Tue, 05 Feb 2019

Package R.rsp updated to version 0.43.1 with previous version 0.43.0 dated 2018-08-26

Title: Dynamic Generation of Scientific Reports
Description: The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'. RSP is ideal for self-contained scientific reports and R package vignettes. It's easy to use - if you know how to write an R script, you'll be up and running within minutes.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.rsp versions 0.43.0 dated 2018-08-26 and 0.43.1 dated 2019-02-05

 DESCRIPTION                                      |   12 +++---
 MD5                                              |   43 +++++++++++------------
 NEWS                                             |   15 ++++++++
 R/999.package.R                                  |    3 -
 R/HttpDaemon.R                                   |    2 -
 R/RspDirective.R                                 |    5 ++
 R/compileAsciiDoc.R                              |    3 +
 R/compileAsciiDocNoweb.R                         |    6 ++-
 R/readText.R                                     |    5 ++
 build/vignette.rds                               |binary
 inst/WORDLIST                                    |only
 inst/doc/Dynamic_document_creation_using_RSP.pdf |binary
 inst/doc/RSP_intro.html                          |   11 +++--
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 inst/doc/RSP_refcard.pdf                         |binary
 inst/doc/R_packages-LaTeX_vignettes.pdf          |binary
 inst/doc/R_packages-RSP_vignettes.html           |    2 -
 inst/doc/R_packages-Vignettes_prior_to_R300.pdf  |binary
 man/R.rsp-package.Rd                             |    7 +--
 man/compileAsciiDoc.Rd                           |    3 +
 man/compileAsciiDocNoweb.Rd                      |    6 ++-
 man/start.HttpDaemon.Rd                          |    2 -
 vignettes/RSP_intro.html.rsp                     |    2 -
 23 files changed, 83 insertions(+), 46 deletions(-)

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New package tfio with initial version 0.2.0
Package: tfio
Type: Package
Title: Interface to 'TensorFlow IO'
Version: 0.2.0
Authors@R: c( person("TensorFlow IO Contributors", role = c("aut", "cph"), email = "io@tensorflow.org", comment = "Full list of contributors can be found at <https://github.com/tensorflow/io/graphs/contributors>"), person("Yuan", "Tang", role = c("aut", "cre"), email = "terrytangyuan@gmail.com", comment = c(ORCID = "0000-0001-5243-233X")), person(family = "TensorFlow Authors", role = c("cph")), person("Ant Financial", role = c("cph")), person("RStudio", role = c("cph")) )
Description: Interface to 'TensorFlow IO', datasets and filesystem extensions maintained by 'TensorFlow SIG-IO' <https://github.com/tensorflow/community/blob/master/sigs/io/CHARTER.md>.
License: Apache License 2.0
URL: https://github.com/tensorflow/io
BugReports: https://github.com/tensorflow/io/issues
SystemRequirements: TensorFlow >= 1.4 (https://www.tensorflow.org/)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1)
Imports: reticulate (>= 1.10), tensorflow (>= 1.9), tfdatasets (>= 1.9), forge, magrittr
RoxygenNote: 6.1.0
Suggests: testthat, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-02-01 16:51:39 UTC; yuan.tang
Author: TensorFlow IO Contributors [aut, cph] (Full list of contributors can be found at <https://github.com/tensorflow/io/graphs/contributors>), Yuan Tang [aut, cre] (<https://orcid.org/0000-0001-5243-233X>), TensorFlow Authors [cph], Ant Financial [cph], RStudio [cph]
Maintainer: Yuan Tang <terrytangyuan@gmail.com>
Repository: CRAN
Date/Publication: 2019-02-05 22:50:03 UTC

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New package tfdeploy with initial version 0.6.0
Package: tfdeploy
Type: Package
Title: Deploy 'TensorFlow' Models
Version: 0.6.0
Authors@R: c( person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("aut", "cre")), person(family = "RStudio", role = c("cph")) )
Maintainer: Javier Luraschi <javier@rstudio.com>
Description: Tools to deploy 'TensorFlow' <https://www.tensorflow.org/> models across multiple services. Currently, it provides a local server for testing 'cloudml' compatible services.
License: Apache License 2.0
Encoding: UTF-8
LazyData: true
Imports: httpuv, httr, jsonlite, magrittr, reticulate, swagger, tensorflow
Suggests: cloudml, knitr, pixels, processx, testthat, yaml
RoxygenNote: 6.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-31 17:56:07 UTC; javierluraschi
Author: Javier Luraschi [aut, cre], RStudio [cph]
Repository: CRAN
Date/Publication: 2019-02-05 22:40:04 UTC

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New package shinyMatrix with initial version 0.1.0
Package: shinyMatrix
Title: Shiny Matrix Input Field
Version: 0.1.0
Author: Andreas Neudecker
Maintainer: Andreas Neudecker <andreas.neudecker@inwt-statistics.de>
Description: Implements a custom matrix input field.
Depends: R (>= 3.5)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: shiny, jsonlite
Suggests: testthat, covr
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-01-30 15:57:49 UTC; aneudecker
Repository: CRAN
Date/Publication: 2019-02-05 22:00:03 UTC

