Wed, 03 Jun 2020

Package sizeMat updated to version 1.1.2 with previous version 1.1.1 dated 2020-04-14

Title: Estimate Size at Sexual Maturity
Description: Estimate morphometric and gonadal size at sexual maturity for organisms, usually fish and invertebrates. It includes methods for classification based on relative growth (using principal components analysis, hierarchical clustering, discriminant analysis), logistic regression (Frequentist or Bayes), parameters estimation and some basic plots.
Author: Josymar Torrejon-Magallanes [cre, aut]
Maintainer: Josymar Torrejon-Magallanes <ejosymart@gmail.com>

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Package assignR updated to version 1.2.1 with previous version 1.2.0 dated 2020-04-21

Title: Infer Geographic Origin from Isotopic Data
Description: Routines for re-scaling isotope maps using known-origin tissue isotope data, assigning origin of unknown samples, and summarizing and assessing assignment results. Methods are adapted from Wunder (2010, in ISBN:9789048133536) and Vander Zanden, H. B. et al. (2014) <doi:10.1111/2041-210X.12229> as described in Ma, C. et al. (2020) <doi:10.1111/2041-210X.13426>.
Author: Chao Ma, Gabe Bowen
Maintainer: Gabe Bowen <gabe.bowen@utah.edu>

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Package fungible updated to version 1.96.3 with previous version 1.95.2 dated 2020-01-20

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>

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Package rsMove updated to version 0.2.8 with previous version 0.2.7 dated 2018-12-11

Title: Guidelines for the use of Remote Sensing in Movement Ecology
Description: Tools for the guided selection of satellite data and environmental predictors, the combination of remote sensing and animal movement data and the mapping of resource suitability. Based on the paper by Remelgado et al. (2015) <doi:10.1111/2041-210X.13199>.
Author: Ruben Remelgado [aut, cre]
Maintainer: Ruben Remelgado <remelgado.ruben@gmail.com>

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Package move updated to version 4.0.0 with previous version 3.3.0 dated 2020-03-19

Title: Visualizing and Analyzing Animal Track Data
Description: Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.
Author: Bart Kranstauber [aut, cre], Marco Smolla [aut], Anne K Scharf [aut]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

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Package LexisNexisTools updated to version 0.3.1 with previous version 0.3.0 dated 2020-01-09

Title: Working with Files from 'LexisNexis'
Description: My PhD supervisor once told me that everyone doing newspaper analysis starts by writing code to read in files from the 'LexisNexis' newspaper archive (retrieved e.g., from <http://www.nexis.com/> or any of the partner sites). However, while this is a nice exercise I do recommend, not everyone has the time. This package takes files downloaded from the newspaper archive of 'LexisNexis', reads them into R and offers functions for further processing.
Author: Johannes Gruber [aut, cre]
Maintainer: Johannes Gruber <j.gruber.1@research.gla.ac.uk>

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Package js updated to version 1.2 with previous version 1.1 dated 2017-07-28

Title: Tools for Working with JavaScript in R
Description: A set of utilities for working with JavaScript syntax in R. Includes tools to parse, tokenize, compile, validate, reformat, optimize and analyze JavaScript code.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package docxtools updated to version 0.2.2 with previous version 0.2.1 dated 2019-02-09

Title: Tools for R Markdown to Docx Documents
Description: A set of helper functions for using R Markdown to create documents in docx format, especially documents for use in a classroom or workshop setting.
Author: Richard Layton [aut, cre]
Maintainer: Richard Layton <graphdoctor@gmail.com>

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Package pinfsc50 updated to version 1.2.0 with previous version 1.1.0 dated 2016-12-02

Title: Sequence ('FASTA'), Annotation ('GFF') and Variants ('VCF') for 17 Samples of 'P. Infestans" and 1 'P. Mirabilis'
Description: Genomic data for the plant pathogen "Phytophthora infestans." It includes a variant file ('VCF'), a sequence file ('FASTA') and an annotation file ('GFF'). This package is intended to be used as example data for packages that work with genomic data.
Author: Brian J. Knaus [cre, aut], Niklaus J. Grunwald [aut]
Maintainer: Brian J. Knaus <briank.lists@gmail.com>

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Package nls.multstart updated to version 1.1.0 with previous version 1.0.0 dated 2018-03-06

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

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Package ipumsr updated to version 0.4.4 with previous version 0.4.3 dated 2020-04-30

Title: Read 'IPUMS' Extract Files
Description: An easy way to import census, survey and geographic data provided by 'IPUMS' into R plus tools to help use the associated metadata to make analysis easier. 'IPUMS' data describing 1.4 billion individuals drawn from over 750 censuses and surveys is available free of charge from our website <https://ipums.org>.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Joe Grover [ctb], Minnesota Population Center [cph]
Maintainer: Derek Burk <ipums+cran@umn.edu>

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Package geomorph updated to version 3.3.0 with previous version 3.2.1 dated 2020-01-27

Title: Geometric Morphometric Analyses of 2D/3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

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 geomorph-3.3.0/geomorph/vignettes/figs/PCAplot2D.png      |only
 geomorph-3.3.0/geomorph/vignettes/figs/tree.plot.png      |only
 geomorph-3.3.0/geomorph/vignettes/geomorph.PCA.Rmd        |only
 geomorph-3.3.0/geomorph/vignettes/geomorph.assistance.Rmd |   12 
 geomorph-3.3.0/geomorph/vignettes/geomorph.digitize3D.Rmd |    2 
 geomorph-3.3.0/geomorph/vignettes/geomorph.functions.Rmd  |    2 
 78 files changed, 2733 insertions(+), 2418 deletions(-)

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New package cffdrs with initial version 1.8.18
Package: cffdrs
Type: Package
Title: Canadian Forest Fire Danger Rating System
Version: 1.8.18
Date: 2020-06-03
Authors@R: c( person("Alan", "Cantin", email = "alan.cantin@canada.ca", role = c("cre", "aut")), person("Xianli", "Wang", email = "xianli.wang@canada.ca", role = "aut"), person("Marc-André", "Parisien", email = "marc-andre.parisien@canada.ca", role = "aut"), person("Mike", "Wotton", email = "mike.wotton@canada.ca", role = "aut"), person("Kerry", "Anderson", email = "", role = "aut"), person("Brett", "MOore", email = "brett.moore@canada.ca", role = "aut"), person("Tom", "Schiks", email = "tom.schiks@mail.utoronto.ca", role = "aut"), person("Mike", "Flannigan", email = "mike.flannigan@ualberta.ca", role = "aut") )
Depends: R(>= 3.2.2), rgdal, raster, foreach
Imports: data.table, geosphere, doParallel
Description: This project provides a group of new functions to calculate the outputs of the two main components of the Canadian Forest Fire Danger Rating System (CFFDRS) Van Wagner and Pickett (1985) <https://cfs.nrcan.gc.ca/publications?id=19973>) at various time scales: the Fire Weather Index (FWI) System Wan Wagner (1985) <https://cfs.nrcan.gc.ca/publications?id=19927> and the Fire Behaviour Prediction (FBP) System Forestry Canada Fire Danger Group (1992) <http://cfs.nrcan.gc.ca/pubwarehouse/pdfs/10068.pdf>. Some functions have two versions, table and raster based.
License: GPL-2
URL: https://r-forge.r-project.org/projects/cffdrs/
BugReports: https://r-forge.r-project.org/tracker/?func=browse&group_id=1970&atid=5372
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-06-03 17:04:06 UTC; alancan
Author: Alan Cantin [cre, aut], Xianli Wang [aut], Marc-André Parisien [aut], Mike Wotton [aut], Kerry Anderson [aut], Brett MOore [aut], Tom Schiks [aut], Mike Flannigan [aut]
Maintainer: Alan Cantin <alan.cantin@canada.ca>
Repository: CRAN
Date/Publication: 2020-06-03 17:30:12 UTC

