Wed, 30 Jan 2019

Package PTE updated to version 1.7 with previous version 1.6 dated 2017-10-10

Title: Personalized Treatment Evaluator
Description: We provide inference for personalized medicine models. Namely, we answer the questions: (1) how much better does a purported personalized recommendation engine for treatments do over a business-as-usual approach and (2) is that difference statistically significant?
Author: Adam Kapelner, Alina Levine & Justin Bleich
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

Diff between PTE versions 1.6 dated 2017-10-10 and 1.7 dated 2019-01-30

 CHANGELOG                            |   39 -
 DESCRIPTION                          |    8 
 MD5                                  |   22 
 R/bootstrap_inference.R              | 1142 ++++++++++++++++++-----------------
 R/create_PTE_results_object.R        |  370 +++++------
 R/plot.R                             |   96 +-
 R/print_and_summary.R                |  189 +++--
 R/zzz.R                              |    4 
 man/PTE_bootstrap_inference.Rd       |    3 
 man/plot.PTE_bootstrap_results.Rd    |    2 
 man/print.PTE_bootstrap_results.Rd   |    2 
 man/summary.PTE_bootstrap_results.Rd |    2 
 12 files changed, 971 insertions(+), 908 deletions(-)

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New package ROCit with initial version 1.1.1
Package: ROCit
Type: Package
Title: Performance Assessment of Binary Classifier with Visualization
Version: 1.1.1
Date: 2019-01-21
Authors@R: c(person("Md Riaz Ahmed", "Khan", email = "mdriazahmed.khan@jacks.sdstate.edu", role = c("aut", "cre")), person("Thomas", "Brandenburger", email = "thomas.brandenburger@sdstate.edu", role = "aut" ))
Description: Sensitivity (or recall or true positive rate), false positive rate, specificity, precision (or positive predictive value), negative predictive value, misclassification rate, accuracy, F-score- these are popular metrics for assessing performance of binary classifier for certain threshold. These metrics are calculated at certain threshold values. Receiver operating characteristic (ROC) curve is a common tool for assessing overall diagnostic ability of the binary classifier. Unlike depending on a certain threshold, area under ROC curve (also known as AUC), is a summary statistic about how well a binary classifier performs overall for the classification task. ROCit package provides flexibility to easily evaluate threshold-bound metrics. Also, ROC curve, along with AUC, can be obtained using different methods, such as empirical, binormal and non-parametric. ROCit encompasses a wide variety of methods for constructing confidence interval of ROC curve and AUC. ROCit also features the option of constructing empirical gains table, which is a handy tool for direct marketing. The package offers options for commonly used visualization, such as, ROC curve, KS plot, lift plot. Along with in-built default graphics setting, there are rooms for manual tweak by providing the necessary values as function arguments. ROCit is a powerful tool offering a range of things, yet it is very easy to use.
Imports: stats, graphics
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-21 16:38:04 UTC; Riaz
Author: Md Riaz Ahmed Khan [aut, cre], Thomas Brandenburger [aut]
Maintainer: Md Riaz Ahmed Khan <mdriazahmed.khan@jacks.sdstate.edu>
Repository: CRAN
Date/Publication: 2019-01-30 23:23:35 UTC

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Package QuantumOps updated to version 2.3 with previous version 2.2 dated 2019-01-17

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, creates arbitrarily controlled versions of all 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. Simulates the training of a quantum neural network developed by Schuld (2018) which can classify the MNIST dataset.
Author: Salonik Resch
Maintainer: Salonik Resch <resc0059@umn.edu>

Diff between QuantumOps versions 2.2 dated 2019-01-17 and 2.3 dated 2019-01-30

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 22 files changed, 48 insertions(+), 28 deletions(-)

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New package plot3logit with initial version 1.0.0
Package: plot3logit
Type: Package
Title: Ternary Plots for Trinomial Regression Models
Version: 1.0.0
Authors@R: c( person('Flavio', 'Santi', email = 'flavio.santi@univr.it', role = c('cre', 'aut'), comment = c(ORCID = "0000-0002-2014-1981")), person('Maria Michela', 'Dickson', email = 'mariamichela.dickson@unitn.it', role = c('aut'), comment = c(ORCID = "0000-0002-4307-0469")), person('Giuseppe', 'Espa', email = 'giuseppe.espa@unitn.it', role = c('aut'), comment = c(ORCID = "0000-0002-0331-3630")))
Author: Flavio Santi [cre, aut] (<https://orcid.org/0000-0002-2014-1981>), Maria Michela Dickson [aut] (<https://orcid.org/0000-0002-4307-0469>), Giuseppe Espa [aut] (<https://orcid.org/0000-0002-0331-3630>)
Maintainer: Flavio Santi <flavio.santi@univr.it>
BugReports: https://github.com/f-santi/plot3logit
Description: An implementation of the ternary plot for interpreting regression coefficients of trinomial regression models, as proposed in Santi, Dickson and Espa (2018) <doi:10.1080/00031305.2018.1442368>. Ternary plots are drawn using either 'ggtern' package (based on 'ggplot2') or 'Ternary' package (based on standard graphics).
Depends: R (>= 3.1), ggtern (>= 3.1.0), Ternary (>= 1.0.1)
Imports: magrittr (>= 1.5), ggplot2 (>= 3.1.0), graphics, reshape2 (>= 1.4.3), stats, utils
Suggests: MASS (>= 7.3-51), mlogit, nnet
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Encoding: UTF-8
RoxygenNote: 6.1.0
Repository: CRAN
Date: 2019-01-21
Packaged: 2019-01-21 17:00:51 UTC; flavio
Date/Publication: 2019-01-30 23:10:10 UTC

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New package ordinalLBM with initial version 1.0
Package: ordinalLBM
Title: Co-Clustering of Ordinal Data via Latent Continuous Random Variables
Version: 1.0
Author: Marco Corneli, Charles Bouveyron and Pierre Latouche
Maintainer: Marco Corneli <marcogenni@gmail.com>
Description: It implements functions for simulation and estimation of the ordinal latent block model (OLBM), as described in Corneli, Bouveyron and Latouche (2019).
Imports: reshape2, RColorBrewer
Depends: R (>= 3.4.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-01-21 16:23:25 UTC; marco
Repository: CRAN
Date/Publication: 2019-01-30 23:20:04 UTC

