Mon, 18 Mar 2024

New package immunarch with initial version 0.9.1
Package: immunarch
Title: Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires
Version: 0.9.1
Contact: support@immunomind.io
Description: A comprehensive framework for bioinformatics exploratory analysis of bulk and single-cell T-cell receptor and antibody repertoires. It provides seamless data loading, analysis and visualisation for AIRR (Adaptive Immune Receptor Repertoire) data, both bulk immunosequencing (RepSeq) and single-cell sequencing (scRNAseq). Immunarch implements most of the widely used AIRR analysis methods, such as: clonality analysis, estimation of repertoire similarities in distribution of clonotypes and gene segments, repertoire diversity analysis, annotation of clonotypes using external immune receptor databases and clonotype tracking in vaccination and cancer studies. A successor to our previously published 'tcR' immunoinformatics package (Nazarov 2015) <doi:10.1186/s12859-015-0613-1>.
License: Apache License (== 2.0)
URL: https://immunarch.com/, https://github.com/immunomind/immunarch
BugReports: https://github.com/immunomind/immunarch/issues
Imports: factoextra (>= 1.0.4), fpc, UpSetR (>= 1.4.0), pheatmap (>= 1.0.12), ggrepel (>= 0.8.0), reshape2 (>= 1.4.2), circlize, MASS (>= 7.3), Rtsne (>= 0.15), readxl (>= 1.3.1), shiny (>= 1.4.0), shinythemes, airr, ggseqlogo, ggalluvial (>= 0.10.0), Rcpp (>= 1.0), magrittr, methods, scales, ggpubr (>= 0.2), rlang (>= 0.4), plyr, purrr, stringdist, jsonlite, readr, stringr, tibble, tidyselect, tidyr, igraph, ape, doParallel, rlist, utils, glue, phangorn, uuid, stringi, ggraph
Depends: R (>= 4.0.0), ggplot2 (>= 3.1.0), dplyr (>= 0.8.0), dtplyr (>= 1.0.0), data.table (>= 1.12.6), patchwork
LinkingTo: Rcpp
Suggests: knitr (>= 1.8), roxygen2 (>= 3.0.0), testthat (>= 2.1.0), pkgdown (>= 0.1.0), assertthat, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2024-03-18 18:22:17 UTC; vdn
Author: Vadim I. Nazarov [aut, cre], Vasily O. Tsvetkov [aut], Siarhei Fiadziushchanka [aut], Eugene Rumynskiy [aut], Aleksandr A. Popov [aut], Ivan Balashov [aut], Maria Samokhina [aut], Anna Lorenc [ctb], Daniel J. Moore [ctb], Victor Greiff [ctb], ImmunoM [...truncated...]
Maintainer: Vadim I. Nazarov <support@immunomind.io>
Repository: CRAN
Date/Publication: 2024-03-18 19:10:06 UTC

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New package sgapi with initial version 1.0.0
Package: sgapi
Title: Aid Querying 'nomis' and 'Office for National Statistics Open Geography' APIs
Version: 1.0.0
Description: Facilitates extraction of geospatial data from the 'Office for National Statistics Open Geography' and 'nomis' Application Programming Interfaces (APIs). Simplifies process of querying 'nomis' datasets <https://www.nomisweb.co.uk/> and extracting desired datasets in dataframe format. Extracts area shapefiles at chosen resolution from 'Office for National Statistics Open Geography' <https://geoportal.statistics.gov.uk/>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://defra-data-science-centre-of-excellence.github.io/sgapi/, https://github.com/Defra-Data-Science-Centre-of-Excellence/sgapi
BugReports: https://github.com/Defra-Data-Science-Centre-of-Excellence/sgApi/issues
Imports: magrittr, sf, dplyr, httr, readr, xml2, methods
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.6)
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-18 10:30:00 UTC; andrewchristy
Author: Andrew Christy [aut, cre], James Macpherson [aut], Hadyn Jenkins [aut], Crown Copyright [cph]
Maintainer: Andrew Christy <OR_Hub@defra.gov.uk>
Repository: CRAN
Date/Publication: 2024-03-18 18:10:02 UTC

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New package QTE.RD with initial version 1.0.0
Package: QTE.RD
Title: Quantile Treatment Effects under the Regression Discontinuity Design
Version: 1.0.0
Author: Zhongjun Qu [aut, cph], Jungmo Yoon [aut, cre, cph]
Maintainer: Jungmo Yoon <jmyoon@hanyang.ac.kr>
Description: Provides comprehensive methods for testing, estimating, and conducting uniform inference on quantile treatment effects (QTEs) in sharp regression discontinuity (RD) designs, incorporating covariates and implementing robust bias correction methods of Qu, Yoon, Perron (2024) <doi:10.1162/rest_a_01168>.
Encoding: UTF-8
Imports: quantreg, plotrix, stats
License: GPL (>= 3)
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2024-03-18 10:27:49 UTC; jyoon
Repository: CRAN
Date/Publication: 2024-03-18 18:10:05 UTC

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New package tf with initial version 0.3.2
Package: tf
Title: S3 Classes and Methods for Tidy Functional Data
Version: 0.3.2
Description: Defines S3 vector data types for vectors of functional data (grid-based, spline-based or functional principal components-based) with all arithmetic and summary methods, derivation, integration and smoothing, plotting, data import and export, and data wrangling, such as re-evaluating, subsetting, sub-assigning, zooming into sub-domains, or extracting functional features like minima/maxima and their locations. The implementation allows including such vectors in data frames for joint analysis of functional and scalar variables.
License: AGPL (>= 3)
URL: https://tidyfun.github.io/tf/, https://github.com/tidyfun/tf/
BugReports: https://github.com/tidyfun/tf/issues
Depends: R (>= 4.1)
Imports: checkmate, methods, mgcv, mvtnorm, pracma, purrr, rlang, stats, vctrs (>= 0.2.4), zoo
Suggests: covr, dplyr, knitr, refund, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-15 13:18:58 UTC; fabians
Author: Fabian Scheipl [aut, cre] , Jeff Goldsmith [aut], Julia Wrobel [ctb] , Maximilian Muecke [ctb] , Sebastian Fischer [ctb] , Trevor Hastie [ctb] , Rahul Mazumder [ctb] , Chen Meng [ctb]
Maintainer: Fabian Scheipl <fabian.scheipl@googlemail.com>
Repository: CRAN
Date/Publication: 2024-03-18 17:30:02 UTC

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New package cepumd with initial version 2.1.0
Package: cepumd
Title: Calculate Consumer Expenditure Survey (CE) Annual Estimates
Version: 2.1.0
Description: Provides functions and data files to help CE Public-Use Microdata (PUMD) users calculate annual estimated expenditure means, standard errors, and quantiles according to the methods used by the CE with PUMD. For more information on the CE please visit <https://www.bls.gov/cex>. For further reading on CE estimate calculations please see the CE Calculation section of the U.S. Bureau of Labor Statistics (BLS) Handbook of Methods at <https://www.bls.gov/opub/hom/cex/calculation.htm>. For further information about CE PUMD please visit <https://www.bls.gov/cex/pumd.htm>.
License: GPL (>= 3)
URL: https://arcenis-r.github.io/cepumd/, https://github.com/arcenis-r/cepumd
BugReports: https://github.com/arcenis-r/cepumd/issues
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.0.0), janitor, purrr, readr, readxl, rlang, stringr, tidyr, tidyselect (>= 1.2.0), utils
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-03-17 14:55:20 UTC; arcen
Author: Arcenis Rojas [aut, cre, cph]
Maintainer: Arcenis Rojas <arcenis.rojas@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-18 17:50:02 UTC

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New package cardx with initial version 0.1.0
Package: cardx
Title: Extra Analysis Results Data Utilities
Version: 0.1.0
Description: Create extra Analysis Results Data (ARD) summary objects. The package supplements the simple ARD functions from the 'cards' package, exporting functions to put statistical results in the ARD format. These objects are used and re-used to construct summary tables, visualizations, and written reports.
License: Apache License 2.0
URL: https://github.com/insightsengineering/cardx
BugReports: https://github.com/insightsengineering/cardx/issues
Depends: R (>= 4.1)
Imports: cards (>= 0.1.0), cli (>= 3.6.1), dplyr (>= 1.1.2), glue (>= 1.6.2), rlang (>= 1.1.1), tidyr (>= 1.3.0)
Suggests: broom (>= 1.0.5), broom.helpers (>= 1.13.0), spelling, testthat (>= 3.2.0), withr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-03-15 17:35:50 UTC; sjobergd
Author: Daniel Sjoberg [aut, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel Sjoberg <danield.sjoberg@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-18 14:30:02 UTC

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Sun, 17 Mar 2024

New package zstdlite with initial version 0.2.7
Package: zstdlite
Title: Fast Compression and Serialization with 'Zstandard' Algorithm
Version: 0.2.7
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Fast, compressed serialization of R objects using the 'Zstandard' algorithm. R objects can be compressed and decompressed quickly using the standard serialization mechanism in R. Raw byte vectors and strings are also handled directly for compatibility with compressed data created by other systems and programs supporting 'Zstandard' compression. Dictionaries are supported for more effective compression of small data, and functions are provided for training these dictionaries. This implementation provides an R interface to advanced features of the 'Zstandard' 'C' library (available from <https://github.com/facebook/zstd>).
URL: https://github.com/coolbutuseless/zstdlite
BugReports: https://github.com/coolbutuseless/zstdlite/issues
License: MIT + file LICENSE
Encoding: UTF-8
Copyright: This package includes code from the 'Zstandard' library owned by Meta Platforms, Inc. and affiliates. and created by Yann Collet. See file 'inst/COPYRIGHTS' for details.
Suggests: knitr, rmarkdown, testthat, bench
Depends: R (>= 3.4.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-14 08:14:36 UTC; mike
Author: Mike Cheng [aut, cre, cph], Yann Collet [aut] , Meta Platforms, Inc. and affiliates. [cph]
Repository: CRAN
Date/Publication: 2024-03-17 09:10:02 UTC

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New package tsdistributions with initial version 1.0.0
Package: tsdistributions
Title: Location Scale Standardized Distributions
Version: 1.0.0
Maintainer: Alexios Galanos <alexios@4dscape.com>
Depends: R (>= 3.5.0), methods, tsmethods
LinkingTo: TMB, RcppEigen
Imports: TMB (>= 1.7.20), GeneralizedHyperbolic, SkewHyperbolic, stats, utils, data.table, zoo, Rsolnp, sandwich, future.apply, future, progressr
Description: Location-Scale based distributions parameterized in terms of mean, standard deviation, skew and shape parameters and estimation using automatic differentiation. Distributions include the Normal, Student and GED as well as their skewed variants ('Fernandez and Steel'), the 'Johnson SU', and the Generalized Hyperbolic.
License: GPL-2
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://www.nopredict.com/packages/tsdistributions, https://github.com/tsmodels/tsdistributions
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-03-14 17:36:20 UTC; alexios
Author: Alexios Galanos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-03-17 09:10:05 UTC

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New package confcons with initial version 0.3.1
Package: confcons
Title: Confidence and Consistency of Predictive Distribution Models
Version: 0.3.1
Date: 2024-03-12
Description: Calculate confidence and consistency that measure the goodness-of-fit and transferability of predictive/potential distribution models (including species distribution models) as described by Somodi & Bede-Fazekas et al. (2024) <doi:10.1016/j.ecolmodel.2024.110667>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/bfakos/confcons, https://bfakos.github.io/confcons/
BugReports: https://github.com/bfakos/confcons/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mockery, vctrs, withr, ROCR, covr, terra, sf, blockCV (>= 3.1-3), ggplot2, ranger
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-15 16:37:26 UTC; Ákos
Author: Akos Bede-Fazekas [aut, cre] , Imelda Somodi [aut] , Zoltan Botta-Dukat [ctb]
Maintainer: Akos Bede-Fazekas <bfakos@ecolres.hu>
Repository: CRAN
Date/Publication: 2024-03-17 09:40:02 UTC

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New package blscrapeR with initial version 4.0.1
Package: blscrapeR
Title: An API Wrapper for the United States Bureau of Labor Statistics
Version: 4.0.1
Description: Scrapes various data from <https://www.bls.gov/>. The Bureau of Labor Statistics is the statistical branch of the United States Department of Labor. The package has additional functions to help parse, analyze and visualize the data.
Depends: R (>= 3.5.0)
Imports: httr, jsonlite, magrittr, utils, stats, dplyr, purrr, tibble, stringr
Suggests: testthat, knitr, rmarkdown
License: MIT + file LICENSE
URL: https://github.com/keberwein/blscrapeR
BugReports: https://github.com/keberwein/blscrapeR/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-14 22:53:33 UTC; anon
Author: Kris Eberwein [aut, cre]
Maintainer: Kris Eberwein <kris.eberwein@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-17 09:20:02 UTC

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Sat, 16 Mar 2024

New package mosaicCalc with initial version 0.6.1
Package: mosaicCalc
Title: R-Language Based Calculus Operations for Teaching
Description: Software to support the introductory *MOSAIC Calculus* textbook <https://www.mosaic-web.org/MOSAIC-Calculus/>), one of many data- and modeling-oriented educational resources developed by Project MOSAIC (<https://www.mosaic-web.org/>). Provides symbolic and numerical differentiation and integration, as well as support for applied linear algebra (for data science), and differential equations/dynamics. Includes grammar-of-graphics-based functions for drawing vector fields, trajectories, etc. The software is suitable for general use, but intended mainly for teaching calculus.
Version: 0.6.1
Depends: R (>= 3.5.0), mosaic, mosaicCore (>= 0.9.2),
Imports: cubature, Deriv, dplyr, ggformula, ggplot2, glue, grDevices, MASS, Matrix, metR (>= 0.11.0), orthopolynom, plotly, rlang, Ryacas, sp, stats, tibble
Suggests: testthat, knitr, palmerpenguins, rmarkdown, mosaicData
Author: Daniel T. Kaplan <kaplan@macalester.edu>, Randall Pruim <rpruim@calvin.edu>, Nicholas J. Horton <nhorton@amherst.edu>
Maintainer: Daniel Kaplan <kaplan@macalester.edu>
VignetteBuilder: knitr
NeedsCompilation: no
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
URL: https://github.com/ProjectMOSAIC/mosaicCalc
BugReports: https://github.com/ProjectMOSAIC/mosaicCalc/issues
Encoding: UTF-8
Packaged: 2024-03-16 00:51:14 UTC; kaplan
Repository: CRAN
Date/Publication: 2024-03-16 07:10:06 UTC

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Fri, 15 Mar 2024

New package rlandfire with initial version 1.0.0
Package: rlandfire
Title: Interface to 'LANDFIRE Product Service' API
Version: 1.0.0
Maintainer: Mark Buckner <mab677@cornell.edu>
Description: Provides access to a suite of geospatial data layers for wildfire management, fuel modeling, ecology, natural resource management, climate, conservation, etc., via the 'LANDFIRE' (<https://www.landfire.gov/index.php>) Product Service ('LFPS') API.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/bcknr/rlandfire
BugReports: https://github.com/bcknr/rlandfire/issues
Imports: httr, sf, utils
Suggests: knitr, raster, rmarkdown, stars, terra, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-03-14 20:56:57 UTC; mark
Author: Mark Buckner [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-03-15 11:20:02 UTC

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New package pensynth with initial version 0.3.0
Package: pensynth
Title: Penalized Synthetic Control Estimation
Version: 0.3.0
Description: Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is based on the work by Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>. Penalized synthetic controls smoothly interpolate between one-to-one matching and the synthetic control method.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: geometry, clarabel
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-03-15 08:54:50 UTC; erikj
Author: Erik-Jan van Kesteren [cre, aut] , Isaac Slaughter [ctb]
Maintainer: Erik-Jan van Kesteren <e.vankesteren1@uu.nl>
Repository: CRAN
Date/Publication: 2024-03-15 11:50:05 UTC

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New package dySEM with initial version 1.0.0
Package: dySEM
Title: Dyadic Structural Equation Modeling
Version: 1.0.0
Description: Scripting of structural equation models via 'lavaan' for Dyadic Data Analysis, and helper functions for supplemental calculations, tabling, and model visualization. Current models supported include Dyadic Confirmatory Factor Analysis, the Actor–Partner Interdependence Model (observed and latent), the Common Fate Model (observed and latent), Mutual Influence Model (latent), and the Bifactor Dyadic Model (latent).
License: GPL-3
Encoding: UTF-8
URL: https://github.com/jsakaluk/dySEM, https://jsakaluk.github.io/dySEM/
BugReports: https://github.com/jsakaluk/dySEM/issues
Imports: dplyr, gt, lavaan, lifecycle, magrittr, rlang, semPlot, stringr, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-03-14 17:49:18 UTC; johnsakaluk
Author: John Sakaluk [aut, cre, cph] , Omar Camanto [aut], Robyn Kilshaw [ctb], Alexandra Fisher [ctb]
Maintainer: John Sakaluk <jksakaluk@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-15 11:10:02 UTC

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New package palette with initial version 0.0.2
Package: palette
Title: Color Scheme Helpers
Version: 0.0.2
Description: Hexadecimal codes are typically used to represent colors in R. Connecting these codes to their colors requires practice or memorization. 'palette' provides a 'vctrs' class for working with color palettes, including printing and plotting functions. The goal of the class is to place visual representations of color palettes directly on or, at least, next to their corresponding character representations. Palette extensions also are provided for data frames using 'pillar'.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/christopherkenny/palette, https://christophertkenny.com/palette/
BugReports: https://github.com/christopherkenny/palette/issues
Imports: cli, pillar, vctrs
Suggests: ggplot2, spelling, testthat (>= 3.0.0), vdiffr
Language: en-US
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2024-03-14 17:07:36 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2024-03-15 10:40:02 UTC

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Thu, 14 Mar 2024

New package updateme with initial version 0.1.0
Package: updateme
Title: Informative Messages About Outdated Packages
Version: 0.1.0
Description: When a package is loaded, the source repository is checked for new versions and a message is shown in the console indicating whether the package is out of date.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/wurli/updateme, https://wurli.github.io/updateme/
BugReports: https://github.com/wurli/updateme/issues
Imports: cachem, cli (>= 3.6.0), curl, memoise, rlang, utils
Suggests: BiocManager, gitcreds, knitr, rmarkdown, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2024-03-13 11:51:58 UTC; JSCOTT4
Author: Jacob Scott [aut, cre]
Maintainer: Jacob Scott <jscott2718@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-14 20:10:02 UTC

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New package theftdlc with initial version 0.1.0
Package: theftdlc
Title: Analyse and Interpret Time Series Features
Version: 0.1.0
Date: 2024-03-14
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>
Description: Provides a suite of functions for analysing, interpreting, and visualising time-series features calculated from different feature sets from the 'theft' package. Implements statistical learning methodologies described in Henderson, T., Bryant, A., and Fulcher, B. (2023) <arXiv:2303.17809>.
BugReports: https://github.com/hendersontrent/theftdlc/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0), theft (>= 0.6.1)
Imports: rlang, stats, tibble, dplyr, ggplot2, tidyr, purrr, reshape2, scales, broom, Rtsne, e1071, janitor, umap, MASS, mclust, normaliseR, correctR
Suggests: lifecycle, cachem, bslib, knitr, markdown, rmarkdown, pkgdown, testthat
VignetteBuilder: knitr
URL: https://hendersontrent.github.io/theftdlc/
NeedsCompilation: no
Packaged: 2024-03-14 11:38:13 UTC; trenthenderson
Author: Trent Henderson [cre, aut]
Repository: CRAN
Date/Publication: 2024-03-14 20:40:02 UTC

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New package LipidomicsR with initial version 0.1.0
Package: LipidomicsR
Title: Elegant Tools for Processing and Visualization of Lipidomics Data
Version: 0.1.0
Maintainer: Hengyu Zhu <hengyu.21@intl.zju.edu.cn>
Description: An elegant tool for processing and visualizing lipidomics data generated by mass spectrometry. 'LipidomicsR' simplifies channel and replicate handling while providing thorough lipid species annotation. Its visualization capabilities encompass principal components analysis plots, heatmaps, volcano plots, and radar plots, enabling concise data summarization and quality assessment. Additionally, it can generate bar plots and line plots to visualize the abundance of each lipid species.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: broom, car, ggiraph, rcompanion, tidyr, cowplot, dplyr, fmsb, ggplot2, ggplotify, ggrepel, pheatmap, RColorBrewer, reshape2, scales, stringr, tidyselect
Depends: tidyverse
NeedsCompilation: no
Packaged: 2024-03-14 14:53:00 UTC; zhy11
Author: Mingshi Li [aut], Hengyu Zhu [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-14 20:40:05 UTC

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New package ggbrick with initial version 0.3.0
Package: ggbrick
Title: Waffle Style Chart with a Brick Layout in 'ggplot2'
Version: 0.3.0
Maintainer: Daniel Oehm <danieloehm@gmail.com>
Description: A new take on the bar chart. Similar to a waffle style chart but instead of squares the layout resembles a brick wall.
Depends: R (>= 3.5.0)
Imports: ggplot2, dplyr, purrr, glue
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-14 05:41:08 UTC; danie
Author: Daniel Oehm [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-14 20:20:02 UTC

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New package dnn with initial version 0.0.6
Package: dnn
Title: Deep Neural Network Tools for Probability and Statistic Models
Version: 0.0.6
Date: 2024-03-12
Author: Bingshu E. Chen [aut, cre], Patrick Norman [aut, ctb], Wenyu Jiang [ctb], Wanlu Li [ctb]
Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>
Depends: R (>= 3.5.0), ggplot2, survival, Rcpp
Imports: methods
LinkingTo: Rcpp, RcppArmadillo
Description: Contains tools to build deep neural network with flexible users define loss function and probability models. Several applications included in this package are, 1) The (deepAFT) model, a deep neural network model for accelerated failure time (AFT) model for survival data. 2) The (deepGLM) model, a deep neural network model for generalized linear model (glm) for continuous, categorical and Poisson data.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2024-03-14 15:42:28 UTC; b3chen
Repository: CRAN
Date/Publication: 2024-03-14 20:50:05 UTC

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New package cucumber with initial version 1.0.0
Package: cucumber
Title: Behavior-Driven Development for R
Version: 1.0.0
Description: Write executable specifications in a natural language that describes how your code should behave. Write specifications in feature files using 'Gherkin' language and execute them using functions implemented in R. Use them as an extension to your 'testthat' tests to provide a high level description of how your code works.
License: MIT + file LICENSE
URL: https://github.com/jakubsob/cucumber, https://jakubsob.github.io/cucumber/
BugReports: https://github.com/jakubsob/cucumber
Encoding: UTF-8
Suggests: mockery, box, shinytest2, chromote, covr, knitr, rmarkdown
Imports: checkmate, dplyr, fs, glue, purrr, rlang, stringr, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-14 08:50:51 UTC; jakub
Author: Jakub Sobolewski [aut, cre]
Maintainer: Jakub Sobolewski <jakupsob@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-14 20:30:02 UTC

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New package cpmr with initial version 0.0.8
Package: cpmr
Title: Connectome Predictive Modelling in R
Version: 0.0.8
Description: Connectome Predictive Modelling (CPM) (Shen et al. (2017) <doi:10.1038/nprot.2016.178>) is a method to predict individual differences in behaviour from brain functional connectivity. 'cpmr' provides a simple yet efficient implementation of this method.
License: MIT + file LICENSE
URL: https://github.com/psychelzh/cpmr, https://psychelzh.github.io/cpmr/
BugReports: https://github.com/psychelzh/cpmr/issues
Imports: Rfast, stats
Suggests: testthat (>= 3.0.0), withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-14 00:58:04 UTC; lenovo
Author: Liang Zhang [aut, cre]
Maintainer: Liang Zhang <psychelzh@outlook.com>
Repository: CRAN
Date/Publication: 2024-03-14 20:20:05 UTC

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New package calmr with initial version 0.6.1
Package: calmr
Title: Canonical Associative Learning Models and their Representations
Version: 0.6.1
Description: Implementations of canonical associative learning models, with tools to run experiment simulations, estimate model parameters, and compare model representations. Experiments and results are represented using S4 classes and methods.
License: GPL (>= 3)
URL: https://github.com/victor-navarro/calmr, https://victornavarro.org/calmr/
BugReports: https://github.com/victor-navarro/calmr/issues
Depends: R (>= 3.5)
Imports: data.table, future, future.apply, GA, ggnetwork, ggplot2, grid, methods, network, patchwork, progressr, rlang, stats
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-12 23:00:59 UTC; Victor
Author: Victor Navarro [aut, cre, cph]
Maintainer: Victor Navarro <navarrov@cardiff.ac.uk>
Repository: CRAN
Date/Publication: 2024-03-14 20:10:05 UTC

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New package bgev with initial version 0.1
Package: bgev
Title: Bimodal GEV Distribution with Location Parameter
Version: 0.1
Date: 2024-03-07
Depends: EnvStats, DEoptim, stats, MASS
Description: Density, distribution function, quantile function random generation and estimation of bimodal GEV distribution given in Otiniano et al. (2023) <doi:10.1007/s10651-023-00566-7>. This new generalization of the well-known GEV (Generalized Extreme Value) distribution is useful for modeling heterogeneous bimodal data from different areas.
License: GPL-3
NeedsCompilation: no
Packaged: 2024-03-14 15:36:27 UTC; thiagosousa
Author: Cira Otiniano Author [aut], Yasmin Lirio Author [aut], Thiago Sousa Developer [cre]
Maintainer: Thiago Sousa Developer <thiagoestatistico@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-14 20:50:08 UTC

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New package DiSCos with initial version 0.0.1
Package: DiSCos
Title: Distributional Synthetic Controls Estimation
Version: 0.0.1
Description: The method of synthetic controls is a widely-adopted tool for evaluating causal effects of policy changes in settings with observational data. In many settings where it is applicable, researchers want to identify causal effects of policy changes on a treated unit at an aggregate level while having access to data at a finer granularity. This package implements a simple extension of the synthetic controls estimator, developed in Gunsilius (2023) <doi:10.3982/ECTA18260>, that takes advantage of this additional structure and provides nonparametric estimates of the heterogeneity within the aggregate unit. The idea is to replicate the quantile function associated with the treated unit by a weighted average of quantile functions of the control units. The package contains tools for aggregating and plotting the resulting distributional estimates, as well as for carrying out inference on them.
License: MIT + file LICENSE
BugReports: https://github.com/
URL: <link href="https://github.com/" rel="canonical">, <link href="http://www.davidvandijcke.com/DiSCos/" rel="canonical">
LazyData: TRUE
Imports: CVXR, pracma, Rdpack, parallel, evmix, utils, extremeStat, MASS
Depends: data.table, R (>= 2.10), ggplot2
Suggests: haven, latex2exp, knitr, rmarkdown, maps, testthat (>= 3.0.0), quadprog
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-12 20:10:29 UTC; davidvandijcke
Author: David Van Dijcke [aut, cre] , Florian Gunsilius [aut] , Siyun He [aut]
Maintainer: David Van Dijcke <dvdijcke@umich.edu>
Repository: CRAN
Date/Publication: 2024-03-14 20:00:02 UTC

