Mon, 14 Dec 2020

Package krige updated to version 0.6.1 with previous version 0.5.7 dated 2020-09-22

Title: Geospatial Kriging with Metropolis Sampling
Description: Estimates kriging models for geographical point-referenced data. Method is described in Gill (2020) <doi:10.1177/1532440020930197>.
Author: Jason S. Byers [aut, cre], Le Bao [aut], Jamie Carson [aut], Jeff Gill [aut]
Maintainer: Jason S. Byers <jaybyers55@gmail.com>

Diff between krige versions 0.5.7 dated 2020-09-22 and 0.6.1 dated 2020-12-14

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Package spam updated to version 2.6-0 with previous version 2.5-1 dated 2019-12-12

Title: SPArse Matrix
Description: Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
Author: Reinhard Furrer [aut, cre] (<https://orcid.org/0000-0002-6319-2332>), Florian Gerber [aut] (<https://orcid.org/0000-0001-8545-5263>), Roman Flury [aut] (<https://orcid.org/0000-0002-0349-8698>), Daniel Gerber [ctb], Kaspar Moesinger [ctb], Youcef Saad [ctb] (SPARSEKIT http://www-users.cs.umn.edu/~saad/software/SPARSKIT/), Esmond G. Ng [ctb] (Fortran Cholesky routines), Barry W. Peyton [ctb] (Fortran Cholesky routines), Joseph W.H. Liu [ctb] (Fortran Cholesky routines), Alan D. George [ctb] (Fortran Cholesky routines), Lehoucq B. Rich [ctb] (ARPACK), Maschhoff Kristi [ctb] (ARPACK), Sorensen C. Danny [ctb] (ARPACK), Yang Chao [ctb] (ARPACK)
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

Diff between spam versions 2.5-1 dated 2019-12-12 and 2.6-0 dated 2020-12-14

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Package HLMdiag updated to version 0.4.0 with previous version 0.3.1 dated 2015-12-12

Title: Diagnostic Tools for Hierarchical (Multilevel) Linear Models
Description: A suite of diagnostic tools for hierarchical (multilevel) linear models. The tools include not only leverage and traditional deletion diagnostics (Cook's distance, covratio, covtrace, and MDFFITS) but also convenience functions and graphics for residual analysis. Models can be fit using either lmer in the 'lme4' package or lme in the 'nlme' package.
Author: Adam Loy [cre, aut], Jaylin Lowe [aut], Jack Moran [aut]
Maintainer: Adam Loy <loyad01@gmail.com>

Diff between HLMdiag versions 0.3.1 dated 2015-12-12 and 0.4.0 dated 2020-12-14

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Package TVMM updated to version 3.2.1 with previous version 3.2 dated 2020-10-07

Title: Multivariate Tests for the Vector of Means
Description: This is a statistical tool interactive that provides multivariate statistical tests that are more powerful than traditional Hotelling T2 test and LRT (likelihood ratio test) for the vector of normal mean populations with and without contamination and non-normal populations (Henrique J. P. Alves & Daniel F. Ferreira (2019) <DOI: 10.1080/03610918.2019.1693596>).
Author: Henrique Jose de Paula Alves [aut, cre], Ben Deivide de Oliveira Batista [ctb], Daniel Furtado Ferreira [aut]
Maintainer: Henrique Jose de Paula Alves <jpahenrique@gmail.com>

Diff between TVMM versions 3.2 dated 2020-10-07 and 3.2.1 dated 2020-12-14

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Package tidycensus updated to version 0.11 with previous version 0.10.2 dated 2020-09-28

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to the decennial US Census and American Community Survey APIs and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for all Census geographies.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tidycensus versions 0.10.2 dated 2020-09-28 and 0.11 dated 2020-12-14

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Package spam64 updated to version 2.6-0 with previous version 2.5-1 dated 2019-12-12

Title: 64-Bit Extension of the SPArse Matrix R Package 'spam'
Description: Provides the Fortran code of the R package 'spam' with 64-bit integers. Loading this package together with the R package spam enables the sparse matrix class spam to handle huge sparse matrices with more than 2^31-1 non-zero elements. Documentation is provided in Gerber, Moesinger and Furrer (2017) <doi:10.1016/j.cageo.2016.11.015>.
Author: Reinhard Furrer [aut, cre] (<https://orcid.org/0000-0002-6319-2332>), Florian Gerber [aut] (<https://orcid.org/0000-0001-8545-5263>), Roman Flury [aut] (<https://orcid.org/0000-0002-0349-8698>), Daniel Gerber [ctb], Kaspar Moesinger [ctb], Youcef Saad [ctb] (SPARSEKIT http://www-users.cs.umn.edu/~saad/software/SPARSKIT/), Esmond G. Ng [ctb] (Fortran Cholesky routines), Barry W. Peyton [ctb] (Fortran Cholesky routines), Joseph W.H. Liu [ctb] (Fortran Cholesky routines), Alan D. George [ctb] (Fortran Cholesky routines), Lehoucq B. Rich [ctb] (ARPACK), Maschhoff Kristi [ctb] (ARPACK), Sorensen C. Danny [ctb] (ARPACK), Yang Chao [ctb] (ARPACK)
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

Diff between spam64 versions 2.5-1 dated 2019-12-12 and 2.6-0 dated 2020-12-14

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Package RHRV updated to version 4.2.6 with previous version 4.2.5 dated 2019-10-30

