the generation of appropriate Markov Chain Monte Carlo modeling code to be used with 'JAGS' to run a Bayesian hierarchical model can be automatically generated by this package. Any admissible tree-structured data can be used, under the assumption that node counts are multinomial and branching probabilities are Dirichlet among sibling groups. The methodological basis used to create this package can be found in Flynn (2023) <http://hdl.handle.net/2429/86174>.
License: GPL (>= 2)
URL: https://github.com/malfly/JAGStree
Depends: R (>= 4.3.0)
Imports: data.tree, gtools, mcmcplots, stats, R2jags, tidyverse, DiagrammeR, AutoWMM
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-07 18:58:12 UTC; mallory
Author: Mallory J Flynn [cre, aut]
Repository: CRAN
Date/Publication: 2024-11-11 12:00:13 UTC

More information about JAGStree at CRAN
Permanent link

New package ig.degree.betweenness with initial version 0.1.0
Package: ig.degree.betweenness
Title: "Smith-Pittman Community Detection Algorithm for 'igraph' Objects (2024)"
Version: 0.1.0
Description: Implements the "Smith-Pittman" community detection algorithm for network analysis using 'igraph' objects. This algorithm combines node degree and betweenness centrality measures to identify communities within networks, with a gradient evident in social partitioning. The package provides functions for community detection, visualization, and analysis of the resulting community structure. Methods are based on results from Smith, Pittman and Xu (2024) <doi:10.48550/arXiv.2411.01394>.
License: MIT + file LICENSE
URL: https://github.com/benyamindsmith/ig.degree.betweenness
BugReports: https://github.com/benyamindsmith/ig.degree.betweenness/issues
Encoding: UTF-8
Imports: igraph, igraphdata, rlist, BBmisc, qgraph
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-11-07 19:17:21 UTC; ben29
Author: Benjamin Smith [aut, cre] , Tyler Pittman [aut] , Wei Xu [aut]
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-11-11 12:00:01 UTC

More information about ig.degree.betweenness at CRAN
Permanent link

New package distfreereg with initial version 1.0
Package: distfreereg
Title: Distribution-Free Goodness-of-Fit Testing for Regression
Version: 1.0
Depends: R (>= 4.4)
Imports: clue, methods, numDeriv
Suggests: knitr, Matrix, mvtnorm, rmarkdown
VignetteBuilder: knitr
Date: 2024-11-04
Maintainer: Jesse Miller <mill9116@umn.edu>
Description: Implements distribution-free goodness-of-fit regression testing for the mean structure of parametric models introduced in Khmaladze (2021) <doi:10.1007/s10463-021-00786-3>.
License: GPL-3
NeedsCompilation: no
Packaged: 2024-11-07 18:52:22 UTC; Jesse
Author: Jesse Miller [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-11 12:00:04 UTC

More information about distfreereg at CRAN
Permanent link

Sun, 10 Nov 2024

New package SegEnvIneq with initial version 1.2
Package: SegEnvIneq
Title: Environmental Inequality Indices Based on Segregation Measures
Version: 1.2
Date: 2024-11-07
Description: A set of segregation-based indices and randomization methods to make robust environmental inequality assessments, as described in Schaeffer and Tivadar (2019) "Measuring Environmental Inequalities: Insights from the Residential Segregation Literature" <doi:10.1016/j.ecolecon.2019.05.009>.
Depends: R (>= 4.4.0)
Imports: sf (>= 1.0-16), spdep (>= 1.3-6), OasisR (>= 3.1.1), outliers (>= 0.15)
License: GPL-2 | GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-07 11:05:44 UTC; mtivadar
Author: Mihai Tivadar [aut, cre], Yves Schaeffer [aut]
Maintainer: Mihai Tivadar <mihai.tivadar@inrae.fr>
Repository: CRAN
Date/Publication: 2024-11-10 15:50:06 UTC

More information about SegEnvIneq at CRAN
Permanent link

New package maicplus with initial version 0.1.0
Title: Matching Adjusted Indirect Comparison
Package: maicplus
Version: 0.1.0
Date: 2024-10-29
Description: Facilitates performing matching adjusted indirect comparison (MAIC) analysis where the endpoint of interest is either time-to-event (e.g. overall survival) or binary (e.g. objective tumor response). The method is described by Signorovitch et al (2012) <doi:10.1016/j.jval.2012.05.004>.
License: Apache License 2.0
URL: https://github.com/hta-pharma/maicplus/, https://hta-pharma.github.io/maicplus/
BugReports: https://github.com/hta-pharma/maicplus/issues
Depends: R (>= 3.6)
Imports: graphics, grDevices, stats, survival, lubridate, DescTools, MASS, boot, stringr, lmtest, sandwich
Suggests: knitr, testthat (>= 2.0), ggplot2, rmarkdown, dplyr, survminer, flexsurv, tibble, vdiffr, checkmate
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-07 11:31:16 UTC; gravesti
Author: Gregory Chen [aut], Michael Seo [aut], Isaac Gravestock [aut, cre], Miranta Antoniou [ctb], Chrysostomos Kalyvas [ctb], MSD, Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>
Repository: CRAN
Date/Publication: 2024-11-10 15:50:02 UTC

More information about maicplus at CRAN
Permanent link

New package laminr with initial version 0.1.0
Package: laminr
Title: Interface for 'LaminDB'
Version: 0.1.0
Description: Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for biology. This package allows you to query and download data from 'LaminDB' instances.
License: Apache License (>= 2)
URL: https://laminr.lamin.ai, https://github.com/laminlabs/laminr
BugReports: https://github.com/laminlabs/laminr/issues
Depends: R (>= 4.0.0)
Imports: cli, httr, jsonlite, purrr, R6, rlang
Suggests: anndata, quarto, s3 (>= 1.1.0), testthat (>= 3.0.0), withr
VignetteBuilder: quarto
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-07 14:07:57 UTC; root
Author: Robrecht Cannoodt [aut, cre], Luke Zappia [aut], Data Intuitive [aut], Lamin Labs [aut, cph]
Maintainer: Robrecht Cannoodt <robrecht@data-intuitive.com>
Repository: CRAN
Date/Publication: 2024-11-10 16:00:02 UTC

More information about laminr at CRAN
Permanent link

Fri, 08 Nov 2024

New package SimRDS with initial version 2.0.0
Package: SimRDS
Title: Simulation of Respondent Driven Samples
Version: 2.0.0
Maintainer: Ayesha Perera <gaayesha93@gmail.com>
Description: Simulate populations with desired properties and extract respondent driven samples. To better understand the usage of the package and the algorithm used, please refer to Perera, A., and Ramanayake, A. (2019) <https://www.aimr.tirdiconference.com/assets/images/portfolio/Conference-Proceeding-AIMR-19.pdf>.
License: GPL-2
Imports: RDS, e1071, stats
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-07 01:59:49 UTC; GPERERA
Author: Ayesha Perera [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-08 15:10:09 UTC

More information about SimRDS at CRAN
Permanent link

New package lofifonts with initial version 0.1.3
Package: lofifonts
Title: Text Rendering with Bitmap and Vector Fonts
Version: 0.1.3
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Alternate font rendering is useful when rendering text to novel graphics outputs where modern font rendering is not available or where bespoke text positioning is required. Bitmap and vector fonts allow for custom layout and rendering using pixel coordinates and line drawing. Formatted text is created as a data.frame of pixel coordinates (for bitmap fonts) or stroke coordinates (for vector fonts). All text can be easily previewed as a matrix or raster image. A selection of fonts is included with this package.
License: MIT + file LICENSE
Encoding: UTF-8
Copyright: The included 'spleen' font is BSD licensed and Copyright (c) 2018-2024, Frederic Cambus. The included 'Tamzen' font is free to distribute and Copyright 2011 Suraj N. Kurapati (it is based upon the 'Tamsyn' font which is also free to distribute Copyright 2010 Scott Fial) The included 'unifont' font is SIL Open Font Licensed, and is Copyright the GNU unifont authors. The included 'gridfont' is MIT licensed is Copyright (c) 2019 Anders Hoff. See 'COPYRIGHTS' file for more details.
URL: https://github.com/coolbutuseless/lofifonts
BugReports: https://github.com/coolbutuseless/lofifonts/issues
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, bittermelon, ggplot2, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-07 09:48:56 UTC; mike
Author: Mike Cheng [aut, cre, cph], June Choe [ctb] , Frederic Cambus [cph, tyd] , GNU Unifont authors [cph, tyd] , Suraj Kurapati [cph, tyd] , Scott Fial [cph, tyd] , Anders Hoff [cph, tyd]
Repository: CRAN
Date/Publication: 2024-11-08 15:20:02 UTC

More information about lofifonts at CRAN
Permanent link

New package FGRepo with initial version 1.3.2.0
Package: FGRepo
Title: Functional Genomics Repository for POST-GWAS Analysis
Version: 1.3.2.0
Date: 2024-11-07
Author: Alireza Ani [aut, cre], Ahmad Vaez [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>
Depends: R (>= 3.5)
Description: A collection of datasets essential for functional genomic analysis. Gene names, gene positions, cytoband information, sourced from Ensembl and phenotypes association graph prepared from GWAScatalog are included. Data is available in both GRCh37 and 38 builds. These datasets facilitate a wide range of genomic studies, including the identification of genetic variants, exploration of genomic features, and post-GWAS functional analysis.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-11-07 06:27:56 UTC; Alireza
Repository: CRAN
Date/Publication: 2024-11-08 15:10:12 UTC

More information about FGRepo at CRAN
Permanent link

New package AIscreenR with initial version 0.1.0
Package: AIscreenR
Title: AI Screening Tools in R for Systematic Reviewing
Version: 0.1.0
Description: Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://platform.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2024) <DOI:10.31219/osf.io/yrhzm>.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, tibble, httr2, stringr, furrr, tidyr, tictoc, askpass, curl, purrr, lifecycle, jsonlite
Suggests: future, knitr, rmarkdown, usethis, testthat (>= 3.0.0)
URL: https://mikkelvembye.github.io/AIscreenR/, https://github.com/MikkelVembye/AIscreenR
BugReports: https://github.com/MikkelVembye/AIscreenR/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-07 09:01:08 UTC; B199526
Author: Mikkel H. Vembye [aut, cre, cph]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-08 15:10:15 UTC

More information about AIscreenR at CRAN
Permanent link

New package tidyplots with initial version 0.1.2
Package: tidyplots
Title: Tidy Plots for Scientific Papers
Version: 0.1.2
Description: The goal of 'tidyplots' is to streamline the creation of publication-ready plots for scientific papers. It allows to gradually add, remove and adjust plot components using a consistent and intuitive syntax.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, forcats, ggbeeswarm, ggplot2, ggpubr, ggrastr, ggrepel, glue, Hmisc, htmltools, lifecycle, patchwork, purrr, rlang, scales, stringr, tidyr, tidyselect
Depends: R (>= 2.10)
LazyData: true
URL: https://github.com/jbengler/tidyplots, https://jbengler.github.io/tidyplots/
BugReports: https://github.com/jbengler/tidyplots/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-06 23:27:30 UTC; janbroderengler
Author: Jan Broder Engler [aut, cre, cph]
Maintainer: Jan Broder Engler <broder.engler@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-08 15:00:02 UTC

