New package ProcMod with initial version 1.0.8
Package: ProcMod
Title: Informative Procrustean Matrix Correlation
Version: 1.0.8
Author: Eric Coissac, Christelle Gonindard-Melodelima
Maintainer: Eric Coissac <eric.coissac@metabarcoding.org>
Description: Estimates corrected Procrustean correlation between matrices for removing overfitting effect. Coissac Eric and Gonindard-Melodelima Christelle (2019) <doi:10.1101/842070>.
License: CeCILL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: MASS, permute, Matrix, stats, foreach, Rdpack
Suggests: knitr, rmarkdown, roxygen2, vegan, testthat, ade4, doParallel
RdMacros: Rdpack
Collate: 'internals.R' 'procmod_frame.R' 'multivariate.R' 'procmod.R' 'covls.R' 'corls_test.R' 'procuste.R' 'simulate.R'
NeedsCompilation: no
Packaged: 2021-05-11 13:33:05 UTC; coissac
Repository: CRAN
Date/Publication: 2021-05-12 06:52:11 UTC

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New package GreedyEPL with initial version 1.1
Package: GreedyEPL
Title: Greedy Expected Posterior Loss
Version: 1.1
Date: 2021-05-11
Authors@R: person(given = "Riccardo", family = "Rastelli", role = c("aut", "cre"), email = "riccardoras@gmail.com")
Description: Summarises a collection of partitions into a single optimal partition. The objective function is the expected posterior loss, and the minimisation is performed through a greedy algorithm described in Rastelli, R. and Friel, N. (2017) "Optimal Bayesian estimators for latent variable cluster models" <DOI:10.1007/s11222-017-9786-y>.
License: GPL-3
Imports: Rcpp (>= 0.12.10)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2021-05-11 17:37:23 UTC; riccardo
Author: Riccardo Rastelli [aut, cre]
Maintainer: Riccardo Rastelli <riccardoras@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-12 01:02:11 UTC

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New package doconv with initial version 0.1.2
Package: doconv
Title: Document Conversion to 'PDF' or 'PNG'
Version: 0.1.2
Authors@R: c( person("David", "Gohel", role = c("aut", "cre"), email = "david.gohel@ardata.fr"), person(given = "ArData", role = "cph") )
Description: Functions to convert 'Microsoft Word' or 'Microsoft PowerPoint' documents to 'PDF' format and also for converting them into a thumbnail. In order to work, 'LibreOffice' must be installed on the machine and possibly 'python' and 'Microsoft Word'. If the latter is available, it can be used to produce PDF documents identical to the originals, otherwise, 'LibreOffice' is used.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magick, pdftools, locatexec, rappdirs
BugReports: https://github.com/ardata-fr/doconv/issues
SystemRequirements: LibreOffice, Microsoft Word
NeedsCompilation: no
Packaged: 2021-05-11 16:07:23 UTC; davidgohel
Author: David Gohel [aut, cre], ArData [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>
Repository: CRAN
Date/Publication: 2021-05-12 00:52:24 UTC

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New package TensorComplete with initial version 0.1.0
Package: TensorComplete
Title: Tensor Noise Reduction and Completion Methods
Version: 0.1.0
Author: Chanwoo Lee <chanwoo.lee@wisc.edu>, Miaoyan Wang <miaoyan.wang@wisc.edu>
Maintainer: Chanwoo Lee <chanwoo.lee@wisc.edu>
Imports: pracma, methods, utils, tensorregress, MASS
Description: Efficient algorithms for tensor noise reduction and completion. This package includes a suite of parametric and nonparametric tools for estimating tensor signals from noisy, possibly incomplete observations. The methods allow a broad range of data types, including continuous, binary, and ordinal-valued tensor entries. The algorithms employ the alternating optimization. The detailed algorithm description can be found in the following three references.
URL: Chanwoo Lee and Miaoyan Wang. Tensor denoising and completion based on ordinal observations. ICML, 2020. http://proceedings.mlr.press/v119/lee20i.html Chanwoo Lee and Miaoyan Wang. Beyond the Signs: Nonparametric tensor completion via sign series. 2021. https://arxiv.org/abs/2102.00384 Chanwoo Lee, Lexin Li, Hao Helen Zhang, and Miaoyan Wang. Nonparametric trace regression in high dimensions via sign series representation. 2021. https://arxiv.org/abs/2105.01783
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-10 19:16:04 UTC; chanwoolee
Repository: CRAN
Date/Publication: 2021-05-11 14:52:15 UTC

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New package SportsTour with initial version 0.1.0
Package: SportsTour
Title: Display Tournament Fixtures using Knock Out and Round Robin Techniques
Version: 0.1.0
Authors@R: c(person("Sunil","Kumar",role="aut"),person("Ankit","Tanwar",role="cre",email="ankit6.tanwar@gmail.com"))
Description: Use of Knock Out and Round Robin Techniques in preparing tournament fixtures as discussed in the Book Health and Physical Education by 'Dr. V K Sharma'(2018,ISBN:978-93-5272-134-4).
License: GPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-10 12:17:45 UTC; Ayushi Tanwar
Author: Sunil Kumar [aut], Ankit Tanwar [cre]
Maintainer: Ankit Tanwar <ankit6.tanwar@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-11 14:12:11 UTC

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New package rainette with initial version 0.1.3
Package: rainette
Title: The Reinert Method for Textual Data Clustering
Version: 0.1.3
Date: 2021-05-10
Authors@R: c(person("Julien", "Barnier", email="julien.barnier@cnrs.fr", role=c("aut","cre")), person("Florian", "Privé", email="florian.prive.21@gmail.com", role="ctb"))
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>
Description: An R implementation of the Reinert text clustering method. For more details about the algorithm see the included vignettes or Reinert (1990) <doi:10.1177/075910639002600103>.
License: GPL (>= 3)
VignetteBuilder: knitr
URL: https://juba.github.io/rainette/
BugReports: https://github.com/juba/rainette/issues
Encoding: UTF-8
Imports: dplyr (>= 0.8.3), tidyr, purrr, ggplot2, stringr, quanteda (>= 2.1), quanteda.textstats, RSpectra, dendextend, ggwordcloud, gridExtra, rlang, RColorBrewer, shiny, miniUI, formatR, highr, progressr, Rcpp (>= 1.0.3)
Suggests: testthat, knitr, rmarkdown, covr, tm, FNN, quanteda.textmodels
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-05-10 12:32:16 UTC; julien
Author: Julien Barnier [aut, cre], Florian Privé [ctb]
Repository: CRAN
Date/Publication: 2021-05-11 14:30:02 UTC

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New package memoiR with initial version 0.5-0
Package: memoiR
Title: R Markdown and Bookdown Templates to Publish Documents
Version: 0.5-0
URL: https://github.com/EricMarcon/memoiR
BugReports: https://github.com/EricMarcon/memoiR/issues
Authors@R: person(given = "Eric", family = "Marcon", role = c("aut", "cre"), email = "eric.marcon@agroparistech.fr", comment = c(ORCID = "0000-0002-5249-321X"))
Description: Producing high-quality documents suitable for publication directly from R is made possible by the R Markdown ecosystem. 'memoiR' makes it easy. It provides templates to knit memoirs, articles and slideshows with helpers to publish the documents on GitHub Pages and activate continuous integration.
License: GPL (>= 3)
Encoding: UTF-8
SystemRequirements: pandoc
VignetteBuilder: knitr
Imports: bookdown, rmarkdown, usethis
Suggests: knitr, pkgdown, rmdformats, testthat
NeedsCompilation: no
Packaged: 2021-05-10 14:09:21 UTC; emarc
Author: Eric Marcon [aut, cre] (<https://orcid.org/0000-0002-5249-321X>)
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>
Repository: CRAN
Date/Publication: 2021-05-11 14:20:03 UTC

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New package academictwitteR with initial version 0.1.0
Package: academictwitteR
Title: Access the Twitter Academic Research Product Track V2 API Endpoint
Version: 0.1.0
Authors@R: c(person(given = "Christopher", family = "Barrie", role = c("aut", "cre"), email = "christopher.barrie@ed.ac.uk", comment = c(ORCID = "0000-0002-9156-990X")), person(given = "Justin Chun-ting", family = "Ho", role = c("aut"), email = "justin.chunting.ho@sciencespo.fr", comment = c(ORCID = "0000-0002-7884-1059")))
Description: Package to query the Twitter Academic Research Product Track (<https://developer.twitter.com/en/solutions/academic-research>), providing access to full-archive search and other v2 API endpoints. Functions are written with academic research in mind. They provide flexibility in how the user wishes to store collected data, and encourage regular storage of data to mitigate loss when collecting large volumes of tweets. They also provide workarounds to manage and reshape the format in which data is provided on the client side.
License: MIT + file LICENSE
URL: https://github.com/cjbarrie/academictwitteR
BugReports: https://github.com/cjbarrie/academictwitteR/issues
Encoding: UTF-8
Imports: dplyr, httr, jsonlite
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-10 15:59:00 UTC; cbarrie6
Author: Christopher Barrie [aut, cre] (<https://orcid.org/0000-0002-9156-990X>), Justin Chun-ting Ho [aut] (<https://orcid.org/0000-0002-7884-1059>)
Maintainer: Christopher Barrie <christopher.barrie@ed.ac.uk>
Repository: CRAN
Date/Publication: 2021-05-11 14:52:12 UTC

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New package tabula with initial version 1.6.0
Package: tabula
Title: Analysis, Seriation and Visualization of Archaeological Count Data
Version: 1.6.0
Authors@R: c(person(given = "Nicolas", family = "Frerebeau", role = c("aut", "cre"), email = "nicolas.frerebeau@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0001-5759-4944")), person(given = "Brice", family = "Lebrun", role = "ctb", email = "brice.lebrun@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0001-7503-8685")), person(given = "Matthew", family = "Peeples", role = "ctb", email = "matthew.peeples@asu.edu", comment = c(ORCID = "0000-0003-4496-623X")), person(given = "Ben", family = "Marwick", role = "ctb", email = "bmarwick@uw.edu", comment = c(ORCID = "0000-0001-7879-4531")), person(given = "Anne", family = "Philippe", role = "ctb", email = "anne.philippe@univ-nantes.fr", comment = c(ORCID = "0000-0002-5331-5087")), person(given = "Jean-Baptiste", family = "Fourvel", role = "ctb", email = "fourvel@mmsh.univ-aix.fr", comment = c(ORCID = "0000-0002-1061-4642")))
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Description: An easy way to examine archaeological count data. This package provides a convenient and reproducible toolkit for relative and absolute dating and analysis of (chronological) patterns. It includes functions for matrix seriation (reciprocal ranking, CA-based seriation), chronological modeling and dating of archaeological assemblages and/or objects. Beyond these, the package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). The package make it easy to visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams.
License: GPL-3
URL: https://tabula.tesselle.org, https://github.com/tesselle/tabula
BugReports: https://github.com/tesselle/tabula/issues
Depends: R (>= 3.3)
Imports: arkhe (>= 0.3.0), dimensio, ggplot2, grDevices, methods, rlang, stats, utils
Suggests: covr, folio, khroma, knitr, magrittr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
Collate: 'AllClasses.R' 'AllGenerics.R' 'coerce.R' 'date_event.R' 'date_mcd.R' 'deprecate.R' 'ggplot2.R' 'index_diversity.R' 'index_heterogeneity.R' 'index_rarefaction.R' 'index_richness.R' 'index_similarity.R' 'index_turnover.R' 'initialize.R' 'mutators.R' 'permute.R' 'plot_bertin.R' 'plot_date.R' 'plot_diversity.R' 'plot_ford.R' 'plot_heatmap.R' 'plot_rank.R' 'plot_spot.R' 'plot_time.R' 'reexport.R' 'refine_ca.R' 'refine_event.R' 'seriate_average.R' 'seriate_rank.R' 'show.R' 'statistics.R' 'subset.R' 'tabula-package.R' 'test_diversity.R' 'test_fit.R' 'utilities.R' 'validate.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2021-05-04 14:03:39 UTC; nicolas
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>), Matthew Peeples [ctb] (<https://orcid.org/0000-0003-4496-623X>), Ben Marwick [ctb] (<https://orcid.org/0000-0001-7879-4531>), Anne Philippe [ctb] (<https://orcid.org/0000-0002-5331-5087>), Jean-Baptiste Fourvel [ctb] (<https://orcid.org/0000-0002-1061-4642>)
Repository: CRAN
Date/Publication: 2021-05-11 11:40:02 UTC

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New package vsd with initial version 0.1.0
Package: vsd
Title: Graphical Shim for Visual Survival Data Analysis
Version: 0.1.0
Authors@R: c(person(given = "Daniel", family = "Camacho", role = c("aut", "cre"), email = "2016711@student.uma.pt", comment = c(ORCID = "0000-0002-4980-9391")), person(given = "Ana", family = "Abreu", role = c("aut", "ths"), email = "abreu@staff.uma.pt", comment = c(ORCID = "0000-0002-6155-8492")))
Description: Provides a shim command for survival analysis graphic generation.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: survival, ggplot2
Imports: dplyr, survminer, flexsurv, magrittr, ggpubr, muhaz
Suggests: plotly
Language: en-US
Collate: 'options.R' 'plot_forest.R' 'plot_hazard.R' 'plot_parametric.R' 'util.R' 'vsd-package.R' 'vsd.R'
NeedsCompilation: no
Packaged: 2021-05-10 11:15:14 UTC; dusty
Author: Daniel Camacho [aut, cre] (<https://orcid.org/0000-0002-4980-9391>), Ana Abreu [aut, ths] (<https://orcid.org/0000-0002-6155-8492>)
Maintainer: Daniel Camacho <2016711@student.uma.pt>
Repository: CRAN
Date/Publication: 2021-05-11 09:40:02 UTC

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New package ssimparser with initial version 0.1.0
Package: ssimparser
Title: Standard Schedules Information Parser
Version: 0.1.0
Author: Sebastien Thonnard
Maintainer: Sebastien Thonnard <sebastien.thonnard@icloud.com>
Description: Parse Standard Schedules Information file (types 2 and 3) into a Data Frame. Can also expand schedules into flights.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Imports: tidyr, dplyr, stringr, airportr, magrittr
NeedsCompilation: no
Packaged: 2021-05-02 16:58:55 UTC; sebastienthonnard
Repository: CRAN
Date/Publication: 2021-05-11 09:10:02 UTC

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New package snap with initial version 1.0.0
Package: snap
Title: Simple Neural Application
Version: 1.0.0
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: A simple wrapper to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend for regression, classification and multi-label tasks, with some tweaks and tricks (skip shortcuts, embedding, feature selection and anomaly detection).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports: keras, tensorflow, dplyr, purrr, forcats, tictoc, readr, ggplot2, CORElearn, dbscan, stringr, reticulate
URL: https://keras.rstudio.com, https://rdrr.io/cran/dbscan/man/lof.html, https://www.rdocumentation.org/packages/CORElearn/versions/1.56.0/topics/attrEval
NeedsCompilation: no
Packaged: 2021-05-10 06:18:55 UTC; gvercellino
Repository: CRAN
Date/Publication: 2021-05-11 09:40:05 UTC

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New package rtrend with initial version 0.1.0
Package: rtrend
Title: Trend Estimating Tools
Description: The traditional linear regression trend, Modified Mann-Kendall (MK) non-parameter trend and bootstrap trend are included in this package. Linear regression trend is rewritten by '.lm.fit'. MK trend is rewritten by 'Rcpp'. Finally, those functions are about 10 times faster than previous version in R. Reference: Hamed, K. H., & Rao, A. R. (1998). A modified Mann-Kendall trend test for autocorrelated data. Journal of hydrology, 204(1-4), 182-196. <doi:10.1016/S0022-1694(97)00125-X>.
Version: 0.1.0
Authors@R: c( person("Dongdong", "Kong", role = c("aut", "cre"), email = "kongdd.sysu@gmail.com", comment = c(ORCID = "0000-0003-1836-8172")))
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, fftwtools, boot, magrittr, matrixStats, ggplot2
Suggests: covr, testthat (>= 3.0.0)
URL: https://github.com/rpkgs/rtrend
BugReports: https://github.com/rpkgs/rtrend/issues
NeedsCompilation: yes
Packaged: 2021-05-09 13:28:50 UTC; kongdd
Author: Dongdong Kong [aut, cre] (<https://orcid.org/0000-0003-1836-8172>)
Maintainer: Dongdong Kong <kongdd.sysu@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-11 09:00:02 UTC

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New package nsdr with initial version 0.1.0
Package: nsdr
Title: Nonlinear Sufficient Dimension Reduction
Version: 0.1.0
Authors@R: c(person(given = "Bing", family = "Li", role = "aut"), person(given = "Kyongwon", family = "Kim", role = c("aut", "cre"), email = "kimk@ewha.ac.kr"))
Description: Provides tools to implement both unsupervised and supervised nonlinear dimension reduction methods. Principal Component Analysis (PCA), Sliced Inverse Regression (SIR), and Sliced Average Variance Estimation (SAVE) are useful methods to reduce the dimensionality of covariates. However, they produce linear combinations of covariates. Kernel PCA, generalized SIR, and generalized SAVE address this problem by extending the applicability of the dimension reduction problem to nonlinear settings. This package includes a comprehensive algorithm for kernel PCA, generalized SIR, and generalized SAVE, including methods for choosing tuning parameters and some essential functions. The algorithms for this package is from Li (2018, ISBN:9780367734725).
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-05-09 22:10:57 UTC; kyongwon
Author: Bing Li [aut], Kyongwon Kim [aut, cre]
Maintainer: Kyongwon Kim <kimk@ewha.ac.kr>
Repository: CRAN
Date/Publication: 2021-05-11 09:30:02 UTC

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New package MTE with initial version 1.0.1
Package: MTE
Title: Maximum Tangent Likelihood Estimation for Linear Regression
Version: 1.0.1
Authors@R: c(person("Shaobo", "Li", email="shaobo.li@ku.edu", role=c("aut", "cre")), person("Yichen", "Qin", email="qinyn@ucmail.uc.edu", role=c("aut")))
Maintainer: Shaobo Li <shaobo.li@ku.edu>
Description: Several robust estimators for linear regression and variable selection are provided. Included are Maximum tangent likelihood estimator (Qin, et al., 2017), least absolute deviance estimator and Huber regression. The penalized version of each of these estimator incorporates L1 penalty function, i.e., LASSO and Adaptive Lasso. They are able to produce consistent estimates for both fixed and high-dimensional settings.
URL: GitHub: https://github.com/shaobo-li/MTE
Depends: R (>= 3.1.0)
License: GPL-3
Imports: stats, quantreg, glmnet
NeedsCompilation: no
Packaged: 2021-05-09 17:29:49 UTC; lisha
Author: Shaobo Li [aut, cre], Yichen Qin [aut]
Repository: CRAN
Date/Publication: 2021-05-11 09:12:14 UTC

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New package highMLR with initial version 0.1.0
Title: Feature Selection for High Dimensional Survival Data
Package: highMLR
Version: 0.1.0
Date: 2021-05-08
Depends: R (>= 3.5.0)
Imports: mlr3, mlr3proba, mlr3learners, survival, gtools, tibble, dplyr, utils, coxme, missForest
LazyData: Yes
LazyDataCompression: xz
ByteCompile: Yes
Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")), person(("Gajendra"), "K. Vishwakarma", role=c("aut","ctb")), person(("Souvik"),"Banerjee", role=c("aut","ctb")))
Description: Perform high dimensional Feature Selection in the presence of survival outcome. Based on Feature Selection method and different survival analysis, it will obtain the best markers with optimal threshold levels according to their effect on disease progression and produce the most consistent level according to those threshold values. The functions' methodology is based on by Sonabend et al (2021) <doi:10.1093/bioinformatics/btab039> and Bhattacharjee et al (2021) <arXiv:2012.02102>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Packaged: 2021-05-10 10:45:29 UTC; Atanu
Author: Atanu Bhattacharjee [aut, cre, ctb], Gajendra K. Vishwakarma [aut, ctb], Souvik Banerjee [aut, ctb]
Repository: CRAN
Date/Publication: 2021-05-11 09:40:08 UTC

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New package bumblebee with initial version 0.1.0
Package: bumblebee
Title: Quantify Disease Transmission Within and Between Population Groups
Version: 0.1.0
Authors@R: c( person("Lerato E", "Magosi", email = "lmagosi@hsph.harvard.edu", role = "aut", comment = c(ORCID = "0000-0002-3388-9892")), person("Marc", "Lipsitch", email = "mlipsitc@hsph.harvard.edu", role = "aut"), person("Lerato E", "Magosi", email = "magosil86@gmail.com", role = "cre"))
Description: A simple tool to quantify the amount of transmission of an infectious disease of interest occurring within and between population groups. 'bumblebee' uses counts of observed directed transmission pairs, identified phylogenetically from deep-sequence data or from epidemiological contacts, to quantify transmission flows within and between population groups accounting for sampling heterogeneity. Population groups might include: geographical areas (e.g. communities, regions), demographic groups (e.g. age, gender) or arms of a randomized clinical trial. See the 'bumblebee' website for statistical theory, documentation and examples <https://magosil86.github.io/bumblebee/>.
License: MIT + file LICENSE
URL: https://magosil86.github.io/bumblebee/
BugReports: https://github.com/magosil86/bumblebee/issues
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr (>= 1.0.2), gtools (>= 3.8.2), Hmisc (>= 4.4-2), magrittr (>= 2.0.1), rmarkdown (>= 2.6)
Suggests: covr (>= 3.5.1), knitr (>= 1.30), markdown (>= 1.1), testthat (>= 3.0.1)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-10 11:16:58 UTC; lmagosi
Author: Lerato E Magosi [aut] (<https://orcid.org/0000-0002-3388-9892>), Marc Lipsitch [aut], Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-11 09:42:19 UTC

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New package tarchetypes with initial version 0.2.0
Package: tarchetypes
Title: Archetypes for Targets
Description: Function-oriented Make-like declarative workflows for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible workflows concisely and compactly. The methods in this package were influenced by the 'drake' R package by Will Landau (2018) <doi:10.21105/joss.00550>.
Version: 0.2.0
License: MIT + file LICENSE
URL: https://docs.ropensci.org/tarchetypes/, https://github.com/ropensci/tarchetypes
BugReports: https://github.com/ropensci/tarchetypes/issues
Authors@R: c( person( given = c("William", "Michael"), family = "Landau", role = c("aut", "cre"), email = "will.landau@gmail.com", comment = c(ORCID = "0000-0003-1878-3253") ), person( given = "Samantha", family = "Oliver", role = "rev", comment = c(ORCID = "0000-0001-5668-1165") ), person( given = "Tristan", family = "Mahr", role = "rev", comment = c(ORCID = "0000-0002-8890-5116") ), person( family = "Eli Lilly and Company", role = "cph" ))
Depends: R (>= 3.5.0)
Imports: digest (>= 0.6.25), fs (>= 1.4.2), rlang (>= 0.4.7), targets (>= 0.4.1), tidyselect (>= 1.1.0), utils, vctrs (>= 0.3.4), withr (>= 2.1.2)
Suggests: curl (>= 4.3), dplyr (>= 1.0.0), knitr (>= 1.28), rmarkdown (>= 2.1), testthat (>= 3.0.0), tibble (>= 3.0.4), xml2 (>= 1.3.2)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-05-04 01:41:47 UTC; c240390
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-11 07:20:02 UTC

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New package ennet with initial version 0.2.2
Package: ennet
Title: Utilities to Extract and Analyse Text Data from the Emergency Nutrition Network Forum
Version: 0.2.2
Authors@R: person(given = "Ernest", family = "Guevarra", email = "ernest@guevarra.io", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4887-4415"))
Description: The Emergency Nutrition Network or en-net forum is the go to online forum for field practitioners requiring prompt technical advice for operational challenges for which answers are not readily accessible in current guidelines. The questions and the corresponding answers raised within en-net can provide insight into what the key topics of discussion are within the nutrition sector. This package provides utility functions for the extraction, processing and analysis of text data from the online forum.
License: GPL-3
Depends: R (>= 2.10)
Imports: magrittr, rvest, xml2, tibble, dplyr, stringr, lubridate, utils, tidyr
Suggests: knitr, rmarkdown, testthat, spelling
Encoding: UTF-8
Language: en-GB
LazyData: true
URL: https://katilingban.io/ennet/, https://github.com/katilingban/ennet
BugReports: https://github.com/katilingban/ennet/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-09 16:46:54 UTC; ernestguevarra
Author: Ernest Guevarra [aut, cre] (<https://orcid.org/0000-0002-4887-4415>)
Maintainer: Ernest Guevarra <ernest@guevarra.io>
Repository: CRAN
Date/Publication: 2021-05-11 07:30:02 UTC

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New package goeveg with initial version 0.5.1
Package: goeveg
Title: Functions for Community Data and Ordinations
Version: 0.5.1
Date: 2021-05-10
Author: Friedemann Goral [aut, cre], Jenny Schellenberg [aut]
Maintainer: Friedemann Goral <fgoral@gwdg.de>
Description: A collection of functions useful in (vegetation) community analyses and ordinations. Includes automatic species selection for ordination diagrams, NMDS stress plots, species response curves and rank-abundance curves.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 2.10)
Imports: vegan, fields, mgcv, Hmisc
Suggests: vegdata, BiodiversityR, cluster
URL: https://github.com/fgoral/goeveg/
BugReports: https://github.com/fgoral/goeveg/issues
NeedsCompilation: no
Packaged: 2021-05-10 11:11:40 UTC; Friedemann Goral
Repository: CRAN
Date/Publication: 2021-05-10 14:50:02 UTC

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New package exoplanets with initial version 0.2.0
Package: exoplanets
Title: Access NASA's Exoplanet Archive Data
Version: 0.2.0
Authors@R: c( person("Tyler", "Littlefield", email = "tylerlittlefield@hey.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6020-1125")), person("Maëlle", "Salmon", role = c("ctb", "rev")))
Description: The goal of exoplanets is to provide access to NASA's Exoplanet Archive TAP Service. For more information regarding the API please read the documentation <https://exoplanetarchive.ipac.caltech.edu/index.html>.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/exoplanets/ (website) https://github.com/ropensci/exoplanets
BugReports: https://github.com/ropensci/exoplanets/issues
Depends: R (>= 2.10)
Imports: cli, httr, memoise, readr, tibble
Suggests: covr, dplyr, ggplot2, httptest, knitr, rmarkdown, scales, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-07 23:32:02 UTC; tlittlef
Author: Tyler Littlefield [aut, cre] (<https://orcid.org/0000-0002-6020-1125>), Maëlle Salmon [ctb, rev]
Maintainer: Tyler Littlefield <tylerlittlefield@hey.com>
Repository: CRAN
Date/Publication: 2021-05-10 10:30:02 UTC

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New package TraceAssist with initial version 0.1.0
Package: TraceAssist
Title: Nonparametric Trace Regression via Sign Series Representation
Version: 0.1.0
Author: Chanwoo Lee <chanwoo.lee@wisc.edu>, Lexin Li <lexinli@berkeley.edu>, Hao Helen Zhang <hzhang@math.arizona.edu>, Miaoyan Wang <miaoyan.wang@wisc.edu>
Maintainer: Chanwoo Lee <chanwoo.lee@wisc.edu>
Description: Efficient method for fitting nonparametric matrix trace regression model. The detailed description can be found in C. Lee, L. Li, H. Zhang, and M. Wang (2021). Nonparametric Trace Regression via Sign Series Representation. <arXiv:2105.01783>. The method employs the aggregation of structured sign series for trace regression (ASSIST) algorithm.
URL: https://arxiv.org/abs/2105.01783
Imports: quadprog, Matrix, glmnet, keras
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-08 22:10:47 UTC; chanwoolee
Repository: CRAN
Date/Publication: 2021-05-10 08:42:14 UTC

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New package Rsfar with initial version 0.0.1
Package: Rsfar
Title: Seasonal Functional Autoregressive Models
Version: 0.0.1
Authors@R: c( person("Hossein", "Haghbin", email = "haghbinh@gmail.com", role = c("aut", "cre"),comment = c(ORCID = "0000-0001-8416-2354")), person("Rob", "Hyndman", email = "Rob.Hyndman@monash.edu", role = "aut") )
Description: This is a collection of functions designed for simulating, estimating and forecasting seasonal functional autoregressive time series of order one. These methods are addressed in the manuscript: <https://www.monash.edu/business/ebs/research/publications/ebs/wp16-2019.pdf>.
License: GPL (>= 2)
URL: https://github.com/haghbinh/Rsfar
Encoding: UTF-8
LazyData: false
Depends: fda
NeedsCompilation: no
Packaged: 2021-05-07 20:27:35 UTC; Haghbin
Author: Hossein Haghbin [aut, cre] (<https://orcid.org/0000-0001-8416-2354>), Rob Hyndman [aut]
Maintainer: Hossein Haghbin <haghbinh@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 08:02:27 UTC

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New package qqboxplot with initial version 0.1.0
Package: qqboxplot
Title: Implementation of the Q-Q Boxplot
Version: 0.1.0
Authors@R: person(given = "Jordan", family = "Rodu", role = c("aut", "cre"), email = "jordan.rodu@gmail.com")
Description: A system to implement the Q-Q boxplot. It is implemented as an extension to 'ggplot2'. The Q-Q boxplot is an amalgam of the boxplot and the Q-Q plot and allows the user to rapidly examine summary statistics and tail behavior for multiple distributions in the same pane. As an extension of the 'ggplot2' implementation of the boxplot, possible modifications to the boxplot extend to the Q-Q boxplot.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, grid
Depends: R (>= 3.3)
Suggests: knitr, rmarkdown, dplyr, gridExtra, testthat (>= 3.0.0), vdiffr (>= 0.3.3), scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-07 19:07:30 UTC; jorda
Author: Jordan Rodu [aut, cre]
Maintainer: Jordan Rodu <jordan.rodu@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 08:00:02 UTC

