Wed, 06 Mar 2019

Package stapler updated to version 0.6.6 with previous version 0.6.5 dated 2018-02-02

Title: Simultaneous Truth and Performance Level Estimation
Description: An implementation of Simultaneous Truth and Performance Level Estimation (STAPLE) <doi:10.1109/TMI.2004.828354>. This method is used when there are multiple raters for an object, typically an image, and this method fuses these ratings into one rating. It uses an expectation-maximization method to estimate this rating and the individual specificity/sensitivity for each rater.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package recmap updated to version 1.0.1 with previous version 1.0.0 dated 2018-09-16

Title: Compute the Rectangular Statistical Cartogram
Description: Provides an interface and a C++ implementation of the RecMap MP2 construction heuristic (see 'citation("recmap")' for details). This algorithm draws maps according to a given statistical value (e.g., election results, population or epidemiological data). The basic idea of the RecMap algorithm is that each map region (e.g., different countries) is represented by a rectangle. The area of each rectangle represents the statistical value given as input (maintain zero cartographic error). Documentation about RecMap is provided by a vignette included in this package.
Author: Christian Panse [aut, cre] (<https://orcid.org/0000-0003-1975-3064>)
Maintainer: Christian Panse <Christian.Panse@gmail.com>

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Package furniture updated to version 1.9.0 with previous version 1.8.7 dated 2018-11-10

Title: Furniture for Quantitative Scientists
Description: Contains four main functions (i.e., four pieces of furniture): table1() which produces a well-formatted table of descriptive statistics common as Table 1 in research articles, tableC() which produces a well-formatted table of correlations, tableF() which provides frequency counts, and washer() which is helpful in cleaning up the data. These furniture-themed functions are designed to simplify common tasks in quantitative analysis. Other data summary and cleaning tools are also available.
Author: Tyson S. Barrett [aut, cre] (<https://orcid.org/0000-0002-2137-1391>), Emily Brignone [aut], Daniel J. Laxman [aut]
Maintainer: Tyson S. Barrett <t.barrett@aggiemail.usu.edu>

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Package RCzechia updated to version 1.3.3 with previous version 1.3.2 dated 2019-01-04

Title: Spatial Objects of the Czech Republic
Description: Administrative regions, rivers and water bodies of the Czech Republic.
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

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Package GMMAT updated to version 1.0.4 with previous version 1.0.3 dated 2019-01-30

Title: Generalized Linear Mixed Model Association Tests
Description: Perform association tests using generalized linear mixed models (GLMMs) in genome-wide association studies (GWAS) and sequencing association studies. First, GMMAT fits a GLMM with covariate adjustment and random effects to account for population structure and familial or cryptic relatedness. For GWAS, GMMAT performs score tests for each genetic variant as proposed in Chen et al. (2016) <DOI:10.1016/j.ajhg.2016.02.012>. For candidate gene studies, GMMAT can also perform Wald tests to get the effect size estimate for each genetic variant. For rare variant analysis from sequencing association studies, GMMAT performs the variant Set Mixed Model Association Tests (SMMAT) as proposed in Chen et al. (2019) <DOI:10.1016/j.ajhg.2018.12.012>, including the burden test, the sequence kernel association test (SKAT), SKAT-O and an efficient hybrid test of the burden test and SKAT, based on user-defined variant sets.
Author: Han Chen, Matthew P. Conomos
Maintainer: Han Chen <Han.Chen.2@uth.tmc.edu>

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Package glmnetUtils updated to version 1.1.2 with previous version 1.1.1 dated 2019-01-17

Title: Utilities for 'Glmnet'
Description: Provides a formula interface for the 'glmnet' package for elasticnet regression, a method for cross-validating the alpha parameter, and other quality-of-life tools.
Author: Microsoft [cph], Hong Ooi [aut, cre]
Maintainer: Hong Ooi <hongooi@microsoft.com>

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Package gcite updated to version 0.10.1 with previous version 0.9.3 dated 2018-11-19

Title: Google Citation Parser
Description: Scrapes Google Citation pages and creates data frames of citations over time.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package rptR updated to version 0.9.22 with previous version 0.9.21 dated 2018-01-04

Title: Repeatability Estimation for Gaussian and Non-Gaussian Data
Description: Estimating repeatability (intra-class correlation) from Gaussian, binary, proportion and Poisson data.
Author: Martin Stoffel <martin.adam.stoffel@gmail.com>, Shinichi Nakagawa <s.nakagawa@unsw.edu.au>, Holger Schielzeth <holger.schielzeth@uni-jena.de>
Maintainer: Martin Stoffel <martin.adam.stoffel@gmail.com>

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Package polysat updated to version 1.7-4 with previous version 1.7-3 dated 2018-06-07

Title: Tools for Polyploid Microsatellite Analysis
Description: A collection of tools to handle microsatellite data of any ploidy (and samples of mixed ploidy) where allele copy number is not known in partially heterozygous genotypes. It can import and export data in ABI 'GeneMapper', 'Structure', 'ATetra', 'Tetrasat'/'Tetra', 'GenoDive', 'SPAGeDi', 'POPDIST', 'STRand', and binary presence/absence formats. It can calculate pairwise distances between individuals using a stepwise mutation model or infinite alleles model, with or without taking ploidies and allele frequencies into account. These distances can be used for the calculation of clonal diversity statistics or used for further analysis in R. Allelic diversity statistics and Polymorphic Information Content are also available. polysat can assist the user in estimating the ploidy of samples, and it can estimate allele frequencies in populations, calculate pairwise or global differentiation statistics based on those frequencies, and export allele frequencies to 'SPAGeDi' and 'adegenet'. Functions are also included for assigning alleles to isoloci in cases where one pair of microsatellite primers amplifies alleles from two or more independently segregating isoloci. polysat is described by Clark and Jasieniuk (2011) <doi:10.1111/j.1755-0998.2011.02985.x> and Clark and Schreier (2017) <doi:10.1111/1755-0998.12639>.
Author: Lindsay V. Clark [aut, cre] (<https://orcid.org/0000-0002-3881-9252>), Alistair J. Hall [ctb] (<https://orcid.org/0000-0001-9293-8909>), Handunnethi Nihal de Silva [ctb], Tyler William Smith [ctb] (<https://orcid.org/0000-0001-7683-2653>)
Maintainer: Lindsay V. Clark <lvclark@illinois.edu>

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Package pagedown updated to version 0.2 with previous version 0.1 dated 2019-01-02

Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Romain Lesur [aut, cph] (<https://orcid.org/0000-0002-0721-5595>), Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), RStudio, Inc. [cph], Adam Hyde [ctb] (paged.js in resources/js/), Min-Zhong Lu [ctb] (resume.css in resources/css/), Zulko [ctb] (poster-relaxed.css in resources/css/)
Maintainer: Yihui Xie <xie@yihui.name>

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Package DLMtool updated to version 5.3 with previous version 5.2.3 dated 2018-09-11

Title: Data-Limited Methods Toolkit
Description: Development, simulation testing, and implementation of management procedures for data-limited fisheries (see Carruthers & Hordyk (2018) <doi:10.1111/2041-210X.13081>).
Author: Tom Carruthers [aut, cre], Adrian Hordyk [aut], M. Bryan [ctb], HF. Geremont [ctb], C. Grandin [ctb], W. Harford [ctb], Q. Huynh [ctb], C. Walters [ctb]
Maintainer: Tom Carruthers <t.carruthers@fisheries.ubc.ca>

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Package CorrBin updated to version 1.6 with previous version 1.5 dated 2015-01-05

Title: Nonparametrics with Clustered Binary and Multinomial Data
Description: Implements non-parametric analyses for clustered binary and multinomial data. The elements of the cluster are assumed exchangeable, and identical joint distribution (also known as marginal compatibility, or reproducibility) is assumed for clusters of different sizes. A trend test based on stochastic ordering is implemented.
Author: Aniko Szabo [aut, cre]
Maintainer: Aniko Szabo <aszabo@mcw.edu>

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Package XML updated to version 3.98-1.19 with previous version 3.98-1.18 dated 2019-03-04

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: Duncan Temple Lang and the CRAN Team (including Tomas Kalibera)
Maintainer: ORPHANED

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Package caTools updated to version 1.17.1.2 with previous version 1.17.1.1 dated 2018-07-20

Title: Tools: moving window statistics, GIF, Base64, ROC AUC, etc.
Description: Contains several basic utility functions including: moving (rolling, running) window statistic functions, read/write for GIF and ENVI binary files, fast calculation of AUC, LogitBoost classifier, base64 encoder/decoder, round-off-error-free sum and cumsum, etc.
Author: Jarek Tuszynski <jaroslaw.w.tuszynski@saic.com>
Maintainer: ORPHANED

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New package gprofiler2 with initial version 0.1.0
Package: gprofiler2
Type: Package
Title: Interface to the 'g:Profiler' Toolset
Version: 0.1.0
Author: Liis Kolberg <liis.kolberg@ut.ee>, Uku Raudvere <uku.raudvere@ut.ee>
Maintainer: Liis Kolberg <liis.kolberg@ut.ee>
Description: A toolset for functional enrichment analysis and visualization, gene/protein/SNP identifier conversion and mapping orthologous genes across species via 'g:Profiler' (<https://biit.cs.ut.ee/gprofiler>). The main tools are: (1) 'g:GOSt' - functional enrichment analysis and visualization of gene lists; (2) 'g:Convert' - gene/protein/transcript identifier conversion across various namespaces; (3) 'g:Orth' - orthology search across species; (4) 'g:SNPense' - mapping SNP rs identifiers to chromosome positions, genes and variant effects This package is an R interface corresponding to the 2019 update of 'g:Profiler' and provides access to 'g:Profiler' for versions 'e94_eg41_p11' and higher. See the package 'gProfileR' for accessing older versions from the 'g:Profiler' toolset.
BugReports: https://biit.cs.ut.ee/gprofiler/page/contact
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: jsonlite, RCurl, ggplot2, plotly, tidyr, crosstalk, plyr, grDevices, gridExtra, grid, viridisLite, dplyr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2019-03-01 10:07:09 UTC; Liis
Repository: CRAN
Date/Publication: 2019-03-06 19:30:03 UTC

More information about gprofiler2 at CRAN
Permanent link

Package pavo updated to version 2.1.0 with previous version 2.0.0 dated 2018-09-22

Title: Perceptual Analysis, Visualization and Organization of Spectral Color Data in R
Description: A cohesive framework for parsing, analyzing and organizing color from spectral data.
Author: Rafael Maia [aut, cre] (<https://orcid.org/0000-0002-7563-9795>), Thomas White [aut] (<https://orcid.org/0000-0001-8493-9450>), Hugo Gruson [aut] (<https://orcid.org/0000-0002-4094-1476>), John Endler [aut], Chad Eliason [aut], Pierre-Paul Bitton [aut] (<https://orcid.org/0000-0001-5984-2331>)
Maintainer: Rafael Maia <rm72@zips.uakron.edu>

