Fri, 10 May 2019

New package ISOpureR with initial version 1.1.3
Package: ISOpureR
Version: 1.1.3
Date: 2019-05-10
Title: Deconvolution of Tumour Profiles
Authors@R: c(person("Gerald Quon", role = "aut", email = "gquon@mit.edu"), person("Catalina V Anghel", role = c("aut", "trl"), email="catalina.anghel@alum.utoronto.ca"), person("Syed Haider", role = "aut", email="Syed.Haider@oicr.on.ca"), person("Francis Nguyen", role = "aut"), person("Amit G Deshwar", role = "aut"), person("Quaid D Morris", role = "aut", email = "Quaid.Morris@utoronto.ca"), person("Paul C Boutros", role = c("aut", "cre"), email = "pboutros@mednet.ucla.edu"))
Author: Gerald Quon [aut], Catalina V Anghel [aut, trl], Syed Haider [aut], Francis Nguyen [aut], Amit G Deshwar [aut], Quaid D Morris [aut], Paul C Boutros [aut, cre]
Maintainer: Paul C Boutros <pboutros@mednet.ucla.edu>
Depends: R (>= 3.1.1)
Imports: Rcpp (>= 0.11.3), stats, futile.logger
LinkingTo: Rcpp, RcppEigen (>= 0.3.2.2.0)
Suggests: knitr
VignetteBuilder: knitr
Description: Deconvolution of mixed tumour profiles into normal and cancer for each patient, using the ISOpure algorithm in Quon et al. Genome Medicine, 2013 5:29. Deconvolution requires mixed tumour profiles and a set of unmatched "basis" normal profiles.
License: GPL-2
NeedsCompilation: yes
Packaged: 2019-05-10 21:14:29 UTC; jmacdonald
Repository: CRAN
Date/Publication: 2019-05-11 00:00:03 UTC

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Package ggroups updated to version 1.2.1 with previous version 1.2.0 dated 2019-04-13

Title: Pedigree and Genetic Groups
Description: Calculates additive and dominance genetic relationship matrices and their inverses, in matrix and tabular-sparse formats. It includes functions for checking and processing pedigree, as well as functions to calculate the matrix of genetic group contributions (Q), and adding those contributions to the genetic merit of animals (Quaas (1988) <doi:10.3168/jds.S0022-0302(88)79691-5>). Calculation of Q is computationally extensive. There are computationally optimized functions to calculate Q.
Author: Mohammad Ali Nilforooshan [aut, cre] (<https://orcid.org/0000-0003-0339-5442>)
Maintainer: Mohammad Ali Nilforooshan <m.a.nilforooshan@gmail.com>

Diff between ggroups versions 1.2.0 dated 2019-04-13 and 1.2.1 dated 2019-05-10

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Package bookdown updated to version 0.10 with previous version 0.9 dated 2018-12-21

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Aust Frederik [ctb] (<https://orcid.org/0000-0003-4900-788X>), Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Christophe Dervieux [ctb], Clifton Franklund [ctb], Daniel Emaasit [ctb], David Shuman [ctb], Dean Attali [ctb], Drew Tyre [ctb], Ellis Valentiner [ctb], Frans van Dunne [ctb], Hadley Wickham [ctb], Jeff Allen [ctb], Jennifer Bryan [ctb], Jonathan McPhers [ctb], Junwen Huang [ctb], Kevin Cheung [ctb], Kevin Ushey [ctb], Kim Seonghyun [ctb], Kirill Muller [ctb], Luciano Selzer [ctb], Matthew Lincoln [ctb], Maximilian Held [ctb], Michael Sachs [ctb], Michal Bojanowski [ctb], Noam Ross [ctb], Peter Hickey [ctb], Sahir Bhatnagar [ctb], Steve Simpson [ctb], Thierry Onkelinx [ctb] (<https://orcid.org/0000-0001-8804-4216>), Vincent Fulco [ctb], Yixuan Qiu [ctb], Zhuoer Dong [ctb], RStudio Inc [cph], Bartek Szopka [ctb] (The jQuery Highlight plugin), jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/resources/AUTHORS), MathQuill contributors [ctb] (The MathQuill library; authors listed in inst/resources/AUTHORS), FriendCode Inc [cph, ctb] (The gitbook style, with modifications)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between bookdown versions 0.9 dated 2018-12-21 and 0.10 dated 2019-05-10

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Package hisse updated to version 1.9.4 with previous version 1.9.1 dated 2019-02-20