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New package synthesisr with initial version 0.3.0
Package: synthesisr
Type: Package
Title: Import, Assemble, and Deduplicate Bibliographic Datasets
Version: 0.3.0
Authors@R: c( person( given = "Martin", family = "Westgate", role = c("aut", "cre"), email = "martinjwestgate@gmail.com", comment = c(ORCID = "0000-0003-0854-2034")), person( given = "Eliza", family = "Grames", role = c("aut"), email = "eliza.grames@uconn.edu", comment = c(ORCID = "0000-0003-1743-6815")))
Description: A critical first step in systematic literature reviews and mining of academic texts is to identify relevant texts from a range of sources, particularly databases such as 'Web of Science' or 'Scopus'. These databases often export in different formats or with different metadata tags. 'synthesisr' expands on the tools outlined by Westgate (2019) <doi:10.1002/jrsm.1374> to import bibliographic data from a range of formats (such as 'bibtex', 'ris', or 'ciw') in a standard way, and allows merging and deduplication of the resulting dataset.
Depends: R (>= 3.5.0)
Imports: stringdist
Suggests: knitr, rmarkdown, testthat
Date: 2020-05-18
License: GPL-3
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-05-28 23:11:25 UTC; martin_westgate
Author: Martin Westgate [aut, cre] (<https://orcid.org/0000-0003-0854-2034>), Eliza Grames [aut] (<https://orcid.org/0000-0003-1743-6815>)
Maintainer: Martin Westgate <martinjwestgate@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-03 16:30:03 UTC

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New package roxytest with initial version 0.0.1
Package: roxytest
Type: Package
Title: Various Tests with 'roxygen2'
Version: 0.0.1
Authors@R: c( person(given = "Mikkel Meyer", family = "Andersen", email = "mikl@math.aau.dk", role = c("aut", "cre")), person(given = "Ege", family = "Rubak", email = "rubak@math.aau.dk", role = c("ctb")) )
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>
Description: Various tests as 'roxygen2' roclets: e.g. 'testthat' and 'tinytest' tests. Also other static analysis tools as checking parameter documentation consistency and others.
License: GPL (>= 2)
Imports: roxygen2, methods
Depends: R (>= 2.10)
Suggests: testthat (>= 2.1.0), tinytest (>= 1.1.0), knitr, rmarkdown
BugReports: https://github.com/mikldk/roxytest/issues
Encoding: UTF-8
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-29 10:07:43 UTC; mikl
Author: Mikkel Meyer Andersen [aut, cre], Ege Rubak [ctb]
Repository: CRAN
Date/Publication: 2020-06-03 16:30:06 UTC

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New package ptvapi with initial version 1.1.2
Package: ptvapi
Title: Access the 'Public Transport Victoria' Timetable API
Version: 1.1.2
Authors@R: person(given = "David", family = "Neuzerling", role = c("aut", "cre", "cph"), email = "david@neuzerling.com")
Description: Access the 'Public Transport Victoria' Timetable API <https://www.ptv.vic.gov.au/footer/data-and-reporting/datasets/ptv-timetable-api/>, with results returned as familiar R data structures. Retrieve information on stops, routes, disruptions, departures, and more.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: httr, glue, digest, jsonlite, purrr, tibble, assertthat
Suggests: testthat (>= 2.1.0), dplyr, lubridate
URL: https://github.com/mdneuzerling/ptvapi
BugReports: https://github.com/mdneuzerling/ptvapi/issues
NeedsCompilation: no
Packaged: 2020-06-02 21:26:57 UTC; mdneuzerling
Author: David Neuzerling [aut, cre, cph]
Maintainer: David Neuzerling <david@neuzerling.com>
Repository: CRAN
Date/Publication: 2020-06-03 16:40:02 UTC

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New package officedown with initial version 0.1.0
Package: officedown
Type: Package
Title: Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint'
Version: 0.1.0
Authors@R: c( person("David", "Gohel", role = c("aut", "cre", "cph"), email = "david.gohel@ardata.fr"), person(given = "Institut für Qualitätssicherung und Transparenz im Gesundheitswesen", role = c("fnd")), person("Noam", "Ross", role = c("aut"), email = 'noam.ross@gmail.com', comment = "rmarkdown implementation for rvg"), person(given = "ArData", role = "cph") )
Description: Allows production of 'Microsoft' corporate documents from 'R Markdown' by reusing formatting defined in 'Microsoft Word' documents. You can reuse table styles, list styles but also add column sections, landscape oriented pages. Table and image captions as well as cross-references are transformed into 'Microsoft Word' fields, allowing documents edition and merging without issue with references; the syntax conforms to the 'bookdown' cross-reference definition. Objects generated by the 'officer' package are also supported in the 'knitr' chunks. 'Microsoft PowerPoint' presentations also benefit from this as well as the ability to produce editable vector graphics in 'PowerPoint' and also to define placeholder where content is to be added.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: knitr, rmarkdown, bookdown (>= 0.13), officer (>= 0.3.11), xml2, rlang, uuid, grDevices, yaml, utils, memoise, rvg (>= 0.2.2)
Suggests: ggplot2, flextable
URL: https://davidgohel.github.io/officedown
BugReports: https://github.com/davidgohel/officedown/issues
RoxygenNote: 7.1.0
SystemRequirements: pandoc (>= 2.0) - http://pandoc.org
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-03 15:12:26 UTC; davidgohel
Author: David Gohel [aut, cre, cph], Institut für Qualitätssicherung und Transparenz im Gesundheitswesen [fnd], Noam Ross [aut] (rmarkdown implementation for rvg), ArData [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>
Repository: CRAN
Date/Publication: 2020-06-03 16:10:02 UTC

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New package mcvis with initial version 1.0.4
Package: mcvis
Type: Package
Title: Multi-Collinearity Visualization
Version: 1.0.4
Authors@R: c( person(given = "Kevin", family = "Wang", email = "kevin.wang09@gmail.com", role = c("aut", "cre")), person(given = "Chen", family = "Lin", email = "16300180053@fudan.edu.cn", role = c("aut")), person(given = "Samuel", family = "Mueller", email = "samuel.mueller@sydney.edu.au", role = c("aut")) )
Description: Visualize the relationship between linear regression variables and causes of multi-collinearity.
Encoding: UTF-8
Imports: assertthat, igraph, ggplot2, purrr, magrittr, reshape2, shiny, dplyr, psych, rlang
RoxygenNote: 7.1.0
License: GPL-3
Suggests: testthat (>= 2.1.0), covr, knitr, mplot, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-03 09:15:19 UTC; kevinwang
Author: Kevin Wang [aut, cre], Chen Lin [aut], Samuel Mueller [aut]
Maintainer: Kevin Wang <kevin.wang09@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-03 16:20:02 UTC

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New package labsimplex with initial version 0.1.2
Package: labsimplex
Version: 0.1.2
Date: 2020-05-18
Title: Simplex Optimization Algorithms for Laboratory and Manufacturing Processes
Author: Cristhian Paredes [aut, cre], Jesús Ágreda [aut]
Maintainer: Cristhian Paredes <craparedesca@unal.edu.co>
Description: Simplex optimization algorithms as firstly proposed by Spendley et al. (1962) <doi:10.1080/00401706.1962.10490033> and later modified by Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308> for laboratory and manufacturing processes. The package also provides tools for graphical representation of the simplexes and some example response surfaces that are useful in illustrating the optimization process.
License: GPL (>= 2)
Encoding: UTF-8
Imports: scatterplot3d (>= 0.3-41), ggplot2
RoxygenNote: 7.0.2.9000
Suggests: knitr, rmarkdown, FrF2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-03 06:03:08 UTC; cris
Repository: CRAN
Date/Publication: 2020-06-03 16:10:06 UTC

