Fri, 18 Sep 2020

Package psychReport updated to version 1.1.1 with previous version 1.1.0 dated 2020-06-18

Title: Reproducible Reports in Psychology
Description: Helper functions for producing reports in Psychology (Reproducible Research). Provides required formatted strings (APA style) for use in 'Knitr'/'Latex' integration within *.Rnw files.
Author: Ian G Mackenzie
Maintainer: Ian G Mackenzie <ian.mackenzie@uni-tuebingen.de>

Diff between psychReport versions 1.1.0 dated 2020-06-18 and 1.1.1 dated 2020-09-18

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Package CUFF updated to version 1.7 with previous version 1.6 dated 2019-01-22

Title: Charles's Utility Function using Formula
Description: Utility functions that provides wrapper to descriptive base functions like cor, mean and table. It makes use of the formula interface to pass variables to functions. It also provides operators to concatenate (%+%), to repeat (%n%) and manage character vectors for nice display.
Author: Charles-Édouard Giguère
Maintainer: Charles-Édouard Giguère <ce.giguere@gmail.com>

Diff between CUFF versions 1.6 dated 2019-01-22 and 1.7 dated 2020-09-18

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Package emmeans updated to version 1.5.1 with previous version 1.5.0 dated 2020-08-18

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell Lenth [aut, cre, cph], Paul Buerkner [ctb], Maxime Herve [ctb], Jonathon Love [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

Diff between emmeans versions 1.5.0 dated 2020-08-18 and 1.5.1 dated 2020-09-18

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Package tmvmixnorm updated to version 1.1.1 with previous version 1.1.0 dated 2020-05-19

Title: Sampling from Truncated Multivariate Normal and t Distributions
Description: Efficient sampling of truncated multivariate (scale) mixtures of normals under linear inequality constraints is nontrivial due to the analytically intractable normalizing constant. Meanwhile, traditional methods may subject to numerical issues, especially when the dimension is high and dependence is strong. Algorithms proposed by Li and Ghosh (2015) <doi: 10.1080/15598608.2014.996690> are adopted for overcoming difficulties in simulating truncated distributions. Efficient rejection sampling for simulating truncated univariate normal distribution is included in the package, which shows superiority in terms of acceptance rate and numerical stability compared to existing methods and R packages. An efficient function for sampling from truncated multivariate normal distribution subject to convex polytope restriction regions based on Gibbs sampler for conditional truncated univariate distribution is provided. By extending the sampling method, a function for sampling truncated multivariate Student's t distribution is also developed. Moreover, the proposed method and computation remain valid for high dimensional and strong dependence scenarios. Empirical results in Li and Ghosh (2015) <doi: 10.1080/15598608.2014.996690> illustrated the superior performance in terms of various criteria (e.g. mixing and integrated auto-correlation time).
Author: Ting Fung (Ralph) Ma [cre, aut], Sujit K. Ghosh [aut], Yifang Li [aut]
Maintainer: Ting Fung (Ralph) Ma <tingfung.ma@wisc.edu>

Diff between tmvmixnorm versions 1.1.0 dated 2020-05-19 and 1.1.1 dated 2020-09-18

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Package taxize updated to version 0.9.98 with previous version 0.9.97 dated 2020-06-09

Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web 'APIs' for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Eduard Szoecs [aut], Zachary Foster [aut], Zebulun Arendsee [aut], Carl Boettiger [ctb], Karthik Ram [ctb], Ignasi Bartomeus [ctb], John Baumgartner [ctb], James O'Donnell [ctb], Jari Oksanen [ctb], Bastian Greshake Tzovaras [ctb], Philippe Marchand [ctb], Vinh Tran [ctb], Maëlle Salmon [ctb], Gaopeng Li [ctb], Matthias Grenié [ctb], rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between taxize versions 0.9.97 dated 2020-06-09 and 0.9.98 dated 2020-09-18

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More information about taxize at CRAN
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Package nls.multstart updated to version 1.2.0 with previous version 1.1.0 dated 2020-06-03

Title: Robust Non-Linear Regression using AIC Scores
Description: Non-linear least squares regression with the Levenberg-Marquardt algorithm using multiple starting values for increasing the chance that the minimum found is the global minimum.
Author: Daniel Padfield [aut, cre], Granville Matheson [aut]
Maintainer: Daniel Padfield <d.padfield@exeter.ac.uk>

Diff between nls.multstart versions 1.1.0 dated 2020-06-03 and 1.2.0 dated 2020-09-18

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Package ioanalysis updated to version 0.3.4 with previous version 0.3.3 dated 2020-07-06

Title: Input Output Analysis
Description: Calculates fundamental IO matrices (Leontief, Wassily W. (1951) <doi:10.1038/scientificamerican1051-15>); within period analysis via various rankings and coefficients (Sonis and Hewings (2006) <doi:10.1080/09535319200000013>, Blair and Miller (2009) <ISBN:978-0-521-73902-3>, Antras et al (2012) <doi:10.3386/w17819>, Hummels, Ishii, and Yi (2001) <doi:10.1016/S0022-1996(00)00093-3>); across period analysis with impact analysis (Dietzenbacher, van der Linden, and Steenge (2006) <doi:10.1080/09535319300000017>, Sonis, Hewings, and Guo (2006) <doi:10.1080/09535319600000002>); and a variety of table operators.
Author: John Wade [aut, cre], Ignacio Sarmiento-Barbieri [aut]
Maintainer: John Wade <jjpwade2@illinois.edu>

Diff between ioanalysis versions 0.3.3 dated 2020-07-06 and 0.3.4 dated 2020-09-18

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Package hutilscpp updated to version 0.5.0 with previous version 0.3.0 dated 2019-10-16

Title: Miscellaneous Functions in C++
Description: Provides utility functions that are simply, frequently used, but may require higher performance that what can be obtained from base R. Incidentally provides support for 'reverse geocoding', such as matching a point with its nearest neighbour in another array. Used as a complement to package 'hutils' by sacrificing compilation or installation time for higher running speeds. The name is a portmanteau of the author and 'Rcpp'.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

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Package metan updated to version 1.9.0 with previous version 1.8.1 dated 2020-09-10

Title: Multi Environment Trials Analysis
Description: Performs stability analysis of multi-environment trial data using parametric and non-parametric methods. Parametric methods includes Additive Main Effects and Multiplicative Interaction (AMMI) analysis by Gauch (2013) <doi:10.2135/cropsci2013.04.0241>, Ecovalence by Wricke (1965), Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang (2003) <doi:10.1201/9781420040371>, geometric adaptability index by Mohammadi & Amri (2008) <doi:10.1007/s10681-007-9600-6>, joint regression analysis by Eberhart & Russel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>, genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's (2004) method <doi:10.12702/1984-7033.v04n01a02>, power law residuals (POLAR) statistics by Doring et al. (2015) <doi:10.1016/j.fcr.2015.08.005>, scale-adjusted coefficient of variation by Doring & Reckling (2018) <doi:10.1016/j.eja.2018.06.007>, stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>, weighted average of absolute scores by Olivoto et al. (2019a) <doi:10.2134/agronj2019.03.0220>, and multi-trait stability index by Olivoto et al. (2019b) <doi:10.2134/agronj2019.03.0221>. Non-parametric methods includes superiority index by Lin & Binns (1988) <doi:10.4141/cjps88-018>, nonparametric measures of phenotypic stability by Huehn (1990) <https://link.springer.com/article/10.1007/BF00024241>, TOP third statistic by Fox et al. (1990) <doi:10.1007/BF00040364>. Functions for computing biometrical analysis such as path analysis, canonical correlation, partial correlation, clustering analysis, and tools for inspecting, manipulating, summarizing and plotting typical multi-environment trial data are also provided.
Author: Tiago Olivoto [aut, cre, cph] (<https://orcid.org/0000-0002-0241-9636>)
Maintainer: Tiago Olivoto <tiagoolivoto@gmail.com>

