Thu, 23 Feb 2017

New package lsasim with initial version 1.0.0
Package: lsasim
Title: Simulate Large Scale Assessment Data
Version: 1.0.0
Authors@R: c( person("Tyler", "Matta", email = "tyler.matta@gmail.com", role = c("aut", "cre")), person("Yuan-Ling Linda", "Liaw", email = "linda08@uw.edu", role = "ctb"), person("Leslie", "Rutkowski", email = "leslie.rutkowski@cemo.uio.no", role = "ctb"), person("David", "Rutkowski", email = "david.rutkowski@cemo.uio.no", role = "ctb"), person("Kondwani Kajera", "Mughogho", email = "k.k.mughogho@cemo.uio.no", role = "ctb") )
BugReports: https://github.com/tmatta/lsasim/issues
Description: Provides functions to simulate data from large-scale educational assessments, including background questionnaire data and cognitive item responses that adhere to a multiple-matrix sampled design.
Depends: R (>= 3.3.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-23 07:23:47 UTC; tylerm
Author: Tyler Matta [aut, cre], Yuan-Ling Linda Liaw [ctb], Leslie Rutkowski [ctb], David Rutkowski [ctb], Kondwani Kajera Mughogho [ctb]
Maintainer: Tyler Matta <tyler.matta@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-23 11:14:36

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New package fpp2 with initial version 2.0
Package: fpp2
Version: 2.0
Title: Data for "Forecasting: Principles and Practice" (2nd Ed)
Description: All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are also loaded.
Depends: R (>= 2.0.0), forecast (>= 8.0), fma, expsmooth, ggplot2
LazyData: yes
LazyLoad: yes
Authors@R: c(person(given="Rob", family="Hyndman", role=c("aut", "cre", "cph"), email="Rob.Hyndman@monash.edu"))
License: GPL (>= 2)
URL: http://OTexts.org/fpp2/
NeedsCompilation: no
Packaged: 2017-02-23 09:05:02 UTC; robjhyndman
Author: Rob Hyndman [aut, cre, cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>
Repository: CRAN
Date/Publication: 2017-02-23 11:14:33

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New package tuckerR.mmgg with initial version 1.5.0
Package: tuckerR.mmgg
Type: Package
Title: Three-Mode Principal Components Analysis
Version: 1.5.0
Authors@R: c( person("Marta","Marticorena",role = "aut"), person("Gustavo","Gimenez",email = "gustavo.gimenez@faea.uncoma.edu.ar",role="cre"), person("Cecilia","Gonzalez",role = "ctb"), person("Sergio","Bramardi",role = "aut"))
Maintainer: Gustavo Gimenez <gustavo.gimenez@faea.uncoma.edu.ar>
Description: Performs Three-Mode Principal Components Analysis, which carries out Tucker Models.
Depends: R (>= 3.3.0)
Suggests: knitr,testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
URL: https://github.com/gusart/tuckerR_mmgg
BugReports: https://github.com/gusart/tuckerR_mmgg/issues
NeedsCompilation: no
Packaged: 2017-02-23 02:18:11 UTC; gusart
Author: Marta Marticorena [aut], Gustavo Gimenez [cre], Cecilia Gonzalez [ctb], Sergio Bramardi [aut]
Repository: CRAN
Date/Publication: 2017-02-23 08:31:38

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New package sppmix with initial version 1.0.0.0
Package: sppmix
Title: Modeling Spatial Poisson and Related Point Processes
Version: 1.0.0.0
Author: Jiaxun Chen <chenjiaxun9@hotmail.com> and Athanasios (Sakis) Christou Micheas <micheasa@missouri.edu>. Significant contributions on the package skeleton creation, plotting functions and other code by Yuchen Wang <ycwang0712@gmail.com>
Maintainer: Sakis Micheas <micheasa@missouri.edu>
Description: Implements classes and methods for modeling spatial point patterns using inhomogeneous Poisson point processes, where the intensity surface is assumed to be analogous to a finite additive mixture of normal components and the number of components is a finite, fixed or random integer. Extensions to the marked inhomogeneous Poisson point processes case are also presented. We provide an extensive suite of R functions that can be used to simulate, visualize and model point patterns, estimate the parameters of the models, assess convergence of the algorithms and perform model selection and checking in the proposed modeling context.
Depends: R (>= 3.2.1), stats, graphics, grDevices, utils, USAboundaries
License: CC BY-NC-SA 4.0
LazyData: true
Imports: Rcpp, spatstat, rgl, fields, mvtnorm, ggplot2 (>= 2.1.0), matrixcalc,sp
LinkingTo: Rcpp, RcppArmadillo, mvtnorm
URL: http://www.stat.missouri.edu/~amicheas/sppmix/index.html
RoxygenNote: 5.0.1
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-02-22 13:58:12 UTC; sakis
Repository: CRAN
Date/Publication: 2017-02-23 08:31:33

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New package robustarima with initial version 0.2.5
Package: robustarima
Type: Package
Title: Robust ARIMA Modeling
Imports: methods, splusTimeDate, splusTimeSeries
Version: 0.2.5
Author: TIBCO Software Inc.
Maintainer: Stephen Kaluzny <skaluzny@tibco.com>
Description: Functions for fitting a linear regression model with ARIMA errors using a filtered tau-estimate.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2017-02-22 18:26:02 UTC; spk
Repository: CRAN
Date/Publication: 2017-02-23 08:31:31

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New package prefeR with initial version 0.1.1
Package: prefeR
Type: Package
Title: R Package for Pairwise Preference Elicitation
Version: 0.1.1
Date: 2017-02-22
Author: John Lepird
Maintainer: John Lepird <jlepird@alum.mit.edu>
Description: Allows users to derive multi-objective weights from pairwise comparisons, which research shows is more repeatable, transparent, and intuitive other techniques. These weights can be rank existing alternatives or to define a multi-objective utility function for optimization.
License: MIT + file LICENSE
Imports: mcmc, methods, entropy
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-02-22 23:29:46 UTC; jack
Repository: CRAN
Date/Publication: 2017-02-23 08:31:27

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New package neighbr with initial version 1.0
Package: neighbr
Title: Classification, Regression, Clustering with K Nearest Neighbors
Version: 1.0
Authors@R: c( person("Dmitriy", "Bolotov", email = "dmitriy.bolotov@softwareag.com", role = c("aut", "cre")), person("Zementis Inc",role="cph") )
Description: Classification, regression, and clustering with k nearest neighbors algorithm. Implements several distance and similarity measures, covering continuous and logical features. Outputs ranked neighbors. Most features of this package are directly based on the PMML specification for KNN.
Depends: R (>= 3.3.0)
License: GPL (>= 2.1)
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown, mlbench
RoxygenNote: 6.0.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-22 22:44:04 UTC; dmitriy
Author: Dmitriy Bolotov [aut, cre], Zementis Inc [cph]
Maintainer: Dmitriy Bolotov <dmitriy.bolotov@softwareag.com>
Repository: CRAN
Date/Publication: 2017-02-23 08:31:25

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New package extdplyr with initial version 0.1.3
Package: extdplyr
Type: Package
Title: Data Manipulation Extension Based on 'Dplyr' and 'Tidyr'
Version: 0.1.3
Authors@R: person("Yuchen", "Wang", email = "ycwang0712@gmail.com", role = c("aut", "cre"))
Description: If 'dplyr' is a grammar for data manipulation, 'extdplyr' is like a short paragraph written in 'dplyr'. 'extdplyr' extends 'dplyr' and 'tidyr' verbs to some common "routines" that manipulate data sets. It uses the same interface and preserves all the features from 'dplyr', has good performance, and supports various data sources.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, lazyeval
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-22 19:00:42 UTC; Yuchen
Author: Yuchen Wang [aut, cre]
Maintainer: Yuchen Wang <ycwang0712@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-23 08:31:17

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Wed, 22 Feb 2017

New package Mangrove with initial version 1.21
Package: Mangrove
Type: Package
Title: Risk Prediction on Trees
Version: 1.21
Date: 2017-02-22
Author: Luke Jostins
Maintainer: Luke Jostins <luke.jostins@kennedy.ox.ac.uk>
Description: Methods for performing genetic risk prediction from genotype data. You can use it to perform risk prediction for individuals, or for families with missing data.
License: GPL (>= 2)
Suggests: kinship2
LazyLoad: yes
Packaged: 2017-02-22 13:14:51 UTC; lj4
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2017-02-22 17:15:37
NeedsCompilation: no

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New package equSA with initial version 1.0.0
Package: equSA
Type: Package
Title: Estimate a Single or Multiple Graphical Models and Construct Networks
Version: 1.0.0
Date: 2017-02-21
Author: Bochao Jia, Faming Liang, Runmin Shi, Suwa Xu
Maintainer: Bochao Jia <jbc409@ufl.edu>
Depends: R (>= 3.0.2)
Imports: igraph, huge, XMRF, ZIM, mvtnorm
Description: Provides an equivalent measure of partial correlation coefficients for high-dimensional Gaussian Graphical Models to learn and visualize the underlying relationships between variables from single or multiple datasets. You can refer to Liang, F., Song, Q. and Qiu, P. (2015) <doi:10.1080/01621459.2015.1012391> for more detail. Based on this method, the package also provides the method for constructing networks for Next Generation Sequencing Data. Besides, it includes the method for jointly estimating Gaussian Graphical Models of multiple datasets.
License: GPL-2
LazyLoad: true
Packaged: 2017-02-22 14:09:22 UTC; jiabochao
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2017-02-22 17:15:33
RoxygenNote: 6.0.1

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New package geosapi with initial version 0.1-0
Package: geosapi
Type: Package
Title: GeoServer REST API R Interface
Version: 0.1-0
Date: 2017-02-21
Author: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Description: Provides an R interface to the GeoServer REST API, allowing to upload and publish data in a GeoServer web-application and expose data to OGC Web-Services. The package currently supports all CRUD (Create,Read,Update,Delete) operations on GeoServer workspaces, namespaces, datastores (stores of vector data), featuretypes, layers, styles, as well as vector data upload operations. For more information about the GeoServer REST API, see <http://docs.geoserver.org/stable/en/user/rest/>.
Depends: R (>= 3.1.0)
Imports: R6, openssl, httr, XML
Suggests: testthat, roxygen2
License: MIT + file LICENSE
URL: https://github.com/eblondel/geosapi/wiki, http://geoserver.org/
BugReports: https://github.com/eblondel/geosapi/issues
LazyLoad: yes
NeedsCompilation: no
Packaged: 2017-02-22 10:08:33 UTC; Emmanuel
Repository: CRAN
Date/Publication: 2017-02-22 11:40:02

