CRANberries

Wed, 28 Sep 2016

New package FuzzyR with initial version 2.0
Package: FuzzyR
Type: Package
Title: Fuzzy Logic Toolkit for R
Version: 2.0
Date: 2016-09-27
Author: Jon Garibaldi, Chao Chen, Tajul Razak
Maintainer: Jon Garibaldi <fuzzyr@cs.nott.ac.uk>
Depends: R (>= 3.0.0)
Imports: splines, shiny, plyr
Description: Design and simulate fuzzy logic systems using Type 1 Fuzzy Logic. This toolkit includes with graphical user interface (GUI) and an adaptive neuro-fuzzy inference system (ANFIS). This toolkit is a continuation from the previous package ('FuzzyToolkitUoN'). Produced by the Intelligent Modelling & Analysis Group, University of Nottingham.
License: GPL (>= 2)
LazyData: TRUE
URL: http://ima.ac.uk
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-27 19:23:26 UTC; psxtrr
Repository: CRAN
Date/Publication: 2016-09-28 08:34:05

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Tue, 27 Sep 2016

New package scdhlm with initial version 0.3
Package: scdhlm
Title: Estimating Hierarchical Linear Models for Single-Case Designs
Version: 0.3
Authors@R: person("James", "Pustejovsky", email = "jepusto@gmail.com", role = c("aut", "cre"))
Description: Provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>; and Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>.
URL: https://github.com/jepusto/scdhlm
BugReports: https://github.com/jepusto/scdhlm/issues
License: GPL-3
VignetteBuilder: knitr
LazyData: true
Imports: stats
Depends: nlme, R (>= 3.0.1)
Suggests: knitr, markdown, rmarkdown, ggplot2, plyr, boot, parallel, shiny, testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-27 15:33:19 UTC; jep2963
Author: James Pustejovsky [aut, cre]
Maintainer: James Pustejovsky <jepusto@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-27 21:29:27

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New package RNHANES with initial version 1.0
Package: RNHANES
Type: Package
Title: Facilitates Analysis of CDC NHANES Data
Version: 1.0
Date: 2016-09-27
Authors@R: c( person("Herb", "Susmann", email="susmann@silentspring.org", role=c("cre", "aut")), person("Silent Spring Institute", role = "cph") )
URL: http://github.com/silentspringinstitute/RNHANES
BugReports: https://github.com/silentspringinstitute/RNHANES/issues
Description: Tools for downloading and analyzing CDC NHANES data, with a focus on analytical laboratory data.
License: Apache License 2.0 | file LICENSE
LazyData: TRUE
Depends: R (>= 2.10)
Imports: foreign, survey, rvest, xml2, methods, dplyr
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-27 15:21:07 UTC; susmann
Author: Herb Susmann [cre, aut], Silent Spring Institute [cph]
Maintainer: Herb Susmann <susmann@silentspring.org>
Repository: CRAN
Date/Publication: 2016-09-27 21:32:39

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New package exprso with initial version 0.1.7
Package: exprso
Title: Rapid Implementation of Machine Learning Algorithms for Genomic Data
Version: 0.1.7
URL: http://github.com/tpq/exprso
BugReports: http://github.com/tpq/exprso/issues
Authors@R: c( person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre")), person("Daniel", "Tylee", email = "dantylee@gmail.com", role = "ctb") )
Description: Supervised machine learning has an increasingly important role in biological studies. However, the sheer complexity of classification pipelines poses a significant barrier to the expert biologist unfamiliar with machine learning. Moreover, many biologists lack the time or technical skills necessary to establish their own pipelines. This package introduces a framework for the rapid implementation of high-throughput supervised machine learning built with the biologist user in mind. Written by biologists, for biologists, this package provides a user-friendly interface that empowers investigators to execute state-of-the-art binary and multi-class classification, including deep learning, with minimal programming experience necessary.
License: GPL-2
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Imports: cluster, MASS, e1071, lattice, methods, mRMRe, nnet, pathClass, plyr, stats, randomForest, ROCR, sampling
Depends: R (>= 3.2.2), kernlab
Suggests: Biobase, GEOquery, h2o, golubEsets, knitr, limma, magrittr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2016-09-27 07:00:17 UTC; thom
Author: Thomas Quinn [aut, cre], Daniel Tylee [ctb]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-27 16:39:46

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New package neurobase with initial version 1.1.1.1
Package: neurobase
Type: Package
Title: 'Neuroconductor' Base Package with Helper Functions for 'nifti' Objects
Version: 1.1.1.1
Author: John Muschelli <muschellij2@gmail.com>
Maintainer: John Muschelli <muschellij2@gmail.com>
Description: Base package for 'Neuroconductor', which includes many helper functions that interact with objects of class 'nifti', implemented by package 'oro.nifti', for reading/writing and also other manipulation functions.
Imports: methods, matrixStats, R.utils, graphics, grDevices, stats, utils
Depends: oro.nifti (>= 0.5.0), R (>= 3.2.0)
License: GPL-2
Suggests: testthat
BugReports: https://github.com/muschellij2/nifti/issues
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-09-26 22:54:15 UTC; johnmuschelli
Repository: CRAN
Date/Publication: 2016-09-27 08:41:48

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Mon, 26 Sep 2016

New package TestFunctions with initial version 0.1.0
Package: TestFunctions
Type: Package
Title: Test Functions for Simulation Experiments and Evaluating Optimization and Emulation Algorithms
Version: 0.1.0
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>
Description: Test functions are often used to test computer code. They are used in optimization to test algorithms and in metamodeling to evaluate model predictions. This package provides test functions that can be used for any purpose. Some functions are taken from <https://www.sfu.ca/~ssurjano>, but their R code is not used.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-26 15:46:10 UTC; cbe117
Repository: CRAN
Date/Publication: 2016-09-27 00:42:33

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New package sdmpredictors with initial version 0.1.0
Package: sdmpredictors
Type: Package
Title: Species Distribution Modelling Predictor Datasets from Around the Web
Version: 0.1.0
Date: 2016-09-24
Depends: R (>= 3.2.5), raster (>= 2.5-8), rgdal (>= 1.1-10)
Imports: R.utils (>= 2.4.0), stats, utils,
Authors@R: person("Samuel", "Bosch", email = "mail@samuelbosch.com", role = c("aut", "cre"))
Maintainer: Samuel Bosch <mail@samuelbosch.com>
Description: Terrestrial and marine predictors for species distribution modelling from multiple sources, including WorldClim (http://www.worldclim.org/), Bio- ORACLE (http://www.oracle.ugent.be/) and MARSPEC (http://www.marspec.org/).
License: MIT + file LICENSE
LazyData: true
Suggests: biomod2, dismo, testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-26 18:12:41 UTC; swbosch
Author: Samuel Bosch [aut, cre]
Repository: CRAN
Date/Publication: 2016-09-27 00:46:34

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New package RSauceLabs with initial version 0.1.6
Package: RSauceLabs
Type: Package
Title: R Wrapper for 'SauceLabs' REST API
Version: 0.1.6
Authors@R: c(person("John", "Harrison", , "johndharrison0@gmail.com", role = c("aut", "cre")))
Description: Retrieve, update, delete job information from <https://saucelabs.com/>. Poll the 'SauceLabs' services current status and access supported platforms. Send and retrieve files from 'SauceLabs' and manage tunnels associated with 'SauceConnect'.
Depends: R (>= 3.0.0),httr,jsonlite,xml2,whisker,data.table
Suggests: covr, testthat
Encoding: UTF-8
License: GPL-3
RoxygenNote: 5.0.1
URL: http://johndharrison.github.io/RSauceLabs/
URLNote: https://github.com/johndharrison/RSauceLabs
BugReports: https://github.com/johndharrison/RSauceLabs/issues
NeedsCompilation: no
Packaged: 2016-09-26 17:15:17 UTC; john
Author: John Harrison [aut, cre]
Maintainer: John Harrison <johndharrison0@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-27 00:44:35

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New package PersomicsArray with initial version 1.0
Package: PersomicsArray
Type: Package
Title: Automated Persomics Array Image Extraction
Version: 1.0
Date: 2016-09-23
Authors@R: person("John", "Smestad", email = "smestad.john@gmail.com", role = c("aut", "cre"))
Author: John Smestad [aut, cre]
Maintainer: John Smestad <smestad.john@gmail.com>
Depends: R (>= 3.1.0), grDevices, jpeg, tiff, stringr, raster, utils, graphics, stats
Description: Automated identification of printed array positions from high content microscopy images and the export of those positions as individual images written to output as multi-layered tiff files.
License: GPL-3
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-09-26 17:11:45 UTC; m093616
Repository: CRAN
Date/Publication: 2016-09-26 23:59:25

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New package malani with initial version 1.0
Package: malani
Type: Package
Title: Machine Learning Assisted Network Inference
Version: 1.0
Author: Mehrab Ghanat Bari
Maintainer: Mehrab Ghanat Bari <m.ghanatbari@gmail.com>
Description: Find dark genes. These genes are often disregarded due to no detected mutation or differential expression, but are important in coordinating the functionality in cancer networks.
License: GPL-3
LazyData: TRUE
Depends: e1071, stats
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-26 17:54:07 UTC; m157258
Repository: CRAN
Date/Publication: 2016-09-26 23:44:53

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New package refimpact with initial version 0.1.0
Package: refimpact
Title: API Wrapper for the UK REF 2014 Impact Case Studies Database
Version: 0.1.0
Authors@R: person("Perry", "Stephenson", email = "perry.stephenson+cran@gmail.com", role = c("aut", "cre"))
Description: Provides wrapper functions around the UK Research Excellence Framework 2014 Impact Case Studies Database API <http://impact.ref.ac.uk/>. The database contains relevant publication and research metadata about each case study as well as several paragraphs of text from the case study submissions. Case studies in the database are licenced under a CC-BY 4.0 licence <http://creativecommons.org/licenses/by/4.0/legalcode>.
License: MIT + file LICENSE
URL: https://github.com/perrystephenson/refimpact
BugReports: https://github.com/perrystephenson/refimpact/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2.5)
Imports: curl (>= 2.1), jsonlite (>= 1.1), tibble (>= 1.2)
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-09-26 09:58:56 UTC; perrystephenson
Author: Perry Stephenson [aut, cre]
Maintainer: Perry Stephenson <perry.stephenson+cran@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-26 16:47:09

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New package TSS.RESTREND with initial version 0.1.02
Package: TSS.RESTREND
Type: Package
Title: Time Series Segmentation of Residual Trends
Version: 0.1.02
Authors@R: person("Arden", "Burrell", email = "arden.burrell@unsw.edu.au", role = c("aut", "cre"))
Description: To perform the Time Series Segmented Residual Trend (TSS-RESTREND) method. The full details are available in (Burrell et al. 2016???? To be updated after the paper is published).
License: GPL-3
LazyData: TRUE
Imports: stats, graphics, utils, bfast (>= 1.5.7), broom, strucchange, ggplot2, RcppRoll
Depends: R (>= 3.2.0)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-25 09:35:36 UTC; arden
Author: Arden Burrell [aut, cre]
Maintainer: Arden Burrell <arden.burrell@unsw.edu.au>
Repository: CRAN
Date/Publication: 2016-09-26 13:30:58

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New package sticky with initial version 0.3.3
Package: sticky
Type: Package
Title: Persist Object Attributes Across Data Operations
Description: In base R, object attributes are lost when objects are modified by common data operations such as subset, filter, slice, append, extract etc. This packages allows objects to be marked as 'sticky' and have resilient attributes that persist during these operations or when inserted into or extracted from recursive (i.e. list-or table-like) objects.
Version: 0.3.3
Date: 2016-09-25
Authors@R: c( person("Christopher", "Brown", , "chris.brown@decisionpatterns.com", c("aut", "cre") ), person("Decision Patterns", role = "cph") )
License: GPL-2 | file LICENSE
URL: https://github.com/decisionpatterns/sticky http://www.decisionpatterns.com
BugReports: https://github.com/decisionpatterns/sticky/issues
Depends: R (>= 3.1.0)
Imports: methods
Suggests: magrittr (>= 1.5), testthat (>= 0.10.0), data.table (>= 1.9.6), dplyr (>= 0.4.3), knitr, rmarkdown
LazyData: TRUE
Collate: 'init.R' 'sticky.R' 'append.R' 'extract1.R' 'print.R' 'subset.R' 'zzz.R'
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-26 09:52:35 UTC; cbrown
Author: Christopher Brown [aut, cre], Decision Patterns [cph]
Maintainer: Christopher Brown <chris.brown@decisionpatterns.com>
Repository: CRAN
Date/Publication: 2016-09-26 14:24:04