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New package MAGEE with initial version 1.0.0
Package: MAGEE
Version: 1.0.0
Date: 2021-05-01
Title: Mixed Model Association Test for GEne-Environment Interaction
Authors@R: c(person("Xinyu", "Wang", role = c("aut", "cre"), email = "xinyu.wang@uth.tmc.edu"), person("Han", "Chen", role = "aut", email = "han.chen.2@uth.tmc.edu"), person("Duy", "Pham", role = "aut", email = "duy.t.pham@uth.tmc.edu"))
Description: Use a 'glmmkin' class object from the null generalized linear mixed-effect model (GLMM) to perform variant set-based main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
License: GPL-3
Copyright: See COPYRIGHTS for details.
Imports: Rcpp, Matrix, parallel, MASS, SeqArray, SeqVarTools, foreach, GMMAT, CompQuadForm
Suggests: doMC, testthat
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2.0)
NeedsCompilation: yes
Packaged: 2021-05-08 17:14:01 UTC; xwang
Author: Xinyu Wang [aut, cre], Han Chen [aut], Duy Pham [aut]
Maintainer: Xinyu Wang <xinyu.wang@uth.tmc.edu>
Repository: CRAN
Date/Publication: 2021-05-10 08:32:20 UTC

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New package loon.tourr with initial version 0.1.0
Package: loon.tourr
Title: Tour in 'Loon'
Version: 0.1.0
Date: 2021-05-06
Authors@R: c(person(given = "Zehao", family = "Xu", email = "z267xu@uwaterloo.ca", role = c("aut", "cre")), person(given = "R. Wayne", family = "Oldford", email = "rwoldford@uwaterloo.ca", role = "aut") )
Description: Implement tour algorithms in interactive graphical system 'loon'.
License: GPL-2
Depends: R (>= 3.4.0), tcltk, loon (> 1.3.1), tourr, methods,
Imports: stats, utils, grDevices, MASS, loon.ggplot
Suggests: class, RDRToolbox, magrittr, tidyverse, testthat, knitr, rmarkdown, markdown, covr
BugReports: https://github.com/z267xu/loon.tourr/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-08 02:51:05 UTC; Zehao
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut]
Maintainer: Zehao Xu <z267xu@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2021-05-10 08:00:06 UTC

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New package loon.shiny with initial version 0.1.0
Package: loon.shiny
Title: Automatically Create a 'Shiny' App Based on Interactive 'Loon' Widgets
Version: 0.1.0
Authors@R: c( person('Zehao', 'Xu', email = 'z267xu@uwaterloo.ca', role = c('aut', 'cre')), person('R. Wayne', 'Oldford', email = 'rwoldford@uwaterloo.ca', role = c('aut')) )
Description: Package 'shiny' provides interactive web applications in R. Package 'loon' is an interactive toolkit engaged in open-ended, creative and unscripted data exploration. The 'loon.shiny' package can take 'loon' widgets and display a selfsame 'shiny' app.
License: GPL-2
Depends: R (>= 3.4.0), loon (>= 1.3.0), tcltk, methods, shiny
Imports: stats, grDevices, magrittr, grid, gridExtra, stringr, loon.ggplot (>= 1.1.0), colourpicker, base64enc
Suggests: dplyr, ggmulti, tools, testthat, knitr, rmarkdown, tidyverse, covr, png
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-08 02:18:53 UTC; Zehao
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut]
Maintainer: Zehao Xu <z267xu@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2021-05-10 08:00:09 UTC

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New package HSEtest with initial version 0.1.0
Package: HSEtest
Title: Homogeneity of Stratum Effects Test
Version: 0.1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: To test the homogeneity of stratum effects in stratified paired binary data.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-08 07:38:18 UTC; dgdzc
Repository: CRAN
Date/Publication: 2021-05-10 08:12:12 UTC

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New package goldilocks with initial version 0.3.0
Package: goldilocks
Title: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints
Version: 0.3.0
Authors@R: c( person(given = "Graeme L.", family = "Hickey", role = c("aut", "cre"), email = "graemeleehickey@gmail.com", comment = c(ORCID = "0000-0002-4989-0054")), person(given = "Ying", family = "Wan", role = "aut", email = "ying.wan@bd.com"), person(given = "Thevaa", family = "Chandereng", role = "aut", email = "tc3123@cumc.columbia.edu", comment = c(ORCID = "0000-0003-4078-9176", "bayesDP code as a template")), person(given = "Becton, Dickinson and Company", role = "cph"))
Description: Implements the Goldilocks adaptive trial design for a time to event outcome using a piecewise exponential model and conjugate Gamma prior distributions. The method closely follows the article by Broglio and colleagues <doi:10.1080/10543406.2014.888569>, which allows users to explore the operating characteristics of different trial designs.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0), survival
Imports: dplyr, fastlogranktest, parallel, pbmcapply, PWEALL, rlang, stats
Suggests: covr, testthat (>= 3.0.0), knitr, rmarkdown
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-08 16:09:00 UTC; 10318048
Author: Graeme L. Hickey [aut, cre] (<https://orcid.org/0000-0002-4989-0054>), Ying Wan [aut], Thevaa Chandereng [aut] (<https://orcid.org/0000-0003-4078-9176>, bayesDP code as a template), Becton, Dickinson and Company [cph]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 08:20:11 UTC

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New package gitdown with initial version 0.1.1
Package: gitdown
Title: Turn Your Git Commit Messages into a HTML Book
Version: 0.1.1
Authors@R: c(person(given = "Sébastien", family = "Rochette", role = c("aut", "cre"), email = "sebastien@thinkr.fr", comment = c(ORCID = "0000-0002-1565-9313")), person(given = "Cervan", family = "Girard", role = "aut", email = "cervan@thinkr.fr", comment = c(ORCID = "0000-0002-4816-4624")), person(given = "ThinkR", role = "cph"), person(given = "Institut de Recherches Internationales Servier", role = "spn"))
Description: Read all commit messages of your local git repository and sort them according to tags or specific text pattern into chapters of a HTML book using 'bookdown'. The git history book presentation helps organisms required to testify for every changes in their source code, in relation to features requests.
License: MIT + file LICENSE
URL: https://thinkr-open.github.io/gitdown/, https://github.com/Thinkr-open/gitdown
BugReports: https://github.com/Thinkr-open/gitdown/issues
Depends: R (>= 3.4)
Imports: attempt, bookdown, dplyr, git2r (>= 0.26.0), knitr, magrittr, purrr, rmarkdown, stats, stringi, tidyr, utils
Suggests: testthat (>= 2.1.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-08 18:02:43 UTC; srochett
Author: Sébastien Rochette [aut, cre] (<https://orcid.org/0000-0002-1565-9313>), Cervan Girard [aut] (<https://orcid.org/0000-0002-4816-4624>), ThinkR [cph], Institut de Recherches Internationales Servier [spn]
Maintainer: Sébastien Rochette <sebastien@thinkr.fr>
Repository: CRAN
Date/Publication: 2021-05-10 08:30:08 UTC

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New package eventTrack with initial version 1.0.0
Package: eventTrack
Title: Event Prediction for Time-to-Event Endpoints
Version: 1.0.0
Date: 2021-05-07
Author: Kaspar Rufibach
Maintainer: Kaspar Rufibach <kaspar.rufibach@roche.com>
Depends: survival, muhaz, R (>= 3.5.0)
Suggests: knitr, rmarkdown, rpact, fitdistrplus, gestate
VignetteBuilder: knitr
Description: Implements the hybrid framework for event prediction described in Fang & Zheng (2011, <doi:10.1016/j.cct.2011.05.013>). To estimate the survival function the event prediction is based on, a piecewise exponential hazard function is fit to the time-to-event data to infer the potential change points. Prior to the last identified change point, the survival function is estimated using Kaplan-Meier, and the tail after the change point is fit using piecewise exponential.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2021-05-07 18:51:33 UTC; rufiback
Repository: CRAN
Date/Publication: 2021-05-10 08:00:12 UTC

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New package diveR with initial version 0.1.1
Package: diveR
Title: Easily Install and Load Interactive Data Visualization Tools
Version: 0.1.1
Authors@R: c(person(given = "R. Wayne", family = "Oldford", email = "rwoldford@uwaterloo.ca", role = c("aut", "cre")) )
Description: A suite of 'loon' related packages providing data analytic tools for Direct Interactive Visual Exploration in R ('diveR'). These tools work with and complement those of the 'tidyverse' suite, extending the grammar of 'ggplot2' to become a grammar of interactive graphics. The suite provides many visual tools designed for moderately (100s of variables) high dimensional data analysis, through 'zenplots' and novel tools in 'loon', and extends the 'ggplot2' grammar to provide parallel coordinates, Andrews plots, and arbitrary glyphs through 'ggmulti'. The 'diveR' package gathers together and installs all these related packages in a single step.
License: GPL-2
URL: https://github.com/great-northern-diver/diver/
BugReports: https://github.com/great-northern-diver/diver/issues
Depends: R (>= 3.4)
Imports: cli (>= 1.1.0), crayon (>= 1.3.4), rstudioapi (>= 0.10), loon (>= 1.2.2), loon.data, ggmulti, loon.ggplot (>= 1.1.0), zenplots
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-09 05:01:12 UTC; rwoldford
Author: R. Wayne Oldford [aut, cre]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2021-05-10 08:52:11 UTC

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New package autohd with initial version 0.1.0
Title: High Dimensional Bayesian Survival Mediation Analysis
Package: autohd
Version: 0.1.0
Date: 2021-04-30
Depends: R (>= 2.10)
Imports: broom,hdbm,Hmisc,ICBayes,icenReg,missForest,SurvRegCensCov,survival,schoolmath, tibble,Rdpack,rjags,usethis,coxme,mlr3
LazyData: Yes
LazyDataCompression: xz
ByteCompile: Yes
Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")), person(("Akash"), "Pawar", role=c("aut","ctb")))
Description: Perform mediation analysis for time to event high-dimensional data. Mediation Analysis proposed by Miocevic et al.(2017) <doi:10.1080/10705511.2017.1342541> as a statistical tool in the Bayesian framework. Time to event data analysis methods like Cox proportional hazard model, accelerated failure time model to work with high dimensional data with Bayesian approaches are provided. Missing data imputation techniques tool to work with high dimensional data coupled for mediation analysis by presented by the active mediator variables.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Packaged: 2021-05-08 07:27:30 UTC; atanu
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb]
Repository: CRAN
Date/Publication: 2021-05-10 08:02:24 UTC

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New package parsermd with initial version 0.1.0
Package: parsermd
Title: Formal Parser and Related Tools for R Markdown Documents
Version: 0.1.0
Authors@R: person(given = "Colin", family = "Rundel", role = c("aut", "cre"), email = "rundel@gmail.com")
Description: An implementation of a formal grammar and parser for R Markdown documents using the Boost Spirit X3 library. It also includes a collection of high level functions for working with the resulting abstract syntax tree.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: purrr, Rcpp, cli (>= 2.5.0), checkmate, readr, tidyr, dplyr, tibble, yaml, withr, rmarkdown, pillar, rlang, magrittr, tidyselect, lifecycle
SystemRequirements: C++14
LinkingTo: Rcpp, BH
Suggests: testthat (>= 3.0.0), knitr
VignetteBuilder: knitr
URL: https://github.com/rundel/parsermd
BugReports: https://github.com/rundel/parsermd/issues
NeedsCompilation: yes
Packaged: 2021-05-07 14:56:31 UTC; rundel
Author: Colin Rundel [aut, cre]
Maintainer: Colin Rundel <rundel@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 07:50:02 UTC

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New package nnspat with initial version 0.1.0
Package: nnspat
Title: Nearest Neighbor Methods for Spatial Patterns
Version: 0.1.0
Author: Elvan Ceyhan
Maintainer: Elvan Ceyhan <elvanceyhan@gmail.com>
Description: Contains the functions for testing the spatial patterns (of segregation, spatial symmetry, association, disease clustering, species correspondence and reflexivity) based on nearest neighbor relations, especially using contingency tables such as nearest neighbor contingency tables, nearest neighbor symmetry contingency tables, species correspondence contingency tables and reflexivity contingency tables for two (or higher) dimensional data. Also contains functions for generating patterns of segregation, association, uniformity in a multi-class setting, and various non-random labeling patterns for disease clustering in two dimensional cases, and for visualization of all these patterns for the two dimensional data. The tests are usually (asymptotic) normal z-tests and chi-square tests.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: MASS, stats, graphics, Rdpack (>= 0.7)
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2021-05-07 02:55:43 UTC; ceyhan
Repository: CRAN
Date/Publication: 2021-05-10 07:30:02 UTC

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New package mgss with initial version 1.2
Package: mgss
Title: A Matrix-Free Multigrid Preconditioner for Spline Smoothing
Version: 1.2
Authors@R: c( person("Martin", "Siebenborn", role = c("aut", "cre", "cph"), email = "martin.siebenborn@uni-hamburg.de"), person("Julian", "Wagner", role = c("aut", "cph"), email = "juwagn89@gmail.com") )
Description: Data smoothing with penalized splines is a popular method and is well established for one- or two-dimensional covariates. The extension to multiple covariates is straightforward but suffers from exponentially increasing memory requirements and computational complexity. This toolbox provides a matrix-free implementation of a conjugate gradient (CG) method for the regularized least squares problem resulting from tensor product B-spline smoothing with multivariate and scattered data. It further provides matrix-free preconditioned versions of the CG-algorithm where the user can choose between a simpler diagonal preconditioner and an advanced geometric multigrid preconditioner. The main advantage is that all algorithms are performed matrix-free and therefore require only a small amount of memory. For further detail see Siebenborn & Wagner (2021).
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.5), combinat (>= 0.0-8), statmod (>= 1.1), Matrix (>= 1.2)
LinkingTo: Rcpp
Encoding: UTF-8
Repository: CRAN
Suggests: testthat
BugReports: https://github.com/SplineSmoothing/MGSS
NeedsCompilation: yes
Packaged: 2021-05-07 13:43:38 UTC; martin
Author: Martin Siebenborn [aut, cre, cph], Julian Wagner [aut, cph]
Maintainer: Martin Siebenborn <martin.siebenborn@uni-hamburg.de>
Date/Publication: 2021-05-10 07:50:06 UTC

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New package madgrad with initial version 0.1.0
Package: madgrad
Title: 'MADGRAD' Method for Stochastic Optimization
Version: 0.1.0
Authors@R: c( person("Daniel", "Falbel", email = "daniel@rstudio.com", role = c("aut", "cre", "cph")), person(family = "RStudio", role = c("cph")), person(family = "MADGRAD original implementation authors.", role = c("cph")) )
Description: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization algorithm. MADGRAD is a 'best-of-both-worlds' optimizer with the generalization performance of stochastic gradient descent and at least as fast convergence as that of Adam, often faster. A drop-in optim_madgrad() implementation is provided based on Defazio et al (2020) <arxiv:2101.11075>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: torch (>= 0.3.0), rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-05-07 14:17:39 UTC; dfalbel
Author: Daniel Falbel [aut, cre, cph], RStudio [cph], MADGRAD original implementation authors. [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Repository: CRAN
Date/Publication: 2021-05-10 07:30:12 UTC

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New package httk with initial version 2.0.4
Package: httk
Version: 2.0.4
Date: 2021-05-07
Title: High-Throughput Toxicokinetics
Description: Generic models and chemical-specific data for simulation and statistical analysis of chemical toxicokinetics ("TK") as described by Pearce et al. (2017) <doi:10.18637/jss.v079.i04>. Chemical-specific in vitro data have been obtained from relatively high throughput experiments. Both physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models can be parameterized with the data provided for thousands of chemicals, multiple exposure routes, and various species. The models consist of systems of ordinary differential equations which are solved using compiled (C-based) code for speed. A Monte Carlo sampler is included, which allows for simulating human biological variability (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>) and propagating parameter uncertainty. Calibrated methods are included for predicting tissue:plasma partition coefficients and volume of distribution (Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>). These functions and data provide a set of tools for in vitro-in vivo extrapolation ("IVIVE") of high throughput screening data (for example, Tox21, ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK") (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).
Authors@R: c( person("John", "Wambaugh", email = "wambaugh.john@epa.gov", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4024-534X")), person("Robert", "Pearce", role = c("aut"), comment = c(ORCID = "0000-0003-3168-4049")), person("Caroline", "Ring", email = "cring@toxstrategies.com", role = c("aut"), comment = c(ORCID = "0000-0002-0463-1251")), person("Greg", "Honda", email = "honda.gregory@epa.gov", role = c("aut"), comment = c(ORCID = "0000-0001-7713-9850")), person("Mark", "Sfeir", email = "sfeir.mark@epa.gov", role = c("aut")), person("Matt", "Linakis", email = "matthew.linakis.1@us.af.mil", role = c("aut"), comment = c(ORCID = "0000-0003-0526-2395")), person("Sarah", "Davidson", email = "davidson.sarah.e@epa.gov", role = c("aut"), comment = c(ORCID = "0000-0002-2891-9380")), person("Miyuki", "Breen", email = "breen.miyuki@epa.gov", role = c("ctb"), comment = c(ORCID= "0000-0001-8511-4653")), person("Shannon", "Bell", email="sbell@ils-inc.com", role = c("ctb")), person("Xiaoqing", "Chang", email="xchang@ils-inc.com", role = c("ctb"), comment = c(ORCID = "0000-0003-0752-1848")), person("Jimena", "Davis", role = c("ctb")), person("James", "Sluka", email = "jsluka@indiana.edu", role = c("ctb"), comment = c(ORCID = "0000-0002-5901-1404")), person("Nisha", "Sipes", email = "sipes.nisha@epa.gov", role = c("ctb"), comment = c(ORCID = "0000-0003-4203-6426")), person("Barbara", "Wetmore", email = "wetmore.barbara@epa.gov", role = c("ctb"), comment = c(ORCID = "0000-0002-6878-5348")), person("Woodrow", "Setzer", email = "setzer.woodrow@epa.gov", role = c("ctb"), comment = c(ORCID = "0000-0002-6709-9186")) )
Depends: R (>= 2.10)
Imports: deSolve, msm, data.table, survey, mvtnorm, truncnorm, stats, graphics, utils, magrittr, purrr, methods
Suggests: ggplot2, knitr, rmarkdown, R.rsp, GGally, gplots, scales, EnvStats, MASS, RColorBrewer, TeachingDemos, classInt, ks, stringr, reshape, reshape2, gdata, viridis, CensRegMod, gmodels, colorspace, cowplot, ggrepel, dplyr, forcats, smatr, gtools, gridExtra, testthat
License: GPL-3
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
VignetteBuilder: knitr, R.rsp
URL: https://www.epa.gov/chemical-research/rapid-chemical-exposure-and-dose-research
BugReports: https://github.com/USEPA/CompTox-ExpoCast-httk
NeedsCompilation: yes
Packaged: 2021-05-07 14:35:59 UTC; jwambaug
Author: John Wambaugh [aut, cre] (<https://orcid.org/0000-0002-4024-534X>), Robert Pearce [aut] (<https://orcid.org/0000-0003-3168-4049>), Caroline Ring [aut] (<https://orcid.org/0000-0002-0463-1251>), Greg Honda [aut] (<https://orcid.org/0000-0001-7713-9850>), Mark Sfeir [aut], Matt Linakis [aut] (<https://orcid.org/0000-0003-0526-2395>), Sarah Davidson [aut] (<https://orcid.org/0000-0002-2891-9380>), Miyuki Breen [ctb] (<https://orcid.org/0000-0001-8511-4653>), Shannon Bell [ctb], Xiaoqing Chang [ctb] (<https://orcid.org/0000-0003-0752-1848>), Jimena Davis [ctb], James Sluka [ctb] (<https://orcid.org/0000-0002-5901-1404>), Nisha Sipes [ctb] (<https://orcid.org/0000-0003-4203-6426>), Barbara Wetmore [ctb] (<https://orcid.org/0000-0002-6878-5348>), Woodrow Setzer [ctb] (<https://orcid.org/0000-0002-6709-9186>)
Maintainer: John Wambaugh <wambaugh.john@epa.gov>
Copyright: This package is primarily developed by employees of the U.S. Federal government as part of their official duties and is therefore public domain.
Repository: CRAN
Date/Publication: 2021-05-10 07:50:08 UTC

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New package crsuggest with initial version 0.3
Package: crsuggest
Title: Obtain Suggested Coordinate Reference System Information for Spatial Data
Version: 0.3
Date: 2021-05-07
Authors@R: c(person(given = "Kyle", family = "Walker", email="kyle@walker-data.com", role=c("aut", "cre")))
Description: Uses data from the 'EPSG' Registry to look up suitable coordinate reference system transformations for spatial datasets in R. Returns a data frame with 'CRS' codes that can be used for 'CRS' transformation and mapping projects. Please see the 'EPSG' Dataset Terms of Use at <https://epsg.org/terms-of-use.html> for more information.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: sf (>= 0.9), units, dplyr, purrr, mapview
Suggests: mapboxapi, tigris, tidycensus, ggplot2
Depends: R (>= 3.3)
NeedsCompilation: no
Packaged: 2021-05-07 14:45:29 UTC; kyle
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>
Repository: CRAN
Date/Publication: 2021-05-10 07:42:11 UTC

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New package CPGLIB with initial version 1.0.0
Package: CPGLIB
Title: Competing Proximal Gradients Library
Version: 1.0.0
Date: 2021-05-05
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to generate ensembles of generalized linear models using competing proximal gradients. The optimal sparsity and diversity tuning parameters are selected via an alternating grid search.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 1.0.3)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, vctrs, glmnet, mvnfast
NeedsCompilation: yes
Packaged: 2021-05-06 23:04:00 UTC; antho
Repository: CRAN
Date/Publication: 2021-05-10 07:12:24 UTC

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New package classmap with initial version 1.0.0
Package: classmap
Title: Visualizing Classification Results by Classmaps
Date: 2021-05-05
Version: 1.0.0
Authors@R: c( person(given="Jakob",family="Raymaekers", role = c("aut","cre"), email="jakob.raymaekers@kuleuven.be"), person(given="Peter",family="Rousseeuw", role = c("aut")) )
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut]
Depends: R (>= 3.5.0)
Suggests: knitr, reshape2, svd,
Imports: stats, graphics, ggplot2, robustbase, e1071, cellWise, cluster, kernlab, gridExtra
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>
Description: Tools to visualize the results of a classification obtained by discriminant analysis, k-nearest neighbors, and support vector machines, for two or more classes. Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, to appear. In addition to class maps, also stacked plots are made. Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples" and "Support_vector_machine_examples".
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-07 16:01:15 UTC; u0105404
Repository: CRAN
Date/Publication: 2021-05-10 07:52:20 UTC

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New package BayesPPD with initial version 1.0.0
Package: BayesPPD
Title: Bayesian Power Prior Design
Version: 1.0.0
Authors@R: c( person(given = "Yueqi", family = "Shen", role = c("cre"), email = "ys137@live.unc.edu"), person(given = "Matthew A.", family = "Psioda", role = c("aut"), email = "matt_psioda@unc.edu"), person(given = "Joseph G.", family = "Ibrahim", role = c("aut"), email = "ibrahim@bios.unc.edu"))
Description: Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, RcppNumerical,
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
NeedsCompilation: yes
Packaged: 2021-05-07 17:01:02 UTC; angie
Author: Yueqi Shen [cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut]
Maintainer: Yueqi Shen <ys137@live.unc.edu>
Repository: CRAN
Date/Publication: 2021-05-10 07:52:23 UTC

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New package artemis with initial version 1.0.5
Package: artemis
Title: Analysis and Simulation of Environmental DNA Experiments
Version: 1.0.5
Authors@R: c(person(given = "Matt", family = "Espe", role = c("aut", "cre"), email = "mespe@ucdavis.edu"), person(given = "Myfanwy", family = "Johnston", role = c("aut"), email = "myfanwy.johnston@fishsciences.net"))
Description: Provides a modeling framework for the design and analysis of experiments collecting environmental DNA.
License: GPL (>= 3)
Depends: methods, graphics, stats, ggplot2, R (>= 3.5.0), loo
Imports: Rcpp (>= 1.0.1), rstan (>= 2.19.0), lme4 (>= 1.1.21), rstantools (>= 2.1.1), utils
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
Suggests: testthat, knitr, rmarkdown, markdown, covr
VignetteBuilder: knitr
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)
Packaged: 2021-05-07 13:48:58 UTC; mespe
Author: Matt Espe [aut, cre], Myfanwy Johnston [aut]
Maintainer: Matt Espe <mespe@ucdavis.edu>
Repository: CRAN
Date/Publication: 2021-05-10 07:42:14 UTC

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New package genomicper with initial version 1.7
Package: genomicper
Title: Circular Genomic Permutation using Genome Wide Association p-Values
Version: 1.7
Date: 2021-05-06
Authors@R: c(person(given=c("Claudia","P"),family="Cabrera",role = c("aut", "cre"), email = "c.cabrera@qmul.ac.uk"), person(given="Pau",family="Navarro", role = "aut"), person(given=c("Chris","S"),family="Haley", role = "aut"))
Author: Claudia P Cabrera [aut, cre], Pau Navarro [aut], Chris S Haley [aut]
Maintainer: Claudia P Cabrera <c.cabrera@qmul.ac.uk>
Imports: stats,grDevices,utils,graphics,DBI,reactome.db,AnnotationDbi
Description: Circular genomic permutation approach uses genome wide association studies (GWAS) results to establish the significance of pathway/gene-set associations whilst accounting for genomic structure(Cabrera et al (2012) <doi:10.1534/g3.112.002618>). All single nucleotide polymorphisms (SNPs) in the GWAS are placed in a 'circular genome' according to their location. Then the complete set of SNP association p-values are permuted by rotation with respect to the SNPs' genomic locations. Two testing frameworks are available: permutations at the gene level, and permutations at the SNP level. The permutation at the gene level uses Fisher's combination test to calculate a single gene p-value, followed by the hypergeometric test. The SNP count methodology maps each SNP to pathways/gene-sets and calculates the proportion of SNPs for the real and the permutated datasets above a pre-defined threshold. Genomicper requires a matrix of GWAS association p-values and SNPs annotation to genes. Pathways can be obtained from within the package or can be provided by the user.
License: GPL-2
NeedsCompilation: no
Packaged: 2021-05-06 16:06:27 UTC; PallisDell
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-05-08 08:00:05 UTC

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New package WienR with initial version 0.1-9
Package: WienR
Version: 0.1-9
Title: Derivatives of the Diffusion Density and Cumulative Distribution Function
Authors@R: c(person("Raphael", "Hartmann", email = "raphael.hartmann@protonmail.com", role = c("aut", "cre")), person("Karl C.", "Klauer", email="christoph.klauer@psychologie.uni-freiburg.de", role=c("cph", "aut", "ctb", "ths")), person("Steven G.", "Johnson", email="stevenj@math.mit.edu", role=c("ctb")), person("Jean M.", "Linhart", email="jlinhart@stata.com", role=c("ctb")), person("Brian", "Gough", role=c("ctb")), person("Gerard", "Jungman", role=c("ctb")), person("Rudolf", "Schuerer", role=c("ctb")), person("Przemyslaw", "Sliwa", role=c("ctb")), person("Jason H.", "Stover", role=c("ctb")))
Author: Raphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb, ths], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [ctb], Przemyslaw Sliwa [ctb], Jason H. Stover [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>
Depends: R (>= 4.0.0)
NeedsCompilation: yes
Description: Calculate the partial derivative of the first-passage time diffusion probability density function (PDF) and cumulative distribution function (CDF) with respect to the first-passage time t (only for PDF), the upper barrier a, the drift rate v, the relative starting point w, the non-decision time t0, the inter-trial variability of the drift rate sv, the inter-trial variability of the rel. starting point sw, and the inter-trial variability of the non-decision time st0. In addition the PDF and CDF themselves are also provided. Most calculations are done on the logarithmic scale to make it more stable. For the numerical integration we used the C library cubature by Johnson, S. G. (2005-2013) <https://github.com/stevengj/cubature>. Numerical integration is required whenever sv, sw, and/or st0 is not zero. Note that numerical integration reduces speed of the computation.
License: GPL (>= 2)
Encoding: UTF-8
Packaged: 2021-05-07 11:04:47 UTC; fluffy
Repository: CRAN
Date/Publication: 2021-05-07 13:10:02 UTC

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New package SpatialKWD with initial version 0.4.0
Package: SpatialKWD
Title: Spatial KWD for Large Spatial Maps
Version: 0.4.0
Date: 2021-05-07
Author: Stefano Gualandi [aut, cre]
Authors@R: c(person("Stefano", "Gualandi", role = c("aut", "cre"), email = "stefano.gualandi@gmail.com") )
Maintainer: Stefano Gualandi <stefano.gualandi@gmail.com>
Description: Contains efficient implementations of Discrete Optimal Transport algorithms for the computation of Kantorovich-Wasserstein distances between pairs of large spatial maps (Bassetti, Gualandi, Veneroni (2020), <doi:10.1137/19M1261195>). All the algorithms are based on an ad-hoc implementation of the Network Simplex algorithm. The package has four main helper functions: compareOneToOne() (to compare two spatial maps), compareOneToMany() (to compare a reference map with a list of other maps), compareAll() (to compute a matrix of distances between a list of maps), and focusArea() (to compute the KWD distance within a focus area). In non-convex maps, the helper functions first build the convex-hull of the input bins and pad the weights with zeros.
License: EUPL (>= 1.2)
Imports: methods, Rcpp
SystemRequirements: C++11
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-05-07 07:57:24 UTC; stegua
Repository: CRAN
Date/Publication: 2021-05-07 12:50:02 UTC

