Mon, 24 Jun 2019

Package predictoR updated to version 1.1.0 with previous version 1.0.9 dated 2019-05-10

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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New package metapost with initial version 1.0-6
Package: metapost
Type: Package
Title: Interface to 'MetaPost'
Version: 1.0-6
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Description: Provides an interface to 'MetaPost' (Hobby, 1998) <http://www.tug.org/docs/metapost/mpman.pdf>. There are functions to generate an R description of a 'MetaPost' curve, functions to generate 'MetaPost' code from an R description, functions to process 'MetaPost' code, and functions to read solved 'MetaPost' paths back into R.
Imports: grid, gridBezier
Suggests: grImport
SystemRequirements: mpost
URL: https://github.com/pmur002/metapost, https://stattech.wordpress.fos.auckland.ac.nz/2018/12/03/2018-12-metapost-three-ways/
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-06-24 20:52:29 UTC; pmur002
Repository: CRAN
Date/Publication: 2019-06-24 22:20:03 UTC

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Package bamboo updated to version 0.9.24 with previous version 0.9.23 dated 2018-10-19

Title: Protein Secondary Structure Prediction Using the Bamboo Method
Description: Implementation of the Bamboo methods described in Li, Dahl, Vannucci, Joo, and Tsai (2014) <DOI:10.1371/journal.pone.0109832>.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package vegawidget updated to version 0.2.1 with previous version 0.1.0 dated 2019-01-30

Title: 'Htmlwidget' 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'.
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], 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>

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Package remotes updated to version 2.1.0 with previous version 2.0.4 dated 2019-04-10

Title: R Package Installation from Remote Repositories, Including 'GitHub'
Description: Download and install R packages stored in 'GitHub', 'BitBucket', or plain 'subversion' or 'git' repositories. This package provides the 'install_*' functions in 'devtools'. Indeed most of the code was copied over from 'devtools'.
Author: Jim Hester [aut, cre], Gábor Csárdi [aut], Hadley Wickham [aut], Winston Chang [aut], RStudio [cph], Martin Morgan [aut], Dan Tenenbaum [aut], Mango Solutions [cph]
Maintainer: Jim Hester <james.hester@rstudio.com>

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Package text2speech updated to version 0.2.5 with previous version 0.2.4 dated 2019-06-14

Title: Text to Speech
Description: Unifies different text to speech engines, such as Google, Microsoft, and Amazon. Text synthesis can be done in any engine with a simple switch of an argument denoting the service requested.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between text2speech versions 0.2.4 dated 2019-06-14 and 0.2.5 dated 2019-06-24

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Package jmuOutlier updated to version 1.5 with previous version 1.4 dated 2018-01-26

Title: Permutation Tests for Nonparametric Statistics
Description: Performs a permutation test on the difference between two location parameters, a permutation correlation test, a permutation F-test, the Siegel-Tukey test, a ratio mean deviance test. Also performs some graphing techniques, such as for confidence intervals, vector addition, and Fourier analysis; and includes functions related to the Laplace (double exponential) and triangular distributions. Performs power calculations for the binomial test.
Author: Steven T. Garren [aut, cre]
Maintainer: Steven T. Garren <GARRENST@JMU.EDU>

Diff between jmuOutlier versions 1.4 dated 2018-01-26 and 1.5 dated 2019-06-24

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Package fastGraph updated to version 1.3 with previous version 1.1 dated 2016-07-07

Title: Fast Drawing and Shading of Graphs of Statistical Distributions
Description: Provides functionality to produce graphs of probability density functions and cumulative distribution functions with few keystrokes, allows shading under the curve of the probability density function to illustrate concepts such as p-values and critical values, and fits a simple linear regression line on a scatter plot with the equation as the main title.
Author: Steven T. Garren [aut, cre]
Maintainer: Steven T. Garren <garrenst@jmu.edu>

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Package SSDforR updated to version 1.5.6 with previous version 1.5.5 dated 2019-06-17