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New package QQperm with initial version 1.0
Package: QQperm
Type: Package
Title: Permutation Based QQ Plot and Inflation Factor Estimation
Version: 1.0
Date: 2016-09-25
Author: Slave Petrovski and Quanli Wang
Maintainer: Quanli Wang <quanli@stat.duke.edu>
Description: Provides users the necessary utility functions to generate permutation-based QQ plots and also estimate inflation factor based on the empirical NULL distribution. While it has general utility, it is particularly helpful when the skewness of the Fisher's Exact test in sparse data situations with imbalanced case-control sample sizes renders the reliance on the uniform chi-square expected distribution inappropriate.
License: GPL (>= 2)
Depends: R (>= 3.1.0)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-26 00:08:48 UTC; qw2192
Repository: CRAN
Date/Publication: 2016-09-26 08:03:33

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New package LendingClub with initial version 0.1.2
Package: LendingClub
Type: Package
Date: 2016-09-25
Title: A Lending Club API Wrapper
Version: 0.1.2
Author: Ryan Kuhn
Maintainer: "Ryan Kuhn, CPA" <kuhnrl30@gmail.com>
URL: https://github.com/kuhnrl30/LendingClub
BugReports: https://github.com/kuhnrl30/LendingClub/issues
Description: Functions to access Lending Club's API and assist the investor manage their account. Lending Club is a peer-to-peer lending service where loans are broken up into $25 notes that investors buy with the expectation of earning a return on the interest. You can learn more about the API here: <http://www.lendingclub.com/developers/lc-api.action>.
License: MIT + file LICENSE
LazyData: TRUE
BuildVignettes: TRUE
Suggests: knitr
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Imports: dplyr, httr, jsonlite, utils
NeedsCompilation: no
Packaged: 2016-09-26 02:48:43 UTC; Ryan
Repository: CRAN
Date/Publication: 2016-09-26 08:03:32

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New package combiter with initial version 0.1.0
Package: combiter
Type: Package
Title: Combinatorics Iterators
Version: 0.1.0
Authors@R: c( person("Kota", "Mori", email = "kmori05@gmail.com", role = c("aut", "cre")) )
Maintainer: Kota Mori <kmori05@gmail.com>
Description: Provides iterators for combinations, permutations, and subsets, which allow one to go through all elements without creating a huge set of all possible values.
License: MIT + file LICENSE
Depends: R (>= 3.1)
LazyData: TRUE
LinkingTo: Rcpp
Imports: iterators, itertools, Rcpp
RoxygenNote: 5.0.1
Suggests: combinat, fastmatch, testthat
URL: https://github.com/kota7/combiter
BugReports: https://github.com/kota7/combiter/issues
NeedsCompilation: yes
Packaged: 2016-09-25 23:07:25 UTC; kota
Author: Kota Mori [aut, cre]
Repository: CRAN
Date/Publication: 2016-09-26 08:03:41

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Sun, 25 Sep 2016

New package textmining with initial version 0.0.1
Package: textmining
Version: 0.0.1
Date: 2016-09-24
Title: Integration of Text Mining and Topic Modeling Packages
Authors@R: c( person("Jan", "Idziak", email = "JanIdziak@gmail.com", role = "cre"), person("Maciej", "Eder", email = "maciejeder@gmail.com", role = "aut"), person("Tomasz", "Melcer", email = "liori@exroot.org", role = "aut"), person("Andrew", "Goldstone", email = "andrew.goldstone@rutgers.edu", role = "cph"))
Maintainer: Jan Idziak <JanIdziak@gmail.com>
Description: A framework for text mining and topic modelling. It provides an easy interface for using different topic modeling methods within R, by integrating the already existing packages. Full functionality of the package requires a local installation of 'TreeTagger'.
Suggests: testthat, stringi, LDAvis
License: GPL-3
RoxygenNote: 5.0.1
Imports: mallet, rJava, networkD3, wordcloud, dplyr, koRpus, topicmodels, slam, methods, SnowballC
Depends: stylo, tm, NLP, caret
NeedsCompilation: no
Packaged: 2016-09-25 20:23:46 UTC; iWindows
Author: Jan Idziak [cre], Maciej Eder [aut], Tomasz Melcer [aut], Andrew Goldstone [cph]
Repository: CRAN
Date/Publication: 2016-09-26 00:56:23

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New package ensembleR with initial version 0.1.0
Package: ensembleR
Type: Package
Title: Ensemble Models in R
Version: 0.1.0
Author: Saurav Kaushik
Maintainer: Saurav Kaushik <sauravkaushik8@gmail.com>
Description: Functions to use ensembles of several machine learning models specified in caret package.
License: GPL-2
Imports: caret(>= 6.0-71)
Suggests: e1071, ipred, knitr, rmarkdown
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-25 12:24:27 UTC; SAURAV
Repository: CRAN
Date/Publication: 2016-09-25 16:42:02

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New package genderNames with initial version 0.1.0
Package: genderNames
Type: Package
Title: Client for the Genderize API That Determines the Gender of Names
Version: 0.1.0
Authors@R: person("Jacob", "Kaplan", email = "jacobkap@sas.upenn.edu", role = c ("aut", "cre"))
Depends: R (>= 2.10)
Imports: httr, jsonlite
Description: API client for genderize.io which will tell you the gender of the name you input. Use the first name of the person you are interested in to find their gender.
License: GPL
LazyData: TRUE
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-09-24 19:12:02 UTC; user
Author: Jacob Kaplan [aut, cre]
Maintainer: Jacob Kaplan <jacobkap@sas.upenn.edu>
Repository: CRAN
Date/Publication: 2016-09-25 15:09:39

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Sat, 24 Sep 2016

New package sparklyr with initial version 0.4
Package: sparklyr
Type: Package
Title: R Interface to Apache Spark
Version: 0.4
Authors@R: c( person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("aut", "cre")), person("Kevin", "Ushey", role = "aut", email = "kevin@rstudio.com"), person("JJ", "Allaire", role = "aut", email = "jj@rstudio.com"), person(family = "RStudio", role = c("cph")), person(family = "The Apache Software Foundation", role = c("aut", "cph")) )
Maintainer: Javier Luraschi <javier@rstudio.com>
Description: Provision, connect and interface to Apache Spark from within R. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
License: Apache License 2.0 | file LICENSE
BugReports: https://github.com/rstudio/sparklyr/issues
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: R (>= 3.1.2)
Imports: methods, magrittr, lazyeval (>= 0.2.0), tibble (>= 1.1), dplyr (>= 0.5.0), DBI (>= 0.4.1), readr (>= 0.2.0), digest, config, rappdirs, assertthat, rprojroot, withr
Suggests: testthat, RCurl
NeedsCompilation: no
Packaged: 2016-09-24 14:39:32 UTC; javierluraschi
Author: Javier Luraschi [aut, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph], The Apache Software Foundation [aut, cph]
Repository: CRAN
Date/Publication: 2016-09-24 22:40:18

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New package plogr with initial version 0.1-1
Package: plogr
Title: The 'plog' C++ Logging Library
Version: 0.1-1
Date: 2016-09-24
Authors@R: c( person("Kirill", "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org"), person("Sergey", "Podobry", role = "cph", comment = "Author of the bundled plog library"))
Description: A simple header-only logging library for C++. Add 'LinkingTo: plogr' to 'DESCRIPTION', and '#include <plogr.h>' in your C++ modules to use it.
Suggests: Rcpp
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/krlmlr/plogr#readme
BugReports: https://github.com/krlmlr/plogr/issues
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-09-24 12:08:49 UTC; muelleki
Author: Kirill Müller [aut, cre], Sergey Podobry [cph] (Author of the bundled plog library)
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2016-09-24 18:23:26

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New package AmyloGram with initial version 1.0
Package: AmyloGram
Type: Package
Title: Prediction of Amyloid Proteins
Version: 1.0
LazyData: TRUE
Date: 2016-09-23
Authors@R: c(person("Michal", "Burdukiewicz", email = "michalburdukiewicz@gmail.com", role = c("cre", "aut")), person("Piotr", "Sobczyk", email = "sobbombo@gmail.com", role = "ctb"), person("Stefan", "Roediger", email = "stefan.roedigier@b-tu.de", role = "ctb"))
Description: Predicts amyloid proteins using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
License: GPL-3
URL: https://github.com/michbur/AmyloGram
BugReports: https://github.com/michbur/AmyloGram/issues
RoxygenNote: 5.0.1
Depends: R (>= 3.0.0)
Imports: biogram, ranger, seqinr, shiny
Suggests: DT, ggplot2, knitr, markdown, rmarkdown
Repository: CRAN
NeedsCompilation: no
Packaged: 2016-09-23 22:00:52 UTC; Michal
Author: Michal Burdukiewicz [cre, aut], Piotr Sobczyk [ctb], Stefan Roediger [ctb]
Maintainer: Michal Burdukiewicz <michalburdukiewicz@gmail.com>
Date/Publication: 2016-09-24 13:40:09

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New package Rdice with initial version 1.0.0
Package: Rdice
Type: Package
Title: A Collection of Functions to Experiment Dice Rolls
Version: 1.0.0
Author: Gennaro Tedesco
Maintainer: Gennaro Tedesco: <gennarotedesco@gmail.com>
Description: A collection of functions to simulate dice rolls and the like. In particular, experiments and exercises can be performed looking at combinations and permutations of values in dice rolls and coin flips, together with the corresponding frequencies of occurrences. When applying each function, the user has to input the number of times (rolls, flips) to toss the dice. Needless to say, the more the tosses, the more the frequencies approximate the actual probabilities. Moreover, the package provides functions to generate non-transitive sets of dice (like Efron's) and to check whether a given set of dice is non-transitive with given probability.
Imports: data.table
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-23 20:26:15 UTC; gennaro
Repository: CRAN
Date/Publication: 2016-09-24 12:58:32

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New package QRAGadget with initial version 0.1.0
Package: QRAGadget
Version: 0.1.0
Title: A 'Shiny' Gadget for Interactive 'QRA' Visualizations
Description: Upload raster data and easily create interactive quantitative risk analysis 'QRA' visualizations. Select from numerous color palettes, base-maps, and different configurations.
URL: https://github.com/paulgovan/qragadget
BugReports: https://github.com/paulgovan/qragadget/issues
Authors@R: person("Paul", "Govan", email = "pgovan1@aggienetwork.com", role = c("aut", "cre"))
Depends: R (>= 2.10.0)
License: Apache License | file LICENSE
LazyData: TRUE
Imports: htmlwidgets, leaflet, magrittr, miniUI, raster, scales, shiny, sp
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-23 16:50:30 UTC; paulgovan
Author: Paul Govan [aut, cre]
Maintainer: Paul Govan <pgovan1@aggienetwork.com>
Repository: CRAN
Date/Publication: 2016-09-24 12:55:59

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New package pkmon with initial version 0.9
Package: pkmon
Type: Package
Title: Least-Squares Estimator under k-Monotony Constraint for Discrete Functions
Version: 0.9
Date: 2016-09-20
Author: Jade Giguelay
Maintainer: Jade Giguelay <jade.giguelay@ens-paris-saclay.fr>
Description: We implement two least-squares estimators under k-monotony constraint using a method based on the Support Reduction Algorithm from Groeneboom et al (2008) <DOI:10.1111/j.1467-9469.2007.00588.x>. The first one is a projection estimator on the set of k-monotone discrete functions. The second one is a projection on the set of k-monotone discrete probabilities. This package provides functions to generate samples from the spline basis from Lefevre and Loisel (2013) <DOI:10.1239/jap/1378401239>, and from mixtures of splines.
License: CC BY 4.0
Packaged: 2016-09-23 13:57:37 UTC; jgiguelay
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-09-24 12:40:13