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New package CATT with initial version 1.0
Package: CATT
Type: Package
Title: The Cochran-Armitage Trend Test
Version: 1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: The Cochran-Armitage trend test can be applied to a two by k contingency table. The test statistic (Z) and p-value will be reported. A linear trend in the frequencies will be calculated, because the weights (0,1,2) will be used by default.
License: GPL-3
Depends: R (>= 3.3.2)
Imports: stats
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-02-22 07:53:04 UTC; dzc
Repository: CRAN
Date/Publication: 2017-02-22 09:57:26

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New package restriktor with initial version 0.1-55
Package: restriktor
Title: Restricted Statistical Estimation and Inference for Linear Models
Version: 0.1-55
Authors@R: c(person(given = "Leonard", family = "Vanbrabant", role = c("aut","cre"), email = "Leonard.Vanbrabant@Ugent.be") )
Description: Allow for easy-to-use testing of linear equality and inequality restrictions about parameters and effects in linear, robust linear and generalized linear statistical models.
Depends: R(>= 3.0.0)
Imports: boot, ic.infer, lavaan, MASS, mvtnorm, quadprog
License: GPL (>= 2)
LazyData: yes
URL: http://restriktor.org
NeedsCompilation: no
Packaged: 2017-02-21 21:23:50 UTC; leonardv
Author: Leonard Vanbrabant [aut, cre]
Maintainer: Leonard Vanbrabant <Leonard.Vanbrabant@Ugent.be>
Suggests:
Repository: CRAN
Date/Publication: 2017-02-22 08:42:34

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New package harrietr with initial version 0.2.2
Package: harrietr
Type: Package
Title: Wrangle Phylogenetic Distance Matrices and Other Utilities
Version: 0.2.2
Authors@R: person("Anders", "Gonçalves da Silva", email = "andersgs@gmail.com", role = c("aut", "cre"))
Description: Harriet was Charles Darwin's pet tortoise (possibly). 'harritr' implements some function to manipulate distance matrices and phylogenetic trees to make it easier to plot with 'ggplot2' and to manipulate using 'tidyverse' tools.
Depends: R (>= 3.3.0)
License: GPL-3 | file LICENSE
URL: https://github.com/andersgs/harrietr
BugReports: https://github.com/andersgs/harrietr/issues
Encoding: UTF-8
LazyData: true
Imports: ape (>= 3.5), ggtree (>= 1.6.9), ggplot2 (>= 2.1.0), magrittr (>= 1.5), lazyeval (>= 0.2.0), dplyr (>= 0.5.0), tidyr (>= 0.6.0)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-22 04:41:15 UTC; andersg
Author: Anders Gonçalves da Silva [aut, cre]
Maintainer: Anders Gonçalves da Silva <andersgs@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-22 08:42:32

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New package BCC1997 with initial version 0.1.1
Package: BCC1997
Type: Package
Title: Calculation of Option Prices Based on a Universal Solution
Version: 0.1.1
Author: Haoran Zhang
Maintainer: Haoran Zhang <hzz0017@auburn.edu>
Description: Calculates the prices of European options based on the universal solution provided by Bakshi, Cao and Chen (1997) <doi:10.1111/j.1540-6261.1997.tb02749.x>. This solution considers stochastic volatility, stochastic interest and random jumps. Please cite their work if this package is used.
Depends: R (>= 3.1.0)
Imports: stats
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-02-21 22:38:36 UTC; hzz0017
Repository: CRAN
Date/Publication: 2017-02-22 08:42:11

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New package BayesSpec with initial version 0.5.3
Package: BayesSpec
Type: Package
Title: Bayesian Spectral Analysis Techniques
Version: 0.5.3
Author: Rosen, O., Wood, S. and Stoffer, D.
Maintainer: Andrew Ferris <andrew.ferris@sydney.edu.au>
Description: An implementation of methods for spectral analysis using the Bayesian framework. It includes functions for modelling spectrum as well as appropriate plotting and output estimates. There is segmentation capability with RJ MCMC (Reversible Jump Markov Chain Monte Carlo). The package takes these methods predominantly from the 2012 paper "AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series" <DOI:10.1080/01621459.2012.716340>.
Imports: mvtnorm (>= 1.0-5), pscl (>= 1.4.9), trust (>= 0.1-7)
License: GPL-3
LazyLoad: TRUE
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-21 23:06:27 UTC; andrewferris
Repository: CRAN
Date/Publication: 2017-02-22 08:42:14

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New package bamlss with initial version 0.1-1
Package: bamlss
Version: 0.1-1
Date: 2017-02-21
Title: Bayesian Additive Models for Location Scale and Shape (and Beyond)
Authors@R: c(person(given = "Nikolaus", family = "Umlauf", role = c("aut", "cre"), email = "Nikolaus.Umlauf@uibk.ac.at"), person(given = "Nadja", family = "Klein", role = "aut", email = "nklein@uni-goettingen.de"), person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"), person(given = "Meike", family = "Koehler", role = "aut", email = "Meike.Koehler@helmholtz-muenchen.de"))
Description: R infrastructures for Bayesian regression models.
Depends: R (>= 3.2.3), coda, colorspace, mgcv
Imports: Formula, MBA, mvtnorm, sp, spam, Matrix, survival, methods, parallel
Suggests: akima, bit, fields, gamlss, geoR, rjags, BayesX, BayesXsrc, mapdata, maps, maptools, raster, spatstat, spdep, zoo
License: GPL-2 | GPL-3
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2017-02-21 14:08:05 UTC; nik
Author: Nikolaus Umlauf [aut, cre], Nadja Klein [aut], Achim Zeileis [aut], Meike Koehler [aut]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>
Repository: CRAN
Date/Publication: 2017-02-22 08:48:03

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Tue, 21 Feb 2017

New package rnaturalearthdata with initial version 0.1.0
Package: rnaturalearthdata
Title: World Vector Map Data from Natural Earth Used in 'rnaturalearth'
Version: 0.1.0
Authors@R: person("Andy", "South", , "southandy@gmail.com", role = c("aut", "cre"))
Description: Vector map data from <http://www.naturalearthdata.com/>. Access functions are provided in the accompanying package 'rnaturalearth'.
License: CC0
LazyData: true
LazyDataCompression: xz
URL: https://github.com/ropenscilabs/rnaturalearthdata
BugReports: https://github.com/ropenscilabs/rnaturalearthdata/issues
Depends: R (>= 3.1.1)
Imports: sp (>= 1.0.15)
Suggests: knitr (>= 1.12.3), testthat (>= 0.9.1)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-21 13:45:59 UTC; andy
Author: Andy South [aut, cre]
Maintainer: Andy South <southandy@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-21 15:17:10

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New package mle.tools with initial version 1.0.0
Package: mle.tools
Type: Package
Title: Expected/Observed Fisher Information and Bias-Corrected Maximum Likelihood Estimate(s)
Version: 1.0.0
License: GPL (>= 2)
Date: 2017-02-21
Author: Josmar Mazucheli
Maintainer: Josmar Mazucheli <jmazucheli@gmail.com>
Description: Calculates the expected/observed Fisher information and the bias-corrected maximum likelihood estimate(s) via Cox-Snell Methodology.
Depends: R (>= 3.0.2)
Imports: stats
Suggests: fitdistrplus (>= 1.0-6)
RoxygenNote: 5.0.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-02-21 13:06:25 UTC; josmar
Repository: CRAN
Date/Publication: 2017-02-21 15:17:08

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New package ggimage with initial version 0.0.1
Package: ggimage
Title: Use Image in 'ggplot2'
Version: 0.0.1
Authors@R: person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre"))
Description: Supports aesthetic mapping of image files to be visualized in 'ggplot2' graphic system. files as a scatterplot.
Depends: R (>= 3.3.0)
Imports: EBImage, ggplot2, grid, methods
Suggests: knitr, prettydoc
VignetteBuilder: knitr
ByteCompile: true
License: Artistic-2.0
URL: https://github.com/GuangchuangYu/ggimage
BugReports: https://github.com/GuangchuangYu/ggimage/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-21 12:28:42 UTC; guangchuangyu
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-21 14:18:24

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New package GraphKit with initial version 0.4
Package: GraphKit
Type: Package
Title: Estimating Structural Invariants of Graphical Models
Version: 0.4
Date: 2017-2-20
Author: Manbir Gulati, Junwei Lu, and Han Liu
Maintainer: Manbir Gulati <manbirgulati@gmail.com>
Description: Efficient methods for constructing confidence intervals of monotone graph invariants, as well as testing for monotone graph properties. Many packages are available to estimate precision matrices, this package serves as a tool to extract structural properties from their induced graphs. By iteratively bootstrapping on only the relevant edge set, we are able to obtain the optimal interval size.
License: GPL (>= 2)
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.12.8)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-02-21 10:39:19 UTC; ManiG
Repository: CRAN
Date/Publication: 2017-02-21 12:12:54

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New package woeBinning with initial version 0.1.1
Package: woeBinning
Type: Package
Title: Supervised WOE Binning of Numeric Variables and Factors
Version: 0.1.1
Date: 2017-02-21
Author: Thilo Eichenberg
Maintainer: Thilo Eichenberg <te.r@gmx.net>
Description: Implements an automated fine and coarse classing to bin numeric variables and factors with respect to a dichotomous target variable. Numeric variables are binned by merging a specified initial number of bins with similar frequencies. As a start sparse bins are merged with adjacent ones. Afterwards nearby bins with most similar WOE values are joined step by step until the information value (IV) decreases more than specified by a percentage value. Factors are binned by merging factor levels. At the beginning sparse levels are merged to a 'miscellaneous' level. Afterwards bins with most similar WOE values are joined step by step until the IV decreases more than specified by a percentage value. The package can be used with single variables or an entire data frame. It provides flexible tools for exploring different binning solutions and for deploying them to (new) data.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-21 09:41:26 UTC; Thilo
Repository: CRAN
Date/Publication: 2017-02-21 11:41:15