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New package gam.hp with initial version 0.0-1
Package: gam.hp
Title: Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models
Version: 0.0-1
Date: 2024-3-12
Depends: R (>= 3.4.0),mgcv,ggplot2
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>
Description: Conducts hierarchical partitioning to calculate individual contributions of each predictor towards adjusted R2 and explained deviance for generalized additive models based on output of gam()in 'mgcv' package, applying the algorithm in this paper: Lai(2022) <doi:10.1093/jpe/rtac096>.
License: GPL
Encoding: UTF-8
URL: https://github.com/laijiangshan/gam.hp
NeedsCompilation: no
Packaged: 2024-03-13 13:46:50 UTC; lai
Author: Jiangshan Lai [aut, cre] , Jing Tang [aut]
Repository: CRAN
Date/Publication: 2024-03-14 13:00:03 UTC

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New package CompositionalML with initial version 1.0
Package: CompositionalML
Title: Machine Learning with Compositional Data
Version: 1.0
Date: 2024-03-13
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Boruta, Compositional, doParallel, e1071, foreach, graphics, ranger, Rfast, Rfast2, stats
Description: Machine learning algorithms for predictor variables that are compositional data and the response variable is either continuous or categorical. Specifically, the Boruta variable selection algorithm, random forest, support vector machines and projection pursuit regression are included. Relevant papers include: Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data-based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. <doi:10.48550/arXiv.1106.1451> and Alenazi, A. (2023). "A review of compositional data analysis and recent advances". Communications in Statistics--Theory and Methods, 52(16): 5535--5567. <doi:10.1080/03610926.2021.2014890>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-03-13 12:23:56 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-03-14 12:40:02 UTC

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Wed, 13 Mar 2024

New package scAnnotate with initial version 0.3
Package: scAnnotate
Title: An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data
Version: 0.3
Description: An entirely data-driven cell type annotation tools, which requires training data to learn the classifier, but not biological knowledge to make subjective decisions. It consists of three steps: preprocessing training and test data, model fitting on training data, and cell classification on test data. See Xiangling Ji,Danielle Tsao, Kailun Bai, Min Tsao, Li Xing, Xuekui Zhang.(2022)<doi:10.1101/2022.02.19.481159> for more details.
Depends: R(>= 4.0.0)
License: GPL-3
URL: https://doi.org/10.1101/2022.02.19.481159
Encoding: UTF-8
LazyData: true
Suggests: knitr, testthat (>= 3.0.0), rmarkdown
VignetteBuilder: knitr
Imports: glmnet, stats, Seurat (>= 5.0.1), harmony, SeuratObject
NeedsCompilation: no
Packaged: 2024-03-13 22:29:52 UTC; xzhang
Author: Xiangling Ji [aut], Danielle Tsao [aut], Kailun Bai [ctb], Min Tsao [aut], Li Xing [aut], Xuekui Zhang [aut, cre]
Maintainer: Xuekui Zhang <xuekui@uvic.ca>
Repository: CRAN
Date/Publication: 2024-03-14 00:00:02 UTC

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New package bnclassify with initial version 0.4.8
Package: bnclassify
Title: Learning Discrete Bayesian Network Classifiers from Data
Description: State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.
Version: 0.4.8
URL: https://github.com/bmihaljevic/bnclassify
BugReports: https://github.com/bmihaljevic/bnclassify/issues
Depends: R (>= 3.2.0)
Imports: assertthat (>= 0.1), entropy(>= 1.2.0), matrixStats(>= 0.14.0), rpart(>= 4.1-8), Rcpp,
Suggests: igraph, gRain(>= 1.2-3), gRbase(>= 1.7-0.1), mlr(>= 2.2), testthat(>= 0.8.1), knitr(>= 1.10.5), ParamHelpers(>= 1.5), rmarkdown(>= 0.7), mlbench, covr
Encoding: UTF-8
License: GPL (>= 2)
Maintainer: Mihaljevic Bojan <boki.mihaljevic@gmail.com>
VignetteBuilder: knitr
LinkingTo: Rcpp, BH
NeedsCompilation: yes
Packaged: 2024-03-13 10:57:12 UTC; bmihaljevic
Author: Mihaljevic Bojan [aut, cre, cph], Bielza Concha [aut], Larranaga Pedro [aut], Wickham Hadley [ctb]
Repository: CRAN
Date/Publication: 2024-03-13 12:20:02 UTC

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New package reformulas with initial version 0.2.0
Package: reformulas
Title: Machinery for Processing Random Effect Formulas
Version: 0.2.0
Description: Takes formulas including random-effects components (formatted as in 'lme4', 'glmmTMB', etc.) and processes them. Includes various helper functions.
URL: https://github.com/bbolker/reformulas
License: GPL-3
Encoding: UTF-8
Imports: stats, methods, Matrix, Rdpack
Suggests: lme4, tinytest
NeedsCompilation: no
Packaged: 2024-03-12 22:41:21 UTC; bolker
Author: Ben Bolker [aut, cre]
Maintainer: Ben Bolker <bolker@mcmaster.ca>
Repository: CRAN
Date/Publication: 2024-03-13 11:20:02 UTC

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New package r2stl with initial version 1.0.3
Package: r2stl
Version: 1.0.3
Date: 2024-03-12
Title: Visualizing Data using a 3D Printer
Description: Converts data to STL (stereolithography) files that can be used to feed a 3-dimensional printer. The 3-dimensional output from a function can be materialized into a solid surface in a plastic material, therefore allowing more detailed examination. There are many possible uses for this new tool, such as to examine mathematical expressions with very irregular shapes, to aid teaching people with impaired vision, to create raised relief maps from digital elevation maps (DEMs), to bridge the gap between mathematical tools and rapid prototyping, and many more. Ian Walker created the function r2stl() and Jose' Gama assembled the package.
License: CC BY-SA 4.0
Encoding: UTF-8
Depends: R (>= 2.7.0)
Imports: graphics
URL: https://github.com/paulnorthrop/r2stl, https://paulnorthrop.github.io/r2stl/
BugReports: https://github.com/paulnorthrop/r2stl/issues
NeedsCompilation: no
Packaged: 2024-03-12 16:35:33 UTC; Paul
Author: Ian Walker [aut], Jose' Gama [aut], Paul J. Northrop [cre, ctb]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2024-03-13 11:20:05 UTC

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New package LogicForest with initial version 2.1.1
Package: LogicForest
Title: Logic Forest
Version: 2.1.1
Depends: R (>= 2.10)
Imports: LogicReg, methods
Suggests: data.table, knitr, rmarkdown
Description: Two classification ensemble methods based on logic regression models. LogForest() uses a bagging approach to construct an ensemble of logic regression models. LBoost() uses a combination of boosting and cross-validation to construct an ensemble of logic regression models. Both methods are used for classification of binary responses based on binary predictors and for identification of important variables and variable interactions predictive of a binary outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-12 18:23:18 UTC; nika02
Author: Bethany Wolf [aut], Melica Nikahd [ctb, cre], Madison Hyer [ctb]
Maintainer: Melica Nikahd <melica.nikahd@osumc.edu>
Repository: CRAN
Date/Publication: 2024-03-13 11:20:08 UTC

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New package geeVerse with initial version 0.1.0
Package: geeVerse
Title: A Comprehensive Analysis of High Dimensional Longitudinal Data
Version: 0.1.0
Description: To provide a comprehensive analysis of high dimensional longitudinal data,this package provides analysis for any combination of 1) simultaneous variable selection and estimation, 2) mean regression or quantile regression for heterogeneous data, 3) cross-sectional or longitudinal data, 4) balanced or imbalanced data, 5) moderate, high or even ultra-high dimensional data, via computationally efficient implementations of penalized generalized estimating equations.
License: GPL-3
Encoding: UTF-8
Imports: mvtnorm, quantreg, Rcpp (>= 0.10.2), doParallel, foreach
Suggests: methods
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2024-03-12 14:46:33 UTC; tianhaizu
Author: Tianhai Zu [aut, cre], Brittany Green [aut, ctb], Yan Yu [aut, ctb]
Maintainer: Tianhai Zu <zuti@mail.uc.edu>
Repository: CRAN
Date/Publication: 2024-03-13 11:10:02 UTC

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New package ciw with initial version 0.0.1
Package: ciw
Title: Watch the CRAN Incoming Directories
Version: 0.0.1
Date: 2024-03-12
Description: Directory reads and summaries are provided for one or more of the subdirectories of the <https://cran.r-project.org/incoming/> directory, and a compact summary object is returned. The package name is a contraption of 'CRAN Incoming Watcher'.
License: GPL (>= 2)
Imports: curl, XML, data.table (>= 1.5.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-13 00:17:55 UTC; edd
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2024-03-13 11:50:02 UTC

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Tue, 12 Mar 2024

New package MetAlyzer with initial version 1.0.0
Package: MetAlyzer
Title: Read and Analyze 'MetIDQ&trade;' Software Output Files
Version: 1.0.0
Maintainer: Nils Mechtel <nils.mech@gmail.com>
Depends: R (>= 4.0.0)
Imports: SummarizedExperiment, openxlsx, stringr, dplyr, tidyr, tibble, agricolae, ggplot2, ggrepel, utils, rlang, methods, data.table, S4Vectors, qvalue
Description: The 'MetAlyzer' S4 object provides methods to read and reformat metabolomics data for convenient data handling, statistics and downstream analysis. The resulting format corresponds to input data of the Shiny app 'MetaboExtract' (<https://www.metaboextract.shiny.dkfz.de/MetaboExtract/>).
License: GPL-3
Encoding: UTF-8
Language: en-US
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
URL: https://github.com/nilsmechtel/MetAlyzer
BugReports: https://github.com/nilsmechtel/MetAlyzer/issues
NeedsCompilation: no
Packaged: 2024-03-12 21:21:42 UTC; nilsm
Author: Nils Mechtel [aut, cre] , Luis Herfurth [aut] , Carolin Andresen [aut] , Daniel Huebschmann [aut]
Repository: CRAN
Date/Publication: 2024-03-13 00:00:02 UTC

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New package xxhashlite with initial version 0.2.2
Package: xxhashlite
Title: Extremely Fast Hashing of R Objects, Raw Data and Files using 'xxHash' Algorithms
Version: 0.2.2
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Extremely fast hashing of R objects using 'xxHash'. R objects are hashed via the standard serialization mechanism in R. Raw byte vectors and strings can be handled directly for compatibility with hashes created on other systems. This implementation is a wrapper around the 'xxHash' 'C' library which is available from <https://github.com/Cyan4973/xxHash>.
License: MIT + file LICENSE
URL: https://github.com/coolbutuseless/xxhashlite
BugReports: https://github.com/coolbutuseless/xxhashlite/issues
Encoding: UTF-8
Suggests: testthat
Depends: R (>= 3.5.0)
Copyright: This package includes code from the 'xxhash' written Yann Collet. See file 'inst/LICENSE-xxhash' for copyright information of the original library.
NeedsCompilation: yes
Packaged: 2024-03-12 07:12:31 UTC; mike
Author: Mike Cheng [aut, cre, cph], Yann Collet [ctb, cph]
Repository: CRAN
Date/Publication: 2024-03-12 20:10:02 UTC

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New package CompGR with initial version 0.1.3
Package: CompGR
Title: Complete Annual Growth Rate Generator
Version: 0.1.3
Maintainer: Ashis Ranjan Udgata <ashisu93@gmail.com>
Depends: R(>= 2.10)
Suggests: testthat (>= 3.0.0)
Description: It is designed to streamline the process of calculating complete annual growth rates with user-friendly functions and robust algorithms. It enables researchers and analysts to effortlessly generate precise growth rate estimates for their data. For method details see, Sharma, M.K.(2013) <https://www.indianjournals.com/ijor.aspx?target=ijor:jfl&volume=26&issue=1and2&article=018>. It offers a comprehensive suite of functions and customisable parameters. Equipped to handle varying complexities in data structures. It empowers users to uncover insightful growth dynamics and make informed decisions.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2024-03-12 12:27:45 UTC; Ashis
Author: Ashis Ranjan Udgata [aut, cre], Devraj [aut], Rekha Rani [aut], Uma Sah [aut]
Repository: CRAN
Date/Publication: 2024-03-12 20:20:02 UTC

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New package clusterMI with initial version 1.0.0
Encoding: UTF-8
Package: clusterMI
Title: Cluster Analysis with Missing Values by Multiple Imputation
Version: 1.0.0
Date: 2024-03-11
Description: Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling, The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap. Among applications, this instability measure can be used to choose a number of clusters with missing values. The package also proposes several diagnostic tools to tune the number of imputed data sets, to tune the number of iterations in fully sequential imputation, to check the fit of imputation models, etc.
License: GPL-2 | GPL-3
Depends: R (>= 3.5.0)
Imports: stats, graphics, parallel, mice, micemd, mclust, mix, fpc, usedist, knockoff, withr, glmnet, cluster, ClusterR, FactoMineR, diceR, NPBayesImputeCat, e1071, Rfast, cat, utils, lattice, reshape2, methods, Rcpp
Suggests: knitr, rmarkdown, stargazer, VIM, missMDA, clustrd, clusterCrit, ggplot2, bookdown
VignetteBuilder: knitr
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
RcppModules: IO_module
NeedsCompilation: yes
Packaged: 2024-03-12 07:08:54 UTC; vince
Author: Vincent Audigier [aut, cre] , Hang Joon Kim [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>
Repository: CRAN
Date/Publication: 2024-03-12 20:10:05 UTC

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New package sfcentral with initial version 0.1.0
Package: sfcentral
Title: Spatial Centrality and Dispersion Statistics
Version: 0.1.0
Date: 2024-03-11
Maintainer: Gabriel V. Gaona <gabo@gavg712.com>
Description: Computing centrographic statistics (central points, standard distance, standard deviation ellipse, standard deviation box) for observations taken at point locations in 2D or 3D. The 'sfcentral' library was inspired in 'aspace' package but conceived to be used in a spatial 'tidyverse' context.
URL: https://gavg712.gitlab.io/sfcentral/, https://gitlab.com/gavg712/sfcentral
BugReports: https://gitlab.com/gavg712/sfcentral/-/issues
Language: en-US
License: GPL (>= 3)
Encoding: UTF-8
Imports: geodist (>= 0.0.7), Hmisc (>= 4.6.0), lwgeom (>= 0.2.0), scales (>= 1.2.0), sf (>= 1.0.8), stats
Suggests: ggplot2 (>= 3.3.6), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-03-11 19:55:19 UTC; gabo
Author: Gabriel V. Gaona [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-12 19:50:02 UTC

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New package phoenix with initial version 1.0.0
Package: phoenix
Title: The Phoenix Pediatric Sepsis and Septic Shock Criteria
Version: 1.0.0
Description: Implementation of the Phoenix and Phoenix-8 Sepsis Criteria as described in "Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock" by Sanchez-Pinto, Bennett, DeWitt, Russell et al. (2024) <doi:10.1001/jama.2024.0196> (Drs. Sanchez-Pinto and Bennett contributed equally to this manuscript; Dr. DeWitt and Mr. Russell contributed equally to the manuscript) and "International Consensus Criteria for Pediatric Sepsis and Septic Shock" by Schlapbach, Watson, Sorce, Argent, et al. (2024) <doi:10.1001/jama.2024.0179> (Drs Schlapbach, Watson, Sorce, and Argent contributed equally).
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/CU-DBMI-Peds/phoenix/
BugReports: https://github.com/CU-DBMI-Peds/phoenix/issues
Language: en-us
LazyData: true
Imports:
LinkingTo:
Suggests: knitr, ggplot2, qwraps2 (>= 0.6.0), reticulate, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-12 01:36:10 UTC; peterdewitt
Author: Peter DeWitt [aut, cre] , Seth Russell [ctb] , Meg Rebull [ctb] , Tell Bennett [ctb] , L. Nelson Sanchez-Pinto [ctb]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2024-03-12 20:00:02 UTC

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New package hySAINT with initial version 1.2.0
Package: hySAINT
Title: Hybrid Genetic and Simulated Annealing for Variable Selection
Version: 1.2.0
Description: We provide a stage-wise selection method using genetic algorithms, designed to efficiently identify main and two-way interactions within high-dimensional linear regression models. Additionally, it implements simulated annealing algorithms during the mutation process. The relevant paper can be found at: Ye, C.,and Yang,Y. (2019) <doi:10.1109/TIT.2019.2913417>.
License: GPL-2
Encoding: UTF-8
Imports: utils, Matrix, energy, pracma, stats, selectiveInference, VariableScreening, SIS
Language: en-US
Author: Leiyue Li [aut, cre], Chenglong Ye [aut]
Maintainer: Leiyue Li <lli289.git@gmail.com>
NeedsCompilation: no
Packaged: 2024-03-11 22:31:13 UTC; lillianli
Repository: CRAN
Date/Publication: 2024-03-12 19:50:05 UTC

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New package glmpermu with initial version 0.0.1
Package: glmpermu
Title: Permutation-Based Inference for Generalized Linear Models
Version: 0.0.1
Description: In practical applications, the assumptions underlying generalized linear models frequently face violations, including incorrect specifications of the outcome variable's distribution or omitted predictors. These deviations can render the results of standard generalized linear models unreliable. As the sample size increases, what might initially appear as minor issues can escalate to critical concerns. To address these challenges, we adopt a permutation-based inference method tailored for generalized linear models. This approach offers robust estimations that effectively counteract the mentioned problems, and its effectiveness remains consistent regardless of the sample size.
License: MIT + file LICENSE
Encoding: UTF-8
Maintainer: Xuekui Zhang <xuekui@uvic.ca>
NeedsCompilation: no
Packaged: 2024-03-12 00:46:26 UTC; soojeongkim
Author: Xuekui Zhang [aut, cre], Li Xing [aut], Jing Zhang [aut], Soojeong Kim [aut]
Repository: CRAN
Date/Publication: 2024-03-12 20:00:06 UTC

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New package Fluidigm with initial version 0.2
Package: Fluidigm
Title: Handling Fluidigm Data
Version: 0.2
Description: Designed to streamline the process of analyzing genotyping data from Fluidigm machines, this package offers a suite of tools for data handling and analysis. It includes functions for converting Fluidigm data to format used by 'PLINK', estimating errors, calculating pairwise similarities, determining pairwise similarity loci, and generating a similarity matrix.
License: GPL-3
Encoding: UTF-8
SystemRequirements: perl (>= 5.10.0), plink (>=1.07)
Imports: data.table (>= 1.9.4), graphics, grDevices, reshape (>= 0.8.8), stats, utils
Suggests: knitr, rmarkdown, testthat, digest
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-11 15:50:51 UTC; ejo138
Author: Daniel Fischer [aut, cre] , Helena Johansson [ctb, fnd], Robert Ekblom [aut]
Maintainer: Daniel Fischer <Daniel.Fischer@luke.fi>
Repository: CRAN
Date/Publication: 2024-03-12 19:40:02 UTC

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New package Coxmos with initial version 1.0.0
Package: Coxmos
Title: Cox MultiBlock Survival
Version: 1.0.0
Maintainer: Pedro Salguero Garcia <pedrosalguerog@gmail.com>
Description: This software package provides Cox survival analysis for high-dimensional and multiblock datasets. It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis, including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression, Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies, and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources for interpreting results. While references are available within the corresponding functions, key literature is mentioned below. Terry M Therneau (2024) <https://CRAN.R-project.org/package=survival>, Noah Simon et al. (2011) <doi:10.18637/jss.v039.i05>, Philippe Bastien et al. (2005) <doi:10.1016/j.csda.2004.02.005>, Philippe Bastien (2008) <doi:10.1016/j.chemolab.2007.09.009& [...truncated...]
URL: https://github.com/BiostatOmics/Coxmos
BugReports: https://github.com/BiostatOmics/Coxmos/issues
License: CC BY 4.0
Encoding: UTF-8
Depends: R (>= 4.1.0),
Imports: caret, cowplot, furrr, future, ggrepel, ggplot2, ggpubr, glmnet, MASS, mixOmics, progress, purrr, Rdpack, scattermore, stats, survcomp, survival, survminer, svglite, tidyr, utils
Suggests: nsROC, smoothROCtime, survivalROC, risksetROC, ggforce, knitr, RColorConesa, rmarkdown
LazyData: true
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2024-03-11 22:39:36 UTC; Ps
Author: Pedro Salguero Garcia [aut, cre, rev] , Sonia Tarazona Campos [ths], Ana Conesa Cegarra [ths], Kassu Mehari Beyene [ctb], Luis Meira Machado [ctb], Marta Sestelo [ctb], Artur Araujo [ctb]
Repository: CRAN
Date/Publication: 2024-03-12 20:00:09 UTC

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New package h3r with initial version 0.1.1
Package: h3r
Title: Hexagonal Hierarchical Geospatial Indexing System
Version: 0.1.1
Date: 2024-03-12
Description: Provides access to Uber's 'H3' geospatial indexing system via 'h3lib' <https://CRAN.R-project.org/package=h3lib>. 'h3r' is designed to mimic the 'H3' Application Programming Interface (API) <https://h3geo.org/docs/api/indexing/>, so that any function in the API is also available in 'h3r'.
License: MIT + file LICENSE
URL: https://symbolixau.github.io/h3r/
BugReports: https://github.com/symbolixau/h3r/issues
Encoding: UTF-8
LazyData: true
Depends: h3lib (>= 0.1.3), R (>= 2.10)
LinkingTo: h3lib
Suggests: sfheaders, tinytest
NeedsCompilation: yes
Packaged: 2024-03-11 23:30:48 UTC; david
Author: David Cooley [aut, cre], Ray Shao [aut]
Maintainer: David Cooley <dcooley@symbolix.com.au>
Repository: CRAN
Date/Publication: 2024-03-12 13:20:02 UTC

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New package rgeoboundaries with initial version 1.3
Package: rgeoboundaries
Title: geoBoundaries Client
Version: 1.3
Description: Provides access to the geoBoundaries international boundary database <https://www.geoboundaries.org>, a NSF and foundation supported dataset of subnational boundaries around the globe. Methods allow you to access data directly from the API <https://www.geoboundaries.org/api/current/> to query for the geometric boundaries for any country, globally. For more details, refer to the publication by Runfola et al. (2020) <doi:10.1371/journal.pone.0231866>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/wmgeolab/rgeoboundaries
BugReports: https://github.com/wmgeolab/rgeoboundaries/issues
Depends: R (>= 4.1)
Imports: crul (>= 1.4.0), jsonlite, sf (>= 1.0.0), hoardr, glue, memoise, countrycode (>= 1.2.0), lifecycle
Suggests: roxygen2, knitr, rmarkdown, testthat, covr,
NeedsCompilation: no
Packaged: 2024-03-08 20:24:56 UTC; rohith
Author: Ahmadou Dicko [aut], Ahmadou Dicko [cre], Andy South [ctb], Daniel Runfola [ctb], Rohith Reddy Mandala [ctb]
Maintainer: Ahmadou Dicko <team@geoboundaries.org>
Repository: CRAN
Date/Publication: 2024-03-12 12:40:03 UTC

More information about rgeoboundaries at CRAN
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New package epwshiftr with initial version 0.1.4
Package: epwshiftr
Title: Create Future 'EnergyPlus' Weather Files using 'CMIP6' Data
Version: 0.1.4
Description: Query, download climate change projection data from the 'CMIP6' (Coupled Model Intercomparison Project Phase 6) project <https://pcmdi.llnl.gov/CMIP6/> in the 'ESGF' (Earth System Grid Federation) platform <https://esgf.llnl.gov>, and create future 'EnergyPlus' <https://energyplus.net> Weather ('EPW') files adjusted from climate changes using data from Global Climate Models ('GCM').
Imports: checkmate (>= 2.0.0), cli (>= 3.4.0), data.table (>= 1.12.4), eplusr (>= 0.15.2), fst, future.apply, jsonlite, PCICt, progressr, psychrolib, R6, rappdirs, RNetCDF, units
Suggests: testthat (>= 3.0.0), curl, mockery, withr, pingr, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ideas-lab-nus/epwshiftr
BugReports: https://github.com/ideas-lab-nus/epwshiftr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-11 00:31:39 UTC; hongyuanjia
Author: Hongyuan Jia [aut, cre] , Adrian Chong [aut]
Maintainer: Hongyuan Jia <hongyuanjia@outlook.com>
Repository: CRAN
Date/Publication: 2024-03-12 12:40:05 UTC

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New package OptimModel with initial version 2.0-1
Package: OptimModel
Version: 2.0-1
Date: 2024-02-17
Title: Perform Nonlinear Regression Using 'optim' as the Optimization Engine
Author: Steven Novick [aut, cre]
Maintainer: Steven Novick <Steven.Novick@takeda.com>
Depends: R (>= 3.0.0),stats, utils, methods, Matrix
Suggests: knitr, testthat, rmarkdown, ggplot2
Description: A wrapper for 'optim' for nonlinear regression problems; see Nocedal J and Write S (2006, ISBN: 978-0387-30303-1). Performs ordinary least squares (OLS), iterative re-weighted least squares (IRWLS), and maximum likelihood (MLE). Also includes the robust outlier detection (ROUT) algorithm; see Motulsky, H and Brown, R (2006)<doi:10.1186/1471-2105-7-123>.
License: GPL-2
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Repository: CRAN
Packaged: 2024-03-08 23:02:39 UTC; mvculp
Date/Publication: 2024-03-12 09:20:02 UTC

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New package Inquilab with initial version 0.1.0
Package: Inquilab
Title: Dissipation Kinetics Analysis, Half Life Period, Rate Constant, Plots
Version: 0.1.0
Maintainer: Jajati Mandal <J.Mandal2@salford.ac.uk>
Description: For environmental chemists, ecologists, researchers and agricultural scientists to understand the dissipation kinetics, calculate the half-life periods and rate constants of compounds, pesticides, contaminants in different matrices.
License: GPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-11 15:30:43 UTC; ses470
Author: Jajati Mandal [cre], Sandiapan Samanta [aut], Santanu Majumder [aut]
Repository: CRAN
Date/Publication: 2024-03-12 09:20:06 UTC

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New package glmmrOptim with initial version 0.3.4
Package: glmmrOptim
Title: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models
Version: 0.3.4
Date: 2024-03-01
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>
Description: Optimal design analysis algorithms for any study design that can be represented or modelled as a generalised linear mixed model including cluster randomised trials, cohort studies, spatial and temporal epidemiological studies, and split-plot designs. See <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual on model specification. A detailed discussion of the methods in this package can be found in Watson and Pan (2022) <arXiv:2207.09183>.
License: GPL (>= 2)
Imports: methods, Rcpp (>= 1.0.7), digest
LinkingTo: Rcpp (>= 1.0.7), RcppEigen, RcppProgress, glmmrBase (>= 0.4.6), SparseChol (>= 0.2.1), BH, rminqa (>= 0.2.2)
NeedsCompilation: yes
Author: Sam Watson [aut, cre], Yi Pan [aut]
URL: https://github.com/samuel-watson/glmmrOptim
BugReports: https://github.com/samuel-watson/glmmrOptim/issues
Suggests: testthat, CVXR
Biarch: true
Depends: R (>= 3.4.0), Matrix, glmmrBase
SystemRequirements: GNU make
Encoding: UTF-8
Packaged: 2024-03-01 11:10:12 UTC; samue
Repository: CRAN
Date/Publication: 2024-03-12 08:10:02 UTC