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Fri, 23 Sep 2016

New package rptR with initial version 0.9.0
Package: rptR
Title: Repeatability Estimation for Gaussian and Non-Gaussian Data
Version: 0.9.0
Depends: R (>= 3.2.1)
Date: 2016-09-23
Author: Holger Schielzeth <holger.schielzeth@uni-jena.de>, Martin Stoffel <martin.adam.stoffel@gmail.com>, Shinichi Nakagawa <s.nakagawa@unsw.edu.au>
Maintainer: Martin Stoffel <martin.adam.stoffel@gmail.com>
Description: R functions for estimating repeatability (intra-class correlation) from gaussian, binary, proportion and count data.
License: GPL (>= 2)
Imports: methods, stats, lme4, parallel (>= 3.1.2)
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-23 09:18:47 UTC; martin
Repository: CRAN
Date/Publication: 2016-09-23 11:31:44

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Thu, 22 Sep 2016

New package trelloR with initial version 0.1.0
Package: trelloR
Title: R API for Trello
Version: 0.1.0
Authors@R: c( person("Jakub", "Chromec", , "chromec.jakub@gmail.com", role = c("aut", "cre")), person("Irina", "Matusevich", role = "ctb") )
Description: Provides access to Trello API (<https://developers.trello.com/>). A family of GET functions make it easy to retrieve cards, labels, members, teams and other data from both public and private boards. Server responses are formatted upon retrieval. Automated paging allows for large requests that exceed server limit. See <https://github.com/jchrom/trelloR> for more information.
Depends: R (>= 3.2.3)
Imports: dplyr (>= 0.5), httr (>= 1.2), jsonlite (>= 1.0)
License: GPL-3
LazyData: true
URL: https://github.com/jchrom/trelloR
BugReports: https://github.com/jchrom/trelloR/issues
Date: 2016-09-22
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-22 20:06:28 UTC; jakub
Author: Jakub Chromec [aut, cre], Irina Matusevich [ctb]
Maintainer: Jakub Chromec <chromec.jakub@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-23 00:01:56

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New package radiant with initial version 0.6.0
Package: radiant
Type: Package
Title: Business Analytics using R and Shiny
Version: 0.6.0
Date: 2016-9-21
Authors@R: person("Vincent", "Nijs", , "radiant@rady.ucsd.edu", c("aut", "cre"))
Description: A platform-independent browser-based interface for business analytics in R, based on the 'shiny' package. The application combines the functionality of 'radiant.data', 'radiant.design', 'radiant.basics', 'radiant.model', and 'radiant.multivariate'.
Depends: R (>= 3.3.0), radiant.data (>= 0.6.0), radiant.design (>= 0.6.0), radiant.basics (>= 0.6.0), radiant.model (>= 0.6.0), radiant.multivariate (>= 0.6.0)
Imports: psych (>= 1.6.6), AlgDesign (>= 1.1.7.3), shiny (>= 0.14), import (>= 1.1.0)
Suggests: testthat (>= 1.0.0), covr (>= 1.2.0), knitr, rmarkdown
URL: https://github.com/radiant-rstats/radiant
BugReports: https://github.com/radiant-rstats/radiant/issues
License: AGPL-3 | file LICENSE
LazyData: true
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-22 02:12:52 UTC; vnijs
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>
Repository: CRAN
Date/Publication: 2016-09-22 23:56:19

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New package dfphase1 with initial version 1.0
Package: dfphase1
Type: Package
Title: Phase I Control Charts (with Emphasis on Distribution-Free Methods)
Version: 1.0
Author: Giovanna Capizzi and Guido Masarotto
Maintainer: Giovanna Capizzi <giovanna.capizzi@unipd.it>
Description: Statistical methods for retrospectively detecting changes in location and/or dispersion of univariate and multivariate variables. Data can be individual (one observation at each instant of time) or subgrouped (more than one observation at each instant of time). Control limits are computed, often using a permutation approach, so that a prescribed false alarm probability is guaranteed without making any parametric assumptions on the stable (in-control) distribution.
License: LGPL (>= 2)
Imports: Rcpp (>= 0.11.1), lattice, robustbase
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2016-09-20 10:33:19 UTC; guido
Repository: CRAN
Date/Publication: 2016-09-22 23:58:08

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New package plotluck with initial version 1.0.0
Package: plotluck
Title: 'ggplot2' Version of "I'm Feeling Lucky!"
Version: 1.0.0
Authors@R: person("Stefan", "Schroedl", , "stefan.schroedl@gmx.de", c("aut", "cre"))
Description: Examines the characteristics of a data frame and a formula to automatically choose the most suitable type of plot out of the following supported options: scatter, violin, box, bar, density, hexagon bin, spine plot, and heat map. The aim of the package is to let the user focus on what to plot, rather than on the "how" during exploratory data analysis. It also automates handling of observation weights, logarithmic axis scaling, reordering of factor levels, and overlaying smoothing curves and median lines. Plots are drawn using 'ggplot2'.
Depends: R (>= 3.3.1)
Imports: ggplot2 (>= 2.1.0), Hmisc (>= 3.17.4), quantreg (>= 5.26), scales (>= 0.4.0), plyr (>= 1.8.4), grid (>= 3.3.1), hexbin (>= 1.27.1), RColorBrewer (>= 1.1.2)
License: MIT + file LICENSE
URL: https://github.com/stefan-schroedl/plotluck
BugReports: https://github.com/stefan-schroedl/plotluck/issues
LazyData: true
Suggests: testthat, ggplot2movies, mgcv, nlme, knitr, rmarkdown, gapminder
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-22 16:04:07 UTC; stefan
Author: Stefan Schroedl [aut, cre]
Maintainer: Stefan Schroedl <stefan.schroedl@gmx.de>
Repository: CRAN
Date/Publication: 2016-09-22 23:06:41

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New package strategicplayers with initial version 1.0
Package: strategicplayers
Type: Package
Title: Strategic Players
Version: 1.0
Date: 2016-09-05
Author: Miles Ott
Maintainer: Miles Ott <miles_ott@alumni.brown.edu>
Description: Identifies individuals in a social network who should be the intervention subjects for a network intervention in which you have a group of targets, a group of avoiders, and a group that is neither.
License: GPL-3
Imports: sna
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-05 18:33:46 UTC; Miles
Repository: CRAN
Date/Publication: 2016-09-22 17:10:02

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New package RcmdrPlugin.PcaRobust with initial version 1.1.4
Package: RcmdrPlugin.PcaRobust
Type: Package
Title: R Commander Plug-in for Robust Principal Component Analysis
Version: 1.1.4
Date: 2016-09-21
Author: Monalisa Sipahutar <11.6790@stis.ac.id>,Setia Pramana, Achmad Fauzi
Maintainer: Achmad Fauzi Bagus F <fauzi.pandya@gmail.com>
Description: The R commander plug-in for robust principal component analysis. The Graphical User Interface for Principal Component Analysis (PCA) with Hubert Algorithm method.
Depends: R (>= 3.1.3)
Imports: rrcov,tkrplot, Rcmdr, robustbase
License: GPL-2
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-22 09:05:26 UTC; Achmad Fauzi
Repository: CRAN
Date/Publication: 2016-09-22 16:50:48

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New package emon with initial version 1.3
Package: emon
Type: Package
Title: Tools for Environmental and Ecological Survey Design
Version: 1.3
Date: 2016-09-21
Author: Jon Barry and David Maxwell
Maintainer: Jon Barry <jon.barry@cefas.co.uk>
Imports: mgcv, MASS
Description: Statistical tools for environmental and ecological surveys. Simulation-based power and precision analysis; detection probabilities from different survey designs; visual fast count estimation.
License: GPL-3
Repository: CRAN
Repository/R-Forge/Project: emon
Repository/R-Forge/Revision: 11
Repository/R-Forge/DateTimeStamp: 2016-09-21 10:41:48
Date/Publication: 2016-09-22 16:50:57
NeedsCompilation: no
Packaged: 2016-09-21 10:45:45 UTC; rforge

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New package uwIntroStats with initial version 0.0.3
Package: uwIntroStats
Type: Package
Title: Descriptive Statistics, Inference, Regression, and Plotting in an Introductory Statistics Course
Version: 0.0.3
Date: 2016-09-15
Maintainer: Travis Y. Hee Wai <theewai@uw.edu>
Authors@R: c(person(given = "Scott S.", family = "Emerson", role = "aut"), person(given = "Andrew J.", family = "Spieker", role = "aut"), person(given = "Brian D.", family = "Williamson", role= "aut"), person(given = "Travis Y.", family = "Hee Wai", role = c("aut","cre"),email="theewai@uw.edu"), person(given = "Solomon", family = "Lim", role = "aut"), person("R Core Team", role = "ctb"), person(given = "Terry M", family = "Therneu", role = "ctb"), person("Thomas", "Lumley", role = "ctb"))
Description: A set of tools designed to facilitate easy adoption of R for students in introductory classes with little programming experience. Compiles output from existing routines together in an intuitive format, and adds functionality to existing functions. For instance, the regression function can perform linear models, generalized linear models, Cox models, or generalized estimating equations. The user can also specify multiple-partial F-tests to print out with the model coefficients. We also give many routines for descriptive statistics and plotting.
Imports: Exact, geepack, plyr, survival, sandwich
License: GPL-2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-21 19:52:40 UTC; travhw
Author: Scott S. Emerson [aut], Andrew J. Spieker [aut], Brian D. Williamson [aut], Travis Y. Hee Wai [aut, cre], Solomon Lim [aut], R Core Team [ctb], Terry M Therneu [ctb], Thomas Lumley [ctb]
Repository: CRAN
Date/Publication: 2016-09-22 09:23:01

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New package sensitivityfull with initial version 1.0.0
Package: sensitivityfull
Type: Package
Title: Sensitivity Analysis for Full Matching in Observational Studies
Version: 1.0.0
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu>
Description: Sensitivity to unmeasured biases in an observational study that is a full match.
Imports: stats
License: GPL-2
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-09-21 20:04:53 UTC; rosenbap
Repository: CRAN
Date/Publication: 2016-09-22 09:22:58

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New package darksky with initial version 1.0.0
Package: darksky
Type: Package
Title: Tools to Work with the Dark Sky API
Version: 1.0.0
Date: 2016-09-21
Authors@R: c( person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")), person("Lasse", "Vilhelmsen", role=c("ctb")) )
Maintainer: Bob Rudis <bob@rud.is>
Description: Provides programmatic access to the Dark Sky API <https://darksky.net/dev/docs>, which provides current or historical global weather conditions.
URL: https://github.com/hrbrmstr/darksky
Suggests: testthat
Imports: stats, httr, dplyr, grid, gridExtra, gtable, ggplot2
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
BugReports: https://github.com/hrbrmstr/darksky/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-21 23:25:06 UTC; bob
Author: Bob Rudis [aut, cre], Lasse Vilhelmsen [ctb]
Repository: CRAN
Date/Publication: 2016-09-22 09:22:49

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Wed, 21 Sep 2016

New package textgRid with initial version 1.0.1
Package: textgRid
Title: Praat TextGrid Objects in R
Version: 1.0.1
Authors@R: person("Patrick", "Reidy", email = "patrick.francis.reidy@gmail.com", role = c("aut", "cre"))
Description: The software application Praat can be used to annotate waveform data (e.g., to mark intervals of interest or to label events). (See <http://www.fon.hum.uva.nl/praat/> for more information about Praat.) These annotations are stored in a Praat TextGrid object, which consists of a number of interval tiers and point tiers. An interval tier consists of sequential (i.e., not overlapping) labeled intervals. A point tier consists of labeled events that have no duration. The 'textgRid' package provides S4 classes, generics, and methods for accessing information that is stored in Praat TextGrid objects.
Depends: R (>= 3.2.3)
Imports: methods
Suggests: testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Collate: 'Tier-class.R' 'IntervalTier-class.R' 'IntervalTier-accessors.R' 'IntervalTier-constructor.R' 'IntervalTier-utilities.R' 'PointTier-class.R' 'PointTier-accessors.R' 'PointTier-constructor.R' 'PointTier-utilities.R' 'TextGrid-class.R' 'TextGrid-accessors.R' 'TextGrid-constructor.R' 'TextGrid-utilities.R' 'Tier-accessors.R' 'Tier-utilities.R' 'finders.R' 'textgRid.R'
URL: www.praat.org, http://www.fon.hum.uva.nl/praat/manual/TextGrid.html
BugReports: https://github.com/patrickreidy/textgRid
NeedsCompilation: no
Packaged: 2016-09-21 17:06:13 UTC; patrick
Author: Patrick Reidy [aut, cre]
Maintainer: Patrick Reidy <patrick.francis.reidy@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-21 19:55:20