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

Diff between SSDforR versions 1.5.5 dated 2019-06-17 and 1.5.6 dated 2019-06-24

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New package mcglm with initial version 0.5.0
Package: mcglm
Type: Package
Title: Multivariate Covariance Generalized Linear Models
Version: 0.5.0
Date: 2019-06-25
Author: Wagner Hugo Bonat [aut, cre], Walmes Marques Zeviani [ctb], Fernando de Pol Mayer [ctb]
Maintainer: Wagner Hugo Bonat <wbonat@ufpr.br>
Authors@R: c(person(c("Wagner","Hugo"), "Bonat", role = c("aut", "cre"), email = "wbonat@ufpr.br"), person(c("Walmes","Marques"), "Zeviani", role = "ctb"), person(c("Fernando", "de Pol"), "Mayer", role = "ctb"))
Description: Fitting multivariate covariance generalized linear models (McGLMs) to data. McGLM is a general framework for non-normal multivariate data analysis, designed to handle multivariate response variables, along with a wide range of temporal and spatial correlation structures defined in terms of a covariance link function combined with a matrix linear predictor involving known matrices. The models take non-normality into account in the conventional way by means of a variance function, and the mean structure is modelled by means of a link function and a linear predictor. The models are fitted using an efficient Newton scoring algorithm based on quasi-likelihood and Pearson estimating functions, using only second-moment assumptions. This provides a unified approach to a wide variety of different types of response variables and covariance structures, including multivariate extensions of repeated measures, time series, longitudinal, spatial and spatio-temporal structures. The package offers a user-friendly interface for fitting McGLMs similar to the glm() R function. See Bonat (2018) <doi:10.18637/jss.v084.i04>, for more information and examples.
Depends: R (>= 3.2.1)
Suggests: testthat, plyr, lattice, latticeExtra, knitr, rmarkdown, MASS, mvtnorm, tweedie, devtools
Imports: stats, Matrix, assertthat, graphics, Rcpp (>= 0.12.16)
License: GPL-3 | file LICENSE
LazyData: TRUE
URL: https://github.com/wbonat/mcglm
BugReports: https://github.com/wbonat/mcglm/issues
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 6.1.1
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2019-06-24 18:45:49 UTC; wagner
Repository: CRAN
Date/Publication: 2019-06-24 19:30:03 UTC

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Package uroot updated to version 2.0-10 with previous version 2.0-9.1 dated 2019-03-24

Title: Unit Root Tests for Seasonal Time Series
Description: Seasonal unit roots and seasonal stability tests. P-values based on response surface regressions are available for both tests. P-values based on bootstrap are available for seasonal unit root tests. A parallel implementation of the bootstrap method requires a CUDA capable GPU with compute capability >= 3.0, otherwise a debugging version fully coded in R is used.
Author: Javier López-de-Lacalle [aut], Georgi N. Boshnakov [cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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New package spatialfusion with initial version 0.6
Package: spatialfusion
Imports: methods, graphics, stats, utils, rstan, sp, geoR, SDraw, fields
Suggests: INLA, testthat, tmap, R.rsp
Depends: R (>= 3.4.0), Rcpp
Type: Package
VignetteBuilder: R.rsp
Title: Multivariate Analysis of Spatial Data Using a Unifying Spatial Fusion Framework
Version: 0.6
Date: 2019-06-21
Authors@R: c( person("Craig", "Wang", email = "craig.wang@uzh.ch", role = c("aut","cre"),comment = c(ORCID = "0000-0003-1804-2463")), person("Reinhard", "Furrer", email = "reinhard.furrer@math.uzh.ch", role = "ctb",comment = c(ORCID = "0000-0002-6319-2332")))
Maintainer: Craig Wang <craig.wang@uzh.ch>
Description: Multivariate modelling of geostatistical (point), lattice (areal) and point pattern data in a unifying spatial fusion framework. Details are given in Wang and Furrer (2019) <arXiv:1906.00364>. Model inference is done using either 'Stan' <https://mc-stan.org/> or 'INLA' <http://www.r-inla.org>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: no
Packaged: 2019-06-21 18:36:19 UTC; crwang
Author: Craig Wang [aut, cre] (<https://orcid.org/0000-0003-1804-2463>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)
Repository: CRAN
Date/Publication: 2019-06-24 18:50:37 UTC

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Package devEMF updated to version 3.6-3 with previous version 3.6-2 dated 2019-01-03

