Thu, 17 Jan 2019

New package stats19 with initial version 0.1.1
Package: stats19
Title: Work with Open Road Traffic Casualty Data from Great Britain
Version: 0.1.1
Authors@R: c( person("Robin", "Lovelace", email = "rob00x@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5679-6536")), person("Malcolm", "Morgan", email = "m.morgan1@leeds.ac.uk", role = c("aut")), person("Layik", "Hama", email = "layik.hama@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0003-1912-4890")), person("Mark", "Padgham", role=c("aut"), comment = c(ORCID = "0000-0003-2172-5265")), person("David", "Ranzolin", role=c("rev")), person("Adam", "Sparks", role = c("rev", "ctb"), comment = c(ORCID = "0000-0002-0061-8359")) )
Description: Tools to help process and analyse the UK road collision data collected using the 'STATS19' form. The data are provided as 'CSV' files with detailed road safety data about the circumstances of personal injury road accidents in Great Britain from 1979, the types (including make and model) of vehicles involved and the consequential casualties. The statistics relate only to personal injury accidents on public roads that are reported to the police, and subsequently recorded, using the 'STATS19' accident reporting form. See the Department for Transportation website <https://data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-safety-data> for more information on these data.
Depends: R (>= 3.5.0)
License: GPL-3
URL: https://github.com/ITSLeeds/stats19
BugReports: https://github.com/ITSLeeds/stats19/issues
Encoding: UTF-8
LazyData: true
Imports: sf, readr
Suggests: curl (>= 3.2), dplyr, ggplot2, knitr, lubridate, rmarkdown, stringr, testthat, tidyr, pkgdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Language: en-US
X-schema.org-keywords: stats19, road-safety, transport, car-crashes, ropensci, data
NeedsCompilation: no
Packaged: 2019-01-11 14:46:44 UTC; robin
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Malcolm Morgan [aut], Layik Hama [aut] (<https://orcid.org/0000-0003-1912-4890>), Mark Padgham [aut] (<https://orcid.org/0000-0003-2172-5265>), David Ranzolin [rev], Adam Sparks [rev, ctb] (<https://orcid.org/0000-0002-0061-8359>)
Maintainer: Robin Lovelace <rob00x@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-17 23:10:17 UTC

More information about stats19 at CRAN
Permanent link

New package lcpm with initial version 0.1.0
Package: lcpm
Type: Package
Title: Ordinal Outcomes: Generalized Linear Models with the Log Link
Version: 0.1.0
Author: Gurbakhshash Singh and Gordon Hilton Fick
Maintainer: Gurbakhshash Singh <gsingh@ccsu.edu>
Description: An implementation of the Log Cumulative Probability Model (LCPM) and Proportional Probability Model (PPM) for which the Maximum Likelihood Estimates are determined using constrained optimization. This implementation accounts for the implicit constraints on the parameter space. Other features such as standard errors, z tests and p-values use standard methods adapted from the results based on constrained optimization.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: plyr (>= 1.8.4), numDeriv (>= 2016.8-1), Matrix (>= 1.2-11), stats (>= 3.4.2)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-11 04:50:21 UTC; vzg
Repository: CRAN
Date/Publication: 2019-01-17 23:00:39 UTC

More information about lcpm at CRAN
Permanent link

New package foto with initial version 1.0.0
Package: foto
Title: Fourier Transform Textural Ordination
Version: 1.0.0
Authors@R: c( person( family = "Hufkens", given = "Koen", email = "koen.hufkens@gmail.com", role = c("aut", "cre")), person( family = "Solorzano", given = "Jonathan V.", role = c("aut")))
Description: The Fourier Transform Textural Ordination method uses a principal component analysis on radially averaged two dimensional Fourier spectra to characterize image texture.
URL: https://github.com/khufkens/foto
BugReports: https://github.com/khufkens/foto/issues
Depends: R (>= 3.4)
Imports: raster, stats, grDevices
License: AGPL-3
LazyData: true
ByteCompile: true
RoxygenNote: 6.1.1
Suggests: rgdal, knitr, rmarkdown, covr, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-11 13:54:23 UTC; khufkens
Author: Koen Hufkens [aut, cre], Jonathan V. Solorzano [aut]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-17 23:01:04 UTC

More information about foto at CRAN
Permanent link

New package busdater with initial version 0.1.0
Package: busdater
Type: Package
Title: Standard Date Calculations for Business
Version: 0.1.0
Authors@R: person("Mick", "Mioduszewski", email = "mick@mioduszewski.net", role = c("aut", "cre"))
Description: Get a current financial year, start of current month, End of current month, start of financial year and end of it. Allow for offset from the date.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: lubridate
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Author: Mick Mioduszewski [aut, cre]
Maintainer: Mick Mioduszewski <mick@mioduszewski.net>
NeedsCompilation: no
Packaged: 2019-01-11 10:08:00 UTC; mickmioduszewski
Repository: CRAN
Date/Publication: 2019-01-17 23:13:12 UTC

More information about busdater at CRAN
Permanent link

Package textrank updated to version 0.3.0 with previous version 0.2.0 dated 2017-12-18

Title: Summarize Text by Ranking Sentences and Finding Keywords
Description: The 'textrank' algorithm is an extension of the 'Pagerank' algorithm for text. The algorithm allows to summarize text by calculating how sentences are related to one another. This is done by looking at overlapping terminology used in sentences in order to set up links between sentences. The resulting sentence network is next plugged into the 'Pagerank' algorithm which identifies the most important sentences in your text and ranks them. In a similar way 'textrank' can also be used to extract keywords. A word network is constructed by looking if words are following one another. On top of that network the 'Pagerank' algorithm is applied to extract relevant words after which relevant words which are following one another are combined to get keywords. More information can be found in the paper from Mihalcea, Rada & Tarau, Paul (2004) <http://www.aclweb.org/anthology/W04-3252>.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between textrank versions 0.2.0 dated 2017-12-18 and 0.3.0 dated 2019-01-17

 DESCRIPTION                    |   11 ++--
 MD5                            |   22 ++++-----
 NEWS.md                        |    5 ++
 R/textrank.R                   |   45 +++++++++++++-----
 build/vignette.rds             |binary
 inst/doc/textrank.R            |    8 ++-
 inst/doc/textrank.Rmd          |   10 ++--
 inst/doc/textrank.html         |  100 ++++++++++++++++++++++++++++++++++-------
 man/textrank_candidates_all.Rd |    4 +
 man/textrank_candidates_lsh.Rd |   10 +++-
 man/textrank_sentences.Rd      |   12 ++--
 vignettes/textrank.Rmd         |   10 ++--
 12 files changed, 174 insertions(+), 63 deletions(-)

More information about textrank at CRAN
Permanent link

Package segMGarch updated to version 1.2 with previous version 1.1 dated 2019-01-05

Title: Multiple Change-Point Detection for High-Dimensional GARCH Processes
Description: Implements a segmentation algorithm for multiple change-point detection in high-dimensional GARCH processes. It simultaneously segments GARCH processes by identifying 'common' change-points, each of which can be shared by a subset or all of the component time series as a change-point in their within-series and/or cross-sectional correlation structure.
Author: Haeran Cho and Karolos Korkas
Maintainer: Karolos Korkas <kkorkas@yahoo.co.uk>

Diff between segMGarch versions 1.1 dated 2019-01-05 and 1.2 dated 2019-01-17

 DESCRIPTION              |    7 ++++---
 MD5                      |   22 ++++++++++++----------
 NAMESPACE                |    1 +
 R/DQtest.R               |only
 R/auxFunctions.R         |   11 +++++++++--
 R/garch.seg.R            |   12 ++++++------
 R/pc_cccsim.R            |    2 +-
 R/simMGarch.R            |   24 +++++++++++++-----------
 man/DQtest-methods.Rd    |only
 man/garch.seg-class.Rd   |   12 ++++++------
 man/pc_cccsim-methods.Rd |    2 +-
 man/segMGarch-package.Rd |    2 +-
 man/simMGarch-class.Rd   |    2 ++
 13 files changed, 56 insertions(+), 41 deletions(-)

More information about segMGarch at CRAN
Permanent link

New package riskclustr with initial version 0.1.0
Package: riskclustr
Type: Package
Title: Functions to Study Etiologic Heterogeneity
Version: 0.1.0
Authors@R: person(given = "Emily C.", family = "Zabor", email = "zabore@mskcc.org", role = c("aut", "cre"))
Description: A collection of functions related to the study of etiologic heterogeneity both across disease subtypes and across individual tumor markers. The included functions allow one to quantify the extent of etiologic heterogeneity in the context of a case-control study, and provide p-values to test for etiologic heterogeneity across individual risk factors.
Depends: R (>= 3.5)
License: GPL-2
URL: http://www.emilyzabor.com/riskclustr/, https://github.com/zabore/riskclustr
BugReports: https://github.com/zabore/riskclustr/issues
Encoding: UTF-8
Imports: aod, mlogit, gtools, knitr, usethis
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Suggests: testthat, covr, rmarkdown, dplyr
NeedsCompilation: no
Packaged: 2019-01-11 14:27:23 UTC; zabore
Author: Emily C. Zabor [aut, cre]
Maintainer: Emily C. Zabor <zabore@mskcc.org>
Repository: CRAN
Date/Publication: 2019-01-17 23:00:03 UTC

More information about riskclustr at CRAN
Permanent link

New package pogit with initial version 1.2.0
Package: pogit
Type: Package
Title: Bayesian Variable Selection for a Poisson-Logistic Model
Version: 1.2.0
Date: 2019-01-17
Authors@R: c(person("Michaela", "Dvorzak", role = c("aut","cre"), email = "m.dvorzak@gmx.at"), person("Helga", "Wagner", role = "aut"))
Author: Michaela Dvorzak [aut, cre], Helga Wagner [aut]
Maintainer: Michaela Dvorzak <m.dvorzak@gmx.at>
Description: Bayesian variable selection for regression models of under-reported count data as well as for (overdispersed) Poisson, negative binomal and binomial logit regression models using spike and slab priors.
License: GPL-2
Depends: R(>= 2.10.0)
Imports: ggplot2, logistf, plyr, stats, utils, grDevices
LazyData: true
Suggests: COUNT
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-17 18:28:07 UTC; michi
Repository: CRAN
Date/Publication: 2019-01-17 22:20:04 UTC

More information about pogit at CRAN
Permanent link

New package palettesForR with initial version 0.1.1
Package: palettesForR
Type: Package
Title: GPL Palettes Copied from Gimp and Inkscape
Version: 0.1.1
Authors@R: c( person("Francois", "Rebaudo", role = c("aut", "cre"), email = "francois.rebaudo@ird.fr"), person("", "Gimp", role = "cph", comment = "copyright holder for palettes imported from Gimp"), person("", "Inkscape", role = "cph", comment = "copyright holder for palettes imported from Inkscape") )
Maintainer: Francois Rebaudo <francois.rebaudo@ird.fr>
URL: https://github.com/frareb/palettesForR
Description: A set of palettes imported from Gimp distributed under GPL3 (<https://www.gimp.org/about/COPYING>), and Inkscape distributed under GPL2 (<https://inkscape.org/about/license/>).
License: GPL-2
LazyData: TRUE
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2019-01-10 12:26:38 UTC; nous
Author: Francois Rebaudo [aut, cre], Gimp [cph] (copyright holder for palettes imported from Gimp), Inkscape [cph] (copyright holder for palettes imported from Inkscape)
Repository: CRAN
Date/Publication: 2019-01-17 22:50:40 UTC