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification. Beaulieu and O'Meara (2016) <doi:10.1093/sysbio/syw022>.
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut], Daniel Caetano [aut]
Maintainer: Jeremy Beaulieu <jbeaulieu@nimbios.org>

Diff between hisse versions 1.9.1 dated 2019-02-20 and 1.9.4 dated 2019-05-10

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Package intsvy updated to version 2.4 with previous version 2.3 dated 2018-10-09

Title: International Assessment Data Manager
Description: Provides tools for importing, merging, and analysing data from international assessment studies (TIMSS, PIRLS, PISA, ICILS, and PIAAC).
Author: Daniel Caro <dcarov@gmail.com>, Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Maintainer: Daniel Caro <dcarov@gmail.com>

Diff between intsvy versions 2.3 dated 2018-10-09 and 2.4 dated 2019-05-10

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Package roccv updated to version 1.2 with previous version 1.1 dated 2017-11-09

Title: ROC for Cross Validation Results
Description: Cross validate large genetic data while specifying clinical variables that should always be in the model using the function cv(). An ROC plot from the cross validation data with AUC can be obtained using rocplot(), which also can be used to compare different models. Framework was built to handle genetic data, but works for any data.
Author: Ben Sherwood [aut, cre]
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>

Diff between roccv versions 1.1 dated 2017-11-09 and 1.2 dated 2019-05-10

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Package GDINA updated to version 2.5.2 with previous version 2.4.0 dated 2019-03-11

Title: The Generalized DINA Model Framework
Description: A set of psychometric tools for cognitive diagnosis modeling based on the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> and its extensions, including the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070> for polytomous responses, and the polytomous G-DINA model by Chen and de la Torre <DOI:10.1177/0146621613479818> for polytomous attributes. Joint attribute distribution can be independent, saturated, higher-order, loglinear smoothed or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided.
Author: Wenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph], Miguel Sorrel [ctb], Zhehan Jiang [ctb]
Maintainer: Wenchao Ma <wenchao.ma@ua.edu>

Diff between GDINA versions 2.4.0 dated 2019-03-11 and 2.5.2 dated 2019-05-10

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New package radlibs with initial version 0.1.0
Package: radlibs
Type: Package
Title: Build Your Own Madlibs!
Version: 0.1.0
Authors@R: c( person("Stephanie", "Kirmer", email = "stephanie@stephaniekirmer.com", role = c("aut", "cre")) )
Maintainer: Stephanie Kirmer <stephanie@stephaniekirmer.com>
Description: Make your phrase or sentence into something funny! Pass a string with the keywords in, and get out a bit of humor.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.5.0)
Imports: data.table, lexicon, stringr (>= 1.4), utils
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-05-09 14:58:42 UTC; skirmer
Author: Stephanie Kirmer [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-10 15:10:03 UTC

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New package owdbr with initial version 1.0.0.34
Package: owdbr
Title: Open Welfare Data Brazil
Version: 1.0.0.34
Authors@R: person("Joao Pedro", "Oliveira dos Santos", email = "joaopsantos@pm.me", role = c("aut", "cre"), comment= c(ORCID= "0000-0003-1752-265X"))
Description: Tools for collecting municipal-level data <http://www.transparencia.gov.br/swagger-ui.html> from several Brazilian governmental social programs.
Depends: R (>= 3.4.4)
License: MIT + file LICENSE
URL: https://github.com/kimjoaoun/owdbr
Encoding: UTF-8
LazyData: true
Imports: tibble, dplyr, httr, jsonlite, ckanr, data.table, rlang, magrittr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-09 17:20:25 UTC; joao
Author: Joao Pedro Oliveira dos Santos [aut, cre] (<https://orcid.org/0000-0003-1752-265X>)
Maintainer: Joao Pedro Oliveira dos Santos <joaopsantos@pm.me>
Repository: CRAN
Date/Publication: 2019-05-10 15:50:04 UTC