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Package pbapply updated to version 1.4-0 with previous version 1.3-4 dated 2018-01-10

Title: Adding Progress Bar to '*apply' Functions
Description: A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Supports several parallel processing backends.
Author: Peter Solymos [aut, cre], Zygmunt Zawadzki [aut]
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between pbapply versions 1.3-4 dated 2018-01-10 and 1.4-0 dated 2019-02-05

 DESCRIPTION    |    8 ++++----
 MD5            |   10 ++++++----
 NAMESPACE      |    2 +-
 R/pblapply.R   |    2 ++
 R/pbmapply.R   |only
 man/pbapply.Rd |   28 +++++++++++++++++++++++++---
 tests          |only
 7 files changed, 38 insertions(+), 12 deletions(-)

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New package missCompare with initial version 1.0.1
Package: missCompare
Type: Package
Title: Intuitive Missing Data Imputation Framework
Version: 1.0.1
Authors@R: c(person("Tibor", "V. Varga", email = "tirgit@hotmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2383-699X")), person("David", "Westergaard", email = "david.westergaard@cpr.ku.dk", role= c("aut"), comment = c(ORCID = "0000-0003-0128-8432")))
Maintainer: Tibor V. Varga <tirgit@hotmail.com>
Description: Offers a convenient pipeline to test and compare various missing data imputation algorithms on simulated and real data. The central assumption behind missCompare is that structurally different datasets (e.g. larger datasets with a large number of correlated variables vs. smaller datasets with non correlated variables) will benefit differently from different missing data imputation algorithms. missCompare takes measurements of your dataset and sets up a sandbox to try a curated list of standard and sophisticated missing data imputation algorithms and compares them assuming custom missingness patterns. missCompare will also impute your real-life dataset for you after the selection of the best performing algorithm in the simulations. The package also provides various post-imputation diagnostics and visualizations to help you assess imputation performance.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
BugReports: https://github.com/Tirgit/missCompare/issues
Depends: R (>= 3.5.0)
biocViews:
Imports: Amelia, data.table, dplyr, ggdendro, ggplot2, Hmisc, ltm, magrittr, MASS, Matrix, mi, mice, missForest, missMDA, pcaMethods, plyr, rlang, stats, utils, tidyr, VIM
Suggests: testthat, knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-31 07:55:03 UTC; med-tv_
Author: Tibor V. Varga [aut, cre] (<https://orcid.org/0000-0002-2383-699X>), David Westergaard [aut] (<https://orcid.org/0000-0003-0128-8432>)
Repository: CRAN
Date/Publication: 2019-02-05 22:22:07 UTC

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Package logspline updated to version 2.1.12 with previous version 2.1.11 dated 2018-06-14

Title: Routines for Logspline Density Estimation
Description: Contains routines for logspline density estimation. The function oldlogspline() uses the same algorithm as the logspline package version 1.0.x; i.e. the Kooperberg and Stone (1992) algorithm (with an improved interface). The recommended routine logspline() uses an algorithm from Stone et al (1997) <DOI:10.1214/aos/1031594728>.
Author: Charles Kooperberg <clk@fredhutch.org>
Maintainer: Charles Kooperberg <clk@fredhutch.org>

Diff between logspline versions 2.1.11 dated 2018-06-14 and 2.1.12 dated 2019-02-05

 DESCRIPTION |   10 +++++-----
 MD5         |    4 ++--
 src/nlsd.c  |    7 ++++++-
 3 files changed, 13 insertions(+), 8 deletions(-)

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New package CongreveLamsdell2016 with initial version 1.0.0
Package: CongreveLamsdell2016
Version: 1.0.0
Date: 2019-01-28
Title: Distance metrics for trees generated by Congreve and Lamsdell (2016)
Description: Includes the 100 datasets simulated by Congreve and Lamsdell (2016) <doi:10.1111/pala.12236>, and analyses of the partition and quartet distance of reconstructed trees from the generative tree, as analysed by Smith (2019) <doi:10.1098/rsbl.2018.0632>.
URL: https://github.com/ms609/CongreveLamsdell2016
BugReports: https://github.com/ms609/Quartet/issues
Authors@R: c(person("Martin R.", 'Smith', email='martin.smith@durham.ac.uk', role=c("aut", "cre", "cph"), comment=c(ORCID = "0000-0001-5660-1727")), person(given = "Curtis R.", family="Congreve", role = c("cph", "dtc")), person('James C.', 'Lamsdell', role=c("cph", "dtc")) )
Copyright: Data from Congreve & Lamsdell (2016) released under a CC0 license <doi:10.5061/dryad.7dq0j/1>.
License: GPL (>= 2)
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.4.0)
Imports: Ternary
Suggests: ape, bookdown, knitr, phangorn, Quartet, rmarkdown, TreeSearch (> 0.2.0), usethis
LazyData: true
ByteCompile: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-28 14:11:20 UTC; ms609
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Curtis R. Congreve [cph, dtc], James C. Lamsdell [cph, dtc]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>
Repository: CRAN
Date/Publication: 2019-02-05 22:04:07 UTC