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New package qch with initial version 1.0.0
Package: qch
Title: Query Composed Hypotheses
Version: 1.0.0
Authors@R: person(given = "Tristan", family = "Mary-Huard", role = c("aut", "cre"), email = "tristan.mary-huard@agroparistech.fr", comment = c(ORCID = "0000-0002-3839-9067"))
Description: Provides functions for the joint analysis of K sets of p-values obtained for a same list of items. This joint analysis is performed by querying a composed hypothesis, i.e. an arbitrary complex combination of simple hypotheses, as described in Mary-Huard et al. (2021) <arXiv:2104.14601>. The null distribution corresponding to the composed hypothesis of interest is obtained by fitting non-parametric mixtures models (one for each of the simple hypothesis of the complex combination). Type I error rate control is achieved through Bayesian False Discovery Rate control. The 3 main functions of the package GetHinfo(), qch.fit() and qch.test() correspond to the 3 steps for querying a composed hypothesis (composed H0/H1 formulation, inferring the null distribution and testing the null hypothesis).
License: GPL-3
Depends: R (>= 2.10)
Imports: graphics, ks, mclust, stats
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-06 13:12:40 UTC; dsi
Author: Tristan Mary-Huard [aut, cre] (<https://orcid.org/0000-0002-3839-9067>)
Maintainer: Tristan Mary-Huard <tristan.mary-huard@agroparistech.fr>
Repository: CRAN
Date/Publication: 2021-05-07 12:10:02 UTC

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New package hakaiApi with initial version 1.0.0
Package: hakaiApi
Title: Authenticated HTTP Request Client for the 'Hakai' API
Version: 1.0.0
Authors@R: c(person(given = "Taylor", family = "Denouden", role = c("aut", "cre"), email = "taylor.denouden@hakai.org"), person(given = "Brett", family = "Johnson", role = "aut", email = "brett.johnson@hakai.org"), person(given = "Nate", family = "Rosenstock", role = "ctb", email = "nate.rosenstock@hakai.org"), person(given = "Chris", family = "Davis", role = "ctb", email = "chris.davis@hakai.org"))
Description: Initializes a class that obtains API credentials and provides a method to use those credentials to make GET requests to the 'Hakai' API server. Usage instructions are documented at <https://hakaiinstitute.github.io/hakai-api/>.
License: MIT + file LICENSE
URL: https://github.com/HakaiInstitute/hakai-api-client-r
BugReports: https://github.com/HakaiInstitute/hakai-api-client-r/issues
Depends: R (>= 3.3.0)
Imports: httr, R6, readr, tibble
Suggests: knitr, markdown, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-CA
NeedsCompilation: no
Packaged: 2021-05-06 16:39:01 UTC; taylor
Author: Taylor Denouden [aut, cre], Brett Johnson [aut], Nate Rosenstock [ctb], Chris Davis [ctb]
Maintainer: Taylor Denouden <taylor.denouden@hakai.org>
Repository: CRAN
Date/Publication: 2021-05-07 12:10:05 UTC

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New package geysertimes with initial version 0.1.6
Package: geysertimes
Title: Geyser Data from GeyserTimes.org
Version: 0.1.6
Imports: jsonlite, lubridate, rappdirs, readr, tools, utils
Suggests: curl, dplyr, knitr, rmarkdown
Authors@R: person(given = "Stephen", family = "Kaluzny", role = c("aut", "cre"), email = "spkaluzny@gmail.com")
Description: Download geyser eruption and observation data from the GeyserTimes site (<https://geysertimes.org>) and optionally store it locally. The vignette shows a simple analysis of downloading, accessing, and summarizing the data.
License: MIT + file LICENSE
URL: https://github.com/geysertimes/geysertimes-r-package
BugReports: https://github.com/geysertimes/geysertimes-r-package/issues
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-05-06 22:16:39 UTC; spk
Author: Stephen Kaluzny [aut, cre]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-07 12:40:02 UTC

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New package ttt with initial version 1.0
Package: ttt
Version: 1.0
Date: 2021-05-06
Title: The Table Tool
Authors@R: person("Benjamin", "Rich", role=c("aut", "cre"), email="mail@benjaminrich.net")
URL: https://github.com/benjaminrich/ttt
BugReports: https://github.com/benjaminrich/ttt/issues
Description: Create structured, formatted HTML tables of in a flexible and convenient way.
License: GPL-3
Imports: stats,Formula,knitr,htmltools
Suggests: rmarkdown,table1,magrittr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-06 12:28:03 UTC; Ben
Author: Benjamin Rich [aut, cre]
Maintainer: Benjamin Rich <mail@benjaminrich.net>
Repository: CRAN
Date/Publication: 2021-05-07 11:50:02 UTC

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New package hypoRF with initial version 1.0.0
Package: hypoRF
Title: Random Forest Two-Sample Tests
Version: 1.0.0
Author: Hediger Simon, Loris Michel, Jeffrey Naef
Maintainer: Hediger Simon <simon.hediger@uzh.ch>
Description: An implementation of Random Forest-based two-sample tests as introduced in Hediger & Michel & Naef (2020) <arXiv:1903.06287>.
License: GPL-3
Imports: stats, ranger
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-05-06 09:33:01 UTC; loris
Repository: CRAN
Date/Publication: 2021-05-07 09:50:02 UTC

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New package D2MCS with initial version 1.0.0
Package: D2MCS
Title: Data Driving Multiple Classifier System
Version: 1.0.0
Authors@R: c(person(given = "David", family = "Ruano-Ordás", role = c("aut","ctb"), email = "drordas@uvigo.es"), person(given = "Miguel", family = "Ferreiro-Díaz", role = c("aut","cre"), email = "miguel.ferreiro.diaz@gmail.com"), person(given = "José Ramón", family = "Méndez", role = c("aut","ctb"), email = "moncho.mendez@uvigo.es"), person(given = "University of Vigo", role = c("cph")))
Description: Provides a novel framework to able to automatically develop and deploy an accurate Multiple Classifier System based on the feature-clustering distribution achieved from an input dataset. 'D2MCS' was developed focused on four main aspects: (i) the ability to determine an effective method to evaluate the independence of features, (ii) the identification of the optimal number of feature clusters, (iii) the training and tuning of ML models and (iv) the execution of voting schemes to combine the outputs of each classifier comprising the Multiple Classifier System.
Date: 2021-05-05
License: GPL-3
URL: https://github.com/drordas/D2MCS
BugReports: https://github.com/drordas/D2MCS/issues
Depends: R (>= 4.0)
Imports: caret, devtools, dplyr, FSelector, ggplot2, ggrepel, gridExtra, infotheo, mccr, mltools, ModelMetrics, questionr, recipes, R6, tictoc, varhandle
Suggests: grDevices, knitr, rmarkdown, testthat (>= 3.0.2)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-05 19:11:47 UTC; Maite
Author: David Ruano-Ordás [aut, ctb], Miguel Ferreiro-Díaz [aut, cre], José Ramón Méndez [aut, ctb], University of Vigo [cph]
Maintainer: Miguel Ferreiro-Díaz <miguel.ferreiro.diaz@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-07 09:30:03 UTC

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New package vasicekreg with initial version 1.0.0
Package: vasicekreg
Title: Regression Modeling Using Vasicek Distribution
Version: 1.0.0
Date: 2021-05-01
Authors@R: c(person(given = "Josmar", family = "Mazucheli", role = c("aut", "cre"), email = "jmazucheli@gmail.com"), person(given = "Bruna", family = "Alves", role = "ctb", email = "pg402900@uem.br"))
Author: Josmar Mazucheli [aut, cre], Bruna Alves [ctb]
Maintainer: Josmar Mazucheli <jmazucheli@gmail.com>
Description: Vasicek density, cumulative distribution, quantile functions and random deviate generation of Vasicek distribution. In addition, there are two functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005, <doi:10.1111/j.1467-9876.2005.00510.x>). Some functions are written in C++ using 'Rcpp', developed by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>).
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: yes
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, stats, gamlss, gamlss.dist
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.6)
NeedsCompilation: yes
Packaged: 2021-05-05 17:28:59 UTC; jmazucheli
Repository: CRAN
Date/Publication: 2021-05-07 08:50:02 UTC

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New package CSIndicators with initial version 0.0.1
Package: CSIndicators
Title: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions
Version: 0.0.1
Authors@R: c( person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8568-3071")), person("Chou", "Chihchung", ,"chihchung.chou@bsc.es", role = "aut"), person("Llorenç", "Lledó", , "llorenc.lledo@bsc.es", role = "aut"), person("González-Reviriego", "Nube", , "nube.gonzalez@bsc.es", role = "ctb"), person("Marcos", "Raül", , "raul.marcos@bsc.es", role = "ctb"), person("Palma", "Lluis", , "lluis.palma@bsc.es", role = "ctb"), person("BSC-CNS", role = "cph"))
Description: Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management…). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package was developed in the context of H2020 MED-GOLD (776467) and S2S4E (776787) projects. Lledó et al. (2019) <doi:10.1016/j.renene.2019.04.135>.
Depends: R (>= 3.6.0)
Imports: multiApply (>= 2.1.1), s2dv, stats, ClimProjDiags
Suggests: testthat, CSTools, knitr, markdown, rmarkdown
VignetteBuilder: knitr
License: Apache License 2.0
URL: https://earth.bsc.es/gitlab/es/csindicators/
BugReports: https://earth.bsc.es/gitlab/es/csindicators/-/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-05 15:27:12 UTC; nperez
Author: Nuria Perez-Zanon [aut, cre] (<https://orcid.org/0000-0001-8568-3071>), Chou Chihchung [aut], Llorenç Lledó [aut], González-Reviriego Nube [ctb], Marcos Raül [ctb], Palma Lluis [ctb], BSC-CNS [cph]
Maintainer: Nuria Perez-Zanon <nuria.perez@bsc.es>
Repository: CRAN
Date/Publication: 2021-05-07 08:40:03 UTC

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New package SIPDIBGE with initial version 0.1.3
Package: SIPDIBGE
Title: Collection of Household Survey Packages Conducted by IBGE
Version: 0.1.3
Authors@R: c(person("Gabriel", "Assuncao", email = "pacotesipd@ibge.gov.br", role = c("aut", "cre")), person("Luna", "Hidalgo", email = "pacotesipd@ibge.gov.br", role = c("aut")), person("Douglas", "Braga", email = "pacotesipd@ibge.gov.br", role = c("ctb")))
Description: Provides access to packages developed for downloading, reading and analysing microdata from household surveys conducted by Brazilian Institute of Geography and Statistics - IBGE. More information can be obtained from the official website <https://www.ibge.gov.br/>.
Depends: R (>= 3.2.0), PNADcIBGE (>= 0.6.0), POFIBGE (>= 0.1.0), PNSIBGE (>= 0.1.0), COVIDIBGE (>= 0.1.0)
Imports: tidyverse, cli, purrr, rstudioapi, png, grDevices, graphics, utils, tibble
Suggests: survey, readr, dplyr, magrittr, projmgr, httr, RCurl, timeDate, readxl, convey
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>
Packaged: 2021-05-01 01:29:25 UTC; gabriel.assuncao
Repository: CRAN
Date/Publication: 2021-05-06 09:10:02 UTC

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New package workloopR with initial version 1.1.4
Package: workloopR
Title: Analysis of Work Loops and Other Data from Muscle Physiology Experiments
Version: 1.1.4
Authors@R: c(person(given = "Vikram B.", family = "Baliga", role = c("aut", "cre"), email = "vbaliga87@gmail.com", comment = c(ORCID = "0000-0002-9367-8974")), person(given = "Shreeram", family = "Senthivasan", role = "aut", email = "shreeramsenthi@gmail.com", comment = c(ORCID = "0000-0002-7118-9547")), person(given = "Julia", family = "Romanowska", role = "rev", email = "Julia.Romanowska@uib.no", comment = "Julia reviewed the package for rOpenSci , see <https://github.com/ropensci/software-review/issues/326/>"), person(given = "Eric", family = "Brown", role = "rev", email = "eb@ericebrown.com", comment = "Eric reviewed the package for rOpenSci , see <https://github.com/ropensci/software-review/issues/326/>"))
Description: Functions for the import, transformation, and analysis of data from muscle physiology experiments. The work loop technique is used to evaluate the mechanical work and power output of muscle. Josephson (1985) <doi:10.1242/jeb.114.1.493> modernized the technique for application in comparative biomechanics. Although our initial motivation was to provide functions to analyze work loop experiment data, as we developed the package we incorporated the ability to analyze data from experiments that are often complementary to work loops. There are currently three supported experiment types: work loops, simple twitches, and tetanus trials. Data can be imported directly from .ddf files or via an object constructor function. Through either method, data can then be cleaned or transformed via methods typically used in studies of muscle physiology. Data can then be analyzed to determine the timing and magnitude of force development and relaxation (for isometric trials) or the magnitude of work, net power, and instantaneous power among other things (for work loops). Although we do not provide plotting functions, all resultant objects are designed to be friendly to visualization via either base-R plotting or 'tidyverse' functions. This package has been peer-reviewed by rOpenSci (v. 1.1.0).
URL: https://docs.ropensci.org/workloopR/, https://github.com/ropensci/workloopR/
BugReports: https://github.com/ropensci/workloopR/issues/
Imports: pracma (>= 2.0.7), signal (>= 0.7-6)
Suggests: testthat (>= 2.1.1), knitr, rmarkdown, dplyr, ggplot2, magrittr, purrr, tidyr
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-05 01:12:54 UTC; vbali
Author: Vikram B. Baliga [aut, cre] (<https://orcid.org/0000-0002-9367-8974>), Shreeram Senthivasan [aut] (<https://orcid.org/0000-0002-7118-9547>), Julia Romanowska [rev] (Julia reviewed the package for rOpenSci , see <https://github.com/ropensci/software-review/issues/326/>), Eric Brown [rev] (Eric reviewed the package for rOpenSci , see <https://github.com/ropensci/software-review/issues/326/>)
Maintainer: Vikram B. Baliga <vbaliga87@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-06 08:10:02 UTC

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New package RHclust with initial version 1.0.0
Package: RHclust
Title: Vectors in Partitioning
Version: 1.0.0
Authors@R: c(person("Joseph","Handwerker", role = c("aut", "cre"), email = "jkhndwrk@memphis.edu"), person("Lauren","Sobral", role = "ctb"), person("Meredith","Ray", role = c("aut","ctb")))
Maintainer: Joseph Handwerker <jkhndwrk@memphis.edu>
Description: Non-parametric clustering of joint pattern multi-genetic/epigenetic factors. The goal of this package is to cluster subjects based on gene features including single nucleotide polymorphisms (SNPs), DNA methylation (CPG), and gene expression (GE). The novel concept follows the general K-means (Hartigan and Wong (1979) <doi:10.2307/2346830> framework but uses weighted Euclidean distances across the gene features to cluster subjects. This approach is unique in that it attempts to capture all pairwise interactions in an effort to cluster based on their complex biological interactions.
License: Artistic-2.0
Encoding: UTF-8
Imports: Runuran,graphics,stats,utils
NeedsCompilation: no
Packaged: 2021-05-05 15:52:27 UTC; kip
Author: Joseph Handwerker [aut, cre], Lauren Sobral [ctb], Meredith Ray [aut, ctb]
Repository: CRAN
Date/Publication: 2021-05-06 09:00:05 UTC

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New package pathviewr with initial version 1.0.1
Package: pathviewr
Title: Wrangle, Analyze, and Visualize Animal Movement Data
Version: 1.0.1
Authors@R: c(person(given = "Vikram B.", family = "Baliga", role = c("aut", "cre"), email = "vbaliga87@gmail.com", comment = c(ORCID = "0000-0002-9367-8974")), person(given = "Melissa S.", family = "Armstrong", role = "aut", email = "melissa.armstrong@gmail.com", comment = c(ORCID = "0000-0002-3059-0094")), person(given = "Eric R.", family = "Press", role = "aut", email = "epress12@gmail.com", comment = c(ORCID = "0000-0002-1944-3755")), person(given = "Anne-Sophie", family = "Bonnet-Lebrun", role = "rev"), person(given = "Marco", family = "Sciaini", role = "rev") )
Description: Tools to import, clean, and visualize movement data, particularly from motion capture systems such as Optitrack's 'Motive', the Straw Lab's 'Flydra', or from other sources. We provide functions to remove artifacts, standardize tunnel position and tunnel axes, select a region of interest, isolate specific trajectories, fill gaps in trajectory data, and calculate 3D and per-axis velocity. For experiments of visual guidance, we also provide functions that use subject position to estimate perception of visual stimuli.
Maintainer: Vikram B. Baliga <vbaliga87@gmail.com>
License: GPL-3
Encoding: UTF-8
Imports: R.matlab, data.table (>= 1.12.2), magrittr (>= 1.5), dplyr (>= 1.0.0), stringr (>= 1.4.0), tibble (>= 3.0.1), tidyr (>= 1.1.0), fANCOVA, purrr (>= 0.3.3), ggplot2 (>= 3.3.0), tidyselect (>= 1.1.0), cowplot
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
URL: https://github.com/ropensci/pathviewr/, https://docs.ropensci.org/pathviewr/
BugReports: https://github.com/ropensci/pathviewr/issues/
NeedsCompilation: no
Packaged: 2021-05-05 01:48:09 UTC; vbali
Author: Vikram B. Baliga [aut, cre] (<https://orcid.org/0000-0002-9367-8974>), Melissa S. Armstrong [aut] (<https://orcid.org/0000-0002-3059-0094>), Eric R. Press [aut] (<https://orcid.org/0000-0002-1944-3755>), Anne-Sophie Bonnet-Lebrun [rev], Marco Sciaini [rev]
Repository: CRAN
Date/Publication: 2021-05-06 08:10:05 UTC

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New package modelimpact with initial version 1.0.0
Package: modelimpact
Title: Functions to Assess the Business Impact of Churn Prediction Models
Version: 1.0.0
Author: Peer Christensen
Maintainer: Peer Christensen <hr.pchristensen@gmail.com>
Description: Calculate the financial impact of using a churn model in terms of cost, revenue, profit and return on investment.
License: MIT + file LICENSE
URL: https://github.com/PeerChristensen/modelimpact
BugReports: https://github.com/PeerChristensen/modelimpact/issues
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, utils
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-05-05 14:33:56 UTC; peerchristensen
Repository: CRAN
Date/Publication: 2021-05-06 08:50:02 UTC

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New package interflex with initial version 1.2.5
Package: interflex
Version: 1.2.5
Title: Multiplicative Interaction Models Diagnostics and Visualization
Date: 2021-05-02
Authors@R: c(person("Jens Hainmueller", role=c("aut","ctb")), person("Jonathan Mummolo", role=c("aut","ctb")), person("Yiqing Xu", role=c("aut","ctb"), email = "yiqingxu@stanford.edu"), person("Ziyi Liu", role=c("aut","cre"), email = "zyliu2020@uchicago.edu"))
Description: Performs diagnostic tests of multiplicative interaction models and plots non-linear marginal effects of a treatment on an outcome across different values of a moderator.
URL: http://yiqingxu.org/software/interaction/RGuide.html
License: MIT + file LICENSE
Imports: ggplot2 (>= 2.1.0), sandwich (>= 2.3-4), Lmoments (>= 1.2-3), doParallel (>= 1.0.10), foreach (>= 1.4.3), mgcv(>= 1.8-16), lfe (>= 2.6-2291), gridExtra, grid, ggplotify, RColorBrewer,pcse, gtable, MASS, mvtnorm, pROC, ModelMetrics, Rcpp, lmtest, AER, future
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
NeedsCompilation: yes
Maintainer: Ziyi Liu <zyliu2020@uchicago.edu>
Packaged: 2021-05-05 02:35:49 UTC; cug
Depends: R (>= 3.5.0)
Author: Jens Hainmueller [aut, ctb], Jonathan Mummolo [aut, ctb], Yiqing Xu [aut, ctb], Ziyi Liu [aut, cre]
Repository: CRAN
Date/Publication: 2021-05-06 08:20:06 UTC

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New package greeks with initial version 0.0.1
Package: greeks
Title: Calculates Sensitivities of Prices of Financial Options
Version: 0.0.1
Authors@R: person(given = "Anselm", family = "Hudde", role = c("aut", "cre"), email = "anselmhudde@gmx.de", comment = c(ORCID = "0000-0002-5652-2815"))
Description: Provides functions to calculate sensitivities of financial option prices for European and Asian options in the Black Scholes model. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017). Options, Futures, and Other Derivatives, Global Edition (9th Edition). Pearson. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2016). European and Asian Malliavin Monte Carlo Greeks for general Jump Diffusions with nonvanishing Brownian motion part. <arXiv:1603.00920>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: magrittr
NeedsCompilation: no
Packaged: 2021-05-05 15:13:01 UTC; Compi
Author: Anselm Hudde [aut, cre] (<https://orcid.org/0000-0002-5652-2815>)
Maintainer: Anselm Hudde <anselmhudde@gmx.de>
Repository: CRAN
Date/Publication: 2021-05-06 09:00:02 UTC

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New package good with initial version 1.0.0
Package: good
Title: Good Regression
Version: 1.0.0
Authors@R: c(person(given = "Jordi", family = "Tur", role = c("aut", "cre"), email = "jjtur@crm.cat"), person(given = "David", family = "Moriña", role = "ctb"), person(given = "Pere", family = "Puig", role = "ctb"), person(given = "Argimiro", family = "Arratia", role = "ctb"), person(given = "Alejandra", family = "Cabaña", role = "ctb"), person(given = "Amanda", family = "Fernández-Fontelo", role = "aut"))
Description: Fit Good regression models to count data (Tur et al., 2021) <arXiv:2105.01557>. The package provides functions for model estimation and model prediction. Density, distribution function, quantile function and random generation for the Good distribution are also provided.
License: GPL (>= 2)
Imports: copula, maxLik, plyr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-05 14:52:44 UTC; tur
Author: Jordi Tur [aut, cre], David Moriña [ctb], Pere Puig [ctb], Argimiro Arratia [ctb], Alejandra Cabaña [ctb], Amanda Fernández-Fontelo [aut]
Maintainer: Jordi Tur <jjtur@crm.cat>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-05-06 08:50:05 UTC

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New package ecostatscale with initial version 1.0
Package: ecostatscale
Title: Statistical Scaling Functions for Ecological Systems
Version: 1.0
Authors@R: c(person("Adam", "Clark", role = c("aut", "cre"), email = c("adam.tclark@gmail.com"), comment = c(ORCID = "0000-0002-8843-3278")))
Description: Implementation of the scaling functions presented in "General statistical scaling laws for stability in ecological systems" by Clark et al in Ecology Letters <DOI:10.1111/ele.13760>. Includes functions for extrapolating variability, resistance, and resilience across spatial and ecological scales, as well as a basic simulation function for producing time series, and a regression routine for generating unbiased parameter estimates. See the main text of the paper for more details.
Imports: mvtnorm, stats, graphics, deSolve
License: GPL-3
Encoding: UTF-8
Date: 2021-05-05
NeedsCompilation: no
Packaged: 2021-05-05 10:26:13 UTC; adamt
Author: Adam Clark [aut, cre] (<https://orcid.org/0000-0002-8843-3278>)
Maintainer: Adam Clark <adam.tclark@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-06 08:20:09 UTC

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New package TopDom with initial version 0.10.1
Package: TopDom
Version: 0.10.1
Title: An Efficient and Deterministic Method for Identifying Topological Domains in Genomes
Depends: R (>= 3.3.0)
Imports: matrixStats, grid, ggplot2, reshape2, tibble
Suggests: diffobj (>= 0.1.11)
Authors@R: c(person("Henrik", "Bengtsson", role = c("aut", "cre", "cph"), email = "henrikb@braju.com"), person("Hanjun", "Shin", role = c("aut", "ctr", "cph"), email = "shanjun@usc.edu"), person("Harris", "Lazaris", role = c("ctr", "cph"), comment = "PhD Student, NYU"), person("Gangqing", "Hu", role = c("ctr", "cph"), comment = "Staff Scientist, NIH"), person("Xianghong", "Zhou", role = c("ctr"), email = "XJZhou@mednet.ucla.edu"))
Description: The 'TopDom' method identifies topological domains in genomes from Hi-C sequence data (Shin et al., 2016 <doi:10.1093/nar/gkv1505>). The authors published an implementation of their method as an R script (two different versions; also available in this package). This package originates from those original 'TopDom' R scripts and provides help pages adopted from the original 'TopDom' PDF documentation. It also provides a small number of bug fixes to the original code.
License: GPL
LazyLoad: TRUE
URL: https://github.com/HenrikBengtsson/TopDom
BugReports: https://github.com/HenrikBengtsson/TopDom/issues
NeedsCompilation: no
Packaged: 2021-05-04 15:51:05 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph], Hanjun Shin [aut, ctr, cph], Harris Lazaris [ctr, cph] (PhD Student, NYU), Gangqing Hu [ctr, cph] (Staff Scientist, NIH), Xianghong Zhou [ctr]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2021-05-06 07:40:03 UTC

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New package ggstream with initial version 0.1.0
Package: ggstream
Title: Create Streamplots in 'ggplot2'
Version: 0.1.0
Authors@R: person(given = "David", family = "Sjoberg", role = c("aut", "cre"), email = "dav.sjob@gmail.com")
Description: Make smoothed stacked area charts in 'ggplot2'. Stream plots are useful to show magnitude trends over time.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: ggplot2, purrr, dplyr, stats, magrittr, tidyr, forcats
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2021-05-04 17:27:21 UTC; davidsjoberg
Author: David Sjoberg [aut, cre]
Maintainer: David Sjoberg <dav.sjob@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-06 07:50:03 UTC

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New package elisr with initial version 0.1.0
Package: elisr
Title: Exploratory Likert Scaling
Version: 0.1.0
Authors@R: c(person(given = "Steven", family = "Bißantz", role = c("aut", "cre"), email = "steven.bissantz@gmail.com"), person(given = "Thomas", family = "Müller-Schneider", role = "ctb", email = "tms@uni-landau.de"))
Description: An alternative to Exploratory Factor Analysis (EFA) for metrical data in R. Drawing on characteristics of classical test theory, Exploratory Likert Scaling (ELiS) supports the user exploring multiple one-dimensional data structures. In common research practice, however, EFA remains the go-to method to uncover the (underlying) structure of a data set. Orthogonal dimensions and the potential of overextraction are often accepted as side effects. As described in Müller-Schneider (2001) <doi:10.1515/zfsoz-2001-0404>), ELiS confronts these problems. As a result, 'elisr' provides the platform to fully exploit the exploratory potential of the multiple scaling approach itself.
License: GPL (>= 3)
URL: https://github.com/sbissantz/elisr
BugReports: https://github.com/sbissantz/elisr/issues
Depends: R (>= 4.0.0)
Imports: stats (>= 4.0.0)
Suggests: covr, devtools, knitr, pkgdown, psych, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en, de
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-04 17:44:37 UTC; steven
Author: Steven Bißantz [aut, cre], Thomas Müller-Schneider [ctb]
Maintainer: Steven Bißantz <steven.bissantz@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-06 07:50:05 UTC

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New package div with initial version 0.3.1
Package: div
Title: Report on Diversity and Inclusion in a Corporate Setting
Version: 0.3.1
Authors@R: person("Philippe J.S.", "De Brouwer", email = "philippe@de-brouwer.com", role = c("aut", "cre"))
Maintainer: Philippe J.S. De Brouwer <philippe@de-brouwer.com>
License: AGPL (>= 3)
URL: http://www.de-brouwer.com/div/
BugReports: https://github.com/DrPhilippeDB/div/issues/
Description: Facilitate the analysis of teams in a corporate setting: assess the diversity per grade and job, present the results, search for bias (in hiring and/or promoting processes). It also provides methods to simulate the effect of bias, random team-data, etc. White paper: 'Philippe J.S. De Brouwer' (2021) <http://www.de-brouwer.com/assets/div/div-white-paper.pdf>. Book (chapter 36): 'Philippe J.S. De Brouwer' (2020, ISBN:978-1-119-63272-6) and 'Philippe J.S. De Brouwer' (2020) <doi:10.1002/9781119632757>.
Encoding: UTF-8
Collate: 'headers.R' 'diversity.R' 'div_conf_colour.R' 'div_fake_team.R' 'div_ci_median.R' 'div_paygap.R' 'div_parse_paygap.R' 'div_round_paygap.R' 'div_gauge_plot.R' 'div_plot_paygap_distribution.R' 'div_add_median_label.R' 'print.paygap.R' 'summary.paygap.R'
Depends: R (>= 3.4.0), tidyverse
Imports: rlang, dplyr, tibble, tidyr, stringr, magrittr, ggplot2, gridExtra, plotly, pryr, rpart, kableExtra
Suggests: flexdashboard, knitr, rmarkdown, grid, lattice
NeedsCompilation: no
Repository: CRAN
Packaged: 2021-05-04 19:02:09 UTC; philippe
Author: Philippe J.S. De Brouwer [aut, cre]
Date/Publication: 2021-05-06 08:00:02 UTC

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New package windfarmGA with initial version 3.0.0
Package: windfarmGA
Title: Genetic Algorithm for Wind Farm Layout Optimization
Version: 3.0.0
Authors@R: c( person("Sebastian", "Gatscha", , email="sebastian_gatscha@gmx.at", c("aut", "cre")) )
Maintainer: Sebastian Gatscha <sebastian_gatscha@gmx.at>
Description: The genetic algorithm is designed to optimize wind farms of any shape. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.
Depends: R (>= 3.2.3)
Imports: Rcpp, raster, sf, elevatr, RColorBrewer, calibrate, grDevices, graphics, foreach, parallel, doParallel, magrittr, methods, stats, utils
LinkingTo: Rcpp
LazyData: TRUE
License: MIT + file LICENSE
URL: https://ysosirius.github.io/windfarmGA/index.html
BugReports: https://github.com/YsoSirius/windfarmGA/issues
Suggests: testthat, rgdal, rgeos, stars, leaflet, ggplot2, gstat, rworldmap
Encoding: UTF-8
X-schema.org-keywords: windfarm-layout, optimization, genetic-algorithm, renewable-energy, r, rstats, r-package
NeedsCompilation: yes
Packaged: 2021-05-05 06:04:44 UTC; gatscha
Author: Sebastian Gatscha [aut, cre]
Repository: CRAN
Date/Publication: 2021-05-05 15:20:03 UTC