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New package gtsummary with initial version 0.1.0
Package: gtsummary
Title: Presentation-Ready Data Summary Tables
Version: 0.1.0
Authors@R: c(person(given = "Daniel D.", family = "Sjoberg", role = c("aut", "cre"), email = "danield.sjoberg@gmail.com"), person(given = "Emily C.", family = "Zabor", role = "aut"))
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with many types of statistics presented in any pattern. Regression models are summarized including the reference row for categorical independent variables. Function defaults follow reporting guidelines outlined in Assel, Sjoberg, et al. (2019) <doi:10.1016/j.eururo.2018.12.014>.
License: MIT + file LICENSE
Depends: R (>= 3.4)
Imports: broom (>= 0.5.1), broom.mixed (>= 0.2.3), car (>= 3.0.2), dplyr (>= 0.7.8), glue (>= 1.3.0), knitr (>= 1.21), magrittr (>= 1.5), MASS, purrr (>= 0.3.0), rlang (>= 0.3.1), stringr (>= 1.3.1), tibble (>= 2.0.1), tidyr (>= 0.8.2)
Suggests: covr (>= 3.2.1), ggplot2 (>= 3.1.0), kableExtra (>= 0.9.0), lme4 (>= 1.1.18.1), rmarkdown (>= 1.11), spelling (>= 2.1), survival, testthat (>= 2.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-09 16:05:37 UTC; SjobergD
Author: Daniel D. Sjoberg [aut, cre], Emily C. Zabor [aut]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-10 15:10:10 UTC

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New package cartograflow with initial version 1.0.0
Package: cartograflow
Title: Filtering Matrix for Flow Mapping
Version: 1.0.0
Authors@R: c(person("Sylvain", "Blondeau", email = "blondeau.sylvain@yahoo.fr",role = c("aut","cre")), person("Francoise", "Bahoken", email = "francoise.bahoken@ifsttar.fr", role = "aut"))
Description: Functions to prepare and filter an origin-destination matrix for thematic flow mapping purposes. This comes after Bahoken, Francoise (2016), Mapping flow matrix a contribution, PhD in Geography - Territorial sciences. See Bahoken (2017) <doi:10.4000/netcom.2565>.
Depends: R (>= 3.4.0)
License: GPL-3
URL: https://halshs.archives-ouvertes.fr/tel-01273776 , http://journals.openedition.org/netcom/2565 , https://mappemonde-archive.mgm.fr/num44/articles/art14404.html
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat, cartography
VignetteBuilder: knitr
Imports: dplyr, g.data, graphics, ggplot2, maptools, plotly, rgdal, rgeos, reshape2, rlang, sp, utils
NeedsCompilation: no
Packaged: 2019-05-09 17:37:15 UTC; sylvain
Author: Sylvain Blondeau [aut, cre], Francoise Bahoken [aut]
Maintainer: Sylvain Blondeau <blondeau.sylvain@yahoo.fr>
Repository: CRAN
Date/Publication: 2019-05-10 15:50:09 UTC

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New package arse with initial version 1.0.0
Package: arse
Version: 1.0.0
Date: 2019-05-06
Title: Area of Resilience to Stress Event
Depends: R (>= 3.5.0), dplyr, pracma
Description: A method for quantifying resilience after a stress event. A set of functions calculate the area of resilience that is created by the departure of baseline 'y' (i.e., robustness) and the time taken 'x' to return to baseline (i.e., rapidity) after a stress event using the Cartesian coordinates of the data. This package has the capability to calculate areas of resilience, growth, and cases in which resilience is not achieved (e.g., diminished performance without return to baseline).
License: MIT + file LICENSE
Authors@R: c(person("Nathaniel", "Ratcliff", role = c("aut", "cre"), email = "nr3xe@virginia.edu"), person("Devika", "Nair", role = "aut"), person("Joshua", "Goldstein", role = "aut"), person("Teja", "Pristavec", role = "ctb"), person("Aaron", "Schroeder", role = "ctb"), person("Jon", "Spring", role = "ctb"))
Encoding: UTF-8
LazyData: TRUE
URL: https://github.com/nr3xe/arse
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-09 17:52:34 UTC; Nathaniel R
Author: Nathaniel Ratcliff [aut, cre], Devika Nair [aut], Joshua Goldstein [aut], Teja Pristavec [ctb], Aaron Schroeder [ctb], Jon Spring [ctb]
Maintainer: Nathaniel Ratcliff <nr3xe@virginia.edu>
Repository: CRAN
Date/Publication: 2019-05-10 15:50:16 UTC

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Package tinytest updated to version 0.9.3 with previous version 0.9.2 dated 2019-04-25

Title: Lightweight but Feature Complete Unit Testing Framework
Description: Provides a lightweight (zero-dependency) and easy to use unit testing framework. Main features: install tests with the package. Test results are treated as data that can be stored and manipulated. Test files are R scripts interspersed with test commands, that can be programmed over. Fully automated build-install-test sequence for packages. Skip tests when not run locally (e.g. on CRAN). Flexible and configurable output printing. Compare computed output with output stored with the package.
Author: Mark van der Loo [aut, cre]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package SpatialPosition updated to version 2.0.0 with previous version 1.2.0 dated 2017-09-06