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New package ibmAcousticR with initial version 0.1.2
Package: ibmAcousticR
Title: Connect to Your IBM 'Acoustic' Data with 'R'
Version: 0.1.2
Authors@R: person(given = "Chris", family = "Umphlett", role = c("aut", "cre"), email = "christopher.umphlett@gmail.com")
Description: Authentication can be the most difficult part about working with a new API. 'ibmAcousticR' facilitates making a connection to the IBM 'Acoustic' email campaign management API and executing various queries. The IBM 'Acoustic' API documentation is available at <https://developer.ibm.com/customer-engagement/docs/>.
License: CC0
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: jsonlite (>= 1.6.1), httr (>= 1.4.1), XML (>= 3.99-0.3)
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-29 00:49:28 UTC; c.umphlett
Author: Chris Umphlett [aut, cre]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-03 16:30:09 UTC

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New package gif with initial version 0.1.0
Package: gif
Type: Package
Version: 0.1.0
Title: Graphical Independence Filtering
Description: Provides a method of recovering the precision matrix for Gaussian graphical models efficiently. Our approach could be divided into three categories. First of all, we use Hard Graphical Thresholding for best subset selection problem of Gaussian graphical model, and the core concept of this method was proposed by Luo et al. (2014) <arXiv:1407.7819>. Secondly, a closed form solution for graphical lasso under acyclic graph structure is implemented in our package (Fattahi and Sojoudi (2019) <http://jmlr.org/papers/v20/17-501.html>). Furthermore, we implement block coordinate descent algorithm to efficiently solve the covariance selection problem (Dempster (1972) <doi:10.2307/2528966>). Our package is computationally efficient and can solve ultra-high-dimensional problems, e.g. p > 10,000, in a few minutes.
Authors@R: c( person("Shiyun", "Lin", , "linshy27@mail2.sysu.edu.cn", role = c("aut", "cre")), person("Jin", "Zhu", , role = "aut"), person("Junxian", "Zhu", , role = "aut"), person("Xueqin", "Wang", , role = "aut"), person("SC2S2", role = c("cph")) )
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2)
Imports: Rcpp (>= 0.12.15), MASS, Matrix
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Author: Shiyun Lin [aut, cre], Jin Zhu [aut], Junxian Zhu [aut], Xueqin Wang [aut], SC2S2 [cph]
Maintainer: Shiyun Lin <linshy27@mail2.sysu.edu.cn>
RoxygenNote: 7.1.0
Packaged: 2020-06-03 03:38:25 UTC; Shiyun Lin
Repository: CRAN
Date/Publication: 2020-06-03 16:20:06 UTC

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New package DIZutils with initial version 0.0.4
Package: DIZutils
Title: Utilities for 'DIZ' R Package Development
Version: 0.0.4
Date: 2020-05-29
Authors@R: c(person(given = "Jonathan M.", family = "Mang", role = c("aut", "cre"), email = "jonathan.mang@uk-erlangen.de", comment = c(ORCID = "0000-0003-0518-4710")), person(given = "Lorenz A.", family = "Kapsner", role = "aut", comment = c(ORCID = "0000-0003-1866-860X")), person(given = "MIRACUM - Medical Informatics in Research and Care in University Medicine", role = "fnd"))
Description: Utility functions used for R package development infrastructure inside the data integration centers ('DIZ') to standardize and facilitate repetitive tasks such as setting up a database connection or issuing notification messages and to avoid redundancy.
License: GPL-3
URL: https://gitlab.miracum.org/miracum/dqa/dizutils
BugReports: https://gitlab.miracum.org/miracum/dqa/dizutils/issues
Depends: R (>= 2.10)
Imports: config, data.table, DBI, RJDBC, RPostgres, shiny, shinyjs
Suggests: knitr, lintr, qpdf, rmarkdown, testthat
biocViews:
Copyright: Universitätsklinikum Erlangen
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-29 10:21:48 UTC; user
Author: Jonathan M. Mang [aut, cre] (<https://orcid.org/0000-0003-0518-4710>), Lorenz A. Kapsner [aut] (<https://orcid.org/0000-0003-1866-860X>), MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd]
Maintainer: Jonathan M. Mang <jonathan.mang@uk-erlangen.de>
Repository: CRAN
Date/Publication: 2020-06-03 16:30:12 UTC

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New package contourPlot with initial version 0.1.4
Package: contourPlot
Type: Package
Title: Plots x,y,z Co-Ordinates in a Contour Map
Version: 0.1.4
Author: Tony Murphy
Maintainer: Tony Murphy <tonymurphy55.am@gmail.com>
Description: Plots a set of x,y,z co-ordinates in a contour map. Designed to be similar to plots in base R so additional elements can be added using lines(), points() etc. This package is intended to be better suited, than existing packages, to displaying circular shaped plots such as those often seen in the semi-conductor industry.
License: MIT +file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10), grDevices, interp, RColorBrewer
NeedsCompilation: no
Packaged: 2020-06-03 14:58:19 UTC; amurphy
Repository: CRAN
Date/Publication: 2020-06-03 16:10:10 UTC

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New package CausalQueries with initial version 0.0.3
Package: CausalQueries
Type: Package
Title: Make, Update, and Query Binary Causal Models
Version: 0.0.3
Authors@R: c(person("Clara", "Bicalho", email = "clarabmcorreia@gmail.com", role = c("ctb")), person("Jasper", "Cooper", email = "jjc2247@columbia.edu", role = c("ctb")), person("Macartan", "Humphreys", email = "mh2245@columbia.edu", role = c("aut")), person("Alan", "Jacobs", email = "alan.jacobs@ubc.ca", role = c("aut")), person("Merlin", "Heidemanns", email = "mnh2123@columbia.edu ", role = c("ctb")), person("Lily", "Medina", email = "lilymiru@gmail.com", role = c("aut" , "cre")), person("Julio", "Solis", email = "juliosolisar@gmail.com", role = c("ctb")), person("Georgiy", "Syunyaev", email = "gs2716@columbia.edu", role = c("ctb")))
Description: Users can declare binary causal models, update beliefs about causal types given data and calculate arbitrary estimands. Model definition makes use of 'dagitty' functionality. Updating is implemented in 'stan'. The approach used in 'CausalQueries' is a generalization of the 'biqq' models described in "Mixing Methods: A Bayesian Approach" (Humphreys and Jacobs, 2015, <DOI:10.1017/S0003055415000453>). The conceptual extension makes use of work on probabilistic causal models described in Pearl's Causality (Pearl, 2009, <DOI:10.1017/CBO9780511803161>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: dplyr, methods, R (>= 3.4.0), Rcpp (>= 0.12.0)
Imports: dagitty, gtools, stats, randomizr, rlang (>= 0.2.0), rstan (>= 2.18.1), rstantools (>= 2.0.0), stringr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Suggests: testthat, rmarkdown, knitr, DeclareDesign, covr
SystemRequirements: GNU make
Biarch: true
NeedsCompilation: yes
Packaged: 2020-05-28 23:07:58 UTC; lilymedina
Author: Clara Bicalho [ctb], Jasper Cooper [ctb], Macartan Humphreys [aut], Alan Jacobs [aut], Merlin Heidemanns [ctb], Lily Medina [aut, cre], Julio Solis [ctb], Georgiy Syunyaev [ctb]
Maintainer: Lily Medina <lilymiru@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-03 16:20:09 UTC

