Wed, 05 May 2021

Package foghorn updated to version 1.4.0 with previous version 1.3.2 dated 2020-12-17

Title: Summarize CRAN Check Results in the Terminal
Description: The CRAN check results and where your package stands in the CRAN submission queue in your R terminal.
Author: Francois Michonneau [aut, cre], Ben Bolker [ctb]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

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Package BNSP updated to version 2.1.6 with previous version 2.1.5 dated 2021-01-07

Title: Bayesian Non- And Semi-Parametric Model Fitting
Description: MCMC algorithms & processing functions for: 1. single response multiple regression, see Papageorgiou, G. (2018) <doi: 10.32614/RJ-2018-069>, 2. multivariate response multiple regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, see Papageorgiou, G. and Marshall, B. C. (2020) <doi: 10.1080/10618600.2020.1739534>, 3. joint mean-covariance models for multivariate responses, see Papageorgiou, G. (2020), and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) <doi: 10.1111/anzs.12273>.
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>

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Package waiter updated to version 0.2.1 with previous version 0.2.0 dated 2021-01-14

Title: Loading Screen for 'Shiny'
Description: Full screen and partial loading screens for 'Shiny' with spinners, progress bars, and notifications.
Author: John Coene [aut, cre], Jinhwan Kim [ctb], Victor Granda [ctb] (<https://orcid.org/0000-0002-0469-1991>)
Maintainer: John Coene <jcoenep@gmail.com>

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Package textTinyR updated to version 1.1.4 with previous version 1.1.3 dated 2019-04-14

Title: Text Processing for Small or Big Data Files
Description: It offers functions for splitting, parsing, tokenizing and creating a vocabulary for big text data files. Moreover, it includes functions for building a document-term matrix and extracting information from those (term-associations, most frequent terms). It also embodies functions for calculating token statistics (collocations, look-up tables, string dissimilarities) and functions to work with sparse matrices. Lastly, it includes functions for Word Vector Representations (i.e. 'GloVe', 'fasttext') and incorporates functions for the calculation of (pairwise) text document dissimilarities. The source code is based on 'C++11' and exported in R through the 'Rcpp', 'RcppArmadillo' and 'BH' packages.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package rdecision updated to version 1.0.4 with previous version 1.0.3 dated 2021-03-31

Title: Decision Analytic Modelling in Health Economics
Description: Classes and functions for modelling health care interventions using cohort models (decision trees). Mechanisms are provided for associating an uncertainty distribution with each source variable and for ensuring transparency of the mathematical relationships between variables. The package terminology follows Briggs "Decision Modelling for Health Economic Evaluation" (2006, ISBN:978-0-19-852662-9).
Author: Andrew Sims [aut, cre] (<https://orcid.org/0000-0002-9553-7278>), Kim Fairbairn [aut] (<https://orcid.org/0000-0001-5108-6279>)
Maintainer: Andrew Sims <andrew.sims@newcastle.ac.uk>

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Package libbib updated to version 1.6 with previous version 1.5 dated 2021-04-24

Title: Various Utilities for Library Science/Assessment and Cataloging
Description: Provides functions for validating and normalizing bibliographic codes such as ISBN, ISSN, and LCCN. Also includes functions to communicate with the WorldCat API, translate Call numbers (Library of Congress and Dewey Decimal) to their subject classifications or subclassifications, and provides various loadable data files such call number / subject crosswalks and code tables.
Author: Tony Fischetti [aut, cre]
Maintainer: Tony Fischetti <tony.fischetti@gmail.com>

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Package DPQ updated to version 0.4-3 with previous version 0.4-2 dated 2020-11-09