Title: EMF Graphics Output Device
Description: Output graphics to EMF+/EMF.
Author: Philip Johnson
Maintainer: Philip Johnson <plfj@umd.edu>

Diff between devEMF versions 3.6-2 dated 2019-01-03 and 3.6-3 dated 2019-06-24

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Package psda updated to version 1.3.2 with previous version 1.3.1 dated 2019-03-22

Title: Polygonal Symbolic Data Analysis
Description: A toolbox in symbolic data framework as a statistical learning and data mining solution for symbolic polygonal data analysis. This study is a new approach in data analysis and it was proposed by Silva et al. (2019) <doi:10.1016/j.knosys.2018.08.009>. The package presents the estimation of main descriptive statistical measures, e.g, mean, covariance, variance, correlation and coefficient of variation. In addition, a method to obtain polygonal data from classical data is presented. Empirical probability distribution function based on symbolic polygonal histogram and a regression model with its main measures are presented.
Author: Wagner Silva [aut, cre, ths], Renata Souza [aut], Francisco Cysneiros [aut]
Maintainer: Wagner Silva <wjfs@cin.ufpe.br>

Diff between psda versions 1.3.1 dated 2019-03-22 and 1.3.2 dated 2019-06-24

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Package vdiffr updated to version 0.3.1 with previous version 0.3.0 dated 2019-01-02

Title: Visual Regression Testing and Graphical Diffing
Description: An extension to the 'testthat' package that makes it easy to add graphical unit tests. It provides a Shiny application to manage the test cases.
Author: Lionel Henry [cre, aut], RStudio [cph], Carl Sutherland [aut] (jg-imagediff library), Humble Software [cph] (jg-imagediff library), David Hong [aut] (TwoFace library), jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/htmlwidgets/lib/jquery-authors.txt), T Jake Luciani [aut] (svglite), Matthieu Decorde [aut] (svglite), Vaudor Lise [aut] (svglite), Tony Plate [ctb] (svglite: Early line dashing code), David Gohel [ctb] (svglite: Line dashing code and raster code), Yixuan Qiu [ctb] (svglite: Improved styles; polypath implementation), Håkon Malmedal [ctb] (svglite: Opacity code)
Maintainer: Lionel Henry <lionel@rstudio.com>

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Package pivmet updated to version 0.2.0 with previous version 0.1.1 dated 2019-02-26

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

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Package ggstance updated to version 0.3.2 with previous version 0.3.1 dated 2018-07-20

Title: Horizontal 'ggplot2' Components
Description: A 'ggplot2' extension that provides flipped components: horizontal versions of 'Stats' and 'Geoms', and vertical versions of 'Positions'.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], Winston Chang [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between ggstance versions 0.3.1 dated 2018-07-20 and 0.3.2 dated 2019-06-24

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Package fhidata updated to version 2019.6.24 with previous version 2019.5.19 dated 2019-05-21

Title: Structural Data for Norway
Description: Provides structural data for Norway. Datasets relating to maps, population in municipalities, vaccination coverage for childhood vaccines, municipality/county matching, and how different municipalities have merged/redistricted over time from 2006 to 2019.
Author: Richard White [aut, cre]
Maintainer: Richard White <w@rwhite.no>

Diff between fhidata versions 2019.5.19 dated 2019-05-21 and 2019.6.24 dated 2019-06-24

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Package bootnet updated to version 1.2.3 with previous version 1.2.2 dated 2019-05-09

Title: Bootstrap Methods for Various Network Estimation Routines
Description: Bootstrap methods to assess accuracy and stability of estimated network structures and centrality indices. Allows for flexible specification of any undirected network estimation procedure in R, and offers default sets for 'qgraph', 'IsingFit', 'IsingSampler', 'glasso', 'huge' and 'parcor' packages.
Author: Sacha Epskamp [aut, cre], Eiko I. Fried [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between bootnet versions 1.2.2 dated 2019-05-09 and 1.2.3 dated 2019-06-24

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Package visvow updated to version 0.5.0 with previous version 0.4.0 dated 2019-01-25

Title: Visible Vowels: Visualization of Vowel Variation
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
Author: Wilbert Heeringa, Hans Van de Velde
Maintainer: Wilbert Heeringa <wjheeringa@gmail.com>