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New package nhdR with initial version 0.5.0
Package: nhdR
Title: Tools for working with the National Hydrography Dataset
Version: 0.5.0
Authors@R: person("Joseph", "Stachelek", email = "stachel2@msu.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5924-2464"))
Description: Tools for working with the National Hydrography Dataset, with functions for querying, downloading, and networking both the NHD <https://www.usgs.gov/core-science-systems/ngp/national-hydrography> and NHDPlus <http://www.horizon-systems.com/nhdplus> datasets.
URL: https://github.com/jsta/nhdR
BugReports: https://github.com/jsta/nhdR/issues
Depends: R (>= 3.3), maps
License: GPL
Imports: rappdirs, rgdal, sf, httr, rvest, xml2, foreign, ggplot2, gdalUtils, rlang, dplyr, curl, units, stringr, memoise, purrr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, wikilake, sp, rgeos, testthat, covr, RCurl
VignetteBuilder: knitr
SystemRequirements: 7-zip command line tool (7z)
Language: en-US
NeedsCompilation: no
Packaged: 2019-01-21 17:37:55 UTC; jose
Author: Joseph Stachelek [aut, cre] (<https://orcid.org/0000-0002-5924-2464>)
Maintainer: Joseph Stachelek <stachel2@msu.edu>
Repository: CRAN
Date/Publication: 2019-01-30 23:11:04 UTC

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New package MetabolicSurv with initial version 1.0.0
Package: MetabolicSurv
Type: Package
Title: A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature
Version: 1.0.0
Authors@R: c( person("Olajumoke Evangelina","Owokotomo",email="olajumoke.owokotomo@uhasselt.be",role=c("aut","cre")), person("Ziv","Shkedy",email="ziv.shkedy@uhasselt.be",role="aut"))
Maintainer: Olajumoke Evangelina Owokotomo <olajumoke.owokotomo@uhasselt.be>
Description: An approach to identifies metabolic biomarker signature for metabolic data by discovering predictive metabolite for predicting survival and classifying patients into risk groups. Classifiers are constructed as a linear combination of predictive/important metabolites, prognostic factors and treatment effects if necessary. Several methods were implemented to reduce the metabolomics matrix such as the principle component analysis of Wold Svante et al. (1987) <doi:10.1016/0169-7439(87)80084-9> , the LASSO method by Robert Tibshirani (1998) <doi:10.1002/(SICI)1097-0258(19970228)16:4%3C385::AID-SIM380%3E3.0.CO;2-3>, the elastic net approach by Hui Zou and Trevor Hastie (2005) <doi:10.1111/j.1467-9868.2005.00503.x>. Sensitivity analysis on the quantile used for the classification can also be accessed to check the deviation of the classification group based on the quantile specified. Large scale cross validation can be performed in order to investigate the mostly selected predictive metabolites and for internal validation. During the evaluation process, validation is accessed using the hazard ratios (HR) distribution of the test set and inference is mainly based on resampling and permutations technique.
URL: https://github.com/OlajumokeEvangelina/MetabolicSurv
BugReports: https://github.com/OlajumokeEvangelina/MetabolicSurv/issues/new
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: superpc, glmnet, matrixStats, survminer, survival, rms, tidyr, pls, Rdpack, methods, stats, gplots, ggplot2
RdMacros: Rdpack
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-21 06:25:34 UTC; Olajumoke
Author: Olajumoke Evangelina Owokotomo [aut, cre], Ziv Shkedy [aut]
Repository: CRAN
Date/Publication: 2019-01-30 23:16:23 UTC

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Package geoknife updated to version 1.6.3 with previous version 1.6.1 dated 2018-08-22

Title: Web-Processing of Large Gridded Datasets
Description: Processes gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store large datasets that are reliably hosted on the Internet. The package provides access to several data subset and summarization algorithms that are available on remote web processing servers.
Author: Jordan Read [aut, cre], Jordan Walker [aut], Alison Appling [aut], David Blodgett [aut], Emily Read [aut], Luke Winslow [aut], Lindsay Carr [aut], David Watkins [aut]
Maintainer: Jordan Read <jread@usgs.gov>

Diff between geoknife versions 1.6.1 dated 2018-08-22 and 1.6.3 dated 2019-01-30

 DESCRIPTION                             |   10 +-
 MD5                                     |   32 ++++-----
 NEWS.md                                 |    7 --
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 tests/testthat/00_create_test_data.R    |  108 ++++++++++++++++----------------
 tests/testthat/test-geoknife_setters.R  |    2 
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 tests/testthat/test-knife_shorthand.R   |    1 
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 17 files changed, 180 insertions(+), 97 deletions(-)

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New package cleanerR with initial version 0.1.0
Package: cleanerR
Type: Package
Title: How to Handle your Missing Data
Version: 0.1.0
Author: Rafael Silva Pereira
Maintainer: Rafael Silva Pereira <r.s.p.models@gmail.com>
Description: How to deal with missing data?Based on the concept of almost functional dependencies, a method is proposed to fill missing data, as well as help you see what data is missing. The user can specify a measure of error and how many combinations he wish to test the dependencies against, the closer to the length of the dataset, the more precise. But the higher the number, the more time it will take for the process to finish. If the program cannot predict with the accuracy determined by the user it shall not fill the data, the user then can choose to increase the error or deal with the data another way.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0.9000
Imports: plyr
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-21 16:50:49 UTC; rpereira
Repository: CRAN
Date/Publication: 2019-01-30 23:23:32 UTC

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Package busdater updated to version 0.2.0 with previous version 0.1.0 dated 2019-01-17

Title: Standard Date Calculations for Business
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.
Author: Mick Mioduszewski [aut, cre]
Maintainer: Mick Mioduszewski <mick@mioduszewski.net>

Diff between busdater versions 0.1.0 dated 2019-01-17 and 0.2.0 dated 2019-01-30

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 24 files changed, 410 insertions(+), 208 deletions(-)

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Package uptasticsearch updated to version 0.3.1 with previous version 0.3.0 dated 2018-06-19

Title: Get Data Frame Representations of 'Elasticsearch' Results
Description: 'Elasticsearch' is an open-source, distributed, document-based datastore (<https://www.elastic.co/products/elasticsearch>). It provides an 'HTTP' 'API' for querying the database and extracting datasets, but that 'API' was not designed for common data science workflows like pulling large batches of records and normalizing those documents into a data frame that can be used as a training dataset for statistical models. 'uptasticsearch' provides an interface for 'Elasticsearch' that is explicitly designed to make these data science workflows easy and fun.
Author: James Lamb [aut, cre], Nick Paras [aut], Austin Dickey [aut], Michael Frasco [ctb], Weiwen Gu [ctb], Will Dearden [ctb], Uptake Technologies Inc. [cph]
Maintainer: James Lamb <james.lamb@uptake.com>

Diff between uptasticsearch versions 0.3.0 dated 2018-06-19 and 0.3.1 dated 2019-01-30

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 uptasticsearch-0.3.1/uptasticsearch/tests/testthat/test-repo_characteristics.R |    1 
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 29 files changed, 471 insertions(+), 436 deletions(-)