More information about palettesForR at CRAN
Permanent link

Package openssl updated to version 1.2.1 with previous version 1.2 dated 2019-01-16

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

Diff between openssl versions 1.2 dated 2019-01-16 and 1.2.1 dated 2019-01-17

 DESCRIPTION                  |    6 +++---
 MD5                          |   12 ++++++------
 inst/doc/bignum.html         |   28 ++++++++++++++--------------
 inst/doc/crypto_hashing.html |    4 ++--
 inst/doc/keys.html           |   42 +++++++++++++++++++++---------------------
 inst/doc/secure_rng.html     |   18 +++++++++---------
 src/signing.c                |    6 +++---
 7 files changed, 58 insertions(+), 58 deletions(-)

More information about openssl at CRAN
Permanent link

Package NormalBetaPrime updated to version 2.1 with previous version 1.1 dated 2018-08-15

Title: Normal Beta Prime Prior
Description: Implements Bayesian linear regression, variable selection, normal means estimation, and multiple hypothesis testing using the normal-beta prime prior, as introduced by Bai and Ghosh (2019) <arXiv:1807.02421> and Bai and Ghosh (2019) <arXiv:1807.06539>. Normal means estimation and multiple testing for the Dirichlet-Laplace <doi:10.1080/01621459.2014.960967> and horseshoe+ priors <doi:10.1214/16-BA1028> are also available in this package.
Author: Ray Bai, Malay Ghosh
Maintainer: Ray Bai <Ray.Bai@pennmedicine.upenn.edu>

Diff between NormalBetaPrime versions 1.1 dated 2018-08-15 and 2.1 dated 2019-01-17

 NormalBetaPrime-1.1/NormalBetaPrime/build                          |only
 NormalBetaPrime-1.1/NormalBetaPrime/man/NormalBetaPrime-package.Rd |only
 NormalBetaPrime-2.1/NormalBetaPrime/DESCRIPTION                    |   13 
 NormalBetaPrime-2.1/NormalBetaPrime/MD5                            |   28 
 NormalBetaPrime-2.1/NormalBetaPrime/NAMESPACE                      |    7 
 NormalBetaPrime-2.1/NormalBetaPrime/R/Helper_functions.R           |  154 ++
 NormalBetaPrime-2.1/NormalBetaPrime/R/dl.normalmeans.R             |  411 ++++---
 NormalBetaPrime-2.1/NormalBetaPrime/R/hsplus.normalmeans.R         |  114 +-
 NormalBetaPrime-2.1/NormalBetaPrime/R/nbp.R                        |  531 +++++-----
 NormalBetaPrime-2.1/NormalBetaPrime/R/nbp.VB.R                     |only
 NormalBetaPrime-2.1/NormalBetaPrime/R/nbp.normalmeans.R            |  421 ++++---
 NormalBetaPrime-2.1/NormalBetaPrime/man/dl.normalmeans.Rd          |   90 -
 NormalBetaPrime-2.1/NormalBetaPrime/man/hsplus.normalmeans.Rd      |   83 -
 NormalBetaPrime-2.1/NormalBetaPrime/man/nbp.Rd                     |   39 
 NormalBetaPrime-2.1/NormalBetaPrime/man/nbp.VB.Rd                  |only
 NormalBetaPrime-2.1/NormalBetaPrime/man/nbp.normalmeans.Rd         |   89 -
 NormalBetaPrime-2.1/NormalBetaPrime/man/singh2002.Rd               |    2 
 17 files changed, 1122 insertions(+), 860 deletions(-)

More information about NormalBetaPrime at CRAN
Permanent link

Package epimdr updated to version 0.6-2 with previous version 0.6-1 dated 2018-10-26

Title: Functions and Data for "Epidemics: Models and Data in R"
Description: Functions, data sets and Shiny apps for "Epidemics: Models and Data in R" by Ottar N. Bjornstad (ISBN 978-3-319-97487-3) <https://www.springer.com/gp/book/9783319974866>. The package contains functions to study the S(E)IR model, spatial and age-structured SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the coursera Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.
Author: Ottar N. Bjornstad [aut, cre]
Maintainer: Ottar N. Bjornstad <onb1@psu.edu>

Diff between epimdr versions 0.6-1 dated 2018-10-26 and 0.6-2 dated 2019-01-17

 DESCRIPTION      |   10 +++++-----
 MD5              |    6 +++---
 R/rfuncs.R       |    2 +-
 man/retrospec.Rd |    4 ++--
 4 files changed, 11 insertions(+), 11 deletions(-)

More information about epimdr at CRAN
Permanent link

Package rsparkling updated to version 0.2.16 with previous version 0.2.14 dated 2019-01-02

Title: R Interface for H2O Sparkling Water
Description: An extension package for 'sparklyr' that provides an R interface to H2O Sparkling Water machine learning library (see <https://github.com/h2oai/sparkling-water> for more information).
Author: Jakub Hava [aut, cre], Navdeep Gill [aut], Erin LeDell [aut], Michal Malohlava [aut], JJ Allaire [aut], H2O.ai [cph], RStudio [cph]
Maintainer: Jakub Hava <jakub@h2o.ai>

Diff between rsparkling versions 0.2.14 dated 2019-01-02 and 0.2.16 dated 2019-01-17

 DESCRIPTION   |    6 +++---
 MD5           |    4 ++--
 R/sysdata.rda |binary
 3 files changed, 5 insertions(+), 5 deletions(-)

More information about rsparkling at CRAN
Permanent link

Package carbonate updated to version 0.1.1 with previous version 0.1.0 dated 2018-10-14

Title: Interact with 'carbon.js'
Description: Create beautiful images of source code using 'carbon.js'<https://carbon.now.sh/about>.
Author: Jonathan Sidi [aut, cre] (<https://orcid.org/0000-0002-4222-1819>)
Maintainer: Jonathan Sidi <yonicd@gmail.com>

Diff between carbonate versions 0.1.0 dated 2018-10-14 and 0.1.1 dated 2019-01-17

 DESCRIPTION                               |    8 +-
 LICENSE                                   |    2 
 MD5                                       |   42 +++++++--------
 R/carbon.R                                |    4 -
 R/carbonate.R                             |   25 +++------
 R/helpers.R                               |   25 +++++++++
 README.md                                 |   24 ++++----
 build/vignette.rds                        |binary
 inst/doc/tests_and_coverage.Rmd           |   66 ++++++++++++------------
 inst/doc/tests_and_coverage.html          |   82 +++++++++++++++++++++---------
 man/figures/README-unnamed-chunk-16-1.png |binary
 man/figures/README-unnamed-chunk-18-1.png |binary
 man/figures/README-unnamed-chunk-2-1.png  |binary
 man/figures/README-unnamed-chunk-20-1.png |binary
 man/figures/README-unnamed-chunk-23-1.png |binary
 man/figures/README-unnamed-chunk-28-1.png |binary
 man/figures/README-unnamed-chunk-28-2.png |binary
 man/figures/README-unnamed-chunk-29-1.gif |binary
 man/figures/README-unnamed-chunk-3-1.png  |binary
 man/figures/myfile.png                    |binary
 tests/README.md                           |   66 ++++++++++++------------
 vignettes/tests_and_coverage.Rmd          |   66 ++++++++++++------------
 22 files changed, 239 insertions(+), 171 deletions(-)

More information about carbonate at CRAN
Permanent link

New package Rd with initial version 0.1.0
Package: Rd
Type: Package
Title: Rd Manipulation and Creation
Version: 0.1.0
Authors@R: c( person("Andrew", "Redd", , "andrew.redd@hsc.utah.edu", c("aut", "cre")), person("R Documentation Task Force", role=c("aut") , comment = c(url = "https://rdoctaskforce.github.io/") ) )
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>
License: GPL-2
Description: Creation and manipulation of R documentation (Rd) as R objects. Also contains functions for checking consistency of Rd and S4 generics and methods for converting objects to Rd formatted output.
Imports: assertthat, methods, pkgcond, postlogic, purrr, rlang, tools, utils
Suggests: covr, htmltools, rmarkdown (>= 1.8), stringi, testthat
Encoding: UTF-8
RoxygenNote: 6.1.1
Language: en-US
Collate: 'setup-set_old_classes.R' 'util-aliases.R' 'Class-Rd.R' 'Fun-toRd.R' 'S3_extensions.R' 'canon.R' 'construction.R' 'convenience.R' 'globals.R' 'indent.R' 'keyword.db.R' 'testextra.R' 'util-Rd.R'
URL: https://github.com/RDocTaskForce/Rd
BugReports: https://github.com/RDocTaskForce/Rd/issues
NeedsCompilation: no
Packaged: 2019-01-10 17:16:18 UTC; u0092104
Author: Andrew Redd [aut, cre], R Documentation Task Force [aut] (https://rdoctaskforce.github.io/)
Repository: CRAN
Date/Publication: 2019-01-17 17:20:03 UTC

More information about Rd at CRAN
Permanent link

New package quRan with initial version 0.1.0
Package: quRan
Type: Package
Title: Complete Text of the Qur'an
Version: 0.1.0
Authors@R: person("Andrew", "Heiss", email = "andrew@andrewheiss.com", role = c("aut", "cre"))
Description: Full text, in data frames containing one row per verse, of the Qur'an in Arabic (with and without vowels) and in English (the Yusuf Ali and Saheeh International translations), formatted to be convenient for text analysis.
URL: https://github.com/andrewheiss/quRan
BugReports: https://github.com/andrewheiss/quRan/issues
Depends: R (>= 3.0.0)
Suggests: dplyr, testthat
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-10 21:12:00 UTC; andrew
Author: Andrew Heiss [aut, cre]
Maintainer: Andrew Heiss <andrew@andrewheiss.com>
Repository: CRAN
Date/Publication: 2019-01-17 17:30:03 UTC

More information about quRan at CRAN
Permanent link

Package iotables updated to version 0.4.1 with previous version 0.3.5 dated 2018-11-29

Title: Importing and Manipulating Symmetric Input-Output Tables
Description: Pre-processing and basic analytical tasks related to working with Eurostat's symmetric input-output tables and provide basic input-output economics calculations. The package is a part of rOpenGov <http://ropengov.github.io/> to open source open government initiatives.
Author: Daniel Antal [aut, cre] (<https://orcid.org/0000-0001-7513-6760>)
Maintainer: Daniel Antal <daniel.antal@ceemid.eu>

