Tue, 28 Jun 2016

New package POET with initial version 2.0
Package: POET
Type: Package
Title: Principal Orthogonal ComplEment Thresholding (POET) Method
Version: 2.0
Date: 2016-06-26
Author: Jianqing Fan, Yuan Liao, Martina Mincheva
Maintainer: Martina Mincheva <m.z.mincheva@gmail.com>
Description: Estimate large covariance matrices in approximate factor models by thresholding principal orthogonal complements.
License: GPL-2
LazyLoad: yes
Packaged: 2016-06-28 13:15:34 UTC; Stat-xuhan
Repository: CRAN
Date/Publication: 2016-06-29 02:33:28
NeedsCompilation: no
X-CRAN-Comment: Archived on 2014-08-20 as maintainer address <mincheva@princeton.edu> bounced.

More information about POET at CRAN
Permanent link

New package metaplotr with initial version 0.0.2
Package: metaplotr
Version: 0.0.2
Date: 2016-06-25
Title: Creates CrossHairs Plots for Meta-Analyses
Authors@R: c( person("Mehmet", "Gultas", , "mehmetgultas@gmail.com", c("aut", "cre")), person("Michael T.", "Brannick", , "mbrannick@usf.edu", "aut") )
Author: Mehmet Gultas [aut, cre], Michael T. Brannick [aut]
Maintainer: Mehmet Gultas <mehmetgultas@gmail.com>
Description: Creates crosshairs plots to summarize and analyse meta-analysis results. In due time this package will contain code that will create other kind of meta-analysis graphs.
License: GPL-2
LazyData: TRUE
Depends: R (>= 3.3)
RoxygenNote: 5.0.1
Imports: ggplot2, gridExtra
NeedsCompilation: no
Packaged: 2016-06-28 08:50:46 UTC; mg
Repository: CRAN
Date/Publication: 2016-06-29 02:49:09

More information about metaplotr at CRAN
Permanent link

New package gglogo with initial version 0.1.2
Package: gglogo
Title: Geom for Logo Sequence Plots
Version: 0.1.2
Authors@R: c( person("Heike", "Hofmann", email = "hofmann@iastate.edu", role = "aut"), person("Eric", "Hare", email = "erichare@iastate.edu", role = c("aut", "cre")), person("GGobi Foundation", role = "aut"))
License: GPL-3
URL: https://github.com/heike/gglogo
BugReports: https://github.com/heike/gglogo/issues
Depends: R (>= 2.14)
Imports: ggplot2 (>= 2.0.0), grid, jpeg, plyr, dplyr, magrittr, purrr, reshape2
Suggests: RColorBrewer
Description: Visualize sequences in (modified) logo plots. The design choices used by these logo plots allow sequencing data to be more easily analyzed. Because it is integrated into the 'ggplot2' geom framework, these logo plots support native features such as faceting.
Collate: 'logos.r' 'text.r' 'thin.r' 'data.r' 'alphabet.r' 'position.r'
RoxygenNote: 5.0.1
LazyData: true
NeedsCompilation: no
Packaged: 2016-06-28 11:17:36 UTC; erichare
Author: Heike Hofmann [aut], Eric Hare [aut, cre], GGobi Foundation [aut]
Maintainer: Eric Hare <erichare@iastate.edu>
Repository: CRAN
Date/Publication: 2016-06-29 02:44:46

More information about gglogo at CRAN
Permanent link

New package pGMGM with initial version 1.0
Package: pGMGM
Type: Package
Title: Estimating Multiple Gaussian Graphical Models (GGM) in Penalized Gaussian Mixture Models (GMM)
Version: 1.0
Date: 2016-06-22
Author: Chen Gao, Yunzhang Zhu
Maintainer: Chen Gao <gaoxx492@umn.edu>
Description: This is an R and C code implementation of the New-SP and New-JGL method of Gao et al. (2016) <DOI:10.1214/16-EJS1135> to perform model-based clustering and multiple graph estimation.
License: GPL-2
Depends: JGL, mvtnorm, MASS
Packaged: 2016-06-25 21:34:32 UTC; c
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-06-28 23:33:21

More information about pGMGM at CRAN
Permanent link

New package tempR with initial version 0.9.9.7
Package: tempR
Type: Package
Title: Temporal Sensory Data Analysis
Version: 0.9.9.7
Date: 2016-06-28
Author: J. C. Castura [aut, cre]
Maintainer: J. C. Castura <jcastura@compusense.com>
Description: Analysis and visualization of data from temporal sensory methods, including for temporal check-all-that-apply (TCATA) and temporal dominance of sensations (TDS).
Depends: R (>= 3.3.0)
Imports: grDevices, stats, graphics
License: GPL (>= 2)
LazyData: TRUE
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-28 04:11:25 UTC; jcastura
Repository: CRAN
Date/Publication: 2016-06-28 08:30:01

More information about tempR at CRAN
Permanent link

New package rgeospatialquality with initial version 0.3.2
Package: rgeospatialquality
Type: Package
Title: Wrapper for the Geospatial Data Quality REST API
Version: 0.3.2
Date: 2016-06-27
Authors@R: person("Javier", "Otegui", email="javier.otegui@gmail.com", role=c("aut", "cre"))
Description: Provides native wrappers for the functions available via the spatial quality REST API. See <http://bit.ly/bioinformatics_btw057> for more information on the API.
License: MIT + file LICENSE
LazyData: TRUE
Imports: httr (>= 1.0.0), jsonlite (>= 0.9.19), plyr (>= 1.8.3)
RoxygenNote: 5.0.1
Suggests: knitr, roxygen2, rmarkdown, testthat, covr, rgbif (>= 0.9.2), rvertnet, rinat
VignetteBuilder: knitr
URL: https://github.com/ropenscilabs/rgeospatialquality
BugReports: https://github.com/ropenscilabs/rgeospatialquality/issues
NeedsCompilation: no
Packaged: 2016-06-27 20:37:44 UTC; jotegui
Author: Javier Otegui [aut, cre]
Maintainer: Javier Otegui <javier.otegui@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-28 08:28:36

More information about rgeospatialquality at CRAN
Permanent link

New package RcmdrPlugin.BiclustGUI with initial version 1.0.4
Package: RcmdrPlugin.BiclustGUI
Type: Package
Title: 'Rcmdr' Plug-in GUI for Biclustering
Version: 1.0.4
Date: 2016-06-26
Author: De Troyer Ewoud, Otava Martin
Maintainer: De Troyer Ewoud <ewoud.detroyer@uhasselt.be>
Description: A plug-in for R Commander ('Rcmdr'). The package is a Graphical User Interface (GUI) in which several biclustering methods can be executed, followed by diagnostics and plots of the results. Further, the GUI also has the possibility to connect the methods to more general diagnostic packages for biclustering. Biclustering methods from 'biclust', 'fabia', 's4vd', 'iBBiG', 'isa2', 'rqubic' and 'BicARE' are implemented. Additionally, 'superbiclust' and 'BcDiag' are also implemented to be able to further investigate results. The GUI also provides a couple of extra utilities to export, save, search through and plot the results. 'RcmdrPlugin.BiclustGUI' also provides a very specific framework for biclustering in which new methods, diagnostics and plots can be added. Scripts were prepared so that R-package developers can freely design their own dialogs in the GUI which can then be added by the maintainer of 'RcmdrPlugin.BiclustGUI'. These scripts do not required any knowledge of 'tcltk' and 'Rcmdr' and are easy to fill in.
License: GPL-3
Depends: biclust, fabia, iBBiG,superbiclust(>= 1.1),BcDiag(>= 1.0.10), rqubic, BicARE, s4vd
Imports: Rcmdr, tcltk, gplots, grDevices, graphics, methods, utils
VignetteBuilder: knitr
Suggests: knitr
NeedsCompilation: no
Packaged: 2016-06-27 05:25:54 UTC; rforge
Repository: CRAN
Repository/R-Forge/Project: biclustgui
Repository/R-Forge/Revision: 78
Repository/R-Forge/DateTimeStamp: 2016-06-27 05:08:48
Date/Publication: 2016-06-28 07:51:05

More information about RcmdrPlugin.BiclustGUI at CRAN
Permanent link

Mon, 27 Jun 2016

New package pim with initial version 2.0.0.2
Package: pim
Type: Package
Title: Fit Probabilistic Index Models
Version: 2.0.0.2
Date: 2016-06-27
Authors@R: c(person("Joris","Meys", email = "Joris.Meys@UGent.be", role = c('aut', 'cre')),person("Jan","De Neve", email = "Jan.DeNeve@UGent.be", role = 'aut'), person("Nick","Sabbe", role = 'aut'))
Author: Joris Meys [aut, cre], Jan De Neve [aut], Nick Sabbe [aut]
Maintainer: Joris Meys <Joris.Meys@UGent.be>
Description: Fit a probabilistic index model as described in Thas et al <doi:10.1111/j.1467-9868.2011.01020.x>. The interface to the modeling function has changed in this new version. The old version is still available at R-Forge. You can install the old package using install.packages('pimold', repos = 'http://R-Forge.R-project.org').
Depends: R (>= 3.0), utils
Imports: methods, stats4, nleqslv, BB
License: GPL (>= 2)
URL: http://r-forge.r-project.org/projects/pim/
Collate: 'CreateScoreFun.R' 'DysData.R' 'EngelData.R' 'Estimators.R' 'pim.poset-class.R' 'pim.environment-class.R' 'pim-package.R' 'pim.formula-class.R' 'pim-class.R' 'pim.summary-class.R' 'Extract.pim.summary.R' 'FEVData.R' 'Getters.R' 'Getters_pim.R' 'Getters_pim.formula.R' 'InternalFunctions.R' 'InternalObjects.R' 'LR.R' 'MHData.R' 'P.R' 'SUData.R' 'add.poset.R' 'as.data.frame.pim.environment.R' 'as.matrix.pim.summary.R' 'coef.R' 'confint.pim.R' 'create.poset.R' 'formula.R' 'has.intercept.R' 'is.complete.R' 'make.posfun.R' 'model.matrix.pim.R' 'new.pim.R' 'new.pim.env.R' 'new.pim.formula.R' 'new.pim.poset.R' 'nobs.R' 'penv.R' 'pim.R' 'pim.fit.R' 'pimdata.R' 'poset.R' 'print.R' 'response.R' 'sandwich.estimator.R' 'summary.R' 'vcov.R' 'vcov.estimators.R' 'vcov.internal.R' 'zzz.R'
Suggests: testthat, MASS
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-27 13:02:40 UTC; Joris
Repository: CRAN
Date/Publication: 2016-06-27 17:22:49

More information about pim at CRAN
Permanent link

New package optiSel with initial version 0.1
Package: optiSel
Type: Package
Title: Optimum Contribution Selection and Pedigree Analysis
Version: 0.1
Date: 2016-06-24
Author: Robin Wellmann
Maintainer: Robin Wellmann <r.wellmann@uni-hohenheim.de>
Depends: R (>= 3.2.4)
Imports: GENLIB, Matrix, Rcsdp, alabama, cccp, kinship2, nadiv, nloptr, pedigree, pspline, stringr, MASS, methods, stats
Description: Computation of optimum contributions of selection candidates in animal breeding, genetic contributions, the native effective size, native genome equivalents, the diversity of native alleles, and pedigree completeness. Moreover, functions are provided for preparing and plotting pedigrees.
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-06-27 11:51:59 UTC; Robin
Repository: CRAN
Date/Publication: 2016-06-27 17:22:52

More information about optiSel at CRAN
Permanent link

New package SeqMADE with initial version 1.0
Package: SeqMADE
Type: Package
Title: Network Module-Based Model in the Differential Expression Analysis for RNA-Seq
Version: 1.0
Date: 2016-06-27
Author: Mingli Lei, Jia Xu, Li-Ching Huang, Lily Wang, Jing Li
Maintainer: Mingli Lei<leimingli2013@sjtu.edu.cn>
Description: A network module-based generalized linear model for differential expression analysis with the count-based sequence data from RNA-Seq.
License: GPL (>= 2)
Depends: R (>= 2.1.0),MASS
Repository: CRAN
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-06-27 03:06:53 UTC; Mingli Lei
Date/Publication: 2016-06-27 06:59:54

More information about SeqMADE at CRAN
Permanent link

New package IntegrateBs with initial version 0.1.0
Package: IntegrateBs
Title: Integration for B-Spline
Version: 0.1.0
Authors@R: person("Yue", "Bai", email = "bai42@wisc.edu", role = c("aut", "cre"))
Maintainer: Yue Bai <bai42@wisc.edu>
Description: Integrated B-spline function.
Depends: R (>= 3.0.2)
License: GPL-2
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-26 14:03:37 UTC; dudupiggy
Author: Yue Bai [aut, cre]
Repository: CRAN
Date/Publication: 2016-06-27 06:59:52

More information about IntegrateBs at CRAN
Permanent link

New package fuzzr with initial version 0.1.0
Package: fuzzr
Type: Package
Title: Fuzz-Test R Functions
Version: 0.1.0
Authors@R: person("Matthew", "Lincoln", email = "matthew.d.lincoln@gmail.com", role = c("aut", "cre"))
Description: Test function arguments with a wide array of inputs, and produce reports summarizing messages, warnings, errors, and returned values.
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 5.0.1
Imports: assertthat, progress, purrr, tidyr
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/mdlincoln/fuzzr
BugReports: https://github.com/mdlincoln/fuzzr/issues
NeedsCompilation: no
Packaged: 2016-06-26 17:23:31 UTC; admin
Author: Matthew Lincoln [aut, cre]
Maintainer: Matthew Lincoln <matthew.d.lincoln@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-27 07:00:02