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Package wikipediatrend updated to version 2.1.6 with previous version 2.1.4 dated 2019-09-21

Title: Public Subject Attention via Wikipedia Page View Statistics
Description: A convenience wrapper for the Wikipedia page access statistics API binding the 'pageviews' package and using an additional self composed data source thus covering a time span from very late 2007 up to the present for daily page views.
Author: Peter Meissner [aut, cre], R Core Team [cph]
Maintainer: Peter Meissner <retep.meissner@gmail.com>

Diff between wikipediatrend versions 2.1.4 dated 2019-09-21 and 2.1.6 dated 2020-06-03

 DESCRIPTION                               |   10 +-
 MD5                                       |   47 ++++-----
 NAMESPACE                                 |    2 
 R/wp_trend2.R                             |    9 +
 README.md                                 |   86 +++++++++++++++--
 man/figures/README-unnamed-chunk-17-1.png |binary
 man/figures/README-unnamed-chunk-20-1.png |only
 man/plot.wp_df.Rd                         |   30 +++---
 man/print.wp_df.Rd                        |   30 +++---
 man/wiki_search.Rd                        |   30 +++---
 man/wp_check_date_inputs.Rd               |   34 +++---
 man/wp_check_page_input.Rd                |   26 ++---
 man/wp_date.Rd                            |  150 +++++++++++++++---------------
 man/wp_day.Rd                             |   60 ++++++------
 man/wp_get_data.Rd                        |   90 +++++++++---------
 man/wp_linked_pages.Rd                    |   34 +++---
 man/wp_month.Rd                           |   64 ++++++------
 man/wp_prepare_date_for_pageviews.Rd      |   32 +++---
 man/wp_trend.Rd                           |   89 +++++++++--------
 man/wp_wday.Rd                            |   66 ++++++-------
 man/wp_year.Rd                            |   56 +++++------
 man/wp_yearmonth.Rd                       |   30 +++---
 man/wpd_decompress.Rd                     |   30 +++---
 man/wpd_get_exact.Rd                      |   70 +++++++-------
 man/wpd_search.Rd                         |   30 +++---
 25 files changed, 594 insertions(+), 511 deletions(-)

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Package rsleep updated to version 1.0.3 with previous version 1.0.2 dated 2020-05-08

Title: Analysis of Sleep Data
Description: Provides users functions for sleep data management and analysis such as European Data Format (EDF) to Morpheo Data Format (MDF) conversion: P.Bouchequet, D.Jin, G.Solelhac, M.Chennaoui, D.Leger (2018) <doi:10.1016/j.msom.2018.01.130> "Morpheo Data Format (MDF), un nouveau format de donnees simple, robuste et performant pour stocker et analyser les enregistrements de sommeil". Provides hypnogram statistics computing and visualisation functions from the American Academy of Sleep Medicine (AASM) manual "The AASM Manual for the Scoring of Sleep and Associated Events" <https://aasm.org/clinical-resources/scoring-manual/>.
Author: Paul Bouchequet <paul.bouchequet@frenchkpi.com>
Maintainer: Paul Bouchequet <paul.bouchequet@frenchkpi.com>

Diff between rsleep versions 1.0.2 dated 2020-05-08 and 1.0.3 dated 2020-06-03

 DESCRIPTION               |    8 +--
 MD5                       |    8 ++-
 R/eeg.R                   |  104 ++++++++++++++++++++++++++++++++++++++++++++++
 man/psm.Rd                |only
 man/pwelch.Rd             |only
 tests/testthat/test_eeg.R |    8 +++
 6 files changed, 121 insertions(+), 7 deletions(-)

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New package revss with initial version 0.0.2
Package: revss
Type: Package
Title: Robust Estimation in Very Small Samples
Version: 0.0.2
Date: 2020-05-28
Authors@R: c(person(given = "Avraham", family = "Adler", role = c("aut", "cph", "cre"), email = "Avraham.Adler@gmail.com", comment = c(ORCID = "0000-0002-3039-0703")))
Description: Implements the estimation techniques described in Rousseeuw & Verboven (2002) <doi:10.1016/S0167-9473(02)00078-6> for the location and scale of very small samples.
License: BSD_2_clause + file LICENSE
URL: https://github.com/aadler/revss
BugReports: https://github.com/aadler/revss/issues
Encoding: UTF-8
Suggests: testthat, covr
Imports: stats
LazyData: true
NeedsCompilation: no
Packaged: 2020-05-28 13:35:07 UTC; Parents
Author: Avraham Adler [aut, cph, cre] (<https://orcid.org/0000-0002-3039-0703>)
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-03 15:20:03 UTC

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Package pivmet updated to version 0.3.0 with previous version 0.2.0 dated 2019-06-24

Title: Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Description: Collection of pivotal algorithms for: relabelling the MCMC chains in order to undo the label switching problem in Bayesian mixture models, as proposed in Egidi, Pappadà, Pauli and Torelli (2018a)<doi:10.1007/s11222-017-9774-2>; initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution. For further details see Egidi, Pappadà, Pauli and Torelli (2018b)<ISBN:9788891910233>.
Author: Leonardo Egidi[aut, cre], Roberta Pappadà[aut], Francesco Pauli[aut], Nicola Torelli[aut]
Maintainer: Leonardo Egidi <legidi@units.it>

Diff between pivmet versions 0.2.0 dated 2019-06-24 and 0.3.0 dated 2020-06-03

 DESCRIPTION                                                     |   15 
 MD5                                                             |   46 -
 NAMESPACE                                                       |   20 
 NEWS.md                                                         |   15 
 R/bayes_mcmc.R                                                  |  291 +++---
 R/musk.R                                                        |   27 
 R/plot.R                                                        |   21 
 R/relab.R                                                       |   46 -
 R/sim.R                                                         |   40 
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New package grpCox with initial version 1.0
Package: grpCox
Type: Package
Title: Penalized Cox Model for High-Dimensional Data with Grouped Predictors
Version: 1.0
Date: 2020-05-14
Author: Xuan Dang
Maintainer: Xuan Dang <xuandang11289@gmail.com>
Description: Fit the penalized Cox models with both non-overlapping and overlapping grouped penalties including the group lasso, group smoothly clipped absolute deviation (SCAD), and group minimax concave penalty (MCP). The algorithms combine the Majorization Minimization (MM) approach and group-wise descent with some computational tricks including the screening, active set, and warm-start. Different tuning regularization parameter methods are provided.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.3)
LinkingTo: Rcpp, RcppEigen
Depends: Matrix (>= 1.2-10), MASS, colorspace
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-05-28 21:16:56 UTC; Work
Repository: CRAN
Date/Publication: 2020-06-03 16:00:07 UTC

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New package czechrates with initial version 0.1.8
Package: czechrates
Type: Package
Title: Czech Interest Rates
Version: 0.1.8
Date: 2020-05-28
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>
Description: Interface to interest rates as published by the Czech National Bank. Currently supported are the PRIBOR rates (PRague InterBank Offered Rate - the CZK member of the IBOR family of rates) and two-week repo rate - a key policy rate of CNB.
URL: https://github.com/jla-data/czechrates
BugReports: https://github.com/jla-data/czechrates/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: curl, httr, readr, dplyr, magrittr, tibble
Suggests: testthat, ggplot2, scales, knitr, covr
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-28 20:32:41 UTC; jindra
Repository: CRAN
Date/Publication: 2020-06-03 15:50:02 UTC