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Package xSub updated to version 2.0.2 with previous version 2.0.1 dated 2018-10-13

Title: Cross-National Data on Sub-National Violence
Description: Tools to download and merge data files on sub-national conflict, violence and protests from <http://www.x-sub.org>.
Author: Yuri Zhukov [cre], Christian Davenport [aut], Nadiya Kostyuk [aut]
Maintainer: Yuri Zhukov <zhukov@umich.edu>

Diff between xSub versions 2.0.1 dated 2018-10-13 and 2.0.2 dated 2019-01-30

 DESCRIPTION           |    8 ++++----
 MD5                   |   10 +++++-----
 R/get_xSub.R          |   25 +++++++++++++++++++++++--
 R/get_xSub_multi.R    |   19 +++++++++++++++++--
 man/get_xSub.Rd       |   12 ++++++------
 man/get_xSub_multi.Rd |    8 ++++----
 6 files changed, 59 insertions(+), 23 deletions(-)

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New package vegawidget with initial version 0.1.0
Package: vegawidget
Version: 0.1.0
Title: Htmlwidget Renderer for Vega and Vega-Lite
Description: Vega and Vega-Lite parse text in JSON notation to render chart-specifications into HTML. This package is used to facilitate the rendering. It also provides a means to interact with signals, events, and datasets in a Vega chart using JavaScript or Shiny.
Authors@R: c( person( given = "Ian", family = "Lyttle", email = "ian.lyttle@schneider-electric.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9962-4849") ), person("Vega/Vega-Lite Developers", role = c("aut")), person( given = "Alicia", family = "Schep", email = "aschep@gmail.com", role = c("ctb"), comment = c(ORCID = "orcid.org/0000-0002-3915-0618") ), person( given = "Stuart", family = "Lee", email = "lee.s@wehi.edu.au", role = c("ctb") ), person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("ctb"), comment = c(ORCID = "0000-0003-4757-117X") ), person("Kanit", "Wongsuphasawat", comment = "Vega/Vega-Lite library", role = c("ctb")), person("Dominik", "Moritz", comment = "Vega/Vega-Lite library", role = c("ctb")), person("Arvind", "Satyanarayan", comment = "Vega/Vega-Lite library", role = c("ctb")), person("Jeffrey", "Heer", comment = "Vega/Vega-Lite library", role = c("ctb")), person("Mike", "Bostock", comment = "D3 library", role = c("ctb")), person("David", "Frank", comment = "node-fetch library", role = c("ctb")) )
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
URL: https://github.com/vegawidget/vegawidget
BugReports: https://github.com/vegawidget/vegawidget/issues
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
Imports: jsonlite, htmlwidgets, assertthat, rlang, glue, magrittr, shiny, htmltools
Suggests: knitr, rmarkdown, listviewer, httr, testthat, yaml, fs, gistr, webshot, magick, usethis, whisker, crayon, clipr, desc, clisymbols, shinytest, readr, tibble, lubridate, learnr, processx, rsvg, dplyr, png, conflicted, here
NeedsCompilation: no
Packaged: 2019-01-21 01:43:00 UTC; ijlyttle
Author: Ian Lyttle [aut, cre] (<https://orcid.org/0000-0001-9962-4849>), Vega/Vega-Lite Developers [aut], Alicia Schep [ctb] (<https://orcid.org/0000-0002-3915-0618>), Stuart Lee [ctb], Hadley Wickham [ctb] (<https://orcid.org/0000-0003-4757-117X>), Kanit Wongsuphasawat [ctb] (Vega/Vega-Lite library), Dominik Moritz [ctb] (Vega/Vega-Lite library), Arvind Satyanarayan [ctb] (Vega/Vega-Lite library), Jeffrey Heer [ctb] (Vega/Vega-Lite library), Mike Bostock [ctb] (D3 library), David Frank [ctb] (node-fetch library)
Maintainer: Ian Lyttle <ian.lyttle@schneider-electric.com>
Repository: CRAN
Date/Publication: 2019-01-30 18:20:03 UTC

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New package unifed with initial version 1.0
Package: unifed
Title: The Unifed Distribution
Version: 1.0
Date: 2018-12-23
Description: Introduced in Quijano Xacur (2018) <arXiv:1812.00251>. This package contains the density, distribution, quantile and random generation functions for the unifed. It also contains functions for the unifed family and quasifamily that can be used with the glm() function.
Depends: R (>= 3.1), methods
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Author: Oscar Alberto Quijano Xacur [aut,cre]
Maintainer: Oscar Alberto Quijano Xacur <oscar.quijano@use.startmail.com>
NeedsCompilation: yes
Packaged: 2019-01-21 15:22:43 UTC; oscar
Repository: CRAN
Date/Publication: 2019-01-30 18:40:03 UTC

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Package taxotools updated to version 0.0.7 with previous version 0.0.5 dated 2019-01-23

Title: Tools to Handle Taxonomic Lists
Description: Some tools to work with taxonomic name lists.
Author: Vijay Barve [aut, cre] (<https://orcid.org/0000-0002-4852-2567>)
Maintainer: Vijay Barve <vijay.barve@gmail.com>

Diff between taxotools versions 0.0.5 dated 2019-01-23 and 0.0.7 dated 2019-01-30

 DESCRIPTION        |   10 +++++-----
 MD5                |   18 +++++++++---------
 NEWS               |    2 +-
 R/BuildCSList.R    |    3 ++-
 R/ExpandSyn.R      |    6 ++++--
 R/GetITISSyn.R     |    2 +-
 R/GetWikiSyn.R     |    2 +-
 man/BuildCSList.Rd |    2 ++
 man/GetITISSyn.Rd  |    2 +-
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 10 files changed, 27 insertions(+), 22 deletions(-)

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New package swephR with initial version 0.1.3
Package: swephR
Type: Package
Title: High Precision Swiss Ephemeris
Version: 0.1.3
Authors@R: c( person("Ralf", "Stubner", email = "ralf.stubner@gmail.com", role = c("aut", "cre")), person("Victor", "Reijs", role = "aut"), person("Authors and copyright holder of the Swiss Ephemeris", role = c("aut", "cph"), comment = "see LICENSE for details"))
Description: The Swiss Ephemeris is a high precision ephemeris based upon the DE431 ephemerides from NASA's JPL. It covers the time range 13201 BC to AD 17191. This package uses the semi-analytic theory by Steve Moshier. For faster and more accurate calculations, the compressed Swiss Ephemeris data is available in the 'swephRdata' package. To access this data package, run 'install.packages("swephRdata", repos = "https://rstub.github.io/drat/", type = "source")'. The size of the 'swephRdata' package is approximately 115 MB. The user can also use the original JPL DE431 data.
License: AGPL | file LICENSE
Imports: Rcpp (>= 0.12.18)
LinkingTo: Rcpp
RoxygenNote: 6.1.1
Suggests: testthat, swephRdata, knitr, rmarkdown
Encoding: UTF-8
URL: https://github.com/rstub/swephR/, http://www.astro.com/swisseph/
BugReports: https://github.com/rstub/swephR/issues/
Additional_repositories: https://rstub.github.io/drat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-01-20 22:34:38 UTC; ralf
Author: Ralf Stubner [aut, cre], Victor Reijs [aut], Authors and copyright holder of the Swiss Ephemeris [aut, cph] (see LICENSE for details)
Maintainer: Ralf Stubner <ralf.stubner@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-30 18:20:08 UTC