More information about fuzzr at CRAN
Permanent link

New package dtplyr with initial version 0.0.1
Package: dtplyr
Title: Data Table Back-End for 'dplyr'
Version: 0.0.1
Authors@R: c( person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")), person("RStudio", role = "cph") )
Description: This implements the data table back-end for 'dplyr' so that you can seamlessly use data table and 'dplyr' together.
License: GPL (>= 2)
Imports: dplyr (>= 0.5.0), data.table, lazyeval
Suggests: Lahman, nycflights13, testthat, covr
LazyData: true
RoxygenNote: 5.0.1
URL: https://github.com/hadley/dtplyr
BugReports: https://github.com/hadley/dtplyr/issues
NeedsCompilation: no
Packaged: 2016-06-26 15:50:06 UTC; hadley
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>
Repository: CRAN
Date/Publication: 2016-06-27 06:59:59

More information about dtplyr at CRAN
Permanent link

Sun, 26 Jun 2016

New package future.BatchJobs with initial version 0.12.0
Package: future.BatchJobs
Version: 0.12.0
Depends: R (>= 3.2.0), future (>= 1.0.0)
Imports: BatchJobs (>= 1.6), R.utils
Suggests: listenv, markdown, R.rsp
VignetteBuilder: R.rsp
Title: A Future for BatchJobs
Authors@R: c(person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"), email = "henrikb@braju.com"))
Description: Simple parallel and distributed processing using futures that utilizes the 'BatchJobs' framework, e.g. 'fit %<-% { glm.fit(x, y) }'. This package implements the Future API of the 'future' package.
License: LGPL (>= 2.1)
LazyLoad: TRUE
URL: https://github.com/HenrikBengtsson/future.BatchJobs
BugReports: https://github.com/HenrikBengtsson/future.BatchJobs/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-26 00:20:15 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2016-06-26 12:39:35

More information about future.BatchJobs at CRAN
Permanent link

New package tableHTML with initial version 0.2.10
Package: tableHTML
Type: Package
Title: A Tool to Create HTML Tables
Version: 0.2.10
Authors@R: person("Theo", "Boutaris", email = "teoboot2007@hotmail.com", role = c("aut", "cre", "cph"))
URL: https://lyzander.github.io/tableHTML
BugReports: https://github.com/LyzandeR/tableHTML/issues
Depends: R (>= 3.2.0)
Imports: htmltools, magrittr
Description: A tool to easily create and style HTML tables, which are compatible with shiny.
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-06-25 18:22:36 UTC; teoboot
Author: Theo Boutaris [aut, cre, cph]
Maintainer: Theo Boutaris <teoboot2007@hotmail.com>
Repository: CRAN
Date/Publication: 2016-06-26 09:30:36

More information about tableHTML at CRAN
Permanent link

New package InspectChangepoint with initial version 1.0
Package: InspectChangepoint
Type: Package
Title: High-Dimensional Changepoint Estimation via Sparse Projection
Version: 1.0
Date: 2016-06-24
Author: Tengyao Wang
Maintainer: Tengyao Wang <t.wang@statslab.cam.ac.uk>
Imports: stats, graphics, MASS
Description: Provides a data-driven projection-based method for estimating changepoints in high-dimensional time series. Multiple changepoints are estimated using a (wild) binary segmentation scheme.
License: GPL-3
NeedsCompilation: no
Packaged: 2016-06-25 17:53:30 UTC; tengyao
Repository: CRAN
Date/Publication: 2016-06-26 09:17:50

More information about InspectChangepoint at CRAN
Permanent link

Sat, 25 Jun 2016

New package doFuture with initial version 0.2.0
Package: doFuture
Version: 0.2.0
Title: Foreach Parallel Adaptor using the Future API of the 'future' Package
Depends: future (>= 1.0.0), foreach (>= 1.4.3), iterators (>= 1.0.8)
Suggests: doRNG (>= 1.6), markdown, R.rsp
VignetteBuilder: R.rsp
Authors@R: c(person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"), email = "henrikb@braju.com"))
Description: Provides a '%dopar%' adaptor such that any type of futures can be used as backends for the 'foreach' framework.
License: LGPL (>= 2.1)
LazyLoad: TRUE
URL: https://github.com/HenrikBengtsson/doFuture
BugReports: https://github.com/HenrikBengtsson/doFuture/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-25 17:25:07 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2016-06-25 19:53:58

More information about doFuture at CRAN
Permanent link

New package SPEDInstabR with initial version 1.0
Package: SPEDInstabR
Version: 1.0
Date: 2016-06-23
Title: Estimation of the Relative Importance of Factors Affecting Species Distribution Based on Stability Concept
Author: Cstor Guisande Gonzlez
Maintainer: Cstor Guisande Gonzlez <castor@uvigo.es>
Description: From output files obtained from the software ModestR, the relative contribution of factors to explain species distribution is depicted using several plots. A global geographic raster file for each environmental variable may be also obtained with the mean relative contribution, considering all species present in each raster cell, of the factor to explain species distribution. Finally, for each variable it is also possible to compare the frequencies of any variable obtained in the cells where the species is present with the frequencies of the same variable in the cells of the extent.
License: GPL (>= 2)
Encoding: latin1
Depends: R (>= 3.1.1), beanplot, raster, plotrix, TeachingDemos
Repository: CRAN
Packaged: 2016-06-23 20:23:34 UTC; castor
NeedsCompilation: no
Date/Publication: 2016-06-25 19:07:30

More information about SPEDInstabR at CRAN
Permanent link

New package MixSIAR with initial version 3.1.6
Package: MixSIAR
Title: Bayesian Mixing Models in R
Version: 3.1.6
Authors@R: c( person("Brian", "Stock", email = "b1stock@ucsd.edu", role = c("cre","aut")), person("Brice", "Semmens", email = "semmens@ucsd.edu", role = "aut"), person("Eric", "Ward", role = "ctb"), person("Andrew", "Parnell", role = "ctb"), person("Andrew", "Jackson", role = "ctb"), person("Donald", "Phillips", role = "ctb"), person("Jon", "Moore", role = "ctb"), person("Stuart", "Bearhop", role = "ctb"), person("Richard", "Inger", role = "ctb"))
Description: Creates and runs Bayesian mixing models to analyze biotracer data (i.e. stable isotopes, fatty acids), which estimate the proportions of source (prey) contributions to a mixture (consumer). 'MixSIAR' is not one model, but a framework that allows a user to create a mixing model based on their data structure and research questions, via options for fixed/ random effects, source data types, priors, and error terms. 'MixSIAR' incorporates several years of advances since 'MixSIR' and 'SIAR', and includes both GUI (graphical user interface) and script versions.
Depends: R (>= 3.2.3)
Imports: ggplot2 (>= 1.0.1), rjags (>= 4-4), R2jags (>= 0.5-7), MASS (>= 7.3), RColorBrewer (>= 1.1), reshape (>= 0.8), reshape2 (>= 1.4.1), lattice (>= 0.20), compositions (>= 1.40), ggmcmc (>= 0.7.2), coda (>= 0.18-1)
Suggests: gWidgets (>= 0.0-54), gWidgetsRGtk2 (>= 0.0-83), splancs (>= 2.01-38), knitr, rmarkdown, testthat
SystemRequirements: JAGS (>= 4.1) for the script version, both JAGS and GTK+ for the GUI version. For install instructions, see manual at <https://github.com/brianstock/MixSIAR/blob/master/inst/mixsiar_manual_3.1_small.pdf>
URL: https://github.com/brianstock/MixSIAR
BugReports: https://github.com/brianstock/MixSIAR/issues
License: GPL-3
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-25 00:38:37 UTC; brian
Author: Brian Stock [cre, aut], Brice Semmens [aut], Eric Ward [ctb], Andrew Parnell [ctb], Andrew Jackson [ctb], Donald Phillips [ctb], Jon Moore [ctb], Stuart Bearhop [ctb], Richard Inger [ctb]
Maintainer: Brian Stock <b1stock@ucsd.edu>
Repository: CRAN
Date/Publication: 2016-06-25 19:07:27

More information about MixSIAR at CRAN
Permanent link

New package BACCT with initial version 1.0
Package: BACCT
Type: Package
Title: Bayesian Augmented Control for Clinical Trials
Version: 1.0
Date: 2016-06-24
Authors@R: c( person("Hongtao", "Zhang", role = c("aut", "cre"), email = "hongtao.zhang@abbvie.com"), person("Qi", "Tang", role = "aut", email = "qi.tang@abbvie.com") )
Description: Implements the Bayesian Augmented Control (BAC, a.k.a. Bayesian historical data borrowing) method under clinical trial setting by calling 'Just Another Gibbs Sampler' ('JAGS') software. In addition, the 'BACCT' package evaluates user-specified decision rules by computing the type-I error/power, or probability of correct go/no-go decision at interim look. The evaluation can be presented numerically or graphically. Users need to have 'JAGS' 4.0.0 or newer installed due to a compatibility issue with 'rjags' package. Currently, the package implements the BAC method for binary outcome only. Support for continuous and survival endpoints will be added in future releases. We would like to thank AbbVie's Statistical Innovation group and Clinical Statistics group for their support in developing the 'BACCT' package.
Depends: R (>= 2.10)
Imports: rjags, ggplot2, reshape2
License: GPL (>= 3)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-24 19:05:19 UTC; zhanghx5
Author: Hongtao Zhang [aut, cre], Qi Tang [aut]
Maintainer: Hongtao Zhang <hongtao.zhang@abbvie.com>
Repository: CRAN
Date/Publication: 2016-06-25 19:07:22

More information about BACCT at CRAN
Permanent link

Fri, 24 Jun 2016

New package dlstats with initial version 0.0.5
Package: dlstats
Title: Download Stats of R Packages
Version: 0.0.5
Authors@R: c(person(given = "Guangchuang", family = "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre")) )
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Description: Monthly download stats of 'CRAN' and 'Bioconductor' packages. Download stats of 'CRAN' packages is from the 'RStudio' 'CRAN mirror', see <http://cranlogs.r-pkg.org>. 'Bioconductor' package download stats is at <https://bioconductor.org/packages/stats/>.
Depends: R (>= 3.3.0)
Imports: jsonlite, magrittr, utils
Suggests: ggplot2, knitr, tidyr
License: Artistic-2.0
VignetteBuilder: knitr
ByteCompile: true
Encoding: UTF-8
LazyData: true
URL: https://github.com/GuangchuangYu/dlstats
BugReports: https://github.com/GuangchuangYu/dlstats/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-23 01:35:10 UTC; guangchuangyu
Author: Guangchuang Yu [aut, cre]
Repository: CRAN
Date/Publication: 2016-06-24 20:17:40

More information about dlstats at CRAN
Permanent link

New package BTR with initial version 1.2.3
Package: BTR
Type: Package
Title: Training and Analysing Asynchronous Boolean Models
Version: 1.2.3
Date: 2016-6-23
Author: Chee Yee Lim
Maintainer: Chee Yee Lim <cyl49@cam.ac.uk>
Description: Tools for inferring asynchronous Boolean models from single-cell expression data.
Depends: R (>= 3.0.3), methods
Imports: parallel, Rcpp (>= 0.11.4), foreach (>= 1.4.1), doParallel (>= 1.0.8), poweRlaw (>= 0.30.0), diptest (>= 0.75-7), igraph (>= 1.0.1), infotheo (>= 1.2.0), entropy (>= 1.2.1)
LinkingTo: Rcpp
License: GPL-3
LazyData: true
Suggests: bnlearn (>= 3.8.1), knitr, rmarkdown
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-06-24 15:44:44 UTC; cylim
Repository: CRAN
Date/Publication: 2016-06-24 19:13:51

More information about BTR at CRAN
Permanent link

New package NoiseFiltersR with initial version 0.1.0
Package: NoiseFiltersR
Type: Package
Title: Label Noise Filters for Data Preprocessing in Classification
Version: 0.1.0
Authors@R: c( person("Pablo", "Morales", email = "pablomoralvarez@gmail.com", role = c("aut")), person("Julian", "Luengo", email = "julianlm@decsai.ugr.es", role = c("aut","cre")), person("Luis P.F.", "Garcia", role = c("aut")), person("Ana C.", "Lorena", role = c("aut")), person("Andre C.P.L.F.", "de Carvalho", role = c("aut")), person("Francisco", "Herrera", role = c("aut")))
Description: An extensive implementation of state-of-the-art and classical algorithms to preprocess label noise in classification problems.
License: GPL-3
LazyData: TRUE
Imports: RWeka, kknn, nnet, caret, e1071, rpart, randomForest, MASS, rJava, stats, utils
Depends: R (>= 3.3.0)
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-06-24 10:17:13 UTC; pablo
Author: Pablo Morales [aut], Julian Luengo [aut, cre], Luis P.F. Garcia [aut], Ana C. Lorena [aut], Andre C.P.L.F. de Carvalho [aut], Francisco Herrera [aut]
Maintainer: Julian Luengo <julianlm@decsai.ugr.es>
Repository: CRAN
Date/Publication: 2016-06-24 12:34:50

More information about NoiseFiltersR at CRAN
Permanent link

New package conclust with initial version 1.0
Package: conclust
Type: Package
Title: Pairwise Constraints Clustering
Version: 1.0
Date: 2016-06-22
Author: Tran Khanh Hiep, Nguyen Minh Duc
Maintainer: Tran Khanh Hiep <hieptkse03059@fpt.edu.vn>
Description: There are 3 main functions in this package: ckmeans(), lcvqe() and mpckm(). They take an unlabeled dataset and two lists of must-link and cannot-link constraints as input and produce a clustering as output.
License: GPL-3
NeedsCompilation: no
Packaged: 2016-06-24 10:06:02 UTC; Hiep
Repository: CRAN
Date/Publication: 2016-06-24 12:20:11