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New package concorR with initial version 0.2.0
Package: concorR
Type: Package
Title: CONCOR and Supplemental Functions
Version: 0.2.0
Authors@R: c( person("Tyme", "Suda", email = "suda.4@wright.edu", role = "aut"), person("Adrienne", "Traxler", email = "adrienne.traxler@wright.edu", role = "cre", comment = c(ORCID = "0000-0003-2725-0686")), person("Carter", "Butts", email = "buttsc@uci.edu", role = "ctb", comment = "Author of sna::plot.blockmodel(), adapted for plot_blk()"))
Description: Contains the CONCOR (CONvergence of iterated CORrelations) algorithm and a series of supplemental functions for easy running, plotting, and blockmodeling. The CONCOR algorithm is used on social network data to identify network positions based off a definition of structural equivalence; see Breiger, Boorman, and Arabie (1975) <doi:10.1016/0022-2496(75)90028-0> and Wasserman and Faust's book Social Network Analysis: Methods and Applications (1994). This version allows multiple relationships for the same set of nodes and uses both incoming and outgoing ties to find positions.
Imports: igraph, sna, stats, graphics
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://github.com/ATraxLab/concorR
BugReports: https://github.com/ATraxLab/concorR/issues
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-28 19:15:20 UTC; w039alt
Author: Tyme Suda [aut], Adrienne Traxler [cre] (<https://orcid.org/0000-0003-2725-0686>), Carter Butts [ctb] (Author of sna::plot.blockmodel(), adapted for plot_blk())
Maintainer: Adrienne Traxler <adrienne.traxler@wright.edu>
Repository: CRAN
Date/Publication: 2020-06-03 15:50:06 UTC

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Package lcmm updated to version 1.9.1 with previous version 1.8.1.1 dated 2020-05-26

Title: Extended Mixed Models Using Latent Classes and Latent Processes
Description: Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).
Author: Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>

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Package ezcox updated to version 0.6.0 with previous version 0.5.0 dated 2020-05-10

Title: Easily Process a Batch of Cox Models
Description: A tool to operate a batch of univariate or multivariate Cox models and return tidy result.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>)
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package emayili updated to version 0.4.0 with previous version 0.3.9 dated 2020-03-07

Title: Send Email Messages
Description: A light, simple tool for sending emails with minimal dependencies.
Author: Andrew B. Collier [aut, cre], Gerard Walsh [ctb], Antoine Bichat [ctb] (<https://orcid.org/0000-0001-6599-7081>), Daniel Fahey [ctb], Johann R. Kleinbub [ctb], Panagiotis Moulos [ctb]
Maintainer: Andrew B. Collier <andrew@exegetic.biz>

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Package btb updated to version 0.1.30.3 with previous version 0.1.30.1 dated 2020-05-26

Title: Beyond the Border - Kernel Density Estimation for Urban Geography
Description: The kernelSmoothing() function allows you to square and smooth geolocated data. It calculates a classical kernel smoothing (conservative) or a geographically weighted median. There are four major call modes of the function. The first call mode is kernelSmoothing(obs, epsg, cellsize, bandwith) for a classical kernel smoothing and automatic grid. The second call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, quantiles) for a geographically weighted median and automatic grid. The third call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, centroids) for a classical kernel smoothing and user grid. The fourth call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, quantiles, centroids) for a geographically weighted median and user grid. Geographically weighted summary statistics : a framework for localised exploratory data analysis, C.Brunsdon & al., in Computers, Environment and Urban Systems C.Brunsdon & al. (2002) <doi:10.1016/S0198-9715(01)00009-6>, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition, Diggle, pp. 83-86, (2003) <doi:10.1080/13658816.2014.937718>.
Author: Arlindo Dos Santos [cre], Francois Semecurbe [drt, aut], Auriane Renaud [ctb], Cynthia Faivre [ctb], Thierry Cornely [ctb], Farida Marouchi [ctb], Farida Marouchi [ctb]
Maintainer: Arlindo Dos Santos <Arlindo.Dos-Santos@insee.fr>

Diff between btb versions 0.1.30.1 dated 2020-05-26 and 0.1.30.3 dated 2020-06-03

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Package UCSCXenaShiny updated to version 0.5.0 with previous version 0.4.0 dated 2019-11-02

Title: A Shiny App for UCSC Xena Database
Description: Provides a web app for downloading, analyzing and visualizing datasets from UCSC Xena (<http://xena.ucsc.edu/>), which is a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Yi Xiong [aut] (<https://orcid.org/0000-0002-4370-9824>), Longfei Zhao [aut] (<https://orcid.org/0000-0002-6277-0137>), Kai Gu [aut] (<https://orcid.org/0000-0002-0177-0774>), Yin Li [aut], Fei Zhao [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between UCSCXenaShiny versions 0.4.0 dated 2019-11-02 and 0.5.0 dated 2020-06-03

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Package testassay updated to version 0.1.1 with previous version 0.1.0 dated 2016-11-29

Title: A Hypothesis Testing Framework for Validating an Assay for Precision
Description: A common way of validating a biological assay for is through a procedure, where m levels of an analyte are measured with n replicates at each level, and if all m estimates of the coefficient of variation (CV) are less than some prespecified level, then the assay is declared validated for precision within the range of the m analyte levels. Two limitations of this procedure are: there is no clear statistical statement of precision upon passing, and it is unclear how to modify the procedure for assays with constant standard deviation. We provide tools to convert such a procedure into a set of m hypothesis tests. This reframing motivates the m:n:q procedure, which upon completion delivers a 100q% upper confidence limit on the CV. Additionally, for a post-validation assay output of y, the method gives an ``effective standard deviation interval'' of log(y) plus or minus r, which is a 68% confidence interval on log(mu), where mu is the expected value of the assay output for that sample. Further, the m:n:q procedure can be straightforwardly applied to constant standard deviation assays. We illustrate these tools by applying them to a growth inhibition assay. This is an implementation of the methods described in Fay, Sachs, and Miura (2018) <doi:10.1002/sim.7528>.
Author: Michael C Sachs and Michael P Fay
Maintainer: Michael C Sachs <sachsmc@gmail.com>

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Package NonProbEst updated to version 0.2.4 with previous version 0.2.3 dated 2019-12-17

Title: Estimation in Nonprobability Sampling
Description: Different inference procedures are proposed in the literature to correct for selection bias that might be introduced with non-random selection mechanisms. A class of methods to correct for selection bias is to apply a statistical model to predict the units not in the sample (super-population modeling). Other studies use calibration or Statistical Matching (statistically match nonprobability and probability samples). To date, the more relevant methods are weighting by Propensity Score Adjustment (PSA). The Propensity Score Adjustment method was originally developed to construct weights by estimating response probabilities and using them in Horvitz–Thompson type estimators. This method is usually used by combining a non-probability sample with a reference sample to construct propensity models for the non-probability sample. Calibration can be used in a posterior way to adding information of auxiliary variables. Propensity scores in PSA are usually estimated using logistic regression models. Machine learning classification algorithms can be used as alternatives for logistic regression as a technique to estimate propensities. The package 'NonProbEst' implements some of these methods and thus provides a wide options to work with data coming from a non-probabilistic sample.
Author: Luis Castro Martín <luiscastro193@gmail.com>, Ramón Ferri García <rferri@ugr.es> and María del Mar Rueda <mrueda@ugr.es>
Maintainer: Luis Castro Martín <luiscastro193@gmail.com>

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Package neonUtilities updated to version 1.3.5 with previous version 1.3.4 dated 2020-04-30

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://data.neonscience.org/home> or through the NEON Data API (see <https://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>.
Author: Claire Lunch [aut, cre, ctb], Christine Laney [aut, ctb], Nathan Mietkiewicz [aut, ctb], Eric Sokol [aut, ctb], Kaelin Cawley [aut, ctb], NEON (National Ecological Observatory Network) [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>