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New package BIOMASS with initial version 1.0
Package: BIOMASS
Type: Package
Title: Estimating Above-Ground Biomass and Its Uncertainty in Tropical Forests
Version: 1.0
Date: 2016-08-24
Author: Maxime REJOU-MECHAIN, Ariane TANGUY, Camille PIPONIOT, Jerome CHAVE, Bruno HERAULT
Maintainer: Maxime REJOU-MECHAIN <maxime.rejou@gmail.com>
Description: Contains data analysis functions to estimate above-ground biomass and its uncertainty in tropical forests. BIOMASS functions allow to (1) retrieve and to correct taxonomy, (2) estimate wood density and its uncertainty, (3) construct height-diameter models, (4) estimate the above-ground biomass at the stand level with associated uncertainty.
License: GPL-2
Depends: R(>= 2.10.0)
Imports: minpack.lm, raster, msm, httr, jsonlite, methods, graphics, stats, utils
NeedsCompilation: no
Packaged: 2016-09-21 14:50:44 UTC; U051-E826
Repository: CRAN
Date/Publication: 2016-09-21 19:27:29

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New package neuropsychology with initial version 0.1
Package: neuropsychology
Type: Package
Title: An R Toolbox for Psychologists, Neuropsychologists and Neuroscientists
Version: 0.1
Authors@R: c(person("Dominique", "Makowski", email="dom.makowski@gmail.com", role=c("aut", "cre")))
Author: Dominique Makowski [aut, cre]
URL: https://github.com/neuropsychology/neuropsychology.R
Date: 2016-09-21
Maintainer: Dominique Makowski <dom.makowski@gmail.com>
Description: An R package containing datasets and some statistical functions useful for psychology, neuropsychology and neuroscience.
License: MIT + file LICENSE
Depends: R (>= 3.3.0), Hmisc (>= 3.15), ggplot2 (>= 2.0.0), ggcorrplot (>= 0.1.0), lme4 (>= 1.1.0), MuMIn (>= 1.15.6)
Imports:
LazyData: TRUE
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-09-21 14:09:20 UTC; Dom
Repository: CRAN
Date/Publication: 2016-09-21 16:29:56

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New package downsize with initial version 0.1.0
Package: downsize
Title: A Tool to Scale Down Large Workflows for Testing
Version: 0.1.0
Date: 2016-09-19
Authors@R: person("Landau", "William", email = "will.landau@gmail.com", role = c("aut", "cre"))
Description: Toggles the test and production versions of a large workflow.
License: GPL (>= 3)
Depends: R (>= 3.0.0)
Imports: dplyr, R.utils, utils
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/wlandau/downsize
BugReports: https://github.com/wlandau/downsize/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-21 04:55:30 UTC; landau
Author: Landau William [aut, cre]
Maintainer: Landau William <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-21 15:40:55

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New package Barycenter with initial version 1.0
Package: Barycenter
Encoding: latin1
Type: Package
Title: Wasserstein Barycenter
Version: 1.0
Date: 2016-9-19
Author: Marcel Klatt
Maintainer: Marcel Klatt <marcel.klatt@stud.uni-goettingen.de>
Description: Computation of a Wasserstein Barycenter. The package implements a method described in Cuturi (2014) "Fast Computation of Wasserstein Barycenters". The paper is available at <http://jmlr.org/proceedings/papers/v32/cuturi14.pdf>. To speed up the computation time the main iteration step is based on 'RcppArmadillo'.
License: GPL-2
LazyData: TRUE
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 2.10.0), Rcpp (>= 0.11.1)
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-09-21 11:34:07 UTC; Cello
Repository: CRAN
Date/Publication: 2016-09-21 15:40:51

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New package colorplaner with initial version 0.1.1
Package: colorplaner
Type: Package
Title: A ggplot2 Extension to Visualize Two Variables per Color Aesthetic Through Color Space Projections
Version: 0.1.1
Date: 2016-09-20
Authors@R: c(person("William", "Murphy", email = "william.murphy.rd@gmail.com", role = c("aut", "cre")), person("Hadley", "Wickham", role = "ctb", comment = "Original author for copied and derived code"), person("Winston", "Chang", role = "ctb", comment = "Original author for copied and derived code"))
Description: A ggplot2 extension to visualize two variables through one color aesthetic via mapping to a color space projection. With this technique for 2-D color mapping, one can create a dichotomous choropleth in R as well as other visualizations with bivariate color scales. Includes two new scales and a new guide for ggplot2.
License: GPL-2
LazyData: TRUE
Imports: grid, scales, gtable, digest, ggplot2 (>= 2.0.0)
Depends: R (>= 3.1)
Suggests: testthat, maps, mapproj, knitr, rmarkdown, covr
RoxygenNote: 5.0.1
Copyright: Copyright 2016 William Murphy. colorplaner is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation,version 2. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http:// www.gnu.org/licenses/>.
VignetteBuilder: knitr
URL: https://github.com/wmurphyrd/colorplaner
BugReports: https://github.com/wmurphyrd/colorplaner/issues
Collate: 'other_package_compatibility.R' 'colorplane.R' 'ScaleColorPlane.R' 'colorplaner.R' 'guide_colorplane.R'
NeedsCompilation: no
Packaged: 2016-09-21 02:05:30 UTC; William
Author: William Murphy [aut, cre], Hadley Wickham [ctb] (Original author for copied and derived code), Winston Chang [ctb] (Original author for copied and derived code)
Maintainer: William Murphy <william.murphy.rd@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-21 07:27:39

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Tue, 20 Sep 2016

New package Counterfactual with initial version 1.0
Package: Counterfactual
Type: Package
Title: Estimation and Inference Methods for Counterfactual Analysis
Version: 1.0
Author: Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly
Maintainer: Ivan Fernandez-Val <ivanf@bu.edu>
Description: Implements the estimation and inference methods for counterfactual analysis described in Chernozhukov, Fernandez-Val and Melly (2013) <DOI:10.3982/ECTA10582> "Inference on Counterfactual Distributions," Econometrica, 81(6). The counterfactual distributions considered are the result of changing either the marginal distribution of covariates related to the outcome variable of interest, or the conditional distribution of the outcome given the covariates. They can be applied to estimate quantile treatment effects and wage decompositions.
License: GPL (>= 2)
LazyLoad: yes
Depends: quantreg
Imports: survival, Hmisc, foreach, doRNG, doParallel, parallel
NeedsCompilation: no
Packaged: 2016-09-20 02:27:32 UTC; m.chen.3
Repository: CRAN
Date/Publication: 2016-09-21 01:25:22

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New package furniture with initial version 1.0.1
Package: furniture
Type: Package
Title: Furniture for Health, Behavioral, and Social Scientists
Version: 1.0.1
Date: 2016-09-15
Authors@R: c(person("Tyson", "Barrett", role=c("aut","cre"), email = "t.barrett@aggiemail.usu.edu"), person("Emily", "Brignone", role="aut"))
Author: Tyson Barrett [aut, cre], Emily Brignone [aut]
Maintainer: Tyson Barrett <t.barrett@aggiemail.usu.edu>
Description: Package contains two functions (i.e., two pieces of furniture): table1() which produces a well-formatted table of descriptives common in research articles; and washer() which is helpful in cleaning up your data. Should be useful for quantitative research in applied fields (e.g., health, behavioral, and social sciences).
Depends: knitr, lazyeval, car
Suggests: MASS, dplyr
Encoding: UTF-8
License: GPL-2
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-20 19:17:02 UTC; tysonbarrett
Repository: CRAN
Date/Publication: 2016-09-20 23:51:22

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New package samplesizelogisticcasecontrol with initial version 0.0.5
Package: samplesizelogisticcasecontrol
Title: Sample Size Calculations for Case-Control Studies
Version: 0.0.5
Date: 2016-09-19
Author: Mitchell H. Gail
Description: To determine sample size for case-control studies to be analyzed using logistic regression.
Maintainer: William Wheeler <WheelerB@imsweb.com>
Depends: mvtnorm
License: GPL-2
NeedsCompilation: no
Packaged: 2016-09-20 12:25:29 UTC; wheelerwi
Repository: CRAN
Date/Publication: 2016-09-20 23:07:38

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New package aspi with initial version 0.2.0
Package: aspi
Type: Package
Title: Analysis of Symmetry of Parasitic Infections
Version: 0.2.0
Date: 2016-09-18
Author: Matt Wayland
Maintainer: Matt Wayland <mw283@cam.ac.uk>
Description: Tools for the analysis and visualization of bilateral asymmetry in parasitic infections.
Depends: R (>= 2.10)
License: GPL-3
LazyData: TRUE
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-20 15:16:03 UTC; matt
Repository: CRAN
Date/Publication: 2016-09-20 18:46:39

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New package ctl with initial version 1.0.0-0
Package: ctl
Version: 1.0.0-0
Date: 2016-09-16
Title: Correlated Trait Locus (CTL) Mapping in R
Author: Danny Arends <Danny.Arends@gmail.com>
Maintainer: Danny Arends <Danny.Arends@gmail.com>
Depends: R (>= 2.10), MASS, qtl
Description: Analysis of genetical genomic data to identify genetic loci associated with correlation changes in quantitative traits (CTL).
License: GPL-3
NeedsCompilation: yes
Packaged: 2016-09-20 07:01:39 UTC; arends
Repository: CRAN
Date/Publication: 2016-09-20 15:39:01

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New package msaenet with initial version 1.0
Package: msaenet
Type: Package
Title: Multi-Step Adaptive Elastic-Net
Version: 1.0
Author: Nan Xiao <me@nanx.me>
Maintainer: Nan Xiao <me@nanx.me>
Description: Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions.
License: GPL
URL: http://msaenet.com
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/road2stat/msaenet/issues
Depends: R (>= 3.0.2)
Imports: glmnet, foreach, mvtnorm, Matrix, lattice
Suggests: knitr, rmarkdown, doParallel
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-20 06:06:24 UTC; jimmy
Repository: CRAN
Date/Publication: 2016-09-20 09:21:35

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New package fastLSU with initial version 0.1.0
Package: fastLSU
Title: Fast Linear Step Up Procedure of Benjamini–Hochberg FDR Method for Huge-Scale Testing Problems
Version: 0.1.0
Author: Xikun Han <hanxikun2014@163.com>, Vered Madar <vered.madar@gmail.com> and Sandra Batista <sbatista@cs.princeton.edu>
Maintainer: Xikun Han <hanxikun2014@163.com>
Description: An efficient algorithm to apply the Benjamini–Hochberg Linear Step Up FDR controlling procedure in huge-scale testing problems (proposed in Vered Madar and Sandra Batista(2016) <DOI:10.1093/bioinformatics/btw029>). Unlike "BH" method, the package does not require any p value ordering. Besides, it permits separating p values arbitrarily into computationally feasible chunks of arbitrary size and produces the same results as those from applying linear step up BH procedure to the entire set of tests.
Depends: R (>= 3.0.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Date: 2016-09-01
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-20 06:45:14 UTC; 1159225156
Repository: CRAN
Date/Publication: 2016-09-20 09:21:34

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Mon, 19 Sep 2016

New package UCR.ColumnNames with initial version 0.1.0
Package: UCR.ColumnNames
Type: Package
Title: Fixes Column Names for Uniform Crime Report "Offenses Known and Clearance by Arrest" Datasets
Version: 0.1.0
Authors@R: person("Jacob", "Kaplan", email = "jacobkap@sas.upenn.edu", role = c ("aut", "cre"))
Depends: R (>= 2.10)
Description: Changes the column names of the inputted dataset to the correct names from the Uniform Crime Report codebook for the "Offenses Known and Clearance by Arrest" datasets from 1998-2014.
License: GPL
LazyData: TRUE
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-09-19 13:05:40 UTC; user
Author: Jacob Kaplan [aut, cre]
Maintainer: Jacob Kaplan <jacobkap@sas.upenn.edu>
Repository: CRAN
Date/Publication: 2016-09-19 16:04:42