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New package SPAtest with initial version 1.0.0
Package: SPAtest
Type: Package
Title: Score Test Based on Saddlepoint Approximation
Version: 1.0.0
Date: 2017-02-19
Author: Rounak Dey, Seunggeun Lee
Maintainer: Rounak Dey <deyrnk@umich.edu>
Description: Performs score test using saddlepoint approximation to estimate the null distribution.
Depends: R (>= 3.0.0)
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2017-02-20 02:02:35 UTC; Rounak
Date/Publication: 2017-02-21 08:02:38

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New package RGBM with initial version 1.0-4
Package: RGBM
Type: Package
Title: LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction
Version: 1.0-4
Date: 2017-02-21
Author: Raghvendra Mall [aut, cre], Khalid Kunji [aut], Melissa O'Neill [ctb]
Authors@R: c(person(given = "Raghvendra",family = "Mall",role = c("aut","cre"), email = "rmall@hbku.edu.qa"), person(given="Khalid",family="Kunji",role="aut",email = "kkunji@hbku.edu.qa"), person(given="Melissa",family="O'Neill",role="ctb"))
Maintainer: Raghvendra Mall <rmall@hbku.edu.qa>
Repository: CRAN
Description: Provides an implementation of Regularized LS-TreeBoost & LAD-TreeBoost algorithm for Regulatory Network inference from any type of expression data (Microarray/RNA-seq etc).
License: GPL (>= 3)
LazyLoad: yes
Depends: foreach, plyr, doParallel
NeedsCompilation: yes
Packaged: 2017-02-21 06:58:57 UTC; rmall
Date/Publication: 2017-02-21 08:43:21

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New package nonpar with initial version 1.0.0
Package: nonpar
Type: Package
Title: A Collection of Nonparametric Hypothesis Tests
Version: 1.0.0
Author: D. Lukke Sweet
Maintainer: D. Lukke Sweet <dls229@zips.uakron.edu>
Depends: R (>= 3.3.1)
Imports: methods
Description: Contains the following 5 nonparametric hypothesis tests: The Sign Test, The 2 Sample Median Test, Miller's Jackknife Procedure, Cochran's Q Test, & The Stuart-Maxwell Test.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2017-02-21 00:53:34 UTC; Lukke
Repository: CRAN
Date/Publication: 2017-02-21 08:02:43

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Mon, 20 Feb 2017

New package vote with initial version 1.0-0
Package: vote
Type: Package
Title: Election Vote Counting
Version: 1.0-0
Date: 2017-02-17
Author: Hana Sevcikova, Bernard Silverman, Adrian Raftery
Maintainer: Hana Sevcikova<hanas@uw.edu>
Description: Counting election votes and determining election results by different methods, including the single transferable vote, approval, score and plurality methods.
Imports: formattable, knitr
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-02-18 02:35:15 UTC; hana
Repository: CRAN
Date/Publication: 2017-02-21 00:16:00

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New package stdvectors with initial version 0.0.5
Package: stdvectors
Type: Package
Title: C++ Standard Library Vectors in R
Version: 0.0.5
Date: 2017-02-20
Author: Marco Giuliano
Maintainer: Marco Giuliano <mgiuliano.mail@gmail.com>
Description: Allows the creation and manipulation of C++ std::vector's in R.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4)
URL: https://github.com/digEmAll/stdvectors
BugReports: https://github.com/digEmAll/stdvectors/issues
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-02-20 21:42:50 UTC; marco
Repository: CRAN
Date/Publication: 2017-02-21 00:14:31

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New package RcppBlaze with initial version 0.1.0
Package: RcppBlaze
Type: Package
Title: 'Rcpp' Integration for the 'Blaze' High-Performance C++ Math Library
Version: 0.1.0
Date: 2017-02-21
Author: Ching-Chuan Chen, Klaus Iglberger, Georg Hager, Christian Godenschwager, Tobias Scharpff
Maintainer: Ching-Chuan Chen <zw12356@gmail.com>
URL: https://github.com/Chingchuan-chen/RcppBlaze, https://bitbucket.org/blaze-lib/blaze
BugReports: https://github.com/Chingchuan-chen/RcppBlaze/issues
Description: 'Blaze' is an open-source, high-performance C++ math library for dense and sparse arithmetic. With its state-of-the-art Smart Expression Template implementation Blaze combines the elegance and ease of use of a domain-specific language with HPC-grade performance, making it one of the most intuitive and fastest C++ math libraries available. The Blaze library offers: - high performance through the integration of BLAS libraries and manually tuned HPC math kernels - vectorization by SSE, SSE2, SSE3, SSSE3, SSE4, AVX, AVX2, AVX-512, FMA, and SVML - parallel execution by OpenMP, C++11 threads and Boost threads (Boost threads is disables in RcppBlaze) - the intuitive and easy to use API of a domain specific language - unified arithmetic with dense and sparse vectors and matrices - thoroughly tested matrix and vector arithmetic - completely portable, high quality C++ source code The RcppBlaze package includes the header files from the Blaze library with disabling some functionalities related to link to the thread and system libraries which make RcppBlaze be a header-only library. Therefore, users do not need to install Blaze and the dependency Boost. Blaze is licensed under the New (Revised) BSD license, while RcppBlaze (the Rcpp bindings/bridge to Blaze) is licensed under the GNU GPL version 2 or later, as is the rest of Rcpp. Note that since latest version of Blaze (3.0) commit to C++14 which does not used by most R users, we will use the version 2.6 of Blaze which is C++98 compatible to support the most compilers and system.
Depends: R (>= 3.0.2)
Imports: utils, Rcpp (>= 0.11.0), Matrix (>= 1.1-0)
LinkingTo: Rcpp, BH (>= 1.54.0-2)
Suggests: RUnit, pkgKitten
LazyData: yes
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-02-20 18:16:27 UTC; Celest
Repository: CRAN
Date/Publication: 2017-02-20 19:48:38

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New package metavcov with initial version 0.1
Package: metavcov
Type: Package
Title: Variance-Covariance Matrix for Multivariate Meta-Analysis
Version: 0.1
Date: 2017-01-21
Author: Min Lu
Maintainer: Min Lu <m.lu6@umiami.edu>
Description: Compute variance-covariance matrix for multivariate meta-analysis. Effect sizes include correlation (r), mean difference (MD), standardized mean difference (SMD), log odds ratio (logOR), log risk ratio (logRR), and risk difference (RD).
Depends: corpcor
License: GPL (>= 2)
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-02-20 18:18:25 UTC; mlu6
Repository: CRAN
Date/Publication: 2017-02-20 19:48:43

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New package dlib with initial version 1.0
Package: dlib
Type: Package
Title: Allow Access to the 'Dlib' C++ Library
License: BSL-1.0
Version: 1.0
Date: 2017-02-01
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Author: Jan Wijffels, BNOSAC and Davis King
Description: Interface for 'Rcpp' users to 'dlib' <http://dlib.net> which is a 'C++' toolkit containing machine learning algorithms and computer vision tools. It is used in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. This package allows R users to use 'dlib' through 'Rcpp'.
LinkingTo: Rcpp
Imports: Rcpp
Suggests: inline, magick
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-02-20 15:38:33 UTC; bnosac
Repository: CRAN
Date/Publication: 2017-02-20 17:23:08

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New package wrangle with initial version 0.3
Package: wrangle
Type: Package
Title: A Systematic Data Wrangling Idiom
Version: 0.3
Date: 2017-02-20
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: Supports systematic scrutiny, modification, and integration of data. The function status() counts rows that have missing values in grouping columns (returned by na() ), have non-unique combinations of grouping columns (returned by dup() ), and that are not locally sorted (returned by unsorted() ). Functions enumerate() and itemize() give sorted unique combinations of columns, with or without occurrence counts, respectively. Function ignore() drops columns in x that are present in y, and informative() drops columns in x that are entirely NA. Data that have defined unique combinations of grouping values behave more predictably during merge operations.
License: GPL-3
LazyData: TRUE
Imports: dplyr, tidyr, lazyeval, magrittr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-20 14:08:49 UTC; tbergsma
Repository: CRAN
Date/Publication: 2017-02-20 15:23:18

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New package glmmTMB with initial version 0.1.1
Package: glmmTMB
Title: Generalized Linear Mixed Models using Template Model Builder
Version: 0.1.1
Date: 2017-1-30
Authors@R: c(person("Arni","Magnusson",role="aut"), person("Hans","Skaug",role="aut"), person("Anders","Nielsen",role="aut"), person("Casper","Berg",role="aut"), person("Kasper","Kristensen",role="aut"), person("Martin","Maechler",role="aut"), person("Koen","van Bentham",role="aut"), person("Ben","Bolker",role="aut"), person("Mollie","Brooks",role=c("aut","cre"), email="mollieebrooks@gmail.com"))
Description: Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.
License: AGPL-3
Imports: methods, TMB (>= 1.7.6), lme4 (>= 1.1-10), Matrix, nlme
LinkingTo: TMB, RcppEigen
Suggests: knitr, testthat, MASS, lattice, ggplot2, mlmRev, bbmle, pscl, MCMCpack, coda, reshape2
VignetteBuilder: knitr
URL: https://github.com/glmmTMB
LazyData: TRUE
BugReports: https://github.com/glmmTMB/glmmTMB/issues
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-02-19 19:15:52 UTC; molliebrooks1
Author: Arni Magnusson [aut], Hans Skaug [aut], Anders Nielsen [aut], Casper Berg [aut], Kasper Kristensen [aut], Martin Maechler [aut], Koen van Bentham [aut], Ben Bolker [aut], Mollie Brooks [aut, cre]
Maintainer: Mollie Brooks <mollieebrooks@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-20 15:23:16