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 pavo-2.1.0/pavo/man/teal.Rd                        |    2 
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 pavo-2.1.0/pavo/man/vol.Rd                         |   17 
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 pavo-2.1.0/pavo/tests/testthat/test-import.R       |   15 
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New package tacmagic with initial version 0.2.1
Package: tacmagic
Type: Package
Title: Positron Emission Tomography Time-Activity Curve Analysis
Version: 0.2.1
Authors@R: c(person("Eric", "Brown", role = c("aut", "cre"), email = "eb@ericebrown.com", comment = c(ORCID = "0000-0002-1575-2606")), person("Ariel", "Graff-Guerrero", role = "dgs"), person("Jon", "Clayden", role = c("rev"), comment = c(ORCID = "0000-0002-6608-0619", "Jon Clayden reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/280>")), person("Brandon", "Hurr", role = c("rev"), comment = c(ORCID = "0000-0003-2576-4544", "Brandon Hurr reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/280>")))
Description: To facilitate the analysis of positron emission tomography (PET) time activity curve (TAC) data, and to encourage open science and replicability, this package supports data loading and analysis of multiple TAC file formats. Functions are available to analyze loaded TAC data for individual participants or in batches. Major functionality includes weighted TAC merging by region of interest (ROI), calculating models including standardized uptake value ratio (SUVR) and distribution volume ratio (DVR, Logan et al. 1996 <doi:10.1097/00004647-199609000-00008>), basic plotting functions and calculation of cut-off values (Aizenstein et al. 2008 <doi:10.1001/archneur.65.11.1509>). Please see the walkthrough vignette for a detailed overview of 'tacmagic' functions.
Depends: R (>= 3.4)
License: GPL-3
URL: https://github.com/ropensci/tacmagic
BugReports: https://github.com/ropensci/tacmagic
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: graphics, grDevices, pracma, utils, R.matlab
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-05 13:34:44 UTC; ericbrown
Author: Eric Brown [aut, cre] (<https://orcid.org/0000-0002-1575-2606>), Ariel Graff-Guerrero [dgs], Jon Clayden [rev] (<https://orcid.org/0000-0002-6608-0619>, Jon Clayden reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/280>), Brandon Hurr [rev] (<https://orcid.org/0000-0003-2576-4544>, Brandon Hurr reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/280>)
Maintainer: Eric Brown <eb@ericebrown.com>
Repository: CRAN
Date/Publication: 2019-03-06 17:10:05 UTC

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Package ROI.plugin.scs updated to version 0.3-1 with previous version 0.3-0 dated 2017-10-22

Title: 'SCS' Plug-in for the 'R' Optimization Infrastructure
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the 'SCS' solver for solving convex cone problems.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.scs versions 0.3-0 dated 2017-10-22 and 0.3-1 dated 2019-03-06

 DESCRIPTION |    8 ++++----
 MD5         |    6 +++---
 NAMESPACE   |    1 -
 R/plugin.R  |    5 +----
 4 files changed, 8 insertions(+), 12 deletions(-)

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New package RCAL with initial version 1.0
Package: RCAL
Title: Regularized Calibrated Estimation
Version: 1.0
Author: Zhiqiang Tan
Maintainer: Zhiqiang Tan <ztan@stat.rutgers.edu>
URL: http://www.stat.rutgers.edu/~ztan
Description: Regularized calibrated estimation for causal inference and missing-data problems with high-dimensional data, based on Tan (2017) <arXiv:1710.08074> and Tan (2018) <arXiv:1801.09817>.
Depends: R (>= 3.5.0), trust
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-06 14:23:02 UTC; ztan
Repository: CRAN
Date/Publication: 2019-03-06 17:32:58 UTC

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New package predict3d with initial version 0.1.0
Package: predict3d
Type: Package
Title: Draw Three Dimensional Predict Plot Using Package 'rgl'
Version: 0.1.0
URL: https://github.com/cardiomoon/predict3d
BugReports: https://github.com/cardiomoon/predict3d/issues
Authors@R: person("Keon-Woong","Moon", role=c("aut", "cre"),email="cardiomoon@gmail.com")
Description: Draw 2 dimensional and three dimensional plot for multiple regression models using package 'ggplot2' and 'rgl'. Supports linear models (lm), generalized linear models (glm) and local polynomial regression fittings (loess).
Depends: R (>= 2.10)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: ggplot2(>= 3.1.0), rgl(>= 0.99.16), dplyr, ggiraphExtra, modelr, prediction, purrr, rlang, stringr, magrittr, stats, TH.data, reshape2, plyr, tidyr
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-06 14:36:23 UTC; cardiomoon
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 17:30:03 UTC

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New package periscope with initial version 0.4.1
Package: periscope
Type: Package
Title: Enterprise Streamlined 'Shiny' Application Framework
Version: 0.4.1
Authors@R: c( person("Constance", "Brett", email="connie@aggregate-genius.com", role = c("aut", "cre")), person("Isaac", "Neuhaus", role = "aut", comment = "canvasXpress JavaScript Library Maintainer"), person("Ger", "Inberg", role = c("ctb")), person("Bristol-Meyers Squibb (BMS)", role = c("cph")) )
Description: An enterprise-targeted scalable and UI-standardized 'shiny' framework including a variety of developer convenience functions with the goal of both streamlining robust application development while assisting with creating a consistent user experience regardless of application or developer.
URL: https://github.com/cb4ds/periscope.git, http://canvasxpress.org
BugReports: https://github.com/cb4ds/periscope/issues
Repository: CRAN
License: GPL-3
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.3)
Imports: shiny (>= 1.0), shinydashboard (>= 0.5), shinyBS (>= 0.61), logging (>= 0.7-103), lubridate (>= 1.6), DT (>= 0.2), openxlsx (>= 3.0), httr (>= 1.3.1), ggplot2 (>= 2.2)
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-05 16:00:04 UTC; conniebrett
Author: Constance Brett [aut, cre], Isaac Neuhaus [aut] (canvasXpress JavaScript Library Maintainer), Ger Inberg [ctb], Bristol-Meyers Squibb (BMS) [cph]
Maintainer: Constance Brett <connie@aggregate-genius.com>
Date/Publication: 2019-03-06 17:30:07 UTC

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New package PAutilities with initial version 0.1.2
Package: PAutilities
Type: Package
Title: Streamline Physical Activity Research
Version: 0.1.2
Authors@R: c( person( c("Paul", "R."), "Hibbing", email = "paulhibbing@gmail.com", role = c("aut","cre")), person( "Centers for Disease Control and Prevention", role = "ctb"))
Depends: R (>= 2.10)
Description: A collection of utilities that are useful for a broad range of tasks that are common in physical activity research, including the following: creation of Bland-Altman plots, formatted descriptive statistics, metabolic calculations (e.g. basal metabolic rate predictions) and conversions, demographic calculations (age and age-for-body-mass-index percentile), bout analysis of moderate-to-vigorous intensity physical activity, and analysis of bout detection algorithm performance.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/paulhibbing/PAutilities
BugReports: https://github.com/paulhibbing/PAutilities/issues
RoxygenNote: 6.1.1
Imports: AGread (>= 0.1.2), dplyr (>= 0.7), ggplot2 (>= 2.2), graphics, lazyeval (>= 0.2), magrittr (>= 1.5), matchingMarkets (>= 1.0.1), rlang (>= 0.3.1), stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-03-05 07:11:54 UTC; Paul
Author: Paul R. Hibbing [aut, cre], Centers for Disease Control and Prevention [ctb]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 17:14:31 UTC

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New package noteMD with initial version 0.1.0
Package: noteMD
Title: Print Text from 'Shiny' User Interface (Support Markdown Syntax) to Pdf or 'Word' Report
Version: 0.1.0
Authors@R: person("Jiena", "McLellan", email = "jienagu90@gmail.com", role = c("aut", "cre"))
Description: When building a 'shiny' app to generate reports (pdf or 'word'), we can insert a comment box in front-end side for user to write down them notes and use this package to document those notes in reports.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
URL: https://github.com/jienagu/noteMD
BugReports: https://github.com/jienagu/noteMD/issues
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-05 16:49:06 UTC; jiena
Author: Jiena McLellan [aut, cre]
Maintainer: Jiena McLellan <jienagu90@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 17:40:03 UTC

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New package MOTE with initial version 1.0.1
Package: MOTE
Version: 1.0.1
Date: 2019-02-20
Title: Effect Size and Confidence Interval Calculator
Authors@R: c(person("Erin M.", "Buchanan", role = c("aut", "cre"), email = "buchananlab@gmail.com", comment = c(ORCID = "0000-0002-9689-4189")), person("Amber M", "Gillenwaters", role = "aut", comment = c(ORCID = "0000-0002-7580-3591")), person("John E.", "Scofield", role = "aut", comment = c(ORCID = "0000-0001-6345-1181")), person("K. D.", "Valentine", role = "aut", comment = c(ORCID = "0000-0001-6349-5395")))
Depends: R (>= 3.1.0)
Imports: MBESS, stats, ez, reshape
Description: Measure of the Effect ('MOTE') is an effect size calculator, including a wide variety of effect sizes in the mean differences family (all versions of d) and the variance overlap family (eta, omega, epsilon, r). 'MOTE' provides non-central confidence intervals for each effect size, relevant test statistics, and output for reporting in APA Style (American Psychological Association, 2010, <ISBN:1433805618>) with 'LaTeX'. In research, an over-reliance on p-values may conceal the fact that a study is under-powered (Halsey, Curran-Everett, Vowler, & Drummond, 2015 <doi:10.1038/nmeth.3288>). A test may be statistically significant, yet practically inconsequential (Fritz, Scherndl, & Kühberger, 2012 <doi:10.1177/0959354312436870>). Although the American Psychological Association has long advocated for the inclusion of effect sizes (Wilkinson & American Psychological Association Task Force on Statistical Inference, 1999 <doi:10.1037/0003-066X.54.8.594>), the vast majority of peer-reviewed, published academic studies stop short of reporting effect sizes and confidence intervals (Cumming, 2013, <doi:10.1177/0956797613504966>). 'MOTE' simplifies the use and interpretation of effect sizes and confidence intervals. For more information, visit <https://www.aggieerin.com/shiny-server>.
License: LGPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-05 01:20:07 UTC; buchanan
Author: Erin M. Buchanan [aut, cre] (<https://orcid.org/0000-0002-9689-4189>), Amber M Gillenwaters [aut] (<https://orcid.org/0000-0002-7580-3591>), John E. Scofield [aut] (<https://orcid.org/0000-0001-6345-1181>), K. D. Valentine [aut] (<https://orcid.org/0000-0001-6349-5395>)
Maintainer: Erin M. Buchanan <buchananlab@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 17:04:58 UTC

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Package easyPubMed updated to version 2.12 with previous version 2.11 dated 2019-01-23

Title: Search and Retrieve Scientific Publication Records from PubMed
Description: Query NCBI Entrez and retrieve PubMed records in XML or text format. Process PubMed records by extracting and aggregating data from selected fields. A large number of records can be easily downloaded via this simple-to-use interface to the NCBI PubMed API.
Author: Damiano Fantini
Maintainer: Damiano Fantini <damiano.fantini@gmail.com>