More information about conclust at CRAN
Permanent link

New package VetResearchLMM with initial version 0.1.0
Package: VetResearchLMM
Type: Package
Title: Linear Mixed Models - An Introduction with Applications in Veterinary Research
Version: 0.1.0
Authors@R: c( person(c("Muhammad", "Yaseen"), email = "myaseen208@gmail.com", role = c("aut", "cre")) , person(c("Luc", "Duchateau"), email = "Luc.Duchateau@ugent.be", role = "ctb") , person(c("Paul", "Janssen"), email = "paul.janssen@uhasselt.be", role = "ctb") , person(c("John", "Rowlands"), email = " ", role = "ctb") )
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: R Codes and Datasets for Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998). Linear Mixed Models. An Introduction with applications in Veterinary Research. International Livestock Research Institute.
Depends: R (>= 3.1)
Imports: ggplot2, lme4, nlme, lmerTest, multcomp
License: GPL-2
URL:
LazyData: TRUE
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-06-23 03:40:45 UTC; yaseen
Author: Muhammad Yaseen [aut, cre], Luc Duchateau [ctb], Paul Janssen [ctb], John Rowlands [ctb]
Repository: CRAN
Date/Publication: 2016-06-24 09:53:26

More information about VetResearchLMM at CRAN
Permanent link

New package synthACS with initial version 0.4.4
Package: synthACS
Title: Synthetic Microdata and Spatial MicroSimulation Modeling for ACS Data
Version: 0.4.4
Authors@R: person("Alex", "Whitworth",,email = "whitworth.alex@gmail.com", c("aut", "cre"))
Description: Firstly provides a wrapper to library(acs) to access numerous American Community Survey (ACS) base tables which may be of interest to many researchers. Secondly, it builds synthetic micro-datasets of ACS data at any specified geographic level with 10 default individual attributes. Thirdly, the package provides functionality for users to add additional ACS & non-ACS data attributes to micro-datasets based on macro population characteristics. And finally, the package also conducts spatial microsimulation modeling (SMSM) via simulated annealing. SMSM is conducted in parallel by default.
Depends: R (>= 3.2.3), acs (>= 1.2), data.table (>= 1.9.6)
Imports: Rcpp
License: MIT + file LICENSE
LazyData: true
Suggests: testthat, tigris (>= 0.3), sp (>= 1.2), leaflet (>= 1.0), shiny (>= 0.13), rgdal (>= 1.1)
RoxygenNote: 5.0.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2016-06-23 17:55:20 UTC; awhitworth
Author: Alex Whitworth [aut, cre]
Maintainer: Alex Whitworth <whitworth.alex@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-24 09:53:55

More information about synthACS at CRAN
Permanent link

New package invgamma with initial version 0.0
Package: invgamma
Type: Package
Title: The Inverse Gamma Distribution
Version: 0.0
URL: https://github.com/dkahle/invgamma
BugReports: https://github.com/dkahle/invgamma/issues
Authors@R: c( person("David", "Kahle", email = "david.kahle@gmail.com", role = c("aut", "cre", "cph")), person("James", "Stamey", email = "james_stamey@baylor.edu", role = c("aut", "cph")) )
Description: Standard distribution functions for the inverse gamma distribution, wrapping those for the gamma distribution that are already provided in the stats package.
License: GPL-2
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-23 20:29:09 UTC; david_kahle
Author: David Kahle [aut, cre, cph], James Stamey [aut, cph]
Maintainer: David Kahle <david.kahle@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-24 09:53:42

More information about invgamma at CRAN
Permanent link

New package convey with initial version 0.1.0
Package: convey
Title: Income Concentration Analysis with Complex Survey Samples
Version: 0.1.0
Authors@R: c(person("Djalma", "Pessoa", email = "pessoad@gmail.com", role = c("aut","cre")), person("Anthony", "Damico", email= "ajdamico@gmail.com", role= "aut"), person("Guilherme", "Jacob", email= "guilhermejacob91@gmail.com", role= "aut"))
URL: https://github.com/djalmapessoa/convey
BugReports: https://github.com/djalmapessoa/convey/issues
Description: Variance estimation on indicators of income concentration and poverty using linearized or replication-based survey designs. Wrapper around the survey package.
Depends: R (>= 3.2.1)
Imports: survey, methods
License: GPL-3
LazyData: true
Suggests: testthat, knitr, rmarkdown, IC2, vardpoor, DBI, MonetDBLite, RODBC
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-23 19:06:24 UTC; owner
Author: Djalma Pessoa [aut, cre], Anthony Damico [aut], Guilherme Jacob [aut]
Maintainer: Djalma Pessoa <pessoad@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-24 09:53:38

More information about convey at CRAN
Permanent link

Thu, 23 Jun 2016

New package shinyDND with initial version 0.1.0
Package: shinyDND
Type: Package
Title: Shiny Drag-n-Drop
Version: 0.1.0
Date: 2016-06-23
Authors@R: c(person("Aaron", "Hoffer", email="ahoffer42@gmail.com", role=c("aut","cre")))
Maintainer: Aaron Hoffer <ahoffer42@gmail.com>
Description: Add functionality to create drag and drop div elements in shiny.
DisplayMode: Showcase
Imports: shiny (>= 0.11), htmltools
License: GPL-3
URL: https://github.com/ayayron/shinydnd
BugReports: https://github.com/ayayron/shinydnd/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-23 16:37:23 UTC; ahoffer
Author: Aaron Hoffer [aut, cre]
Repository: CRAN
Date/Publication: 2016-06-23 19:40:32

More information about shinyDND at CRAN
Permanent link

New package mvPot with initial version 0.1.0
Package: mvPot
Type: Package
Title: Multivariate Peaks-over-Threshold Modelling for Spatial Extreme Events
Version: 0.1.0
Date: 2016-06-23
Authors@R: person("Raphael", "de Fondeville", email = "raphael.de-fondeville@epfl.ch", role = c("aut", "cre"))
Description: Tools for high-dimensional peaks-over-threshold inference and simulation of spatial processes such as the Brown--Resnick model.
License: GPL-2
Imports: MASS, evd, numbers, gmp
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-06-23 09:06:54 UTC; dedeloye
Author: Raphael de Fondeville [aut, cre]
Maintainer: Raphael de Fondeville <raphael.de-fondeville@epfl.ch>
Repository: CRAN
Date/Publication: 2016-06-23 12:28:40

More information about mvPot at CRAN
Permanent link

New package Smisc with initial version 0.3.6
Package: Smisc
Title: Sego Miscellaneous
Version: 0.3.6
Date: 2016-06-22
Authors@R: c(person("Landon", "Sego", role = c("aut", "cre"), email = "Landon.Sego@pnnl.gov"))
URL: http://pnnl.github.io/Smisc
Description: A collection of functions for statistical computing and data manipulation in R. Includes routines for data ingestion, operating on dataframes and matrices, conversion to and from lists, converting factors, filename manipulation, programming utilities, parallelization, plotting, statistical and mathematical operations, and time series.
NeedsCompilation: yes
Imports: parallel, utils, plyr, doParallel, methods
Suggests: testthat, foreach
License: BSD_3_clause + file LICENSE
RoxygenNote: 5.0.1
Packaged: 2016-06-23 04:21:47 UTC; D3P423
Author: Landon Sego [aut, cre]
Maintainer: Landon Sego <Landon.Sego@pnnl.gov>
Repository: CRAN
Date/Publication: 2016-06-23 09:05:09

More information about Smisc at CRAN
Permanent link

New package sbtools with initial version 1.0.2
Package: sbtools
Title: USGS ScienceBase Tools
Maintainer: Luke Winslow <lwinslow@usgs.gov>
Version: 1.0.2
Authors@R: c(person("Luke", "Winslow", role = c("aut","cre"), email = "lwinslow@usgs.gov"), person("Scott", "Chamberlain", role = c("aut"), email = "scott@ropensci.org"), person("Alison", "Appling", role = c("aut"), email = "aappling@usgs.gov"), person("Jordan", "Read", role = c("aut"), email = "jread@usgs.gov"))
Description: Tools for interacting with U.S. Geological Survey ScienceBase <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.
Imports: jsonlite, httr (>= 1.0.0), stringr, methods
Suggests: testthat, xml2, rgdal, sp
License: CC0
URL: https://github.com/USGS-R/sbtools
BugReports: https://github.com/USGS-R/sbtools/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-22 23:46:04 UTC; lwinslow
Author: Luke Winslow [aut, cre], Scott Chamberlain [aut], Alison Appling [aut], Jordan Read [aut]
Repository: CRAN
Date/Publication: 2016-06-23 09:05:18

More information about sbtools at CRAN
Permanent link

Wed, 22 Jun 2016

New package spbabel with initial version 0.3.2
Package: spbabel
Type: Package
Title: Convert Spatial Data Using Tidy Tables
Version: 0.3.2
Authors@R: c(person("Michael D.","Sumner", role = c("aut", "cre"), email = "mdsumner@gmail.com"))
Description: Functions to convert from `Spatial` classes to long table form, and from long table form to `Spatial`.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.2.3)
Imports: dplyr, ggplot2, methods, sp
RoxygenNote: 5.0.1
Suggests: testthat, maptools, raster, rmarkdown, scales
NeedsCompilation: no
Packaged: 2016-06-22 17:11:08 UTC; mdsumner
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-23 01:38:23

More information about spbabel at CRAN
Permanent link

New package ritis with initial version 0.5.0
Package: ritis
Title: Integrated Taxonomic Information System Client
Description: An interface to the Integrated Taxonomic Information System ('ITIS') (<http://www.itis.gov>). Includes functions to work with the 'ITIS' REST 'API' methods (<http://www.itis.gov/ws_description.html>), as well as the 'Solr' web service (<http://www.itis.gov/solr_documentation.html>).
Version: 0.5.0
License: MIT + file LICENSE
Date: 2016-06-22
URL: https://github.com/ropensci/ritis
BugReports: https://github.com/ropensci/ritis/issues
Authors@R: c(person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"))
VignetteBuilder: knitr
Imports: solrium (>= 0.3.0), httr (>= 1.2.0), jsonlite (>= 0.9.22), data.table (>= 1.9.6), tibble (>= 1.0)
Suggests: testthat, knitr, covr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-22 22:01:11 UTC; sacmac
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-23 01:24:56

More information about ritis at CRAN
Permanent link

New package HDoutliers with initial version 0.2
Package: HDoutliers
Version: 0.2
Date: 2016-06-22
Title: Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers
Authors@R: c(person("Leland", "Wilkinson", role = c("aut"), email = "leland.wilkinson@gmail.com"), person("Chris", "Fraley", role = c("cre"), email = "cfraley@tableau.com"))
Author: Leland Wilkinson [aut], Chris Fraley [cre]
Maintainer: Chris Fraley <cfraley@tableau.com>
Depends: R (>= 3.1.0), FNN, FactoMineR
Description: An implementation of an algorithm for outlier detection that can handle a) data with a mixed categorical and continuous variables, b) many columns of data, c) many rows of data, d) outliers that mask other outliers, and e) both unidimensional and multidimensional datasets. Unlike ad hoc methods found in many machine learning papers, HDoutliers is based on a distributional model that uses probabilities to determine outliers.
License: GPL (>= 2)
URL: https://www.r-project.org
NeedsCompilation: no
Packaged: 2016-06-22 22:46:06 UTC; cfraley
Repository: CRAN
Date/Publication: 2016-06-23 01:24:55

More information about HDoutliers at CRAN
Permanent link

New package APtools with initial version 2.0
Package: APtools
Type: Package
Title: Average Positive Predictive Values (AP) for Binary Outcomes and Censored Event Times
Version: 2.0
Date: 2016-06-22
Depends: survival, graphics, stats, utils
Author: Hengrui Cai <hengruicai@gmail.com>, Yan Yuan <yyuan@ualberta.ca>, Qian Michelle Zhou <qz70@msstate.edu>, Bingying Li<dorisli1120@gmail.com>
Maintainer: Hengrui Cai <hengruicai@gmail.com>
Description: We provide tools to estimate two prediction performance metrics, the average positive predictive values (AP) as well as the well-known AUC (the area under the receiver operator characteristic curve) for risk scores or marker. The outcome of interest is either binary or censored event time. Note that for censored event time, our functions estimate the AP and the AUC are time-dependent for pre-specified time interval(s). A function that compares the APs of two risk scores/markers is also included. Optional outputs include positive predictive values and true positive fractions at the specified marker cut-off values, and a plot of the time-dependent AP versus time (available for event time data).
License: LGPL-3
Collate: 'APBinary.R' 'APtools.R' 'CompareAP.R' 'sum.I.R' 'APSurv.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-22 16:07:00 UTC; hc
Repository: CRAN
Date/Publication: 2016-06-23 01:29:04

More information about APtools at CRAN
Permanent link

New package tilting with initial version 1.1
Package: tilting
Type: Package
Title: Variable Selection via Tilted Correlation Screening Algorithm
Version: 1.1
Date: 2016-06-20
Author: Haeran Cho
Maintainer: Haeran Cho <mahrc@bristol.ac.uk>
Description: Implements an algorithm for variable selection in high-dimensional linear regression using the "tilted correlation", a new way of measuring the contribution of each variable to the response which takes into account high correlations among the variables in a data-driven way.
Depends: mvtnorm
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2016-06-22 11:16:54 UTC; mahrc
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-06-23 00:37:15