Title: Spatial Position Models
Description: Computes spatial position models: Stewart potentials, Reilly catchment areas, Huff catchment areas.
Author: Timothée Giraud [cre, aut], Hadrien Commenges [aut], Joël Boulier [ctb]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

Diff between SpatialPosition versions 1.2.0 dated 2017-09-06 and 2.0.0 dated 2019-05-10

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Package mvSLOUCH updated to version 2.0.6 with previous version 2.0.5 dated 2019-04-25

Title: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history. See K. Bartoszek, J, Pienaar, P. Mostad, S. Andersson, T. F.Hansen (2012) <doi:10.1016/j.jtbi.2012.08.005>.
Author: Krzysztof Bartoszek <krzbar@protonmail.ch>
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

Diff between mvSLOUCH versions 2.0.5 dated 2019-04-25 and 2.0.6 dated 2019-05-10

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Package spanish updated to version 0.4.2 with previous version 0.3.2 dated 2018-01-08

Title: Translate Quantities from Strings to Integer and Back. Misc Functions on Spanish Data
Description: Character vector to numerical translation in Euros from Spanish spelled monetary quantities. Reverse translation from integer to Spanish. Upper limit is up to the millions range. Geocoding via Cadastral web site.
Author: Jose Manuel Vera Oteo [aut, cre]
Maintainer: Jose Manuel Vera Oteo <vera.josemanuel@gmail.com>

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Package rankFD updated to version 0.0.3 with previous version 0.0.2 dated 2019-04-05

Title: Rank-Based Tests for General Factorial Designs
Description: The rankFD() function calculates the Wald-type statistic (WTS) and the ANOVA-type statistic (ATS) for nonparametric factorial designs, e.g., for count, ordinal or score data in a crossed design with an arbitrary number of factors.
Author: Frank Konietschke, Sarah Friedrich, Edgar Brunner, Markus Pauly
Maintainer: Frank Konietschke <frank.konietschke@charite.de>

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Package ipflasso updated to version 0.2 with previous version 0.1 dated 2015-11-24

Title: Integrative Lasso with Penalty Factors
Description: The core of the package is cvr2.ipflasso(), an extension of glmnet to be used when the (large) set of available predictors is partitioned into several modalities which potentially differ with respect to their information content in terms of prediction. For example, in biomedical applications patient outcome such as survival time or response to therapy may have to be predicted based on, say, mRNA data, miRNA data, methylation data, CNV data, clinical data, etc. The clinical predictors are on average often much more important for outcome prediction than the mRNA data. The ipflasso method takes this problem into account by using different penalty parameters for predictors from different modalities. The ratio between the different penalty parameters can be chosen by cross-validation.
Author: Anne-Laure Boulesteix, Mathias Fuchs
Maintainer: Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>

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New package dplyr.teradata with initial version 0.3.2
Package: dplyr.teradata
Type: Package
Title: A 'Teradata' Backend for 'dplyr'
Version: 0.3.2
Description: A 'Teradata' backend for 'dplyr'. It makes it possible to operate 'Teradata' database <https://www.teradata.com/products-and-services/teradata-database/> in the same way as manipulating data frames with 'dplyr'.
Authors@R: c( person("Koji", "Makiyama", email = "hoxo.smile@gmail.com", role = c("cre", "aut")), person("Jim", "Hester", role = "ctb"))
URL: https://github.com/hoxo-m/dplyr.teradata
BugReports: https://github.com/hoxo-m/dplyr.teradata/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: dplyr (>= 0.8.0), dbplyr (>= 1.4.0)
Imports: bit64, DBI (>= 0.8), methods, odbc (>= 1.1.6), rstudioapi (>= 0.7)
Suggests: blob, covr, knitr, rmarkdown, testthat
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-10 09:09:04 UTC; kmakiyam
Author: Koji Makiyama [cre, aut], Jim Hester [ctb]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-10 12:00:07 UTC

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Package mosum updated to version 1.2.1 with previous version 1.2.0 dated 2018-06-22

Title: Moving Sum Based Procedures for Changes in the Mean
Description: Implementations of MOSUM-based statistical procedures and algorithms for detecting multiple changes in the mean. This comprises the MOSUM procedure for estimating multiple mean changes from Eichinger and Kirch (2018) <doi:10.3150/16-BEJ887> and the multiscale algorithmic extensions from Cho and Kirch (2019+).
Author: Alexander Meier [aut], Haeran Cho [aut, cre], Claudia Kirch [aut]
Maintainer: Haeran Cho <haeran.cho@bristol.ac.uk>