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Package wrMisc updated to version 1.3.1 with previous version 1.3.0 dated 2020-07-24

Title: Analyze Experimental High-Throughput (Omics) Data
Description: The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). Other functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large data-sets by combining very close values. Many times large experimental datasets need some additional filtering, adequate functions are provided. Batch reading (or writing) of sets of files and combining data to arrays is supported, too. Convenient data normalization is supported in various different modes, parameter estimation via permutations or boot-strap as well as flexible testing of multiple pair-wise combinations using the framework of 'limma' is provided, too.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

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Package specmine updated to version 3.0.2 with previous version 3.0.0 dated 2020-07-10

Title: Metabolomics and Spectral Data Analysis and Mining
Description: Provides a set of methods for metabolomics data analysis, including data loading in different formats, pre-processing, metabolite identification, univariate and multivariate data analysis, machine learning, feature selection and pathway analysis. Case studies can be found on the website: <http://bio.di.uminho.pt/metabolomicspackage/index.html>. This package suggests 'rcytoscapejs', a package not in mainstream repositories. If you need to install it, use: devtools::install_github('cytoscape/r-cytoscape.js@v0.0.7').
Author: Christopher Costa <chrisbcl@hotmail.com> [aut], Marcelo Maraschin <mtocsy@gmail.com> [aut], Miguel Rocha <mrocha@di.uminho.pt> [aut, cre], Sara Cardoso <saracardoso501@gmail.com> [aut], Telma Afonso <telma.afonso94@gmail.com> [aut], C. Beleites [cph], Jie Hao [cph]
Maintainer: Miguel Rocha <mrocha@di.uminho.pt>

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More information about specmine at CRAN
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Package soundgen updated to version 1.8.1 with previous version 1.8.0 dated 2020-08-11

Title: Sound Synthesis and Acoustic Analysis
Description: Performs parametric synthesis of sounds with harmonic and noise components such as animal vocalizations or human voice. Also offers tools for spectral analysis, audio segmentation, self-similarity matrices, modulation spectra, morphing, etc., as well as interactive web apps for manually corrected pitch tracking and formant measurement. Reference: Anikin (2019) <doi:10.3758/s13428-018-1095-7>.
Author: Andrey Anikin [aut, cre]
Maintainer: Andrey Anikin <rty.anik@rambler.ru>

Diff between soundgen versions 1.8.0 dated 2020-08-11 and 1.8.1 dated 2020-09-18

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Package singleCellHaystack updated to version 0.3.3 with previous version 0.3.2 dated 2020-07-01

Title: Finding Needles (=differentially Expressed Genes) in Haystacks (=single Cell Data)
Description: Identification of differentially expressed genes (DEGs) is a key step in single-cell transcriptomics data analysis. 'singleCellHaystack' predicts DEGs without relying on clustering of cells into arbitrary clusters. Single-cell RNA-seq (scRNA-seq) data is often processed to fewer dimensions using Principal Component Analysis (PCA) and represented in 2-dimensional plots (e.g. t-SNE or UMAP plots). 'singleCellHaystack' uses Kullback-Leibler divergence to find genes that are expressed in subsets of cells that are non-randomly positioned in a these multi-dimensional spaces or 2D representations. For the theoretical background of 'singleCellHaystack' we refer to Vandenbon and Diez (Nature Communications, 2020) <doi:10.1038/s41467-020-17900-3>.
Author: Alexis Vandenbon [aut, cre] (<https://orcid.org/0000-0003-2180-5732>), Diego Diez [aut] (<https://orcid.org/0000-0002-2325-4893>)
Maintainer: Alexis Vandenbon <alexis.vandenbon@gmail.com>

Diff between singleCellHaystack versions 0.3.2 dated 2020-07-01 and 0.3.3 dated 2020-09-18

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 singleCellHaystack-0.3.3/singleCellHaystack/NAMESPACE                                                  |    6 
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 singleCellHaystack-0.3.3/singleCellHaystack/R/haystack_clustering.R                                    |   10 +
 singleCellHaystack-0.3.3/singleCellHaystack/R/haystack_clustering_highD.R                              |   53 +++++
 singleCellHaystack-0.3.3/singleCellHaystack/R/haystack_highD.R                                         |   51 +++--
 singleCellHaystack-0.3.3/singleCellHaystack/R/haystack_visualization.R                                 |   44 ++++
 singleCellHaystack-0.3.3/singleCellHaystack/R/s3.R                                                     |   28 ++-
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New package eiCompare with initial version 3.0.0
Package: eiCompare
Type: Package
Title: Compares Ecological Inference, Goodman, Rows by Columns Estimates
Version: 3.0.0
Authors@R: c(person(given = "Loren", family = "Collingwood", role = c("aut", "cre"), email = "loren.collingwood@gmail.com", comment = c(ORCID = "0000-0002-4447-8204")), person(given = "Ari", family = "Decter-Frain", role = "aut", comment = c(ORCID = "0000-0001-9635-3334")), person(given = "Hikari", family = "Murayama", role = "aut", comment = c(ORCID = "0000-0002-4067-4734")), person(given = "Pratik", family = "Sachdeva", role = "aut", comment = c(ORCID = "0000-0002-6809-2437")), person(given = "Juandalyn", family = "Burke", role = "aut", comment = c(ORCID = "0000-0002-6345-7505")), person(given = "Scott", family = "Henderson", role = "ctb", comment = c(ORCID = "0000-0003-0624-4965")), person(given = "Spencer", family = "Wood", role = "ctb", comment = c(ORCID = "0000-0002-5794-2619")), person(given = "Matt", family = "Barreto", role = "ctb", comment = c(ORCID = "0000-0003-2423-6395")))
URL: https://github.com/RPVote/eiCompare
Description: Compares estimates from three ecological inference routines, based on King (1997) <ISBN: 0691012407>, <https://gking.harvard.edu/eicamera/kinroot.html>; King (2004) <ISBN: 0521542804>, <https://gking.harvard.edu/files/abs/ecinf04-abs.shtml>.
License: GPL-3
Depends: R (>= 3.5.0), eiPack, ei, wru
Imports: censusxy, bayestestR, coda, data.table, doParallel, dplyr, foreach, ggplot2, graphics, magrittr, mcmcse, methods, overlapping, purrr, rlang, sf, stringr, tidyr, leaflet, tidyselect
NeedsCompilation: no
Suggests: knitr, opencage, plyr, rmarkdown, reshape2, RColorBrewer, RJSONIO, testthat, tigris
RoxygenNote: 7.1.1
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2020-09-15 03:53:06 UTC; lorencollingwood
Author: Loren Collingwood [aut, cre] (<https://orcid.org/0000-0002-4447-8204>), Ari Decter-Frain [aut] (<https://orcid.org/0000-0001-9635-3334>), Hikari Murayama [aut] (<https://orcid.org/0000-0002-4067-4734>), Pratik Sachdeva [aut] (<https://orcid.org/0000-0002-6809-2437>), Juandalyn Burke [aut] (<https://orcid.org/0000-0002-6345-7505>), Scott Henderson [ctb] (<https://orcid.org/0000-0003-0624-4965>), Spencer Wood [ctb] (<https://orcid.org/0000-0002-5794-2619>), Matt Barreto [ctb] (<https://orcid.org/0000-0003-2423-6395>)
Maintainer: Loren Collingwood <loren.collingwood@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-18 15:00:02 UTC