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New package simcdm with initial version 0.0.5
Package: simcdm
Type: Package
Title: Simulate Cognitive Diagnostic Model (CDM) Data
Version: 0.0.5
Authors@R: c(person("James Joseph", "Balamuta", email = "balamut2@illinois.edu", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0003-2826-8458")), person("Steven Andrew", "Culpepper", email = "sculpepp@illinois.edu", role = c("aut", "cph"), comment = c(ORCID = "0000-0003-4226-6176") ), person("Aaron", "Hudson", email = "awhudson@uw.edu", role = c("ctb", "cph") ) )
Description: Provides efficient R and 'C++' routines to simulate cognitive diagnostic model data for Deterministic Input, Noisy "And" Gate (DINA) and reduced Reparameterized Unified Model (rRUM) from Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>, Culpepper (2015) <doi:10.3102/1076998615595403>, and de la Torre (2009) <doi:10.3102/1076998607309474>.
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.200)
URL: https://github.com/tmsalab/simcdm
BugReports: https://github.com/tmsalab/simcdm/issues
License: GPL (>= 2)
RoxygenNote: 6.1.1
Encoding: UTF-8
Suggests: testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-01-20 22:07:36 UTC; ronin
Author: James Joseph Balamuta [aut, cre, cph] (<https://orcid.org/0000-0003-2826-8458>), Steven Andrew Culpepper [aut, cph] (<https://orcid.org/0000-0003-4226-6176>), Aaron Hudson [ctb, cph]
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>
Repository: CRAN
Date/Publication: 2019-01-30 18:20:11 UTC

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New package secsse with initial version 1.0.0
Package: secsse
Title: Several Examined and Concealed States-Dependent Speciation and Extinction
Version: 1.0.0
Date: 2019-01-19
License: GPL-3
Authors@R: c( person("Leonel", "Herrera Alsina", email = "leonelhalsina@gmail.com", role = "cre"), person("Paul", "van Els", email = "paulvanels@gmail.com", role = "aut"), person("Rampal", "Etienne", email = "r.s.etienne@rug.nl", role = "aut"))
Description: Combines the features of HiSSE and MuSSE to simultaneously infer state-dependent diversification across two or more traits or states while accounting for the role of a possible concealed trait. See Herrera-Alsina et al. Systematic Biology, in press <DOI:10.1093/sysbio/syy057>.
Depends: R (>= 3.5.0)
Imports: utils, DDD (> 3.0), ape, foreach, doParallel, apTreeshape, phylobase, geiger, deSolve
Suggests: testthat, testit, knitr, rmarkdown
Enhances: doMC
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Packaged: 2019-01-19 16:12:13 UTC; rampa
Author: Leonel Herrera Alsina [cre], Paul van Els [aut], Rampal Etienne [aut]
Maintainer: Leonel Herrera Alsina <leonelhalsina@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-30 18:40:06 UTC

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New package pointdexter with initial version 0.1.0
Package: pointdexter
Type: Package
Title: Labels Points Inside Polygons
Date: 2019-01-20
Version: 0.1.0
Authors@R: person("Cristian E.", "Nuno", email = "cenuno@syr.edu", role = c("aut", "cre"))
Maintainer: Cristian E. Nuno <cenuno@syr.edu>
Description: Labels longitudinal and latitudinal coordinates located inside a polygon. For a singular polygon, the label is a logical vector of TRUE and FALSE values. For multiple polygons, the label is a character vector based on the names of each polygon. The package is designed to work with both sf and SpatialPolygonsDataFrame objects.
URL: https://cenuno.github.io/pointdexter/, https://github.com/cenuno/pointdexter
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.3.0)
Imports: sp (>= 1.3-1), splancs (>= 2.01-40)
Suggests: knitr (>= 1.21), rmarkdown (>= 1.11), testthat (>= 2.0.1)
Enhances: sf (>= 0.7)
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Language: en-US
BugReports: https://github.com/cenuno/pointdexter/issues
NeedsCompilation: no
Packaged: 2019-01-20 19:14:24 UTC; cristiannuno
Author: Cristian E. Nuno [aut, cre]
Repository: CRAN
Date/Publication: 2019-01-30 18:10:06 UTC

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Package munsellinterpol updated to version 2.2-1 with previous version 2.1-3 dated 2018-07-27

Title: Interpolate Munsell Renotation Data from Hue/Chroma to CIE/RGB
Description: Methods for interpolating data in the Munsell color system following the ASTM D-1535 standard. Hues and chromas with decimal values can be interpolated and converted to/from the Munsell color system and CIE xyY, CIE XYZ, CIE Lab, CIE Luv, or RGB. Includes ISCC-NBS color block lookup. Based on the work by Paul Centore, "The Munsell and Kubelka-Munk Toolbox".
Author: Jose Gama [aut, trl], Paul Centore [aut, cph], Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between munsellinterpol versions 2.1-3 dated 2018-07-27 and 2.2-1 dated 2019-01-30

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 vignettes/lociHC.rnw                |    2 -
 16 files changed, 101 insertions(+), 79 deletions(-)

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Package metScanR updated to version 1.2.1 with previous version 1.2.0 dated 2018-03-19

Title: Find, Map, and Gather Environmental Data and Metadata
Description: A tool for locating, mapping, and gathering environmental data and metadata, worldwide. Users can search for and filter metadata from > 157,000 environmental monitoring stations among 219 countries/territories and >20 networks/organizations via elevation, location, active dates, elements measured (e.g., temperature, precipitation), country, network, and/or known identifier. Future updates to the package will allow the user to obtain datasets from stations within the database.
Author: Josh Roberti [aut, cre], Cody Flagg [aut], Lee Stanish [aut], Robert Lee [aut]
Maintainer: Josh Roberti <jaroberti87@gmail.com>

Diff between metScanR versions 1.2.0 dated 2018-03-19 and 1.2.1 dated 2019-01-30

 DESCRIPTION             |   20 ++++++++------------
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 15 files changed, 64 insertions(+), 55 deletions(-)