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Package stplanr updated to version 0.2.9 with previous version 0.2.8 dated 2019-03-22

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. Enables common transport planning tasks including: downloading and cleaning transport datasets; creating geographic "desire lines" from origin-destination (OD) data; route assignment, locally and via interfaces to routing services such as <http://cyclestreets.net/>; calculation of route segment attributes such as bearing and aggregate flow; and 'travel watershed' analysis. See Lovelace and Ellison (2018) <doi:10.32614/RJ-2018-053>.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Richard Ellison [aut], Malcolm Morgan [aut] (<https://orcid.org/0000-0001-5679-6536>), Barry Rowlingson [ctb] (Author of overline), Nick Bearman [ctb] (Co-author of gclip), Nikolai Berkoff [ctb] (Co-author of line2route), Scott Chamberlin [rev] (Scott reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/10), Mark Padgham [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package essHist updated to version 1.2.2 with previous version 1.2.1 dated 2019-04-08

Title: The Essential Histogram
Description: Provide an optimal histogram, in the sense of probability density estimation and features detection, by means of multiscale variational inference. In other words, the resulting histogram servers as an optimal density estimator, and meanwhile recovers the features, such as increases or modes, with both false positive and false negative controls. Moreover, it provides a parsimonious representation in terms of the number of blocks, which simplifies data interpretation. The only assumption for the method is that data points are independent and identically distributed, so it applies to fairly general situations, including continuous distributions, discrete distributions, and mixtures of both. For details see Li, Munk, Sieling and Walther (2016) <arXiv:1612.07216>.
Author: Housen Li [aut, cre], Hannes Sieling [aut]
Maintainer: Housen Li <housen.li@outlook.com>

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Package robustreg updated to version 0.1-11 with previous version 0.1-10 dated 2017-04-27

Title: Robust Regression Functions
Description: Linear regression functions using Huber and bisquare psi functions. Optimal weights are calculated using IRLS algorithm.
Author: Ian M. Johnson <ijca2013@gmail.com>
Maintainer: Ian M. Johnson <ijca2013@gmail.com>

Diff between robustreg versions 0.1-10 dated 2017-04-27 and 0.1-11 dated 2019-05-10

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Package loose.rock updated to version 1.0.12 with previous version 1.0.11 dated 2019-05-06

Title: Set of Functions to Use in Survival Analysis and in Data Science
Description: Collection of functions to improve work-flow in survival analysis and data science. The package features include: the generation of balanced datasets, live retrieval of protein coding genes from two public databases, generation of random matrix based on covariance matrix, cache function to store function results. This work was supported by two grants from the Portuguese Foundation for Science and technology, and the EU Commission under SOUND project.
Author: André Veríssimo [aut, cre], Susana Vinga [aut]
Maintainer: André Veríssimo <andre.verissimo@tecnico.ulisboa.pt>

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Package graphon updated to version 0.3.2 with previous version 0.3.1 dated 2019-02-03

Title: A Collection of Graphon Estimation Methods
Description: Provides a not-so-comprehensive list of methods for estimating graphon, a symmetric measurable function, from a single or multiple of observed networks. For a detailed introduction on graphon and popular estimation techniques, see the paper by Orbanz, P. and Roy, D.M.(2014) <doi:10.1109/TPAMI.2014.2334607>. It also contains several auxiliary functions for generating sample networks using various network models and graphons.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <ksyou496@gmail.com>

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New package glmaag with initial version 0.0.6
Package: glmaag
Title: Adaptive LASSO and Network Regularized Generalized Linear Models
Version: 0.0.6
Date: 2019-05-09
Author: Kaiqiao Li [aut, cre], Pei Fen Kuan [aut], Xuefeng Wang [aut]
Maintainer: Kaiqiao Li <kaiqiao.li@stonybrook.edu>
Description: Efficient procedures for adaptive LASSO and network regularized for Gaussian, logistic, and Cox model. Provides network estimation procedure (combination of methods proposed by Ucar, et. al (2007) <doi:10.1093/bioinformatics/btm423> and Meinshausen and Buhlmann (2006) <doi:10.1214/009053606000000281>), cross validation and stability selection proposed by Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x> and Liu, Roeder and Wasserman (2010) <arXiv:1006.3316> methods. Interactive R app is available.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.6.0), survival, data.table
Imports: Rcpp (>= 1.0.0), methods, stats, Matrix, ggplot2, gridExtra, maxstat, survminer, plotROC, shiny, foreach, pROC, huge, OptimalCutpoints
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-05-10 02:34:26 UTC; Prob
Repository: CRAN
Date/Publication: 2019-05-10 07:50:16 UTC

