Tue, 06 Dec 2016

New package robustsae with initial version 0.1.0
Package: robustsae
Type: Package
Title: Robust Bayesian Small Area Estimation
Version: 0.1.0
Date: 2016-12-05
Author: Malay Ghosh, Jiyoun Myung, Fernando Moura
Maintainer: Jiyoun Myung <jiyoun@ufl.edu>
Description: Functions for Robust Bayesian Small Area Estimation.
License: GPL-3
LazyData: true
Depends: R(>= 3.1.0), MCMCpack, coda, lattice, mvtnorm, pscl
NeedsCompilation: yes
Repository: CRAN
Packaged: 2016-12-06 04:41:37 UTC; yongator
Date/Publication: 2016-12-06 07:52:43

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New package msaR with initial version 0.1.0
Package: msaR
Title: Multiple Sequence Alignment for R Shiny
Version: 0.1.0
Authors@R: c(person("Benedikt", "Rauscher", email = "b.rauscher@dkfz-heidelberg.de", role = c("aut", "cph")), person('Zachary', 'Charlop-Powers', role=c('cre', 'aut'), email='zach.charlop.powers@gmail.com'))
Description: Visualises multiple sequence alignments dynamically within the Shiny web application framework.
Depends: R (>= 3.2.2)
License: BSL-1.0
Imports: ape, htmlwidgets
Suggests: Biostrings, knitr, rmarkdown
LazyData: true
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-12-05 23:12:24 UTC; zachpowers
Author: Benedikt Rauscher [aut, cph], Zachary Charlop-Powers [cre, aut]
Maintainer: Zachary Charlop-Powers <zach.charlop.powers@gmail.com>
Repository: CRAN
Date/Publication: 2016-12-06 07:52:40

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New package intrval with initial version 0.1-0
Package: intrval
Type: Package
Title: Relational Operators for Intervals
Version: 0.1-0
Date: 2016-12-05
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>
Description: Evaluating if values of vectors are within different open/closed intervals (`x %[]% c(a, b)`), or if two closed intervals overlap (`c(a1, b1) %[o]% c(a2, b2)`). Operators for negation and directional relations also implemented.
License: GPL-2
URL: https://github.com/psolymos/intrval
BugReports: https://github.com/psolymos/intrval/issues
LazyLoad: yes
LazyData: true
NeedsCompilation: no
Packaged: 2016-12-06 02:02:49 UTC; root
Repository: CRAN
Date/Publication: 2016-12-06 07:52:35

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Mon, 05 Dec 2016

New package rt3 with initial version 0.1.2
Package: rt3
Type: Package
Title: Tic-Tac-Toe Package for R
Version: 0.1.2
Author: Johan Jordaan
Maintainer: Johan Jordaan <djjordaan@gmail.com>
Description: Play the classic game of tic-tac-toe (naughts and crosses).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-12-05 20:55:21 UTC; johanjordaan
Repository: CRAN
Date/Publication: 2016-12-05 23:43:08

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New package rfordummies with initial version 0.1.3
Package: rfordummies
Title: Code Examples to Accompany the Book "R for Dummies"
Version: 0.1.3
Authors@R: c(person("Andrie", "de Vries", role=c("aut", "cre"), email="apdevries@gmail.com"), person("Joris", "Meys", role = c("aut")))
Description: Contains all the code examples in the book "R for Dummies" (1st edition). You can view the table of contents as well as the sample code for each chapter.
Date: 2016-12-04
URL: http://rfordummies.com
BugReports: https://github.com/andrie/rfordummies/issues
Suggests: fortunes, stringr, sos, XLConnect, reshape2, ggplot2, foreign, lattice
License: GPL-2 | GPL-3
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-04 21:52:54 UTC; adevries
Author: Andrie de Vries [aut, cre], Joris Meys [aut]
Maintainer: Andrie de Vries <apdevries@gmail.com>
Repository: CRAN
Date/Publication: 2016-12-05 23:39:53

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New package xLLiM with initial version 1.0
Package: xLLiM
Type: Package
Title: High Dimensional Locally-Linear Mapping
Version: 1.0
Author: Emeline Perthame (emeline.perthame@inria.fr), Florence Forbes (florence.forbes@inria.fr), Antoine Deleforge (antoine.deleforge@inria.fr)
Maintainer: Emeline Perthame <perthame.emeline@gmail.com>
Description: Provides a tool for non linear mapping (non linear regression) using a mixture of regression model and an inverse regression strategy. The methods include the GLLiM model (see Deleforge et al (2015) <DOI:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust version of GLLiM, named SLLiM (see Perthame et al (2016) <https://hal.archives-ouvertes.fr/hal-01347455>) based on a mixture of Generalized Student distributions.
License: GPL (>= 2)
Depends:
Imports: MASS,abind,corpcor,Matrix
NeedsCompilation: no
Packaged: 2016-12-05 14:11:55 UTC; Emeline
Repository: CRAN
Date/Publication: 2016-12-05 22:56:08

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New package tswge with initial version 1.0.0
Package: tswge
Type: Package
Title: Applied Time Series Analysis
Version: 1.0.0
Date: 2016-12-4
Author: Wayne Woodward
Maintainer: Wayne Woodward <waynew@smu.edu>
Description: Accompanies the text Applied Time Series Analysis with R, 2nd edition by Woodward, Gray, and Elliott. It is helpful for data analysis and for time series instruction.
Imports: signal,PolynomF,MASS,waveslim,astsa
License: GPL-2
NeedsCompilation: no
Packaged: 2016-12-05 16:52:39 UTC; 00013961
Repository: CRAN
Date/Publication: 2016-12-05 22:59:11

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New package melviewr with initial version 0.0.1
Package: melviewr
Type: Package
Title: View and Classify MELODIC Output for ICA+FIX
Version: 0.0.1
Authors@R: person("Andrew", "Poppe", email = "Poppe076@gmail.com", role = c("aut", "cre"))
Description: Provides a graphical interface that allows the user to easily view and classify output from 'MELODIC', a part of the 'FSL' neuroimaging analysis software suite that performs independent component analysis (ICA; see <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/MELODIC/> for more information). The user categorizes a component as signal or noise based on its spatial and temporal characteristics and can then save a text file of these classifications in the format required by 'ICA+FIX', an automatic noise removal tool (<https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FIX>).
URL: https://github.com/AndrewPoppe/melviewr
BugReports: https://github.com/AndrewPoppe/melviewr/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: gtools, RColorBrewer, RNifti, grDevices, RGtk2, cairoDevice, methods, jsonlite
Depends: gWidgetsRGtk2, gWidgets
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-05 21:47:54 UTC; poppe076
Author: Andrew Poppe [aut, cre]
Maintainer: Andrew Poppe <Poppe076@gmail.com>
Repository: CRAN
Date/Publication: 2016-12-05 23:02:45

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New package gafit with initial version 0.5.1
Package: gafit
Version: 0.5.1
Date: 2016-12-05
Title: Genetic Algorithm for Curve Fitting
Author: Telford Tendys <gafit@lnx-bsp.net>
Maintainer: Telford Tendys <gafit@lnx-bsp.net>
Depends: R (>= 3.0.0)
Description: A group of sample points are evaluated against a user-defined expression, the sample points are lists of parameters with values that may be substituted into that expression. The genetic algorithm attempts to make the result of the expression as low as possible (usually this would be the sum of residuals squared).
License: GPL-2
URL: http://lnx-bsp.net/
Packaged: 2016-12-04 22:24:17 UTC; telford
Repository: CRAN
Date/Publication: 2016-12-05 22:52:27
NeedsCompilation: yes

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New package misreport with initial version 0.1.0
Package: misreport
Title: Statistical Analysis of Misreporting on Sensitive Survey Questions
Description: Enables investigation of the predictors of misreporting on sensitive survey questions through a multivariate list experiment regression method. The method permits researchers to model whether a survey respondent's answer to the sensitive item in a list experiment is different from his or her answer to an analogous direct question.
Authors@R: person("Gregory", "Eady", email = "gregory.eady@gmail.com", role = c("aut", "cre"))
Version: 0.1.0
Depends: R (>= 3.2.0)
Imports: numDeriv (>= 2014.2-1), VGAM (>= 1.0-2), mvtnorm (>= 1.0-5)
Suggests: knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-05 12:56:39 UTC; gregoryeady
Author: Gregory Eady [aut, cre]
Maintainer: Gregory Eady <gregory.eady@gmail.com>
Repository: CRAN
Date/Publication: 2016-12-05 14:49:26

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New package bridger2 with initial version 0.1.0
Package: bridger2
Title: Genome-Wide RNA Degradation Analysis Using BRIC-Seq Data
Version: 0.1.0
Authors@R: person("Naoto", "Imamachi", email = "naoto.imamachi@gmail.com", role = c("aut", "cre"))
Description: BRIC-seq is a genome-wide approach for determining RNA stability in mammalian cells. This package provides a series of functions for performing quality check of your BRIC-seq data, calculation of RNA half-life for each transcript and comparison of RNA half-lives between two conditions.
Depends: R (>= 3.3.1)
Imports: data.table, ggplot2, shiny, shinydashboard, plotly, BSDA, outliers
Suggests: testthat
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-05 11:08:16 UTC; Naoto
Author: Naoto Imamachi [aut, cre]
Maintainer: Naoto Imamachi <naoto.imamachi@gmail.com>
Repository: CRAN
Date/Publication: 2016-12-05 14:49:24

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New package bannerCommenter with initial version 0.1.0
Package: bannerCommenter
Type: Package
Title: Make Banner Comments with a Consistent Format
Version: 0.1.0
Author: Bill Venables <Bill.Venables@gmail.com>
Maintainer: Bill Venables <Bill.Venables@gmail.com>
Description: A convenience package for use while drafting code. It facilitates making stand-out comment lines decorated with bands of characters. The input text strings are converted into R comment lines, suitably formatted. These are then displayed in a console window and, if possible, automatically transferred to a clipboard ready for pasting into an R script. Designed to save time when drafting R scripts that will need to be navigated and maintained by other programmers.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, dplyr, datasets
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-12-05 12:46:58 UTC; bill
Repository: CRAN
Date/Publication: 2016-12-05 14:49:23

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New package stringformattr with initial version 0.1.0
Package: stringformattr
Type: Package
Title: Dynamic String Formatting
Version: 0.1.0
Author: Alexander Hoyle
Maintainer: Alexander <ahoyle@wesleyan.edu>
Description: Pass named and unnamed character vectors into specified positions in strings. This represents an attempt to replicate some of python's string formatting.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Imports: stringr
NeedsCompilation: no
Packaged: 2016-12-04 17:47:19 UTC; Alexander Hoyle
Repository: CRAN
Date/Publication: 2016-12-05 08:27:44

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New package AmmoniaConcentration with initial version 0.1
Package: AmmoniaConcentration
Version: 0.1
Author: Monica Serra <monicaserra.bio04@gmail.com> and Felipe Tumenas Marques <tumenas@gmail.com>
Maintainer: Felipe Tumenas Marques <tumenas@gmail.com>
Title: Un-Ionized Ammonia Concentration
Description: Provides a function to calculate the concentration of un-ionized ammonia in the total ammonia in aqueous solution using the pH and temperature values.
License: MIT + file LICENSE
URL: https://github.com/tumenas/ammonia
NeedsCompilation: no
Packaged: 2016-12-04 18:34:58 UTC; tumenas
Repository: CRAN
Date/Publication: 2016-12-05 08:27:18

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Sun, 04 Dec 2016

New package SISIR with initial version 0.1
Package: SISIR
Type: Package
Title: Sparse Interval Sliced Inverse Regression
Version: 0.1
Date: 2016-12-04
Authors@R: c( person("Victor", "Picheny", , "victor.picheny@inra.fr", c("aut")), person("Remi", "Servien", , "remi.servien@inra.fr", c("aut")), person("Nathalie", "Villa-Vialaneix", , "nathalie.villa-vialaneix@inra.fr", c("aut", "cre")))
Maintainer: Nathalie Villa-Vialaneix <nathalie.villa-vialaneix@inra.fr>
Description: An interval fusion procedure for functional data in the semiparametric framework of SIR. Standard ridge and sparse SIR are also included in the package.
Depends: foreach, doParallel
Imports: Matrix, expm, RSpectra, glmnet
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-04 15:10:52 UTC; nathalie
Author: Victor Picheny [aut], Remi Servien [aut], Nathalie Villa-Vialaneix [aut, cre]
Repository: CRAN
Date/Publication: 2016-12-04 17:29:55