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New package AWR.KMS with initial version 0.1
Type: Package
Package: AWR.KMS
Maintainer: Gergely Daroczi <gergely.daroczi@card.com>
Author: Gergely Daroczi <gergely.daroczi@card.com>
Title: A Simple Client to the 'AWS' Key Management Service
Description: Encrypt plain text and 'decrypt' cipher text using encryption keys hosted at Amazon Web Services ('AWS') Key Management Service ('KMS'), on which see <https://aws.amazon.com/kms> for more information.
Version: 0.1
Date: 2017-02-19
URL: https://github.com/cardcorp/AWR.KMS
License: AGPL-3
Imports: AWR, rJava, jsonlite
NeedsCompilation: no
Packaged: 2017-02-20 00:07:59 UTC; daroczig
Repository: CRAN
Date/Publication: 2017-02-20 10:16:40

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New package GSparO with initial version 1.0
Package: GSparO
Title: Group Sparse Optimization
Version: 1.0
Authors@R: c(person("Yaohua", "Hu", email = "mayhhu@szu.edu.cn", role = c("aut","cre","cph")),person("Xinlin", "Hu", email = "ramakstt@gmail.com", role = c("trl")))
Description: Approaches a group sparse solution of an underdetermined linear system. It implements the proximal gradient algorithm to solve a lower regularization model of group sparse learning. For details, please refer to the paper "Y. Hu, C. Li, K. Meng, J. Qin and X. Yang. Group sparse optimization via l_{p,q} regularization. Journal of Machine Learning Research, to appear, 2017".
Depends: R (>= 3.3.1)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: stats,ThreeWay,ggplot2
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-20 04:02:36 UTC; Administrator
Author: Yaohua Hu [aut, cre, cph], Xinlin Hu [trl]
Maintainer: Yaohua Hu <mayhhu@szu.edu.cn>
Repository: CRAN
Date/Publication: 2017-02-20 08:11:11

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New package colorr with initial version 1.0.0
Package: colorr
Type: Package
Title: Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams
Version: 1.0.0
Authors@R: person("Charles", "Crabtree", role = c("aut", "cre"), email = "ccrabtr@umich.edu")
Description: Color palettes for EPL, MLB, NBA, NHL, and NFL teams.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-19 23:04:34 UTC; cdcrabtree
Author: Charles Crabtree [aut, cre]
Maintainer: Charles Crabtree <ccrabtr@umich.edu>
Repository: CRAN
Date/Publication: 2017-02-20 08:11:16

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New package ChoR with initial version 0.0-1
Package: ChoR
Title: Chordalysis R Package
Version: 0.0-1
Date: 2017-02-20
Authors@R: c( person(given = "François", family = "Petitjean", role = "aut"), person(given = "Matthieu", family = "Herrmann", role = c("aut", "com", "cre"), email = "matthieu.herrmann@monash.edu"), person(given = "Christoph", family = "Bergmeir", role = c("ctb")) )
Description: Learning the structure of graphical models from datasets with thousands of variables. More information about the research papers detailing the theory behind Chordalysis is available at <http://www.francois-petitjean.com/Research> (KDD 2016, SDM 2015, ICDM 2014, ICDM 2013). The R package development site is <https://github.com/HerrmannM/Monash-ChoR>.
Imports: rJava (>= 0.9.8), stats
Suggests: graph (>= 1.52.0), Rgraphviz (>= 2.18.0)
SystemRequirements: Java (>= 1.8)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: no
LazyData: true
Packaged: 2017-02-20 05:04:15 UTC; matthieu
Author: François Petitjean [aut], Matthieu Herrmann [aut, com, cre], Christoph Bergmeir [ctb]
Maintainer: Matthieu Herrmann <matthieu.herrmann@monash.edu>
Repository: CRAN
Date/Publication: 2017-02-20 08:11:09

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Sun, 19 Feb 2017

New package upmfit with initial version 0.1.0
Package: upmfit
Type: Package
Title: Unified Probability Model Fitting
Version: 0.1.0
Authors@R: person("Avery", "McIntosh", email = "aimcinto@bu.edu", role = c("aut", "cre"))
Description: Fitting a Unified Probability Model for household-community tuberculosis transmission dynamics.
URL: http://people.bu.edu/aimcinto/
Depends: R (>= 3.2.1)
License: GPL-3
LazyData: TRUE
Imports: stats, R2jags, mcmcplots
Suggests: doMC, knitr, rmarkdown
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-18 23:40:30 UTC; Avery
Author: Avery McIntosh [aut, cre]
Maintainer: Avery McIntosh <aimcinto@bu.edu>
Repository: CRAN
Date/Publication: 2017-02-19 10:53:41

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New package SARP.moodle with initial version 0.3.6
Package: SARP.moodle
Type: Package
Title: XML Output Functions for Easy Creation of Moodle Questions
Version: 0.3.6
Date: 2017-02-09
Authors@R: person( "Emmanuel", "Curis", email = "emmanuel.curis@parisdescartes.fr", role = c( "aut", "cre" ) )
Maintainer: Emmanuel Curis <emmanuel.curis@parisdescartes.fr>
License: Artistic-2.0
Description: Provides a set of basic functions for creating Moodle XML output files suited for importing questions in Moodle (a learning management system, see <https://moodle.org/> for more information).
Suggests:
Depends:
Imports: stats,utils
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-02-19 06:00:17 UTC; curis
Author: Emmanuel Curis [aut, cre]
Repository: CRAN
Date/Publication: 2017-02-19 10:53:30

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New package fitur with initial version 0.1.0
Package: fitur
Title: Fit Univariate Distributions
Version: 0.1.0
Authors@R: person("Thomas", "Roh", email = "thmsroh@gmail.com", role = c("aut", "cre"))
Description: Wrapper for computing parameters and then assigning to distribution function families.
Depends: R (>= 3.3.2)
Imports: fitdistrplus
Suggests: knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-18 22:55:07 UTC; Thomas Roh
Author: Thomas Roh [aut, cre]
Maintainer: Thomas Roh <thmsroh@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-19 10:53:34

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Sat, 18 Feb 2017

New package randgeo with initial version 0.1.0
Package: randgeo
Title: Generate Random 'WKT' or 'GeoJSON'
Description: Generate random positions (latitude/longitude), Well-known text (WKT) points or polygons, or 'GeoJSON' points or polygons.
Version: 0.1.0
Authors@R: person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com")
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ropensci/randgeo
BugReports: https://github.com/ropensci/randgeo/issues
VignetteBuilder: knitr
Suggests: roxygen2 (>= 6.0.1), rmarkdown, knitr, testthat, covr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-17 23:56:32 UTC; sacmac
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-18 21:23:04

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New package merDeriv with initial version 0.1-1
Package: merDeriv
Title: Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
Version: 0.1-1
Authors@R: c(person(given = "Ting", family = "Wang", role = c("aut", "cre"), email = "twb8d@mail.missouri.edu"), person(given = "Edgar", family = "Merkle", role = c("aut"), email = "merklee@missouri.edu") )
Description: Compute analytic case-wise and cluster-wise derivative for mixed effects models with respect to fixed effects parameter, random effect (co)variances, and residual variance.
Depends: R (>= 3.2.3)
Imports: methods, stats, utils, sandwich, Matrix, lme4, nonnest2
License: GPL (>= 2)
LazyData: yes
URL: http://semtools.r-forge.r-project.org
NeedsCompilation: no
Author: Ting Wang [aut, cre], Edgar Merkle [aut]
Maintainer: Ting Wang <twb8d@mail.missouri.edu>
Packaged: 2017-02-17 23:01:17 UTC; ting
Repository: CRAN
Date/Publication: 2017-02-18 21:23:01

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New package encode with initial version 0.2
Package: encode
Type: Package
Title: Represent Ordered Lists and Pairs as Strings
Version: 0.2
Date: 2017-02-18
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: Interconverts between ordered lists and compact string notation. Useful for capturing code lists, and pair-wise codes and decodes, for text storage. Analogous to factor levels and labels. Generics 'encode' and 'decode' perform interconversion, while 'codes' and 'decodes' extract components of an encoding. The function 'encoded' checks whether something is interpretable as an encoding.
License: GPL-3
LazyData: TRUE
Imports:
Suggests:
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-18 16:09:26 UTC; tbergsma
Repository: CRAN
Date/Publication: 2017-02-18 21:22:59

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New package csv with initial version 0.3
Package: csv
Type: Package
Title: Read and Write CSV Files with Selected Conventions
Version: 0.3
Date: 2017-02-18
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: Reads and writes CSV with selected conventions. Uses the same generic function for reading and writing to promote consistent formats.
License: GPL-3
LazyData: TRUE
Imports:
Suggests:
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-18 14:04:32 UTC; tbergsma
Repository: CRAN
Date/Publication: 2017-02-18 21:22:58

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Fri, 17 Feb 2017

New package LCF with initial version 1.6-6
Package: LCF
Title: Linear Combination Fitting
Version: 1.6-6
Date: 2017-02-14
Authors@R: person("Florian", "Werner", email = "florian.werner@wzw.tum.de", role = c("aut", "cre"))
Author: Florian Werner [aut, cre]
Maintainer: Florian Werner <florian.werner@wzw.tum.de>
Description: Baseline correction, normalization and linear combination fitting (LCF) of X-ray absorption near edge structure (XANES) spectra. The package includes data loading of .xmu files exported from 'ATHENA' (Ravel and Newville, 2005) <doi:10.1107/S0909049505012719>. Loaded spectra can be background corrected and all standards can be fitted at once. Two linear combination fitting functions can be used: (1) fit_athena(): Simply fitting combinations of standards as in ATHENA, (2) fit_float(): Fitting all standards with changing baseline correction and edge-step normalization parameters.
Depends: R (>= 3.2.1)
License: GPL-3
Imports: quadprog
Repository: CRAN
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-17 14:23:44 UTC; kubuntu
Date/Publication: 2017-02-17 19:08:33