Diff between iotables versions 0.3.5 dated 2018-11-29 and 0.4.1 dated 2019-01-17

 iotables-0.3.5/iotables/R/gva_get.R                                     |only
 iotables-0.3.5/iotables/R/use_table_get.R                               |only
 iotables-0.3.5/iotables/man/gva_get.Rd                                  |only
 iotables-0.3.5/iotables/man/use_table_get.Rd                            |only
 iotables-0.3.5/iotables/tests/testthat/test_direct_effects.R            |only
 iotables-0.3.5/iotables/tests/testthat/test_use_table_get.R             |only
 iotables-0.4.1/iotables/DESCRIPTION                                     |   19 
 iotables-0.4.1/iotables/MD5                                             |  203 -
 iotables-0.4.1/iotables/NAMESPACE                                       |   22 
 iotables-0.4.1/iotables/NEWS.md                                         |   49 
 iotables-0.4.1/iotables/R/backward_linkages.R                           |   13 
 iotables-0.4.1/iotables/R/check_digits.R                                |only
 iotables-0.4.1/iotables/R/coefficient_matrix_create.R                   |only
 iotables-0.4.1/iotables/R/conforming_vector_create.R                    |   16 
 iotables-0.4.1/iotables/R/create_knitr_table.R                          |only
 iotables-0.4.1/iotables/R/data-metadata.R                               |    4 
 iotables-0.4.1/iotables/R/data-metadata_uk_2010.R                       |only
 iotables-0.4.1/iotables/R/data-uk_2010_data.R                           |only
 iotables-0.4.1/iotables/R/data-uk_test_results.R                        |only
 iotables-0.4.1/iotables/R/data_germany.R                                |   14 
 iotables-0.4.1/iotables/R/data_netherlands_2006.R                       |only
 iotables-0.4.1/iotables/R/direct_effects_create.R                       |  173 -
 iotables-0.4.1/iotables/R/employment_get.R                              |    8 
 iotables-0.4.1/iotables/R/empty_remove.R                                |only
 iotables-0.4.1/iotables/R/equation_solve.R                              |   28 
 iotables-0.4.1/iotables/R/forward_linkages.R                            |   31 
 iotables-0.4.1/iotables/R/household_column_find.R                       |only
 iotables-0.4.1/iotables/R/household_column_get.R                        |only
 iotables-0.4.1/iotables/R/indirect_effects_create.R                     |only
 iotables-0.4.1/iotables/R/input_coefficient_matrix_create.R             |  180 -
 iotables-0.4.1/iotables/R/input_flow_get.R                              |only
 iotables-0.4.1/iotables/R/input_indicator_create.R                      |  122 
 iotables-0.4.1/iotables/R/input_multipliers_create.R                    |  124 
 iotables-0.4.1/iotables/R/iotable_get.R                                 |  258 +
 iotables-0.4.1/iotables/R/iotable_year_get.R                            |    4 
 iotables-0.4.1/iotables/R/iotables_download.R                           |   10 
 iotables-0.4.1/iotables/R/is_html_output.R                              |only
 iotables-0.4.1/iotables/R/is_latex_output.R                             |only
 iotables-0.4.1/iotables/R/leontieff_inverse_create.R                    |   37 
 iotables-0.4.1/iotables/R/leontieff_matrix_create.R                     |   31 
 iotables-0.4.1/iotables/R/matrix_round.R                                |only
 iotables-0.4.1/iotables/R/multiplier_create.R                           |   56 
 iotables-0.4.1/iotables/R/non_zero_columns_find.R                       |only
 iotables-0.4.1/iotables/R/output_coefficient_matrix_create.R            |   92 
 iotables-0.4.1/iotables/R/output_get.R                                  |  167 -
 iotables-0.4.1/iotables/R/output_multiplier_create.R                    |   16 
 iotables-0.4.1/iotables/R/primary_input_get.R                           |  147 
 iotables-0.4.1/iotables/R/quadrant_separator_find.R                     |only
 iotables-0.4.1/iotables/R/round_table.R                                 |only
 iotables-0.4.1/iotables/R/supplementary_add.R                           |only
 iotables-0.4.1/iotables/R/total_tax_add.R                               |only
 iotables-0.4.1/iotables/R/uk_2010_get.R                                 |only
 iotables-0.4.1/iotables/R/uk_2010_results_get.R                         |only
 iotables-0.4.1/iotables/README.md                                       |   23 
 iotables-0.4.1/iotables/build/vignette.rds                              |binary
 iotables-0.4.1/iotables/data/germany_1990.rda                           |binary
 iotables-0.4.1/iotables/data/metadata.rda                               |binary
 iotables-0.4.1/iotables/data/metadata_uk_2010.rda                       |only
 iotables-0.4.1/iotables/data/netherlands_2006.rda                       |only
 iotables-0.4.1/iotables/data/uk_2010_data.rda                           |only
 iotables-0.4.1/iotables/data/uk_test_results.rda                        |only
 iotables-0.4.1/iotables/inst/_pkgdown.yml                               |only
 iotables-0.4.1/iotables/inst/doc/germany_1990.R                         |  182 -
 iotables-0.4.1/iotables/inst/doc/germany_1990.Rmd                       |  224 -
 iotables-0.4.1/iotables/inst/doc/germany_1990.html                      |  742 +++-
 iotables-0.4.1/iotables/inst/doc/united_kingdom_2010.R                  |only
 iotables-0.4.1/iotables/inst/doc/united_kingdom_2010.Rmd                |only
 iotables-0.4.1/iotables/inst/doc/united_kingdom_2010.html               |only
 iotables-0.4.1/iotables/inst/doc/working_with_eurostat.R                |  163 -
 iotables-0.4.1/iotables/inst/doc/working_with_eurostat.Rmd              |  168 -
 iotables-0.4.1/iotables/inst/doc/working_with_eurostat.html             | 1613 ++++++----
 iotables-0.4.1/iotables/man/backward_linkages.Rd                        |   13 
 iotables-0.4.1/iotables/man/check_digits.Rd                             |only
 iotables-0.4.1/iotables/man/coefficient_matrix_create.Rd                |only
 iotables-0.4.1/iotables/man/conforming_vector_create.Rd                 |   12 
 iotables-0.4.1/iotables/man/create_knitr_table.Rd                       |only
 iotables-0.4.1/iotables/man/direct_effects_create.Rd                    |   28 
 iotables-0.4.1/iotables/man/employment_get.Rd                           |    3 
 iotables-0.4.1/iotables/man/empty_remove.Rd                             |only
 iotables-0.4.1/iotables/man/figures                                     |only
 iotables-0.4.1/iotables/man/forward_linkages.Rd                         |   21 
 iotables-0.4.1/iotables/man/germany_1990.Rd                             |   21 
 iotables-0.4.1/iotables/man/household_column_find.Rd                    |only
 iotables-0.4.1/iotables/man/household_column_get.Rd                     |only
 iotables-0.4.1/iotables/man/indirect_effects_create.Rd                  |only
 iotables-0.4.1/iotables/man/input_coefficient_matrix_create.Rd          |   47 
 iotables-0.4.1/iotables/man/input_flow_get.Rd                           |only
 iotables-0.4.1/iotables/man/input_indicator_create.Rd                   |   37 
 iotables-0.4.1/iotables/man/input_multipliers_create.Rd                 |   43 
 iotables-0.4.1/iotables/man/iotable_year_get.Rd                         |    4 
 iotables-0.4.1/iotables/man/iotables_download.Rd                        |    1 
 iotables-0.4.1/iotables/man/is_html_output.Rd                           |only
 iotables-0.4.1/iotables/man/is_latex_output.Rd                          |only
 iotables-0.4.1/iotables/man/leontieff_inverse_create.Rd                 |   26 
 iotables-0.4.1/iotables/man/leontieff_matrix_create.Rd                  |   15 
 iotables-0.4.1/iotables/man/matrix_round.Rd                             |only
 iotables-0.4.1/iotables/man/metadata.Rd                                 |    4 
 iotables-0.4.1/iotables/man/metadata_uk_2010.Rd                         |only
 iotables-0.4.1/iotables/man/multiplier_create.Rd                        |   50 
 iotables-0.4.1/iotables/man/netherlands_2006.Rd                         |only
 iotables-0.4.1/iotables/man/non_zero_columns_find.Rd                    |only
 iotables-0.4.1/iotables/man/output_coefficient_matrix_create.Rd         |   28 
 iotables-0.4.1/iotables/man/output_get.Rd                               |   49 
 iotables-0.4.1/iotables/man/output_multiplier_create.Rd                 |   11 
 iotables-0.4.1/iotables/man/primary_input_get.Rd                        |   60 
 iotables-0.4.1/iotables/man/quadrant_separator_find.Rd                  |only
 iotables-0.4.1/iotables/man/round_table.Rd                              |only
 iotables-0.4.1/iotables/man/supplementary_add.Rd                        |only
 iotables-0.4.1/iotables/man/total_tax_add.Rd                            |only
 iotables-0.4.1/iotables/man/uk_2010_data.Rd                             |only
 iotables-0.4.1/iotables/man/uk_2010_get.Rd                              |only
 iotables-0.4.1/iotables/man/uk_2010_results_get.Rd                      |only
 iotables-0.4.1/iotables/man/uk_test_results.Rd                          |only
 iotables-0.4.1/iotables/tests/spelling.R                                |only
 iotables-0.4.1/iotables/tests/testthat/test_backward_linkages.R         |   14 
 iotables-0.4.1/iotables/tests/testthat/test_coefficient_matrix_create.R |only
 iotables-0.4.1/iotables/tests/testthat/test_conforming_vector_create.R  |only
 iotables-0.4.1/iotables/tests/testthat/test_direct_effects_create.R     |only
 iotables-0.4.1/iotables/tests/testthat/test_forward_linkages.R          |   13 
 iotables-0.4.1/iotables/tests/testthat/test_germany_1990.R              |    4 
 iotables-0.4.1/iotables/tests/testthat/test_household_column_get.R      |only
 iotables-0.4.1/iotables/tests/testthat/test_input_coefficient_matrix.R  |   43 
 iotables-0.4.1/iotables/tests/testthat/test_input_flow_get.R            |only
 iotables-0.4.1/iotables/tests/testthat/test_input_indicator_create.R    |   31 
 iotables-0.4.1/iotables/tests/testthat/test_input_multipliers_create.R  |   45 
 iotables-0.4.1/iotables/tests/testthat/test_iotable_get.R               |   17 
 iotables-0.4.1/iotables/tests/testthat/test_leontieff_matrix_create.R   |   46 
 iotables-0.4.1/iotables/tests/testthat/test_multiplier_create.R         |  104 
 iotables-0.4.1/iotables/tests/testthat/test_output_coefficient_matrix.R |    9 
 iotables-0.4.1/iotables/tests/testthat/test_output_get.R                |   48 
 iotables-0.4.1/iotables/tests/testthat/test_output_multipliers.R        |   13 
 iotables-0.4.1/iotables/tests/testthat/test_primary_input_get.R         |   33 
 iotables-0.4.1/iotables/tests/testthat/test_supplementary_add.R         |only
 iotables-0.4.1/iotables/vignettes/germany_1990.Rmd                      |  224 -
 iotables-0.4.1/iotables/vignettes/united_kingdom_2010.Rmd               |only
 iotables-0.4.1/iotables/vignettes/working_with_eurostat.Rmd             |  168 -
 136 files changed, 3196 insertions(+), 3028 deletions(-)

More information about iotables at CRAN
Permanent link

New package inventorize with initial version 1.0.0
Package: inventorize
Title: Inventory Analytics and Cost Calculations
Version: 1.0.0
Authors@R: person("Haytham", "Omar", email = "h.omar5942@gmail.com", role = c("aut", "cre"))
Description: Facilitate inventory analysis calculations. The package heavily relies on my studies, the package includes calculations of inventory metrics, profit calculations and ABC analysis calculations. The first version has only normal and Poisson distributions but I am hoping that other distributions will follow in later versions. The functions are referenced from : 1-Harris, Ford W. (1913). "How many parts to make at once". Factory, The Magazine of Management. <isbn10: 135–136, 152>. 2- Nahmias, S. Production and Operations Analysis. McGraw-Hill International Edition. <isbn: 0-07- 2231265-3. Chapter 4>. 3-Silver, E.A., Pyke, D.F., Peterson, R. Inventory Management and Production Planning and Scheduling. <isbn: 978-0471119470>. 4-Ballou, R.H. Business Logistics Management. <isbn: 978-0130661845>. Chapter 9. 5-MIT Micromasters Program.
Depends: R (>= 3.4.0)
License: GPL-2
RoxygenNote: 6.1.1
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, stats, magrittr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2019-01-10 12:50:48 UTC; haythamomar
Author: Haytham Omar [aut, cre]
Maintainer: Haytham Omar <h.omar5942@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-17 17:10:03 UTC