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New package CALIBERrfimpute with initial version 1.0-5
Package: CALIBERrfimpute
Title: Multiple Imputation Using MICE and Random Forest
Version: 1.0-5
Date: 2021-04-29
Authors@R: c(person("Anoop", "Shah", role=c("aut", "cre"), email="anoop@doctors.org.uk"), person("Jonathan", "Bartlett", role="ctb"), person("Harry", "Hemingway", role="ths"), person("Owen", "Nicholas", role="ths"), person("Aroon", "Hingorani", role="ths"))
Description: Functions to impute using random forest under full conditional specifications (multivariate imputation by chained equations). The methods are described in Shah and others (2014) <doi:10.1093/aje/kwt312>.
License: GPL-3
Depends: mice (>= 2.20)
Imports: mvtnorm, randomForest
Suggests: missForest, rpart, survival, xtable
Author: Anoop Shah [aut, cre], Jonathan Bartlett [ctb], Harry Hemingway [ths], Owen Nicholas [ths], Aroon Hingorani [ths]
Maintainer: Anoop Shah <anoop@doctors.org.uk>
BuildVignettes: TRUE
NeedsCompilation: no
Packaged: 2021-04-30 10:46:27 UTC; anoop
Repository: CRAN
Date/Publication: 2021-05-05 09:00:04

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New package wrappedtools with initial version 0.7.6
Package: wrappedtools
Title: Useful Wrappers Around Commonly Used Functions
Description: The main functionalities of 'wrappedtools' are: adding backticks to variable names; rounding to desired precision with special case for p-values; selecting columns based on pattern and storing their position, name, and backticked name; computing and formatting of descriptive statistics (e.g. mean±SD), comparing groups and creating publication-ready tables with descriptive statics and p-values; creating specialized plots for correlation or regression trees. Functions were mainly written for my own daily work or teaching, but may be of use to others as well.
Version: 0.7.6
Date: 2021-05-03
Authors@R: person(given = "Andreas", family = "Busjahn", role = c("cre", "aut"), email = "andreas@busjahn.net", comment = c(ORCID = "0000-0001-9650-6919"))
Maintainer: Andreas Busjahn <andreas@busjahn.net>
License: GPL-3
Encoding: UTF-8
Imports: stats, boot, knitr, ggalluvial, coin, rlist, utils, testthat, dplyr, forcats, purrr, ggdendro, glue, rlang, stringr, magrittr, ggplot2, tibble, tidyr, kableExtra
Depends: tidyverse
VignetteBuilder: knitr
Suggests: rmarkdown
NeedsCompilation: no
Packaged: 2021-05-04 10:18:15 UTC; abusj
Author: Andreas Busjahn [cre, aut] (<https://orcid.org/0000-0001-9650-6919>)
Repository: CRAN
Date/Publication: 2021-05-05 06:30:02 UTC

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New package visachartR with initial version 1.0.2
Package: visachartR
Version: 1.0.2
Date: 2021-04-13
Title: Wrapper for 'Visa Chart Components'
Description: Provides a set of wrapper functions for 'Visa Chart Components'. 'Visa Chart Components' <https://github.com/visa/visa-chart-components> is an accessibility focused, framework agnostic set of data experience design systems components for the web.
Authors@R: c(person(given = "Christopher", family = "DeMartini", role = c("aut", "cre"), email = "chris.demartini.npm@gmail.com"), person(given = "Jaime", family = "Tanner", role = c("aut"), email = "jaimeatanner@gmail.com"), person(given = "Frank", family = "Elavsky", role = c("aut"), email = "frankelavsky@gmail.com"), person(given = "Wojtek", family = "Kostelecki", role = c("ctb"), email = "wojtek.kostelecki@gmail.com"), person(given = "Visa Data Experience Team", role = c("aut", "fnd")), person(given = "Visa, Inc.", role = c("cph")))
BugReports: https://github.com/visa/visa-chart-components/issues
License: MIT + file LICENSE
URL: https://github.com/visa/visa-chart-components/tree/master/packages/charts-R
Language: en-US
Encoding: UTF-8
Imports: htmlwidgets
Suggests: dplyr, knitr, rmarkdown, tibble, tidyverse
NeedsCompilation: no
Packaged: 2021-04-23 21:25:13 UTC; wkost
Author: Christopher DeMartini [aut, cre], Jaime Tanner [aut], Frank Elavsky [aut], Wojtek Kostelecki [ctb], Visa Data Experience Team [aut, fnd], Visa, Inc. [cph]
Maintainer: Christopher DeMartini <chris.demartini.npm@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-05 06:20:03 UTC

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New package standartox with initial version 0.0.1
Package: standartox
Version: 0.0.1
Date: 2021-04-30
Title: Ecotoxicological Information from the Standartox Database
Authors@R: c( person("Andreas", "Scharmüller", role = c("aut", "cre"), email = "andschar@protonmail.com", comment = c(ORCID = "0000-0002-9290-3965")) )
Maintainer: Andreas Scharmüller <andschar@protonmail.com>
Description: The <http://standartox.uni-landau.de> database offers cleaned, harmonized and aggregated ecotoxicological test data, which can be used for assessing effects and risks of chemical concentrations found in the environment.
Depends: R (>= 3.5.0)
Imports: stats, httr (>= 1.4.1), curl (>= 3.4), jsonlite (>= 1.6.1), fst (>= 0.9.4), data.table (>= 1.13.0)
License: MIT + file LICENSE
URL: https://github.com/andschar/standartox
BugReports: https://github.com/andschar/standartox/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-04 09:27:25 UTC; scharmueller
Author: Andreas Scharmüller [aut, cre] (<https://orcid.org/0000-0002-9290-3965>)
Repository: CRAN
Date/Publication: 2021-05-05 06:20:06 UTC

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New package PNSIBGE with initial version 0.1.3
Package: PNSIBGE
Title: Downloading, Reading and Analysing PNS Microdata
Version: 0.1.3
Authors@R: c(person("Gabriel", "Assuncao", email = "pacotesipd@ibge.gov.br", role = c("aut", "cre")), person("Luna", "Hidalgo", email = "pacotesipd@ibge.gov.br", role = c("aut")), person("Douglas", "Braga", email = "pacotesipd@ibge.gov.br", role = c("ctb")))
Description: Provides tools for downloading, reading and analysing the PNS, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Depends: R (>= 3.2.0)
Imports: survey, readr, dplyr, magrittr, projmgr, httr, RCurl, utils, timeDate, readxl, tibble
Suggests: tidyverse, convey
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>
Packaged: 2021-05-01 01:29:14 UTC; gabriel.assuncao
Repository: CRAN
Date/Publication: 2021-05-05 06:40:03 UTC

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New package NHSDataDictionaRy with initial version 1.2.3
Package: NHSDataDictionaRy
Title: NHS Data Dictionary Toolset for NHS Lookups
Version: 1.2.3
Authors@R: c( person("Gary", "Hutson", , "g.hutson@nhs.net", c("aut", "cre")), person("Calum", "Polwart", , "calum.polwart@nhs.net", "aut") )
Maintainer: Gary Hutson <g.hutson@nhs.net>
Description: Providing a common set of simplified web scraping tools for working with the NHS Data Dictionary <https://datadictionary.nhs.uk/data_elements_overview.html>. The intended usage is to access the data elements section of the NHS Data Dictionary to access key lookups. The benefits of having it in this package are that the lookups are the live lookups on the website and will not need to be maintained. This package was commissioned by the NHS-R community to provide this consistency of lookups. The OpenSafely lookups have now been added <https://codelists.opensafely.org/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Imports: xml2, dplyr, magrittr, rvest, stringr, purrr, tibble, httr
Collate: 'left_xl.R' 'len_xl.R' 'linkScrapeR.R' 'mid_xl.R' 'nhs_data_elements.R' 'right_xl.R' 'scrapeR.R' 'tableR.R' 'openSafely_listR.R' 'xpathTextR.R'
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-05-04 15:10:57 UTC; garyh
Author: Gary Hutson [aut, cre], Calum Polwart [aut]
Repository: CRAN
Date/Publication: 2021-05-05 06:50:02 UTC

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New package aquodom with initial version 0.1.0
Package: aquodom
Title: Access to Aquo domaintables from R (Dutch)
Version: 0.1.0
Authors@R: person(given = "Johan", family = "van Tent", role = c("aut", "cre"), email = "tentvanjohan@hotmail.com")
Description: The Aquo Standard is the Dutch Standard for the exchange of data in water management. With *aquodom* (short for aquo domaintables) it is easy to exploit the API (<https://www.aquo.nl>) to download domaintables of the Aquo Standard and use them in R.
Language: NL
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), readxl
Imports: tibble, httr, memoise, cachem, magrittr, dplyr (>= 1.0.0), stringr, lubridate, readr, glue, rlang, openxlsx
URL: https://redtent.github.io/aquodom/
BugReports: https://github.com/RedTent/aquodom/issues
NeedsCompilation: no
Packaged: 2021-05-04 11:34:40 UTC; Johan en Lianne
Author: Johan van Tent [aut, cre]
Maintainer: Johan van Tent <tentvanjohan@hotmail.com>
Repository: CRAN
Date/Publication: 2021-05-05 06:30:06 UTC

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New package sharpshootR with initial version 1.8.1
Package: sharpshootR
Title: A Soil Survey Toolkit
Description: Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.
Version: 1.8.1
Date: 2021-05-03
Authors@R: c( person(given="Dylan", family="Beaudette", role = c("cre", "aut"), email = "dylan.beaudette@usda.gov"), person(given="Jay", family="Skovlin", role = c("aut")), person(given="Stephen", family="Roecker", role = c("aut")), person(given="USDA-NRCS Soil Survey Staff", family="", role = c("ctb")) )
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>
LazyLoad: yes
LazyData: true
License: GPL (>= 3)
Repository: CRAN
URL: https://github.com/ncss-tech/aqp
BugReports: https://github.com/ncss-tech/aqp/issues
Suggests: MASS, rgdal, spdep, circlize, rvest, xml2, rgeos, raster, httr, jsonlite, dendextend, testthat, hydromad, latticeExtra, farver, venn, gower, daymetr, elevatr, Evapotranspiration, zoo
Depends: R (>= 3.5.0)
Imports: grDevices, graphics, methods, stats, utils, aqp, ape, soilDB, igraph, cluster, lattice, vegan, sp, reshape2, Hmisc, scales, circular, RColorBrewer, plyr, digest, e1071, stringi, parallel, curl, grid
Additional_repositories: http://hydromad.catchment.org
NeedsCompilation: no
Packaged: 2021-05-03 20:45:38 UTC; Dylan.Beaudette
Author: Dylan Beaudette [cre, aut], Jay Skovlin [aut], Stephen Roecker [aut], USDA-NRCS Soil Survey Staff [ctb]
Date/Publication: 2021-05-04 08:20:02 UTC

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New package Rage with initial version 1.0.0
Package: Rage
Title: Life History Metrics from Matrix Population Models
Version: 1.0.0
Authors@R: c( person(given = "Patrick", family = "Barks", email = "barks@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0002-5947-8151")), person(given = "Danny", family = "Buss", email = "dlb50@cam.ac.uk", role = "ctb"), person(given = "Pol", family = "Capdevila", email = "pcapdevila.pc@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-2842-4302")), person(given = "Hal", family = "Caswell", email = "h.caswell@uva.nl", role = "aut", comment = c(ORCID = "0000-0003-4394-6894")), person(given = c("Judy", "P."), family = "Che-Castaldo", email = "jchecastaldo@lpzoo.org", role = "aut", comment = c(ORCID = "0000-0002-9118-9202")), person(given = "John", family = "Jackson", email = "jjackson0308@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-4563-2840")), person(given = "Tamora", family = "James", email = "tamoradjames@protonmail.com", role = "aut", comment = c(ORCID = "0000-0003-1363-4742")), person(given = "Owen", family = "Jones", email = "jones@biology.sdu.dk", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5720-4686")), person(given = "Sam", family = "Levin", role = "aut", email = "levisc8@gmail.com", comment = c(ORCID = "0000-0002-3289-9925")), person(given = "William K.", family = "Petry", email = "wpetry@ncsu.edu", role = "aut", comment = c(ORCID = "0000-0002-5230-5987")), person(given = "Roberto", family = "Salguero-Gomez", email = "rob.salguero@zoo.ox.ac.uk", role = "aut", comment = c(ORCID = "0000-0002-6085-4433")), person(given = "Caroline", family = "Schuette", email = "cschuette17@gmail.com", role = "ctb", comment = c(ORCID = "0000-0002-2063-8736")), person(given = "Iain", family = "Stott", email = "stott@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0003-2724-7436")), person(given = c("Chelsea", "C."), family = "Thomas", email = "esochels@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-8155-9353")))
Description: Functions for calculating life history metrics using matrix population models ('MPMs'). Described in Jones et al. (2021) <doi:10.1101/2021.04.26.441330>.
URL: https://github.com/jonesor/Rage
BugReports: https://github.com/jonesor/Rage/issues
License: GPL-3
Imports: popbio, popdemo, MASS, DiagrammeR, Rcompadre
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.5.0)
Suggests: spelling, ggplot2, ggtern, knitr, rmarkdown, fields, scales, vcd, testthat, covr
VignetteBuilder: knitr
Language: en-GB
Config/testthat/parallel: true
NeedsCompilation: no
Packaged: 2021-05-03 20:21:42 UTC; jones
Author: Patrick Barks [aut] (<https://orcid.org/0000-0002-5947-8151>), Danny Buss [ctb], Pol Capdevila [aut] (<https://orcid.org/0000-0002-2842-4302>), Hal Caswell [aut] (<https://orcid.org/0000-0003-4394-6894>), Judy P. Che-Castaldo [aut] (<https://orcid.org/0000-0002-9118-9202>), John Jackson [aut] (<https://orcid.org/0000-0002-4563-2840>), Tamora James [aut] (<https://orcid.org/0000-0003-1363-4742>), Owen Jones [aut, cre] (<https://orcid.org/0000-0001-5720-4686>), Sam Levin [aut] (<https://orcid.org/0000-0002-3289-9925>), William K. Petry [aut] (<https://orcid.org/0000-0002-5230-5987>), Roberto Salguero-Gomez [aut] (<https://orcid.org/0000-0002-6085-4433>), Caroline Schuette [ctb] (<https://orcid.org/0000-0002-2063-8736>), Iain Stott [aut] (<https://orcid.org/0000-0003-2724-7436>), Chelsea C. Thomas [aut] (<https://orcid.org/0000-0002-8155-9353>)
Maintainer: Owen Jones <jones@biology.sdu.dk>
Repository: CRAN
Date/Publication: 2021-05-04 08:10:03 UTC

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New package DTwrappers with initial version 0.0.1
Package: DTwrappers
Title: Simplified Data Analysis with Wrapper Functions for the 'Data.Table' Package
Version: 0.0.1
Authors@R: c( person("David", "Shilane", , "david.shilane@columbia.edu", c("aut")), person("Mayur", "Bansal", , "mb4511@columbia.edu", c("ctb","cre")) )
Depends: R (>= 3.1.0)
Description: Provides functionality for users who are learning R or the techniques of data analysis. Written as a collection of wrapper functions, the 'DTwrapper' package facilitates many core operations of data processing. This is achieved with relatively few requirements about the order of the processing steps or knowledge of specialized syntax. 'DTwrappers' creates coding results along with translations to data.table's code. This enables users to benefit from the speed and efficiency of data.table's calculations. Furthermore, the package also provides the translated code for educational purposes so that users can review working examples of coding syntax and calculations.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, covr, testthat (>= 2.1.0)
VignetteBuilder: knitr
Imports: data.table
NeedsCompilation: no
Packaged: 2021-05-04 03:32:59 UTC; mayurbansal
Author: David Shilane [aut], Mayur Bansal [ctb, cre]
Maintainer: Mayur Bansal <mb4511@columbia.edu>
Repository: CRAN
Date/Publication: 2021-05-04 08:40:05 UTC

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New package bayesZIB with initial version 0.0.1
Package: bayesZIB
Title: Bayesian Zero-Inflated Bernoulli Regression Model
Version: 0.0.1
Encoding: UTF-8
Authors@R: c(person(given = "David", family = "Moriña Soler", role = c("aut", "cre"), email = "dmorina@ub.edu", comment = c(ORCID = "0000-0001-5949-7443")), person(given = "Pedro", family = "Puig", role = c("aut"), email = "ppuig@mat.uab.cat"), person(given = "Albert", family = "Navarro", role = c("aut"), email = "albert.navarro@uab.cat"))
Maintainer: David Moriña Soler <dmorina@ub.edu>
Description: Fits a Bayesian zero-inflated Bernoulli regression model handling (potentially) different covariates for the zero-inflated and non zero-inflated parts. See Moriña D, Puig P, Navarro A. (2020) <arXiv:2105.00700>.
License: GPL (>= 2)
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), ggplot2
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
NeedsCompilation: yes
SystemRequirements: GNU make
Packaged: 2021-05-04 05:03:45 UTC; dmorina
Author: David Moriña Soler [aut, cre] (<https://orcid.org/0000-0001-5949-7443>), Pedro Puig [aut], Albert Navarro [aut]
Repository: CRAN
Date/Publication: 2021-05-04 08:40:02 UTC

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New package stockfish with initial version 0.1.2
Package: stockfish
Title: Analyze Chess Games with the 'Stockfish' Engine
Version: 0.1.2
Authors@R: c(person(given = "Caio", family = "Lente", role = c("aut", "cre"), email = "clente@curso-r.com"), person(given = "Tord", family = "Romstad", role = "ctb"), person(given = "Marco", family = "Costalba", role = "ctb"), person(given = "Joona", family = "Kiiski", role = "ctb"), person(given = "Gary", family = "Linscott", role = "ctb"))
Description: An implementation of the UCI open communication protocol that ships with 'Stockfish 11' <https://stockfishchess.org/>, a very popular, open source, powerful chess engine written in C++.
License: GPL (>= 3)
URL: https://github.com/curso-r/stockfish
BugReports: https://github.com/curso-r/stockfish/issues
Imports: processx, R6
Suggests: covr, testthat (>= 3.0.0)
Encoding: UTF-8
SystemRequirements: C++11, and GCC or clang
NeedsCompilation: yes
Packaged: 2021-05-03 21:28:47 UTC; clente
Author: Caio Lente [aut, cre], Tord Romstad [ctb], Marco Costalba [ctb], Joona Kiiski [ctb], Gary Linscott [ctb]
Maintainer: Caio Lente <clente@curso-r.com>
Repository: CRAN
Date/Publication: 2021-05-04 07:30:02 UTC

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New package Recocrop with initial version 0.3-2
Package: Recocrop
Title: Ecocrop: Estimating Environmental Suitability for Plants
Description: The ecocrop model estimates environmental suitability for plants using a limiting factor approach for plant growth following Hackett (1991) <doi:10.1007/BF00045728>. The implementation in this package is fast and flexible: it allows for the use of any (environmental) predictor variable. Predictors can be either static (for example, soil pH) or dynamic (for example, monthly precipitation).
Version: 0.3-2
Date: 2021-05-03
LinkingTo: Rcpp
SystemRequirements: C++11
Imports: meteor, terra (>= 1.1-4), methods (>= 0.2-2), Rcpp (>= 0.12.4)
Depends: R (>= 3.5.0)
Authors@R: c(person("Robert J.", "Hijmans", role = c("cre", "aut"), email = "r.hijmans@gmail.com"), person("Rhys", "Manners", role = "ctb"))
License: GPL (>= 3)
BugReports: https://github.com/cropmodels/Recocrop/issues
URL: https://github.com/cropmodels/Recocrop/
NeedsCompilation: yes
Packaged: 2021-05-04 01:35:15 UTC; rhijm
Author: Robert J. Hijmans [cre, aut], Rhys Manners [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-04 07:30:05 UTC

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New package AtmChile with initial version 0.1.0
Package: AtmChile
Title: Download Air Quality and Meteorological Information of Chile
Version: 0.1.0
Authors@R: c(person("Francisco", "Catalan Meyer", email = "francisco.catalan@ug.uchile.cl", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3506-5376")), person("Manuel", "Leiva", email = "MANLEIVA@uchile.cl", role = c("aut"), comment = c(ORCID = "0000-0001-8891-0399")), person("Richard", "Toro", email = "rtoro81@uchile.cl", role = c("aut")) )
Maintainer: Francisco Catalan Meyer <francisco.catalan@ug.uchile.cl>
Description: Download air quality and meteorological information of Chile from the National Air Quality System (S.I.N.C.A.)<https://sinca.mma.gob.cl/> dependent on the Ministry of the Environment and the Meteorological Directorate of Chile (D.M.C.)<http://www.meteochile.gob.cl/> dependent on the Directorate General of Civil Aeronautics.
License: GPL-3
URL: https://github.com/franciscoxaxo/AtmChile
Encoding: UTF-8
LazyData: false
Imports: data.table
NeedsCompilation: no
Packaged: 2021-05-04 01:50:06 UTC; PC
Author: Francisco Catalan Meyer [aut, cre] (<https://orcid.org/0000-0003-3506-5376>), Manuel Leiva [aut] (<https://orcid.org/0000-0001-8891-0399>), Richard Toro [aut]
Repository: CRAN
Date/Publication: 2021-05-04 07:40:02 UTC

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New package TriDimRegression with initial version 1.0.0.0
Package: TriDimRegression
Title: Bayesian Statistics for 2D/3D Transformations
Version: 1.0.0.0
Authors@R: c( person("Alexander (Sasha)", "Pastukhov", role = c("cre", "ctb"), email ="pastukhov.alexander@gmail.com"), person("Claus-Christian", "Carbon", role = c("aut"), email ="ccc@experimental-psychology.com"))
Description: Fits 2D and 3D geometric transformations via 'Stan' probabilistic programming engine ( Stan Development Team (2021) <https://mc-stan.org>). Returns posterior distribution for individual parameters of the fitted distribution. Allows for computation of LOO and WAIC information criteria (Vehtari A, Gelman A, Gabry J (2017) <doi:10.1007/s11222-016-9696-4>) as well as Bayesian R-squared (Gelman A, Goodrich B, Gabry J, and Vehtari A (2018) <doi:10.1080/00031305.2018.1549100>).
License: GPL-3
URL: https://github.com/alexander-pastukhov/tridim-regression
BugReports: https://github.com/alexander-pastukhov/tridim-regression/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Biarch: true
Depends: R (>= 3.5.0), loo
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.1.1), dplyr, future, glue, purrr, tidyr, Formula, bayesplot
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: testthat, knitr, rmarkdown, ggplot2
NeedsCompilation: yes
Packaged: 2021-05-03 16:30:38 UTC; sasha
Author: Alexander (Sasha) Pastukhov [cre, ctb], Claus-Christian Carbon [aut]
Maintainer: Alexander (Sasha) Pastukhov <pastukhov.alexander@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-04 07:00:16 UTC

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New package timsr with initial version 0.0.2
Package: timsr
Title: Easily Access timsTOF Data
Version: 0.0.2
Authors@R: c(person(given = "Mateusz Krzysztof", family = "Łącki", role = c("aut","cre","cph"), email = "matteo.lacki@gmail.com", comment = c(ORCID = "0000-0001-7415-4748")), person(given = "Michał Piotr", family = "Startek", role = c("aut","cph"), email="michal.startek@mimuw.edu.pl", comment=c(ORCID="0000-0001-5227-3447")) )
Maintainer: Mateusz Krzysztof Łącki <matteo.lacki@gmail.com>
Description: Access 'timsTOF' mass spectrometry data, as described <https://sso.bruker.com/auth/realms/bruker/protocol/openid-connect/auth?client_id=aem-bruker.com&redirect_uri=https%3A%2F%2Fwww.bruker.com%2Fen.login.html%3FtargetUrl%3Dhttps%3A%2F%2Fwww.bruker.com%2Fen%2Fservices%2Fsoftware-downloads%2Fmass-spectrometry.html&response_type=id_token%20token&scope=openid%20profile&state=4f9d225e92f341cca3b03a55533dbd65&nonce=f550633b1e984ecfb07979ae6d9277b4&ui_locales=en> (after registering), using the 'OpenTIMS' C++ reader and save all into 'data.tables'.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.0)
Imports: opentimsr, data.table, methods
NeedsCompilation: no
Packaged: 2021-05-03 09:22:02 UTC; matteo
Author: Mateusz Krzysztof Łącki [aut, cre, cph] (<https://orcid.org/0000-0001-7415-4748>), Michał Piotr Startek [aut, cph] (<https://orcid.org/0000-0001-5227-3447>)
Repository: CRAN
Date/Publication: 2021-05-04 06:30:02 UTC

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New package sendgridr with initial version 0.2.4
Package: sendgridr
Title: Mail Sender Using 'Sendgrid' Service
Version: 0.2.4
Authors@R: person(given = "Chanyub", family = "Park", role = c("aut","cre"), email = "mrchypark@gmail.com", comment = c(ORCID = "0000-0001-6474-2570"))
Description: Send email using 'Sendgrid' <https://sendgrid.com/> mail API(v3) <https://sendgrid.com/docs/api-reference/>.
License: MIT + file LICENSE
URL: https://github.com/mrchypark/sendgridr
BugReports: https://github.com/mrchypark/sendgridr/issues
Imports: magrittr, httr, jsonlite, usethis, tidyr, tibble, glue, clipr, crayon, desc, rlang, clisymbols, base64enc, dplyr, fs, stringr
Encoding: UTF-8
Depends: R (>= 3.1)
Suggests: covr, testthat
NeedsCompilation: no
Packaged: 2021-05-03 11:54:42 UTC; sktelecom
Author: Chanyub Park [aut, cre] (<https://orcid.org/0000-0001-6474-2570>)
Maintainer: Chanyub Park <mrchypark@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-04 06:30:05 UTC

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New package seedreg with initial version 1.0.0
Package: seedreg
Title: Regression Analysis for Seed Germination as a Function of Temperature
Version: 1.0.0
Date: 2021-04-29
Authors@R: c(person("Gabriel Danilo","Shimizu", role = c("aut", "cre"), email = "shimizu@uel.br", comment = c(ORCID = "0000-0001-8524-508X")), person("Hugo Roldi", "Guariz", role = c("aut","ctb"), comment = c(ORCID = "0000-0003-4343-379X")), person("Leandro Simoes Azeredo", "Goncalves", role = c("aut","ctb")))
Maintainer: Gabriel Danilo Shimizu <shimizu@uel.br>
Description: Regression analysis using common models in seed temperature studies, such as the Gaussian model (Martins, JF, Barroso, AAM, & Alves, PLCA (2017) <doi:10.1590/s0100-83582017350100039>), quadratic (Nunes, AL, Sossmeier, S, Gotz, AP, & Bispo, NB (2018) <doi:10.17265/2161-6264/2018.06.002>) and others with potential for use, such as those implemented in the 'drc' package (Ritz, C, Baty, F, Streibig, JC, & Gerhard, D (2015). <doi:10.1371/journal.pone.0146021>), in the estimation of the ideal and cardinal temperature for the occurrence of plant seed germination. The functions return graphs with the equations automatically.
License: GPL (>= 2)
Imports: drc, ggplot2, car, crayon, emmeans, multcomp, hnp, boot, multcompView
Depends: R (>= 4.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-03 12:41:14 UTC; Gabriel
Author: Gabriel Danilo Shimizu [aut, cre] (<https://orcid.org/0000-0001-8524-508X>), Hugo Roldi Guariz [aut, ctb] (<https://orcid.org/0000-0003-4343-379X>), Leandro Simoes Azeredo Goncalves [aut, ctb]
Repository: CRAN
Date/Publication: 2021-05-04 06:50:02 UTC

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New package platowork with initial version 0.0.1
Package: platowork
Title: Data from a Test of the PlatoWork tDCS Headset
Version: 0.0.1
Authors@R: person(given = "Lasse", family = "Hjorth Madsen", role = c("aut", "cre"), email = "lassehjorthmadsen@gmail.com")
Description: Data and analysis from an experiment with improving touch typing speed, using the tDCS PlatoWork headset produced by PlatoScience.
URL: https://github.com/lassehjorthmadsen/platowork
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: dplyr, ggplot2, knitr, purrr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-03 14:02:35 UTC; Lasse
Author: Lasse Hjorth Madsen [aut, cre]
Maintainer: Lasse Hjorth Madsen <lassehjorthmadsen@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-04 06:50:05 UTC

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New package paramlink2 with initial version 1.0.2
Package: paramlink2
Title: Parametric Linkage Analysis
Version: 1.0.2
Authors@R: person("Magnus Dehli", "Vigeland", email = "m.d.vigeland@medisin.uio.no", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9134-4962"))
Description: Parametric linkage analysis of monogenic traits in medical pedigrees. Features include singlepoint analysis, multipoint analysis via 'MERLIN' (Abecasis et al. (2002) <doi:10.1038/ng786>), visualisation of log of the odds (LOD) scores and summaries of linkage peaks. Disease models may be specified to accommodate phenocopies, reduced penetrance and liability classes. 'paramlink2' is part of the 'ped suite' package ecosystem, presented in 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
License: GPL-3
URL: https://github.com/magnusdv/paramlink2
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 3.5), pedtools
Imports: pedprobr
Suggests: spelling, testthat
BugReports: https://github.com/magnusdv/paramlink2/issues
NeedsCompilation: no
Packaged: 2021-05-03 09:20:42 UTC; magnusdv
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
Repository: CRAN
Date/Publication: 2021-05-04 06:30:09 UTC