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Mon, 11 Mar 2024

New package MKendall with initial version 1.5-4
Package: MKendall
Title: Matrix Kendall's Tau and Matrix Elliptical Factor Model
Version: 1.5-4
Author: Yong He [aut], Yalin Wang [aut, cre], Long Yu [aut], Wang Zhou [aut], Wenxin Zhou [aut]
Maintainer: Yalin Wang <wangyalin@mail.sdu.edu.cn>
Description: Large-scale matrix-variate data have been widely observed nowadays in various research areas such as finance, signal processing and medical imaging. Modelling matrix-valued data by matrix-elliptical family not only provides a flexible way to handle heavy-tail property and tail dependencies, but also maintains the intrinsic row and column structure of random matrices. We proposed a new tool named matrix Kendall's tau which is efficient for analyzing random elliptical matrices. By applying this new type of Kendell’s tau to the matrix elliptical factor model, we propose a Matrix-type Robust Two-Step (MRTS) method to estimate the loading and factor spaces. See the details in He at al. (2022) <arXiv:2207.09633>. In this package, we provide the algorithms for calculating sample matrix Kendall's tau, the MRTS method and the Matrix Kendall's tau Eigenvalue-Ratio (MKER) method which is used for determining the number of factors.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-11 08:53:10 UTC; lenovo
Repository: CRAN
Date/Publication: 2024-03-11 19:10:05 UTC

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New package infoelectoral with initial version 1.0.0
Package: infoelectoral
Title: Download Spanish Election Results
Version: 1.0.0
Maintainer: Hector Meleiro <hmeleiros@gmail.com>
Description: Download official election results for Spain at polling station, municipality and province level from the Ministry of Interior (<https://infoelectoral.interior.gob.es/es/elecciones-celebradas/area-de-descargas/>), format them and import them to the R environment.
Depends: R (>= 3.5.0)
License: GPL-2
URL: https://github.com/rOpenSpain/infoelectoral
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 1.0.0), stringr (>= 1.0.0)
Suggests: mapSpain, tmap, tidyr, preferably, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-11 08:39:33 UTC; hmele
Author: Hector Meleiro [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-11 19:10:02 UTC

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New package zstdlite with initial version 0.2.6
Package: zstdlite
Title: Fast Compression and Serialization with 'Zstandard' Algorithm
Version: 0.2.6
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Fast, compressed serialization of R objects using the 'Zstandard' algorithm. R objects can be compressed and decompressed quickly using the standard serialization mechanism in R. Raw byte vectors and strings are also handled directly for compatibility with compressed data created by other systems and programs supporting 'Zstandard' compression. Dictionaries are supported for more effective compression of small data, and functions are provided for training these dictionaries. This implementation is a wrapper around the 'Zstandard' 'C' library which is available from <https://github.com/facebook/zstd>.
URL: https://github.com/coolbutuseless/zstdlite
BugReports: https://github.com/coolbutuseless/zstdlite/issues
License: MIT + file LICENSE
Encoding: UTF-8
Copyright: This package includes code from the 'zstd' library owned by Meta Platforms, Inc. and affiliates. and created by Yann Collet. See file 'inst/COPYRIGHTS' for details.
Suggests: knitr, rmarkdown, testthat, bench
Depends: R (>= 3.4.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-10 06:14:12 UTC; mike
Author: Mike Cheng [aut, cre, cph], Yann Collet [ctb, cph] , Meta Platforms, Inc. and affiliates. [cph]
Repository: CRAN
Date/Publication: 2024-03-11 18:50:02 UTC

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New package sdcMicro with initial version 5.7.8
Package: sdcMicro
Title: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation
Version: 5.7.8
Date: 2024-03-09
Description: Data from statistical agencies and other institutions are mostly confidential. This package, introduced in Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>, can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymization methods are included. Note that the package includes a graphical user interface published in Meindl and Templ (2019) <doi:10.3390/a12090191> that allows to use various methods of this package.
LazyData: TRUE
ByteCompile: TRUE
LinkingTo: Rcpp
Depends: R (>= 2.10)
Suggests: laeken,testthat
Imports: utils, stats, graphics, car, carData, rmarkdown, knitr, data.table, xtable, robustbase, cluster, MASS, e1071, tools, Rcpp, methods, ggplot2, shiny (>= 1.4.0), haven, rhandsontable, DT, shinyBS, prettydoc, VIM(>= 4.7.0)
License: GPL-2
URL: https://github.com/sdcTools/sdcMicro
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-03-10 12:00:14 UTC; matthias
Author: Matthias Templ [aut, cre] , Bernhard Meindl [aut], Alexander Kowarik [aut] , Johannes Gussenbauer [aut], Organisation For Economic Co-Operation And Development [cph] code code for rank swapping, mdav-microaggregation, suda2 and other risk measures [...truncated...]
Maintainer: Matthias Templ <matthias.templ@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-11 19:00:02 UTC

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New package link with initial version 2024.4.0
Package: link
Title: Hyperlink Automatic Detection
Version: 2024.4.0
Description: Automatic detection of hyperlinks for packages and calls in the text of 'rmarkdown' or 'quarto' documents.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: bslib, downlit, glue, htmltools, httr2, knitr, rlang, stringr, xml2
URL: https://link.tada.science/, https://github.com/tadascience/link
BugReports: https://github.com/tadascience/link/issues
NeedsCompilation: no
Packaged: 2024-03-09 18:09:36 UTC; romainfrancois
Author: Romain Francois [aut, cre], tada.science [cph, fnd]
Maintainer: Romain Francois <romain@tada.science>
Repository: CRAN
Date/Publication: 2024-03-11 18:50:05 UTC

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New package iDOS with initial version 1.0.1
Package: iDOS
Title: Integrated Discovery of Oncogenic Signatures
Version: 1.0.1
Date: 2024-03-09
Author: Syed Haider [aut, cre], Francesca Buffa [aut]
Maintainer: Syed Haider <Syed.Haider@icr.ac.uk>
Depends: R (>= 3.6.0), VennDiagram (>= 1.6.5)
Description: A method to integrate molecular profiles of cancer patients (gene copy number and mRNA abundance) to identify candidate gain of function alterations. These candidate alterations can be subsequently further tested to discover cancer driver alterations. Briefly, this method tests of genomic correlates of mRNA dysregulation and prioritise those where DNA gains/amplifications are associated with elevated mRNA expression of the same gene. For details see, Haider S et al. (2016) "Genomic alterations underlie a pan-cancer metabolic shift associated with tumour hypoxia", Genome Biology, <https://pubmed.ncbi.nlm.nih.gov/27358048/>.
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-03-09 20:20:57 UTC; shaider
Repository: CRAN
Date/Publication: 2024-03-11 18:50:09 UTC

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New package dilp with initial version 1.0.0
Package: dilp
Title: Reconstruct Paleoclimate and Paleoecology with Leaf Physiognomy
Version: 1.0.0
Description: Use leaf physiognomic methods to reconstruct mean annual temperature (MAT), mean annual precipitation (MAP), and leaf dry mass per area (Ma), along with other useful quantitative leaf traits. Methods in this package described in Lowe et al. (in review).
License: GPL (>= 3)
URL: https://github.com/mjbutrim/dilp, https://mjbutrim.github.io/dilp/
BugReports: https://github.com/mjbutrim/dilp/issues
Depends: R (>= 2.10)
Imports: dplyr, ggplot2, ggrepel, grDevices, magrittr, rlang, stats, stringr, tidyr, utils, vegan
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-08 20:24:42 UTC; UW-User
Author: Matthew J. Butrim [aut, cre, cph], Alexander J. Lowe [aut], Andrew G. Flynn [aut], Aly Baumgartner [aut], Daniel J. Peppe [aut], Dana L. Royer [aut]
Maintainer: Matthew J. Butrim <mbutrim@uwyo.edu>
Repository: CRAN
Date/Publication: 2024-03-11 18:20:02 UTC

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New package rnames with initial version 1.0.0
Package: rnames
Title: Recursive Display of Items in Nested Lists
Version: 1.0.0
Maintainer: Diego Ciccia <cicciadiego99@gmail.com>
Description: Recursive display of names and paths of all the items nested within sublists of a list object.
License: MIT + file LICENSE
Author: Diego Ciccia [aut, cre]
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-09 14:20:56 UTC; 39380
Repository: CRAN
Date/Publication: 2024-03-11 15:10:02 UTC

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New package PDXpower with initial version 1.0.0
Package: PDXpower
Title: Time to Event Outcome in Experimental Designs of Pre-Clinical Studies
Version: 1.0.0
Date: 2024-03-08
Maintainer: Shanpeng Li <lishanpeng0913@ucla.edu>
Description: Conduct simulation-based customized power calculation for clustered time to event data in a mixed crossed/nested design, where a number of cell lines and a number of mice within each cell line are considered to achieve a desired statistical power, motivated by Eckel-Passow and colleagues (2021) <doi:10.1093/neuonc/noab137>. This package provides two commonly used models for powering a design, linear mixed effects and Cox frailty model. Both models account for within-subject (cell line) correlation while holding different distributional assumptions about the outcome. Alternatively, the counterparts of fixed effects model are also available, which produces similar estimates of statistical power.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0),survival,stats,parallel
Imports: nlme,frailtypack,ggplot2,ggpubr
Suggests: testthat (>= 3.0.0), spelling
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-09 14:41:39 UTC; shanpengli
Author: Shanpeng Li [aut, cre], Gang Li [ctb]
Repository: CRAN
Date/Publication: 2024-03-11 15:20:02 UTC

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New package LipinskiFilters with initial version 1.0.1
Package: LipinskiFilters
Title: Computes and Visualize Lipinski's Parameters
Version: 1.0.1
Description: This computes Lipinski Rule of Five parameters and offers visualization for drug discovery. It analyzes molecular properties like molecular weight, hydrogen bond donors, acceptors, and ALogP, providing histograms and pass/fail status plots for efficient compound evaluation, aiding in drug development.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6.0), cowplot, rcdk (>= 3.8.1), ggplot2
Imports: itertools (>= 0.1-3), utils, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-09 17:39:34 UTC; Oche
Author: Oche Ambrose George [aut, cre]
Maintainer: Oche Ambrose George <ocheab1@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-11 15:20:05 UTC
Suggests: rmarkdown

More information about LipinskiFilters at CRAN
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New package surveygraph with initial version 0.1.0
Package: surveygraph
Title: Network Representations of Attitudes
Version: 0.1.0
Author: Samuel Unicomb [aut, cre], Alejandro Dinkelberg [aut], Padraig MacCarron [aut], David O'Sullivan [aut], Paul Maher [aut], Mike Quayle [aut]
Maintainer: Samuel Unicomb <samuelunicomb@gmail.com>
Description: A tool for computing network representations of attitudes, extracted from tabular data such as sociological surveys. By treating a survey as a bipartite network, we measure the similarity between respondents and survey items to produce network edges. We do this in both a respondent network, as well as a survey item network. Used in combination with graph visualisation libraries, this techniques helps practitioners in the social sciences identify network structure that may be present within a survey at a glance.
Depends: R (>= 2.15.1)
URL: https://surveygraph.ie/
BugReports: https://github.com/surveygraph/surveygraphr/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: covr, ggplot2, igraph, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-09 11:57:33 UTC; sam
Repository: CRAN
Date/Publication: 2024-03-11 15:00:02 UTC

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New package httpgd with initial version 2.0.1
Package: httpgd
Title: A 'HTTP' Server Graphics Device
Version: 2.0.1
Description: A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves graphics via 'HTTP' and 'WebSockets'.
License: GPL (>= 2)
Depends: R (>= 3.2.0)
Imports: unigd
LinkingTo: unigd, cpp11 (>= 0.2.4), AsioHeaders (>= 1.22.1)
Suggests: testthat, xml2 (>= 1.0.0), knitr, rmarkdown, covr, future, httr, jsonlite
Encoding: UTF-8
SystemRequirements: C++17
URL: https://github.com/nx10/httpgd, https://nx10.github.io/httpgd/
BugReports: https://github.com/nx10/httpgd/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-10 22:22:02 UTC; floru
Author: Florian Rupprecht [aut, cre] , Kun Ren [ctb], Jeroen Ooms [ctb]
Maintainer: Florian Rupprecht <floruppr@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-11 08:00:06 UTC

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Sun, 10 Mar 2024

New package multilevelcoda with initial version 1.2.3
Package: multilevelcoda
Title: Estimate Bayesian Multilevel Models for Compositional Data
Version: 1.2.3
Date: 2024-3-6
URL: https://florale.github.io/multilevelcoda/, https://github.com/florale/multilevelcoda
BugReports: https://github.com/florale/multilevelcoda/issues
Description: Implement Bayesian Multilevel Modelling for compositional data in a multilevel framework. Compute multilevel compositional data and Isometric log ratio (ILR) at between and within-person levels, fit Bayesian multilevel models for compositional predictors and outcomes, and run post-hoc analyses such as isotemporal substitution models.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, data.table (>= 1.12.0), compositions, brms, bayestestR, extraoperators, ggplot2, emmeans, insight, foreach, doFuture, abind, graphics, shiny, plotly, hrbrthemes, bslib, DT, loo, bayesplot
Suggests: testthat (>= 3.0.0), covr, withr, knitr, rmarkdown, lme4, cmdstanr (>= 0.5.0)
Additional_repositories: https://mc-stan.org/r-packages/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-10 19:54:05 UTC; florale
Author: Flora Le [aut, cre] , Joshua F. Wiley [aut]
Maintainer: Flora Le <13florale@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-10 23:00:03 UTC

More information about multilevelcoda at CRAN
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Sat, 09 Mar 2024

New package rsleep with initial version 1.0.12
Package: rsleep
Title: Analysis of Sleep Data
Version: 1.0.12
Description: A toolbox for sleep data processing, visualization and analysis. Tools for state of the art automatic sleep stages scoring.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://rsleep.org/, https://github.com/boupetch/rsleep
BugReports: https://github.com/boupetch/rsleep/issues
Imports: abind, dplyr, edfReader, ggplot2, jsonlite, psd, signal, xml2, readr, xts
Suggests: caret, gridExtra, keras, knitr, reshape2, rmarkdown, testthat, RSQLite, DBI, SleepCycles, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-09 15:17:50 UTC; paul
Author: Paul Bouchequet [aut, cre]
Maintainer: Paul Bouchequet <paul.bouchequet@frenchkpi.com>
Repository: CRAN
Date/Publication: 2024-03-09 23:30:06 UTC

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New package morepls with initial version 0.1
Package: morepls
Title: Interpretation Tools for Partial Least Squares Regression
Version: 0.1
Imports: pls, ggplot2, ggrepel, rlang
Suggests: plsVarSel, ggforce
Description: Various kinds of plots (observations, variables, correlations, weights, regression coefficients and Variable Importance in the Projection) and aids to interpretation (coefficients, Q2, correlations, redundancies) for partial least squares regressions computed with the 'pls' package, following Tenenhaus (1998, ISBN:2-7108-0735-1).
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-08 22:23:19 UTC; nicolas
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>
Repository: CRAN
Date/Publication: 2024-03-09 13:30:02 UTC

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New package HMC with initial version 1.0
Package: HMC
Title: High Dimensional Mean Comparison with Projection and Cross-Fitting
Version: 1.0
Date: 2024-03-04
Description: Provides interpretable High-dimensional Mean Comparison methods (HMC). For example, users can use them to assess the difference in gene expression between two treatment groups. It is not a gene-by-gene comparison. Instead, we focus on the interplay between features and are interested in those that are predictive of the group label. The methods are valid frequentist tests and give sparse estimates indicating which features contribute to the test results.
License: GPL-2
Imports: glmnet, irlba, PMA, MASS, stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-08 20:57:22 UTC; tianyuzhang
Author: Tianyu Zhang [aut, cre, cph]
Maintainer: Tianyu Zhang <tianyuz3@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2024-03-09 13:30:09 UTC

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New package SouthParkRshiny with initial version 1.0.0
Package: SouthParkRshiny
Title: Data and 'Shiny' Application for the Show 'SouthPark'
Version: 1.0.0
Description: Ratings, votes, swear words and sentiments are analysed for the show 'SouthPark' through a 'Shiny' application after web scraping from 'IMDB' and the website <https://southpark.fandom.com/wiki/South_Park_Archives>.
License: MIT + file LICENSE
URL: https://github.com/Amalan-ConStat/SouthParkRshiny,https://amalan-con-stat.shinyapps.io/SouthParkRshiny/
BugReports: https://github.com/Amalan-ConStat/SouthParkRshiny/issues
Depends: R (>= 2.10)
Imports: box, bslib, config (>= 0.3.2), ggplot2, ggpubr, golem (>= 0.4.1), kableExtra, knitr, shiny (>= 1.8.0), shinydashboard
Suggests: gridlayout
Additional_repositories: https://amalan-constat.github.io/drat/
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-03-09 03:24:41 UTC; amala
Author: Amalan Mahendran [cre, aut]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-09 11:10:08 UTC

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New package niarules with initial version 0.1.0
Package: niarules
Title: Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
Version: 0.1.0
Classification/ACM: G.4, H.2.8
Description: Framework is devoted to mining numerical association rules through the utilization of nature-inspired algorithms for optimization. Drawing inspiration from the 'NiaARM' 'Python' and the 'NiaARM' 'Julia' packages, this repository introduces the capability to perform numerical association rule mining in the R programming language. Fister Jr., Iglesias, Galvez, Del Ser, Osaba and Fister (2018) <doi:10.1007/978-3-030-03493-1_9>.
URL: https://github.com/firefly-cpp/niarules
BugReports: https://github.com/firefly-cpp/niarules/issues
Depends: R (>= 4.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, utils
Suggests: testthat
NeedsCompilation: no
Packaged: 2024-03-09 07:03:09 UTC; max
Author: Iztok Jr. Fister [aut, cre, cph]
Maintainer: Iztok Jr. Fister <iztok@iztok.space>
Repository: CRAN
Date/Publication: 2024-03-09 11:30:02 UTC

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New package bandicoot with initial version 1.0.0
Package: bandicoot
Title: Light-Weight 'python'-Like Object-Oriented System
Version: 1.0.0
Description: A light-weight object-oriented system with 'python'-like syntax which supports multiple inheritances and incorporates a 'python'-like method resolution order.
License: MIT + file LICENSE
URL: https://tengmcing.github.io/bandicoot/, https://github.com/TengMCing/bandicoot/
BugReports: https://github.com/TengMCing/bandicoot/issues
Encoding: UTF-8
Imports: cli, utils
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-09 01:21:22 UTC; patrickli
Author: Weihao Li [aut, cre, cph]
Maintainer: Weihao Li <llreczx@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-09 11:10:02 UTC

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New package tsmethods with initial version 1.0.0
Package: tsmethods
Title: Time Series Methods
Version: 1.0.0
Date: 2024-03-03
Maintainer: Alexios Galanos <alexios@4dscape.com>
Description: Generic methods for use in a time series probabilistic framework, allowing for a common calling convention across packages. Additional methods for time series prediction ensembles and probabilistic plotting of predictions is included. A more detailed description is available at <https://www.nopredict.com/packages/tsmethods> which shows the currently implemented methods in the 'tsmodels' framework.
License: GPL-2
Imports: methods, zoo, xts
Encoding: UTF-8
URL: https://www.nopredict.com/packages/tsmethods, https://github.com/tsmodels/tsmethods
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-03-08 18:48:29 UTC; alexios
Author: Alexios Galanos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-03-09 11:00:02 UTC

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New package MSBStatsData with initial version 0.0.2
Package: MSBStatsData
Title: Data Sets for Courses at the Münster School of Business
Version: 0.0.2
Description: Provides sample data sets that are used in statistics and data science courses at the Münster School of Business. The datasets refer to different business topics but also other domains, e.g. sports, traffic, etc.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: tibble
NeedsCompilation: no
Packaged: 2024-03-08 11:16:59 UTC; michael
Author: Michael Buecker [aut, cre] , Niels Schluesener [aut]
Maintainer: Michael Buecker <michael.buecker@fh-muenster.de>
Repository: CRAN
Date/Publication: 2024-03-09 10:50:02 UTC

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Fri, 08 Mar 2024

New package nycflights23 with initial version 0.1.0
Package: nycflights23
Title: Flights and Other Useful Metadata for NYC Outbound Flights in 2023
Version: 0.1.0
Description: Updating the now 10-year-old 'nycflights13' data package. It contains information about all flights that departed from the three main New York City airports in 2023 and metadata on airlines, airports, weather, and planes.
License: CC0
URL: https://moderndive.github.io/nycflights23/, https://github.com/moderndive/nycflights23/
BugReports: https://github.com/moderndive/nycflights23/issues/
Depends: R (>= 3.5.0)
Suggests: anyflights
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
NeedsCompilation: no
Packaged: 2024-03-06 16:53:04 UTC; chester
Author: Chester Ismay [aut, cre] , Simon P. Couch [aut], Hadley Wickham [aut], RStudio [cph], Jay Lee [ctb], Dennis Irorere [ctb]
Maintainer: Chester Ismay <chester.ismay@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-09 01:30:02 UTC

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New package UHM with initial version 0.3.0
Package: UHM
Title: Unified Zero-Inflated Hurdle Regression Models
Version: 0.3.0
Maintainer: Taban Baghfalaki <t.baghfalaki@gmail.com>
URL: https://github.com/tbaghfalaki/UHM
Description: Run a Gibbs sampler for hurdle models to analyze data showing an excess of zeros, which is common in zero-inflated count and semi-continuous models. The package includes the hurdle model under Gaussian, Gamma, inverse Gaussian, Weibull, Exponential, Beta, Poisson, negative binomial, logarithmic, Bell, generalized Poisson, and binomial distributional assumptions. The models described in Ganjali et al. (2024).
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
Imports: stats, jagsUI, numbers
Depends: R (>= 4.0.0)
SystemRequirements: JAGS 4.x.y
NeedsCompilation: no
Packaged: 2024-03-08 09:48:28 UTC; taban
Author: Taban Baghfalaki [cre, aut] , Mojtaba Ganjali [aut] , Narayanaswamy Balakrishnan [aut]
Repository: CRAN
Date/Publication: 2024-03-08 21:20:02 UTC

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New package multipleOutcomes with initial version 0.2
Package: multipleOutcomes
Title: Asymptotic Covariance Matrix of Regression Models for Multiple Outcomes
Version: 0.2
Description: Regression models can be fitted for multiple outcomes simultaneously. This package computes estimates of parameters across fitted models and returns the matrix of asymptotic covariance. Various applications of this package, including CUPED (Controlled Experiments Utilizing Pre-Experiment Data), multiple comparison adjustment, are illustrated.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, mvtnorm, tidyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-08 05:23:37 UTC; zhhan
Author: Han Zhang [aut, cre]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-08 21:10:02 UTC

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New package fillpattern with initial version 1.0.0
Package: fillpattern
Title: Patterned Fills for 'ggplot2' and 'grid' Graphics
Version: 1.0.0
Date: 2024-03-07
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Description: Adds distinctive yet unobtrusive geometric patterns where solid color fills are normally used. Patterned figures look just as professional when viewed by colorblind readers or when printed in black and white. The dozen included patterns can be customized in terms of scale, rotation, color, fill, line type, and line width. Compatible with the 'ggplot2' package as well as 'grid' graphics.
URL: https://cmmr.github.io/fillpattern/, https://github.com/cmmr/fillpattern
BugReports: https://github.com/cmmr/fillpattern/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: ggplot2 (>= 3.5), grDevices, grid (>= 4.2), methods, utils
Suggests: ragg, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-03-08 00:29:05 UTC; Daniel
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Repository: CRAN
Date/Publication: 2024-03-08 21:10:05 UTC

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New package simCAT with initial version 1.0.0
Package: simCAT
Title: Implements Computerized Adaptive Testing Simulations
Version: 1.0.0
Maintainer: Alexandre Jaloto <alexandrejaloto@gmail.com>
Description: Computerized Adaptive Testing simulations with dichotomous and polytomous items. Selects items with Maximum Fisher Information method or randomly, with or without constraints (content balancing and item exposure control). Evaluates the simulation results in terms of precision, item exposure, and test length. Inspired on Magis & Barrada (2017) <doi:10.18637/jss.v076.c01>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, mirt, mirtCAT, shiny, shinycssloaders
URL: https://github.com/alexandrejaloto/simCAT
NeedsCompilation: no
Packaged: 2024-03-08 00:24:04 UTC; alexa
Author: Alexandre Jaloto [aut, cre] , Ricardo Primi [ths]
Repository: CRAN
Date/Publication: 2024-03-08 21:00:02 UTC

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New package rid with initial version 0.0.1
Package: rid
Title: Multiple Change-Point Detection in Multivariate Time Series
Version: 0.0.1
Description: Provides efficient functions for detecting multiple change points in multidimensional time series. The models can be piecewise constant or polynomial. Adaptive threshold selection methods are available, see Fan and Wu (2024) <arXiv:2403.00600>.
License: GPL-3
Encoding: UTF-8
Depends: purrr, CircularSilhouette, pracma
NeedsCompilation: yes
LinkingTo: Rcpp, RcppEigen
Packaged: 2024-03-07 17:39:47 UTC; fanxinyuan
Author: Xinyuan Fan [aut, cre, cph], Weichi Wu [aut]
Maintainer: Xinyuan Fan <fxy22@mails.tsinghua.edu.cn>
Repository: CRAN
Date/Publication: 2024-03-08 20:50:02 UTC

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New package omock with initial version 0.1.0
Package: omock
Title: Creation of Mock Observational Medical Outcomes Partnership Common Data Model
Version: 0.1.0
Maintainer: Mike Du <mike.du@ndorms.ox.ac.uk>
Description: Creates mock data for testing and package development for the Observational Medical Outcomes Partnership common data model. The package offers functions crafted with pipeline-friendly implementation, enabling users to effortlessly include only the necessary tables for their testing needs.
License: Apache License (>= 2)
URL: https://oxford-pharmacoepi.github.io/omock/
Depends: R (>= 2.10)
Imports: cli, dplyr, lubridate, methods, omopgenerics (>= 0.0.3), purrr, rlang, snakecase, stats, stringr
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-04 12:52:29 UTC; miked
Author: Mike Du [aut, cre] , Marti Catala [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Repository: CRAN
Date/Publication: 2024-03-08 21:00:05 UTC