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New package GMMAT with initial version 1.0.3
Package: GMMAT
Version: 1.0.3
Date: 2019-01-20
Title: Generalized Linear Mixed Model Association Tests
Author: Han Chen, Matthew P. Conomos
Maintainer: Han Chen <Han.Chen.2@uth.tmc.edu>
Description: Perform association tests using generalized linear mixed models (GLMMs) in genome-wide association studies (GWAS) and sequencing association studies. First, GMMAT fits a GLMM with covariate adjustment and random effects to account for population structure and familial or cryptic relatedness. For GWAS, GMMAT performs score tests for each genetic variant as proposed in Chen et al. (2016) <DOI:10.1016/j.ajhg.2016.02.012>. For candidate gene studies, GMMAT can also perform Wald tests to get the effect size estimate for each genetic variant. For rare variant analysis from sequencing association studies, GMMAT performs the variant Set Mixed Model Association Tests (SMMAT) as proposed in Chen et al. (2019) <DOI:10.1016/j.ajhg.2018.12.012>, including the burden test, the sequence kernel association test (SKAT), SKAT-O and an efficient hybrid test of the burden test and SKAT, based on user-defined variant sets.
License: GPL-3
Copyright: See COPYRIGHTS for details.
Imports: Rcpp, SeqArray, SeqVarTools, CompQuadForm, foreach, parallel
Suggests: doMC, testthat
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Depends: R (>= 3.2.0)
Packaged: 2019-01-20 18:29:35 UTC; hchen
Repository: CRAN
Date/Publication: 2019-01-30 18:23:42 UTC

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New package FlickrAPI with initial version 0.1.0.0
Package: FlickrAPI
Title: Access to Flickr API
Version: 0.1.0.0
Authors@R: person("Koki", "Ando", email = "koki.25.ando@gmail.com", role = c("aut", "cre"))
Description: Provides an interface to the Flickr API <https://www.flickr.com/services/api/> and allows R users to download data on Flickr.
Depends: R (>= 3.1)
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, RCurl, jsonlite, stringr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-21 03:36:54 UTC; KokiAndo
Author: Koki Ando [aut, cre]
Maintainer: Koki Ando <koki.25.ando@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-30 18:13:32 UTC

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New package ezplot with initial version 0.2.2
Package: ezplot
Type: Package
Title: Functions for Common Chart Types
Version: 0.2.2
Author: Wojtek Kostelecki
Maintainer: Wojtek Kostelecki <wojtek.kostelecki@gmail.com>
Description: Wrapper for the ggplot2 package that creates a variety of common charts (e.g. bar, line, area, ROC, waterfall, pie) while aiming to reduce typing.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr, forcats, ggplot2, magrittr, rlang
RoxygenNote: 6.1.1
Suggests: knitr, lubridate, methods, rmarkdown, ROCR, testthat, tibble, tidyr, covr
NeedsCompilation: no
Packaged: 2019-01-20 19:55:16 UTC; wkostelecki
Repository: CRAN
Date/Publication: 2019-01-30 18:03:17 UTC

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New package dominanceanalysis with initial version 1.0.0
Package: dominanceanalysis
Title: Dominance Analysis
Date: 2019-01-12
Description: Dominance analysis is a method that allows to compare the relative importance of predictors in multiple regression models: ordinary least squares, generalized linear models and hierarchical linear models. The main principles and methods of dominance analysis are described in Budescu, D. V. (1993) <doi:10.1037/0033-2909.114.3.542> and Azen, R., & Budescu, D. V. (2003) <doi:10.1037/1082-989X.8.2.129> for ordinary least squares regression. Subsequently, the extensions for multivariate regression, logistic regression and hierarchical linear models were described in Azen, R., & Budescu, D. V. (2006) <doi:10.3102/10769986031002157>, Azen, R., & Traxel, N. (2009) <doi:10.3102/1076998609332754> and Luo, W., & Azen, R. (2013) <doi:10.3102/1076998612458319>, respectively.
Authors@R: c( person("Claudio", "Bustos Navarrete", email = "clbustos@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3478-9858")), person("Filipa", "Coutinho Soares", email = "filipa.mco.soares@gmail.com", role = c("aut")))
Version: 1.0.0
Depends: R (>= 3.0.2)
License: GPL-2
LazyData: true
Imports: methods, stats
Suggests: lme4, boot, testthat, car, heplots, covr, knitr,rmarkdown,caTools,pscl
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-20 17:02:27 UTC; cdx
Author: Claudio Bustos Navarrete [aut, cre] (<https://orcid.org/0000-0003-3478-9858>), Filipa Coutinho Soares [aut]
Maintainer: Claudio Bustos Navarrete <clbustos@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-30 18:03:21 UTC

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New package concurve with initial version 1.0.1
Package: concurve
Type: Package
Title: Computes and Plots Confidence (Consonance) Intervals, P-Values, and S-Values to Form Consonance Curves (Functions)
Version: 1.0.1
Authors@R: c( person("Zad", "Chow", , "zad@lesslikely.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1545-8199") ), person("Andrew", "Vigotsky", role = "aut", comment = c(ORCID = "0000-0003-3166-0688") ) )
Maintainer: Zad Chow <zad@lesslikely.com>
Description: Allows one to compute confidence (compatibility/consonance) intervals for various statistical tests along with their corresponding P-values and S-values. The intervals can be plotted to create consonance functions allowing one to see what effect sizes are compatible with the test model at various compatibility levels rather than being limited to one interval estimate such as 95%. These methods are discussed by Poole C. (1987) <doi:10.2105/AJPH.77.2.195>, Schweder T, Hjort NL. (2002) <doi:10.1111/1467-9469.00285>, Singh K, Xie M, Strawderman WE. (2007) <arXiv:0708.0976>, Rothman KJ, Greenland S, Lash TL. (2012, ISBN:9781451190052), and Amrhein V, Trafimow D, Greenland S. (2018) <doi:10.7287/peerj.preprints.26857v4>.
Imports: ggplot2, metafor
Suggests: testthat, knitr
License: GPL-3 | file LICENSE
URL: https://data.lesslikely.com/concurve/, https://github.com/Zadchow/concurve, https://www.lesslikely.com/
BugReports: https://github.com/Zadchow/concurve/issues
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-21 04:40:39 UTC; Zad
Author: Zad Chow [aut, cre] (<https://orcid.org/0000-0003-1545-8199>), Andrew Vigotsky [aut] (<https://orcid.org/0000-0003-3166-0688>)
Repository: CRAN
Date/Publication: 2019-01-30 18:23:38 UTC

