Fri, 24 Nov 2017

New package gpHist with initial version 0.1
Package: gpHist
Type: Package
Title: Gaussian Process with Histogram Intersection Kernel
Version: 0.1
Date: 2017-11-24
Author: Dennis Becker
Maintainer: Dennis Becker <dbecker@leuphana.de>
Description: Provides an implementation of a Gaussian process regression with a histogram intersection kernel (HIK) and utilizes approximations to speed up learning and prediction. In contrast to a squared exponential kernel, an HIK provides advantages such as linear memory and learning time requirements. However, the HIK only provides a piecewise-linear approximation of the function. Furthermore, the number of estimated eigenvalues is reduced. The eigenvalues and vectors are required for the approximation of the log-likelihood function as well as the approximation of the predicted variance of new samples. This package provides approximations for a single eigenvalue as well as multiple. Further information of the variance and log-likelihood approximation, as well as the Gaussian process with HIK, can be found in the paper by Rodner et al. (2016) <doi:10.1007/s11263-016-0929-y>.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2017-11-24 13:19:29 UTC; dennis
Repository: CRAN
Date/Publication: 2017-11-24 14:03:57 UTC

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New package fmriqa with initial version 0.1.0
Package: fmriqa
Type: Package
Title: Functional MRI Quality Assurance Routines
Version: 0.1.0
Date: 2017-11-22
Authors@R: person("Martin", "Wilson", email = "martin@pipegrep.co.uk", role = c("cre","aut"))
Description: Methods for performing fMRI quality assurance (QA) measurements of test objects. Heavily based on the fBIRN procedures detailed by Friedman and Glover (2006) <doi:10.1002/jmri.20583>.
BugReports: https://github.com/martin3141/fmriqa/issues
License: GPL-3
LazyData: true
RoxygenNote: 6.0.1
Imports: viridisLite, RNifti, ggplot2, reshape2, gridExtra, grid, tidyr, optparse, tcltk, RcppEigen, pracma
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-11-24 09:40:04 UTC; wilsonmp
Author: Martin Wilson [cre, aut]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>
Repository: CRAN
Date/Publication: 2017-11-24 13:51:41 UTC

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New package SteinerNet with initial version 2.0
Package: SteinerNet
Version: 2.0
Date: 2017-11-23
Title: Steiner Tree Approach for Graph Analysis
License: GPL-3
Author: Afshin Sadeghi
Maintainer: Afshin Sadeghi <sadeghi.afshin@gmail.com>
Depends: R (>= 3.1)
Imports: igraph, limma, RBGL, graph, grDevices, stats, utils, graphics
Description: A set of graph functions to find Steiner trees on graphs. It provides tools for analysing Steiner tree application on networks. It has applications in biological pathway network analysis (Sadeghi 2013) <doi:10.1186/1471-2105-14-144>.
Packaged: 2017-11-23 18:08:11 UTC; afshin
Repository: CRAN
Date/Publication: 2017-11-24 09:16:38 UTC
NeedsCompilation: no
X-CRAN-Comment: Archived on 2013-09-07: it was never updated from igraph0 to igraph despite several reminders.

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Thu, 23 Nov 2017

New package TrajDataMining with initial version 0.1.3
Package: TrajDataMining
Type: Package
Title: Trajectories Data Mining
Version: 0.1.3
Authors@R: c( person("Diego","Monteiro",role=c("aut","cre"),email="dvm1607@gmail.com"), person("Karine", "Reis", role = "ctb",email="karine.ferreira@inpe.br"), person("Carlos", "Alberto", role = "ctb",email="carlos.noronha@inpe.br"), person("Felipe", "Carvalho", role = "ctb",email="lipecaso@gmail.com") )
Description: Contains a set of methods for trajectory data preparation, such as filtering, compressing and clustering, and for trajectory pattern discovery.
License: MIT + file LICENSE
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 3.3.3)
Imports: sp, trajectories, rgdal, xts, spacetime, RPostgreSQL, geosphere, methods, ggplot2, magrittr
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/INPEtrajectories/TrajDataMining
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-23 18:31:45 UTC; asainpe
Author: Diego Monteiro [aut, cre], Karine Reis [ctb], Carlos Alberto [ctb], Felipe Carvalho [ctb]
Maintainer: Diego Monteiro <dvm1607@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-23 18:51:24 UTC

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New package Ternary with initial version 0.1.1
Package: Ternary
Version: 0.1.1
Date: 2017-11-23
Title: Plot Ternary Diagrams
Description: Plots ternary diagrams using the standard graphics functions. An alternative to 'ggtern', which uses the 'ggplot2' family of plotting functions.
URL: https://github.com/ms609/Ternary
BugReports: https://github.com/ms609/Ternary/issues
Authors@R: c(person("Martin R.", 'Smith', email="martins@gmail.com", role=c("aut", "cre", "cph"), comment=c(ORCID = "0000-0001-5660-1727")) )
License: GPL (>= 2)
Depends: R (>= 3.2.0)
Suggests: knitr, rmarkdown, testthat
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-23 18:16:11 UTC; ms609
Author: Martin R. Smith [aut, cre, cph] (0000-0001-5660-1727)
Maintainer: Martin R. Smith <martins@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-23 18:41:58 UTC

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New package distcrete with initial version 1.0.3
Package: distcrete
Title: Discrete Distribution Approximations
Version: 1.0.3
Authors@R: c( person("Steph","Locke", role="cre", email = "steph@itsalocke.com"), person("Rich", "FitzJohn", role = c("aut"), email = "rich.fitzjohn@gmail.com"), person("Anne", "Cori", role = "aut"), person("Thibaut", "Jombart", role = "aut"))
Description: Creates discretised versions of continuous distribution functions by mapping continuous values to an underlying discrete grid, based on a (uniform) frequency of discretisation, a valid discretisation point, and an integration range. For a review of discretisation methods, see Chakraborty (2015) <doi:10.1186/s40488-015-0028-6>.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/reconhub/distcrete
BugReports: https://github.com/reconhub/distcrete/issues
Suggests: knitr, rmarkdown, testthat
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-23 12:44:36 UTC; steph
Author: Steph Locke [cre], Rich FitzJohn [aut], Anne Cori [aut], Thibaut Jombart [aut]
Maintainer: Steph Locke <steph@itsalocke.com>
Repository: CRAN
Date/Publication: 2017-11-23 13:50:05 UTC

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New package adjustedcranlogs with initial version 0.1.0
Package: adjustedcranlogs
Type: Package
Title: Remove Automated and Repeated Downloads from 'RStudio' 'CRAN' Download Logs
Version: 0.1.0
Authors@R: c(person("Tyler", "Morgan-Wall", email = "tylermw@gmail.com", role = c("aut", "cre")))
Date: 2017-11-22
Description: Adjusts output of 'cranlogs' package to account for 'CRAN'-wide daily automated downloads and re-downloads caused by package updates.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: cranlogs, xml2, lubridate, dplyr, rvest
Depends: R (>= 2.10)
URL: https://github.com/tylermorganwall/adjustedcranlogs
BugReports: https://github.com/tylermorganwall/adjustedcranlogs/issues
NeedsCompilation: no
Packaged: 2017-11-22 22:20:56 UTC; tyler
Author: Tyler Morgan-Wall [aut, cre]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-23 12:35:35 UTC

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New package JMcmprsk with initial version 0.9
Package: JMcmprsk
Type: Package
Title: Joint Models for Longitudinal Measurements and Competing Risks Failure Time Data
Version: 0.9
Date: 2017-11-22
Author: Hong Wang<wh@csu.edu.cn>, Ning Li<nli@biomath.ucla.edu> and Gang Li<vli@ucla.edu>
Maintainer: Hong Wang <wh@csu.edu.cn>
Description: Parameter models for the joint modeling of longitudinal (continuous or ordinal) data and time-to-event data with competing risks. For a detailed information, see Robert Elashoff, Gang li and Ning Li (2016, ISBN:9781439807828) ; Robert M. Elashoff,Gang Li and Ning Li (2008) <doi:10.1111/j.1541-0420.2007.00952.x> ; Ning Li, Robert Elashoff, Gang Li and Jeffrey Saver (2010) <doi:10.1002/sim.3798> .
License: GPL (>= 2)
Imports: Rcpp,MASS,stats,utils
LinkingTo: Rcpp
SystemRequirements: GNU GSL
NeedsCompilation: yes
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2017-11-23 00:35:01 UTC; wh
Repository: CRAN
Date/Publication: 2017-11-23 09:54:33 UTC

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Wed, 22 Nov 2017

New package bucky with initial version 1.0.3
Package: bucky
Type: Package
Title: Bucky's Archive for Data Analysis in the Social Sciences
Version: 1.0.3
Date: 2017-11-20
Author: Alexander Tahk [aut, cre]
Maintainer: Alexander Tahk <tahk@alum.mit.edu>
Authors@R: c(person("Alexander", "Tahk", role = c("aut", "cre"), email = "tahk@alum.mit.edu"))
Depends: R (>= 3.1.0), methods, sandwich, lmtest
Suggests: MASS, parallel, Amelia
Enhances: texreg, stargazer
Description: Provides functions for various statistical techniques commonly used in the social sciences, including functions to compute clustered robust standard errors, combine results across multiply-imputed data sets, and simplify the addition of robust and clustered robust standard errors. The package was originally developed, in part, to assist porting of replication code from 'Stata' and attempts to replicate default options from 'Stata' where possible.
License: GPL-3
NeedsCompilation: no
Packaged: 2017-11-22 13:50:11 UTC; tahk
Repository: CRAN
Date/Publication: 2017-11-22 18:18:46 UTC

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New package PPCI with initial version 0.1.0
Package: PPCI
Type: Package
Title: Projection Pursuit for Cluster Identification
Version: 0.1.0
Author: David Hofmeyr <dhofmeyr@sun.ac.za> [aut, cre] Nicos Pavlidis <n.pavlidis@lancaster.ac.uk> [aut]
Maintainer: David Hofmeyr <dhofmeyr@sun.ac.za>
Description: Implements recently developed projection pursuit algorithms for finding optimal linear cluster separators. The clustering algorithms use optimal hyperplane separators based on minimum density, Pavlidis et. al (2016) <https://jmlr.csail.mit.edu/papers/volume17/15-307/15-307.pdf>; minimum normalised cut, Hofmeyr (2017) <doi:10.1109/TPAMI.2016.2609929>; and maximum variance ratio clusterability, Hofmeyr and Pavlidis (2015) <doi:10.1109/SSCI.2015.116>.
Depends: R (>= 2.10.0)
License: GPL-3
Encoding: UTF-8
LazyData: yes
Imports: rARPACK
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-22 05:59:49 UTC; dhofmeyr
Repository: CRAN
Date/Publication: 2017-11-22 10:14:29 UTC

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New package benthos with initial version 1.3-4
Package: benthos
Type: Package
Title: Marine Benthic Ecosystem Analysis
Description: Preprocessing tools and biodiversity measures (species abundance, species richness, population heterogeneity and sensitivity) for analysing marine benthic data. See Van Loon et al. (2015) <doi:10.1016/j.seares.2015.05.002> for an application of these tools.
Version: 1.3-4
Date: 2017-11-21
Authors@R: person(given = "Dennis", family = "Walvoort", email = "dennis.Walvoort@wur.nl", role = c("aut", "cre", "cph"))
Depends: R (>= 3.2.0)
Imports: dplyr (>= 0.7.0), lazyeval, readr, utils
Suggests: testthat (>= 1.0.0), rmarkdown, knitr, ggplot2, tidyr
VignetteBuilder: knitr
License: GPL (>= 3)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-22 09:10:16 UTC; dennis
Author: Dennis Walvoort [aut, cre, cph]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>
Repository: CRAN
Date/Publication: 2017-11-22 10:19:24 UTC

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New package Aoptbdtvc with initial version 0.0.1
Package: Aoptbdtvc
Title: A-Optimal Block Designs for Comparing Test Treatments with Controls
Version: 0.0.1
Authors@R: c(person("Baidya Nath", "Mandal", email = "mandal.stat@gmail.com", role = c("aut", "cre")),person("Sukanta", "Dash", role = "aut"),person("Rajender", "Parsad", role = "aut"))
Author: Baidya Nath Mandal [aut, cre], Sukanta Dash [aut], Rajender Parsad [aut]
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>
Description: A collection of functions to construct A-optimal block designs for comparing test treatments with one or more control(s). Mainly A-optimal balanced treatment incomplete block designs, weighted A-optimal balanced treatment incomplete block designs, A-optimal group divisible treatment designs and A-optimal balanced bipartite block designs can be constructed using the package. The designs are constructed using algorithms based on linear integer programming. To the best of our knowledge, these facilities to construct A-optimal block designs for comparing test treatments with one or more controls are not available in the existing R packages. For more details on designs for tests versus control(s) comparisons, please see Hedayat, A. S. and Majumdar, D. (1984) <doi:10.1080/00401706.1984.10487989> A-Optimal Incomplete Block Designs for Control-Test Treatment Comparisons, Technometrics, 26, 363-370 and Mandal, B. N. , Gupta, V. K., Parsad, Rajender. (2017) <doi:10.1080/03610926.2015.1071394> Balanced treatment incomplete block designs through integer programming. Communications in Statistics - Theory and Methods 46(8), 3728-3737.
Depends: R (>= 3.4.0), lpSolve, MASS
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-11-22 05:02:03 UTC; LG
Repository: CRAN
Date/Publication: 2017-11-22 10:02:03 UTC

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New package xray with initial version 0.1
Package: xray
Type: Package
Title: X Ray Vision on your Datasets
Version: 0.1
Authors@R: person("Pablo", "Seibelt", email = "pabloseibelt@sicarul.com", role = c("aut", "cre"))
URL: https://github.com/sicarul/xray/
BugReports: https://github.com/sicarul/xray/issues
Depends: R (>= 3.4.0)
Imports: dplyr, scales, foreach, ggplot2, grid, lubridate
Description: Tools to analyze datasets previous to any statistical modeling. Has various functions designed to find inconsistencies and understanding the distribution of the data.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-22 02:06:37 UTC; sicarul
Author: Pablo Seibelt [aut, cre]
Maintainer: Pablo Seibelt <pabloseibelt@sicarul.com>
Repository: CRAN
Date/Publication: 2017-11-22 09:39:38 UTC