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New package DockerParallel with initial version 1.0.0
Package: DockerParallel
Title: Using the Docker Container to Create R Workers on Local or Cloud Platform
Version: 1.0.0
Authors@R: person(given = "Jiefei", family = "Wang", role = c("aut", "cre"), email = "szwjf08@gmail.com")
Description: This is the core package that provides both the user API and developer API to deploy the parallel cluster on the cloud using the container service. The user can call clusterPreset() to define the cloud service provider and container and makeDockerCluster() to create the cluster. The developer should see "developer's cookbook" on how to define the cloud provider and container.
Imports: adagio, methods, utils
License: GPL-3
Encoding: UTF-8
Suggests: markdown, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-03 09:59:08 UTC; Zhou Jin
Author: Jiefei Wang [aut, cre]
Maintainer: Jiefei Wang <szwjf08@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-04 06:30:12 UTC

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New package covidcast with initial version 0.4.2
Package: covidcast
Title: Client for Delphi's 'COVIDcast Epidata' API
Version: 0.4.2
Date: 2021-04-30
Authors@R: c( person(given = "Taylor", family = "Arnold", role = "aut"), person(given = "Jacob", family = "Bien", role = "aut"), person(given = "Logan", family = "Brooks", role = "aut"), person(given = "Sarah", family = "Colquhoun", role = "aut"), person(given = "David", family = "Farrow", role = "aut"), person(given = "Jed", family = "Grabman", role = "ctb"), person(given = "Pedrito", family = "Maynard-Zhang", role = "ctb"), person(given = "Alex", family = "Reinhart", role = c("aut", "cre"), email = "areinhar@stat.cmu.edu", comment = c(ORCID = "0000-0002-6658-514X")), person(given = "Ryan", family = "Tibshirani", role = "aut"))
URL: https://cmu-delphi.github.io/covidcast/covidcastR/, https://github.com/cmu-delphi/covidcast
BugReports: https://github.com/cmu-delphi/covidcast/issues
Description: Tools for Delphi's 'COVIDcast Epidata' API: data access, maps and time series plotting, and basic signal processing. The API includes a collection of numerous indicators relevant to the COVID-19 pandemic in the United States, including official reports, de-identified aggregated medical claims data, large-scale surveys of symptoms and public behavior, and mobility data, typically updated daily and at the county level. All data sources are documented at <https://cmu-delphi.github.io/delphi-epidata/api/covidcast.html>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, grDevices, httr, MMWRweek, purrr, rlang, sf, tidyr
Suggests: gridExtra, httptest, knitr, mockery, rmarkdown, testthat, tibble, vdiffr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-03 14:39:28 UTC; alexreinhart
Author: Taylor Arnold [aut], Jacob Bien [aut], Logan Brooks [aut], Sarah Colquhoun [aut], David Farrow [aut], Jed Grabman [ctb], Pedrito Maynard-Zhang [ctb], Alex Reinhart [aut, cre] (<https://orcid.org/0000-0002-6658-514X>), Ryan Tibshirani [aut]
Maintainer: Alex Reinhart <areinhar@stat.cmu.edu>
Repository: CRAN
Date/Publication: 2021-05-04 07:00:12 UTC

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New package BI with initial version 1.0.0
Package: BI
Version: 1.0.0
Date: 2021-05-03
Title: Blinding Assessment Indexes for Randomized, Controlled, Clinical Trials
Description: Generate the James Blinding Index, as described in James et al (1996) <https://pubmed.ncbi.nlm.nih.gov/8841652/> and the Bang Blinding Index, as described in Bang et al (2004) <https://pubmed.ncbi.nlm.nih.gov/15020033/>. These are measures to assess whether or not satisfactory blinding has been maintained in a randomized, controlled, clinical trial. These can be generated for trial subjects, research coordinators and principal investigators, based upon standardized questionnaires that have been administered, to assess whether or not they can correctly guess to which treatment arm (e.g. placebo or treatment) subjects were assigned at randomization.
Authors@R: c(person("Marc", "Schwartz", role = c("aut", "cre"), email = "marc_schwartz@me.com"), person("Nate", "Mercaldo", role = "aut", email = "nmercaldo@mgh.harvard.edu"))
License: GPL-3
URL: https://github.com/marcschwartz/BI
BugReports: https://github.com/marcschwartz/BI/issues
NeedsCompilation: no
Packaged: 2021-05-03 14:37:37 UTC; marcschwartz
Author: Marc Schwartz [aut, cre], Nate Mercaldo [aut]
Maintainer: Marc Schwartz <marc_schwartz@me.com>
Repository: CRAN
Date/Publication: 2021-05-04 06:50:08 UTC

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New package BayesDesign with initial version 0.1.1
Package: BayesDesign
Title: Bayesian Single-Arm Design with Survival Endpoints
Version: 0.1.1
Authors@R: c(person("Chia-Wei", "Hsu", role = c("aut", "cre"), email = "Chia-Wei.Hsu@stjude.org"), person("Haitao", "Pan", role = "aut"), person("Jianrong", "Wu", role = "aut"))
Description: The proposed event-driven approach for Bayesian two-stage single-arm phase II trial design is a novel clinical trial design and can be regarded as an extension of the Simon’s two-stage design with the time-to-event endpoint. This design is motivated by cancer clinical trials with immunotherapy and molecularly targeted therapy, in which time-to-event endpoint is often a desired endpoint.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-03 03:22:23 UTC; chsu1
Author: Chia-Wei Hsu [aut, cre], Haitao Pan [aut], Jianrong Wu [aut]
Maintainer: Chia-Wei Hsu <Chia-Wei.Hsu@stjude.org>
Repository: CRAN
Date/Publication: 2021-05-04 06:30:16 UTC

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New package vetr with initial version 0.2.13
Package: vetr
Title: Trust, but Verify
Description: Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Version: 0.2.13
Authors@R: c( person("Brodie", "Gaslam", email="brodie.gaslam@yahoo.com", role=c("aut", "cre")), person(family="Paxdiablo", role="cph", comment="Hash table implementation in src/pfhash.h"), person(family="R Core Team", email="R-core@r-project.org", role="cph", comment="Used/adapted several code snippets from R sources, see src/misc-alike.c and src/valname.c" ))
Depends: R (>= 3.2.0)
License: GPL (>= 2)
URL: https://github.com/brodieG/vetr
BugReports: https://github.com/brodieG/vetr/issues
VignetteBuilder: knitr
Imports: methods, stats, utils
Suggests: knitr, rmarkdown, unitizer
NeedsCompilation: yes
Packaged: 2021-05-03 11:29:52 UTC; bg
Author: Brodie Gaslam [aut, cre], Paxdiablo [cph] (Hash table implementation in src/pfhash.h), R Core Team [cph] (Used/adapted several code snippets from R sources, see src/misc-alike.c and src/valname.c)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>
Repository: CRAN
Date/Publication: 2021-05-03 14:20:03 UTC

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New package tidygate with initial version 0.4.7
Package: tidygate
Title: Add Gate Information to Your Tibble
Version: 0.4.7
Authors@R: c(person(given = "Stefano", family = "Mangiola", role = c("aut", "cre"), email = "mangiolastefano@gmail.com"), person(given = "Wajid", family = "Jawaid", role = "ctb"))
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>
Description: It interactively or programmatically label points within custom gates on two dimensions <https://github.com/stemangiola/tidygate>. The information is added to your tibble. It is based on the package 'gatepoints' from Wajid Jawaid (who is also author of this package). The code of 'gatepoints' was nto integrated in 'tidygate'. The benefits are (i) in interactive mode you can draw your gates on extensive 'ggplot'-like scatter plots; (ii) you can draw multiple gates; and (iii) you can save your gates and apply the programmatically.
License: GPL-3
Depends: R (>= 3.6.0)
Encoding: UTF-8
LazyData: true
Imports: utils, graphics, lifecycle, scales, magrittr, tibble, dplyr, purrr, rlang, tidyr, viridis, grDevices, RColorBrewer, stringr
RdMacros: lifecycle
Suggests: testthat, markdown, knitr
VignetteBuilder: knitr
Biarch: true
biocViews: AssayDomain, Infrastructure
URL: https://github.com/stemangiola/tidygate
BugReports: https://github.com/stemangiola/tidygate/issues
NeedsCompilation: no
Packaged: 2021-05-03 01:37:11 UTC; mangiola.s
Author: Stefano Mangiola [aut, cre], Wajid Jawaid [ctb]
Repository: CRAN
Date/Publication: 2021-05-03 09:10:02 UTC

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New package gsignal with initial version 0.3-1
Package: gsignal
Title: Signal Processing
Version: 0.3-1
Date: 2021-05-02
Authors@R: c(person("Geert", "van Boxtel", role = c("aut", "cre"), email = "G.J.M.vanBoxtel@gmail.com", comment = "Maintainer"), person("Tom", "Short", role = "aut", email = "tshort@eprisolutions.com", comment="Author of 'signal' package"), person("Paul", "Kienzle", role = "aut", comment = "Majority of the original sources"), person("Ben", "Abbott", role = "ctb"), person("Juan", "Aguado", role = "ctb"), person("Muthiah", "Annamalai", role = "ctb"), person("Leonardo", "Araujo", role = "ctb"), person("William", "Asquith", role = "ctb"), person("David", "Bateman", role = "ctb"), person("David", "Billinghurst", role = "ctb"), person("Juan Pablo", "Carbajal", role = "ctb"), person("André", "Carezia", role = "ctb"), person("Vincent", "Cautaerts", role = "ctb"), person("Eric", "Chassande-Mottin", role = "ctb"), person("Luca", "Citi", role = "ctb"), person("Dave", "Cogdell", role = "ctb"), person("Carlo", "de Falco", role = "ctb"), person("Carne", "Draug", role = "ctb"), person("Pascal", "Dupuis", role = "ctb"), person("John W.", "Eaton", role = "ctb"), person("R.G.H", "Eschauzier", role = "ctb"), person("Andrew", "Fitting", role = "ctb"), person("Alan J.", "Greenberger", role = "ctb"), person("Mike", "Gross", role = "ctb"), person("Daniel", "Gunyan", role = "ctb"), person("Kai", "Habel", role = "ctb"), person("Kurt", "Hornik", role = "ctb"), person("Jake", "Janovetz", role = "ctb"), person("Alexander", "Klein", role = "ctb"), person("Peter V.", "Lanspeary", role = "ctb"), person("Bill", "Lash", role = "ctb"), person("Friedrich", "Leissh", role = "ctb"), person("Laurent S.", "Mazet", role = "ctb"), person("Mike", "Miller", role = "ctb"), person("Petr", "Mikulik", role = "ctb"), person("Paolo", "Neis", role = "ctb"), person("Georgios", "Ouzounis", role = "ctb"), person("Sylvain", "Pelissier", role = "ctb"), person("Francesco", "Potortì", role = "ctb"), person("Charles", "Praplan", role = "ctb"), person("Lukas F.", "Reichlin", role = "ctb"), person("Tony", "Richardson", role = "ctb"), person("Asbjorn", "Sabo", role = "ctb"), person("Thomas", "Sailer", role = "ctb"), person("Rolf", "Schirmacher", role = "ctb"), person("Rolf", "Schirmacher", role = "ctb"), person("Ivan", "Selesnick", role = "ctb"), person("Julius O.", "Smith III", role = "ctb"), person("Peter L.", "Soendergaard", role = "ctb"), person("Quentin", "Spencer", role = "ctb"), person("Doug", "Stewart", role = "ctb"), person("P.", "Sudeepam", role = "ctb"), person("Stefan", "van der Walt", role = "ctb"), person("Andreas", "Weber", role = "ctb"), person("P.", "Sudeepam", role = "ctb"), person("Andreas", "Weingessel", role = "ctb"))
Description: R implementation of the 'Octave' package 'signal', containing a variety of signal processing tools, such as signal generation and measurement, correlation and convolution, filtering, filter design, filter analysis and conversion, power spectrum analysis, system identification, decimation and sample rate change, and windowing.
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: pracma, Rcpp, grDevices
License: GPL-3
Encoding: UTF-8
Language: en-US
URL: https://github.com/gjmvanboxtel/gsignal
BugReports: https://github.com/gjmvanboxtel/gsignal/issues
LazyData: true
Suggests: knitr, rmarkdown, testthat, ggplot2, gridExtra, microbenchmark, imager
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-05-02 22:12:07 UTC; geert
Author: Geert van Boxtel [aut, cre] (Maintainer), Tom Short [aut] (Author of 'signal' package), Paul Kienzle [aut] (Majority of the original sources), Ben Abbott [ctb], Juan Aguado [ctb], Muthiah Annamalai [ctb], Leonardo Araujo [ctb], William Asquith [ctb], David Bateman [ctb], David Billinghurst [ctb], Juan Pablo Carbajal [ctb], André Carezia [ctb], Vincent Cautaerts [ctb], Eric Chassande-Mottin [ctb], Luca Citi [ctb], Dave Cogdell [ctb], Carlo de Falco [ctb], Carne Draug [ctb], Pascal Dupuis [ctb], John W. Eaton [ctb], R.G.H Eschauzier [ctb], Andrew Fitting [ctb], Alan J. Greenberger [ctb], Mike Gross [ctb], Daniel Gunyan [ctb], Kai Habel [ctb], Kurt Hornik [ctb], Jake Janovetz [ctb], Alexander Klein [ctb], Peter V. Lanspeary [ctb], Bill Lash [ctb], Friedrich Leissh [ctb], Laurent S. Mazet [ctb], Mike Miller [ctb], Petr Mikulik [ctb], Paolo Neis [ctb], Georgios Ouzounis [ctb], Sylvain Pelissier [ctb], Francesco Potortì [ctb], Charles Praplan [ctb], Lukas F. Reichlin [ctb], Tony Richardson [ctb], Asbjorn Sabo [ctb], Thomas Sailer [ctb], Rolf Schirmacher [ctb], Rolf Schirmacher [ctb], Ivan Selesnick [ctb], Julius O. Smith III [ctb], Peter L. Soendergaard [ctb], Quentin Spencer [ctb], Doug Stewart [ctb], P. Sudeepam [ctb], Stefan van der Walt [ctb], Andreas Weber [ctb], P. Sudeepam [ctb], Andreas Weingessel [ctb]
Maintainer: Geert van Boxtel <G.J.M.vanBoxtel@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-03 08:10:02 UTC

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New package TrtCombo.FactorialExp.SR with initial version 4.0.4
Package: TrtCombo.FactorialExp.SR
Title: Generation of Treatment Combination (in Standard Order) in 2^n Factorial Experiment
Version: 4.0.4
Author: Somjit Roy
Maintainer: Somjit Roy <somjit.roy2001@gmail.com>
Description: Gives the required 2^n treatment combinations in a 2^n symmetric factorial experiment in their respective standard order.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-01 08:56:40 UTC; somji
Repository: CRAN
Date/Publication: 2021-05-03 07:20:05 UTC

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New package simpleMH with initial version 0.1.0
Package: simpleMH
Title: Simple Metropolis-Hastings MCMC Algorithm
Version: 0.1.0
Authors@R: person(given = "Hugo", family = "Gruson", role = c("aut", "cre", "cph"), email = "hugo.gruson+R@normalesup.org", comment = c(ORCID = "0000-0002-4094-1476"))
Description: A very bare-bones interface to use the Metropolis-Hastings Monte Carlo Markov Chain algorithm. It is suitable for teaching and testing purposes.
Imports: mvtnorm
Suggests: coda, mockery, testthat (>= 3.0.0), knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-02 14:28:51 UTC; hugo
Author: Hugo Gruson [aut, cre, cph] (<https://orcid.org/0000-0002-4094-1476>)
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>
Repository: CRAN
Date/Publication: 2021-05-03 08:00:02 UTC

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New package SFSI with initial version 0.3.0
Package: SFSI
Title: Sparse Family and Selection Index
Version: 0.3.0
Authors@R: c( person("Marco", "Lopez-Cruz", role = c("aut","cre"), email = "maraloc@gmail.com"), person("Gustavo", "de los Campos", role = c("aut"), email = "gustavoc@msu.edu"), person("Paulino", "Perez-Rodriguez", role = c("ctb"), email = "perpdgo@gmail.com"))
Date: 2021-04-29
Description: Here we provide tools for the estimation of coefficients in penalized regressions when the (co)variance matrix of predictors and the covariance vector between predictors and response, are provided. These methods are extended to the context of a Selection Index (commonly used for breeding value prediction). The approaches offer opportunities such as the integration of high-throughput traits in genetic evaluations ('Lopez-Cruz et al., 2020') <doi:10.1038/s41598-020-65011-2> and solutions for training set optimization in Genomic Prediction ('Lopez-Cruz & de los Campos, 2021') <doi:10.1093/genetics/iyab030>.
LazyLoad: true
Depends: R (>= 3.5)
Imports: stats, grDevices
Suggests: BGLR, float, knitr, rmarkdown, ggplot2, Matrix, parallel, reshape, viridis, RSpectra
LinkingTo: float
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL-3
NeedsCompilation: yes
Packaged: 2021-05-01 01:58:43 UTC; marcolopez
Author: Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [ctb]
Maintainer: Marco Lopez-Cruz <maraloc@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-03 07:50:03 UTC

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New package scINSIGHT with initial version 0.1.0
Package: scINSIGHT
Title: Interpretation of Heterogeneous Single-Cell Gene Expression Data
Version: 0.1.0
Date: 2021-05-01
Authors@R: c(person(given = "Kun", family = "Qian", role = c("aut","ctb","cre"), email = "Kun_Qian@foxmail.com", comment = c(ORCID = "0000-0002-2354-2238")), person(given = "Wei Vivian", family = "Li", role = c("aut","ctb"), email = "vivian.li@rutgers.edu", comment = c(ORCID = "0000-0002-2087-2709")))
Maintainer: Kun Qian <Kun_Qian@foxmail.com>
Description: We develop a novel matrix factorization tool named 'scINSIGHT' to jointly analyze multiple single-cell gene expression samples from biologically heterogeneous sources, such as different disease phases, treatment groups, or developmental stages. Given multiple gene expression samples from different biological conditions, 'scINSIGHT' simultaneously identifies common and condition-specific gene pathways and quantify their expression levels in each sample in a lower-dimensional space. With the factorized results, the inferred expression levels and memberships of common gene pathways can be used to cluster cells and detect cell identities, and the condition-specific gene pathways can help compare functional differences in transcriptomes from distinct conditions.
License: GPL-3
Imports: Rcpp, RANN, igraph, parallel, stats, stringr
LinkingTo: Rcpp, RcppArmadillo
Depends: methods
NeedsCompilation: yes
Packaged: 2021-05-01 05:34:57 UTC; yangyulan
Author: Kun Qian [aut, ctb, cre] (<https://orcid.org/0000-0002-2354-2238>), Wei Vivian Li [aut, ctb] (<https://orcid.org/0000-0002-2087-2709>)
Repository: CRAN
Date/Publication: 2021-05-03 08:00:05 UTC

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New package re2 with initial version 0.1.0
Package: re2
Title: R Interface to Google RE2 (C++) Regular Expression Library
Version: 0.1.0
Date: 2021-04-30
Author: Girish Palya [aut, cre], RE2 developers [ctb] (RE2 library), Google Inc. [ctb, cph] (RE2 library)
Maintainer: Girish Palya <girishji@gmail.com>
Description: Pattern matching, extraction, replacement and other string processing operations using Google's RE2 <https://github.com/google/re2> regular-expression engine. Consistent interface (similar to 'stringr'). RE2 uses finite-automata based techniques, and offers a fast and safe alternative to backtracking regular-expression engines like those used in 'stringr', 'stringi' and other PCRE implementations.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.6)
LinkingTo: Rcpp
URL: https://github.com/girishji/re2
BugReports: https://github.com/girishji/re2/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-05-02 13:47:56 UTC; gp
Repository: CRAN
Date/Publication: 2021-05-03 08:00:08 UTC

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New package onbabynames with initial version 0.0.1
Package: onbabynames
Title: Names Given to Babies in Ontario Between 1917 and 2018
Version: 0.0.1
Language: en-US
Authors@R: person(given = "Marc-Andre", family = "Desautels", role = c("aut", "cre"), email = "marc-andre.desautels@cstjean.qc.ca")
Description: A database containing the names of the babies born in Ontario between 1917 and 2018. Counts of fewer than 5 names were suppressed for privacy.
License: MIT + file LICENSE
URL: <https://github.com/desautm/onbabynames>
BugReports: https://github.com/desautm/onbabynames/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: tibble
Suggests: dplyr, ggplot2
NeedsCompilation: no
Packaged: 2021-04-30 13:30:42 UTC; mdesautels
Author: Marc-Andre Desautels [aut, cre]
Maintainer: Marc-Andre Desautels <marc-andre.desautels@cstjean.qc.ca>
Repository: CRAN
Date/Publication: 2021-05-03 07:10:02 UTC

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New package latexdiffr with initial version 0.1.0
Package: latexdiffr
Title: Diff 'rmarkdown' Files Using the 'latexdiff' Utility
Version: 0.1.0
Author: David Hugh-Jones <davidhughjones@gmail.com>
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>
Description: Produces a PDF diff of two 'rmarkdown', Sweave or TeX files, using the external 'latexdiff' utility.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: fs, rprojroot
Suggests: tinytex, rmarkdown, knitr, testthat, covr
SystemRequirements: latexdiff
NeedsCompilation: no
Packaged: 2021-04-30 13:39:01 UTC; david
Repository: CRAN
Date/Publication: 2021-05-03 07:10:05 UTC

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New package JCRImpactFactor with initial version 1.0.0
Package: JCRImpactFactor
Title: Journal Citation Reports ('JCR') Impact Factor by 'Clarivate' 'Analytics'
Version: 1.0.0
Author: Shahla Faisal
Maintainer: Shahla Faisal <shahla_ramzan@yahoo.com>
Description: The Impact Factor of a journal reported by Journal Citation Reports ('JCR') of 'Clarivate' 'Analytics' is provided. The impact factor is available for those journals only that were included Journal Citation Reports 'JCR'.
License: GPL-3
Encoding: UTF-8
Imports: stringr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2021-05-02 11:36:20 UTC; ShahlaFaisal
Repository: CRAN
Date/Publication: 2021-05-03 07:50:09 UTC

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New package ecpc with initial version 2.0
Package: ecpc
Title: Flexible Co-Data Learning for High-Dimensional Prediction
Version: 2.0
Date: 2021-04-19
Authors@R: c(person(c("Mirrelijn","M."), "van Nee", role = c("aut", "cre"), email = "m.vannee@amsterdamumc.nl"), person(c("Lodewyk","F.A."), "Wessels", role = "aut"), person(c("Mark","A."), "van de Wiel", role = "aut"))
Author: Mirrelijn M. van Nee [aut, cre], Lodewyk F.A. Wessels [aut], Mark A. van de Wiel [aut]
Maintainer: Mirrelijn M. van Nee <m.vannee@amsterdamumc.nl>
Depends: R (>= 3.5.0)
Imports: glmnet, stats, Matrix, gglasso, mvtnorm, CVXR, multiridge (>= 1.5), survival, pROC
Suggests: Rsolnp, expm, mgcv, foreach, doParallel, parallel, ggplot2, ggraph, igraph, scales, dplyr, magrittr
Description: Fit linear, logistic and Cox survival regression models penalised with adaptive multi-group ridge penalties. The multi-group penalties correspond to groups of covariates defined by (multiple) co-data sources. Group hyperparameters are estimated with an empirical Bayes method of moments, penalised with an extra level of hyper shrinkage. Various types of hyper shrinkage may be used for various co-data. The method accommodates inclusion of unpenalised covariates, posterior selection of covariates and multiple data types. The model fit is used to predict for new samples. The name 'ecpc' stands for Empirical Bayes, Co-data learnt, Prediction and Covariate selection. See Van Nee et al. (2020) <arXiv:2005.04010>.
License: GPL (>= 3)
URL: https://arxiv.org/abs/2005.04010
NeedsCompilation: no
Packaged: 2021-04-30 15:27:48 UTC; VNOB-0728
Repository: CRAN
Date/Publication: 2021-05-03 07:20:02 UTC

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New package cry with initial version 0.4.1
Package: cry
Title: Statistics for Structural Crystallography
Version: 0.4.1
Date: 2021-05-01
Authors@R: c( person("James","Foadi",email="james_foadi@yahoo.co.uk",role=c("cre","aut")), person("David","Waterman",email="david.waterman@stfc.ac.uk",role="aut"), person("Rita","Giordano",email="rgiordano@gmx.com",role="aut"), person("Kutumbarao","Nidamarthi",email="kuttu.nani@gmail.com",role="aut"))
Description: Reading and writing of files in the most commonly used formats of structural crystallography. It includes functions to work with a variety of statistics used in this field and functions to perform basic crystallographic computing. References: D. G. Waterman, J. Foadi, G. Evans (2011) <doi:10.1107/S0108767311084303>.
License: GPL-2
LazyLoad: yes
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: methods, zoo
Suggests: knitr, rmarkdown, markdown, ggplot2
NeedsCompilation: no
Packaged: 2021-05-02 09:26:55 UTC; james
Author: James Foadi [cre, aut], David Waterman [aut], Rita Giordano [aut], Kutumbarao Nidamarthi [aut]
Maintainer: James Foadi <james_foadi@yahoo.co.uk>
Repository: CRAN
Date/Publication: 2021-05-03 07:30:02 UTC

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New package visualFields with initial version 0.6.1
Package: visualFields
Title: Statistical Methods for Visual Fields
Description: A collection of tools for analyzing the field of vision. It provides a framework for development and use of innovative methods for visualization, statistical analysis, and clinical interpretation of visual-field loss and its change over time. It is intended to be a tool for collaborative research.
Version: 0.6.1
Date: 2021-04-30
Author: Ivan Marin-Franch <imarinfr@optocom.es>
Maintainer: Ivan Marin-Franch <imarinfr@optocom.es>
URL: https://people.eng.unimelb.edu.au/aturpin/opi/index.html
Depends: R (>= 3.5.0)
Imports: stats, utils, grid, flip (>= 2.1), matrixStats, Hmisc, gtools, deldir, spatstat.geom
LazyData: yes
License: GPL (>= 3.0)
NeedsCompilation: no
Packaged: 2021-04-30 13:05:08 UTC; ivanmarin-franch
Repository: CRAN
Date/Publication: 2021-05-02 14:20:02 UTC

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New package genderBR with initial version 1.1.2
Package: genderBR
Title: Predict Gender from Brazilian First Names
Version: 1.1.2
Authors@R: person("Fernando", "Meireles", , "fmeireles@ufmg.br", c("aut", "cre"))
Description: A method to predict and report gender from Brazilian first names using the Brazilian Institute of Geography and Statistics' Census data (<https://censo2010.ibge.gov.br/nomes/>).
License: GPL (>= 2)
Depends: R (>= 3.1.2)
Imports: dplyr (>= 0.5.0), jsonlite, httr, magrittr, purrr, tibble
Encoding: UTF-8
URL: https://github.com/meirelesff/genderBR
BugReports: https://github.com/meirelesff/genderBR/issues
Suggests: testthat (>= 3.0.0), covr
NeedsCompilation: no
Packaged: 2021-04-30 13:15:34 UTC; fernando
Author: Fernando Meireles [aut, cre]
Maintainer: Fernando Meireles <fmeireles@ufmg.br>
Repository: CRAN
Date/Publication: 2021-05-02 14:20:07 UTC

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New package autoharp with initial version 0.0.6
Package: autoharp
Title: Semi-Automatic Grading of R and Rmd Scripts
Version: 0.0.6
Authors@R: c( person("Vik", "Gopal", email="vik.gopal@nus.edu.sg", role=c("aut", "cre")), person("Samuel", "Seah", email="samuelseah@u.nus.edu", role="aut"), person("Viknesh", "Jeya Kumar", email="viknesh@u.nus.edu", role="aut"), person("Gabriel", "Ang", email="gabrielang@u.nus.edu", role="aut"), person("Ruofan", "Liu", email="kelseyliu1998@gmail.com", role="ctb"), person("National University of Singapore", role="cph"))
Description: A customisable set of tools for assessing and grading R or R-markdown scripts from students. It allows for checking correctness of code output, runtime statistics and static code analysis. The latter feature is made possible by representing R expressions using a tree structure.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magrittr, dplyr, stringr, rlang, tidyr, tibble, knitr, rmarkdown, pryr, shiny, lintr, methods, igraph
Collate: 'treeharp.R' 'th_getter-length.R' 'as.matrix.R' 'check_correctness.R' 'check_rmd.R' 'check_runtime.R' 'count_lints.R' 'env_size.R' 'examplify_to_r.R' 'forestharp.R' 'forestharp_helpers.R' 'generate_thumbnails.R' 'join_treeharp.R' 'lang_2_tree.R' 'lang_2_tree_helpers.R' 'log_summary.R' 'lum_local_match.R' 'nlp_related.R' 'populate_soln_env.R' 'render_one.R' 'reset_path.R' 'run_tuner.R' 'to_BFS.R' 'tree_kernel.R' 'tree_routines.R' 'utils-pipe.R' 'utils.R' 'write_html.R' 'zzz.R'
Suggests: readxl, xml2, rvest, formatR, testthat
SystemRequirements: pandoc (>= 1.14) - http://pandoc.org
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-30 11:56:55 UTC; viknesh
Author: Vik Gopal [aut, cre], Samuel Seah [aut], Viknesh Jeya Kumar [aut], Gabriel Ang [aut], Ruofan Liu [ctb], National University of Singapore [cph]
Maintainer: Vik Gopal <vik.gopal@nus.edu.sg>
Repository: CRAN
Date/Publication: 2021-05-02 14:00:02 UTC