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Package BayesMallows updated to version 0.3.0 with previous version 0.2.0 dated 2018-11-30

Title: Bayesian Preference Learning with the Mallows Rank Model
Description: An implementation of the Bayesian version of the Mallows rank model (Vitelli et al., Journal of Machine Learning Research, 2018 <http://jmlr.org/papers/v18/15-481.html>; Crispino et al., to appear in Annals of Applied Statistics). Both Cayley, footrule, Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the posterior distributions of parameters are provided. The package also provides functions for estimating the partition function (normalizing constant) of the Mallows rank model, both with the importance sampling algorithm of Vitelli et al. and asymptotic approximation with the IPFP algorithm (Mukherjee, Annals of Statistics, 2016 <doi:10.1214/15-AOS1389>).
Author: Oystein Sorensen, Valeria Vitelli, Marta Crispino, Qinghua Liu
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

Diff between BayesMallows versions 0.2.0 dated 2018-11-30 and 0.3.0 dated 2019-01-30

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New package bayesCT with initial version 0.99.0
Package: bayesCT
Type: Package
Title: Simulation and Analysis of Adaptive Bayesian Clinical Trials
Version: 0.99.0
Authors@R: c(person(given = "Thevaa", family = "Chandereng", role = c("aut", "cre", "cph"), email = "chandereng@wisc.edu", comment = c(ORCID = "0000-0003-4078-9176")), person("Donald", "Musgrove", email = "donald.r.musgrove@medtronic.com", role = c("aut", "cph")), person("Tarek", "Haddad", email = "tarek.d.haddad@medtronic.com", role = c("aut", "cph")), person("Graeme", "Hickey", email = "graeme.l.hickey@medtronic.com", role = c("aut", "cph")), person("Timothy", "Hanson", email = "tim.hanson2@medtronic.com", role = c("aut", "cph")), person("Theodore", "Lystig", email = "theodore.lystig@medtronic.com", role = c("aut", "cph")))
Description: Simulation and analysis of Bayesian adaptive clinical trial, incorporates historical data and allows early stopping for futility or early success.
LazyLoad: yes
License: GPL-3
NeedsCompilation: no
URL: https://github.com/thevaachandereng/bayesCT/
BugReports: https://github.com/thevaachandereng/bayesCT/issues/
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, rmarkdown, pkgdown
VignetteBuilder: knitr
Imports: tidyr, dplyr, knitr, bayesDP, parallel, purrr, msm, magrittr, devtools
Packaged: 2019-01-20 20:46:53 UTC; thevaasiinenchandereng
Author: Thevaa Chandereng [aut, cre, cph] (<https://orcid.org/0000-0003-4078-9176>), Donald Musgrove [aut, cph], Tarek Haddad [aut, cph], Graeme Hickey [aut, cph], Timothy Hanson [aut, cph], Theodore Lystig [aut, cph]
Maintainer: Thevaa Chandereng <chandereng@wisc.edu>
Repository: CRAN
Date/Publication: 2019-01-30 18:13:27 UTC

More information about bayesCT at CRAN
Permanent link

Package spacesRGB updated to version 1.2-2 with previous version 1.1-1 dated 2018-07-19

Title: Standard and User-Defined RGB Color Spaces, with Conversion Between RGB and CIE XYZ
Description: Standard RGB spaces included are sRGB, 'Adobe' RGB, 'ProPhoto' RGB, BT.709, and others. User-defined RGB spaces are also possible. There is partial support for ACES Color workflows.
Author: Glenn Davis [aut,cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between spacesRGB versions 1.1-1 dated 2018-07-19 and 1.2-2 dated 2019-01-30

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Package raster updated to version 2.8-19 with previous version 2.8-4 dated 2018-11-03

Title: Geographic Data Analysis and Modeling
Description: Reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions. Processing of very large files is supported.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Jacob van Etten [ctb], Michael Sumner [ctb], Joe Cheng [ctb], Andrew Bevan [ctb], Roger Bivand [ctb], Lorenzo Busetto [ctb], Mort Canty [ctb], David Forrest [ctb], Aniruddha Ghosh [ctb], Duncan Golicher [ctb], Josh Gray [ctb], Jonathan A. Greenberg [ctb], Paul Hiemstra [ctb], Institute for Mathematics Applied Geosciences [cph], Charles Karney [ctb], Matteo Mattiuzzi [ctb], Steven Mosher [ctb], Jakub Nowosad [ctb], Edzer Pebesma [ctb], Oscar Perpinan Lamigueiro [ctb], Etienne B. Racine [ctb], Barry Rowlingson [ctb], Ashton Shortridge [ctb], Bill Venables [ctb], Rafael Wueest [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package MazamaSpatialUtils updated to version 0.6.1 with previous version 0.6.0 dated 2019-01-27

Title: Spatial Data Download and Utility Functions
Description: A suite of conversion scripts to create internally standardized spatial polygons data frames. Utility scripts use these data sets to return values such as country, state, timezone, watershed, etc. associated with a set of longitude/latitude pairs. (They also make cool maps.)
Author: Jonathan Callahan [aut, cre], Tom Bergamaschi [aut], Ruby Fore [aut], Will Leahy [aut], Helen Miller [aut], Henry Nguyen [aut], Robin Winstanley [aut], Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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New package bitsqueezr with initial version 0.1.0
Package: bitsqueezr
Type: Package
Title: Quantize Floating-Point Numbers for Improved Compressibility
Version: 0.1.0
Author: Daniel Baston <dbaston@gmail.com>
Maintainer: Daniel Baston <dbaston@gmail.com>
Description: Provides a implementation of floating-point quantization algorithms for use in precision-preserving compression, similar to the approach taken in the 'netCDF operators' (NCO) software package and described in Zender (2016) <doi:10.5194/gmd-2016-63>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat
NeedsCompilation: yes
Packaged: 2019-01-20 17:45:47 UTC; dan
Repository: CRAN
Date/Publication: 2019-01-30 17:50:03 UTC

More information about bitsqueezr at CRAN
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Package RPANDA updated to version 1.5 with previous version 1.4 dated 2018-08-04