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New package textrank with initial version 0.1.0
Package: textrank
Type: Package
Title: Summarize Text by Ranking Sentences
Version: 0.1.0
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph]
Authors@R: c(person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be'), person('BNOSAC', role = 'cph'))
Description: The 'textrank' algorithm is an extension of the 'Pagerank' algorithm for text. The algorithm allows to summarize text by calculating how sentences are related to one another. This is done by looking at overlapping terminology used in sentences in order to set up links between sentences. The resulting sentence network is next plugged into the 'Pagerank' algorithm which identifies the most important sentences in your text and ranks them. More information can be found in the paper from Mihalcea, Rada & Tarau, Paul (2004) <http://www.aclweb.org/anthology/W04-3252>.
License: MPL-2.0
URL: https://github.com/bnosac/textrank
Encoding: UTF-8
Imports: utils, data.table (>= 1.9.6), igraph, digest
Suggests: textreuse, knitr
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-21 21:03:51 UTC; Jan
Repository: CRAN
Date/Publication: 2017-11-22 09:28:33 UTC

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New package survClip with initial version 0.2.3
Package: survClip
Type: Package
Title: Survival Analysis for Pathways
Version: 0.2.3
Author: Paolo Martini
Maintainer: Paolo Martini <paolo.cavei@gmail.com>
Description: Survival analysis using pathway topology. Data reduction techniques with graphical models are used to identify pathways or modules that are associated to survival.
Encoding: UTF-8
LazyData: true
Depends:
Imports: clipper, checkmate, graph, methods, qpgraph, corpcor, survival, rrcov, FactoMineR, elasticnet
Suggests: RUnit, BiocGenerics, graphite, curatedOvarianData, MASS, BiocStyle, org.Hs.eg.db
License: AGPL-3
NeedsCompilation: no
Packaged: 2017-11-21 16:24:57 UTC; paolo
Repository: CRAN
Date/Publication: 2017-11-22 09:16:23 UTC

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New package PSLM2015 with initial version 0.1.0
Package: PSLM2015
Type: Package
Title: Pakistan Social and Living Standards Measurement Survey 2014-15
Version: 0.1.0
Authors@R: c( person(c("Muhammad", "Yaseen"), email = "myaseen208@gmail.com", role = c("aut", "cre")) , person(c("Muhammad", "Arfan", "Dilber"), email = "pbsfsd041@gmail.com", role = "ctb") )
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Data and statistics of Pakistan Social and Living Standards Measurement (PSLM) survey 2014-15 from Pakistan Bureau of Statistics (<http://www.pbs.gov.pk/>).
URL: https://github.com/MYaseen208/PSLM2015
Imports: dplyr, stats
Depends: R(>= 2.10.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-21 21:29:39 UTC; yaseen
Author: Muhammad Yaseen [aut, cre], Muhammad Arfan Dilber [ctb]
Repository: CRAN
Date/Publication: 2017-11-22 09:32:38 UTC

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New package fpmoutliers with initial version 0.1.0
Package: fpmoutliers
Type: Package
Title: Frequent Pattern Mining Outliers
Version: 0.1.0
Authors@R: person("Jaroslav", "Kuchar", email = "jaroslav.kuchar@gmail.com", role = c("aut", "cre"))
Author: Jaroslav Kuchar [aut, cre]
Maintainer: Jaroslav Kuchar <jaroslav.kuchar@gmail.com>
URL: https://github.com/jaroslav-kuchar/fpmoutliers
BugReports: https://github.com/jaroslav-kuchar/fpmoutliers/issues
Description: Algorithms for detection of outliers based on frequent pattern mining. Such algorithms follow the paradigm: if an instance contains more frequent patterns, it means that this data instance is unlikely to be an anomaly (He Zengyou, Xu Xiaofei, Huang Zhexue Joshua, Deng Shengchun (2005) <doi:10.2298/CSIS0501103H>). The package implements a list of existing state of the art algorithms as well as other published approaches: FPI, WFPI, FPOF, FPCOF, LFPOF, MFPOF, WCFPOF and WFPOF.
License: Apache License (== 2.0) | file LICENSE
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 3.3.0)
Imports: pmml, XML, Matrix, R.utils, arules (>= 1.5-4), foreach, doParallel, parallel, methods, pryr
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-11-21 20:31:02 UTC; kuchar
Repository: CRAN
Date/Publication: 2017-11-22 09:25:49 UTC

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New package covTestR with initial version 0.1.0
Package: covTestR
Type: Package
Title: Covariance Matrix Tests
Version: 0.1.0
Authors@R: c(person("Ben", "Barnard", email = "ben_barnard@outlook.com", role = c("aut", "cre")), person("Dean", "Young", email = "dean_young@baylor.edu", role = c("aut")))
Maintainer: Ben Barnard <ben_barnard@outlook.com>
Description: Testing functions for Covariance Matrices. These tests include high-dimension homogeneity of covariance matrix testing described by Schott (2007) <doi:10.1016/j.csda.2007.03.004> and high-dimensional one-sample tests of covariance matrix structure described by Fisher, et al. (2010) <doi:10.1016/j.jmva.2010.07.004>. Covariance matrix tests use C++ to speed performance and allow larger data sets.
License: GPL-2
LazyData: TRUE
RoxygenNote: 6.0.1
Suggests: covr
Imports: lazyeval, stringr, dplyr, shiny, Rcpp
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2017-11-21 19:21:50 UTC; benbarnard
Author: Ben Barnard [aut, cre], Dean Young [aut]
Repository: CRAN
Date/Publication: 2017-11-22 09:19:26 UTC

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Tue, 21 Nov 2017

New package multinets with initial version 0.1.0
Package: multinets
Title: Multilevel Networks Analysis
Version: 0.1.0
Authors@R: person("Neylson", "Crepalde", email = "neylsoncrepalde@gmail.com", role = c("aut", "cre"))
Description: Analyze multilevel networks as described in Lazega et al (2008) <doi:10.1016/j.socnet.2008.02.001> and in Lazega and Snijders (2016, ISBN:978-3-319-24520-1). The package was developed essentially as an extension to 'igraph'.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.2)
Imports: igraph
Suggests: sand, statnet, mixer, data.table, testthat
ByteCompile: true
RoxygenNote: 6.0.1
URL: https://github.com/neylsoncrepalde/multinets
BugReports: https://github.com/neylsoncrepalde/multinets/issues
NeedsCompilation: no
Packaged: 2017-11-21 16:30:58 UTC; neylson
Author: Neylson Crepalde [aut, cre]
Maintainer: Neylson Crepalde <neylsoncrepalde@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-21 18:24:27 UTC

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New package multichull with initial version 1.0.0
Package: multichull
Type: Package
Title: A Generic Convex-Hull-Based Model Selection Method
Version: 1.0.0
Date: 2017-11-16
Depends: igraph, graphics, plotly, shiny, shinythemes, stats
Authors@R: c(person("Marlies","Vervloet",role=c("aut","cre","trl"),email="marlies.vervloet@kuleuven.be"),person("Tom","Wilderjans",role="aut"),person("Jeffrey","Durieux",role="aut"),person("Eva","Ceulemans",role="aut"))
Description: Given a set of models for which a measure of model (mis)fit and model complexity is provided, CHull(), developed by Ceulemans and Kiers (2006) <doi:10.1348/000711005X64817>, determines the models that are located on the boundary of the convex hull and selects an optimal model by means of the scree test values.
License: GPL (>= 2)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-21 14:35:30 UTC; u0073672
Author: Marlies Vervloet [aut, cre, trl], Tom Wilderjans [aut], Jeffrey Durieux [aut], Eva Ceulemans [aut]
Maintainer: Marlies Vervloet <marlies.vervloet@kuleuven.be>
Repository: CRAN
Date/Publication: 2017-11-21 18:19:11 UTC

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New package fakemake with initial version 1.0.1
Package: fakemake
Title: Mock the Unix Make Utility
Version: 1.0.1
Authors@R: person(given = "Andreas Dominik", family = "Cullmann", email = "fvafrcu@arcor.de", role = c("aut", "cre"))
Description: Use R as a minimal build system. This might come in handy if you are developing R packages and can not use a proper build system. Stay away if you can (use a proper build system).
Depends: R (>= 3.3.1)
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/fvafrCU/fakemake
Suggests: knitr, rmarkdown, testthat, RUnit, devtools, rprojroot, roxygen2, hunspell, cleanr, lintr, covr
Imports: MakefileR, callr, withr, utils, igraph, graphics
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-21 16:58:56 UTC; qwer
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@arcor.de>
Repository: CRAN
Date/Publication: 2017-11-21 18:28:55 UTC

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New package dbplot with initial version 0.1.0
Package: dbplot
Version: 0.1.0
Title: Simplifies Plotting Data Inside Databases
Description: Leverages 'dplyr' to process the calculations of a plot inside a database. This package provides helper functions that abstract the work at three levels: outputs a 'ggplot', outputs the calculations, outputs the formula needed to calculate bins.
Authors@R: person("Edgar", "Ruiz", email = "edgar@rstudio.com", role = c("aut", "cre"))
Depends: R (>= 3.1), dplyr(>= 0.7), rlang
Suggests: testthat, ggplot2
License: GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-21 16:19:34 UTC; edgar
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@rstudio.com>
Repository: CRAN
Date/Publication: 2017-11-21 18:21:39 UTC

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New package biofiles with initial version 1.0.0
Package: biofiles
Type: Package
Title: An Interface for GenBank/GenPept Flat Files
Version: 1.0.0
Author: Gerhard Schöfl [aut, cre]
Maintainer: Gerhard Schöfl <gerhard.schofl@gmail.com>
Description: Parse GenBank/GenPept records <https://www.ncbi.nlm.nih.gov/Sitemap/samplerecord.html> into native R objects to easily access and manipulate the sequence and annotation information.
Depends: R (>= 3.3.1), Rcpp (>= 0.11.0)
LinkingTo: Rcpp (>= 0.11.0)
Imports: assertthat, BiocGenerics, Biostrings, foreach, GenomeInfoDb, GenomicRanges, IRanges, iterators, methods, parallel, RCurl, reutils, stats, S4Vectors, XVector
Suggests: doParallel, testthat, BiocStyle, knitr, covr
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/gschofl/biofiles
BugReports: https://github.com/gschofl/biofiles/issues
Collate: 'RcppExports.R' 'utils.R' 'all-generics.R' 'biofiles-package.R' 'filter.R' 'flanking.R' 'gbHeader-class.R' 'gbLocation-class.R' 'gbFeature-class.R' 'gbFeatureTable-class.R' 'gbRecord-class.R' 'gbRecordList-class.R' 'genome-record-from-ncbi.R' 'make-ranges.R' 'misc-functions.R' 'parser-general.R' 'parser-embl.R' 'parser-gbk.R' 'select.R' 'shift.R' 'write-feature-table.R' 'write-genbank.R' 'zzz.R'
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-21 12:39:16 UTC; gerhard
Repository: CRAN
Date/Publication: 2017-11-21 18:16:48 UTC

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New package trialr with initial version 0.0.1
Package: trialr
Type: Package
Title: Clinical Trial Designs in 'RStan'
Version: 0.0.1
Date: 2017-11-01
Authors@R: c(person("Kristian", "Brock", email = "kristian.brock@gmail.com", role = c("aut", "cre")), person("Trustees of", "Columbia University", role = "cph"))
Maintainer: Kristian Brock <kristian.brock@gmail.com>
Description: A showcase of Bayesian clinical trial designs, implemented in 'RStan' and R. Some designs are implemented in R for the first time (e.g. 'EffTox' by Thall and Cook, 2004, <https://biostatistics.mdanderson.org/softwaredownload/SingleSoftware.aspx?Software_Id=2>). Given the emphasis on flexibility in Bayesian analysis, the implementations in a common language and style may serve as a cookbook to encourage the use of Bayesian methods in trials. Compiled 'RStan' models are provided in addition to helper functions to perform simulations and inference on observed trial outcomes. There is a preponderance of early phase trial designs because this is where Bayesian methods are used most. If there is a published Bayesian design you want implemented in 'Stan', get in touch.
License: GPL-3
Depends: R (>= 3.0.2), Rcpp (>= 0.12.8), methods (>= 3.3.2)
Imports: rstan (>= 2.12.1), rstantools (>= 1.1.0), gtools
LinkingTo: StanHeaders (>= 2.12.0.1), rstan (>= 2.12.1), BH (>= 1.62.0.1), Rcpp (>= 0.12.8), RcppEigen (>= 0.3.2.9.0)
Suggests: knitr, rmarkdown, ggplot2
URL: https://github.com/brockk/trialr
BugReports: https://github.com/brockk/trialr/issues
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-11-20 20:09:10 UTC; krist
Author: Kristian Brock [aut, cre], Trustees of Columbia University [cph]
Repository: CRAN
Date/Publication: 2017-11-21 15:33:55 UTC

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New package KenSyn with initial version 0.1
Package: KenSyn
Version: 0.1
Date: 2017-11-20
Title: Knowledge Synthesis in Agriculture - From Experimental Network to Meta-Analysis
Authors@R: c(person("David", "Makowski (INRA)", role = "aut",email = "david.makowski@inra.fr"), person("Francois", "Piraux (Arvalis)", role = "aut", email = "f.piraux@arvalisinstitutduvegetal.fr"), person("Francois", "Brun (ACTA)", role = c("aut", "cre") , email = "francois.brun@acta.asso.fr"))
Maintainer: Francois Brun (ACTA) <francois.brun@acta.asso.fr>
Depends: R(>= 3.0.0)
Imports: nlme, lme4
Description: Demo and datasets accompanying the book "Knowledge Synthesis: From Experimental Network to Meta-Analysis" (Makowski, Piraux and Brun, in preparation for December 2017).
License: LGPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Type: Package
URL: http://www.modelia.org
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-20 19:26:43 UTC; Francois BRUN
Author: David Makowski (INRA) [aut], Francois Piraux (Arvalis) [aut], Francois Brun (ACTA) [aut, cre]
Repository: CRAN
Date/Publication: 2017-11-21 15:31:12 UTC