Diff between visvow versions 0.4.0 dated 2019-01-25 and 0.5.0 dated 2019-06-24

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New package mcgfa with initial version 2.2.1
Package: mcgfa
Version: 2.2.1
Type: Package
Title: Mixtures of Contaminated Gaussian Factor Analyzers
Authors@R: c(person("Martin", "Blostein", role = c("aut", "cre"), email="martin.blostein@gmail.com"), person("Antonio", "Punzo", role = "aut"), person(c("Paul", "D."), "McNicholas", role = c("aut","ths")))
Description: Clustering and classification using the Mixtures of Contaminated Gaussian Factor Analyzers model. Allows for automatic detection of outliers and noise. Punzo, A, Blostein, M, McNicholas, PD (2017) <arXiv:1408.2128v2>.
Imports: stats, parallel
License: GPL (>= 2)
LazyData: TRUE
NeedsCompilation: yes
Packaged: 2019-06-23 20:13:43 UTC; martin
Author: Martin Blostein [aut, cre], Antonio Punzo [aut], Paul D. McNicholas [aut, ths]
Maintainer: Martin Blostein <martin.blostein@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-24 14:30:03 UTC

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New package GenTag with initial version 1.0
Package: GenTag
Type: Package
Title: Generate Color Tag Sequences
Version: 1.0
Date: 2019-06-21
Author: Carlos Biagolini-Jr.
Maintainer: Carlos Biagolini-Jr.<c.biagolini@gmail.com>
Description: Implement a coherent and flexible protocol for animal color tagging. 'GenTag' provides a simple computational routine with low CPU usage to create color sequences for animal tag. First, a single-color tag sequence is created from an algorithm selected by the user, followed by verification of the combination uniqueness. Three methods to produce color tag sequences are provided. Users can modify the main function core to allow a wide range of applications.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-06-23 15:15:06 UTC; biago
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2019-06-24 14:20:03 UTC

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Package SqlRender updated to version 1.6.2 with previous version 1.6.0 dated 2019-02-15

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include 'Microsoft Sql Server', 'Oracle', 'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', and 'SQLite'.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between SqlRender versions 1.6.0 dated 2019-02-15 and 1.6.2 dated 2019-06-24

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New package sensibo.sky with initial version 1.0.0
Package: sensibo.sky
Title: Access to 'Sensibo Sky' API V2 for Air Conditioners Remote Control
Version: 1.0.0
Authors@R: person("Gabriele", "Baldassarre", role = c("aut", "cre"), email = "gabriele@gabrielebaldassarre.com")
Description: Provides an interface to the 'Sensibo Sky' API which allows to remotely control non-smart air conditioning units. See <https://sensibo.com> for more informations.
URL: https://github.com/theclue/sensibo.sky
BugReports: https://github.com/theclue/sensibo.sky/issues
Depends: R (>= 3.0)
License: MIT + file LICENSE
LazyData: true
NeedsCompilation: no
Imports: httr, jsonlite, glue
Suggests: testthat
RoxygenNote: 6.1.1
Packaged: 2019-06-22 12:54:14 UTC; rstudio
Author: Gabriele Baldassarre [aut, cre]
Maintainer: Gabriele Baldassarre <gabriele@gabrielebaldassarre.com>
Repository: CRAN
Date/Publication: 2019-06-24 13:10:03 UTC

More information about sensibo.sky at CRAN
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New package mmetrics with initial version 0.1.0
Package: mmetrics
Type: Package
Title: Easy Computation of Marketing Metrics with Different Analysis Axis
Version: 0.1.0
Authors@R: c( person("Shinichi", "Takayanagi", , "shinichi.takayanagi@gmail.com", role = c("aut", "cre")), person("Nagi", "Teramo", , "teramonagi@gmail.com", role = c("aut")), person("Takahiro", "Yoshinaga", , "t.yoshinaga0106@gmail.com", role = c("aut")) )
Description: Provides a mechanism for easy computation of marketing metrics. By default in this package, metrics for digital marketing (e.g. CTR (Click Through Rate), CVR (Conversion Rate), CPC (Cost Per Click) etc) are calculated but you can define your own metrics easily. In addition to that, you can change an analysis axis to calculate these metrics.
URL: https://github.com/shinichi-takayanagi/mmetrics
BugReports: https://github.com/shinichi-takayanagi/mmetrics/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magrittr, dplyr, purrr, stringr, rlang
Suggests: covr, devtools, testthat, knitr, rmarkdown
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-06-23 06:54:12 UTC; stakaya
Author: Shinichi Takayanagi [aut, cre], Nagi Teramo [aut], Takahiro Yoshinaga [aut]
Maintainer: Shinichi Takayanagi <shinichi.takayanagi@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-24 13:30:03 UTC