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Package bWGR updated to version 1.5.7 with previous version 1.5.6 dated 2018-10-04

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, with optional kernel term and sampling techniques as described by Xavier (2017) <doi:10.1186/s12859-017-1582-3>.
Author: Alencar Xavier, William Muir, Shizhong Xu, Katy Rainey.
Maintainer: Alencar Xavier <alenxav@gmail.com>

Diff between bWGR versions 1.5.6 dated 2018-10-04 and 1.5.7 dated 2019-02-05

 bWGR-1.5.6/bWGR/man/mkr.Rd          |only
 bWGR-1.5.6/bWGR/src/wgr20180916.cpp |only
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 bWGR-1.5.7/bWGR/MD5                 |   18 +-
 bWGR-1.5.7/bWGR/R/RcppExports.R     |  234 ++++++++++++++++++------------------
 bWGR-1.5.7/bWGR/R/cv.R              |    4 
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 12 files changed, 164 insertions(+), 143 deletions(-)

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New package bayesdistreg with initial version 0.1.0
Package: bayesdistreg
Type: Package
Title: Bayesian Distribution Regression
Version: 0.1.0
Authors@R: c( person("Emmanuel", "Tsyawo", email = "estsyawo@temple.edu", role = c("aut","cre")), person("Weige", "Huang", email = "weige.huang@temple.edu", role=c("aut")))
Maintainer: Emmanuel Tsyawo <estsyawo@temple.edu>
Description: Implements Bayesian Distribution Regression methods. This package contains functions for three estimators (non-asymptotic, semi-asymptotic and asymptotic) and related routines for Bayesian Distribution Regression in Huang and Tsyawo (2018) <doi:10.2139/ssrn.3048658> which is also the recommended reference to cite for this package. The functions can be grouped into three (3) categories. The first computes the logit likelihood function and posterior densities under uniform and normal priors. The second contains Independence and Random Walk Metropolis-Hastings Markov Chain Monte Carlo (MCMC) algorithms as functions and the third category of functions are useful for semi-asymptotic and asymptotic Bayesian distribution regression inference.
Depends: R (>= 2.1.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: MASS, sandwich, stats
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-31 20:45:33 UTC; Selorm
Author: Emmanuel Tsyawo [aut, cre], Weige Huang [aut]
Repository: CRAN
Date/Publication: 2019-02-05 22:44:13 UTC

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New package NSO1212 with initial version 1.0.0
Package: NSO1212
Title: National Statistical Office of Mongolia's Open Data API Handler
Version: 1.0.0
Date: 2019-01-24
Description: National Statistical Office of Mongolia (NSO) is the national statistical service and an organization of Mongolian government. NSO provides open access and official data via its web site <http://www.1212.mn/> and API <http://opendata.1212.mn/en/doc>. The package NSO1212 has functions for accessing the API service. The functions are compatible with the API v2.0 and get data sets and its detailed informations from the API.
Authors@R: person("Makhgal", "Ganbold", email = "makhgal@seas.num.edu.mn", role = c("aut", "cre"))
Maintainer: Makhgal Ganbold <makhgal@seas.num.edu.mn>
URL: https://github.com/galaamn/NSO1212
BugReports: https://github.com/galaamn/NSO1212/issues
Depends: R (>= 3.5.0)
Imports: httr, jsonlite
License: GPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
NeedsCompilation: no
RoxygenNote: 6.1.1
Packaged: 2019-01-31 09:58:25 UTC; galaa
Author: Makhgal Ganbold [aut, cre]
Repository: CRAN
Date/Publication: 2019-02-05 21:56:01 UTC

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Package evaluator updated to version 0.3.2 with previous version 0.3.1 dated 2018-10-18

Title: Quantified Risk Assessment Toolkit
Description: An open source risk analysis toolkit based on the OpenFAIR taxonomy <https://www2.opengroup.org/ogsys/catalog/C13K> and risk assessment standard <https://www2.opengroup.org/ogsys/catalog/C13G>. Empowers an organization to perform a quantifiable, repeatable, and data-driven risk review.
Author: David Severski [aut, cre] (<https://orcid.org/0000-0001-7867-0459>)
Maintainer: David Severski <davidski@deadheaven.com>

Diff between evaluator versions 0.3.1 dated 2018-10-18 and 0.3.2 dated 2019-02-05