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New package optimization with initial version 1.0-1
Package: optimization
Type: Package
Title: Multi-Purpose Optimization
Version: 1.0-1
Date: 2016-11-28
Author: Kai Husmann and Alexander Lange
Maintainer: Kai Husmann <khusman1@uni-goettingen.de>
Description: Flexible multi-purpose optimizer with numerous input specifications. It allows a very detailed parameterization and is therefore useful for specific and complex loss functions, like functions with discrete parameter space. Visualization tools for validation and analysis of the convergence are also included.
License: GPL (>= 2)
Depends: R (>= 3.2.0), Rcpp (>= 0.12.3)
Imports: colorspace
Packaged: 2016-12-04 10:36:06 UTC; kai
LinkingTo: Rcpp
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-12-04 17:34:58

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New package SkyWatchr with initial version 0.5-0
Package: SkyWatchr
Type: Package
Title: Wrapper for the SkyWatch API
Version: 0.5-0
Date: 2016-12-03
Author: Ali Santacruz, SkyWatch API Developers
Maintainer: Ali Santacruz <amsantac@unal.edu.co>
Description: Query and download satellite imagery and climate/atmospheric datasets using the SkyWatch API. Search datasets by wavelength (band), cloud cover, resolution, location, date, etc. Get the query results as data frame and as HTML. To learn more about the SkyWatch API, see <https://github.com/skywatchspaceapps/api>.
Depends: R (>= 2.14.0), httr, htmlTable, sp, methods
License: GPL (>= 2)
URL: https://github.com/amsantac/SkyWatchr
Encoding: latin1
LazyData: true
NeedsCompilation: no
Packaged: 2016-12-03 17:12:57 UTC; AlÝ
Repository: CRAN
Date/Publication: 2016-12-04 14:52:32

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New package DCM with initial version 0.1.0
Package: DCM
Type: Package
Version: 0.1.0
Date: 2016-12-02
Title: Data Converter Module
Author: Delphi Intelligence
Maintainer: Nery Sofia Huerta-Pacheco <nehuerta@uv.mx>
Depends: R(>= 3.0.0), tcltk, gWidgets
Description: Data Converter Module (DCM) converts the dataset format from split into stack and to the reverse.
Imports: readxl, pander
SystemRequirements: Tcl/Tk package
License: GPL (>= 2)
URL: http://www.uv.mx/personal/nehuerta/dcm/
NeedsCompilation: no
Encoding: UTF-8
RoxygenNote: 5.0.1
Packaged: 2016-12-04 12:44:04 UTC; sofiahuerta
Repository: CRAN
Date/Publication: 2016-12-04 15:05:16

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Sat, 03 Dec 2016

New package rWind with initial version 0.1.3
Package: rWind
Encoding: UTF-8
Type: Package
Title: Download, Edit and Transform Wind Data from GFS
Version: 0.1.3
Date: 2016-11-24
BugReports: http://allthiswasfield.blogspot.com.es/
Author: Javier Fernández-López <jflopez@rjb.csic.es>
Maintainer: Javier Fernández-López <jflopez@rjb.csic.es>
Description: Tools for downloading, editing and transforming wind data from Global Forecast System (GFS, see <https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs>) of the USA's National Weather Service (NWS, see <http://www.weather.gov/>).
URL: http://allthiswasfield.blogspot.com.es/
License: GPL (>= 3)
LazyData: TRUE
Imports: raster, shape
Packaged: 2016-12-03 10:11:08 UTC; root
Depends: R (>= 2.10)
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-12-03 12:19:59

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New package rhnerm with initial version 1.1
Package: rhnerm
Type: Package
Title: Random Heteroscedastic Nested Error Regression
Version: 1.1
Author: Shonosuke Sugasawa
Maintainer: Shonosuke Sugasawa <shonosuke622@gmail.com>
Description: Performs the random heteroscedastic nested error regression model described in Kubokawa, Sugasawa, Ghosh and Chaudhuri (2016) <doi:10.5705/ss.202014.0070>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-12-03 11:48:13 UTC; shonosuke
Repository: CRAN
Date/Publication: 2016-12-03 13:24:59

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New package colf with initial version 0.1.2
Package: colf
Type: Package
Title: Constrained Optimization on Linear Function
Version: 0.1.2
Authors@R: person("Theo", "Boutaris", email = "theo.boutaris@lyzander.com", role = c("aut", "cre", "cph"))
URL: https://github.com/LyzandeR/colf
BugReports: https://github.com/LyzandeR/colf/issues
Depends: R (>= 3.2.0), nlmrt, stats
Description: Performs least squares constrained optimization on a linear objective function. It contains a number of algorithms to choose from and offers a formula syntax similar to lm().
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-12-03 01:09:34 UTC; teoboot
Author: Theo Boutaris [aut, cre, cph]
Maintainer: Theo Boutaris <theo.boutaris@lyzander.com>
Repository: CRAN
Date/Publication: 2016-12-03 12:19:55

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Fri, 02 Dec 2016

New package PepSAVIms with initial version 0.9.0
Package: PepSAVIms
Type: Package
Title: PepSAVI-MS Data Analysis
Version: 0.9.0
Date: 2016-11-30
Authors@R: c( person("Pritchard", "David", email="dpritch@live.unc.edu", role=c("aut", "cre")), person("Kirkpatrick", "Christine", email="ckirkpat@live.unc.edu", role="aut"))
Description: An implementation of the data processing and data analysis portion of a pipeline named the PepSAVI-MS which is currently under development by the Hicks laboratory at the University of North Carolina. The statistical analysis package presented herein provides a collection of software tools used to facilitate the prioritization of putative bioactive peptides from a complex biological matrix. Tools are provided to deconvolute mass spectrometry features into a single representation for each peptide charge state, filter compounds to include only those possibly contributing to the observed bioactivity, and prioritize these remaining compounds for those most likely contributing to each bioactivity data set.
License: CC BY-NC-SA 4.0
LazyData: TRUE
Depends: R (>= 3.0.0)
Suggests: testthat, knitr
Imports: elasticnet
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-02 15:00:07 UTC; dpritch
Author: Pritchard David [aut, cre], Kirkpatrick Christine [aut]
Maintainer: Pritchard David <dpritch@live.unc.edu>
Repository: CRAN
Date/Publication: 2016-12-03 01:34:44

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New package jpndistrict with initial version 0.1.0
Package: jpndistrict
Type: Package
Title: Create Japanese Administration Area and Office Maps
Version: 0.1.0
Authors@R: c(person(given = "Shinya", family = "Uryu", email = "suika1127@gmail.com", role = c("aut", "cre")))
Maintainer: Shinya Uryu <suika1127@gmail.com>
Description: Utilizing the data that Japanese administration area provided by the National Land Numerical Information download service (<http://nlftp.mlit.go.jp/ksj/index.html>).
Depends: R (>= 3.1.0)
Imports: dplyr, geojsonio, ggghost, ggplot2, ggthemes, leaflet, magrittr, miniUI, readr, rgeos, rmapshaper, shiny (>= 0.13), sp, spdplyr, stringi
Suggests: devtools, jpmesh, knitr, rmarkdown, rvest, plotly, purrr, testthat, tidyr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
URL: https://github.com/uribo/jpndistrict
BugReports: https://github.com/uribo/jpndistrict/issues
NeedsCompilation: no
Packaged: 2016-12-02 12:45:39 UTC; uri
Author: Shinya Uryu [aut, cre]
Repository: CRAN
Date/Publication: 2016-12-03 01:32:53

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New package yuimaGUI with initial version 0.9.5
Package: yuimaGUI
Type: Package
Title: A Graphical User Interface for the 'yuima' Package
Version: 0.9.5
Author: YUIMA Project Team
Maintainer: Emanuele Guidotti <emanuele.guidotti@studenti.unimi.it>
Description: Provides a graphical user interface for the 'yuima' package.
License: GPL-2
Depends: R(>= 3.0.0)
Imports: DT (>= 0.2), shinyjs, shiny, shinydashboard, shinyBS, yuima, quantmod, sde, ggplot2
NeedsCompilation: no
Packaged: 2016-12-02 23:13:02 UTC; Emanuele
Repository: CRAN
Date/Publication: 2016-12-03 01:09:16

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New package ggiraphExtra with initial version 0.1.0
Package: ggiraphExtra
Type: Package
Title: Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph'
Version: 0.1.0
Authors@R: person("Keon-Woong", "Moon", email = "cardiomoon@gmail.com", role = c("aut", "cre"))
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>
URL: https://github.com/cardiomoon/ggiraphExtra
Depends: R (>= 2.10)
Imports: ggplot2 (>= 2.2.0), ggiraph (>= 0.3.2), scales, reshape2, plyr, mycor, XML, grid, mgcv, mapproj, moonBook
Suggests: TH.data, maps, gcookbook, knitr, rmarkdown, testthat
Description: Collection of functions to enhance 'ggplot2' and 'ggiraph'. Provides functions for exploratory plots. All plot can be a 'static' plot or an 'interactive' plot using 'ggiraph'.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-12-02 23:40:11 UTC; cardiomoon
Author: Keon-Woong Moon [aut, cre]
Repository: CRAN
Date/Publication: 2016-12-03 01:11:47

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New package EFAutilities with initial version 0.1.0
Package: EFAutilities
Type: Package
Title: Utility Functions for Exploratory Factor Analysis
Version: 0.1.0
Date: 2016-11-27
Author: Guangjian Zhang, Ge Jiang, Minami Hattori, Lauren Trichtinger
Maintainer: Guangjian Zhang <gzhang3@nd.edu>
Depends: R (>= 2.10)
Description: A number of utility function for exploratory factor analysis are included in this package. In particular, it computes standard errors for parameter estimates and factor correlations under a variety of conditions.
License: GPL-2
LazyLoad: yes
Imports: GPArotation, mvtnorm
Packaged: 2016-12-02 21:54:30 UTC; ltrichti
RoxygenNote: 5.0.1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-12-03 01:11:01

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New package BNPMIXcluster with initial version 0.1.0
Package: BNPMIXcluster
Type: Package
Title: Bayesian Nonparametric Model for Clustering with Mixed Scale Variables
Version: 0.1.0
Authors@R: c(person("Christian", "Carmona", role = c("aut", "cre"), email = "carmona@stats.ox.ac.uk"), person("Luis", "Nieto-Barajas", role = "aut", email = " lnieto@itam.mx"), person("Antonio", "Canale", role = "ctb", email = "antonio.canale@unito.it") )
Description: Bayesian nonparametric approach for clustering that is capable to combine different types of variables (continuous, ordinal and nominal) and also accommodates for different sampling probabilities in a complex survey design. The model is based on a location mixture model with a Poisson-Dirichlet process prior on the location parameters of the associated latent variables. The package performs the clustering model described in Carmona, C., Nieto-Barajas, L. E., Canale, A. (2016) <http://arxiv.org/abs/1612.00083>.
License: GPL
LazyData: TRUE
Depends: R (>= 2.10)
Imports: matrixcalc, truncnorm, mvtnorm, plyr, MASS
RoxygenNote: 5.0.1
Suggests: scatterplot3d
NeedsCompilation: no
Packaged: 2016-12-02 11:54:42 UTC; Chris
Author: Christian Carmona [aut, cre], Luis Nieto-Barajas [aut], Antonio Canale [ctb]
Maintainer: Christian Carmona <carmona@stats.ox.ac.uk>
Repository: CRAN
Date/Publication: 2016-12-03 01:26:20

More information about BNPMIXcluster at CRAN
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New package AMModels with initial version 0.1
Package: AMModels
Type: Package
Title: Adaptive Management Model Manager
Version: 0.1
Date: 2016-12-01
Author: Therese Donovan <tdonovan@uvm.edu>, Jon Katz <jonkatz4@gmail.com>
Maintainer: Jon Katz <jonkatz4@gmail.com>
Description: Helps enable adaptive management by codifying knowledge in the form of models generated from numerous analyses and data sets. Facilitates this process by storing all models and data sets in a single object that can be updated and saved, thus tracking changes in knowledge through time. A shiny application called AM Model Manager (modelMgr()) enables the use of these functions via a GUI.
License: GPL-3
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at http://www.usgs.gov/visual-id/ credit_usgs.html#copyright. This software is in the public domain because it contains materials that originally came from the U.S. Geological Survey, an agency of the United States Department of Interior. Although this software program has been used by the U.S. Geological Survey (USGS), no warranty, expressed or implied, is made by the USGS or the U.S. Government as to the accuracy and functioning of the program and related program material nor shall the fact of distribution constitute any such warranty, and no responsibility is assumed by the USGS in connection therewith. This software is provided "AS IS."
Encoding: UTF-8
Imports: methods
Suggests: shiny, shinyBS, knitr, unmarked, AICcmodavg
RoxygenNote: 5.0.1
Collate: 'AMModels-package.R' 'amData.R' 'amModel.R' 'amModelLib.R' 'classes.R' 'getAMModelLib.R' 'getters.R' 'insertAMModelLib.R' 'ls.R' 'metaSummary.R' 'methods-amModel.R' 'methods-amModelLib.R' 'modelMgr.R' 'rmModelsData.R' 'simCovariate.R'
NeedsCompilation: no
Packaged: 2016-12-02 17:19:46 UTC; jon
Repository: CRAN
Date/Publication: 2016-12-03 01:09:17