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Package mev updated to version 1.12 with previous version 1.11 dated 2018-02-22

Title: Multivariate Extreme Value Distributions
Description: Exact simulation from max-stable processes, R-Pareto processes for various parametric models. Threshold selection methods. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes.
Author: Leo Belzile [aut, cre] (<https://orcid.org/0000-0002-9135-014X>), Jennifer L. Wadsworth [aut], Paul J. Northrop [aut], Scott D. Grimshaw [aut], Jin Zhang [ctb], Michael A. Stephens [ctb], Art B. Owen [ctb], Raphael Huser [aut]
Maintainer: Leo Belzile <belzilel@gmail.com>

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New package kernelPSI with initial version 1.0.0
Package: kernelPSI
Title: Post-Selection Inference for Nonlinear Variable Selection
Version: 1.0.0
Date: 2019-06-20
Authors@R: c(person("Lotfi", "Slim", email = "lotfi.slim@mines-paristech.fr", role = c("aut", "cre")), person("Clément", "Chatelain", email = "clement.chatelain@sanofi.com", role = "ctb"), person("Chloé-Agathe", "Azencott", email = "chloe-agathe.azencott@mines-paristech.fr", role ="ctb"), person("Jean-Philippe", "Vert", email = "jpvert@google.com", role ="ctb"))
Description: Different post-selection inference strategies for kernel selection, as described in "kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection", Slim et al., Proceedings of Machine Learning Research, 2019, <http://proceedings.mlr.press/v97/slim19a/slim19a.pdf>. The strategies rest upon quadratic kernel association scores to measure the association between a given kernel and an outcome of interest. The inference step tests for the joint effect of the selected kernels on the outcome. A fast constrained sampling algorithm is proposed to derive empirical p-values for the test statistics.
URL: http://proceedings.mlr.press/v97/slim19a.html
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.1), CompQuadForm, tmg, pracma, kernlab, lmtest
Suggests: bindata, knitr, rmarkdown, MASS, testthat
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-06-22 21:28:24 UTC; lotfislim
Author: Lotfi Slim [aut, cre], Clément Chatelain [ctb], Chloé-Agathe Azencott [ctb], Jean-Philippe Vert [ctb]
Maintainer: Lotfi Slim <lotfi.slim@mines-paristech.fr>
Repository: CRAN
Date/Publication: 2019-06-24 13:20:03 UTC

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Package forestplot updated to version 1.9 with previous version 1.8 dated 2019-06-01

Title: Advanced Forest Plot Using 'grid' Graphics
Description: A forest plot that allows for multiple confidence intervals per row, custom fonts for each text element, custom confidence intervals, text mixed with expressions, and more. The aim is to extend the use of forest plots beyond meta-analyses. This is a more general version of the original 'rmeta' package's forestplot() function and relies heavily on the 'grid' package.
Author: Max Gordon [aut, cre], Thomas Lumley [aut, ctb]
Maintainer: Max Gordon <max@gforge.se>