More information about tidyplots at CRAN
Permanent link

New package redcas with initial version 0.1.1
Package: redcas
Depends: R (>= 3.5.0), methods
Title: An Interface to the Computer Algebra System 'REDUCE'
Version: 0.1.1
Date: 2024-11-05
Author: Martin Gregory [aut, cre]
Maintainer: Martin Gregory <mairtin.macghreagoir@gmail.com>
Description: 'REDUCE' is a portable general-purpose computer algebra system supporting scalar, vector, matrix and tensor algebra, symbolic differential and integral calculus, arbitrary precision numerical calculations and output in 'LaTeX' format. 'REDUCE' is based on 'Lisp' and is available on the two dialects 'Portable Standard Lisp' ('PSL') and 'Codemist Standard Lisp' ('CSL'). The 'redcas' package provides an interface for executing arbitrary 'REDUCE' code interactively from 'R', returning output as character vectors. 'R' code and 'REDUCE' code can be interspersed. It also provides a specialized function for calling the 'REDUCE' feature for solving systems of equations, returning the output as an 'R' object designed for the purpose. A further specialized function uses 'REDUCE' features to generate 'LaTeX' output and post-processes this for direct use in 'LaTeX' documents, e.g. using 'Sweave'.
License: GPL-3
SystemRequirements: 'REDUCE' <http://www.reduce-algebra.com>. At least one of the 'CSL' or 'PSL' dialects must be installed in order to use the package. Tested with 'REDUCE' releases 6860 and 6558 for both 'CSL' and 'PSL' on Linux, and 6558 and 6339 for 'CSL' on MacOS
NeedsCompilation: no
OS_type: unix
Packaged: 2024-11-05 16:30:11 UTC; mg
Repository: CRAN
Date/Publication: 2024-11-08 14:50:02 UTC

More information about redcas at CRAN
Permanent link

New package metasnf with initial version 1.1.1
Package: metasnf
Title: Meta Clustering with Similarity Network Fusion
Version: 1.1.1
Description: Framework to facilitate patient subtyping with similarity network fusion and meta clustering. The similarity network fusion (SNF) algorithm was introduced by Wang et al. (2014) in <doi:10.1038/nmeth.2810>. SNF is a data integration approach that can transform high-dimensional and diverse data types into a single similarity network suitable for clustering with minimal loss of information from each initial data source. The meta clustering approach was introduced by Caruana et al. (2006) in <doi:10.1109/ICDM.2006.103>. Meta clustering involves generating a wide range of cluster solutions by adjusting clustering hyperparameters, then clustering the solutions themselves into a manageable number of qualitatively similar solutions, and finally characterizing representative solutions to find ones that are best for the user's specific context. This package provides a framework to easily transform multi-modal data into a wide range of similarity network fusion-derived cluster solutio [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: cluster, digest, dplyr, ggplot2, grDevices, MASS, mclust, methods, progressr, purrr, rlang, SNFtool, stats, tidyr, utils
Suggests: circlize, ComplexHeatmap, InteractiveComplexHeatmap, clv, future, future.apply, knitr, rmarkdown, testthat (>= 3.0.0), ggalluvial, dbscan
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
URL: https://branchlab.github.io/metasnf/, https://github.com/BRANCHlab/metasnf/
BugReports: https://github.com/BRANCHlab/metasnf/issues
NeedsCompilation: no
Packaged: 2024-11-06 18:40:32 UTC; prashanth
Author: Prashanth S Velayudhan [aut, cre], Xiaoqiao Xu [aut], Prajkta Kallurkar [aut], Ana Patricia Balbon [aut], Maria T Secara [aut], Adam Taback [aut], Denise Sabac [aut], Nicholas Chan [aut], Shihao Ma [aut], Bo Wang [aut], Daniel Felsky [aut], Stephanie [...truncated...]
Maintainer: Prashanth S Velayudhan <psvelayu@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-08 15:00:08 UTC

More information about metasnf at CRAN
Permanent link

New package ineAtlas with initial version 0.1.2
Package: ineAtlas
Title: Access to Spanish Household Income Distribution Atlas Data
Version: 0.1.2
Description: Provides access to granular socioeconomic indicators from the Spanish Statistical Office (INE) Household Income Distribution Atlas. The package downloads and processes data from a companion 'GitHub' repository (<https://github.com/pablogguz/ineAtlas.data/>) which contains processed versions of the official INE Atlas data. Functions are provided to fetch data at multiple geographic levels (municipalities, districts, and census tracts), including income indicators, demographic characteristics, and inequality metrics. The data repository is updated every year when new releases are published by INE.
License: MIT + file LICENSE
URL: https://github.com/pablogguz/ineAtlas, https://pablogguz.github.io/ineAtlas/
BugReports: https://github.com/pablogguz/ineAtlas/issues
Imports: dplyr, httr, readr, sf, stringr, utils, zip
Suggests: data.table, extrafont, ggplot2, ggtext, knitr, mapSpain, mockery, rmarkdown, spelling, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-06 19:31:47 UTC; pablo
Author: Pablo Garcia Guzman [aut, cre, cph]
Maintainer: Pablo Garcia Guzman <garciagp@ebrd.com>
Repository: CRAN
Date/Publication: 2024-11-08 15:00:17 UTC

More information about ineAtlas at CRAN
Permanent link

New package ILSAmerge with initial version 1.0.0
Package: ILSAmerge
Title: Merge and Download International Large-Scale Assessments (ILSA) Data
Version: 1.0.0
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>
Description: Merges and downloads 'SPSS' data from different International Large-Scale Assessments (ILSA), including: Trends in International Mathematics and Science Study (TIMSS), Progress in International Reading Literacy Study (PIRLS), Programme for International Student Assessment (PISA), and others.
License: GPL (>= 3.0)
URL: https://github.com/dopatendo/ILSAmerge
Imports: haven
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-06 17:24:19 UTC; andreschristiansen
Author: Andres Christiansen [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-08 14:50:06 UTC

More information about ILSAmerge at CRAN
Permanent link

New package ife with initial version 0.1.0
Package: ife
Title: Influence Function Based Estimate Objects
Version: 0.1.0
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>
Description: Implements an S7 class for estimates based on influence functions. Standard arithmetic operations are defined for the class.
License: GPL (>= 3)
Encoding: UTF-8
Imports: cli, generics, S7
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-11-06 19:03:21 UTC; nicholaswilliams
Author: Nicholas Williams [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-08 15:00:20 UTC

More information about ife at CRAN
Permanent link

New package epicmodel with initial version 0.1.1
Package: epicmodel
Title: Causal Modeling in Epidemiology
Version: 0.1.1
Description: Create causal models for use in epidemiological studies, including sufficient-component cause models as introduced by Rothman (1976) <doi:10.1093/oxfordjournals.aje.a112335>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: checkmate, cli, dagitty, DiagrammeR, dplyr, DT, ggplot2, gtools, magrittr, methods, prompter, purrr, rlang, shiny, shinyalert, shinyjs, shinythemes, spsUtil, stringr, tibble, tidyr
Suggests: ggdag, ggforce, ggraph, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
LazyData: true
VignetteBuilder: knitr
URL: https://forsterepi.github.io/epicmodel/, https://github.com/forsterepi/epicmodel
BugReports: https://github.com/forsterepi/epicmodel/issues
NeedsCompilation: no
Packaged: 2024-11-06 10:44:37 UTC; ffors
Author: Felix Forster [aut, cre, cph]
Maintainer: Felix Forster <felix.forster@med.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2024-11-08 14:30:01 UTC

More information about epicmodel at CRAN
Permanent link

New package DTSR with initial version 0.1.0
Package: DTSR
Version: 0.1.0
Date: 2024-10-22
Title: Distributed Trimmed Scores Regression for Handling Missing Data
Author: Guangbao Guo [aut, cre, cph] , Ruiling Niu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: Provides functions for handling missing data using Distributed Trimmed Scores Regression and other imputation methods. It includes facilities for data imputation, evaluation metrics, and clustering analysis. It is designed to work in distributed computing environments to handle large datasets efficiently. The philosophy of the package is described in Guo G. (2024) <doi:10.1080/03610918.2022.2091779>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Repository: CRAN
Imports: stats, mvdalab, DMwR2, cluster, MASS
NeedsCompilation: no
Packaged: 2024-11-06 08:37:30 UTC; ASUS
Date/Publication: 2024-11-08 14:30:06 UTC

More information about DTSR at CRAN
Permanent link

Thu, 07 Nov 2024

New package WMAP with initial version 1.0.0
Package: WMAP
Title: Weighted Meta-Analysis with Pseudo-Populations
Version: 1.0.0
Description: Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) <doi:10.1093/biomtc/ujae070>, which includes an extension of inverse probability weights for data integration settings.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: pkgcond, ggplot2, zeallot, caret, randomForest, forcats, utils, stats, grDevices
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-11-06 02:25:33 UTC; doggydoggy
Author: Subharup Guha [aut, cre], Mengqi Xu [aut], Kashish Priyam [aut], Yi Li [aut]
Maintainer: Subharup Guha <s.guha@ufl.edu>
Repository: CRAN
Date/Publication: 2024-11-07 18:40:02 UTC

More information about WMAP at CRAN
Permanent link

New package threeBrain with initial version 1.2.0
Package: threeBrain
Title: Your Advanced 3D Brain Visualization
Version: 1.2.0
Description: A fast, interactive cross-platform, and easy to share 'WebGL'-based 3D brain viewer that visualizes 'FreeSurfer' and/or 'AFNI/SUMA' surfaces. The viewer widget can be either standalone or embedded into 'R-shiny' applications. The standalone version only require a web browser with 'WebGL2' support (for example, 'Chrome', 'Firefox', 'Safari'), and can be inserted into any websites. The 'R-shiny' support allows the 3D viewer to be dynamically generated from reactive user inputs. Please check the publication by Wang, Magnotti, Zhang, and Beauchamp (2023, <doi:10.1523/ENEURO.0328-23.2023>) for electrode localization. This viewer has been fully adopted by 'RAVE' <https://openwetware.org/wiki/RAVE>, an interactive toolbox to analyze 'iEEG' data by Magnotti, Wang, and Beauchamp (2020, <doi:10.1016/j.neuroimage.2020.117341>). Please check 'citation("threeBrain")' for details.
License: MPL-2.0
Encoding: UTF-8
Language: en-US
URL: https://dipterix.org/threeBrain/, https://github.com/dipterix/threeBrain
BugReports: https://github.com/dipterix/threeBrain/issues
Imports: utils, grDevices, graphics, dipsaus, xml2, servr, png, knitr, shiny (>= 1.2.0), digest (>= 0.6.22), freesurferformats (>= 0.1.7), jsonlite (>= 1.5), stringr (>= 1.3.1), htmlwidgets (>= 1.3), R6 (>= 2.3.0), gifti (>= 0.7.5), oro.nifti (>= 0.9.1)
Suggests: rmarkdown, DT, ravetools, htmltools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-05 16:10:27 UTC; dipterix
Author: Zhengjia Wang [aut, cre, cph], John Magnotti [ctb, res], Xiang Zhang [ctb, res], Brian Metzger [res], Elizabeth Nesbitt [res], Meng Li [ths], Michael Beauchamp [ths, ctb, dtc]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-07 18:20:03 UTC

More information about threeBrain at CRAN
Permanent link

New package shelter with initial version 0.1.1
Package: shelter
Title: Support for Secure API Key Management
Version: 0.1.1
Maintainer: Shawn Garbett <Shawn.Garbett@vumc.org>
Description: Secure handling of API keys can be difficult. This package provides secure convenience functions for entering / handling API keys and opening connections via inversion of control on those keys. Works seamlessly between production and developer environments.
Depends: R (>= 4.1.0)
License: GPL-3
Encoding: UTF-8
Imports: checkmate, getPass, yaml, filelock, rappdirs, sodium
Suggests: testthat (>= 3.0.0), rstudioapi, mockery
URL: https://github.com/vubiostat/shelter
BugReports: https://github.com/vubiostat/shelter/issues
NeedsCompilation: no
Packaged: 2024-11-05 21:06:37 UTC; garbetsp
Author: Benjamin Nutter [ctb, aut], Shawn Garbett [cre, ctb] , Hui Wu [aut], Cole Beck [aut], Savannah Obregon [aut]
Repository: CRAN
Date/Publication: 2024-11-07 18:30:02 UTC