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New package Rraven with initial version 1.0.0
Type: Package
Package: Rraven
Title: Connecting R and 'Raven' Sound Analysis Software
Version: 1.0.0
Date: 2017-11-19
Author: Marcelo Araya-Salas
Maintainer: Marcelo Araya-Salas <araya-salas@cornell.edu>
Description: A tool to exchange data between R and 'Raven' sound analysis software <http://www.birds.cornell.edu/brp/raven/RavenOverview.html> (Cornell Lab of Ornithology). Functions work on data formats compatible with the R package 'warbleR'.
License: GPL (>= 2)
Imports: pbapply, warbleR, utils, stats, vegan
Depends: R (>= 3.2.1)
LazyData: TRUE
URL: https://github.com/maRce10/Rraven
BugReports: https://github.com/maRce10/Rraven/issues
NeedsCompilation: no
Suggests: knitr
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Packaged: 2017-11-20 23:45:16 UTC; m
Repository: CRAN
Date/Publication: 2017-11-21 11:34:31 UTC

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Mon, 20 Nov 2017

New package siland with initial version 1.0
Package: siland
Type: Package
Title: Spatial Influence of Landscape
Version: 1.0
Date: 2017-10-29
Author: Carpentier F. and Martin O.
Maintainer: Martin Olivier <olivier.martin@inra.fr>
Description: Method to estimate the spatial influence scales of landscape variables on a response variable. The method is based on Chandler and Hepinstall-Cymerman (2016) Estimating the spatial scales of landscape effects on abundance, Landscape ecology, 31: 1383-1394, <doi:10.1007/s10980-016-0380-z>.
License: GPL (>= 2.0) | file LICENSE
Depends: base, graphics, stats, lme4, sp, raster, rgdal
NeedsCompilation: no
Packaged: 2017-11-20 13:25:13 UTC; omartin
Repository: CRAN
Date/Publication: 2017-11-20 18:05:48 UTC

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New package ramchoice with initial version 0.1
Package: ramchoice
Type: Package
Title: Estimation and Inference in Random Attention Models
Description: It is widely documented in psychology, economics and other disciplines that socio-economic agents do not pay full attention to all available choices, rendering standard revealed preference theory invalid. This package implements the estimation and inference procedures documented in Cattaneo, Ma, Masatlioglu and Suleymanov (2017) <http://www-personal.umich.edu/~cattaneo/papers/Cattaneo-Ma-Masatlioglu-Suleymanov_2017_RAM.pdf>, which utilizes standard choice data to partially identify and estimate decision maker's preference. For inference, different simulation-based critical values are provided.
Version: 0.1
Author: Matias D. Cattaneo, Xinwei Ma, Yusufcan Masatlioglu, Elchin Suleymanov
Maintainer: Xinwei Ma <xinweima@umich.edu>
Imports: MASS
Depends: R (>= 3.1.0)
License: GPL-2
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-20 15:22:36 UTC; xinwei
Repository: CRAN
Date/Publication: 2017-11-20 18:11:21 UTC

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New package PCRedux with initial version 0.2.5-1
Package: PCRedux
Type: Package
Title: Quantitative Polymerase Chain Reaction (qPCR) Machine Learning Helper Tool
Version: 0.2.5-1
Date: 2017-11-20
Authors@R: c(person("Stefan", "Roediger", email = "stefan.roediger@b-tu.de", role = c("cre", "aut")), person("Michal", "Burdukiewicz", email = "michalburdukiewicz@gmail.com", role = c("aut")), person("Andrej-Nikolai", "Spiess", email = "a.spiess@uke.de", role = c("aut")), person("Konstantin A.", "Blagodatskikh", email = "k.blag@yandex.ru", role = c("aut")))
Description: Extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) (Pabinger, Stephan, Stefan Roediger, Albert Kriegner, Klemens Vierlinger, and Andreas Weinhauusel (2014) <doi:10.1016/j.bdq.2014.08.002>) for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.
License: MIT + file LICENSE
URL: https://github.com/devSJR/PCRedux
BugReports: https://github.com/devSJR/PCRedux/issues
Depends: R (>= 3.3.3)
Imports: bcp, changepoint, chipPCR, ecp, fda.usc, FFTrees, magrittr, MBmca, pbapply, plotly, pracma, qpcR, robustbase, stats, testthat, utils, visdat, zoo
Suggests: data.table, drc, dplyr, knitr, RDML, readxl, rmarkdown, xtable
NeedsCompilation: no
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Packaged: 2017-11-20 15:53:28 UTC; tux
Author: Stefan Roediger [cre, aut], Michal Burdukiewicz [aut], Andrej-Nikolai Spiess [aut], Konstantin A. Blagodatskikh [aut]
Maintainer: Stefan Roediger <stefan.roediger@b-tu.de>
Repository: CRAN
Date/Publication: 2017-11-20 18:14:46 UTC

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New package mcca with initial version 0.1.0
Package: mcca
Type: Package
Title: Multi-Category Classification Accuracy
Version: 0.1.0
Author: Gao Ming, Jialiang Li
Maintainer: gaoming <gaoming96@sjtu.edu.cn>
Description: It contains six robust diagnostic accuracy methods to evaluate three or four category classifiers. Hypervolume Under Manifold (HUM), described in the paper: Jialiang Li (2008) <doi:10.1093/biostatistics/kxm050>. Jialiang Li (2014) <doi:10.3109/1354750X.2013.868516>. Correct Classification Percentage (CCP), Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), R-Squared Value (RSQ), described in the paper: Jialiang Li (2013) <doi:10.1093/biostatistics/kxs047>. Polytomous Discrimination Index (PDI), described in the paper: Van Calster B (2012) <doi:10.1007/s10654-012-9733-3>. Jialiang Li (2017) <doi:10.1177/0962280217692830>.
License: GPL
Encoding: UTF-8
LazyData: true
Imports: nnet,rpart,e1071,MASS,stats
NeedsCompilation: no
Packaged: 2017-11-20 17:00:24 UTC; Gao
Repository: CRAN
Date/Publication: 2017-11-20 18:19:26 UTC

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New package LCAvarsel with initial version 1.0
Package: LCAvarsel
Type: Package
Title: Variable Selection for Latent Class Analysis
Description: Variable selection for latent class analysis for model-based clustering of multivariate categorical data. The package implements a general framework for selecting the subset of variables with relevant clustering information and discard those that are redundant and/or not informative. The variable selection method is based on the approach of Fop et al. (2015) <arXiv:1512.03350> and Dean and Raftery (2010) <doi:10.1007/s10463-009-0258-9>. Different algorithms are available to perform the selection: stepwise, swap-stepwise and evolutionary stochastic search. Concomitant covariates used to predict the class membership probabilities can also be included in the latent class analysis model. The selection procedure can be run in parallel on multiple cores machines.
Version: 1.0
Date: 2017-11-19
Authors@R: c( person("Michael", "Fop", role = c("aut", "cre"), email = "michael.fop@ucd.ie"), person("Thomas Brendan", "Murphy", role = "ctb", email = "brendan.murphy@ucd.ie") )
Author: Michael Fop [aut, cre], Thomas Brendan Murphy [ctb]
Maintainer: Michael Fop <michael.fop@ucd.ie>
URL: https://michaelfop.github.io/
Depends: R (>= 3.4), poLCA (>= 1.4.1)
License: GPL (>= 2)
Imports: nnet, MASS, foreach, parallel, doParallel, GA, memoise
Suggests: knitr (>= 1.12), rmarkdown (>= 1.2)
ByteCompile: true
LazyData: true
NeedsCompilation: no
Packaged: 2017-11-20 15:28:18 UTC; michael
Repository: CRAN
Date/Publication: 2017-11-20 18:08:27 UTC

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New package bang with initial version 1.0.0
Package: bang
Title: Bayesian Analysis, No Gibbs
Version: 1.0.0
Date: 2017-11-20
Authors@R: c(person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk", role = c("aut", "cre", "cph")), person(c("Benjamin", "D."), "Hall", email = "benjamin.hall.16@ucl.ac.uk", role = c("aut", "cph")))
Description: Provides functions for the Bayesian analysis of some simple commonly-used models, without using Markov Chain Monte Carlo (MCMC) methods such as Gibbs sampling. The 'rust' package <https://cran.r-project.org/package=rust> is used to simulate a random sample from the required posterior distribution. At the moment three conjugate hierarchical models are available: beta-binomial, gamma-Poisson and a 1-way analysis of variance (ANOVA).
Depends: R (>= 3.3.1)
Imports: bayesplot (>= 1.1.0), graphics, methods, rust (>= 1.2.2), stats
RoxygenNote: 6.0.1
Suggests: ggplot2 (>= 2.2.1), knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: http://github.com/paulnorthrop/bang
BugReports: http://github.com/paulnorthrop/bang/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2017-11-20 14:48:14 UTC; paul
Author: Paul J. Northrop [aut, cre, cph], Benjamin D. Hall [aut, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2017-11-20 18:01:47 UTC

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New package pillar with initial version 1.0.0
Package: pillar
Title: Coloured Formatting for Columns
Version: 1.0.0
Authors@R: c( person("Kirill", "Müller", , "krlmlr+r@mailbox.org", role = c("aut", "cre")), person("Hadley", "Wickham", role = "aut"), person("RStudio", role = "cph") )
Description: Provides a 'pillar' generic designed for formatting columns of data using the full range of colours provided by modern terminals.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/hadley/pillar
BugReports: https://github.com/hadley/pillar/issues
Imports: cli, crayon (>= 1.3.4), methods, rlang, utf8
Suggests: knitr, testthat
RoxygenNote: 6.0.1
Collate: 'compat-purrr.R' 'dim.R' 'extent.R' 'multi.R' 'ornament.R' 'pillar.R' 'rowid-data.R' 'rowid-title.R' 'rowid-type.R' 'scientific.R' 'shaft.R' 'shaft-simple.R' 'sigfig.R' 'spark-bar.R' 'spark-line.R' 'strrep.R' 'styles.R' 'testthat.R' 'tick.R' 'title.R' 'type-sum.R' 'type.R' 'utils.R' 'width.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2017-11-20 04:52:16 UTC; muelleki
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2017-11-20 12:31:08 UTC

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New package longROC with initial version 1.0
Package: longROC
Type: Package
Title: Time-Dependent Prognostic Accuracy with Multiply Evaluated Bio Markers or Scores
Version: 1.0
Date: 2017-11-18
Author: Alessio Farcomeni
Maintainer: Alessio Farcomeni <alessio.farcomeni@uniroma1.it>
Description: Time-dependent Receiver Operating Characteristic curves, Area Under the Curve, and Net Reclassification Indexes for repeated measures. It is based on methods in Barbati and Farcomeni (2017) <doi:10.1007/s10260-017-0410-2>.
License: GPL (>= 2)
Depends: R (>= 3.1.2)
Imports: survival
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2017-11-19 15:54:49 UTC; afarcome
Repository: CRAN
Date/Publication: 2017-11-20 12:17:47 UTC

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New package CVXR with initial version 0.94-4
Package: CVXR
Type: Package
Title: Disciplined Convex Optimization
Version: 0.94-4
VignetteBuilder: knitr
Authors@R: c( person("Anqi", "Fu", role=c("aut", "cre"), email = "anqif@stanford.edu"), person("Balasubramanian", "Narasimhan", role=c("aut"), email = "naras@stat.stanford.edu"), person("Steven", "Diamond", role=c("aut"), email = "stevend2@stanford.edu"), person("John", "Miller", role=c("aut"), email = "miller_john@berkeley.edu"), person("Stephen", "Boyd", role=c("ctb"), email = "boyd@stanford.edu"), person("Paul Kunsberg", "Rosenfield", role=c("ctb"), email = "prosenfield@farmersbusinessnetwork.com") )
URL: https://cvxr.rbind.io, https://github.com/anqif/CVXR
BugReports: https://github.com/anqif/CVXR/issues
Description: An object-oriented modeling language for disciplined convex programming (DCP). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution.
Depends: R (>= 3.4.0)
Imports: methods, R6, Matrix, Rcpp (>= 0.12.12), bit64, gmp, Rmpfr, R.utils, ECOSolveR, scs, stats
Suggests: knitr, rmarkdown, testthat, nnls
LinkingTo: Rcpp, RcppEigen
License: Apache License 2.0 | file LICENSE
LazyData: true
Collate: 'CVXR.R' 'data.R' 'globals.R' 'generics.R' 'utilities.R' 'interface.R' 'expressions.R' 'constant.R' 'variable.R' 'lin_ops.R' 'atoms.R' 'affine.R' 'problem.R' 'constraints.R' 'elementwise.R' 'solver.R' 'problem_data.R' 'transforms.R' 'exports.R' 'rcppUtils.R' 'R6List.R' 'ProblemData-R6.R' 'LinOp-R6.R' 'LinOpVector-R6.R' 'RcppExports.R' 'CVXcanon-R6.R' 'Deque.R' 'canonInterface.R'
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-19 01:04:05 UTC; naras
Author: Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Maintainer: Anqi Fu <anqif@stanford.edu>
Repository: CRAN
Date/Publication: 2017-11-20 12:23:50 UTC

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New package strider with initial version 1.0
Package: strider
Type: Package
Title: Strided Iterator and Range
Version: 1.0
Date: 2017-11-03
Authors@R: person("Tim", "Keitt", email = "tkeitt@gmail.com", role = c("aut", "cre"))
Description: The strided iterator adapts multidimensional buffers to work with the C++ standard library and range-based for-loops. Given a pointer or iterator into a multidimensional data buffer, one can generate an iterator range using make_strided to construct strided versions of the standard library's begin and end. For constructing range-based for-loops, a strided_range class is provided. These help authors avoid integer-based indexing, which in some cases can impede algorithm performance and introduce indexing errors. This library exists primarily to expose the header file to other R projects.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.13)
LinkingTo: Rcpp, BH
Suggests: knitr, rmarkdown, testthat, microbenchmark, ggplot2, dplyr, covr
VignetteBuilder: knitr
URL: https://github.com/thk686/strider
BugReports: https://github.com/thk686/strider/issues
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-18 19:46:58 UTC; tkeitt
Author: Tim Keitt [aut, cre]
Maintainer: Tim Keitt <tkeitt@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-20 11:44:13 UTC