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New package DramaAnalysis with initial version 3.0.2
Package: DramaAnalysis
Type: Package
Title: Analysis of Dramatic Texts
Version: 3.0.2
Date: 2020-09-07
Language: en-US
Authors@R: c( person("Nils", "Reiter", email="nils.reiter@ims.uni-stuttgart.de", role=c("aut", "cre"), comment=(ORCID="0000-0003-3193-6170")), person("Tim", "Strohmayer", email="st151528@stud.uni-stuttgart.de", role=c("ctb")), person("Janis", "Pagel", email="janis.pagel@ims.uni-stuttgart.de", role=c("ctb")))
Description: Analysis of preprocessed dramatic texts, with respect to literary research. The package provides functions to analyze and visualize information about characters, stage directions, the dramatic structure and the text itself. The dramatic texts are expected to be in CSV format, which can be installed from within the package, sample texts are provided. The package and the reasoning behind it are described in Reiter et al. (2017) <doi:10.18420/in2017_119>.
URL: https://github.com/quadrama/DramaAnalysis
BugReports: https://github.com/quadrama/DramaAnalysis/issues
License: GPL (>= 3)
LazyData: TRUE
Imports: stats, utils, reshape2 (>= 1.4.2), readr (>= 1.1.1), data.table (>= 1.10.4), httr (>= 1.2.1), git2r (>= 0.24.0), xml2 (>= 1.2.0), tokenizers (>= 0.2.1), stringr (>= 1.4.0)
Depends: R (>= 3.3.0)
RoxygenNote: 7.1.1
Suggests: testthat, fmsb, knitr, magrittr, highcharter, rmarkdown (>= 1.8), igraph (>= 1.1.2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-07 14:37:44 UTC; reiterns
Author: Nils Reiter [aut, cre] (0000-0003-3193-6170), Tim Strohmayer [ctb], Janis Pagel [ctb]
Maintainer: Nils Reiter <nils.reiter@ims.uni-stuttgart.de>
Repository: CRAN
Date/Publication: 2020-09-18 15:00:07 UTC

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Package stm updated to version 1.3.6 with previous version 1.3.5 dated 2019-12-17

Title: Estimation of the Structural Topic Model
Description: The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates. The package also includes tools for model selection, visualization, and estimation of topic-covariate regressions. Methods developed in Roberts et. al. (2014) <doi:10.1111/ajps.12103> and Roberts et. al. (2016) <doi:10.1080/01621459.2016.1141684>. Vignette is Roberts et. al. (2019) <doi:10.18637/jss.v091.i02>.
Author: Margaret Roberts [aut], Brandon Stewart [aut, cre], Dustin Tingley [aut], Kenneth Benoit [ctb]
Maintainer: Brandon Stewart <bms4@princeton.edu>

Diff between stm versions 1.3.5 dated 2019-12-17 and 1.3.6 dated 2020-09-18

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 stm-1.3.6/stm/man/summary.estimateEffect.Rd   |    5 
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 stm-1.3.6/stm/man/topicLasso.Rd               |   20 ++-
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New package pfica with initial version 0.1.0
Package: pfica
Version: 0.1.0
Title: Penalized Independent Component Analysis for Univariate Functional Data
Author: Marc Vidal Badia, Ana Mª Aguilera del Pino
Maintainer: Marc Vidal Badia <marc.vidalbadia@ugent.be>
Description: Performs penalized independent component analysis for univariate functional data. Two alternative models are implemented, both based on the fourth order blind identification method.
License: GPL (>= 2)
Depends: R (>= 2.10), fda
Imports: moments
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 7.1.1
Packaged: 2020-09-11 12:07:04 UTC; MVB
Date/Publication: 2020-09-18 12:20:02 UTC

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Package ICAMS updated to version 2.2.3 with previous version 2.1.2 dated 2020-04-21

Title: In-depth Characterization and Analysis of Mutational Signatures ('ICAMS')
Description: Analysis and visualization of experimentally elucidated mutational signatures -- the kind of analysis and visualization in Boot et al., "In-depth characterization of the cisplatin mutational signature in human cell lines and in esophageal and liver tumors", Genome Research 2018, <doi:10.1101/gr.230219.117> and "Characterization of colibactin-associated mutational signature in an Asian oral squamous cell carcinoma and in other mucosal tumor types", Genome Research 2020 <doi:10.1101/gr.255620.119>. 'ICAMS' stands for In-depth Characterization and Analysis of Mutational Signatures. 'ICAMS' has functions to read in variant call files (VCFs) and to collate the corresponding catalogs of mutational spectra and to analyze and plot catalogs of mutational spectra and signatures. Handles both "counts-based" and "density-based" catalogs of mutational spectra or signatures.
Author: Steve Rozen, Nanhai Jiang, Arnoud Boot, Mo Liu
Maintainer: Steve Rozen <steverozen@gmail.com>

Diff between ICAMS versions 2.1.2 dated 2020-04-21 and 2.2.3 dated 2020-09-18

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 ICAMS-2.2.3/ICAMS/DESCRIPTION                                                          |   21 
 ICAMS-2.2.3/ICAMS/LICENSE                                                              |only
 ICAMS-2.2.3/ICAMS/MD5                                                                  |  316 +
 ICAMS-2.2.3/ICAMS/NAMESPACE                                                            |    3 
 ICAMS-2.2.3/ICAMS/R/ICAMS.R                                                            |    5 
 ICAMS-2.2.3/ICAMS/R/ID_functions.R                                                     |  388 +-
 ICAMS-2.2.3/ICAMS/R/VCF_to_catalog_functions.R                                         | 1675 +++++++---
 ICAMS-2.2.3/ICAMS/R/data.R                                                             |    8 
 ICAMS-2.2.3/ICAMS/R/other_catalog_formats.R                                            |   64 
 ICAMS-2.2.3/ICAMS/R/plot.R                                                             |  105 
 ICAMS-2.2.3/ICAMS/R/read_write_catalog.R                                               |    2 
 ICAMS-2.2.3/ICAMS/R/shiny_related_functions.R                                          | 1204 ++++---
 ICAMS-2.2.3/ICAMS/R/strandbias_functions.R                                             |   24 
 ICAMS-2.2.3/ICAMS/R/sysdata.rda                                                        |binary
 ICAMS-2.2.3/ICAMS/R/test_functions.R                                                   |    2 
 ICAMS-2.2.3/ICAMS/R/utility_functions.R                                                |  235 +
 ICAMS-2.2.3/ICAMS/README.md                                                            |   59 
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 ICAMS-2.2.3/ICAMS/man/AddSeqContext.Rd                                                 |   50 
 ICAMS-2.2.3/ICAMS/man/AddTranscript.Rd                                                 |   46 
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 ICAMS-2.2.3/ICAMS/man/GetMutationLoadsFromStrelkaIDVCFs.Rd                             |   68 
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 ICAMS-2.2.3/ICAMS/man/GetVAF.Rd                                                        |   83 
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 ICAMS-2.2.3/ICAMS/man/Restaple96.Rd                                                    |   38 
 ICAMS-2.2.3/ICAMS/man/RevcDBS144.Rd                                                    |   44 
 ICAMS-2.2.3/ICAMS/man/RevcSBS96.Rd                                                     |   46 
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 ICAMS-2.2.3/ICAMS/man/Unstaple96.Rd                                                    |    4 
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 ICAMS-2.2.3/ICAMS/man/all.abundance.Rd                                                 |   78 
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 ICAMS-2.2.3/ICAMS/man/revc.Rd                                                          |   58 
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 ICAMS-2.2.3/ICAMS/tests/testthat/test_1VCFFilesToZipFile.R                             |    4 
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 ICAMS-2.2.3/ICAMS/tests/testthat/test_AnnotateIDVCF.R                                  |    2 
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More information about ICAMS at CRAN
Permanent link