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New package rakeR with initial version 0.1.1
Package: rakeR
Title: Easy Spatial Microsimulation (Raking) in R
Version: 0.1.1
Authors@R: c( person("Phil Mike", "Jones", email = "philmikejones@gmail.com", role = c("aut", "cre")), person("Robin", "Lovelace", role = "aut", comment = "Many functions are based on code by Robin Lovelace and Morgane Dumont"), person("Morgane", "Dumont", role = "aut", comment = "Many functions are based on code by Robin Lovelace and Morgane Dumont"))
Description: Functions for performing spatial microsimulation ('raking') in R.
Depends: R (>= 3.3.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Imports: ipfp
Suggests: testthat, readr
URL: https://github.com/philmikejones/rakeR
BugReports: https://github.com/philmikejones/rakeR/issues
NeedsCompilation: no
Packaged: 2016-09-19 09:04:03 UTC; ggp13pmj
Author: Phil Mike Jones [aut, cre], Robin Lovelace [aut] (Many functions are based on code by Robin Lovelace and Morgane Dumont), Morgane Dumont [aut] (Many functions are based on code by Robin Lovelace and Morgane Dumont)
Maintainer: Phil Mike Jones <philmikejones@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-19 11:19:57

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New package htdp with initial version 0.1.4
Package: htdp
Type: Package
Title: Horizontal Time Dependent Positioning
Version: 0.1.4
Date: 2016-09-19
Authors@R: c( person("John", "Buonagurio", , "jbuonagurio@exponent.com", role = c("aut", "cre")), person("National Geodetic Survey", , , "ngs.cors.htdp@noaa.gov", role = "cph", comment = "Author of included HTDP code") )
Maintainer: John Buonagurio <jbuonagurio@exponent.com>
Description: Provides bindings to the National Geodetic Survey (NGS) Horizontal Time Dependent Positioning (HTDP) utility, v3.2.5, written by Richard Snay, Chris Pearson, and Jarir Saleh of NGS. HTDP is a utility that allows users to transform positional coordinates across time and between spatial reference frames. See <https://www.ngs.noaa.gov/TOOLS/Htdp/Htdp.shtml> for more information.
License: MIT + file LICENSE
LazyData: TRUE
Imports: Rcpp (>= 0.12.5)
LinkingTo: Rcpp
URL: https://github.com/jbuonagurio/RHTDP
BugReports: https://github.com/jbuonagurio/RHTDP/issues
NeedsCompilation: yes
Packaged: 2016-09-19 06:32:29 UTC; jbuonagurio
Author: John Buonagurio [aut, cre], National Geodetic Survey [cph] (Author of included HTDP code)
Repository: CRAN
Date/Publication: 2016-09-19 11:06:08

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New package Tlasso with initial version 1.0.1
Package: Tlasso
Type: Package
Title: Non-Convex Optimization and Statistical Inference for Sparse Tensor Graphical Models
Version: 1.0.1
Description: An optimal alternating optimization algorithm for estimation of precision matrices of sparse tensor graphical models, and an efficient inference procedure for support recovery of the precision matrices.
Imports: huge, expm, rTensor, igraph, stats, graphics
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Author: Will Wei Sun, Zhaoran Wang, Xiang Lyu, Han Liu, Guang Cheng
Maintainer: Xiang Lyu <lyu17@purdue.edu>
Depends: R (>= 3.1.1)
License: GPL (>= 2)
LazyData: true
RoxygenNote: 5.0.1
Packaged: 2016-09-19 03:27:15 UTC; alan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-09-19 07:48:04

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New package recexcavAAR with initial version 0.2.1
Package: recexcavAAR
Type: Package
Title: 3D Reconstruction of Archaeological Excavations
Version: 0.2.1
Authors@R: c( person("Clemens", "Schmid", email = "clemens@nevrome.de", role = c("cre", "cph", "aut")) )
Maintainer: Clemens Schmid <clemens@nevrome.de>
Description: A toolset for 3D reconstruction and analysis of excavations. It provides methods to reconstruct natural and artificial surfaces based on field measurements. This allows to spatially contextualize documented subunits and features. Intended to be part of a 3D visualization workflow.
Date: 2016-09-18
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
URL: https://github.com/ISAAKiel/recexcavAAR
Imports: dplyr (>= 0.4.1), plyr, magrittr (>= 1.5), reshape2 (>= 1.4.1), Rcpp, devtools
Suggests: testthat, knitr, rmarkdown, roxygen2, plotly
VignetteBuilder: knitr
Depends: R (>= 2.10), kriging (>= 1.1)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2016-09-18 18:20:00 UTC; clemens
Author: Clemens Schmid [cre, cph, aut]
Repository: CRAN
Date/Publication: 2016-09-19 07:48:06

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Sun, 18 Sep 2016

New package smoothAPC with initial version 0.1
Package: smoothAPC
Version: 0.1
Date: 2016-08-25
Title: Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects
Author: Alexander Dokumentov, Rob J Hyndman
Maintainer: Alexander Dokumentov <alexander.dokumentov@gmail.com>
Depends: R (>= 3.2.2)
Imports: quantreg, SparseM, compiler, lmtest, stats, rgl, colorspace, methods
Description: The implemented method uses for smoothing bivariate thin plate splines, bivariate lasso-type regularization, and allows for both period and cohort effects. Thus the mortality rates are modelled as the sum of four components: a smooth bivariate function of age and time, smooth one-dimensional cohort effects, smooth one-dimensional period effects and random errors.
License: GPL (>= 2)
URL: https://bitbucket.org/alexanderdokumentov/smoothapcpackage
LazyData: true
RoxygenNote: 5.0.1
Suggests: testthat, demography
NeedsCompilation: no
Packaged: 2016-09-18 09:12:24 UTC; adokumen
Repository: CRAN
Date/Publication: 2016-09-18 12:59:47

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New package radiant.model with initial version 0.6.0
Package: radiant.model
Type: Package
Title: Model Menu for Radiant: Business Analytics using R and Shiny
Version: 0.6.0
Date: 2016-9-17
Authors@R: person("Vincent", "Nijs", , "radiant@rady.ucsd.edu", c("aut", "cre"))
Description: The Radiant Model menu includes interfaces for linear and logistic regression, Neural Networks, model evaluation, decision analysis, and simulation. The application extends the functionality in radiant.data.
Depends: R (>= 3.3.0), radiant.data (>= 0.6.0)
Imports: radiant.basics (>= 0.6.0), shiny (>= 0.14), nnet (>= 7.3.12), NeuralNetTools (>= 1.4.0), sandwich (>= 2.3.4), car (>= 2.1.3), ggplot2 (>= 2.1.0), gridExtra (>= 2.0.0), data.tree (>= 0.4.0), yaml (>= 2.1.13), stringr (>= 1.1.0), pryr (>= 0.1.2), lubridate (>= 1.6.0), tidyr (>= 0.6.0), dplyr (>= 0.5), magrittr (>= 1.5), DiagrammeR(>= 0.8.4), import (>= 1.1.0), methods
Suggests: testthat (>= 1.0.0), covr (>= 1.2.0)
URL: https://github.com/radiant-rstats/radiant.model
BugReports: https://github.com/radiant-rstats/radiant.model/issues
License: AGPL-3 | file LICENSE
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-18 07:52:53 UTC; vnijs
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>
Repository: CRAN
Date/Publication: 2016-09-18 12:52:42

More information about radiant.model at CRAN
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New package fitdc with initial version 0.0.1
Package: fitdc
Title: Garmin FIT File Decoder
Version: 0.0.1
Authors@R: person("Jordan", "Mackie", email = "jmackie@protonmail.com", role = c("aut", "cre"))
Description: A pure R package for decoding activity files written in the FIT ("Flexible and Interoperable Data Transfer") format. A format that is fast becoming the standard for recording running and cycling data. Details of the FIT protocol can be found at <https://www.thisisant.com/resources/fit>.
Depends: R (>= 3.3.1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/jmackie4/fitdc
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-17 17:38:44 UTC; jmach
Author: Jordan Mackie [aut, cre]
Maintainer: Jordan Mackie <jmackie@protonmail.com>
Repository: CRAN
Date/Publication: 2016-09-18 08:56:52

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Sat, 17 Sep 2016

New package INSPIRE with initial version 1.1
Package: INSPIRE
Type: Package
Title: Inferring Shared Modules from Multiple Gene Expression Datasets with Partially Overlapping Gene Sets
Version: 1.1
Date: 2016-09-16
Author: Safiye Celik
Maintainer: Safiye Celik <safiye@cs.washington.edu>
Description: A method to infer modules of co-expressed genes and the dependencies among the modules from multiple expression datasets that may contain different sets of genes. Please refer to: Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer, Safiye Celik, Benjamin A. Logsdon, Stephanie Battle, Charles W. Drescher, Mara Rendi, R. David Hawkins and Su-In Lee (2016) <DOI:10.1186/s13073-016-0319-7>.
License: GPL (>= 2)
URL: inspire.cs.washington.edu
Imports: missMDA
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-09-17 06:55:08 UTC; safiye
Repository: CRAN
Date/Publication: 2016-09-17 12:12:24

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New package distdrawr with initial version 0.1.1
Package: distdrawr
Title: Download Occurrence Data of Vascular Plants in Germany from the FLORKART Database
Version: 0.1.1
Authors@R: person("Nicolas", "Friess", email = "nico.friess@posteo.de", role = c("aut", "cre"))
Description: Download data from the FLORKART database on the distribution of vascular plants in Germany in a convenient way.
Depends: R (>= 3.3.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-17 06:12:53 UTC; nico
Author: Nicolas Friess [aut, cre]
Maintainer: Nicolas Friess <nico.friess@posteo.de>
Repository: CRAN
Date/Publication: 2016-09-17 12:15:59

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New package mosaicQA with initial version 1.0.1
Package: mosaicQA
Type: Package
Title: MOSAIC - Basic Quality Data Assurance for Epidemiologic Research
Version: 1.0.1
Date: 2016-09-09
Author: Martin Bialke <mosaic@uni-greifswald.de>, Thea Schwaneberg <thea.schwaneberg@uni-greifswald.de>, Rene Walk <rene.walk@uni-greifswald.de>
Maintainer: Martin Bialke <mosaic@uni-greifswald.de>
Description: With the provision of several tools and templates the MOSAIC project (DFG-Grant Number HO 1937/2-1) supports the implementation of a central data management in epidemiological research projects. The 'mosaicQA' package enables epidemiologists with none or low experience in R to generate basic data quality reports for a wide range of application scenarios. See <https://mosaic-greifswald.de/> for more information.
License: AGPL-3
Depends: psych, gplots, grid
NeedsCompilation: no
Packaged: 2016-09-17 05:49:42 UTC; bialkem
Repository: CRAN
Date/Publication: 2016-09-17 08:16:04

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New package brm with initial version 1.0
Package: brm
Type: Package
Title: Binary Regression Model
Version: 1.0
Date: 2016-09-15
Author: Linbo Wang, Thomas Richardson
Maintainer: Linbo Wang <linbowang@g.harvard.edu>
Description: Fits novel models for the conditional relative risk, risk difference and odds ratio.
License: MIT + file LICENSE
RoxygenNote: 5.0.1
NeedsCompilation: no
Suggests: knitr, rmarkdown
Imports: stats
Packaged: 2016-09-17 04:16:41 UTC; i
Repository: CRAN
Date/Publication: 2016-09-17 07:10:51

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Fri, 16 Sep 2016

New package radiant.multivariate with initial version 0.6.0
Package: radiant.multivariate
Type: Package
Title: Multivariate Menu for Radiant: Business Analytics using R and Shiny
Version: 0.6.0
Date: 2016-9-14
Authors@R: person("Vincent", "Nijs", , "radiant@rady.ucsd.edu", c("aut", "cre"))
Description: The Radiant Multivariate menu includes interfaces for perceptual mapping, factor analysis, cluster analysis, and conjoint analysis. The application extends the functionality in radiant.data.
Depends: R (>= 3.3.0), radiant.data (>= 0.6)
Imports: shiny (>= 0.14), dplyr (>= 0.5), ggplot2 (>= 2.0.0), gridExtra (>= 2.0.0), scales (>= 0.4.0), magrittr (>= 1.5), psych (>= 1.5.8), car (>= 2.1.1), MASS (>= 7.3), wordcloud (>= 2.5), import (>= 1.1.0), methods
Suggests: testthat (>= 1.0.0), covr (>= 1.2.0)
URL: https://github.com/radiant-rstats/radiant.multivariate, https://radiant-rstats.github.io/docs
BugReports: https://github.com/radiant-rstats/radiant.multivariate/issues
License: AGPL-3 | file LICENSE
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-17 00:50:38 UTC; vnijs
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>
Repository: CRAN
Date/Publication: 2016-09-17 03:11:45