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New package rsed with initial version 0.1.1
Package: rsed
Title: Stream Editing in R
Version: 0.1.1
Date: 2017-11-18
Authors@R: c(person("Landon", "Sego", role = c("aut", "cre"), email = "LHS@byu.net"))
Description: Tools for stream editing: manipulating text files with insertions, replacements, deletions, substitutions, and commenting.
Imports: Smisc
Suggests: testthat
License: BSD_3_clause + file LICENSE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-19 06:51:04 UTC; lhs
Author: Landon Sego [aut, cre]
Maintainer: Landon Sego <LHS@byu.net>
Repository: CRAN
Date/Publication: 2017-11-20 12:00:45 UTC

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New package praznik with initial version 1.0.0
Package: praznik
Type: Package
Title: Collection of Information-Based Feature Selection Filters
Version: 1.0.0
Depends: R (>= 2.10)
Author: Miron B. Kursa
Maintainer: Miron B. Kursa <M.Kursa@icm.edu.pl>
License: GPL-3
Description: A collection of feature selection filters performing greedy optimisation of mutual information-based usefulness criteria, inspired by the overview by Brown, Pocock, Zhao and Lujan (2012) <http://www.jmlr.org/papers/v13/brown12a.html>. Implements, among other, minimum redundancy maximal relevancy ('mRMR') method by Peng, Long and Ding (2005) <doi:10.1109/TPAMI.2005.159>; joint mutual information ('JMI') method by Yang and Moody (1999) <http://papers.nips.cc/paper/1779-data-visualization-and-feature-selection-new-algorithms-for-nongaussian-data>; double input symmetrical relevance ('DISR') method by Meyer and Bontempi (2006) <doi:10.1007/11732242_9> as well as joint mutual information maximisation ('JMIM') method by Bennasar, Hicks and Setchi (2015) <doi:10.1016/j.eswa.2015.07.007>.
BugReports: https://github.com/mbq/praznik/issues
URL: https://github.com/mbq/praznik
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2017-11-18 02:00:58 UTC; mbq
Repository: CRAN
Date/Publication: 2017-11-20 09:47:46 UTC

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New package LPKsample with initial version 1.0
Package: LPKsample
Type: Package
Title: LP Nonparametric High Dimension K-Sample Comparison
Version: 1.0
Date: 2017-11-06
Author: Subhadeep Mukhopadhyay, Kaijun Wang
Maintainer: Kaijun Wang <kaijun.wang@temple.edu>
Description: LP nonparametric high-dimensional K-sample comparison method that includes (i) confirmatory test; (ii) exploratory results and (iii) options to output a data-driven LP-transformed matrix for classification. The primary reference is Mukhopadhyay, S. and Wang, K. (2017, Technical Report).
Depends: R (>= 2.10), apcluster, igraph, mclust
License: GPL-2
NeedsCompilation: no
Packaged: 2017-11-17 18:06:50 UTC; AquinasUnit
Repository: CRAN
Date/Publication: 2017-11-20 09:20:35 UTC

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New package ldat with initial version 0.1.0
Package: ldat
Title: Large Data Sets
Version: 0.1.0
Date: 2017-11-16
Author: Jan van der Laan
Maintainer: Jan van der Laan <djvanderlaan@unrealizedtime.nl>
Description: Tools for working with vectors and data sets that are too large to keep in memory. Extends the basic functionality provided in the 'lvec' package. Provides basis statistical functionality of 'lvec' objects, such as arithmetic operations and calculating means and sums. Also implements 'data.frame'-like objects storing its data in 'lvec' objects.
URL: https://github.com/djvanderlaan/ldat
Depends: R (>= 3.3.2), lvec, stats
Imports: utils, methods
Suggests: testthat
LinkingTo: lvec, BH
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-11-16 14:50:16 UTC; eoos
Repository: CRAN
Date/Publication: 2017-11-20 09:12:19 UTC

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New package kgc with initial version 1.0.0.1
Package: kgc
Version: 1.0.0.1
Date: 2017-11-09
Title: Koeppen-Geiger Climatic Zones
Authors@R: c(person("Chelsey", "Bryant", email = "clb117@case.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3603-4854")), person("Nicholas R.", "Wheeler", email = "nrw16@case.edu", role = c("aut"), comment = c(ORCID = "0000-0003-2248-8919")), person("Franz", "Rubel", email = "franz.rubel@vetmeduni.ac.at", role = c("aut"), comment = c(ORCID = "0000-0002-0048-7379")), person("Roger H.", "French", email = "rxf131@case.edu", role = c("aut"), comment = c(ORCID = "0000-0002-6162-0532")))
Author: Chelsey Bryant [aut, cre] (0000-0003-3603-4854), Nicholas R. Wheeler [aut] (0000-0003-2248-8919), Franz Rubel [aut] (0000-0002-0048-7379), Roger H. French [aut] (0000-0002-6162-0532)
Maintainer: Chelsey Bryant <clb117@case.edu>
Depends: R (>= 3.3.2), shiny, shinythemes, plyr
Suggests: knitr, rmarkdown, testthat
Encoding: UTF-8
LazyData: true
Description: Aids in identifying the Koeppen-Geiger (KG) climatic zone for a given location. The Koeppen-Geiger climate zones were first published in 1884, as a system to classify regions of the earth by their relative heat and humidity through the year, for the benefit of human health, plant and agriculture and other human activity [1]. This climate zone classification system, applicable to all of the earths surface, has continued to be developed by scientists up to the present day. Recently one of use (FZ) has published updated, higher accuracy KG climate zone definitions [2]. In this package we use these updated high-resolution maps as the data source [3]. We provide functions that return the KG climate zone for a given longitude and lattitude, or for a given United States zip code. In addition the CZUncertainty() function will check climate zones nearby to check if the given location is near a climate zone boundary. In addition an interactive shiny app is provided to define the KG climate zone for a given longitude and lattitude, or United States zip code. Digital data, as well as animated maps, showing the shift of the climate zones are provided on the following website <http://koeppen-geiger.vu-wien.ac.at>. This work was supported by the DOE-EERE SunShot award DE-EE-0007140. [1] W. Koeppen, (2011) <doi:10.1127/0941-2948/2011/105>. [2] F. Rubel and M. Kottek, (2010) <doi:10.1127/0941-2948/2010/0430>. [3] F. Rubel, K. Brugger, K. Haslinger, and I. Auer, (2016) <doi:10.1127/metz/2016/0816>.
License: BSD_2_clause + file LICENSE
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-17 18:51:40 UTC; nrw16
Repository: CRAN
Date/Publication: 2017-11-20 09:18:07 UTC

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Fri, 17 Nov 2017

New package YPInterimTesting with initial version 0.1.0
Package: YPInterimTesting
Type: Package
Title: Interim Monitoring Using Adaptively Weighted Log-Rank Test in Clinical Trials
Version: 0.1.0
Author: Daewoo Pak and Song Yang
Maintainer: Daewoo Pak <heavyrain.pak@gmail.com>
Description: Provide monitoring boundaries for interim testing using the adaptively weighted log-rank test developed by Yang and Prentice (2010 <doi:10.1111/j.1541-0420.2009.01243.x>). The package use a re-sampling method to obtain stopping boundaries in sequential designs. The output consists of stopping boundaries at the interim looks along with nominal p-values defined as the probability of the test exceeding the specific observed value or critical value, regardless of the test behavior at other looks. The asymptotic distribution of the test statistics of the adaptively weighted log-rank test at the interim looks is examined in Yang (2017, pre-print).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-11-17 18:54:40 UTC; daewoo
Repository: CRAN
Date/Publication: 2017-11-17 19:05:19 UTC

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New package spotifyr with initial version 1.0.0
Package: spotifyr
Title: Pull Track Audio Features from the 'Spotify' Web API
Version: 1.0.0
Authors@R: person("Charlie", "Thompson", email = "charles.thompson@barcelonagse.eu", role = c("aut", "cre"))
Description: A wrapper for pulling track audio features from the 'Spotify' Web API <http://developer.spotify.com/web-api> in bulk. By automatically batching API requests, it allows you to enter an artist's name and retrieve their entire discography in seconds, along with audio features and track/album popularity metrics. You can also pull song and playlist information for a given 'Spotify' user (including yourself!).
Depends: R (>= 3.3.3)
Imports: dplyr, purrr, tidyr, httr, lubridate
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
URL: http://github.com/charlie86/spotifyr
BugReports: http://github.com/charlie86/spotifyr/issues
NeedsCompilation: no
Packaged: 2017-11-17 15:28:19 UTC; chuck
Author: Charlie Thompson [aut, cre]
Maintainer: Charlie Thompson <charles.thompson@barcelonagse.eu>
Repository: CRAN
Date/Publication: 2017-11-17 18:24:19 UTC

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New package ordinalClust with initial version 1.1
Package: ordinalClust
Type: Package
Title: Ordinal Data Clustering, Co-Clustering and Classification
Version: 1.1
Date: 2017-11-16
Author: Margot Selosse, Julien Jacques, Christophe Biernacki
Maintainer: Margot Selosse <margot.selosse@gmail.com>
Description: Ordinal data classification, clustering and co-clustering using model-based approach with the Bos distribution for ordinal data (Christophe Biernacki and Julien Jacques (2016) <doi:10.1007/s11222-015-9585-2>).
Imports: Rcpp (>= 0.12.10)
LinkingTo: Rcpp, RcppArmadillo
Depends: stats (>= 3.3.2), progress (>= 1.1.2)
License: GPL (>= 3)
Suggests: knitr, rmarkdown, caret, ggplot2
VignetteBuilder: knitr
LazyData: true
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2017-11-17 17:45:46 UTC; Admin
Repository: CRAN
Date/Publication: 2017-11-17 18:48:08 UTC

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New package sparkavro with initial version 0.1.0
Package: sparkavro
Type: Package
Title: Load Avro File into 'Apache Spark'
Version: 0.1.0
Author: Aki Ariga
Maintainer: Aki Ariga <chezou@gmail.com>
Description: Load Avro Files into 'Apache Spark' using 'sparklyr'. This allows to read files from 'Apache Avro' <https://avro.apache.org/>.
License: Apache License 2.0 | file LICENSE
BugReports: https://github.com/chezou/sparkavro
Encoding: UTF-8
LazyData: true
Imports: sparklyr, dplyr, DBI
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-11-17 13:53:06 UTC; aki
Repository: CRAN
Date/Publication: 2017-11-17 14:45:51 UTC

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New package xpose with initial version 0.4.0
Package: xpose
Type: Package
Title: Diagnostics for Pharmacometric Models
Version: 0.4.0
Authors@R: c( person('Benjamin', 'Guiastrennec', role = c('aut', 'cre', 'cph'), email = 'guiastrennec@gmail.com'), person('Andrew C.', 'Hooker', role = c('aut', 'cph'), email = 'andrew.hooker@farmbio.uu.se'), person('Anna', 'Olofsson', role = c('aut', 'cph'), email = 'anna.olofsson@pharmetheus.com'), person('Sebastian', 'Ueckert', role = c('aut', 'cph'), email = 'sebastian.ueckert@farmbio.uu.se'), person('Ron', 'Keizer', role = 'aut', email = 'ronkeizer@gmail.com'), person('Nick', 'Solomon', role = 'ctb', comment = 'Wrote the geom_qq_line function', email = 'nick@nicksolomon.me'), person('Kajsa', 'Harling', role = 'ctb', email = 'kajsa.harling@pharmetheus.com'), person('Mike K.', 'Smith', role = 'ctb', email = 'mike.k.smith@pfizer.com'), person('Elodie', 'Plan', role = 'ctb', email = 'elodie.plan@pharmetheus.com'), person('Mats O.', 'Karlsson', role = c('aut', 'cph'), email = 'mats.karlsson@farmbio.uu.se'), person('Pharmetheus', role = 'ctb', email = 'info@pharmetheus.com'), person('Pfizer', role = 'ctb'))
Description: Diagnostics for non-linear mixed-effects (population) models from 'NONMEM' <http://www.iconplc.com/innovation/nonmem/>. 'xpose' facilitates data import, creation of numerical run summary and provide 'ggplot2'-based graphics for data exploration and model diagnostics.
Depends: R (>= 3.1.2), ggplot2 (>= 2.2.1)
Imports: dplyr (>= 0.7.0), ggforce, grDevices, gridExtra, purrr (>= 0.2.0), readr, rlang (>= 0.1.2), stringr, tibble (>= 1.3.1), tidyr (>= 0.6), utils, stats, vpc (>= 1.0.0)
Suggests: rmarkdown, knitr, testthat, plotly, webshot, mvtnorm
License: LGPL-3
URL: https://github.com/UUPharmacometrics/xpose
BugReports: https://github.com/UUPharmacometrics/xpose/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-14 14:55:53 UTC; bengu839
Author: Benjamin Guiastrennec [aut, cre, cph], Andrew C. Hooker [aut, cph], Anna Olofsson [aut, cph], Sebastian Ueckert [aut, cph], Ron Keizer [aut], Nick Solomon [ctb] (Wrote the geom_qq_line function), Kajsa Harling [ctb], Mike K. Smith [ctb], Elodie Plan [ctb], Mats O. Karlsson [aut, cph], Pharmetheus [ctb], Pfizer [ctb]
Maintainer: Benjamin Guiastrennec <guiastrennec@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-17 12:33:43 UTC