New package gamma with initial version 1.0.0
Package: gamma
Title: Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry Measurements
Version: 1.0.0
Authors@R: c(person(given = "Nicolas", family = "Frerebeau", role = c("aut"), email = "nicolas.frerebeau@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0001-5759-4944")), person(given = "Brice", family = "Lebrun", role = c("aut", "cre"), email = "brice.lebrun@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0001-7503-8685")), person(given = "Guilhem", family = "Paradol", role = "aut", email = "guilhem.paradol@phelma.grenoble-inp.fr"), person(given = "Magali", family = "Rizza", role = "ctb", email = "rizza@cerege.fr", comment = c(ORCID = "0000-0003-2364-5621")), person(given = "Christelle", family = "Lahaye", role = "ctb", email = "christelle.lahaye@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0003-2215-9015")), person(given = "Université Bordeaux Montaigne", role = c("cph", "fnd")), person(given = "CNRS", role = "fnd"), person(given = "LabEx Sciences archéologiques de Bordeaux", role = "fnd"), person(given = "Idex Aix-Marseille", role = "fnd"))
Maintainer: Brice Lebrun <brice.lebrun@u-bordeaux-montaigne.fr>
Description: Process in-situ Gamma-Ray Spectrometry for Luminescence Dating. This package allows to import, inspect and correct the energy shifts of Gamma-ray spectra. It provides methods for estimating the gamma dose rate by the use of a calibration curve. The package only supports Canberra CNF and TKA files.
License: GPL-3
URL: https://crp2a.github.io/gamma/, https://github.com/crp2a/gamma
BugReports: https://github.com/crp2a/gamma/issues
Depends: R (>= 3.5)
Imports: ggplot2, graphics, IsoplotR, methods, rlang, rxylib, stats, tools, utils
Suggests: covr, knitr, magrittr, rmarkdown, testthat, vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.1
Collate: 'AllClasses.R' 'AllGenerics.R' 'baseline.R' 'baseline_rubberband.R' 'baseline_snip.R' 'coerce.R' 'data.R' 'dose_fit.R' 'dose_predict.R' 'energy_calibrate.R' 'gamma-package.R' 'initialize.R' 'mutators.R' 'operators.R' 'peaks_find.R' 'plot.R' 'read.R' 'show.R' 'signal_integrate.R' 'signal_slice.R' 'signal_stabilize.R' 'smooth.R' 'smooth_rectangular.R' 'smooth_savitzky.R' 'smooth_triangular.R' 'subset.R' 'summarize.R' 'utilities.R' 'validate.R'
NeedsCompilation: no
Packaged: 2020-09-11 11:46:11 UTC; lebrun
Author: Nicolas Frerebeau [aut] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [aut, cre] (<https://orcid.org/0000-0001-7503-8685>), Guilhem Paradol [aut], Magali Rizza [ctb] (<https://orcid.org/0000-0003-2364-5621>), Christelle Lahaye [ctb] (<https://orcid.org/0000-0003-2215-9015>), Université Bordeaux Montaigne [cph, fnd], CNRS [fnd], LabEx Sciences archéologiques de Bordeaux [fnd], Idex Aix-Marseille [fnd]
Repository: CRAN
Date/Publication: 2020-09-18 12:10:02 UTC

More information about gamma at CRAN
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New package cepiigeodist with initial version 0.1
Package: cepiigeodist
Title: CEPII's GeoDist Datasets
Version: 0.1
Authors@R: c( person("Mauricio", "Vargas", role = c("aut","cre"), email = "mvargas@dcc.uchile.cl", comment = c(ORCID = "0000-0003-1017-7574")), person(family = "Centre d'études prospectives et d'informations internationales (CEPII)", role = "dtc") )
Description: Provides data on countries and their main city or agglomeration and the different distance measures and dummy variables indicating whether two countries are contiguous, share a common language or a colonial relationship. The reference article for these datasets is Mayer and Zignago (2011) <http://www.cepii.fr/CEPII/en/publications/wp/abstract.asp?NoDoc=3877>.
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
URL: https://pacha.dev/cepiigeodist/
BugReports: https://github.com/pachamaltese/cepiigeodist/issues/
Suggests: gravity
NeedsCompilation: no
Packaged: 2020-09-11 14:34:18 UTC; pacha
Author: Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>), Centre d'études prospectives et d'informations internationales (CEPII) [dtc]
Maintainer: Mauricio Vargas <mvargas@dcc.uchile.cl>
Repository: CRAN
Date/Publication: 2020-09-18 12:20:07 UTC

More information about cepiigeodist at CRAN
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Package TCIU updated to version 1.1.0 with previous version 1.0.0 dated 2020-08-27

Title: Spacekime Analytics, Time Complexity and Inferential Uncertainty
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.
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>

Diff between TCIU versions 1.0.0 dated 2020-08-27 and 1.1.0 dated 2020-09-18

 TCIU-1.0.0/TCIU/src/complex_Sig=gen.c             |only
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 TCIU-1.1.0/TCIU/DESCRIPTION                       |   15 ++++++----
 TCIU-1.1.0/TCIU/MD5                               |   15 +++++-----
 TCIU-1.1.0/TCIU/inst/doc/tciu-LT-kimesurface.html |   16 +++++------
 TCIU-1.1.0/TCIU/inst/doc/tciu-fMRI-analytics.html |   32 +++++++++++-----------
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 13 files changed, 41 insertions(+), 37 deletions(-)

More information about TCIU at CRAN
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New package r5r with initial version 0.1.0
Type: Package
Package: r5r
Title: Rapid Realistic Routing with 'R5'
Version: 0.1.0
Authors@R: c( person(given="Marcus", family="Saraiva", email="marcus.saraiva@gmail.com", role="aut", comment = c(ORCID = "0000-0001-6218-2338")), person(given="Rafael H. M.", family="Pereira", email="rafa.pereira.br@gmail.com", role=c("aut", "cre"), comment = c(ORCID = "0000-0003-2125-7465")), person(given="Daniel", family="Herszenhut", email="dhersz@gmail.com", role="aut", comment = c(ORCID = "0000-0001-8066-1105")), person(given="Carlos Kaue Vieira", family="Braga", email="kaue@kauebraga.dev", role="aut", comment = c(ORCID = "0000-0002-6104-7297")), person("Ipea - Institue for Applied Economic Research", role = c("cph", "fnd")) )
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing on top of the R5 Java machine.
Date: 2020-09-03
URL: https://github.com/ipeaGIT/r5r
BugReports: https://github.com/ipeaGIT/r5r/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 4.0)
Suggests: covr, ggplot2 (>= 3.3.1), knitr, mapview, rmarkdown, testthat
Imports: checkmate, data.table, methods, jdx (>= 0.1.4), rJava (>= 0.9-13), sf (>= 0.9-3), sfheaders, utils
SystemRequirements: Java JDK (>= 11.0.8)
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-11 01:47:17 UTC; user
Author: Marcus Saraiva [aut] (<https://orcid.org/0000-0001-6218-2338>), Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>), Carlos Kaue Vieira Braga [aut] (<https://orcid.org/0000-0002-6104-7297>), Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-18 11:50:03 UTC

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Package openssl updated to version 1.4.3 with previous version 1.4.2 dated 2020-06-27