More information about radiant.multivariate at CRAN
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New package moko with initial version 1.0.0
Package: moko
Type: Package
Title: Multi-Objective Kriging Optimization
Version: 1.0.0
Authors@R: c( person("Adriano", "Passos", email="adriano.utfpr@gmail.com", role=c("aut","cre")), person("Marco", "Luersen", email="luersen@utfpr.edu.br", role="ctb"))
Description: Multi-Objective optimization based on the Kriging metamodel. Important functions: mkm, VMPF, MEGO and HEGO.
Depends: R (>= 3.3.0)
License: GPL-3
LazyData: TRUE
Imports: DiceKriging (>= 1.5.5), DiceOptim (>= 1.5), GenSA (>= 1.1.6), emoa (>= 0.5.0), mco (>= 1.0.15.1), GPareto (>= 1.0.2), methods (>= 3.0.0)
RoxygenNote: 5.0.1
URL: https://github.com/coldfir3/moko
BugReports: https://github.com/coldfir3/moko/issues
Suggests: testthat, knitr, rmarkdown, lhs
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-17 00:32:52 UTC; Adriano
Author: Adriano Passos [aut, cre], Marco Luersen [ctb]
Maintainer: Adriano Passos <adriano.utfpr@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-17 03:09:13

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New package smooth with initial version 1.4.3
Package: smooth
Type: Package
Title: Forecasting Using Smoothing Functions
Version: 1.4.3
Date: 2016-09-16
Authors@R: person("Ivan", "Svetunkov", email = "ivan@svetunkov.ru", role = c("aut", "cre"), comment="Research Associate at Lancaster Centre for Forecasting, UK")
URL: https://github.com/config-i1/smooth
BugReports: https://github.com/config-i1/smooth/issues
Description: The set of smoothing functions used for time series analysis and in forecasting. Currently the package includes exponential smoothing models and SARIMA in state-space form + several simulation functions.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.12.3), stats, graphics, zoo, nloptr, polynom
LinkingTo: Rcpp, RcppArmadillo (>= 0.6.500.0.0)
Suggests: Mcomp, forecast, numDeriv, testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-09-16 13:34:12 UTC; config
Author: Ivan Svetunkov [aut, cre] (Research Associate at Lancaster Centre for Forecasting, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>
Repository: CRAN
Date/Publication: 2016-09-17 00:52:33

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New package inlmisc with initial version 0.1.2
Package: inlmisc
Title: Miscellaneous Functions for the USGS INL Project Office
Version: 0.1.2
Authors@R: person("Jason", "Fisher", email="jfisher@usgs.gov", role=c("aut", "cre"))
Description: A collection of functions for creating high-level graphics, performing raster-based analysis, processing MODFLOW-based models, and overlaying multi-polygon objects. Used to support packages and scripts written by researchers at the United States Geological Survey (USGS) Idaho National Laboratory (INL) Project Office.
Depends: R (>= 3.2.0)
Imports: dplyr, grDevices, graphics, igraph, methods, sp, stats, raster, rgdal, rgeos
Suggests: colorspace, maptools, testthat
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the USGS, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www2.usgs.gov/visual-id/credit_usgs.html
URL: https://github.com/USGS-R/inlmisc
BugReports: https://github.com/USGS-R/inlmisc/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-16 16:00:54 UTC; jfisher
Author: Jason Fisher [aut, cre]
Maintainer: Jason Fisher <jfisher@usgs.gov>
Repository: CRAN
Date/Publication: 2016-09-17 00:52:31

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New package fishkirkko2015 with initial version 1.0.0
Package: fishkirkko2015
Type: Package
Title: Dataset of Measurements of Fish Species at Kirkkojarvi Lake, Finland
Version: 1.0.0
Encoding: UTF-8
Authors@R: c(person(given = "Jose", family = "Gama", role = c("aut","cre"),email = "rxprtgama@gmail.com") )
Description: Dataset of 302 measurements of 11 fish species to accompany the manuscript "Length-weight relationships of six freshwater fish species from lake Kirkkojarvi, Finland".
License: GPL (>= 3)
Depends: R (>= 2.7.0)
Packaged: 2016-09-16 04:06:03 UTC; mk
Author: Jose Gama [aut, cre]
Maintainer: Jose Gama <rxprtgama@gmail.com>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-09-16 18:15:44

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New package envirem with initial version 1.0
Package: envirem
Type: Package
Title: Generation of ENVIREM Variables
Version: 1.0
Date: 2016-09-16
Author: Pascal O. Title, Jordan B. Bemmels
Maintainer: Pascal Title <ptitle@umich.edu>
Depends: raster
Imports: RSAGA
Suggests: rgdal
Description: Generation of bioclimatic rasters that will be particularly useful for species distribution modeling.
License: GPL (>= 2)
URL: http://envirem.github.io
BugReports: https://github.com/ptitle/envirem/issues
NeedsCompilation: yes
Encoding: UTF-8
RoxygenNote: 5.0.1
Packaged: 2016-09-16 13:01:08 UTC; pascaltitle
Repository: CRAN
Date/Publication: 2016-09-16 18:12:29

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New package coRanking with initial version 0.1.3
Package: coRanking
Title: Co-Ranking Matrix
Version: 0.1.3
Date: 2016-09-16
Author: Guido Kraemer
Maintainer: Guido Kraemer <gkraemer@bgc-jena.mpg.de>
Description: Calculates the co-ranking matrix to assess the quality of a dimensionality reduction.
License: GPL-3
Imports: methods, graphics, stats, Rtsne, scatterplot3d
RoxygenNote: 5.0.1
Collate: 'coranking-package.R' 'coranking.R' 'coranking_internals.R' 'lcmc.R' 'criteria.R' 'image.R' 'rankmatrix.R' 'submatrix.R'
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-09-16 11:41:13 UTC; gkraemer
Repository: CRAN
Date/Publication: 2016-09-16 18:10:36

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Thu, 15 Sep 2016

New package qrencoder with initial version 0.1.0
Package: qrencoder
Title: Quick Response Code (QR Code) / Matrix Barcode Creator
Version: 0.1.0
Authors@R: c( person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")), person("Kentaro", "Fukuchi", role=("ctb"), comment="libqrencoder") )
Maintainer: Bob Rudis <bob@rud.is>
Description: Quick Response codes (QR codes) are a type of matrix bar code and can be used to authenticate transactions, provide access to multi-factor authentication services and enable general data transfer in an image. QR codes use four standardized encoding modes (numeric, alphanumeric, byte/binary, and kanji) to efficiently store data. Matrix barcode generation is performed efficiently in C via the included 'libqrencoder' library created by Kentaro Fukuchi.
Depends: R (>= 3.1.0), raster
License: GPL-2
LazyData: true
Suggests: testthat
LinkingTo: Rcpp
Imports: Rcpp, base64enc, png
URL: http://github.com/hrbrmstr/qrencoder
BugReports: https://github.com/hrbrmstr/qrencoder/issues
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-09-15 22:05:22 UTC; bob
Author: Bob Rudis [aut, cre], Kentaro Fukuchi [ctb] (libqrencoder)
Repository: CRAN
Date/Publication: 2016-09-16 01:50:10

More information about qrencoder at CRAN
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New package BalanceCheck with initial version 0.1
Package: BalanceCheck
Version: 0.1
Date: 2016-9-11
Title: Balance Check for Multiple Covariates in Matched Observational Studies
Author: Hao Chen and Dylan Small
Maintainer: Hao Chen <hxchen@ucdavis.edu>
Depends: R (>= 3.0.1)
Description: Two practical tests are provided for assessing whether multiple covariates in a treatment group and a matched control group are balanced in observational studies.
License: GPL (>= 2)
Imports: ade4, mvtnorm
NeedsCompilation: no
Packaged: 2016-09-15 22:39:39 UTC; haochen
Repository: CRAN
Date/Publication: 2016-09-16 01:52:52

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New package rFTRLProximal with initial version 1.0.0
Package: rFTRLProximal
Type: Package
Title: FTRL-Proximal Algorithm
Version: 1.0.0
Author: Author: Yachen Yan [aut, cre]
Description: An efficient C++ based implementation of "Follow The (Proximally) Regularized Leader" online learning algorithm. This algorithm was proposed in McMahan et al. (2013) <DOI:10.1145/2487575.2488200>.
URL: http://github.com/yanyachen/rFTRLProximal
BugReports: http://github.com/yanyachen/rFTRLProximal/issues
Depends: R (>= 2.10)
Imports: stats, utils, data.table (>= 1.9.6), Matrix, FeatureHashing, magrittr, foreach, Rcpp, RcppProgress
Suggests: rBayesianOptimization, MLmetrics
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Maintainer: Yachen Yan <yanyachen21@gmail.com>
Packaged: 2016-09-15 16:28:48 UTC; Administrator
Repository: CRAN
Date/Publication: 2016-09-15 21:57:16

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New package PEGroupTesting with initial version 1.0
Package: PEGroupTesting
Type: Package
Title: Population Proportion Estimation using Group Testing
Version: 1.0
Depends: R (>= 3.1.0)
Imports: stats
Date: 2016-09-12
Author: Qingyang Zhang, Yanchuan Li
Maintainer: Qingyang Zhang <qz008@uark.edu>
Description: The population proportion using group testing can be estimated by different methods. Four functions including p.mle(), p.gart(), p.burrow() and p.order() are provided to implement four estimating methods including the maximum likelihood estimate, Gart's estimate, Burrow's estimate, and order statistic estimate.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-09-15 14:19:19 UTC; qingyangzhang
Repository: CRAN
Date/Publication: 2016-09-15 17:49:30

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New package MetaboQC with initial version 1.0
Package: MetaboQC
Type: Package
Title: Normalize Metabolomic Data using QC Signal
Version: 1.0
Date: 2016-09-15
Author: Monica Calderon-Santiago
Maintainer: Monica Calderon-Santiago <b42casam@uco.es>
Description: Takes QC signal for each day and normalize metabolomic data that has been acquired in a certain period of time. At least three QC per day are required.
License: GPL-2
Depends: R (>= 3.1.3)
Imports: plyr
RoxygenNote: 5.0.1
Packaged: 2016-09-15 14:07:32 UTC; M<c3><b3>nica
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-09-15 17:49:28

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New package sonar with initial version 1.0.2
Package: sonar
Type: Package
Title: Fundamental Formulas for Sonar
Version: 1.0.2
Encoding: UTF-8
Authors@R: c(person(given = "Jose", family = "Gama", role = c("aut","cre"),email = "rxprtgama@gmail.com") )
Description: Formulas for calculating sound velocity, water pressure, depth, density, absorption and sonar equations.
License: GPL (>= 3)
Depends: R (>= 2.7.0)
Packaged: 2016-09-15 12:23:40 UTC; mk
Author: Jose Gama [aut, cre]
Maintainer: Jose Gama <rxprtgama@gmail.com>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-09-15 15:46:37

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New package r2glmm with initial version 0.1.0
Package: r2glmm
Type: Package
Title: Computes R Squared for Mixed (Multilevel) Models
Date: 2016-09-14
Version: 0.1.0
Authors@R: person("Byron", "Jaeger", email = "byron.jaeger@gmail.com", role = c("aut", "cre"))
Description: The model R squared and semi-partial R squared for the linear and generalized linear mixed model (LMM and GLMM) are computed with confidence limits. The R squared measure from Edwards et.al (2008) <DOI:10.1002/sim.3429> is extended to the GLMM using penalized quasi-likelihood (PQL) estimation (see Jaeger et al. 2016 <DOI:10.1080/02664763.2016.1193725>). Three methods of computation are provided and described as follows. Firstly, The Kenward-Roger approach. Due to some inconsistency between the 'pbkrtest' package and the 'glmmPQL' function, the Kenward-Roger approach in the 'r2glmm' package is limited to the LMM. Secondly, The method introduced by Nakagawa and Schielzeth (2013) <DOI:10.1111/j.2041-210x.2012.00261.x> and later extended by Johnson (2014) <DOI:10.1111/2041-210X.12225>. The 'r2glmm' package only computes marginal R squared for the LMM and does not generalize the statistic to the GLMM; however, confidence limits and semi-partial R squared for fixed effects are useful additions. Lastly, an approach using standardized generalized variance (SGV) can be used for covariance model selection. Package installation instructions can be found in the readme file.
Imports: mgcv, lmerTest, Matrix, pbkrtest, ggplot2, afex, stats, MASS, dplyr
Suggests: lme4, nlme, testthat
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
URL: https://github.com/bcjaeger/r2glmm
BugReports: https://github.com/bcjaeger/r2glmm/issues
NeedsCompilation: no
Packaged: 2016-09-15 13:38:35 UTC; Byron
Author: Byron Jaeger [aut, cre]
Maintainer: Byron Jaeger <byron.jaeger@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-15 16:16:53