More information about tilting at CRAN
Permanent link

New package ROI.plugin.cplex with initial version 0.2-1
Package: ROI.plugin.cplex
Version: 0.2-1
Date: 2016-06-17
Title: ROI Plug-in CPLEX
Authors@R: c(person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-Project.org"))
Description: Enhances the R Optimization Infrastructure (ROI) package by registering the CPLEX commercial solver. It allows for solving mixed integer quadratically constrained programming (MIQPQC) problems as well as all variants/combinations of LP, QP, QCP, IP.
Imports: methods, ROI (>= 0.2-1), Rcplex (>= 0.3-3), slam
License: GPL-3
URL: http://R-Forge.R-project.org/projects/roi
NeedsCompilation: no
Packaged: 2016-06-22 08:47:27 UTC; theussl
Author: Stefan Theussl [aut, cre]
Maintainer: Stefan Theussl <Stefan.Theussl@R-Project.org>
Repository: CRAN
Date/Publication: 2016-06-22 11:23:42

More information about ROI.plugin.cplex at CRAN
Permanent link

New package coreSim with initial version 0.2
Package: coreSim
Type: Package
Title: Core Functionality for Simulating Quantities of Interest from Generalised Linear Models
Description: Core functions for simulating quantities of interest from generalised linear models (GLM). This package will form the backbone of a series of other packages that improve the interpretation of GLM estimates.
Version: 0.2
Date: 2016-06-22
Authors@R: c( person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com", role = c("aut", "cre")) )
BugReports: https://github.com/christophergandrud/coreSim/issues
License: GPL (>= 3)
LazyData: TRUE
RoxygenNote: 5.0.1
Imports: dplyr, MASS
Suggests: car, survival, testthat
NeedsCompilation: no
Packaged: 2016-06-22 09:01:57 UTC; christophergandrud
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-22 11:15:55

More information about coreSim at CRAN
Permanent link

New package polmineR with initial version 0.6.0
Package: polmineR
Type: Package
Title: Toolset for Corpus Analysis
Version: 0.6.0
Date: 2016-06-22
Author: Andreas Blaette
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>
Imports: rcqp, methods, R6, data.table, slam, Matrix, tm, parallel, foreach, DT
Suggests: polmineR.sampleCorpus, doParallel, markdown, htmltools, xlsx, sendmailR, koRpus, chron, knitr, bigmemory, bigtabulate, shiny, miniUI, rJava
Additional_repositories: https://polmine.github.io/drat/
VignetteBuilder: knitr
LazyData: yes
Description: Tools for corpus analysis using the CWB as an efficient backend. The package offers basic functionality to flexibly create subcorpora and to carry out and basic statistical operations. Beyond that, it is intended to serve as an interface to packages implementing advanced statistical procedures.
BugReports: https://github.com/PolMine/polmineR/issues
License: GPL-3
URL: https://www.github.com/PolMine/polmineR
Collate: 'CQI.R' 'CQI.cqpserver.R' 'CQI.perl.R' 'CQI.rcqp.R' 'TermDocumentMatrix_methods.R' 'adjustEncoding_method.R' 'generics.R' 'textstat_class.R' 'bundle_class.R' 'polmineR_package.R' 'partition_class.R' 'partitionBundle_class.R' 'as.DocumentTermMatrix_method.R' 'as.markdown_method.R' 'comp_class.R' 'context_class.R' 'contextBundle_class.R' 'cooccurrences_class.R' 'as.sparseMatrix_method.R' 'as.speeches_method.R' 'blapply_method.R' 'kwic_class.R' 'browse_method.R' 'chisquare_method.R' 'ngrams_method.R' 'compare_method.R' 'contextBundle_methods.R' 'context_method.R' 'cooccurrence_method.R' 'cooccurrencesBundle_methods.R' 'cooccurrencesReshaped_methods.R' 'cooccurrences_method.R' 'cooccurrences_methods.R' 'corpus_method.R' 'dispersion_class.R' 'count_method.R' 'tempcorpus.R' 'cpos_method.R' 'hits_class.R' 'dispersion_method.R' 'dispersion_methods.R' 'dotplot_method.R' 'encoding_method.R' 'enrich_method.R' 'freq_method.R' 'frequencies_method.R' 'getEncoding_method.R' 'getTermFrequencies_method.R' 'getTerms_method.R' 'getTokenStream_method.R' 'highlight_method.R' 'html_method.R' 'html_methods.R' 'kwic_method.R' 'kwic_methods.R' 'll_method.R' 'mail_method.R' 'means_method.R' 'meta_method.R' 'noise_method.R' 'pAttributes_method.R' 'partitionBundle_method.R' 'partitionBundle_methods.R' 'sAttributes2cpos_method.R' 'partition_method.R' 'partition_methods.R' 'plot_method.R' 'pmi_method.R' 'read_method.R' 'registry.R' 'rustyard.R' 'sAttributes_method.R' 'scatterplot_method.R' 'size_method.R' 'tTest.R' 'terms_method.R' 'trim_method.R' 'use_method.R' 'utils.R' 'view_method.R' 'weigh_method.R' 'zzz.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-22 07:28:00 UTC; blaette
Repository: CRAN
Date/Publication: 2016-06-22 10:32:51

More information about polmineR at CRAN
Permanent link

New package microplot with initial version 1.0-14
Package: microplot
Type: Package
Title: Use R Graphics Files as Microplots (Sparklines) in Tables in LaTeX or HTML Files, and Output Data.frames to Org-Mode
Version: 1.0-14
Date: 2016-06-21
Author: Richard M. Heiberger, with contributions from Karen Byron and Nooreen Dabbish.
Maintainer: Richard M. Heiberger <rmh@temple.edu>
Description: Prepare lists of R graphics files to be used as microplots (sparklines) in tables in either LaTeX or HTML files. For LaTeX use the Hmisc::latex() function or xtable::xtable() with Sweave, knitr, rmarkdown, or Emacs org-mode to construct latex tabular environments which include the graphs. For HTML files use either Emacs org-mode or the htmlTable::htmlTable() function to construct an HTML file containing tables which include the graphs. Examples are shown with lattice graphics, base graphics, and ggplot2 graphics. Examples for LaTeX include Sweave (both LaTeX-style and Noweb-style), knitr, emacs org-mode, and rmarkdown input files and their pdf output files. Examples for HTML include org-mode and Rmd input files and their webarchive HTML output files. In addition, the as.orgtable function can display a data.frame in an org-mode document.
Imports: Hmisc
Suggests: HH, lattice, ggplot2, reshape2, grid, latticeExtra, xtable, markdown, rmarkdown, knitr, htmlTable
SystemRequirements: LaTeX
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-06-22 02:47:19 UTC; rmh
Repository: CRAN
Date/Publication: 2016-06-22 06:04:27

More information about microplot at CRAN
Permanent link

Tue, 21 Jun 2016

New package represtools with initial version 0.1.1
Package: represtools
Version: 0.1.1
Title: Reproducible Research Tools
Description: Reproducible research tools automates the creation of an analysis directory structure and work flow. There are R markdown skeletons which encapsulate typical analytic work flow steps. Functions will create appropriate modules which may pass data from one step to another.
Authors@R: person("Brian", "Fannin", email = "FanninQED@Yahoo.com", role = c("aut", "cre"))
Maintainer: Brian Fannin <FanninQED@Yahoo.com>
URL: http://pirategrunt.com/represtools
BugReports: https://github.com/PirateGrunt/represtools/issues
Depends: R (>= 3.2.0)
License: GPL (>= 3)
SystemRequirements: GNU make
LazyData: true
Imports: whisker
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-21 13:50:43 UTC; brian
Author: Brian Fannin [aut, cre]
Repository: CRAN
Date/Publication: 2016-06-21 17:42:48

More information about represtools at CRAN
Permanent link

New package evclass with initial version 1.0.1
Package: evclass
Type: Package
Title: Evidential Distance-Based Classification
Version: 1.0.1
Date: 2016-06-21
Author: Thierry Denoeux
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>
Description: Different evidential distance-based classifiers, which provide outputs in the form of Dempster-Shafer mass functions. The methods are: the evidential K-nearest neighbor rule and the evidential neural network.
License: GPL-3
Depends: R (>= 3.1.0)
Imports: FNN
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-21 09:49:58 UTC; Thierry
Repository: CRAN
Date/Publication: 2016-06-21 17:42:52

More information about evclass at CRAN
Permanent link

New package RMThreshold with initial version 1.0
Package: RMThreshold
Type: Package
Title: Signal-Noise Separation in Random Matrices by using Eigenvalue Spectrum Analysis
Version: 1.0
Date: 2016-06-03
Author: Uwe Menzel
Maintainer: Uwe Menzel <uwemenzel@gmail.com>
Description: An algorithm which can be used to determine an objective threshold for signal-noise separation in large random matrices (correlation matrices, mutual information matrices, network adjacency matrices) is provided. The package makes use of the results of Random Matrix Theory (RMT). The algorithm increments a suppositional threshold monotonically, thereby recording the eigenvalue spacing distribution of the matrix. According to RMT, that distribution undergoes a characteristic change when the threshold properly separates signal from noise. By using the algorithm, the modular structure of a matrix - or of the corresponding network - can be unraveled.
License: GPL
LazyLoad: yes
Imports: Matrix, png
NeedsCompilation: no
Packaged: 2016-06-21 08:46:04 UTC; meuw0001
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2016-06-21 11:00:16

More information about RMThreshold at CRAN
Permanent link

New package REPTILE with initial version 1.0
Package: REPTILE
Type: Package
Title: Regulatory DNA Element Prediction
Version: 1.0
Date: 2016-6-16
Author: Yupeng He
Description: Predicting regulatory DNA elements based on epigenomic signatures. This package is more of a set of building blocks than a direct solution. REPTILE regulatory prediction pipeline is built on this R package. See <https://github.com/yupenghe/REPTILE> for more information.
Maintainer: Yupeng He <yupeng.he.bioinfo@gmail.com>
URL: https://github.com/yupenghe/REPTILE
License: BSD_2_clause + file LICENSE
Depends: R (>= 3.2.2), foreach (>= 1.4.3), doParallel (>= 1.0.10)
Imports: optparse (>= 1.3.2), randomForest (>= 4.6-12), flux(>= 0.3-0)
NeedsCompilation: no
Packaged: 2016-06-21 06:36:30 UTC; yupeng
Repository: CRAN
Date/Publication: 2016-06-21 09:23:58

More information about REPTILE at CRAN
Permanent link

New package simstudy with initial version 0.1.1
Package: simstudy
Type: Package
Title: Simulation of Study Data
Version: 0.1.1
Date: 2016-06-17
Authors@R: person("Keith", "Goldfeld", email = "Keith.Goldfeld@nyumc.org", role = c("aut","cre"))
Author: Keith Goldfeld [aut, cre]
Maintainer: Keith Goldfeld <Keith.Goldfeld@nyumc.org>
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Depends: R (>= 3.2.2), data.table
License: GPL-3
LazyData: TRUE
Imports: Rcpp, mvnfast
RoxygenNote: 5.0.1
Suggests: testthat, knitr, rmarkdown, ggplot2, scales, grid, gridExtra, survival
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2016-06-20 19:08:27 UTC; goldfk01
Repository: CRAN
Date/Publication: 2016-06-21 08:32:43

More information about simstudy at CRAN
Permanent link

New package osi with initial version 0.1.0
Package: osi
Type: Package
Title: Open Source Initiative API Connector
Version: 0.1.0
Author: Oliver Keyes
Date: 2016-06-20
BugReports: https://github.com/Ironholds/osi/issues
URL: https://github.com/Ironholds/osi/
Maintainer: Oliver Keyes <ironholds@gmail.com>
Description: A connector to the API maintained by the Open Source Initiative <https://api.opensource.org/licenses/>, which provides machine-readable metadata about a variety of open source software licenses.
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: httr
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-06-20 23:42:20 UTC; ironholds
Repository: CRAN
Date/Publication: 2016-06-21 08:32:38

More information about osi at CRAN
Permanent link

New package IRTpp with initial version 0.2.5
Package: IRTpp
Type: Package
Title: Estimating IRT Parameters using the IRT Methodology
Version: 0.2.5
Date: 2016-06-14
Author: SICS Research Group
Maintainer: Camilo Antonio Suarez Bolanos <caasuarezbo@unal.edu.co>
Description: An implementation of the IRT paradigm for the scoring of different instruments measuring latent traits (a.k.a Abilities) and estimating item parameters for a variety of models, this package is highly optimized using Rcpp and carefully written R for the rest of the package, it aims to expand IRT applications to those applications that require faster and more robust estimation procedures. See the IRTpp documentation and github site for more information and examples.
License: MIT + file LICENSE
LinkingTo: Rcpp
Imports: Rcpp (>= 0.11.0), mvtnorm, numDeriv, FactoMineR, MASS
Suggests: knitr, optimx
VignetteBuilder: knitr
URL: https://github.com/SICSResearch/IRTpp
BugReports: https://github.com/SICSResearch/IRTpp/issues
NeedsCompilation: no
Packaged: 2016-06-20 21:57:23 UTC; Camilo
RoxygenNote: 5.0.1
Repository: CRAN
Date/Publication: 2016-06-20 23:07:10

More information about IRTpp at CRAN
Permanent link

New package difNLR with initial version 0.1.0
Package: difNLR
Type: Package
Title: Detection of Dichotomous Differential Item Functioning (DIF) by Non-Linear Regression Function
Version: 0.1.0
Date: 2016-05-23
Author: Adela Drabinova (CUNI, ICS CAS), Patricia Martinkova (ICS CAS) and Karel Zvara (CUNI)
Maintainer: Adela Drabinova <adela.drabinova@gmail.com>
Depends: R (>= 3.2.2), ggplot2, gridExtra, methods, stats
Description: Detection of differential item functioning among dichotomously scored items with non-linear regression procedure.
License: GPL-3
LazyData: no
NeedsCompilation: no
Packaged: 2016-06-21 06:25:05 UTC; drabinova
Repository: CRAN
Date/Publication: 2016-06-21 08:36:14