More information about AMModels at CRAN
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New package bea.R with initial version 1.0.0
Package: bea.R
Title: Bureau of Economic Analysis API
Version: 1.0.0
Authors@R: c(person("Andrea", "Julca", role = c("aut", "cre"), email = c("Andrea.Julca@bea.gov")), person("Jeff", "Chen", role = "ctb"), person("Walt", "Kampas", role = "ctb"))
Author: Andrea Julca [aut, cre], Jeff Chen [ctb], Walt Kampas [ctb]
Depends: R (>= 3.2.1), data.table
Imports: httr, DT, shiny, jsonlite, googleVis, shinydashboard, ggplot2, stringr, chron, gtable, scales, htmltools, httpuv, xtable, stringi, magrittr, htmlwidgets, Rcpp, munsell, colorspace, plyr, yaml
Description: Provides an R interface for the Bureau of Economic Analysis (BEA) API (see <http://www.bea.gov/API/bea_web_service_api_user_guide.htm> for more information) that serves two core purposes - 1. To Extract/Transform/Load data [beaGet()] from the BEA API as R-friendly formats in the user's work space [transformation done by default in beaGet() can be modified using optional parameters; see, too, bea2List(), bea2Tab()]. 2. To enable the search of descriptive meta data [beaSearch()]. Other features of the library exist mainly as intermediate methods or are in early stages of development. Important Note - You must have an API key to use this library. Register for a key at <http://www.bea.gov/API/signup/index.cfm> .
URL: https://github.com/us-bea/beaR
License: CC0
LazyData: no
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-02 21:56:55 UTC; ODACJ1
Maintainer: Andrea Julca <Andrea.Julca@bea.gov>
Repository: CRAN
Date/Publication: 2016-12-02 23:20:28

More information about bea.R at CRAN
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New package vkR with initial version 0.1
Package: vkR
Type: Package
Title: Access to VK API via R
Description: Provides an interface to the VK API <https://vk.com/dev/methods>. VK <https://vk.com/> is the largest European online social networking service, based in Russia.
Version: 0.1
Date: 2016-12-01
Authors@R: c( person("Dmitriy", "Sorokin", role = c("aut", "cre"), email = "dementiy@yandex.ru"), person("Anton", "Antonov", role = "ctb", email = "tonytonov@gmail.com"))
Maintainer: Dmitriy Sorokin <dementiy@yandex.ru>
URL: https://github.com/Dementiy/vkR
BugReports: https://github.com/Dementiy/vkR/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.0)
Imports: graphics, httr, jsonlite, stats, utils, XML
Suggests: stringr, tm, plyr, dplyr, reshape2, jpeg, igraph, rgexf, httpuv
RoxygenNote: 5.0.1
Collate: 'auth.R' 'database.R' 'friends.R' 'groups.R' 'igraph_gefx_exporter.R' 'likes.R' 'messages.R' 'network.R' 'queries.R' 'status.R' 'search.R' 'users.R' 'utils.R' 'wall.R' 'vkR.R'
NeedsCompilation: no
Packaged: 2016-12-01 23:45:48 UTC; dementiy
Author: Dmitriy Sorokin [aut, cre], Anton Antonov [ctb]
Repository: CRAN
Date/Publication: 2016-12-02 10:46:29

More information about vkR at CRAN
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New package scatterpie with initial version 0.0.5
Package: scatterpie
Title: Scatterpie Plot
Version: 0.0.5
Authors@R: person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre"))
Description: Creates scatterpie plots, especially useful for plotting pies on a map.
Depends: R (>= 3.3.0)
Imports: ggforce, ggplot2, tidyr, utils
Suggests: knitr, prettydoc, maps
VignetteBuilder: knitr
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-02 01:44:24 UTC; guangchuangyu
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2016-12-02 10:46:28

More information about scatterpie at CRAN
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New package FactoRizationMachines with initial version 0.1
Package: FactoRizationMachines
Type: Package
Title: Machine Learning with Higher-Order Factorization Machines
Version: 0.1
Date: 2016-12-01
Author: Julian Knoll
Maintainer: Julian Knoll <julian.knoll@th-nuernberg.de>
Description: Implementation of three machine learning approaches: Support Vector Machines (SVM) with a linear kernel, second-order Factorization Machines (FM), and higher-order Factorization Machines (HoFM).
License: CC BY-NC-ND 4.0
Imports: Rcpp (>= 0.12.1), methods, Matrix
LinkingTo: Rcpp
Suggests: MASS
NeedsCompilation: yes
Packaged: 2016-12-01 21:23:31 UTC; Administrator
Repository: CRAN
Date/Publication: 2016-12-02 10:46:20

More information about FactoRizationMachines at CRAN
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New package ClimDown with initial version 1.0.2
Package: ClimDown
Version: 1.0.2
Date: 2016-12-01
Title: Climate Downscaling Library for Daily Climate Model Output
Authors@R: c(person("Alex Cannon", role = "aut", email = "acannon@uvic.ca"), person("James Hiebert", role = c("aut", "cre"), email = "hiebert@uvic.ca"), person("Arelia Werner", role = "aut", email = "wernera@uvic.ca"), person("Steven Sobie", role = "aut", email = "ssobie@uvic.ca"))
Imports: PCICt, udunits2, ncdf4, fields, foreach, seas, abind, stats
Suggests: RUnit
Encoding: UTF-8
Description: A suite of routines for downscaling coarse scale global climate model (GCM) output to a fine spatial resolution. Includes Bias-Corrected Spatial Downscaling (BCDS), Constructed Analogues (CA), Climate Imprint (CI), and Bias Correction/Constructed Analogues with Quantile mapping reordering (BCCAQ). Developed by the the Pacific Climate Impacts Consortium (PCIC), Victoria, British Columbia, Canada.
License: GPL-3
URL: https://www.r-project.org
LazyData: yes
BugReports: https://github.com/pacificclimate/ClimDown
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-02 00:54:49 UTC; james
Author: Alex Cannon [aut], James Hiebert [aut, cre], Arelia Werner [aut], Steven Sobie [aut]
Maintainer: James Hiebert <hiebert@uvic.ca>
Repository: CRAN
Date/Publication: 2016-12-02 10:46:19

More information about ClimDown at CRAN
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Thu, 01 Dec 2016

New package prioritizr with initial version 0.1.2
Package: prioritizr
Type: Package
Title: Systematic Conservation Prioritization in R
Version: 0.1.2
Date: 2016-11-15
Authors@R: person("Matthew", "Strimas-Mackey", email="mstrimas@gmail.com", role = c("aut", "cre"))
Description: Solve systematic reserve design problems using integer programming techniques. To solve problems most efficiently users can install three optional packages not available on CRAN: the 'gurobi' optimizer (available from <http://www.gurobi.com/>) and the conservation prioritization package 'marxan' (available from <https://github.com/jeffreyhanson/marxan>).
Depends: R (>= 3.1.2)
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 5.0.1
Imports: assertthat, sp, raster, slam, dplyr, gstat, rgeos, rasterVis, methods, tidyr
Suggests: marxan, gurobi, lpsymphony, Rsymphony, knitr, rmarkdown, glpkAPI, testthat
URL: https://github.com/mstrimas/prioritizr
BugReports: https://github.com/mstrimas/prioritizr/issues
VignetteBuilder: knitr
Maintainer: Matthew Strimas-Mackey <mstrimas@gmail.com>
NeedsCompilation: no
Packaged: 2016-12-01 19:15:28 UTC; matt
Author: Matthew Strimas-Mackey [aut, cre]
Repository: CRAN
Date/Publication: 2016-12-01 21:32:43

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New package imagine with initial version 1.1.0
Package: imagine
Type: Package
Title: Imaging Engine, Tools for Application of Image Filters to Data Matrices
Version: 1.1.0
Date: 2016-09-24
URL: https://github.com/LuisLauM/imagine
BugReports: https://github.com/LuisLauM/imagine/issues
Authors@R: c(person("Wencheng", "Lau-Medrano", role = c("aut", "cre"), email = "luis.laum@gmail.com"))
Maintainer: Wencheng Lau-Medrano <luis.laum@gmail.com>
Description: Provides fast application of image filters to data matrices, using R and C++ algorithms.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.2.0)
Imports: Rcpp
LinkingTo: Rcpp
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-12-01 19:43:51 UTC; AFDERP
Author: Wencheng Lau-Medrano [aut, cre]
Repository: CRAN
Date/Publication: 2016-12-01 21:32:42

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New package gbs2ploidy with initial version 1.0
Package: gbs2ploidy
Type: Package
Title: Inference of Ploidy from (Genotyping-by-Sequencing) GBS Data
Version: 1.0
Date: 2016-12-01
Author: Zachariah Gompert
Maintainer: Zachariah Gompert <zach.gompert@usu.edu>
Depends: R (>= 2.10), MASS, rjags
Description: Functions for inference of ploidy from (Genotyping-by-sequencing) GBS data, including a function to infer allelic ratios and allelic proportions in a Bayesian framework.
License: GPL-3
NeedsCompilation: no
Packaged: 2016-12-01 19:46:38 UTC; zgompert
Repository: CRAN
Date/Publication: 2016-12-01 21:32:40

More information about gbs2ploidy at CRAN
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New package freqdist with initial version 0.1
Package: freqdist
Type: Package
Title: Frequency Distribution
Version: 0.1
Author: Thomas Feldman <tfeldma@siue.edu> and Kenneth W. Moffett <kmoffet@siue.edu>
Maintainer: Kenneth W. Moffett <kmoffet@siue.edu>
Description: Generates a frequency distribution. The frequency distribution includes raw frequencies, percentages in each category, and cumulative frequencies. The frequency distribution can be stored as a data frame.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-01 14:43:24 UTC; taxns
Repository: CRAN
Date/Publication: 2016-12-01 22:33:06

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New package FixSeqMTP with initial version 0.1.0
Package: FixSeqMTP
Type: Package
Title: Fixed Sequence Multiple Testing Procedures
Version: 0.1.0
Suggests: multxpert, multcomp, MHTdiscrete
Author: Yalin Zhu, Wenge Guo
Maintainer: Yalin Zhu <yalin.zhu@outlook.com>
BugReports: https://github.com/allenzhuaz/FixSeqMTP/issues
Description: Generalized Fixed Sequence Multiple Testing Procedures (g-FSMTPs) are used to test a sequence of pre- ordered hypotheses. The proposed three Family-wise Error Rate (FWER) controlling g-FSMTPs utilize numbers of rejections and acceptances, all the procedures are designed under arbitrary dependence. The proposed two False Discovery Rate (FDR) controlling g-FSMTPs allows more but a given number of acceptances (k>=1), the procedures are designed for arbitrary dependence and independence. The main functions for each proposed g-FSMTPs are designed to calculate adjusted p-values and critical values, respectively. For users' convenience, the output results also include the option of decision rules for convenience.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-12-01 16:49:46 UTC; kaijingzhang
Repository: CRAN
Date/Publication: 2016-12-01 19:44:22

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New package deconvolveR with initial version 1.0-3
Package: deconvolveR
Title: Empirical Bayes Estimation Strategies
Version: 1.0-3
VignetteBuilder: knitr
Suggests: cowplot, ggplot2, knitr, rmarkdown
Authors@R: c(person("Bradley", "Efron", role=c("aut"), email = "brad@stat.stanford.edu"), person("Balasubramanian", "Narasimhan", role=c("aut", "cre"), email = "naras@stat.Stanford.EDU"))
Description: Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution (g) has yielded (unobservable) parameters, each of which produces a data point from a parametric exponential family (f). The goal is to estimate the unknown prior ("g-modeling") by deconvolution and Empirical Bayes methods.
URL: http://github.com/bnaras/deconvolveR
BugReports: http://github.com/bnaras/deconvolveR/issues
Depends: R (>= 3.0)
License: GPL (>= 2)
LazyData: true
Imports: splines, stats
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-01 15:05:17 UTC; naras
Author: Bradley Efron [aut], Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>
Repository: CRAN
Date/Publication: 2016-12-01 19:44:32