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between openssl versions 1.4.2 dated 2020-06-27 and 1.4.3 dated 2020-09-18

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 MD5                          |   35 ++++++++++++++++++----------------
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 R/rand.R                     |    2 -
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 inst/doc/crypto_hashing.R    |    5 +++-
 inst/doc/crypto_hashing.Rmd  |    9 +++++---
 inst/doc/crypto_hashing.html |   15 ++++++++------
 inst/doc/keys.html           |   44 +++++++++++++++++++++----------------------
 inst/doc/secure_rng.Rmd      |    4 +--
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 man/hash.Rd                  |    2 -
 man/rand_bytes.Rd            |    2 -
 src/bcrypt/bcrypt_pbkdf.c    |    5 +---
 tests/engine.R               |only
 tests/engine.Rout.save       |only
 vignettes/crypto_hashing.Rmd |    9 +++++---
 vignettes/secure_rng.Rmd     |    4 +--
 20 files changed, 109 insertions(+), 92 deletions(-)

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Package gplots updated to version 3.1.0 with previous version 3.0.4 dated 2020-07-05

Title: Various R Programming Tools for Plotting Data
Description: Various R programming tools for plotting data, including: - calculating and plotting locally smoothed summary function as ('bandplot', 'wapply'), - enhanced versions of standard plots ('barplot2', 'boxplot2', 'heatmap.2', 'smartlegend'), - manipulating colors ('col2hex', 'colorpanel', 'redgreen', 'greenred', 'bluered', 'redblue', 'rich.colors'), - calculating and plotting two-dimensional data summaries ('ci2d', 'hist2d'), - enhanced regression diagnostic plots ('lmplot2', 'residplot'), - formula-enabled interface to 'stats::lowess' function ('lowess'), - displaying textual data in plots ('textplot', 'sinkplot'), - plotting a matrix where each cell contains a dot whose size reflects the relative magnitude of the elements ('balloonplot'), - plotting "Venn" diagrams ('venn'), - displaying Open-Office style plots ('ooplot'), - plotting multiple data on same region, with separate axes ('overplot'), - plotting means and confidence intervals ('plotCI', 'plotmeans'), - spacing points in an x-y plot so they don't overlap ('space').
Author: Gregory R. Warnes [aut], Ben Bolker [aut], Lodewijk Bonebakker [aut], Robert Gentleman [aut], Wolfgang Huber [aut], Andy Liaw [aut], Thomas Lumley [aut], Martin Maechler [aut], Arni Magnusson [aut], Steffen Moeller [aut], Marc Schwartz [aut], Bill Venables [aut], Tal Galili [ctb, cre]
Maintainer: Tal Galili <tal.galili@gmail.com>

Diff between gplots versions 3.0.4 dated 2020-07-05 and 3.1.0 dated 2020-09-18

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 24 files changed, 65 insertions(+), 48 deletions(-)

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New package ech with initial version 0.1.0
Package: ech
Title: Toolbox for ECH with R
Version: 0.1.0
Authors@R: c(person("Gabriela", "Mathieu", email = "calcita@gmx.li", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3965-9024")), person("Richard", "Detomasi", email = "richard.detomasi@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-6725-0261")), person("Tati", "Micheletti", email = "tati.micheletti@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0003-4838-8342")), person(family = "Instituto Nacional de Estadistica, Uruguay (INE)", role = "dtc"))
Maintainer: Gabriela Mathieu <calcita@gmx.li>
Description: R toolbox for the processing of the Encuesta Continua de Hogares (ECH) from Uruguay at <http://www.ine.gub.uy/encuesta-continua-de-hogares1> conducted by the Instituto Nacional de Estadistica (INE).
License: GPL-3
Encoding: UTF-8
ByteCompile: true
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: assertthat, fs, glue, dplyr (>= 1.0.0), haven (>= 2.3.0), janitor, magrittr, srvyr (>= 0.4.0), statar, survey (>= 1.2.0), stringr, readxl, laeken, rlang, pdftables, tidyr, textclean, rstudioapi, geouy, purrr, labelled, tidyselect, ggplot2, ggthemes, ggspatial, methods, sf, viridis
Suggests: knitr, testthat (>= 2.1.0), rmarkdown, covr
SystemRequirements: 'unrar' (Linux/macOS) or '7-Zip' (Windows) to work with '.rar' files, GDAL (>= 3.0.2), GEOS (>= 3.8.0), PROJ (>= 6.2.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-11 02:16:24 UTC; Usuario
Author: Gabriela Mathieu [aut, cre] (<https://orcid.org/0000-0003-3965-9024>), Richard Detomasi [aut] (<https://orcid.org/0000-0002-6725-0261>), Tati Micheletti [ctb] (<https://orcid.org/0000-0003-4838-8342>), Instituto Nacional de Estadistica, Uruguay (INE) [dtc]
Repository: CRAN
Date/Publication: 2020-09-18 11:50:08 UTC

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New package CovidMutations with initial version 0.1.3
Package: CovidMutations
Type: Package
Title: Mutation Analysis Toolkit for COVID-19 (Coronavirus Disease 2019)
Version: 0.1.3
Date: 2020-08-29
Authors@R: c( person( "Shaoqian", "Ma", email = "shaoqianma@qq.com", role = c("aut", "cre"), comment = c(ORCID = '0000-0001-8950-0711') ), person( "Yongyou", "Zhang", email = "yongyouzhang@xmu.edu.cn", role = c("aut"), comment = c(ORCID = '0000-0003-2413-9106') ) )
Description: A feasible framework for mutation analysis and reverse transcription polymerase chain reaction (RT-PCR) assay evaluation of COVID-19, including mutation profile visualization, statistics and mutation ratio of each assay. The mutation ratio is conducive to evaluating the coverage of RT-PCR assays in large-sized samples. Mercatelli, D. and Giorgi, F. M. (2020) <doi:10.20944/preprints202004.0529.v1>.
Depends: R (>= 3.6)
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
Imports: ggplot2, cowplot, seqinr, stringr, grDevices, graphics, utils, ggpubr, dplyr, VennDiagram
RoxygenNote: 7.1.1
NeedsCompilation: no
URL: https://github.com/MSQ-123/CovidMutations
BugReports: https://github.com/MSQ-123/CovidMutations/issues
Suggests: testthat
Packaged: 2020-09-11 08:10:05 UTC; lenovo
Author: Shaoqian Ma [aut, cre] (<https://orcid.org/0000-0001-8950-0711>), Yongyou Zhang [aut] (<https://orcid.org/0000-0003-2413-9106>)
Maintainer: Shaoqian Ma <shaoqianma@qq.com>
Repository: CRAN
Date/Publication: 2020-09-18 12:00:39 UTC

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New package covid19swiss with initial version 0.1.0
Package: covid19swiss
Type: Package
Title: COVID-19 Cases in Switzerland and Principality of Liechtenstein
Version: 0.1.0
Authors@R: person("Rami", "Krispin", email = "rami.krispin@gmail.com", role = c("aut", "cre"))
Maintainer: Rami Krispin <rami.krispin@gmail.com>
Description: Provides a daily summary of the Coronavirus (COVID-19) cases in Switzerland cantons and Principality of Liechtenstein. Data source: Specialist Unit for Open Government Data Canton of Zurich <https://www.zh.ch/de/politik-staat/opendata.html>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.2)
Imports: devtools,
Suggests: dplyr (>= 0.8.5), tidyr (>= 1.0.0), knitr, rmarkdown, testthat
URL: https://github.com/Covid19R/covid19swiss
BugReports: https://github.com/Covid19R/covid19swiss/issues
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-11 08:49:17 UTC; ramikrispin
Author: Rami Krispin [aut, cre]
Repository: CRAN
Date/Publication: 2020-09-18 12:00:14 UTC