Diff between easyPubMed versions 2.11 dated 2019-01-23 and 2.12 dated 2019-03-06

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 easyPubMed-2.12/easyPubMed/MD5                                           |   16 +-
 easyPubMed-2.12/easyPubMed/R/articles_to_list.R                          |   79 ++++++++--
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 13 files changed, 86 insertions(+), 22 deletions(-)

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New package unival with initial version 1.0.1
Package: unival
Type: Package
Title: Assessing Essential Unidimensionality Using External Validity Information
Version: 1.0.1
Date: 2019-03-01
Author: Pere Joan Ferrando, David Navarro-Gonzalez, Urbano Lorenzo-Seva
Maintainer: David Navarro-Gonzalez <david.navarro@urv.cat>
Description: Assess essential unidimensionality using external validity information using the procedure proposed by Ferrando & Lorenzo-Seva (2019) <doi:10.1177/0013164418824755>. Provides two indices for assessing differential and incremental validity, both based on a second-order modelling schema for the general factor.
Depends: R (>= 2.10)
Imports: stats, optimbase, psych
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
RoxygenNote: 6.0.1
Packaged: 2019-03-04 07:28:59 UTC; dng
Repository: CRAN
Date/Publication: 2019-03-06 16:00:03 UTC

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New package toxEval with initial version 1.0.3
Package: toxEval
Type: Package
Title: Exploring Biological Relevance of Environmental Chemistry Observations
Version: 1.0.3
Authors@R: c(person("Laura", "DeCicco", role = c("aut","cre"), email = "ldecicco@usgs.gov", comment=c(ORCID="0000-0002-3915-9487")), person("Steven", "Corsi", role = c("aut"), email = "srcorsi@usgs.gov", comment=c(ORCID="0000-0003-0583-5536")), person("Daniel", "Villeneuve", role = c("aut"), comment=c(ORCID="0000-0003-2801-0203")), person("Brett", "Blackwell", role = c("aut")), person("Gerald", "Ankley", role = c("aut"), comment=c(ORCID="0000-0002-9937-615X")), person("Alison", "Appling", role = "rev", comment = "Reviewed for USGS"), person("Dalma", "Martinovic", role = "rev", comment = "Reviewed for USGS"))
Description: Data analysis package for estimating potential biological effects from chemical concentrations in environmental samples. Included are a set of functions to analyze, visualize, and organize measured concentration data as it relates to user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological relevance of environmental chemistry data. Results can be used to prioritize which chemicals at which sites may be of greatest concern. These methods are meant to be used as a screening technique to predict potential for biological influence from chemicals that ultimately need to be validated with direct biological assays. A description of the analysis can be found in Blackwell et al. (2017) <doi:10.1021/acs.est.7b01613>.
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www.usgs.gov/visual-id/credit_usgs.html#copyright
Depends: R (>= 3.0)
Imports: dplyr, tidyr, DT (>= 0.1.24), leaflet (>= 1.0.0), ggplot2 (>= 3.0.0), magrittr, shiny, shinydashboard, RColorBrewer, readxl, tools, shinyAce, shinycssloaders
Suggests: rmarkdown, testthat, knitr
BugReports: https://github.com/USGS-R/toxEval/issues
VignetteBuilder: knitr
BuildVignettes: true
LazyLoad: yes
LazyData: yes
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-04 17:18:42 UTC; ldecicco
Author: Laura DeCicco [aut, cre] (<https://orcid.org/0000-0002-3915-9487>), Steven Corsi [aut] (<https://orcid.org/0000-0003-0583-5536>), Daniel Villeneuve [aut] (<https://orcid.org/0000-0003-2801-0203>), Brett Blackwell [aut], Gerald Ankley [aut] (<https://orcid.org/0000-0002-9937-615X>), Alison Appling [rev] (Reviewed for USGS), Dalma Martinovic [rev] (Reviewed for USGS)
Maintainer: Laura DeCicco <ldecicco@usgs.gov>
Repository: CRAN
Date/Publication: 2019-03-06 16:40:03 UTC

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New package objectremover with initial version 0.6.4
Package: objectremover
Title: 'RStudio' Addin for Removing Objects from the Global Environment Based on Patterns and Object Type
Version: 0.6.4
Authors@R: person("Alan", "Yeung", email = "alan_y987@hotmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5226-3695"))
Maintainer: Alan Yeung <alan_y987@hotmail.com>
Description: An 'RStudio' addin to assist with removing objects from the global environment. Features include removing objects according to name patterns and object type. During the course of an analysis, temporary objects are often created and this tool assists with removing them quickly. This can be useful when memory management within 'R' is important.
Depends: R (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/alan-y/objectremover
BugReports: https://github.com/alan-y/objectremover/issues
LazyData: true
RoxygenNote: 6.1.1
Imports: shiny, miniUI, rstudioapi
NeedsCompilation: no
Packaged: 2019-03-04 21:12:39 UTC; alanye01
Author: Alan Yeung [aut, cre] (<https://orcid.org/0000-0001-5226-3695>)
Repository: CRAN
Date/Publication: 2019-03-06 16:50:04 UTC

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New package mwshiny with initial version 0.1.0
Package: mwshiny
Type: Package
Title: 'Shiny' for Multiple Windows
Version: 0.1.0
Date: 2019-02-25
Authors@R: c( person("Hannah", "De los Santos", email = "delosh@rpi.edu", role = c("aut","cre")), person("John", "Erickson", role = c("aut")), person("Nicholas", "Thomson", role = c("ctb")), person("Kristin", "Bennett", role = c("aut")) )
Maintainer: Hannah De los Santos <delosh@rpi.edu>
Description: A simple function, mwsApp(), that runs a 'shiny' app spanning multiple, connected windows. This uses all standard 'shiny' conventions, and depends only on the 'shiny' package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: shiny (>= 1.2.0)
Suggests: knitr, rmarkdown, ggplot2 (>= 3.1.0), datasets (>= 3.5.1)
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-05 01:01:51 UTC; delosh
Author: Hannah De los Santos [aut, cre], John Erickson [aut], Nicholas Thomson [ctb], Kristin Bennett [aut]
Repository: CRAN
Date/Publication: 2019-03-06 17:00:03 UTC

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Package lineup updated to version 0.37-11 with previous version 0.37-10 dated 2018-03-23

Title: Lining Up Two Sets of Measurements
Description: Tools for detecting and correcting sample mix-ups between two sets of measurements, such as between gene expression data on two tissues.
Author: Karl W Broman <broman@wisc.edu>
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between lineup versions 0.37-10 dated 2018-03-23 and 0.37-11 dated 2019-03-06

 lineup-0.37-10/lineup/inst/LICENSE.md                   |only
 lineup-0.37-11/lineup/ChangeLog                         |   10 +
 lineup-0.37-11/lineup/DESCRIPTION                       |   15 +-
 lineup-0.37-11/lineup/MD5                               |   88 ++++++++--------
 lineup-0.37-11/lineup/R/calc.locallod.R                 |    2 
 lineup-0.37-11/lineup/R/combinedist.R                   |    2 
 lineup-0.37-11/lineup/R/corbetw2mat.R                   |    2 
 lineup-0.37-11/lineup/R/distee.R                        |    4 
 lineup-0.37-11/lineup/R/disteg.R                        |    2 
 lineup-0.37-11/lineup/R/find.gene.pseudomarker.R        |    2 
 lineup-0.37-11/lineup/R/findCommonID.R                  |    2 
 lineup-0.37-11/lineup/R/fscale.R                        |    2 
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New package GCalcium with initial version 1.0.0
Package: GCalcium
Type: Package
Title: A Data Manipulation and Analysis Package for Calcium Indicator Data
Version: 1.0.0
Author: Andrew Tamalunas
Maintainer: Andrew Tamalunas <atamalu@g.clemson.edu>
Description: Provides shortcuts in extracting useful data points and summarizing waveform data. It is optimized for speed to work efficiently with large data sets so you can get to the analysis phase more quickly. It also utilizes a user-friendly format for use by both beginners and seasoned R users.
Depends: R (>= 2.10)
Imports: stats, graphics, caTools, dplyr
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-03-04 22:59:12 UTC; Tamu
Repository: CRAN
Date/Publication: 2019-03-06 16:53:27 UTC

More information about GCalcium at CRAN
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Package gastempt updated to version 0.4.4 with previous version 0.4.3 dated 2018-11-10

Title: Analyzing Gastric Emptying from MRI or Scintigraphy
Description: Fits gastric emptying time series from MRI or scintigraphic measurements using nonlinear mixed-model population fits with 'nlme' and Bayesian methods with Stan; computes derived parameters such as t50 and AUC.
Author: Dieter Menne [aut, cre]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

Diff between gastempt versions 0.4.3 dated 2018-11-10 and 0.4.4 dated 2019-03-06

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More information about gastempt at CRAN
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Package fungible updated to version 1.80 with previous version 1.79 dated 2019-03-01

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568, <DOI:10.1080/00273171.2016.1178566>. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings matrices. Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>.
Author: Niels Waller [aut, cre], Jeff Jones [ctb], Casey Giordano [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

Diff between fungible versions 1.79 dated 2019-03-01 and 1.80 dated 2019-03-06

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New package emld with initial version 0.2.0
Package: emld
Title: Ecological Metadata as Linked Data
Version: 0.2.0
Authors@R: person("Carl", "Boettiger", email = "cboettig@gmail.com", role = c("aut", "cre", "cph"), comment=c(ORCID = "http://orcid.org/0000-0002-1642-628X"))
Description: This is a utility for transforming Ecological Metadata Language ('EML') files into 'JSON-LD' and back into 'EML.' Doing so creates a list-based representation of 'EML' in R, so that 'EML' data can easily be manipulated using standard 'R' tools. This makes this package an effective backend for other 'R'-based tools working with 'EML.' By abstracting away the complexity of 'XML' Schema, developers can build around native 'R' list objects and not have to worry about satisfying many of the additional constraints of set by the schema (such as element ordering, which is handled automatically). Additionally, the 'JSON-LD' representation enables the use of developer-friendly 'JSON' parsing and serialization that may facilitate the use of 'EML' in contexts outside of 'R,' as well as the informatics-friendly serializations such as 'RDF' and 'SPARQL' queries.
URL: https://github.com/ropensci/emld
BugReports: https://github.com/ropensci/emld/issues
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: spelling, testthat, magrittr, rmarkdown, covr, knitr, rdflib, jqr
Imports: xml2, jsonlite, jsonld, methods, yaml
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2019-03-04 19:20:01 UTC; cboettig
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>)
Maintainer: Carl Boettiger <cboettig@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 16:42:53 UTC

More information about emld at CRAN
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Package adamethods updated to version 1.2 with previous version 1.1 dated 2018-11-26

Title: Archetypoid Algorithms and Anomaly Detection
Description: Collection of several algorithms to obtain archetypoids with small and large databases and with both classical multivariate data and functional data (univariate and multivariate). Some of these algorithms also allow to detect anomalies (outliers).
Author: Guillermo Vinue, Irene Epifanio
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

Diff between adamethods versions 1.1 dated 2018-11-26 and 1.2 dated 2019-03-06

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 69 files changed, 350 insertions(+), 200 deletions(-)