More information about shelter at CRAN
Permanent link

New package washr with initial version 1.0.1
Package: washr
Title: Publication Toolkit for Water, Sanitation and Hygiene (WASH) Data
Version: 1.0.1
Description: A toolkit to set up an R data package in a consistent structure. Automates tasks like tidy data export, data dictionary documentation, README and website creation, and citation management.
License: GPL (>= 3)
Encoding: UTF-8
Imports: desc (>= 1.4.3), devtools (>= 2.4.5), cffr (>= 1.0.1), pkgdown (>= 2.0.7), rlang (>= 1.1.3), usethis (>= 2.2.3), utils (>= 4.3.3)
Language: en-GB
Date: 2024-11-01
URL: https://openwashdata.github.io/washr/
BugReports: https://github.com/openwashdata/washr/issues
Suggests: knitr, rmarkdown, testthat (>= 3.2.1), withr (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-05 12:05:48 UTC; cwalder
Author: Mian Zhong [aut] , Margaux Goetschmann [aut] , Colin Walder [aut, cre] , Lars Schoebitz [aut] , Global Health Engineering, ETH Zurich [cph]
Maintainer: Colin Walder <cwalder@ethz.ch>
Repository: CRAN
Date/Publication: 2024-11-07 17:50:02 UTC

More information about washr at CRAN
Permanent link

New package visualpred with initial version 0.1.1
Package: visualpred
Title: Visualization 2D of Binary Classification Models
Version: 0.1.1
Description: Visual contour and 2D point and contour plots for binary classification modeling under algorithms such as 'glm', 'rf', 'gbm', 'nnet' and 'svm', presented over two dimensions generated by 'famd' and 'mca' methods. Package 'FactoMineR' for multivariate reduction functions and package 'MBA' for interpolation functions are used. The package can be used to visualize the discriminant power of input variables and algorithmic modeling, explore outliers, compare algorithm behaviour, etc. It has been created initially for teaching purposes, but it has also many practical uses under the 'XAI' paradigm.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: gbm, randomForest, nnet (>= 7.3.12), e1071, MASS (>= 7.3.51.4), magrittr, FactoMineR (>= 2.3), ggplot2 (>= 3.3.0), mltools, dplyr, data.table, MBA, pROC, ggrepel
Suggests: knitr, markdown,egg
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Maintainer: Javier Portela <javipgm@gmail.com>
Packaged: 2024-11-07 10:23:39 UTC; TrendingPC
Author: Javier Portela [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-07 12:30:02 UTC

More information about visualpred at CRAN
Permanent link

Wed, 06 Nov 2024

New package psidR with initial version 2.3
Package: psidR
Title: Build Panel Data Sets from PSID Raw Data
Version: 2.3
Date: 2024-11-05
Maintainer: Florian Oswald <florian.oswald@gmail.com>
Description: Makes it easy to build panel data in wide format from Panel Survey of Income Dynamics (PSID) delivered raw data. Downloads data directly from the PSID server using the 'SAScii' package. 'psidR' takes care of merging data from each wave onto a cross-period index file, so that individuals can be followed over time. The user must specify which years they are interested in, and the 'PSID' variable names (e.g. ER21003) for each year (they differ in each year). The package offers helper functions to retrieve variable names from different waves. There are different panel data designs and sample subsetting criteria implemented ("SRC", "SEO", "immigrant" and "latino" samples). More information about the PSID can be obtained at <https://simba.isr.umich.edu/data/data.aspx>.
Depends: R (>= 3.5.0)
URL: https://github.com/floswald/psidR
Imports: data.table, RCurl, foreign, SAScii, openxlsx, futile.logger
License: GPL-3
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2024-11-05 13:50:37 UTC; floswald
Author: Florian Oswald [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-06 21:30:02 UTC

More information about psidR at CRAN
Permanent link

New package afcharts with initial version 0.4.0
Package: afcharts
Title: Produce Charts Following UK Government Analysis Function Guidance
Version: 0.4.0
Description: Colour palettes and a 'ggplot2' theme to follow the UK Government Analysis Function best practice guidance for producing data visualisations, available at <https://analysisfunction.civilservice.gov.uk/policy-store/data-visualisation-charts/>. Includes continuous and discrete colour and fill scales, as well as a 'ggplot2' theme.
License: MIT + file LICENSE
URL: https://github.com/best-practice-and-impact/afcharts, https://best-practice-and-impact.github.io/afcharts/
BugReports: https://github.com/best-practice-and-impact/afcharts/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: ggplot2, scales, cli, rlang, dplyr
Suggests: ggtext, knitr, rmarkdown, tibble, tidyr, glue, purrr, stringr, testthat (>= 2.1.0), plotly, gt, svglite (>= 2.1.2), ragg (>= 1.2.6), gapminder
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-05 10:32:59 UTC; OBoxPower
Author: Crown Copyright [cph], Government Analysis Function [fnd], Alice Hannah [aut], Olivia Box Power [cre, ctb]
Maintainer: Olivia Box Power <Olivia.BoxPower@dhsc.gov.uk>
Repository: CRAN
Date/Publication: 2024-11-06 21:10:02 UTC

More information about afcharts at CRAN
Permanent link

New package rbc with initial version 0.1.0
Package: rbc
Title: Regression by Composition
Version: 0.1.0
Description: Flexible statistical modelling using a modular framework for regression, in which groups of transformations are composed together and act on probability distributions.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: Formula, R6
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-05 09:47:34 UTC; daniel
Author: Daniel Farewell [aut, cre, cph] , Simon Schoenbuchner [ctb]
Maintainer: Daniel Farewell <farewelld@cardiff.ac.uk>
Repository: CRAN
Date/Publication: 2024-11-06 21:00:01 UTC

More information about rbc at CRAN
Permanent link

New package PJFM with initial version 0.1.0
Package: PJFM
Title: Variational Inference for High-Dimensional Joint Frailty Model
Version: 0.1.0
Maintainer: Jiehuan Sun <jiehuan.sun@gmail.com>
Description: Joint frailty models have been widely used to study the associations between recurrent events and a survival outcome. However, existing joint frailty models only consider one or a few recurrent events and cannot deal with high-dimensional recurrent events. This package can be used to fit our recently developed penalized joint frailty model that can handle high-dimensional recurrent events. Specifically, an adaptive lasso penalty is imposed on the parameters for the effects of the recurrent events on the survival outcome, which allows for variable selection. Also, our algorithm is computationally efficient, which is based on the Gaussian variational approximation method.
Depends: R (>= 3.6.0)
Imports: Rcpp (>= 1.0.0), survival(>= 3.2), statmod(>= 1.4), pracma(>= 2.2), Matrix(>= 1.3)
LinkingTo: Rcpp, RcppArmadillo, RcppEnsmallen
Suggests: splines
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-11-05 05:24:37 UTC; JiehuanSun
Author: Jiehuan Sun [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-06 21:00:06 UTC

More information about PJFM at CRAN
Permanent link

New package ratlas with initial version 0.1.0
Package: ratlas
Title: ATLAS Formatting Functions and Templates
Version: 0.1.0
Description: Provides templates, formatting tools, and 'ggplot2' themes tailored for the Accessible Teaching, Learning, and Assessment Systems (ATLAS) organization. These templates facilitate the creation of topic guides and technical reports, while the formatting functions enable users to customize numbers and tables to meet specific requirements. Additionally, the themes ensure a uniform visual style across graphics.
License: GPL-3
VignetteBuilder: knitr
URL: https://ratlas.netlify.app, https://github.com/atlas-aai/ratlas
BugReports: https://github.com/atlas-aai/ratlas/issues
Depends: R (>= 3.5.0)
Imports: bookdown (>= 0.9), colorspace (>= 1.4.1), dplyr (>= 0.8.1), extrafont (>= 0.17), fs (>= 1.2.7), ggplot2 (>= 3.3.2), ggtext (>= 0.1.1), glue (>= 1.3.1), grDevices, hrbrthemes (>= 0.6.0), knitr (>= 1.22), magrittr (>= 1.5), officedown (>= 0.2.2), purrr (>= 0.3.4), rlang (>= 0.3.4), scales (>= 1.0.0), stringr (>= 1.4.0), tibble (>= 2.1.3), tidyr (>= 0.8.3), xaringan (>= 0.11), xfun (>= 0.12)
Suggests: covr (>= 3.2.1), cowplot (>= 1.0.0), dichromat (>= 2.0.0), english (>= 1.2.3), here (>= 0.1), kableExtra (>= 1.1.0), lintr (>= 1.0.3), magick (>= 2.2), pkgdown (>= 2.0.7), rmarkdown (>= 1.12), spelling (>= 2.1), testthat (>= 2.1.0), tinytex (>= 0.13), usethis (>= 1.6.0), vdiffr (>= 0.3.1), viridis (>= 0.5.1), withr (>= 2.2.0)
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-04 20:42:06 UTC; n013p475
Author: W. Jake Thompson [aut, cre] , Noelle Pablo [aut], Jeffrey Hoover [aut] , University of Kansas [cph, fnd]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-06 16:20:02 UTC

More information about ratlas at CRAN
Permanent link

New package iucnr with initial version 0.0.0.1
Package: iucnr
Title: IUCN Red List Data
Version: 0.0.0.1
Description: Facilitates access to the International Union for Conservation of Nature (IUCN) Red List of Threatened Species, a comprehensive global inventory of species at risk of extinction. This package streamlines the process of determining conservation status by matching species names with Red List data, providing tools to easily query and retrieve conservation statuses. Designed to support biodiversity research and conservation planning, this package relies on data from the 'iucnrdata' package, available on GitHub <https://github.com/PaulESantos/iucnrdata>. To install the data package, use pak::pak('PaulESantos/iucnrdata').
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/PaulESantos/iucnr, https://paulesantos.github.io/iucnr/
BugReports: https://github.com/PaulESantos/iucnr/issues
Depends: R (>= 2.10)
Imports: cli, dplyr, stringr
Suggests: rlang, testthat (>= 3.0.0), iucnrdata
NeedsCompilation: no
Packaged: 2024-11-04 17:03:06 UTC; PC
Author: Paul Efren Santos Andrade [aut, cre]
Maintainer: Paul Efren Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-06 16:10:05 UTC

More information about iucnr at CRAN
Permanent link

New package divent with initial version 0.4-4
Package: divent
Title: Entropy Partitioning to Measure Diversity
Version: 0.4-4
Description: Measurement and partitioning of diversity, based on Tsallis entropy, following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>. 'divent' provides functions to estimate alpha, beta and gamma diversity of communities, including phylogenetic and functional diversity.
URL: https://ericmarcon.github.io/divent/, https://github.com/EricMarcon/divent
BugReports: https://github.com/EricMarcon/divent/issues
License: GNU General Public License
Depends: R (>= 3.5)
Imports: ape, cli, dplyr, ggplot2, graphics, EntropyEstimation, RColorBrewer, Rdpack, rlang, stats, tibble, tidyr, vegan
Suggests: ade4, knitr, pkgdown, rmarkdown, SPECIES, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
SystemRequirements: pandoc
NeedsCompilation: no
Packaged: 2024-11-04 16:41:15 UTC; emarc
Author: Eric Marcon [aut, cre]
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>
Repository: CRAN
Date/Publication: 2024-11-06 16:10:08 UTC