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New package EBASE with initial version 1.0.0
Package: EBASE
Title: Estuarine Bayesian Single-Station Estimation Method for Ecosystem Metabolism
Version: 1.0.0
Date: 2024-03-06
Description: Estimate ecosystem metabolism in a Bayesian framework for individual water quality monitoring stations with continuous dissolved oxygen time series. A mass balance equation is used that provides estimates of parameters for gross primary production, respiration, and gas exchange. Methods adapted from Grace et al. (2015) <doi:10.1002/lom3.10011> and Wanninkhof (2014) <doi:10.4319/lom.2014.12.351>.
Depends: R (>= 3.5)
Imports: dplyr, foreach, ggplot2 (>= 3.4.0), lubridate, R2jags (>= 0.6.1), rjags (>= 4.10), tidyr, truncnorm, zoo
Suggests: testthat (>= 3.0.0), doParallel, knitr, rmarkdown, covr
License: CC0
SystemRequirements: JAGS 4.x.y (https://mcmc-jags.sourceforge.net)
Encoding: UTF-8
URL: https://fawda123.github.io/EBASE/, https://github.com/fawda123/EBASE/
BugReports: https://github.com/fawda123/EBASE/issues
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-07 00:31:58 UTC; mbeck
Author: Marcus Beck [aut, cre] , Maria Herrmann [aut], Jill Arriola [aut] , Raymond Najjar [aut]
Maintainer: Marcus Beck <mbeck@tbep.org>
Repository: CRAN
Date/Publication: 2024-03-08 20:30:06 UTC

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New package detectR with initial version 0.3.0
Package: detectR
Title: Change Point Detection
Version: 0.3.0
Maintainer: Changryong Baek <crbaek@skku.edu>
Description: Time series analysis of network connectivity. Detects and visualizes change points between networks. Methods included in the package are discussed in depth in Baek, C., Gates, K. M., Leinwand, B., Pipiras, V. (2021) "Two sample tests for high-dimensional auto-covariances" <doi:10.1016/j.csda.2020.107067> and Baek, C., Gampe, M., Leinwand B., Lindquist K., Hopfinger J. and Gates K. (2023) “Detecting functional connectivity changes in fMRI data” <doi:10.1007/s11336-023-09908-7>.
License: Unlimited
Encoding: UTF-8
LazyData: true
Imports: signal, lavaan, doParallel, glasso, LogConcDEAD, foreach, parallel
Depends: R (>= 2.10)
URL: https://github.com/crbaek/detectR
NeedsCompilation: no
Packaged: 2024-03-07 06:19:59 UTC; crbaek
Author: Changryong Baek [aut, cre], Mattew Gampe [aut], Kathleen M. Gates [aut], Seok-Oh Jeong [aut], Vladas Pipiras [aut]
Repository: CRAN
Date/Publication: 2024-03-08 20:30:02 UTC

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New package bibliorefer with initial version 0.1.0
Package: bibliorefer
Title: Generator of Main Scientific References
Version: 0.1.0
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>
Description: Generates a list, with a size defined by the user, containing the main scientific references and the frequency distribution of authors and journals in the list obtained. The database is a dataframe with academic production metadata made available by bibliographic collections such as Scopus, Web of Science, etc. The temporal evolution of scientific production on a given topic is presented and ordered lists of articles are constructed by number of citations and of authors and journals by level of productivity. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.
License: GPL-3
Encoding: UTF-8
Imports: stats
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-03-07 14:40:01 UTC; marcio
Author: Marcio Eustaquio [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-08 20:40:09 UTC

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New package panelSUR with initial version 0.1.0
Package: panelSUR
Title: Two-Way Error Component SUR Systems Estimation on Unbalanced Panel Data
Version: 0.1.0
Description: Generalized Least Squares (GLS) estimation of Seemingly Unrelated Regression (SUR) systems on unbalanced panel in the one/two-way cases also taking into account the possibility of cross equation restrictions. Methodological details can be found in Biørn (2004) <doi:10.1016/j.jeconom.2003.10.023> and Platoni, Sckokai, Moro (2012) <doi:10.1080/07474938.2011.607098>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: MASS, formula.tools, plm, matlib, fastmatrix
NeedsCompilation: no
Packaged: 2024-03-06 16:51:05 UTC; laura.barbieri
Author: Laura Barbieri [aut, cre], Silvia Platoni [aut]
Maintainer: Laura Barbieri <laura.barbieri@unicatt.it>
Repository: CRAN
Date/Publication: 2024-03-08 09:20:02 UTC

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New package lmap with initial version 0.1.2
Package: lmap
Title: Logistic Mapping
Version: 0.1.2
Maintainer: Mark de Rooij <rooijm@fsw.leidenuniv.nl>
Description: Set of tools for mapping of categorical response variables based on principal component analysis (pca) and multidimensional unfolding (mdu).
Depends: R (>= 3.5.0), ggplot2, ggrepel, ggforce, fmdu
Imports: nnet, stats, magrittr, dplyr, MASS, Rfast
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Author: Mark de Rooij [aut, cre, cph], Frank Busing [aut, cph], Juan Claramunt Gonzalez [aut]
NeedsCompilation: yes
Packaged: 2024-03-05 10:26:10 UTC; prueba
Repository: CRAN
Date/Publication: 2024-03-08 09:10:08 UTC

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New package corrmeta with initial version 1.0.0
Package: corrmeta
Title: Correlated Meta-Analysis
Version: 1.0.0
Maintainer: Woo Seok Jung <jungw@wustl.edu>
Description: Performs Correlated Meta-Analysis ('corrmeta') across multiple OMIC scans, accounting for hidden non-independencies between elements of the scans due to overlapping samples, related samples, or other information. For more information about the method, refer to the paper Province MA. (2013) <doi:10.1142/9789814447973_0023>.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Suggests: testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, qpdf
Imports: dplyr, polycor, stats, tidyr, magrittr
NeedsCompilation: no
Packaged: 2024-03-06 17:16:33 UTC; rstudio
Author: Woo Seok Jung [aut, cre], Michael Province [aut, cph]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-03-08 09:30:05 UTC

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New package atime with initial version 2024.3.5
Package: atime
Title: Asymptotic Timing
Version: 2024.3.5
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
License: GPL-3
URL: https://github.com/tdhock/atime
BugReports: https://github.com/tdhock/atime/issues
Imports: data.table, bench, lattice, git2r, utils, stats, grDevices
Suggests: directlabels, ggplot2, testthat, knitr, markdown, stringi, re2, binsegRcpp, wbs, fpop, changepoint, LOPART, cumstats, PeakSegDisk, callr, readr, dplyr, tidyr, nc, RColorBrewer
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-05 21:24:06 UTC; th798
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>
Repository: CRAN
Date/Publication: 2024-03-08 09:10:11 UTC

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Thu, 07 Mar 2024

New package rcens with initial version 0.1.0
Package: rcens
Title: Generate Sample Censoring
Version: 0.1.0
Author: Daniel Saavedra [aut, cre, cph]
Maintainer: Daniel Saavedra <dlsaavedra@uc.cl>
Description: Provides functions to generate censored samples of type I, II and III, from any random sample generator. It also supply the option to create left and right censorship. Along with this, the generation of samples with interval censoring is in the testing phase, with two options of fixed length intervals and random lengths.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/dlsaavedra/rcens
BugReports: https://github.com/dlsaavedra/rcens/issues
NeedsCompilation: no
Packaged: 2024-03-06 15:15:58 UTC; danielsaavedramorales
Repository: CRAN
Date/Publication: 2024-03-07 10:50:02 UTC

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New package noisysbmGGM with initial version 0.1.2.3
Package: noisysbmGGM
Title: Noisy Stochastic Block Model for GGM Inference
Version: 0.1.2.3
Author: Valentin Kilian [aut, cre], Fanny Villers [aut]
Maintainer: Valentin Kilian <valentin.kilian@ens-rennes.fr>
Description: Greedy Bayesian algorithm to fit the noisy stochastic block model to an observed sparse graph. Moreover, a graph inference procedure to recover Gaussian Graphical Model (GGM) from real data. This procedure comes with a control of the false discovery rate. The method is described in the article "Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure" by Kilian, Rebafka, and Villers (2024) <arXiv:2402.19021>.
License: GPL-2
Encoding: UTF-8
Imports: parallel,ppcor,SILGGM,stats,igraph,huge,Rcpp,RcppArmadillo,MASS,RColorBrewer
Depends: R (>= 3.1.0)
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-06 14:56:30 UTC; vkilian
Repository: CRAN
Date/Publication: 2024-03-07 10:40:02 UTC

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New package MultiCOAP with initial version 1.1
Package: MultiCOAP
Title: High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model
Version: 1.1
Date: 2024-03-06
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
Description: We introduce factor models designed to jointly analyze high-dimensional count data from multiple studies by extracting study-shared and specified factors. Our factor models account for heterogeneous noises and overdispersion among counts with augmented covariates. We propose an efficient and speedy variational estimation procedure for estimating model parameters, along with a novel criterion for selecting the optimal number of factors and the rank of regression coefficient matrix. More details can be referred to Liu et al. (2024) <doi:10.48550/arXiv.2402.15071>.
License: GPL-3
Depends: irlba, R (>= 3.5.0)
Imports: MASS, Rcpp (>= 1.0.10)
URL: https://github.com/feiyoung/MultiCOAP
BugReports: https://github.com/feiyoung/MultiCOAP/issues
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-03-06 10:36:51 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2024-03-07 10:40:05 UTC

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New package movegroup with initial version 2024.03.05
Package: movegroup
Title: Visualizing and Quantifying Space Use Data for Groups of Animals
Version: 2024.03.05
Description: Offers an easy and automated way to scale up individual-level space use analysis to that of groups. Contains a function from the 'move' package to calculate a dynamic Brownian bridge movement model from movement data for individual animals, as well as functions to visualize and quantify space use for individuals aggregated in groups. Originally written with passive acoustic telemetry in mind, this package also provides functionality to account for unbalanced acoustic receiver array designs, and satellite tag data.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
Imports: ggplot2 (>= 3.3.5), utils, beepr (>= 1.3), dplyr (>= 1.0.8), ggmap (>= 3.0.0), knitr (>= 1.45), lubridate (>= 1.8.0), magick (>= 2.8.2), methods, move (>= 4.1.6), purrr (>= 1.0.2), raster (>= 3.5-15), rlang (>= 1.0.2), sf (>= 1.0-7), sp (>= 1.4-6), stars (>= 0.5-5), starsExtra (>= 0.2.7), stringr (>= 1.4.0), terra (>= 1.7-39), tidyr (>= 1.2.0), tidyselect (>= 1.2.0), viridis (>= 0.6.4)
Suggests: rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-05 17:31:10 UTC; simon
Author: Simon Dedman [aut, cre] , Maurits van Zinnicq Bergmann [aut]
Maintainer: Simon Dedman <simondedman@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-07 10:10:02 UTC

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New package iimi with initial version 1.0.2
Package: iimi
Title: Identifying Infection with Machine Intelligence
Version: 1.0.2
Description: A novel machine learning method for plant viruses diagnostic using genome sequencing data. This package includes three different machine learning models, random forest, XGBoost, and elastic net, to train and predict mapped genome samples. Mappability profile and unreliable regions are introduced to the algorithm, and users can build a mappability profile from scratch with functions included in the package. Plotting mapped sample coverage information is provided.
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Imports: GenomicAlignments, IRanges, Rsamtools, data.table, mltools, randomForest, xgboost, Biostrings, stats, MTPS, R.utils, caret, stringr, dplyr
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
License: MIT + file LICENSE
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-03-05 19:46:15 UTC; dsain
Author: Haochen Ning [aut], Ian Boyes [aut], Ibrahim Numanagic [aut] , Michael Rott [aut], Li Xing [aut] , Xuekui Zhang [aut, cre]
Maintainer: Xuekui Zhang <xuekui@uvic.ca>
Repository: CRAN
Date/Publication: 2024-03-07 10:30:02 UTC

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New package praatpicture with initial version 1.0.0
Package: praatpicture
Title: 'Praat Picture' Style Plots of Acoustic Data
Version: 1.0.0
Description: Quickly and easily generate plots of acoustic data aligned with transcriptions similar to those made in 'Praat' using either derived signals generated directly in R with 'wrassp' or imported derived signals from 'Praat'. Provides easy and fast out-of-the-box solutions but also a high extent of flexibility. Also provides options for embedding audio in figures and animating figures.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: av (>= 0.9.0), crayon (>= 1.5.2), emuR (>= 2.4.2), gifski (>= 1.12.0.2), graphics (>= 4.3.2), grDevices (>= 4.3.2), gsignal (>= 0.3.5), ipa (>= 0.1.0), phonTools (>= 0.2.2.2), rPraat (>= 1.3.2.1), rstudioapi (>= 0.15.0), soundgen (>= 2.6.2), tuneR (>= 1.4.6), utils (>= 4.3.2), wrassp (>= 1.0.4)
URL: https://github.com/rpuggaardrode/praatpicture
BugReports: https://github.com/rpuggaardrode/praatpicture/issues
NeedsCompilation: no
Packaged: 2024-02-24 12:54:36 UTC; rasmu
Author: Rasmus Puggaard-Rode [aut, cre, cph]
Maintainer: Rasmus Puggaard-Rode <r.puggaard@phonetik.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2024-03-07 09:40:02 UTC

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New package paleoDiv with initial version 0.2.0
Package: paleoDiv
Title: Extracting and Visualizing Paleobiodiversity
Version: 0.2.0
Description: Contains various tools for conveniently downloading and editing taxon-specific datasets from the Paleobiology Database <https://paleobiodb.org>, extracting information on abundance, temporal distribution of subtaxa and taxonomic diversity through deep time, and visualizing these data in relation to phylogeny and stratigraphy.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), strap, divDyn, ggplot2, knitr, rmarkdown
Depends: R (>= 2.10), ape, stringr
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-05 15:34:52 UTC; suirad
Author: Darius Nau [aut, cre]
Maintainer: Darius Nau <dariusnau@gmx.at>
Repository: CRAN
Date/Publication: 2024-03-07 09:50:02 UTC

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New package CBnetworkMA with initial version 0.1.0
Package: CBnetworkMA
Title: Contrast-Based Bayesian Network Meta Analysis
Version: 0.1.0
Maintainer: Garritt L. Page <page@stat.byu.edu>
Description: A function that facilitates fitting three types of models for contrast-based Bayesian Network Meta Analysis. The first model is that which is described in Lu and Ades (2006) <doi:10.1198/016214505000001302>. The other two models are based on a Bayesian nonparametric methods that permit ties when comparing treatment or for a treatment effect to be exactly equal to zero. In addition to the model fits, the package provides a summary of the interplay between treatment effects based on the procedure described in Barrientos, Page, and Lin (2023) <doi:10.48550/arXiv.2207.06561>.
Depends: R (>= 4.2)
Suggests: igraph
License: GPL
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-03-05 00:49:40 UTC; gpage
Author: Garritt L. Page [aut, cre, cph], Andres F. Barrientos [ctb, cph], S. McKay Curtis [ctb, cph], Radford M. Neal [ctb, cph]
Repository: CRAN
Date/Publication: 2024-03-07 09:40:14 UTC

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New package fmdu with initial version 0.1.1
Package: fmdu
Title: (Restricted) [external] Multidimensional Unfolding
Version: 0.1.1
Author: Frank Busing [aut, cre], Juan Claramunt Gonzalez [aut]
Maintainer: Frank Busing <busing@fsw.leidenuniv.nl>
Description: Functions for performing (external) multidimensional unfolding. Restrictions (fixed coordinates or model restrictions) are available for both row and column coordinates in all combinations.
Depends: R (>= 3.0.2)
Imports: smacof
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-02-21 08:32:18 UTC; prueba
Repository: CRAN
Date/Publication: 2024-03-07 07:30:02 UTC

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Wed, 06 Mar 2024

New package mappoly with initial version 0.4.1
Package: mappoly
Title: Genetic Linkage Maps in Autopolyploids
Version: 0.4.1
Maintainer: Marcelo Mollinari <mmollin@ncsu.edu>
Description: Construction of genetic maps in autopolyploid full-sib populations. Uses pairwise recombination fraction estimation as the first source of information to sequentially position allelic variants in specific homologous chromosomes. For situations where pairwise analysis has limited power, the algorithm relies on the multilocus likelihood obtained through a hidden Markov model (HMM). For more detail, please see Mollinari and Garcia (2019) <doi:10.1534/g3.119.400378> and Mollinari et al. (2020) <doi:10.1534/g3.119.400620>.
License: GPL-3
LazyData: TRUE
LazyDataCompression: xz
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 0.12.6), RcppParallel, RCurl, fields, ggpubr, ggsci, rstudioapi, plot3D, dplyr, crayon, cli, magrittr, reshape2, ggplot2, smacof, princurve, dendextend, vcfR, zoo, plotly
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
Encoding: UTF-8
Suggests: testthat, updog, fitPoly, polymapR, AGHmatrix, gatepoints, knitr, rmarkdown, stringr
URL: https://github.com/mmollina/MAPpoly
BugReports: https://github.com/mmollina/MAPpoly/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-06 03:10:56 UTC; mmollin
Author: Marcelo Mollinari [aut, cre] , Gabriel Gesteira [aut] , Cristiane Taniguti [aut] , Jeekin Lau [aut] , Oscar Riera-Lizarazu [ctb] , Guilhereme Pereira [ctb] , Augusto Garcia [ctb] , Zhao-Bang Zeng [ctb] , Katharine Preedy [ctb, cph] , Robert Gentleman [...truncated...]
Repository: CRAN
Date/Publication: 2024-03-06 17:20:02 UTC

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New package effClust with initial version 0.8.0
Package: effClust
Title: Calculate Effective Number of Clusters for a Linear Model
Version: 0.8.0
Description: Calculates the (approximate) effective number of clusters for a regression model, as described in Carter, Schnepel, and Steigerwald (2017) <doi:10.1162/REST_a_00639>. The effective number of clusters is a statistic to assess the reliability of asymptotic inference when sampling or treatment assignment is clustered. Methods are implemented for stats::lm(), plm::plm(), and fixest::feols(). There is also a formula method.
Depends: R (>= 3.5.0)
Suggests: plm, data.table
Imports: fixest, stats
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-04 16:31:26 UTC; joe
Author: Joe Ritter [aut, cre]
Maintainer: Joe Ritter <R-effclust@proton.me>
Repository: CRAN
Date/Publication: 2024-03-06 14:30:02 UTC

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Tue, 05 Mar 2024

New package multinma with initial version 0.6.1
Package: multinma
Title: Bayesian Network Meta-Analysis of Individual and Aggregate Data
Version: 0.6.1
Description: Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'.
License: GPL-3
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, stats, graphics, survival, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools (>= 2.0.0), Rdpack (>= 0.7), tibble (>= 2.1.3), dplyr (>= 1.0.0), rlang, purrr, forcats, glue, randtoolbox, copula, tidyr (>= 1.0.0), stringr, Matrix, igraph, ggraph, ggplot2 (>= 3.3.0), ggdist (>= 2.1.1), truncdist, bayesplot
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0)
SystemRequirements: GNU make
Suggests: testthat (>= 2.1.0), withr, knitr, rmarkdown, parallel, R.rsp, rprojroot, loo (>= 2.0.0), logitnorm, crayon, tidygraph, pkgdown, splines2 (>= 0.5.0), flexsurv, rstpm2
URL: https://dmphillippo.github.io/multinma/, https://github.com/dmphillippo/multinma
BugReports: https://github.com/dmphillippo/multinma/issues
VignetteBuilder: knitr, R.rsp
NeedsCompilation: yes
Packaged: 2024-03-05 12:56:33 UTC; dp14189
Author: David M. Phillippo [aut, cre]
Maintainer: David M. Phillippo <david.phillippo@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2024-03-06 01:00:05 UTC

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New package Rquake with initial version 2.5-1
Package: Rquake
Title: Seismic Hypocenter Determination
Version: 2.5-1
Date: 2024-02-22
Depends: R (>= 3.5.0)
Imports: RPMG, RSEIS, GEOmap, MBA, minpack.lm
Author: Jonathan M. Lees [aut, cre], Baptiste Auguie [ctb]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>
Description: Non-linear inversion for hypocenter estimation and analysis of seismic data collected continuously, or in trigger mode. The functions organize other functions from 'RSEIS' and 'GEOmap' to help researchers pick, locate, and store hypocenters for detailed seismic investigation. Error ellipsoids and station influence are estimated via jackknife analysis. References include Iversen, E. S., and J. M. Lees (1996)<doi:10.1785/BSSA0860061853>.
License: GPL (>= 2)
Packaged: 2024-03-05 15:19:18 UTC; lees
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-03-05 17:00:24 UTC

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New package opinAr with initial version 1.0.0
Package: opinAr
Title: Argentina's Public Opinion Toolbox
Version: 1.0.0
Description: A toolbox for working with public opinion data from Argentina. It facilitates access to microdata and the calculation of indicators of the Trust in Government Index (ICG), prepared by the Torcuato Di Tella University. Although we will try to document everything possible in English, by its very nature Spanish will be the main language. El paquete fue pensado como una caja de herramientas para el trabajo con datos de opinión pública de Argentina. El mismo facilita el acceso a los microdatos y el cálculos de indicadores del Índice de Confianza en el Gobierno (ICG), elaborado por la Universidad Torcuato Di Tella.
License: MIT + file LICENSE
URL: https://github.com/PoliticaArgentina/opinAr
BugReports: https://github.com/PoliticaArgentina/opinAr/issues
Encoding: UTF-8
Imports: haven, janitor, rvest, glue, dplyr, purrr, stringr, magrittr, assertthat, rlang, sjPlot, gt, lubridate
Depends: R (>= 3.6)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-02 22:53:49 UTC; UsuarioFundar
Author: Camila Higa [aut, cph], Juan Pablo Ruiz Nicolini [aut, cph, cre]
Maintainer: Juan Pablo Ruiz Nicolini <juanpabloruiznicolini@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:10:02 UTC

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New package KOR.addrlink with initial version 1.0.1
Package: KOR.addrlink
Title: Matching Address Data to Reference Index
Version: 1.0.1
Date: 2024-03-02
Author: Daniel Schuermann [aut, cre]
Maintainer: Daniel Schuermann <d.schuermann@2718282.net>
Depends: R (>= 3.4)
Imports: stringdist, stringi
LazyData: true
Description: Matches a data set with semi-structured address data, e.g., street and house number as a concatenated string, wrongly spelled street names or non-existing house numbers to a reference index. The methods are specifically designed for German municipalities ('KOR'-community) and German address schemes.
License: GPL-3
Encoding: UTF-8
URL: https://git-kor.stadtdo.de
BugReports: https://git-kor.stadtdo.de/stadt-dortmund/adressdaten/-/issues
NeedsCompilation: no
Packaged: 2024-03-02 14:22:21 UTC; scd01
Repository: CRAN
Date/Publication: 2024-03-05 11:10:13 UTC

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New package heterometa with initial version 0.2
Package: heterometa
Title: Convert Various Meta-Analysis Heterogeneity Measures
Version: 0.2
Date: 2024-02-28
Description: Published meta-analyses routinely present one of the measures of heterogeneity introduced in Higgins and Thompson (2002) <doi:10.1002/sim.1186>. For critiquing articles it is often better to convert to another measure. Some conversions are provided here and confidence intervals are also available.
Depends: R (>= 3.5.0)
Imports: Rdpack (>= 0.7),mathjaxr (>= 0.8-3)
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-03-03 11:59:51 UTC; MichaelUser
Author: Michael Dewey [aut, cre]
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>
Repository: CRAN
Date/Publication: 2024-03-05 11:10:05 UTC

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New package ConsensusClustering with initial version 1.2.0
Package: ConsensusClustering
Title: Consensus Clustering
Version: 1.2.0
Description: Clustering, or cluster analysis, is a widely used technique in bioinformatics to identify groups of similar biological data points. Consensus clustering is an extension to clustering algorithms that aims to construct a robust result from those clustering features that are invariant under different sources of variation. For the reference, please cite the following paper: Yousefi, Melograna, et. al., (2023) <doi:10.3389/fmicb.2023.1170391>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: assertthat, dplyr, igraph, cluster, mvtnorm, utils, graphics, stats
NeedsCompilation: no
Packaged: 2024-03-03 16:29:19 UTC; behnam
Author: Behnam Yousefi [aut, cre, cph]
Maintainer: Behnam Yousefi <yousefi.bme@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:20:03 UTC

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New package cheapr with initial version 0.1.0
Package: cheapr
Title: Simple Functions to Save Time and Memory
Version: 0.1.0
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: collapse (>= 2.0.0)
Suggests: bench, testthat (>= 3.0.0), vctrs
LinkingTo: cpp11
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-03-02 14:59:38 UTC; Nmc5
Author: Nick Christofides [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-05 11:10:06 UTC

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New package arcgis with initial version 0.1.0
Package: arcgis
Title: ArcGIS Location Services Meta-Package
Version: 0.1.0
Description: Provides easy installation and loading of core ArcGIS location services packages 'arcgislayers' and 'arcgisutils'. Enabling developers to interact with spatial data and services from 'ArcGIS Online', 'ArcGIS Enterprise', and 'ArcGIS Platform'. Learn more about the 'arcgis' meta-package at <https://r.esri.com/r-bridge-site/>.
Language: en
License: Apache License (>= 2)
Encoding: UTF-8
Imports: arcgislayers (>= 0.2.0), arcgisutils (>= 0.2.0), cli, httr2 (>= 1.0.0), utils
Suggests: arcpbf, testthat (>= 3.0.0)
URL: https://github.com/R-ArcGIS/arcgis/, https://r.esri.com/arcgis/
NeedsCompilation: no
Packaged: 2024-03-02 17:52:05 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:10:10 UTC

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New package tidyfinance with initial version 0.1.0
Package: tidyfinance
Title: Tidy Finance Helper Functions
Version: 0.1.0
Description: Helper functions for empirical research in financial economics, addressing a variety of topics covered in Scheuch, Voigt, and Weiss (2023) <doi:10.1201/b23237>. The package is designed to provide shortcuts for issues extensively discussed in the book, facilitating easier application of its concepts. For more information and resources related to the book, visit <https://www.tidy-finance.org/r/index.html>.
License: MIT + file LICENSE
URL: https://www.tidy-finance.org/r/, https://github.com/tidy-finance/r-tidyfinance
BugReports: https://github.com/tidy-finance/r-tidyfinance/issues
Depends: R (>= 4.1)
Imports: dplyr (>= 1.1.4), rlang (>= 1.1.3), tidyr (>= 1.3.0), purrr (>= 1.0.2), lubridate (>= 1.9.3), tibble (>= 3.2.1), lifecycle
Suggests: frenchdata (>= 0.2.0), readxl (>= 1.4.2), RPostgres (>= 1.4.5), dbplyr (>= 2.3.2), DBI (>= 1.1.0), testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-01 20:17:12 UTC; krise
Author: Christoph Scheuch [aut, cre] , Stefan Voigt [aut] , Patrick Weiss [aut]
Maintainer: Christoph Scheuch <christoph.scheuch@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 10:40:02 UTC