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New package ciccr with initial version 0.1.0
Package: ciccr
Type: Package
Title: Causal Inference in Case-Control Studies
Version: 0.1.0
Authors@R: c( person("Sung Jae", "Jun", email = "suj14@psu.edu", role = "aut"), person("Sokbae", "Lee", email = "sl3841@columbia.edu", role = c("aut", "cre")))
Description: Estimation and inference methods for causal relative risk. Semiparametrically efficient estimation of the aggregated (log) odds ratio and a causal inference procedure for relative risk. For more details, see the paper by Jun and Lee (2020), "Causal Inference in Case-Control Studies," <arXiv:2004.08318 [econ.EM]>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: stats, MASS
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://github.com/sokbae/ciccr/
BugReports: https://github.com/sokbae/ciccr/issues
NeedsCompilation: no
Packaged: 2020-09-11 09:14:05 UTC; sokbaelee
Author: Sung Jae Jun [aut], Sokbae Lee [aut, cre]
Maintainer: Sokbae Lee <sl3841@columbia.edu>
Repository: CRAN
Date/Publication: 2020-09-18 12:00:18 UTC

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New package broom.helpers with initial version 1.0.0
Package: broom.helpers
Title: Helpers for Model Coefficients Tibbles
Version: 1.0.0
Authors@R: c(person(given = "Joseph", family = "Larmarange", role = c("aut", "cre"), email = "joseph@larmarange.net", comment = c(ORCID = "0000-0001-7097-700X")), person(given = "Daniel D.", family = "Sjoberg", role = "aut", email = "danield.sjoberg@gmail.com", comment = c(ORCID = "0000-0003-0862-2018")))
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
License: GPL-3
URL: https://larmarange.github.io/broom.helpers/
BugReports: https://github.com/larmarange/broom.helpers/issues
Imports: broom, dplyr, labelled, lifecycle, purrr, stats, stringr, tibble, usethis
Suggests: broom.mixed, covr, datasets, forcats, gam, gee, geepack, ggplot2, gtsummary, knitr, lavaan, lme4, MASS, nnet, ordinal, rmarkdown, survey, survival, testthat
VignetteBuilder: knitr
RdMacros: lifecycle
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-11 11:22:18 UTC; josep
Author: Joseph Larmarange [aut, cre] (<https://orcid.org/0000-0001-7097-700X>), Daniel D. Sjoberg [aut] (<https://orcid.org/0000-0003-0862-2018>)
Maintainer: Joseph Larmarange <joseph@larmarange.net>
Repository: CRAN
Date/Publication: 2020-09-18 12:00:24 UTC

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New package tradestatistics with initial version 1.1
Package: tradestatistics
Type: Package
Title: Open Trade Statistics API Wrapper and Utility Program
Version: 1.1
Authors@R: c( person(given = "Mauricio", family = "Vargas", role = c("aut", "cre", "cph"), email = "mvargas@dcc.uchile.cl", comment = c(ORCID = "0000-0003-1017-7574")), person(given = "Joshua", family = "Kunst", role = "ctb", comment = "contributed to different parts of the pre-release code"), person(given = "Natalia", family = "de los Santos", role = "ctb", comment = "proposed improvements to default parameters"), person(given = "Elio", family = "Campitelli", role = "ctb", comment = "wrote client-side caching function"), person(given = "Emily", family = "Riederer", role = "rev", comment = "reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/274"), person(given = "Mark", family = "Padgham", role = "rev", comment = "reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/274"), person(given = "Amanda", family = "Dobbyn", role = "rev", comment = "reviewed an archived package that evolved into the current package for rOpenSci, see https://github.com/ropensci/onboarding/issues/217"), person(given = "Jorge", family = "Cimentada", role = "rev", comment = "reviewed an archived package that evolved into the current package for rOpenSci, see https://github.com/ropensci/onboarding/issues/217"), person(family = "UN Comtrade", role = "dtc"), person(family = "The World Bank", role = "dtc"), person(family = "Center for International Development at Harvard University", role = "dtc"), person(family = "The Observatory of Economic Complexity", role = "dtc") )
URL: https://docs.ropensci.org/tradestatistics/
BugReports: https://github.com/ropensci/tradestatistics/issues
Description: Access 'Open Trade Statistics' API from R to download international trade data.
License: GPL-3
LazyData: TRUE
Imports: crul, jsonlite, memoise, data.table, digest
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, DT, testthat (>= 2.1.0), vcr, covr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-12 23:19:04 UTC; pacha
Author: Mauricio Vargas [aut, cre, cph] (<https://orcid.org/0000-0003-1017-7574>), Joshua Kunst [ctb] (contributed to different parts of the pre-release code), Natalia de los Santos [ctb] (proposed improvements to default parameters), Elio Campitelli [ctb] (wrote client-side caching function), Emily Riederer [rev] (reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/274), Mark Padgham [rev] (reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/274), Amanda Dobbyn [rev] (reviewed an archived package that evolved into the current package for rOpenSci, see https://github.com/ropensci/onboarding/issues/217), Jorge Cimentada [rev] (reviewed an archived package that evolved into the current package for rOpenSci, see https://github.com/ropensci/onboarding/issues/217), UN Comtrade [dtc], The World Bank [dtc], Center for International Development at Harvard University [dtc], The Observatory of Economic Complexity [dtc]
Maintainer: Mauricio Vargas <mvargas@dcc.uchile.cl>
Repository: CRAN
Date/Publication: 2020-09-18 09:00:03 UTC

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New package torch with initial version 0.0.3
Package: torch
Type: Package
Title: Tensors and Neural Networks with 'GPU' Acceleration
Version: 0.0.3
Authors@R: c( person("Daniel", "Falbel", email = "daniel@rstudio.com", role = c("aut", "cre", "cph")), person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("aut", "cph")), person("Dmitriy", "Selivanov", role = c("ctb")), person("Athos", "Damiani", role = c("ctb")), person(family = "RStudio", role = c("cph")) )
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
License: MIT + file LICENSE
URL: https://torch.mlverse.org/docs, https://github.com/mlverse/torch
BugReports: https://github.com/mlverse/torch/issues
Encoding: UTF-8
LazyData: true
SystemRequirements: C++11, LibTorch (https://pytorch.org/)
LinkingTo: Rcpp
Imports: Rcpp, R6, withr, rlang, methods, utils, stats, bit64, magrittr
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, glue, palmerpenguins
VignetteBuilder: knitr
Collate: 'R7.R' 'RcppExports.R' 'tensor.R' 'autograd.R' 'backends.R' 'codegen-utils.R' 'conditions.R' 'creation-ops.R' 'cuda.R' 'device.R' 'dimname_list.R' 'dtype.R' 'gen-method.R' 'gen-namespace-docs.R' 'gen-namespace-examples.R' 'gen-namespace.R' 'generator.R' 'help.R' 'indexing.R' 'install.R' 'lantern_load.R' 'lantern_sync.R' 'layout.R' 'memory_format.R' 'utils-data.R' 'nn.R' 'nn-activation.R' 'nn-batchnorm.R' 'nn-conv.R' 'nn-dropout.R' 'nn-init.R' 'nn-linear.R' 'nn-loss.R' 'nn-pooling.R' 'nn-rnn.R' 'nn-sparse.R' 'nn-utils-rnn.R' 'nn-utils.R' 'nn_adaptive.R' 'nnf-activation.R' 'nnf-batchnorm.R' 'nnf-conv.R' 'nnf-distance.R' 'nnf-dropout.R' 'nnf-embedding.R' 'nnf-fold.R' 'nnf-instancenorm.R' 'nnf-linear.R' 'nnf-loss.R' 'nnf-normalization.R' 'nnf-padding.R' 'nnf-pixelshuffle.R' 'nnf-pooling.R' 'nnf-upsampling.R' 'nnf-vision.R' 'operators.R' 'optim.R' 'optim-adam.R' 'optim-sgd.R' 'package.R' 'qscheme.R' 'quantization.R' 'reduction.R' 'save.R' 'scalar.R' 'storage.R' 'tensor_list.R' 'tensor_options.R' 'type-info.R' 'utils-data-collate.R' 'utils-data-dataloader.R' 'utils-data-enum.R' 'utils-data-fetcher.R' 'utils-data-sampler.R' 'utils-pipe.R' 'utils.R' 'variable_list.R' 'with-indices.R' 'wrapers.R'
NeedsCompilation: yes
Packaged: 2020-09-17 21:56:47 UTC; dfalbel
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut, cph], Dmitriy Selivanov [ctb], Athos Damiani [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Repository: CRAN
Date/Publication: 2020-09-18 08:10:03 UTC