More information about inventorize at CRAN
Permanent link

New package ecmwfr with initial version 1.0.0
Package: ecmwfr
Title: Interface to the 'ECMWF' Data Web Services
Version: 1.0.0
Authors@R: person( family = "Hufkens", given = "Koen", email = "koen.hufkens@gmail.com", role = c("aut", "cre"))
Description: Programmatic interface to the 'ECMWF' public dataset web services (<https://www.ecmwf.int/>). Allows for easy downloads of climate data directly to your R work space or your computer.
URL: https://github.com/khufkens/ecmwfr
BugReports: https://github.com/khufkens/ecmwfr/issues
Depends: R (>= 3.4)
Imports: httr, keyring
License: AGPL-3
LazyData: true
ByteCompile: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, covr, testthat, raster, maps, ncdf4
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-10 11:21:53 UTC; khufkens
Author: Koen Hufkens [aut, cre]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-17 17:10:11 UTC

More information about ecmwfr at CRAN
Permanent link

New package casino with initial version 0.1.0
Package: casino
Type: Package
Title: Play Casino Games
Version: 0.1.0
Authors@R: c( person("Anthony", "Pileggi", , "apileggi20@gmail.com", c("aut", "cre")) )
Description: Play casino games in the R console, including poker, blackjack, and a slot machine. Try to build your fortune before you succumb to the gambler's ruin!
License: MIT + file LICENSE
URL: https://anthonypileggi.github.io/casino, https://github.com/anthonypileggi/casino
BugReports: https://github.com/anthonypileggi/casino/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: magrittr, dplyr, tibble, tidyr, purrr, crayon, R6, ggplot2, utils
Suggests: knitr, rmarkdown, beepr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-10 21:52:04 UTC; anthony
Author: Anthony Pileggi [aut, cre]
Maintainer: Anthony Pileggi <apileggi20@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-17 17:40:03 UTC

More information about casino at CRAN
Permanent link

New package segmentr with initial version 0.1.1
Package: segmentr
Type: Package
Title: Segment Data With Maximum Likelihood
Version: 0.1.1
Authors@R: c( person("Thales", "Mello", email = "thalesmello@gmail.com", role = c("aut", "cre", "cph")), person("Florencia", "Leonardi", role = c("aut", "cph", "ths")), person("Bruno M.", "de Castro", role = c("cph")), person("Deutscher Wetterdienst", role = c("cph")) )
Maintainer: Thales Mello <thalesmello@gmail.com>
Description: Given a likelihood provided by the user, this package applies it to a given matrix dataset in order to find change points in the data that maximize the sum of the likelihoods of all the segments. This package provides a handful of algorithms with different time complexities and assumption compromises so the user is able to choose the best one for the problem at hand. The implementation of the segmentation algorithms in this package are based on the paper by Bruno M. de Castro, Florencia Leonardi (2018) <arXiv:1501.01756>. The Berlin weather sample dataset was provided by Deutscher Wetterdienst <https://dwd.de/>. You can find all the references in the Acknowledgments section of this package's repository via the URL below.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.12.16), foreach, glue
LinkingTo: Rcpp
Suggests: testthat, doParallel, knitr, rmarkdown, tidyr, tibble, dplyr, lubridate, magrittr, rdwd
RoxygenNote: 6.1.0
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/thalesmello/segmentr
NeedsCompilation: yes
Packaged: 2019-01-09 21:23:16 UTC; thalesmello
Author: Thales Mello [aut, cre, cph], Florencia Leonardi [aut, cph, ths], Bruno M. de Castro [cph], Deutscher Wetterdienst [cph]
Repository: CRAN
Date/Publication: 2019-01-17 16:50:03 UTC

More information about segmentr at CRAN
Permanent link

Package rstpm2 updated to version 1.4.5 with previous version 1.4.4 dated 2018-11-01

Title: Generalized Survival Models
Description: R implementation of generalized survival models (GSMs) and smooth accelerated failure time (AFT) models. For the GSMs, g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth. For fully parametric models with natural splines, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects. For the smooth AFTs, S(t|x) = S_0(t*eta(t,x)), where the baseline survival function S_0(t)=exp(-exp(eta_0(t))) is modelled for natural splines for eta_0, and the time-dependent cumulative acceleration factor eta(t,x)=\int_0^t exp(eta_1(u,x)) du for log acceleration factor eta_1(u,x).
Author: Mark Clements [aut, cre], Xing-Rong Liu [aut], Paul Lambert [ctb], Lasse Hjort Jakobsen [ctb], Alessandro Gasparini [ctb], Gordon Smyth [cph], Patrick Alken [cph], Simon Wood [cph], Rhys Ulerich [cph]
Maintainer: Mark Clements <mark.clements@ki.se>

Diff between rstpm2 versions 1.4.4 dated 2018-11-01 and 1.4.5 dated 2019-01-17

 DESCRIPTION               |   10 -
 MD5                       |   22 +--
 NEWS.md                   |   11 +
 R/pm2-3.R                 |  278 +++++++++++++++++++++++++++++++++-------------
 README.md                 |    2 
 inst/doc/Introduction.pdf |binary
 inst/doc/predictnl.pdf    |binary
 inst/working_code.R       |   23 +++
 man/predictnl.Rd          |    4 
 man/pstpm2.Rd             |   62 ++++++----
 man/stpm2.Rd              |   40 +++---
 tests                     |only
 12 files changed, 317 insertions(+), 135 deletions(-)

More information about rstpm2 at CRAN
Permanent link

Package RMCriteria updated to version 0.2.0 with previous version 0.1.1 dated 2018-10-11

Title: Multicriteria Package
Description: Provides a methodology to solve most of multicriteria ranking problems using partial and total pre-order from Promethee methods. Albuquerque & Montenegro (2015) <doi:10.1080/03610926.2014.942432>.
Author: Pedro Albuquerque and Gustavo Monteiro
Maintainer: Pedro Albuquerque <pedroa@unb.br>

Diff between RMCriteria versions 0.1.1 dated 2018-10-11 and 0.2.0 dated 2019-01-17

 DESCRIPTION                     |    6 
 MD5                             |   16 +-
 NAMESPACE                       |    1 
 R/Promethee4Kernel.R            |only
 R/PrometheeS4.R                 |   55 +-------
 R/RcppExports.R                 |   72 +++++------
 man/RPrometheeIVKernel-class.Rd |    2 
 man/RPrometheeIVKernel.Rd       |    2 
 man/brutePrometheeIVKernel.Rd   |only
 src/RcppExports.cpp             |  246 ++++++++++++++++++++--------------------
 10 files changed, 185 insertions(+), 215 deletions(-)

More information about RMCriteria at CRAN
Permanent link

Package rbacon updated to version 2.3.6 with previous version 2.3.5 dated 2018-12-19

Title: Age-Depth Modelling using Bayesian Statistics
Description: Bacon is an approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011) <doi:10.1214/11-BA618>.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut], Judith Esquivel Vazquez [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rbacon versions 2.3.5 dated 2018-12-19 and 2.3.6 dated 2019-01-17

 DESCRIPTION                |    8 ++++----
 MD5                        |   28 ++++++++++++++--------------
 NEWS.md                    |    6 +++++-
 R/Bacon.R                  |    2 +-
 R/internal_plots.R         |    4 ++--
 man/AgesOfEvents.Rd        |    6 +++---
 man/Bacon.Rd               |   25 +++++++++++++------------
 man/Bacon.hist.Rd          |    6 +++---
 man/accrate.depth.ghost.Rd |    9 +++++----
 man/add.dates.Rd           |    8 ++++----
 man/agedepth.Rd            |   35 ++++++++++++++++++-----------------
 man/calib.plot.Rd          |   11 ++++++-----
 man/flux.age.ghost.Rd      |   13 +++++++------
 man/proxy.ghost.Rd         |   13 +++++++------
 src/twalk.h                |    8 ++++----
 15 files changed, 96 insertions(+), 86 deletions(-)

More information about rbacon at CRAN
Permanent link

Package ffmanova updated to version 1.0.0 with previous version 0.9.1 dated 2018-11-12

Title: Fifty-Fifty MANOVA
Description: General linear modeling with multiple responses (MANCOVA). An overall p-value for each model term is calculated by the 50-50 MANOVA method by Langsrud (2002) <doi:10.1111/1467-9884.00320>, which handles collinear responses. Rotation testing, described by Langsrud (2005) <doi:10.1007/s11222-005-4789-5>, is used to compute adjusted single response p-values according to familywise error rates and false discovery rates (FDR). The approach to FDR is described in the appendix of Moen et al. (2005) <doi:10.1128/AEM.71.4.2086-2094.2005>. Unbalanced designs are handled by Type II sums of squares as argued in Langsrud (2003) <doi:10.1023/A:1023260610025>. Furthermore, the Type II philosophy is extended to continuous design variables as described in Langsrud et al. (2007) <doi:10.1080/02664760701594246>. This means that the method is invariant to scale changes and that common pitfalls are avoided.
Author: Øyvind Langsrud [aut, cre], Bjørn-Helge Mevik [aut]
Maintainer: Øyvind Langsrud <oyl@ssb.no>

Diff between ffmanova versions 0.9.1 dated 2018-11-12 and 1.0.0 dated 2019-01-17

 DESCRIPTION        |   14 +++++---------
 MD5                |   10 +++++-----
 R/ffmanova.R       |    2 +-
 R/ffmanova_div.R   |    6 +++---
 man/ffmanova.Rd    |    2 +-
 man/matlabColon.Rd |    4 ++--
 6 files changed, 17 insertions(+), 21 deletions(-)

More information about ffmanova at CRAN
Permanent link

Package DHARMa updated to version 0.2.1 with previous version 0.2.0 dated 2018-06-05

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

Diff between DHARMa versions 0.2.0 dated 2018-06-05 and 0.2.1 dated 2019-01-17

 DESCRIPTION                                    |   16 
 MD5                                            |   86 ++--
 NAMESPACE                                      |   14 
 NEWS                                           |   35 +
 R/DHARMa.R                                     |   52 +-
 R/compatibility.R                              |  167 +++++++++
 R/createData.R                                 |    2 
 R/helper.R                                     |only
 R/plotResiduals.R                              |   80 +++-
 R/simulateResiduals.R                          |  164 +--------
 R/tests.R                                      |   79 +++-
 R/zzz.R                                        |    2 
 build/vignette.rds                             |binary
 inst/doc/DHARMa.R                              |   69 +--
 inst/doc/DHARMa.Rmd                            |  171 +++------
 inst/doc/DHARMa.html                           |  440 ++++++++++++++-----------
 inst/examples/createDharmaHelp.R               |   29 +
 inst/examples/plotsHelp.R                      |    6 
 inst/examples/testModelHelp.R                  |only
 inst/examples/testSpatialAutocorrelationHelp.R |   49 ++
 man/DHARMa.Rd                                  |    2 
 man/DHARMa.ecdf.Rd                             |only
 man/checkDots.Rd                               |only
 man/createDHARMa.Rd                            |   36 +-
 man/createData.Rd                              |    9 
 man/getQuantile.Rd                             |only
 man/getResponse.Rd                             |only
 man/getSimulations.Rd                          |only
 man/hist.DHARMa.Rd                             |only
 man/plot.DHARMa.Rd                             |   10 
 man/plotQQunif.Rd                              |   12 
 man/plotResiduals.Rd                           |   16 
 man/refit.glmmTMB.Rd                           |    2 
 man/refit.lm.Rd                                |    2 
 man/simulateResiduals.Rd                       |   16 
 man/testDispersion.Rd                          |    2 
 man/testGeneric.Rd                             |    7 
 man/testModel.Rd                               |only
 man/testOutliers.Rd                            |only
 man/testResiduals.Rd                           |    2 
 man/testSpatialAutocorrelation.Rd              |   53 ++-
 man/testTemporalAutocorrelation.Rd             |    2 
 man/testUniformity.Rd                          |    6 
 man/testZeroInflation.Rd                       |    2 
 tests/testthat/Rplots.pdf                      |only
 tests/testthat/testCreateDharma.R              |    6 
 tests/testthat/testModelTypes.R                |   39 +-
 tests/testthat/testRecalculateResiduals.R      |only
 tests/testthat/testTests.R                     |    7 
 vignettes/DHARMa.Rmd                           |  171 +++------
 50 files changed, 1129 insertions(+), 734 deletions(-)