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New package tsiR with initial version 0.1.0
Package: tsiR
Type: Package
Title: An Implementation of the TSIR Model
Version: 0.1.0
Date: 2017-02-16
Authors@R: c(person("Alexander D.","Becker", role=c("aut","cre"),email="adbecker@princeton.edu"), person("Sinead E.","Morris",role=c("ctb")))
Description: An implementation of the time-series Susceptible-Infected-Recovered (TSIR) model using a number of different fitting options for infectious disease time series data. The method implemented here is described by Finkenstadt and Grenfell (2000) <DOI:10.1111/1467-9876.00187>.
Depends: R (>= 3.1.0)
License: GPL-3
LazyData: true
Imports: ggplot2, kernlab, reshape2, grid
Contact: adbecker at princeton dot edu
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-16 21:41:05 UTC; adbecker
Author: Alexander D. Becker [aut, cre], Sinead E. Morris [ctb]
Maintainer: Alexander D. Becker <adbecker@princeton.edu>
Repository: CRAN
Date/Publication: 2017-02-17 14:38:22

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New package prcr with initial version 0.1.0
Package: prcr
Type: Package
Title: Person-Centered Analysis
Version: 0.1.0
Author: person("Joshua", "Rosenberg", role = c("aut", "cre"), email = "jmichaelrosenberg@gmail.com")
Maintainer: Joshua Rosenberg <jmichaelrosenberg@gmail.com>
Description: While person-centered analysis is increasingly common in psychology, education, and related fields, carrying it out is challenging. The prcr package provides an easy-to-use yet adaptable set of tools to conduct person-center analysis.
License: MIT + file LICENSE
LazyData: TRUE
Imports: dplyr, tidyr, ggplot2, tibble
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-17 12:15:35 UTC; joshuarosenberg
Repository: CRAN
Date/Publication: 2017-02-17 14:38:21

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New package marinespeed with initial version 0.1.0
Package: marinespeed
Type: Package
Title: Benchmark Data Sets and Functions for Marine Species Distribution Modelling
Version: 0.1.0
Date: 2017-02-16
Depends: R (>= 3.2.5)
Imports: stats, utils, graphics, grDevices, geosphere, sp, bit
Authors@R: person("Samuel", "Bosch", email = "mail@samuelbosch.com", role = c("aut", "cre"))
Description: A collection of marine species benchmark data sets and functions for species distribution modelling (ecological niche modelling).
License: GPL (>= 3)
URL: http://www.samuelbosch.com/p/marinespeed.html
BugReports: https://github.com/samuelbosch/marinespeed/issues
LazyData: TRUE
Suggests: biomod2, dismo, FNN, testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-17 10:50:08 UTC; swbosch
Author: Samuel Bosch [aut, cre]
Maintainer: Samuel Bosch <mail@samuelbosch.com>
Repository: CRAN
Date/Publication: 2017-02-17 14:38:16

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New package lmvar with initial version 1.0.0
Package: lmvar
Type: Package
Title: Linear Regression with Non-Constant Variances
Version: 1.0.0
Author: Posthuma Partners <info@posthuma-partners.nl>
Maintainer: Marco Nijmeijer <nijmeijer@posthuma-partners.nl>
Description: Runs a linear regression in which both the expected value and the variance can vary per observation. The expected values mu follows the standard linear model mu = X_mu * beta_mu. The standard deviation sigma follows the model log(sigma) = X_sigma * beta_sigma. The package comes with two vignettes: 'Intro' gives an introduction, 'Math' gives mathematical details.
License: GPL-3
LazyData: TRUE
Imports: Matrix (>= 1.2-4), matrixcalc (>= 1.0-3), nleqslv (>= 3.0.3), stats (>= 3.2.5)
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, R.rsp
VignetteBuilder: knitr, R.rsp
NeedsCompilation: no
Packaged: 2017-02-16 16:39:12 UTC; Marc
Repository: CRAN
Date/Publication: 2017-02-17 14:38:14

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New package FactorsR with initial version 1.1
Package: FactorsR
Version: 1.1
Title: Identification of the Factors Affecting Species Richness
Author: Cstor Guisande Gonzlez
Maintainer: Cstor Guisande Gonzlez <castor@uvigo.es>
Description: It identifies the factors significantly related to species richness, and their relative contribution, using multiple regressions and support vector machine models. It uses an output file of 'ModestR' (<http://www.ipez.es/ModestR>) with data of richness of the species and environmental variables in a cell size defined by the user. The residuals of the support vector machine model are shown on a map. Negative residuals may be potential areas with undiscovered and/or unregistered species, or areas with decreased species richness due to the negative effect of anthropogenic factors.
License: GPL (>= 2)
Encoding: latin1
Depends: R (>= 3.0.0)
Suggests: plotrix, relaimpo, nortest, lmtest, car, kernlab, usdm, hier.part
NeedsCompilation: no
Packaged: 2017-02-17 12:31:45 UTC; castor
Repository: CRAN
Date/Publication: 2017-02-17 14:37:59

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New package educineq with initial version 0.1.0
Package: educineq
Type: Package
Title: Compute and Decompose Inequality in Education
Version: 0.1.0
Authors@R: c( person("Vanesa", "Jorda", email = "jordav@unican.es", role =c("aut", "cre")), person("Jose Manuel", "Alonso", email = "jmanuel.alonsoalonso@unican.es", role = "aut"))
Maintainer: Vanesa Jorda <jordav@unican.es>
Description: Easily compute education inequality measures and the distribution of educational attainments for any group of countries, using the data set developed in Jorda, V. and Alonso, JM. (2017) <DOI:10.1016/j.worlddev.2016.10.005>. The package offers the possibility to compute not only the Gini index, but also generalized entropy measures for different values of the sensitivity parameter. In particular, the package includes functions to compute the mean log deviation, which is more sensitive to the bottom part of the distribution; the Theil’s entropy measure, equally sensitive to all parts of the distribution; and finally, the GE measure when the sensitivity parameter is set equal to 2, which gives more weight to differences in higher education. The decomposition of these measures in the components between-country and within-country inequality is also provided. Two graphical tools are also provided, to analyse the evolution of the distribution of educational attainments: The cumulative distribution function and the Lorenz curve.
Depends: R (>= 2.10)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ineq, flexsurv
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-17 07:17:50 UTC; Vanesa
Author: Vanesa Jorda [aut, cre], Jose Manuel Alonso [aut]
Repository: CRAN
Date/Publication: 2017-02-17 14:38:11

More information about educineq at CRAN
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New package dataseries with initial version 0.1.0
Package: dataseries
Type: Package
Title: Switzerland's Data Series in One Place
Version: 0.1.0
Date: 2017-02-17
Author: Christoph Sax
Maintainer: Christoph Sax <christoph.sax@gmail.com>
Description: Download and import time series from <http://www.dataseries.org>, a comprehensive and up-to-date collection of open data from Switzerland.
Suggests: xts
License: GPL-3
URL: http://www.dataseries.org
BugReports: https://github.com/christophsax/dataseries
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-17 08:29:05 UTC; christoph
Repository: CRAN
Date/Publication: 2017-02-17 14:38:08

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Thu, 16 Feb 2017

New package ProliferativeIndex with initial version 1.0.0
Package: ProliferativeIndex
Title: Calculates and Analyzes the Proliferative Index
Version: 1.0.0
Authors@R: c(person("Brittany", "Lasseigne", role = c("aut", "cre"), email = "brittany.lasseigne@gmail.com"), person("Ryne", "Ramaker", role = "aut", email = "ryneramaker@gmail.com"))
Description: Provides functions for calculating and analyzing the proliferative index (PI) from an RNA-seq dataset. As described in Ramaker & Lasseigne, et al. bioRxiv, 2016 <doi:10.1101/063057>.
Depends: R (>= 3.0.0)
Imports: graphics, stats
License: MIT + file LICENSE
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-16 15:32:54 UTC; brittany
Author: Brittany Lasseigne [aut, cre], Ryne Ramaker [aut]
Maintainer: Brittany Lasseigne <brittany.lasseigne@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-16 17:57:08

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New package opusminer with initial version 0.1-0
Package: opusminer
Type: Package
Title: OPUS Miner Algorithm for Filtered Top-k Association Discovery
Version: 0.1-0
Authors@R: c( person("Geoffrey I", "Webb", role = c("aut", "cph"), comment = "OPUS Miner algorithm and C++ implementation, http://i.giwebb.com/index.php/research/association-discovery/"), person("Christoph", "Bergmeir", email = "christoph.bergmeir@monash.edu", role = c("ctb", "cre")), person("Angus", "Dempster", role = c("ctb", "cph"), comment = "R interface"))
Description: Provides a simple R interface to the OPUS Miner algorithm (implemented in C++) for finding the top-k productive, non-redundant itemsets from transaction data. The OPUS Miner algorithm uses the OPUS search algorithm to efficiently discover the key associations in transaction data, in the form of self-sufficient itemsets, using either leverage or lift. See <http://i.giwebb.com/index.php/research/association-discovery/> for more information in relation to the OPUS Miner algorithm.
License: GPL-3
Copyright: OPUS Miner algorithm and C++ implementation Copyright (C) 2012-2017 Geoffrey I Webb, R interface Copyright (C) 2017 Angus Dempster.
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.9), arules (>= 1.5-0), Matrix (>= 1.2-7), methods
LinkingTo: Rcpp
RoxygenNote: 6.0.0
NeedsCompilation: yes
Packaged: 2017-02-16 08:01:34 UTC; Angus
Author: Geoffrey I Webb [aut, cph] (OPUS Miner algorithm and C++ implementation, http://i.giwebb.com/index.php/research/association-discovery/), Christoph Bergmeir [ctb, cre], Angus Dempster [ctb, cph] (R interface)
Maintainer: Christoph Bergmeir <christoph.bergmeir@monash.edu>
Repository: CRAN
Date/Publication: 2017-02-16 12:32:12