Diff between forestplot versions 1.8 dated 2019-06-01 and 1.9 dated 2019-06-24

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New package SeqNet with initial version 1.0.0
Package: SeqNet
Title: Generate RNA-Seq Data from Gene-Gene Association Networks
Version: 1.0.0
Authors@R: c(person("Tyler", "Grimes", role = c("aut", "cre"), email = "tyler.grimes@ufl.edu"), person("Somnath", "Datta", role = c("aut")))
Author: Tyler Grimes [aut, cre], Somnath Datta [aut]
Maintainer: Tyler Grimes <tyler.grimes@ufl.edu>
Description: Methods to generate random gene-gene association networks and simulate RNA-seq data from them. Includes functions to generate random networks of any size and perturb them to obtain differential networks. Network objects are built from individual, overlapping modules that represent pathways. The resulting network has various topological properties that are characteristic of gene regulatory networks. RNA-seq data can be generated such that the association among gene expression profiles reflect the underlying network. A reference RNA-seq dataset can be provided to model realistic marginal distributions. Plotting functions are available to visualize a network, compare two networks, and compare the expression of two genes across multiple networks.
Depends: R (>= 3.5.0)
Imports: fitdistrplus, ggplot2, grDevices, graphics, igraph, mvtnorm, purrr, RColorBrewer, tibble, Rcpp, rlang, stats, utils
Suggests: knitr, rmarkdown, testthat
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2019-06-21 18:24:30 UTC; Grimes
Repository: CRAN
Date/Publication: 2019-06-24 11:10:03 UTC

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New package hagis with initial version 2.0.0
Package: hagis
Title: Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity
Version: 2.0.0
Authors@R: c( person(given = "Austin G.", family = "McCoy", role = c("aut", "ccp"), email = "mccoyaus@msu.edu", comment = c(ORCID = "0000-0003-2483-4184")), person(given = "Zachary", family = "Noel", role = c("aut", "ccp"), email = "noelzach@msu.edu", comment = c(ORCID = "0000-0001-6375-8300")), person(given = "Adam H.", family = "Sparks", role = c("aut", "cre"), email = "adam.sparks@usq.edu.au", comment = c(ORCID = "0000-0002-0061-8359")), person(given = "Martin", family = "Chilvers", role = "aut", email = "chilvers@msu.edu ", comment = c(ORCID = "0000-0001-8832-1666")) )
Description: Analysis of plant pathogen pathotype survey data. Functions provided calculate distribution of susceptibilities, distribution of complexities with statistics, pathotype frequency distribution, as well as diversity indices for pathotypes. This package is meant to be a direct replacement for Herrmann, Löwer, Schachtel's (1999) <doi:10.1046/j.1365-3059.1999.00325.x> Habgood-Gilmour Spreadsheet, 'HaGiS', previously used for pathotype analysis.
Depends: R (>= 3.2.0)
Imports: data.table, ggplot2, graphics, pander, stats, utils, vegan
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: covr, knitr, pkgdown, rmarkdown, testthat, vdiffr
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Language: en-US
URL: https://github.com/openplantpathology/hagis, https://openplantpathology.github.io/hagis/
BugReports: https://github.com/openplantpathology/hagis/issues
X-schema.org-applicationCategory: Tools
X-schema.org-keywords: plant-pathology, pathotype, pathogen-survey, virulence analysis, differential set, assessment scale
X-schema.org-isPartOf: https://openplantpathology.org
NeedsCompilation: no
Packaged: 2019-06-22 03:09:55 UTC; adamsparks
Author: Austin G. McCoy [aut, ccp] (<https://orcid.org/0000-0003-2483-4184>), Zachary Noel [aut, ccp] (<https://orcid.org/0000-0001-6375-8300>), Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Martin Chilvers [aut] (<https://orcid.org/0000-0001-8832-1666>)
Maintainer: Adam H. Sparks <adam.sparks@usq.edu.au>
Repository: CRAN
Date/Publication: 2019-06-24 11:50:03 UTC

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Package lime updated to version 0.5.0 with previous version 0.4.1 dated 2018-11-21

Title: Local Interpretable Model-Agnostic Explanations
Description: When building complex models, it is often difficult to explain why the model should be trusted. While global measures such as accuracy are useful, they cannot be used for explaining why a model made a specific prediction. 'lime' (a port of the 'lime' 'Python' package) is a method for explaining the outcome of black box models by fitting a local model around the point in question an perturbations of this point. The approach is described in more detail in the article by Ribeiro et al. (2016) <arXiv:1602.04938>.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), Michaël Benesty [aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between lime versions 0.4.1 dated 2018-11-21 and 0.5.0 dated 2019-06-24