More information about DHARMa at CRAN
Permanent link

Package TropFishR updated to version 1.6.1 with previous version 1.6.0 dated 2018-06-26

Title: Tropical Fisheries Analysis
Description: A compilation of fish stock assessment methods for the analysis of length-frequency data in the context of data-poor fisheries. Includes methods and examples included in the FAO Manual by P. Sparre and S.C. Venema (1998), "Introduction to tropical fish stock assessment" (<http://www.fao.org/docrep/W5449E/W5449E00.htm>), as well as other more recent methods.
Author: Tobias K. Mildenberger, Marc H. Taylor, Matthias Wolff
Maintainer: Tobias K. Mildenberger <t.k.mildenberger@gmail.com>

Diff between TropFishR versions 1.6.0 dated 2018-06-26 and 1.6.1 dated 2019-01-17

 TropFishR-1.6.0/TropFishR/R/LBB.R                                        |only
 TropFishR-1.6.0/TropFishR/R/synLFQ8res.R                                 |only
 TropFishR-1.6.0/TropFishR/data/synLFQ8res.rda                            |only
 TropFishR-1.6.0/TropFishR/inst/doc/LBBmanual.R                           |only
 TropFishR-1.6.0/TropFishR/inst/doc/LBBmanual.Rmd                         |only
 TropFishR-1.6.0/TropFishR/inst/doc/LBBmanual.html                        |only
 TropFishR-1.6.0/TropFishR/man/AG.Rd                                      |only
 TropFishR-1.6.0/TropFishR/man/BH.Rd                                      |only
 TropFishR-1.6.0/TropFishR/man/LBB.Rd                                     |only
 TropFishR-1.6.0/TropFishR/man/plotLBB.Rd                                 |only
 TropFishR-1.6.0/TropFishR/man/plotLBB.data.Rd                            |only
 TropFishR-1.6.0/TropFishR/man/plotLBB.ts.Rd                              |only
 TropFishR-1.6.0/TropFishR/man/plotLBB.year.Rd                            |only
 TropFishR-1.6.0/TropFishR/man/synLFQ8res.Rd                              |only
 TropFishR-1.6.0/TropFishR/vignettes/LBBmanual.Rmd                        |only
 TropFishR-1.6.1/TropFishR/DESCRIPTION                                    |   11 +-
 TropFishR-1.6.1/TropFishR/MD5                                            |   35 ++-----
 TropFishR-1.6.1/TropFishR/NAMESPACE                                      |    9 -
 TropFishR-1.6.1/TropFishR/README.md                                      |   16 ---
 TropFishR-1.6.1/TropFishR/build/vignette.rds                             |binary
 TropFishR-1.6.1/TropFishR/inst/doc/Using_TropFishR_ELEFAN_functions.html |    4 
 TropFishR-1.6.1/TropFishR/inst/doc/lfqData.html                          |    4 
 TropFishR-1.6.1/TropFishR/inst/doc/tutorial.R                            |    3 
 TropFishR-1.6.1/TropFishR/inst/doc/tutorial.Rmd                          |    4 
 TropFishR-1.6.1/TropFishR/inst/doc/tutorial.html                         |   46 +++++-----
 TropFishR-1.6.1/TropFishR/vignettes/tutorial.Rmd                         |    4 
 26 files changed, 56 insertions(+), 80 deletions(-)

More information about TropFishR at CRAN
Permanent link

Package trialr updated to version 0.0.6 with previous version 0.0.5 dated 2018-11-12

Title: Clinical Trial Designs in 'RStan'
Description: A showcase of Bayesian clinical trial designs, implemented in 'RStan' and R. Some designs are implemented in R for the first time (e.g. 'EffTox' by Thall and Cook, 2004, <https://biostatistics.mdanderson.org/softwaredownload/SingleSoftware.aspx?Software_Id=2>). Given the emphasis on flexibility in Bayesian analysis, the implementations in a common language and style may serve as a cookbook to encourage the use of Bayesian methods in trials. Compiled 'RStan' models are provided in addition to helper classes and functions to perform simulations and inference on observed trial outcomes. There is a preponderance of early phase trial designs because this is where Bayesian methods are used most. If there is a published Bayesian design you want implemented in 'Stan', get in touch.
Author: Kristian Brock [aut, cre], Trustees of Columbia University [cph]
Maintainer: Kristian Brock <kristian.brock@gmail.com>

Diff between trialr versions 0.0.5 dated 2018-11-12 and 0.0.6 dated 2019-01-17

 DESCRIPTION                                |    8 -
 MD5                                        |   36 ++---
 NEWS.md                                    |    7 
 README.md                                  |    3 
 build/partial.rdb                          |binary
 build/vignette.rds                         |binary
 inst/doc/BEBOP.html                        |   62 ++++----
 inst/doc/CRM-visualisation.Rmd             |    2 
 inst/doc/CRM-visualisation.html            |   94 ++++++-------
 inst/doc/CRM.Rmd                           |    2 
 inst/doc/CRM.html                          |  120 ++++++++---------
 inst/doc/EffTox.html                       |  136 +++++++++----------
 inst/doc/HierarchicalBayesianResponse.html |   54 +++----
 inst/doc/trialr-overview.Rmd               |    2 
 inst/doc/trialr-overview.html              |  204 ++++++++++++++---------------
 tests/testthat/test_stan_efftox.R          |    4 
 vignettes/CRM-visualisation.Rmd            |    2 
 vignettes/CRM.Rmd                          |    2 
 vignettes/trialr-overview.Rmd              |    2 
 19 files changed, 374 insertions(+), 366 deletions(-)

More information about trialr at CRAN
Permanent link

Package RcppArmadillo updated to version 0.9.200.7.0 with previous version 0.9.200.5.0 dated 2018-11-28

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.9.200.5.0 dated 2018-11-28 and 0.9.200.7.0 dated 2019-01-17

 ChangeLog                                    |    9 
 DESCRIPTION                                  |    8 
 MD5                                          |   28 -
 build/vignette.rds                           |binary
 inst/NEWS.Rd                                 |   17 +
 inst/doc/RcppArmadillo-intro.pdf             |binary
 inst/doc/RcppArmadillo-sparseMatrix.pdf      |binary
 inst/include/armadillo_bits/Cube_meat.hpp    |    8 
 inst/include/armadillo_bits/Mat_bones.hpp    |    4 
 inst/include/armadillo_bits/Mat_meat.hpp     |    2 
 inst/include/armadillo_bits/arma_version.hpp |    2 
 inst/include/armadillo_bits/def_hdf5.hpp     |  308 ++++++++++-----------
 inst/include/armadillo_bits/fn_qz.hpp        |    8 
 inst/include/armadillo_bits/fn_spsolve.hpp   |  388 +++++++++++++--------------
 inst/include/armadillo_bits/fn_trace.hpp     |   52 +++
 15 files changed, 455 insertions(+), 379 deletions(-)

More information about RcppArmadillo at CRAN
Permanent link

New package RCALI with initial version 0.3.1
Package: RCALI
Title: Calculation of the Integrated Flow of Particles Between Polygons
Version: 0.3.1
Date: 2019-01-17
Encoding: UTF-8
Authors@R: c(person("Annie", "Bouvier", role = c("aut","cph")), person("Kien", "Kieu", role = c("aut","cph")), person("Kasia", "Adamczyk", role = c("aut","cph"), email = "katarzyna.adamczyk@inra.fr"), person("Herve", "Monod", role = c("aut","cph"), email = "herve.monod@inra.fr"), person("Jean-Francois", "Rey", role = "cre", email = "jean-francois.rey@inra.fr"))
Author: Annie Bouvier [aut, cph], Kien Kieu [aut, cph], Kasia Adamczyk [aut, cph], Herve Monod [aut, cph], Jean-Francois Rey [cre]
Maintainer: Jean-Francois Rey <jean-francois.rey@inra.fr>
Description: Calculate the flow of particles between polygons by two integration methods: integration by a cubature method and integration on a grid of points. Annie Bouvier, Kien Kieu, Kasia Adamczyk and Herve Monod (2009) <doi:10.1016/j.envsoft.2008.11.006>.
License: GPL-3
URL: https://gitlab.paca.inra.fr/biosp/RCALI
Imports: splancs, graphics, grDevices
NeedsCompilation: yes
Packaged: 2019-01-17 10:03:45 UTC; jfrey
Repository: CRAN
Date/Publication: 2019-01-17 14:20:03 UTC

More information about RCALI at CRAN
Permanent link

Package dad updated to version 3.2.0 with previous version 3.1.1 dated 2018-05-09

Title: Three-Way / Multigroup Data Analysis Through Densities
Description: The data consist of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides tools to create or manage such data and functional methods (principal component analysis, multidimensional scaling, cluster analysis, discriminant analysis...) for such probability densities.
Author: Rachid Boumaza[aut, cre], Pierre Santagostini [aut], Smail Yousfi [aut], Gilles Hunault [ctb], Julie Bourbeillon [ctb], Besnik Pumo [ctb], Sabine Demotes-Mainard [aut]
Maintainer: Rachid Boumaza <rachid.boumaza@agrocampus-ouest.fr>

Diff between dad versions 3.1.1 dated 2018-05-09 and 3.2.0 dated 2019-01-17

 DESCRIPTION              |   12 
 MD5                      |   58 +-
 NAMESPACE                |  134 ++--
 R/dstatis.inter.R        |only
 R/fdiscd.misclass.R      | 1290 +++++++++++++++++++++++------------------------
 R/fdiscd.predict.R       | 1143 +++++++++++++++++++++--------------------
 R/fhclustd.R             |  633 +++++++++++------------
 R/fmdsd.R                |  759 +++++++++++++--------------
 R/fpcad.R                |    8 
 R/interpret.dstatis.R    |only
 R/interpret.fmdsd.R      |    2 
 R/interpret.fpcad.R      |    2 
 R/is.dstatis.R           |only
 R/jeffreys.R             |    4 
 R/matwasserstein.R       |only
 R/matwassersteinpar.R    |only
 R/plot.dstatis.R         |only
 R/print.dstatis.R        |only
 R/wasserstein.R          |only
 R/wassersteinpar.R       |only
 man/dad-package.Rd       |  132 ++--
 man/dstatis.inter.Rd     |only
 man/fdiscd.misclass.Rd   |  197 +++----
 man/fdiscd.predict.Rd    |  243 ++++----
 man/fhclustd.Rd          |  349 ++++++------
 man/fmdsd.Rd             |  308 +++++------
 man/interpret.dstatis.Rd |only
 man/is.dstatis.Rd        |only
 man/l2d.Rd               |    2 
 man/mathellinger.Rd      |    2 
 man/mathellingerpar.Rd   |    2 
 man/matipl2dpar.Rd       |  108 +--
 man/matjeffreyspar.Rd    |    4 
 man/matwasserstein.Rd    |only
 man/matwassersteinpar.Rd |only
 man/plot.dstatis.Rd      |only
 man/print.dstatis.Rd     |only
 man/wasserstein.Rd       |only
 man/wassersteinpar.Rd    |only
 39 files changed, 2733 insertions(+), 2659 deletions(-)