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New package spatstat.utils with initial version 1.2-8
Package: spatstat.utils
Version: 1.2-8
Date: 2017-02-15
Title: Experimental Subset of 'spatstat' Utilities
Authors@R: c(person("Adrian", "Baddeley", role = c("aut", "cre"), email = "Adrian.Baddeley@curtin.edu.au"), person("Rolf", "Turner", role = "aut", email="r.turner@auckland.az.nz"), person("Ege", "Rubak", role = "aut", email = "rubak@math.aau.dk"))
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Depends: R (>= 3.3.0), stats, graphics, grDevices, utils, methods
Suggests: spatstat
Description: This is an experimental package containing a subset of 'spatstat'.
License: GPL (>= 2)
URL: http://www.spatstat.org
LazyData: true
NeedsCompilation: yes
ByteCompile: true
BugReports: https://github.com/spatstat/spatstat.utils/issues
Packaged: 2017-02-16 06:58:56 UTC; adrian
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut]
Repository: CRAN
Date/Publication: 2017-02-16 08:14:40

More information about spatstat.utils at CRAN
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New package spdownscale with initial version 0.1.0
Package: spdownscale
Type: Package
Title: Spatial Downscaling Using Bias Correction Approach
Version: 0.1.0
Author: Rasheed AM, Egodawatta P, Goonetilleke A, McGree J
Maintainer: Rasheed AM <a.rasheed@qut.edu.au>
Description: Spatial downscaling of climate data (Global Circulation Models/Regional Climate Models) using quantile-quantile bias correction technique.
License: GPL-2
LazyData: TRUE
Imports: stats, graphics
Depends: R (>= 2.10)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-16 01:09:53 UTC; rasheeda
Repository: CRAN
Date/Publication: 2017-02-16 07:55:43

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New package rope with initial version 1.0
Package: rope
Title: Model Selection with FDR Control of Selected Variables
Version: 1.0
Author: Jonatan Kallus [aut, cre]
Maintainer: Jonatan Kallus <kallus@chalmers.se>
Authors@R: person("Jonatan", "Kallus", email = "kallus@chalmers.se", role = c("aut", "cre"))
Description: Selects one model with variable selection FDR controlled at a specified level. A q-value for each potential variable is also returned. The input, variable selection counts over many bootstraps for several levels of penalization, is modeled as coming from a beta-binomial mixture distribution.
Depends: R (>= 3.1.0)
Suggests: Matrix, parallel, knitr, rmarkdown
License: GPL-3
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-15 20:43:22 UTC; jonatan
Repository: CRAN
Date/Publication: 2017-02-16 07:55:41

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New package chinese.misc with initial version 0.1.0
Package: chinese.misc
Type: Package
Title: Miscellaneous Tools for Chinese Text Mining and More
Version: 0.1.0
Date: 2017-02-14
Author: Jiang Wu
Maintainer: Jiang Wu <textidea@sina.com>
Description: Efforts are made to make Chinese text mining easier, faster, and robust to errors. Document term matrix can be generated by only one line of code; detecting encoding, segmenting and removing stop words are done automatically. Some convenient tools are also supplied.
License: GPL-3
Depends: R (>= 3.3.2)
Imports: jiebaR, NLP, tm, Ruchardet, stringi
Encoding: UTF-8
LazyLoad: true
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-16 03:54:15 UTC; useruser
Repository: CRAN
Date/Publication: 2017-02-16 07:55:36

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Wed, 15 Feb 2017

New package yesno with initial version 0.0.2
Package: yesno
Title: Ask a Custom Yes-No Question
Version: 0.0.2
Date: 2017-02-15
Authors@R: c( person("Hadley", "Wickham", email = "hadley@rstudio.com", role = "aut"), person("Joe", "Thorley", email = "joe@poissonconsulting.ca", role = c("com", "cre")))
Description: Asks a custom Yes-No question with variable responses. The order and phrasing of the possible responses varies randomly to ensure the user consciously chooses (as opposed to automatically types their response).
License: GPL (>= 2)
Depends: R (>= 3.3.0)
Imports: utils
Suggests: testthat, covr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-15 18:29:07 UTC; joe
Author: Hadley Wickham [aut], Joe Thorley [com, cre]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>
Repository: CRAN
Date/Publication: 2017-02-15 20:55:08

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New package velociraptr with initial version 1.0
Package: velociraptr
Type: Package
Title: Fossil Analysis
Version: 1.0
Author: Andrew A. Zaffos
Maintainer: Andrew A Zaffos <azaffos@wisc.edu>
Description: Functions for downloading, reshaping, culling, cleaning, and analyzing fossil data from the Paleobiology Database <https://paleobiodb.org>.
License: GPL-3
Encoding: UTF-8
Depends: rgdal,RCurl
LazyData: true
RoxygenNote: 5.0.1
Packaged: 2017-02-15 18:20:07 UTC; zaffos
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-02-15 20:25:34

More information about velociraptr at CRAN
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New package pacotest with initial version 0.2
Package: pacotest
Type: Package
Title: Testing for Partial Copulas and the Simplifying Assumption in Vine Copulas
Version: 0.2
Date: 2017-02-13
Authors@R: person("Malte S.", "Kurz", email = "malte.kurz@stat.uni-muenchen.de", role = c("aut", "cre"))
Maintainer: Malte S. Kurz <malte.kurz@stat.uni-muenchen.de>
Description: Routines for two different test types, the Equal Correlation (ECORR) test and the Vectorial Independence (VI) test are provided. The tests can be applied to check whether a conditional copula coincides with its partial copula. Functions to test whether a regular vine copula satisfies the so-called simplifying assumption or to test a single copula within a regular vine copula to be a (j-1)-th order partial copula are available. The ECORR test comes with a decision tree approach to allow testing in high-dimensional settings.
License: MIT + file LICENSE
Imports: Rcpp (>= 0.11.4), VineCopula (>= 2.0.5), numDeriv, ggplot2(>= 2.0.0), gridExtra, methods
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, covr
BugReports: http://github.com/MalteKurz/pacotest/issues
NeedsCompilation: yes
Packaged: 2017-02-15 15:15:43 UTC; malte
Author: Malte S. Kurz [aut, cre]
Repository: CRAN
Date/Publication: 2017-02-15 16:47:14

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New package Jdmbs with initial version 1.0
Package: Jdmbs
Type: Package
Title: Monte Carlo Option Pricing Algorithm for Jump Diffusion Model with Correlation Companies
Version: 1.0
Date: 2017-02-15
Authors@R: c( person("Masashi", "Okada", role = c("aut", "cre"), email="okadaalgorithm@gmail.com") )
Description: Black-Scholes Model [Black (1973) <doi:10.1086/260062>] is important to calculate option premium in the stock market. And variety of improved models are studied. In this package, I proposed functions in order to calculate normal and new Jump Diffusion Models [Kou (2002) <doi:10.1287/mnsc.48.8.1086.166>] by Monte Carlo Method. This package can be used for Computational Finance.
Depends: R (>= 3.2.3)
License: GPL (>= 2)
Imports: igraph, rmarkdown, graphics, stats, utils
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Maintainer: Masashi Okada <okadaalgorithm@gmail.com>
Suggests: knitr, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-15 14:33:21 UTC; okada
Author: Masashi Okada [aut, cre]
Repository: CRAN
Date/Publication: 2017-02-15 16:47:11

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New package warpMix with initial version 0.1.0
Package: warpMix
Title: Mixed Effects Modeling with Warping for Functional Data Using B-Spline
Version: 0.1.0
Author: Emilie Devijver, Gerda Claeskens, Irene Gijbels
Maintainer: Emilie Devijver <emilie.devijver@kuleuven.be>
Description: Mixed effects modeling with warping for functional data using B- spline. Warping coefficients are considered as random effects, and warping functions are general functions, parameters representing the projection onto B- spline basis of a part of the warping functions. Warped data are modelled by a linear mixed effect functional model, the noise is Gaussian and independent from the warping functions.
License: GPL (>= 3)
LazyData: TRUE
Imports: fda (>= 2.4.4), fields (>= 8.4-1), MASS (>= 7.3-44), reshape2 (>= 1.4.2), nlme (>= 3.1-128), lme4 (>= 1.1-12)
Depends: R (>= 3.3.2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-15 13:43:41 UTC; u0106095
Repository: CRAN
Date/Publication: 2017-02-15 15:11:39

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New package ipft with initial version 0.1.03
Package: ipft
Type: Package
Title: Indoor Positioning Fingerprinting Toolset
Depends: R (>= 2.10)
Version: 0.1.03
Author: Emilio Sansano
Maintainer: Emilio Sansano <esansano@uji.es>
Description: Algorithms and utility functions for indoor positioning using fingerprinting techniques. These functions are designed for manipulation of RSSI data sets, estimation of positions, comparison of the performance of different models, and graphical visualization of data. Machine learning algorithms and methods such as k-nearest neighbors or probabilistic fingerprinting are implemented in this package to perform analysis and estimations over RSSI data sets.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
LinkingTo: Rcpp
Imports: Rcpp, methods, stats, apcluster, cluster, dplyr, ggplot2
NeedsCompilation: yes
Packaged: 2017-02-14 16:59:30 UTC; emilio
Repository: CRAN
Date/Publication: 2017-02-15 14:28:35

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New package incadata with initial version 0.5.3
Package: incadata
Type: Package
Title: Recognize and Handle Data in Formats Used by Swedish Cancer Centers
Version: 0.5.3
Author: Erik Bulow
Maintainer: Erik Bulow <erik.bulow@rccvast.se>
Description: Handle data in formats used by cancer centers in Sweden, both from INCA (the current register platform, (see <http://www.incanet.se> for more information) and by the older register platform Rockan (used in the Western and Northern part of the country). All variables are coerced to suitable classes based on their format. Dates (from various formats such as with missing month or day, with or without century prefix or with just a week number) are all recognised as dates and coerced to the ISO 8601 standard (Y-m-d). Boolean variables (internally stored either as 0/1 or "True"/"False"/blanks when exported) are coerced to logical. Variable names ending in '_Beskrivning' and '_Varde' will be character, and 'PERSNR' will be coerced (if possible) to a valid personal identification number 'pin' (by the 'sweidnumbr' package). The package also allow the user to interactively choose if a variable should be coerced into a potential format even though not all of its values might conform to the recognised pattern. It also contain a caching mechanism in order to temporarily store data sets with its newly decided formats in order to not rerun the identification process each time.
License: GPL-2
Depends: R (>= 2.10)
Imports: backports, decoder, dplyr, rccmisc, sweidnumbr
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
URL: https://www.bitbucket.org/cancercentrum/incadata
BugReports: https://www.bitbucket.org/cancercentrum/incadata/issues
LazyData: true
NeedsCompilation: no
Packaged: 2017-02-15 09:19:49 UTC; erikbulow
Repository: CRAN
Date/Publication: 2017-02-15 14:28:33