Title: Heart Rate Variability Analysis of ECG Data
Description: Allows users to import data files containing heartbeat positions in the most broadly used formats, to remove outliers or points with unacceptable physiological values present in the time series, to plot HRV data, and to perform time domain, frequency domain and nonlinear HRV analysis. See Garcia et al. (2017) <DOI:10.1007/978-3-319-65355-6>.
Author: Leandro Rodriguez-Linares [aut, cre], Xose Vila [aut], Maria Jose Lado [aut], Arturo Mendez [aut], Abraham Otero [aut], Constantino Antonio Garcia [aut], Matti Lassila [ctb]
Maintainer: Leandro Rodriguez-Linares <leandro@uvigo.es>

Diff between RHRV versions 4.2.5 dated 2019-10-30 and 4.2.6 dated 2020-12-14

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Package magclass updated to version 5.15.6 with previous version 5.7.3 dated 2020-03-02

Title: Data Class and Tools for Handling Spatial-Temporal Data
Description: Data class for increased interoperability working with spatial- temporal data together with corresponding functions and methods (conversions, basic calculations and basic data manipulation). The class distinguishes between spatial, temporal and other dimensions to facilitate the development and interoperability of tools build for it. Additional features are name-based addressing of data and internal consistency checks (e.g. checking for the right data order in calculations).
Author: Jan Philipp Dietrich [aut, cre], Benjamin Leon Bodirsky [aut], Markus Bonsch [aut], Florian Humpenoeder [aut], Stephen Bi [aut], Kristine Karstens [aut], Lavinia Baumstark [ctb], Christoph Bertram [ctb], Anastasis Giannousakis [ctb], David Klein [ctb], Ina Neher [ctb], Michaja Pehl [ctb], Anselm Schultes [ctb], Miodrag Stevanovic [ctb], Xiaoxi Wang [ctb], Felicitas Beier [ctb]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>

Diff between magclass versions 5.7.3 dated 2020-03-02 and 5.15.6 dated 2020-12-14

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Package rmarkdown updated to version 2.6 with previous version 2.5 dated 2020-10-21

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] (<https://orcid.org/0000-0003-3925-190X>), Andrew Dunning [ctb] (<https://orcid.org/0000-0003-0464-5036>), Atsushi Yasumoto [ctb, cph] (<https://orcid.org/0000-0002-8335-495X>, Number sections Lua filter), Barret Schloerke [ctb], Christophe Dervieux [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Jeff Allen [ctb], JooYoung Seo [ctb] (<https://orcid.org/0000-0002-4064-6012>), Malcolm Barrett [ctb], Rob Hyndman [ctb], Romain Lesur [ctb], Roy Storey [ctb], Ruben Arslan [ctb], Sergio Oller [ctb], RStudio, PBC [cph], jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/rmd/h/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/rmd/h/jqueryui-AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), Greg Franko [ctb, cph] (tocify library), John MacFarlane [ctb, cph] (Pandoc templates), Google, Inc. [ctb, cph] (ioslides library), Dave Raggett [ctb] (slidy library), W3C [cph] (slidy library), Dave Gandy [ctb, cph] (Font-Awesome), Ben Sperry [ctb] (Ionicons), Drifty [cph] (Ionicons), Aidan Lister [ctb, cph] (jQuery StickyTabs), Benct Philip Jonsson [ctb, cph] (pagebreak Lua filter), Albert Krewinkel [ctb, cph] (pagebreak Lua filter)
Maintainer: Yihui Xie <xie@yihui.name>

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More information about rmarkdown at CRAN
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Package matchingR updated to version 1.3.2 with previous version 1.3.1 dated 2020-12-07

Title: Matching Algorithms in R and C++
Description: Computes matching algorithms quickly using Rcpp. Implements the Gale-Shapley Algorithm to compute the stable matching for two-sided markets, such as the stable marriage problem and the college-admissions problem. Implements Irving's Algorithm for the stable roommate problem. Implements the top trading cycle algorithm for the indivisible goods trading problem.
Author: Jan Tilly, Nick Janetos
Maintainer: Jan Tilly <jantilly@gmail.com>

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Package relMix updated to version 1.3.3 with previous version 1.3.2 dated 2020-11-06

Title: Relationship Inference for DNA Mixtures
Description: Makes relationship inference involving DNA mixtures with unknown profiles.
Author: Guro Dorum [aut], Elias Hernandis [ctb, cre], Navreet Kaur [ctb], Thore Egeland [ctb]
Maintainer: Elias Hernandis <eliashernandis@gmail.com>

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Package leaflet.multiopacity updated to version 0.1.1 with previous version 0.1.0 dated 2020-11-30

Title: Leaflet Multiple Opacity Controls for R
Description: Extends Leaflet for R by adding widget to control opacity of multiple layers.
Author: Vinícius Zendron [aut], Meantrix [cre, cph], Yasunori Kirimoto [ctb, cph] (Leaflet.Control.Opacity JavaScript library)
Maintainer: Meantrix <dev@meantrix.com>

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Package asymptor updated to version 1.0 with previous version 0.2 dated 2020-10-22

Title: Estimate Asymptomatic Cases via Capture/Recapture Methods
Description: Estimate the lower and upper bound of asymptomatic cases in an epidemic using the capture/recapture methods from Böhning et al. (2020) <doi:10.1016/j.ijid.2020.06.009> and Rocchetti et al. (2020) <doi:10.1101/2020.07.14.20153445>.
Author: Hugo Gruson [cre, aut, cph] (<https://orcid.org/0000-0002-4094-1476>)
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

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Package retrosheet updated to version 1.1.3 with previous version 1.1.2 dated 2020-05-15