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New package spMaps with initial version 0.1
Package: spMaps
Type: Package
Title: Europe SpatialPolygonsDataFrame Builder
Version: 0.1
Date: 2017-11-15
Authors@R: c( person("Jalal-Edine", "ZAWAM", email = "jalal-edine.zawam@rte-france.com", role = c("aut", "cre")), person("Benoit", "Thieurmel", email = "benoit.thieurmel@datastorm.fr", role = "aut"), person("RTE", role = "cph") )
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>
Description: Build custom Europe SpatialPolygonsDataFrame, if you don't know what is a SpatialPolygonsDataFrame see SpatialPolygons() in 'sp', by example for mapLayout() in 'antaresViz'. Antares is a powerful software developed by RTE to simulate and study electric power systems (more information about 'Antares' here: <https://antares.rte-france.com>).
URL: https://github.com/rte-antares-rpackage/antaresMaps
BugReports: https://github.com/rte-antares-rpackage/antaresMaps/issues
License: GPL (>= 2) | file LICENSE
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 2.10), sp
RoxygenNote: 6.0.1
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2017-11-16 07:47:02 UTC; jalazawa
Author: Jalal-Edine ZAWAM [aut, cre], Benoit Thieurmel [aut], RTE [cph]
Repository: CRAN
Date/Publication: 2017-11-17 12:38:17 UTC

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New package available with initial version 1.0.0
Package: available
Title: Check if the Title of a Package is Available, Appropriate and Interesting
Version: 1.0.0
Authors@R: c( person("Carl", "Ganz", role = c("aut")), person("Gábor", "Csárdi", , "csardi.gabor@gmail.com", role = c("aut")), person("Jim", "Hester", email = "james.f.hester@gmail.com", role = c("aut", "cre")), person("Molly", "Lewis", role = c("aut")), person("Rachael", "Tatman", role = c("aut")) )
Description: Check if a given package name is available to use. It checks the name's validity. Checks if it is used on 'GitHub', 'CRAN' and 'Bioconductor'. Checks for unintended meanings by querying Urban Dictionary, 'Wiktionary' and Wikipedia.
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: cli, clisymbols, crayon, tidytext, desc, glue, jsonlite, memoise, purrr, SnowballC, stringdist, tibble, udapi, yesno
Suggests: devtools, BiocInstaller, testthat
URL: https://github.com/ropenscilabs/available
BugReports: https://github.com/ropenscilabs/available/issues
NeedsCompilation: no
Packaged: 2017-11-14 15:32:46 UTC; jhester
Author: Carl Ganz [aut], Gábor Csárdi [aut], Jim Hester [aut, cre], Molly Lewis [aut], Rachael Tatman [aut]
Maintainer: Jim Hester <james.f.hester@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-17 12:35:17 UTC

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New package proPubBills with initial version 0.1
Package: proPubBills
Version: 0.1
Date: 2017-11-15
Title: 'ProPublica' U.S. Congress Bills API Wrapper
Description: An API wrapper around the 'ProPublica' API <https://projects.propublica.org/api-docs/congress-api/> for U.S. Congressional Bills. Users can include their API key, U.S. Congress, branch, and offset ranges, to return a dataframe of all results within those parameters. This package is different from the 'RPublica' package because it is for the 'ProPublica' U.S. Congress data API, and the 'RPublica' package is for the Nonprofit Explorer, Forensics, and Free the Files data APIs.
Imports: httr, dplyr, stringr
Author: Nadine Fischoff <nadine.khattak@gmail.com>
Maintainer: Nadine Fischoff <nadine.khattak@gmail.com>
License: MIT + file LICENSE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-11-17 12:08:16 UTC; nadinekhattak
Repository: CRAN
Date/Publication: 2017-11-17 12:26:11 UTC

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New package logihist with initial version 1.0
Package: logihist
Type: Package
Title: Combined Graphs for Logistic Regression
Version: 1.0
Date: 2017-11-16
Author: Marcelino de la Cruz
Depends: ggplot2
Suggests: popbio
Maintainer: Marcelino de la Cruz <marcelino.delacruz@urjc.es>
Description: Provides histograms, boxplots and dotplots as alternatives to scatterplots of data when plotting fitted logistic regressions.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-11-16 20:29:41 UTC; marcelino
Repository: CRAN
Date/Publication: 2017-11-17 12:05:51 UTC

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New package fAsianOptions with initial version 3042.82
Package: fAsianOptions
Title: Rmetrics - EBM and Asian Option Valuation
Date: 2017-11-12
Version: 3042.82
Author: Diethelm Wuertz [aut], Tobias Setz [cre]
Maintainer: Tobias Setz <tobias.setz@live.com>
Description: Provides functions for pricing and valuating Asian Options together with tools for analyzing and modeling Exponential Brownian Motion (EBM).
Depends: R (>= 2.15.1), timeDate, timeSeries, fBasics, fOptions
Imports: stats
Suggests: methods, RUnit
LazyData: yes
License: GPL (>= 2)
URL: http://www.rmetrics.org
NeedsCompilation: yes
Packaged: 2017-11-17 07:23:59 UTC; Tobias Setz
Repository: CRAN
Date/Publication: 2017-11-17 12:09:14 UTC

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New package ArchaeoChron with initial version 0.1
Package: ArchaeoChron
Type: Package
Title: Bayesian Modeling of Archaeological Chronologies
Version: 0.1
Date: 2017-11-16
Author: Anne Philippe [aut, cre], Marie-Anne Vibet [aut]
Authors@R: c( person("Anne", "Philippe", role = c("aut", "cre"), email = "anne.philippe@univ-nantes.fr"), person("Marie-Anne", "Vibet", role = c("aut")) )
Maintainer: Anne Philippe <anne.philippe@univ-nantes.fr>
Description: Provides a list of functions for the Bayesian modeling of archaeological chronologies. The Bayesian models are implemented in 'JAGS' ('JAGS' stands for Just Another Gibbs Sampler. It is a program for the analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation. See <http://mcmc-jags.sourceforge.net/> and "JAGS Version 4.3.0 user manual", Martin Plummer (2017) <https://sourceforge.net/projects/mcmc-jags/files/Manuals/>.). The inputs are measurements with their associated standard deviations and the study period. The output is the MCMC sample of the posterior distribution of the event date with or without radiocarbon calibration.
License: GPL-3
Depends: R (>= 2.10), coda, rjags, ArchaeoPhases
Imports: stats, utils, graphics, grDevices, Bchron
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-11-17 09:20:44 UTC; vibet
Repository: CRAN
Date/Publication: 2017-11-17 12:15:57 UTC

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New package RHawkes with initial version 0.0
Package: RHawkes
Type: Package
Title: Renewal Hawkes Process
Version: 0.0
Date: 2017-11-16
Author: Feng Chen <feng.chen@unsw.edu.au> Thomas Stindl <t.stindl@unsw.edu.au>
Maintainer: Feng Chen <feng.chen@unsw.edu.au>
Description: Simulate a renewal Hawkes (RHawkes) self-exciting process, with a given immigrant hazard rate function and offspring density function. Calculate the likelihood of a RHawkes process with given hazard rate function and offspring density function for an (increasing) sequence of event times. Calculate the Rosenblatt residuals of the event times. Predict future event times based on observed event times up to a given time. For details see Chen and Stindl (2017) <doi:10.1080/10618600.2017.1341324>.
License: GPL (>= 2)
Depends: R (>= 2.10), IHSEP
NeedsCompilation: no
Packaged: 2017-11-17 02:05:35 UTC; z3243864
Repository: CRAN
Date/Publication: 2017-11-17 11:48:19 UTC

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New package nmfem with initial version 1.0.0
Package: nmfem
Type: Package
Title: NMF-EM Algorithm
Version: 1.0.0
Authors@R: person("Lena", "Carel", email = "lena.carel@gmail.com", role = c("aut", "cre"))
Depends: R(>= 2.10.0)
Description: Provides a version of the Expectation-Maximization algorithm for mix-models, reducing the numbers of parameters to estimate using Non-negative Matrix Factorization methods. For more explanations, see pre-print of Carel and Alquier (2017) <arXiv:1709.03346>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: plyr, dplyr, d3heatmap, mixtools, tidyr
RoxygenNote: 6.0.1
Suggests: knitr, testthat, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-16 15:37:09 UTC; lena.carel
Author: Lena Carel [aut, cre]
Maintainer: Lena Carel <lena.carel@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-17 10:03:52 UTC

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New package ggfittext with initial version 0.5.0
Package: ggfittext
Title: Fit Text Inside a Box in 'ggplot2'
Version: 0.5.0
Authors@R: person("David", "Wilkins", email = "david@wilkox.org", role = c("aut", "cre"))
Description: Provides 'ggplot2' geoms to fit text into a box by growing, shrinking or wrapping the text.
Depends: R (>= 3.1)
License: GPL-2
LazyData: true
Imports: grid (>= 3.1), stringi (>= 1.1.2), ggplot2 (>= 2.2.1)
RoxygenNote: 6.0.1
URL: https://github.com/wilkox/ggfittext
BugReports: https://github.com/wilkox/ggfittext/issues
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-17 00:07:05 UTC; wilkox
Author: David Wilkins [aut, cre]
Maintainer: David Wilkins <david@wilkox.org>
Repository: CRAN
Date/Publication: 2017-11-17 08:35:45 UTC

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Thu, 16 Nov 2017

New package fUnitRoots with initial version 3042.79
Package: fUnitRoots
Title: Rmetrics - Modelling Trends and Unit Roots
Date: 2017-11-12
Version: 3042.79
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>
Description: Provides four addons for analyzing trends and unit roots in financial time series: (i) functions for the density and probability of the augmented Dickey-Fuller Test, (ii) functions for the density and probability of MacKinnon's unit root test statistics, (iii) reimplementations for the ADF and MacKinnon Test, and (iv) an 'urca' Unit Root Test Interface for Pfaff's unit root test suite.
Depends: R (>= 2.15.1), timeDate, timeSeries, fBasics
Imports: urca, graphics, methods, stats, utils
Suggests: RUnit
LazyData: yes
License: GPL (>= 2)
URL: http://www.rmetrics.org
NeedsCompilation: yes
Packaged: 2017-11-16 17:28:29 UTC; Tobias Setz
Repository: CRAN
Date/Publication: 2017-11-16 22:42:49 UTC

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New package fArma with initial version 3042.81
Package: fArma
Title: Rmetrics - Modelling ARMA Time Series Processes
Date: 2017-11-12
Version: 3042.81
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>
Description: Modelling ARMA Time Series Processes.
Depends: R (>= 2.15.1), timeDate, timeSeries, fBasics
Imports: methods, grDevices, graphics, stats, utils
Suggests: RUnit, tcltk
LazyData: yes
License: GPL (>= 2)
URL: http://www.rmetrics.org
NeedsCompilation: yes
Packaged: 2017-11-15 18:54:34 UTC; Tobias Setz
X-CRAN-Comment: Archived on 2017-09-11 as check problems were not corrected despite reminders.
Repository: CRAN
Date/Publication: 2017-11-16 15:16:42 UTC

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New package qle with initial version 0.16-5
Package: qle
Title: Simulation-Based Quasi-Likelihood Estimation
Version: 0.16-5
Date: 2017-11-26
Authors@R: c(person("Markus", "Baaske", role = c("aut", "cre", "cph"), email = "markus.baaske@uni-jena.de"), person("K. Gerald", "van den Boogaart", role = c("ths"), email = "boogaart@math.tu-freiberg.de"))
Author: Markus Baaske [aut, cre, cph], K. Gerald van den Boogaart [ths]
Maintainer: Markus Baaske <markus.baaske@uni-jena.de>
Description: A simulation-based quasi-likelihood method (Baaske, M. (2014) <doi:10.5566/ias.v33.p107-119>) for parameter estimation of parametric statistical models for which closed-form representations of distributional characteristics are unavailable and can only be obtained by computationally intensive simulations of the model.
Depends: R (>= 3.3.3), parallel
Imports: nloptr, digest, expm, lhs, mvtnorm
Suggests: rlecuyer, spatstat
License: GPL (>= 3)
Repository/R-Forge/Project: qle
RoxygenNote: 6.0.1
ByteCompile: true
NeedsCompilation: yes
Packaged: 2017-11-16 12:11:38 UTC; root
Repository: CRAN
Date/Publication: 2017-11-16 13:16:20 UTC

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New package CIEE with initial version 0.1.0
Package: CIEE
Type: Package
Title: Estimating and Testing Direct Effects in Directed Acyclic Graphs using Estimating Equations
Version: 0.1.0
Authors@R: c( person("Stefan", "Konigorski", email = "stefan.konigorski@gmail.com", role = c("aut", "cre")), person("Yildiz E.", "Yilmaz", email = "yyilmaz@mun.ca", role = "ctb"))
Description: In many studies across different disciplines, detailed measures of the variables of interest are available. If assumptions can be made regarding the direction of effects between the assessed variables, this has to be considered in the analysis. The functions in this package implement the novel approach CIEE (causal inference using estimating equations; Konigorski et al., 2017, Genetic Epidemiology, in press) for estimating and testing the direct effect of an exposure variable on a primary outcome, while adjusting for indirect effects of the exposure on the primary outcome through a secondary intermediate outcome and potential factors influencing the secondary outcome. The underlying directed acyclic graph (DAG) of this considered model is described in the vignette. CIEE can be applied to studies in many different fields, and it is implemented here for the analysis of a continuous primary outcome and a time-to-event primary outcome subject to censoring. CIEE uses estimating equations to obtain estimates of the direct effect and robust sandwich standard error estimates. Then, a large-sample Wald-type test statistic is computed for testing the absence of the direct effect. Additionally, standard multiple regression, regression of residuals, and the structural equation modeling approach are implemented for comparison.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: stats, survival
Suggests: lavaan, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-16 13:18:57 UTC; skonigor
Author: Stefan Konigorski [aut, cre], Yildiz E. Yilmaz [ctb]
Maintainer: Stefan Konigorski <stefan.konigorski@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-16 13:36:54 UTC