More information about divent at CRAN
Permanent link

New package rtiktoken with initial version 0.0.6
Package: rtiktoken
Title: A Byte-Pair-Encoding (BPE) Tokenizer for OpenAI's Large Language Models
Version: 0.0.6
Description: A thin wrapper around the tiktoken-rs crate, allowing to encode text into Byte-Pair-Encoding (BPE) tokens and decode tokens back to text. This is useful to understand how Large Language Models (LLMs) perceive text.
License: MIT + file LICENSE
URL: https://davzim.github.io/rtiktoken/, https://github.com/DavZim/rtiktoken/
BugReports: https://github.com/DavZim/rtiktoken/issues
Suggests: testthat (>= 3.0.0)
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65.0
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-11-04 12:18:08 UTC; dazimme
Author: David Zimmermann-Kollenda [aut, cre], Roger Zurawicki [aut] , Authors of the dependent Rust crates [aut]
Maintainer: David Zimmermann-Kollenda <david_j_zimmermann@hotmail.com>
Repository: CRAN
Date/Publication: 2024-11-06 15:40:02 UTC

More information about rtiktoken at CRAN
Permanent link

New package OasisR with initial version 3.1.1
Package: OasisR
Version: 3.1.1
Date: 2024-11-04
Title: Outright Tool for the Analysis of Spatial Inequalities and Segregation
Description: A comprehensive set of indexes and tests for social segregation analysis, as described in Tivadar (2019) - 'OasisR': An R Package to Bring Some Order to the World of Segregation Measurement <doi:10.18637/jss.v089.i07>. The package is the most complete existing tool and it clarifies many ambiguities and errors regarding the definition of segregation indices. Additionally, 'OasisR' introduces several resampling methods that enable testing their statistical significance (randomization tests, bootstrapping, and jackknife methods).
Depends: R (>= 4.4.0)
Imports: spdep (>= 1.3-6), measurements (>= 1.5.1), sf (>= 1.0-18), outliers (>= 0.15), methods (>= 4.4.0)
License: GPL-2 | GPL-3
LazyData: true
Suggests: testthat (>= 3.2.1.1)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-04 09:10:46 UTC; mtivadar
Author: Mihai Tivadar [aut, cre]
Maintainer: Mihai Tivadar <mihai.tivadar@inrae.fr>
Repository: CRAN
Date/Publication: 2024-11-06 15:30:05 UTC

More information about OasisR at CRAN
Permanent link

New package ntfy with initial version 0.0.6
Package: ntfy
Title: Lightweight Wrapper to the 'ntfy.sh' Service
Version: 0.0.6
Maintainer: Jonathan Carroll <rpkg@jcarroll.com.au>
Description: The 'ntfy' (pronounce: notify) service is a simple HTTP-based pub-sub notification service. It allows you to send notifications to your phone or desktop via scripts from any computer, entirely without signup, cost or setup. It's also open source if you want to run your own. Visit <https://ntfy.sh> for more details.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr2, jsonlite
URL: https://github.com/jonocarroll/ntfy
BugReports: https://github.com/jonocarroll/ntfy/issues
Depends: R (>= 4.1)
LazyData: true
Suggests: ggplot2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-11-04 08:40:18 UTC; jono
Author: Jonathan Carroll [aut, cre] , Andrew Heiss [ctb]
Repository: CRAN
Date/Publication: 2024-11-06 15:20:02 UTC

More information about ntfy at CRAN
Permanent link

New package heterocop with initial version 0.1.0.0
Package: heterocop
Title: Semi-Parametric Estimation with Gaussian Copula
Version: 0.1.0.0
Description: A method for generating random vectors which are linked by a Gaussian copula. It also enables to estimate the correlation matrix of the Gaussian copula in order to identify independencies within the data.
Imports: mvtnorm, stats, igraph, matrixcalc, graphics, foreach, stringr, doSNOW, utils
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, kableExtra, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-04 10:27:53 UTC; etomilina
Author: Julie Cartier [aut], Florence Jaffrezic [aut], Gildas Mazo [aut], Ekaterina Tomilina [aut, cre]
Maintainer: Ekaterina Tomilina <ekaterina.tomilina@inrae.fr>
Repository: CRAN
Date/Publication: 2024-11-06 15:30:02 UTC

More information about heterocop at CRAN
Permanent link

New package gpcp with initial version 0.1.0
Package: gpcp
Title: Genomic Prediction of Cross Performance
Version: 0.1.0
Maintainer: Christine Nyaga <cmn92@cornell.edu>
Description: This function performs genomic prediction of cross performance using genotype and phenotype data. It processes data in several steps including loading necessary software, converting genotype data, processing phenotype data, fitting mixed models, and predicting cross performance based on weighted marker effects. For more information, see Labroo et al. (2023) <doi:10.1007/s00122-023-04377-z>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: BiocManager, Rcpp, dplyr, sommer, AGHmatrix, snpStats, VariantAnnotation, tools, magrittr, methods
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2024-11-04 13:31:44 UTC; cmn92
Author: Marlee Labroo [aut], Christine Nyaga [cre, aut], Lukas Mueller [aut]
Repository: CRAN
Date/Publication: 2024-11-06 15:50:02 UTC

More information about gpcp at CRAN
Permanent link

New package exams2forms with initial version 0.1-0
Package: exams2forms
Version: 0.1-0
Date: 2024-11-04
Title: Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto' Documents
Description: Automatic generation of quizzes or individual questions as (interactive) forms within 'rmarkdown' or 'quarto' documents based on 'R/exams' exercises.
Depends: R (>= 4.0.0), exams (>= 2.4-0)
Imports: grDevices, tools, utils, knitr, rmarkdown
Suggests: xfun
License: GPL-3
URL: https://www.R-exams.org/
BugReports: https://www.R-exams.org/contact/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-04 07:22:42 UTC; zeileis
Author: Achim Zeileis [aut, cre] , Reto Stauffer [aut] , Dale Barr [ctb] , Lisa DeBruine [ctb] , Florian Stampfer [ctb] , Jonas Tscholl [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>
Repository: CRAN
Date/Publication: 2024-11-06 15:20:05 UTC

More information about exams2forms at CRAN
Permanent link

New package ABRSQOL with initial version 1.0.0
Package: ABRSQOL
Title: Quality-of-Life Solver for "Measuring Quality of Life under Spatial Frictions"
Version: 1.0.0
Description: This toolkit implements a numerical solution algorithm to invert a quality of life measure from observed data. Unlike the traditional Rosen-Roback measure, this measure accounts for mobility frictions—generated by idiosyncratic tastes and local ties — and trade frictions — generated by trade costs and non-tradable services, thereby reducing non-classical measurement error. The QoL measure is based on Ahlfeldt, Bald, Roth, Seidel (2024) <https://econpapers.repec.org/RePEc:boc:bocode:s459382> "Measuring Quality of Life under Spatial Frictions". When using this programme or the toolkit in your work, please cite the paper.
URL: https://github.com/Ahlfeldt/ABRSQOL-toolkit#readme
BugReports: https://github.com/Ahlfeldt/ABRSQOL-toolkit/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-11-04 14:39:54 UTC; BSE
Author: Gabriel M Ahlfeldt [cph, aut] , Fabian Bald [aut] , Duncan Roth [aut] , Tobias Seidel [aut] , Max von Mylius [trl, cre]
Maintainer: Max von Mylius <max.mylius@hu-berlin.de>
Repository: CRAN
Date/Publication: 2024-11-06 16:00:02 UTC

More information about ABRSQOL at CRAN
Permanent link

New package aods3 with initial version 0.5
Package: aods3
Version: 0.5
Title: Analysis of Overdispersed Data using S3 Methods
Depends: R (>= 3.0.0), stats
Suggests: boot, lme4
Description: Provides functions to analyse overdispersed counts or proportions. These functions should be considered as complements to more sophisticated methods such as generalized estimating equations (GEE) or generalized linear mixed effect models (GLMM). aods3 is an S3 re-implementation of the deprecated S4 package aod.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-04 16:10:48 UTC; siberchicot
Author: Matthieu Lesnoff [aut], Renaud Lancelot [aut], Aurelie Siberchicot [ctb, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>
Repository: CRAN
Date/Publication: 2024-11-06 15:00:02 UTC

More information about aods3 at CRAN
Permanent link

New package RCPA with initial version 0.2.5
Package: RCPA
Title: Consensus Pathway Analysis
Version: 0.2.5
Description: Provides a set of functions to perform pathway analysis and meta-analysis from multiple gene expression datasets, as well as visualization of the results. This package wraps functionality from the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu et al. (2012) <https://CRAN.R-project.org/package=CePa>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0), tidyr, dplyr, ggplot2, utils, stats
Imports: AnnotationDbi, SummarizedExperiment, BiocManager, Biobase, DESeq2, GEOquery, edgeR, limma, stringr(>= 1.5.0), ggnewscale, ggrepel, graph, httr, rlang, ggpattern, scales, RobustRankAggreg, methods, jsonlite, IRdisplay
Suggests: knitr, rmarkdown, markdown, testthat (>= 3.0.0), ROntoTools, fgsea, GSA, CePa, meta, png, ggvenn, RCurl, XML, S4Vectors, hgu133plus2.db, org.Hs.eg.db, pd.hg.u133.plus.2, oligo
VignetteBuilder: knitr, rmarkdown
BugReports: https://github.com/tinnlab/RCPA/issues
NeedsCompilation: no
Packaged: 2024-11-05 17:18:25 UTC; hanguyen
Author: Ha Nguyen [aut, cre], Phi Bya [aut], Zeynab Maghsoudi [aut], Tin Nguyen [fnd]
Maintainer: Ha Nguyen <hvn0006@auburn.edu>
Repository: CRAN
Date/Publication: 2024-11-06 08:20:05 UTC

More information about RCPA at CRAN
Permanent link

New package imuf with initial version 0.3.0
Package: imuf
Title: Estimate Orientation of an Inertial Measurement Unit
Version: 0.3.0
Description: Estimate the orientation of an inertial measurement unit (IMU) with a 3-axis accelerometer and a 3-axis gyroscope using a complementary filter. 'imuf' takes an IMU's accelerometer and gyroscope readings, time duration, its initial orientation, and a gain factor as inputs, and returns an estimate of the IMU's final orientation.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen
Imports: Rcpp
Suggests: testthat (>= 3.0.0)
URL: https://github.com/gitboosting/imuf, https://gitboosting.github.io/imuf/
BugReports: https://github.com/gitboosting/imuf/issues
NeedsCompilation: yes
Packaged: 2024-11-06 02:53:38 UTC; mkcha
Author: Felix Chan [aut, cre, cph]
Maintainer: Felix Chan <chanfelix@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-06 08:20:02 UTC

More information about imuf at CRAN
Permanent link

New package card with initial version 0.1.1
Package: card
Title: Cardiovascular Applications in Research Data
Version: 0.1.1
Description: A collection of cardiovascular research datasets and analytical tools, including methods for cardiovascular procedural data, such as electrocardiography, echocardiography, and catheterization data. Additional methods exist for analysis of procedural billing codes.
License: MIT + file LICENSE
URL: https://cran.r-project.org/package=card
BugReports: https://github.com/shah-in-boots/card/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1),
Imports: stats, generics, ggplot2, tidyr, dplyr, purrr, tibble, rlang, parsnip, hardhat,
Suggests: kableExtra, knitr, rmarkdown, covr, testthat, broom.mixed, ggrepel
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-29 03:08:29 UTC; asshah4
Author: Anish S. Shah [aut, cre, cph]
Maintainer: Anish S. Shah <shah.in.boots@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-06 07:40:02 UTC