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New package condir with initial version 0.1.1
Package: condir
Title: Computation of P Values and Bayes Factors for Conditioning Data
Version: 0.1.1
Author: Angelos-Miltiadis Krypotos <amkrypotos@gmail.com>
Maintainer: Angelos-Miltiadis Krypotos <amkrypotos@gmail.com>
Date: 2017-02-14
Description: Set of functions for the easy analyses of conditioning data.
Depends: R (>= 3.3.2),
License: GPL-3
LazyData: true
RoxygenNote: 5.0.1
Imports: BayesFactor (>= 0.9.12.2), stats (>= 3.3.2), knitr(>= 1.15.1), xtable(>= 1.8.2), psych (>= 1.6.12), graphics (>= 3.3.2), effsize (>= 0.7.0), shiny (>= 1.0.0)
URL: https://github.com/AngelosPsy/condir
BugReports: https://github.com/AngelosPsy/condir/issues
Suggests: rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-15 10:44:24 UTC; angelos-miltiadiskrypotos
Repository: CRAN
Date/Publication: 2017-02-15 14:28:30

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New package PredPsych with initial version 0.1
Package: PredPsych
Type: Package
Title: Predictive Approaches in Psychology
Version: 0.1
Date: 2017-02-13
Author: Atesh Koul
Maintainer: Atesh Koul <atesh.koul@gmail.com>
Description: Recent years have seen an increased interest in novel methods for analyzing quantitative data from experimental psychology. Currently, however, they lack an established and accessible software framework. Many existing implementations provide no guidelines, consisting of small code snippets, or sets of packages. In addition, the use of existing packages often requires advanced programming experience. 'PredPsych' is a user-friendly toolbox based on machine learning predictive algorithms. It comprises of multiple functionalities for multivariate analyses of quantitative behavioral data based on machine learning models.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.1.0)
Imports: plyr, ggplot2, caret, rpart, e1071, mclust, MASS, party, randomForest
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
Repository: CRAN
NeedsCompilation: no
Packaged: 2017-02-14 19:30:34 UTC; koul
Date/Publication: 2017-02-15 09:59:53

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Tue, 14 Feb 2017

New package paperplanes with initial version 0.0.1.9
Package: paperplanes
Title: Distance Recordings from a Paper Plane Folding/Flying Experiment
Version: 0.0.1.9
Authors@R: c( person("Andreas", "Leha", email = "andreas.leha@med.uni-goettingen.de", role = c("aut", "cre")), person("Roland", "Gera", email = "roland.gera@med.uni-goettingen.de", role = c("aut")), person("Julia", "Bel", email = "julia.perera@med.uni-goettingen.de", role = c("aut")), person("Thomas", "Asendorf", email = "thomas.asendorf@med.uni-goettingen.de", role = c("aut")), person("Marius", "Placzek", email = "marius.placzek@med.uni-goettingen.de", role = c("aut")), person("Xenia", "Schulz", email = "xenia.schulz@med.uni-goettingen.de", role = c("aut")), person("Astrid", "Wachter", email = "astrid.wachter@med.uni-goettingen.de", role = c("aut")))
Description: This is a data only package, that provides distances from a paper plane experiment.
Depends: R (>= 2.10)
License: GPL-3
LazyData: true
URL: https://gitlab.gwdg.de/aleha/paperplanes
BugReports: https://gitlab.gwdg.de/aleha/paperplanes/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-14 11:47:47 UTC; aleha
Author: Andreas Leha [aut, cre], Roland Gera [aut], Julia Bel [aut], Thomas Asendorf [aut], Marius Placzek [aut], Xenia Schulz [aut], Astrid Wachter [aut]
Maintainer: Andreas Leha <andreas.leha@med.uni-goettingen.de>
Repository: CRAN
Date/Publication: 2017-02-14 16:21:14

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New package inferr with initial version 0.1.0
Package: inferr
Type: Package
Title: Inferential Statistics
Version: 0.1.0
Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"))
Description: Select set of parametric and non-parametric statistical tests. 'inferr' builds upon the solid set of statistical tests provided in 'stats' package by including additional data types as inputs, expanding and restructuring the test results. The tests included are t tests, variance tests, proportion tests, chi square tests, Levene's test, McNemar Test, Cochran's Q test and Runs test.
Depends: R(>= 3.2.4)
License: MIT + file LICENSE
URL: https://rsquaredacademy.github.io/inferr/, https://github.com/rsquaredacademy/inferr
BugReports: https://github.com/rsquaredacademy/inferr/issues
Imports: dplyr, magrittr, Rcpp, tibble, purrr, tidyr
Suggests: testthat, covr, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-02-14 11:23:50 UTC; HP
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-14 16:21:11

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New package epxToR with initial version 0.1-0
Package: epxToR
Type: Package
Title: Import 'Epidata' XML Files '.epx'
Version: 0.1-0
Authors@R: c(person("Jean Pierre", "Decorps", role = c("aut", "cre"), email = "jp.decorps@epiconcept.fr"), person("David", "Whiting", role = "aut"))
Description: Import data from 'Epidata' XML files '.epx' and convert it to R data structures.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: XML,httr
NeedsCompilation: no
Packaged: 2017-02-14 02:01:16 UTC; KDO
Author: Jean Pierre Decorps [aut, cre], David Whiting [aut]
Maintainer: Jean Pierre Decorps <jp.decorps@epiconcept.fr>
Repository: CRAN
Date/Publication: 2017-02-14 16:21:09

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New package eefAnalytics with initial version 1.0.6
Package: eefAnalytics
Version: 1.0.6
Date: 2017-02-14
Title: Analysing Education Trials
Description: Provides tools for analysing education trials. Making different methods accessible in a single place is essential for sensitivity analysis of education trials, particularly the implication of the different methods in analysing simple randomised trials, cluster randomised trials and multisite trials.
Author: Adetayo Kasim, ZhiMin Xiao, Steve Higgings and Ewoud De Troyer
Maintainer: Adetayo kasim <a.s.kasim@durham.ac.uk>
Imports: geoR, lme4, mvtnorm, metafor, graphics, stats
License: GPL-3
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-14 10:34:40 UTC; lucp8394
Repository: CRAN
Date/Publication: 2017-02-14 16:21:08

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Mon, 13 Feb 2017

New package rapiclient with initial version 0.1.2
Package: rapiclient
Type: Package
Title: Dynamic OpenAPI/Swagger Client
Version: 0.1.2
Authors@R: person("Darko", "Bergant", email = "darko.bergant@gmail.com", role = c("aut", "cre"))
URL: https://github.com/bergant/rapiclient
BugReports: https://github.com/bergant/rapiclient/issues
Description: Access services specified in OpenAPI (formerly Swagger) format. It is not a code generator. Client is generated dynamically as a list of R functions.
Depends: R (>= 3.3)
License: MIT + file LICENSE
Imports: jsonlite, httr
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-02-13 18:09:31 UTC; Dare
Author: Darko Bergant [aut, cre]
Maintainer: Darko Bergant <darko.bergant@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-14 02:14:38

More information about rapiclient at CRAN
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New package LEGIT with initial version 1.0.0
Package: LEGIT
Title: Latent Environmental & Genetic InTeraction (LEGIT) Model
Version: 1.0.0
Date: 2017-02-13
Author: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>
Maintainer: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>
Description: Constructs genotype x environment interaction (GxE) models where G is a weighted sum of genetic variants (genetic score) and E is a weighted sum of environments (environmental score). This approach has greatly enhanced predictive power over traditional GxE models which include only a single genetic variant and a single environmental exposure. Gene x gene interactions (GxG) and environment x environment interactions (ExE) can be incorporated into the genetic and environmental scores. Any standard model formula can be used, it doesn't have to be a two-way interaction model. Although this approach was made for GxE modelling, the genetic score doesn't need to contain genetic variables and the environmental score doesn't need to contain environmental variables, therefore this approach is highly flexible. A paper discussing the method used for estimating the weights should be released as pre-print and sent for peer- review before Summer 2017.
License: GPL-3
Imports: pROC
Depends: formula.tools, stats
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-13 16:23:17 UTC; Alexia
Repository: CRAN
Date/Publication: 2017-02-13 23:59:40

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New package healthcareai with initial version 0.1.11
Package: healthcareai
Type: Package
Title: Tools for Healthcare Machine Learning
Version: 0.1.11
Date: 2017-02-09
Authors@R: c( person("Levi", "Thatcher", email = "levi.thatcher@healthcatalyst.com", role = c("aut", "cre")), person("Mike", "Mastanduno", email = "mike.mastanduno@healthcatalyst.com", role = "aut"), person("Taylor", "Miller", email = "taylor.miller@healthcatalyst.com", role = "aut"), person("Taylor", "Larsen", email = "taylor.larsen@healthcatalyst.com", role = "aut"))
Description: A machine learning toolbox tailored to healthcare data. Aids in data cleaning, model development, hyperparameter tuning, and model deployment in a production SQL environment. Algorithms currently supported are Lasso, Random Forest, and Linear Mixed Model.
License: MIT + file LICENSE
LazyData: TRUE
Imports: caret, data.table, doParallel, e1071, grpreg, lme4, lubridate, pROC, R6, ranger, ROCR, RODBC
RoxygenNote: 6.0.0
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-02-10 03:28:44 UTC; michael.mastanduno
Author: Levi Thatcher [aut, cre], Mike Mastanduno [aut], Taylor Miller [aut], Taylor Larsen [aut]
Maintainer: Levi Thatcher <levi.thatcher@healthcatalyst.com>
Repository: CRAN
Date/Publication: 2017-02-14 00:08:16