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New package ICSShiny with initial version 0.4
Package: ICSShiny
Type: Package
Title: ICS via a Shiny Application
Version: 0.4
Date: 2017-11-16
Author: Aurore Archimbaud, Joris May, Klaus Nordhausen, Anne Ruiz-Gazen
Maintainer: Klaus Nordhausen <klaus.nordhausen@tuwien.ac.at>
Description: Performs Invariant Coordinate Selection (ICS) (Tyler, Critchley, Duembgen and Oja (2009) <doi:10.1111/j.1467-9868.2009.00706.x>) and especially ICS outlier identification (Archimbaud, Nordhausen, Ruiz-Gazen (2016) <arXiv:1612.06118>) using a shiny app.
License: GPL (>= 2)
Depends: ICS, ICSOutlier, shiny
Imports: ICSNP, rrcov, simsalapar, DT
NeedsCompilation: no
Packaged: 2017-11-16 09:41:44 UTC; Klaus Nordhausen
Repository: CRAN
Date/Publication: 2017-11-16 12:28:18 UTC

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New package BayesGOF with initial version 1.3
Package: BayesGOF
Type: Package
Title: Bayesian Modeling via Goodness of Fit
Version: 1.3
Date: 2017-11-14
Author: Subhadeep Mukhopadhyay, Douglas Fletcher
Maintainer: Doug Fletcher <tug25070@temple.edu>
Description: Non-parametric method for learning prior distribution starting with parametric (subjective) prior. It performs four interconnected tasks: (i) characterizes the uncertainty of the elicited prior; (ii) exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) performs macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. (2017, Technical Report).
Depends: orthopolynom, VGAM
License: GPL-2
NeedsCompilation: no
Packaged: 2017-11-16 02:29:46 UTC; Doug
Repository: CRAN
Date/Publication: 2017-11-16 10:20:32 UTC

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New package SequentialDesign with initial version 1.0
Package: SequentialDesign
Title: Observational Database Study Planning using Exact Sequential Analysis for Poisson and Binomial Data
Version: 1.0
Authors@R: c(person("Judith", "Maro", role=c("aut", "cre"), email = "judy_maro@harvardpilgrim.org"), person("Laura", "Hou", role="aut", email="laura_hou@harvardpilgrim.org"))
Author: Judith Maro [aut, cre], Laura Hou [aut]
Maintainer: Judith Maro <judy_maro@harvardpilgrim.org>
Description: Functions to be used in conjunction with the 'Sequential' package that allows for planning of observational database studies that will be analyzed with exact sequential analysis. This package supports Poisson- and binomial-based data. The primary function, seq_wrapper(...), accepts parameters for simulation of a simple exposure pattern and for the 'Sequential' package setup and analysis functions. The exposure matrix is used to simulate the true and false positive and negative populations (Green (1983) <doi:10.1093/oxfordjournals.aje.a113521>, Brenner (1993) <doi:10.1093/oxfordjournals.aje.a116805>). Functions are then run from the 'Sequential' package on these populations, which allows for the exploration of outcome misclassification in data.
Depends: R (>= 3.3.1)
Imports: Sequential, stats
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 13:55:21 UTC; lhou2
Repository: CRAN
Date/Publication: 2017-11-16 09:52:56 UTC

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New package phenomap with initial version 1.0.1
Package: phenomap
Title: Projecting Satellite-Derived Phenology in Space
Version: 1.0.1
Date: 2017-11-13
Authors@R: person("Christian", "John", email="cjohn@ucdavis.edu", role=c("aut","cre"))
Maintainer: Christian John <cjohn@ucdavis.edu>
Depends: R (>= 3.4.2)
Imports: dplyr, phenex, plyr, raster, stringr, rgdal
Description: This takes in a series of multi-layer raster files and returns a phenology projection raster, following methodologies described in John (2016) <https://etda.libraries.psu.edu/catalog/13521clj5135>.
License: GPL-3
URL: https://github.com/JepsonNomad/phenomap
BugReports: https://github.com/JepsonNomad/phenomap/issues
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-11-15 23:35:04 UTC; christianjohn
Author: Christian John [aut, cre]
Repository: CRAN
Date/Publication: 2017-11-16 09:55:35 UTC

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New package lwgeom with initial version 0.1-0
Package: lwgeom
Version: 0.1-0
Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to some of the functions found in 'liblwgeom', the geometry library used by 'PostGIS'.
Authors@R: c(person("Edzer", "Pebesma", role = c("aut", "cre"), email = "edzer.pebesma@uni-muenster.de", comment = c(ORCID = "0000-0001-8049-7069")), person("Colin", "Rundel", role = "ctb"), person("liblwgeom developers", role = "cph"))
Depends: R (>= 3.3.0)
Imports: Rcpp, units, sf (>= 0.5-5)
Suggests: covr, testthat
LinkingTo: Rcpp
SystemRequirements: GEOS (>= 3.3.0), PROJ.4 (>= 4.8.0)
License: GPL-2
Copyright: file COPYRIGHTS
URL: https://github.com/r-spatial/lwgeom/ https://github.com/postgis/postgis/tree/svn-trunk/liblwgeom
BugReports: https://github.com/r-spatial/lwgeom/issues/
Collate: init.R RcppExports.R geohash.R split.R valid.R transform.R bounding_circle.R geodetic.R bearing.R twkb.R
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-15 19:31:52 UTC; edzer
Author: Edzer Pebesma [aut, cre] (0000-0001-8049-7069), Colin Rundel [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>
Repository: CRAN
Date/Publication: 2017-11-16 09:46:18 UTC

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New package flatr with initial version 0.1.1
Package: flatr
Type: Package
Title: Transforms Contingency Tables to Data Frames, and Analyses Them
Version: 0.1.1
Author: Scott D. Graham
Maintainer: Scott D. Graham <scott.grah95@gmail.com>
Description: Contingency Tables are a pain to work with when you want to run regressions. This package takes them, flattens them into a long data frame, so you can more easily analyse them! As well, you can calculate other related statistics. All of this is done so in a 'tidy' manner, so it should tie in nicely with 'tidyverse' series of packages.
Depends: R(>= 3.4.2), stats, dplyr, tibble, magrittr
Suggests: testthat
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 18:38:31 UTC; scott_000
Repository: CRAN
Date/Publication: 2017-11-16 09:49:33 UTC

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Wed, 15 Nov 2017

New package promote with initial version 1.0.0
Package: promote
Type: Package
Title: Client for the 'Alteryx Promote' API
Version: 1.0.0
Date: 2017-11-14
Author: Paul E. Promote <promotedev@alteryx.com>
Maintainer: Paul E. Promote <promotedev@alteryx.com>
Description: Deploy, maintain, and invoke predictive models using the 'Alteryx Promote' REST API. 'Alteryx Promote' is available at the URL: <https://www.alteryx.com/products/alteryx-promote>.
Depends: R (>= 3.2.0)
URL: https://github.com/alteryx/promote-r-client
Imports: httr, jsonlite, stringr,
License: FreeBSD
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 15:47:48 UTC; coristig
Repository: CRAN
Date/Publication: 2017-11-15 18:49:37 UTC

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New package IndepTest with initial version 0.0.6
Package: IndepTest
Type: Package
Title: Nonparametric Independence Tests Based on Entropy Estimation
Version: 0.0.6
Date: 2017-11-15
Author: Thomas B. Berrett <t.berrett@statslab.cam.ac.uk> [aut], Daniel J. Grose <dan.grose@lancaster.ac.uk> [cre,ctb], Richard J. Samworth <r.samworth@statslab.cam.ac.uk> [aut]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>
Description: Implementations of the weighted Kozachenko-Leonenko entropy estimator and independence tests based on this estimator, (Kozachenko and Leonenko (1987) <http://mi.mathnet.ru/eng/ppi797>). Also includes a goodness-of-fit test for a linear model which is an independence test between covariates and errors.
Depends: FNN,mvtnorm
Imports: Rdpack
RdMacros: Rdpack
License: GPL
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 15:42:45 UTC; grosedj1
Repository: CRAN
Date/Publication: 2017-11-15 18:56:58 UTC

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New package icensBKL with initial version 1.1
Package: icensBKL
Version: 1.1
Date: 2017-11-15
Title: Accompanion to the Book on Interval Censoring by Bogaerts, Komarek, and Lesaffre
Author: Arnošt Komárek <arnost.komarek@mff.cuni.cz>, Kris Bogaerts <kris.bogaerts@kuleuven.be>, Emmanuel Lesaffre <emmanuel.lesaffre@kuleuven.be>
Maintainer: Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Depends: R (>= 3.0.0), survival, MASS, Icens
Imports: TeachingDemos, mvtnorm, smoothSurv, gtools
Suggests: interval, logspline, mixAK, bayesSurv, DPpackage, FHtest, glrt, icenReg, frailtypack, MIICD, MLEcens, cubature, runjags, coda, ICBayes, dynsurv
Description: Contains datasets and several smaller functions suitable for analysis of interval-censored data. The package complements the book Bogaerts, Komárek and Lesaffre (2017). "Survival Analysis with Interval-Censored Data: A Practical Approach." ISBN 978-1-4200-7747-6, published by Chapman and Hall/CRC. Full R code related to the examples presented in the book can be found at <https://ibiostat.be/online-resources/icbook/supplemental>. Packages mentioned in the "Suggests" section are used in those examples.
Encoding: UTF-8
License: GPL (>= 2)
URL: https://ibiostat.be/online-resources/icbook/supplemental
NeedsCompilation: no
Packaged: 2017-11-15 08:54:16 UTC; komarek
Repository: CRAN
Date/Publication: 2017-11-15 22:00:58 UTC

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New package enc with initial version 0.1
Package: enc
Title: Portable Tools for 'UTF-8' Character Data
Date: 2017-11-12
Version: 0.1
Authors@R: person("Kirill", "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org")
Description: Implements an S3 class for storing 'UTF-8' strings, based on regular character vectors. Also contains routines to portably read and write 'UTF-8' encoded text files, to convert all strings in an object to 'UTF-8', and to create character vectors with various encodings.
Depends: R (>= 3.1)
Imports: methods
Suggests: digest, readr, rlang, testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/krlmlr/enc/issues
URL: https://github.com/krlmlr/enc
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-15 15:33:51 UTC; muelleki
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2017-11-15 18:39:33 UTC

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New package tactile with initial version 0.1.0
Package: tactile
Title: New and Extended Plots, Methods, and Panel Functions for 'lattice'
Version: 0.1.0
Authors@R: c(person("Johan", "Larsson", email = "johanlarsson@outlook.com", role = c("aut", "cre")), person("Deepayan", "Sarkar", role = c("ctb", "cph"), comment = "lattice"), person("Brian", "Ripley", role = c("ctb"), comment = "stats::plot.acf"))
Description: Extensions to 'lattice', providing new high-level functions, methods for existing functions, panel functions, and a theme.
Depends: R (>= 3.4.0), lattice
Imports: grDevices, grid, gridExtra, latticeExtra, MASS, RColorBrewer, stats, utils
Suggests: covr, forecast, knitr, rmarkdown, testthat, zoo
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/jolars/tactile
BugReports: https://github.com/jolars/tactile/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-15 15:04:07 UTC; johan
Author: Johan Larsson [aut, cre], Deepayan Sarkar [ctb, cph] (lattice), Brian Ripley [ctb] (stats::plot.acf)
Maintainer: Johan Larsson <johanlarsson@outlook.com>
Repository: CRAN
Date/Publication: 2017-11-15 15:33:40 UTC

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New package scraEP with initial version 1.0
Package: scraEP
Type: Package
Title: Scrape European Parliament Careers
Version: 1.0
Date: 2017-11-15
Author: Julien Boelaert <jubo.stats@gmail.com>
Maintainer: Julien Boelaert <jubo.stats@gmail.com>
Description: A utility to webscrape the in-house careers of members of the European parliament, from its website <http://www.europarl.europa.eu>.
License: GPL (>= 3)
Imports: XML, RCurl
NeedsCompilation: no
Packaged: 2017-11-15 11:43:35 UTC; bart
Repository: CRAN
Date/Publication: 2017-11-15 13:35:04 UTC

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New package FateID with initial version 0.0.9
Package: FateID
Title: Quantification of Fate Bias in Multipotent Progenitors
Version: 0.0.9
Date: 2017-11-07
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>
Description: Application of 'FateID' allows computation and visualization of cell fate bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar, Grün D. (2017) <bioRxiv:218115>.
Depends: R (>= 3.3.2)
biocViews:
Imports: caTools, DESeq2, destiny, graphics, grDevices, lle, locfit, pheatmap, princurve, randomForest, RColorBrewer, rgl, Rtsne, som, stats, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 09:06:31 UTC; d.grun
Repository: CRAN
Date/Publication: 2017-11-15 13:16:37 UTC

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New package Massign with initial version 1.0.0
Package: Massign
Type: Package
Title: Simple Matrix Construction
Version: 1.0.0
Author: Erik-Jan van Kesteren
Maintainer: Erik-Jan van Kesteren <e.vankesteren1@uu.nl>
Description: Constructing matrices for quick prototyping can be a nuisance, requiring the user to think about how to fill the matrix with values using the matrix() function. The %<-% operator solves that issue by allowing the user to construct matrices using code that shows the actual matrices.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 10:26:05 UTC; erikj
Repository: CRAN
Date/Publication: 2017-11-15 12:59:20 UTC

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New package boclust with initial version 0.1.0
Package: boclust
Title: A Clustering Method Based on Boosting on Single Attributes
Version: 0.1.0
Description: An overlap clustering algorithm for categorical ultra-dimension data.
Depends: R (>= 3.3)
License: GPL-2
Authors@R: c(person("Peng", "Zhang", email = "pengz@zju.edu.cn", role = c("aut")), person("Kaixiu", "Jin", email = "jinkaixiu@zju.edu.cn", role = c("aut", "cre")))
LazyData: true
RoxygenNote: 6.0.1
biocViews: genefilter(>= 1.58.1)
Imports: reshape2 (>= 1.4.2), psych (>= 1.7.3.21), Rtsne (>= 0.13), d3heatmap (>= 0.6.1.1), venn (>= 1.2), DT (>= 0.2), shiny (>= 1.0.5), ggplot2 (>= 2.2.1), stats, genefilter (>= 1.58.1)
NeedsCompilation: no
Packaged: 2017-11-15 09:52:58 UTC; Kathy
Author: Peng Zhang [aut], Kaixiu Jin [aut, cre]
Maintainer: Kaixiu Jin <jinkaixiu@zju.edu.cn>
Repository: CRAN
Date/Publication: 2017-11-15 12:29:22 UTC