Title: Import Professional Baseball Data from 'Retrosheet'
Description: A collection of tools to import and structure the (currently) single-season event, game-log, roster, and schedule data available from <https://www.retrosheet.org>. In particular, the event (a.k.a. play-by-play) files can be especially difficult to parse. This package does the parsing on those files, returning the requested data in the most practical R structure to use for sabermetric or other analyses.
Author: Colin Douglas [aut, cre, cph], Richard Scriven [aut, cph]
Maintainer: Colin Douglas <colin@douglas.science>

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Package hermiter updated to version 2.0.0 with previous version 1.0.0 dated 2020-09-10

Title: Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Spearman's Correlation (Bivariate)
Description: Facilitates estimation of full univariate and bivariate probability density functions and cumulative distribution functions along with full quantile functions (univariate) and Spearman's rank correlation (bivariate) using Hermite series based estimators. These estimators are particularly useful in the sequential setting (both stationary and non-stationary) and one-pass batch estimation setting for large data sets. Based on: Stephanou, Michael, Varughese, Melvin and Macdonald, Iain. "Sequential quantiles via Hermite series density estimation." Electronic Journal of Statistics 11.1 (2017): 570-607 <doi:10.1214/17-EJS1245>, Stephanou, Michael and Varughese, Melvin. "On the properties of Hermite series based distribution function estimators." Metrika (2020) <doi:10.1007/s00184-020-00785-z> and Stephanou, Michael and Varughese, Melvin. "Sequential Estimation of Nonparametric Correlation using Hermite Series Estimators." arXiv Preprint (2020) <arXiv:2012.06287>.
Author: Michael Stephanou [aut, cre], Melvin Varughese [ctb]
Maintainer: Michael Stephanou <michael.stephanou@gmail.com>

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New package quanteda.textplots with initial version 0.90
Package: quanteda.textplots
Title: Plots for the Quantitative Analysis of Textual Data
Version: 0.90
Authors@R: c( person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role = c("cre", "aut", "cph"), comment = c(ORCID = "0000-0002-0797-564X")), person("Kohei", "Watanabe", email = "watanabe.kohei@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0001-6519-5265")), person("Haiyan", "Wang", email = "whyinsa@yahoo.com", role = "aut", comment = c(ORCID = "0000-0003-4992-4311")), person("Adam", "Obeng", email = "quanteda@binaryeagle.com", role = "aut", comment = c(ORCID = "0000-0002-2906-4775")), person("Stefan", "Müller", email = "mullers@tcd.ie", role = "aut", comment = c(ORCID = "0000-0002-6315-4125")), person("Akitaka", "Matsuo", email = "a.matsuo@lse.ac.uk", role = "aut", comment = c(ORCID = "0000-0002-3323-6330")), person("Ian", "Fellows", email = "ian@fellstat.com", role = "cph", comment = "authored wordcloud C source code (modified)"), person("European Research Council", role = "fnd", comment = "ERC-2011-StG 283794-QUANTESS") )
Description: Plotting functions for visualising textual data. Extends 'quanteda' and related packages with plot methods designed specifically for text data, textual statistics, and models fit to textual data. Plot types include word clouds, lexical dispersion plots, scaling plots, network visualisations, and word 'keyness' plots.
License: GPL-3
Imports: quanteda, quanteda.textmodels, quanteda.textstats, data.table, extrafont, ggplot2, ggrepel, grid, sna, igraph, Matrix, methods, network, RColorBrewer, Rcpp (>= 0.12.12), stringi
LinkingTo: Rcpp
Suggests: rmarkdown, spelling, testthat, knitr
Encoding: UTF-8
LazyData: true
Language: en-GB
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-12-11 08:21:12 UTC; kbenoit
Author: Kenneth Benoit [cre, aut, cph] (<https://orcid.org/0000-0002-0797-564X>), Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>), Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>), Adam Obeng [aut] (<https://orcid.org/0000-0002-2906-4775>), Stefan Müller [aut] (<https://orcid.org/0000-0002-6315-4125>), Akitaka Matsuo [aut] (<https://orcid.org/0000-0002-3323-6330>), Ian Fellows [cph] (authored wordcloud C source code (modified)), European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Repository: CRAN
Date/Publication: 2020-12-14 11:20:02 UTC

More information about quanteda.textplots at CRAN
Permanent link

New package postcards with initial version 0.1.0
Package: postcards
Title: Create Beautiful, Simple Personal Websites
Version: 0.1.0
Authors@R: person(given = "Sean", family = "Kross", role = c("aut", "cre"), email = "sean@seankross.com", comment = c(ORCID = "0000-0001-5215-0316"))
Description: A collection of R Markdown templates for creating simple and easy to personalize single page websites.
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: utils, rmarkdown
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-12-11 06:28:20 UTC; sean
Author: Sean Kross [aut, cre] (<https://orcid.org/0000-0001-5215-0316>)
Maintainer: Sean Kross <sean@seankross.com>
Repository: CRAN
Date/Publication: 2020-12-14 11:20:06 UTC

More information about postcards at CRAN
Permanent link

Package tvthemes updated to version 1.1.1 with previous version 1.1.0 dated 2019-10-31

Title: TV Show Themes and Color Palettes for 'ggplot2' Graphics
Description: Contains various 'ggplot2' themes and color palettes based on TV shows such as 'Game of Thrones', 'Brooklyn Nine-Nine', 'Avatar: The Last Airbender', 'Spongebob Squarepants', and more.
Author: Ryo Nakagawara [aut, cre]
Maintainer: Ryo Nakagawara <ryonakagawara@gmail.com>