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Package ape updated to version 5.4 with previous version 5.3 dated 2019-03-17

Title: Analyses of Phylogenetics and Evolution
Description: Functions for reading, writing, plotting, and manipulating phylogenetic trees, analyses of comparative data in a phylogenetic framework, ancestral character analyses, analyses of diversification and macroevolution, computing distances from DNA sequences, reading and writing nucleotide sequences as well as importing from BioConductor, and several tools such as Mantel's test, generalized skyline plots, graphical exploration of phylogenetic data (alex, trex, kronoviz), estimation of absolute evolutionary rates and clock-like trees using mean path lengths and penalized likelihood, dating trees with non-contemporaneous sequences, translating DNA into AA sequences, and assessing sequence alignments. Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and triangle methods, and several methods handling incomplete distance matrices (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some functions call external applications (PhyML, Clustal, T-Coffee, Muscle) whose results are returned into R.
Author: Emmanuel Paradis [aut, cre, cph] (<https://orcid.org/0000-0003-3092-2199>), Simon Blomberg [aut, cph] (<https://orcid.org/0000-0003-1062-0839>), Ben Bolker [aut, cph] (<https://orcid.org/0000-0002-2127-0443>), Joseph Brown [aut, cph], Santiago Claramunt [aut, cph] (<https://orcid.org/0000-0002-8926-5974>), Julien Claude [aut, cph] (<https://orcid.org/0000-0002-9267-1228>), Hoa Sien Cuong [aut, cph], Richard Desper [aut, cph], Gilles Didier [aut, cph] (<https://orcid.org/0000-0003-0596-9112>), Benoit Durand [aut, cph], Julien Dutheil [aut, cph] (<https://orcid.org/0000-0001-7753-4121>), RJ Ewing [aut, cph], Olivier Gascuel [aut, cph], Thomas Guillerme [aut, cph] (<https://orcid.org/0000-0003-4325-1275>), Christoph Heibl [aut, cph] (<https://orcid.org/0000-0002-7655-3299>), Anthony Ives [aut, cph], Bradley Jones [aut, cph] (<https://orcid.org/0000-0003-4498-1069>), Franz Krah [aut, cph] (<https://orcid.org/0000-0001-7866-7508>), Daniel Lawson [aut, cph] (<https://orcid.org/0000-0002-5311-6213>), Vincent Lefort [aut, cph], Pierre Legendre [aut, cph] (<https://orcid.org/0000-0002-3838-3305>), Jim Lemon [aut, cph], Guillaume Louvel [aut, cph], Eric Marcon [aut, cph] (<https://orcid.org/0000-0002-5249-321X>), Rosemary McCloskey [aut, cph], Johan Nylander [aut, cph], Rainer Opgen-Rhein [aut, cph], Andrei-Alin Popescu [aut, cph], Manuela Royer-Carenzi [aut, cph], Klaus Schliep [aut, cph] (<https://orcid.org/0000-0003-2941-0161>), Korbinian Strimmer [aut, cph] (<https://orcid.org/0000-0001-7917-2056>), Damien de Vienne [aut, cph] (<https://orcid.org/0000-0001-9532-5251>)
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>

Diff between ape versions 5.3 dated 2019-03-17 and 5.4 dated 2020-06-03

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New package MMRcaseselection with initial version 0.1.0
Package: MMRcaseselection
Type: Package
Title: Case Classification and Selection Based on Regression Results
Version: 0.1.0
Authors@R: person("Ingo", "Rohlfing", email = "i.rohlfing@uni-koeln.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8715-4771"))
Depends: R (>= 2.10)
Description: Researchers doing a mixed-methods analysis (nested analysis as developed by Lieberman (2005) <doi:10.1017/S0003055405051762>) can use the package for the classification of cases and case selection using results of a linear regression. One can designate cases as typical, deviant, extreme and pathway case and use different case selection strategies for the choice of a case belonging to one of these types.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, ggplot2
RoxygenNote: 7.1.0
URL: https://github.com/ingorohlfing/MMRcaseselection
BugReports: https://github.com/ingorohlfing/MMRcaseselection
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2020-05-27 19:34:29 UTC; Ingo R
Author: Ingo Rohlfing [aut, cre] (<https://orcid.org/0000-0001-8715-4771>)
Maintainer: Ingo Rohlfing <i.rohlfing@uni-koeln.de>
Repository: CRAN
Date/Publication: 2020-06-03 11:40:02 UTC

More information about MMRcaseselection at CRAN
Permanent link

New package EvaluateCore with initial version 0.1.1
Package: EvaluateCore
Title: Quality Evaluation of Core Collections
Version: 0.1.1
Authors@R: c( person(given = "J.", family = "Aravind", email = "j.aravind@icar.gov.in", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4791-442X")), person(given = "Vikender", family = "Kaur", email = "vikender.kaur@icar.gov.in", role = "aut"), person(given = c("Dhammaprakash", "Pandhari"), family = "Wankhede", email = "d.wankhede@icar.gov.in", role = "aut", comment = c(ORCID = "0000-0001-6384-8664")), person(given = "Joghee", family = "Nanjundan", email = "j.nanjundan@icar.gov.in", role = "aut", comment = c(ORCID = "0000-0001-6254-7341")), person("ICAR-NBGPR", role = c("cph"), comment = c(url = "www.nbpgr.ernet.in")))
Description: Implements various quality evaluation statistics to assess the value of plant germplasm core collections using qualitative and quantitative phenotypic trait data according to Odong et al. (2015) <doi:10.1007/s00122-012-1971-y>.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
URL: https://github.com/aravind-j/EvaluateCore https://aravind-j.github.io/EvaluateCore
BugReports: https://github.com/aravind-j/EvaluateCore/issues
RdMacros: Rdpack
Depends: R (>= 3.5.0)
Imports: agricolae, car, cluster, dplyr, entropy, ggcorrplot, ggplot2, grDevices, gridExtra, kSamples, psych, reshape2, Rdpack, stats, vegan
Suggests: ccChooser, corehunter, rJava (>= 0.9-8)
NeedsCompilation: no
Packaged: 2020-05-27 14:10:23 UTC; aravind
Author: J. Aravind [aut, cre] (<https://orcid.org/0000-0002-4791-442X>), Vikender Kaur [aut], Dhammaprakash Pandhari Wankhede [aut] (<https://orcid.org/0000-0001-6384-8664>), Joghee Nanjundan [aut] (<https://orcid.org/0000-0001-6254-7341>), ICAR-NBGPR [cph] (www.nbpgr.ernet.in)
Maintainer: J. Aravind <j.aravind@icar.gov.in>
Repository: CRAN
Date/Publication: 2020-06-03 11:30:07 UTC

More information about EvaluateCore at CRAN
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Package dispRity updated to version 1.4.1 with previous version 1.4.0 dated 2020-05-05

Title: Measuring Disparity
Description: A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics (Guillerme (2018) <doi:10.1111/2041-210X.13022>). The package also provides functions for looking at disparity in a serial way (e.g. disparity through time - Guillerme and Cooper (2018) <doi:10.1111/pala.12364>) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.
Author: Thomas Guillerme [aut, cre, cph], Mark N Puttick [aut, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>

Diff between dispRity versions 1.4.0 dated 2020-05-05 and 1.4.1 dated 2020-06-03

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Package photobiology updated to version 0.10.3 with previous version 0.10.2 dated 2020-04-27

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima: peaks, valleys and spikes. Conversion between energy-and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>), Glenn Davis [ctb], Agnese Fazio [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package mvSLOUCH updated to version 2.5 with previous version 2.4 dated 2020-02-24