More information about deconvolveR at CRAN
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New package rxSeq with initial version 0.99.3
Package: rxSeq
Type: Package
Title: Combined Total and Allele Specific Reads Sequencing Study
Version: 0.99.3
Date: 2016-11-30
Authors@R: c(person("Vasyl Zhabotynsky", role = c("aut", "cre"), email = "vasyl@unc.edu"), person("Wei Sun", role = "aut"), person("Fei Zou", role = "aut"))
Author: Vasyl Zhabotynsky [aut, cre], Wei Sun [aut], Fei Zou [aut]
Maintainer: Vasyl Zhabotynsky <vasyl@unc.edu>
Description: Analysis of combined total and allele specific reads from the reciprocal cross study with RNA-seq data.
Depends: MASS,VGAM,numDeriv
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-12-01 09:33:06 UTC; zhabotyn
Repository: CRAN
Date/Publication: 2016-12-01 12:45:14

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New package RWildbook with initial version 0.9
Package: RWildbook
Type: Package
Title: Interface for the 'Wildbook' Wildlife Data Management Framework
Version: 0.9
Date: 2016-11-26
Author: c(person("Simon", "Bonner", email = "sbonner6@uwo.ca", role = c("aut")),person("Xinxin", "Huang", email = "xhuan63@uwo.ca", role = c("aut","cre")))
Maintainer: Simon Bonner <sbonner6@uwo.ca>
Description: Provides an R interface with the 'Wildbook' mark-recapture ecological database framework. It helps users to pull data from the 'Wildbook' framework and format data for further analysis with mark-recapture applications like 'Program MARK' (which can be accessed via the 'RMark' package in 'R'). Further information on the 'Wildbook' framework is available at: <http://www.wildbook.org/doku.php>.
License: GPL (>= 2)
Depends: R (>= 3.0.0), jsonlite, data.table, utils
Imports: marked
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-12-01 03:33:50 UTC; sbonner
Repository: CRAN
Date/Publication: 2016-12-01 08:28:18

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New package cstab with initial version 0.2
Package: cstab
Type: Package
Title: Selection of Number of Clusters via Normalized Clustering Instability
Version: 0.2
Date: 2016-11-30
Author: Jonas Haslbeck, Dirk U. Wulff
Maintainer: Jonas Haslbeck <jonas.haslbeck@gmail.com>
Description: Selection of the number of clusters in cluster analysis using stability methods.
BugReports: https://github.com/jmbh/cstab/issues
License: GPL (>= 2)
Depends: R (>= 3.1.0), Rcpp (>= 0.11.4)
Imports: cluster, fastcluster,
LinkingTo: Rcpp
RoxygenNote: 5.0.1
LazyData: true
NeedsCompilation: yes
Packaged: 2016-11-30 20:37:01 UTC; jmb
Repository: CRAN
Date/Publication: 2016-12-01 08:28:29

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Wed, 30 Nov 2016

New package repeated with initial version 1.1.0
Package: repeated
Version: 1.1.0
Title: Non-Normal Repeated Measurements Models
Authors@R: c( person("Bruce", "Swihart", email="bruce.swihart@gmail.com", role=c("cre", "aut")), person("Jim" , "Lindsey", email="jlindsey@gen.unimaas.nl", role="aut", comment="Jim created this package, Bruce is maintaining the CRAN version"), person("T.R.", "Ten Have", role=c("ctb", "cph"), comment="Wrote Logit_bin_nest.f90 (in binnest.f)."), person("Richard", "Cook", role=c("ctb", "cph"), comment="Wrote calcs.c, calcs.h, calcs1.c, calcs1.h, calcs2.c, calcs2.h, calcs3.c, calcs3.h, calcs4.c, calcs4.h; defs.h; gaps.c, gaps.h."), person("Iain", "MacDonald", role=c("ctb", "cph"), comment="Wrote chidden.f, cphidden.f, hidden.f."), person("Walter", "Zucchini", role=c("ctb", "cph"), comment="Wrote chidden.f, cphidden.f, hidden.f."), person("Burton", "Garbow", role=c("ctb", "cph"), comment="Wrote eigen.f."), person("Euginia", "Zharichenko", role=c("ctb", "cph"), comment="Wrote logitord.f.") )
Depends: R (>= 1.4), rmutil
Description: Various functions to fit models for non-normal repeated measurements.
License: GPL-2
URL: http://www.commanster.eu/rcode.html
BugReports: https:/github.com/swihart/repeated/issues
Encoding: UTF-8
LazyData: true
LazyLoad: true
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-11-30 16:25:55 UTC; swihartbj
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] (Jim created this package, Bruce is maintaining the CRAN version), T.R. Ten Have [ctb, cph] (Wrote Logit_bin_nest.f90 (in binnest.f).), Richard Cook [ctb, cph] (Wrote calcs.c, calcs.h, calcs1.c, calcs1.h, calcs2.c, calcs2.h, calcs3.c, calcs3.h, calcs4.c, calcs4.h; defs.h; gaps.c, gaps.h.), Iain MacDonald [ctb, cph] (Wrote chidden.f, cphidden.f, hidden.f.), Walter Zucchini [ctb, cph] (Wrote chidden.f, cphidden.f, hidden.f.), Burton Garbow [ctb, cph] (Wrote eigen.f.), Euginia Zharichenko [ctb, cph] (Wrote logitord.f.)
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>
Repository: CRAN
Date/Publication: 2016-11-30 18:31:24

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New package ramcmc with initial version 0.1.0
Package: ramcmc
Title: Robust Adaptive Metropolis Algorithm
Version: 0.1.0
Date: 2016-11-30
Author: Jouni Helske
Maintainer: Jouni Helske <jouni.helske@jyu.fi>
Description: Function for adapting the shape of the random walk Metropolis proposal as specified by robust adaptive Metropolis algorithm by Vihola (2012) <DOI:10.1007/s11222-011-9269-5>. Package also includes fast functions for rank-one Cholesky update and downdate. These functions can be used directly from R or the corresponding C++ header files can be easily linked to other R packages.
License: GPL (>= 2)
BugReports: https://github.com/helske/ramcmc/issues
Suggests: testthat, knitr
Imports: Rcpp (>= 0.12.8)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-11-30 14:34:03 UTC; OMISTAJA
Repository: CRAN
Date/Publication: 2016-11-30 16:28:53

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New package camsRad with initial version 0.3.0
Package: camsRad
Type: Package
Title: Client for CAMS Radiation Service
Version: 0.3.0
Authors@R: person("Lukas", "Lundstrom", email = "lukas.rokka@gmail.com", role = c("aut", "cre"))
Maintainer: Lukas Lundstrom <lukas.rokka@gmail.com>
Description: Copernicus Atmosphere Monitoring Service (CAMS) radiations service provides time series of global, direct, and diffuse irradiations on horizontal surface, and direct irradiation on normal plane for the actual weather conditions as well as for clear-sky conditions. The geographical coverage is the field-of-view of the Meteosat satellite, roughly speaking Europe, Africa, Atlantic Ocean, Middle East. The time coverage of data is from 2004-02-01 up to 2 days ago. Data are available with a time step ranging from 15 min to 1 month. For license terms and to create an account, please see <http://www.soda-pro.com/web-services/radiation/cams-radiation-service>.
License: MIT + file LICENSE
Depends: R (>= 3.1.0)
Imports: httr (>= 1.2.1), xml2 (>= 1.0.0)
Suggests: ncdf4, roxygen2, knitr, testthat, rmarkdown
URL: https://github.com/ropenscilabs/camsRad
BugReports: https://github.com/ropenscilabs/camsRad/issues
LazyData: TRUE
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-11-30 14:03:24 UTC; luklun
Author: Lukas Lundstrom [aut, cre]
Repository: CRAN
Date/Publication: 2016-11-30 16:28:49

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New package BiBitR with initial version 0.1.0
Package: BiBitR
Type: Package
Title: R Wrapper for Java Implementation of BiBit
Version: 0.1.0
Date: 2016-11-30
Author: De Troyer Ewoud
Maintainer: De Troyer Ewoud <ewoud.detroyer@uhasselt.be>
Description: A simple R wrapper for the Java BiBit algorithm from "A biclustering algorithm for extracting bit-patterns from binary datasets" from Domingo et al. (2011) <DOI:10.1093/bioinformatics/btr464>. An adaption for the BiBit algorithm which allows noise in the biclusters is also included.
License: GPL-3
Imports: foreign,methods,utils, biclust
RoxygenNote: 5.0.1
SystemRequirements: Java
NeedsCompilation: no
Packaged: 2016-11-30 14:43:21 UTC; lucp8394
Repository: CRAN
Date/Publication: 2016-11-30 16:28:44

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New package nomogramEx with initial version 1.0
Package: nomogramEx
Type: Package
Title: Extract Equations from a Nomogram
Version: 1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: A nomogram can not be easily applied, because it is difficult to calculate the points or even the survival probability. The package, including a function of nomogramEx(), is to extract the polynomial equations to calculate the points of each variable, and the survival probability corresponding to the total points.
License: GPL-3
Depends: R (>= 3.3.2)
Imports: pracma, rms
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-11-30 12:26:04 UTC; dzc
Repository: CRAN
Date/Publication: 2016-11-30 14:55:23

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New package enviGCMS with initial version 0.1.1
Package: enviGCMS
Type: Package
Title: GC-MS Data Analysis for Environmental Science
Version: 0.1.1
Date: 2016-11-28
Authors@R: person("Miao","YU", email = "yufreecas@gmail.com", role = c("aut", "cre"))
Maintainer: Miao YU <yufreecas@gmail.com>
Description: Gas Chromatography-Mass Spectrometer(GC-MS) Data Analysis for Environmental Science. This package covered topics such as raw data process, molecular isotope ratio, matrix effects, etc. in environmental analysis.
URL: https://github.com/yufree/enviGCMS
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
biocViews:
Imports: xcms, rcdk, mixtools
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-30 13:12:39 UTC; yufree
Author: Miao YU [aut, cre]
Repository: CRAN
Date/Publication: 2016-11-30 14:55:19

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New package ggguitar with initial version 0.1.0
Package: ggguitar
Type: Package
Title: Utilities for Creating Guitar Tablature
Version: 0.1.0
Authors@R: person("Casimir", "Saternos", email="cas.saternos@gmail.com", role = c('aut','cre'))
Maintainer: Casimir Saternos <cas.saternos@gmail.com>
Description: Utilities for Creating Guitar Tablature using tidyverse packages.
License: MIT + file LICENSE
LazyData: TRUE
BugReports: https://github.com/ezgraphs/ggguitar/issues
Imports: dplyr, ggplot2, gridExtra, readr, tibble
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-11-29 18:03:25 UTC; cs
Author: Casimir Saternos [aut, cre]
Repository: CRAN
Date/Publication: 2016-11-30 09:10:56

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Tue, 29 Nov 2016

New package testassay with initial version 0.1.0
Package: testassay
Type: Package
Title: A Hypothesis Testing Framework for Validating an Assay for Precision
Version: 0.1.0
Author: Michael C Sachs and Michael P Fay
Maintainer: Michael C Sachs <sachsmc@gmail.com>
Description: A common way of validating a biological assay for is through a procedure, where m levels of an analyte are measured with n replicates at each level, and if all m estimates of the coefficient of variation (CV) are less than some prespecified level, then the assay is declared validated for precision within the range of the m analyte levels. Two limitations of this procedure are: there is no clear statistical statement of precision upon passing, and it is unclear how to modify the procedure for assays with constant standard deviation. We provide tools to convert such a procedure into a set of m hypothesis tests. This reframing motivates the m:n:q procedure, which upon completion delivers a 100q% upper confidence limit on the CV. Additionally, for a post-validation assay output of y, the method gives an ``effective standard deviation interval'' of log(y) plus or minus r, which is a 68% confidence interval on log(mu), where mu is the expected value of the assay output for that sample. Further, the m:n:q procedure can be straightforwardly applied to constant standard deviation assays. We illustrate these tools by applying them to a growth inhibition assay.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, ggplot2, dplyr
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-29 14:31:42 UTC; micsac
Repository: CRAN
Date/Publication: 2016-11-29 18:10:38

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New package Przewodnik with initial version 0.16.12
Package: Przewodnik
Title: Datasets and Functions Used in the Book 'Przewodnik po Pakiecie R'
Version: 0.16.12
Authors@R: person("Przemyslaw", "Biecek", role = c("aut", "cre"), email = "przemyslaw.biecek@gmail.com")
Description: Data sets and functions used in the polish book "Przewodnik po pakiecie R" (The Hitchhiker's Guide to the R). See more at <http://biecek.pl/R>. Among others you will find here data about housing prices, cancer patients, running times and many others.
Depends: R (>= 3.0.0), PogromcyDanych, PBImisc
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-29 08:59:01 UTC; pbiecek
Author: Przemyslaw Biecek [aut, cre]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Repository: CRAN
Date/Publication: 2016-11-29 12:43:44