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 tests/testthat/test-thelastairbender.R |   18 +++---
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New package SUNGEO with initial version 0.2.0
Package: SUNGEO
Type: Package
Title: Sub-National Geospatial Data Archive: Geoprocessing Toolkit
Version: 0.2.0
Date: 2020-12-09
Author: Jason Byers, Marty Davidson, Yuri M. Zhukov
Maintainer: Yuri M. Zhukov <zhukov@umich.edu>
Description: Tools for integrating spatially-misaligned GIS datasets. Part of the Sub-National Geospatial Data Archive System (<https://www.nsf.gov/awardsearch/showAward?AWD_ID=1925693&HistoricalAwards=false>).
URL: <https://github.com/zhukovyuri/SUNGEO>
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: sf,data.table,dplyr,RCurl,jsonlite,raster,stats,methods,purrr,udunits2,RANN,cartogram,fasterize,packcircles,rmapshaper,sp,spdep,Rcpp,httr,rlang
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-12-11 14:39:28 UTC; zhukov
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2020-12-14 10:10:05 UTC

More information about SUNGEO at CRAN
Permanent link

New package PNSIBGE with initial version 0.1.0
Package: PNSIBGE
Type: Package
Title: Downloading, Reading and Analysing PNS Microdata
Version: 0.1.0
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 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 analyses must be made using package 'survey'.
Depends: R (>= 3.2.0)
Imports: survey, readr, dplyr, magrittr, RCurl, utils, timeDate, readxl, tibble
Suggests: tidyverse, convey
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.1
NeedsCompilation: no
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>
Packaged: 2020-12-11 17:12:14 UTC; gabriel.assuncao
Repository: CRAN
Date/Publication: 2020-12-14 10:20:03 UTC

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Package HardyWeinberg updated to version 1.7.0 with previous version 1.6.9 dated 2020-12-08

Title: Statistical Tests and Graphics for Hardy-Weinberg Equilibrium
Description: Contains tools for exploring Hardy-Weinberg equilibrium (Hardy, 1908; Weinberg, 1908) <doi:10.1126/science.28.706.49> for bi and multi-allelic genetic marker data. All classical tests (chi-square, exact, likelihood-ratio and permutation tests) with bi-allelic variants are included in the package, as well as functions for power computation and for the simulation of marker data under equilibrium and disequilibrium. Routines for dealing with markers on the X-chromosome are included (Graffelman & Weir, 2016) <doi: 10.1038/hdy.2016.20>, including Bayesian procedures. Some exact and permutation procedures also work with multi-allelic variants. Special test procedures that jointly address Hardy-Weinberg equilibrium and equality of allele frequencies in both sexes are supplied, for the bi and multi-allelic case. Functions for testing equilibrium in the presence of missing data by using multiple imputation are also provided. Implements several graphics for exploring the equilibrium status of a large set of bi-allelic markers: ternary plots with acceptance regions, log-ratio plots and Q-Q plots.
Author: Jan Graffelman [aut, cre], Christopher Chang [ctb], Xavi Puig [ctb], Jan Wigginton [ctb], Leonardo Ortoleva [ctb], William R. Engels [ctb]
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>

Diff between HardyWeinberg versions 1.6.9 dated 2020-12-08 and 1.7.0 dated 2020-12-14

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New package biClassify with initial version 1.0
Package: biClassify
Type: Package
Title: Binary Classification Using Extensions of Discriminant Analysis
Version: 1.0
Date: 2020-12-11
Authors@R: c( person("Alexander F.", "Lapanowski", email = "aflapan@gmail.com", role = c("aut", "cre")), person("Irina", "Gaynanova", email = "irinag@stat.tamu.edu", role = "aut"))
Maintainer: Alexander F. Lapanowski <aflapan@gmail.com>
Description: Implements methods for sample size reduction within Linear and Quadratic Discriminant Analysis in Lapanowski and Gaynanova (2020) <arXiv:2005.03858>. Also includes methods for non-linear discriminant analysis with simultaneous sparse feature selection in Lapanowski and Gaynanova (2019) PMLR 89:1704-1713.
License: GPL-3
Imports: Rcpp (>= 1.0.1), Matrix, stats, fields, MASS, datasets, mvtnorm, expm, DAAG
Depends: R (>= 2.10)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 6.1.1
LazyData: true
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-12-11 14:35:09 UTC; aflap
Author: Alexander F. Lapanowski [aut, cre], Irina Gaynanova [aut]
Repository: CRAN
Date/Publication: 2020-12-14 10:10:02 UTC

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Package restlos (with last version 0.2-2) was removed from CRAN

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

2015-08-11 0.2-2
2014-10-20 0.1-3

Permanent link
Package text updated to version 0.9.10 with previous version 0.9.0 dated 2020-11-23

Title: Analyses of Text using Natural Language Processing and Machine Learning
Description: Transforms text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Author: Oscar Kjell [aut, cre] (<https://orcid.org/0000-0002-2728-6278>), Salvatore Giorgi [aut] (<https://orcid.org/0000-0001-7381-6295>), Andrew Schwartz [aut] (<https://orcid.org/0000-0002-6383-3339>)
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

Diff between text versions 0.9.0 dated 2020-11-23 and 0.9.10 dated 2020-12-14

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Package sccore updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-30

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: Peter Kharchenko [aut], Viktor Petukhov [aut], Ramus Rydbirk [aut], Evan Biederstedt [aut, cre]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