More information about difNLR at CRAN
Permanent link

Mon, 20 Jun 2016

New package RPtests with initial version 0.1.0
Package: RPtests
Type: Package
Title: Goodness of Fit Tests for High-Dimensional Linear Regression Models
Version: 0.1.0
Authors@R: c( person("Rajen", "Shah", email = "r.shah@statslab.cam.ac.uk", role = c("aut", "cre")), person("Peter", "Buhlmann", email="peter.buehlmann@stat.math.ethz.ch ", role="aut"))
Description: Performs goodness of fits tests for both high and low-dimensional linear models. It can test for a variety of model misspecifications including nonlinearity and heteroscedasticity. In addition one can test the significance of potentially large groups of variables, and also produce p-values for the significance of individual variables in high-dimensional linear regression.
License: GPL (>= 2)
Imports: glmnet, parallel, randomForest, Rcpp, stats
LinkingTo: Rcpp
URL: http://arxiv.org/abs/1511.03334
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-06-20 09:27:25 UTC; rds37
Author: Rajen Shah [aut, cre], Peter Buhlmann [aut]
Maintainer: Rajen Shah <r.shah@statslab.cam.ac.uk>
Repository: CRAN
Date/Publication: 2016-06-20 20:33:14

More information about RPtests at CRAN
Permanent link

New package DSsim with initial version 1.0.5
Package: DSsim
Depends: graphics, splancs, mrds, mgcv, shapefiles, methods
Suggests: testthat, parallel, knitr, rmarkdown
Type: Package
Title: Distance Sampling Simulations
Version: 1.0.5
Date: 2016-06-17
LazyLoad: yes
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>
Description: Performs distance sampling simulations. It repeatedly generates instances of a user defined population within a given survey region, generates realisations of a survey design (currently these must be pregenerated using Distance software <http://distancesampling.org/>) and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This will allow users to select survey designs which will give them the best accuracy and precision given their expectations about population distribution. Any uncertainty in population distribution or population parameters can be included by running the different survey designs for a number of different population descriptions. An example simulation can be found in the help file for make.simulation.
License: GPL (>= 2)
Collate: 'DDF.Data.R' 'generic.functions.R' 'DDF.Analysis.R' 'DS.Analysis.R' 'Survey.Design.R' 'PT.Design.R' 'PT.Systematic.Design.R' 'PT.Random.Design.R' 'LT.Design.R' 'LT.User.Specified.Design.R' 'LT.EqSpace.ZZ.Design.R' 'LT.EqAngle.ZZ.Design.R' 'LT.Random.Design.R' 'LT.Systematic.Design.R' 'Density.R' 'Population.Description.R' 'Region.R' 'Region.Table.R' 'Sample.Table.R' 'Obs.Table.R' 'Single.Obs.DDF.Data.R' 'Transect.R' 'Line.Transect.R' 'Detectability.R' 'Population.R' 'LT.Survey.Results.R' 'Survey.Results.R' 'DSM.Analysis.R' 'Simulation.R' 'Class.Constructors.R' 'Design.Summary.R' 'Survey.R' 'LT.Survey.R' 'Point.Transect.R' 'PT.Survey.R' 'Population.Summary.R' 'Simulation.Summary.R' 'Single.Obs.LT.Survey.R' 'Single.Obs.PT.Survey.R' 'accumulate.PP.results.R' 'add.dist.error.R' 'add.summary.results.R' 'calc.area.R' 'calc.poss.detect.dists.lines.R' 'calc.poss.detect.dists.points.R' 'check.intersection.R' 'check.shapefile.R' 'coords.from.shapefile.R' 'create.bins.R' 'data.for.distance.R' 'description.summary.R' 'generate.pop.D.R' 'generate.pop.N.R' 'get.ave.density.R' 'get.bound.box.R' 'get.line.sampler.info.R' 'get.point.sampler.info.R' 'get.shapefile.names.R' 'get.surface.constant.R' 'get.surface.gam.R' 'hn.detect.R' 'hr.detect.R' 'in.polygons.R' 'is.gap.R' 'modify.strata.for.analysis.R' 'rename.duplicates.R' 'save.sim.results.R' 'simulate.detections.R' 'single.simulation.loop.R' 'store.ddf.results.R' 'store.dht.results.R' 'uf.detect.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-20 11:13:22 UTC; laura
Repository: CRAN
Date/Publication: 2016-06-20 20:25:41

More information about DSsim at CRAN
Permanent link

New package OneR with initial version 1.2
Package: OneR
Type: Package
Title: Machine Learning Classification Algorithm with Enhancements
Version: 1.2
Date: 2016-06-20
Author: Holger von Jouanne-Diedrich
Maintainer: Holger von Jouanne-Diedrich <holger.jouanne-diedrich@h-ab.de>
Description: Implements the One Rule (OneR) Machine Learning classification algorithm with enhancements for sophisticated handling of missing values and numeric data together with extensive diagnostic functions. It is useful as a baseline for machine learning models and the rules are often helpful heuristics.
License: MIT + file LICENSE
URL: http://vonjd.github.io/OneR/
BugReports: http://github.com/vonjd/OneR/issues
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-20 07:39:29 UTC; Holger
Repository: CRAN
Date/Publication: 2016-06-20 10:20:33

More information about OneR at CRAN
Permanent link

New package TTCA with initial version 0.1.0
Package: TTCA
Type: Package
Title: Transcript Time Course Analysis
Version: 0.1.0
Date: 2016-06-16
Author: Marco Albrecht
Maintainer: Marco Albrecht <marco.albrecht@posteo.de>
Description: The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for the detection of significant expression dynamics often fail when the expression dynamics show a large heterogeneity, and often cannot cope with irregular and sparse measurements. The method proposed here is specifically designed for the analysis of perturbation responses. It combines different scores to capture fast and transient dynamics as well as slow expression changes, and deals with low replicate numbers and irregular sampling times. The results are given in the form of tables linked to figures. These allow to quickly recognize the relevance of detection, to identify possible false positives and to distinguish between changes in the early and later expression. An extension of the method allows the analysis of the expression dynamics of functional groups of genes, providing a quick overview of the cellular response. The performance of this package was tested on microarray data derived from lung cancer cells stimulated with epidermal growth factor. See publication "TTCA: An R package for the identification of differentially expressed genes in time course microarray data".
LazyData: TRUE
License: EUPL
Depends: R(>= 2.10)
Imports: Matrix, quantreg, tcltk2, RISmed, VennDiagram, MASS
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-20 05:57:09 UTC; Marco
Repository: CRAN
Date/Publication: 2016-06-20 08:19:10

More information about TTCA at CRAN
Permanent link

New package ROI.plugin.ipop with initial version 0.2-1
Package: ROI.plugin.ipop
Version: 0.2-1
Date: 2016-06-18
Title: ROI Plug-in {ipop}
Authors@R: c( person("Florian", "Schwendinger", role = "ctb"), person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-Project.org"), person("Diethelm", "Wuertz", role = "ctb") )
Description: Enhances the R Optimization Infrastructure ('ROI') package by registering the ipop solver from package 'kernlab'.
Imports: methods, ROI (>= 0.2-1), kernlab, slam
License: GPL-3
URL: http://R-Forge.R-project.org/projects/roi
NeedsCompilation: no
Packaged: 2016-06-19 20:46:26 UTC; theussl
Author: Florian Schwendinger [ctb], Stefan Theussl [aut, cre], Diethelm Wuertz [ctb]
Maintainer: Stefan Theussl <Stefan.Theussl@R-Project.org>
Repository: CRAN
Date/Publication: 2016-06-20 07:55:12

More information about ROI.plugin.ipop at CRAN
Permanent link

New package IMPACT with initial version 0.1.0
Package: IMPACT
Version: 0.1.0
Date: 2016-06-12
Title: The Impact of Items
Author: Nery Sofia Huerta-Pacheco
Maintainer: Nery Sofia Huerta-Pacheco <nehuerta@uv.mx>
Depends: R(>= 3.1.0)
Description: Implement a multivariate analysis of the impact of items to identify a bias in the questionnaire validation of Likert-type scale variables. The items requires considering a null value (category doesn't have tendency). Offering frequency, importance and impact of the items.
License: GPL (>= 2)
URL: http://www.uv.mx/personal/nehuerta/impact
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 5.0.1
Packaged: 2016-06-19 19:08:22 UTC; piahuerta
Repository: CRAN
Date/Publication: 2016-06-20 07:55:09

More information about IMPACT at CRAN
Permanent link

New package as.color with initial version 0.1
Package: as.color
Title: Assign Random Colors to Unique Items in a Vector
Version: 0.1
Authors@R: person("Silas", "Tittes", email = "silas.tittes@gmail.com", role = c("aut", "cre"))
Author: Silas Tittes [aut, cre]
Maintainer: Silas Tittes <silas.tittes@gmail.com>
Description: The as.color function takes an R vector of any class as an input, and outputs a vector of unique hexadecimal color values that correspond to the unique input values. This is most handy when overlaying points and lines for data that correspond to different levels or factors. The function will also print the random seed used to generate the colors. If you like the color palette generated, you can save the seed and reuse those colors.
Depends: R (>= 3.2.4)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-19 17:03:00 UTC; silastittes
Repository: CRAN
Date/Publication: 2016-06-20 07:55:10

More information about as.color at CRAN
Permanent link

Sun, 19 Jun 2016

New package ROI.plugin.nloptr with initial version 0.2-3
Package: ROI.plugin.nloptr
Version: 0.2-3
Title: ROI-Plugin NLOPTR
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Description: Enhances the R Optimization Infrastructure (ROI) package with the NLopt solver for solving nonlinear optimization problems.
Imports: methods, stats, ROI (>= 0.2-0), nloptr (>= 1.0.1)
License: GPL-3
URL: http://R-Forge.R-project.org/projects/roi
NeedsCompilation: no
Packaged: 2016-06-19 15:39:26 UTC; florian
Repository: CRAN
Date/Publication: 2016-06-19 17:49:57

More information about ROI.plugin.nloptr at CRAN
Permanent link

New package ROI.plugin.scs with initial version 0.2-2
Package: ROI.plugin.scs
Version: 0.2-2
Title: ROI-Plugin SCS
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Description: Enhances the R Optimization Infrastructure (ROI) package with the SCS solver for solving convex cone problems.
Imports: stats, methods, Matrix, slam, ROI (>= 0.2-0), scs (>= 1.0.0)
License: GPL-3
URL: http://R-Forge.R-project.org/projects/roi
NeedsCompilation: no
Packaged: 2016-06-19 14:39:49 UTC; florian
Repository: CRAN
Date/Publication: 2016-06-19 16:55:03

More information about ROI.plugin.scs at CRAN
Permanent link

New package ROI.plugin.ecos with initial version 0.2-2
Package: ROI.plugin.ecos
Version: 0.2-2
Title: ROI-Plugin ECOS
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Description: Enhances the R Optimization Infrastructure (ROI) package with the Embedded Conic Solver (ECOS) for solving conic optimization problems.
Imports: methods, slam, Matrix, ROI (>= 0.2-0), ECOSolveR (>= 0.2)
License: GPL-3
URL: http://R-Forge.R-project.org/projects/roi
NeedsCompilation: no
Packaged: 2016-06-19 12:49:50 UTC; florian
Repository: CRAN
Date/Publication: 2016-06-19 16:54:03

More information about ROI.plugin.ecos at CRAN
Permanent link

New package npROCRegression with initial version 1.0
Package: npROCRegression
Type: Package
Title: Kernel-Based Nonparametric ROC Regression Modelling
Version: 1.0
Date: 2016-06-16
Imports: lattice, graphics, stats
Suggests: knitr, rmarkdown
Authors@R: c( person("Maria Xose Rodriguez-Alvarez", email = "mxrodriguez@uvigo.es", role = c("aut", "cre")), person("Javier Roca-Pardinas", role = "aut"))
Author: Maria Xose Rodriguez-Alvarez [aut, cre], Javier Roca-Pardinas [aut]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>
Description: Implements several nonparametric regression approaches for the inclusion of covariate information on the receiver operating characteristic (ROC) framework.
VignetteBuilder: knitr
NeedsCompilation: yes
License: GPL
LazyLoad: yes
Packaged: 2016-06-18 21:03:18 UTC; Cote
Repository: CRAN
Date/Publication: 2016-06-19 16:58:06

More information about npROCRegression at CRAN
Permanent link

New package gaussfacts with initial version 0.0.1
Package: gaussfacts
Type: Package
Title: The Greatest Mathematician Since Antiquity
Version: 0.0.1
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Description: Display a random fact about Carl Friedrich Gauss based the on collection curated by Mike Cavers via the <http://gaussfacts.com> site.
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-19 12:45:29.0864 UTC; edd
Repository: CRAN
Date/Publication: 2016-06-19 16:38:22