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New package effectFusion with initial version 1.0
Package: effectFusion
Title: Bayesian Effect Fusion for Categorical Predictors
Version: 1.0
Date: 2016-11-21
Author: Daniela Pauger [aut, cre], Helga Wagner [aut], Gertraud Malsiner-Walli [aut]
Maintainer: Daniela Pauger <daniela.pauger@jku.at>
Description: Variable selection and Bayesian effect fusion for categorical predictors in linear regression models. Effect fusion aims at the question which categories have a similar effect on the response and therefore can be fused to obtain a sparser representation of the model. Effect fusion and variable selection can be obtained either with a prior that has an interpretation as spike and slab prior on the level effect differences or with a sparse finite mixture prior on the level effects. The regression coefficients are estimated with a flat uninformative prior after model selection or model averaged. For posterior inference, an MCMC sampling scheme is used that involves only Gibbs sampling steps.
Depends: R (>= 3.3.1)
License: GPL-3
Imports: Matrix, MASS, bayesm, cluster, ggplot2, utils, stats
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-29 08:46:14 UTC; AK115491
Repository: CRAN
Date/Publication: 2016-11-29 12:43:49

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New package tsdisagg2 with initial version 0.1.0
Package: tsdisagg2
Type: Package
Title: Time Series Disaggregation
Version: 0.1.0
Author: Jorge Vieira <jorgealexandrevieira@gmail.com>
Maintainer: Jorge Vieira <jorgealexandrevieira@gmail.com>
Description: Disaggregates low frequency time series data to higher frequency series. Implements the following methods for temporal disaggregation: Boot, Feibes and Lisman (1967) <DOI:10.2307/2985238>, Chow and Lin (1971) <DOI:10.2307/1928739>, Fernandez (1981) <DOI:10.2307/1924371> and Litterman (1983) <DOI:10.2307/1391858>.
Depends: R (>= 3.1)
License: GPL (>= 2)
RoxygenNote: 5.0.1
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2016-11-28 19:46:19 UTC; Jorge
Repository: CRAN
Date/Publication: 2016-11-29 08:10:07

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New package subprocess with initial version 0.7.4
Package: subprocess
Type: Package
Title: Manage Sub-Processes in R
Version: 0.7.4
Authors@R: person("Lukasz", "Bartnik", email = "l.bartnik@gmail.com", role = c("aut", "cre"))
Description: Create and handle multiple sub-processes in R, exchange data over standard input and output streams, control their life cycle.
License: MIT + file LICENSE
URL: https://github.com/lbartnik/subprocess
BugReports: https://github.com/lbartnik/subprocess/issues
Suggests: mockery, testthat, knitr, rmarkdown (>= 1.0)
Collate: 'package.R' 'readwrite.R' 'signals.R' 'subprocess.R' 'utils.R'
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-11-28 17:43:56 UTC; lukasz
Author: Lukasz Bartnik [aut, cre]
Maintainer: Lukasz Bartnik <l.bartnik@gmail.com>
Repository: CRAN
Date/Publication: 2016-11-29 08:10:06

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New package listdtr with initial version 1.0
Package: listdtr
Type: Package
Title: List-Based Rules for Dynamic Treatment Regimes
Version: 1.0
Date: 2016-11-20
Author: Yichi Zhang
Maintainer: Yichi Zhang <yzhang52@ncsu.edu>
Description: Construction of list-based rules, i.e. a list of if-then clauses, to estimate the optimal dynamic treatment regime.
License: GPL (>= 2)
Depends: ggplot2, grid
NeedsCompilation: yes
Packaged: 2016-11-28 23:30:08 UTC; Yichi
Repository: CRAN
Date/Publication: 2016-11-29 08:10:03

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New package fastHorseshoe with initial version 0.1.0
Package: fastHorseshoe
Type: Package
Title: The Elliptical Slice Sampler for Bayesian Horseshoe Regression
Version: 0.1.0
Date: 2016-11-22
Author: P. Richard Hahn, Jingyu He and Hedibert Lopes
Maintainer: Jingyu He <jingyu.he@chicagobooth.edu>
Description: The elliptical slice sampler for Bayesian shrinkage linear regression, such as horseshoe, double-exponential and user specific priors.
License: LGPL (>= 2)
Imports: Rcpp (>= 0.12.7)
SystemRequirements: A C++11 compiler.
Depends: R (>= 2.10), lars(>= 1.2)
URL: http://jingyuhe.com/software.html
NeedsCompilation: yes
LinkingTo: Rcpp, RcppArmadillo
Packaged: 2016-11-28 17:21:47 UTC; jingyu
Repository: CRAN
Date/Publication: 2016-11-29 08:10:00

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New package datapasta with initial version 1.0.0
Package: datapasta
Title: RStudio Addins for Data Copy-Pasta
Version: 1.0.0
Authors@R: person("Miles", "McBain", email = "miles.mcbain@gmail.com", role = c("aut", "cre"))
Description: Three RStudio addins to make copy-pasting vectors and tables into source painless.
Depends: R (>= 3.3.0)
Suggests: tibble (>= 1.2), testthat, knitr, rmarkdown
Imports: readr (>= 1.0.0), clipr (>= 0.3.0), rstudioapi (>= 0.6)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-11-29 02:17:23 UTC; mcbainm
Author: Miles McBain [aut, cre]
Maintainer: Miles McBain <miles.mcbain@gmail.com>
Repository: CRAN
Date/Publication: 2016-11-29 08:09:57

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Mon, 28 Nov 2016

New package rtrim with initial version 1.0.1
Package: rtrim
Author: Patrick Bogaart, Mark van der Loo, and Jeroen Pannekoek
Maintainer: Adriaan Gmelig Meyling <rtrim@cbs.nl>
License: EUPL
Title: Trends and Indices for Monitoring Data
LazyData: no
Type: Package
LazyLoad: yes
Description: The TRIM model is widely used for estimating growth and decline of animal populations based on (possibly sparsely available) count data. The current package is a reimplementation of the original TRIM software developed at Statistics Netherlands by Jeroen Pannekoek. See <https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends--trim--> for more information about TRIM.
Version: 1.0.1
Imports: methods, utils, stats, graphics, grDevices
URL: https://github.com/markvanderloo/rtrim
BugReports: https://github.com/markvanderloo/rtrim/issues
Date: 2016-11-21
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-11-28 12:34:42 UTC; mark
Repository: CRAN
Date/Publication: 2016-11-28 16:54:05

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New package CVD with initial version 1.0.2
Package: CVD
Type: Package
Title: Color Vision Deficiencies
Version: 1.0.2
Encoding: UTF-8
Authors@R: c(person(given = "Jose", family = "Gama", role = c("aut","cre","trl"),email = "rxprtgama@gmail.com"), person(given = "Brian", family = "Foutch", role = "ctb"), person(given = "Mark", family = "Grundland", role = "ctb"), person(given = "Neil", family = "Dodgson", role = "ctb"))
Description: Methods for color vision deficiencies (CVD), to help understanding and mitigating issues with CVDs and to generate tests for diagnosis and interpretation.
License: GPL (>= 3)
Depends: R (>= 2.10)
Enhances: png, gWidgets2, RGtk2
LazyData: yes
Author: Jose Gama [aut, cre, trl], Brian Foutch [ctb], Mark Grundland [ctb], Neil Dodgson [ctb]
Maintainer: Jose Gama <rxprtgama@gmail.com>
Repository: CRAN
Repository/R-Forge/Project: cvd
Repository/R-Forge/Revision: 16
Repository/R-Forge/DateTimeStamp: 2016-11-28 09:01:48
Date/Publication: 2016-11-28 13:23:17
NeedsCompilation: no
Packaged: 2016-11-28 09:06:04 UTC; rforge

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New package esaddle with initial version 0.0.2
Package: esaddle
Type: Package
Title: Extended Empirical Saddlepoint Density Approximation
Version: 0.0.2
Date: 2016-11-25
Author: Matteo Fasiolo and Simon Wood
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>
Description: Tools for fitting the Extended Empirical Saddlepoint (EES) density.
License: GPL (>= 2)
URL: https://github.com/mfasiolo/esaddle
Imports: Rcpp (>= 0.10.4), compiler, stats, graphics, parallel, plyr, doSNOW, mvnfast
Suggests: knitr, testthat
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-11-25 18:22:16 UTC; teo
Repository: CRAN
Date/Publication: 2016-11-28 13:04:38

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Sun, 27 Nov 2016

New package diffusr with initial version 0.1.0
Package: diffusr
Type: Package
Title: Network Diffusion Algorithms
Version: 0.1.0
Authors@R: person("Simon", "Dirmeier", email = "simon.dirmeier@gmx.de", role = c("aut", "cre"))
Maintainer: Simon Dirmeier <simon.dirmeier@gmx.de>
Description: Implementation of network diffusion algorithms such as insulated heat propagation or Markov random walks. Network diffusion algorithms generally spread information in the form of node weights along the edges of a graph to other nodes. These weights can for example be interpreted as temperature, an initial amount of water, the activation of neurons in the brain, or the location of a random surfer in the internet. The information (node weights) is iteratively propagated to other nodes until a equilibrium state or stop criterion occurs.
URL: https://github.com/dirmeier/diffusr
BugReports: https://github.com/dirmeier/diffusr/issues
License: GPL (>= 3)
LazyData: TRUE
LinkingTo: Rcpp, RcppEigen
Imports: Rcpp
Suggests: knitr, rmarkdown, testthat, lintr, igraph
VignetteBuilder: knitr
RoxygenNote: 5.0.1
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2016-11-27 21:46:29 UTC; simon
Author: Simon Dirmeier [aut, cre]
Repository: CRAN
Date/Publication: 2016-11-28 00:33:47

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New package NonCompart with initial version 0.2.3
Package: NonCompart
Version: 0.2.3
Date: 2016-11-28
Title: Noncompartmental Analysis of Pharmacokinetics
Description: Conduct noncompartmental analysis as close as possible to the most widely used commercial pharmacokinetic analysis software, i.e. 'Phoenix(R) WinNonlin(R)' <https://www.certara.com/software/pkpd-modeling-and-simulation/phoenix-winnonlin/>. For more details on noncompartmental analysis, see the reference: Rowland M, Tozer TN. Clinical Pharmacokinetics and Pharmacodynamics - Concepts and Applications. 4e. 2011.
Depends: R (>= 3.0.0)
Author: Kyun-Seop Bae
Maintainer: Kyun-Seop Bae <k@acr.kr>
Copyright: 2016, Kyun-Seop Bae
License: GPL-3
NeedsCompilation: no
LazyLoad: yes
Repository: CRAN
URL: https://cran.r-project.org/package=NonCompart
Packaged: 2016-11-27 16:05:52 UTC; K
Date/Publication: 2016-11-27 18:30:40

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New package mltools with initial version 0.1.0
Package: mltools
Type: Package
Title: Machine Learning Tools
Version: 0.1.0
Author: Ben Gorman
Maintainer: Ben Gorman <bgorman@GormAnalysis.com>
Description: A collection of machine learning helper functions, particularly assisting in the Exploratory Data Analysis phase. Makes heacy use of the 'data.table' package for optimal speed and memory efficiency. Highlights include a versatile bin_data() function, sparsify() for converting a data.table to sparse matrix format with one-hot encoding, fast evaluation metrics, and empirical_cdf() for calculating empirical Multivariate Cumulative Distribution Functions.
License: MIT + file LICENSE
URL: https://github.com/ben519/mltools
BugReports: https://github.com/ben519/mltools/issues
LazyData: TRUE
RoxygenNote: 5.0.1
Imports: data.table(>= 1.9.7), Matrix, methods, stats
NeedsCompilation: no
Packaged: 2016-11-27 16:07:10 UTC; Ben
Repository: CRAN
Date/Publication: 2016-11-27 18:28:27

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New package GeomComb with initial version 1.0
Package: GeomComb
Type: Package
Title: (Geometric) Forecast Combination Methods
Version: 1.0
Depends: R (>= 3.0.2)
Imports: forecast (>= 7.3), ForecastCombinations (>= 1.1), ggplot2 (>= 2.1.0), Matrix (>= 1.2-6), mtsdi (>= 0.3.3), psych (>= 1.6.9)
Suggests: testthat (>= 1.0.2)
Author: Christoph E. Weiss, Gernot R. Roetzer
Maintainer: Christoph E. Weiss <info@ceweiss.com>
Description: Provides eigenvector-based (geometric) forecast combination methods; also includes simple approaches (simple average, median, trimmed and winsorized mean, inverse rank method) and regression-based combination. Tools for data pre-processing are available in order to deal with common problems in forecast combination (missingness, collinearity).
URL: https://github.com/ceweiss/GeomComb
BugReports: https://github.com/ceweiss/GeomComb/issues
License: GPL (>= 2)
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-27 14:48:09 UTC; Chris
Repository: CRAN
Date/Publication: 2016-11-27 16:02:26