Diff between sccore versions 0.1.0 dated 2020-09-30 and 0.1.1 dated 2020-12-14

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New package rstac with initial version 0.9.0
Package: rstac
Title: Client Library for SpatioTemporal Asset Catalog
Version: 0.9.0
Authors@R: c(person("Brazil Data Cube Team", email = "brazildatacube@inpe.br", role = c("cre", "aut")), person(given = "National Institute for Space Research (INPE)", role = c("cph")))
Description: Provides functions to access, search and download spacetime earth observation data via SpatioTemporal Asset Catalog (STAC). This package supports the version 0.8.1 or higher of the STAC specification (<http://stacspec.org>).
License: MIT + file LICENSE
URL: https://github.com/brazil-data-cube/rstac
BugReports: https://github.com/brazil-data-cube/rstac/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.2)
Imports: httr, crayon, utils, magrittr, jsonlite
Suggests: covr, testthat, vcr
NeedsCompilation: no
Packaged: 2020-12-10 18:06:53 UTC; rstudio
Author: Brazil Data Cube Team [cre, aut], National Institute for Space Research (INPE) [cph]
Maintainer: Brazil Data Cube Team <brazildatacube@inpe.br>
Repository: CRAN
Date/Publication: 2020-12-14 09:10:03 UTC

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Package N2R updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-29

Title: Fast and Scalable Approximate k-Nearest Neighbor Search Methods using 'N2' Library
Description: Implements methods to perform fast approximate K-nearest neighbor search on input matrix. Algorithm based on the 'N2' implementation of an approximate nearest neighbor search using hierarchical Navigable Small World (NSW) graphs. The original algorithm is described in "Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs", Y. Malkov and D. Yashunin, <doi:10.1109/TPAMI.2018.2889473>, <arXiv:1603.09320>.
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], Dirk Eddelbuettel [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

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Package MortalityTables updated to version 2.0.2 with previous version 2.0.1 dated 2020-09-07

Title: A Framework for Various Types of Mortality / Life Tables
Description: Classes to implement and plot cohort life tables for actuarial calculations. In particular, birth-year dependent mortality tables using a yearly trend to extrapolate from a base year are implemented, as well as period life table, cohort life tables using an age shift, and merged life tables.
Author: Reinhold Kainhofer [aut, cre]
Maintainer: Reinhold Kainhofer <reinhold@kainhofer.com>

Diff between MortalityTables versions 2.0.1 dated 2020-09-07 and 2.0.2 dated 2020-12-14

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Package fixest updated to version 0.8.0 with previous version 0.7.1 dated 2020-10-27

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb]
Maintainer: Laurent Berge <laurent.berge@uni.lu>

Diff between fixest versions 0.7.1 dated 2020-10-27 and 0.8.0 dated 2020-12-14

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New package DSjobtracker with initial version 0.1.1
Package: DSjobtracker
Type: Package
Title: What Skills and Qualifications are Required for Data Science Related Jobs?
Version: 0.1.1
Authors@R: c( person("Thiyanga S.", "Talagala", email = "ttalagala@sjp.ac.lk", role = c("aut", "cre")), person("Janith C.", "Wanniarachchi", role = c("aut"),), person("Chammika R", " De Mel", role="ctb", comment="Data Collection, Data Wrangling"), person("Jayani ", "Lakshika", role="ctb", comment="Data Collection, Data Wrangling Dashboard"), person("Shashini", "De Silva", role="ctb", comment="Data Collection, Data Wrangling"), person("Thimani", "Dananjana", role="ctb", comment="Data Collection, Data Wrangling"), person("Hansani", "Piyumika", role="ctb", comment="Hexsticker design"), person("R", "Wijesuriya", role="ctb", comment="Data Collection"), person("M", "Fernando", role="ctb", comment="Data Collection"), person("N. N", "Madushani", role="ctb", comment="Data Collection"), person("S. N", "Madushani", role="ctb", comment="Data Collection"), person("V. P. C", "De Mel", role="ctb", comment="Data Collection"), person("O", "Ranathunga", role="ctb", comment="Data Collection"))
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
Description: Dataset containing information about job listings for data science job roles.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, tibble, tidyr, ggplot2, dplyr, magrittr, testthat, wordcloud2, forcats, viridis
VignetteBuilder: knitr
Imports: utils
NeedsCompilation: no
Packaged: 2020-12-11 13:31:02 UTC; thiyangashaminitalagala
Author: Thiyanga S. Talagala [aut, cre], Janith C. Wanniarachchi [aut], Chammika R De Mel [ctb] (Data Collection, Data Wrangling), Jayani Lakshika [ctb] (Data Collection, Data Wrangling Dashboard), Shashini De Silva [ctb] (Data Collection, Data Wrangling), Thimani Dananjana [ctb] (Data Collection, Data Wrangling), Hansani Piyumika [ctb] (Hexsticker design), R Wijesuriya [ctb] (Data Collection), M Fernando [ctb] (Data Collection), N. N Madushani [ctb] (Data Collection), S. N Madushani [ctb] (Data Collection), V. P. C De Mel [ctb] (Data Collection), O Ranathunga [ctb] (Data Collection)
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-12-14 10:00:02 UTC