Title: Density, Probability, Quantile ('DPQ') Computations
Description: Computations for approximations and alternatives for the 'DPQ' (Density (pdf), Probability (cdf) and Quantile) functions for probability distributions in R. Primary focus is on (central and non-central) beta, gamma and related distributions such as the chi-squared, F, and t. -- This is for the use of researchers in these numerical approximation implementations, notably for my own use in order to improve standard R pbeta(), qgamma(), ..., etc: {'"dpq"'-functions}.
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Morten Welinder [ctb] (pgamma C code, see PR#7307, Jan. 2005; further pdhyper()), Wolfgang Viechtbauer [ctb] (dtWV(), 2002), Ross Ihaka [ctb] (src/qchisq_appr.c), Marius Hofert [ctb] (lsum(), lssum()), R-core [ctb] (src/{dpq.h, algdiv.c, pnchisq.c, bd0.c}), R Foundation [cph] (src/qchisq-appr.c)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package devtools updated to version 2.4.1 with previous version 2.4.0 dated 2021-04-07

Title: Tools to Make Developing R Packages Easier
Description: Collection of package development tools.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Winston Chang [aut], RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between devtools versions 2.4.0 dated 2021-04-07 and 2.4.1 dated 2021-05-05

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Package msigdbr updated to version 7.4.1 with previous version 7.2.1 dated 2020-10-02

Title: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
Description: Provides the 'Molecular Signatures Database' (MSigDB) gene sets typically used with the 'Gene Set Enrichment Analysis' (GSEA) software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>, Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>) in a standard R data frame with key-value pairs. The package includes the human genes as listed in MSigDB as well as the corresponding symbols and IDs for frequently studied model organisms such as mouse, rat, pig, fly, and yeast.
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>

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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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Package torchaudio updated to version 0.2.0 with previous version 0.1.1.0 dated 2021-01-18

Title: R Interface to 'pytorch''s 'torchaudio'
Description: Provides access to datasets, models and preprocessing facilities for deep learning in audio.
Author: Athos Damiani [aut, cre]
Maintainer: Athos Damiani <athos.damiani@gmail.com>

Diff between torchaudio versions 0.1.1.0 dated 2021-01-18 and 0.2.0 dated 2021-05-05

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Package spsUtil updated to version 0.1.2 with previous version 0.1.0 dated 2021-02-16

Title: 'systemPipeShiny' Utility Functions
Description: The systemPipeShiny (SPS) framework comes with many useful utility functions. However, installing the whole framework is heavy and takes some time. If you like only a few useful utility functions from SPS, install this package is enough.
Author: Le Zhang [aut, cre]
Maintainer: Le Zhang <lezhang100@gmail.com>

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Package Riemann updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-22

Title: Learning with Data on Riemannian Manifolds
Description: We provide a variety of algorithms for manifold-valued data, including Fréchet summaries, hypothesis testing, clustering, visualization, and other learning tasks. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> for general exposition to statistics on manifolds.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyoustat@gmail.com>

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Package nnlib2Rcpp updated to version 0.1.7 with previous version 0.1.6 dated 2021-03-03

Title: A Collection of Neural Networks
Description: Contains versions of Autoencoder, BP, LVQ, MAM NN and a module to define custom neural networks.
Author: Vasilis Nikolaidis [aut, cph, cre] (<https://orcid.org/0000-0003-1471-8788>)
Maintainer: Vasilis Nikolaidis <vnikolaidis@us.uop.gr>

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Package dplyr updated to version 1.0.6 with previous version 1.0.5 dated 2021-03-05

Title: A Grammar of Data Manipulation
Description: A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Author: Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>), Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Lionel Henry [aut], Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package AssetCorr updated to version 1.0.4 with previous version 1.0.3 dated 2018-08-30