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New package wavScalogram with initial version 0.1.0
Package: wavScalogram
Type: Package
Title: Wavelet Scalogram Tools for Time Series Analysis
Version: 0.1.0
Author: Vicente J. Bolos and Rafael Benitez
Maintainer: Vicente J. Bolos <vicente.bolos@uv.es>
Description: Provides scalogram based wavelet tools for time series analysis: wavelet power spectrum, scalogram, windowed scalogram, windowed scalogram difference (see Bolos et al. (2017) <doi:10.1016/j.amc.2017.05.046>), scale index and windowed scale index (Benitez et al. (2010) <doi:10.1016/j.camwa.2010.05.010>).
Imports: abind, colorRamps, fields, Matrix, parallel, zoo
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-03-04 09:01:37 UTC; Vicente
Repository: CRAN
Date/Publication: 2019-03-06 15:30:03 UTC

More information about wavScalogram at CRAN
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New package vqtl with initial version 2.0.5
Package: vqtl
Title: Genome Scans to Accommodate and Target Genetic and Non-Genetic Effects on Trait Variance in Test Crosses
Version: 2.0.5
Authors@R: person("Robert", "Corty", email = "rcorty@gmail.com", role = c("aut", "cre"))
Description: In recognition that there are many factors (genetic loci, macro- genetic factors such as sex, and environmental factors) that influence the extent of environmental variation, the 'vqtl' package conducts genome scans that accommodate and target these factors. The main functions of this package, scanonevar() and scanonevar.perm() take as input a cross object from the popular 'qtl' package, as described in Corty and Valdar (2019) <doi:10.1534/g3.118.200642>.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Imports: doParallel, foreach, iterators, parallel, knitr, dplyr, dglm, evd, ggplot2, gtools, lazyeval, stringr, tidyr, testthat, purrr, qtl
Suggests: covr
NeedsCompilation: no
Packaged: 2019-03-05 22:59:27 UTC; rcorty
Author: Robert Corty [aut, cre]
Maintainer: Robert Corty <rcorty@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 15:20:02 UTC

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New package stacomiR with initial version 0.5.4.2
Package: stacomiR
Version: 0.5.4.2
Date: 2019-02-12
Title: Fish Migration Monitoring
Authors@R: c(person("Cedric", "Briand", role = c("aut", "cre"), email = "cedric.briand00@gmail.com"), person("Marion", "Legrand", role = "aut", email="tableau-salt-loire@logrami.fr"), person("Timothee", "Besse", role = "aut", email="tableau-ang-loire@logrami.fr"))
Description: Graphical outputs and treatment for a database of fish pass monitoring. It is a part of the 'STACOMI' open source project developed in France by the French Agency for Biodiversity (AFB) institute to centralize data obtained by fish pass monitoring. This version is available in French and English. See <http://stacomir.r-forge.r-project.org/> for more information on 'STACOMI'.
License: GPL (>= 2)
URL: http://stacomir.r-forge.r-project.org/
BugReports: https://github.com/MarionLegrandLogrami/stacomiR/issues
Collate: 'create_generic.R' 'data.R' 'fun_table_per_dis.R' 'fun_write_monthly.R' 'fungraph.R' 'fungraph_glasseel.R' 'funstat.R' 'funstat_daily.R' 'funtable.R' 'interface_report_annual.R' 'interface_report_dc.R' 'interface_report_df.R' 'interface_report_env.R' 'interface_report_ge_weight.R' 'interface_report_mig.R' 'interface_report_mig_char.R' 'interface_report_mig_env.R' 'interface_report_mig_interannual.R' 'interface_report_mig_mult.R' 'interface_report_sample_char.R' 'interface_report_sea_age.R' 'interface_report_silver_eel.R' 'interface_report_species.R' 'ref_checkbox.R' 'ref_choice.R' 'ref_coe.R' 'ref_dc.R' 'ref_df.R' 'ref_env.R' 'ref_horodate.R' 'ref_list.R' 'ref_par.R' 'ref_parqual.R' 'ref_parquan.R' 'ref_period.R' 'ref_stage.R' 'ref_taxa.R' 'ref_textbox.R' 'ref_timestep.R' 'ref_timestep_daily.R' 'ref_year.R' 'report_annual.R' 'report_dc.R' 'report_df.R' 'utilities.R' 'report_env.R' 'report_ge_weight.R' 'report_ope.R' 'report_mig.R' 'report_sample_char.R' 'report_mig_char.R' 'report_mig_mult.R' 'report_mig_env.R' 'report_mig_interannual.R' 'report_sea_age.R' 'report_silver_eel.R' 'report_species.R' 'setAs.R' 'stacomi.R'
LazyLoad: yes
LazyData: true
Depends: R (>= 3.5.0), methods, stacomirtools, RODBC
Imports: magrittr, intervals, RColorBrewer, stringr, gWidgets, gWidgetsRGtk2, RPostgreSQL, ggplot2, reshape2, sqldf, graphics, utils, stats, lattice, grDevices, Hmisc (>= 4.1-1), RGtk2, lubridate, dplyr, xtable, mgcv
Suggests: testthat, viridis, knitr, rmarkdown
Author: Cedric Briand [aut, cre], Marion Legrand [aut], Timothee Besse [aut]
Maintainer: Cedric Briand <cedric.briand00@gmail.com>
RoxygenNote: 6.1.0.9000
NeedsCompilation: no
VignetteBuilder: knitr
Repository: CRAN
Repository/R-Forge/Project: stacomir
Repository/R-Forge/Revision: 548
Repository/R-Forge/DateTimeStamp: 2019-02-12 09:08:05
Date/Publication: 2019-03-06 15:20:06 UTC
Packaged: 2019-02-12 09:12:33 UTC; rforge

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Package scs updated to version 1.2-3 with previous version 1.1-1 dated 2016-02-23

Title: Splitting Conic Solver
Description: Solves convex cone programs via operator splitting. Can solve: linear programs (LPs), second-order cone programs (SOCPs), semidefinite programs (SDPs), exponential cone programs (ECPs), and power cone programs (PCPs), or problems with any combination of those cones. SCS uses AMD (a set of routines for permuting sparse matrices prior to factorization) and LDL (a sparse LDL' factorization and solve package) from 'SuiteSparse' (<http://www.suitesparse.com>).
Author: Florian Schwendinger [ctb, cre], Brendan O'Donoghue [aut, cph], Timothy A. Davis [cph], Patrick R. Amestory [cph], Iain S. Duff [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between scs versions 1.1-1 dated 2016-02-23 and 1.2-3 dated 2019-03-06

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 scs-1.2-3/scs/src/scs/include/cs.h                                |   39 
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 scs-1.2-3/scs/src/scs/include/scs_blas.h                          |   41 
 scs-1.2-3/scs/src/scs/include/util.h                              |   63 
 scs-1.2-3/scs/src/scs/linsys/amatrix.h                            |   14 
 scs-1.2-3/scs/src/scs/linsys/common.c                             |  510 +-
 scs-1.2-3/scs/src/scs/linsys/common.h                             |   11 
 scs-1.2-3/scs/src/scs/linsys/direct/external/SuiteSparse_config.h |    5 
 scs-1.2-3/scs/src/scs/linsys/direct/external/amd.h                |   66 
 scs-1.2-3/scs/src/scs/linsys/direct/external/amd_1.c              |    4 
 scs-1.2-3/scs/src/scs/linsys/direct/external/amd_2.c              |   26 
 scs-1.2-3/scs/src/scs/linsys/direct/external/amd_aat.c            |   24 
 scs-1.2-3/scs/src/scs/linsys/direct/external/amd_info.c           |   40 
 scs-1.2-3/scs/src/scs/linsys/direct/external/amd_internal.h       |    4 
 scs-1.2-3/scs/src/scs/linsys/direct/external/amd_order.c          |   36 
 scs-1.2-3/scs/src/scs/linsys/direct/external/ldl.c                |    2 
 scs-1.2-3/scs/src/scs/linsys/direct/private.c                     |  418 +-
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 scs-1.2-3/scs/src/scs/src/accel.c                                 |only
 scs-1.2-3/scs/src/scs/src/cones.c                                 | 1409 ++++---
 scs-1.2-3/scs/src/scs/src/cs.c                                    |  276 -
 scs-1.2-3/scs/src/scs/src/ctrlc.c                                 |   67 
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 scs-1.2-3/scs/src/scs/src/scs.c                                   | 1780 +++++-----
 scs-1.2-3/scs/src/scs/src/scs_version.c                           |    7 
 scs-1.2-3/scs/src/scs/src/util.c                                  |  344 +
 scs-1.2-3/scs/src/scs/test                                        |only
 scs-1.2-3/scs/src/scs_init.c                                      |only
 scs-1.2-3/scs/src/scsr.c                                          |  432 +-
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 54 files changed, 3439 insertions(+), 3130 deletions(-)

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Package RInside updated to version 0.2.15 with previous version 0.2.14 dated 2017-05-04

Title: C++ Classes to Embed R in C++ Applications
Description: C++ classes to embed R in C++ applications A C++ class providing the R interpreter is offered by this package making it easier to have "R inside" your C++ application. As R itself is embedded into your application, a shared library build of R is required. This works on Linux, OS X and even on Windows provided you use the same tools used to build R itself. d Numerous examples are provided in the eight subdirectories of the examples/ directory of the installed package: standard, 'mpi' (for parallel computing), 'qt' (showing how to embed 'RInside' inside a Qt GUI application), 'wt' (showing how to build a "web-application" using the Wt toolkit), 'armadillo' (for 'RInside' use with 'RcppArmadillo') and 'eigen' (for 'RInside' use with 'RcppEigen'). The examples use 'GNUmakefile(s)' with GNU extensions, so a GNU make is required (and will use the 'GNUmakefile' automatically). 'Doxygen'-generated documentation of the C++ classes is available at the 'RInside' website as well.
Author: Dirk Eddelbuettel and Romain Francois
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RInside versions 0.2.14 dated 2017-05-04 and 0.2.15 dated 2019-03-06

 ChangeLog           |   33 +++++++++++++++++++++++++++++++++
 DESCRIPTION         |   39 ++++++++++++++++++---------------------
 MD5                 |   14 +++++++-------
 README.md           |    4 ++--
 inst/NEWS.Rd        |   16 +++++++++++++++-
 src/Makevars.win    |    2 +-
 src/RInside.cpp     |   41 ++++++++++++++++++++++++++---------------
 src/setenv/setenv.c |   12 ++++++++++--
 8 files changed, 112 insertions(+), 49 deletions(-)

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New package rasterize with initial version 0.1
Package: rasterize
Type: Package
Title: Rasterize Graphical Output
Version: 0.1
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Description: Provides R functions to selectively rasterize components of 'grid' output.
Depends: grid
Imports: grDevices, png
ByteCompile: TRUE
URL: https://github.com/pmur002/rasterize, https://stattech.wordpress.fos.auckland.ac.nz/2018/05/25/2018-05-selective-raster-graphics/
License: GPL-3
NeedsCompilation: no
Packaged: 2019-03-04 02:40:50 UTC; pmur002
Repository: CRAN
Date/Publication: 2019-03-06 15:30:06 UTC