 DESCRIPTION                                                    |   12 
 MD5                                                            |   30 +-
 NEWS.md                                                        |   20 +
 README.md                                                      |    9 
 build/vignette.rds                                             |binary
 inst/doc/process.Rmd                                           |    4 
 inst/doc/process.html                                          |   32 ++
 inst/doc/usage.Rmd                                             |    6 
 inst/doc/usage.html                                            |   82 ++++--
 inst/openfair_example/tests/openfair_example-expected/001.json |  130 +++++-----
 inst/openfair_example/tests/openfair_example-expected/001.png  |binary
 inst/openfair_example/tests/openfair_example.R                 |    4 
 inst/rmd/analyze_risk.Rmd                                      |   17 -
 tests/testthat/test-summarize.R                                |   17 -
 vignettes/process.Rmd                                          |    4 
 vignettes/usage.Rmd                                            |    6 
 16 files changed, 222 insertions(+), 151 deletions(-)

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Package egoTERGM updated to version 2.1.0 with previous version 2.0.1 dated 2018-10-12

Title: Estimation of Ego-Temporal Exponential Random Graph Models via Expectation Maximization (EM)
Description: Estimation of ego-temporal exponential random graph models with two-stage estimation including initialization through k-means clustering on temporal exponential random graph model parameters and EM as per Campbell (2018) <doi:10.7910/DVN/TWHEZ9>.
Author: Benjamin W. Campbell [aut, cre], Michael Salter-Townshend [ctb], Thomas Brendan Murphy [ctb]
Maintainer: Benjamin W. Campbell <campbell.1721@osu.edu>

Diff between egoTERGM versions 2.0.1 dated 2018-10-12 and 2.1.0 dated 2019-02-05

 DESCRIPTION                  |   10 +--
 MD5                          |   32 ++++++------
 R/ego_ergm.R                 |   13 ++--
 R/ego_tergm.R                |  114 +++++++++++++++++++++++--------------------
 R/interpret_ego_tergm.R      |    3 -
 R/sim_egonets.R              |    7 +-
 R/stability_validation.R     |   41 +++++++++------
 build/vignette.rds           |binary
 inst/doc/KnechtVignette.R    |    9 ++-
 inst/doc/KnechtVignette.Rmd  |   13 +++-
 inst/doc/KnechtVignette.html |   54 ++++++++++----------
 man/ego_ergm.Rd              |    5 +
 man/ego_tergm.Rd             |    6 +-
 man/plot_ego_tergm.Rd        |    4 -
 man/sim_egonets.Rd           |    7 +-
 vignettes/KnechtVignette.Rmd |   13 +++-
 vignettes/egoTERGM.bib       |    2 
 17 files changed, 186 insertions(+), 147 deletions(-)

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Package asciiSetupReader updated to version 2.0.1 with previous version 2.0.0 dated 2019-02-04

Title: Reads Fixed-Width ASCII Data Files (.txt or .dat) that Have Accompanying Setup Files (.sps or .sas)
Description: Lets you open a fixed-width ASCII file (.txt or .dat) that has an accompanying setup file (.sps or .sas). These file combinations are sometimes referred to as .txt+.sps, .txt+.sas, .dat+.sps, or .dat+.sas. This will only run in a txt-sps or txt-sas pair in which the setup file contains instructions to open that text file. It will NOT open other text files, .sav, .sas, or .por data files. Fixed-width ASCII files with setup files are common in older (pre-2000) government data.
Author: Jacob Kaplan [aut, cre]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

Diff between asciiSetupReader versions 2.0.0 dated 2019-02-04 and 2.0.1 dated 2019-02-05

 DESCRIPTION                                    |    6 +++---
 MD5                                            |   14 +++++++-------
 NEWS.md                                        |    4 ++++
 R/helper.R                                     |    3 +++
 R/read_ascii_setup.R                           |    2 +-
 inst/doc/Introduction_to_asciiSetupReader.html |    4 ++--
 inst/doc/making-an-sps-file.html               |    4 ++--
 inst/doc/parsing-an-sps-or-sas-file.html       |    4 ++--
 8 files changed, 24 insertions(+), 17 deletions(-)

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Package RiemBase updated to version 0.2.2 with previous version 0.2.1 dated 2018-11-29

Title: Functions and C++ Header Files for Computation on Manifolds
Description: We provide a number of algorithms to estimate fundamental statistics including Fréchet mean and geometric median for manifold-valued data. Also, C++ header files are contained that implement elementary operations on manifolds such as Sphere, Grassmann, and others. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> if you are interested in statistics on manifolds, and Absil et al (2007) <isbn:978-0-691-13298-3> on computational aspects of optimization on matrix manifolds.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyou@nd.edu>

Diff between RiemBase versions 0.2.1 dated 2018-11-29 and 0.2.2 dated 2019-02-05

 DESCRIPTION                                |    6 ++--
 MD5                                        |   33 ++++++++++++-----------
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 19 files changed, 175 insertions(+), 29 deletions(-)