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New package hkclustering with initial version 1.0
Package: hkclustering
Type: Package
Title: Ensemble Clustering using K Means and Hierarchical Clustering
Version: 1.0
Date: 2016-09-02
Author: Kaloyan Stoyanov <kaloyans@profusion.com>
Maintainer: Rolando Medellin <rolandom@profusion.com>
Description: Implements an ensemble algorithm for clustering combining a k-means and a hierarchical clustering approach.
Imports: cluster
License: GPL-2
Packaged: 2016-09-15 08:52:01 UTC; RolandoM
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-09-15 15:46:35

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New package GRS.test with initial version 1.0
Package: GRS.test
Type: Package
Title: GRS Test for Portfolio Efficiency and Its Statistical Power Analysis
Version: 1.0
Date: 2016-09-11
Author: Jae H. Kim
Maintainer: Jae H. Kim <J.Kim@latrobe.edu.au>
Description: Computational resources for test proposed by Gibbons, Ross, Shanken (1989)<DOI:10.2307/1913625>.
License: GPL-2
NeedsCompilation: no
Packaged: 2016-09-15 13:58:07 UTC; JKim
Repository: CRAN
Date/Publication: 2016-09-15 16:16:51

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New package DRR with initial version 0.0.2
Package: DRR
Title: Dimensionality Reduction via Regression
Version: 0.0.2
Authors@R: person("Guido", "Kraemer", email = "gkraemer@bgc-jena.mpg.de", role = c("aut","cre"))
Description: An Implementation of Dimensionality Reduction via Regression using Kernel Ridge Regression.
License: GPL-3
Imports: stats, methods
Suggests: knitr
VignetteBuilder: knitr
LazyData: true
Depends: kernlab, CVST, Matrix
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-15 09:54:12 UTC; gkraemer
Author: Guido Kraemer [aut, cre]
Maintainer: Guido Kraemer <gkraemer@bgc-jena.mpg.de>
Repository: CRAN
Date/Publication: 2016-09-15 15:46:27

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New package profmem with initial version 0.4.0
Package: profmem
Version: 0.4.0
Title: Simple Memory Profiling for R
Imports: utils
Suggests: R.rsp, markdown, microbenchmark
VignetteBuilder: R.rsp
Authors@R: c(person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"), email = "henrikb@braju.com"))
Description: A simple and light-weight API for memory profiling of R expressions. The profiling is built on top of R's built-in memory profiler ('utils::Rprofmem()'), which records every memory allocation done by R (also native code).
License: LGPL (>= 2.1)
LazyLoad: TRUE
URL: https://github.com/HenrikBengtsson/profmem
BugReports: https://github.com/HenrikBengtsson/profmem/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-15 05:23:47 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2016-09-15 08:14:15

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Wed, 14 Sep 2016

New package pcaPA with initial version 2.0
Package: pcaPA
Title: Parallel Analysis for Ordinal and Numeric Data using Polychoric and Pearson Correlations with S3 Classes
Version: 2.0
Date: 2016-09-14
Author: Carlos A. Arias <caariasr22@gmail.com> and Victor H. Cervantes <Herulor@gmail.com>.
Maintainer: Carlos A. Arias <caariasr22@gmail.com>
Depends: R (>= 3.3.1), polycor, ltm, stats, ggplot2, mc2d, sfsmisc
Description: A set of functions to perform parallel analysis for principal components analysis intended mainly for large data sets. It performs a parallel analysis of continuous, ordered (including dichotomous/binary as a special case) or mixed type of data associated with a principal components analysis. Polychoric correlations among ordered variables, Pearson correlations among continuous variables and polyserial correlation between mixed type variables (one ordered and one continuous) are used. Whenever the use of polyserial or polychoric correlations yields a non positive definite correlation matrix, the resulting matrix is transformed into the nearest positive definite matrix. This is a continued work based on a previous version developed at the Colombian Institute for the evaluation of education - ICFES.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2016-09-14 23:31:19 UTC; CarlosAndresArias
Repository: CRAN
Date/Publication: 2016-09-15 03:17:55

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New package radiant.basics with initial version 0.6.0
Package: radiant.basics
Type: Package
Title: Basics Menu for Radiant: Business Analytics using R and Shiny
Version: 0.6.0
Date: 2016-9-14
Authors@R: person("Vincent", "Nijs", , "radiant@rady.ucsd.edu", c("aut", "cre"))
Description: The Radiant Basics menu includes interfaces for probability calculation, central limit theorem simulation, comparing means and proportions, goodness-of-fit testing, cross-tabs, and correlation. The application extends the functionality in radiant.data.
Depends: R (>= 3.3.0), radiant.data (>= 0.6.0)
Imports: ggplot2 (>= 2.0.0), gridExtra (>= 2.0.0), scales (>= 0.4.0), dplyr (>= 0.5), tidyr (>= 0.4.1), magrittr (>= 1.5), shiny (>= 0.14), psych (>= 1.5.8), import (>= 1.1.0), methods
Suggests: testthat (>= 1.0.0), covr (>= 1.2.0)
URL: https://github.com/radiant-rstats/radiant.basics, https://radiant-rstats.github.io/docs
BugReports: https://github.com/radiant-rstats/radiant.basics/issues
License: AGPL-3 | file LICENSE
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-14 23:11:36 UTC; vnijs
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>
Repository: CRAN
Date/Publication: 2016-09-15 03:09:43

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New package skeleSim with initial version 0.9.5
Package: skeleSim
Type: Package
Title: Genetic Simulation Engine
Version: 0.9.5
Authors@R: c( EA = person("Eric", "Archer", email = "eric.archer@noaa.gov", role = c("aut")), MDL = person("Michelle", "DePrenger-Levin", email = "michelledpl@gmail.com", role = c("aut")), SH = person("Sean", "Hoban", email = "shoban@alumni.nd.edu", role = c("aut")), LL = person("Libby", "Liggins", email = "L.Liggins@massey.ac.nz", role = c("aut")), CP = person("Christian", "Parobek", email = "christian.parobek@gmail.com", role = c("aut")), AS = person("Allan", "Strand", email = "stranda@gmail.com", role = c("aut", "cre")))
URL: https:://github.com/christianparobek/skelesim
BugReports: https://github.com/christianparobek/skelesim/issues
Description: A shiny interface and supporting tools to guide users in choosing appropriate simulations, setting parameters, calculating summary genetic statistics, and organizing data output, all within the R environment. In addition to supporting existing forward and reverse-time simulators, new simulators can be integrated into the environment relatively easily.
License: GPL-2
LazyLoad: Yes
LazyData: true
Depends: R (>= 3.2.0), igraph, shiny (>= 0.13.0), shinyFiles
Imports: adegenet, ape, hierfstat, pegas, markdown, methods, reshape2, rmetasim (>= 3.0.0), strataG (>= 1.0), swfscMisc (>= 1.1)
Suggests: knitr, rmarkdown, RJSONIO
Collate: skeleSim-package.R skeleSim.classes.R fsc.classes.R rms.classes.R skeleSim.internals.R skeleSimGUI.R analysis.funcs.R fsc.loadScenario.R fsc.run.R fsc.scenarioCheck.R rms.convert.R rms.init.land.function.R rms.init.landscape.R rms.internals.R rms.run.R rms.scenarioCheck.R runSim.R skeleSim.checks.R getGammaMutRates.R
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-14 21:17:35 UTC; astrand
Author: Eric Archer [aut], Michelle DePrenger-Levin [aut], Sean Hoban [aut], Libby Liggins [aut], Christian Parobek [aut], Allan Strand [aut, cre]
Maintainer: Allan Strand <stranda@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-15 00:19:30

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New package RSSL with initial version 0.6
Package: RSSL
Version: 0.6
Title: Implementations of Semi-Supervised Learning Approaches for Classification
Authors@R: c(person("Jesse", "Krijthe", role = c("aut", "cre"), email = "jkrijthe@gmail.com"))
Depends: R(>= 2.10.0)
Imports: methods, Rcpp, MASS, kernlab, quadprog, Matrix, dplyr, tidyr, ggplot2, reshape2, scales, cluster
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, rmarkdown, SparseM, numDeriv, LiblineaR
Description: A collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.
License: GPL (>= 2)
URL: http://www.github.com/jkrijthe/RSSL
BugReports: http://www.github.com/jkrijthe/RSSL
Collate: 'Generics.R' 'Classifier.R' 'CrossValidation.R' 'LeastSquaresClassifier.R' 'EMLeastSquaresClassifier.R' 'NormalBasedClassifier.R' 'LinearDiscriminantClassifier.R' 'EMLinearDiscriminantClassifier.R' 'NearestMeanClassifier.R' 'EMNearestMeanClassifier.R' 'LogisticRegression.R' 'EntropyRegularizedLogisticRegression.R' 'Evaluate.R' 'GRFClassifier.R' 'GenerateSSLData.R' 'HelperFunctions.R' 'ICLeastSquaresClassifier.R' 'ICLinearDiscriminantClassifier.R' 'KernelLeastSquaresClassifier.R' 'KernelICLeastSquaresClassifier.R' 'LaplacianKernelLeastSquaresClassifier.R' 'LaplacianSVM.R' 'LearningCurve.R' 'LinearSVM.R' 'LogisticLossClassifier.R' 'MCLinearDiscriminantClassifier.R' 'MCNearestMeanClassifier.R' 'MCPLDA.R' 'MajorityClassClassifier.R' 'Measures.R' 'Plotting.R' 'QuadraticDiscriminantClassifier.R' 'RSSL.R' 'RcppExports.R' 'S4VM.R' 'SVM.R' 'SelfLearning.R' 'TSVM.R' 'USMLeastSquaresClassifier.R' 'WellSVM.R' 'scaleMatrix.R' 'svmd.R' 'svmlin.R' 'testdata-data.R'
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-09-14 21:25:50 UTC; jkrijthe
Author: Jesse Krijthe [aut, cre]
Maintainer: Jesse Krijthe <jkrijthe@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-15 00:24:08

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New package RRedshiftSQL with initial version 0.1.2
Package: RRedshiftSQL
Type: Package
Title: R Interface to the 'Redshift' Database
Version: 0.1.2
Date: 2016-09-14
Author: Michael Treadwell
Maintainer: Michael Treadwell <michael.treadwell@interworks.com>
Description: Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'.
License: GPL-2
LazyData: TRUE
Depends: DBI (>= 0.4.1), RPostgreSQL (>= 0.4-1)
Suggests: methods
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-14 22:00:36 UTC; michael.treadwell
Repository: CRAN
Date/Publication: 2016-09-15 00:31:13

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New package radiant.design with initial version 0.6.0
Package: radiant.design
Type: Package
Title: Design Menu for Radiant: Business Analytics using R and Shiny
Version: 0.6.0
Date: 2016-9-14
Authors@R: person("Vincent", "Nijs", , "radiant@rady.ucsd.edu", c("aut", "cre"))
Description: The Radiant design menu includes interfaces for design of experiments, sampling, and sample size calculation. The application extends the functionality in radiant.data.
Depends: R (>= 3.3.0), radiant.data (>= 0.6), mvtnorm
Imports: dplyr (>= 0.5), shiny (>= 0.14), AlgDesign (>= 1.1.7.3), import (>= 1.1.0), polycor, methods
Suggests: testthat (>= 1.0.0),
URL: https://github.com/radiant-rstats/radiant.design, https://radiant-rstats.github.io/docs
BugReports: https://github.com/radiant-rstats/radiant.design/issues
License: AGPL-3 | file LICENSE
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-14 22:19:28 UTC; vnijs
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>
Repository: CRAN
Date/Publication: 2016-09-15 00:32:51

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New package regexPipes with initial version 0.0.1
Package: regexPipes
Type: Package
Title: Wrappers Around 'base::grep()' for Use with Pipes
Version: 0.0.1
Author: Billy Buchanan
Maintainer: Billy Buchanan <Billy.Buchanan@fayette.kyschools.us>
Description: Provides wrappers around base::grep() where the first argument is standardized to take the data object. This makes it less of a pain to use regular expressions with 'magrittr' or other pipe operators.
License: GPL (>= 2)
LazyData: TRUE
Suggests: magrittr, pipeR
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-14 19:03:56 UTC; billy
Repository: CRAN
Date/Publication: 2016-09-14 21:50:50