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Package radiant.design updated to version 0.9.9 with previous version 0.9.7 dated 2018-10-06

Title: Design Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Design menu includes interfaces for design of experiments, sampling, and sample size calculation. The application extends the functionality in radiant.data.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.design versions 0.9.7 dated 2018-10-06 and 0.9.9 dated 2019-03-06

 DESCRIPTION                                      |   14 +-
 MD5                                              |   53 +++----
 NAMESPACE                                        |   73 +++++-----
 NEWS.md                                          |    7 +
 R/radiant.R                                      |   15 +-
 R/sample_size.R                                  |   17 +-
 R/sample_size_comp.R                             |  159 +++++++++++++++++------
 R/sampling.R                                     |    2 
 inst/app/tools/analysis/doe_ui.R                 |    2 
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 man/plot.sample_size_comp.Rd                     |only
 man/radiant.design.Rd                            |    7 -
 man/radiant.design_viewer.Rd                     |    7 -
 man/radiant.design_window.Rd                     |    7 -
 man/sample_size.Rd                               |    2 
 man/sample_size_comp.Rd                          |    6 
 tests/testthat/test_stats.R                      |   59 ++++++++
 28 files changed, 430 insertions(+), 189 deletions(-)

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Package radiant.basics updated to version 0.9.9 with previous version 0.9.7 dated 2018-10-06

Title: Basics Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Basics menu includes interfaces for probability calculation, central limit theorem simulation, comparing means and proportions, goodness-of-fit testing, cross-tabs, and correlation. The application extends the functionality in radiant.data.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.basics versions 0.9.7 dated 2018-10-06 and 0.9.9 dated 2019-03-06

 DESCRIPTION                                           |   14 ++--
 MD5                                                   |   62 +++++++++---------
 NEWS.md                                               |   20 +++++
 R/aaa.R                                               |    2 
 R/compare_means.R                                     |   30 ++++----
 R/compare_props.R                                     |   27 ++++---
 R/correlation.R                                       |    4 -
 R/cross_tabs.R                                        |    4 -
 R/goodness.R                                          |    4 -
 R/radiant.R                                           |   15 +++-
 R/single_mean.R                                       |    6 -
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 inst/app/tools/help/clt.md                            |    2 
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 man/radiant.basics.Rd                                 |    7 +-
 man/radiant.basics_viewer.Rd                          |    7 +-
 man/radiant.basics_window.Rd                          |    7 +-
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 tests/testthat/test_stats.R                           |    4 -
 32 files changed, 236 insertions(+), 124 deletions(-)

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New package hettx with initial version 0.1.1
Package: hettx
Type: Package
Title: Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation
Version: 0.1.1
Date: 2019-03-02
Authors@R: c( person("Peng", "Ding", email = "pengdingpku@berkeley.edu", role = "aut"), person("Avi", "Feller", email = "afeller@berkeley.edu", role = "aut"), person("Ben", "Fifield", email = "benfifield@gmail.com", role = c("aut", "cre")), person("Luke", "Miratrix", email = "lmiratrix@g.harvard.edu", role = "aut") )
Description: Implements methods developed by Ding, Feller, and Miratrix (2016) <doi:10.1111/rssb.12124> <arXiv:1412.5000>, and Ding, Feller, and Miratrix (2018) <doi:10.1080/01621459.2017.1407322> <arXiv:1605.06566> for testing whether there is unexplained variation in treatment effects across observations, and for characterizing the extent of the explained and unexplained variation in treatment effects. The package includes wrapper functions implementing the proposed methods, as well as helper functions for analyzing and visualizing the results of the test.
License: GPL (>= 3)
Imports: quantreg, plyr, mvtnorm, MASS, foreach, parallel, doParallel, moments, formula.tools, purrr, dplyr, tidyverse
Depends: R (>= 2.14.0)
BugReports: https://github.com/bfifield/detect_heteffects/issues
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-02 18:51:21 UTC; benfifield
Author: Peng Ding [aut], Avi Feller [aut], Ben Fifield [aut, cre], Luke Miratrix [aut]
Maintainer: Ben Fifield <benfifield@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 15:20:32 UTC

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Package CoDiNA updated to version 1.1.1 with previous version 1.1 dated 2018-07-06

Title: Co-Expression Differential Network Analysis
Description: Categorize links and nodes from multiple networks in 3 categories: Common links (alpha) specific links (gamma), and different links (beta). Also categorizes the links into sub-categories and groups. The package includes a visualization tool for the networks. More information about the methodology can be found at: Gysi et. al., 2018 <arXiv:1802.00828>.
Author: Deisy Morselli Gysi, Tiago de Miranda Fragoso, Eivind Almaas and Katja Nowick.
Maintainer: Deisy Morselli Gysi <deisy@bioinf.uni-leipzig.de>

Diff between CoDiNA versions 1.1 dated 2018-07-06 and 1.1.1 dated 2019-03-06

 DESCRIPTION                  |   10 
 MD5                          |   50 +--
 NAMESPACE                    |   80 ++---
 R/as.igraph.R                |   69 ++--
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 inst/doc/Running-CoDiNA.html |  478 +++++++++++++++---------------
 man/Categorize.Rd            |   40 +-
 man/ClusterNodes.Rd          |   48 +--
 man/CreateFullBase.Rd        |   46 +-
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 man/normalize.Rd             |   42 +-
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 man/print.CoDiNA.Rd          |   60 +--
 man/summary.CoDiNA.Rd        |   60 +--
 26 files changed, 1269 insertions(+), 1237 deletions(-)

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Package BTLLasso updated to version 0.1-9 with previous version 0.1-8 dated 2019-02-21

Title: Modelling Heterogeneity in Paired Comparison Data
Description: Performs 'BTLLasso' as described by Schauberger and Tutz (2019): BTLLasso - A Common Framework and Software Package for the Inclusion and Selection of Covariates in Bradley-Terry Models, Journal of Statistical Software, to appear) and Schauberger and Tutz (2017) <doi:10.1177/1471082X17693086>. BTLLasso is a method to include different types of variables in paired comparison models and, therefore, to allow for heterogeneity between subjects. Variables can be subject-specific, object-specific and subject-object-specific and can have an influence on the attractiveness/strength of the objects. Suitable L1 penalty terms are used to cluster certain effects and to reduce the complexity of the models.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between BTLLasso versions 0.1-8 dated 2019-02-21 and 0.1-9 dated 2019-03-06

 DESCRIPTION               |   15 ++++++---------
 MD5                       |   16 ++++++++--------
 NAMESPACE                 |    2 +-
 R/boot.BTLLasso.R         |    2 +-
 man/boot.BTLLasso.Rd      |    4 ++--
 man/ctrl.BTLLasso.Rd      |   15 ++++++++-------
 man/cv.BTLLasso.Rd        |    4 ++--
 man/paths.Rd              |    3 ++-
 man/plot.boot.BTLLasso.Rd |    6 +++---
 9 files changed, 33 insertions(+), 34 deletions(-)

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New package aweek with initial version 0.1.0
Package: aweek
Title: Convert Dates to Arbitrary Week Definitions
Version: 0.1.0
Authors@R: person(c("Zhian N."), "Kamvar", email = "zkamvar@gmail.com", role = c("aut", "cre"))
Description: Which day a week starts depends heavily on the either the local or professional context. This package is designed to be a lightweight solution to easily switching between week-based date definitions.
Depends: R (>= 3.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, roxygen2, knitr, covr
RoxygenNote: 6.1.1
URL: https://github.com/reconhub/aweek
BugReports: https://github.com/reconhub/aweek/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-03 20:38:04 UTC; zhian
Author: Zhian N. Kamvar [aut, cre]
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 15:10:02 UTC

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New package slideview with initial version 0.1.0
Package: slideview
Type: Package
Title: Compare Raster Images Side by Side with a Slider
Version: 0.1.0
Date: 2019-02-11
Authors@R: c(person(given = "Tim", family = "Appelhans", role = c("cre", "aut"), email = "tim.appelhans@gmail.com"), person(given = "Stefan", family = "Woellauer", role = "aut", email = "stephan.woellauer@geo.uni-marburg.de"))
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>
Description: Create a side-by-side view of raster(image)s with an interactive slider to switch between regions of the images. This can be especially useful for image comparison of the same region at different time stamps.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10), methods
Imports: htmltools, htmlwidgets, lattice, raster, viridisLite
Suggests: jpeg
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-03-03 19:13:58 UTC; timpanse
Author: Tim Appelhans [cre, aut], Stefan Woellauer [aut]
Repository: CRAN
Date/Publication: 2019-03-06 15:00:03 UTC

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New package sensobol with initial version 0.1.0
Package: sensobol
Title: Computation of High-Order Sobol' Sensitivity Indices
Version: 0.1.0
Authors@R: c(person(given = "Arnald", family = "Puy", role = c("aut", "cre"), email = "arnald.puy@gmail.com", comment = c(ORCID = "https://orcid.org/0000-0001-9469-2156")), person("Bertrand", "Ioos", role = "ctb", comment = "Author of included 'sensitivity' fragments"), person("Gilles", "Pujol", role = "ctb", comment = "Author of included 'sensitivity' fragments"), person("RStudio", role = "cph", comment = "Copyright holder of included 'sensitivity' fragments"))
Description: It allows to rapidly compute, bootstrap and plot up to third-order Sobol' indices using the estimators by Saltelli et al. 2010 <doi:10.1016/j.cpc.2009.09.018> and Jansen 1999 <doi:10.1016/S0010-4655(98)00154-4>. The 'sensobol' package also implements the algorithm by Khorashadi Zadeh et al. 2017 <doi:10.1016/j.envsoft.2017.02.001 > to calculate the approximation error in the computation of Sobol' first and total indices, an approach that allows to robustly screen influential from non-influential model inputs. Finally, it also provides functions to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis.
License: GPL-3
Encoding: UTF-8
Imports: boot (>= 1.3.20), data.table (>= 1.12.0), ggplot2 (>= 3.1.0), magrittr (>= 1.5), parallel, randtoolbox (>= 1.17.1), Rdpack (>= 0.7), rlang (>= 0.3.1), scales (>= 1.0.0), stats, stringr (>= 1.4.0), utils
RdMacros: Rdpack
LazyData: true
Depends: R (>= 3.4.0)
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
URL: http://github.com/arnaldpuy/sensobol
BugReports: http://github.com/arnaldpuy/sensobol/issues
NeedsCompilation: no
Packaged: 2019-03-01 08:07:22 UTC; arnald
Author: Arnald Puy [aut, cre] (<https://orcid.org/0000-0001-9469-2156>), Bertrand Ioos [ctb] (Author of included 'sensitivity' fragments), Gilles Pujol [ctb] (Author of included 'sensitivity' fragments), RStudio [cph] (Copyright holder of included 'sensitivity' fragments)
Maintainer: Arnald Puy <arnald.puy@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 13:10:03 UTC