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New package teal.modules.general with initial version 0.3.0
Package: teal.modules.general
Title: General Modules for 'teal' Applications
Version: 0.3.0
Date: 2024-03-01
Description: Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.
License: Apache License 2.0
URL: https://insightsengineering.github.io/teal.modules.general/, https://github.com/insightsengineering/teal.modules.general/
BugReports: https://github.com/insightsengineering/teal.modules.general/issues
Depends: ggmosaic (>= 0.3.0), ggplot2 (>= 3.4.0), R (>= 3.6), shiny (>= 1.6.0), teal (>= 0.15.1), teal.transform (>= 0.5.0)
Imports: checkmate (>= 2.1.0), dplyr (>= 1.0.5), DT (>= 0.13), forcats (>= 1.0.0), grid, logger (>= 0.2.0), scales, shinyjs, shinyTree (>= 0.2.8), shinyvalidate, shinyWidgets (>= 0.5.1), stats, stringr (>= 1.4.1), teal.code (>= 0.5.0), teal.data (>= 0.5.0), teal.logger (>= 0.1.1), teal.reporter (>= 0.3.0), teal.widgets (>= 0.4.0), tern (>= 0.9.3), tibble (>= 2.0.0), tidyr (>= 0.8.3), tools, utils
Suggests: broom (>= 0.7.10), colourpicker, ggExtra, ggpmisc (>= 0.4.3), ggpp, ggrepel, goftest, gridExtra, htmlwidgets, jsonlite, knitr (>= 1.42), lattice (>= 0.18-4), MASS, nestcolor (>= 0.1.0), rlang (>= 1.0.0), rtables (>= 0.6.6), sparkline, testthat (>= 3.0.4)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-01 20:47:00 UTC; unardid
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Ondrej Slama [ctb], Maciej Nasinski [aut], Konrad Pagacz [aut], Nikolas Burkoff [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>
Repository: CRAN
Date/Publication: 2024-03-05 10:50:02 UTC

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New package rcpptimer with initial version 1.0.0
Package: rcpptimer
Title: 'Rcpp' Tic-Toc Timer with 'OpenMP' Support
Version: 1.0.0
Date: 2024-02-29
Description: Provides 'Rcpp' bindings for 'cpptimer', a simple tic-toc timer class for benchmarking 'C++' code <https://github.com/BerriJ/cpptimer>. It's not just simple, it's blazing fast! This sleek tic-toc timer class supports overlapping timers as well as 'OpenMP' parallelism <https://www.openmp.org/>. It boasts a microsecond-level time resolution. We did not find any overhead of the timer itself at this resolution. Results (with summary statistics) are automatically passed back to 'R' as a data frame.
URL: https://rcpptimer.berrisch.biz
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: yes
Packaged: 2024-03-01 20:00:04 UTC; vscode
Author: Jonathan Berrisch [aut, cre]
Maintainer: Jonathan Berrisch <Jonathan@Berrisch.biz>
Repository: CRAN
Date/Publication: 2024-03-05 10:40:06 UTC

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New package quollr with initial version 0.1.1
Package: quollr
Title: Visualising How Nonlinear Dimension Reduction Warps Your Data
Version: 0.1.1
Description: To construct a model in 2D space from 2D embedding data and then lift it to the high-dimensional space. Additionally, it provides tools to visualize the model in 2D space and to overlay the fitted model on data using the tour technique. Furthermore, it facilitates the generation of summaries of high-dimensional distributions.
License: MIT + file LICENSE
URL: https://github.com/JayaniLakshika/quollr
BugReports: https://github.com/JayaniLakshika/quollr/issues
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, grid, interp (>= 1.1-6), langevitour, proxy, rlang, rsample, stats, tibble, tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr, umap
VignetteBuilder: knitr
Language: en-GB
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-02 00:11:03 UTC; jpiy0001
Author: Jayani P.G. Lakshika [aut, cre] , Dianne Cook [aut] , Paul Harrison [aut] , Michael Lydeamore [aut] , Thiyanga S. Talagala [aut]
Maintainer: Jayani P.G. Lakshika <jayanilakshika76@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:00:02 UTC

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New package pldamixture with initial version 0.1.0
Package: pldamixture
Title: Post-Linkage Data Analysis Based on Mixture Modelling
Version: 0.1.0
Depends: R (>= 3.5.0)
Imports: stats, survival
Description: Perform inference in the secondary analysis setting with linked data potentially containing mismatch errors. Only the linked data file may be accessible and information about the record linkage process may be limited or unavailable. Implements the 'General Framework for Regression with Mismatched Data' developed by Slawski et al. (2023) <arXiv:2306.00909>. The framework uses a mixture model for pairs of linked records whose two components reflect distributions conditional on match status, i.e., correct match or mismatch. Inference is based on composite likelihood and the Expectation-Maximization (EM) algorithm. The package currently supports Cox Proportional Hazards Regression (right-censored data only) and Generalized Linear Regression Models (Gaussian, Gamma, Poisson, and Logistic (binary models only)). Information about the underlying record linkage process can be incorporated into the method if available (e.g., assumed overall mismatch rate, safe matches, predictors of match [...truncated...]
License: GPL-2
LazyData: true
Encoding: UTF-8
Maintainer: Priyanjali Bukke <pbukke@gmu.edu>
URL: https://github.com/bpriy/pldamixture
NeedsCompilation: no
Packaged: 2024-03-01 19:15:06 UTC; Sono
Author: Priyanjali Bukke [aut, cre], Zhenbang Wang [aut], Martin Slawski [aut] , Brady T. West [aut], Emanuel Ben-David [aut], Guoqing Diao [aut]
Repository: CRAN
Date/Publication: 2024-03-05 10:30:02 UTC

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New package DiscreteDatasets with initial version 0.1.0
Package: DiscreteDatasets
Title: Example Data Sets for Use with Discrete Statistical Tests
Version: 0.1.0
Date: 2024-03-01
Maintainer: Florian Junge <diso.fbmn@h-da.de>
Description: Provides several data sets for use with discrete statistical tests and discrete multiple testing procedures. Some of them are also available as a four-column version, so that each row represents a 2x2 table.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: checkmate
URL: https://github.com/DISOhda/DiscreteDatasets
BugReports: https://github.com/DISOhda/DiscreteDatasets/issues
NeedsCompilation: no
Packaged: 2024-03-01 20:46:56 UTC; Florian
Author: Christina Kihn [aut], Sebastian Doehler [aut], Florian Junge [cre, aut]
Repository: CRAN
Date/Publication: 2024-03-05 10:50:06 UTC

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New package boostrq with initial version 1.0.0
Package: boostrq
Title: Boosting Regression Quantiles
Version: 1.0.0
Description: Boosting Regression Quantiles is a component-wise boosting algorithm, that embeds all boosting steps in the well-established framework of quantile regression. It is initialized with the corresponding quantile, uses a quantile-specific learning rate, and uses quantile regression as its base learner. The package implements this algorithm and allows cross-validation and stability selection.
License: GPL (>= 2)
URL: https://github.com/stefanlinner/boostrq
BugReports: https://github.com/stefanlinner/boostrq/issues
Encoding: UTF-8
Depends: mboost, stabs, stats, parallel
Imports: quantreg, checkmate
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-03-02 08:53:32 UTC; stefa
Author: Stefan Linner [aut, cre, cph]
Maintainer: Stefan Linner <stefan.linner97@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:00:06 UTC

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New package BElikelihood with initial version 1.1
Package: BElikelihood
Title: Likelihood Method for Evaluating Bioequivalence
Version: 1.1
Date: 2024-02-29
Maintainer: Liping Du <liping.du@vumc.org>
Description: A likelihood method is implemented to present evidence for evaluating bioequivalence (BE). The functions use bioequivalence data [area under the blood concentration-time curve (AUC) and peak concentration (Cmax)] from various crossover designs commonly used in BE studies including a fully replicated, a partially replicated design, and a conventional 2x2 crossover design. They will calculate the profile likelihoods for the mean difference, total standard deviation ratio, and within subject standard deviation ratio for a test and a reference drug. A plot of a standardized profile likelihood can be generated along with the maximum likelihood estimate and likelihood intervals, which present evidence for bioequivalence. See Liping Du and Leena Choi (2015) <doi:10.1002/pst.1661>.
License: GPL (>= 3)
Imports: ggplot2, mvtnorm
Suggests: knitr, nlme, rmarkdown
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-01 00:46:33 UTC; beckca
Author: Liping Du [aut, cre] , Leena Choi [aut] , Cole Beck [aut]
Repository: CRAN
Date/Publication: 2024-03-05 10:30:05 UTC

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Mon, 04 Mar 2024

New package pageviews with initial version 0.6.0
Package: pageviews
Title: An API Client for Wikimedia Traffic Data
Version: 0.6.0
Date: 2024-02-29
Author: Os Keyes [aut, cre], Jeremiah Lewis [ctb]
Maintainer: Os Keyes <ironholds@gmail.com>
Description: Pageview data from the 'Wikimedia' sites, such as 'Wikipedia' <https://www.wikipedia.org/>, from entire projects to per-article levels of granularity, through the new RESTful API and data source <https://wikimedia.org/api/rest_v1/?doc>.
License: MIT + file LICENSE
URL: https://github.com/ironholds/pageviews
BugReports: https://github.com/ironholds/pageviews
Suggests: testthat, knitr, rmarkdown, WikipediR, WikidataR
Imports: jsonlite, httr, curl
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-04 17:49:18 UTC; ironholds
Repository: CRAN
Date/Publication: 2024-03-04 19:20:02 UTC

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New package jlmerclusterperm with initial version 1.1.3
Package: jlmerclusterperm
Title: Cluster-Based Permutation Analysis for Densely Sampled Time Data
Version: 1.1.3
Description: An implementation of fast cluster-based permutation analysis (CPA) for densely-sampled time data developed in Maris & Oostenveld, 2007 <doi:10.1016/j.jneumeth.2007.03.024>. Supports (generalized, mixed-effects) regression models for the calculation of timewise statistics. Provides both a wholesale and a piecemeal interface to the CPA procedure with an emphasis on interpretability and diagnostics. Integrates 'Julia' libraries 'MixedModels.jl' and 'GLM.jl' for performance improvements, with additional functionalities for interfacing with 'Julia' from 'R' powered by the 'JuliaConnectoR' package.
License: MIT + file LICENSE
URL: https://github.com/yjunechoe/jlmerclusterperm, https://yjunechoe.github.io/jlmerclusterperm/
BugReports: https://github.com/yjunechoe/jlmerclusterperm/issues
Depends: R (>= 3.5)
Imports: backports (>= 1.1.7), cli, generics, JuliaConnectoR, lme4, stats, tools, utils
Suggests: broom, broom.mixed, covr, dplyr, eyetrackingR, forcats, future, ggplot2, knitr, MASS, patchwork, readr, rmarkdown, scales, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Julia (>= 1.8)
NeedsCompilation: no
Packaged: 2024-03-01 15:03:56 UTC; jchoe
Author: June Choe [aut, cre, cph]
Maintainer: June Choe <jchoe001@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-04 19:40:02 UTC

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New package rexer with initial version 1.0.0
Package: rexer
Title: Random Exercises and Exams Generator
Version: 1.0.0
Description: The main purpose of this package is to streamline the generation of exams that include random elements in exercises. Exercises can be defined in a table, based on text and figures, and may contain gaps to be filled with provided options. Exam documents can be generated in various formats. It allows us to generate a version for conducting the assessment and another version that facilitates correction, linked through a code.
License: MIT + file LICENSE
URL: https://josesamos.github.io/rexer/, https://github.com/josesamos/rexer
BugReports: https://github.com/josesamos/rexer/issues
Imports: readr, readxl, rmarkdown, snakecase, stringr, tidyr, xlsx
Suggests: knitr, pander, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-01 16:15:04 UTC; joses
Author: Jose Samos [aut, cre] , Universidad de Granada [cph]
Maintainer: Jose Samos <jsamos@ugr.es>
Repository: CRAN
Date/Publication: 2024-03-04 11:10:02 UTC

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New package grouprar with initial version 0.1.0
Package: grouprar
Title: Group Response Adaptive Randomization for Clinical Trials
Version: 0.1.0
Date: 2024-2-3
Description: Implement group response-adaptive randomization procedures, which also integrates standard non-group response-adaptive randomization methods as specialized instances. It is also uniquely capable of managing complex scenarios, including those with delayed and missing responses, thereby expanding its utility in real-world applications. This package offers 16 functions for simulating a variety of response adaptive randomization procedures. These functions are essential for guiding the selection of statistical methods in clinical trials, providing a flexible and effective approach to trial design. Some of the detailed methodologies and algorithms used in this package, please refer to the following references: LJ Wei (1979) <doi:10.1214/aos/1176344614> L. J. WEI and S. DURHAM (1978) <doi:10.1080/01621459.1978.10480109> Durham, S. D., FlournoY, N. AND LI, W. (1998) <doi:10.2307/3315771> Ivanova, A., Rosenberger, W. F., Durham, S. D. and Flournoy, N. (2000) <https://www.j [...truncated...]
License: GPL (>= 2)
Imports: ggplot2 (>= 3.3.0), gridExtra (>= 2.3), stringr (>= 1.4.0), methods, extraDistr, tidyr, stats
Depends: R (>= 3.6.0)
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2024-03-01 17:21:19 UTC; guannanzhai
Author: Guannan Zhai [aut, cre], Feifang Hu [aut, ths]
Maintainer: Guannan Zhai <guannanzhai1996@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-04 11:20:02 UTC

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New package xegaPopulation with initial version 1.0.0.0
Package: xegaPopulation
Title: Genetic Population Level Functions
Version: 1.0.0.0
Description: This collection of gene representation-independent functions implements the population layer of extended evolutionary and genetic algorithms and its support. The population layer consists of functions for initializing, logging, observing, evaluating a population of genes, as well as of computing the next population. For parallel evaluation of a population of genes 4 execution models - named Sequential, MultiCore, FutureApply, and Cluster - are provided. They are implemented by configuring the lapply() function. The execution model FutureApply can be externally configured as recommended by Bengtsson (2021) <doi:10.32614/RJ-2021-048>. Configurable acceptance rules and cooling schedules (see Kirkpatrick, S., Gelatt, C. D. J, and Vecchi, M. P. (1983) <doi:10.1126/science.220.4598.671>, and Aarts, E., and Korst, J. (1989, ISBN:0-471-92146-7) offer simulated annealing or greedy randomized approximate search procedure elements. Adaptive crossover and mutation rates depending on po [...truncated...]
License: MIT + file LICENSE
URL: <https://github.com/ageyerschulz/xegaPopulation>
Encoding: UTF-8
Depends: R (>= 4.0.0), parallel, future.apply, utils, stats
Suggests: testthat (>= 3.0.0), future, parallelly
Imports: xegaGaGene, xegaSelectGene
NeedsCompilation: no
Packaged: 2024-03-01 15:06:25 UTC; dj2333
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>
Repository: CRAN
Date/Publication: 2024-03-04 10:50:02 UTC

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New package timeless with initial version 0.1.0
Package: timeless
Title: Fast General Purpose Date/Time Converter
Version: 0.1.0
Description: Fast general purpose date/time converter using 'Rust'. The package implements date time, date and epoch time parser for heterogeneous vectors of dates.
URL: https://github.com/schochastics/timeless, https://schochastics.github.io/timeless/
BugReports: https://github.com/schochastics/timeless/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-03-01 15:23:55 UTC; david
Author: David Schoch [aut, cre] , Rollie Ma [ctb, cph] , Brandon W. Maister [ctb, cph] , Dirkjan Ochtman [ctb, cph] , Seonghoon Kang [ctb, cph] , Eric Sheppard [ctb, cph] , Paul Dicker [ctb, cph]
Maintainer: David Schoch <david@schochastics.net>
Repository: CRAN
Date/Publication: 2024-03-04 11:00:02 UTC

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New package T2DFitTailor with initial version 1.0.0
Package: T2DFitTailor
Title: 'Tailor the Exercise Plans and Visualize the Outcome for T2D Patients'
Version: 1.0.0
Description: A system for personalized exercise plan recommendations for T2D (Type 2 Diabetes) patients based on the primary outcome of HbA1c (Glycated Hemoglobin). You provide the individual's information, and 'T2DFitTailor' details the exercise plan and predicts the intervention's effectiveness.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr,fmsb,graphics,grDevices,httr,jsonlite
NeedsCompilation: no
Packaged: 2024-03-01 02:44:49 UTC; supercheng
Author: Cheng Liu [aut, cre], Xinyu Hou [aut], Bingxiang Xu [aut], Tiemin Liu [aut], Ru Wang [aut]
Maintainer: Cheng Liu <971264017@qq.com>
Repository: CRAN
Date/Publication: 2024-03-04 10:30:06 UTC

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New package seguid with initial version 0.1.0
Package: seguid
Version: 0.1.0
Title: Sequence Globally Unique Identifier (SEGUID) Checksums
Description: Implementation of the original Sequence Globally Unique Identifier (SEGUID) algorithm [Babnigg and Giometti (2006) <doi:10.1002/pmic.200600032>] and SEGUID v2 (<https://www.seguid.org>), which extends SEGUID v1 with support for linear, circular, single- and double-stranded biological sequences, e.g. DNA, RNA, and proteins.
Imports: base64enc, digest
License: MIT + file LICENSE
URL: https://www.seguid.org/
BugReports: https://github.com/seguid/seguid-r/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-01 12:55:12 UTC; henrik
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2024-03-04 10:40:02 UTC

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New package proporz with initial version 1.4.0
Package: proporz
Title: Proportional Apportionment
Version: 1.4.0
Description: Calculate seat apportionment for legislative bodies with various methods. The algorithms include divisor or highest averages methods (e.g. Jefferson, Webster or Adams), largest remainder methods and biproportional apportionment. Gaffke, N. & Pukelsheim, F. (2008) <doi:10.1016/j.mathsocsci.2008.01.004> Oelbermann, K. F. (2016) <doi:10.1016/j.mathsocsci.2016.02.003>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Suggests: shiny, shinyMatrix, testthat, knitr, rmarkdown
URL: https://github.com/polettif/proporz
BugReports: https://github.com/polettif/proporz/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-01 06:18:17 UTC; flavi
Author: Flavio Poletti [aut, cre, cph]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>
Repository: CRAN
Date/Publication: 2024-03-04 10:30:02 UTC

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New package PMEvapotranspiration with initial version 0.1.0
Package: PMEvapotranspiration
Title: Calculation of the Penman-Monteith Evapotranspiration using Weather Variables
Version: 0.1.0
Author: Dr. Himadri Shekhar Roy [aut, cre], Dr. Ranjit Kumar Paul [aut], Dr. Md Yeasin [aut], Dr. Amrit Kumar Paul [aut], Dr. Kamalika Nath [aut]
Maintainer: Dr. Himadri Shekhar Roy <himadriiasri@gmail.com>
Description: The Food and Agriculture Organization-56 Penman-Monteith is one of the important method for estimating evapotranspiration from vegetated land areas. This package helps to calculate reference evapotranspiration using the weather variables collected from weather station. Evapotranspiration is the process of water transfer from the land surface to the atmosphere through evaporation from soil and other surfaces and transpiration from plants. The package aims to support agricultural, hydrological, and environmental research by offering accurate and accessible reference evapotranspiration calculation. This package has been developed using concept of Córdova et al. (2015)<doi:10.1016/j.apm.2022.09.004> and Debnath et al. (2015) <doi:10.1007/s40710-015-0107-1>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-01 11:20:24 UTC; Himadri Roy
Repository: CRAN
Date/Publication: 2024-03-04 10:40:05 UTC

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New package ggscidca with initial version 0.1.0
Package: ggscidca
Title: Plotting Decision Curve Analysis with Coloured Bars
Version: 0.1.0
Maintainer: Qiang Liu <dege857@163.com>
Description: Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The 'ggscidca' package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) <doi:10.1016/S1470-2045(14)71116-7>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2, reshape2, survival
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-03-01 15:06:46 UTC; Administrator
Author: Qiang Liu [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-04 10:50:06 UTC

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New package GFDrmst with initial version 0.1.0
Package: GFDrmst
Title: Multiple RMST-Based Tests in General Factorial Designs
Version: 0.1.0
Maintainer: Merle Munko <merle.munko@ovgu.de>
Description: We implemented multiple tests based on the restricted mean survival time (RMST) for general factorial designs as described in Munko et al. (2024) <doi:10.1002/sim.10017>. Therefore, an asymptotic test, a groupwise bootstrap test, and a permutation test are incorporated with a Wald-type test statistic. The asymptotic and groupwise bootstrap test take the asymptotic exact dependence structure of the test statistics into account to gain more power. Furthermore, confidence intervals for RMST contrasts can be calculated and plotted and a stepwise extension that can improve the power of the multiple tests is available.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: condSURV
Imports: GFDmcv, lpSolve, shinyWidgets, shinyMatrix, shiny (>= 1.5.0), tippy (>= 0.1.0), mvtnorm, MASS (>= 7.3-53), plyr (>= 1.8.6), shinyjs (>= 2.0.0), shinythemes (>= 1.1.2)
NeedsCompilation: no
Packaged: 2024-03-01 15:02:32 UTC; munko
Author: Marc Ditzhaus [aut], Dennis Dobler [aut], Marc Kindop [aut], Merle Munko [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-04 10:40:08 UTC

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New package EMgaussian with initial version 0.2.1
Package: EMgaussian
Encoding: UTF-8
Title: Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data
Version: 0.2.1
Date: 2024-02-15
Maintainer: Carl F. Falk <carl.falk@mcgill.ca>
Description: Initially designed to distribute code for estimating the Gaussian graphical model with Lasso regularization, also known as the graphical lasso (glasso), using an Expectation-Maximization (EM) algorithm based on work by Städler and Bühlmann (2012) <doi:10.1007/s11222-010-9219-7>. As a byproduct, code for estimating means and covariances (or the precision matrix) under a multivariate normal (Gaussian) distribution is also available.
License: GPL (>= 3)
Imports: Rcpp, matrixcalc, Matrix, lavaan, glasso, glassoFast, caret
Suggests: testthat (>= 3.0.0), psych, bootnet, qgraph, cglasso
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-03-01 15:07:00 UTC; CarlFalkMcGill
Author: Carl F. Falk [cre, aut]
Repository: CRAN
Date/Publication: 2024-03-04 10:50:08 UTC

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Sun, 03 Mar 2024

New package basemaps with initial version 0.0.6
Package: basemaps
Title: Accessing Spatial Basemaps in R
Version: 0.0.6
Depends: R (>= 3.5.0)
Date: 2024-03-03
Description: A lightweight package to access spatial basemaps from open sources such as 'OpenStreetMap', 'Carto', 'Mapbox' and others in R.
License: GPL-3
Encoding: UTF-8
Imports: sf, slippymath, httr, curl, terra, stars, pbapply, magick, utils, grDevices, methods
Suggests: raster, ggplot2, png, mapview, mapedit, testthat, covr
BugReports: https://github.com/16eagle/basemaps/issues
NeedsCompilation: no
Packaged: 2024-03-03 19:46:21 UTC; jas24ny
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <dev@schwalb-willmann.de>
Repository: CRAN
Date/Publication: 2024-03-04 00:10:03 UTC

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New package geoAr with initial version 1.0.0
Package: geoAr
Title: Argentina's Spatial Data Toolbox
Version: 1.0.0
Description: Collection of tools that facilitates data access and workflow for spatial analysis of Argentina. Includes historical information from censuses, administrative limits at different levels of aggregation, location of human settlements, among others. Since it is expected that the majority of users will be Spanish-speaking, the documentation of the package prioritizes this language, although an effort is made to also offer annotations in English.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, gt, knitr, rmarkdown, geofacet, ggplot2, tibble
Depends: R (>= 2.10)
Imports: dplyr, sf, httr, assertthat, attempt, tidyr, stringr, magrittr, curl, glue, leaflet, jsonlite, purrr
URL: https://github.com/PoliticaArgentina/geoAr
BugReports: https://github.com/PoliticaArgentina/geoAr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-03 00:36:15 UTC; UsuarioFundar
Author: Juan Pablo Ruiz Nicolini [aut, cre, cph] , Patricio Del Boca [aut], Juan Gabriel Juara [aut]
Maintainer: Juan Pablo Ruiz Nicolini <juanpabloruiznicolini@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-03 17:30:02 UTC

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New package geostan with initial version 0.5.4
Package: geostan
Title: Bayesian Spatial Analysis
Version: 0.5.4
Date: 2024-03-01
URL: https://connordonegan.github.io/geostan/
BugReports: https://github.com/ConnorDonegan/geostan/issues
Description: For Bayesian inference with spatial data, provides exploratory spatial analysis tools, multiple spatial model specifications, spatial model diagnostics, and special methods for inference with small area survey data (e.g., the America Community Survey (ACS)) and censored population health surveillance data. Models are pre-specified using the Stan programming language, a platform for Bayesian inference using Markov chain Monte Carlo (MCMC). References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Donegan (2021) <doi:10.31219/osf.io/3ey65>; Donegan (2022) <doi:10.21105/joss.04716>; Donegan, Chun and Hughes (2020) <doi:10.1016/j.spasta.2020.100450>; Donegan, Chun and Griffith (2021) <doi:10.3390/ijerph18136856>; Morris et al. (2019) <doi:10.1016/j.sste.2019.100301>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.4)
Imports: spdep (>= 1.0), sf (>= 1.0-10), ggplot2 (>= 3.0.0), methods, graphics, stats, MASS, truncnorm, signs, gridExtra, utils, Matrix (>= 1.3), Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools (>= 2.1.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0)
Suggests: testthat, knitr, rmarkdown, bayesplot
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-02 00:01:25 UTC; connor
Author: Connor Donegan [aut, cre] , Mitzi Morris [ctb]
Maintainer: Connor Donegan <connor.donegan@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-03 15:22:39 UTC

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Sat, 02 Mar 2024

New package spnaf with initial version 0.3.1
Package: spnaf
Title: Spatial Network Autocorrelation for Flow Data
Version: 0.3.1
Description: Identify statistically significant flow clusters using the local spatial network autocorrelation statistic G_ij* proposed by 'Berglund' and 'Karlström' (1999) <doi:10.1007/s101090050013>. The metric, an extended statistic of 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>, detects a group of flows having similar traits in terms of directionality. You provide OD data and the associated polygon to get results with several parameters, some of which are defined by spdep package.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, sf, spdep, tidyr, rlang
Suggests: knitr, rmarkdown, tmap
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-02 07:45:17 UTC; YB
Author: Youngbin Lee [aut, cre] , Hui Jeong Ha [aut] , Sohyun Park [aut] , Kyusik Kim [aut] , Jinhyung Lee [aut]
Maintainer: Youngbin Lee <youngbin@snu.ac.kr>
Repository: CRAN
Date/Publication: 2024-03-02 22:10:02 UTC

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New package RivRetrieve with initial version 0.1.4
Package: RivRetrieve
Title: Retrieve Global River Gauge Data
Version: 0.1.4
Description: Provides access to global river gauge data from a variety of national-level river agencies. The package interfaces with the national-level agency websites to provide access to river gauge locations, river discharge, and river stage. Currently, the package is available for the following countries: Australia, Brazil, Canada, Chile, France, Japan, South Africa, the United Kingdom, and the United States.
License: MIT + file LICENSE
URL: https://github.com/Ryan-Riggs/RivRetrieve
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: BBmisc, dataRetrieval, devtools, dplyr, httr, jsonlite, lubridate, readr, rlang, rlist, RSelenium, rvest, stringr, tibble, tidyhydat, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-01 17:18:25 UTC; rriggs
Author: Ryan Riggs [aut, cre] , Simon Moulds [aut] , Michel Wortmann [aut] , Louise Slater [aut] , George Allen [aut]
Maintainer: Ryan Riggs <rriggs@tamu.edu>
Repository: CRAN
Date/Publication: 2024-03-02 22:32:42 UTC