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New package scriptexec with initial version 0.1.0
Package: scriptexec
Title: Execute Native Scripts
Version: 0.1.0
Authors@R: person("Sagie", "Gur-Ari", email = "sagiegurari@gmail.com", role = c("aut", "cre"))
Description: Run complex native scripts with a single command, similar to system commands.
License: Apache License 2.0
URL: https://github.com/sagiegurari/scriptexec
BugReports: https://github.com/sagiegurari/scriptexec/issues
Depends: R (>= 3.2.3)
Encoding: UTF-8
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-14 23:50:04 UTC; user
Author: Sagie Gur-Ari [aut, cre]
Maintainer: Sagie Gur-Ari <sagiegurari@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-15 10:06:32 UTC

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Tue, 14 Nov 2017

New package tribe with initial version 0.1.6
Package: tribe
Type: Package
Title: Play with the Tribe of Attributes
Version: 0.1.6
Date: 2017-11-14
Authors@R: c(person("Paul", "Poncet", , "paulponcet@yahoo.fr", role = c("aut", "cre")), person("Stefan Milton", "Bache", , "stefan@stefanbache.dk", role = "aut", comment = "for functions copied or modified from the 'magrittr' package"), person("Hadley", "Wickham", , "h.wickham@gmail.com", role = "aut", comment = "for functions copied or modified from the 'magrittr' package"))
Description: Functions to make manipulation of object attributes easier. It also contains a few functions that extend the 'dplyr' package for data manipulation, and it provides new pipe operators, including the pipe '%@>%' similar to the 'magrittr' '%>%', but with the additional functionality to enable attributes propagation.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.1.3)
Imports: bazar, dplyr, lazyeval, magrittr, rlist, rstudioapi
VignetteBuilder: knitr
Suggests: knitr, ggplot2, lplyr, observer, testthat
URL: https://github.com/paulponcet/tribe
BugReports: https://github.com/paulponcet/tribe/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-14 17:12:04 UTC; YL1101
Author: Paul Poncet [aut, cre], Stefan Milton Bache [aut] (for functions copied or modified from the 'magrittr' package), Hadley Wickham [aut] (for functions copied or modified from the 'magrittr' package)
Maintainer: Paul Poncet <paulponcet@yahoo.fr>
Repository: CRAN
Date/Publication: 2017-11-14 18:11:46 UTC

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New package tidyposterior with initial version 0.0.1
Package: tidyposterior
Version: 0.0.1
Title: Bayesian Analysis to Compare Models using Resampling Statistics
Description: Bayesian analysis used here to answer the question: "when looking at resampling results, are the differences between models 'real'?" To answer this, a model can be created were the performance statistic is the resampling statistics (e.g. accuracy or RMSE). These values are explained by the model types. In doing this, we can get parameter estimates for each model's affect on performance and make statistical (and practical) comparisons between models. The methods included here are similar to Benavoli et al (2017) <http://jmlr.org/papers/v18/16-305.html>.
Authors@R: c( person("Max", "Kuhn", , "max@rstudio.com", c("aut", "cre")), person("RStudio", role = "cph"))
License: GPL-2
URL: https://topepo.github.io/tidyposterior
BugReports: https://github.com/topepo/tidyposterior/issues
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1
Depends: ggplot2, broom, R (>= 2.10)
Imports: rsample (>= 0.0.2), tidyr, dplyr, rstanarm, rlang, utils, purrr, tibble
Suggests: knitr, testthat, covr
NeedsCompilation: no
Packaged: 2017-11-14 18:23:20 UTC; max
Author: Max Kuhn [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2017-11-14 18:55:00 UTC

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New package subsamp with initial version 0.1.0
Package: subsamp
Type: Package
Title: Subsample Winner Algorithm for Variable Selection in Linear Regression with a Large Number of Variables
Version: 0.1.0
Authors@R: c(person("Yiying", "Fan", email = "y.fan67@csuohio.edu", role = c("aut", "cre")),person("Jiayang", "Sun", email = "jsun@case.edu", role = c("aut")),person("Xingye", "Qiao", email = "qiao@math.binghamton.edu", role = c("aut")))
Maintainer: Yiying Fan <y.fan67@csuohio.edu>
Description: This subsample winner algorithm (SWA) for regression with a large-p data (X, Y) selects the important variables (or features) among the p features X in explaining the response Y. The SWA first uses a base procedure, here a linear regression, on each of subsamples randomly drawn from the p variables, and then computes the scores of all features, i.e., the p variables, according to the performance of these features collected in each of the subsample analyses. It then obtains the 'semifinalist' of the features based on the resulting scores and determines the 'finalists', i.e., the important features, from the 'semifinalist'. Fan, Sun and Qiao (2017) <http://sr2c.case.edu/swa-reg/>.
Depends: R (>= 3.0.1)
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-14 17:29:43 UTC; 2566444
Author: Yiying Fan [aut, cre], Jiayang Sun [aut], Xingye Qiao [aut]
Repository: CRAN
Date/Publication: 2017-11-14 18:52:55 UTC

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New package nipals with initial version 0.3
Package: nipals
Title: Principal Components Analysis using NIPALS with Gram-Schmidt Orthogonalization
Version: 0.3
Authors@R: person("Kevin", "Wright", email = "kw.stat@gmail.com", role = c("aut", "cre"))
Description: Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) <doi:10.1089/cmb.2008.0221>.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/kwstat/nipals
BugReports: https://github.com/kwstat/nipals/issues
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-14 17:09:24 UTC; wrightkevi
Author: Kevin Wright [aut, cre]
Maintainer: Kevin Wright <kw.stat@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-14 18:50:02 UTC

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New package ggfan with initial version 0.1.0
Package: ggfan
Type: Package
Title: Summarise a Distribution Through Coloured Intervals
Description: Implements the functionality of the 'fanplot' package as 'geoms' for 'ggplot2'. Designed for summarising MCMC samples from a posterior distribution, where a visualisation is desired for several values of a continuous covariate. Increasing posterior intervals of the sampled quantity are mapped to a continuous colour scale.
Version: 0.1.0
Authors@R: person("Jason", "Hilton", email = "jason_hilton@yahoo.com", role = c("aut", "cre"))
License: GPL-2 | file LICENSE
LazyData: TRUE
Depends: R (>= 3.1)
Imports: ggplot2, colorspace, dplyr, stats, grid
Suggests: testthat, knitr, rmarkdown, tidyr, magrittr, tibble, rstan
URL: https://github.com/jasonhilton/ggfan
BugReports: https://github.com/jasonhilton/ggfan/issues
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-14 16:55:48 UTC; jdh1d15
Author: Jason Hilton [aut, cre]
Maintainer: Jason Hilton <jason_hilton@yahoo.com>
Repository: CRAN
Date/Publication: 2017-11-14 18:15:52 UTC

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New package QRFCCA with initial version 1.0
Package: QRFCCA
Type: Package
Title: Quadratically Regularized Functional Canonical Correlation Analysis
Version: 1.0
Date: 2017-11-06
Author: Nan Lin and Momiao Xiong
Maintainer: Nan Lin <edmondlinnan@gmail.com>
Description: Conduct quadratically regularized functional canonical correlation analysis. The details of the method are explained in Nan Lin, Yun Zhu, Ruzhong Fan and Momiaoxiong (2017) <DOI:10.1371/journal.pcbi.1005788>.
License: GPL-2 | GPL-3
Depends: graphics,grDevices,stats,utils,fda,MASS,flare,corpcor,igraph
NeedsCompilation: no
Packaged: 2017-11-14 16:32:54 UTC; nlin
Repository: CRAN
Date/Publication: 2017-11-14 16:48:41 UTC

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New package ML.MSBD with initial version 1.0.0
Package: ML.MSBD
Type: Package
Title: Maximum Likelihood Inference on Multi-State Trees
Version: 1.0.0
Date: 2017-10-25
Authors@R: person("Joelle", "Barido-Sottani", email = "joelle.barido-sottani@m4x.org", role = c("aut", "cre"))
Description: Inference of a multi-states birth-death model from a phylogeny, comprising a number of states N, birth and death rates for each state and on which edges each state appears. Inference is done using a hybrid approach: states are progressively added in a greedy approach. For a fixed number of states N the best model is selected via maximum likelihood. Reference: J. Barido-Sottani and T. Stadler (2017) <doi:10.1101/215491>.
License: GPL-3
Imports: ape (>= 4.1)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-14 16:35:57 UTC; bjoelle
Author: Joelle Barido-Sottani [aut, cre]
Maintainer: Joelle Barido-Sottani <joelle.barido-sottani@m4x.org>
Repository: CRAN
Date/Publication: 2017-11-14 16:54:53 UTC

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New package bestNormalize with initial version 0.2.2
Package: bestNormalize
Type: Package
Title: Normalizing Transformation Functions
Version: 0.2.2
Date: 2017-11-13
Authors@R: person("Ryan Andrew", "Peterson", email = "ryan-peterson@uiowa.edu", role = c("aut", "cre"))
Description: Estimate a suite of normalizing transformations, including a new technique based on ranks which can guarantee normally distributed transformed data if there are no ties: Ordered Quantile Normalization. The package is built to estimate the best normalizing transformation for a vector consistently and accurately. It implements the Box-Cox transformation, the Yeo-Johnson transformation, three types of Lambert WxF transformations, and the Ordered Quantile normalization transformation.
URL: https://github.com/petersonR/bestNormalize
License: GPL-3
Depends: R (>= 3.1.0)
Imports: LambertW, nortest
Suggests: knitr, MASS, testthat, mgcv
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-14 16:19:48 UTC; rpterson
Author: Ryan Andrew Peterson [aut, cre]
Maintainer: Ryan Andrew Peterson <ryan-peterson@uiowa.edu>
Repository: CRAN
Date/Publication: 2017-11-14 16:26:23 UTC

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New package PreciseSums with initial version 0.1
Package: PreciseSums
Title: Accurate Floating Point Sums and Products
Version: 0.1
Authors@R: c(person("Matthew","Fidler", role = c("aut","cre","cph"), email = "matthew.fidler@gmail.com"), person("Raymond","Hettinger",role=c("cph","aut")), person("Jonathan", "Shewchuk",role=c("cph","aut")), person("Julian", "Taylor",role=c("cph","aut")), person("Nathaniel", "Smith",role=c("cph","aut")), person("NumPy Team", role="cph"), person("Python Team", role="cph") )
Description: Most of the time floating point arithmetic does approximately the right thing. When adding sums or having products of numbers that greatly differ in magnitude, the floating point arithmetic may be incorrect. This package implements the Kahan (1965) sum <doi:10.1145/363707.363723>, Neumaier (1974) sum <doi:10.1002/zamm.19740540106>, pairwise-sum (adapted from 'NumPy', See Castaldo (2008) <doi:10.1137/070679946> for a discussion of accuracy), and arbitrary precision sum (adapted from the fsum in 'Python' ; Shewchuk (1997) <http://www.cs.berkeley.edu/~jrs/papers/robustr.pdf>). In addition, products are changed to long double precision for accuracy, or changed into a log-sum for accuracy.
Depends: R (>= 3.2)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2017-11-14 14:30:44 UTC; FIDLEMA3
Author: Matthew Fidler [aut, cre, cph], Raymond Hettinger [cph, aut], Jonathan Shewchuk [cph, aut], Julian Taylor [cph, aut], Nathaniel Smith [cph, aut], NumPy Team [cph], Python Team [cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-14 15:48:25 UTC

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New package OptimalTiming with initial version 0.1.0
Package: OptimalTiming
Type: Package
Title: Optimal Timing Identification
Version: 0.1.0
Author: Xiao Lin <xlin3@mdanderson.org>, Xuelin Huang<xlhuang@mdanderson.org>
Maintainer: Xiao Lin <xlin3@mdanderson.org>
Description: Identify the optimal timing for new treatment initiation during multiple state disease transition, including multistate model fitting, simulation of mean residual lifetime for a given transition state, and estimation of confidence interval. The method is referred to de Wreede, L., Fiocco, M., & Putter, H. (2011) <doi:10.18637/jss.v038.i07>.
Depends: R (>= 3.0.0)
Imports: mstate, survival
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LazyLoad: true
RoxygenNote: 6.0.1
Packaged: 2017-11-14 15:15:34 UTC; xlin3
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-11-14 15:52:34 UTC

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New package oaqc with initial version 1.0
Package: oaqc
Title: Computation of the Orbit-Aware Quad Census
Version: 1.0
Authors@R: c(person("Mark", "Ortmann", email = "mark.ortmann@uni.kn", role = c("aut", "cre")), person("Felix", "Schoenenberger", role = c("aut")))
Description: Implements the efficient algorithm by Ortmann and Brandes (2017) <doi:10.1007/s41109-017-0027-2> to compute the orbit-aware frequency distribution of induced and non-induced quads, i.e. subgraphs of size four. Given an edge matrix, data frame, or a graph object (e.g., 'igraph'), the orbit-aware counts are computed respective each of the edges and nodes.
Depends: R (>= 3.4)
Suggests: igraph, knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: C++11
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Packaged: 2017-11-14 13:04:59 UTC; ortmann
Author: Mark Ortmann [aut, cre], Felix Schoenenberger [aut]
Maintainer: Mark Ortmann <mark.ortmann@uni.kn>
Repository: CRAN
Date/Publication: 2017-11-14 15:17:21 UTC