More information about gaussfacts at CRAN
Permanent link

Sat, 18 Jun 2016

New package heuristica with initial version 1.0.0
Package: heuristica
Title: Heuristics Including Take the Best and Unit-Weight Linear
Version: 1.0.0
Authors@R: c( person("Jean", "Whitmore", email = "jeanimal@gmail.com", role = c("aut", "cre")), person("Daniel", "Barkoczi", email = "barkoczi@mpib-berlin.mpg.de", role = "aut") )
Description: Implements various heuristics like Take The Best and unit-weight linear, which do two-alternative choice: which of two objects will have a higher criterion? Also offers functions to assess performance, e.g. percent correct across all row pairs in a data set and finding row pairs where models disagree. New models can be added by implementing a fit and predict function-- see vignette.
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
LazyData: true
Imports: Hmisc
URL: https://github.com/jeanimal/heuristica
BugReports: https://github.com/jeanimal/heuristica/issues
Suggests: devtools, ggplot2, glmnet, knitr, plyr, reshape, reshape2, testthat, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-18 03:03:57 UTC; jeanwhitmore
Author: Jean Whitmore [aut, cre], Daniel Barkoczi [aut]
Maintainer: Jean Whitmore <jeanimal@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-18 15:31:12

More information about heuristica at CRAN
Permanent link

New package callr with initial version 1.0.0
Package: callr
Title: Call R from R
Version: 1.0.0
Author: Gábor Csárdi
Maintainer: Gábor Csárdi <gcsardi@mango-solutions.com>
Description: It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/MangoTheCat/callr
BugReports: https://github.com/MangoTheCat/callr/issues
RoxygenNote: 5.0.1.9000
Suggests: covr, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-06-17 21:09:31 UTC; gaborcsardi
Repository: CRAN
Date/Publication: 2016-06-18 15:24:15

More information about callr at CRAN
Permanent link

Fri, 17 Jun 2016

New package STB with initial version 0.6.2
Package: STB
Version: 0.6.2
Date: 2016-06-17
Title: Simultaneous Tolerance Bounds
Author: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>
Depends: R (>= 3.2.2)
Imports: stats, graphics, grDevices, Matrix, methods, VCA (>= 1.3.1), parallel
Description: Provides an implementation of simultaneous tolerance bounds (STB), useful for checking whether a numeric vector fits to a hypothetical null-distribution or not. Furthermore, there are functions for computing STB (bands, intervals) for random variates of linear mixed models fitted with package 'VCA'. All kinds of, possibly transformed (studentized, standardized, Pearson-type transformed) random variates (residuals, random effects), can be assessed employing STB-methodology.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2016-06-17 09:07:27 UTC; schueta6
Repository: CRAN
Date/Publication: 2016-06-17 21:20:48

More information about STB at CRAN
Permanent link

New package DoTC with initial version 0.2
Package: DoTC
Type: Package
Title: Distribution of Typicality Coefficients
Version: 0.2
Date: 2016-06-17
Author: Philip Wadewitz, Julia Fischer, Kurt Hammerschmidt, Demian Battaglia, Holger Sennhenn-Reulen
Maintainer: Holger Sennhenn-Reulen <hsennhenn-reulen@dpz.eu>
Description: Calculation of cluster typicality coefficients as being generated by fuzzy k-means clustering.
Depends: ggplot2, plyr
Imports: methods
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-06-17 06:54:43 UTC; HSennhenn-Reulen
Repository: CRAN
Date/Publication: 2016-06-17 21:20:50

More information about DoTC at CRAN
Permanent link

New package compete with initial version 0.1
Package: compete
Title: Analyzing Social Hierarchies
Type: Package
Version: 0.1
Author: c(person("James P.", "Curley", role = c("aut", "cre"), email = "jc3181@columbia.edu")
Maintainer: James P. Curley <jc3181@columbia.edu>
Description: Organizing and Analyzing Social Dominance Hierarchy Data.
Depends: R (>= 3.1.0)
License: GPL-3
LazyData: true
Imports: graphics, igraph, sna, stats, utils
URL: https://github.com/jalapic/compete
BugReports: https://github.com/jalapic/compete
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-17 14:29:45 UTC; curley1
Repository: CRAN
Date/Publication: 2016-06-17 21:12:20

More information about compete at CRAN
Permanent link

New package rvcheck with initial version 0.0.2
Package: rvcheck
Type: Package
Title: R/Package Version Check
Version: 0.0.2
Authors@R: c(person(given = "Guangchuang", family = "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre")) )
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Description: Check latest release version of R and R package (both in 'CRAN' or 'Bioconductor').
Depends: R (>= 3.3.0)
Imports: utils
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-17 03:10:55 UTC; guangchuangyu
Author: Guangchuang Yu [aut, cre]
Repository: CRAN
Date/Publication: 2016-06-17 08:18:14

More information about rvcheck at CRAN
Permanent link

New package PATHChange with initial version 1.0
Package: PATHChange
Type: Package
Title: A Tool for Identification of Differentially Expressed Pathways using Multi-Statistic Comparison
Version: 1.0
Date: 2016-05-18
Author: Fontoura, C.A.R.S. and Mombach, J.C.M.
Maintainer: Carla Fontoura <carladriani@yahoo.com.br>
Description: An R tool suited to Affymetrix microarray data that combines three different statistical tests (Bootstrap, Fisher exact and Wilcoxon signed rank) to evaluate genetic pathway alterations.
Imports: stringr, rlist, VennDiagram, grDevices, stats, utils, grid
LazyData: true
License: GPL-2
NeedsCompilation: no
Packaged: 2016-06-16 17:33:45 UTC; Remoto
Repository: CRAN
Date/Publication: 2016-06-17 08:18:35

More information about PATHChange at CRAN
Permanent link

New package bunchr with initial version 0.1.0
Package: bunchr
Type: Package
Title: Analyze Bunching in a Kink or Notch Setting
Version: 0.1.0
Authors@R: person("Itai", "Trilnick", email = "itai.trilnick@berkeley.edu", role = c("aut", "cre"))
Maintainer: Itai Trilnick <itai.trilnick@berkeley.edu>
Description: View and analyze data where bunching is expected. Estimate counter- factual distributions. For earnings data, estimate the compensated elasticity of earnings w.r.t. the net-of-tax rate.
URL: http://github.com/trilnick/bunchr
BugReports: http://github.com/trilnick/bunchr/issues
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: R (>= 3.2.4)
Imports: stats, graphics
Suggests: knitr, rmarkdown, testthat, roxygen2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-06-16 19:09:11 UTC; User
Author: Itai Trilnick [aut, cre]
Repository: CRAN
Date/Publication: 2016-06-17 08:18:29

More information about bunchr at CRAN
Permanent link

Thu, 16 Jun 2016

New package stddiff with initial version 1.0
Package: stddiff
Type: Package
Title: Calculate the Standardized Difference for Numeric, Binary and Category Variables
Version: 1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: Contains three main functions including stddiff.numeric(), stddiff.binary() and stddiff.category(). These are used to calculate the standardized difference between two groups. It is especially used to evaluate the balance between two groups before and after propensity score matching.
License: GPL
Depends: R (>= 3.0.1)
LazyData: TRUE
Packaged: 2016-06-16 11:59:25 UTC; dzc
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-06-16 18:19:20

More information about stddiff at CRAN
Permanent link

New package SPIGA with initial version 1.0.0
Package: SPIGA
Type: Package
Title: Compute SPI Index using the Methods Genetic Algorithm and Maximum Likelihood
Version: 1.0.0
Date: 2016-06-09
Authors@R: c(person('Iván', 'Ayala-Bizarro', role=c('aut','cre'), email='ivan.ayala@unh.edu.pe'), person('Jessica','Zúñiga-Mendoza', role='aut', email='zumeje@gmail.com'))
Maintainer: Iván Ayala-Bizarro <ivan.ayala@unh.edu.pe>
NeedsCompilation: no
Description: Calculate the Standardized Precipitation Index (SPI) for monitoring drought, using Artificial Intelligence techniques (SPIGA) and traditional numerical technique Maximum Likelihood (SPIML). For more information see: http://drought.unl.edu/monitoringtools/downloadablespiprogram.aspx.
Depends: GA
License: GPL-2
LazyData: TRUE
Encoding: UTF-8
Repository: CRAN
Packaged: 2016-06-16 15:28:31 UTC; abia
Author: Iván Ayala-Bizarro [aut, cre], Jessica Zúñiga-Mendoza [aut]
Date/Publication: 2016-06-16 18:26:21

More information about SPIGA at CRAN
Permanent link

New package paramGUI with initial version 2.0
Package: paramGUI
Title: A Shiny GUI for some Parameter Estimation Examples
Version: 2.0
Authors@R: c(person("Joris", "Snellenburg", role = c("cre","aut"), email = "j.snellenburg@vu.nl"), person("Katharine", "Mullen", role = "aut"), person("Ivo", "van Stokkum", role = "aut", email = "ivo@few.vu.nl"))
Description: Allows specification and fitting of some parameter estimation examples inspired by time-resolved spectroscopy via a Shiny GUI.
Depends: R (>= 3.2.2), TIMP, shiny, shinydashboard, colorspace, fields
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-16 10:30:05 UTC; jsg210
Author: Joris Snellenburg [cre, aut], Katharine Mullen [aut], Ivo van Stokkum [aut]
Maintainer: Joris Snellenburg <j.snellenburg@vu.nl>
Repository: CRAN
Date/Publication: 2016-06-16 18:19:04

More information about paramGUI at CRAN
Permanent link

New package fdcov with initial version 1.0.0
Package: fdcov
Title: Analysis of Covariance Operators
Version: 1.0.0
Authors@R: c(person(given="Alessandra", family="Cabassi", email = "alessandra.cabassi@mail.polimi.it", role = c("aut")),person(given="Adam B", family="Kashlak", email = "ak852@cam.ac.uk", role = c("aut", "cre")))
Author: Alessandra Cabassi [aut], Adam B Kashlak [aut, cre]
Maintainer: Adam B Kashlak <ak852@cam.ac.uk>
Description: Provides a variety of tools for the analysis of covariance operators.
Depends: R (>= 3.2.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Imports: matlab, corrplot
Suggests: fds
NeedsCompilation: no
Packaged: 2016-06-16 12:32:30 UTC; root
Repository: CRAN
Date/Publication: 2016-06-16 18:19:02

More information about fdcov at CRAN
Permanent link

New package evoper with initial version 0.1.0
Package: evoper
Type: Package
Title: Evolutionary Parameter Estimation for 'Repast Simphony' Models
Version: 0.1.0
Date: 2016-06-14
Authors@R: c( person("Antonio", "Prestes Garcia", email = "antonio.pgarcia@alumnos.upm.es", role = c("aut","cre")), person("Alfonso", " Rodriguez-Paton", email = "arpaton@fi.upm.es", role = c("aut","ths")))
Maintainer: Antonio Prestes Garcia <antonio.pgarcia@alumnos.upm.es>
URL: https://github.com/antonio-pgarcia/evoper
Description: The EvoPER, Evolutionary Parameter Estimation for 'Repast Simphony' Agent-Based framework, provides optimization driven parameter estimation methods based on evolutionary computation techniques which could be more efficient and require, in some cases, fewer model evaluations than other alternatives relaying on experimental design.
License: MIT + file LICENSE
LazyData: TRUE
Depends: rrepast
Imports: methods
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-15 17:05:57 UTC; antonio.pgarcia
Author: Antonio Prestes Garcia [aut, cre], Alfonso Rodriguez-Paton [aut, ths]
Repository: CRAN
Date/Publication: 2016-06-16 18:18:59

More information about evoper at CRAN
Permanent link

New package rdomains with initial version 0.1.0
Package: rdomains
Title: Get the Category of Content Hosted by a Domain
Version: 0.1.0
Authors@R: person("Gaurav", "Sood", email = "gsood07@gmail.com", role = c("aut", "cre"))
Description: Get the category of content hosted by a domain. Use Shallalist <http://shalla.de/>, Virustotal (which provides access to lots of services) <https://www.virustotal.com/>, McAfee <https://www.trustedsource.org/>, Alexa <https://aws.amazon.com/awis/>, DMOZ <http://www.dmoz.org/>, or validated machine learning classifiers based on Shallalist data to learn about the kind of content hosted by a domain.
Depends: R (>= 3.3.0)
Imports: Matrix, urltools, glmnet, stats, methods, RSelenium, XML, curl, virustotal, aws.alexa
Suggests: testthat, rmarkdown, knitr (>= 1.11)
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-15 21:05:49 UTC; gsood
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-16 12:37:26

More information about rdomains at CRAN
Permanent link

New package powerCRT with initial version 0.1.0
Package: powerCRT
Type: Package
Title: Power Analysis for Cluster Randomized Trials
Version: 0.1.0
Date: 2016-06-10
Author: Metin Bulus [aut,cre]
Maintainer: Metin Bulus <bulusmetin@gmail.com>
Description: Statistical power analysis tools for designing cluster randomized trials (CRTs). Includes functions to calculate minimum detectable effect size (MDES), minimum required sample size (MRSS), power (1 - type II error), functions to estimate optimal sample sizes (OSS) under various constraints, and to visualize duo or trio relationships between MDES, MRSS, power, and OSS.
BugReports: Metin Bulus <bulusmetin@gmail.com>
Depends: nloptr(>= 1.0.4)
License: GPL (>= 3)
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-06-16 06:12:35 UTC; METIN
Repository: CRAN
Date/Publication: 2016-06-16 12:32:09

More information about powerCRT at CRAN
Permanent link

New package gmDatabase with initial version 0.5.0
Package: gmDatabase
Version: 0.5.0
Date: 2016-05-31
Title: Accessing a Geometallurgical Database with R
Authors@R: c(person("K. Gerald", "van den Boogaart", role = c("aut", "cre"), email = "support@boogaart.de"), person("Stephan", "Matos Camacho", role = c("aut"), email = "s.matos@hzdr.de") )
Author: K. Gerald van den Boogaart [aut, cre], Stephan Matos Camacho [aut]
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>
Depends: R(>= 2.1.0), DBI, RMySQL, foreach, methods, digest, shiny
Suggests: MASS
Description: A template for a geometallurgical database and a fast and easy interface for accessing it is provided in this package.
License: GPL (>= 2) | LGPL (>= 2)
LazyLoad: TRUE
URL: http://www.r-project.org, http://www.stat.boogaart.de
Copyright: (C) 2016 by Helmholtz Institute Freiberg for Resource Technology
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-15 12:21:07 UTC; matos58
Repository: CRAN
Date/Publication: 2016-06-16 12:32:05