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New package blrm with initial version 1.0-1
Package: blrm
Title: Dose Escalation Design in Phase I Oncology Trial Using Bayesian Logistic Regression Modeling
Version: 1.0-1
Date: 2019-06-16
Author: Furong Sun <furongs@vt.edu>, Zhonggai Li <zli@bostonbiomedical.com>
Depends: R (>= 2.15.1)
Imports: boot, rjags, mvtnorm, openxlsx, reshape2
Description: Plan dose escalation design using adaptive Bayesian logistic regression modeling in Phase I oncology trial.
Maintainer: Furong Sun <furongs@vt.edu>
License: LGPL
NeedsCompilation: no
Packaged: 2019-06-21 18:16:05 UTC; furong
Repository: CRAN
Date/Publication: 2019-06-24 11:00:04 UTC

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Package inlabru updated to version 2.1.12 with previous version 2.1.9 dated 2018-07-24

Title: Spatial Inference using Integrated Nested Laplace Approximation
Description: Facilitates spatial modeling using integrated nested Laplace approximation via the INLA package (<http://www.r-inla.org>). Additionally, implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes based on ecological survey data. See Yuan Yuan, Fabian E. Bachl, Finn Lindgren, David L. Borchers, Janine B. Illian, Stephen T. Buckland, Havard Rue, Tim Gerrodette (2017), <arXiv:1604.06013>.
Author: Fabian E. Bachl [aut, cre] (Fabian Bachl wrote the main code), Finn Lindgren [aut] (<https://orcid.org/0000-0002-5833-2011>, Finn Lindgren wrote code for SPDE posterior plotting, and continued development of the main code), David L. Borchers [ctb] (David Borchers wrote code for Gorilla data import and sampling, multiplot tool), Daniel Simpson [ctb] (Daniel Simpson wrote the basic LGCP sampling method), Lindesay Scott-Howard [ctb] (Lindesay Scott-Howard provied MRSea data import code)
Maintainer: Fabian E. Bachl <bachlfab@gmail.com>

Diff between inlabru versions 2.1.9 dated 2018-07-24 and 2.1.12 dated 2019-06-24

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Package enc updated to version 0.2.1 with previous version 0.2.0 dated 2018-03-03

Title: Portable Tools for 'UTF-8' Character Data
Description: Implements an S3 class for storing 'UTF-8' strings, based on regular character vectors. Also contains routines to portably read and write 'UTF-8' encoded text files, to convert all strings in an object to 'UTF-8', and to create character vectors with various encodings.
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between enc versions 0.2.0 dated 2018-03-03 and 0.2.1 dated 2019-06-24

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Package interim updated to version 0.8.0 with previous version 0.7.0 dated 2017-07-12

Title: Scheduling Interim Analyses in Clinical Trials
Description: Allows the simulation of the recruitment and both the event and treatment phase of a clinical trial. Based on these simulations, the timing of interim analyses can be assessed.
Author: Bastian Becker, Katharina Mueller, Hermann Kulmann
Maintainer: Bastian Becker <bastian.becker@bayer.com>

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Package huxtable updated to version 4.6.0 with previous version 4.5.0 dated 2019-03-19

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Like 'xtable', creates styled tables. Export to HTML, LaTeX, 'Word', 'Excel', 'PowerPoint' and RTF. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package ClusVis updated to version 1.2.0 with previous version 1.1.0 dated 2018-04-19

Title: Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering
Description: Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering done on any type of data. Visualization is based on the probabilities of classification.
Author: Christophe Biernacki [aut], Matthieu Marbac [aut, cre], Vincent Vandewalle [aut]
Maintainer: Matthieu Marbac <matthieu.marbac@gmail.com>

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Package IceCast updated to version 2.1.0 with previous version 1.2.0 dated 2017-08-16

Title: Apply Statistical Post-Processing to Improve Sea Ice Predictions
Description: Tools for correcting biases and calibrating sea ice predictions obtained from dynamic ensemble models. Implements and extends Director et al. (2017) <doi:10.1175/JCLI-D-17-0185.1> This package depends on the 'ncdf4' and 'rgeos' R packages. These packages require installing externally from R Unidata's 'NetCDF' library and Geometry Engine - Open Source ('GEOS'). (See the 'rgeos' and 'ncdf4' packages for details.)
Author: Hannah M. Director, Adrian E. Raftery, and Cecilia M. Bitz
Maintainer: Hannah M. Director <direch@uw.edu>

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Package pomp updated to version 2.2 with previous version 2.1 dated 2019-06-03