More information about DSjobtracker at CRAN
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New package dataReporter with initial version 1.0.0
Package: dataReporter
Type: Package
Title: Reproducible Data Screening Checks and Report of Possible Errors
Version: 1.0.0
Date: 2020-12-10
Authors@R: c(person(given="Anne Helby", family="Petersen", email="ahpe@sund.ku.dk", role=c("aut")), person(given="Claus Thorn", family="Ekstrøm", email="ekstrom@sund.ku.dk", role=c("aut", "cre")))
Description: Data screening is an important first step of any statistical analysis. 'dataReporter' auto generates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset. See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 <doi:10.18637/jss.v090.i06> for more information.
URL: https://github.com/ekstroem/dataReporter
BugReports: https://github.com/ekstroem/dataReporter/issues
Imports: ggplot2, gridExtra, haven, htmltools, magrittr, methods, pander, rmarkdown (>= 1.10), robustbase (>= 0.93-2), stringi, whoami
Suggests: knitr, testthat
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
SystemRequirements: pandoc (>= 2.0; https://pandoc.org), git, whoami
Encoding: UTF-8
LazyData: true
ByteCompile: true
License: GPL-2
RoxygenNote: 7.1.1
Collate: 'aggregateForBarplot.R' 'aggregateForHistogram.R' 'allCheckFunctions.R' 'allClasses.R' 'allSummaryFunctions.R' 'allVisualFunctions.R' 'allXFunctions.R' 'makeXFunction.R' 'visualFunction.R' 'basicVisual.R' 'summaryFunction.R' 'centralValue.R' 'check.R' 'checkResult.R' 'messageGenerator.R' 'checkFunction.R' 'identifyMissing.R' 'minMax.R' 'classes.R' 'countMissing.R' 'dataReporter-package.R' 'dataReporter_as_factor.R' 'description.R' 'identifyCaseIssues.R' 'identifyLoners.R' 'identifyNums.R' 'identifyOutliers.R' 'identifyOutliersTBStyle.R' 'identifyWhitespace.R' 'isCPR.R' 'isSingular.R' 'isEmpty.R' 'isKey.R' 'isSupported.R' 'makeCodebook.R' 'makeDataReport.R' 'misc.R' 'quartiles.R' 'refCat.R' 'render.R' 'setChecks.R' 'setSummaries.R' 'setVisuals.R' 'smartNum.R' 'standardVisual.R' 'summarize.R' 'summaryResult.R' 'tableVisual.R' 'uniqueValues.R' 'unpackLabelled.R' 'utility.R' 'variableType.R' 'visualize.R'
NeedsCompilation: no
Packaged: 2020-12-11 09:43:10 UTC; cld189
Author: Anne Helby Petersen [aut], Claus Thorn Ekstrøm [aut, cre]
Maintainer: Claus Thorn Ekstrøm <ekstrom@sund.ku.dk>
Repository: CRAN
Date/Publication: 2020-12-14 09:50:06 UTC

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New package babsim.hospital with initial version 11.5.14
Package: babsim.hospital
License: GPL (>= 2)
Title: Bartz & Bartz Simulation Hospital
Type: Package
LazyLoad: yes
LazyData: true
Encoding: UTF-8
Authors@R: c( person("Thomas", "Bartz-Beielstein", role = c("aut", "cre"), email = "tbb@bartzundbartz.de", comment = c(ORCID = "0000-0002-5938-5158")), person("Frederik", "Rehbach", role = c("aut"), email = "frederik.rehbach@bartzundbartz.de", comment = c(ORCID = "0000-0003-0922-8629")), person("Eva", "Bartz", role = c("aut"), email = "eva.bartz@bartzundbartz.de"), person("Olaf", "Mersmann", role = c("aut"), email = "olafm@p-value.net", comment = c(ORCID = "0000-0002-7720-4939")), person("Martin", "Zaefferer", role = c("ctb"),email = "martin.zaefferer@bartzundbartz.de", comment = c(ORCID = "0000-0003-2372-2092")) )
Description: Implements a discrete-event simulation model for a hospital resource planning problem. The project is motivated by the challenges faced by health care institutions in the current COVID-19 pandemic. It can be used by health departments to forecast demand for intensive care beds, ventilators, and staff resources. Our modelling approach is inspired by "A novel modelling technique to predict resource requirements in critical care - a case study" (Lawton and McCooe 2019) and combines two powerful technologies: (i) discrete event simulation using the 'simmer' package and (ii) model-based optimization using 'SPOT'. Ucar I, Smeets B, Azcorra A (2019) <doi:10.18637/jss.v090.i02>. Bartz-Beielstein T, Lasarczyk C W G, Preuss M (2005) <doi:10.1109/CEC.2005.1554761>. Lawton T, McCooe M (2019) <doi:10.7861/futurehosp.6-1-17>.
URL: https://www.th-koeln.de/babsimhospital
Version: 11.5.14
Date: 2020-12-9
Depends: R (>= 3.5.0)
Imports: SPOT, data.table, dplyr, ggplot2, golem, igraph, lubridate, markovchain, methods, padr, parallel, reshape2, rvest, scales, simmer, slider, xml2
Suggests: batchtools, knitr, plotly, rpart, rpart.plot, simmer.plot, stringr, testthat, tidyverse, usethis, vctrs
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-12-10 17:43:00 UTC; bartz
Author: Thomas Bartz-Beielstein [aut, cre] (<https://orcid.org/0000-0002-5938-5158>), Frederik Rehbach [aut] (<https://orcid.org/0000-0003-0922-8629>), Eva Bartz [aut], Olaf Mersmann [aut] (<https://orcid.org/0000-0002-7720-4939>), Martin Zaefferer [ctb] (<https://orcid.org/0000-0003-2372-2092>)
Maintainer: Thomas Bartz-Beielstein <tbb@bartzundbartz.de>
Repository: CRAN
Date/Publication: 2020-12-14 09:10:14 UTC