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New package likelihoodExplore with initial version 0.1.0
Package: likelihoodExplore
Type: Package
Title: Likelihood Exploration
Version: 0.1.0
Authors@R: c(person("Ben", "Barnard", email = "ben_barnard@outlook.com", role = c("aut", "cre")))
Maintainer: Ben Barnard <ben_barnard@outlook.com>
Description: Provides likelihood functions as defined by Fisher (1922) <doi:10.1098/rsta.1922.0009> and a function that creates likelihood functions from density functions. The functions are meant to aid in education of likelihood based methods.
License: GPL-2
LazyData: TRUE
RoxygenNote: 6.0.1
Suggests: covr
Imports: lazyeval, plyr
URL: https://likelihoodExplore.bearstatistics.com
NeedsCompilation: no
Packaged: 2017-11-14 14:52:30 UTC; ben_barnard
Author: Ben Barnard [aut, cre]
Repository: CRAN
Date/Publication: 2017-11-14 15:51:01 UTC

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New package BootValidation with initial version 0.1.3
Package: BootValidation
Type: Package
Title: Adjusting for Optimism in 'glmnet' Regression using Bootstrapping
Version: 0.1.3
Author: Antonio Jose Canada Martinez
Maintainer: Antonio Jose Canada Martinez <ancamar2@gmail.com>
Description: Main objective of a predictive model is to provide accurated predictions of a new observations. Unfortunately we don't know how well the model performs. In addition, at the current era of omic data where p >> n, is not reasonable applying internal validation using data-splitting. Under this background a good method to assessing model performance is applying internal bootstrap validation (Harrell Jr, Frank E (2015) <doi:10.1007/978-1-4757-3462-1>.) This package provides bootstrap validation for the linear and logistic 'glmnet' models.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: glmnet, pbapply, pROC, parallel
RdMacros: Rdpack
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-14 13:28:30 UTC; 53257632M
Repository: CRAN
Date/Publication: 2017-11-14 15:30:31 UTC

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New package rpgm with initial version 1.1.1
Package: rpgm
Type: Package
Title: Fast Simulation of Normal/Exponential Random Variables and Stochastic Differential Equations / Poisson Processes
Version: 1.1.1
Date: 2017-08-10
Author: Nicolas Baradel
Maintainer: Nicolas Baradel - PGM Solutions <nicolas.baradel@pgm-solutions.com>
Description: Fast simulation of some random variables than the usual native functions, including rnorm() and rexp(), using Ziggurat method, reference: MARSAGLIA, George, TSANG, Wai Wan, and al. (2000) <doi:10.18637/jss.v005.i08>, and fast simulation of stochastic differential equations / Poisson processes.
License: GPL-3
URL: https://pgm-solutions.com/packages
NeedsCompilation: yes
SystemRequirements: C++11
Packaged: 2017-11-14 09:50:08 UTC; Nicolas
Repository: CRAN
Date/Publication: 2017-11-14 14:44:20 UTC

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New package Rgretl with initial version 0.1.5
Package: Rgretl
Type: Package
Title: Interface to 'gretlcli'
Version: 0.1.5
Date: 2017-11-08
Author: Oleh Komashko
Maintainer: Oleh Komashko <oleg_komashko@ukr.net>
Depends: R (>= 3.3.1)
Imports: compiler
SystemRequirements: gretl (>= 2016c), gretlcli
Description: An interface to 'GNU gretl': running 'gretl' scripts from, estimating econometric models with backward passing of model results, opening 'gretl' data files (.gdt). 'gretl' can be downloaded from <http://gretl.sourceforge.net>. This package could make life on introductory/intermediate econometrics courses much easier: full battery of the required regression diagnostics, including White's heteroskedasticity test, restricted ols estimation, advanced weak instrument test after iv estimation, very convenient dealing with lagged variables in models, standard case treatment in unit root tests, vector auto- regressions, and vector error correction models. Datasets for 8 popular econometrics textbooks can be installed into 'gretl' from its server. All datasets can be easily imported using this package.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-11-07 22:40:28 UTC; oleh
Repository: CRAN
Date/Publication: 2017-11-14 13:46:30 UTC

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New package mazealls with initial version 0.1.0
Package: mazealls
Maintainer: Steven E. Pav <shabbychef@gmail.com>
Authors@R: c(person(c("Steven", "E."), "Pav", role=c("aut","cre"), email="shabbychef@gmail.com", comment = c(ORCID = "0000-0002-4197-6195")))
Version: 0.1.0
Date: 2017-11-13
License: LGPL-3
Title: Generate Recursive Mazes
BugReports: https://github.com/shabbychef/mazealls/issues
Description: Supports the generation of parallelogram, equilateral triangle, regular hexagon, isosceles trapezoid and Koch snowflake mazes via 'TurtleGraphics'. Mazes are generated by the recursive method: the domain is divided into sub-domains in which mazes are generated, then dividing lines with holes are drawn between them, see J. Buck, Recursive Division, <http://weblog.jamisbuck.org/2011/1/12/maze-generation-recursive-division-algorithm>.
Depends: R (>= 3.0.2)
Imports: TurtleGraphics
Suggests: testthat, knitr
URL: https://github.com/shabbychef/mazealls
Collate: 'eq_triangle_maze.r' 'hexagon_maze.r' 'holey_line.r' 'holey_path.r' 'iso_trapezoid_maze.r' 'koch_maze.r' 'mazealls.r' 'parallelogram_maze.r' 'utils.r'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-14 06:23:32 UTC; root
Author: Steven E. Pav [aut, cre] (0000-0002-4197-6195)
Repository: CRAN
Date/Publication: 2017-11-14 11:21:21 UTC

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New package variosig with initial version 0.1
Package: variosig
Type: Package
Imports: gstat, geoR, sp
Depends: R (>= 3.1.0)
Title: Spatial Dependence Based on Empirical Variograms
Version: 0.1
Author: Craig Wang
Maintainer: Craig Wang <craig.wang@uzh.ch>
Description: Apply Monte Carlo permutation to compute pointwise variogram envelopes, and check spatial dependence using permutation test adjusted for multiple testing.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2017-11-13 20:44:07 UTC; craigwang
Repository: CRAN
Date/Publication: 2017-11-14 09:21:16 UTC

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New package rpicosat with initial version 1.0.0
Package: rpicosat
Type: Package
Title: R Bindings for the 'PicoSAT' SAT Solver
Authors@R: c( person("Dirk", "Schumacher", email = "mail@dirk-schumacher.net", role = c("aut", "cre")), person("Armin", "Biere", role = c("ctb", "cph"), comment = "Author and copyright holder of included PicoSAT code"))
Version: 1.0.0
Description: Bindings for the 'PicoSAT' solver to solve Boolean satisfiability problems (SAT). The boolean satisfiability problem asks the question if a given boolean formula can be TRUE; i.e. does there exist an assignment of TRUE/FALSE for each variable such that the whole formula is TRUE? The package bundles 'PicoSAT' solver release 965 <http://www.fmv.jku.at/picosat/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1
URL: https://github.com/dirkschumacher/rpicosat
BugReports: https://github.com/dirkschumacher/rpicosat/issues
NeedsCompilation: yes
Depends: R (>= 3.4.0)
Suggests: testthat, covr
Packaged: 2017-11-13 18:11:42 UTC; dirkschumacher
Author: Dirk Schumacher [aut, cre], Armin Biere [ctb, cph] (Author and copyright holder of included PicoSAT code)
Maintainer: Dirk Schumacher <mail@dirk-schumacher.net>
Repository: CRAN
Date/Publication: 2017-11-14 09:26:48 UTC

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Mon, 13 Nov 2017

New package ipumsr with initial version 0.1.0
Package: ipumsr
Title: Read 'IPUMS' Extract Files
Version: 0.1.0
Authors@R: c( person("Greg Freedman Ellis", email = "gfellis@umn.edu", role = c("aut", "cre")), person("Derek Burk", role = "ctb"), person("Joe Grover", role = "ctb"), person("Minnesota Population Center", email = "ipums@umn.edu", role = "cph") )
Contact: ipums@umn.edu
URL: https://www.ipums.org, https://github.com/mnpopcenter/ipumsr
BugReports: https://github.com/mnpopcenter/ipumsr/issues
Description: An easy way to import census, survey and geographic data provided by 'IPUMS' into R plus tools to help use the associated metadata to make analysis easier. 'IPUMS' data describing 1.4 billion individuals drawn from over 750 censuses and surveys is available free of charge from our website <https://ipums.org>.
License: Mozilla Public License 2.0
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 0.7.0), haven, purrr, raster, readr, rlang, stringr, tibble, tidyr, xml2, Rcpp
RoxygenNote: 6.0.1
Suggests: DT, ggplot2, htmltools, knitr, rgdal, rmarkdown, rstudioapi, scales, sf, sp, shiny, testthat, covr
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-11-13 20:44:36 UTC; gfellis
Author: Greg Freedman Ellis [aut, cre], Derek Burk [ctb], Joe Grover [ctb], Minnesota Population Center [cph]
Maintainer: Greg Freedman Ellis <gfellis@umn.edu>
Repository: CRAN
Date/Publication: 2017-11-13 23:27:19 UTC

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New package tmuxr with initial version 0.1.0
Package: tmuxr
Title: Manage 'tmux'
Version: 0.1.0
Authors@R: c( person("Jeroen", "Janssens", email = "jeroen@datascienceworkshops.com", role = c("aut", "cre")), person("Data Science Workshops", role = c("cph", "fnd")) )
Description: Create, control, and record 'tmux' sessions, windows, and panes using a pipeable API.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/datascienceworkshops/tmuxr
BugReports: https://github.com/datascienceworkshops/tmuxr/issues
SystemRequirements: tmux
OS_type: unix
Imports: purrr, stringr, magrittr
Collate: tmuxr.R server.R session.R window.R pane.R prompt.R send.R
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-11-13 09:16:28 UTC; jeroen
Author: Jeroen Janssens [aut, cre], Data Science Workshops [cph, fnd]
Maintainer: Jeroen Janssens <jeroen@datascienceworkshops.com>
Repository: CRAN
Date/Publication: 2017-11-13 19:30:44 UTC

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New package yasp with initial version 0.1.0
Package: yasp
Type: Package
Title: String Functions for Compact and Expressive Code
Version: 0.1.0
Author: Tomasz Kalinowski
Maintainer: Tomasz Kalinowski <tkalinow@asu.edu>
Description: A collection of string functions designed for writing more compact and expressive code. 'yasp' (Yet Another String Package) is simple, fast, dependency-free, and written in pure R. The package provides: a coherent set of abbreviations for paste() from package 'base' with a variety of defaults, such as p() for "paste" and pcc() for "paste and collapse with commas"; wrap(), bracket(), and others for wrapping a string in flanking characters; unwrap() for removing pairs of characters (at any position in a string); and sentence() for cleaning whitespace around punctuation and capitalization appropriate for prose sentences.
License: MIT + file LICENSE
URL: https://github.com/t-kalinowski/yasp
BugReports: https://github.com/t-kalinowski/yasp/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-13 13:45:11 UTC; tomasz
Repository: CRAN
Date/Publication: 2017-11-13 18:35:52 UTC

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New package ToolsForCoDa with initial version 1.0.2
Package: ToolsForCoDa
Type: Package
Title: Multivariate Tools for Compositional Data Analysis
Version: 1.0.2
Date: 2017-11-12
Author: Jan Graffelman <jan.graffelman@upc.edu>
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>
Depends: R (>= 1.8.0), MASS, HardyWeinberg, calibrate
Description: Provides functions for multivariate analysis with compositional data. Includes a function for doing compositional canonical correlation analysis. This analysis requires two data matrices of compositions, which can be adequately transformed and used as entries in a specialized program for canonical correlation analysis, that is able to deal with singular covariance matrices. The methodology is described in Graffelman et al. (2017) <doi:10.1101/144584>.
License: GPL (>= 2)
URL: www.R-project.org, http://www-eio.upc.edu/~jan
NeedsCompilation: no
Packaged: 2017-11-13 13:06:38 UTC; jan
Repository: CRAN
Date/Publication: 2017-11-13 18:17:38 UTC

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New package imbalance with initial version 0.1.0
Package: imbalance
Type: Package
Title: Preprocessing Algorithms for Imbalanced Datasets
Version: 0.1.0
Authors@R: c( person("Ignacio", "Cordón", email = "nacho.cordon.castillo@gmail.com", role = c("aut", "cre")) )
Maintainer: Ignacio Cordón <nacho.cordon.castillo@gmail.com>
Description: Algorithms to treat imbalanced datasets. Imbalanced datasets usually damage the performance of the classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent preprocessing algorithms in the literature.
License: GPL (>= 2) | file LICENSE
Encoding: UTF-8
LazyData: true
BugReports: http://github.com/ncordon/imbalance/issues
URL: http://github.com/ncordon/imbalance
Depends: R (>= 3.4.0)
Imports: bnlearn, KernelKnn, ggplot2, utils, stats, mvtnorm, Rcpp
Suggests: testthat, C50, knitr, rmarkdown, FNN, smotefamily
RoxygenNote: 6.0.1
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2017-11-13 14:59:05 UTC; nuwanda
Author: Ignacio Cordón [aut, cre]
Repository: CRAN
Date/Publication: 2017-11-13 18:19:24 UTC

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New package shinyKGode with initial version 1.0.0
Package: shinyKGode
Type: Package
Title: A Shiny User Interface of Time Warping for Improved Gradient Matching
Version: 1.0.0
Author: Joe Wandy
Maintainer: Joe Wandy <joe.wandy@glasgow.ac.uk>
Description: Interactive shiny application to perform inference of non-linear differential equations via gradient matching. Three (Lotka-Volterra, Fitz hugh Nagumo, and Biopathway) pre-defined models are provided, and users can also load their own models (in the Systems Biology Markup Language format) into the application.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: tools (>= 3.4.1), shiny (>= 1.0.5), shinyjs (>= 0.9.1), ggplot2 (>= 2.2.1), reshape2 (>= 1.4.2), gridExtra (>= 2.3), mvtnorm (>= 1.0.6), KGode (>= 1.0.0), XML (>= 3.98.1.9),
Depends: pracma (>= 2.0.7), pspline (>= 1.0.18)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-13 12:08:09 UTC; joewandy
Repository: CRAN
Date/Publication: 2017-11-13 16:44:18 UTC

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