More information about gmDatabase at CRAN
Permanent link

New package Conigrave with initial version 0.1.0
Package: Conigrave
Type: Package
Title: Flexible Tools for Multiple Imputation
Version: 0.1.0
Date: 2016-06-10
Author: James Conigrave
Maintainer: James Conigrave <james.conigrave@gmail.com>
Description: Provides a set of tools that can be used across 'data.frame' and 'imputationList' objects.
License: GPL-3
LazyData: TRUE
Imports: ggplot2 (>= 2.1.0), mitools (>= 2.3), miceadds (>= 1.8-0), stats (>= 3.3.0)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-16 05:04:12 UTC; James
Repository: CRAN
Date/Publication: 2016-06-16 12:32:15

More information about Conigrave at CRAN
Permanent link

New package SubVis with initial version 1.0.0
Package: SubVis
Version: 1.0.0
Date: 2016-06-14
Title: Visual Exploration of Protein Alignments Resulting from Multiple Substitution Matrices
Description: Substitution matrices are important parameters in protein alignment algorithms. These matrices represent the likelihood that an amino acid will be substituted for another during mutation. This tool allows users to apply predefined and custom matrices and then explore the resulting alignments with interactive visualizations.
Imports: shiny, Biostrings
License: GPL-3
Author: Scott Barlowe <sabarlowe@email.wcu.edu>
Maintainer: Scott Barlowe <sabarlowe@email.wcu.edu>
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-06-16 03:42:39 UTC; sabarlowe
Repository: CRAN
Date/Publication: 2016-06-16 06:46:53

More information about SubVis at CRAN
Permanent link

New package MVLM with initial version 0.0.0
Package: MVLM
Type: Package
Title: Multivariate Linear Model with Analytic p-Values
Version: 0.0.0
Date: 2016-06-15
Author: Daniel B. McArtor (dmcartor@nd.edu) [aut, cre]
Maintainer: Daniel B. McArtor <dmcartor@nd.edu>
Description: Allows a user to conduct multivariate multiple regression using analytic p-values rather than approximations based on Wilks' Lambda, Pillai's trace, etc.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.0.0),
Imports: CompQuadForm, parallel
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: http://github.com/dmcartor/MVLM
BugReports: http://github.com/dmcartor/MVLM/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-15 22:59:33 UTC; dmcartor
Repository: CRAN
Date/Publication: 2016-06-16 06:47:12

More information about MVLM at CRAN
Permanent link

Wed, 15 Jun 2016

New package cssTools with initial version 1.0
Package: cssTools
Type: Package
Title: Cognitive Social Structure Tools
Version: 1.0
Date: 2016-06-04
Author: Deniz Yenigun, Gunes Ertan, Michael Siciliano
Maintainer: Deniz Yenigun <deniz.yenigun@bilgi.edu.tr>
Description: A collection of tools for estimating a network from a random sample of cognitive social structure (CSS) slices. Also contains functions for evaluating a CSS in terms of various error types observed in each slice.
License: GPL (>= 2)
Depends: sna
Imports: graphics
NeedsCompilation: no
Packaged: 2016-06-15 09:04:08 UTC; Deniz
Repository: CRAN
Date/Publication: 2016-06-15 11:42:58

More information about cssTools at CRAN
Permanent link

New package sbrl with initial version 1.0
Package: sbrl
Type: Package
Title: Scalable Bayesian Rule Lists Model
Version: 1.0
Date: 2016-06-07
Authors@R: c(person("Hongyu", "Yang", role = c("aut", "cre"), email = "hongyuy@mit.edu"), person("Morris", "Chen", role = "ctb", email = "Morris_CM_Chen@wistron.com"), person("Cynthia", "Rudin", role = c("aut", "ctb"), email = "rudin@cs.duke.edu"), person("Margo", "Seltzer", role = c("aut", "ctb"), email = "margo@eecs.harvard.edu"))
Author: Hongyu Yang [aut, cre], Morris Chen [ctb], Cynthia Rudin [aut, ctb], Margo Seltzer [aut, ctb]
Maintainer: Hongyu Yang <hongyuy@mit.edu>
Description: An implementation of Scalable Bayesian Rule Lists Algorithm.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), arules, methods
RcppModules: sbrl
LinkingTo: Rcpp
NeedsCompilation: yes
LazyData: yes
Packaged: 2016-06-14 18:50:13 UTC; hongyuy
Repository: CRAN
Date/Publication: 2016-06-15 08:33:09

More information about sbrl at CRAN
Permanent link

New package listviewer with initial version 1.0
Package: listviewer
Type: Package
Title: 'htmlwidget' for Interactive Views of R Lists
Version: 1.0
Date: 2016-06-14
Author: c( person("Jos", "de Jong", role = c("aut", "cph"), comment = "jsoneditor.js library in htmlwidgets/jsoneditor, http://github.com/josdejong/jsoneditor/" ), person("Kenton","Russell", role = c("aut","cre"), comment = "R interface" , email = "kent.russell@timelyportfolio.com" ) )
Maintainer: Kent Russell<kent.russell@timelyportfolio.com>
Description: R lists especially nested lists can be very difficult to visualize or represent. 'str' just isn't enough, so this suite of 'htmlwidgets' is designed to help see, understand, and maybe even modify your R lists.
License: MIT + file LICENSE
LazyData: TRUE
URL: https://github.com/timelyportfolio/listviewer
BugReports: https://github.com/timelyportfolio/listviewer/issues
Imports: htmlwidgets
Suggests: htmltools, jsonlite, shiny
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-15 03:39:04 UTC; Kent
Repository: CRAN
Date/Publication: 2016-06-15 08:33:04

More information about listviewer at CRAN
Permanent link

Tue, 14 Jun 2016

New package semds with initial version 0.9-2
Package: semds
Version: 0.9-2
Date: 2016-06-14
Title: Structural Equation Multidimensional Scaling
Authors@R: c(person("Patrick", "Mair", role = c("aut", "cre"), email = "mair@fas.harvard.edu"), person("Jose Fernando", "Vera", role = "aut", email = "jfvera@ugr.es"))
Author: Patrick Mair [aut, cre], Jose Fernando Vera [aut]
Maintainer: Patrick Mair <mair@fas.harvard.edu>
Imports: graphics, stats, pracma, minpack.lm
Depends: R (>= 3.0.0)
Suggests: MASS
Description: Fits a multidimensional scaling (MDS) model for three-way data. It integrates concepts from structural equation models (SEM) by assuming an underlying, latent dissimilarity matrix. The methods uses an alternating estimation procedure in which the unknown symmetric dissimilarity matrix is estimated in a SEM framework while the objects are represented in a low-dimensional space. As a special case it can also handle asymmetric input dissimilarities.
License: GPL (>= 2)
LazyData: yes
LazyLoad: yes
ByteCompile: yes
NeedsCompilation: yes
Packaged: 2016-06-14 13:17:44 UTC; patrick
Repository: CRAN
Date/Publication: 2016-06-14 20:34:45

More information about semds at CRAN
Permanent link

New package perccal with initial version 1.0
Package: perccal
Type: Package
Title: Implementing Double Bootstrap Linear Regression Confidence Intervals Using the 'perc-cal' Method
Version: 1.0
Date: 2016-06-14
Authors@R: c( person("Daniel", "McCarthy", role=c("aut","cre","ctb"), email="danielmc@wharton.upenn.edu"))
Maintainer: Daniel McCarthy <danielmc@wharton.upenn.edu>
URL: http://www.danielminhmccarthy.com
Description: Contains functions which allow the user to compute confidence intervals quickly using the double bootstrap-based percentile calibrated ('perc-cal') method for linear regression coefficients. 'perccal_interval()' is the primary user-facing function within this package.
License: GPL-3
Imports: Rcpp (>= 0.11.5)
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
NeedsCompilation: yes
Packaged: 2016-06-14 17:32:40 UTC; danielmc
Author: Daniel McCarthy [aut, cre, ctb]
Repository: CRAN
Date/Publication: 2016-06-14 20:34:32

More information about perccal at CRAN
Permanent link

New package geojsonlint with initial version 0.1.0
Package: geojsonlint
Title: Tools for Validating 'GeoJSON'
Description: Tools for linting 'GeoJSON'. Includes tools for interacting with the online tool <http://geojsonlint.com>, the 'Javascript' library 'geojsonhint' (<https://www.npmjs.com/package/geojsonhint>), and validating against a GeoJSON schema via the 'Javascript' library (<https://www.npmjs.com/package/is-my-json-valid>). Some tools work locally while others require an internet connection.
Version: 0.1.0
License: MIT + file LICENSE
Authors@R: c( person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"), person("Andy", "Teucher", role = "aut", email = "andy.teucher@gmail.com"), person("Tom", "MacWright", role = "cph", comment = "geojsonhint Javascript library"), person("Mads", "Kristensen", role = "cph", comment = "geojson schema") )
URL: https://github.com/ropenscilabs/geojsonlint
BugReports: http://www.github.com/ropenscilabs/geojsonlint/issues
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 2.10)
Imports: httr (>= 1.1.0), jsonlite (>= 0.9.19), jsonvalidate (>= 1.0.0), V8
Suggests: testthat, knitr, rmarkdown (>= 0.9.6), covr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-14 16:44:26 UTC; sacmac
Author: Scott Chamberlain [aut, cre], Andy Teucher [aut], Tom MacWright [cph] (geojsonhint Javascript library), Mads Kristensen [cph] (geojson schema)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-14 20:34:37

More information about geojsonlint at CRAN
Permanent link

New package cointmonitoR with initial version 0.1.0
Package: cointmonitoR
Type: Package
Title: Consistent Monitoring of Stationarity and Cointegrating Relationships
Date: 2016-06-14
Version: 0.1.0
Authors@R: c( person("Philipp", "Aschersleben", role = c("aut", "cre"), email = "aschersleben@statistik.tu-dortmund.de"), person("Martin", "Wagner", email = "wagner@statistik.tu-dortmund.de", role = "aut", comment = "Author of underlying paper."), person("Dominik", "Wied", email = "wied@statistik.tu-dortmund.de", role = "aut", comment = "Author of underlying paper."))
Description: We propose a consistent monitoring procedure to detect a structural change from a cointegrating relationship to a spurious relationship. The procedure is based on residuals from modified least squares estimation, using either Fully Modified, Dynamic or Integrated Modified OLS. It is inspired by Chu et al. (1996) <DOI:10.2307/2171955> in that it is based on parameter estimation on a pre-break "calibration" period only, rather than being based on sequential estimation over the full sample. See the discussion paper <DOI:10.2139/ssrn.2624657> for further information. This package provides the monitoring procedures for both the cointegration and the stationarity case (while the latter is just a special case of the former one) as well as printing and plotting methods for a clear presentation of the results.
URL: https://github.com/aschersleben/cointmonitoR
BugReports: https://github.com/aschersleben/cointmonitoR/issues
License: GPL-3
Depends: cointReg (>= 0.2.0)
Imports: stats, graphics, matrixStats (>= 0.14.1)
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-06-14 13:52:21 UTC; Aschersleben
Author: Philipp Aschersleben [aut, cre], Martin Wagner [aut] (Author of underlying paper.), Dominik Wied [aut] (Author of underlying paper.)
Maintainer: Philipp Aschersleben <aschersleben@statistik.tu-dortmund.de>
Repository: CRAN
Date/Publication: 2016-06-14 20:34:46

More information about cointmonitoR at CRAN
Permanent link

New package COCONUT with initial version 1.0
Package: COCONUT
Type: Package
Title: COmbat CO-Normalization Using conTrols (COCONUT)
Version: 1.0
Date: 2016-06-10
Author: Timothy E Sweeney, MD, PhD [aut,cre]
Maintainer: Timothy E Sweeney <tes17@alumni.stanford.edu>
Depends: stats
Suggests: limma, parallel
Enhances:
Description: Allows for pooled analysis of microarray data by batch-correcting control samples, and then applying the derived correction parameters to non-control samples to obtain bias-free, inter-dataset corrected data.
License: GPL-3
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-06-14 15:55:07 UTC; tes17
Repository: CRAN
Date/Publication: 2016-06-14 20:34:40

More information about COCONUT at CRAN
Permanent link

New package goeveg with initial version 0.1.6
Package: goeveg
Type: Package
Title: Functions for Community Data and Ordinations
Version: 0.1.6
Date: 2016-06-14
Author: Friedemann Goral [aut, cre], Jenny Schellenberg [aut]
Maintainer: Friedemann Goral <fgoral@gwdg.de>
Description: A collection of functions useful in (vegetation) community analyses and ordinations, mainly to facilitate plotting and interpretation. Includes automatic species selection for ordination diagrams, species response curves and rank-abundance curves.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 2.10)
Imports: vegan, fields
URL: http://github.com/fgoral/goeveg
BugReports: http://github.com/fgoral/goeveg/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-14 08:01:03 UTC; Friede
Repository: CRAN
Date/Publication: 2016-06-14 11:58:44