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New package lenses with initial version 0.0.3
Package: lenses
Version: 0.0.3
Title: Elegant Data Manipulation with Lenses
Description: Provides tools for creating and using lenses to simplify data manipulation. Lenses are composable getter/setter pairs for working with data in a purely functional way. Inspired by the 'Haskell' library 'lens' (Kmett, 2012) <https://hackage.haskell.org/package/lens>. For a fairly comprehensive (and highly technical) history of lenses please see the 'lens' wiki <https://github.com/ekmett/lens/wiki/History-of-Lenses>.
Authors@R: c(person("Chris", "Hammill", , "cfhammill@gmail.com", c("aut", "cre", "trl")), person("Ben", "Darwin", , "", c("aut", "trl")))
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1
URL: http://cfhammill.github.io/lenses, https://github.com/cfhammill/lenses
BugReports: https://github.com/cfhammill/lenses/issues
Suggests: testthat
Imports: magrittr, tidyselect, rlang
Collate: 'verbs.R' 'lens.R' 'array-lenses.R' 'base-lenses.R' 'utils.R' 'dataframe-lenses.R' 'utils-pipe.R'
NeedsCompilation: no
Packaged: 2019-03-03 17:00:51 UTC; chammill
Author: Chris Hammill [aut, cre, trl], Ben Darwin [aut, trl]
Maintainer: Chris Hammill <cfhammill@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 14:40:03 UTC

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New package networkABC with initial version 0.5-3
Package: networkABC
Type: Package
Title: Network Reverse Engineering with Approximate Bayesian Computation
Version: 0.5-3
Date: 2019-02-25
Depends: R (>= 3.0.0)
Imports: RColorBrewer, network, sna
Suggests: PCIT, ggplot2, knitr
Authors@R: c( person(given = "Frederic", family= "Bertrand", role = c("cre", "aut"), email = "frederic.bertrand@math.unistra.fr", comment = c(ORCID = "0000-0002-0837-8281")), person(given = "Myriam", family= "Maumy-Bertrand", role = c("aut"), email = "myriam.maumy-bertrand@math.unistra.fr", comment = c(ORCID = "0000-0002-4615-1512")), person(given = "Khadija", family= "Musayeva", role = c("ctb"), email = "khadija@musayeva.net"), person(given = "Nicolas", family= "Jung", role = c("ctb"), email = "nicolas.jung@unistra.fr"), person(family = "Université de Strasbourg", role = c("cph")), person(family = "CNRS", role = c("cph")))
Author: Frederic Bertrand [cre, aut] (<https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>), Khadija Musayeva [ctb], Nicolas Jung [ctb], Université de Strasbourg [cph], CNRS [cph]
Maintainer: Frederic Bertrand <frederic.bertrand@math.unistra.fr>
Description: We developed an inference tool based on approximate Bayesian computation to decipher network data and assess the strength of the inferred links between network's actors. It is a new multi-level approximate Bayesian computation (ABC) approach. At the first level, the method captures the global properties of the network, such as scale-freeness and clustering coefficients, whereas the second level is targeted to capture local properties, including the probability of each couple of genes being linked. Up to now, Approximate Bayesian Computation (ABC) algorithms have been scarcely used in that setting and, due to the computational overhead, their application was limited to a small number of genes. On the contrary, our algorithm was made to cope with that issue and has low computational cost. It can be used, for instance, for elucidating gene regulatory network, which is an important step towards understanding the normal cell physiology and complex pathological phenotype. Reverse-engineering consists in using gene expressions over time or over different experimental conditions to discover the structure of the gene network in a targeted cellular process. The fact that gene expression data are usually noisy, highly correlated, and have high dimensionality explains the need for specific statistical methods to reverse engineer the underlying network.
NeedsCompilation: yes
License: GPL-3
Encoding: UTF-8
Classification/MSC: 62E17, 62F15, 62J07, 62P10, 92C42
VignetteBuilder: knitr
URL: http://www-irma.u-strasbg.fr/~fbertran/, https://github.com/fbertran/networkABC
BugReports: https://github.com/fbertran/networkABC/issues
RoxygenNote: 6.1.1
Packaged: 2019-03-01 09:48:06 UTC; fbertran
Repository: CRAN
Date/Publication: 2019-03-06 13:10:07 UTC

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New package ggupset with initial version 0.1.0
Package: ggupset
Type: Package
Title: Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots
Version: 0.1.0
URL: https://github.com/const-ae/ggupset
BugReports: https://github.com/const-ae/ggupset/issues
Authors@R: person("Constantin", "Ahlmann-Eltze", email = "artjom31415@googlemail.com", role = c("aut", "cre"))
Description: Replace the standard x-axis in 'ggplots' with a combination matrix to visualize complex set overlaps. 'UpSet' has introduced a new way to visualize the overlap of sets as an alternative to Venn diagrams. This package provides a simple way to produce such plots using 'ggplot2'. In addition it can convert any categorical axis into a combination matrix axis.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
Suggests: testthat
Imports: ggplot2, gtable, grid, tibble, rlang, scales
NeedsCompilation: no
Packaged: 2019-03-01 15:51:35 UTC; constantin
Author: Constantin Ahlmann-Eltze [aut, cre]
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>
Repository: CRAN
Date/Publication: 2019-03-06 13:30:03 UTC

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New package ClustBlock with initial version 1.0.0
Package: ClustBlock
Title: Clustering of Datasets
Version: 1.0.0
Authors@R: c(person("Fabien", "Llobell", email = "fabien.llobell@oniris-nantes.fr", role = c("aut","cre"), comment="Oniris/XLSTAT"), person("Evelyne", "Vigneau", email = "evelyne.vigneau@oniris-nantes.fr", role = "ctb", comment="Oniris"), person("Veronique", "Cariou", email = "veronique.cariou@oniris-nantes.fr", role = "ctb", comment="Oniris"), person("El Mostafa", "Qannari", email = "elmostafa.qannari@oniris-nantes.fr", role = "ctb", comment="Oniris"))
Maintainer: Fabien Llobell <fabien.llobell@oniris-nantes.fr>
Description: Hierarchical and partitioning algorithms of blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2018) <doi:10.1016/j.foodqual.2018.05.013>) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>) are the core of this package.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: FactoMineR
Suggests: ClustVarLV
Date: 2019-02-21
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-01 10:29:29 UTC; Fabien
Author: Fabien Llobell [aut, cre] (Oniris/XLSTAT), Evelyne Vigneau [ctb] (Oniris), Veronique Cariou [ctb] (Oniris), El Mostafa Qannari [ctb] (Oniris)
Repository: CRAN
Date/Publication: 2019-03-06 13:10:11 UTC

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New package ttTensor with initial version 0.99.2
Package: ttTensor
Type: Package
Title: Tensor-Train Decomposition
Version: 0.99.2
Date: 2019-02-17
Author: Koki Tsuyuzaki, Manabu Ishii, Itoshi Nikaido
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Suggests: testthat
Depends: R (>= 3.5.0)
Imports: methods, rTensor, tensorr, PTAk, Matrix
Description: Tensor-train is a compact representation for higher-order tensors. Some algorithms for performing tensor-train decomposition are available such as TT-SVD, TT-WOPT, and TT-Cross. For the details of the algorithms, see I. V. Oseledets (2011) <doi:10.1137/090752286>, Yuan Longao, et al (2017) <arXiv:1709.02641>, I. V. Oseledets (2010) <doi:10.1016/j.laa.2009.07.024>.
License: Artistic-2.0
URL: https://github.com/rikenbit/ttTensor
NeedsCompilation: no
Packaged: 2019-02-28 00:52:11 UTC; tsuyusakikouki
Repository: CRAN
Date/Publication: 2019-03-06 12:10:04 UTC

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New package tidyqwi with initial version 0.1.0
Package: tidyqwi
Title: A Convenient API for Accessing United States Census Bureau's Quarterly Workforce Indicator
Version: 0.1.0
Authors@R: c( person(given = "Michael", family = "DeWitt", role = c("aut", "cre"), email = "me.dewitt.jr@gmail.com", comment = c(ORCID = "0000-0001-8940-1967")), person(given = "Mona", family = "Ahmadiani", role = c("aut"), email = "ahmadim@wfu.edu", comment = c(ORCID = "0000-0002-1269-5685")), person(given = "Adam", family = "Hyde", role = c("aut"), email = "hydeas@wfu.edu") )
Maintainer: Michael DeWitt <me.dewitt.jr@gmail.com>
Description: The purpose of this package is to access the United States Census Bureau's Quarterly Workforce Indicator data. Additionally, the data will be retrieved in a tidy format for further manipulation with full variable descriptions added if desired. Information about the United States Census Bureau's Quarterly Workforce Indicator is available at <https://www.census.gov/data/developers/data-sets/qwi.html>.
Depends: R (>= 3.0), future (>= 1.6.2)
Imports: dplyr, httr, jsonlite, magrittr, xml2, stringr, purrr, stats, tidyr, plyr, labelled, furrr
License: MIT + file LICENSE
BugReports: https://github.com/medewitt/tidyqwi/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-02-28 19:16:37 UTC; dewittme
Author: Michael DeWitt [aut, cre] (<https://orcid.org/0000-0001-8940-1967>), Mona Ahmadiani [aut] (<https://orcid.org/0000-0002-1269-5685>), Adam Hyde [aut]
Repository: CRAN
Date/Publication: 2019-03-06 12:40:04 UTC

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New package servosphereR with initial version 0.1.0
Package: servosphereR
Type: Package
Title: Analyze Data Generated from Syntech Servosphere Trials
Version: 0.1.0
Authors@R: c(person("Jacob T.", "Wittman", email = "wittja01@gmail.com", role = c("aut", "cre")), person("Brian H.", "Aukema", role = "ctb"))
Description: Functions that facilitate and speed up the analysis of data produced by a Syntech servosphere <http://www.ockenfels-syntech.com/products/locomotion-compensation/>, which is equipment for studying the movement behavior of arthropods. This package is designed to make working with data produced from a servosphere easy for someone new to or unfamiliar with R. The functions provided in this package fall into three broad-use categories: functions for cleaning raw data produced by the servosphere software, functions for deriving movement variables based on position data, and functions for summarizing movement variables for easier analysis. These functions are built with functions from the tidyverse package to work efficiently, as a single servosphere file may consist of hundreds of thousands of rows of data and a user may wish to analyze hundreds of files at a time. Many of the movement variables derivable through this package are described in the following papers: Otálora-Luna, Fernando; Dickens, Joseph C. (2011) <doi:10.1371/journal.pone.0020990> Party, Virginie; Hanot, Christophe; Busser, Daniela Schmidt; Rochat, Didier; Renou, Michel (2013) <doi:10.1371/journal.pone.0052897> Bell, William J.; Kramer, Ernest (1980) <doi:10.1007/BF01402908> Becher, Paul G; Guerin, Patrick M. (2009) <doi:10.1016/j.jinsphys.2009.01.006>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: http://github.com/wittja01/servosphereR
BugReports: http://github.com/wittja01/servosphereR/issues
RoxygenNote: 6.1.1
Imports: purrr (>= 0.2), data.table (>= 1.10), dplyr (>= 0.7), magrittr (>= 1.5), rlang (>= 0.3), stats (>= 3.4)
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-02-19 19:30:23 UTC; wittm094
Author: Jacob T. Wittman [aut, cre], Brian H. Aukema [ctb]
Maintainer: Jacob T. Wittman <wittja01@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 12:30:03 UTC