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Package bigrquery updated to version 1.1.0 with previous version 1.0.0 dated 2018-04-24

Title: An Interface to Google's 'BigQuery' 'API'
Description: Easily talk to Google's 'BigQuery' database from R.
Author: Hadley Wickham [aut, cre], Kungliga Tekniska Högskolan [ctb] (strptime implementation), The NetBSD Foundation, Inc. [ctb] (gmtime implementation), RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between bigrquery versions 1.0.0 dated 2018-04-24 and 1.1.0 dated 2019-02-05

 DESCRIPTION                          |   12 ++--
 MD5                                  |   91 ++++++++++++++++-----------------
 NAMESPACE                            |    2 
 NEWS.md                              |   37 +++++++++++++
 R/bigrquery.R                        |    4 +
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 R/bq-download.R                      |   48 ++++++++++++++---
 R/bq-job.R                           |    7 +-
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 R/bq-refs.R                          |   25 +++++----
 R/bq-request.R                       |    5 +
 R/bq-test.R                          |    6 +-
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 R/dbi-result.R                       |    9 ++-
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 tests/testthat/test-bq-download.R    |   35 ++++++++++++
 tests/testthat/test-bq-parse.R       |   57 ++++++++++++--------
 tests/testthat/test-bq-refs.R        |   12 ++--
 tests/testthat/test-bq-table.R       |   96 +++++++++++++++++++++++++----------
 tests/testthat/test-dbi-connection.R |   11 ++++
 tests/testthat/test-dbi-result.R     |   13 +++-
 tests/testthat/test-gs-object.R      |    1 
 47 files changed, 480 insertions(+), 233 deletions(-)

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Package iml updated to version 0.9.0 with previous version 0.8.1 dated 2019-01-02

Title: Interpretable Machine Learning
Description: Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) <arXiv:1801.01489>, accumulated local effects plots described by Apley (2018) <arXiv:1612.08468>, partial dependence plots described by Friedman (2001) <http://www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime') described by Ribeiro et. al (2016) <arXiv:1602.04938>, the Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x>, feature interactions described by Friedman et. al <doi:10.1214/07-AOAS148> and tree surrogate models.
Author: Christoph Molnar [aut, cre]
Maintainer: Christoph Molnar <christoph.molnar@gmail.com>

Diff between iml versions 0.8.1 dated 2019-01-02 and 0.9.0 dated 2019-02-05

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More information about iml at CRAN
Permanent link

Package FuzzyNumbers updated to version 0.4-6 with previous version 0.4-5 dated 2019-01-16

Title: Tools to Deal with Fuzzy Numbers
Description: S4 classes and methods to deal with fuzzy numbers. They allow for computing any arithmetic operations (e.g., by using the Zadeh extension principle), performing approximation of arbitrary fuzzy numbers by trapezoidal and piecewise linear ones, preparing plots for publications, computing possibility and necessity values for comparisons, etc.
Author: Marek Gagolewski [aut, cre], Jan Caha [ctb]
Maintainer: Marek Gagolewski <gagolews@rexamine.com>

Diff between FuzzyNumbers versions 0.4-5 dated 2019-01-16 and 0.4-6 dated 2019-02-05

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More information about FuzzyNumbers at CRAN
Permanent link

Package enveomics.R updated to version 1.4.4 with previous version 1.4.3 dated 2019-01-06

Title: Various Utilities for Microbial Genomics and Metagenomics
Description: A collection of functions for microbial ecology and other applications of genomics and metagenomics. Companion package for the Enveomics Collection (Rodriguez-R, L.M. and Konstantinidis, K.T., 2016 <DOI:10.7287/peerj.preprints.1900v1>).
Author: Luis M. Rodriguez-R [aut, cre]
Maintainer: Luis M. Rodriguez-R <lmrodriguezr@gmail.com>

Diff between enveomics.R versions 1.4.3 dated 2019-01-06 and 1.4.4 dated 2019-02-05

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More information about enveomics.R at CRAN
Permanent link

Package unmarked updated to version 0.12-3 with previous version 0.12-2 dated 2017-05-15

Title: Models for Data from Unmarked Animals
Description: Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.
Author: Ian Fiske, Richard Chandler, David Miller, Andy Royle, Marc Kery, Jeff Hostetler, Rebecca Hutchinson, Adam Smith, Ken Kellner
Maintainer: Andy Royle <aroyle@usgs.gov>

Diff between unmarked versions 0.12-2 dated 2017-05-15 and 0.12-3 dated 2019-02-05

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Permanent link

Package qtlcharts updated to version 0.11-6 with previous version 0.9-6 dated 2017-06-01