More information about card at CRAN
Permanent link

Tue, 05 Nov 2024

New package subsampling with initial version 0.1.1
Package: subsampling
Title: Optimal Subsampling Methods for Statistical Models
Version: 0.1.1
Date: 2024-11-2
Maintainer: Qingkai Dong <qingkai.dong@uconn.edu>
Description: Balancing computational and statistical efficiency, subsampling techniques offer a practical solution for handling large-scale data analysis. Subsampling methods enhance statistical modeling for massive datasets by efficiently drawing representative subsamples from full dataset based on tailored sampling probabilities. These probabilities are optimized for specific goals, such as minimizing the variance of coefficient estimates or reducing prediction error.
License: GPL-3
URL: https://github.com/dqksnow/Subsampling
BugReports: https://github.com/dqksnow/Subsampling/issues
Imports: expm, nnet, quantreg, Rcpp (>= 1.0.12), stats, survey
Suggests: knitr, MASS, rmarkdown, tinytest
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-11-02 23:30:06 UTC; qingkaidong
Author: Qingkai Dong [aut, cre, cph], Yaqiong Yao [aut], Haiying Wang [aut], Qiang Zhang [ctb], Jun Yan [ctb]
Repository: CRAN
Date/Publication: 2024-11-05 10:20:02 UTC

More information about subsampling at CRAN
Permanent link

New package lubrilog with initial version 1.1.0
Package: lubrilog
Title: Get Insights on 'lubridate' Operations
Version: 1.1.0
Description: Provides a set of tools designed to enhance transparency and understanding of date-time manipulation functions from the 'lubridate' package. It provides detailed feedback about the operations performed by 'lubridate' functions, allowing users to better comprehend and debug their code. These insights serve as both a learning tool for newcomers and a debugging aid for programmers working with date-time data.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: cli, lubridate
Suggests: testthat (>= 3.0.0)
URL: https://github.com/arrismo/lubrilog
NeedsCompilation: no
Packaged: 2024-11-03 15:42:51 UTC; mmois
Author: Mikael Moise [aut, cre, cph]
Maintainer: Mikael Moise <mikaelmoise00@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-05 10:30:02 UTC

More information about lubrilog at CRAN
Permanent link

New package hdbcp with initial version 0.1.0
Package: hdbcp
Title: Bayesian Change Point Detection for High-Dimensional Data
Version: 0.1.0
Maintainer: JaeHoon Kim <jhkimstat@gmail.com>
Description: Functions implementing change point detection methods using the maximum pairwise Bayes factor approach. Additionally, the package includes tools for generating simulated datasets for comparing and evaluating change point detection techniques.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/JaeHoonKim98/hdbcp
BugReports: https://github.com/JaeHoonKim98/hdbcp/issues
Imports: Rcpp, stats, dplyr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-11-03 13:24:49 UTC; jhkim
Author: JaeHoon Kim [aut, cre], KyoungJae Lee [aut, ths]
Repository: CRAN
Date/Publication: 2024-11-05 10:20:07 UTC

More information about hdbcp at CRAN
Permanent link

New package dverse with initial version 0.0.1
Package: dverse
Title: Document a Universe of Packages
Version: 0.0.1
Description: Creates a data frame containing the metadata associated with the documentation of a collection of R packages. It allows for linking topic names to their corresponding documentation online. If you maintain a universe meta-package, it helps create a comprehensive reference for its website.
License: MIT + file LICENSE
URL: https://github.com/maurolepore/dverse, https://maurolepore.github.io/dverse/
BugReports: https://github.com/maurolepore/dverse/issues
Depends: R (>= 4.3)
Imports: cli, dplyr, glue, rlang, tibble, utils
Suggests: DT, knitr, testthat, withr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-03 19:42:44 UTC; rstudio
Author: Mauro Lepore [aut, cre, cph]
Maintainer: Mauro Lepore <maurolepore@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-05 10:30:06 UTC

More information about dverse at CRAN
Permanent link

New package cocoon with initial version 0.1.0
Package: cocoon
Title: Extract, Format, and Print Statistical Output
Version: 0.1.0
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>
Description: Provides functions that format statistical output in a way that can be inserted into R Markdown documents. This is analogous to the apa_print() functions in the 'papaja' package but prints Markdown or LaTeX syntax.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: BayesFactor, correlation, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, lifecycle
URL: https://github.com/JeffreyRStevens/cocoon, https://jeffreyrstevens.github.io/cocoon/
BugReports: https://github.com/JeffreyRStevens/cocoon/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-02 20:30:27 UTC; jstevens
Author: Jeffrey R. Stevens [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-05 10:10:02 UTC

More information about cocoon at CRAN
Permanent link

New package minFactorial with initial version 0.1.0
Package: minFactorial
Title: All Possible Minimally Changed Factorial Run Orders
Version: 0.1.0
Maintainer: Bijoy Chanda <bijoychanda08@gmail.com>
Description: In many agricultural, engineering, industrial, post-harvest and processing experiments, the number of factor level changes and hence the total number of changes is of serious concern as such experiments may consists of hard-to-change factors where it is physically very difficult to change levels of some factors or sometime such experiments may require normalization time to obtain adequate operating condition. For this reason, run orders that offer the minimum number of factor level changes and at the same time minimize the possible influence of systematic trend effects on the experimentation have been sought. Factorial designs with minimum changes in factors level may be preferred for such situations as these minimally changed run orders will minimize the cost of the experiments. For method details see, Bhowmik, A.,Varghese, E., Jaggi, S. and Varghese, C. (2017)<doi:10.1080/03610926.2016.1152490>.This package used to construct all possible minimally changed factorial run orders [...truncated...]
Imports: FMC
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-02 15:39:11 UTC; ICAR-CAFRI
Author: Arpan Bhowmik [aut, ctb], Bijoy Chanda [aut, cre, ctb], Seema Jaggi [aut], Eldho Varghese [aut, ctb], Cini Varghese [aut], Anindita Datta [aut]
Repository: CRAN
Date/Publication: 2024-11-05 08:10:02 UTC

More information about minFactorial at CRAN
Permanent link

New package tidywater with initial version 0.6.2
Package: tidywater
Title: Water Quality Models for Drinking Water Treatment Processes
Version: 0.6.2
URL: https://github.com/BrownandCaldwell-Public/tidywater
BugReports: https://github.com/BrownandCaldwell-Public/tidywater/issues
Description: Provides multiple water chemistry-based models and published empirical models in one standard format. Functions can be chained together to model a complete treatment process and are designed to work in a 'tidyverse' workflow. Models are primarily based on these sources: Benjamin, M. M. (2002, ISBN:147862308X), Crittenden, J. C., Trussell, R., Hand, D., Howe, J. K., & Tchobanoglous, G., Borchardt, J. H. (2012, ISBN:9781118131473), USEPA. (2001) <https://www.epa.gov/sites/default/files/2017-03/documents/wtp_model_v._2.0_manual_508.pdf>.
License: Apache License (>= 2) | MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, knitr, ggplot2, ggrepel, magrittr, purrr, furrr, methods, rlang
Depends: R (>= 2.10)
Suggests: rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Date: 2024-11-01
NeedsCompilation: no
Packaged: 2024-11-01 16:31:08 UTC; SJohnson2
Author: Sierra Johnson [aut, cre], Libby McKenna [aut], Riley Mulhern [aut] , Chris Corwin [aut] , Rachel Merrifield [ctb], Mayuri Namasivayam [ctb], USEPA [cph] ), Brown and Caldwell [fnd, cph]
Maintainer: Sierra Johnson <sjohnson2@brwncald.com>
Repository: CRAN
Date/Publication: 2024-11-05 07:50:02 UTC

More information about tidywater at CRAN
Permanent link

New package speedyBBT with initial version 1.0
Package: speedyBBT
Title: Efficient Bayesian Inference for the Bradley--Terry Model
Version: 1.0
Description: A suite of functions that allow a full, fast, and efficient Bayesian treatment of the Bradley--Terry model. Prior assumptions about the model parameters can be encoded through a multivariate normal prior distribution. Inference is performed using a latent variable representation of the model.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: base, BayesLogit, Matrix, stats, utils
Suggests: expm, testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-01 14:30:33 UTC; seymourg
Author: Rowland Seymour [aut, cre, cph]
Maintainer: Rowland Seymour <r.g.seymour@bham.ac.uk>
Repository: CRAN
Date/Publication: 2024-11-05 07:30:02 UTC

More information about speedyBBT at CRAN
Permanent link

New package plotthis with initial version 0.3.5
Package: plotthis
Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Version: 0.3.5
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/pwwang/plotthis https://pwwang.github.io/plotthis/
BugReports: https://github.com/pwwang/plotthis/issues
Depends: R (>= 4.0.0)
Imports: circlize, ggplot2, rlang, dplyr, tidyr, glue, forcats, gtable, reshape2, stringr, scales, gridtext, methods, patchwork, ggrepel, ggnewscale, cowplot, zoo
Suggests: ComplexHeatmap, clustree, gglogger, ggwordcloud, ggalluvial, ggVennDiagram (>= 1.5.0), ggupset, ggpubr, ggforce, ggraph, ggridges, hexbin, igraph, iNEXT, scattermore, concaveman
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-01 15:24:32 UTC; pwwang
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>
Repository: CRAN
Date/Publication: 2024-11-05 07:40:02 UTC

More information about plotthis at CRAN
Permanent link

New package mergedblocks with initial version 1.1.1
Package: mergedblocks
Title: Merged Block Randomization
Version: 1.1.1
Description: Package to carry out merged block randomization (Van der Pas (2019), <doi:10.1177/1740774519827957>), a restricted randomization method designed for small clinical trials (at most 100 subjects) or trials with small strata, for example in multicentre trials. It can be used for more than two groups or unequal randomization ratios.
Imports: randomizeR
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-01 12:54:59 UTC; stephanie
Author: Stephanie van der Pas [aut, cre]
Maintainer: Stephanie van der Pas <s.l.vanderpas@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2024-11-05 07:30:06 UTC

More information about mergedblocks at CRAN
Permanent link

New package ggsem with initial version 0.1.0
Package: ggsem
Title: Interactively Visualize Structural Equation Modeling Diagrams
Version: 0.1.0
Maintainer: Seung Hyun Min <seung.min@mail.mcgill.ca>
Description: It allows users to perform interactive and reproducible visualizations of path diagrams for structural equation modeling (SEM) and small-to-medium sized networks using the 'ggplot2' engine. Its 'shiny' app provides an interface that allows extensive customization, and creates CSV outputs, which can then be used to recreate the figures either using the 'shiny' app or in a typical 'ggplot2' workflow.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.4.0)
Imports: ggplot2, igraph, shiny, DT, colourpicker, grid, svglite, grDevices, stats, utils, lavaan
Suggests: semPlot
URL: https://smin95.github.io/ggsem/
BugReports: https://github.com/smin95/ggsem/issues/
NeedsCompilation: no
Packaged: 2024-11-01 05:11:51 UTC; sammi
Author: Seung Hyun Min [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-05 07:30:10 UTC

More information about ggsem at CRAN
Permanent link

Mon, 04 Nov 2024

New package sicure with initial version 0.1.0
Package: sicure
Title: Single-Index Mixture Cure Models
Version: 0.1.0
Description: Single-index mixture cure models allow estimating the probability of cure and the latency depending on a vector (or functional) covariate, avoiding the curse of dimensionality. The vector of parameters that defines the model can be estimated by maximum likelihood. A nonparametric estimator for the conditional density of the susceptible population is provided. For more details, see Piñeiro-Lamas (2024) (<https://ruc.udc.es/dspace/handle/2183/37035>).
License: GPL (>= 2)
Encoding: UTF-8
Imports: caTools, doBy, fda, npcure, StatMatch, stats
NeedsCompilation: no
Packaged: 2024-10-31 14:11:41 UTC; Bea
Author: Beatriz Pineiro-Lamas [aut, cre] , Ana Lopez-Cheda [aut], Ricardo Cao [aut]
Maintainer: Beatriz Pineiro-Lamas <b.pineiro.lamas@udc.es>
Repository: CRAN
Date/Publication: 2024-11-04 12:30:03 UTC