Title: Estimating Asset Correlations from Default Data
Description: Functions for the estimation of intra- and inter-cohort correlations in the Vasicek credit portfolio model. For intra-cohort correlations, the package covers the two method of moments estimators of Gordy (2000) <doi:10.1016/S0378-4266(99)00054-0>, the method of moments estimator of Lucas (1995) <https://jfi.pm-research.com/content/4/4/76> and a Binomial approximation extension of this approach. Moreover, the maximum likelihood estimators of Gordy and Heitfield (2010) <http://elsa.berkeley.edu/~mcfadden/e242_f03/heitfield.pdf> and Duellmann and Gehde-Trapp (2004) <http://hdl.handle.net/10419/19729> are implemented. For inter-cohort correlations, the method of moments estimator of Bluhm and Overbeck (2003) <doi:10.1007/978-3-642-59365-9_2>/Bams et al. (2016) <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2676595> is provided and the maximum likelihood estimators comprise the approaches of Gordy and Heitfield (2010)/Kalkbrener and Onwunta (2010) <ISBN: 978-1906348250> and Pfeuffer et al. (2020). Bootstrap and Jackknife procedures for bias correction are included as well as the method of moments estimator of Frei and Wunsch (2018) <doi:10.21314/JCR.2017.231> for auto-correlated time series.
Author: Maximilian Nagl [aut,cre], Yevhen Havrylenko [aut], Marius Pfeuffer [aut], Kevin Jakob [aut], Matthias Fischer [aut], Daniel Roesch [aut]
Maintainer: Maximilian Nagl <maximilian.nagl@ur.de>

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Package midasml updated to version 0.1.5 with previous version 0.1.4 dated 2021-04-23

Title: Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data
Description: The 'midasml' package implements estimation and prediction methods for high-dimensional mixed-frequency (MIDAS) time-series and panel data regression models. The regularized MIDAS models are estimated using orthogonal (e.g. Legendre) polynomials and sparse-group LASSO (sg-LASSO) estimator. For more information on the 'midasml' approach see Babii, Ghysels, and Striaukas (2021, JBES forthcoming) <doi:10.1080/07350015.2021.1899933>. The package is equipped with the fast implementation of the sg-LASSO estimator by means of proximal block coordinate descent. High-dimensional mixed frequency time-series data can also be easily manipulated with functions provided in the package.
Author: Jonas Striaukas [cre, aut], Andrii Babii [aut], Eric Ghysels [aut], Alex Kostrov [ctb] (Contributions to analytical gradients for non-linear low-dimensional MIDAS estimation code)
Maintainer: Jonas Striaukas <jonas.striaukas@gmail.com>

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Package BayesSUR updated to version 2.0-0 with previous version 1.2-4 dated 2020-12-08

Title: Bayesian Seemingly Unrelated Regression
Description: Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2020) <doi:10.1101/467019>, and the software paper is in Zhao et al. (2021) <arXiv:2104.14008>.
Author: Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [ctb]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

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Package xslt updated to version 1.4.3 with previous version 1.4.2 dated 2020-05-17

Title: Extensible Style-Sheet Language Transformations
Description: An extension for the 'xml2' package to transform XML documents by applying an 'xslt' style-sheet.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package quantregGrowth updated to version 1.2-0 with previous version 1.1-0 dated 2021-03-27

Title: Growth Charts via Smooth Regression Quantiles with Automatic Smoothness Estimation and Additive Terms
Description: Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms via B-splines with L1-norm difference penalties. The smoothing parameters are estimated as part of the model fitting. Monotonicity and concavity constraints on the fitted curves are allowed. See Muggeo, Sciandra, Tomasello and Calvo (2013) <doi:10.1007/s10651-012-0232-1> and <doi:10.13140/RG.2.2.12924.85122> for some code examples. Smoothing parameter selection with additive terms is discussed in Muggeo and others (2020) <doi:10.1177/1471082X20929802>.
Author: Vito M. R. Muggeo [aut, cre] (<https://orcid.org/0000-0002-3386-4054>)
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package pdftools updated to version 3.0.0 with previous version 2.3.1 dated 2020-05-22

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package svSocket updated to version 1.0.2 with previous version 1.0.1 dated 2020-11-11

Title: 'SciViews' - Socket Server
Description: Implements a socket server allowing to connect clients to R.
Author: Philippe Grosjean [aut, cre] (<https://orcid.org/0000-0002-2694-9471>), Matthew Dowle [ctb]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package spant updated to version 1.12.0 with previous version 1.11.0 dated 2021-03-27

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] (<https://orcid.org/0000-0002-2089-3956>), Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

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Package clipp updated to version 1.0.0 with previous version 0.1.0 dated 2020-07-06