Title: Phylogenetic ANalyses of DiversificAtion
Description: Implements macroevolutionary analyses on phylogenetic trees. See Morlon et al. (2010) <DOI:10.1371/journal.pbio.1000493>, Morlon et al. (2011) <DOI:10.1073/pnas.1102543108>, Condamine et al. (2013) <DOI:10.1111/ele.12062>, Morlon et al. (2014) <DOI:10.1111/ele.12251>, Manceau et al. (2015) <DOI:10.1111/ele.12415>, Lewitus & Morlon (2016) <DOI:10.1093/sysbio/syv116>, Drury et al. (2016) <DOI:10.1093/sysbio/syw020>, Manceau et al. (2016) <DOI:10.1093/sysbio/syw115>, Morlon et al. (2016) <DOI:10.1111/2041-210X.12526>, Clavel & Morlon (2017) <DOI:10.1073/pnas.1606868114>, Drury et al. (2017) <DOI:10.1093/sysbio/syx079>, Lewitus & Morlon (2017) <DOI:10.1093/sysbio/syx095>, Drury et al. (2018) <DOI:10.1371/journal.pbio.2003563> and Clavel et al. (2019) <DOI:10.1093/sysbio/syy045>.
Author: Hélène Morlon [aut, cre, cph], Eric Lewitus [aut, cph], Fabien Condamine [aut, cph], Marc Manceau [aut, cph], Julien Clavel [aut, cph], Jonathan Drury [aut, cph], Olivier Billaud [aut, cph]
Maintainer: Hélène Morlon <morlon@biologie.ens.fr>

Diff between RPANDA versions 1.4 dated 2018-08-04 and 1.5 dated 2019-01-30

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Package splitfngr updated to version 0.1.2 with previous version 0.1.1 dated 2016-09-16

Title: Combined Evaluation and Split Access of Functions
Description: Some R functions, such as optim(), require a function its gradient passed as separate arguments. When these are expensive to calculate it may be much faster to calculate the function (fn) and gradient (gr) together since they often share many calculations (chain rule). This package allows the user to pass in a single function that returns both the function and gradient, then splits (hence 'splitfngr') them so the results can be accessed separately. The functions provided allow this to be done with any number of functions/values, not just for functions and gradients.
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>

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Package rsparkling updated to version 0.2.18 with previous version 0.2.16 dated 2019-01-17

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 0.2.16 dated 2019-01-17 and 0.2.18 dated 2019-01-30

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Package quanteda updated to version 1.4.0 with previous version 1.3.14 dated 2018-11-19

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [cre, aut, cph] (<https://orcid.org/0000-0002-0797-564X>), Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>), Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>), Paul Nulty [aut] (<https://orcid.org/0000-0002-7214-4666>), Adam Obeng [aut] (<https://orcid.org/0000-0002-2906-4775>), Stefan Müller [aut] (<https://orcid.org/0000-0002-6315-4125>), Akitaka Matsuo [aut] (<https://orcid.org/0000-0002-3323-6330>), Jiong Wei Lua [aut], Patrick O. Perry [aut] (<https://orcid.org/0000-0001-7460-127X>), Jouni Kuha [aut] (<https://orcid.org/0000-0002-1156-8465>), Benjamin Lauderdale [aut] (<https://orcid.org/0000-0003-3090-0969>), William Lowe [aut] (<https://orcid.org/0000-0002-1549-6163>), Christian Müller [ctb], Lori Young [dtc] (Lexicoder Sentiment Dictionary 2015), Stuart Soroka [dtc] (Lexicoder Sentiment Dictionary 2015), Ian Fellows [cph] (authored wordcloud C source code (modified)), European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda versions 1.3.14 dated 2018-11-19 and 1.4.0 dated 2019-01-30

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More information about quanteda at CRAN
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Package MVN updated to version 5.6 with previous version 5.5 dated 2018-06-14

Title: Multivariate Normality Tests
Description: Performs multivariate normality tests and graphical approaches and implements multivariate outlier detection and univariate normality of marginal distributions through plots and tests, and performs multivariate Box-Cox transformation (Korkmaz et al, (2014), <https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>).
Author: Selcuk Korkmaz [aut, cre], Dincer Goksuluk [aut], Gokmen Zararsiz [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

Diff between MVN versions 5.5 dated 2018-06-14 and 5.6 dated 2019-01-30

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More information about MVN at CRAN
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New package HHG with initial version 2.3.1
Package: HHG
Type: Package
Title: Heller-Heller-Gorfine Tests of Independence and Equality of Distributions
Version: 2.3.1
Date: 2019-01-30
Author: Barak Brill & Shachar Kaufman, based in part on an earlier implementation by Ruth Heller and Yair Heller.
Maintainer: Barak Brill <barakbri@mail.tau.ac.il>
Depends: R (>= 3.1.0)
Suggests: MASS,knitr
Description: Heller-Heller-Gorfine tests are a set of powerful statistical tests of multivariate k-sample homogeneity and independence (Heller et. al., 2013, <doi:10.1093/biomet/ass070>). For the univariate case, the package also offers implementations of the 'MinP DDP' and 'MinP ADP' tests by Heller et. al. (2016), which are consistent against all continuous alternatives but are distribution-free, and are thus much faster to apply.
License: GPL-3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-01-30 13:08:02 UTC; barak
RoxygenNote: 5.0.1
Imports: Rcpp (>= 0.12.9)
LinkingTo: Rcpp
SystemRequirements: C++11
URL: https://github.com/barakbri/HHG
BugReports: https://github.com/barakbri/HHG/issues
Repository: CRAN
Date/Publication: 2019-01-30 15:20:11 UTC

More information about HHG at CRAN
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Package SPEDInstabR updated to version 1.8 with previous version 1.7 dated 2018-12-06

Title: Estimation of the Relative Importance of Factors Affecting Species Distribution Based on Stability Concept
Description: From output files obtained from the software 'ModestR', the relative contribution of factors to explain species distribution is depicted using several plots. A global geographic raster file for each environmental variable may be also obtained with the mean relative contribution, considering all species present in each raster cell, of the factor to explain species distribution. Finally, for each variable it is also possible to compare the frequencies of any variable obtained in the cells where the species is present with the frequencies of the same variable in the cells of the extent.
Author: Cástor Guisande González
Maintainer: Cástor Guisande González <castor@uvigo.es>

Diff between SPEDInstabR versions 1.7 dated 2018-12-06 and 1.8 dated 2019-01-30

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Package nlreg updated to version 1.2-2.2 with previous version 1.2-2.1 dated 2018-04-16

Title: Higher Order Inference for Nonlinear Heteroscedastic Models
Description: Likelihood inference based on higher order approximations for nonlinear models with possibly non constant variance.
Author: S original by Alessandra R. Brazzale <alessandra.brazzale@unipd.it> and Ruggero Bellio <ruggero.bellio@uniud.it>. R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>, following earlier work by Douglas Bates.
Maintainer: Alessandra R. Brazzale <alessandra.brazzale@unipd.it>

Diff between nlreg versions 1.2-2.1 dated 2018-04-16 and 1.2-2.2 dated 2019-01-30

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More information about nlreg at CRAN
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Package ftsa updated to version 5.4 with previous version 5.3 dated 2019-01-03