More information about sicure at CRAN
Permanent link

New package pk.unit.trans with initial version 0.1.0
Package: pk.unit.trans
Title: Achieve Numerical Conversion Between Units Commonly Used in Pharmacokinetics
Version: 0.1.0
Author: Fu Yongchao [aut, cre, cph]
Maintainer: Fu Yongchao <3212418315@qq.com>
Description: Achieve internal conversions of mass units, molar units, and volume units commonly used in pharmacokinetics, as well as conversions between mass units and molar units.
Imports: stringi(>= 1.8.4), maditr (>= 0.8.4)
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-31 18:43:03 UTC; admin
Repository: CRAN
Date/Publication: 2024-11-04 12:40:02 UTC

More information about pk.unit.trans at CRAN
Permanent link

New package ip2whois with initial version 1.0.0
Package: ip2whois
Title: Lookup 'WHOIS' Information for a Particular Domain
Version: 1.0.0
Maintainer: IP2WHOIS <support@ip2whois.com>
Description: Easily implement the checking of 'WHOIS' information for a particular domain. 'IP2WHOIS' supports the query for 1113 Top-level Domains(TLDs) and 634 Country Code Top-level Domains(ccTLDs). To get started with a free API key, you may sign up at here <https://www.ip2whois.com/register>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: reticulate (>= 1.13), jsonlite (>= 1.6)
SystemRequirements: IP2WHOIS Python library <https://github.com/ip2whois/ip2whois-python>
NeedsCompilation: no
Packaged: 2024-10-31 23:24:58 UTC; ooi18
Author: IP2WHOIS [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-04 12:40:06 UTC

More information about ip2whois at CRAN
Permanent link

New package ETRep with initial version 0.1.0
Package: ETRep
Title: Analysis of Elliptical Tubes Under the Relative Curvature Condition
Version: 0.1.0
Maintainer: Mohsen Taheri <MohsenTaheriShalmani@gmail.com>
Description: Analysis of elliptical tubes with applications in biological modeling. The package is based on the references: Taheri, M., Pizer, S. M., & Schulz, J. (2024) "The Mean Shape under the Relative Curvature Condition." arXiv <doi:10.48550/arXiv.2404.01043>. Mohsen Taheri Shalmani (2024) "Shape Statistics via Skeletal Structures", PhD Thesis, University of Stavanger, Norway <doi:10.13140/RG.2.2.34500.23685>. Key features include constructing discrete elliptical tubes, calculating transformations, validating structures under the Relative Curvature Condition, computing means, and generating simulations. Supports intrinsic and non-intrinsic mean calculations and transformations, size estimation, plotting, and random sample generation based on a reference tube.
License: MIT + file LICENSE
URL: https://github.com/MohsenTaheriShalmani/Elliptical_Tubes
Depends: R (>= 4.0.0)
Author: Mohsen Taheri [aut, cre]
Encoding: UTF-8
LazyData: true
Imports: rgl, shapes, Morpho, matlib, RiemBase, RSpincalc, rotations, SphericalCubature, Rvcg, fields, Matrix, pracma, truncnorm, ggplot2, reshape2, dplyr, ptinpoly
NeedsCompilation: no
Packaged: 2024-10-31 14:48:12 UTC; mohsentaheri
Repository: CRAN
Date/Publication: 2024-11-04 12:40:13 UTC

More information about ETRep at CRAN
Permanent link

New package dpkg with initial version 0.6.0
Package: dpkg
Title: Create, Stow, and Read Data Packages
Version: 0.6.0
Description: Data frame, tibble, or tbl objects are converted to data package objects using specific metadata labels (name, version, title, homepage, description). A data package object ('dpkg') can be written to disk as a 'parquet' file or released to a 'GitHub' repository. Data package objects can be read into R from online repositories and downloaded files are cached locally across R sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: dplyr, geoarrow, gert, gh, sf, testthat (>= 3.0.0), usethis, withr
URL: https://github.com/cole-brokamp/dpkg, https://cole-brokamp.github.io/dpkg/
BugReports: https://github.com/cole-brokamp/dpkg/issues
Imports: arrow, cli, fs, glue, httr2, rlang, tibble
NeedsCompilation: no
Packaged: 2024-10-31 21:35:51 UTC; cole
Author: Cole Brokamp [aut, cre, cph]
Maintainer: Cole Brokamp <cole@colebrokamp.com>
Repository: CRAN
Date/Publication: 2024-11-04 12:40:09 UTC

More information about dpkg at CRAN
Permanent link

New package NPFD with initial version 1.0.0
Package: NPFD
Title: N-Power Fourier Deconvolution
Version: 1.0.0
Description: Provides tools for non-parametric Fourier deconvolution using the N-Power Fourier Deconvolution (NPFD) method. This package includes methods for density estimation (densprf()) and sample generation (createSample()), enabling users to perform statistical analyses on mixed or replicated data sets.
Depends: R (>= 3.5.0)
Imports: siggenes, KernSmooth, splines, stats, graphics, VGAM
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-31 09:31:12 UTC; Akin
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>
Repository: CRAN
Date/Publication: 2024-11-04 11:10:04 UTC

More information about NPFD at CRAN
Permanent link

New package rnnmf with initial version 0.3.0
Package: rnnmf
Maintainer: Steven E. Pav <shabbychef@gmail.com>
Version: 0.3.0
Date: 2024-10-30
License: LGPL-3
Title: Regularized Non-Negative Matrix Factorization
BugReports: https://github.com/shabbychef/rnnmf/issues
Description: A proof of concept implementation of regularized non-negative matrix factorization optimization. A non-negative matrix factorization factors non-negative matrix Y approximately as L R, for non-negative matrices L and R of reduced rank. This package supports such factorizations with weighted objective and regularization penalties. Allowable regularization penalties include L1 and L2 penalties on L and R, as well as non-orthogonality penalties. This package provides multiplicative update algorithms, which are a modification of the algorithm of Lee and Seung (2001) <http://papers.nips.cc/paper/1861-algorithms-for-non-negative-matrix-factorization.pdf>, as well as an additive update derived from that multiplicative update. See also Pav (2004) <doi:10.48550/arXiv.2410.22698>.
Depends: R (>= 3.0.2)
Imports: Matrix
Suggests: testthat, dplyr, ggplot2, scales, viridis, knitr
URL: https://github.com/shabbychef/rnnmf
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-31 03:07:08 UTC; spav
Author: Steven E. Pav [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-04 10:40:02 UTC

More information about rnnmf at CRAN
Permanent link

New package mcmapper with initial version 0.0.11
Package: mcmapper
Title: Mapping First Moment and C-Statistic to the Parameters of Distributions for Risk
Version: 0.0.11
Description: Provides a series of numerical methods for extracting parameters of distributions for risks based on knowing the expected value and c-statistics (e.g., from a published report on the performance of a risk prediction model). This package implements the methodology described in Sadatsafavi et al (2024) <doi:10.48550/arXiv.2409.09178>. The core of the package is mcmap(), which takes a pair of (mean, c-statistic) and the distribution type requested. This function provides a generic interface to more customized functions (mcmap_beta(), mcmap_logitnorm(), mcmap_probitnorm()) for specific distributions.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-31 04:23:02 UTC; msafavi
Author: Mohsen Sadatsafavi [aut, cre]
Maintainer: Mohsen Sadatsafavi <mohsen.sadatsafavi@ubc.ca>
Repository: CRAN
Date/Publication: 2024-11-04 10:40:06 UTC

More information about mcmapper at CRAN
Permanent link

Sun, 03 Nov 2024

New package spconf with initial version 1.0.1
Package: spconf
Title: Computing Scales of Spatial Smoothing for Confounding Adjustment
Version: 1.0.1
Author: Kayleigh Keller [aut, cre], Maddie Rainey [aut]
Maintainer: Kayleigh Keller <kayleigh.keller@colostate.edu>
Description: Computes the effective range of a smoothing matrix, which is a measure of the distance to which smoothing occurs. This is motivated by the application of spatial splines for adjusting for unmeasured spatial confounding in regression models, but the calculation of effective range can be applied to smoothing matrices in other contexts. For algorithmic details, see Rainey and Keller (2024) "spconfShiny: an R Shiny application..." <doi:10.1371/journal.pone.0311440> and Keller and Szpiro (2020) "Selecting a Scale for Spatial Confounding Adjustment" <doi:10.1111/rssa.12556>.
Depends: R (>= 3.5)
Imports: flexclust, mgcv
Suggests: splines, testthat (>= 2.1.0)
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-29 21:14:36 UTC; keller
Repository: CRAN
Date/Publication: 2024-11-03 12:20:02 UTC

More information about spconf at CRAN
Permanent link

New package PODES with initial version 0.1.0
Package: PODES
Title: Village Potential Statistics of Indonesia
Version: 0.1.0
Author: Fadhlul Mubarak [aut, cre], Nurniswah [aut], Vinny Yuliani Sundara [aut], Belya Efrina [aut], Chrisella Anastasya Hutagalung [aut], Desta Tiurmaida Hutagaol [aut], Habibi Yansyah [aut], Laura Zararah Arjha [aut], Nur Fitri Patricia [aut], Fakhrur Raz [...truncated...]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Description: Village potential statistics (PODES) collects various information on village potential and challenges faced by villages in Indonesia. Information related to village potential includes economy, security, health, employment, communication and information, sports, entertainment, development, community empowerment, education, socio-culture, transportation in the village. Information related to challenges includes natural disasters, public health, environmental pollution, social problems and security disturbances that occur in the village.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: readxl
NeedsCompilation: no
Packaged: 2024-10-30 11:57:58 UTC; HP
Repository: CRAN
Date/Publication: 2024-11-03 12:50:07 UTC

More information about PODES at CRAN
Permanent link

New package handwriterRF with initial version 1.0.2
Package: handwriterRF
Title: Handwriting Analysis with Random Forests
Version: 1.0.2
Maintainer: Stephanie Reinders <reinders.stephanie@gmail.com>
Description: Perform forensic handwriting analysis of two scanned handwritten documents. This package implements the statistical method described by Madeline Johnson and Danica Ommen (2021) <doi:10.1002/sam.11566>. Similarity measures and a random forest produce a score-based likelihood ratio that quantifies the strength of the evidence in favor of the documents being written by the same writer or different writers.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: dplyr, handwriter, magrittr, purrr, ranger, reshape2, tidyr, tidyselect
URL: https://github.com/CSAFE-ISU/handwriterRF
BugReports: https://github.com/CSAFE-ISU/handwriterRF/issues
NeedsCompilation: no
Packaged: 2024-10-30 13:47:42 UTC; stephanie
Author: Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Stephanie Reinders [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-03 12:50:02 UTC

More information about handwriterRF at CRAN
Permanent link

New package ConfMatrix with initial version 0.1.0
Package: ConfMatrix
Title: Confusion Matrix
Version: 0.1.0
Maintainer: Silverio Vilchez-Lopez <svilchez@ujaen.es>
Description: Thematic quality indices are provided to facilitate the evaluation and quality control of geospatial data products (e.g. thematic maps, remote sensing classifications, etc.). The indices offered are based on the so-called confusion matrix. This matrix is constructed by comparing the assigned classes or attributes of a set of pairs of positions or objects in the product and the ground truth. In this package it is considered that the classes of the ground truth correspond to the columns and that the classes of the product to be valued correspond to the rows. The package offers two object classes with their methods: 'ConfMatrix' (Confusion matrix) and 'QCCS' (Quality Control Columns Set). The 'ConfMatrix' class of objects offers more than 20 methods based on the confusion matrix. The 'QCCS' class of objects offers a different perspective in which the ground truth is considered to allow the values of the column marginals to be fixed, see Ariza López et al. (2019) <doi:10.3390/app9204240 [...truncated...]
Imports: R6, Rdpack, ggplot2, gridExtra
License: GPL
Encoding: UTF-8
Suggests: knitr, rmarkdown, roxygen2, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-30 11:53:33 UTC; UJA
Author: Francisco Javier Ariza-Lopez [aut], Paola Barba-Ceballos [aut], Silverio Vilchez-Lopez [aut, cre], Jose Rodriguez-Avi [aut], Maria Virtudes Alba-Fernandez [aut], Jose Luis Garcia-Balboa [aut]
Repository: CRAN
Date/Publication: 2024-11-03 12:40:02 UTC