Title: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history. See K. Bartoszek, J, Pienaar, P. Mostad, S. Andersson, T. F.Hansen (2012) <doi:10.1016/j.jtbi.2012.08.005>. The suggested PCMBaseCpp package (which significantly speeds up the likelihood calculations) can be obtained from <https://github.com/venelin/PCMBaseCpp/>.
Author: Krzysztof Bartoszek <krzbar@protonmail.ch>
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

Diff between mvSLOUCH versions 2.4 dated 2020-02-24 and 2.5 dated 2020-06-03

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Package cartograflow updated to version 1.0.2 with previous version 1.0.1 dated 2020-05-17

Title: Filtering Matrix for Flow Mapping
Description: Functions to prepare and filter an origin-destination matrix for thematic flow mapping purposes. This comes after Bahoken, Francoise (2016), Mapping flow matrix a contribution, PhD in Geography - Territorial sciences. See Bahoken (2017) <doi:10.4000/netcom.2565>.
Author: Sylvain Blondeau [aut, cre], Francoise Bahoken [aut]
Maintainer: Sylvain Blondeau <blondeau.sylvain@yahoo.fr>

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Package RMaCzek updated to version 1.3.4 with previous version 1.3.3 dated 2020-04-09

Title: Czekanowski's Diagrams
Description: Allows for production of Czekanowski's Diagrams. See A. Vasterlund (2019) Master thesis, Linkoping University.
Author: Albin Vasterlund [aut], Krzysztof Bartoszek [cre, aut, ths]
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

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Package mlr3misc updated to version 0.3.0 with previous version 0.2.0 dated 2020-04-15

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Michel Lang <michellang@gmail.com>

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Package mangoTraining updated to version 1.1 with previous version 1.0-7 dated 2017-01-17

Title: Mango Solutions Training Datasets
Description: Datasets to be used primarily in conjunction with Mango Solutions training materials but also for the book 'SAMS Teach Yourself R in 24 Hours' (ISBN: 978-0-672-33848-9). Version 1.0-7 is largely for use with the book; however, version 1.1 has a much greater focus on use with training materials, whilst retaining compatibility with the book.
Author: Mango Solutions [aut], Karina Marks [ctb, cre], Aimee Gott [aut], Andrew Little [ctb, dtc, rev], Owen Jones [ctb]
Maintainer: Karina Marks <kmarks@mango-solutions.com>

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New package vennLasso with initial version 0.1.6
Package: vennLasso
Type: Package
Title: Variable Selection for Heterogeneous Populations
Version: 0.1.6
Authors@R: c( person("Jared", "Huling", , "jaredhuling@gmail.com", c("aut", "cre"), comment = c(ORCID = "0000-0003-0670-4845")), person("Muxuan", "Liang", , , c("ctb")), person("Yixuan", "Qiu", , , c("cph")), person("Gael", "Guennebaud", , , c("cph")), person("Ray", "Gardner", , , c("cph")), person("Jitse", "Niesen", , , c("cph")) )
Description: Provides variable selection and estimation routines for models with main effects stratified on multiple binary factors. The 'vennLasso' package is an implementation of the method introduced in Huling, et al. (2017) <doi:10.1111/biom.12769>.
URL: https://github.com/jaredhuling/vennLasso
BugReports: https://github.com/jaredhuling/vennLasso/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.2.0)
Imports: Rcpp (>= 0.11.0), foreach, survival, MASS, Matrix, VennDiagram, visNetwork, igraph, methods
LinkingTo: Rcpp, RcppEigen, RcppNumerical
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-06-02 18:26:58 UTC; huling.7
Author: Jared Huling [aut, cre] (<https://orcid.org/0000-0003-0670-4845>), Muxuan Liang [ctb], Yixuan Qiu [cph], Gael Guennebaud [cph], Ray Gardner [cph], Jitse Niesen [cph]
Maintainer: Jared Huling <jaredhuling@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-03 08:50:02 UTC

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Package saqgetr updated to version 0.2.0 with previous version 0.1.19 dated 2020-01-09

Title: Import Air Quality Monitoring Data in a Fast and Easy Way
Description: A collection of tools to access prepared air quality monitoring data files from web servers with ease and speed. Air quality data are sourced from open and publicly accessible repositories and can be found in these locations: <https://www.eea.europa.eu/data-and-maps/data/airbase-the-european-air-quality-database-8> and <http://discomap.eea.europa.eu/map/fme/AirQualityExport.htm>. The web server space has been provided by Ricardo Energy & Environment.
Author: Stuart K. Grange [cre, aut] (<https://orcid.org/0000-0003-4093-3596>)
Maintainer: Stuart K. Grange <stuart.grange@york.ac.uk>

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New package macleish with initial version 0.3.6
Package: macleish
Type: Package
Title: Retrieve Data from MacLeish Field Station
Version: 0.3.6
Authors@R: c( person("Benjamin S.", "Baumer", email = "ben.baumer@gmail.com", role = c("aut", "cre")), person("Rose", "Goueth", role = "aut"), person("Wencong", "Li", email = "liwencong1995@gmail.com", role = "aut"), person("Weijia", "Zhang", email = "wzhang23@smith.edu", role = "aut"), person("Nicholas", "Horton", email = "nhorton@amherst.edu", role = "aut") )
Description: Download data from the Ada and Archibald MacLeish Field Station in Whately, MA. The Ada and Archibald MacLeish Field Station is a 260-acre patchwork of forest and farmland located in West Whately, MA that provides opportunities for faculty and students to pursue environmental research, outdoor education, and low-impact recreation (see <http://www.smith.edu/ceeds/macleish.php> for more information). This package contains weather data over several years, and spatial data on various man-made and natural structures.
License: CC0
LazyData: TRUE
Imports: dplyr, lubridate, readr, sf
Depends: R (>= 3.5), etl
Suggests: ggplot2, dbplyr, RSQLite, broom, knitr, leaflet, purrr, rmarkdown, mgcv, clifro, testthat
URL: http://github.com/beanumber/macleish
BugReports: https://github.com/beanumber/macleish/issues
RoxygenNote: 7.1.0
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown, etl, dplyr, ggplot2, lubridate, mgcv, leaflet, clifro
NeedsCompilation: no
Packaged: 2020-06-02 19:30:31 UTC; bbaumer
Author: Benjamin S. Baumer [aut, cre], Rose Goueth [aut], Wencong Li [aut], Weijia Zhang [aut], Nicholas Horton [aut]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-03 08:50:07 UTC

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Package dmm updated to version 2.1-6 with previous version 2.1-5 dated 2018-07-16

Title: Dyadic Mixed Model for Pedigree Data
Description: Dyadic mixed model analysis with multi-trait responses and pedigree-based partitioning of individual variation into a range of environmental and genetic variance components for individual and maternal effects. Method documented in dmmOverview.pdf; it is an implementation of dispersion mean model described by Searle et al. (1992) "Variance Components", Wiley, NY.
Author: Neville Jackson
Maintainer: Neville Jackson <nanddjackson@bigpond.com>

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Package Andromeda updated to version 0.3.1 with previous version 0.2.0 dated 2020-05-20

Title: Asynchronous Disk-Based Representation of Massive Data
Description: Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
Author: Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package strider updated to version 1.3 with previous version 1.2 dated 2019-01-26

Title: Strided Iterator and Range
Description: The strided iterator adapts multidimensional buffers to work with the C++ standard library and range-based for-loops. Given a pointer or iterator into a multidimensional data buffer, one can generate an iterator range using make_strided to construct strided versions of the standard library's begin and end. For constructing range-based for-loops, a strided_range class is provided. These help authors to avoid integer-based indexing, which in some cases can impede algorithm performance and introduce indexing errors. This library exists primarily to expose the header file to other R projects.
Author: Tim Keitt [aut, cre]
Maintainer: Tim Keitt <tkeitt@gmail.com>