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Package reticulate updated to version 1.11.1 with previous version 1.11 dated 2019-02-27

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: JJ Allaire [aut, cre], Kevin Ushey [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between reticulate versions 1.11 dated 2019-02-27 and 1.11.1 dated 2019-03-06

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 4 files changed, 11 insertions(+), 6 deletions(-)

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New package regrrr with initial version 0.1.0
Package: regrrr
Type: Package
Title: Toolkit for Compiling, (Post-Hoc) Testing, and Plotting Regression Results
Version: 0.1.0
Description: Compiling regression results into a publishable format, conducting post-hoc hypothesis testing, and plotting moderating effects (the effect of X on Y becomes stronger/weaker as Z increases).
Depends: R (>= 3.5.0)
Authors@R: c(person(given = "Rui K.", family = "Yang", role = c("aut", "cre"), email = "rkzyang@gmail.com"), person(given = "Luyao", family = "Peng", role = c("aut"), email = "luyaopeng.cn@gmail.com"))
Maintainer: Rui K. Yang <rkzyang@gmail.com>
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat
RoxygenNote: 6.1.1
Imports: stats, purrr, dplyr, magrittr, tidyr, usdm, scales, robustbase, stringr, spatstat, MuMIn, ggplot2, rlang
NeedsCompilation: no
Packaged: 2019-02-27 22:12:16 UTC; Ray_Mac
Author: Rui K. Yang [aut, cre], Luyao Peng [aut]
Repository: CRAN
Date/Publication: 2019-03-06 12:10:07 UTC

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Package Quartet updated to version 1.0.2 with previous version 1.0.1 dated 2019-01-22

Title: Comparison of Phylogenetic Trees Using Quartet and Bipartition Measures
Description: Calculates the number of four-taxon subtrees consistent with a pair of cladograms, calculating the symmetric quartet distance of Bandelt & Dress (1986), Reconstructing the shape of a tree from observed dissimilarity data, Advances in Applied Mathematics, 7, 309-343 <doi:10.1016/0196-8858(86)90038-2>, and using the tqDist algorithm of Sand et al. (2014), tqDist: a library for computing the quartet and triplet distances between binary or general trees, Bioinformatics, 30, 2079–2080 <doi:10.1093/bioinformatics/btu157> for pairs of bifurcating trees.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Andreas Sand [ant], Gerth Stølting Brodal [ant], Rolf Fagerberg [ant], Thomas Mailund [ant], Christian N. S. Pedersen [ant], Jens Johansen [ant], Morten K. Holt [ant]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between Quartet versions 1.0.1 dated 2019-01-22 and 1.0.2 dated 2019-03-06

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 18 files changed, 72 insertions(+), 46 deletions(-)

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New package org with initial version 2019.2.21
Package: org
Title: Organising Projects
Version: 2019.2.21
Authors@R: person("Richard", "White", email = "w@rwhite.no", role = c("aut", "cre"))
Description: A system to help you organize projects. Most analyses have three (or more) main sections: code, results, and data, each with different requirements (version control/sharing/encryption). You provide folder locations and 'org' helps you take care of the details.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stringr, lubridate
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-02-28 19:47:05 UTC; rstudio
Author: Richard White [aut, cre]
Maintainer: Richard White <w@rwhite.no>
Repository: CRAN
Date/Publication: 2019-03-06 12:40:10 UTC

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New package iarm with initial version 0.1.2
Package: iarm
Type: Package
Title: Item Analysis in Rasch Models
Version: 0.1.2
Authors@R: person("Marianne", "Mueller", email = "mllm@zhaw.ch", role = c("aut", "cre"))
Description: Tools to assess model fit and identify misfitting items for Rasch models (RM) and partial credit models (PCM). Included are item fit statistics, item-restscore association, conditional likelihood ratio tests, assessment of measurement error, estimates of the reliability and test targeting as described in Christensen et al. (Eds.) (2013, ISBN:978-1-84821-222-0).
License: GPL-2
Depends: R (>= 3.5.0), eRm
Imports: PP, psychotools, mRm, stats, utils, vcdExtra,
Author: Marianne Mueller [aut, cre]
Maintainer: Marianne Mueller <mllm@zhaw.ch>
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-02-28 16:07:58 UTC; mllm
Repository: CRAN
Date/Publication: 2019-03-06 12:30:08 UTC

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New package genius with initial version 0.0.1.0
Package: genius
Title: Easily Access Song Lyrics from Genius
Version: 0.0.1.0
Authors@R: c( person("Josiah", "Parry", email = "josiah.parry@gmail.com", role = c("aut", "cre")), person("Nathan", "Barr", email = "nab222@cornell.edu", role = "ctb") )
Description: Easily retrieve song lyrics from Genius <https://genius.com> as tibbles.
URL: https://github.com/josiahparry/genius
BugReports: https://github.com/josiahparry/genius/issues
Depends: R (>= 3.1.2)
Imports: dplyr (>= 0.7.0), rvest, stringr, tidyr, purrr, readr, tibble
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-02-28 17:44:11 UTC; josiahparry
Author: Josiah Parry [aut, cre], Nathan Barr [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 12:40:14 UTC

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New package ECGofTestDx with initial version 0.4
Package: ECGofTestDx
Type: Package
Title: A Goodness-of-Fit Test for Elliptical Distributions with Diagnostic Capabilities
Version: 0.4
Date: 2019-03-06
Author: Gilles R Ducharme [aut], Pierre Lafaye De Micheaux [aut, cre]
Authors@R: c(person("Gilles R", "Ducharme", role = c("aut"), email = "gilles.ducharme@univ-montp2.fr"), person("Pierre", "Lafaye De Micheaux", role = c("aut", "cre"), email = "lafaye@unsw.edu.au"))
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>
Depends: R (>= 3.3.0), orthopolynom, bootstrap
Description: A goodness-of-fit test for elliptical distributions with diagnostic capabilities. Gilles R. Ducharme, Pierre Lafaye de Micheaux (2019) <arXiv:1902.03622>.
License: GPL (>= 2)
Packaged: 2019-03-06 10:20:37 UTC; lafaye
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2019-03-06 12:30:11 UTC

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Package dextergui updated to version 0.1.6 with previous version 0.1.5 dated 2018-11-05

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

Diff between dextergui versions 0.1.5 dated 2018-11-05 and 0.1.6 dated 2019-03-06

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New package brunnermunzel with initial version 1.2.0
Package: brunnermunzel
Type: Package
Title: (Permuted) Brunner-Munzel Test
Version: 1.2.0
Date: 2019-02-28
Authors@R: person("Toshiaki", "Ara", email = "toshiaki.ara@gmail.com", role = c("aut", "cre"))
License: GPL-2 | GPL-3
Description: Provides the functions for Brunner-Munzel test and permuted Brunner-Munzel test, which enable to use formula, matrix, and table as argument. These functions are based on Brunner and Munzel (2000) <doi:10.1002/(SICI)1521-4036(200001)42:1%3C17::AID-BIMJ17%3E3.0.CO;2-U> and Neubert and Brunner (2007) <doi:10.1016/j.csda.2006.05.024>.
URL: https://github.com/toshi-ara/brunnermunzel
BugReports: https://github.com/toshi-ara/brunnermunzel/issues/
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown, dplyr, ggplot2
VignetteBuilder: knitr, dplyr, ggplot2
NeedsCompilation: yes
Packaged: 2019-02-28 13:26:49 UTC; ara
Author: Toshiaki Ara [aut, cre]
Maintainer: Toshiaki Ara <toshiaki.ara@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-06 12:20:03 UTC

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New package bliss with initial version 1.0.0
Package: bliss
Title: Bayesian Functional Linear Regression with Sparse Step Functions
Version: 1.0.0
Authors@R: c( person("Paul-Marie", "Grollemund", email = "paul.marie.grollemund@gmail.com", role = c("aut", "cre")), person("Isabelle", "Sanchez", email = "isabelle.sanchez@inra.fr", role = c("ctr")), person("Meili", "Baragatti", email = "meili.baragatti@supagro.fr", role = c("ctr")))
Author: Paul-Marie Grollemund [aut, cre], Isabelle Sanchez [ctr], Meili Baragatti [ctr]
Maintainer: Paul-Marie Grollemund <paul.marie.grollemund@gmail.com>
Description: A method for the Bayesian Functional Linear Regression model (scalar-on-function), including two estimators of the coefficient function and an estimator of its support. A representation of the posterior distribution is also available. Grollemund et. al. (2019) <doi:10.1214/18-BA1095>.
License: GPL-3
Depends: R (>= 3.3.0)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: TRUE
Imports: Rcpp, MASS, RColorBrewer, ggplot2, rockchalk
Suggests: rmarkdown, knitr
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-02-28 13:45:02 UTC; sanchezi
Repository: CRAN
Date/Publication: 2019-03-06 12:20:07 UTC

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New package binostics with initial version 0.1.2
Package: binostics
Type: Package
Title: Compute Scagnostics
Version: 0.1.2
Date: 2019-02-07
Authors@R: c( person("Ursula", "Laa", email = "ursula.laa@monash.edu", role = "cre"), person("Heike", "Hofmann", email = "hofmann@iastate.edu", role = "aut"), person("Lee", "Wilkinson", email = "leland@spss.com", role = "aut"), person("Hadley", "Wickham", email = "h.wickham@gmail.com", role = "aut"), person("Duncan", "Temple Lang", role = "aut"), person("Anushka", "Anand", role = "aut") )
Description: Calculates graph theoretic scagnostics. Scagnostics describe various measures of interest for pairs of variables, based on their appearance on a scatterplot. They are useful tool for discovering interesting or unusual scatterplots from a scatterplot matrix, without having to look at every individual plot.
LazyData: yes
License: GPL
RoxygenNote: 6.1.1
SystemRequirements: C++11
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-03-01 06:13:16 UTC; ulaa0001
Author: Ursula Laa [cre], Heike Hofmann [aut], Lee Wilkinson [aut], Hadley Wickham [aut], Duncan Temple Lang [aut], Anushka Anand [aut]
Maintainer: Ursula Laa <ursula.laa@monash.edu>
Repository: CRAN
Date/Publication: 2019-03-06 13:00:06 UTC

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Package xaringan updated to version 0.9 with previous version 0.8 dated 2018-10-23

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>), Benjie Gillam [ctb], Claus Thorn Ekstrøm [ctb], Daniel Anderson [ctb], Dawei Lang [ctb], Garrick Aden-Buie [ctb], John Little [ctb], Joseph Casillas [ctb], Michael Wayne Kearney [ctb], Nan-Hung Hsieh [ctb], Ole Petter Bang [ctb] (CSS in rmarkdown/templates/xaringan/resources/default.css), Patrick Schratz [ctb], Sean Lopp [ctb], Lucy D'Agostino McGowan [ctb] (<https://orcid.org/0000-0001-7297-9359>), Emi Tanaka [ctb], Yongfu Liao [ctb], Malcolm Barrett [ctb] (<https://orcid.org/0000-0003-0299-5825>), Alessandro Gasparini [ctb] (<https://orcid.org/0000-0002-8319-7624>), Yue Jiang [ctb] (<https://orcid.org/0000-0002-9798-5517>)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xaringan versions 0.8 dated 2018-10-23 and 0.9 dated 2019-03-06