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Package texPreview updated to version 1.4.6 with previous version 1.4.4 dated 2020-02-16

Title: Compile and Preview Snippets of 'LaTeX'
Description: Compile snippets of 'LaTeX' directly into images from the R console to view in the 'RStudio' viewer pane, Shiny apps and 'RMarkdown' documents.
Author: Jonathan Sidi [aut, cre], Daniel Polhamus [aut]
Maintainer: Jonathan Sidi <yonicd@gmail.com>

Diff between texPreview versions 1.4.4 dated 2020-02-16 and 1.4.6 dated 2020-09-18

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Package spsurvey updated to version 4.1.4 with previous version 4.1.3 dated 2020-06-18

Title: Spatial Survey Design and Analysis
Description: These functions provide procedures for selecting sites for spatial surveys using spatially balanced algorithms applied to discrete points, linear networks, or polygons. The probability survey designs available include independent random samples, stratified random samples, and unequal probability random samples (categorical or probability proportional to size). Design-based estimation based on the results from surveys is available for estimating totals, means, quantiles, CDFs, and linear models. The analyses rely on package survey for most results. Variance estimation options include a local neighborhood variance estimator that is appropriate for spatially-balanced survey designs. A reference for the survey design portion of the package is: D. L. Stevens, Jr. and A. R. Olsen (2004), "Spatially-balanced sampling of natural resources.", Journal of the American Statistical Association 99(465): 262-278, <DOI:10.1198/016214504000000250>. Additional helpful references for this package are A. R. Olsen, T. M. Kincaid, and Q. Payton (2012) and T. M. Kincaid and A. R. Olsen (2012), both of which are chapters in the book "Design and Analysis of Long-Term Ecological Monitoring Studies" (R. A. Gitzen, J. J. Millspaugh, A. B. Cooper, and D. S. Licht (eds.), Cambridge University Press, New York, <Online ISBN:9781139022422>).
Author: Tom Kincaid [aut], Tony Olsen [aut], Marc Weber [aut, cre], Don Stevens [ctb], Christian Platt [ctb], Denis White [ctb], Richard Remington [ctb]
Maintainer: Marc Weber <Weber.Marc@epa.gov>

Diff between spsurvey versions 4.1.3 dated 2020-06-18 and 4.1.4 dated 2020-09-18

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Package soundcorrs updated to version 0.3.0 with previous version 0.2.0 dated 2020-09-01

Title: Semi-Automatic Analysis of Sound Correspondences
Description: A set of tools that can be used in computer-aided analysis of sound correspondences between languages, plus several helper functions. Analytic functions range from purely qualitative analysis, through statistic methods yielding qualitative results, to an entirely quantitative approach.
Author: Kamil Stachowski [aut, cre]
Maintainer: Kamil Stachowski <kamil.stachowski@gmail.com>

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Permanent link

New package rppo with initial version 1.0.1
Package: rppo
Title: Access the Global Plant Phenology Data Portal
URL: https://docs.ropensci.org/rppo/, https://github.com/ropensci/rppo/
BugReports: https://github.com/ropensci/rppo/issues
Version: 1.0.1
Authors@R: c( person("John","Deck", email = "jdeck88@gmail.com", role = c("aut", "cre")), person("Brian","Stucky", email = "stuckyb@flmnh.ufl.edu", role = "aut"), person("Ramona","Walls", email = "rwalls@cyverse.org", role = "aut"), person("Kjell", "Bolmgren", email = "Kjell.Bolmgren@slu.se", role = "aut"), person("Ellen", "Denny", email = "ellen@usanpn.org", role = "aut"), person("Robert","Guralnick", email = "rguralnick@flmnh.ufl.edu", role = "aut") )
Maintainer: John Deck <jdeck88@gmail.com>
Description: An R interface to the Global Plant Phenology Data Portal, which is accessible online at <https://www.plantphenology.org/>.
Depends: R (>= 3.4.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: jsonlite, readr, plyr, httr
Suggests: testthat, rmarkdown, markdown, knitr, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-17 17:14:36 UTC; jdeck
Author: John Deck [aut, cre], Brian Stucky [aut], Ramona Walls [aut], Kjell Bolmgren [aut], Ellen Denny [aut], Robert Guralnick [aut]
Repository: CRAN
Date/Publication: 2020-09-18 08:10:17 UTC

More information about rppo at CRAN
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New package rmdcev with initial version 1.2.2
Package: rmdcev
Type: Package
Title: Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value Models
Version: 1.2.2
Authors@R: c( person(given = "Patrick", family = "Lloyd-Smith", role = c("aut", "cre"), email = "patrick.lloydsmith@usask.ca"), person("Trustees of", "Columbia University", role = "cph"))
Maintainer: Patrick Lloyd-Smith <patrick.lloydsmith@usask.ca>
Description: Estimates and simulates Kuhn-Tucker demand models with individual heterogeneity. The package implements the multiple-discrete continuous extreme value (MDCEV) model and the Kuhn-Tucker specification common in the environmental economics literature on recreation demand. Latent class and random parameters specifications can be implemented and the models are fit using maximum likelihood estimation or Bayesian estimation. All models are implemented in Stan, which is a C++ package for performing full Bayesian inference (see Stan Development Team, 2019) <https://mc-stan.org/>. The package also implements demand forecasting (Pinjari and Bhat (2011) <https://repositories.lib.utexas.edu/handle/2152/23880>) and welfare calculation (Lloyd-Smith (2018) <doi:10.1016/j.jocm.2017.12.002>) for policy simulation.
License: MIT + file LICENSE
Depends: R (>= 3.6.0), Rcpp (>= 1.0.5), methods
Imports: rstan (>= 2.21.0), rstantools (>= 2.1.1), RcppParallel (>= 5.0.1), dplyr (>= 0.7.8), purrr, tibble, tidyr, utils, stats, Formula
LinkingTo: BH (>= 1.72.0), Rcpp, RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.21.0), StanHeaders (>= 2.21.0)
Encoding: UTF-8
LazyData: true
Repository: CRAN
SystemRequirements: GNU make
RoxygenNote: 7.1.1
Biarch: true
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/plloydsmith/rmdcev
BugReports: https://github.com/plloydsmith/rmdcev/issues
Author: Patrick Lloyd-Smith [aut, cre], Trustees of Columbia University [cph]
NeedsCompilation: yes
Packaged: 2020-09-17 16:05:37 UTC; Pat
Date/Publication: 2020-09-18 08:10:21 UTC