Title: Calculating Likelihoods by Pedigree Paring
Description: A fast and general implementation of the Elston-Stewart algorithm that can calculate the likelihoods of large and complex pedigrees. References for the Elston-Stewart algorithm are Elston & Stewart (1971) <doi:10.1159/000152448>, Lange & Elston (1975) <doi:10.1159/000152714> and Cannings et al. (1978) <doi:10.2307/1426718>.
Author: James Dowty [aut, cre], Kevin Wong [aut]
Maintainer: James Dowty <jgdowty@gmail.com>

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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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Package palr updated to version 0.3.0 with previous version 0.2.0 dated 2020-01-30

Title: Colour Palettes for Data
Description: Colour palettes for data, based on some well known public data sets. Includes helper functions to map absolute values to known palettes, and capture the work of image colour mapping as raster data sets.
Author: Michael D. Sumner [aut, cre], Abigael Proctor [ctb] (Named the package), Tomas Remenyi [ctb] (Provided colours for element_pal), R Core Team and contributors worldwide [ctb] (source code of image.default)
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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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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Package galah updated to version 1.1.0 with previous version 1.0.0 dated 2021-04-06

Title: Atlas of Living Australia (ALA) Data and Resources in R
Description: The Atlas of Living Australia ('ALA') provides tools to enable users of biodiversity information to find, access, combine and visualise data on Australian plants and animals; these have been made available from <https://ala.org.au/>. 'galah' provides a subset of the tools to be directly used within R. It enables the R community to directly access data and resources hosted by the 'ALA'.
Author: Matilda Stevenson [aut, cre], Martin Westgate [aut], Peggy Newman [aut]
Maintainer: Matilda Stevenson <matilda.stevenson@csiro.au>

Diff between galah versions 1.0.0 dated 2021-04-06 and 1.1.0 dated 2021-05-05

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Package dextergui updated to version 0.2.3 with previous version 0.2.2 dated 2020-02-20

Title: A Graphical User Interface for Dexter
Description: Classical Test and Item analysis, Item Response analysis and data management for educational and psychological tests.
Author: jesse koops [aut, cre], Eva de Schipper [aut], Ivailo Partchev [aut, ctb], Gunter Maris [aut, ctb], Timo Bechger [aut, ctb], Gareth Watts [cph] (author of jquery.sparkline), Hakim El Hattab [cph] (author of zoom.js)
Maintainer: jesse koops <jesse.koops@cito.nl>

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Package bioC.logs updated to version 1.2 with previous version 1.1 dated 2020-02-13

Title: BioConductor Package Downloads Stats
Description: Download stats reported from the BioConductor.org stats website.
Author: Marcelo Ponce [aut, cre]
Maintainer: Marcelo Ponce <mponce@scinet.utoronto.ca>

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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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Package BaTFLED3D (with last version 0.2.11) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-10-06 0.2.11
2017-04-02 0.2.1
2017-02-12 0.1.7

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Package tensorsign (with last version 0.1.0) was removed from CRAN

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2021-02-08 0.1.0

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Package CoMiRe (with last version 0.7) was removed from CRAN

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2020-12-21 0.7

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Package TensorClustering (with last version 1.0.1) was removed from CRAN

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2021-04-09 1.0.1

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Package rTensor (with last version 1.4.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-03-22 1.4.1
2018-12-04 1.4
2015-12-14 1.3
2014-11-11 1.2
2014-04-08 1.1
2014-01-27 1.0

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Package NonpModelCheck (with last version 3.0) was removed from CRAN

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2017-04-27 3.0
2015-10-10 2.0
2012-09-22 1.0

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Package TRES (with last version 1.1.3) was removed from CRAN

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2020-10-16 1.1.3
2020-07-23 1.1.2
2020-02-05 1.1.1
2019-11-17 1.1.0
2019-10-22 1.0.0
2018-11-26 0.1.0

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Package ttTensor (with last version 0.99.2) was removed from CRAN

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2019-03-06 0.99.2

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Package nnTensor (with last version 1.0.5) was removed from CRAN