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New package jmastats with initial version 0.2.1
Package: jmastats
Version: 0.2.1
Title: Download Weather Data from Japan Meteorological Agency Website
Description: Provides features that allow users to download weather data published by the Japan Meteorological Agency (JMA) website (<https://www.jma.go.jp/jma/index.html>). The data includes information dating back to 1976 and aligns with the categories available on the website. Additionally, users can process the best track data of typhoons and easily handle earthquake record files.
Depends: R (>= 4.1)
License: MIT + file LICENSE
BugReports: https://github.com/uribo/jmastats/issues
URL: https://uribo.github.io/jmastats/, https://github.com/uribo/jmastats
Imports: cli (>= 3.4.0), crayon (>= 1.3.4), dplyr (>= 1.1.0), forcats (>= 0.4.0), ggplot2 (>= 2.2.1), lifecycle (>= 1.0.3), lubridate (>= 1.7.4), purrr (>= 1.0.2), rappdirs (>= 0.3.3), readr (>= 1.1.1), rlang (>= 0.2.1), rvest (>= 0.3.2), sf (>= 0.6.3), stringr (>= 1.3.1), tibble (>= 3.0.0), tidyselect (>= 1.1.0), tidyr (>= 1.0.0), units (>= 0.5.1), xml2 (>= 1.2.0)
Suggests: knitr (>= 1.20), lwgeom (>= 0.1-4), rmarkdown (>= 1.9), testthat (>= 2.0.0)
Encoding: UTF-8
LazyData: true
ByteCompile: true
NeedsCompilation: no
Packaged: 2024-03-02 05:14:22 UTC; suryu
Author: Shinya Uryu [aut, cph, cre]
Maintainer: Shinya Uryu <suika1127@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-02 22:30:06 UTC

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Fri, 01 Mar 2024

New package wordbankr with initial version 1.0.3
Package: wordbankr
Title: Accessing the Wordbank Database
Description: Connecting to Wordbank, an open repository for developmental vocabulary data. For more information on the underlying data, see <http://wordbank.stanford.edu>.
Version: 1.0.3
Depends: R (>= 4.0)
License: GPL-3
URL: https://langcog.github.io/wordbankr/, https://github.com/langcog/wordbankr/
BugReports: https://github.com/langcog/wordbankr/issues/
Imports: assertthat (>= 0.2.1), DBI (>= 1.1.3), dbplyr (>= 2.3.4), dplyr (>= 1.1.3), glue (>= 1.6.2), jsonlite (>= 1.8.7), lifecycle (>= 1.0.3), purrr (>= 1.0.2), quantregGrowth (>= 1.7-0), rlang (>= 1.1.1), RMySQL (>= 0.10.26), robustbase (>= 0.99-0), stringr (>= 1.5.0), tidyr (>= 1.3.0)
Suggests: ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-02-14 18:52:31 UTC; mikabr
Author: Mika Braginsky [aut, cre], Daniel Yurovsky [ctb], Michael Frank [ctb], Danielle Kellier [ctb], Alvin Tan [ctb]
Maintainer: Mika Braginsky <mika.br@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-01 16:50:02 UTC

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New package TropFishR with initial version 1.6.4
Package: TropFishR
Title: Tropical Fisheries Analysis
Version: 1.6.4
Date: 2024-01-29
Author: Tobias K. Mildenberger, Marc H. Taylor, Matthias Wolff
Maintainer: Tobias K. Mildenberger <t.k.mildenberger@gmail.com>
Depends: R (>= 3.0.0)
Imports: Matrix, msm, reshape2, MASS, GenSA, GA, stats, utils, propagate, parallel, doParallel
LazyData: true
Description: A compilation of fish stock assessment methods for the analysis of length-frequency data in the context of data-poor fisheries. Includes methods and examples included in the FAO Manual by P. Sparre and S.C. Venema (1998), "Introduction to tropical fish stock assessment" (<https://www.fao.org/documents/card/en/c/9bb12a06-2f05-5dcb-a6ca-2d6dd3080f65/>), as well as other more recent methods.
License: GPL-3
NeedsCompilation: no
BugReports: https://github.com/tokami/TropFishR/issues
URL: https://github.com/tokami/TropFishR
Encoding: UTF-8
Suggests: graphics, grDevices, knitr, rmarkdown, plyr
VignetteBuilder: knitr
Packaged: 2024-02-29 10:59:19 UTC; tobm
Repository: CRAN
Date/Publication: 2024-03-01 15:22:40 UTC

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New package TestsSymmetry with initial version 1.0.0
Package: TestsSymmetry
Title: Tests for Symmetry when the Center of Symmetry is Unknown
Version: 1.0.0
Date: 2024-02-22
Maintainer: Jiaojiao Zhou <woerge99@gmail.com>
Description: Provides functionality of a statistical testing implementation whether a dataset comes from a symmetric distribution when the center of symmetry is unknown, including Wilcoxon test and sign test procedure. In addition, sample size determination for both tests is provided. The Wilcoxon test procedure is described in Vexler et al. (2023) <https://www.sciencedirect.com/science/article/abs/pii/S0167947323000579>, and the sign test is outlined in Gastwirth (1971) <https://www.jstor.org/stable/2284233>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp, MASS, e1071, rpart
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-02-29 19:58:36 UTC; jzhou54
Author: Jiaojiao Zhou [aut, cre], Xinyu Gao [aut], Albert Vexler [aut]
Repository: CRAN
Date/Publication: 2024-03-01 15:02:40 UTC

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New package OmicsQC with initial version 1.1.0
Package: OmicsQC
Title: Nominating Quality Control Outliers in Genomic Profiling Studies
Version: 1.1.0
Description: A method that analyzes quality control metrics from multi-sample genomic sequencing studies and nominates poor quality samples for exclusion. Per sample quality control data are transformed into z-scores and aggregated. The distribution of aggregated z-scores are modelled using parametric distributions. The parameters of the optimal model, selected either by goodness-of-fit statistics or user-designation, are used for outlier nomination. Two implementations of the Cosine Similarity Outlier Detection algorithm are provided with flexible parameters for dataset customization.
Depends: R (>= 2.10)
Imports: stats, utils, fitdistrplus, lsa, BoutrosLab.plotting.general
Suggests: knitr, rmarkdown, kableExtra, dplyr, testthat (>= 3.0.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-29 22:17:18 UTC; helenzhu
Author: Anders Hugo Frelin [aut], Helen Zhu [aut], Paul C. Boutros [aut, cre]
Maintainer: Paul C. Boutros <PBoutros@mednet.ucla.edu>
Repository: CRAN
Date/Publication: 2024-03-01 15:02:43 UTC

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New package habtools with initial version 1.0.5
Package: habtools
Title: Tools and Metrics for 3D Surfaces and Objects
Version: 1.0.5
Description: A collection of functions for sampling and simulating 3D surfaces and objects and estimating metrics like rugosity, fractal dimension, convexity, sphericity, circularity, second moments of area and volume, and more.
License: MIT + file LICENSE
URL: https://jmadinlab.github.io/habtools/
BugReports: https://github.com/jmadinlab/habtools/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: raster (>= 3.5), terra, methods, Rvcg, sp, geometry, concaveman, magrittr, purrr, dplyr
Suggests: knitr, rmarkdown, rgl, parallel, ggplot2, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-01 00:40:18 UTC; nina
Author: Joshua Madin [aut] , Nina Schiettekatte [aut, cre]
Maintainer: Nina Schiettekatte <nina.schiettekatte@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-01 15:20:02 UTC

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New package ggsankeyfier with initial version 0.1.7
Package: ggsankeyfier
Title: Create Sankey and Alluvial Diagrams Using 'ggplot2'
Version: 0.1.7
Date: 2024-02-29
Author: Pepijn de Vries [aut, cre, dtc] , Gerjan Piet [dtc] , Ruud Jongbloed [dtc] , Anne Grundlehner [dtc] , Jacqueline Tamis [dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Description: Sankey and alluvial diagrams visualise flows of quantities across stages in stacked bars. This package makes it easy to create such diagrams using 'ggplot2'.
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2 (>= 3.4.4), grid (>= 4.1.0), gridBezier, methods, rlang, scales, stats, tidyr, vwline
Suggests: knitr, rmarkdown, stringr, svglite, testthat (>= 3.0.0), vdiffr
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://pepijn-devries.github.io/ggsankeyfier/, https://github.com/pepijn-devries/ggsankeyfier/
BugReports: https://github.com/pepijn-devries/ggsankeyfier/issues
NeedsCompilation: no
Packaged: 2024-02-29 22:38:56 UTC; vries171
Repository: CRAN
Date/Publication: 2024-03-01 15:02:37 UTC

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New package sccca with initial version 0.1.0
Package: sccca
Title: Single-Cell Correlation Based Cell Type Annotation
Version: 0.1.0
Maintainer: Mohamed Soudy <Mohmedsoudy2009@gmail.com>
Description: Performing cell type annotation based on cell markers from a unified database. The approach utilizes correlation-based approach combined with association analysis using Fisher-exact and phyper statistical tests (Upton, Graham JG. (1992) <DOI:10.2307/2982890>).
License: GPL-3
Encoding: UTF-8
Imports: Seurat, dplyr, plyr
NeedsCompilation: no
Packaged: 2024-02-29 11:16:18 UTC; mohamed.soudy
Author: Mohamed Soudy [aut, cre], Sophie LE BARS [aut], Enrico Glaab [aut]
Repository: CRAN
Date/Publication: 2024-03-01 14:00:06 UTC

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New package geneHapR with initial version 1.2.4
Package: geneHapR
Title: Gene Haplotype Statistics, Phenotype Association and Visualization
Description: Import genome variants data and perform gene haplotype Statistics, visualization and phenotype association with 'R'.
Encoding: UTF-8
Maintainer: Zhang Renliang <zhang_renliang@163.com>
Version: 1.2.4
LazyData: True
Imports: ape, Biostrings, ggpubr, genetics, GenomicRanges, lolliplot, maps, methods, IRanges, pegas, reshape2, rlang, rtracklayer, shiny, shinyjs, stats, stringdist, stringr, tibble, sf, tidyr, utils, vcfR
Depends: ggplot2, R (>= 4.0.0)
Suggests: mapdata, knitr, rmarkdown, testthat (>= 3.0.0)
License: GPL-3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-01 12:29:13 UTC; zhang
Author: Zhang Renliang [aut, cre], Jia Guanqing [aut]
Repository: CRAN
Date/Publication: 2024-03-01 14:32:40 UTC

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Thu, 29 Feb 2024

New package specs with initial version 1.0.1
Package: specs
Title: Single-Equation Penalized Error-Correction Selector (SPECS)
Version: 1.0.1
Description: Implementation of SPECS, your favourite Single-Equation Penalized Error-Correction Selector developed in Smeekes and Wijler (2021) <doi:10.1016/j.jeconom.2020.07.021>. SPECS provides a fully automated estimation procedure for large and potentially (co)integrated datasets. The dataset in levels is converted to a conditional error-correction model, either by the user or by means of the functions included in this package, and various specialised forms of penalized regression can be applied to the model. Automated options for initializing and selecting a sequence of penalties, as well as the construction of penalty weights via an initial estimator, are available. Moreover, the user may choose from a number of pre-specified deterministic configurations to further simplify the model building process.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2024-02-29 19:48:32 UTC; Etienne
Author: Etienne Wijler [aut, cre], Stephan Smeekes [aut]
Maintainer: Etienne Wijler <e.j.j.wijler@vu.nl>
Repository: CRAN
Date/Publication: 2024-02-29 21:10:02 UTC

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New package ao with initial version 0.3.3
Package: ao
Title: Alternating Optimization
Version: 0.3.3
Description: Alternating optimization of (high-dimensional) functions is an iterative procedure for optimizing jointly over all parameters by alternately optimizing parameter subsets.
URL: https://loelschlaeger.de/ao/, https://github.com/loelschlaeger/ao/
BugReports: https://github.com/loelschlaeger/ao/issues
License: GPL-3
Encoding: UTF-8
Imports: checkmate, cli, oeli, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.0.0), optimizeR (>= 1.0.4)
NeedsCompilation: no
Packaged: 2024-02-29 20:05:27 UTC; Oelschlaeger
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-29 21:12:46 UTC

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New package SemiPar.depCens with initial version 0.1.1
Package: SemiPar.depCens
Title: Copula Based Cox Proportional Hazards Models for Dependent Censoring
Version: 0.1.1
Date: 2024-02-27
Maintainer: Negera Wakgari Deresa <negera.deresa@gmail.com>
Description: Copula based Cox proportional hazards models for survival data subject to dependent censoring. This approach does not assume that the parameter defining the copula is known. The dependency parameter is estimated with other finite model parameters by maximizing a Pseudo likelihood function. The cumulative hazard function is estimated via estimating equations derived based on martingale ideas. Available copula functions include Frank, Gumbel and Normal copulas. Only Weibull and lognormal models are allowed for the censoring model, even though any parametric model that satisfies certain identifiability conditions could be used. Implemented methods are described in the article "Copula based Cox proportional hazards models for dependent censoring" by Deresa and Van Keilegom (2023) <doi:10.1080/01621459.2022.2161387>.
Imports: survival, copula, stats, foreach, parallel, doParallel, pbivnorm
License: GPL-3
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
URL: https://github.com/Nago2020/SemiPar.depCens
BugReports: https://github.com/Nago2020/SemiPar.depCens/issues
NeedsCompilation: no
Packaged: 2024-02-28 23:13:41 UTC; lucp11636
Author: Negera Wakgari Deresa [aut, cre] , Ingrid Van Keilegom [aut]
Repository: CRAN
Date/Publication: 2024-02-29 20:42:46 UTC

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New package roxytypes with initial version 0.1.0
Package: roxytypes
Title: Typed Parameter Tags for Integration with 'roxygen2'
Version: 0.1.0
Description: Provides typed parameter documentation tags for integration with 'roxygen2'. Typed parameter tags provide a consistent interface for annotating expected types for parameters and returned values. Tools for converting from existing styles are also provided to easily adapt projects which implement typed documentation by convention rather than tag. Use the default format or provide your own.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/openpharma/roxytypes, https://openpharma.github.io/roxytypes/
BugReports: https://github.com/openpharma/roxytypes/issues
Imports: utils, cli, glue, roxygen2
Suggests: mockery, testthat
Enhances: roxylint
NeedsCompilation: no
Packaged: 2024-02-28 18:25:38 UTC; root
Author: Doug Kelkhoff [aut, cre]
Maintainer: Doug Kelkhoff <doug.kelkhoff@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-29 20:30:02 UTC

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New package metaConvert with initial version 1.0.0
Package: metaConvert
Title: An Automatic Suite for Estimation of Various Effect Size Measures
Version: 1.0.0
Maintainer: Corentin J. Gosling <corentin.gosling@parisnanterre.fr>
Description: Automatically estimate 11 effect size measures from a well-formatted dataset. Various other functions can help, for example, removing dependency between several effect sizes, or identifying differences between two datasets. This package is mainly designed to assist in conducting a systematic review with a meta-analysis but can be useful to any researcher interested in estimating an effect size.
Imports: compareDF, metafor, estimraw, mvtnorm, numDeriv, rio, utils
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), metaumbrella, TOSTER, esc, epiR, compute.es, meta, effectsize, MetaUtility, knitr, DT, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-28 21:57:11 UTC; Corentin Gosling
Author: Corentin J. Gosling [aut, cre], Samuele Cortese [aut], Marco Solmi [aut], Belen Haza [aut], Eduard Vieta [aut], Richard Delorme [aut], Paolo Fusar-Poli [aut], Joaquim Radua [aut]
Repository: CRAN
Date/Publication: 2024-02-29 20:40:02 UTC

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New package JSDNE with initial version 4.2.2
Package: JSDNE
Title: Estimating the Age using Auricular Surface by DNE
Version: 4.2.2
Maintainer: Jisun Jang <jisun.jang.19@ucl.ac.uk>
Description: The age is estimated by calculating the Dirichlet Normal Energy (DNE) on the whole auricular surface and the apex of the auricular surface. It involves three estimation methods: principal component discriminant analysis (PCQDA), principal component regression analysis (PCR), and principal component logistic regression analysis (PCLR) methods. The package is created with the data from the Louis Lopes Collection in Lisbon, the 21st Century Identified Human Remains Collection in Coimbra, and the CAL Milano Cemetery Skeletal Collection in Milan.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: dplyr, MASS, molaR, nnet, Rvcg
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-28 20:38:38 UTC; jangj
Author: Jisun Jang [aut, cre]
Repository: CRAN
Date/Publication: 2024-02-29 20:32:39 UTC

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New package dlim with initial version 0.1.0
Package: dlim
Date: 2024-02-25
Title: Distributed Lag Interaction Model
Version: 0.1.0
Description: Collection of functions for fitting and interpreting distributed lag interaction models (DLIM). A DLIM regresses a scalar outcome on repeated measures of exposure and allows for modification by a continuous variable. Includes a dlim() function for fitting, predict() function for inference, and plotting functions for visualization. Details on methodology are described in Demateis et al. (2024) <doi:10.1002/env.2843>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dlnm, ggplot2, mgcv, reshape2, rlang, splines, tsModel, viridis
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-29 00:31:34 UTC; ddema
Author: Danielle Demateis [aut, cre] , Kayleigh Keller [aut] , Ander Wilson [aut]
Maintainer: Danielle Demateis <Danielle.Demateis@colostate.edu>
Repository: CRAN
Date/Publication: 2024-02-29 20:42:42 UTC

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New package agcounts with initial version 0.6.6
Package: agcounts
Title: Calculate 'ActiGraph' Counts from Accelerometer Data
Version: 0.6.6
Description: Calculate 'ActiGraph' counts from the X, Y, and Z axes of a triaxial accelerometer. This work was inspired by Neishabouri et al. who published the article "Quantification of Acceleration as Activity Counts in 'ActiGraph' Wearables" on February 24, 2022. The link to the article (<https://pubmed.ncbi.nlm.nih.gov/35831446>) and 'python' implementation of this code (<https://github.com/actigraph/agcounts>).
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, gsignal, lubridate, magrittr, Rcpp, GGIR, stats, utils, zoo, reticulate, dplyr, stringr, ggplot2, reactable, shiny, bslib, read.gt3x, DBI, RSQLite
Suggests: parallel, devtools, foreach, testthat (>= 3.0.0), shinytest2, covr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-02-28 18:57:14 UTC; bhelsel
Author: Brian C. Helsel [aut, cre], Paul R. Hibbing [ctb], Robert N. Montgomery [ctb], Eric D. Vidoni [ctb], Jonathan Clutton [ctb], University of Kansas [cph]
Maintainer: Brian C. Helsel <bhelsel@kumc.edu>
Repository: CRAN
Date/Publication: 2024-02-29 20:12:36 UTC

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New package SINRELEF.LD with initial version 1.0.3
Package: SINRELEF.LD
Title: Reliability and Relative Efficiency in Locally-Dependent Measures
Version: 1.0.3
Date: 2024-02-28
Description: Implements an approach aimed at assessing the accuracy and effectiveness of raw scores obtained in scales that contain locally dependent items. The program uses as input the calibration (structural) item estimates obtained from fitting extended unidimensional factor-analytic solutions in which the existing local dependencies are included. Measures of reliability (Omega) and information are proposed at three levels: (a) total score, (b) bivariate-doublet, and (c) item-by-item deletion, and are compared to those that would be obtained if all the items had been locally independent. All the implemented procedures can be obtained from: (a) linear factor-analytic solutions in which the item scores are treated as approximately continuous, and (b) non-linear solutions in which the item scores are treated as ordered-categorical.
Depends: R (>= 3.5)
Imports: stats
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
Packaged: 2024-02-28 13:48:43 UTC; dnava
Author: David Navarro-Gonzalez [aut, cre], Fabia Morales-Vives [aut], Pere J. Ferrando [aut]
Maintainer: David Navarro-Gonzalez <david.navarro@urv.cat>
Repository: CRAN
Date/Publication: 2024-02-29 19:22:51 UTC

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New package rnaCrosslinkOO with initial version 0.1.2
Package: rnaCrosslinkOO
Title: Analysis of RNA Crosslinking Data
Version: 0.1.2
Maintainer: Jonathan Price <jlp76@cam.ac.uk>
Description: Analysis of RNA crosslinking data for RNA structure prediction. The package is suitable for the analysis of RNA structure cross-linking data and chemical probing data.
License: GPL-3
Encoding: UTF-8
BugReports: https://github.com/JLP-BioInf/rnaCrosslinkOO/issues
Depends: seqinr, GenomicRanges, stats
Imports: ggplot2, reshape2, MASS, mixtools, utils, S4Vectors, patchwork, doParallel, igraph, R4RNA, RColorBrewer, IRanges, foreach,grDevices, heatmap3, TopDom, tidyverse, RRNA, ggrepel, methods, parallel, ClassDiscovery
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-28 14:05:35 UTC; jp
Author: Jonathan Price [aut, cre] , Andrew Lim [ctb]
Repository: CRAN
Date/Publication: 2024-02-29 19:20:02 UTC

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New package paleobioDB with initial version 1.0.0
Package: paleobioDB
Title: Download and Process Data from the Paleobiology Database
Version: 1.0.0
Maintainer: Adrian Castro Insua <adrian.castro.insua@uvigo.gal>
Description: Includes functions to wrap most endpoints of the 'PaleobioDB' API and functions to visualize and process the fossil data. The API documentation for the Paleobiology Database can be found at <https://paleobiodb.org/data1.2/>.
License: GPL-2
URL: https://docs.ropensci.org/paleobioDB/, https://github.com/ropensci/paleobioDB
BugReports: https://github.com/ropensci/paleobioDB/issues
Imports: curl, graphics, grDevices, gtools, maps, rjson, terra
Suggests: roxygen2, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-02-28 10:18:18 UTC; aci
Author: Sara Varela [aut] , Javier Gonzalez Hernandez [aut], Luciano Fabris Sgarbi [aut] , Adrian Castro Insua [cre, ctb]
Repository: CRAN
Date/Publication: 2024-02-29 19:20:07 UTC

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New package chouca with initial version 0.0.999
Package: chouca
Title: A Stochastic Cellular Automaton Engine
Version: 0.0.999
Description: An engine for stochastic cellular automata. It provides a high-level interface to declare a model, which can then be simulated by various backends (Genin et al. (2023) <doi:10.1101/2023.11.08.566206>).
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, plyr, digest, stats, graphics, grDevices
Suggests: covr, testthat (>= 3.0.0), deSolve, igraph, knitr, rmarkdown, ggplot2, spatialwarnings
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-02-28 13:38:10 UTC; alex
Author: Alexandre Genin [aut, cre]
Maintainer: Alexandre Genin <a.a.h.genin@uu.nl>
Repository: CRAN
Date/Publication: 2024-02-29 19:22:47 UTC

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New package tidyheatmaps with initial version 0.2.1
Package: tidyheatmaps
Title: Heatmaps from Tidy Data
Version: 0.2.1
Description: The goal of 'tidyheatmaps' is to simplify the generation of publication-ready heatmaps from tidy data. By offering an interface to the powerful 'pheatmap' package, it allows for the effortless creation of intricate heatmaps with minimal code.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, pheatmap, rlang, grDevices, tidyr, tibble, RColorBrewer
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
URL: https://github.com/jbengler/tidyheatmaps, https://jbengler.github.io/tidyheatmaps/
BugReports: https://github.com/jbengler/tidyheatmaps/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-28 12:54:41 UTC; janbroderengler
Author: Jan Broder Engler [aut, cre, cph]
Maintainer: Jan Broder Engler <broder.engler@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-29 13:00:02 UTC

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New package OptGS with initial version 1.2
Package: OptGS
Title: Near-Optimal Group-Sequential Designs for Continuous Outcomes
Version: 1.2
Date: 2024-02-27
Maintainer: James Wason <james.wason@newcastle.ac.uk>
Description: Optimal group-sequential designs minimise some function of the expected and maximum sample size whilst controlling the type I error rate and power at a specified level. 'OptGS' provides functions to quickly search for near-optimal group-sequential designs for normally distributed outcomes. The methods used are described in Wason, JMS (2015) <doi:10.18637/jss.v066.i02>.
License: GPL-2
NeedsCompilation: yes
Packaged: 2024-02-28 13:18:08 UTC; njw228
Author: James Wason [aut, cre], John Burkardt [ctb], R O'Neill [ctb]
Repository: CRAN
Date/Publication: 2024-02-29 13:02:48 UTC

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New package moderate.mediation with initial version 0.0.8
Package: moderate.mediation
Version: 0.0.8
Date: 2024-02-12
Title: Causal Moderated Mediation Analysis
Maintainer: Xu Qin <xuqin@pitt.edu>
Depends: R (>= 3.5.0)
Imports: stats, mvtnorm, cowplot, distr, graphics, ggplot2, reshape2, doSNOW, scales, foreach, earth
Description: Causal moderated mediation analysis using the methods proposed by Qin and Wang (2023) <doi:10.3758/s13428-023-02095-4>. Causal moderated mediation analysis is crucial for investigating how, for whom, and where a treatment is effective by assessing the heterogeneity of mediation mechanism across individuals and contexts. This package enables researchers to estimate and test the conditional and moderated mediation effects, assess their sensitivity to unmeasured pre-treatment confounding, and visualize the results. The package is built based on the quasi-Bayesian Monte Carlo method, because it has relatively better performance at small sample sizes, and its running speed is the fastest. The package is applicable to a treatment of any scale, a binary or continuous mediator, a binary or continuous outcome, and one or more moderators of any scale.
License: GPL-2
NeedsCompilation: no
Packaged: 2024-02-12 23:32:03 UTC; XUQIN
Author: Xu Qin [aut, cre, cph], Lijuan Wang [ctb]
Repository: CRAN
Date/Publication: 2024-02-29 13:00:05 UTC

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New package SlicedLHD with initial version 1.0
Package: SlicedLHD
Version: 1.0
Date: 2024-02-28
Title: Sliced Latin Hypercube Designs
Author: A Anil Kumar [aut], Baidya Nath Mandal [aut, cre], Rajender Parsad [aut], Sukanta Dash [aut], Mukesh Kumar [aut]
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>
Depends: R (>= 4.3.0)
Description: A facility to generate sliced (orthogonal) Latin hypercube designs with four and five slices. For details about sliced and orthogonal Latin hypercube designs, see Yang, J. F., Lin, C. D., Qian, P. Z., and Lin, D. K. (2013). "Construction of sliced orthogonal Latin hypercube designs". Statistica Sinica, 1117-1130, <doi:10.5705/ss.2012.037>.
Note: This package is developed as part of ongoing Ph.D. (Agricultural Statistics) thesis research work of first author at ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-02-28 12:10:51 UTC; PC
Repository: CRAN
Date/Publication: 2024-02-29 12:42:40 UTC