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New package intensegRid with initial version 0.1.1
Package: intensegRid
Title: R Wrapper for the Carbon Intensity API
Version: 0.1.1
Author: Kasia Kulma <katarzyna.kulma@gmail.com>
Maintainer: Kasia Kulma <katarzyna.kulma@gmail.com>
Description: Electricity is not made equal and it vary in its carbon footprint (or carbon intensity) depending on its source. This package enables to access and query data provided by the Carbon Intensity API (<https://carbonintensity.org.uk/>). National Grid’s Carbon Intensity API provides an indicative trend of regional carbon intensity of the electricity system in Great Britain.
License: CC0
Encoding: UTF-8
LazyData: TRUE
URL: https://github.com/KKulma/intensegRid, https://kkulma.github.io/intensegRid/articles/intro-to-carbon-intensity.html
BugReports: https://github.com/KKulma/intensegRid/issues
Depends: R (>= 2.10)
Imports: dplyr, httr, jsonlite, lubridate, magrittr, tidyr, tibble, rlang, purrr
Suggests: utils, knitr, rmarkdown, testthat (>= 2.1.0), covr, vcr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-30 23:26:27 UTC; katarzynakulma
Repository: CRAN
Date/Publication: 2021-05-01 06:10:03 UTC

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New package TCIU with initial version 1.2.0
Package: TCIU
Title: Spacekime Analytics, Time Complexity and Inferential Uncertainty
Version: 1.2.0
Authors@R: c(person("Yongkai", "Qiu", role = "aut", email = "yongkai@umich.edu"), person("Zhe", "Yin", role = "aut"), person("Jinwen", "Cao", role = "aut"), person("Yupeng", "Zhang", role = "aut"), person("Yuyao", "Liu", role = "aut"), person("Rongqian", "Zhang", role = "aut"), person("Rouben", "Rostamian", role = "ctb"), person("Ranjan", "Maitra", role = "ctb"), person("Daniel", "Rowe", role = "ctb"), person("Daniel", "Adrian", role = "ctb", comment = "gLRT method for complex-valued fMRI statistics"), person("Yunjie", "Guo", role = c("aut", "cre"), email = "jerryguo@umich.edu"), person("Ivo","Dinov", role = "aut", email = "statistics@umich.edu"))
URL: https://github.com/SOCR/TCIU, https://spacekime.org, https://tciu.predictive.space
BugReports: https://github.com/SOCR/TCIU/issues
Description: Provide the core functionality to transform longitudinal data to complex-time (kime) data using analytic and numerical techniques, visualize the original time-series and reconstructed kime-surfaces, perform model based (e.g., tensor-linear regression) and model-free classification and clustering methods in the book Dinov, ID and Velev, MV. (2021) "Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics", De Gruyter STEM Series, ISBN 978-3-11-069780-3. <https://www.degruyter.com/view/title/576646>. The package includes 18 core functions which can be separated into three groups. 1) draw longitudinal data, such as fMRI time-series, and forecast or transform the time-series data. 2) simulate real-valued time-series data, e.g., fMRI time-courses, detect the activated areas, report the corresponding p-values, and visualize the p-values in the 3D brain space. 3) Laplace transform and kimesurface reconstructions of the fMRI data.
Depends: R (>= 3.5.0)
Imports: stats, ggplot2, dplyr, tidyr, RColorBrewer, fancycut, scales, plotly, gridExtra, ggpubr, ICSNP, AnalyzeFMRI, rrcov, geometry, DT, forecast, fmri, pracma, zoo, extraDistr, parallel, foreach, spatstat.core, spatstat.geom, cubature, doParallel, reshape2, MultiwayRegression
Suggests: oro.nifti, magrittr, knitr, rmarkdown, webshot
License: GPL-3
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
Packaged: 2021-04-30 12:01:05 UTC; gyj99
Author: Yongkai Qiu [aut], Zhe Yin [aut], Jinwen Cao [aut], Yupeng Zhang [aut], Yuyao Liu [aut], Rongqian Zhang [aut], Rouben Rostamian [ctb], Ranjan Maitra [ctb], Daniel Rowe [ctb], Daniel Adrian [ctb] (gLRT method for complex-valued fMRI statistics), Yunjie Guo [aut, cre], Ivo Dinov [aut]
Maintainer: Yunjie Guo <jerryguo@umich.edu>
Repository: CRAN
Date/Publication: 2021-04-30 15:10:03 UTC

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New package BuildSys with initial version 1.0.9
Package: BuildSys
Title: System for Building and Debugging C/C++ Dynamic Libraries
Version: 1.0.9
Date: 2021-04-21
Authors@R: c(person("Paavo","Jumppanen",role=c("aut","cre"),email="paavo.jumppanen@csiro.au"))
Maintainer: Paavo Jumppanen <paavo.jumppanen@csiro.au>
Author: Paavo Jumppanen [aut, cre]
Copyright: CSIRO Marine and Atmospheric Research
Description: A build system based on 'GNU make' that creates and maintains (simply) make files in an R session and provides GUI debugging support through 'Microsoft Visual Code'.
License: GPL-2
URL: https://github.com/pjumppanen/BuildSys
BugReports: https://github.com/pjumppanen/BuildSys/issues
Imports: methods, digest
SystemRequirements: 'Microsoft Visual Code', 'Rtools' on 'Windows', 'gdb' or 'lldb' depending on which OS
NeedsCompilation: no
Packaged: 2021-04-30 06:10:49 UTC; paavo
Repository: CRAN
Date/Publication: 2021-04-30 13:20:02 UTC

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New package Rcompadre with initial version 1.0.0
Package: Rcompadre
Title: Utilities for using the 'COM(P)ADRE' Matrix Model Database
Version: 1.0.0
Authors@R: c( person(given = "Patrick", family = "Barks", email = "barks@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0002-5947-8151")), person(given = "Danny", family = "Buss", email = "dlb50@cam.ac.uk", role = "aut"), person(given = "Roberto", family = "Salguero-Gomez", email = "rob.salguero@zoo.ox.ac.uk", role = "aut", comment = c(ORCID = "0000-0002-6085-4433")), person(given = "Iain", family = "Stott", email = "stott@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0003-2724-7436")), person(given = "William K.", family = "Petry", email = "wpetry@ncsu.edu", role = "aut", comment = c(ORCID = "0000-0002-5230-5987")), person(given = "Tamora", family = "James", email = "tamoradjames@protonmail.com", role = "aut", comment = c(ORCID = "0000-0003-1363-4742")), person(given = "Owen", family = "Jones", email = "jones@biology.sdu.dk", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5720-4686")), person(given = "Julia", family = "Jones", email = "juagjones@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-9223-1778")), person(given = "Gesa", family = "Römer", email = "gesa@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0002-4859-5870")), person(given = "Sam", family = "Levin", role = "aut", email = "levisc8@gmail.com", comment = c(ORCID = "0000-0002-3289-9925")))
Description: Utility functions for interacting with the 'COMPADRE' and 'COMADRE' databases of matrix population models. Described in Jones et al. (2021) <doi:10.1101/2021.04.26.441330>.
License: GPL-3
URL: https://github.com/jonesor/Rcompadre
BugReports: https://github.com/jonesor/Rcompadre/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: methods, popdemo, tibble
Suggests: spelling, knitr, rmarkdown, testthat, popbio, ggplot2, maps, dplyr, ggtern, covr, rcrossref
VignetteBuilder: knitr
Collate: 'CompadreDB.R' 'CompadreDB-Methods.R' 'CompadreDB-Subsetting.R' 'CompadreDB-Tidyverse.R' 'CompadreMat.R' 'ClassUnionMethods.R' 'cdb_check_species.R' 'cdb_collapse.R' 'cdb_compare.R' 'cdb_fetch.R' 'cdb_flag.R' 'cdb_flatten.R' 'cdb_id.R' 'cdb_id_stages.R' 'cdb_id_studies.R' 'cdb_mean_matF.R' 'cdb_metadata.R' 'cdb_rbind.R' 'cdb_unflatten.R' 'cdb_unnest.R' 'data.R' 'mpm_mean.R' 'mpm_methods.R' 'string_representation.R' 'zzz.R'
Language: en-GB
Config/testthat/parallel: true
NeedsCompilation: no
Packaged: 2021-04-29 21:55:05 UTC; jones
Author: Patrick Barks [aut] (<https://orcid.org/0000-0002-5947-8151>), Danny Buss [aut], Roberto Salguero-Gomez [aut] (<https://orcid.org/0000-0002-6085-4433>), Iain Stott [aut] (<https://orcid.org/0000-0003-2724-7436>), William K. Petry [aut] (<https://orcid.org/0000-0002-5230-5987>), Tamora James [aut] (<https://orcid.org/0000-0003-1363-4742>), Owen Jones [aut, cre] (<https://orcid.org/0000-0001-5720-4686>), Julia Jones [aut] (<https://orcid.org/0000-0001-9223-1778>), Gesa Römer [aut] (<https://orcid.org/0000-0002-4859-5870>), Sam Levin [aut] (<https://orcid.org/0000-0002-3289-9925>)
Maintainer: Owen Jones <jones@biology.sdu.dk>
Repository: CRAN
Date/Publication: 2021-04-30 12:40:02 UTC

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New package rbioapi with initial version 0.7.0
Package: rbioapi
Title: User-Friendly R Interface to Biologic Web Services' API
Version: 0.7.0
Authors@R: person(given = "Moosa", family = "Rezwani", role = c("aut", "cre", "cph"), email = "moosa.rezwani@gmail.com")
Description: Currently fully supports miEAA, PANTHER, Reactome, STRING, and UniProt! The goal of rbioapi is to provide a user-friendly and consistent interface to biological databases and services; It is designed in a way that insulates the user from technicalities when it comes to using API services and creates a unified and easy-to-implement tool to connect to biological databases and services. With rbioapi, You are not required to have any prior technical knowledge. Just fill in a function's arguments and the rest is handled for you. This an ongoing project. New databases and services will be implemented periodically to gradually make rbioapi more comprehensive. Feel free to suggest any databases or services you often use.
License: GPL-3
URL: https://github.com/moosa-r/rbioapi
BugReports: https://github.com/moosa-r/rbioapi/issues
Imports: httr, jsonlite, utils
Suggests: DT, knitr, png, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-29 19:08:53 UTC; moosa
Author: Moosa Rezwani [aut, cre, cph]
Maintainer: Moosa Rezwani <moosa.rezwani@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 12:30:03 UTC

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New package purgeR with initial version 1.0
Package: purgeR
Title: Inbreeding-Purging Estimation in Pedigreed Populations
Version: 1.0
Date: 2021-04-29
Authors@R: c( person("Eugenio", "López-Cortegano", email = "elcortegano@gmail.com", role = c("aut", "cre")))
Description: Inbreeding-purging analysis of pedigreed populations, including the computation of the inbreeding coefficient, partial, ancestral and purged inbreeding coefficients, and measures of the opportunity of purging related to the individual reduction of inbreeding load. In addition, functions to calculate the effective population size and other parameters relevant to population genetics are included. Caballero A. and Toro M.A. (2000) <doi:10.1017/s0016672399004449>. García-Dorado A., Wang J. and López-Cortegano E. (2016) <doi:10.1534/g3.116.032425>. Gulisija D. and Crow J.F. (2007) <doi:10.1111/j.1558-5646.2007.00088.x>. Gutiérrez J.P., Cervantes I., Goyache F. (2009) <doi:10.1111/j.1439-0388.2009.00810.x>. López-Cortegano E., Bersabé D., Wang J., García-Dorado A. (2018) <doi:10.1038/s41437-017-0045-y>.
URL: https://gitlab.com/elcortegano/purgeR/
BugReports: https://gitlab.com/elcortegano/purgeR/-/issues/
Encoding: UTF-8
License: GPL-2
Depends: R (>= 3.5.0)
Imports: doSNOW (>= 1.0.19), foreach (>= 1.5.1), parallel, progress (>= 1.2.2), Rcpp (>= 1.0.5), RcppProgress (>= 0.4.2)
LinkingTo: Rcpp, RcppProgress
Suggests: caret (>= 6.0-86), coda (>= 0.19-4), dplyr (>= 1.0.0), e1071 (>= 1.7-4), ggplot2 (>= 3.3.1), glmnet (>= 4.0-2), gtable (>= 0.3.0), knitr (>= 1.28), magrittr (>= 1.5), pander (>= 0.6.3), plyr (>= 1.8.6), purrr (>= 0.3.4), rmarkdown (>= 2.2), scales (>= 1.1.1), stringr (>= 1.4.0), testthat (>= 2.3.2), tibble (>= 3.0.1), tidyr (>= 1.1.0), tidyselect (>= 1.1.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2021-04-29 16:58:04 UTC; elcortegano
Author: Eugenio López-Cortegano [aut, cre]
Maintainer: Eugenio López-Cortegano <elcortegano@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 12:10:02 UTC

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New package mapbayr with initial version 0.4.1
Package: mapbayr
Title: MAP-Bayesian Estimation of PK Parameters
Version: 0.4.1
Authors@R: person(given = "Felicien", family = "Le Louedec", role = c("aut", "cre"), email = "lelouedec.felicien@iuct-oncopole.fr", comment = c(ORCID = "0000-0003-3699-2729"))
Description: Performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in `mrgsolve`, typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, magrittr, mrgsolve (>= 0.10.9), optimx, purrr, rlang, stats, stringr, tibble, tidyr
URL: https://github.com/FelicienLL/mapbayr
BugReports: https://github.com/FelicienLL/mapbayr/issues
Suggests: knitr
NeedsCompilation: no
Packaged: 2021-04-29 17:11:44 UTC; le_louedec
Author: Felicien Le Louedec [aut, cre] (<https://orcid.org/0000-0003-3699-2729>)
Maintainer: Felicien Le Louedec <lelouedec.felicien@iuct-oncopole.fr>
Repository: CRAN
Date/Publication: 2021-04-30 12:20:03 UTC

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New package dbd with initial version 0.0-8
Package: dbd
Version: 0.0-8
Date: 2021-04-30
Title: Versatile Discrete Distributions
Author: Rolf Turner <r.turner@auckland.ac.nz>
Maintainer: Rolf Turner <r.turner@auckland.ac.nz>
Description: Tools for working with a new family of versatile discrete distributions, the db ("discretised Beta") family. This package provides density (probability), distribution, inverse distribution (quantile) and random data generation functions for the db family. It provides functions to effect conveniently maximum likelihood estimation of parameters, and a variety of useful plotting functions. It provides goodness of fit tests and functions to calculate the Fisher information, different estimates of the hessian of the log likelihood and Monte Carlo estimation of the covariance matrix of the maximum likelihood parameter estimates.
Depends: R (>= 3.2.2)
Suggests: hmm.discnp, MASS
LazyData: true
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-04-30 01:59:58 UTC; rolf
Repository: CRAN
Date/Publication: 2021-04-30 12:50:03 UTC

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New package SunsVoc with initial version 0.1.2
Package: SunsVoc
Title: Constructing Suns-Voc from Outdoor Time-Series I-V Curves
Version: 0.1.2
Authors@R: c(person("Menghong", "Wang", email="mxw477@case.edu", role=c("aut"), comment = c(ORCID = "0000-0001-7349-699X")), person("Tyler J.", "Burleyson", email="tjb152@case.edu", role=c("aut","cre"), comment = c(ORCID = "0000-0002-6356-5354")), person("Jiqi", "Liu", email="jxl1763@case.edu", role=c("aut"), comment = c(ORCID = "0000-0003-2016-4160")), person("Alan J.", "Curran", email="ajc269@case.edu", role=c("aut"), comment = c(ORCID = "0000-0002-4505-8359")), person("Abdulkerim", "Gok", email="axg515@case.edu", role=c("aut","ctb"), comment = c(ORCID = "0000-0003-3433-7106")), person("Eric J.", "Schneller", email="eschneller@knights.ucf.edu", role=c("aut"), comment = c(ORCID = "0000-0002-2104-0066")), person("Kristopher O.", "Davis", email="Kristopher.Davis@ucf.edu", role=c("aut"), comment = c(ORCID = "0000-0002-5772-6254")), person("Jennifer L.", "Braid", email="jlb269@case.edu", role=c("aut"), comment = c(ORCID = "0000-0002-0677-7756")), person("Roger H.", "French", email="rxf131@case.edu", role=c("aut", "cph"), comment = c(ORCID = "0000-0002-6162-0532")))
Maintainer: Tyler J. Burleyson <tjb152@case.edu>
Description: Suns-Voc (or Isc-Voc) curves can provide the current-voltage (I-V) characteristics of the diode of photovoltaic cells without the effect of series resistance. Here, Suns-Voc curves can be constructed with outdoor time-series I-V curves [1,2,3] of full-size photovoltaic (PV) modules instead of having to be measured in the lab. Time series of four different power loss modes can be calculated based on obtained Isc-Voc curves. This material is based upon work supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE0008172. Jennifer L. Braid is supported by the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy administered by the Oak Ridge Institute for Science and Education (ORISE) for the DOE. ORISE is managed by Oak Ridge Associated Universities (ORAU) under DOE contract number DE-SC0014664. [1] Wang, M. et al, 2018. <doi:10.1109/PVSC.2018.8547772>. [2] Walters et al, 2018 <doi:10.1109/PVSC.2018.8548187>. [3] Guo, S. et al, 2016. <doi:10.1117/12.2236939>.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Imports: ddiv, magrittr, stringr, dplyr, purrr, data.table, rlang
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-29 15:48:04 UTC; tylerb
Author: Menghong Wang [aut] (<https://orcid.org/0000-0001-7349-699X>), Tyler J. Burleyson [aut, cre] (<https://orcid.org/0000-0002-6356-5354>), Jiqi Liu [aut] (<https://orcid.org/0000-0003-2016-4160>), Alan J. Curran [aut] (<https://orcid.org/0000-0002-4505-8359>), Abdulkerim Gok [aut, ctb] (<https://orcid.org/0000-0003-3433-7106>), Eric J. Schneller [aut] (<https://orcid.org/0000-0002-2104-0066>), Kristopher O. Davis [aut] (<https://orcid.org/0000-0002-5772-6254>), Jennifer L. Braid [aut] (<https://orcid.org/0000-0002-0677-7756>), Roger H. French [aut, cph] (<https://orcid.org/0000-0002-6162-0532>)
Repository: CRAN
Date/Publication: 2021-04-30 09:30:06 UTC

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New package targets with initial version 0.4.2
Package: targets
Title: Dynamic Function-Oriented 'Make'-Like Declarative Workflows
Description: As a pipeline toolkit for Statistics and data science in R, the 'targets' package brings together function-oriented programming and 'Make'-like declarative workflows. It analyzes the dependency relationships among the tasks of a workflow, skips steps that are already up to date, runs the necessary computation with optional parallel workers, abstracts files as R objects, and provides tangible evidence that the results match the underlying code and data. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Version: 0.4.2
License: MIT + file LICENSE
URL: https://docs.ropensci.org/targets/, https://github.com/ropensci/targets
BugReports: https://github.com/ropensci/targets/issues
Authors@R: c( person( given = c("William", "Michael"), family = "Landau", role = c("aut", "cre"), email = "will.landau@gmail.com", comment = c(ORCID = "0000-0003-1878-3253") ), person( given = c("Matthew", "T."), family = "Warkentin", role = "ctb" ), person( given = "Samantha", family = "Oliver", role = "rev", comment = c(ORCID = "0000-0001-5668-1165") ), person( given = "Tristan", family = "Mahr", role = "rev", comment = c(ORCID = "0000-0002-8890-5116") ), person( family = "Eli Lilly and Company", role = "cph" ))
Depends: R (>= 3.5.0)
Imports: callr (>= 3.4.3), cli (>= 2.0.2), codetools (>= 0.2.16), data.table (>= 1.12.8), digest (>= 0.6.25), igraph (>= 1.2.5), R6 (>= 2.4.1), rlang (>= 0.4.10), stats, tibble (>= 3.0.1), tidyselect (>= 1.1.0), utils, vctrs (>= 0.2.4), withr (>= 2.1.2), yaml (>= 2.2.1)
Suggests: arrow (>= 3.0.0), aws.s3 (>= 0.3.21), bs4Dash (>= 0.5.0), clustermq (>= 0.8.95.1), curl (>= 4.3), dplyr (>= 1.0.0), fst (>= 0.9.2), future (>= 1.19.1), future.callr (>= 0.6.0), gt (>= 0.2.2), keras (>= 2.2.5.0), knitr (>= 1.30), markdown (>= 1.1), rmarkdown (>= 2.4), pingr (>= 2.0.1), pkgload (>= 1.1.0), qs (>= 0.24.1), rstudioapi (>= 0.11), shiny (>= 1.5.0), shinybusy (>= 0.2.2), shinyWidgets (>= 0.5.4), testthat (>= 3.0.0), torch (>= 0.1.0), usethis (>= 1.6.3), visNetwork (>= 2.0.9)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-25 16:46:22 UTC; c240390
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Matthew T. Warkentin [ctb], Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 08:50:02 UTC

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New package juicr with initial version 0.1
Package: juicr
Version: 0.1
Date: 2021-04-29
Title: Automated and Manual Extraction of Numerical Data from Scientific Images
Authors@R: person(given = "Marc J.", family = "Lajeunesse", role = c("aut", "cre"), email = "lajeunesse@usf.edu", comment = c(ORCID = "0000-0002-9678-2080"))
Description: Provides a GUI interface for automating data extraction from multiple images containing scatter and bar plots, semi-automated tools to tinker with extraction attempts, and a fully-loaded point-and-click manual extractor with image zoom, calibrator, and classifier. Also provides detailed and R-independent extraction reports as fully-embedded .html records.
Depends: R (>= 3.3.2)
biocViews:
Imports: XML, RCurl
SystemRequirements: Tcl/Tk toolkit (X11 Quarts for Mac)
VignetteBuilder: R.rsp
License: GPL (>= 2)
URL: http://lajeunesse.myweb.usf.edu/ https://github.com/mjlajeunesse/ https://www.youtube.com/c/LajeunesseLab/
Encoding: UTF-8
Suggests: EBImage, R.rsp
NeedsCompilation: no
Packaged: 2021-04-29 16:39:59 UTC; lajeunesse
Author: Marc J. Lajeunesse [aut, cre] (<https://orcid.org/0000-0002-9678-2080>)
Maintainer: Marc J. Lajeunesse <lajeunesse@usf.edu>
Repository: CRAN
Date/Publication: 2021-04-30 07:10:02 UTC

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New package himach with initial version 0.1.2
Package: himach
Title: High Mach Finds Routes for Supersonic Aircraft
Version: 0.1.2
Authors@R: c(person(given = "David", family = "Marsh", role = c("aut", "cre"), email = "david.marsh@eurocontrol.int"), person(family = "EUROCONTROL", role = c("fnd", "cph")))
Description: For supersonic aircraft, flying subsonic over land, High Mach finds the best route between airports. Allows for coastal buffer and potentially closed regions. Uses minimal model of aircraft performance: focus is on time saved versus subsonic flight, rather than vertical flight profile. For modelling and forecasting, not for planning your flight!
License: MIT + file LICENSE
URL: https://github.com/david6marsh/himach
BugReports: https://github.com/david6marsh/himach/issues
Depends: R (>= 3.5.0)
Imports: cppRouting, data.table, dplyr (>= 1.0.0), geosphere, ggplot2, lwgeom, s2, sf (>= 0.9-7), sp, tidyr
Suggests: airportr, cowplot, knitr, methods, purrr, progress, rmarkdown, rnaturalearthdata, scales, stringr, testthat, units, utils, viridis, covr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-GB
NeedsCompilation: no
Packaged: 2021-04-29 16:43:47 UTC; david
Author: David Marsh [aut, cre], EUROCONTROL [fnd, cph]
Maintainer: David Marsh <david.marsh@eurocontrol.int>
Repository: CRAN
Date/Publication: 2021-04-30 07:10:05 UTC

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New package zlog with initial version 1.0.0
Package: zlog
Title: Z(log) Transformation for Laboratory Measurements
Version: 1.0.0
Date: 2021-04-29
Description: Transformation of laboratory measurements into z or z(log)-value based on given or empirical reference limits as proposed in Hoffmann et al. 2017 <doi:10.1515/labmed-2016-0087>.
Authors@R: person(given = "Sebastian", family = "Gibb", email = "mail@sebastiangibb.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7406-4443"))
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>
Depends: R (>= 3.6.0)
Suggests: kableExtra, knitr, rmarkdown, survival, testthat
License: GPL (>= 3)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-29 14:49:00 UTC; sebastian
Author: Sebastian Gibb [aut, cre] (<https://orcid.org/0000-0001-7406-4443>)
Repository: CRAN
Date/Publication: 2021-04-30 06:50:02 UTC

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New package welo with initial version 0.1.0
Package: welo
Title: Weighted and Standard Elo Rates
Version: 0.1.0
Authors@R: person("Vincenzo", "Candila", email="candilav@gmail.com", role=c("aut", "cre"))
Description: Estimates the standard and weighted Elo (WElo, Angelini et al., 2021 <doi:10.1016/j.ejor.2021.04.011>) rates. The current version provides these rates for tennis. In the future, new sports will be added. The 'welo' package offers a flexible tool to estimate the WElo and Elo rates, according to different systems of weights (games or sets) and scale factors (constant, proportional to the number of matches, with more weight on Grand Slam matches or on matches played on a specific surface). Moreover, the package gives the possibility of estimating the (bootstrap) standard errors for the rates. Finally, the package includes a betting function which automatically selects the matches on which place a bet.
License: GPL-3
Encoding: UTF-8
LazyData: true
RdMacros: Rdpack
Depends: R (>= 4.0.0),
Imports: xts (>= 0.12.0), Rdpack (>= 1.0.0), boot (>= 1.3)
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-04-29 16:40:45 UTC; Vincenzo
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <candilav@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 06:50:05 UTC

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New package unitizer with initial version 1.4.14
Package: unitizer
Title: Interactive R Unit Tests
Description: Simplifies regression tests by comparing objects produced by test code with earlier versions of those same objects. If objects are unchanged the tests pass, otherwise execution stops with error details. If in interactive mode, tests can be reviewed through the provided interactive environment.
Version: 1.4.14
Authors@R: c( person( "Brodie", "Gaslam", email="brodie.gaslam@yahoo.com", role=c("aut", "cre")), person(family="R Core Team", email="R-core@r-project.org", role="cph", comment="Traceback function sources." ) )
Depends: methods
Imports: stats, utils, crayon (>= 1.3.2), diffobj (>= 0.1.5.9000)
VignetteBuilder: knitr
Suggests: covr, knitr, rmarkdown, testthat
License: GPL (>= 2)
URL: https://github.com/brodieG/unitizer
BugReports: https://github.com/brodieG/unitizer/issues
Collate: 'asciiml.R' 'capture.R' 'is.R' 'global.R' 'change.R' 'class_unions.R' 'list.R' 'conditions.R' 'item.R' 'deparse.R' 'text.R' 'item.sub.R' 'section.R' 'test.R' 'unitizer.R' 'exec.R' 'prompt.R' 'browse.struct.R' 'browse.R' 'demo.R' 'diff.R' 'faux_prompt.R' 'get.R' 'heal.R' 'load.R' 'ls.R' 'misc.R' 'search.R' 'options.R' 'onload.R' 'parse.R' 'rename.R' 'repairenvs.R' 'result.R' 'shims.R' 'size.R' 'state.R' 'state.compare.R' 'traceback.R' 'translate.R' 'unitize.R' 'unitize.core.R' 'unitizer-package.r' 'unitizer.add.R' 'upgrade.R'
NeedsCompilation: no
Packaged: 2021-04-29 18:43:02 UTC; bg
Author: Brodie Gaslam [aut, cre], R Core Team [cph] (Traceback function sources.)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>
Repository: CRAN
Date/Publication: 2021-04-30 06:30:02 UTC

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New package POSTm with initial version 1.1
Package: POSTm
Title: Phylogeny-Guided OTU-Specific Association Test for Microbiome Data
Version: 1.1
Date: 2021-04-28
Authors@R: c(person("Caizhi", "Huang", role = "aut"), person("Jung-Ying", "Tzeng", role = "aut"), person("Shannon", "Holloway", role = c("aut", "cre"), email = "sthollow@ncsu.edu"))
Author: Caizhi Huang [aut], Jung-Ying Tzeng [aut], Shannon Holloway [aut, cre]
Maintainer: Shannon Holloway <sthollow@ncsu.edu>
Description: Implements the Phylogeny-Guided Microbiome OTU-Specific Association Test method, which boosts the testing power by adaptively borrowing information from phylogenetically close OTUs (operational taxonomic units) of the target OTU. This method is built on a kernel machine regression framework and allows for flexible modeling of complex microbiome effects, adjustments for covariates, and can accommodate both continuous and binary outcomes.
Depends: methods
Imports: CompQuadForm, ape
Suggests: multtest, rmarkdown, knitr
biocViews:
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Collate: 'ACAT.R' 'CKAT.R' 'POSTmData.R' 'distanceMatrix.R' 'getKernel.R' 'glmFit.R' 'lmFit.R' 'p.adjust.POST.R' 'plot.POST.R' 'post.R' 'print.POST.R'
NeedsCompilation: no
Packaged: 2021-04-29 13:04:41 UTC; sthollow
Repository: CRAN
Date/Publication: 2021-04-30 06:50:18 UTC