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Sat, 26 Nov 2016

New package rly with initial version 1.0.3
Package: rly
Type: Package
Title: Lex and Yacc
Version: 1.0.3
Date: 2016-11-26
Authors@R: c(person("Marek", "Jagielski", role = c("aut", "cre", "cph"), email = "marek.jagielski@gmail.com"), person("David M.", " Beazley", role = c("aut", "cph")))
Author: Marek Jagielski [aut, cre, cph], David M. Beazley [aut, cph]
Maintainer: Marek Jagielski <marek.jagielski@gmail.com>
Description: R implementation of the common parsing tools lex and yacc.
License: MIT + file LICENSE
URL: https://github.com/systemincloud/rly
BugReports: https://github.com/systemincloud/rly/issues
Suggests: testthat
Depends: R6, futile.logger
RoxygenNote: 5.0.1
Collate: 'logger.R' 'lex.R' 'yacc.R'
NeedsCompilation: yes
Packaged: 2016-11-26 23:51:16 UTC; marek
Repository: CRAN
Date/Publication: 2016-11-27 02:34:15

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New package stmgui with initial version 0.1.5
Package: stmgui
Type: Package
Title: Shiny Application for Creating STM Models
Version: 0.1.5
Date: 2016-11-15
Author: Dan Zangri
Maintainer: Dan Zangri <dzangri@gmail.com>
Description: Provides an application that acts as a GUI for the 'stm' text processing package.
Depends: stm, markdown, shinyjs, shinythemes, tm
Imports: shiny, shinyBS
LazyData: yes
License: MIT + file LICENSE
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-11-26 18:27:16 UTC; dzangri
Repository: CRAN
Date/Publication: 2016-11-27 00:05:00

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New package pcdpca with initial version 0.2.1
Package: pcdpca
Title: Dynamic Principal Components for Periodically Correlated Functional Time Series
Version: 0.2.1
Authors@R: c(person("Lukasz", "Kidzinski", email = "lukasz.kidzinski@stanford.edu", role = c("aut", "cre")), person("Neda", "Jouzdani", email = "neda.jouzdani@colostate.edu", role = c("aut")), person("Piotr", "Kokoszka", email = "piotr.kokoszka@colostate.edu", role = c("aut")))
Description: Method extends multivariate dynamic principal components to periodically correlated multivariate time series.
Depends: R (>= 3.3.1)
Imports: freqdom, fda
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-11-26 04:28:05 UTC; lukasz
Author: Lukasz Kidzinski [aut, cre], Neda Jouzdani [aut], Piotr Kokoszka [aut]
Maintainer: Lukasz Kidzinski <lukasz.kidzinski@stanford.edu>
Repository: CRAN
Date/Publication: 2016-11-27 00:06:38

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Fri, 25 Nov 2016

New package rlo with initial version 0.3.2
Package: rlo
Type: Package
Title: Utilities for Writing to 'LibreOffice Writer' Documents
Version: 0.3.2
Date: 2016-11-25
Authors@R: c(person("Johannes", "Ranke", role = c("aut", "cre", "cph"), email = "johannes.ranke@jrwb.de"))
Description: Utilities for writing to 'LibreOffice Writer' (see <https://www.libreoffice.org/discover/writer/> for more information) documents using the 'Python-UNO' bridge.
Depends: PythonInR
SystemRequirements: libreoffice, python-uno
URL: https://jranke.github.io/rlo
BugReports: https://github.com/jranke/rlo/issues
License: GPL
LazyLoad: yes
LazyData: yes
Encoding: UTF-8
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-11-25 13:34:59 UTC; jranke
Author: Johannes Ranke [aut, cre, cph]
Maintainer: Johannes Ranke <johannes.ranke@jrwb.de>
Repository: CRAN
Date/Publication: 2016-11-25 19:48:15

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New package mdpeer with initial version 0.1.0
Package: mdpeer
Title: Graph-Constrained Regression with Enhanced Regularization Parameters Selection
Version: 0.1.0
Authors@R: c(person("Marta", "Karas", email = "marta.karass@gmail.com", role = c("aut", "cre")), person("Damian", "Brzyski", email = "dbrzyski@iu.edu", role = "ctb"), person("Jaroslaw", "Harezlak", email = "harezlak@iu.edu", role = "ctb"))
Author: Marta Karas [aut, cre], Damian Brzyski [ctb], Jaroslaw Harezlak [ctb]
Maintainer: Marta Karas <marta.karass@gmail.com>
Description: Performs graph-constrained regularization in which regularization parameters are selected with the use of a known fact of equivalence between penalized regression and Linear Mixed Model solutions. Provides implementation of three different regression methods where graph-constraints among coefficients are accounted for. 'crPEER' (Partially Empirical Eigenvectors for Regression with Constant Ridge, Constant Ridge PEER) method utilizes additional Ridge term to handle the non-invertibility of a graph Laplacian matrix. 'vrPEER' (Variable Reduction PEER) method performs variable-reduction procedure to handle the non-invertibility of a graph Laplacian matrix. Finally, 'RidgePEER' method employs a penalty term being a linear combination of graph-originated and Ridge-originated penalty terms, whose two regularization parameters are ML estimators from corresponding Linear Mixed Model solution. Notably, in 'RidgePEER' method a graph-originated penalty term allows imposing similarity between coefficients based on graph information given whereas additional Ridge-originated penalty term facilitates parameters estimation: it reduces computational issues arising from singularity in a graph-originated penalty matrix and yields plausible results in situations when graph information is not informative or when it is unclear whether connectivities represented by a graph reflect similarities among corresponding coefficients.
Depends: R (>= 3.3.1)
Imports: MASS, glmgraph, magic, reshape2, ggplot2, scalreg, glmnet, nlme, nloptr
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-11-25 12:29:43 UTC; mkaras
Repository: CRAN
Date/Publication: 2016-11-25 19:48:06

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New package IDmining with initial version 1.0.0
Package: IDmining
Type: Package
Date: 2016-11-25
Title: Intrinsic Dimension for Data Mining
Version: 1.0.0
Author: Jean Golay and Mohamed Laib
Maintainer: Jean Golay <Jean.Golay@unil.ch>
Description: Contains techniques for mining large high-dimensional data sets by using the concept of Intrinsic Dimension (ID). Here the ID is not necessarily integer. It is extended to fractal dimensions. And the Morisita estimator is used for the ID estimation, but other tools are included as well.
Imports: dplyr, stats
License: CC BY-NC-SA 4.0
URL: < https://www.sites.google.com/site/jeangolayresearch/ >
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Note: The authors are grateful to Mikhail Kanevski, Michael Leuenberger and Carmen D. Vega Orozco for many fruitful discussions about the use of intrinsic dimension in data mining.
NeedsCompilation: no
Packaged: 2016-11-25 13:06:20 UTC; jgolay4
Repository: CRAN
Date/Publication: 2016-11-25 19:47:55

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New package DEploid with initial version 0.3.2
Package: DEploid
Type: Package
Title: Deconvolute Mixed Genomes with Unknown Proportions
Version: 0.3.2
Authors@R: c( person("Joe", "Zhu", role=c("aut", "cre", "cph"), email="joe.zhu@well.ox.ac.uk") )
Description: Traditional phasing programs are limited to diploid organisms. Our method modifies Li and Stephens algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haplotype searches in a multiple infection setting. This package is primarily developed as part of the Pf3k project, which is a global collaboration using the latest sequencing technologies to provide a high-resolution view of natural variation in the malaria parasite Plasmodium falciparum. Parasite DNA are extracted from patient blood sample, which often contains more than one parasite strain, with unknown proportions. This package is used for deconvoluting mixed haplotypes, and reporting the mixture proportions from each sample.
URL: https://github.com/mcveanlab/DEploid-r
BugReports: https://github.com/mcveanlab/DEploid-r/issues
License: GPL (>= 3)
Depends: R (>= 3.1.0)
Imports: Rcpp (>= 0.11.2)
Suggests: knitr, rmarkdown, testthat (>= 0.9.0)
SystemRequirements: C++11
VignetteBuilder: knitr
LinkingTo: Rcpp
RoxygenNote: 5.0.1
Date: 2016-11-25
NeedsCompilation: yes
Packaged: 2016-11-25 13:28:06 UTC; joezhu
Author: Joe Zhu [aut, cre, cph]
Maintainer: Joe Zhu <joe.zhu@well.ox.ac.uk>
Repository: CRAN
Date/Publication: 2016-11-25 19:47:49

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New package dynetNLAResistance with initial version 0.1.0
Package: dynetNLAResistance
Type: Package
Title: Resisting Neighbor Label Attack in a Dynamic Network
Version: 0.1.0
Author: Jiaqi Tang
Maintainer: Jiaqi Tang <1107967177@qq.com>
Description: An anonymization algorithm to resist neighbor label attack in a dynamic network.
Depends: R (>= 2.10)
License: MIT + file LICENSE
LazyData: true
Suggests: testthat
Imports: igraph, doParallel, foreach, grDevices, graphics, utils, parallel
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-25 09:47:25 UTC; TJQ
Repository: CRAN
Date/Publication: 2016-11-25 14:14:30

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New package survAWKMT2 with initial version 1.0.0
Package: survAWKMT2
Type: Package
Title: Two-Sample Tests Based on Differences of Kaplan-Meier Curves
Version: 1.0.0
Date: 2016-11-24
Author: Miki Horiguchi, Hajime Uno
Maintainer: Miki Horiguchi <horiguchimiki@gmail.com>
Description: Tests for equality of two survival functions based on integrated weighted differences of two Kaplan-Meier curves.
Imports: survival
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-24 10:52:01 UTC; PP10211
Repository: CRAN
Date/Publication: 2016-11-25 12:55:52

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New package spongecake with initial version 0.1.1
Package: spongecake
Type: Package
Title: Transform a Movie into a Synthetic Picture
Version: 0.1.1
Author: vincent guyader
Maintainer: vincent guyader <vincent@thinkr.fr>
Description: Transform a Movie into a Synthetic Picture. A frame every 10 seconds is summarized into one colour, then every generated colors are stacked together.
License: GPL-3
Depends: R (>= 3.0)
Encoding: UTF-8
LazyData: true
Imports: magrittr, ggplot2, jpeg, plyr
RoxygenNote: 5.0.1
SystemRequirements: FFmpeg (http://ffmpeg.org)
URL: https://github.com/ThinkRstat/spongecake
NeedsCompilation: no
Packaged: 2016-11-24 17:17:50 UTC; vincent
Repository: CRAN
Date/Publication: 2016-11-25 08:43:12

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New package rmutil with initial version 1.1.0
Package: rmutil
Version: 1.1.0
Title: Utilities for Nonlinear Regression and Repeated Measurements Models
Authors@R: c( person("Bruce", "Swihart", email="bruce.swihart@gmail.com", role=c("cre", "aut")), person("Jim" , "Lindsey", email="jlindsey@gen.unimaas.nl", role="aut", comment="Jim created this package, Bruce is maintaining the CRAN version"))
Depends: R (>= 1.4)
Description: A toolkit of functions for nonlinear regression and repeated measurements not to be used by itself but called by other Lindsey packages such as 'gnlm', 'stable', 'growth', 'repeated', and 'event' (available at <http://www.commanster.eu/rcode.html>).
License: GPL-2
URL: http://www.commanster.eu/rcode.html
BugReports: https:/github.com/swihart/rmutil/issues
Encoding: UTF-8
LazyData: true
LazyLoad: true
NeedsCompilation: yes
Packaged: 2016-11-24 16:56:21 UTC; swihartbj
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] (Jim created this package, Bruce is maintaining the CRAN version)
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>
Repository: CRAN
Date/Publication: 2016-11-25 08:43:08