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New package Lifertable with initial version 0.0.1
Package: Lifertable
Title: Life and Fertility Tables Specially for Insects
Version: 0.0.1
Description: Life and Fertility Tables are appropriate to study the dynamics of arthropods populations. This package provides utilities for constructing Life Tables and Fertility Tables, related demographic parameters, and some simple graphs of interest. It also offers functions to transform the obtained data into a known format for better manipulation. This document is based on the article by Maia, Luiz, and Campanhola "Statistical Inference on Associated Fertility Life Table Parameters Using Jackknife Technique Computational Aspects" (April 2000, Journal of Economic Entomology, Volume 93, Issue 2) <doi:10.1603/0022-0493-93.2.511>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Imports: ggplot2, methods, stats, tidyr
Suggests: openxlsx
Depends: R (>= 2.10)
Author: Carlos Abimael Sarmiento Sanchez [aut, cre]
Maintainer: Carlos Abimael Sarmiento Sanchez <cass9918@hotmail.com>
NeedsCompilation: no
Packaged: 2024-02-28 02:07:19 UTC; CASS
Repository: CRAN
Date/Publication: 2024-02-29 12:02:37 UTC

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New package GeneNMF with initial version 0.4.0
Package: GeneNMF
Title: Non-Negative Matrix Factorization for Single-Cell Omics
Version: 0.4.0
Description: A collection of methods to extract gene programs from single-cell gene expression data using non-negative matrix factorization (NMF). 'GeneNMF' contains functions to directly interact with the 'Seurat' toolkit and derive interpretable gene program signatures.
Depends: R (>= 4.3.0)
Imports: RcppML, NMF, stats, Seurat (>= 4.3.0), cluster, pheatmap, viridis
Suggests: knitr, rmarkdown, fgsea, dplyr, msigdbr
VignetteBuilder: knitr
URL: https://github.com/carmonalab/GeneNMF
BugReports: https://github.com/carmonalab/GeneNMF/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-02-28 08:27:05 UTC; mass
Author: Massimo Andreatta [aut, cre] , Santiago Carmona [aut]
Maintainer: Massimo Andreatta <massimo.andreatta@unil.ch>
Repository: CRAN
Date/Publication: 2024-02-29 12:22:40 UTC

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New package COAP with initial version 1.1
Package: COAP
Title: High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model
Version: 1.1
Date: 2024-02-28
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
Description: A covariate-augmented overdispersed Poisson factor model is proposed to jointly perform a high-dimensional Poisson factor analysis and estimate a large coefficient matrix for overdispersed count data. More details can be referred to Liu et al. (2024) <doi:10.48550/arXiv.2402.15071>.
License: GPL-3
Depends: irlba, R (>= 3.5.0)
Imports: MASS, stats, Rcpp (>= 1.0.10)
URL: https://github.com/feiyoung/COAP
BugReports: https://github.com/feiyoung/COAP/issues
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-02-28 06:04:26 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2024-02-29 12:22:43 UTC

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New package normaliseR with initial version 0.1.2
Package: normaliseR
Title: Re-Scale Vectors and Time-Series Features
Version: 0.1.2
Date: 2024-02-28
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>
Description: Provides standardized access to a range of re-scaling methods for numerical vectors and time-series features calculated within the 'theft' ecosystem.
BugReports: https://github.com/hendersontrent/normaliseR/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: rlang, stats, dplyr, scales
Suggests: knitr, markdown, rmarkdown, pkgdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://hendersontrent.github.io/normaliseR/
NeedsCompilation: no
Packaged: 2024-02-28 00:25:29 UTC; trenthenderson
Author: Trent Henderson [cre, aut]
Repository: CRAN
Date/Publication: 2024-02-29 11:50:02 UTC

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New package multilevelmediation with initial version 0.3.1
Package: multilevelmediation
Title: Utility Functions for Multilevel Mediation Analysis
Version: 0.3.1
Date: 2024-02-27
Maintainer: Carl F. Falk <carl.falk@mcgill.ca>
BugReports: https://github.com/falkcarl/multilevelmediation
Description: The ultimate goal is to support 2-2-1, 2-1-1, and 1-1-1 models for multilevel mediation, the option of a moderating variable for either the a, b, or both paths, and covariates. Currently the 1-1-1 model is supported and several options of random effects; the initial code for bootstrapping was evaluated in simulations by Falk, Vogel, Hammami, and Miočević (2024) <doi:10.3758/s13428-023-02079-4>. Support for Bayesian estimation using 'brms' comprises ongoing work. Currently only continuous mediators and outcomes are supported. Factors for any predictors must be numerically represented.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: furrr, future, matrixcalc, MCMCpack, nlme, parallel, parallelly, stats, tidyr, brms, posterior
Suggests: testthat (>= 3.0.0), boot
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-02-28 00:21:41 UTC; CarlFalkMcGill
Author: Carl F. Falk [cre, aut], Todd Vogel [aut], Sarah Hammami [aut], Milica Miocevic [aut]
Repository: CRAN
Date/Publication: 2024-02-29 11:50:05 UTC

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Wed, 28 Feb 2024

New package gscramble with initial version 1.0.1
Package: gscramble
Title: Simulating Admixed Genotypes Without Replacement
Version: 1.0.1
Description: A genomic simulation approach for creating biologically informed individual genotypes from empirical data that 1) samples alleles from populations without replacement, 2) segregates alleles based on species-specific recombination rates. 'gscramble' is a flexible simulation approach that allows users to create pedigrees of varying complexity in order to simulate admixed genotypes. Furthermore, it allows users to track haplotype blocks from the source populations through the pedigrees.
License: CC0
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, glue, magrittr, purrr, readr, rlang, stats, stringr, tibble, tidyr
Suggests: cowplot, knitr, rmarkdown, tidyverse
VignetteBuilder: knitr
URL: https://github.com/eriqande/gscramble
BugReports: https://github.com/eriqande/gscramble/issues
NeedsCompilation: no
Packaged: 2024-02-27 23:41:47 UTC; eriq
Author: Eric C. Anderson [aut, cre] , Rachael M. Giglio [aut] , Matt G. DeSaix [aut] , Timothy J. Smyser [aut]
Maintainer: Eric C. Anderson <eric.anderson@noaa.gov>
Repository: CRAN
Date/Publication: 2024-02-28 19:10:05 UTC

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New package flap with initial version 0.1.0
Package: flap
Title: Forecast Linear Augmented Projection
Version: 0.1.0
Description: The Forecast Linear Augmented Projection (flap) method reduces forecast variance by adjusting the forecasts of multivariate time series to be consistent with the forecasts of linear combinations (components) of the series by projecting all forecasts onto the space where the linear constraints are satisfied. The forecast variance can be reduced monotonically by including more components. For a given number of components, the flap method achieves maximum forecast variance reduction among linear projections.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/FinYang/flap
BugReports: https://github.com/FinYang/flap/issues/
Imports: corpcor, utils
Suggests: forecast, stats
NeedsCompilation: no
Packaged: 2024-02-27 22:36:38 UTC; fyan0012
Author: Yangzhuoran Fin Yang [aut, cre]
Maintainer: Yangzhuoran Fin Yang <yangyangzhuoran@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-28 19:10:09 UTC

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New package rgl.cry with initial version 0.1.0
Package: rgl.cry
Title: 'cry' and 'rgl' — Applications in Crystallography
Version: 0.1.0
Description: Visualizing crystal structures and selected area electron diffraction (SAED) patterns. It provides functions cry_demo() and dp_demo() to load a file in 'CIF' (Crystallographic Information Framework) formats and display crystal structures and electron diffraction patterns. The function dp_demo() also performs simple simulation of powder X-ray diffraction (PXRD) patterns, and the results can be saved to a file in the working directory. The package has been tested on several platforms, including Linux on 'Crostini' with a Core™ m3-8100Y Chromebook, I found that even on this low-powered platform, the performance was acceptable. T. Hanashima (2001) <https://www2.kek.jp/imss/pf/tools/sasaki/sinram/sinram.html> Todd Helmenstine (2019) <https://sciencenotes.org/molecule-atom-colors-cpk-colors/> Wikipedia contributors (2023) <https://en.wikipedia.org/w/index.php?title=Atomic_radius&oldid=1179864711>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: cry, rgl, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
URL: https://github.com/SaitouToshihide/rgl.cry/, https://saitoutoshihide.github.io/rgl.cry/
Language: en-US
NeedsCompilation: no
Packaged: 2024-02-27 16:59:05 UTC; saitoutoshihide
Author: Toshihide Saitou [aut, cre, cph]
Maintainer: Toshihide Saitou <saitou.toshihide@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-02-28 18:30:02 UTC

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New package optimizeR with initial version 1.0.5
Package: optimizeR
Title: Unified Framework for Numerical Optimizers
Version: 1.0.5
Description: Provides a unified object-oriented framework for numerical optimizers in R. Allows for both minimization and maximization with any optimizer, optimization over more than one function argument, measuring of computation time, setting a time limit for long optimization tasks.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, pracma, rmarkdown, testthat
URL: https://loelschlaeger.de/optimizeR/, https://github.com/loelschlaeger/optimizeR/
BugReports: https://github.com/loelschlaeger/optimizeR/issues
Depends: R (>= 4.0.0)
Imports: checkmate, cli, lbfgsb3c, oeli (>= 0.4.1), R6, stats, TestFunctions, ucminf, utils
NeedsCompilation: no
Packaged: 2024-02-27 08:33:07 UTC; Oelschlaeger
Author: Lennart Oelschlaeger [aut, cre] , Marius Oetting [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-28 18:20:02 UTC

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New package gie with initial version 0.1.1
Package: gie
Title: API Wrapper for the Natural Gas Transparency Platforms of Gas Infrastructure Europe
Version: 0.1.1
Description: Providing access to the API for Gas Infrastructure Europe's natural gas transparency platforms <https://agsi.gie.eu/> and <https://alsi.gie.eu/>. Lets the user easily download metadata on companies and gas storage units covered by the API as well as the respective data on regional, country, company or facility level.
License: MIT + file LICENSE
Imports: curl, dplyr, httr, lubridate, magrittr, purrr, stringr
Suggests: rvest, testthat, textutils, vcr (>= 0.6.0)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-02-27 20:05:04 UTC; buhly
Author: Yannik Buhl [aut, cre]
Maintainer: Yannik Buhl <ybuhl@posteo.de>
Repository: CRAN
Date/Publication: 2024-02-28 18:40:02 UTC

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New package fdarep with initial version 0.1.0
Package: fdarep
Title: Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data
URL: https://github.com/functionaldata/tFDArep
BugReports: https://github.com/functionaldata/tFDArep/issues
Version: 0.1.0
Encoding: UTF-8
Date: 2024-02-26
Maintainer: Poorbita Kundu <pkundu@ucdavis.edu>
Description: Provides an implementation of two-dimensional functional principal component analysis (FPCA), Marginal FPCA, and Product FPCA for repeated functional data. Marginal and Product FPCA implementations are done for both dense and sparsely observed functional data. References: Chen, K., Delicado, P., & Müller, H. G. (2017) <doi:10.1111/rssb.12160>. Chen, K., & Müller, H. G. (2012) <doi:10.1080/01621459.2012.734196>. Hall, P., Müller, H.G. and Wang, J.L. (2006) <doi:10.1214/009053606000000272>. Yao, F., Müller, H. G., & Wang, J. L. (2005) <doi:10.1198/016214504000001745>.
License: BSD_3_clause + file LICENSE
Imports: Rcpp (>= 0.11.5), fdapace, Hmisc, stats, MASS, Matrix, pracma, numDeriv
LinkingTo: Rcpp, RcppEigen
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-02-27 16:03:14 UTC; poorbita
Author: Poorbita Kundu [aut, cre], Changbo Zhou [aut], Kehui Chen [aut], Pedro Delicado [aut], Su I Iao [aut], Hang Chen [aut], Han Chen [aut], Muqing Cui [aut], Hans-Georg Mueller [cph, ths, aut]
Repository: CRAN
Date/Publication: 2024-02-28 18:30:06 UTC

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New package CureAuxSP with initial version 0.0.1
Package: CureAuxSP
Title: Mixture Cure Models with Auxiliary Subgroup Survival Probabilities
Version: 0.0.1
Author: Jie Ding [aut, cre] , Jialiang Li [aut] , Mengxiu Zhang [aut] , Xiaoguang Wang [aut]
Maintainer: Jie Ding <dingjie@mail.dlut.edu.cn>
Description: Estimate mixture cure models with subgroup survival probabilities as auxiliary information. A reference of the underlying methods is Jie Ding, Jialiang Li and Xiaoguang Wang (2024) <doi:10.1093/jrsssc/qlad106>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: MASS, survival, lars, mvtnorm, methods, TCGAbiolinks
URL: <https://github.com/biostat-jieding/CureAuxSP>
NeedsCompilation: no
Packaged: 2024-02-27 21:04:54 UTC; biost
Repository: CRAN
Date/Publication: 2024-02-28 18:50:02 UTC

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New package ARMALSTM with initial version 0.1.0
Package: ARMALSTM
Title: Fitting of Hybrid ARMA-LSTM Models
Description: The real-life time series data are hardly pure linear or nonlinear. Merging a linear time series model like the autoregressive moving average (ARMA) model with a nonlinear neural network model such as the Long Short-Term Memory (LSTM) model can be used as a hybrid model for more accurate modeling purposes. Both the autoregressive integrated moving average (ARIMA) and autoregressive fractionally integrated moving average (ARFIMA) models can be implemented. Details can be found in Box et al. (2015, ISBN: 978-1-118-67502-1) and Hochreiter and Schmidhuber (1997) <doi:10.1162/neco.1997.9.8.1735>.
Author: Debopam Rakshit [aut, cre], Ritwika Das [aut], Dwaipayan Bardhan [aut]
Maintainer: Debopam Rakshit <rakshitdebopam@yahoo.com>
Version: 0.1.0
Encoding: UTF-8
License: GPL-3
Imports: rugarch, tseries, tensorflow, keras, reticulate
NeedsCompilation: no
Packaged: 2024-02-27 17:36:09 UTC; Debopam
Repository: CRAN
Date/Publication: 2024-02-28 18:30:11 UTC

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New package alarmdata with initial version 0.2.1
Package: alarmdata
Title: Download, Merge, and Process Redistricting Data
Version: 0.2.1
Description: Utility functions to download and process data produced by the ALARM Project, including 2020 redistricting files Kenny and McCartan (2021) <https://alarm-redist.org/posts/2021-08-10-census-2020/> and the 50-State Redistricting Simulations of McCartan, Kenny, Simko, Garcia, Wang, Wu, Kuriwaki, and Imai (2022) <doi:10.7910/DVN/SLCD3E>. The package extends the data introduced in McCartan, Kenny, Simko, Garcia, Wang, Wu, Kuriwaki, and Imai (2022) <doi:10.1038/s41597-022-01808-2> to also include states with only a single district.
Depends: R (>= 3.10)
Imports: rlang, cli, curl, dplyr, readr, stringr, sf, dataverse, censable, geomander (>= 2.1.0), tidyselect, redist (>= 4.2.0), redistmetrics, tinytiger, rappdirs
Suggests: rstudioapi, rmapshaper, testthat (>= 3.0.0), spelling
License: MIT + file LICENSE
URL: https://github.com/alarm-redist/alarmdata/, https://alarm-redist.org/alarmdata/
BugReports: https://github.com/alarm-redist/alarmdata/issues/
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-02-27 19:23:24 UTC; cmccartan
Author: Cory McCartan [aut, cre] , Christopher T. Kenny [aut] , Tyler Simko [aut] , Michael Zhao [aut] , Kosuke Imai [aut]
Maintainer: Cory McCartan <corymccartan@nyu.edu>
Repository: CRAN
Date/Publication: 2024-02-28 18:30:08 UTC

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New package vaxpmx with initial version 0.0.3
Package: vaxpmx
Title: Vaccines Pharmacometrics
Version: 0.0.3
Depends: R (>= 4.0)
Date: 2024-02-20
Maintainer: Julie Dudasova (MSD) <julie.dudasova@merck.com>
Description: Estimate vaccine efficacy (VE) using immunogenicity data. The inclusion of immunogenicity data in regression models can increase precision in VE. The methods are described in the publication "Elucidating vaccine efficacy using a correlate of protection, demographics, and logistic regression" by Julie Dudasova, Zdenek Valenta, and Jeffrey R. Sachs (2024).
License: GPL-3
Copyright: Copyright © 2024 Merck & Co., Inc., Rahway, NJ, USA and its affiliates. All rights reserved.
Encoding: UTF-8
LazyData: true
Imports: methods (>= 3.5.2), stats, MASS (>= 7.3-51.6), dplyr (>= 1.0.0),
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2024-02-27 09:11:11 UTC; vavrycuk
Author: Julie Dudasova [aut, cre]
Repository: CRAN
Date/Publication: 2024-02-28 11:50:02 UTC

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New package tsnet with initial version 0.1.0
Package: tsnet
Title: Fitting, Comparing, and Visualizing Networks Based on Time Series Data
Version: 0.1.0
Maintainer: Bjoern S. Siepe <bjoernsiepe@gmail.com>
Description: Fit, compare, and visualize Bayesian graphical vector autoregressive (GVAR) network models using 'Stan'. These models are commonly used in psychology to represent temporal and contemporaneous relationships between multiple variables in intensive longitudinal data. Fitted models can be compared with a test based on matrix norm differences of posterior point estimates to quantify the differences between two estimated networks. See also Siepe, Kloft & Heck (2024) <doi:10.31234/osf.io/uwfjc>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/bsiepe/tsnet
BugReports: https://github.com/bsiepe/tsnet/issues
Imports: cowplot, dplyr, ggdist, ggokabeito, ggplot2, methods, posterior, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rlang, rstan (>= 2.18.1), rstantools (>= 2.3.1.1), stats, tidyr, utils
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.4.0)
Biarch: true
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-02-27 07:01:04 UTC; Bjoern
Author: Bjoern S. Siepe [aut, cre, cph] , Matthias Kloft [aut] , Daniel W. Heck [ctb]
Repository: CRAN
Date/Publication: 2024-02-28 11:30:02 UTC

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New package MR.RGM with initial version 0.0.1
Package: MR.RGM
Title: Multivariate Bidirectional Mendelian Randomization Networks
Version: 0.0.1
Description: Addressing a central challenge encountered in Mendelian randomization (MR) studies, where MR primarily focuses on discerning the effects of individual exposures on specific outcomes and establishes causal links between them. Using a network-based methodology, the intricacy involving interdependent outcomes due to numerous factors has been tackled through this routine. Based on Ni et al. (2018) <doi:10.1214/17-BA1087>, 'MR.RGM' extends to a broader exploration of the causal landscape by leveraging on network structures and involves the construction of causal graphs that capture interactions between response variables and consequently between responses and instrument variables. 'MR.RGM' facilitates the navigation of various data availability scenarios effectively by accommodating three input formats, i.e., individual-level data and two types of summary-level data. In the process, causal effects, adjacency matrices, and other essential parameters of the complex biological networks, [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/bitansa/MR.RGM
BugReports: https://github.com/bitansa/MR.RGM/issues
Imports: Rcpp, stats
Suggests: MASS, igraph
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-02-26 23:43:41 UTC; BIKASH SARKAR
Author: Bitan Sarkar [aut, cre], Yang Ni [aut]
Maintainer: Bitan Sarkar <bitan@tamu.edu>
Repository: CRAN
Date/Publication: 2024-02-28 10:50:02 UTC

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Tue, 27 Feb 2024

New package pmartR with initial version 2.4.4
Package: pmartR
Title: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
Version: 2.4.4
Date: 2024-2-27
Description: Provides functionality for quality control processing and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data, as well as RNA-seq based count data and nuclear magnetic resonance (NMR) data. This includes data transformation, specification of groups that are to be compared against each other, filtering of features and/or samples, data normalization, data summarization (correlation, PCA), and statistical comparisons between defined groups. Implements methods described in: Webb-Robertson et al. (2014) <doi:10.1074/mcp.M113.030932>. Webb-Robertson et al. (2011) <doi:10.1002/pmic.201100078>. Matzke et al. (2011) <doi:10.1093/bioinformatics/btr479>. Matzke et al. (2013) <doi:10.1002/pmic.201200269>. Polpitiya et al. (2008) <doi:10.1093/bioinformatics/btn217>. Webb-Robertson et al. (2010) <doi:10.1021/pr1005247>.
License: BSD_2_clause + file LICENSE
Depends: R (>= 3.5.0)
URL: https://pmartr.github.io/pmartR/, https://github.com/pmartR/pmartR
BugReports: https://github.com/pmartR/pmartR/issues
LinkingTo: Rcpp, RcppArmadillo, BH
Imports: Rcpp (>= 0.12.8), data.table, doParallel, dplyr, ggplot2, e1071, foreach, methods, mvtnorm, pcaMethods, purrr, rrcov, stringr, tidyr (>= 1.3.0), RColorBrewer, magrittr, parallelly, patchwork, glmpca,
Suggests: knitr, limma, rmarkdown, edgeR, DESeq2, plotly, scales, S4Vectors, survival, testthat, trelliscopejs, pmartRdata, vdiffr
Additional_repositories: https://pmartR.github.io/drat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-02-27 19:47:09 UTC; clab683
Author: Lisa Bramer [aut, cre], Kelly Stratton [aut], Daniel Claborne [aut], Evan Glasscock [ctb], Rachel Richardson [ctb], David Degnan [ctb], Evan Martin [ctb]
Maintainer: Lisa Bramer <lisa.bramer@pnnl.gov>
Repository: CRAN
Date/Publication: 2024-02-27 21:20:02 UTC

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New package tractor.base with initial version 3.4.2
Package: tractor.base
Version: 3.4.2
Date: 2024-02-27
Title: Read, Manipulate and Visualise Magnetic Resonance Images
Author: Jon Clayden
Maintainer: Jon Clayden <code@clayden.org>
Imports: methods, ore (>= 1.3.0), reportr, shades, RNifti
Suggests: mmand, loder, divest, jsonlite, yaml, tinytest
Enhances: oro.nifti
Description: Functions for working with magnetic resonance images. Reading and writing of popular file formats (DICOM, Analyze, NIfTI-1, NIfTI-2, MGH); interactive and non-interactive visualisation; flexible image manipulation; metadata and sparse image handling.
Encoding: UTF-8
License: GPL-2
URL: https://www.tractor-mri.org.uk, https://github.com/tractor/tractor
BugReports: https://github.com/tractor/tractor/issues
NeedsCompilation: no
Packaged: 2024-02-27 17:14:47 UTC; jon
Repository: CRAN
Date/Publication: 2024-02-27 19:40:02 UTC

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New package toxSummary with initial version 1.0.0
Package: toxSummary
Title: Visualize and Summarize Repeat-Dose Toxicology Study Results
Version: 1.0.0
Description: A 'shiny' app that generates plots and summary tables from repeat-dose toxicology study results to facilitate holistic evaluation of the drug safety of active pharmaceutical ingredients (API) prior to initiation of clinical trials.
License: MIT + file LICENSE
URL: https://github.com/phuse-org/toxSummary
BugReports: https://github.com/phuse-org/toxSummary/issues
Encoding: UTF-8
Imports: cicerone, data.table, DBI, dplyr, DT, flextable, fs, ggiraph, ggplot2, htmltools, magrittr, patchwork, rlang, RSQLite, scales, shiny, shinycssloaders, shinydisconnect, stringr
Depends: R (>= 2.10)
Suggests: knitr, officer, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-26 19:25:22 UTC; Md.Ali
Author: Yousuf Ali [cre, aut], Kevin Snyder [aut], FDA [cph]
Maintainer: Yousuf Ali <md.ali@fda.hhs.gov>
Repository: CRAN
Date/Publication: 2024-02-27 17:30:02 UTC

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New package HDNRA with initial version 1.0.0
Package: HDNRA
Title: High-Dimensional Location Testing with Normal-Reference Approaches
Version: 1.0.0
Author: Pengfei Wang [aut, cre], Shuqi Luo [aut], Tianming Zhu [aut], Bu Zhou [aut]
Maintainer: Pengfei Wang <nie23.wp8738@e.ntu.edu.sg>
Description: We provide a collection of various classical tests and latest normal-reference tests for comparing high-dimensional mean vectors including two-sample and general linear hypothesis testing (GLHT) problem. Some existing tests for two-sample problem [see Bai, Zhidong, and Hewa Saranadasa.(1996) <https://www.jstor.org/stable/24306018>; Chen, Song Xi, and Ying-Li Qin.(2010) <doi:10.1214/09-aos716>; Srivastava, Muni S., and Meng Du.(2008) <doi:10.1016/j.jmva.2006.11.002>; Srivastava, Muni S., Shota Katayama, and Yutaka Kano.(2013)<doi:10.1016/j.jmva.2012.08.014>]. Normal-reference tests for two-sample problem [see Zhang, Jin-Ting, Jia Guo, Bu Zhou, and Ming-Yen Cheng.(2020) <doi:10.1080/01621459.2019.1604366>; Zhang, Jin-Ting, Bu Zhou, Jia Guo, and Tianming Zhu.(2021) <doi:10.1016/j.jspi.2020.11.008>; Zhang, Liang, Tianming Zhu, and Jin-Ting Zhang.(2020) <doi:10.1016/j.ecosta.2019.12.002>; Zhang, Liang, Tianming Zhu, and Jin-Ting Zhang.(2023) <doi [...truncated...]
License: GPL (>= 3)
URL: https://nie23wp8738.github.io/HDNRA/
BugReports: https://github.com/nie23wp8738/HDNRA/issues
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: expm, Rcpp, Rdpack, readr, stats
Suggests: devtools, dplyr, knitr, rmarkdown, spelling, testthat (>= 3.0.0), tidyr
Depends: R (>= 2.10)
LazyData: true
Language: en-US
NeedsCompilation: yes
Packaged: 2024-02-26 19:37:52 UTC; yehe
Repository: CRAN
Date/Publication: 2024-02-27 17:40:02 UTC

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New package FaaSr with initial version 1.1.2
Package: FaaSr
Title: FaaS (Function as a Service) Package
Version: 1.1.2
Maintainer: Figueiredo Renato <renatof@ufl.edu>
Description: Allows users to create and deploy the workflow with multiple functions in Function-as-a-Service (FaaS) cloud computing platforms. The 'FaaSr' package makes it simpler for R developers to use FaaS platforms by providing the following functionality: 1) Parsing and validating a JSON-based payload compliant to 'FaaSr' schema supporting multiple FaaS platforms 2) Invoking user functions written in R in a Docker container (derived from rocker), using a list generated from the parser as argument 3) Downloading/uploading of files from/to S3 buckets using simple primitives 4) Logging to files in S3 buckets 5) Triggering downstream actions supporting multiple FaaS platforms 6) Generating FaaS-specific API calls to simplify the registering of a user's workflow with a FaaS platform Supported FaaS platforms: Apache OpenWhisk <https://openwhisk.apache.org/> GitHub Actions <https://github.com/features/actions> Amazon Web Services (AWS) Lambda <https://aws.amazon.com/lambda/> Support [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/FaaSr/FaaSr-package
BugReports: https://github.com/FaaSr/FaaSr-package/issues
Depends: R (>= 3.5.0)
Imports: jsonlite, httr, uuid, paws.application.integration, paws.compute, paws.storage, paws.security.identity, cli, jsonvalidate, base64enc, sodium
Suggests: arrow, glue, rmarkdown, paws.common, testthat, knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-02-26 18:52:23 UTC; spark
Author: Figueiredo Renato [aut, cre, ths, cph] , Park Sungjae [aut], Mu Nan [ctb], Ku Yun-Jung [ctb], Daneshmand Vahid [ctb], Thomas R. Quinn [aut], Carey Cayelan [ctb]
Repository: CRAN
Date/Publication: 2024-02-27 17:40:07 UTC