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Daniel C. Reuman [ctb], Helen Wearing [ctb], Simon N. Wood [ctb], Sebastian Funk [ctb], Steven G. Johnson [ctb], Eamon O'Dea [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

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Package plothelper updated to version 0.1.3 with previous version 0.1.2 dated 2019-06-09

Title: New Plots Based on 'ggplot2' and Functions to Create Regular Shapes
Description: An extension to 'ggplot2' with miscellaneous functions. It contains two groups of functions: Functions in the first group draw 'ggplot2' - based plots: gg_shading_bar() draws barplot with shading colors in each bar. geom_rect_cm(), geom_circle_cm() and geom_ellipse_cm() draw rectangles, circles and ellipses with centimeter as their unit. Thus their sizes do not change when the coordinate system or the aspect ratio changes. annotation_transparent_text() draws labels with transparent texts. annotation_shading_polygon() draws irregular polygons with shading colors. Functions in the second group generate coordinates for regular shapes and make linear transformations.
Author: Jiang Wu [aut, cre] (from Capital Normal University)
Maintainer: Jiang Wu <textidea@sina.com>

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Package pbdSLAP updated to version 0.2-6 with previous version 0.2-5 dated 2019-04-08

Title: Programming with Big Data -- Scalable Linear Algebra Packages
Description: Utilizing scalable linear algebra packages mainly including 'BLACS', 'PBLAS', and 'ScaLAPACK' in double precision via 'pbdMPI' based on 'ScaLAPACK' version 2.0.2.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut], Brian Ripley [ctb] (Solaris & Mac)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package IDE updated to version 0.3.0 with previous version 0.2.0 dated 2018-08-07

Title: Integro-Difference Equation Spatio-Temporal Models
Description: The Integro-Difference Equation model is a linear, dynamical model used to model phenomena that evolve in space and in time; see, for example, Cressie and Wikle (2011, ISBN:978-0-471-69274-4) or Dewar et al. (2009) <doi:10.1109/TSP.2008.2005091>. At the heart of the model is the kernel, which dictates how the process evolves from one time point to the next. Both process and parameter reduction are used to facilitate computation, and spatially-varying kernels are allowed. Data used to estimate the parameters are assumed to be readings of the process corrupted by Gaussian measurement error. Parameters are fitted by maximum likelihood, and estimation is carried out using an evolution algorithm.
Author: Andrew Zammit-Mangion [aut, cre]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

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Package groupdata2 updated to version 1.1.0 with previous version 1.0.0 dated 2017-10-21

Title: Creating Groups from Data
Description: Subsetting methods for balanced cross-validation, time series windowing, and general grouping and splitting of data.
Author: Ludvig Renbo Olsen [aut, cre]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

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Package gggenes updated to version 0.4.0 with previous version 0.3.2 dated 2018-11-07

Title: Draw Gene Arrow Maps in 'ggplot2'
Description: Provides a 'ggplot2' geom and helper functions for drawing gene arrow maps.
Author: David Wilkins [aut, cre], Zachary Kurtz [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package colorSpec updated to version 1.0-1 with previous version 0.9-1 dated 2019-05-31

Title: Color Calculations with Emphasis on Spectral Data
Description: Calculate with spectral properties of light sources, materials, cameras, eyes, and scanners. Build complex systems from simpler parts using a spectral product algebra. For light sources, compute CCT, CRI, and SSI. For object colors, compute optimal colors and Logvinenko coordinates. Work with the standard CIE illuminants and color matching functions, and read spectra from text files, including CGATS files. Estimate a spectrum from its response. A user guide and 9 vignettes are included.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package QDComparison updated to version 3.0 with previous version 2.0 dated 2018-10-30

Title: Modern Nonparametric Tools for Two-Sample Quantile and Distribution Comparisons
Description: Allows practitioners to determine (i) if two univariate distributions (which can be continuous, discrete, or even mixed) are equal, (ii) how two distributions differ (shape differences, e.g., location, scale, etc.), and (iii) where two distributions differ (at which quantiles), all using nonparametric LP statistics. The primary reference is Jungreis, D. (2019, Technical Report).
Author: David Jungreis, Subhadeep Mukhopadhyay
Maintainer: David Jungreis <dbjungreis@gmail.com>

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