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Package ECOSolveR updated to version 0.5.2 with previous version 0.5.1 dated 2019-05-07

Title: Embedded Conic Solver in R
Description: R interface to the Embedded COnic Solver (ECOS), an efficient and robust C library for convex problems. Conic and equality constraints can be specified in addition to integer and boolean variable constraints for mixed-integer problems. This R interface is inspired by the python interface and has similar calling conventions.
Author: Anqi Fu [aut], Balasubramanian Narasimhan [aut, cre], Florian Schwendinger [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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Package wnl updated to version 0.5.0 with previous version 0.4.1 dated 2018-06-14

Title: Minimization Tool for Pharmacokinetic-Pharmacodynamic Data Analysis
Description: This is a set of minimization tools (maximum likelihood estimation and least square fitting) to solve examples in the Johan Gabrielsson and Dan Weiner's book "Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications" 5th ed. (ISBN:9198299107). Examples include linear and nonlinear compartmental model, turn-over model, single or multiple dosing bolus/infusion/oral models, allometry, toxicokinetics, reversible metabolism, in-vitro/in-vivo extrapolation, enterohepatic circulation, metabolite modeling, Emax model, inhibitory model, tolerance model, oscillating response model, enantiomer interaction model, effect compartment model, drug-drug interaction model, receptor occupancy model, and rebound phenomena model.
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package WCM updated to version 0.2.0 with previous version 0.1.0 dated 2019-05-02

Title: Water Cloud Model (WCM) for the Simulation of Leaf Area Index (LAI) and Soil Moisture (SM) in Satellite Earth Observation Data
Description: Retrieves the leaf area index (LAI) and soil moisture (SM) from synthetic aperture radar(SAR) for earth observation data using water cloud model (WCM) model inversion. The WCM algorithm attributed to Pervot et al. (1993)<doi:10.1016/0034-4257(93)90053-Z>.
Author: Ujjwal Singh <ujjwalrsmt@gmail.com>
Maintainer: Ujjwal Singh <ujjwalrsmt@gmail.com>

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Package predictoR updated to version 1.0.9 with previous version 1.0.4 dated 2019-03-03

Title: Predictive Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
Author: Oldemar Rodriguez R. with contributions from Diego Jimenez A. and Andres Navarro D.
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package gestalt updated to version 0.1.7 with previous version 0.1.6 dated 2019-02-10

Title: Tools for Making and Combining Functions
Description: Provides a suite of function-building tools centered around a (forward) composition operator, %>>>%, which extends the semantics of the 'magrittr' %>% operator and supports 'tidyverse' quasiquotation. It enables you to construct composite functions that can be inspected and transformed as list-like objects. In conjunction with %>>>%, a compact function constructor, fn(), and a function that performs partial application, partial(), are also provided. Both support quasiquotation.
Author: Eugene Ha [aut, cre]
Maintainer: Eugene Ha <eha@posteo.de>

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Package AzureAuth updated to version 1.1.0 with previous version 1.0.2 dated 2019-04-23

Title: Authentication Services for Azure Active Directory
Description: Provides Azure Active Directory (AAD) authentication functionality for R users of Microsoft's 'Azure' cloud <https://azure.microsoft.com/>. Use this package to obtain 'OAuth' 2.0 tokens for services including Azure Resource Manager, Azure Storage and others. It supports both AAD v1.0 and v2.0, as well as multiple authentication methods, including device code and resource owner grant. Tokens are cached in a user-specific directory obtained using the 'rappdirs' package. The interface is based on the 'OAuth' framework in the 'httr' package, but customised and streamlined for Azure.
Author: Hong Ooi [aut, cre], httr development team [ctb] (Original OAuth listener code), Scott Holden [ctb] (Advice on AAD authentication), Chris Stone [ctb] (Advice on AAD authentication), Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

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Package mscstts updated to version 0.5.2 with previous version 0.5.1 dated 2019-04-23

Title: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API
Description: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API, including voice synthesis. A valid account must be registered at the Microsoft Cognitive Services website <https://www.microsoft.com/cognitive-services/> in order to obtain a (free) API key. Without an API key, this package will not work properly.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

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