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New package autoCovariateSelection with initial version 1.0.0
Package: autoCovariateSelection
Type: Package
Title: Automated Covariate Selection Using HDPS Algorithm
Version: 1.0.0
Author: Dennis Robert <dennis.robert.nm@gmail.com>
Maintainer: Dennis Robert <dennis.robert.nm@gmail.com>
Description: Contains functions to implement automated covariate selection using methods described in the high-dimensional propensity score (HDPS) algorithm by Schneeweiss et.al. Covariate adjustment in real-world-observational-data (RWD) is important for for estimating adjusted outcomes and this can be done by using methods such as, but not limited to, propensity score matching, propensity score weighting and regression analysis. While these methods strive to statistically adjust for confounding, the major challenge is in selecting the potential covariates that can bias the outcomes comparison estimates in observational RWD (Real-World-Data). This is where the utility of automated covariate selection comes in. The functions in this package help to implement the three major steps of automated covariate selection as described by Schneeweiss et. al elsewhere. These three functions, in order of the steps required to execute automated covariate selection are, get_candidate_covariates(), get_recurrence_covariates() and get_prioritised_covariates(). In addition to these functions, a sample real-world-data from publicly available de-identified medical claims data is also available for running examples and also for further exploration. The original article where the algorithm is described by Schneeweiss et.al. (2009) <doi:10.1097/EDE.0b013e3181a663cc> .
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/technOslerphile/autoCovariateSelection
BugReports: https://github.com/technOslerphile/autoCovariateSelection/issues
Imports: purrr, data.table
Depends: dplyr, R (>= 2.10)
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-12-11 11:14:45 UTC; root
Repository: CRAN
Date/Publication: 2020-12-14 09:50:11 UTC

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New package rminizinc with initial version 0.0.1
Package: rminizinc
Type: Package
Title: R Interface to Use 'MiniZinc'
Version: 0.0.1
Author: Akshit Achara, Lars Kotthoff, Hans W. Borchers, Guido Tack
Maintainer: Akshit Achara <acharaakshit@gmail.com>
Description: R users can use the package to solve constraint programming problems without using 'MiniZinc' directly, modify existing 'MiniZinc' models and also create their own models.
License: Mozilla Public License Version 2.0
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0), rjson
Imports: R6, checkmate, Rcpp, rlang, rlist
LinkingTo: Rcpp, testthat
Suggests: knitr, rmarkdown, testthat, stringr
VignetteBuilder: knitr
Biarch: true
NeedsCompilation: yes
Packaged: 2020-12-10 16:51:44 UTC; akshit
Repository: CRAN
Date/Publication: 2020-12-14 09:00:02 UTC

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Package rlas updated to version 1.3.8 with previous version 1.3.7 dated 2020-11-11

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://www.asprs.org/divisions-committees/lidar-division/laser-las-file-format-exchange-activities>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.3 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [aut, ctb] (Enable the support of .lax file and extra byte attributes), Martin Isenburg [cph] (Is the author of the LASlib and LASzip libraries), David Auty [ctb] (Reviewed the documentation), Pierrick Marie [ctb] (Helped to compile LASlib code in R), Tiago de Conto [ctb] (Implemented the -thin_with_voxel filter method)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between rlas versions 1.3.7 dated 2020-11-11 and 1.3.8 dated 2020-12-14

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Package ReDaMoR updated to version 0.4.3 with previous version 0.4.2 dated 2020-03-31

Title: Relational Data Modeler
Description: The aim of this package is to manipulate relational data models in R. It provides functions to create, modify and export data models in json format. It also allows importing models created with 'MySQL Workbench' (<https://www.mysql.com/products/workbench/>). These functions are accessible through a graphical user interface made with 'shiny'. Constraints such as types, keys, uniqueness and mandatory fields are automatically checked and corrected when editing a model. Finally, real data can be confronted to a model to check their compatibility.
Author: Patrice Godard
Maintainer: Patrice Godard <patrice.godard@gmail.com>

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Package pfica updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-18

Title: Penalized Independent Component Analysis for Univariate Functional Data
Description: Performs penalized independent component analysis for univariate functional data. Two alternative models are implemented, both based on the fourth order blind identification method.
Author: Marc Vidal, Ana Mª Aguilera
Maintainer: Marc Vidal <marc.vidalbadia@ugent.be>

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Package ggeffects updated to version 1.0.1 with previous version 1.0.0 dated 2020-11-29

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Sam Crawley [ctb] (<https://orcid.org/0000-0002-7847-0411>), Mattan S. Ben-Shachar [ctb] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package EpiNow2 updated to version 1.3.2 with previous version 1.3.1 dated 2020-11-22

Title: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
Description: Estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is under active development.
Author: Sam Abbott [aut, cre] (<https://orcid.org/0000-0001-8057-8037>), Joel Hellewell [aut] (<https://orcid.org/0000-0003-2683-0849>), Katharine Sherratt [aut], Katelyn Gostic [aut], Joe Hickson [aut], Hamada S. Badr [aut] (<https://orcid.org/0000-0002-9808-2344>), Michael DeWitt [aut] (<https://orcid.org/0000-0001-8940-1967>), Robin Thompson [aut], Sophie Meakin [ctb], James Munday [ctb], Nikos Bosse [ctb], Paul Mee [ctb], Peter Ellis [ctb], EpiForecasts [aut], Sebastian Funk [aut]
Maintainer: Sam Abbott <sam.abbott@lshtm.ac.uk>

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Package tinytex updated to version 0.28 with previous version 0.27 dated 2020-11-01