More information about dad at CRAN
Permanent link

Package behaviorchange updated to version 0.1.0 with previous version 0.0.2 dated 2018-09-24

Title: Tools for Behavior Change Researchers and Professionals
Description: Contains specialised analyses and visualisation tools for behavior change science. These facilitate conducting determinant studies (for example, using confidence interval-based estimation of relevance, CIBER, or CIBERlite plots), systematically developing, reporting, and analysing interventions (for example, using acyclic behavior change diagrams or ABCDs), and reporting about intervention effectiveness (for example, using the Numbers Needed for Change). This package is especially useful for researchers in the field of behavior change or health psychology and to behavior change professionals such as intervention developers and prevention workers.
Author: Gjalt-Jorn Peters [aut, cre, ctb]
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@a-bc.eu>

Diff between behaviorchange versions 0.0.2 dated 2018-09-24 and 0.1.0 dated 2019-01-17

 behaviorchange-0.0.2/behaviorchange/data/abcd_specs_full.rda                         |only
 behaviorchange-0.0.2/behaviorchange/data/abcd_specs_single_po.rda                    |only
 behaviorchange-0.1.0/behaviorchange/DESCRIPTION                                      |   37 -
 behaviorchange-0.1.0/behaviorchange/MD5                                              |   58 +-
 behaviorchange-0.1.0/behaviorchange/NAMESPACE                                        |    8 
 behaviorchange-0.1.0/behaviorchange/R/CIBER.R                                        |   95 +--
 behaviorchange-0.1.0/behaviorchange/R/abcd.R                                         |  263 ++++++----
 behaviorchange-0.1.0/behaviorchange/R/apply_graph_theme.R                            |only
 behaviorchange-0.1.0/behaviorchange/R/behaviorchange.R                               |only
 behaviorchange-0.1.0/behaviorchange/R/convert.threshold.to.er.R                      |only
 behaviorchange-0.1.0/behaviorchange/R/curfnfinder.R                                  |    7 
 behaviorchange-0.1.0/behaviorchange/R/detStructAddVarLabels.R                        |   13 
 behaviorchange-0.1.0/behaviorchange/R/detStructAddVarNames.R                         |   85 ++-
 behaviorchange-0.1.0/behaviorchange/R/detStructCIBER.R                               |   31 -
 behaviorchange-0.1.0/behaviorchange/R/detStructComputeProducts.R                     |   19 
 behaviorchange-0.1.0/behaviorchange/R/detStructComputeScales.R                       |   22 
 behaviorchange-0.1.0/behaviorchange/R/determinantStructure.R                         |    2 
 behaviorchange-0.1.0/behaviorchange/R/erDataSeq.R                                    |only
 behaviorchange-0.1.0/behaviorchange/R/from_epiR_epi.2by2.R                           |only
 behaviorchange-0.1.0/behaviorchange/R/ggNNC.R                                        |only
 behaviorchange-0.1.0/behaviorchange/R/nnc.R                                          |only
 behaviorchange-0.1.0/behaviorchange/build                                            |only
 behaviorchange-0.1.0/behaviorchange/data/abcd_specs_complete.rda                     |only
 behaviorchange-0.1.0/behaviorchange/data/abcd_specs_dutch_xtc.rda                    |only
 behaviorchange-0.1.0/behaviorchange/data/abcd_specs_single_po_without_conditions.rda |only
 behaviorchange-0.1.0/behaviorchange/data/abcd_specs_without_conditions.rda           |only
 behaviorchange-0.1.0/behaviorchange/inst                                             |only
 behaviorchange-0.1.0/behaviorchange/man/CIBER.Rd                                     |   19 
 behaviorchange-0.1.0/behaviorchange/man/abcd.Rd                                      |   45 +
 behaviorchange-0.1.0/behaviorchange/man/abcd_specs_examples.Rd                       |   31 -
 behaviorchange-0.1.0/behaviorchange/man/apply_graph_theme.Rd                         |only
 behaviorchange-0.1.0/behaviorchange/man/behaviorchange-package.Rd                    |only
 behaviorchange-0.1.0/behaviorchange/man/detStructPreprocessing.Rd                    |   40 +
 behaviorchange-0.1.0/behaviorchange/man/nnc.Rd                                       |only
 behaviorchange-0.1.0/behaviorchange/man/nncvis.Rd                                    |only
 behaviorchange-0.1.0/behaviorchange/vignettes                                        |only
 36 files changed, 501 insertions(+), 274 deletions(-)

More information about behaviorchange at CRAN
Permanent link

New package apcf with initial version 0.1.2
Package: apcf
Title: Adapted Pair Correlation Function
Version: 0.1.2
Authors@R: person(given="Robert", family="Nuske", role=c("aut", "cre"), email="robert.nuske@mailbox.org", comment=c(ORCID="0000-0001-9773-2061"))
Description: The adapted pair correlation function transfers the concept of the pair correlation function from point patterns to patterns of objects of finite size and irregular shape (e.g. lakes within a country). This is a reimplementation of the method suggested by Nuske et al. (2009) <doi:10.1016/j.foreco.2009.09.050> using the libraries 'GEOS' and 'GDAL' directly instead of through 'PostGIS'.
License: GPL (>= 3)
URL: https://github.com/rnuske/apcf
BugReports: https://github.com/rnuske/apcf/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: Rcpp (>= 0.12), graphics
Suggests: knitr, rmarkdown
LinkingTo: Rcpp
SystemRequirements: C++11, GDAL (>= 2.0.0), GEOS (>= 3.4.0)
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-01-17 10:52:45 UTC; rnuske
Author: Robert Nuske [aut, cre] (<https://orcid.org/0000-0001-9773-2061>)
Maintainer: Robert Nuske <robert.nuske@mailbox.org>
Repository: CRAN
Date/Publication: 2019-01-17 15:00:03 UTC

More information about apcf at CRAN
Permanent link

Package rym updated to version 0.5.1 with previous version 0.4.0 dated 2018-09-14

Title: R Interface to Yandex Metrica API
Description: Allows work with 'Management API' for load counters, segments, filters, user permissions and goals list from Yandex Metrica, 'Reporting API' allows you to get information about the statistics of site visits and other data without using the web interface, 'Logs API' allows to receive non-aggregated data and 'Compatible with Google Analytics Core Reporting API v3' allows receive information about site traffic and other data using field names from Google Analytics Core API. For more information see official documents <https://tech.yandex.ru/metrika/doc/api2/concept/about-docpage/>.
Author: Alexey Seleznev <selesnow@gmail.com>
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rym versions 0.4.0 dated 2018-09-14 and 0.5.1 dated 2019-01-17

 DESCRIPTION                   |   19 +++++++++++--------
 MD5                           |   35 ++++++++++++++++++++++-------------
 NAMESPACE                     |    1 +
 R/rym_get_direct_clients.R    |only
 R/rym_get_logs.R              |    2 +-
 R/zzz.R                       |   29 +++++++++++++++++++----------
 README.md                     |only
 build/partial.rdb             |binary
 build/vignette.rds            |only
 inst                          |only
 man/rym-package.Rd            |   12 ++++++++++++
 man/rym_get_data.Rd           |    4 +++-
 man/rym_get_direct_clients.Rd |only
 man/rym_get_filters.Rd        |    8 ++++----
 man/rym_get_ga.Rd             |    7 ++++---
 man/rym_get_goals.Rd          |   21 +++++++++++----------
 man/rym_get_logs.Rd           |    6 +++++-
 man/rym_get_segments.Rd       |   16 ++++++++++------
 man/rym_users_grants.Rd       |    8 +++++---
 vignettes                     |only
 20 files changed, 108 insertions(+), 60 deletions(-)

More information about rym at CRAN
Permanent link

Package QuantumOps updated to version 2.2 with previous version 2.1 dated 2019-01-10

Title: Performs Common Linear Algebra Operations Used in Quantum Computing
Description: Contains basic structures and operations used frequently in quantum computing. Intended to be a convenient tool to help in practicing the linear algebra involved in quantum operations. Has functionality for the creation of arbitrarily sized kets, bras, matrices and implements quantum gates, inner products, and tensor products. Contains all commonly used quantum gates and can simulate complete or partial measurements of kets. Can simulate the Quantum Fourier Transform developed by Shor (1999) and implements Shor's algorithm, factoring numbers up to 21. Implements modular arithmetic commonly found in quantum algorithms and can convert functions into equivalent quantum gates.
Author: Salonik Resch
Maintainer: Salonik Resch <resc0059@umn.edu>

Diff between QuantumOps versions 2.1 dated 2019-01-10 and 2.2 dated 2019-01-17

 DESCRIPTION           |   10 +++++-----
 MD5                   |   19 +++++++++++++++----
 NAMESPACE             |    7 ++++++-
 R/CFA.R               |only
 R/Shor.R              |only
 R/exponentialMod.R    |only
 R/intket.R            |only
 R/measure.R           |   50 ++++++++++++++++++++++++++++++++++++++++++++------
 R/reduceMeasure.R     |only
 man/CFA.Rd            |only
 man/Shor.Rd           |only
 man/Uf.Rd             |    1 +
 man/exponentialMod.Rd |only
 man/intket.Rd         |only
 man/measure.Rd        |only
 man/reduceMeasure.Rd  |only
 16 files changed, 71 insertions(+), 16 deletions(-)

More information about QuantumOps at CRAN
Permanent link

Package prabclus updated to version 2.2-7 with previous version 2.2-6 dated 2015-01-14

Title: Functions for Clustering of Presence-Absence, Abundance and Multilocus Genetic Data
Description: Distance-based parametric bootstrap tests for clustering with spatial neighborhood information. Some distance measures, Clustering of presence-absence, abundance and multilocus genetical data for species delimitation, nearest neighbor based noise detection. Try package?prabclus for on overview.
Author: Christian Hennig <christian.hennig@unibo.it>, Bernhard Hausdorf <Hausdorf@zoologie.uni-hamburg.de>
Maintainer: Christian Hennig <christian.hennig@unibo.it>