Title: Interactive Graphics for QTL Experiments
Description: Web-based interactive charts (using D3.js) for the analysis of experimental crosses to identify genetic loci (quantitative trait loci, QTL) contributing to variation in quantitative traits.
Author: Karl W Broman [aut, cre], Michael Bostock [ctb, cph] (d3.js library in htmlwidgets/lib, https://d3js.org), Justin Palmer [ctb, cph] (d3.tip library in htmlwidgets/lib, https://github.com/caged/d3-tip), Cynthia Brewer [cph] (ColorBrewer library in htmlwidgets/lib, http://colorbrewer2.org), Mark Harrower [cph] (ColorBrewer library in htmlwidgets/lib, http://colorbrewer2.org), The Pennsylvania State University [cph] (ColorBrewer library in htmlwidgets/lib, http://colorbrewer2.org), jQuery Foundation [cph] (jQuery library in htmlwidgets/lib, https://jquery.com), jQuery contributors [ctb] (jQuery library in htmlwidgets/lib; see https://github.com/jquery/jquery/blob/master/AUTHORS.txt), jQuery UI contributors [ctb] (jQuery UI library in htmlwidgets/lib; see https://jqueryui.com/about)
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between qtlcharts versions 0.9-6 dated 2017-06-01 and 0.11-6 dated 2019-02-05

 qtlcharts-0.11-6/qtlcharts/DESCRIPTION                                                                             |   54 
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 qtlcharts-0.11-6/qtlcharts/NEWS.md                                                                                 |only
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 qtlcharts-0.11-6/qtlcharts/man/grav.Rd                                                                             |    4 
 qtlcharts-0.11-6/qtlcharts/man/idotplot.Rd                                                                         |    3 
 qtlcharts-0.11-6/qtlcharts/man/ipleiotropy.Rd                                                                      |    6 
 qtlcharts-0.11-6/qtlcharts/man/iplot.Rd                                                                            |    3 
 qtlcharts-0.11-6/qtlcharts/man/iplotCorr.Rd                                                                        |    5 
 qtlcharts-0.11-6/qtlcharts/man/iplotCurves.Rd                                                                      |    4 
 qtlcharts-0.11-6/qtlcharts/man/iplotMap.Rd                                                                         |    3 
 qtlcharts-0.11-6/qtlcharts/man/iplotScanone.Rd                                                                     |    6 
 qtlcharts-0.11-6/qtlcharts/man/iplotScantwo.Rd                                                                     |    4 
 qtlcharts-0.11-6/qtlcharts/man/itriplot.Rd                                                                         |    3 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/Rmdtest.Rmd                                                               |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iboxplot.Rmd                                                              |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/idotplot.Rmd                                                              |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iheatmap.Rmd                                                              |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/ipleiotropy.Rmd                                                           |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iplot.Rmd                                                                 |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iplotCorr.Rmd                                                             |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iplotCurves.Rmd                                                           |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iplotCurves_justcurves.Rmd                                                |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iplotMScanone.Rmd                                                         |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iplotMap.Rmd                                                              |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iplotPXG.Rmd                                                              |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iplotRF.Rmd                                                               |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iplotScanone.Rmd                                                          |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/iplotScantwo.Rmd                                                          |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/itriplot.Rmd                                                              |    2 
 qtlcharts-0.11-6/qtlcharts/tests/Rmdtest/scat2scat.Rmd                                                             |    2 
 qtlcharts-0.9-6/qtlcharts/inst/NEWS.md                                                                             |only
 qtlcharts-0.9-6/qtlcharts/inst/ReadMe.md                                                                           |only
 qtlcharts-0.9-6/qtlcharts/inst/ToDo.md                                                                             |only
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Package modelr updated to version 0.1.3 with previous version 0.1.2 dated 2018-05-10

Title: Modelling Functions that Work with the Pipe
Description: Functions for modelling that help you seamlessly integrate modelling into a pipeline of data manipulation and visualisation.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between modelr versions 0.1.2 dated 2018-05-10 and 0.1.3 dated 2019-02-05

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New package anapuce with initial version 2.3
Package: anapuce
Title: Tools for Microarray Data Analysis
Version: 2.3
Authors@R: person("Julie", "Aubert", email = "julie.aubert@agroparistech.fr", role = c("aut", "cre"))
Description: Functions for normalisation, differentially analysis of microarray data and local False Discovery Rate.
Depends: R (>= 3.4.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-02-05 14:36:42 UTC; aubert
Author: Julie Aubert [aut, cre]
Maintainer: Julie Aubert <julie.aubert@agroparistech.fr>
Repository: CRAN
Date/Publication: 2019-02-05 15:13:20 UTC

More information about anapuce at CRAN
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Package repeated updated to version 1.1.1 with previous version 1.1.0 dated 2016-11-30