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New package bcf with initial version 2.0.2
Package: bcf
Title: Causal Inference using Bayesian Causal Forests
Version: 2.0.2
Date: 2024-02-23
Description: Causal inference for a binary treatment and continuous outcome using Bayesian Causal Forests. See Hahn, Murray and Carvalho (2020) <doi:10.1214/19-BA1195> for additional information. This implementation relies on code originally accompanying Pratola et. al. (2013) <arXiv:1309.1906>.
License: GPL-3
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
NeedsCompilation: yes
Repository: CRAN
Imports: Rcpp, RcppParallel, coda (>= 0.19.3), Hmisc, parallel, doParallel, foreach, matrixStats
Suggests: testthat, spelling, knitr, rmarkdown, latex2exp, ggplot2, rpart, rpart.plot, partykit
SystemRequirements: GNU make
Language: en-US
VignetteBuilder: knitr
Encoding: UTF-8
Packaged: 2024-02-26 18:19:22 UTC; jm75583
Author: Jared S. Murray [aut, cre], P. Richard Hahn [aut], Carlos Carvalho [aut], Peter Mariani [ctb], Constance Delannoy [ctb], Mariel Finucane [ctb], Lauren V. Forrow [ctb], Drew Herren [ctb]
Maintainer: Jared S. Murray <jared.murray@mccombs.utexas.edu>
Date/Publication: 2024-02-27 17:30:05 UTC

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New package wingen with initial version 2.1.1
Package: wingen
Title: Continuous Mapping of Genetic Diversity
Version: 2.1.1
Description: Generate continuous maps of genetic diversity using moving windows with options for rarefaction, interpolation, and masking as described in Bishop et al. (2023) <doi:10.1111/2041-210X.14090>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: automap, crayon, dplyr, furrr, gdistance, graphics, grDevices, ggplot2, hierfstat, magrittr, pegas, purrr, raster, rlang, sf, terra, tidyr, tidyselect, utils, vcfR, viridis
Suggests: adegenet, covr, devtools, future, knitr, MASS, rmarkdown, stringr, SpatialKDE, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-02-25 18:16:05 UTC; wanglab
Author: Anusha Bishop [aut, cre] , Anne Chambers [aut] , Ian Wang [aut]
Maintainer: Anusha Bishop <anusha.bishop@berkeley.edu>
Repository: CRAN
Date/Publication: 2024-02-27 16:40:03 UTC

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New package recmetrics with initial version 0.1.0
Package: recmetrics
Title: Psychometric Evaluation Using Relative Excess Correlations
Version: 0.1.0
Description: Modern results of psychometric theory are implemented to provide users with a way of evaluating the internal structure of a set of items guided by theory. These methods are discussed in detail in VanderWeele and Padgett (2024) <doi:10.31234/osf.io/rnbk5>. The relative excess correlation matrices will, generally, have numerous negative entries even if all of the raw correlations between each pair of indicators are positive. The positive deviations of the relative excess correlation matrix entries help identify clusters of indicators that are more strongly related to one another, providing insights somewhat analogous to factor analysis, but without the need for rotations or decisions concerning the number of factors. A goal similar to exploratory/confirmatory factor analysis, but 'recmetrics' uses novel methods that do not rely on assumptions of latent variables or latent variable structures.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: dplyr, lifecycle, magrittr, stats, tidyselect
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
URL: https://noah-padgett.github.io/recmetrics/
NeedsCompilation: no
Packaged: 2024-02-26 16:54:17 UTC; noahp
Author: R. Noah Padgett [aut, cre, cph]
Maintainer: R. Noah Padgett <npadgett@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2024-02-27 16:50:02 UTC

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New package pctax with initial version 0.1.0
Package: pctax
Title: Professional Comprehensive Omics Data Analysis
Version: 0.1.0
Description: Provides a comprehensive suite of tools for analyzing omics data. It includes functionalities for alpha diversity analysis, beta diversity analysis, differential abundance analysis, community assembly analysis, visualization of phylogenetic tree, and functional enrichment analysis. With a progressive approach, the package offers a range of analysis methods to explore and understand the complex communities. It is designed to support researchers and practitioners in conducting in-depth and professional omics data analysis.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: pcutils, dplyr, ggplot2 (>= 3.2.0), vegan, magrittr, grDevices, RColorBrewer, reshape2, stats, tibble, utils, scales
Suggests: picante, ade4, NST, ggrepel, permute, ggpubr, aplot, pheatmap, ggpmisc, MASS, Rtsne, mixOmics, geosphere, ggnewscale, phyloseq, phyloseqGraphTest, plotly, umap, Hmisc, minpack.lm, bbmle, snow, foreach, doSNOW, patchwork, tidytree, ggtree, ggtreeExtra, vctrs, zoo, ape, DESeq2, limma, ALDEx2, Mfuzz, edgeR, methods, randomForest, knitr, rmarkdown, MetaNet, jsonlite, prettydoc, clipr, zetadiv
VignetteBuilder: knitr
BugReports: https://github.com/Asa12138/pctax/issues
URL: https://github.com/Asa12138/pctax
ByteCompile: true
NeedsCompilation: no
Packaged: 2024-02-26 06:56:31 UTC; asa
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <pengchen2001@zju.edu.cn>
Repository: CRAN
Date/Publication: 2024-02-27 16:40:07 UTC

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New package eurlex with initial version 0.4.7
Package: eurlex
Title: Retrieve Data on European Union Law
Version: 0.4.7
Description: Access to data on European Union laws and court decisions made easy with pre-defined 'SPARQL' queries and 'GET' requests. See Ovadek (2021) <doi:10.1080/2474736X.2020.1870150> .
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: magrittr, dplyr, xml2, tidyr, httr, curl, rvest, rlang, stringr, readr, pdftools, antiword
Suggests: knitr, rmarkdown, tidytext, wordcloud, purrr, ggplot2, ggiraph, testthat (>= 3.0.0)
URL: https://michalovadek.github.io/eurlex/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-25 21:13:35 UTC; uctqova
Author: Michal Ovadek [aut, cre, cph]
Maintainer: Michal Ovadek <michal.ovadek@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-27 16:30:02 UTC

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New package arcgislayers with initial version 0.2.0
Package: arcgislayers
Title: An Interface to ArcGIS Data Services
Version: 0.2.0
Description: Enables users of 'ArcGIS Enterprise', 'ArcGIS Online', or 'ArcGIS Platform' to read, write, publish, or manage vector and raster data via ArcGIS location services REST API endpoints <https://developers.arcgis.com/rest/>.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: arcgisutils (>= 0.2.0), cli, httr2 (>= 1.0.0), jsonify, lifecycle, RcppSimdJson, rlang, sf, terra, utils
Suggests: dbplyr, dplyr, rmarkdown, testthat (>= 3.0.0), tidyselect, vctrs
NeedsCompilation: no
Packaged: 2024-02-26 17:54:40 UTC; josiahparry
Author: Josiah Parry [aut, cre] , Eli Pousson [ctb] , Kenneth Vernon [ctb] , Martha Bass [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-27 17:00:05 UTC

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Mon, 26 Feb 2024

New package preventr with initial version 0.9.0
Package: preventr
Title: An Implementation of the AHA PREVENT Equations
Version: 0.9.0
Description: Implements the American Heart Association (AHA) Predicting Risk of cardiovascular disease EVENTs (PREVENT) equations from Khan SS, Matsushita K, Sang Y, and colleagues (2024) <doi:10.1161/CIRCULATIONAHA.123.067626>.
License: MIT + file LICENSE
URL: https://martingmayer.com/preventr, https://github.com/martingmayer/preventr
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: dplyr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-02-25 13:49:11 UTC; MartyMayer
Author: Martin Mayer [aut, cre, cph]
Maintainer: Martin Mayer <mmayer@ebsco.com>
Repository: CRAN
Date/Publication: 2024-02-26 19:20:02 UTC

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New package growthcleanr with initial version 2.2.0
Package: growthcleanr
Title: Data Cleaner for Anthropometric Measurements
Version: 2.2.0
Description: Identifies implausible anthropometric (e.g., height, weight) measurements in irregularly spaced longitudinal datasets, such as those from electronic health records.
URL: https://carriedaymont.github.io/growthcleanr/index.html, https://github.com/carriedaymont/growthcleanr
BugReports: https://github.com/carriedaymont/growthcleanr/issues
Imports: R.utils (>= 2.11.0), data.table (>= 1.13.0), tidyr (>= 1.1.0), plyr (>= 1.8.6), dplyr (>= 1.0.1), foreach (>= 1.5.0), doParallel (>= 1.0.15), labelled (>= 2.5.0), magrittr (>= 1.5)
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: argparser (>= 0.6), bit64 (>= 4.0.2), knitr (>= 1.29), rmarkdown (>= 2.3), testthat (>= 2.3.2)
NeedsCompilation: no
Packaged: 2024-02-22 21:16:30 UTC; HDELOSSANTOS
Author: Carrie Daymont [ctb, cre], Robert Grundmeier [aut], Jeffrey Miller [aut], Diego Campos [aut], Dan Chudnov [ctb], Hannah De los Santos [ctb], Lusha Cao [ctb], Steffani Silva [ctb], Hanzhe Zhang [ctb], Matt Boyas [ctb], David Freedman [ctb], Andreas Ac [...truncated...]
Maintainer: Carrie Daymont <cdaymont@pennstatehealth.psu.edu>
Repository: CRAN
Date/Publication: 2024-02-26 19:30:02 UTC

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New package connectoModa with initial version 1.0.0
Package: connectoModa
Title: Download Data from Moda
Version: 1.0.0
Description: Connect to WFP's Moda platform to R, download data, and obtain the list of individuals with access to the project along with their access level.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, readr
NeedsCompilation: no
Packaged: 2024-02-24 16:43:33 UTC; USER MSI
Author: Idrissa DABO [aut, cre]
Maintainer: Idrissa DABO <ididabo@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-26 19:10:02 UTC

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New package camtrapR with initial version 2.3.0
Package: camtrapR
Title: Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses
Version: 2.3.0
Date: 2024-02-24
Depends: R (>= 3.1.0)
Imports: data.table, generics, ggplot2, lubridate, methods, secr, sf
Suggests: abind, coda, DT, knitr, lattice, leaflet, magick, mapview, nimble, nimbleEcology, overlap, parallel, plotly, reshape2, rjags, R.rsp, RSQLite, ritis, rmarkdown, shiny, shinydashboard, tesseract, taxize, terra, testthat, tibble, units, unmarked, zip
VignetteBuilder: R.rsp
SystemRequirements: ExifTool (https://exiftool.org/)
Description: Management of and data extraction from camera trap data in wildlife studies. The package provides a workflow for storing and sorting camera trap photos (and videos), tabulates records of species and individuals, and creates detection/non-detection matrices for occupancy and spatial capture-recapture analyses with great flexibility. In addition, it can visualise species activity data and provides simple mapping functions with GIS export.
URL: https://github.com/jniedballa/camtrapR, https://jniedballa.github.io/camtrapR/, https://groups.google.com/forum/#!forum/camtrapr
BugReports: https://groups.google.com/forum/#!forum/camtrapr
Encoding: UTF-8
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-02-25 18:00:47 UTC; niedballa
Author: Juergen Niedballa [aut, cre] , Alexandre Courtiol [aut] , Rahel Sollmann [aut] , John Mathai [ctb], Seth Timothy Wong [ctb] , An The Truong Nguyen [ctb] , Azlan bin Mohamed [ctb] , Andrew Tilker [ctb] , Roshan Guharajan [ctb] , Ioannis Alexiou [ctb] [...truncated...]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-26 19:40:02 UTC

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New package raybevel with initial version 0.1.1
Package: raybevel
Title: Generates Polygon Straight Skeletons and 3D Bevels
Version: 0.1.1
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Description: Generates polygon straight skeletons and 3D models. Provides functions to create and visualize interior polygon offsets, 3D beveled polygons, and 3D roof models.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.2)
Imports: progress, digest, decido, rayvertex (>= 0.10.4), sf, grid
LinkingTo: Rcpp, BH, RcppCGAL, progress, RcppThread (>= 2.1.6)
Suggests: spData, rayrender, testthat (>= 3.0.0), ggplot2, png
URL: https://www.raybevel.com, https://github.com/tylermorganwall/raybevel/
BugReports: https://github.com/tylermorganwall/raybevel/issues
NeedsCompilation: yes
Packaged: 2024-02-23 17:53:11 UTC; tyler
Author: Tyler Morgan-Wall [aut, cph, cre]
Repository: CRAN
Date/Publication: 2024-02-26 19:00:02 UTC

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New package clusEvol with initial version 1.0.0
Package: clusEvol
Title: A Procedure for Cluster Evolution Analytics
Version: 1.0.0
Date: 2024-02-19
Maintainer: Victor Morales-Onate <victor.morales@uv.cl>
Description: Cluster Evolution Analytics allows us to use exploratory what if questions in the sense that the present information of an object is plugged-in a dataset in a previous time frame so that we can explore its evolution (and of its neighbors) to the present. See the URL for the papers associated with this package, as for instance, Morales-Oñate and Morales-Oñate (2024) <https://mpra.ub.uni-muenchen.de/120220>.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2,plotly,cluster,fpc,viridis,clusterSim,dplyr
Repository: CRAN
URL: https://github.com/vmoprojs/clusEvol
BugReports: https://github.com/vmoprojs/clusEvol/issues
LazyData: true
NeedsCompilation: no
Packaged: 2024-02-23 23:27:37 UTC; victormorales
Author: Victor Morales-Onate [aut, cre] , Bolivar Morales-Onate [aut]
Date/Publication: 2024-02-26 18:50:02 UTC

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New package CFO with initial version 1.0.0
Package: CFO
Title: CFO-Type Designs in Phase I Clinical Trials
Version: 1.0.0
Imports: survival,dplyr,ggplot2,Iso
Description: In phase I clinical trials, the primary objective is to ascertain the maximum tolerated dose (MTD) corresponding to a specified target toxicity rate. The 'CFO' package facilitates the implementation of dose-finding trials by utilizing calibration-free odds type (CFO-type) designs. Specifically, it encompasses the calibration-free odds (CFO) (Jin and Yin (2022) <doi:10.1177/09622802221079353>), two-dimensional CFO (2dCFO) (Wang et al. (2023) <doi:10.3389/fonc.2023.1294258>), time-to-event CFO (TITE-CFO) (Jin and Yin (2023) <doi:10.1002/pst.2304>), fractional CFO (fCFO), accumulative CFO (aCFO), TITE-aCFO, and f-aCFO designs. The ‘CFO' package accommodates diverse CFO-type designs, allowing users to tailor the approach based on factors such as dose information inclusion, handling of late-onset toxicity, and the nature of the target drug (single-drug or drug-combination). The functionalities embedded in 'CFO' package include the determination of the dose level for the ne [...truncated...]
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-02-24 08:57:57 UTC; nikkifang
Author: Jialu Fang [aut, cre], Wenliang Wang [aut], Guosheng Yin [aut]
Maintainer: Jialu Fang <u3008682@connect.hku.hk>
Repository: CRAN
Date/Publication: 2024-02-26 19:00:08 UTC

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New package bigrquerystorage with initial version 1.0.0
Package: bigrquerystorage
Title: An Interface to Google's 'BigQuery Storage' API
Version: 1.0.0
Maintainer: Bruno Tremblay <openr@neoxone.com>
Description: Easily talk to Google's 'BigQuery Storage' API from R (<https://cloud.google.com/bigquery/docs/reference/storage/rpc>).
License: Apache License (>= 2)
Imports: arrow, methods, rlang, DBI, bigrquery, assertthat, Rcpp, lifecycle, bit64, tibble
Suggests: testthat, hms, wk, tzdb, base64enc
LinkingTo: Rcpp
Encoding: UTF-8
URL: https://github.com/meztez/bigrquerystorage
BugReports: https://github.com/meztez/bigrquerystorage/issues
SystemRequirements: grpc/protobuf headers and compilers. For example libprotobuf-dev libgrpc++-dev protobuf-compiler-grpc (Debian) or protobuf-devel grpc-devel grpc-plugins (Fedora/RHEL)
Biarch: TRUE
NeedsCompilation: yes
Packaged: 2024-02-24 01:11:06 UTC; bruno
Author: Bruno Tremblay [aut, cre], Google LLC [cph, fnd]
Repository: CRAN
Date/Publication: 2024-02-26 19:00:05 UTC

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New package Unico with initial version 0.1.0
Package: Unico
Title: Unified Cross-Omics Deconvolution
Version: 0.1.0
Description: UNIfied Cross-Omics deconvolution (Unico) deconvolves standard 2-dimensional bulk matrices of samples by features into a 3-dimensional tensors representing samples by features by cell types. Unico stands out as the first principled model-based deconvolution method that is theoretically justified for any heterogeneous genomic data. For more details see Chen and Rahmani et al. (2024) <doi:10.1101/2024.01.27.577588>.
License: GPL-3
URL: https://cozygene.github.io/Unico/
BugReports: https://github.com/cozygene/Unico/issues
Depends: R (>= 4.0.0)
Imports: compositions, config, data.table, futile.logger, MASS, matrixcalc, matrixStats, mgcv, nloptr, parallel, pbapply, pracma, stats, testit, utils
Suggests: egg, hexbin, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-02-23 18:25:07 UTC; johnsonchen
Author: Zeyuan Chen [aut, cre], Elior Rahmani [aut]
Maintainer: Zeyuan Chen <johnsonchen@cs.ucla.edu>
Repository: CRAN
Date/Publication: 2024-02-26 16:50:06 UTC

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New package smcryptoR with initial version 0.1.1
Package: smcryptoR
Title: ShangMi(SM) Cryptographic Algorithms(SM2/SM3/SM4)
Version: 0.1.1
Description: Bindings to 'smcrypto' <https://github.com/zhuobie/smcrypto>: a 'Rust' implementation of China's Standards of Encryption Algorithms, which is usually called 'ShangMi(SM)' algorithms. It contains 'SM3' message digest algorithm, 'SM2' asymmetric encryption algorithm and 'SM4' symmetric encryption algorithm. Users can do message hash, encrypt/decrypt, sign/verify, key exchange and more.
License: MIT + file LICENSE
URL: https://github.com/zhuobie/smcryptoR
BugReports: https://github.com/zhuobie/smcryptoR/issues
Depends: R (>= 4.2)
SystemRequirements: Cargo (Rust's package manager), rustc
Biarch: true
NeedsCompilation: yes
Packaged: 2024-02-23 10:11:00 UTC; yumeng
Maintainer: Meng Yu <610074@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-26 16:30:04 UTC
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Author: Meng Yu [aut, cre]

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New package sanketphonetictranslator with initial version 0.1.0
Package: sanketphonetictranslator
Title: Phonetic Transliteration Between Hindi and English
Version: 0.1.0
Description: Facilitate phonetic transliteration between different languages. With support for both Hindi and English, this package provides a way to convert text between Hindi and English dataset. Whether you're working with multilingual data or need to convert dataset for analysis or presentation purposes, it offers a simple and efficient solution and harness the power of phonetic transliteration in your projects with this versatile package.
License: AGPL (>= 3)
Encoding: UTF-8
Imports: Rcpp, readr, stringi, stringr, utils
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-02-23 06:44:49 UTC; user
Author: Sanket Gharat [aut, cre]
Maintainer: Sanket Gharat <sanketgharat234@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-26 16:20:07 UTC

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New package Rapi with initial version 1.0.4
Package: Rapi
Title: Interface for Multiple Data Providers 'EDDS' and 'FRED'
Version: 1.0.4
Date: 2024-02-19
Maintainer: Sermet Pekin <sermetpekin@gmail.com>
URL: https://github.com/DataRapi/Rapi, https://DataRapi.github.io/Rapi/
BugReports: https://github.com/DataRapi/Rapi/issues
Description: Interface for multiple data sources, such as the 'EDDS' API <https://evds2.tcmb.gov.tr/index.php?/evds/userDocs> of the Central Bank of the Republic of Türkiye and the 'FRED' API <https://fred.stlouisfed.org/docs/api/fred/> of the Federal Reserve Bank. Both data providers require API keys for access, which users can easily obtain by creating accounts on their respective websites. The package provides caching ability with the selection of periods to increase the speed and efficiency of requests. It combines datasets requested from different sources, helping users when the data has common frequencies. While combining data frames whenever possible, it also keeps all requested data available as separate data frames to increase efficiency.
License: MIT + file LICENSE
LinkingTo: Rcpp
Depends: R (>= 3.4.3), Rcpp
Imports: crayon, digest, dplyr, httr, httr2, glue, jsonlite, lubridate, magrittr, purrr, rlang, rlist, stringr, tibble
Suggests: writexl , devtools, testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-02-23 04:32:22 UTC; sermetpekin
Author: Sermet Pekin [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-02-26 16:20:09 UTC

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New package comets with initial version 0.0-1
Package: comets
Title: Covariance Measure Tests for Conditional Independence
Version: 0.0-1
Description: Covariance measure tests for conditional independence testing against conditional covariance and nonlinear conditional mean alternatives. Contains versions of the generalised covariance measure test (Shah and Peters, 2020, <doi:10.1214/19-aos1857>) and projected covariance measure test (Lundborg et al., 2023, <doi:10.48550/arXiv.2211.02039>). Applications can be found in Kook and Lundborg (2024, <doi:10.48550/arXiv.2402.14416>).
Imports: ranger, glmnet, Formula
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), ggplot2, tidyr, dplyr
NeedsCompilation: no
Packaged: 2024-02-23 11:32:04 UTC; stigler
Author: Lucas Kook [aut, cre], Anton Rask Lundborg [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-26 16:30:15 UTC

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New package cards with initial version 0.1.0
Package: cards
Title: Analysis Results Data
Version: 0.1.0
Description: Construct Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Results Data objects. These objects are used and re-used to construct summary tables, visualizations, and written reports. The package also exports utilities for working with these objects and creating new Analysis Results Data objects.
License: Apache License 2.0
URL: https://github.com/insightsengineering/cards, https://insightsengineering.github.io/cards/
BugReports: https://github.com/insightsengineering/cards/issues
Depends: R (>= 4.1)
Imports: cli (>= 3.6.1), dplyr (>= 1.1.2), glue (>= 1.6.2), rlang (>= 1.1.1), tidyr (>= 1.3.0), tidyselect (>= 1.2.0)
Suggests: spelling (>= 2.2.0), testthat (>= 3.2.0), withr (>= 3.0.0)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-02-23 19:34:31 UTC; sjobergd
Author: Daniel D. Sjoberg [aut, cre] , Becca Krouse [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-26 16:50:02 UTC

More information about cards at CRAN
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New package BayesCVI with initial version 1.0.0
Package: BayesCVI
Title: Bayesian Cluster Validity Index
Version: 1.0.0
Imports: e1071, mclust, ggplot2, UniversalCVI
Description: Algorithms for computing and generating plots with and without error bars for Bayesian cluster validity index (BCVI) (N. Wiroonsri, O. Preedasawakul (2024) <arXiv:2402.02162>) based on several underlying cluster validity indexes (CVIs) including Calinski-Harabasz, Chou-Su-Lai, Davies-Bouldin, Dunn, Pakhira-Bandyopadhyay-Maulik, Point biserial correlation, the score function, Starczewski, and Wiroonsri indices for hard clustering, and Correlation Cluster Validity, the generalized C, HF, KWON, KWON2, Modified Pakhira-Bandyopadhyay-Maulik, Pakhira-Bandyopadhyay-Maulik, Tang, Wiroonsri-Preedasawakul, Wu-Li, and Xie-Beni indices for soft clustering. The package is compatible with K-means, fuzzy C means, EM clustering, and hierarchical clustering (single, average, and complete linkage). Though BCVI is compatible with any underlying existing CVIs, we recommend users to use either WI or WP as the underlying CVI.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-02-23 03:38:32 UTC; lenovo
Author: Nathakhun Wiroonsri [aut] , Onthada Preedasawakul [cre, aut]
Maintainer: Onthada Preedasawakul <o.preedasawakul@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-26 16:20:12 UTC

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New package RprobitB with initial version 1.1.4
Package: RprobitB
Title: Bayesian Probit Choice Modeling
Version: 1.1.4
Description: Bayes estimation of probit choice models, both in the cross-sectional and panel setting. The package can analyze binary, multivariate, ordered, and ranked choices, as well as heterogeneity of choice behavior among deciders. The main functionality includes model fitting via Markov chain Monte Carlo m ethods, tools for convergence diagnostic, choice data simulation, in-sample and out-of-sample choice prediction, and model selection using information criteria and Bayes factors. The latent class model extension facilitates preference-based decider classification, where the number of latent classes can be inferred via the Dirichlet process or a weight-based updating heuristic. This allows for flexible modeling of choice behavior without the need to impose structural constraints. For a reference on the method see Oelschlaeger and Bauer (2021) <https://trid.trb.org/view/1759753>.
URL: https://loelschlaeger.de/RprobitB/, https://github.com/loelschlaeger/RprobitB
BugReports: https://github.com/loelschlaeger/RprobitB/issues
License: GPL-3
Encoding: UTF-8
Imports: checkmate, cli, crayon, doSNOW, foreach, ggplot2, graphics, gridExtra, MASS, mixtools, mvtnorm, oeli (>= 0.4.1), parallel, plotROC, progress, Rcpp, Rdpack, rlang, stats, utils, viridis
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, mlogit, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2024-02-26 10:52:22 UTC; loelschlaeger@ad.uni-bielefeld.de
Author: Lennart Oelschlaeger [aut, cre] , Dietmar Bauer [aut] , Sebastian Buescher [ctb], Manuel Batram [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-26 14:10:06 UTC

More information about RprobitB at CRAN
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Sat, 24 Feb 2024

New package fHMM with initial version 1.2.2
Package: fHMM
Title: Fitting Hidden Markov Models to Financial Data
Version: 1.2.2
Description: Fitting (hierarchical) hidden Markov models to financial data via maximum likelihood estimation. See Oelschläger, L. and Adam, T. "Detecting bearish and bullish markets in financial time series using hierarchical hidden Markov models" (2021, Statistical Modelling) <doi:10.1177/1471082X211034048> for a reference.
Language: en-US
URL: https://loelschlaeger.de/fHMM/
BugReports: https://github.com/loelschlaeger/fHMM/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: checkmate, cli, foreach, graphics, grDevices, MASS, oeli (>= 0.3.0), padr, progress, Rcpp, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: covr, doSNOW, knitr, parallel, rmarkdown, testthat (>= 3.0.0), tseries
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2024-02-24 19:37:38 UTC; Oelschlaeger
Author: Lennart Oelschlaeger [aut, cre] , Timo Adam [aut] , Rouven Michels [aut]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-24 21:20:03 UTC

More information about fHMM at CRAN
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