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New package dartR with initial version 1.9.6
Package: dartR
Title: Importing and Analysing SNP and Silicodart Data Generated by Genome-Wide Restriction Fragment Analysis
Version: 1.9.6
Date: 2021-04-29
Authors@R: c( person("Bernd", "Gruber", email="bernd.gruber@canberra.edu.au", role=c("aut","cre")), person("Arthur", "Georges", email="georges@aerg.edu.au", role="aut"), person("Jose L.", "Mijangos", email="bernd.gruber@canberra.edu.au", role=c("aut")), person("Peter J.", "Unmack", email="peter.mail2@unmack.net", rol="ctb"), person("Oliver", "Berry", email="oliver.berry@csiro.au", rol="ctb" ), person("Lindsay V.", "Clark", email="lvclark@illinois.edu", rol="ctb"), person("Floriaan", "Devloo-Delva",email="Floriaan.Devloo-Delva@csiro.au", rol="ctb"))
Description: Functions are provided that facilitate the import and analysis of SNP (single nucleotide polymorphism) and silicodart (presence/absence) data. The main focus is on data generated by DarT (Diversity Arrays Technology). However, once SNP or related fragment presence/absence data from any source is imported into a genlight object many of the functions can be used. Functions are available for input and output of SNP and silicodart data, for reporting on and filtering on various criteria (e.g. CallRate, Heterozygosity, Reproducibility, maximum allele frequency). Advanced filtering is based on Linkage Disequilibrium and HWE (Hardy-Weinberg equilibrium). Other functions are available for visualization after PCoA (Principle Coordinate Analysis), or to facilitate transfer of data between genlight/genind objects and newhybrids, related, phylip, structure, faststructure packages.
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 3.5), adegenet (>= 2.0.0), ggplot2
biocViews:
Imports: stats, methods, utils, plyr, tidyr, MASS, stringr, ape, vegan, SNPRelate, StAMPP, sp, PopGenReport, hierfstat, robustbase, gridExtra, HardyWeinberg, foreach, dplyr, crayon, devtools
Suggests: knitr, rmarkdown, rgl, parallel, doParallel, data.table, reshape2, pca3d, dismo, pegas, directlabels, rgdal, leaflet.minicharts, leaflet, rrBLUP, poppr, Rcpp, igraph, qvalue, gdistance, seqinr, pheatmap, RColorBrewer, gplots, vcfR, mmod, plotly, ggthemes, ggrepel, raster
License: GPL-2
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-28 23:28:46 UTC; s425824
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Floriaan Devloo-Delva [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>
Repository: CRAN
Date/Publication: 2021-04-30 06:50:08 UTC

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New package contact with initial version 1.2.7
Package: contact
Title: Creating Contact and Social Networks
Version: 1.2.7
Authors@R: c(person(given = "Trevor", family = "Farthing", role = c("aut", "cre"), email = "tsfarthi@ncsu.edu"), person(given = "Daniel", family = "Dawson", role = "aut", email = "dedawson@ncsu.edu"), person(given = "Cristina", family = "Lanzas", role = "ctb", email = "clanzas@ncsu.edu"))
Description: Process spatially- and temporally-discrete data into contact and social networks, and facilitate network analysis by randomizing individuals' movement paths and/or related categorical variables. To use this package, users need only have a dataset containing spatial data (i.e., latitude/longitude, or planar x & y coordinates), individual IDs relating spatial data to specific individuals, and date/time information relating spatial locations to temporal locations. The functionality of this package ranges from data "cleaning" via multiple filtration functions, to spatial and temporal data interpolation, and network creation and analysis. Functions within this package are not limited to describing interpersonal contacts. Package functions can also identify and quantify "contacts" between individuals and fixed areas (e.g., home ranges, water bodies, buildings, etc.). As such, this package is an incredibly useful resource for facilitating epidemiological, ecological, ethological and sociological research.
Depends: R (>= 3.6.0)
Imports: ape (>= 5.3), data.table (>= 1.12.2), doParallel (>= 1.0.15), foreach (>= 1.4.8), igraph (>= 1.2.4.1), lubridate (>= 1.7.4), parallel (>= 3.6.0), raster (>= 2.9-5), rgdal (>= 1.4-4), rgeos (>= 0.4-3), sp (>= 1.3-1), stats (>= 3.6.0)
License: CC0
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/lanzaslab/contact/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-29 09:14:40 UTC; tsfarthi
Author: Trevor Farthing [aut, cre], Daniel Dawson [aut], Cristina Lanzas [ctb]
Maintainer: Trevor Farthing <tsfarthi@ncsu.edu>
Repository: CRAN
Date/Publication: 2021-04-29 16:40:03 UTC

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New package ontoFAST with initial version 1.0.0
Package: ontoFAST
Title: Interactive Annotation of Characters with Biological Ontologies
Version: 1.0.0
Author: Sergei Tarasov
Maintainer: Sergei Tarasov <sergei.tarasov@helsinki.fi>
Description: Tools for annotating characters (character matrices) with anatomical and phenotype ontologies. Includes functions for visualising character annotations and creating simple queries using ontological relationships.
URL: https://github.com/sergeitarasov/ontoFAST
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: shinydashboard, pbapply, stringr, utils, stats, dplyr, plyr, sunburstR, usethis
Depends: R (>= 3.5), shiny, ontologyIndex, visNetwork
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-04-28 10:01:20 UTC; taravser
Repository: CRAN
Date/Publication: 2021-04-29 07:10:02 UTC

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New package magmaR with initial version 1.0.0
Package: magmaR
Title: R-Client for 'Magma' of the 'UCSF Mount Etna Data Library'
Version: 1.0.0
Authors@R: c(person("Daniel", "Bunis", email = "daniel.bunis@ucsf.edu", role=c("aut", "cre")))
Description: A client for interacting with 'magma', the data warehouse of the 'UCSF Mount Etna Data Library'. 'magmaR' includes functions for querying and downloading data from 'magma', in order to enable working with such data in R, as well as for uploading local data to 'magma'.
Imports: crul, jsonlite, utils
Suggests: dittoSeq, BiocStyle, vcr, webmockr, testthat, knitr, rmarkdown
License: GPL-2
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-28 18:33:00 UTC; danielbunis
Author: Daniel Bunis [aut, cre]
Maintainer: Daniel Bunis <daniel.bunis@ucsf.edu>
Repository: CRAN
Date/Publication: 2021-04-29 07:40:02 UTC

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New package leafdown with initial version 1.0.0
Package: leafdown
Title: Provides Drill Down Functionality for 'leaflet' Choropleths
Version: 1.0.0
Authors@R: c( person("Andreas", "Hofheinz", email = "andreas.hofheinz@outlook.com", role = "cre"), person("Peter", "Gandenberger", email = "peter.gandenberger@gmail.com", role = "aut"))
Description: Provides drill down functionality for 'leaflet' choropleths in 'shiny' apps.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: covr, testthat, knitr, rmarkdown, shinytest, dplyr, htmltools
Depends: R (>= 3.5.0)
Imports: R6, leaflet, magrittr, checkmate, shiny, shinyjs
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-28 15:51:57 UTC; andre
Author: Andreas Hofheinz [cre], Peter Gandenberger [aut]
Maintainer: Andreas Hofheinz <andreas.hofheinz@outlook.com>
Repository: CRAN
Date/Publication: 2021-04-29 07:30:03 UTC

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New package daySupply with initial version 0.1.0
Package: daySupply
Title: Calculating Days' Supply and Daily Dose of Prescriptions
Version: 0.1.0
Authors@R: c( person("Abdollah", "Safari", email = "a.saffari72@gmail.com", role = c("aut", "cre")), person("Shahrzad", "Salmasi", email = "shahrzad.salmasi@ubc.ca", role = c("aut")), person("Peter", "Loewen", email = "peter.loewen@ubc.ca", role = c("aut")))
Maintainer: Abdollah Safari <a.saffari72@gmail.com>
Description: Allows clinicians and researchers to compute daily dose (and subsequently days' supply) for prescription refills using the following methods: Fixed window, fixed tablet, defined daily dose (DDD), and Random Effects Warfarin Days' Supply (REWarDS). Daily dose is the computed dose that the patient takes every day. For medications with fixed dosing (e.g. direct oral anticoagulants) this is known and does not need to be estimated. For medications with varying dose such as warfarin, however, the daily dose should be assumed or estimated to allow measurement of drug exposure. Days’ supply is the number of days that patients’ supply of medication will last after each prescription fill. Estimating days’ supply is necessary to calculate drug exposure. The package computes days’ supply and daily dose at both the prescription and patient levels. Results at the prescription level are denoted with “-Rx-” and those at patient level are denoted with “-Pt-”.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, lme4, rlang, magrittr
NeedsCompilation: no
Packaged: 2021-04-28 18:41:00 UTC; asafari
Author: Abdollah Safari [aut, cre], Shahrzad Salmasi [aut], Peter Loewen [aut]
Repository: CRAN
Date/Publication: 2021-04-29 07:50:02 UTC

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New package deeplr with initial version 2.0.0
Package: deeplr
Title: Interface to the 'DeepL' Translation API
Version: 2.0.0
Authors@R: c( person("David", "Zumbach", role = c("aut", "cre"), email = "david.zumbach@gfzb.ch"), person("Paul C.", "Bauer", role = c("aut"), email = "mail@paulcbauer.eu") )
Description: A wrapper for the 'DeepL' Pro API <https://www.deepl.com/docs-api>, a web service for translating texts between different languages. A DeepL API developer account is required to use the service (see <https://www.deepl.com/pro#developer).
License: GPL (>= 2)
Encoding: UTF-8
URL: https://www.deepl.com/translator
BugReports: https://github.com/zumbov2/deeplr/issues
Imports: utf8, httr, tibble, purrr, tokenizers
Suggests: dplyr
NeedsCompilation: no
Packaged: 2021-04-27 19:15:31 UTC; david
Author: David Zumbach [aut, cre], Paul C. Bauer [aut]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>
Repository: CRAN
Date/Publication: 2021-04-28 15:10:02 UTC

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New package rtern with initial version 0.1.1
Package: rtern
Title: A Ternary Conditional Operator for R
Version: 0.1.1
Authors@R: person(given = "Gethin", family = "Davies", role = c("aut", "cre"), email = "grd.davies@gmail.com")
Description: A small language extension for succinct conditional assignment using `?` and `:`, emulating the conditional ternary operator syntax using in C, Java, JavaScript and other languages.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/grddavies/rtern
BugReports: https://github.com/grddavies/rtern/issues
Suggests: covr, testthat (>= 3.0.0), spelling
Language: en-US
Imports: utils, lifecycle
NeedsCompilation: no
Packaged: 2021-04-23 13:41:36 UTC; Gethin.Davies
Author: Gethin Davies [aut, cre]
Maintainer: Gethin Davies <grd.davies@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-28 14:10:02 UTC

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New package matrixpls with initial version 1.0.13
Encoding: UTF-8
Package: matrixpls
Title: Matrix-Based Partial Least Squares Estimation
Version: 1.0.13
Date: 2021-04-28
Authors@R: c(person("Mikko", "Rönkkö", role=c("aut", "cre"), email = "mikko.ronkko@jyu.fi"))
Maintainer: Mikko Rönkkö <mikko.ronkko@jyu.fi>
Description: Partial Least Squares Path Modeling algorithm and related algorithms. The algorithm implementations aim for computational efficiency using matrix algebra and covariance data. The package is designed toward Monte Carlo simulations and includes functions to perform simple Monte Carlo simulations.
URL: https://github.com/mronkko/matrixpls
BugReports: https://github.com/mronkko/matrixpls/issues
ByteCompile: TRUE
Imports: assertive, matrixcalc, lavaan, MASS, methods, psych
Suggests: simsem, RUnit, parallel, semPLS, boot, Matrix, ASGSCA, knitr, R.rsp
License: GPL-3
LazyLoad: yes
LazyData: true
Collate: 'convCheck.R' 'estimator.R' 'innerEstim.R' 'matrixpls.R' 'matrixpls.boot.R' 'matrixpls.crossvalidate.R' 'matrixpls.optim.R' 'matrixpls.plspm.R' 'matrixpls.postestimation.R' 'matrixpls.predict.R' 'matrixpls.sempls.R' 'matrixpls.sim.R' 'matrixpls.util.R' 'outerEstim.R' 'paramEstimator.R' 'reliabilityEstim.R' 'signChange.R' 'weightFun.R' 'weightSign.R'
VignetteBuilder: R.rsp
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-04-28 09:31:19 UTC; mivaanro
Author: Mikko Rönkkö [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-28 14:10:05 UTC

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New package hrt with initial version 1.0.0
Package: hrt
Title: Heteroskedasticity Robust Testing
Version: 1.0.0
Date: 2021-04-15
Author: David Preinerstorfer
Maintainer: David Preinerstorfer <david.preinerstorfer@ulb.be>
Description: Functions for testing affine hypotheses on the regression coefficient vector in regression models with heteroskedastic errors: (i) a function for computing various test statistics (in particular using HC0-HC4 covariance estimators based on unrestricted or restricted residuals); (ii) a function for numerically approximating the size of a test based on such test statistics and a user-supplied critical value; and, most importantly, (iii) a function for determining size-controlling critical values for such test statistics and a user-supplied significance level (also incorporating a check of conditions under which such a size-controlling critical value exists). The three functions are based on results in Poetscher and Preinerstorfer (2021) "Valid Heteroskedasticity Robust Testing" <arXiv:2104.12597>.
License: GPL-2
Imports: methods, stats, Rcpp, CompQuadForm
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2021-04-28 10:49:55 UTC; preid
Repository: CRAN
Date/Publication: 2021-04-28 14:40:02 UTC

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New package mopac with initial version 0.1.0
Package: mopac
Title: Collection of Datasets Pertaining to Loop 1 "Mopac"
Version: 0.1.0
Authors@R: person("Scott", "McKenzie", email = "sccmckenzie@gmail.com", role = c("aut", "cre"))
Description: Provides real & simulated datasets containing time-series traffic observations and additional information pertaining to Loop 1 "Mopac" located in Austin, Texas.
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: dplyr, lubridate, tibble, readr, hms
URL: https://github.com/sccmckenzie/mopac
BugReports: https://github.com/sccmckenzie/mopac/issues
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2021-04-27 15:35:00 UTC; Scott
Author: Scott McKenzie [aut, cre]
Maintainer: Scott McKenzie <sccmckenzie@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-28 13:10:17 UTC

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New package audrex with initial version 1.0.0
Package: audrex
Title: Automatic Dynamic Regression using Extreme Gradient Boosting
Version: 1.0.0
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Dynamic regression for time series using Extreme Gradient Boosting with hyper-parameter tuning via Bayesian Optimization.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports: rBayesianOptimization, xgboost, purrr, abind, ggplot2, readr, stringr, lubridate, narray, fANCOVA, imputeTS, scales, tictoc, bizdays
URL: <https://github.com/dmlc/xgboost>, <https://github.com/yanyachen/rBayesianOptimization>
NeedsCompilation: no
Packaged: 2021-04-28 04:32:36 UTC; gvercellino
Repository: CRAN
Date/Publication: 2021-04-28 13:30:02 UTC

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New package YatesAlgo.FactorialExp.SR with initial version 4.0.4
Package: YatesAlgo.FactorialExp.SR
Title: Yates' Algorithm in 2^n Factorial Experiment
Version: 4.0.4
Author: Somjit Roy
Maintainer: Somjit Roy <somjit.roy2001@gmail.com>
Description: Determines the sum of squares of the (2^n)-1 factorial effects in a 2^n factorial experiment using Yates' algorithm.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lubridate
NeedsCompilation: no
Packaged: 2021-04-27 07:49:29 UTC; somji
Repository: CRAN
Date/Publication: 2021-04-28 08:00:05 UTC

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New package washex with initial version 1.0.0
Package: washex
Title: Washington State Legislative Explorer
Version: 1.0.0
Authors@R: person(given = "Rohnin", family = "Randles", role = c("aut", "cre"), email = "rrandles@princeton.edu")
Description: Gets data from the Washington State Legislature.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: dplyr, purrr, rlang, XML (>= 3.99-0.5)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/rwrandles/washex-r
BugReports: https://github.com/rwrandles/washex-r/issues
NeedsCompilation: no
Packaged: 2021-04-26 22:45:29 UTC; rrdal
Author: Rohnin Randles [aut, cre]
Maintainer: Rohnin Randles <rrandles@princeton.edu>
Repository: CRAN
Date/Publication: 2021-04-28 07:10:02 UTC

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New package RMAT with initial version 0.2.0
Package: RMAT
Version: 0.2.0
Title: Random Matrix Analysis Toolkit
Authors@R: c(person(given = "Ali", family = "Taqi", role = c("aut", "cre"), email = "alif.taqi00@gmail.com"), person(given = "Jonathan", family = "Wells", role = c("ths"), email = "wellsj@reed.edu") )
Maintainer: Ali Taqi <alif.taqi00@gmail.com>
Description: Simulate random matrices and ensembles and compute their eigenvalue spectra and dispersions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, dplyr, stats, magrittr
Suggests: tidyverse
NeedsCompilation: no
Packaged: 2021-04-27 00:27:00 UTC; erdos
Author: Ali Taqi [aut, cre], Jonathan Wells [ths]
Repository: CRAN
Date/Publication: 2021-04-28 07:50:05 UTC

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New package mangoTraining with initial version 1.1.1
Package: mangoTraining
Title: Mango Solutions Training Datasets
Version: 1.1.1
Authors@R: c(person(given = "Mango Solutions", role = c("aut"), email = c("training@mango-solutions.com", "rin24hours@mango-solutions.com")), person(given = "Andrew", family = "Little", role = c("aut", "cre", "ctb", "dtc", "rev"), email = "alittle@mango-solutions.com"), person(given = "Karina", family = "Marks", role = c("aut", "ctb"), email = "kmarks@mango-solutions.com"), person(given = "Aimee", family = "Gott", role = "aut"), person(given = "Owen", family = "Jones", role = "ctb"))
Contact:
Description: Datasets to be used primarily in conjunction with Mango Solutions training materials but also for the book 'SAMS Teach Yourself R in 24 Hours' (ISBN: 978-0-672-33848-9). Version 1.0-7 is largely for use with the book; however, version 1.1 has a much greater focus on use with training materials, whilst retaining compatibility with the book.
URL: https://www.mango-solutions.com/
Depends: R (>= 3.5.0)
Imports: tibble
Suggests: testthat
License: GPL-2
LazyLoad: yes
LazyData: yes
BugReports: https://github.com/MangoTheCat/mangoTraining/issues
NeedsCompilation: no
Packaged: 2021-04-27 09:49:19 UTC; alittle
Author: Mango Solutions [aut], Andrew Little [aut, cre, ctb, dtc, rev], Karina Marks [aut, ctb], Aimee Gott [aut], Owen Jones [ctb]
Maintainer: Andrew Little <alittle@mango-solutions.com>
Repository: CRAN
Date/Publication: 2021-04-28 08:00:02 UTC

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New package glmtrans with initial version 1.0.0
Package: glmtrans
Title: Transfer Learning with Regularized Generalized Linear Models
Version: 1.0.0
Authors@R: c(person("Ye", "Tian", role = c("aut", "cre"), email = "ye.t@columbia.edu"), person("Yang", "Feng", role = "aut", email = "yang.feng@nyu.edu"))
Description: We provide an efficient implementation for two-step multi-source transfer learning algorithms in high-dimensional generalized linear models (GLMs). The elastic-net penalized GLM with three popular families, including linear, logistic and Poisson models, can be fitted. To avoid negative transfer, a transferable source detection algorithm is available. We also provides visualization for the transferable source detection results. A relevant paper by Ye Tian and Yang Feng (2021) will be available soon on arXiv.
Imports: glmnet, ggplot2, foreach, doParallel, caret, assertthat, formatR, stats
License: GPL-2
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: TRUE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-27 02:48:27 UTC; yetian
Author: Ye Tian [aut, cre], Yang Feng [aut]
Maintainer: Ye Tian <ye.t@columbia.edu>
Repository: CRAN
Date/Publication: 2021-04-28 07:50:02 UTC

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New package eiopaR with initial version 0.1.0
Package: eiopaR
Title: Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA
Version: 0.1.0
Authors@R: person(given = "Mehdi", family = "Echchelh", role = c("aut", "cre"), email = "mehdi.echel@gmail.com", comment = c())
Description: Provides EIOPA (European Insurance And Occupational Pensions Authority) risk-free rates. Please note that the author of this package is not affiliated with EIOPA. The data is accessed through a REST API available at <https://mehdiechchelh.com/api/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite,
Collate: 'const.R' 'api.R' 'eiopaR.R' 'utils.R'
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-04-26 09:25:52 UTC; mehdi
Author: Mehdi Echchelh [aut, cre]
Maintainer: Mehdi Echchelh <mehdi.echel@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-28 07:00:03 UTC

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New package DGEobj.utils with initial version 1.0.3
Package: DGEobj.utils
Title: Differential Gene Expression (DGE) Analysis Utility Toolkit
Version: 1.0.3
Description: Provides a function toolkit to facilitate reproducible RNA-Seq Differential Gene Expression (DGE) analysis (Law (2015) <doi:10.12688/f1000research.9005.3>). The tools include both analysis work-flow and utility functions: mapping/unit conversion, count normalization, accounting for unknown covariates, and more. This is a complement/cohort to the 'DGEobj' package that provides a flexible container to manage and annotate Differential Gene Expression analysis results.
Authors@R: c(person("John", "Thompson", role = "aut", email = "jrt@thompsonclan.org"), person("Connie", "Brett", role = c("aut", "cre"), email = "connie@aggregate-genius.com"), person("Isaac", "Neuhaus", role = "aut", email = "isaac.neuhaus@bms.com"), person("Ryan", "Thompson", role = "aut", email = "rct@thompsonclan.org"))
Depends: R (>= 3.5.0)
License: GPL-3
Language: en-US
Encoding: UTF-8
Imports: assertthat, DGEobj (>= 1.0.3), dplyr, statmod, stats, stringr, tidyr, edgeR, IHW, limma, qvalue, RNASeqPower, sva, zFPKM
Suggests: canvasXpress, conflicted, glue, ggplot2, knitr, rmarkdown, testthat, biomaRt
biocViews:
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-26 17:26:21 UTC; conniebrett
Author: John Thompson [aut], Connie Brett [aut, cre], Isaac Neuhaus [aut], Ryan Thompson [aut]
Maintainer: Connie Brett <connie@aggregate-genius.com>
Repository: CRAN
Date/Publication: 2021-04-28 06:40:02 UTC

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New package pleLMA with initial version 0.1.0
Package: pleLMA
Title: Pseudo-Likelihood Estimation of Log-Multiplicative Association Models
Version: 0.1.0
Author: Carolyn J. Anderson
Maintainer: Carolyn J. Anderson <cja@illinois.edu>
Description: Log-multiplicative association models (LMA) are models for cross-classifications of categorical variables where interactions are represented by products of category scale values and an association parameter. Maximum likelihood estimation (MLE) fails for moderate to large numbers of categorical variables. The 'pleLMA' package overcomes this limitation of MLE by using pseudo-likelihood estimation to fit the models to small or large cross-classifications dichotomous or multi-category variables. Originally proposed by Besag (1974, <doi:10.1111/j.2517-6161.1974.tb00999.x>), pseudo-likelihood estimation takes large complex models and breaks it down into smaller ones. Rather than maximizing the likelihood of the joint distribution of all the variables, a pseudo-likelihood function, which is the product likelihoods from conditional distributions, is maximized. LMA models can be derived from a number of different frameworks including (but not limited to) graphical models and uni-dimensional and multi-dimensional item response theory models. More details about the models and estimation can be found in the vignette.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: mnlogit, stats, graphics
Suggests: ggplot2, knitr, rmarkdown, testthat
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-26 16:48:57 UTC; cja
Repository: CRAN
Date/Publication: 2021-04-27 08:10:02 UTC

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New package BBSSL with initial version 0.1.0
Package: BBSSL
Title: Bayesian Bootstrap Spike-and-Slab LASSO
Version: 0.1.0
Authors@R: c(person("Lizhen", "Nie", role = c("aut", "cre"),email = "lizhen@uchicago.edu"), person("Veronika", "Rockova", role = "aut") )
Description: Posterior sampling for Spike-and-Slab LASSO prior in linear models from Nie and Rockova <arXiv:2011.14279>.
License: GPL-3
Encoding: UTF-8
Imports: svMisc (>= 1.1.0), mvnfast (>= 0.2.5), rmutil (>= 1.1.3), greybox (>= 0.5.1), statmod (>= 1.4.30), Matrix (>= 1.2-17), glmnet (>= 2.0-16), truncnorm (>= 1.0-8), methods
NeedsCompilation: yes
Packaged: 2021-04-26 17:10:00 UTC; lizhennie
Author: Lizhen Nie [aut, cre], Veronika Rockova [aut]
Maintainer: Lizhen Nie <lizhen@uchicago.edu>
Repository: CRAN
Date/Publication: 2021-04-27 08:10:05 UTC

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New package spBFA with initial version 1.1
Package: spBFA
Title: Spatial Bayesian Factor Analysis
Version: 1.1
Date: 2021-04-22
Authors@R: person("Samuel I.", "Berchuck", email = "sib2@duke.edu", role = c("aut", "cre"))
Description: Implements a spatial Bayesian non-parametric factor analysis model with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC). Spatial correlation is introduced in the columns of the factor loadings matrix using a Bayesian non-parametric prior, the probit stick-breaking process. Areal spatial data is modeled using a conditional autoregressive (CAR) prior and point-referenced spatial data is treated using a Gaussian process. The response variable can be modeled as Gaussian, probit, Tobit, or Binomial (using Polya-Gamma augmentation). Temporal correlation is introduced for the latent factors through a hierarchical structure and can be specified as exponential or first-order autoregressive. Full details of the package can be found in the accompanying vignette. Furthermore, the details of the package can be found in "Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial Surfaces", by Berchuck et al (2019), <arXiv:1911.04337>. The paper is in press at the journal Bayesian Analysis.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Depends: R (>= 3.0.2)
Imports: graphics, grDevices, msm (>= 1.0.0), mvtnorm (>= 1.0-0), pgdraw (>= 1.0), Rcpp (>= 0.12.9), stats, utils
Suggests: coda, classInt, knitr, rmarkdown, womblR (>= 1.0.3)
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.500.0.0)
VignetteBuilder: knitr
Language: en-US
Packaged: 2021-04-26 13:17:48 UTC; sam
Author: Samuel I. Berchuck [aut, cre]
Maintainer: Samuel I. Berchuck <sib2@duke.edu>
Repository: CRAN
Date/Publication: 2021-04-27 07:30:02 UTC

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New package RTIGER with initial version 0.99.0
Package: RTIGER
Title: HMM-Based Model for Genotyping and Cross-Over Identification
Version: 0.99.0
Authors@R: c( person("Rafael", "Campos-Martin", email = "rfael.mpi@gmail.com", role = c("cre"), comment = c(ORCID = "0000-0002-1395-8571")), person("Sophia", "Schmickler", email = "so4a_schmickler@t-online.de", role = c("aut")), person("Manish", "Goel", email = "goel@mpipz.mpg.de", role = c("ctb")), person("Korbinian", "Schneeberger", email = "schneeberger@mpipz.mpg.de", role = c("aut")), person("Achim", "Tresch", email = "achim.tresch@uni-koeln.de", role= c("aut")) )
Description: Our method integrates information from all sequenced samples, thus avoiding loss of alleles due to low coverage. Moreover, it increases the statistical power to uncover sequencing or alignment errors.
Depends: R (>= 3.6), GenomicRanges, GenomeInfoDb
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LazyDataCompression: gzip
Imports: methods, e1071, reshape2, ggplot2, TailRank, JuliaCall, IRanges, qpdf, grDevices, graphics, stats, utils
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, markdown, Gviz, rtracklayer
biocViews: GenomeAnnotation, HiddenMarkovModel, Sequencing
NeedsCompilation: no
Packaged: 2021-04-26 14:44:35 UTC; campos
Author: Rafael Campos-Martin [cre] (<https://orcid.org/0000-0002-1395-8571>), Sophia Schmickler [aut], Manish Goel [ctb], Korbinian Schneeberger [aut], Achim Tresch [aut]
Maintainer: Rafael Campos-Martin <rfael.mpi@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-27 08:00:02 UTC

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New package prenoms with initial version 0.0.1
Package: prenoms
Title: Names Given to Babies in Quebec Between 1980 and 2020
Version: 0.0.1
Language: en-US
Authors@R: person(given = "Marc-Andre", family = "Desautels", role = c("aut", "cre"), email = "marc-andre.desautels@cstjean.qc.ca")
Description: A database containing the names of the babies born in Quebec between 1980 and 2020.
Depends: R (>= 2.10)
Imports: tibble
Suggests: dplyr, ggplot2
License: MIT + file LICENSE
URL: <https://github.com/desautm/prenoms>
BugReports: https://github.com/desautm/prenoms/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-26 12:52:10 UTC; mdesautels
Author: Marc-Andre Desautels [aut, cre]
Maintainer: Marc-Andre Desautels <marc-andre.desautels@cstjean.qc.ca>
Repository: CRAN
Date/Publication: 2021-04-27 07:30:05 UTC

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New package flametree with initial version 0.1.2
Package: flametree
Title: Generate Random Tree-Like Images
Version: 0.1.2
Authors@R: person(given = "Danielle", family = "Navarro", role = c("aut", "cre"), email = "d.navarro@unsw.edu.au", comment = c(ORCID = "0000-0001-7648-6578"))
Description: A generative art system for producing tree-like images using an L-system to create the structures. The package includes tools for generating the data structures and visualise them in a variety of styles.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/djnavarro/flametree
BugReports: https://github.com/djnavarro/flametree/issues
Imports: tibble, dplyr, purrr, tidyr, ggplot2, ggforce, paletteer, magrittr
Suggests: deldir, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-04-26 11:54:39 UTC; danielle
Author: Danielle Navarro [aut, cre] (<https://orcid.org/0000-0001-7648-6578>)
Maintainer: Danielle Navarro <d.navarro@unsw.edu.au>
Repository: CRAN
Date/Publication: 2021-04-27 07:20:03 UTC