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Package rscorecard updated to version 0.16.0 with previous version 0.15.0 dated 2020-04-09

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre] (<https://orcid.org/0000-0002-0337-7415>)
Maintainer: Benjamin Skinner <btskinner@coe.ufl.edu>

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Package r2dii.data updated to version 0.1.0 with previous version 0.0.3 dated 2020-03-25

Title: Datasets to Align Financial Markets with Climate Goals
Description: These datasets support the implementation in R of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between financial assets and climate scenarios (<https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation impacts the climate. Because both financial institutions and market data providers keep their data private, this package provides fake, public data to enable the development and use of 'PACTA' in R.
Author: Mauro Lepore [aut, cre, ctr] (<https://orcid.org/0000-0002-1986-7988>), Jackson Hoffart [aut, dtc] (<https://orcid.org/0000-0002-8600-5042>), Klaus Hagedorn [aut], 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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Package QCA updated to version 3.8.2 with previous version 3.8.1 dated 2020-05-29

Title: Qualitative Comparative Analysis
Description: An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'), using a GUI - graphical user interface. 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean algorithm that results in a minimal causal combination that explains a given phenomenon.
Author: Adrian Dusa [aut, cre, cph] (<https://orcid.org/0000-0002-3525-9253>), Ciprian Paduraru [ctb] (<https://orcid.org/0000-0002-4518-374X>), jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/gui/www/lib/jquery-AUTHORS.txt), lp_solve [cph] (http://lpsolve.sourceforge.net), Vasil Dinkov [ctb, cph] (jquery.smartmenus.js library), Dmitry Baranovskiy [ctb, cph] (raphael.js library), Emmanuel Quentin [ctb, cph] (raphael.inline_text_editing.js library), Jimmy Breck-McKye [ctb, cph] (raphael-paragraph.js library), Alrik Thiem [aut] (from version 1.0-0 up to version 1.1-3)
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package littler updated to version 0.3.10 with previous version 0.3.9 dated 2019-10-27

Title: R at the Command-Line via 'r'
Description: A scripting and command-line front-end is provided by 'r' (aka 'littler') as a lightweight binary wrapper around the GNU R language and environment for statistical computing and graphics. While R can be used in batch mode, the r binary adds full support for both 'shebang'-style scripting (i.e. using a hash-mark-exclamation-path expression as the first line in scripts) as well as command-line use in standard Unix pipelines. In other words, r provides the R language without the environment.
Author: Dirk Eddelbuettel and Jeff Horner
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package idiogramFISH updated to version 1.15.1 with previous version 1.14.11 dated 2020-04-30

Title: Idiograms with Marks and Karyotype Indices
Description: Plot idiograms of karyotypes, plasmids, circular chr. having a set of data.frames for chromosome data and optionally mark data. Two styles of chromosomes can be used: without or with visible chromatids (when not circular). Supports micrometers, cM and Mb or any unit. Two styles of centromeres are available: triangular and rounded; and seven styles of marks: square, dots, cM, cMLeft, cenStyle, upArrow, downArrow; its legend (label) can be drawn inline or to the right of karyotypes. Idiograms can also be plotted in concentric circles. It is possible to calculate chromosome indices by Levan et al. (1964) <doi:10.1111/j.1601-5223.1964.tb01953.x>, karyotype indices of Watanabe et al. (1999) <doi:10.1007/PL00013869> and Romero-Zarco (1986) <doi:10.2307/1221906> and classify chromosomes by morphology Guerra (1986) and Levan et al. (1964).
Author: Fernando Roa [aut, cre], Mariana PC Telles [ctb]
Maintainer: Fernando Roa <froao@unal.edu.co>

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Package geouy updated to version 0.2.1 with previous version 0.1.9 dated 2020-03-26

Title: Geographic Information of Uruguay
Description: The toolbox have functions to load and process geographic information for Uruguay. And extra-function to get address coordinates and orthophotos through the uruguayan 'IDE' API <https://www.gub.uy/infraestructura-datos-espaciales/tramites-y-servicios/servicios/servicio-direcciones-geograficas>.
Author: Richard Detomasi [aut, cre] (<https://orcid.org/0000-0002-6725-0261>), Ministerio de Desarrollo Social, Uruguay (MIDES) [dtc], Infraestrutura de Datos Espaciales, Uruguay (IDE) [dtc], Servicio Geográfico Militar, Uruguay (SGM) [dtc], Ministerio de Transporte y Obras Públicas, Uruguay (MTOP) [dtc], Instituto Nacional de Estadística, Uruguay (INE) [dtc], Instituto Geográfico Militar, Uruguay (IGM) [dtc], Ministerio de Vivienda, Ordenamiento Territorial y Medio Ambiente, Uruguay (MVOTMA) [dtc]
Maintainer: Richard Detomasi <richard.detomasi@gmail.com>

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Package farrell updated to version 0.2.0 with previous version 0.1.0 dated 2020-06-02

Title: Interactive Interface to Data Envelopment Analysis Modeling
Description: Allows the user to execute interactively radial data envelopment analysis models. The user has the ability to upload a data frame, select the input/output variables, choose the technology assumption to adopt and decide whether to run an input or an output oriented model. When the model is executed a set of results are displayed which include efficiency scores, peers' determination, scale efficiencies' evaluation and slacks' calculation. Fore more information about the theoretical background of the package, please refer to Bogetoft & Otto (2011) <doi:10.1007/978-1-4419-7961-2>.
Author: Mohamed El Fodil Ihaddaden
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

Diff between farrell versions 0.1.0 dated 2020-06-02 and 0.2.0 dated 2020-06-03

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Package modeltests updated to version 0.1.2 with previous version 0.1.1 dated 2020-04-14

Title: Testing Infrastructure for Broom Model Generics
Description: Provides a number of testthat tests that can be used to verify that tidy(), glance() and augment() methods meet consistent specifications. This allows methods for the same generic to be spread across multiple packages, since all of those packages can make the same guarantees to users about returned objects.
Author: Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Simon Couch [ctb]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

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Package DrInsight updated to version 0.1.2 with previous version 0.1.1 dated 2018-04-18

Title: Drug Repurposing: Integration and Systematic Investigation of Genomic High Throughput Data
Description: This is a connectivity mapping-based drug repurposing tool that identifies drugs that can potentially reverse query disease phenotype or have similar functions with query drugs.
Author: Jinyan Chan [aut, cre], Jinghua Gu [aut]
Maintainer: Jinyan Chan <Jinyan_Chan@baylor.edu>

Diff between DrInsight versions 0.1.1 dated 2018-04-18 and 0.1.2 dated 2020-06-03

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Package climate updated to version 0.9.6 with previous version 0.9.5 dated 2020-05-05

Title: Interface to Download Meteorological (and Hydrological) Datasets
Description: Automatize downloading of meteorological and hydrological data from publicly available repositories: OGIMET (<http://ogimet.com/index.phtml.en>), University of Wyoming - atmospheric vertical profiling data (<http://weather.uwyo.edu/upperair>), Polish Institute of Meterology and Water Management - National Research Institute (<https://dane.imgw.pl>), and National Oceanic & Atmospheric Administration (NOAA). This package also allows for adding geographical coordinates for each observation.
Author: Bartosz Czernecki [aut, cre] (<https://orcid.org/0000-0001-6496-1386>), Arkadiusz Głogowski [aut] (<https://orcid.org/0000-0002-7587-8892>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), IMGW-PIB [ctb] (source of the data)
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>

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