Diff between prabclus versions 2.2-6 dated 2015-01-14 and 2.2-7 dated 2019-01-17

 prabclus-2.2-6/prabclus/README                               |only
 prabclus-2.2-7/prabclus/DESCRIPTION                          |   12 +++---
 prabclus-2.2-7/prabclus/MD5                                  |   21 +++++------
 prabclus-2.2-7/prabclus/NAMESPACE                            |   18 +++++++++
 prabclus-2.2-7/prabclus/R/prabclust.R                        |   18 ++++++---
 prabclus-2.2-7/prabclus/data/kykladspecreg.rda               |binary
 prabclus-2.2-7/prabclus/data/waterdist.rda                   |binary
 prabclus-2.2-7/prabclus/man/alleleconvert.Rd                 |    8 ++--
 prabclus-2.2-7/prabclus/man/prabclust.Rd                     |    5 --
 prabclus-2.2-7/prabclus/man/tetragonula.Rd                   |    7 ++-
 prabclus-2.2-7/prabclus/tests/Examples/prabclus-Ex.Rout.save |   14 ++++---
 prabclus-2.2-7/prabclus/tests/prabclustests.Rout.save        |   19 +++++++--
 12 files changed, 79 insertions(+), 43 deletions(-)

More information about prabclus at CRAN
Permanent link

Package pense updated to version 1.2.1 with previous version 1.2.0 dated 2018-03-10

Title: Penalized Elastic Net S/MM-Estimator of Regression
Description: Robust penalized elastic net S and MM estimator for linear regression. The method is described in detail in Cohen Freue, G. V., Kepplinger, D., Salibian-Barrera, M., and Smucler, E. (2017) <https://gcohenfr.github.io/pdfs/PENSE_manuscript.pdf>.
Author: David Kepplinger [aut, cre], Matias Salibian-Barrera [aut], Gabriela Cohen Freue [aut], Derek Cho [ctb]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

Diff between pense versions 1.2.0 dated 2018-03-10 and 1.2.1 dated 2019-01-17

 DESCRIPTION              |    8 ++++----
 MD5                      |   16 ++++++++--------
 NEWS.md                  |   26 +++++++++++++++-----------
 configure                |   18 +++++++++---------
 configure.ac             |    2 +-
 src/InitialEstimator.cpp |    3 ++-
 src/PSCxx.cpp            |    2 +-
 src/autoconfig.win.h     |    4 ++--
 src/config.h             |    2 ++
 9 files changed, 44 insertions(+), 37 deletions(-)

More information about pense at CRAN
Permanent link

Package mldr.datasets updated to version 0.4.2 with previous version 0.4.0 dated 2017-11-17

Title: R Ultimate Multilabel Dataset Repository
Description: Large collection of multilabel datasets along with the functions needed to export them to several formats, to make partitions, and to obtain bibliographic information.
Author: David Charte [cre] (<https://orcid.org/0000-0002-4830-9512>), Francisco Charte [aut] (<https://orcid.org/0000-0002-3083-8942>), Antonio J. Rivera [aut]
Maintainer: David Charte <fdavidcl@ugr.es>

Diff between mldr.datasets versions 0.4.0 dated 2017-11-17 and 0.4.2 dated 2019-01-17

 DESCRIPTION              |   25 +++++----
 MD5                      |   16 +++---
 R/export.R               |  119 ++++++++++++++++++++++++++++++-----------------
 R/utils.R                |   47 ++++--------------
 man/check_n_load.mldr.Rd |    2 
 man/get.mldr.Rd          |    4 -
 man/mldrs.Rd             |    2 
 man/random.partitions.Rd |    3 -
 man/write.mldr.Rd        |    5 +
 9 files changed, 121 insertions(+), 102 deletions(-)

More information about mldr.datasets at CRAN
Permanent link

Package tosca updated to version 0.1-3 with previous version 0.1-2 dated 2018-09-13

Title: Tools for Statistical Content Analysis
Description: A framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the 'lda' package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided.
Author: Lars Koppers [aut, cre] (<https://orcid.org/0000-0002-1642-9616>), Jonas Rieger [aut], Karin Boczek [ctb] (<https://orcid.org/0000-0003-1516-4094>), Gerret von Nordheim [ctb] (<https://orcid.org/0000-0001-7553-3838>)
Maintainer: Lars Koppers <koppers@statistik.tu-dortmund.de>

Diff between tosca versions 0.1-2 dated 2018-09-13 and 0.1-3 dated 2019-01-17

 DESCRIPTION                                                  |   19 
 MD5                                                          |   80 
 NAMESPACE                                                    |  112 -
 R/as.corpus.textmeta.R                                       |only
 R/as.textmeta.corpus.R                                       |only
 R/filterCount.R                                              |    8 
 R/filterDate.R                                               |    7 
 R/filterWord.R                                               |   12 
 R/readWhatsApp.R                                             |only
 R/showMeta.R                                                 |    5 
 R/showTexts.R                                                |    5 
 R/tidy.textmeta.R                                            |only
 build/vignette.rds                                           |binary
 data/economy.rda                                             |binary
 data/politics.rda                                            |binary
 inst/doc/Vignette.R                                          |    9 
 inst/doc/Vignette.Rmd                                        |    6 
 inst/doc/Vignette.pdf                                        |  991 +++++------
 man/as.corpus.textmeta.Rd                                    |only
 man/as.textmeta.corpus.Rd                                    |only
 man/filterCount.Rd                                           |   80 
 man/filterDate.Rd                                            |   95 -
 man/filterWord.Rd                                            |  116 -
 man/readWhatsApp.Rd                                          |only
 man/showMeta.Rd                                              |   71 
 man/showTexts.Rd                                             |   77 
 man/tidy.textmeta.Rd                                         |only
 vignettes/Vignette.Rmd                                       |    6 
 vignettes/Vignette_files/figure-latex/unnamed-chunk-15-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-16-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-17-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-17-2.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-18-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-18-2.pdf |only
 vignettes/Vignette_files/figure-latex/unnamed-chunk-19-1.pdf |only
 vignettes/Vignette_files/figure-latex/unnamed-chunk-42-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-43-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-44-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-45-1.pdf |only
 vignettes/Vignette_files/figure-latex/unnamed-chunk-46-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-47-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-48-1.pdf |only
 vignettes/Vignette_files/figure-latex/unnamed-chunk-49-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-50-1.pdf |only
 vignettes/Vignette_files/figure-latex/unnamed-chunk-51-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-52-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-53-1.pdf |binary
 vignettes/Vignette_files/figure-latex/unnamed-chunk-54-1.pdf |only
 48 files changed, 869 insertions(+), 830 deletions(-)

More information about tosca at CRAN
Permanent link

Package StepReg updated to version 1.0.1 with previous version 1.0.0 dated 2017-11-03

Title: Stepwise Regression Analysis
Description: Stepwise regression analysis for variable selection can be used to get the best candidate final regression model in univariate or multivariate regression analysis with the 'forward' and 'stepwise' steps. Procedure uses Akaike information criterion, the small-sample-size corrected version of Akaike information criterion, Bayesian information criterion, Hannan and Quinn information criterion, the corrected form of Hannan and Quinn information criterion, Schwarz criterion and significance levels as selection criteria, where the significance levels for entry and for stay are set to 0.15 as default. Multicollinearity detection in regression model are performed by checking tolerance value, which is set to 1e-7 as default. Continuous variables nested within class effect are also considered in this package.
Author: Junhui Li,Kun Cheng,Wenxin Liu
Maintainer: Junhui Li <junhuili@cau.edu.cn>

Diff between StepReg versions 1.0.0 dated 2017-11-03 and 1.0.1 dated 2019-01-17

 DESCRIPTION            |    8 ++++----
 MD5                    |    8 ++++----
 R/stepwise.R           |    2 +-
 man/StepReg-package.Rd |    2 +-
 man/stepwise.Rd        |    4 ++--
 5 files changed, 12 insertions(+), 12 deletions(-)

More information about StepReg at CRAN
Permanent link

Package randomsearch updated to version 0.2.0 with previous version 0.1.0 dated 2018-07-01

Title: Random Search for Expensive Functions
Description: Simple Random Search function for the 'smoof' and 'ParamHelpers' ecosystem with termination criteria and parallelization.
Author: Jakob Richter [aut, cre] (<https://orcid.org/0000-0003-4481-5554>)
Maintainer: Jakob Richter <code@jakob-r.de>

Diff between randomsearch versions 0.1.0 dated 2018-07-01 and 0.2.0 dated 2019-01-17

 DESCRIPTION                        |    8 -
 MD5                                |   26 +++---
 NAMESPACE                          |    2 
 NEWS.md                            |only
 R/helpers.R                        |    7 -
 R/randomsearch.R                   |   92 +++++++++++++++++-----
 README.md                          |only
 build/vignette.rds                 |binary
 inst/doc/randomsearch.R            |   57 ++++++++++---
 inst/doc/randomsearch.Rmd          |   83 ++++++++++++++++---
 inst/doc/randomsearch.html         |  154 +++++++++++++++++++++++++++++--------
 man/randomsearch.Rd                |   45 +++++++++-
 tests/testthat/helper_objects.R    |    6 +
 tests/testthat/test_randomsearch.R |   10 ++
 vignettes/randomsearch.Rmd         |   83 ++++++++++++++++---
 15 files changed, 450 insertions(+), 123 deletions(-)

More information about randomsearch at CRAN
Permanent link

Package glmnetUtils updated to version 1.1.1 with previous version 1.1 dated 2017-08-01

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

Diff between glmnetUtils versions 1.1 dated 2017-08-01 and 1.1.1 dated 2019-01-17

 DESCRIPTION                      |    8 ++++----
 MD5                              |   12 ++++++------
 NEWS.md                          |    3 +++
 R/cvGlmnetFormula.r              |    3 ++-
 build/vignette.rds               |binary
 inst/doc/intro.html              |   14 +++++++-------
 tests/testthat/test2_cv_glmnet.R |   11 +++++++++++
 7 files changed, 33 insertions(+), 18 deletions(-)

More information about glmnetUtils at CRAN
Permanent link

Package RJafroc (with last version 1.1.0) was removed from CRAN

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

2018-11-14 1.1.0
2018-05-31 1.0.2
2018-02-18 1.0.1
2018-02-04 1.0.0
2015-08-14 0.1.1
2015-07-30 0.1.0
2015-04-24 0.0.1

Permanent link
Package projmanr (with last version 0.2.1) was removed from CRAN

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

2018-07-26 0.2.1
2018-03-07 0.1.1
2017-08-23 0.1.0

Permanent link
Package future.apply updated to version 1.1.0 with previous version 1.0.1 dated 2018-08-26

Title: Apply Function to Elements in Parallel using Futures
Description: Implementations of apply(), eapply(), lapply(), Map(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.
Author: Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future.apply versions 1.0.1 dated 2018-08-26 and 1.1.0 dated 2019-01-17

 DESCRIPTION                   |   12 ++---
 MD5                           |   29 ++++++------
 NEWS                          |   25 ++++++++++
 R/chunks.R                    |   44 ++++++++++++++++++-
 R/future_lapply.R             |   96 ++++++++++++++++++++++++++++++++++--------
 R/future_mapply.R             |   54 +++++++++++++++++++----
 R/utils.R                     |    7 +++
 build/vignette.rds            |binary
 inst/WORDLIST                 |   23 +++++++++-
 man/future_lapply.Rd          |   53 +++++++++++++++++++----
 man/future_mapply.Rd          |   36 ++++++++++-----
 man/makeChunks.Rd             |   18 +++++++
 tests/future_lapply.R         |   12 ++++-
 tests/future_mapply,globals.R |    2 
 tests/future_mapply.R         |   10 ++--
 tests/stdout.R                |only
 16 files changed, 346 insertions(+), 75 deletions(-)

More information about future.apply at CRAN
Permanent link

Package DSAIRM updated to version 0.5.0 with previous version 0.4.0 dated 2018-08-13