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New package fishflux with initial version 0.0.1.4
Package: fishflux
Title: Model Elemental Fluxes in Fishes
Version: 0.0.1.4
Authors@R: c( person("Nina M. D.", "Schiettekatte", , "nina.schiettekatte@gmail.com", c("aut", "cre")), person("Diego", "Barneche", , "d.barneche@aims.gov.au", "aut") )
Description: Model fluxes of carbon, nitrogen, and phosphorus with the use of a coupled bioenergetics and stoichiometric model that incorporates flexible elemental limitation. Additional functions to help the user to find parameters are included. Finally, functions to extract and visualize results are available as well. For an introduction, see vignette. For more information on the theoretical background of this model, see Schiettekatte et al. (2020) <doi:10.1111/1365-2435.13618>.
URL: https://nschiett.github.io/fishflux/
BugReports: https://github.com/nschiett/fishflux/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.0.0), parallel, dplyr, fishualize, ggplot2, plyr, rfishbase, tidybayes, tidyr, httr, curl
Depends: R (>= 3.6.0)
Suggests: knitr, rmarkdown, testthat, covr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.4.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
LazyData: true
VignetteBuilder: knitr
Biarch: true
NeedsCompilation: yes
Packaged: 2021-04-21 21:37:09 UTC; nschiettekatte
Author: Nina M. D. Schiettekatte [aut, cre], Diego Barneche [aut]
Maintainer: Nina M. D. Schiettekatte <nina.schiettekatte@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-27 07:40:02 UTC

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New package xpose.nlmixr with initial version 0.2.0
Package: xpose.nlmixr
Title: Graphical Diagnostics for Pharmacometric Models: Extension to 'nlmixr'
Version: 0.2.0
Authors@R: c(person('Justin', 'Wilkins', email = 'justin.wilkins@occams.com', role = c('aut', 'cre', 'cph')), person('Matthew','Fidler', role = c('aut','cph'), email = 'matthew.fidler@gmail.com'), person('Benjamin', 'Guiastrennec', role = c('aut'), email = 'guiastrennec@gmail.com'), person('Andrew C.', 'Hooker', role = c('aut'), email = 'andrew.hooker@farmbio.uu.se'), person('Anna', 'Olofsson', role = c('aut', 'cph')), person('Sebastian', 'Ueckert', role = c('aut'), email = 'sebastian.ueckert@farmbio.uu.se'), person('Ron', 'Keizer', role = 'aut', email = 'ronkeizer@gmail.com'), person('Kajsa', 'Harling', role = 'ctb'), person('Mike K.', 'Smith', role = 'ctb'), person('Elodie', 'Plan', role = 'ctb'), person('Mats O.', 'Karlsson', role = c('aut', 'cph'), email = 'mats.karlsson@farmbio.uu.se'), person('Pharmetheus', role = 'ctb'), person('Pfizer', role = 'ctb'), person('Occams', role = 'ctb'), person('Novartis', role = 'ctb'))
Maintainer: Justin Wilkins <justin.wilkins@occams.com>
Description: Extension to 'xpose' to support 'nlmixr'. Provides functions to import 'nlmixr' fit data into an 'xpose' data object, allowing the use of 'xpose' for 'nlmixr' model diagnostics.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2), xpose (>= 0.4.2)
Imports: ggplot2 (>= 2.2.1), nlmixr (>= 1.1.0-0), dplyr (>= 0.7.4), tibble (>= 2.0.0), stringr (>= 1.2.0), tidyr (>= 0.7.2), magrittr (>= 1.5), methods (>= 3.4.1), vpc (>= 1.0.2), nlme, crayon, rlang
NeedsCompilation: no
Packaged: 2021-04-26 07:57:22 UTC; justin
Author: Justin Wilkins [aut, cre, cph], Matthew Fidler [aut, cph], Benjamin Guiastrennec [aut], Andrew C. Hooker [aut], Anna Olofsson [aut, cph], Sebastian Ueckert [aut], Ron Keizer [aut], Kajsa Harling [ctb], Mike K. Smith [ctb], Elodie Plan [ctb], Mats O. Karlsson [aut, cph], Pharmetheus [ctb], Pfizer [ctb], Occams [ctb], Novartis [ctb]
Repository: CRAN
Date/Publication: 2021-04-26 10:20:03 UTC

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New package UPCM with initial version 0.0-2
Package: UPCM
Title: Uncertainty in Partial Credit Models
Version: 0.0-2
Date: 2021-04-26
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>
Description: Provides an extension to the Partial Credit Model and Generalized Partial Credit Models which allows for an additional person parameter that characterizes the uncertainty of the person. The method was originally proposed by Tutz and Schauberger (2020) <doi:10.1177/0146621620920932>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), cubature, mvtnorm, numDeriv, statmod
Depends: R (>= 3.5.0), ltm
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2021-04-26 08:44:38 UTC; ge29weh
Repository: CRAN
Date/Publication: 2021-04-26 10:30:02 UTC

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New package pcds with initial version 0.1.2
Package: pcds
Title: Proximity Catch Digraphs and Their Applications
Version: 0.1.2
Author: Elvan Ceyhan
Maintainer: Elvan Ceyhan <elvanceyhan@gmail.com>
Description: Contains the functions for generating patterns of segregation, association, complete spatial randomness (CSR)) and Uniform data in one, two and three dimensional cases, for testing these patterns based on two invariants of various families of the proximity catch digraphs (PCDs) (see (Ceyhan (2005) ISBN:978-3-639-19063-2). The graph invariants used in testing spatial point data are the domination number (Ceyhan (2011) <doi:10.1080/03610921003597211>) and arc density (Ceyhan et al. (2006) <doi:10.1016/j.csda.2005.03.002>; Ceyhan et al. (2007) <doi:10.1002/cjs.5550350106>) of for two-dimensional data for visualization of PCDs for one, two and three dimensional data. The PCD families considered are Arc-Slice PCDs, Proportional-Edge PCDs and Central Similarity PCDs.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: combinat, graphics, interp, plot3D, plotrix, Rdpack (>= 0.7), stats
RdMacros: Rdpack
Suggests: scatterplot3d
NeedsCompilation: no
Packaged: 2021-04-25 23:46:09 UTC; ceyhan
Repository: CRAN
Date/Publication: 2021-04-26 10:00:02 UTC

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New package IGP with initial version 0.2.0
Package: IGP
Title: Interchangeable Gaussian Process Models
Version: 0.2.0
Authors@R: c( person("Collin", "Erickson", email = "collinberickson@gmail.com", role = c("aut", "cre")) )
Description: Creates a Gaussian process model using the specified package. Makes it easy to try different packages in same code, only the package argument needs to be changed. It is essentially a wrapper for the other Gaussian process software packages.
License: GPL-3
Imports: R6, reticulate
Suggests: GPfit, laGP, mlegp, tgp, DiceKriging, CGP, GauPro, hetGP, testthat, lhs, ggplot2, reshape, ContourFunctions, numDeriv
URL: https://github.com/CollinErickson/IGP
BugReports: https://github.com/CollinErickson/IGP/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-26 02:57:45 UTC; Collin Erickson
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 10:00:19 UTC

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New package fglsnet with initial version 1.0
Package: fglsnet
Title: A Feasible Generalized Least Squares Estimator for Regression Analysis of Outcomes with Network Dependence
Version: 1.0
Date: 2021-04-20
Description: The function estimates a multivariate regression model for outcomes with network dependence.
Author: Weihua An
Maintainer: Weihua An <weihua.an@emory.edu>
Imports: network, sna, matrixcalc, Matrix, MASS, sandwich, lmtest
License: GPL-3
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-25 17:28:36 UTC; wan3
Repository: CRAN
Date/Publication: 2021-04-26 09:40:02 UTC

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New package DEPONS2R with initial version 1.0.3
Package: DEPONS2R
Title: Read, Plot and Analyse Output from the DEPONS Model
Version: 1.0.3
Author: Jacob Nabe-Nielsen
Maintainer: Jacob Nabe-Nielsen <jnn@bios.au.dk>
Description: Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu>, and for manipulating input raster files and shipping routes.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Imports: raster, methods, sp, utils, grDevices, xml2, rgdal, rgeos, jsonlite
NeedsCompilation: no
Packaged: 2021-04-25 18:03:38 UTC; au155800
Repository: CRAN
Date/Publication: 2021-04-26 09:40:05 UTC

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New package refitME with initial version 1.2.0
Package: refitME
Title: Measurement Error Modelling using MCEM
Version: 1.2.0
Authors@R: c(person(given = "Jakub", family = "Stoklosa", role = c("aut", "cre"), email = "j.stoklosa@unsw.edu.au", comment = c(ORCID = "0000-0002-6523-4524")), person(given = "Wenhan", family = "Hwang", role = c("aut", "ctb")), person(given = "David", family = "Warton", role = c("aut", "ctb")), person(given = "Jeremy", family = "Vanderwal", role = "ctb", email = "jjvanderwal@@gmail.com", comment = c("Used the wt.var() function written by Jeremy VanDerWal")))
Description: Fits measurement error models using Monte Carlo Expectation Maximization (MCEM). For specific details on the methodology, see: Greg C. G. Wei & Martin A. Tanner (1990) A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, 85:411, 699-704 <doi:10.1080/01621459.1990.10474930> For more examples on measurement error modelling using MCEM, see the 'RMarkdown' vignette: "'refitME' R-package tutorial".
Depends: R (>= 4.0.0)
Imports: MASS, SemiPar, mgcv, VGAM, VGAMdata, caret, expm, mvtnorm, sandwich, stats, dplyr
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-25 11:15:06 UTC; z3409479
Author: Jakub Stoklosa [aut, cre] (<https://orcid.org/0000-0002-6523-4524>), Wenhan Hwang [aut, ctb], David Warton [aut, ctb], Jeremy Vanderwal [ctb] (Used the wt.var() function written by Jeremy VanDerWal)
Maintainer: Jakub Stoklosa <j.stoklosa@unsw.edu.au>
Repository: CRAN
Date/Publication: 2021-04-26 08:30:03 UTC

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New package ganGenerativeData with initial version 1.1
Package: ganGenerativeData
Title: Generate Generative Data for a Data Source
Version: 1.1
Date: 2021-04-22
Author: Werner Mueller
Maintainer: Werner Mueller <werner.mueller5@chello.at>
Description: Generative Adversarial Networks are applied to generate generative data for a data source. In iterative training steps the distribution of generated data converges to that of the data source. Reference: Goodfellow et al. (2014) <arXiv:1406.2661v1>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), tensorflow (>= 2.0.0)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-04-25 15:32:53 UTC; rstudio
Repository: CRAN
Date/Publication: 2021-04-26 08:30:06 UTC

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New package elasdics with initial version 0.1.2
Package: elasdics
Title: Elastic Analysis of Sparse, Dense and Irregular Curves
Version: 0.1.2
Author: Lisa Steyer <lisa.steyer@hu-berlin.de>
Maintainer: Lisa Steyer <lisa.steyer@hu-berlin.de>
Description: Provides functions to align curves and to compute mean curves based on the elastic distance defined in the square-root-velocity framework. For more details on this framework see Srivastava and Klassen (2016, <doi:10.1007/978-1-4939-4020-2>). For more theoretical details on our methods and algorithms see Steyer et al. (2021, <arXiv:2104.11039>).
License: GPL-3
Encoding: UTF-8
Imports: splines, stats, numDeriv
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2021-04-25 12:20:51 UTC; User
Repository: CRAN
Date/Publication: 2021-04-26 08:30:09 UTC

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New package safejoin with initial version 0.1.0
Package: safejoin
Title: Perform "Safe" Table Joins
Version: 0.1.0
Authors@R: person(given = "Sam", family = "Edwardes", role = c("aut", "cre"), email = "edwardes.s@gmail.com")
Description: The goal of 'safejoin' is to guarantee that when performing joins extra rows are not added to your data. 'safejoin' provides a wrapper around 'dplyr::left_join' that will raise an error when extra rows are unexpectedly added to your data. This can be useful when working with data where you expect there to be a many to one relationship but you are not certain the relationship holds.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Suggests: testthat, knitr, rmarkdown
Imports: dplyr, glue
URL: https://github.com/SamEdwardes/safejoin
BugReports: https://github.com/SamEdwardes/safejoin/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-20 13:27:30 UTC; samedwardes
Author: Sam Edwardes [aut, cre]
Maintainer: Sam Edwardes <edwardes.s@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 07:30:02 UTC

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New package pomcheckr with initial version 0.1.0
Package: pomcheckr
Title: Graphical Check for Proportional Odds Assumption
Version: 0.1.0
Authors@R: person(given = "Melissa", family = "Wong", role = c("aut", "cre"), email = "melissa.wong.stats@gmail.com", comment = c(ORCID = "0000-0002-2973-6279"))
Description: Implements the method described at the UCLA Statistical Consulting site <https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/> for checking if the proportional odds assumption holds for a cumulative logit model.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: dplyr, tidyr, ggplot2, assertthat, stats, rlang, magrittr, stringr
NeedsCompilation: no
Packaged: 2021-04-24 18:55:51 UTC; melissa
Author: Melissa Wong [aut, cre] (<https://orcid.org/0000-0002-2973-6279>)
Maintainer: Melissa Wong <melissa.wong.stats@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 08:00:03 UTC

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New package babelgene with initial version 21.4
Package: babelgene
Title: Gene Orthologs for Model Organisms in a Tidy Data Format
Version: 21.4
Authors@R: person("Igor", "Dolgalev", email = "igor.dolgalev@nyumc.org", role = c("aut", "cre"))
Description: Genomic analysis of model organisms often requires the use of databases based on human data or making comparisons to patient-derived resources. This requires converting genes between human and non-human analogues. The babelgene R package provides predicted gene orthologs/homologs for frequently studied model organisms in an R-friendly tidy/long format. The package integrates orthology assertion predictions sourced from multiple databases as compiled by the HGNC Comparison of Orthology Predictions (HCOP) (Wright et al. 2005 <doi:10.1007/s00335-005-0103-2>, Eyre et al. 2007 <doi:10.1093/bib/bbl030>, Seal et al. 2011 <doi:10.1093/nar/gkq892>).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://igordot.github.io/babelgene/
BugReports: https://github.com/igordot/babelgene/issues
Depends: R (>= 3.3)
Imports: dplyr, methods, rlang
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-24 02:41:40 UTC; id460
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>
Repository: CRAN
Date/Publication: 2021-04-26 07:40:03 UTC

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New package semmcmc with initial version 0.0.4
Package: semmcmc
Title: Bayesian Structural Equation Modeling in Multiple Omics Data Integration
Version: 0.0.4
Date: 2021-04-20
Authors@R: c(person("Arnab", "Maity", email = "arnab.maity@pfizer.com", role = c("aut", "cre")), person("Sang", "Chan Lee", email = "sangchan0624@gmail.com", role = "aut"), person("Bani", "K. Mallick", email = "bmallick@stat.tamu.edu", role = "aut"), person("Samsiddhi", "Bhattacharjee", email = "sb1@nibmg.ac.in", role = "aut"), person("Nidhan", "K. Biswas", email = "nkb1@nibmg.ac.in", role = "aut"))
Description: Provides Markov Chain Monte Carlo (MCMC) routine for the structural equation modelling described in Maity et. al. (2020) <doi:10.1093/bioinformatics/btaa286>. This MCMC sampler is useful when one attempts to perform an integrative survival analysis for multiple platforms of the Omics data where the response is time to event and the predictors are different omics expressions for different platforms.
Depends: R (>= 2.10)
Imports: MASS, msm
License: GPL-3
Encoding: UTF-8
LazyData: FALSE
NeedsCompilation: no
Packaged: 2021-04-22 19:20:44 UTC; MAITYA02
Author: Arnab Maity [aut, cre], Sang Chan Lee [aut], Bani K. Mallick [aut], Samsiddhi Bhattacharjee [aut], Nidhan K. Biswas [aut]
Maintainer: Arnab Maity <arnab.maity@pfizer.com>
Repository: CRAN
Date/Publication: 2021-04-26 06:10:02 UTC

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New package rTLS with initial version 0.2.3.3
Package: rTLS
Title: Tools to Process Point Clouds Derived from Terrestrial Laser Scanning
Version: 0.2.3.3
Authors@R: c(person(given = "J. Antonio", family = "Guzmán Q.", role = c("cre", "aut", "ths", "cph"), email = "antguz06@gmail.com", comment = c(ORCID = "0000-0002-0721-148X")), person(given = "Ronny", family = "Hernandez", role = "aut", email = "ronny.hernandezm@gmail.com", comment = c(ORCID = "0000-0001-6225-7096")), person(given = "Arturo", family = "Sanchez-Azofeifa", role = c("dgs", "sad"), email = "arturo.sanchez@ualberta.ca", comment = c(ORCID = "0000-0001-7768-6600")), person(given = "Marius", family = "Muja", role = "cph", email = "mariusm@cs.ubc.ca", comment = "Copyright holder for FLANN C++ code"), person(given = "David G.", family = "Lowe", role = "cph", email = "lowe@cs.ubc.ca", comment = "Copyright holder for FLANN C++ code"), person(given = "Aguilar", family = "Pablo", role = "cph", comment = "Copyright holder for Boost C++ code"), person(given = "Diggins", family = "Christopher", role = "cph", comment = "Copyright holder for Boost C++ code"), person(given = "Henney", family = "Kevlin", role = "cph", comment = "Copyright holder for Boost C++ code"), person(given = "Yee", family = "Jeremy", role = "cph", email = "jeremyyee@outlook.com.au", comment = "Copyright holder for rflann code"), person(given = "Rabaud", family = "Vincent", role = "hnr", comment = "Honored by a work on dynamic_bitset.h"))
Maintainer: J. Antonio Guzmán Q. <antguz06@gmail.com>
Description: A set of tools to process and calculate metrics on point clouds derived from terrestrial LiDAR (Light Detection and Ranging; TLS). Its creation is based on key aspects of the TLS application in forestry and ecology. Currently, the main routines are based on filtering, neighboring features of points, voxelization, canopy structure, and the creation of artificial stands. It is written using data.table and C++ language and in most of the functions it is possible to use parallel processing to speed-up the routines.
License: GPL (>= 3)
URL: https://github.com/Antguz/rTLS
BugReports: https://github.com/Antguz/rTLS/issues
Depends: data.table (>= 1.14), R (>= 4.0.0)
Imports: alphashape3d, boot, doSNOW (>= 1.0.16), foreach (>= 1.4.4), parallel (>= 3.6.0), Rcpp (>= 1.0.3), RcppProgress (>= 0.4.2), rgeos, rgl, sp
Suggests: knitr, rmarkdown, covr, testthat (>= 3.0.1)
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.870), RcppProgress (>= 0.4.2)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
SystemRequirements: GNU make
ByteCompile: true
NeedsCompilation: yes
Packaged: 2021-04-22 20:53:44 UTC; antguz
Author: J. Antonio Guzmán Q. [cre, aut, ths, cph] (<https://orcid.org/0000-0002-0721-148X>), Ronny Hernandez [aut] (<https://orcid.org/0000-0001-6225-7096>), Arturo Sanchez-Azofeifa [dgs, sad] (<https://orcid.org/0000-0001-7768-6600>), Marius Muja [cph] (Copyright holder for FLANN C++ code), David G. Lowe [cph] (Copyright holder for FLANN C++ code), Aguilar Pablo [cph] (Copyright holder for Boost C++ code), Diggins Christopher [cph] (Copyright holder for Boost C++ code), Henney Kevlin [cph] (Copyright holder for Boost C++ code), Yee Jeremy [cph] (Copyright holder for rflann code), Rabaud Vincent [hnr] (Honored by a work on dynamic_bitset.h)
Repository: CRAN
Date/Publication: 2021-04-26 06:20:02 UTC

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New package basedosdados with initial version 0.0.5
Package: basedosdados
Title: 'Base Dos Dados' R Client
Version: 0.0.5
Authors@R: person(given = "Pedro", family = "Cavalcante", role = c("aut", "cre"), email = "pedrocolrj@gmail.com")
Description: An R interface to the 'Base dos Dados' API <https:basedosdados.github.io/mais/py_reference_api/>). Authenticate your project, query our tables, save data to disk and memory, all from R.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, dplyr, tibble, httr, googleAuthR, cli, magrittr, readr, stringr, dotenv, bigrquery, glue, rlang, writexl
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-04-23 02:38:05 UTC; pedro
Author: Pedro Cavalcante [aut, cre]
Maintainer: Pedro Cavalcante <pedrocolrj@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 06:30:10 UTC

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New package seminr with initial version 2.0.2
Package: seminr
Title: Building and Estimating Structural Equation Models
Version: 2.0.2
Date: 2021-04-01
Authors@R: c(person("Soumya", "Ray", email = "soumya.ray@gmail.com", role = c("aut", "ths")), person("Nicholas Patrick", "Danks", email = "nicholasdanks@hotmail.com", role = c("aut","cre")), person("André", "Calero Valdez", role = "aut", email = "andrecalerovaldez@gmail.com"), person("Juan Manuel Velasquez", "Estrada", role = "ctb"), person("James", "Uanhoro", role = "ctb", email = "James.uanhoro@gmail.com"), person("Johannes", "Nakayama", role = "ctb", email = "johannes.nakayama@rwth-aachen.de"), person("Lilian", "Koyan", role = "ctb", email = "lilian.kojan@rwth-aachen.de"), person("Laura", "Burbach", role = "ctb", email = "laura.burbach@rwth-aachen.de"), person("Arturo Heynar", "Cano Bejar", role = "ctb", email = "arturocano997@gmail.com"), person("Susanne", "Adler", role = "ctb", email = "susanne.adler@ovgu.de") )
Description: A powerful, easy to syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis.
Imports: parallel, lavaan, glue
License: GPL-3
Depends: R (>= 3.5.0)
LazyData: TRUE
Suggests: knitr, testthat, rmarkdown, DiagrammeR (>= 1.0.6), DiagrammeRsvg (>= 0.1), webp, vdiffr
Enhances: rsvg (>= 2.1), semPlot
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-24 09:50:59 UTC; danksnicholas
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], André Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne Adler [ctb]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>
Repository: CRAN
Date/Publication: 2021-04-25 07:40:02 UTC

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New package cecs with initial version 0.2.0
Package: cecs
Title: R Interface for the C Implementation of CEC Benchmark Functions
Version: 0.2.0
Authors@R: c( person("Eryk", "Warchulski", role = c("aut", "cre"), email = "ewarchul@gmail.com"), person("Dariusz", "Jagodziński", role = c("cph"), email = "d.jagodzinski@elka.pw.edu.pl"), person("Yasser", "Gonzalez-Fernandez", role = c("cph"), email = "yasser@yassergonzalez.com"), person("Mauricio", "Zambrano-Bigiarini", role = c("cph"), email = "mzb.devel@gmail.com") )
Description: Goal of this package is to provide access to benchmark functions defined for the Special Session and Competition on Real-Parameter Single Objective Optimization in one place. The package contains functions from following years: 2013, 2014, 2015, 2017, 2019, 2021 (<https://github.com/P-N-Suganthan>). Implementations of CEC-2013 (Y. Gonzalez-Fernandez & M. Zambrano-Bigiarini) and CEC2017 (D. Jagodziński) are taken from existed R packages. Also, the original C source code has been cleaned and reorganized for better readability.
License: GPL (>= 3)
BugReports: https://github.com/ewarchul/cecs/issues
URL: https://github.com/ewarchul/cecs
Depends: R (>= 3.6.0)
Imports: stringr (>= 1.4.0), cec2013 (>= 0.1.5)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), purrr (>= 0.3.4)
NeedsCompilation: yes
Packaged: 2021-04-23 15:24:05 UTC; ewarchul
Author: Eryk Warchulski [aut, cre], Dariusz Jagodziński [cph], Yasser Gonzalez-Fernandez [cph], Mauricio Zambrano-Bigiarini [cph]
Maintainer: Eryk Warchulski <ewarchul@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-25 07:40:07 UTC

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New package survivalAnalysis with initial version 0.2.0
Package: survivalAnalysis
Title: High-Level Interface for Survival Analysis and Associated Plots
Version: 0.2.0
Author: Marcel Wiesweg [aut, cre]
Authors@R: person("Marcel", "Wiesweg", email = "marcel.wiesweg@uk-essen.de", role = c("aut", "cre"))
Maintainer: Marcel Wiesweg <marcel.wiesweg@uk-essen.de>
Description: A high-level interface to perform survival analysis, including Kaplan-Meier analysis and log-rank tests and Cox regression. Aims at providing a clear and elegant syntax, support for use in a pipeline, structured output and plotting. Builds upon the 'survminer' package for Kaplan-Meier plots and provides a customizable implementation for forest plots. Kaplan & Meier (1958) <doi:10.1080/01621459.1958.10501452> Cox (1972) <JSTOR:2985181> Peto & Peto (1972) <JSTOR:2344317>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.3.0)
Imports: grDevices, graphics, stats, utils, survival, rlang (>= 0.2.0), dplyr (>= 0.8.0), forcats, magrittr, purrr, stringr, tibble, tidyr, gridExtra, ggplot2 (>= 2.2.1), scales, survminer (> 0.4.0), cowplot, tidytidbits
Suggests: knitr, rmarkdown, tidyverse
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-23 14:27:16 UTC; marcel
Repository: CRAN
Date/Publication: 2021-04-24 12:20:05 UTC

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New package covidregionaldata with initial version 0.9.0
Package: covidregionaldata
Title: Subnational Data for the COVID-19 Outbreak
Version: 0.9.0
Authors@R: c(person(given = "Sam Abbott", role = c("aut", "cre"), email = "sam.abbott@lshtm.ac.uk", comment = c(ORCID = "0000-0001-8057-8037")), person(given = "Katharine", family = "Sherratt", role = "aut", email = "katharine.sherratt@lshtm.ac.uk", comment = c(ORCID = "0000-0003-2049-3423")), person(given = "Joe", family = "Palmer", role = "aut"), person(given = "Richard", family = "Martin-Nielsen", role = "aut", comment = c(URL = "https://github.com/RichardMN")), person(given = "Jonnie", family = "Bevan", role = "aut", email = "jonnie.bevan@tessella.com"), person(given = "Hamish", family = "Gibbs", role = "aut", email = "Hamish.Gibbs@lshtm.ac.uk", comment = c(ORCID = "0000-0003-4413-453X")), person(given = "Sophie", family = "Meakin", role = "ctb", email = "sophie.meaking@lshtm.ac.uk"), person(given = "Joel", family = "Hellewell", role = "ctb", email = "joel.hellewell@lshtm.ac.uk", comment = c(ORCID = "0000-0003-2683-0849")), person(given = "Patrick", family = "Barks", role = "ctb", email = "patrick.barks@epicentre.msf.org"), person(given = "Paul", family = "Campbell", role = "ctb", email = " paul.campbell@epicentre.msf.org"), person(given = "Flavio", family = "Finger", role = "ctb", email = "flavio.finger@epicentre.msf.org", comment = c(ORCID = "0000-0002-8613-5170")), person(given = "Richard", family = "Boyes", role = "ctb", comment = c(URL = "https://github.com/rboyes")), person(given = "Hugo", family = "Gruson", role = "ctb", comment = c(ORCID = "0000-0002-4094-1476")), person(given = "Sebastian", family = "Funk", role = "aut", email = "sebastian.funk@lshtm.ac.uk"))
Description: An interface to subnational and national level COVID-19 data. For all countries supported, this includes a daily time-series of cases. Wherever available we also provide data on deaths, hospitalisations, and tests. National level data is also supported using a range of data sources as well as line list data and links to intervention data sets.
License: MIT + file LICENSE
URL: https://epiforecasts.io/covidregionaldata/, https://github.com/epiforecasts/covidregionaldata/
BugReports: https://github.com/epiforecasts/covidregionaldata/issues/
Depends: R (>= 3.5.0)
Imports: countrycode (>= 1.2.0), dplyr, httr, lifecycle, lubridate, magrittr, memoise, purrr, R6, readxl, rlang, rvest, stringr, tibble, tidyr (>= 1.0.0), tidyselect, vroom, withr, xml2
Suggests: ggplot2, knitr, mockery, pkgdown, rmarkdown, rworldmap, spelling, testthat (>= 3.0.0), usethis
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-gb
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-24 12:04:55 UTC; LSHSA2
Author: Sam Abbott [aut, cre] (<https://orcid.org/0000-0001-8057-8037>), Katharine Sherratt [aut] (<https://orcid.org/0000-0003-2049-3423>), Joe Palmer [aut], Richard Martin-Nielsen [aut] (https://github.com/RichardMN), Jonnie Bevan [aut], Hamish Gibbs [aut] (<https://orcid.org/0000-0003-4413-453X>), Sophie Meakin [ctb], Joel Hellewell [ctb] (<https://orcid.org/0000-0003-2683-0849>), Patrick Barks [ctb], Paul Campbell [ctb], Flavio Finger [ctb] (<https://orcid.org/0000-0002-8613-5170>), Richard Boyes [ctb] (https://github.com/rboyes), Hugo Gruson [ctb] (<https://orcid.org/0000-0002-4094-1476>), Sebastian Funk [aut]
Maintainer: Sam Abbott <sam.abbott@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2021-04-24 12:30:02 UTC

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New package aRbs with initial version 0.1.3
Package: aRbs
Title: Find Arbitrage Opportunities for Sports Matches
Version: 0.1.3
Authors@R: person("Andrew", "Little", email = "andrewlittlebristol@gmail.com", role = c("aut", "cre"))
Maintainer: Andrew Little <andrewlittlebristol@gmail.com>
Description: Money doesn't grow on trees. Arbitrage opportunities do. Find the best arbitrage opportunities (arbs) in sports matches through <https://www.oddschecker.com/>. This package allows the user to input the URLs of <https://www.oddschecker.com/> subdomains in order to extract any opportunities for arbitrage. The majority of the functionality is implemented using the function get_arbs_shiny(), which simply provides an easy-to-use interface wrapping the functionality of the get_arbs() function. This function first finds all subdomains of the URL entered, then filters to only include those that look like event betting pages. Next, odds are scraped from the various bookmakers listed for that event, before returning combinations of bookmakers, odds or outcomes that could be used for arbitrage. Bets placed subsequently are done so at bettor's risk. Please see package README for full details.
License: GPL-2
Imports: data.table, crayon, dplyr, progress, stringr, xml2, rvest, purrr, parallel, stats, shiny, shinydashboard, shinycssloaders, DT, shinyBS, dlstats, ggplot2, lubridate, utils
Depends: R (>= 3.5.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-24 12:26:33 UTC; alittle
Author: Andrew Little [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-24 12:40:02 UTC

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