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2020-06-04 1.0.5
2020-04-20 1.0.4
2019-10-25 1.0.2
2019-08-06 1.0.1
2019-07-30 1.0.0
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Package tensorordinal (with last version 0.2.0) was removed from CRAN

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2020-12-13 0.2.0
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Package mgss (with last version 1.1) was removed from CRAN

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2021-04-04 1.1
2021-01-08 1.0

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Package strm updated to version 0.1.2 with previous version 0.1.1 dated 2020-11-02

Title: Spatio-Temporal Regression Modeling
Description: Implements a spatio-temporal regression model based on Chi, G. and Zhu, J. (2019) Spatial Regression Models for the Social Sciences <isbn:9781544302072>. The approach here fits a spatial error model while incorporating a temporally lagged response variable and temporally lagged explanatory variables. This package builds on the errorsarlm() function from the spatialreg package.
Author: Maria Kamenetsky [aut, cre], Guangqing Chi [aut], Jun Zhu [aut]
Maintainer: Maria Kamenetsky <maria.kamenetsky@gmail.com>

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Package sccore updated to version 0.1.3 with previous version 0.1.2 dated 2021-02-23

Title: Core Utilities for Single-Cell RNA-Seq
Description: Core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with differential expression (DE) matrices and count matrices, a collection of functions for manipulating and plotting data via 'ggplot2', and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a UMAP <doi:10.21105/joss.00861>, collapsing vertices of each cluster in the graph, and propagating graph labels.
Author: Viktor Petukhov [aut], Ramus Rydbirk [aut], Peter Kharchenko [aut], Evan Biederstedt [aut, cre]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

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Package iNZightPlots updated to version 2.13.0 with previous version 2.12.6 dated 2021-02-11

Title: Graphical Tools for Exploring Data with 'iNZight'
Description: Simple plotting function(s) for exploratory data analysis with flexible options allowing for easy plot customisation. The goal is to make it easy for beginners to start exploring a dataset through simple R function calls, as well as provide a similar interface to summary statistics and inference information. Includes functionality to generate interactive HTML-driven graphs. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions.
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>), Yu Han Soh [aut], Daniel Barnett [aut]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

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Package DEoptim updated to version 2.2-6 with previous version 2.2-5 dated 2020-02-23

Title: Global Optimization by Differential Evolution
Description: Implements the Differential Evolution algorithm for global optimization of a real-valued function of a real-valued parameter vector as described in Mullen et al. (2011) <doi:10.18637/jss.v040.i06>.
Author: David Ardia [aut] (<https://orcid.org/0000-0003-2823-782X>), Katharine Mullen [aut, cre], Brian Peterson [aut], Joshua Ulrich [aut], Kris Boudt [ctb]
Maintainer: Katharine Mullen <mullenkate@gmail.com>

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Package BRETIGEA updated to version 1.0.3 with previous version 1.0.0 dated 2018-09-30

Title: Brain Cell Type Specific Gene Expression Analysis
Description: Analysis of relative cell type proportions in bulk gene expression data. Provides a well-validated set of brain cell type-specific marker genes derived from multiple types of experiments, as described in McKenzie (2018) <doi:10.1038/s41598-018-27293-5>. For brain tissue data sets, there are marker genes available for astrocytes, endothelial cells, microglia, neurons, oligodendrocytes, and oligodendrocyte precursor cells, derived from each of human, mice, and combination human/mouse data sets. However, if you have access to your own marker genes, the functions can be applied to bulk gene expression data from any tissue. Also implements multiple options for relative cell type proportion estimation using these marker genes, adapting and expanding on approaches from the 'CellCODE' R package described in Chikina (2015) <doi:10.1093/bioinformatics/btv015>. The number of cell type marker genes used in a given analysis can be increased or decreased based on your preferences and the data set. Finally, provides functions to use the estimates to adjust for variability in the relative proportion of cell types across samples prior to downstream analyses.
Author: Andrew McKenzie [aut, cre], Minghui Wang [aut], Bin Zhang [aut]
Maintainer: Andrew McKenzie <amckenz@gmail.com>

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