Title: Dynamical Systems Approach to Immune Response Modeling
Description: A collection of 'shiny' apps that allow for the simulation and exploration of various within-host immune response scenarios. The purpose of the package is to help individuals learn about within-host infection and immune response modeling from a dynamical systems perspective. All apps include explanations of the underlying models and instructions on what to do with the models. The development of this package was partially supported by NIH grant U19AI117891.
Author: Andreas Handel [aut, cre] (<https://orcid.org/0000-0002-4622-1146>), Spencer Hall [ctb], Sina Solaimanpour [ctb], Henok Woldu [ctb]
Maintainer: Andreas Handel <ahandel@uga.edu>

Diff between DSAIRM versions 0.4.0 dated 2018-08-13 and 0.5.0 dated 2019-01-17

 DSAIRM-0.4.0/DSAIRM/R/dsairmapps.R                                               |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_basicbacteria.R                                   |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_basicvirus.R                                      |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_drugresistance.r                                  |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_fitbasicmodel.R                                   |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_fitconfint.R                                      |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_fitmodelcomparison.R                              |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_modelvariants.R                                   |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_pkpdmodel.R                                       |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_stochasticvirus.r                                 |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_virus_tx.R                                        |only
 DSAIRM-0.4.0/DSAIRM/R/simulate_virusandir.R                                      |only
 DSAIRM-0.4.0/DSAIRM/inst/docsfordevelopers/newappfiles                           |only
 DSAIRM-0.4.0/DSAIRM/inst/media/dsairm_after_body.txt                             |only
 DSAIRM-0.4.0/DSAIRM/inst/media/dsairm_before_body.txt                            |only
 DSAIRM-0.4.0/DSAIRM/inst/media/footer.html                                       |only
 DSAIRM-0.4.0/DSAIRM/inst/media/header.html                                       |only
 DSAIRM-0.4.0/DSAIRM/inst/shinyapps                                               |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_basicbacteria.R             |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_basicvirus.R                |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_drugresistance.r            |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_fitbasicmodel.R             |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_fitconfint.R                |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_fitmodelcomparison.R        |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_modelvariants.R             |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_pkpdmodel.R                 |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_stochasticvirus.r           |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_virus_tx.R                  |only
 DSAIRM-0.4.0/DSAIRM/inst/simulatorfunctions/simulate_virusandir.R                |only
 DSAIRM-0.4.0/DSAIRM/man/dsairmapps.Rd                                            |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_basicbacteria.Rd                                |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_basicvirus.Rd                                   |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_drugresistance.Rd                               |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_fitbasicmodel.Rd                                |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_fitconfint.Rd                                   |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_fitmodelcomparison.Rd                           |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_modelvariants.Rd                                |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_pkpdmodel.Rd                                    |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_stochasticvirus.Rd                              |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_virus_tx.Rd                                     |only
 DSAIRM-0.4.0/DSAIRM/man/simulate_virusandir.Rd                                   |only
 DSAIRM-0.4.0/DSAIRM/tests/testthat/Rplots.pdf                                    |only
 DSAIRM-0.4.0/DSAIRM/tests/testthat/test-dsairmapps.R                             |only
 DSAIRM-0.5.0/DSAIRM/DESCRIPTION                                                  |   18 
 DSAIRM-0.5.0/DSAIRM/MD5                                                          |  227 +++---
 DSAIRM-0.5.0/DSAIRM/NAMESPACE                                                    |   25 
 DSAIRM-0.5.0/DSAIRM/NEWS.md                                                      |    6 
 DSAIRM-0.5.0/DSAIRM/R/dsairmmenu.R                                               |   28 
 DSAIRM-0.5.0/DSAIRM/R/generate_documentation.R                                   |   11 
 DSAIRM-0.5.0/DSAIRM/R/generate_plots.R                                           |   21 
 DSAIRM-0.5.0/DSAIRM/R/generate_shinyinput.R                                      |only
 DSAIRM-0.5.0/DSAIRM/R/generate_text.R                                            |   41 -
 DSAIRM-0.5.0/DSAIRM/R/run_model.R                                                |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_basicbacteria_discrete.R                          |  110 +--
 DSAIRM-0.5.0/DSAIRM/R/simulate_basicbacteria_ode.R                               |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_basicmodel_fit.R                                  |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_basicvirus_ode.R                                  |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_basicvirus_stochastic.R                           |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_confint_fit.R                                     |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_drugresistance_stochastic.R                       |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_modelcomparison_fit.R                             |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_modelexploration.R                                |   88 +-
 DSAIRM-0.5.0/DSAIRM/R/simulate_modelvariants_ode.R                               |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_pkpdmodel_ode.R                                   |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_usanalysis.R                                      |   96 +-
 DSAIRM-0.5.0/DSAIRM/R/simulate_virusandir_ode.R                                  |only
 DSAIRM-0.5.0/DSAIRM/R/simulate_virusandtx_ode.R                                  |only
 DSAIRM-0.5.0/DSAIRM/build/vignette.rds                                           |binary
 DSAIRM-0.5.0/DSAIRM/inst/appinformation                                          |only
 DSAIRM-0.5.0/DSAIRM/inst/doc/DSAIRM.R                                            |   34 -
 DSAIRM-0.5.0/DSAIRM/inst/doc/DSAIRM.Rmd                                          |   79 +-
 DSAIRM-0.5.0/DSAIRM/inst/doc/DSAIRM.html                                         |  250 ++++---
 DSAIRM-0.5.0/DSAIRM/inst/docsfordevelopers/documentation.html                    |  332 +++++++++-
 DSAIRM-0.5.0/DSAIRM/inst/docsfordevelopers/documentation.md                      |   46 -
 DSAIRM-0.5.0/DSAIRM/inst/mainmenu                                                |only
 DSAIRM-0.5.0/DSAIRM/inst/media/drugresistancemodel.png                           |only
 DSAIRM-0.5.0/DSAIRM/inst/media/drugresistancemodel.svg                           |only
 DSAIRM-0.5.0/DSAIRM/inst/media/dsairm.css                                        |  107 +--
 DSAIRM-0.5.0/DSAIRM/inst/media/references.bib                                    |    5 
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_basicbacteria_discrete.R    |  107 +--
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_basicbacteria_ode.R         |only
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_basicmodel_fit.R            |only
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_basicvirus_ode.R            |only
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_basicvirus_stochastic.R     |only
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_confint_fit.R               |only
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_drugresistance_stochastic.R |only
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_modelcomparison_fit.R       |only
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_modelexploration.R          |  104 +--
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_modelvariants_ode.R         |only
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_pkpdmodel_ode.R             |only
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_usanalysis.R                |  106 +--
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_virusandir_ode.R            |only
 DSAIRM-0.5.0/DSAIRM/inst/simulatorfunctions/simulate_virusandtx_ode.R            |only
 DSAIRM-0.5.0/DSAIRM/man/dsairmmenu.Rd                                            |    2 
 DSAIRM-0.5.0/DSAIRM/man/generate_documentation.Rd                                |    5 
 DSAIRM-0.5.0/DSAIRM/man/generate_plots.Rd                                        |    4 
 DSAIRM-0.5.0/DSAIRM/man/generate_shinyinput.Rd                                   |only
 DSAIRM-0.5.0/DSAIRM/man/run_model.Rd                                             |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_basicbacteria_discrete.Rd                       |   74 --
 DSAIRM-0.5.0/DSAIRM/man/simulate_basicbacteria_ode.Rd                            |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_basicmodel_fit.Rd                               |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_basicvirus_ode.Rd                               |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_basicvirus_stochastic.Rd                        |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_confint_fit.Rd                                  |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_drugresistance_stochastic.Rd                    |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_modelcomparison_fit.Rd                          |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_modelexploration.Rd                             |   61 +
 DSAIRM-0.5.0/DSAIRM/man/simulate_modelvariants_ode.Rd                            |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_pkpdmodel_ode.Rd                                |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_usanalysis.Rd                                   |   75 +-
 DSAIRM-0.5.0/DSAIRM/man/simulate_virusandir_ode.Rd                               |only
 DSAIRM-0.5.0/DSAIRM/man/simulate_virusandtx_ode.Rd                               |only
 DSAIRM-0.5.0/DSAIRM/tests/testthat/test-generate_plots.R                         |   19 
 DSAIRM-0.5.0/DSAIRM/tests/testthat/test-generate_text.R                          |   47 -
 DSAIRM-0.5.0/DSAIRM/vignettes/DSAIRM.Rmd                                         |   79 +-
 DSAIRM-0.5.0/DSAIRM/vignettes/mysimulator.R                                      |  126 +--
 116 files changed, 1262 insertions(+), 1071 deletions(-)

More information about DSAIRM at CRAN
Permanent link

Package colourvalues updated to version 0.2.2 with previous version 0.2.1 dated 2018-12-19

Title: Assigns Colours to Values
Description: Maps one of the viridis colour palettes, or a user-specified palette to values. Viridis colour maps are created by Stéfan van der Walt and Nathaniel Smith. They were set as the default palette for the 'Python' 'Matplotlib' library, introduced at SciPy 2015 conference <http://scipy2015.scipy.org/ehome/index.php?eventid=115969&>. Other palettes available in this library have been derived from 'RColorBrewer' <https://CRAN.R-project.org/package=RColorBrewer> and 'colorspace' <https://CRAN.R-project.org/package=colorspace> packages.
Author: David Cooley [aut, cre]
Maintainer: David Cooley <dcooley@symbolix.com.au>

Diff between colourvalues versions 0.2.1 dated 2018-12-19 and 0.2.2 dated 2019-01-17

 DESCRIPTION                                       |   10 +-
 MD5                                               |   58 +++++++------
 NEWS.md                                           |    7 +
 R/colour_values_hex.R                             |   10 +-
 R/colour_values_rgb.R                             |   22 ++---
 README.md                                         |   92 ++++++++++++++--------
 inst/include/colourvalues/alpha/alpha.hpp         |    4 
 inst/include/colourvalues/colours/colours_hex.hpp |    3 
 inst/include/colourvalues/format/format.hpp       |    8 +
 man/colour_values.Rd                              |   10 +-
 man/colour_values_rgb.Rd                          |   14 ++-
 man/figures/README-unnamed-chunk-10-1.png         |binary
 man/figures/README-unnamed-chunk-11-1.png         |binary
 man/figures/README-unnamed-chunk-12-1.png         |binary
 man/figures/README-unnamed-chunk-13-1.png         |binary
 man/figures/README-unnamed-chunk-14-1.png         |binary
 man/figures/README-unnamed-chunk-15-1.png         |binary
 man/figures/README-unnamed-chunk-16-1.png         |binary
 man/figures/README-unnamed-chunk-17-1.png         |binary
 man/figures/README-unnamed-chunk-18-1.png         |only
 man/figures/README-unnamed-chunk-19-1.png         |binary
 man/figures/README-unnamed-chunk-22-1.png         |binary
 man/figures/README-unnamed-chunk-23-1.png         |binary
 man/figures/README-unnamed-chunk-5-1.png          |binary
 man/figures/README-unnamed-chunk-6-1.png          |binary
 man/figures/README-unnamed-chunk-7-1.png          |binary
 man/figures/README-unnamed-chunk-8-1.png          |binary
 man/figures/README-unnamed-chunk-9-1.png          |binary
 tests/testthat/test-alpha.R                       |only
 tests/testthat/test-colour_values_hex.R           |    7 +
 tests/testthat/test-summaries.R                   |   10 ++
 31 files changed, 168 insertions(+), 87 deletions(-)

More information about colourvalues at CRAN
Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.