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New package qqvases with initial version 1.0.0
Package: qqvases
Type: Package
Title: Animated Normal Quantile-Quantile Plots
Version: 1.0.0
Date: 2016-09-05
Author: Robert Stine
Maintainer: Robert Stine <stine@upenn.edu>
Description: Presents an explanatory animation of normal quantile-quantile plots based on a water-filling analogy. The animation presents a normal QQ plot as the parametric plot of the water levels in vases defined by two distributions. The distributions decorate the axes in the normal QQ plot and are optionally shown as vases adjacent to the plot. The package draws QQ plots for several distributions, either as samples or continuous functions.
Imports: shiny,shinythemes,stats,graphics
Suggests: MASS
License: GPL-2
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-09-14 18:01:37 UTC; bob
Repository: CRAN
Date/Publication: 2016-09-14 21:50:48

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New package pipefittr with initial version 0.1.2
Package: pipefittr
Type: Package
Title: Convert Nested Functions to Pipes
Version: 0.1.2
Author: Houston R Users, Neeraj Tandon, Ed Goodwin, Ju Yeong Kim, Sahil Seth
Maintainer: Sahil Seth <me@sahilseth.com>
Description: To take nested function calls and convert them to a more readable form using pipes from package 'magrittr'.
Depends: R (>= 3.0.0)
Imports: magrittr, miniUI (>= 0.1.1), rstudioapi (>= 0.4), shiny (>= 0.13), stringr
Suggests: testthat
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-14 18:20:41 UTC; sahilseth
Repository: CRAN
Date/Publication: 2016-09-14 21:44:10

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New package gitgadget with initial version 0.2.0
Package: gitgadget
Type: Package
Title: Rstudio Addin for Version Control and Assignment Management using Git
Version: 0.2.0
Date: 2016-9-14
Authors@R: c( person("Vincent", "Nijs", , "vnijs@ucsd.edu", c("aut", "cre")), person("Sanjiv", "Erat", , "serat@ucsd.edu", "aut") )
Description: An Rstudio addin for version control that allows users to clone repos, create and delete branches, and sync forks on GitHub, GitLab, etc. Furthermore, the addin uses the GitLab API to allow instructors to create forks and merge requests for all students/teams with one click of a button.
Depends: R (>= 3.3.0)
Imports: shiny (>= 0.14), miniUI (>= 0.1.1), rstudioapi (>= 0.6), curl (>= 0.9), jsonlite (>= 1.0), dplyr (>= 0.5), methods
URL: https://gitlab.com/vnijs/gitgadget
BugReports: https://github.com/vnijs/gitgadget
License: GPL-3
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-14 17:14:40 UTC; vnijs
Author: Vincent Nijs [aut, cre], Sanjiv Erat [aut]
Maintainer: Vincent Nijs <vnijs@ucsd.edu>
Repository: CRAN
Date/Publication: 2016-09-14 21:44:09

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New package deBInfer with initial version 0.4.1
Package: deBInfer
Type: Package
Title: Bayesian Inference for Differential Equations
Version: 0.4.1
Date: 2016-09-13
Authors@R: c( person("Philipp H", "Boersch-Supan", email = "pboesu@gmail.com", role = c("aut","cre")), person("Leah R", "Johnson", email = "lrjohnson0@gmail.com", role = "aut"), person("Sadie J", "Ryan", email = "datamonkey@gmail.com", role = "aut"))
Description: A Bayesian framework for parameter inference in differential equations. This approach offers a rigorous methodology for parameter inference as well as modeling the link between unobservable model states and parameters, and observable quantities. Provides templates for the DE model, the observation model and data likelihood, and the model parameters and their prior distributions. A Markov chain Monte Carlo (MCMC) procedure processes these inputs to estimate the posterior distributions of the parameters and any derived quantities, including the model trajectories. Further functionality is provided to facilitate MCMC diagnostics and the visualisation of the posterior distributions of model parameters and trajectories.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: R (>= 2.10), deSolve
Imports: truncdist, coda, RColorBrewer, MASS, stats, mvtnorm, graphics, grDevices, plyr, PBSddesolve, methods
Suggests: testthat, knitr, rmarkdown, devtools, R.rsp, microbenchmark, beanplot
VignetteBuilder: knitr, R.rsp
NeedsCompilation: no
Packaged: 2016-09-14 17:56:52 UTC; philipp
Author: Philipp H Boersch-Supan [aut, cre], Leah R Johnson [aut], Sadie J Ryan [aut]
Maintainer: Philipp H Boersch-Supan <pboesu@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-14 21:44:04

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New package StepwiseTest with initial version 1.0
Package: StepwiseTest
Type: Package
Title: Multiple Testing Method to Control Generalized Family-Wise Error Rate and False Discovery Proportion
Version: 1.0
Date: 2016-09-13
Author: Yu-Chin Hsu and Kendro Vincent
Maintainer: Kendro Vincent <vincent.kendro@gmail.com>
Description: Collection of stepwise procedures to conduct multiple hypotheses testing. The details of the stepwise algorithm can be found in Romano and Wolf (2007) <DOI:10.1214/009053606000001622> and Hsu, Kuan, and Yen (2014) <DOI:10.1093/jjfinec/nbu014>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.2)
Suggests: foreach, tseries
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2016-09-14 01:56:25 UTC; KVincent
Repository: CRAN
Date/Publication: 2016-09-14 18:50:51

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New package splitfngr with initial version 0.1.0
Package: splitfngr
Type: Package
Title: Combined Evaluation and Split Access of Functions
Version: 0.1.0
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>
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.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Imports: lbfgs
NeedsCompilation: no
Packaged: 2016-09-14 04:23:00 UTC; cbe117
Repository: CRAN
Date/Publication: 2016-09-14 18:51:14

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New package SmartSifter with initial version 0.1.0
Package: SmartSifter
Title: Online Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms
Version: 0.1.0
Date: 2016-09-14
Author: Lizhen Nie <nie_lizhen@yahoo.com>
Maintainer: Lizhen Nie <nie_lizhen@yahoo.com>
Description: Addressing the problem of outlier detection from the viewpoint of statistical learning theory. This method is proposed by Yamanishi, K., Takeuchi, J., Williams, G. et al. (2004) <DOI:10.1023/B:DAMI.0000023676.72185.7c>. It learns the probabilistic model (using a finite mixture model) through an on-line unsupervised process. After each datum is input, a score will be given with a high one indicating a high possibility of being a statistical outlier.
Depends: R (>= 3.3.1)
Imports: mvtnorm, rootSolve
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-09-14 01:13:35 UTC; mac
Repository: CRAN
Date/Publication: 2016-09-14 18:50:50

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New package MMDai with initial version 0.1.0
Package: MMDai
Type: Package
Title: Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Data
Version: 0.1.0
Author: Chaojie Wang
Maintainer: Chaojie Wang <wang910930@163.com>
Description: Fit incomplete multinomial data by mixture multinomial distribution approximation (Dunson and Xing (2009) <DOI:10.1198/jasa.2009.tm08439>). Estimate latent joint distribution by slice Gibbs sampler (Walker (2007) <DOI:10.1080/03610910601096262>). Perform efficient missing data imputation and other statistical inference based on joint distribution estimation.
License: GPL (>= 2)
LazyData: TRUE
Depends: DirichletReg, stats
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-14 01:31:24 UTC; type_ok_login
Repository: CRAN
Date/Publication: 2016-09-14 18:50:40

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New package ldbod with initial version 0.1.0
Package: ldbod
Type: Package
Title: Local Density-Based Outlier Detection
Version: 0.1.0
Author: Kristopher Williams
Maintainer: Kristopher Williams <kristopher.williams83@gmail.com>
Description: Flexible procedures to compute local density-based outlier scores for ranking outliers. Both exact and approximate nearest neighbor search can be implemented, while also accommodating multiple k values and four different local density-based methods. It allows for referencing a random subsample of input data or a user specified reference data set to compute outlier scores against, so both unsupervised and semi-supervised outlier detection can be implemented.
Depends: R (>= 3.1.0)
Imports: stats, RANN, mnormt
License: GPL-3
URL: https://github.com/kwilliams83/ldbod
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-14 07:02:04 UTC; kwilliams
Repository: CRAN
Date/Publication: 2016-09-14 18:50:59

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New package DamiaNN with initial version 1.0.0
Package: DamiaNN
Type: Package
Title: Neural Network Numerai
Version: 1.0.0
Author: Damian Siniakowicz
Maintainer: Damian Siniakowicz <DamianSiniakowicz@gmail.com>
Date: 2016-09-13
Packaged: 2016-09-13
Description: Interactively train neural networks on Numerai, <https://numer.ai/>, data. Generate tournament predictions and write them to a CSV.
Imports: caret, methods, testthat
License: GPL-3
LazyData: FALSE
RoxygenNote: 5.0.1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-09-14 18:50:32

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Tue, 13 Sep 2016

New package shinyLP with initial version 1.0.0
Package: shinyLP
Type: Package
Title: Bootstrap Landing Home Pages for Shiny Applications
Version: 1.0.0
Author: Authors@R: person("Jasmine", "Dumas", email = "jasmine.dumas@gmail.com", role = c("aut", "cre"))
Maintainer: Jasmine Dumas <jasmine.dumas@gmail.com>
Description: Provides functions that wrap HTML Bootstrap components code to enable the design and layout of informative landing home pages for Shiny applications. This can lead to a better user experience for the users and writing less HTML for the developer.
URL: https://github.com/jasdumas/shinyLP
Depends: R (>= 3.1.2)
Imports: shinyBS, shiny
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-13 12:19:04 UTC; jasminedumas
Repository: CRAN
Date/Publication: 2016-09-13 21:19:28

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New package CatEncoders with initial version 0.1.0
Package: CatEncoders
Type: Package
Title: Encoders for Categorical Variables
Version: 0.1.0
Author: nl zhang
Maintainer: nl zhang <setseed2016@gmail.com>
Description: Contains some commonly used categorical variable encoders, such as 'LabelEncoder' and 'OneHotEncoder'. Inspired by the encoders implemented in python 'sklearn.preprocessing' package (see <http://scikit-learn.org/stable/modules/preprocessing.html>).
License: GPL-2 | GPL-3
LazyData: TRUE
Imports: Matrix (>= 1.2-6), data.table (>= 1.9.6), methods
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-13 12:54:16 UTC; nl
Repository: CRAN
Date/Publication: 2016-09-13 21:19:03

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New package spectral with initial version 1.0
Package: spectral
Type: Package
Title: Common Methods of Spectral Data Analysis
Version: 1.0
Author: Martin Seilmayer
Maintainer: Martin Seilmayer <m.seilmayer@hzdr.de>
Description: Fourier and Hilbert transforms are utilized to perform several types of spectral analysis on the supplied data. Also fragmented and irregularly spaced data can be processed. A user friendly interface helps to interpret the results.
License: GPL-2
Depends: rasterImage, R (>= 2.15.0)
LazyData: TRUE
RoxygenNote: 5.0.1
LinkingTo: Rcpp
Imports: Rcpp
Packaged: 2016-09-13 07:20:39 UTC; ms5760
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-09-13 11:45:38

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New package rpsftm with initial version 1.0.0
Package: rpsftm
Type: Package
Title: Rank Preserving Structural Failure Time Models
Version: 1.0.0
Date: 2016-09-10
Author: Simon Bond
Maintainer: Simon Bond <simon.bond@addenbrookes.nhs.uk>
Description: Implements methods described by the paper Robins and Tsiatis (1991) <DOI:10.1080/03610929108830654>. These use g-estimation to estimate the causal effect of a treatment in a two-armed randomised control trial where non-compliance exists and is measured, under an assumption of an accelerated failure time model and no unmeasured confounders.
Depends: R (>= 2.10)
License: GPL-2
Imports: survival, ggplot2, stats
LazyData: true
RoxygenNote: 5.0.1
Suggests: testthat, knitr, rmarkdown, tableone
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-13 08:20:18 UTC; sjb277
Repository: CRAN
Date/Publication: 2016-09-13 11:45:12

More information about rpsftm at CRAN
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