Title: Non-Normal Repeated Measurements Models
Description: Various functions to fit models for non-normal repeated measurements.
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] (Jim created this package, Bruce is maintaining the CRAN version), T.R. Ten Have [ctb, cph] (Wrote Logit_bin_nest.f90 (in binnest.f).), Richard Cook [ctb, cph] (Wrote calcs.c, calcs.h, calcs1.c, calcs1.h, calcs2.c, calcs2.h, calcs3.c, calcs3.h, calcs4.c, calcs4.h; defs.h; gaps.c, gaps.h.), Iain MacDonald [ctb, cph] (Wrote chidden.f, cphidden.f, hidden.f.), Walter Zucchini [ctb, cph] (Wrote chidden.f, cphidden.f, hidden.f.), Burton Garbow [ctb, cph] (Wrote eigen.f.), Euginia Zharichenko [ctb, cph] (Wrote logitord.f.)
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

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Package proustr updated to version 0.4.0 with previous version 0.2.1 dated 2017-10-04

Title: Tools for Natural Language Processing in French
Description: Tools for Natural Language Processing in French and texts from Marcel Proust's collection "A La Recherche Du Temps Perdu". The novels contained in this collection are "Du cote de chez Swann ", "A l'ombre des jeunes filles en fleurs","Le Cote de Guermantes", "Sodome et Gomorrhe I et II", "La Prisonniere", "Albertine disparue", and "Le Temps retrouve".
Author: Colin Fay [aut, cre] (<https://orcid.org/0000-0001-7343-1846>)
Maintainer: Colin Fay <contact@colinfay.me>

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Package pcmabc updated to version 1.0.1 with previous version 1.0 dated 2018-12-18

Title: Approximate Bayesian Computations for Phylogenetic Comparative Methods
Description: Fits by ABC, the parameters of a stochastic process modelling the phylogeny and evolution of a suite of traits following the tree. The user may define an arbitrary Markov process for the trait and phylogeny. Importantly, trait-dependent speciation models are handled and fitted to data. See K. Bartoszek, P. Lio' (2018) <arXiv:1812.03715>.
Author: Krzysztof Bartoszek <krzbar@protonmail.ch>, Pietro Lio'
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

Diff between pcmabc versions 1.0 dated 2018-12-18 and 1.0.1 dated 2019-02-05

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Package irlba updated to version 2.3.3 with previous version 2.3.2 dated 2018-01-11

Title: Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices
Description: Fast and memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse and dense matrices.
Author: Jim Baglama [aut, cph], Lothar Reichel [aut, cph], B. W. Lewis [aut, cre, cph]
Maintainer: B. W. Lewis <blewis@illposed.net>

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Package dqshiny updated to version 0.0.3 with previous version 0.0.2 dated 2019-01-29

Title: Enhance Shiny Apps with Customizable Modules
Description: Provides highly customizable modules to enhance your shiny apps. Includes layout independent collapsible boxes and value boxes, a very fast autocomplete input, rhandsontable extensions for filtering and paging and much more.
Author: Richard Kunze, Mirjam Rehr
Maintainer: Richard Kunze <richard.kunze@daqana.com>

Diff between dqshiny versions 0.0.2 dated 2019-01-29 and 0.0.3 dated 2019-02-05

 DESCRIPTION                                                                          |    6 
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 NEWS.md                                                                              |    9 
 R/autocomplete_input.R                                                               |    1 
 R/dq_handsontable.R                                                                  |   59 -
 R/dqshiny.R                                                                          |   11 
 R/filter_row.R                                                                       |  161 +--
 R/filtering.R                                                                        |    4 
 R/js.R                                                                               |   12 
 R/sorting.R                                                                          |    2 
 README.md                                                                            |    3 
 man/add_js.Rd                                                                        |    8 
 man/dq_render_handsontable.Rd                                                        |   11 
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 tests/testthat/test-dq_handsontable.R                                                |   20 
 tests/testthat/test-filter_row.R                                                     |   55 -
 tests/testthat/test-js.R                                                             |    4 
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Package CMatching updated to version 2.3.0 with previous version 2.2.1 dated 2018-10-05

Title: Matching Algorithms for Causal Inference with Clustered Data
Description: Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.
Author: Massimo Cannas [aut, cre], Bruno Arpino [ctb], Elena Colicino [ctb]
Maintainer: Massimo Cannas <massimo.cannas@unica.it>

Diff between CMatching versions 2.2.1 dated 2018-10-05 and 2.3.0 dated 2019-02-05

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Package jsonld updated to version 2.1 with previous version 2.0 dated 2018-05-06

Title: JSON for Linking Data
Description: JSON-LD is a light-weight syntax for expressing linked data. It is primarily intended for web-based programming environments, interoperable web services and for storing linked data in JSON-based databases. This package provides bindings to the JavaScript library for converting, expanding and compacting JSON-LD documents.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), rOpenSci [fnd] (https://ropensci.org)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package MScombine updated to version 1.4 with previous version 1.3 dated 2019-01-24

Title: Combine Data from Positive and Negative Ionization Mode Finding Common Entities
Description: Find common entities detected in both positive and negative ionization mode, delete this entity in the less sensible mode and combine both matrices.
Author: Monica Calderon-Santiago
Maintainer: Monica Calderon-Santiago <b42casam@uco.es>