More information about ConfMatrix at CRAN
Permanent link

Fri, 01 Nov 2024

New package trtswitch with initial version 0.1.1
Package: trtswitch
Title: Treatment Switching
Version: 0.1.1
Date: 2024-10-31
Description: Implements rank-preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), and two-stage estimation (TSE) methods for treatment switching in randomized clinical trials.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.9)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), dplyr (>= 1.1.4), geepack (>= 1.3.12), ggplot2 (>= 3.3.6), knitr (>= 1.45), rmarkdown (>= 2.25)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Depends: R (>= 2.10)
LazyData: true
Packaged: 2024-11-01 02:51:20 UTC; kaife
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-02 00:30:05 UTC

More information about trtswitch at CRAN
Permanent link

New package surveydown with initial version 0.4.0
Package: surveydown
Title: Markdown-Based Surveys Using 'Quarto' and 'shiny'
Version: 0.4.0
Description: Generate surveys using markdown and R code chunks. Surveys are composed of two files: a survey.qmd 'Quarto' file defining the survey content (pages, questions, etc), and an app.R file defining a 'shiny' app with global settings (libraries, database configuration, etc.) and server configuration options (e.g., conditional skipping / display, etc.). Survey data collected from respondents is stored in a 'PostgreSQL' database. Features include controls for conditional skip logic (skip to a page based on an answer to a question), conditional display logic (display a question based on an answer to a question), a customizable progress bar, and a wide variety of question types, including multiple choice (single choice and multiple choices), select, text, numeric, multiple choice buttons, text area, and dates.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
Suggests: knitr, testthat, glue
Imports: DBI, DT, htmltools, markdown, pool, quarto, RPostgres, rstudioapi, rvest, shiny, shinyjs, shinyWidgets, usethis, utils, xml2
URL: https://pkg.surveydown.org
BugReports: https://github.com/surveydown-dev/surveydown/issues
NeedsCompilation: no
Packaged: 2024-10-29 15:25:48 UTC; jhelvy
Author: John Paul Helveston [aut, cre, cph] , Pingfan Hu [aut, cph] , Bogdan Bunea [aut, cph]
Maintainer: John Paul Helveston <john.helveston@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-01 14:30:02 UTC

More information about surveydown at CRAN
Permanent link

New package StabilityApp with initial version 0.1.0
Package: StabilityApp
Title: Stability Analysis App for GEI in Multi-Environment Trials
Version: 0.1.0
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Provides tools for Genotype by Environment Interaction (GEI) analysis, using statistical models and visualizations to assess genotype performance across environments. It helps researchers explore interaction effects, stability, and adaptability in multi-environment trials, identifying the best-performing genotypes in different conditions. Which Win Where!
Depends: R (>= 4.1)
Imports: dplyr, DT, gridExtra, patchwork, stability, shiny, shinyBS, shinydashboardPlus
Suggests: shinytest2, testthat (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
Note: School of Mathematical & Statistical Sciences, Clemson University, Clemson, South Carolina, USA
NeedsCompilation: no
Packaged: 2024-10-29 11:04:29 UTC; myaseen208
Author: Muhammad Yaseen [aut, cre, cph] , Kent M. Eskridge [aut, ctb]
Repository: CRAN
Date/Publication: 2024-11-01 14:30:19 UTC

More information about StabilityApp at CRAN
Permanent link

New package srppp with initial version 1.0.1
Package: srppp
Title: Read the Swiss Register of Plant Protection Products
Version: 1.0.1
Date: 2024-10-29
Description: Generate data objects from XML versions of the Swiss Register of Plant Protection Products. An online version of the register can be accessed at <https://www.psm.admin.ch/de/produkte>. There is no guarantee of correspondence of the data read in using this package with that online version, or with the original registration documents. Also, the Federal Food Safety and Veterinary Office, coordinating the authorisation of plant protection products in Switzerland, does not answer requests regarding this package.
Depends: R (>= 4.1.0), dm
Imports: xml2, tibble, stringr, dplyr, tidyr, cli
Suggests: knitr, rmarkdown, here, DiagrammeR, DiagrammeRsvg, testthat (>= 3.0.0), parallel, waldo
BugReports: https://github.com/agroscope-ch/srppp/issues
URL: https://agroscope-ch.github.io/srppp/
License: GPL (>= 3)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2024-10-29 15:59:16 UTC; f80868656
Author: Daniel Baumgartner [ctb] , Marcel Mathis [rev, ctb], Romualdus Kasteel [rev] , Elisabeth Lutz [ctb], Johannes Ranke [aut, cre] , Agroscope [cph]
Maintainer: Johannes Ranke <johannes.ranke@agroscope.admin.ch>
Repository: CRAN
Date/Publication: 2024-11-01 14:40:02 UTC

More information about srppp at CRAN
Permanent link

New package SensIAT with initial version 0.1.0
Package: SensIAT
Title: Sensitivity Analysis for Irregular Assessment Times
Version: 0.1.0
Description: Sensitivity analysis for trials with irregular and informative assessment times, based on a new influence function-based, augmented inverse intensity-weighted estimator.
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, dplyr, glue, KernSmooth, MASS, methods, orthogonalsplinebasis, pracma, purrr, Rcpp (>= 1.0.12), rlang, splines, stats, survival, tibble, tidyr, utils
Suggests: dfoptim, inline, progress, spelling, testthat (>= 3.0.0)
Depends: R (>= 4.4.0)
LazyData: true
LinkingTo: Rcpp
SystemRequirements: C++17
URL: https://github.com/UofUEpiBio/SensIAT
BugReports: https://github.com/UofUEpiBio/SensIAT/issues
NeedsCompilation: yes
Packaged: 2024-10-29 18:04:29 UTC; u0092104
Author: Andrew Redd [aut, cre] , Yujing Gao [aut], Shu Yang [aut], Bonnie Smith [aut], Agatha Mallett [ctb, ctr], Daniel Scharfstein [pdr, aut] , University of Utah [cph]
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2024-11-01 14:50:05 UTC

More information about SensIAT at CRAN
Permanent link

New package rcollectadhd with initial version 0.8
Package: rcollectadhd
Title: Collection of Data Sets Containing ADHD Related Data
Version: 0.8
Description: A collection of data sets relating to ADHD (Attention Deficit Hyperactivity Disorder) which have been sourced from other packages on CRAN or from publications on other websites such as Kaggle <http://www.kaggle.com/>.The package also includes some simple functions for analysing data sets. The data sets and descriptions of the data sets may differ from what is on CRAN or other source websites. The aim of this package is to bring together data sets from a variety of ADHD research publications. This package would be useful for those interested in finding out what research has been done on the topic of ADHD, or those interested in comparing the results from different existing works. I started this project because I wanted to put together a collection of the data sets relevant to ADHD research, which I have a personal interest in. This work was conducted with the support of my mentor within the Global Talent Mentoring platform. <https://globaltalentmentoring.org/>.
Depends: R (>= 4.0.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-29 18:37:04 UTC; johnm
Author: John Nolan [aut, cre]
Maintainer: John Nolan <john.mccabe.nolan@outlook.com>
Repository: CRAN
Date/Publication: 2024-11-01 14:50:02 UTC

More information about rcollectadhd at CRAN
Permanent link

New package poth with initial version 0.2-0
Package: poth
Title: Precision of Treatment Hierarchy (POTH)
Version: 0.2-0
Date: 2024-10-11
Depends: R (>= 3.5.0)
Imports: ggplot2, stringr, netmeta
Suggests: mvtnorm
Author: Augustine Wigle [aut, cre, cph] , Guido Schwarzer [aut]
Maintainer: Augustine Wigle <amhwigle@uwaterloo.ca>
Description: Calculate POTH for treatment hierarchies from frequentist and Bayesian network meta-analysis. POTH quantifies the certainty in a treatment hierarchy. Subset POTH, POTH residuals, and cumulative POTH can also be calculated to improve interpretation of treatment hierarchies.
URL: https://github.com/augustinewigle/poth
BugReports: https://github.com/augustinewigle/poth/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-29 17:26:38 UTC; augus
Repository: CRAN
Date/Publication: 2024-11-01 14:40:06 UTC

More information about poth at CRAN
Permanent link

New package OPSR with initial version 0.1.2
Package: OPSR
Title: Ordinal Probit Switching Regression
Version: 0.1.2
Description: Estimates ordinal probit switching regression models - a Heckman type selection model with an ordinal selection and continuous outcomes. Different model specifications are allowed for each treatment/regime. For more details on the method, see Wang & Mokhtarian (2024) <doi:10.1016/j.tra.2024.104072> or Chiburis & Lokshin (2007) <doi:10.1177/1536867X0700700202>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: car, Formula, MASS, maxLik, methods, mvtnorm, Rcpp, Rdpack (>= 0.7), sandwich, stats, texreg, utils
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0)
LazyData: true
Suggests: testthat (>= 3.0.0)
URL: https://github.com/dheimgartner/OPSR
BugReports: https://github.com/dheimgartner/OPSR/issues
NeedsCompilation: yes
Packaged: 2024-10-29 13:43:33 UTC; daniel
Author: Daniel Heimgartner [aut, cre, cph] , Xinyi Wang [aut]
Maintainer: Daniel Heimgartner <d.heimgartners@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-01 14:30:23 UTC

More information about OPSR at CRAN
Permanent link

New package legendry with initial version 0.1.0
Package: legendry
Title: Extended Legends and Axes for 'ggplot2'
Version: 0.1.0
Description: A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides. Guides in 'ggplot2' include axes and legends. 'legendry' offers new axes and annotation options, as well as new legends and colour displays.
License: MIT + file LICENSE
URL: https://teunbrand.github.io/legendry/, https://github.com/teunbrand/legendry
BugReports: https://github.com/teunbrand/legendry/issues
Depends: ggplot2 (>= 3.5.0), R (>= 4.1.0)
Imports: cli, grid (>= 4.1.0), gtable, lifecycle, rlang (>= 1.1.0), scales (>= 1.1.1), vctrs (>= 0.6.0)
Suggests: knitr, ragg, rmarkdown, svglite, systemfonts, testthat (>= 3.0.0), vdiffr, withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-29 11:30:02 UTC; Teun
Author: Teun van den Brand [aut, cre, cph]
Maintainer: Teun van den Brand <tahvdbrand@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-01 14:30:06 UTC

More information about legendry at CRAN
Permanent link

New package gofIG with initial version 1.0
Package: gofIG
Title: Goodness-of-Fit Tests for the Inverse Gaussian Distribution
Version: 1.0
Author: Bruno Ebner [aut, cre], Jaco Visagie [aut], Steffen Betsch [aut], James Allison [aut], Lucas Iglesias [ctb]
Maintainer: Bruno Ebner <bruno.ebner@kit.edu>
Description: We implement various tests for the composite hypothesis of testing the fit to the family of inverse Gaussian distributions. Included are methods presented by Allison, J.S., Betsch, S., Ebner, B., and Visagie, I.J.H. (2022) <doi:10.48550/arXiv.1910.14119>, as well as two tests from Henze and Klar (2002) <doi:10.1023/A:1022442506681>. Additionally, the package implements a test proposed by Baringhaus and Gaigall (2015) <doi:10.1016/j.jmva.2015.05.013>. For each test a parametric bootstrap procedure is implemented.
License: CC BY 4.0
Depends: R (>= 3.5.0)
Imports: pracma, rmutil,
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-29 07:57:37 UTC; lucas
Repository: CRAN
Date/Publication: 2024-11-01 14:30:12 UTC