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New package rIsing with initial version 0.1.0
Package: rIsing
Type: Package
Title: High-Dimensional Ising Model Selection
Version: 0.1.0
Authors@R: c(person("Pratik", "Ramprasad", email = "pratik.ramprasad@gmail.com", role = c("aut", "cre")), person("Jorge", "Nocedal", role = c("ctb", "cph")), person("Naoaki", "Okazaki", role = c("ctb", "cph")))
Description: Fits an Ising model to a binary dataset using L1 regularized logistic regression and extended BIC. Also includes a fast lasso logistic regression function for high-dimensional problems. Uses the 'libLBFGS' optimization library by Naoaki Okazaki.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: Rcpp (>= 0.12.8), data.table (>= 1.9.6)
Suggests: igraph, IsingSampler
LinkingTo: Rcpp, RcppEigen (>= 0.3.2.9)
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-11-24 15:30:45 UTC; prati
Author: Pratik Ramprasad [aut, cre], Jorge Nocedal [ctb, cph], Naoaki Okazaki [ctb, cph]
Maintainer: Pratik Ramprasad <pratik.ramprasad@gmail.com>
Repository: CRAN
Date/Publication: 2016-11-25 08:43:07

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New package aslib with initial version 0.1
Package: aslib
Title: Interface to the Algorithm Selection Benchmark Library
Description: Provides an interface to the algorithm selection benchmark library at <http://www.aslib.net> and the 'LLAMA' package (<https://cran.r-project.org/web/packages/llama/index.html>) for building algorithm selection models.
Author: Bernd Bischl <bernd_bischl@gmx.net>, Lars Kotthoff <larsko@cs.ubc.ca>, Pascal Kerschke <kerschke@uni-muenster.de> [ctb]
Maintainer: Lars Kotthoff <larsko@cs.ubc.ca>
URL: https://github.com/coseal/aslib-r/
BugReports: https://github.com/coseal/aslib-r/issues
License: GPL-3
Imports: BatchExperiments, BatchJobs, BBmisc, checkmate, corrplot, ggplot2, llama, mlr, parallelMap, ParamHelpers, plyr, reshape2, RWeka, stringr, yaml
Suggests: testthat, rpart
LazyData: yes
ByteCompile: yes
Version: 0.1
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-24 19:27:05 UTC; larsko
Repository: CRAN
Date/Publication: 2016-11-25 08:42:53

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Thu, 24 Nov 2016

New package elasticsearchr with initial version 0.1.0
Package: elasticsearchr
Type: Package
Version: 0.1.0
Title: A Lightweight Interface for Interacting with Elasticsearch from R
Date: 2016-11-24
Author: Alex Ioannides
Maintainer: Alex Ioannides <alex.ioannides@yahoo.co.uk>
Description: A lightweight R interface to 'Elasticsearch' - a NoSQL search-engine and column store database (see <https://www.elastic.co/products/elasticsearch> for more information). This package implements a simple Domain-Specific Language (DSL) for indexing, deleting, querying, sorting and aggregating data using 'Elasticsearch'.
License: Apache License 2.0
URL: https://github.com/alexioannides/elasticsearchr
BugReports: https://github.com/alexioannides/elasticsearchr/issues
LazyData: TRUE
Imports: httr, jsonlite
Suggests: knitr, testthat, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-24 13:15:39 UTC; alexioannides
Repository: CRAN
Date/Publication: 2016-11-24 16:39:16

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New package quarrint with initial version 1.0.0
Package: quarrint
Type: Package
Title: Interaction Prediction Between Groundwater and Quarry Extension Using Discrete Choice Models and Artificial Neural Networks
Version: 1.0.0
Date: 2016-11-23
Authors@R: c( person("Johan", "Barthelemy", role = c("aut", "cre"), email = "johan@uow.edu.au"), person("Timoteo", "Carletti", role = "aut"), person("Louise", "Collier", role = "aut"), person("Vincent", "Hallet", role = "aut"), person("Marie", "Moriame", role = "aut"), person("Annick", "Sartenaer", role = "aut"))
Author: Johan Barthelemy [aut, cre], Timoteo Carletti [aut], Louise Collier [aut], Vincent Hallet [aut], Marie Moriame [aut], Annick Sartenaer [aut]
Maintainer: Johan Barthelemy <johan@uow.edu.au>
Description: An implementation of two interaction indices between extractive activity and groundwater resources based on hazard and vulnerability parameters used in the assessment of natural hazards. One index is based on a discrete choice model and the other is relying on an artificial neural network.
LazyData: true
Depends: R(>= 2.10.0), neuralnet
License: GPL-2
URL: https://github.com/jojo-/quarrint
NeedsCompilation: no
Packaged: 2016-11-24 05:35:55 UTC; johan
Repository: CRAN
Date/Publication: 2016-11-24 11:31:13

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New package gridsample with initial version 0.1.2
Package: gridsample
Title: Tools for Grid-Based Survey Sampling Design
Version: 0.1.2
Author: Dana R. Thomson (University of Southampton), Nick W. Ruktanonchai (University of Southampton), Forrest R. Stevens (University of Louisville), Marcia Castro (Harvard University), Andrew J. Tatem (University of Southampton)
Maintainer: Nick Ruktanonchai <nrukt00@gmail.com>
Description: Multi-stage cluster household surveys are commonly performed by governments and programs to monitor population demographic, social, economic, and health outcomes. In these surveys, communities are sampled in a first stage of sampling from within subpopulations of interest (or strata), households are sampled in a second stage of sampling, and sometimes individuals are listed and further sampled within households. The first stage of sampling, where communities of sample populations are defined, are called Primary Sampling Units (PSUs) while the households are secondary sampling units (SSUs). Census data are typically used to select PSUs within strata. If census data are outdated, inaccurate, or not available at fine enough scale, however, gridded population data can be used instead. This tool selects PSUs within user-defined strata using gridded population data, given desired numbers of sampled households within each PSU. The population densities used to create PSUs are drawn from rasters such as the population data from the WorldPop Project (http://www.worldpop.org.uk). PSUs are defined within a stratum using a serpentine sampling method, and can be set to have a certain ratio of urban and rural PSUs, or to be evenly distributed across a coarse, user-defined grid.
Depends: R (>= 3.2.3)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: rgdal, raster, data.table, rgeos, geosphere, sp, deldir, spatstat, methods, maptools
RoxygenNote: 5.0.1.9000
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2016-11-23 23:57:59 UTC; Nick
Repository: CRAN
Date/Publication: 2016-11-24 11:31:10

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New package bayesreg with initial version 1.0
Package: bayesreg
Type: Package
Title: Bayesian Regression Models with Continuous Shrinkage Priors
Version: 1.0
Date: 2016-11-14
Author: Daniel F. Schmidt and Enes Makalic
Maintainer: Daniel F. Schmidt <dschmidt@unimelb.edu.au>
Description: Fits linear or logistic regression model using Bayesian continuous shrinkage prior distributions. Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Student-t distributed targets.
License: GPL-2
Depends: methods (>= 2.0), BayesLogit (>= 0.6)
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-11-24 05:36:35 UTC; dschmidt
Repository: CRAN
Date/Publication: 2016-11-24 11:31:05

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Wed, 23 Nov 2016

New package RDStreeboot with initial version 1.0
Package: RDStreeboot
Type: Package
Title: RDS Tree Bootstrap Method
Version: 1.0
Date: 2016-11-23
Author: Aaron J. Baraff
Maintainer: Aaron J. Baraff <ajbaraff@uw.edu>
Description: A tree bootstrap method for estimating uncertainty in respondent-driven samples (RDS). Quantiles are estimated by multilevel resampling in such a way that preserves the dependencies of and accounts for the high variability of the RDS process.
License: GPL-2 | GPL-3
NeedsCompilation: no
Packaged: 2016-11-23 22:32:10 UTC; ajbaraff
Repository: CRAN
Date/Publication: 2016-11-24 00:36:48

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New package eMLEloglin with initial version 1.0
Package: eMLEloglin
Title: Fitting log-Linear Models in Sparse Contingency Tables
Version: 1.0
Date: 2016-11-21
Author: Matthew Friedlander
Maintainer: Matthew Friedlander <mattyf5@hotmail.com>
Depends: lpSolveAPI
Suggests: R.rsp
VignetteBuilder: R.rsp
Description: Log-linear modeling is a popular method for the analysis of contingency table data. When the table is sparse, the data can fall on the boundary of the convex support, and we say that "the MLE does not exist" in the sense that some parameters cannot be estimated. However, an extended MLE always exists, and a subset of the original parameters will be estimable. The 'eMLEloglin' package determines which sampling zeros contribute to the non-existence of the MLE. These problematic zero cells can be removed from the contingency table and the model can then be fit (as far as is possible) using the glm() function.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-11-23 09:14:36 UTC; root
Repository: CRAN
Date/Publication: 2016-11-24 00:36:47

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New package revdbayes with initial version 1.0.0
Package: revdbayes
Title: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Version: 1.0.0
Date: 2016-11-22
Authors@R: person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk", role = c("aut", "cre", "cph"))
Description: Provides functions for the Bayesian analysis of extreme value models. The 'rust' package <https://cran.r-project.org/package=rust> is used to simulate a random sample from the required posterior distribution. The functionality of 'revdbayes' is similar to the 'evdbayes' package <https://cran.r-project.org/package=evdbayes>, which uses Markov Chain Monte Carlo (MCMC) methods for posterior simulation. See the 'revdbayes' website for more information, documentation and examples.
Imports: stats, graphics, methods, spatstat, rust (>= 1.1.0)
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.3.1)
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat, devtools, evdbayes
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-11-23 11:15:37 UTC; paul
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2016-11-23 14:09:45

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New package robets with initial version 1.0
Package: robets
Type: Package
Title: Forecasting Time Series with Robust Exponential Smoothing
Version: 1.0
Date: 2016-11-23
Authors@R: c(person("Ruben","Crevits",role=c("aut","cre"),email = "ruben.crevits@kuleuven.be"))
Author: Ruben Crevits [aut, cre]
Maintainer: Ruben Crevits <ruben.crevits@kuleuven.be>
Description: We provide an outlier robust alternative of the function ets() in the 'forecast' package of Hyndman and Khandakar (2008)<DOI:10.18637/jss.v027.i03>. For each method of a class of exponential smoothing variants we made a robust alternative. The class includes methods with a damped trend and/or seasonal components. The robust method is developed by robustifying every aspect of the original exponential smoothing variant. We provide robust forecasting equations, robust initial values, robust smoothing parameter estimation and a robust information criterion. The method is described in more detail in Crevits and Croux (2016)<DOI:10.13140/RG.2.2.11791.18080>.
License: GPL (>= 2)
Depends: R (>= 3.1.1)
Imports: Rcpp (>= 0.12.2), forecast
LinkingTo: Rcpp
LazyData: true
BugReports: https://github.com/RubenCrevits/robets/issues
URL: http://github.com/RubenCrevits/robets
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-11-23 09:08:47 UTC; u0099245
Repository: CRAN
Date/Publication: 2016-11-23 12:06:41

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New package SpaCCr with initial version 0.1.0
Package: SpaCCr
Type: Package
Title: Spatial Convex Clustering
Version: 0.1.0
Author: John Nagorski
Maintainer: John Nagorski<jn13@rice.edu>
Description: Genomic Region Detection via Spatial Convex Clustering. See <https://arxiv.org/abs/1611.04696> for details.
Depends: R (>= 2.10)
License: GPL-3
LazyData: TRUE
LinkingTo: Rcpp, RcppArmadillo
Imports: abind, dplyr, ggplot2, parallel, Rcpp, tidyr
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2016-11-22 23:56:56 UTC; john
Repository: CRAN
Date/Publication: 2016-11-23 09:38:35

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Tue, 22 Nov 2016

New package strat with initial version 0.1
Package: strat
Type: Package
Title: An Implementation of the Stratification Index
Version: 0.1
Authors@R: person("Xiang", "Zhou", email = "xiang_zhou@fas.harvard.edu", role = c("aut", "cre"))
Description: An implementation of the stratification index proposed by Zhou (2012) <DOI:10.1177/0081175012452207>. The package provides two functions, srank, which returns stratum-specific information, including population share and average percentile rank; and strat, which returns the stratification index and its approximate standard error. When a grouping factor is specified, strat also provides a detailed decomposition of the overall stratification into between-group and within-group components.
Depends: R (>= 3.3.1),
Imports: Hmisc (>= 4.0-0), Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: testthat
URL: https://github.com/xiangzhou09/strat
BugReports: https://github.com/xiangzhou09/strat/issues
NeedsCompilation: yes
Packaged: 2016-11-22 17:44:43 UTC; xiz225
Author: Xiang Zhou [aut, cre]
Maintainer: Xiang Zhou <xiang_zhou@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2016-11-23 01:26:06