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 21 files changed, 256 insertions(+), 70 deletions(-)

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Package TextForecast updated to version 0.1.1 with previous version 0.1.0 dated 2019-02-08

Title: Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary
Description: Provides functionalities based on the paper "Time Varying Dictionary and the Predictive Power of FED Minutes" (Lima, 2018) <doi:10.2139/ssrn.3312483>. It selects the most predictive terms, that we call time-varying dictionary using supervised machine learning techniques as lasso and elastic net.
Author: Luiz Renato Lima [aut], Lucas Godeiro [aut, cre]
Maintainer: Lucas Godeiro <lucas.godeiro@hotmail.com>

Diff between TextForecast versions 0.1.0 dated 2019-02-08 and 0.1.1 dated 2019-03-06

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Package RandomFields updated to version 3.3.6 with previous version 3.3.4 dated 2019-02-28

Title: Simulation and Analysis of Random Fields
Description: Methods for the inference on and the simulation of Gaussian fields are provided, as well as methods for the simulation of extreme value random fields.
Author: Martin Schlather [aut, cre], Alexander Malinowski [aut], Marco Oesting [aut], Daphne Boecker [aut], Kirstin Strokorb [aut], Sebastian Engelke [aut], Johannes Martini [aut], Felix Ballani [aut], Olga Moreva [aut], Jonas Auel[ctr], Peter Menck [ctr], Sebastian Gross [ctr], Ulrike Ober [ctb], Paulo Ribeiro [ctb], Brian D. Ripley [ctb], Richard Singleton [ctb], Ben Pfaff [ctb], R Core Team [ctb]
Maintainer: Martin Schlather <schlather@math.uni-mannheim.de>

Diff between RandomFields versions 3.3.4 dated 2019-02-28 and 3.3.6 dated 2019-03-06

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New package neonUtilities with initial version 1.2.1
Package: neonUtilities
Version: 1.2.1
Date: 2019-03-04
Title: Utilities for Working with NEON Data
Author: Christine Laney <claney@battelleecology.org>, Claire Lunch <clunch@battelleecology.org>
Maintainer: Claire Lunch <clunch@battelleecology.org>
Description: NEON data packages can be accessed through the NEON Data Portal <http://data.neonscience.org> or through the NEON Data API (see <http://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Depends: R (>= 3.4.0)
Imports: dplyr(>= 0.7.1), gdata(>= 2.18), httr, jsonlite, downloader, data.table, utils, stats, lubridate, readr, tidyr
License: AGPL-3
URL: https://github.com/NEONScience/NEON-utilities
BugReports: https://github.com/NEONScience/NEON-utilities/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-03-05 01:04:11 UTC; clunch
Repository: CRAN
Date/Publication: 2019-03-06 11:30:02 UTC

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New package KnowGRRF with initial version 1.0
Package: KnowGRRF
Type: Package
Title: Knowledge-Based Guided Regularized Random Forest
Version: 1.0
Date: 2019-02-22
Imports: randomForest, RRF, PRROC, MASS
Author: Original code developed by Xin Guan, modified and added functions developed by Li Liu
Maintainer: Xin Guan <xinguan@asu.edu>
License: GPL (>= 2)
Description: Random Forest (RF) and Regularized Random Forest can be used for feature selection. Moreover, by Guided Regularized Random Forest, statistical-based weights are used to guide the regularization of random forest and further used for feature selection. This package can integrate prior information from multiple domains (statistical based and knowledge domain) to guide the regularization of random forest and feature selection. For more details, see reference: Guan X., Liu L. (2018) <doi:10.1007/978-3-319-78759-6_1>.
NeedsCompilation: no
Repository: CRAN
Packaged: 2019-02-27 16:35:40 UTC; guanxin
Date/Publication: 2019-03-06 11:40:25 UTC

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Package geostatsp updated to version 1.7.7 with previous version 1.7.2 dated 2018-07-13

Title: Geostatistical Modelling with Likelihood and Bayes
Description: Geostatistical modelling facilities using Raster and SpatialPoints objects are provided. Non-Gaussian models are fit using INLA, and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>.
Author: Patrick Brown <patrick.brown@utoronto.ca>[aut, cre], Robert Hijmans [ctb]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

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New package spotifyr with initial version 2.0.0
Package: spotifyr
Title: R Wrapper for the 'Spotify' Web API
Version: 2.0.0
Authors@R: c(person("Charlie", "Thompson", email = "chuck@rcharlie.com", role = c("aut", "cre")), person("Josiah", "Parry", email = "josiah.parry@yahoo.com", role = "aut"), person("Donal", "Phipps", email = "donal.phipps@gmail.com", role = "aut"), person("Tom", "Wolff", email = "tom.wolff@duke.edu", role = "aut"))
Description: An R wrapper for pulling data from the 'Spotify' Web API <http://developer.spotify.com/web-api> in bulk. It allows you to enter an artist's name and retrieve their entire discography in seconds, along with audio features and lyrics from Genius Lyrics <https://www.genius.com>. You can also pull song and playlist information for a given 'Spotify' user.
Depends: R (>= 3.3.0)
Imports: dplyr, purrr, tidyr, httr, lubridate, jsonlite, readr, rvest, stringr, tibble
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat
URL: http://github.com/charlie86/spotifyr
BugReports: http://github.com/charlie86/spotifyr/issues
NeedsCompilation: no
Packaged: 2019-03-04 19:57:45 UTC; charliet
Author: Charlie Thompson [aut, cre], Josiah Parry [aut], Donal Phipps [aut], Tom Wolff [aut]
Maintainer: Charlie Thompson <chuck@rcharlie.com>
Repository: CRAN
Date/Publication: 2019-03-06 11:00:03 UTC

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Package PROMETHEE updated to version 1.1 with previous version 1.0 dated 2018-11-03

Title: Preference Ranking Organization METHod for Enrichment of Evaluations
Description: Functions which can be used to support the Multicriteria Decision Analysis (MCDA) process involving multiple criteria, by PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations).
Author: Giuliano Resce, Menelaos Tasiou, Francesco Vidoli
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

Diff between PROMETHEE versions 1.0 dated 2018-11-03 and 1.1 dated 2019-03-06

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Package party updated to version 1.3-3 with previous version 1.3-2 dated 2019-03-01

Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available. The methods are described in Hothorn et al. (2006) <doi:10.1198/106186006X133933>, Zeileis et al. (2008) <doi:10.1198/106186008X319331> and Strobl et al. (2007) <doi:10.1186/1471-2105-8-25>.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>), Kurt Hornik [aut], Carolin Strobl [aut], Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between party versions 1.3-2 dated 2019-03-01 and 1.3-3 dated 2019-03-06

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Package network updated to version 1.14-377 with previous version 1.13.0.1 dated 2018-04-02

Title: Classes for Relational Data
Description: Tools to create and modify network objects. The network class can represent a range of relational data types, and supports arbitrary vertex/edge/graph attributes.
Author: Carter T. Butts [aut, cre], David Hunter [ctb], Mark Handcock [ctb], Skye Bender-deMoll [ctb], Jeffrey Horner [ctb], Li Wang [ctb]
Maintainer: Carter T. Butts <buttsc@uci.edu>

Diff between network versions 1.13.0.1 dated 2018-04-02 and 1.14-377 dated 2019-03-06

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Package mvord updated to version 0.3.5 with previous version 0.3.4 dated 2019-02-20

Title: Multivariate Ordinal Regression Models
Description: A flexible framework for fitting multivariate ordinal regression models with composite likelihood methods.
Author: Rainer Hirk [aut, cre], Kurt Hornik [aut], Laura Vana [aut], Alan Genz [ctb] (Fortran Code)
Maintainer: Rainer Hirk <rhirk@wu.ac.at>

Diff between mvord versions 0.3.4 dated 2019-02-20 and 0.3.5 dated 2019-03-06

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New package corrr with initial version 0.3.1
Package: corrr
Type: Package
Version: 0.3.1
Title: Correlations in R
Description: A tool for exploring correlations. It makes it possible to easily perform routine tasks when exploring correlation matrices such as ignoring the diagonal, focusing on the correlations of certain variables against others, or rearranging and visualising the matrix in terms of the strength of the correlations.
Author: Simon Jackson [aut, cre], Jorge Cimentada [ctb], Edgar Ruiz [aut]
Maintainer: Edgar Ruiz <edgararuiz@gmail.com>
URL: https://github.com/drsimonj/corrr
BugReports: https://github.com/drsimonj/corrr/issues
Depends: R (>= 3.3.0)
LazyData: yes
License: MIT + file LICENSE
RoxygenNote: 6.1.1
Suggests: testthat (>= 1.0.2), knitr (>= 1.13), rmarkdown (>= 0.9.6), dbplyr (>= 1.2.1), DBI, RSQLite
Imports: dplyr (>= 0.8.0), magrittr (>= 1.5), tidyr (>= 0.5.1), ggplot2 (>= 2.2.0), seriation (>= 1.2-0), lazyeval (>= 0.2.0), purrr (>= 0.2.2), tibble (>= 2.0), ggrepel (>= 0.6.5), methods (>= 3.4.3), rlang(>= 0.2.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-03-05 23:50:40 UTC; edgar
Repository: CRAN
Date/Publication: 2019-03-06 09:50:03 UTC

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Package DHARMa updated to version 0.2.4 with previous version 0.2.3 dated 2019-02-12

Title: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
Description: The 'DHARMa' package uses a simulation-based approach to create readily interpretable scaled (quantile) residuals for fitted (generalized) linear mixed models. Currently supported are linear and generalized linear (mixed) models from 'lme4' (classes 'lmerMod', 'glmerMod'), 'glmmTMB' and 'spaMM', generalized additive models ('gam' from 'mgcv'), 'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and 'lm' model classes. Moreover, externally created simulations, e.g. posterior predictive simulations from Bayesian software such as 'JAGS', 'STAN', or 'BUGS' can be processed as well. The resulting residuals are standardized to values between 0 and 1 and can be interpreted as intuitively as residuals from a linear regression. The package also provides a number of plot and test functions for typical model misspecification problems, such as over/underdispersion, zero-inflation, and residual spatial and temporal autocorrelation.
Author: Florian Hartig [aut, cre] (Theoretical Ecology, University of Regensburg, Regensburg, Germany)
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>

Diff between DHARMa versions 0.2.3 dated 2019-02-12 and 0.2.4 dated 2019-03-06

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Package sylcount (with last version 0.2-0) was removed from CRAN

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

2019-02-20 0.2-0
2017-04-07 0.1-0

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Package tvm updated to version 0.4.0 with previous version 0.3.0 dated 2015-08-21

Title: Time Value of Money Functions
Description: Functions for managing cashflows and interest rate curves.
Author: Juan Manuel Truppia
Maintainer: Juan Manuel Truppia <jmtruppia@gmail.com>

Diff between tvm versions 0.3.0 dated 2015-08-21 and 0.4.0 dated 2019-03-06

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