More information about gofIG at CRAN
Permanent link

New package favawesome with initial version 0.1.1
Package: favawesome
Title: 'Font Awesome' Icons as 'shiny' 'favicons'
Version: 0.1.1
Description: Easily use 'Font Awesome' icons as 'shiny' 'favicons' (the icons that appear on browser tabs). 'Font Awesome' (<https://fontawesome.com/>) is a popular set of icons that can be used in web pages. 'favawesome' provides a simple way to use these icons as 'favicons' in 'shiny' applications and other HTML pages.
License: MIT + file LICENSE
URL: https://favawesome.shinyworks.org, https://github.com/shinyworks/favawesome
BugReports: https://github.com/shinyworks/favawesome/issues
Imports: fontawesome, htmltools, jsonlite, rlang, rsvg
Suggests: cli, testthat (>= 3.0.0), usethis
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-29 13:15:25 UTC; jonth
Author: Jon Harmon [aut, cre, cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-01 14:30:15 UTC

More information about favawesome at CRAN
Permanent link

Thu, 31 Oct 2024

New package CADF with initial version 0.1
Encoding: UTF-8
Package: CADF
Title: Customer Analytics Data Formatting
Version: 0.1
Description: Converts customer transaction data (ID, purchase date) into a R6 class called customer. The class stores various customer analytics calculations at the customer level. The package also contains functionality to convert data in the R6 class to data.frames that can serve as inputs for various customer analytics models.
License: GPL-3
LazyData: true
LazyDataCompression: xz
Imports: R6
Suggests: knitr, rmarkdown, lubridate, markovchain, utils, survival
VignetteBuilder: knitr
Maintainer: Ludwig Steven <steven.ludwig@u.northwestern.edu>
NeedsCompilation: no
Packaged: 2024-10-28 23:36:43 UTC; steve
Author: Ludwig Steven [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-10-31 14:10:02 UTC

More information about CADF at CRAN
Permanent link

New package vchartr with initial version 0.1.3
Package: vchartr
Title: Interactive Charts with the 'JavaScript' 'VChart' Library
Version: 0.1.3
Description: Provides an 'htmlwidgets' interface to 'VChart.js'. 'VChart', more than just a cross-platform charting library, but also an expressive data storyteller. 'VChart' examples and documentation are available here: <https://www.visactor.io/vchart>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, htmlwidgets, magrittr, rlang, scales
Suggests: bslib, knitr, geojsonio, palmerpenguins, rmarkdown, sf, shiny
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
URL: https://dreamrs.github.io/vchartr/
NeedsCompilation: no
Packaged: 2024-10-28 08:43:45 UTC; perri
Author: Victor Perrier [aut, cre], Fanny Meyer [aut]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>
Repository: CRAN
Date/Publication: 2024-10-31 13:20:04 UTC

More information about vchartr at CRAN
Permanent link

New package SudokuDesigns with initial version 1.0.0
Package: SudokuDesigns
Title: Sudoku as an Experimental Design
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: Sudoku designs (Bailey et al., 2008<doi:10.1080/00029890.2008.11920542>) can be used as experimental designs which tackle one extra source of variation than conventional Latin square designs. Although Sudoku designs are similar to Latin square designs, only addition is the region concept. Some very important functions related to row-column designs as well as block designs along with basic functions are included in this package.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-28 14:24:43 UTC; Ashutosh
Author: Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]
Repository: CRAN
Date/Publication: 2024-10-31 13:40:25 UTC

More information about SudokuDesigns at CRAN
Permanent link

New package mapindiatools with initial version 1.0.1
Package: mapindiatools
Title: Mapping Data for 'mapindia' Package
Version: 1.0.1
Maintainer: Shubham Dutta <shubhamdutta26@gmail.com>
Description: Provides a container for data used by the 'mapindia' package. The data used by 'mapindia' has been extracted into this package so that the file size of the 'mapindia' package can be reduced considerably. The data in this package will be updated when latest data is available.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, readr, rlang, sf, stringr, tidyr
Suggests: spelling, testthat (>= 3.0.0)
Depends: R (>= 2.10)
URL: https://github.com/shubhamdutta26/mapindiatools
BugReports: https://github.com/shubhamdutta26/mapindiatools/issues
Language: en-US
NeedsCompilation: no
Packaged: 2024-10-28 16:24:03 UTC; shubham
Author: Shubham Dutta [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-10-31 13:40:05 UTC

More information about mapindiatools at CRAN
Permanent link

New package Largevars with initial version 1.0.2
Package: Largevars
Title: Testing Large VARs for the Presence of Cointegration
Version: 1.0.2
Maintainer: Eszter Kiss <ekiss2803@gmail.com>
Description: Conducts a cointegration test for high-dimensional vector autoregressions (VARs) of order k based on the large N,T asymptotics of Bykhovskaya and Gorin, 2022 (<doi:10.48550/arXiv.2202.07150>). The implemented test is a modification of the Johansen likelihood ratio test. In the absence of cointegration the test converges to the partial sum of the Airy-1 point process. This package contains simulated quantiles of the first ten partial sums of the Airy-1 point process that are precise up to the first three digits.
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: methods, graphics, stats, utils
Suggests: testthat (>= 3.0.0), tibble (>= 3.0.0), data.table (>= 1.14.0), readr (>= 2.1.0)
License: MIT + file LICENSE
URL: https://github.com/eszter-kiss/Largevars
NeedsCompilation: no
Packaged: 2024-10-28 16:09:33 UTC; eszterkiss
Author: Anna Bykhovskaya [aut], Vadim Gorin [aut], Eszter Kiss [cre, aut]
Repository: CRAN
Date/Publication: 2024-10-31 13:40:41 UTC

More information about Largevars at CRAN
Permanent link

New package ip2locationio with initial version 1.0.0
Package: ip2locationio
Title: Lookup Geolocation and Proxy Information using 'IP2Location.io' API
Version: 1.0.0
Maintainer: IP2Location.io <support@ip2location.io>
Description: Query for enriched data such as country, region, city, latitude & longitude, ZIP code, time zone, Autonomous System, Internet Service Provider, domain, net speed, International direct dialing (IDD) code, area code, weather station data, mobile data, elevation, usage type, address type, advertisement category, and proxy data with an IP address. This package uses the 'IP2Location.io' API to query this data. To get started with a free API key, sign up here <https://www.ip2location.io/sign-up?ref=1>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: reticulate (>= 1.13), jsonlite (>= 1.6)
SystemRequirements: IP2Location.io Python library <https://github.com/ip2location/ip2location-io-python>
NeedsCompilation: no
Packaged: 2024-10-28 23:33:58 UTC; ooi18
Author: IP2Location.io [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-31 14:00:02 UTC

More information about ip2locationio at CRAN
Permanent link

New package dsTidyverseClient with initial version 1.0.0
Package: dsTidyverseClient
Title: 'DataSHIELD' 'Tidyverse' Clientside Package
Version: 1.0.0
Maintainer: Tim Cadman <t.j.cadman@umcg.nl>
Description: Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, 'DataSHIELD' contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. This is the clientside package which should be installed locally, and is used in conjuncture with the serverside package 'dsTidyverse' which is installed on the remote server holding the data. For more information, see <https://www.tidyverse.org/>, <https://datashield.org/> and <https://github.com/molgenis/ds-tidyverse>.
License: LGPL (>= 2.1)
Encoding: UTF-8
Imports: DSI (>= 1.7.0), cli, rlang, assertthat
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, DSLite, dsBase, dsBaseClient, dsTidyverse, dplyr
Additional_repositories: https://cran.obiba.org/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-28 08:28:00 UTC; tcadman
Author: Tim Cadman [aut, cre] , Mariska Slofstra [aut] , Stuart Wheater [aut], Demetris Avraam [aut]
Repository: CRAN
Date/Publication: 2024-10-31 13:20:28 UTC

More information about dsTidyverseClient at CRAN
Permanent link

New package dawaR with initial version 0.2.3
Package: dawaR
Title: An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Date: 2024-10-28
Version: 0.2.3
Description: Functions for interacting with all sections of the official 'Danish Address Web API' (also known as 'DAWA') <https://api.dataforsyningen.dk>. The development of this package is completely independent from the government agency, Klimadatastyrelsen, who maintains the API.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://dawar.aleksanderbl.dk/, https://github.com/aleksanderbl29/dawaR
BugReports: https://github.com/aleksanderbl29/dawaR/issues
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0), cowplot (>= 1.1.0), rmapshaper (>= 0.5.0), microbenchmark (>= 1.5.0), dplyr
Depends: R (>= 3.5.0)
Imports: memoise (>= 2.0.0), cli, httr2, sf, tidyRSS, rlang
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-28 12:44:28 UTC; aleksanderbang-larsen
Author: Aleksander Bang-Larsen [aut, cre, cph]
Maintainer: Aleksander Bang-Larsen <contact@aleksanderbl.dk>
Repository: CRAN
Date/Publication: 2024-10-31 13:30:04 UTC

More information about dawaR at CRAN
Permanent link

New package BSTZINB with initial version 1.0.0
Package: BSTZINB
Title: Association Among Disease Counts and Socio-Environmental Factors
Version: 1.0.0
Description: Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: BayesLogit, boot, coda, dplyr, ggplot2, gt, gtsummary, maps, matrixcalc, MCMCpack, msm, reshape, spam, viridis
Suggests: knitr, rmarkdown, CorrMixed, ape, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/SumanM47/BSTZINB
BugReports: https://github.com/SumanM47/BSTZINB/issues
NeedsCompilation: no
Packaged: 2024-10-28 18:28:25 UTC; sm8qr
Author: Suman Majumder [cre, aut, cph], Yoon-Bae Jun [aut, cph]
Maintainer: Suman Majumder <smajumd2@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-31 14:00:05 UTC

More information about BSTZINB at CRAN
Permanent link

Tue, 29 Oct 2024

New package PublicWorksFinanceIT with initial version 0.3.0
Package: PublicWorksFinanceIT
Title: Soil Defense Investments in Italy: Data Retrieval, Analysis, Visualization
Version: 0.3.0
Description: Facilitates the retrieval and analysis of financial data related to public works in Italy, focusing on soil defense investments. It extracts data from 'OpenCoesione', 'OpenBDAP', and the 'ReNDiS' database, eliminating the need for direct access to these platforms. The package boasts a user-friendly design, featuring real time updates and a set of functions tailored for data retrieval and visualization. See the webpages for further information <http://www.rendis.isprambiente.it/rendisweb/>, <https://opencoesione.gov.it/en/>, and <https://bdap-opendata.rgs.mef.gov.it/>.
Encoding: UTF-8
Language: EN
LazyData: true
LazyDataCompression: xz
Imports: magrittr, dplyr, ggplot2, httr,leaflet,lubridate, rlang, rvest, scales, sf, tibble, tidyr, plotly, spdep, knitr
License: GPL (>= 3)
Author: Lorena Ricciotti [aut, cre] , Alessio Pollice [ths]
Maintainer: Lorena Ricciotti <lorena.ricciotti@uniba.it>
NeedsCompilation: no
Packaged: 2024-10-28 11:05:00 UTC; lori1
Repository: CRAN
Date/Publication: 2024-10-29 23:10:10 UTC

More information about PublicWorksFinanceIT at CRAN
Permanent link

Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.