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New package mbclusterwise with initial version 1.0
Package: mbclusterwise
Type: Package
Title: Clusterwise Multiblock Analyses
Version: 1.0
Date: 2016-11-22
Author: Stephanie Bougeard
Maintainer: Stephanie Bougeard <stephanie.bougeard@anses.fr>
Description: Perform clusterwise multiblock analyses (clusterwise multiblock Partial Least Squares, clusterwise multiblock Redundancy Analysis or a regularized method between the two latter ones) associated with a F-fold cross-validation procedure to select the optimal number of clusters and dimensions.
License: GPL (>= 2.0)
Depends: ade4, doParallel, foreach, kknn, parallel
NeedsCompilation: no
Packaged: 2016-11-22 15:49:24 UTC; s.bougeard
Repository: CRAN
Date/Publication: 2016-11-22 17:08:03

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New package ockc with initial version 1.0
Package: ockc
Type: Package
Title: Order Constrained Solutions in k-Means Clustering
Version: 1.0
Date: 2016-11-22
Authors@R: c(person(given = "Sebastian", family = "Krey", role = c("aut", "cre"), email = "sebastian.dev@skrey.net"), person(given = "Friedrich", family = "Leisch", email = "Friedrich.Leisch@R-project.org", role = "aut"), person(given = "Sebastian", family = "Hoffmeister", role = "ctb") )
Description: Extends 'flexclust' with an R implementation of order constrained solutions in k-means clustering (Steinley and Hubert, 2008, <doi:10.1007/s11336-008-9058-z>).
License: GPL-2 | GPL-3
Depends: flexclust
Imports: methods, parallel, modeltools, stats4
Suggests: seriation
NeedsCompilation: no
Packaged: 2016-11-22 11:57:59 UTC; skrey
Author: Sebastian Krey [aut, cre], Friedrich Leisch [aut], Sebastian Hoffmeister [ctb]
Maintainer: Sebastian Krey <sebastian.dev@skrey.net>
Repository: CRAN
Date/Publication: 2016-11-22 14:12:38

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New package MCAvariants with initial version 2.0
Package: MCAvariants
Type: Package
Title: Multiple Correspondence Analysis Variants
Version: 2.0
Date: 2016-11-15
Author: Rosaria Lombardo and Eric J Beh
Maintainer: Rosaria Lombardo <rosaria.lombardo@unina2.it>
Description: Provides two variants of multiple correspondence analysis (ca): multiple ca and ordered multiple ca via orthogonal polynomials of Emerson.
Depends: R (> 3.0.1), methods, tools
LazyData: true
License: GPL (> 2)
URL: https://www.R-project.org
NeedsCompilation: no
Packaged: 2016-11-22 08:47:50 UTC; home
Repository: CRAN
Date/Publication: 2016-11-22 10:26:53

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New package Rdtq with initial version 0.1
Package: Rdtq
Type: Package
Title: Density Tracking by Quadrature
Version: 0.1
Date: 2016-11-21
Author: Harish S. Bhat, R. W. M. A. Madushani, Shagun Rawat
Maintainer: Harish S. Bhat <hbhat@ucmerced.edu>
Description: Implementation of density tracking by quadrature (DTQ) algorithms for stochastic differential equations (SDEs). DTQ algorithms numerically compute the density function of the solution of an SDE with user-specified drift and diffusion functions. The calculation does not require generation of sample paths, but instead proceeds in a deterministic fashion by repeatedly applying quadrature to the Chapman-Kolmogorov equation associated with a discrete-time approximation of the SDE. The DTQ algorithm is provably convergent. For several practical problems of interest, we have found the DTQ algorithm to be fast, accurate, and easy to use.
Depends: R (>= 3.2.0)
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), Matrix (>= 1.2)
Suggests: ggplot2 (>= 2.1), scales (>= 0.4.0)
LinkingTo: Rcpp
LazyData: true
NeedsCompilation: yes
Packaged: 2016-11-21 20:54:11 UTC; hsbhat
Repository: CRAN
Date/Publication: 2016-11-22 09:06:51

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New package lmridge with initial version 1.0
Package: lmridge
Type: Package
Title: Linear Ridge Regression with Ridge Penalty and Ridge Statistics
Version: 1.0
Date: 2015-12-27
Author: Muhammad Imdadullah, Dr. Muhammad Aslam
Maintainer: Muhammad Imdadullah <mimdadasad@gmail.com>
Description: Linear ridge regression coefficient's estimation and testing with different ridge related measures such as MSE, R-squared etc.
License: GPL (>= 2.0)
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-11-21 21:14:11 UTC; Muhammad
Repository: CRAN
Date/Publication: 2016-11-22 09:07:05

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New package ggforce with initial version 0.1.0
Package: ggforce
Type: Package
Title: Accelerating 'ggplot2'
Version: 0.1.0
Date: 2016-11-22
Author: Thomas Lin Pedersen
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>
Description: The aim of 'ggplot2' is to aid in visual data investigations. This focus has led to a lack of facilities for composing specialised plots. 'ggforce' aims to be a collection of mainly new stats and geoms that fills this gap. All additional functionality is aimed to come through the official extension system so using 'ggforce' should be a stable experience.
License: GPL (>= 2)
LazyData: TRUE
Depends: ggplot2 (>= 2.2.0), R (>= 2.10)
Imports: Rcpp (>= 0.12.2), grid, dplyr, scales, MASS, tweenr, units (>= 0.4), gtable, lazyeval
LinkingTo: Rcpp
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
Collate: 'RcppExports.R' 'aaa.R' 'arc_bar.R' 'arc.R' 'bezier.R' 'bspline.R' 'circle.R' 'facet_grid_paginate.R' 'facet_wrap_paginate.R' 'facet_zoom.R' 'ggforce_package.R' 'ggproto-classes.R' 'interpolate.R' 'link.R' 'scale-unit.R' 'sina.R' 'themes.R' 'trans.R'
NeedsCompilation: yes
Packaged: 2016-11-22 07:54:08 UTC; tlp
Repository: CRAN
Date/Publication: 2016-11-22 09:13:38

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Mon, 21 Nov 2016

New package valr with initial version 0.1.0
Package: valr
Type: Package
Title: Genome Interval Arithmetic in R
Version: 0.1.0
Authors@R: c( person('Jay', 'Hesselberth', role = c('aut', 'cre'), email = 'jay.hesselberth@gmail.com'), person('Kent', 'Riemondy', role = c('aut'), email = 'kent.riemondy@ucdenver.edu'), person('Ryan', 'Sheridan', role = c('ctb'), email = 'ryan.sheridan@ucdenver.edu') )
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data.
License: MIT + file LICENSE
Depends: R (>= 3.1.2)
Imports: dplyr (>= 0.5.0), lazyeval, purrr, readr, stringr, tibble, tidyr, broom, shiny, ggplot2,
SystemRequirements: C++11
LinkingTo: Rcpp (>= 0.12.8), BH, dplyr (>= 0.5.0)
Suggests: knitr, rmarkdown, testthat, microbenchmark, covr, shinydashboard, RMySQL,
VignetteBuilder: knitr
RoxygenNote: 5.0.1
URL: http://github.com/jayhesselberth/valr/
BugReports: https://github.com/jayhesselberth/valr/issues
NeedsCompilation: yes
Packaged: 2016-11-21 17:44:44 UTC; jayhesselberth
Author: Jay Hesselberth [aut, cre], Kent Riemondy [aut], Ryan Sheridan [ctb]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>
Repository: CRAN
Date/Publication: 2016-11-21 21:22:52

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New package relabeLoadings with initial version 1.0
Package: relabeLoadings
Version: 1.0
Date: 2016-11-20
Title: Relabel Loadings from MCMC Output for Confirmatory Factor Analysis
Authors@R: c(person("S. McKay", "Curtis", role=c("aut", "cre"), email="s.mckay.curtis@gmail.com"), person("Elena A.", "Erosheva", role=c("aut")))
Description: In confirmatory factor analysis (CFA), structural constraints typically ensure that the model is identified up to all possible reflections, i.e., column sign changes of the matrix of loadings. Such reflection invariance is problematic for Bayesian CFA when the reflection modes are not well separated in the posterior distribution. Imposing rotational constraints -- fixing some loadings to be zero or positive in order to pick a factor solution that corresponds to one reflection mode -- may not provide a satisfactory solution for Bayesian CFA. The function 'relabel' uses the relabeling algorithm of Erosheva and Curtis to correct for sign invariance in MCMC draws from CFA models. The MCMC draws should come from Bayesian CFA models that are fit without rotational constraints.
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-20 14:20:17 UTC; McKay
Author: S. McKay Curtis [aut, cre], Elena A. Erosheva [aut]
Maintainer: S. McKay Curtis <s.mckay.curtis@gmail.com>
Repository: CRAN
Date/Publication: 2016-11-21 21:22:46

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New package weco with initial version 1.0
Package: weco
Title: Western Electric Company Rules (WECO) for Shewhart Control Chart
Version: 1.0
Author: Chenguang Wang [aut, cre], Lingmin Zeng [aut], Zheyu Wang [aut], Wei Zhao1 [aut], Harry Yang [aut]
Maintainer: Chenguang Wang <cwang68@jhmi.edu>
Description: Western Electric Company Rules (WECO) have been widely used for Shewhart control charts in order to increase the sensitivity of detecting assignable causes of process change. This package implements eight commonly used WECO rules and allow to apply the combination of these individual rules for detecting the deviation from a stable process. The package also provides a web-based graphical user interface to help users conduct the analysis.
Depends: R (>= 3.3.1)
License: GPL (>= 3)
LazyData: true
RoxygenNote: 5.0.1
Suggests: knitr, DT, shiny, shinythemes
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-11-21 05:35:57 UTC; cwang68
Repository: CRAN
Date/Publication: 2016-11-21 12:02:02

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New package startup with initial version 0.3.0
Package: startup
Version: 0.3.0
Title: Friendly R Startup Configuration
Depends: R (>= 2.12.0)
Authors@R: c(person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"), email = "henrikb@braju.com"))
Description: Adds support for R startup configuration via '.Renviron.d' and '.Rprofile.d' directories in addition to '.Renviron' and '.Rprofile' files. This makes it possible to keep private / secret environment variables separate from other environment variables. It also makes it easier to share specific startup settings by simply copying a file to a directory.
License: LGPL (>= 2.1)
LazyLoad: TRUE
URL: https://github.com/HenrikBengtsson/startup
BugReports: https://github.com/HenrikBengtsson/startup/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-21 00:45:49 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2016-11-21 12:01:59

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New package pstest with initial version 0.1.1
Package: pstest
Type: Package
Title: Specification Tests for Parametric Propensity Score Models
Version: 0.1.1
Author: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>, Xiajoun Song <sxj@gsm.pku.edu.cn>
Maintainer: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>
Description: The propensity score is one of the most widely used tools in studying the causal effect of a treatment, intervention, or policy. Given that the propensity score is usually unknown, it has to be estimated, implying that the reliability of many treatment effect estimators depends on the correct specification of the (parametric) propensity score. This package provides data-driven nonparametric diagnostic tools for detecting propensity score misspecification.
URL: https://github.com/pedrohcgs/pstest
Depends: R (>= 3.1)
Imports: stats, parallel, harvestr
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1.9000
Date: 2016-11-19 19:35
NeedsCompilation: no
Packaged: 2016-11-20 17:10:39 UTC; santanph
Repository: CRAN
Date/Publication: 2016-11-21 12:01:58

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New package clickR with initial version 0.1.8
Package: clickR
Type: Package
Title: Fix Data and Create Report Tables from Different Objects
Version: 0.1.8
Author: Victoria Fornes Ferrer, David Hervas Marin
Maintainer: David Hervas Marin <ddhervas@yahoo.es>
Imports: ClustOfVar, ReporteRs, lme4, lmerTest, xtable, beeswarm, lqmm, ordinal, survival
Description: Fixes data errors in numerical, factor and date variables and performs report tables from models and summaries.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-20 16:56:35 UTC; Aghila
Repository: CRAN
Date/Publication: 2016-11-21 12:01:41

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Sun, 20 Nov 2016

New package MBHdesign with initial version 1.0.60
Package: MBHdesign
Title: Spatial Designs for Ecological and Environmental Surveys
Version: 1.0.60
Author: Scott D. Foster
Description: Provides spatially balanced designs from a set of (contiguous) potential sampling locations in a study region. Accommodates , without detrimental effects on spatial balance, sites that the researcher wishes to include in the survey for reasons other than the current randomisation (legacy sites).
Maintainer: Scott Foster <scott.foster@csiro.au>
License: GPL (>= 2)
Imports: mgcv, geometry, randtoolbox, mvtnorm, stats, class
Suggests: fields, graphics, knitr, spsurvey
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-11-20 09:26:13 UTC; fos085
Repository: CRAN
Date/Publication: 2016-11-20 17:28:35

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