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New package icesVocab with initial version 1.1.7
Package: icesVocab
Title: ICES Vocabularies Database Web Services
Date: 2020-09-17
Version: 1.1.7
Authors@R: c(person("Colin", "Millar", email = "colin.millar@ices.dk", role = c("aut","cre")), person("Arni", "Magnusson", role = "aut"))
Imports: utils, XML
Description: R interface to access the RECO POX web services of the ICES (International Council for the Exploration of the Sea) Vocabularies database <https://vocab.ices.dk/services/POX.aspx>.
License: GPL-3
URL: https://vocab.ices.dk/services/POX.aspx
RoxygenNote: 7.1.1
Encoding: UTF-8
BugReports: https://github.com/ices-tools-prod/icesVocab/issues
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-09-17 10:55:27 UTC; colin
Author: Colin Millar [aut, cre], Arni Magnusson [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>
Repository: CRAN
Date/Publication: 2020-09-18 08:50:09 UTC

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Package huxtable updated to version 5.1.0 with previous version 5.0.0 dated 2020-06-15

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', and 'PowerPoint'. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package restatapi updated to version 0.8.10 with previous version 0.8.6 dated 2020-05-29

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX <https://sdmx.org>) Web Services (<https://ec.europa.eu/eurostat/web/sdmx-web-services/about-this-service>) to search and download data from the Eurostat database using the SDMX standard.
Author: Mátyás Mészáros [aut, cre]
Maintainer: Mátyás Mészáros <matyas.meszaros@ec.europa.eu>

Diff between restatapi versions 0.8.6 dated 2020-05-29 and 0.8.10 dated 2020-09-18

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Package miic updated to version 1.5.1 with previous version 1.5.0 dated 2020-09-11

Title: Learning Causal or Non-Causal Graphical Models Using Information Theory
Description: We report an information-theoretic method which learns a large class of causal or non-causal graphical models from purely observational data, while including the effects of unobserved latent variables, commonly found in many datasets. Starting from a complete graph, the method iteratively removes dispensable edges, by uncovering significant information contributions from indirect paths, and assesses edge-specific confidences from randomization of available data. The remaining edges are then oriented based on the signature of causality in observational data. This approach can be applied on a wide range of datasets and provide new biological insights on regulatory networks from single cell expression data, genomic alterations during tumor development and co-evolving residues in protein structures. For more information you can refer to: Cabeli et al. PLoS Comp. Bio. 2020 <doi:10.1371/journal.pcbi.1007866>, Verny et al. PLoS Comp. Bio. 2017 <doi:10.1371/journal.pcbi.1005662>.
Author: Vincent Cabeli [aut, cre], Honghao Li [aut], Marcel Ribeiro Dantas [aut], Nadir Sella [aut], Louis Verny [aut], Severine Affeldt [aut], Hervé Isambert [aut]
Maintainer: Vincent Cabeli <vincent.cabeli@curie.fr>

Diff between miic versions 1.5.0 dated 2020-09-11 and 1.5.1 dated 2020-09-18

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More information about miic at CRAN
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Package hereR updated to version 0.5.0 with previous version 0.4.1 dated 2020-08-24

Title: 'sf'-Based Interface to the 'HERE' REST APIs
Description: Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autosuggest addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing' API; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) request intermodal routes using the 'Intermodal Routing' API; (6) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), Daniel Possenriede [ctb] (<https://orcid.org/0000-0002-6738-9845>)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

Diff between hereR versions 0.4.1 dated 2020-08-24 and 0.5.0 dated 2020-09-18

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New package gitear with initial version 1.0.0
Package: gitear
Title: Client to the 'gitea' API
Version: 1.0.0
Authors@R: c( person(family="ixpantia, SRL", role = "aut", email = "hola@ixpantia.com"), person("Frans", "van Dunné", role=c("cre", "aut"), email="frans@ixpantia.com"), person("Francisco", "Sácida", role="aut", email="francisco@delaguayaba.com"), person("Ronny", "Hernández Mora", role="aut", email="ronny@ixpantia.com"), person("Patrick", "Santamaría Guzmán", role="ctb", email="patrick@ixpantia.com"))
Description: 'Gitea' is a community managed, lightweight code hosting solution were projects and their respective git repositories can be managed <https://gitea.io>. This package gives an interface to the 'Gitea' API to access and manage repositories, issues and organizations directly in R.
Depends: R (>= 3.5.0), magrittr
Imports: httr, jsonlite, dplyr, tidyr, tibble, stringr, mockery, graphics, Rcpp
License: GPL-3
URL: https://ixpantia.github.io/gitear/
BugReports: https://github.com/ixpantia/gitear/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown, covr
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-26 22:00:34 UTC; frans
Author: ixpantia, SRL [aut], Frans van Dunné [cre, aut], Francisco Sácida [aut], Ronny Hernández Mora [aut], Patrick Santamaría Guzmán [ctb]
Maintainer: Frans van Dunné <frans@ixpantia.com>
Repository: CRAN
Date/Publication: 2020-09-18 08:00:07 UTC

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Package fastmatrix updated to version 0.2-357 with previous version 0.2-35 dated 2020-09-05

Title: Fast Computation of some Matrices Useful in Statistics
Description: Small set of functions to fast computation of some matrices and operations useful in statistics.
Author: Felipe Osorio [aut, cre] (<https://orcid.org/0000-0002-4675-5201>), Alonso Ogueda [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

Diff between fastmatrix versions 0.2-35 dated 2020-09-05 and 0.2-357 dated 2020-09-18

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Package devtools updated to version 2.3.2 with previous version 2.3.1 dated 2020-07-21

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], R Core team [ctb] (Some namespace and vignette code extracted from base R)
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package bvartools updated to version 0.1.0 with previous version 0.0.3 dated 2020-07-23

Title: Bayesian Inference of Vector Autoregressive Models
Description: Assists in the set-up of algorithms for Bayesian inference of vector autoregressive (VAR) models. Functions for posterior simulation, forecasting, impulse response analysis and forecast error variance decomposition are largely based on the introductory texts of Chan, Koop, Poirier and Tobias (2019, ISBN: 9781108437493), Koop and Korobilis (2010) <doi:10.1561/0800000013> and Luetkepohl (2006, ISBN: 9783540262398).
Author: Franz X. Mohr [aut, cre]
Maintainer: Franz X. Mohr <bvartools@outlook.com>

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Package sasLM updated to version 0.2.0 with previous version 0.1.4 dated 2020-06-04

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, and ANOVA. Some packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between sasLM versions 0.1.4 dated 2020-06-04 and 0.2.0 dated 2020-09-18

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Package s20x updated to version 3.1-29 with previous version 3.1-28 dated 2019-05-23

Title: Functions for University of Auckland Course STATS 201/208 Data Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Author: Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Brendan McArdle, Ben Stevenson, Chris Wild
Maintainer: James Curran <j.curran@auckland.ac.nz>

Diff between s20x versions 3.1-28 dated 2019-05-23 and 3.1-29 dated 2020-09-18

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Package arkdb updated to version 0.0.6 with previous version 0.0.5 dated 2018-10-31

Title: Archive and Unarchive Databases Using Flat Files
Description: Flat text files provide a robust, compressible, and portable way to store tables from databases. This package provides convenient functions for exporting tables from relational database connections into compressed text files and streaming those text files back into a database without requiring the whole table to fit in working memory.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Richard FitzJohn [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between arkdb versions 0.0.5 dated 2018-10-31 and 0.0.6 dated 2020-09-18

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