Diff between MScombine versions 1.3 dated 2019-01-24 and 1.4 dated 2019-02-05

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Package CorShrink (with last version 0.1-6) was removed from CRAN

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

2018-07-12 0.1-6
2018-04-10 0.1-5

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Package mixsqp (with last version 0.1-79) was removed from CRAN

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

2018-11-14 0.1-79

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Package ashr (with last version 2.2-7) was removed from CRAN

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

2018-03-01 2.2-7
2016-12-21 2.0.5

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Package optrdd (with last version 1.0.2) was removed from CRAN

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

2018-08-17 1.0.2
2018-05-31 1.0.1

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Package mcca updated to version 0.5.0 with previous version 0.4.0 dated 2018-09-14

Title: Multi-Category Classification Accuracy
Description: It contains six common multi-category classification accuracy evaluation measures: Hypervolume Under Manifold (HUM), described in Li and Fine (2008) <doi:10.1093/biostatistics/kxm050>. Correct Classification Percentage (CCP), Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), R-Squared Value (RSQ), described in Li, Jiang and Fine (2013) <doi:10.1093/biostatistics/kxs047>. Polytomous Discrimination Index (PDI), described in Van Calster et al. (2012) <doi:10.1007/s10654-012-9733-3>. Li et al. (2018) <doi:10.1177/0962280217692830>. We described all these above measures and our mcca package in Li, Gao and D'Agostino (2019) <doi:10.1002/sim.8103>.
Author: Ming Gao, Jialiang Li
Maintainer: Ming Gao <gaoming@umich.edu>

Diff between mcca versions 0.4.0 dated 2018-09-14 and 0.5.0 dated 2019-02-05

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Package carpenter updated to version 0.2.2 with previous version 0.2.1 dated 2017-05-22

Title: Build Common Tables of Summary Statistics for Reports
Description: Mainly used to build tables that are commonly presented for bio-medical/health research, such as basic characteristic tables or descriptive statistics.
Author: Luke Johnston [aut, cre] (<https://orcid.org/0000-0003-4169-2616>)
Maintainer: Luke Johnston <lwjohnst@gmail.com>

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Package openCR updated to version 1.3.4 with previous version 1.3.2 dated 2018-12-09

Title: Open Population Capture-Recapture
Description: Functions for non-spatial and spatial open-population capture-recapture analysis.
Author: Murray Efford [aut, cre] (<https://orcid.org/0000-0001-5231-5184>)
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

Diff between openCR versions 1.3.2 dated 2018-12-09 and 1.3.4 dated 2019-02-05

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Package ggquiver updated to version 0.2.0 with previous version 0.1.0 dated 2017-08-15

Title: Quiver Plots for 'ggplot2'
Description: An extension of 'ggplot2' to provide quiver plots to visualise vector fields. This functionality is implemented using a geom to produce a new graphical layer, which allows aesthetic options. This layer can be overlaid on a map to improve visualisation of mapped data.
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between ggquiver versions 0.1.0 dated 2017-08-15 and 0.2.0 dated 2019-02-05

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Package DJL updated to version 2.9 with previous version 2.8 dated 2018-12-09

Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the Econometrics & Technometrics. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, etc.
Author: Dong-Joon Lim, PhD
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>

Diff between DJL versions 2.8 dated 2018-12-09 and 2.9 dated 2019-02-05

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Package catchr updated to version 0.2.0 with previous version 0.1.0 dated 2018-12-30

Title: Taking the Pain Out of Catching and Handling Conditions
Description: R has a unique way of dealing with warnings, errors, messages, and other conditions, but it can often be troublesome to users coming from different programming backgrounds. The purpose of this package is to provide flexible and useful tools for handling R conditions with less hassle. In order to lower the barrier of entry, keep code clean and readable, and reduce the amount of typing required, `catchr` uses a very simple domain-specific language that simplifies things on the front-end. This package aims to maintain a continuous learning curve that lets new users jump straight in to condition-handling, while simultaneously offering depth and complexity for more advanced users.
Author: Zachary Burchill [aut, cre, cph]
Maintainer: Zachary Burchill <zach.burchill.code@gmail.com>

Diff between catchr versions 0.1.0 dated 2018-12-30 and 0.2.0 dated 2019-02-05

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Package AWR.Athena updated to version 2.0.6-1 with previous version 1.1.0-1 dated 2017-11-19

Title: 'AWS' Athena 'DBI' Wrapper
Description: 'RJDBC' based 'DBI' driver to Amazon Athena, which is an interactive query service to analyze data in Amazon 'S3' using standard 'SQL'.
Author: Neal Fultz <nfultz@gmail.com>, Gergely Daróczi <gergely@system1.com>
Maintainer: Neal Fultz <nfultz@gmail.com>

Diff between AWR.Athena versions 1.1.0-1 dated 2017-11-19 and 2.0.6-1 dated 2019-02-05

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