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob Hyndman [aut] (<https://orcid.org/0000-0002-2140-5352>), Han Lin Shang [aut, cre, cph] (<https://orcid.org/0000-0003-1769-6430>)
Maintainer: Han Lin Shang <hanlin.shang@anu.edu.au>

Diff between ftsa versions 5.3 dated 2019-01-03 and 5.4 dated 2019-01-30

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Package cliqueMS updated to version 0.3.0 with previous version 0.2.4 dated 2019-01-10

Title: Annotation of Isotopes, Adducts and Fragmentation Adducts for in-Source LC/MS Metabolomics Data
Description: Annotates data from liquid chromatography coupled to mass spectrometry (LC/MS) metabolomics experiments. Based on a network algorithm (O.Senan, A. Aguilar- Mogas, M. Navarro, O. Yanes, R.Guimerà and M. Sales-Pardo, Metabolomics Conference (2016), Dublin), 'CliqueMS' builds a weighted similarity network where nodes are features and edges are weighted according to the similarity of this features. Then it searches for the most plausible division of the similarity network into cliques (fully connected components). Finally it annotates metabolites within each clique, obtaining for each annotated metabolite the neutral mass and their features, corresponding to isotopes, ionization adducts and fragmentation adducts of that metabolite.
Author: Oriol Senan Campos [aut, cre], Antoni Aguilar-Mogas [aut], Jordi Capellades [aut], Miriam Navarro [aut], Oscar Yanes [aut], Roger Guimerà [aut], Marta Sales-Pardo [aut]
Maintainer: Oriol Senan Campos <oriol.senan@urv.cat>

Diff between cliqueMS versions 0.2.4 dated 2019-01-10 and 0.3.0 dated 2019-01-30

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Permanent link

Package taxize updated to version 0.9.5 with previous version 0.9.4 dated 2018-07-24

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

Diff between taxize versions 0.9.4 dated 2018-07-24 and 0.9.5 dated 2019-01-30

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Package phreeqc updated to version 3.4.10 with previous version 3.4.9 dated 2018-08-15

Title: R Interface to Geochemical Modeling Software
Description: A geochemical modeling program developed by the US Geological Survey that is designed to perform a wide variety of aqueous geochemical calculations, including speciation, batch-reaction, one-dimensional reactive-transport, and inverse geochemical calculations.
Author: S.R. Charlton, D.L. Parkhurst, and C.A.J. Appelo, with contributions from D. Gillespie for Chipmunk BASIC and S.D. Cohen, A.C. Hindmarsh, R. Serban, D. Shumaker, and A.G. Taylor for CVODE/SUNDIALS
Maintainer: S.R. Charlton <charlton@usgs.gov>

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Package treemapify updated to version 2.5.3 with previous version 2.5.2 dated 2018-10-13

Title: Draw Treemaps in 'ggplot2'
Description: Provides 'ggplot2' geoms for drawing treemaps.
Author: David Wilkins <david@wilkox.org>
Maintainer: David Wilkins <david@wilkox.org>

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Package tidytree updated to version 0.2.3 with previous version 0.2.1 dated 2018-12-19

Title: A Tidy Tool for Phylogenetic Tree Data Manipulation
Description: Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data.
Author: Guangchuang Yu [aut, cre, cph] (<https://orcid.org/0000-0002-6485-8781>), Bradley Jones [ctb], Zebulun Arendsee [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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New package GpGp with initial version 0.1.1
Package: GpGp
Type: Package
Title: Fast Gaussian Process Computation Using Vecchia's Approximation
Version: 0.1.1
Date: 2019-01-27
Authors@R: c( person("Joseph", "Guinness", email = "joeguinness@gmail.com", role = c("aut", "cre")), person("Matthias", "Katzfuss", email = "katzfuss@gmail.com", role = "aut" ) )
Maintainer: Joseph Guinness <joeguinness@gmail.com>
Description: Functions for reordering input locations, finding ordered nearest neighbors (with help from 'FNN' package), grouping operations, approximate likelihood evaluations, profile likelihoods, Gaussian process predictions, and conditional simulations. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. The original approximation is due to Vecchia (1988) <http://www.jstor.org/stable/2345768>, and the reordering and grouping methods are from Guinness (2018) <doi:10.1080/00401706.2018.1437476>.
Depends: R (>= 2.10)
License: MIT + file LICENSE
Imports: Rcpp (>= 0.12.13), FNN
Suggests: fields, knitr, rmarkdown, testthat, maps, maptools
LinkingTo: Rcpp
RoxygenNote: 6.1.0
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2019-01-29 14:15:23 UTC; guinness
Author: Joseph Guinness [aut, cre], Matthias Katzfuss [aut]
Repository: CRAN
Date/Publication: 2019-01-30 09:20:03 UTC

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Package languageR updated to version 1.5.0 with previous version 1.4.1 dated 2013-12-11

Title: Analyzing Linguistic Data: A Practical Introduction to Statistics
Description: Data sets exemplifying statistical methods, and some facilitatory utility functions used in ``Analyzing Linguistic Data: A practical introduction to statistics using R'', Cambridge University Press, 2008.
Author: R. H. Baayen <harald.baayen@uni-tuebingen.de>, Elnaz Shafaei-Bajestan <elnaz.shafaei-bajestan@uni-tuebingen.de>
Maintainer: R. H. Baayen <harald.baayen@uni-tuebingen.de>

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Package fromo updated to version 0.2.1 with previous version 0.2.0 dated 2019-01-13

Title: Fast Robust Moments
Description: Fast, numerically robust computation of weighted moments via 'Rcpp'. Supports computation on vectors and matrices, and Monoidal append of moments. Moments and cumulants over running fixed length windows can be computed, as well as over time-based windows. Moment computations are via a generalization of Welford's method, as described by Bennett et. (2009) <doi:10.1109/CLUSTR.2009.5289161>.
Author: Steven E. Pav [aut, cre] (<https://orcid.org/0000-0002-4197-6195>)
Maintainer: Steven E. Pav <shabbychef@gmail.com>

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Package mRchmadness (with last version 1.0.0) was removed from CRAN

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

2017-04-09 1.0.0

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Package HHG (with last version 2.3) was removed from CRAN

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

2019-01-29 2.3

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Package glmmsr (with last version 0.2.2) was removed from CRAN

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

2018-04-10 0.2.2
2018-01-09 0.2.1
2017-08-31 0.2.0
2016-03-13 0.1.1
2016-03-09 0.1.0

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Package pmxTools (with last version 0.1.0) was removed from CRAN

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2018-03-14 0.1.0

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Package xpose (with last version 0.4.3) was removed from CRAN

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

2018-07-28 0.4.3
2018-01-30 0.4.2
2018-01-09 0.4.1
2017-11-17 0.4.0

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