More information about goeveg at CRAN
Permanent link

New package pgraph with initial version 0.6
Package: pgraph
Type: Package
Title: Build Dependency Graphs using Projection
Version: 0.6
Date: 2016-06-11
Author: Jianqing Fan, Yang Feng and Lucy Xia
Maintainer: Yang Feng <yang.feng@columbia.edu>
Imports: SAM, energy, glasso, glmnet, splines
Description: Implements a general framework for creating graphs using projection. Both lasso and sparse additive model projections and implemented. Both Pearson correlation and distance covariance are used to generate the graph.
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-14 00:29:19 UTC; yangfeng
Repository: CRAN
Date/Publication: 2016-06-14 10:31:38

More information about pgraph at CRAN
Permanent link

New package mscstexta4r with initial version 0.1.0
Package: mscstexta4r
Type: Package
Title: R Client for the Microsoft Cognitive Services Text Analytics REST API
Version: 0.1.0
Authors@R: person("Phil", "Ferriere", email="pferriere@hotmail.com", role = c("aut", "cre"))
Maintainer: Phil Ferriere <pferriere@hotmail.com>
Description: R Client for the Microsoft Cognitive Services Text Analytics REST API, including Sentiment Analysis, Topic Detection, Language Detection, and Key Phrase Extraction. An account MUST be registered at the Microsoft Cognitive Services website <https://www.microsoft.com/cognitive-services/> in order to obtain a (free) API key. Without an API key, this package will not work properly.
License: MIT + file LICENSE
URL: https://github.com/philferriere/mscstexta4r
BugReports: http://www.github.com/philferriere/mscstexta4r/issues
VignetteBuilder: knitr
Imports: methods, httr, jsonlite, pander, stringi, dplyr, utils
Suggests: knitr, rmarkdown, testthat
SystemRequirements: A valid account MUST be registered with Microsoft's Cognitive Services website <https://www.microsoft.com/cognitive-services/> in order to obtain a (free) API key. Without an API key, this package will not work properly.
NeedsCompilation: no
RoxygenNote: 5.0.1
Packaged: 2016-06-14 05:38:19 UTC; Phil
Author: Phil Ferriere [aut, cre]
Repository: CRAN
Date/Publication: 2016-06-14 08:32:22

More information about mscstexta4r at CRAN
Permanent link

Mon, 13 Jun 2016

New package units with initial version 0.1
Package: units
Version: 0.1
Title: Measurement Units of Physical Quantities for R Vectors
Authors@R: c(person("Edzer", "Pebesma", role = c("aut", "cre"), email = "edzer.pebesma@uni-muenster.de"))
Depends: R (>= 3.0.0)
Imports: utils, stats, udunits2
Suggests: knitr
VignetteBuilder: knitr
Description: Support for measurement units of physical quantities in R vectors, based on the udunits library from unidata.
License: GPL-2
URL: https://github.com/edzer/units/
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-09 12:21:19 UTC; edzer
Author: Edzer Pebesma [aut, cre]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>
Repository: CRAN
Date/Publication: 2016-06-09 15:19:23

More information about units at CRAN
Permanent link

New package tigger with initial version 0.2.5
Package: tigger
Type: Package
Version: 0.2.5
Date: 2016-06-07
Authors@R: c(person("Daniel", "Gadala-Maria", role=c("aut", "cre"), email="daniel.gadala-maria@yale.edu"), person("Jason", "Vander Heiden", role=c("ctb"), email="jason.vanderheiden@yale.edu"), person("Steven", "Kleinstein", role=c("aut", "cph"), email="steven.kleinstein@yale.edu"))
Title: R Tools for Inferring New Immunoglobulin Alleles from Rep-Seq Data
Description: Infers the V genotype of an individual from immunoglobulin (Ig) repertoire-sequencing (Rep-Seq) data, including detection of any novel alleles. This information is then used to correct existing V allele calls from among the sample sequences.
License: CC BY-NC-SA 4.0
URL: http://tigger.readthedocs.io
BugReports: https://bitbucket.org/kleinstein/tigger/issues
LazyData: true
BuildVignettes: true
VignetteBuilder: knitr
Depends: R (>= 3.2.3), alakazam (>= 0.2.1), shazam (>= 0.1.2), ggplot2 (>= 2.0.0)
Imports: tidyr, dplyr, doParallel, foreach, graphics, grid, iterators, parallel, stats
Suggests: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-08 07:38:12 UTC; dgada_000
Author: Daniel Gadala-Maria [aut, cre], Jason Vander Heiden [ctb], Steven Kleinstein [aut, cph]
Maintainer: Daniel Gadala-Maria <daniel.gadala-maria@yale.edu>
Repository: CRAN
Date/Publication: 2016-06-08 10:07:41

More information about tigger at CRAN
Permanent link

New package TANDEM with initial version 0.9.1
Package: TANDEM
Type: Package
Title: A Two-Stage Approach to Maximize Interpretability of Drug Response Models Based on Multiple Molecular Data Types
Version: 0.9.1
Date: 2016-06-02
Author: Nanne Aben
Maintainer: Nanne Aben <nanne.aben@gmail.com>
Description: A two-stage regression method that can be used when various input data types are correlated, for example gene expression and methylation in drug response prediction. In the first stage it uses the upstream features (such as methylation) to predict the response variable (such as drug response), and in the second stage it uses the downstream features (such as gene expression) to predict the residuals of the first stage. In our manuscript (Aben et al., 2016, in press), we show that using TANDEM prevents the model from being dominated by gene expression and that the features selected by TANDEM are more interpretable.
Depends: R (>= 2.10)
Imports: glmnet
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-06-08 08:58:55 UTC; nanne
Repository: CRAN
Date/Publication: 2016-06-08 11:45:56

More information about TANDEM at CRAN
Permanent link

New package sfinx with initial version 1.7.0
Package: sfinx
Type: Package
Title: Straightforward Filtering Index for AP-MS Data Analysis (SFINX)
Version: 1.7.0
Date: 2016-06-13
Authors@R: c( person("Kevin", "Titeca", email = "sfinxinteractomics@gmail.com", role = c("aut", "cre")), person("Jan", "Tavernier", role = "ths"), person("Sven", "Eyckerman", role = "ths"))
Description: The straightforward filtering index (SFINX) identifies true positive protein interactions in a fast, user-friendly, and highly accurate way. It is not only useful for the filtering of affinity purification - mass spectrometry (AP-MS) data, but also for similar types of data resulting from other co-complex interactomics technologies, such as TAP-MS, Virotrap and BioID. SFINX can also be used via the website interface at <http://sfinx.ugent.be>.
License: Apache License 2.0
LazyData: TRUE
Depends: R (>= 3.2.3)
URL: http://sfinx.ugent.be
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-06-13 14:59:35 UTC; Kevin
Author: Kevin Titeca [aut, cre], Jan Tavernier [ths], Sven Eyckerman [ths]
Maintainer: Kevin Titeca <sfinxinteractomics@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-13 17:10:32

More information about sfinx at CRAN
Permanent link

New package sEparaTe with initial version 0.1.0
Package: sEparaTe
Title: Maximum Likelihood Estimation and Likelihood Ratio Test Functions for Separable Variance-Covariance Structures
Version: 0.1.0
Authors@R: c( person("Ameur", "Manceur", email = "ameur.manceur@mail.mcgill.ca", role = "aut"), person("Timothy", "Schwinghamer", email = "schwinghamer@hotmail.com", role = "cre"), person("Pierre", "Dutilleul", email = "pierre.dutilleul@mcgill.ca", role = "aut") )
Maintainer: Timothy Schwinghamer <schwinghamer@hotmail.com>
Description: It combines maximum likelihood estimation of the parameters of matrix and 3rd-order tensor normal distributions with unstructured factor variance covariance matrices, two procedures, and unbiased modified likelihood ratio testing of simple and double separability for variance-covariance structures, two procedures.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2016-06-07 18:13:37 UTC; Timothy Schwinghamer
Author: Ameur Manceur [aut], Timothy Schwinghamer [cre], Pierre Dutilleul [aut]
Repository: CRAN
Date/Publication: 2016-06-08 00:59:40

More information about sEparaTe at CRAN
Permanent link

New package SDraw with initial version 2.1.3
Package: SDraw
Type: Package
Title: Spatially Balanced Sample Draws for Spatial Objects
Version: 2.1.3
Date: 2016-06-10
Author: Trent McDonald
Maintainer: Trent McDonald <tmcdonald@west-inc.com>
Description: Routines for drawing samples, focusing on spatially balanced algorithms. Draws Halton Lattice (HAL), Balanced Acceptance Samples (BAS), Generalized Random Tesselation Stratified (GRTS), Simple Systematic Samples (SSS) and Simple Random Samples (SRS) from point, line, and polygon resources. Frames are 'SpatialPoints', 'SpatialLines', or 'SpatialPolygons' objects from package 'sp'.
License: GNU General Public License
URL: https://github.com/tmcd82070/SDraw/wiki/SDraw
BugReports: https://github.com/tmcd82070/SDraw/issues
Imports: spsurvey, utils, rgeos, graphics, methods, deldir, stats
Depends: R (>= 2.10), sp
LazyData: true
RoxygenNote: 5.0.1
Collate: 'HI.coast.r' 'WA.cities.r' 'WA.r' 'WY.r' 'SDraw-package.r' 'sdraw.SpatialPoints.r' 'sdraw.SpatialLines.r' 'sdraw.SpatialPolygons.r' 'sdraw.r' 'bas.line.r' 'bas.point.r' 'bas.polygon.r' 'extended.gcd.r' 'grts.equi.r' 'grts.line.r' 'grts.point.r' 'grts.polygon.r' 'hal.line.r' 'hal.point.r' 'hal.polygon.r' 'halton.frame.r' 'halton.indicies.CRT.r' 'halton.indicies.r' 'halton.indicies.vector.r' 'halton.lattice.polygon.r' 'halton.lattice.r' 'halton.r' 'plot.sdrawSample.R' 'primes.r' 'sss.point.r' 'sss.line.r' 'sss.polygon.r' 'srs.polygon.r' 'srs.line.r' 'srs.point.r' 'merge.lines.r' 'aprox.r' 'max.U.r' 'polygonArea.r' 'lineLength.r' 'voronoi.polygons.r' 'zzz.r'
NeedsCompilation: no
Packaged: 2016-06-10 17:51:21 UTC; tmcdonald
Repository: CRAN
Date/Publication: 2016-06-11 00:02:16

More information about SDraw at CRAN
Permanent link

New package rwty with initial version 1.0.0
Package: rwty
Type: Package
Title: R We There Yet? Visualizing MCMC Convergence in Phylogenetics
Version: 1.0.0
Author: Dan Warren <dan.l.warren@gmail.com>, Anthony Geneva <anthony.geneva@gmail.com>, Rob Lanfear <rob.lanfear@gmail.com>
Maintainer: Dan Warren <dan.l.warren@gmail.com>
Description: Implements various tests, visualizations, and metrics for diagnosing convergence of MCMC chains in phylogenetics. It implements and automates many of the functions of the AWTY package in the R environment.
License: GPL-2
Depends: R (>= 3.0.1), ape, ggplot2,
Imports: reshape2, phangorn, coda, viridis, grid, plyr, ggdendro, GGally, parallel,
Suggests: knitr,
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-10 22:09:29 UTC; dwarren
Repository: CRAN
Date/Publication: 2016-06-11 09:29:05

More information about rwty at CRAN
Permanent link

New package Rsampling with initial version 0.1.1
Package: Rsampling
Title: Ports the Workflow of "Resampling Stats" Add-in to R
Version: 0.1.1
Authors@R: c( person("Paulo", "Prado", , "prado@ib.usp.br", role = c("aut", "cre")), person("Andr\'e", "Chalom", , "andrechalom@gmail.com", role = c("aut")), person("Alexandre", "Oliveira", , "adalardo@usp.br", role = c("aut")) )
Description: Resampling Stats (http://www.resample.com) is an add-in for running randomization tests in Excel worksheets. The workflow is (1) to define a statistic of interest that can be calculated from a data table, (2) to randomize rows ad/or columns of a data table to simulate a null hypothesis and (3) and to score the value of the statistic from many randomizations. The relative frequency distribution of the statistic in the simulations is then used to infer the probability of the observed value be generated by the null process (probability of Type I error). This package intends to translate this logic for R for teaching purposes. Keeping the original workflow is favored over performance.
Depends: R (>= 3.0.0)
Imports: graphics, stats, utils
License: GPL-2
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-06-07 03:50:26 UTC; chalom
Author: Paulo Prado [aut, cre], Andr'e Chalom [aut], Alexandre Oliveira [aut]
Maintainer: Paulo Prado <prado@ib.usp.br>
Repository: CRAN
Date/Publication: 2016-06-07 14:46:12

More information about Rsampling at CRAN
Permanent link

New package rpn with initial version 1.0
Package: rpn
Type: Package
Title: Converter and Interpreter for Reverse Polish Notation Expressions
Description: Pure R implementation of a simple (Reverse) Polish Notation (RPN) interpreter and converter.
Version: 1.0
Date: 2016-06-06
Authors@R: c(person("Jakob", "Bossek", email = "j.bossek@gmail.com", role = c("aut", "cre")))
Maintainer: Jakob Bossek <j.bossek@gmail.com>
URL: https://github.com/jakobbossek/rpn
BugReports: https://github.com/jakobbossek/rpn/issues
License: BSD_2_clause + file LICENSE
Depends: BBmisc (>= 1.6), checkmate (>= 1.1),
Suggests: testthat
ByteCompile: yes
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-07 13:53:54 UTC; jboss
Author: Jakob Bossek [aut, cre]
Repository: CRAN
Date/Publication: 2016-06-07 16:36:19

More information about rpn at CRAN
Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.