Title: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>), RStudio, PBC [cph], Fernando Cagua [ctb], Ethan Heinzen [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package PAC updated to version 1.1.3 with previous version 1.1.2 dated 2020-03-20

Title: Partition-Assisted Clustering and Multiple Alignments of Networks
Description: Implements partition-assisted clustering and multiple alignments of networks. It 1) utilizes partition-assisted clustering to find robust and accurate clusters and 2) discovers coherent relationships of clusters across multiple samples. It is particularly useful for analyzing single-cell data set. Please see Li et al. (2017) <doi:10.1371/journal.pcbi.1005875> for detail method description.
Author: Ye Henry Li, Dangna Li
Maintainer: Ye Henry Li <hlowl2@gmail.com>

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Package xaringan updated to version 0.19 with previous version 0.18 dated 2020-10-21

Title: Presentation Ninja
Description: Create HTML5 slides with R Markdown and the JavaScript library 'remark.js' (<https://remarkjs.com>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Alessandro Gasparini [ctb] (<https://orcid.org/0000-0002-8319-7624>), Benjie Gillam [ctb], Claus Thorn Ekstrøm [ctb], Daniel Anderson [ctb], Dawei Lang [ctb], Emi Tanaka [ctb], Garrick Aden-Buie [ctb] (<https://orcid.org/0000-0002-7111-0077>), Iñaki Ucar [ctb] (<https://orcid.org/0000-0001-6403-5550>), John Little [ctb], Joselyn Chávez [ctb] (<https://orcid.org/0000-0002-4974-4591>), Joseph Casillas [ctb], Lucy D'Agostino McGowan [ctb] (<https://orcid.org/0000-0001-7297-9359>), Malcolm Barrett [ctb] (<https://orcid.org/0000-0003-0299-5825>), Matthew Mark Strasiotto [ctb] (mstr3336), Michael Wayne Kearney [ctb], Nan-Hung Hsieh [ctb], Ole Petter Bang [ctb] (CSS in rmarkdown/templates/xaringan/resources/default.css), Patrick Schratz [ctb], Paul Klemm [ctb] (<https://orcid.org/0000-0002-5985-1737>), Paul Lemmens [ctb], Sean Lopp [ctb], Silvia Canelon [ctb] (<https://orcid.org/0000-0003-1709-1394>), Susan VanderPlas [ctb] (<https://orcid.org/0000-0002-3803-0972>), Waldir Leoncio [ctb], Yongfu Liao [ctb], Yue Jiang [ctb] (<https://orcid.org/0000-0002-9798-5517>)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xaringan versions 0.18 dated 2020-10-21 and 0.19 dated 2020-12-14

 DESCRIPTION                                                |    8 +-
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 README.md                                                  |    6 +
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 7 files changed, 51 insertions(+), 22 deletions(-)

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Package servr updated to version 0.21 with previous version 0.20 dated 2020-10-19

Title: A Simple HTTP Server to Serve Static Files or Dynamic Documents
Description: Start an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Carson Sievert [ctb], Jesse Anderson [ctb], Ramnath Vaidyanathan [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between servr versions 0.20 dated 2020-10-19 and 0.21 dated 2020-12-14

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 MD5                  |   12 ++++++------
 NEWS                 |    8 ++++++++
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 README.md            |    6 ++++--
 man/httd.Rd          |    5 +++++
 man/server_config.Rd |    6 ++++++
 7 files changed, 49 insertions(+), 18 deletions(-)

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Package PLmixed updated to version 0.1.5 with previous version 0.1.4 dated 2019-08-19

Title: Estimate (Generalized) Linear Mixed Models with Factor Structures
Description: Utilizes the 'lme4' and 'optimx' packages (previously the optim() function from 'stats') to estimate (generalized) linear mixed models (GLMM) with factor structures using a profile likelihood approach, as outlined in Jeon and Rabe-Hesketh (2012) <doi:10.3102/1076998611417628> and Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>. Factor analysis and item response models can be extended to allow for an arbitrary number of nested and crossed random effects, making it useful for multilevel and cross-classified models.
Author: Minjeong Jeon [aut], Nicholas Rockwood [aut, cre]
Maintainer: Nicholas Rockwood <nrockwood@llu.edu>

Diff between PLmixed versions 0.1.4 dated 2019-08-19 and 0.1.5 dated 2020-12-14

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 10 files changed, 71 insertions(+), 35 deletions(-)

More information about PLmixed at CRAN
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Package iNZightTools updated to version 1.10 with previous version 1.9.0 dated 2020-07-29

Title: Tools for 'iNZight'
Description: Provides a collection of wrapper functions for common variable and dataset manipulation workflows primarily 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. Additionally, many of the functions return the 'tidyverse' code used to obtain the result in an effort to bridge the gap between GUI and coding.
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>), Christoph Knopf [ctb], Akshay Gupta [ctb], Owen Jin [ctb] (Tidyverse variable/data manipulation functions), Lushi Cai [ctb], Yiwen He [ctb] (Dates/times and dataset manipulation), Daniel Barnett [ctb] (Data validation)
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

Diff between iNZightTools versions 1.9.0 dated 2020-07-29 and 1.10 dated 2020-12-14

 DESCRIPTION                         |   14 +--
 MD5                                 |   18 ++--
 R/aggregate_data.R                  |  135 ++++++++++++++++++++++++++----------
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 tests/testthat/test_smart_read.R    |    9 ++
 tests/testthat/test_survey_design.R |   65 +++++++++++++----
 10 files changed, 337 insertions(+), 91 deletions(-)

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