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New package dgodata with initial version 0.0.2
Package: dgodata
Title: Data for the 'dgo' Package
Version: 0.0.2
Description: Provides data used by package 'dgo' in examples and vignettes.
Maintainer: James Dunham <james@jdunham.io>
Authors@R: c( person("James", "Dunham", email = "james@jdunham.io", role = c("aut", "cre")), person("Devin", "Caughey", email = "caughey@mit.edu", role = c("aut")), person("Christopher", "Warshaw", email = "cwarshaw@mit.edu", role = c("aut")) )
License: GPL-3
URL: https://github.com/jamesdunham/dgodata
BugReports: https://github.com/jamesdunham/dgodata/issues
Depends: R (>= 2.10.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-13 21:01:14 UTC; james
Author: James Dunham [aut, cre], Devin Caughey [aut], Christopher Warshaw [aut]
Repository: CRAN
Date/Publication: 2017-02-14 00:12:55

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New package sequoia with initial version 0.7.2
Package: sequoia
Type: Package
Title: Pedigree Inference from SNPs
Version: 0.7.2
Date: 2017-01-19
Authors@R: person("Jisca", "Huisman", email = "jisca.huisman@gmail.com", role = c("aut", "cre"))
Description: Fast multi-generational pedigree inference from incomplete data on hundreds of SNPs, including parentage assignment and sibship clustering. See article "Pedigree reconstruction from SNP data: Parentage assignment, sibship clustering, and beyond" (Mol Ecol Res, under review) for more information.
License: GPL-2
LazyData: TRUE
Imports: plyr (>= 1.8.0), stats, utils
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-02-13 11:08:13 UTC; jhuisman
Author: Jisca Huisman [aut, cre]
Maintainer: Jisca Huisman <jisca.huisman@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-13 12:57:54

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New package nlsr with initial version 2017.2.12
Package: nlsr
Type: Package
Title: Functions for Nonlinear Least Squares Solutions
Version: 2017.2.12
Authors@R: c( person(given = c("John", "C"), family = "Nash", role = c("aut", "cre"), email = "nashjc@uottawa.ca"), person(given = "Duncan", family = "Murdoch", role = "aut", email = "murdoch.duncan@gmail.com") )
Maintainer: John C Nash <nashjc@uottawa.ca>
Description: Provides tools for working with nonlinear least squares problems. It is intended to eventually supersede the nls() function in the R distribution. For example, nls() specifically does NOT deal with small or zero residual problems. Its Gauss-Newton method frequently stops with 'singular gradient' messages.
License: GPL-2
Depends: R (>= 3.0)
Imports: digest
Suggests: minpack.lm, optimr, Rvmmin, Rcgmin, numDeriv, knitr, rmarkdown, Ryacas, Deriv, nlmrt
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-12 20:50:48 UTC; john
Author: John C Nash [aut, cre], Duncan Murdoch [aut]
Repository: CRAN
Date/Publication: 2017-02-13 08:39:50

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New package jmv with initial version 0.7.0
Package: jmv
Type: Package
Title: The 'jamovi' Analyses
Version: 0.7.0
Date: 2017-02-13
Author: Jonathon Love, Damian Dropmann, Ravi Selker
Maintainer: Jonathon Love <jon@thon.cc>
Description: 'jamovi' is a rich graphical statistics program providing many common statistical tests such as t-tests, ANOVAs, correlation matrices, proportion tests, contingency tables, etc (see <https://www.jamovi.org> for more information). This package makes all of the basic 'jamovi' analyses available to the R user.
License: GPL (>= 2)
Depends: R (>= 3.2)
Imports: jmvcore (>= 0.3), R6, car, multcomp, ggplot2, PMCMR, lsmeans, lsr, vcd, vcdExtra, GGally, BayesFactor, psych, GPArotation, afex
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-13 04:49:29 UTC; jonathon
Repository: CRAN
Date/Publication: 2017-02-13 08:39:47

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Sun, 12 Feb 2017

New package plotrr with initial version 0.2.0
Package: plotrr
Type: Package
Title: Making Visual Exploratory Data Analysis Easier
Version: 0.2.0
Authors@R: c(person("Charles", "Crabtree", role = c("aut", "cre"), email = "ccrabtr@umich.edu"), person("Michael J.", "Nelson", role = c("aut")))
Description: Functions for making visual exploratory data analysis easier.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, dplyr, stats
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2017-02-12 18:35:12 UTC; cdcrabtree
Author: Charles Crabtree [aut, cre], Michael J. Nelson [aut]
Maintainer: Charles Crabtree <ccrabtr@umich.edu>
Repository: CRAN
Date/Publication: 2017-02-12 20:48:32

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New package HRQoL with initial version 1.0
Package: HRQoL
Title: Health Related Quality of Life Analysis
Version: 1.0
Author: Josu Najera-Zuloaga <jnajera@bcamath.org>, Dae-Jin Lee <dlee@bcamath.org>, Inmaculada Arostegui <inmaculada.arostegui@ehu.es>
Maintainer: Josu Najera-Zuloaga <jnajera@bcamath.org>
Description: Offers tools and modelling approaches for binomial data with overdispersion, with particular interest in Health Related Quality of Life (HRQoL) questionnaires regression analysis.
License: GPL
Imports: fmsb, car, RColorBrewer, matrixcalc, rootSolve, numDeriv, Matrix
Packaged: 2017-02-11 12:34:44 UTC; root
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-02-12 20:52:16

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New package fmbasics with initial version 0.1.0
Package: fmbasics
Type: Package
Title: Financial Market Building Blocks
Version: 0.1.0
Author: Imanuel Costigan <i.costigan@me.com>
Maintainer: Imanuel Costigan <i.costigan@me.com>
Description: Implements basic financial market objects like currencies, currency pairs, interest rates and interest rate indices. You will be able to use Benchmark instances of these objects which have been defined using their most common conventions or those defined by International Swap Dealer Association (ISDA, <http://www2.isda.org>) legal documentation.
License: GPL-2
Imports: fmdates (>= 0.1.2), assertthat, lubridate (>= 1.6.0)
Suggests: testthat, knitr, rmarkdown, covr
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/imanuelcostigan/fmbasics
BugReports: https://github.com/imanuelcostigan/fmbasics/issues
NeedsCompilation: no
Packaged: 2017-02-11 23:38:27 UTC; imanuel
Repository: CRAN
Date/Publication: 2017-02-12 08:31:05

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New package DClusterm with initial version 0.1
Package: DClusterm
Type: Package
Title: Model-Based Detection of Disease Clusters
Version: 0.1
Date: 2017-02-10
Author: Virgilio Gomez-Rubio, Paula Esther Moraga Serrano, Barry Rowlingson
Maintainer: Virgilio Gomez-Rubio <virgilio.gomez@uclm.es>
Depends: R (>= 2.10), parallel, sp, spacetime, DCluster
Suggests: INLA
Imports: methods, xts, lme4, pscl, RColorBrewer, gridExtra, latticeExtra
Description: Model-based methods for the detection of disease clusters using GLMs, GLMMs and zero-inflated models.
Additional_repositories: https://www.math.ntnu.no/inla/R/stable
License: GPL-3
LazyLoad: yes
LazyData: yes
Collate: 'Functions1PAU.R' 'Functions2PAU.R' 'glm.isclusterPAU.R' 'knutils.R'
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-11 16:50:49 UTC; virgil
Repository: CRAN
Date/Publication: 2017-02-12 08:31:01

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New package BaTFLED3D with initial version 0.1.7
Package: BaTFLED3D
Title: Bayesian Tensor Factorization Linked to External Data
Version: 0.1.7
Authors@R: person("Nathan", "Lazar", email = "nathan.lazar@gmail.com", role = c("aut", "cre"))
Description: BaTFLED is a machine learning algorithm designed to make predictions and determine interactions in data that varies along three independent modes. For example BaTFLED was developed to predict the growth of cell lines when treated with drugs at different doses. The first mode corresponds to cell lines and incorporates predictors such as cell line genomics and growth conditions. The second mode corresponds to drugs and incorporates predictors indicating known targets and structural features. The third mode corresponds to dose and there are no dose-specific predictors (although the algorithm is capable of including predictors for the third mode if present). See 'BaTFLED3D_vignette.rmd' for a simulated example.
Depends: R (>= 3.2.2)
License: CC BY-NC-SA 4.0
LazyData: true
RoxygenNote: 5.0.1
Collate: 'diagnostics.R' 'CP_model.R' 'Tucker_model.R' 'exp_var.R' 'get_data_params.R' 'get_influence.R' 'get_model_params.R' 'im_2_mat.R' 'im_mat.R' 'input_data.R' 'kernelize.R' 'lower_bnd_Tucker.R' 'lower_bnd_CP.R' 'mk_model.R' 'mk_toy.R' 'mult_3d.R' 'plot_preds.R' 'plot_roc.R' 'plot_test_RMSE.R' 'plot_test_cor.R' 'plot_test_exp_var.R' 'rmse.R' 'rot.R' 'safe_log.R' 'safe_prod.R' 'show_mat.R' 'test.R' 'test_CP.R' 'test_Tucker.R' 'test_results.R' 'train.R' 'train_CP.R' 'train_Tucker.R' 'update_core_Tucker.R' 'update_mode1_Tucker.R' 'update_mode2_Tucker.R' 'update_mode3_Tucker.R' 'update_mode1_CP.R' 'update_mode2_CP.R' 'update_mode3_CP.R'
Imports: foreach, R6, iterators, rTensor, RColorBrewer
Suggests: doMC, doParallel, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-11 19:13:28 UTC; nathan
Author: Nathan Lazar [aut, cre]
Maintainer: Nathan Lazar <nathan.lazar@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-12 08:30:57

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Sat, 11 Feb 2017

New package WWR with initial version 1.0.0
Package: WWR
Type: Package
Version: 1.0.0
Date: 2017-02-09
Title: Weighted Win Loss Statistics and their Variances
Description: Calculate the (weighted) win loss statistics including the win ratio, win difference and win product and their variances, with which the p-values are also calculated. The variance estimation is based on Luo et al. (2015) <doi:10.1111/biom.12225>.
Authors@R: c( person(given="Xiaodong", family="Luo", email = "Xiaodong.Luo@sanofi.com", role =c("aut", "cre")), person(given="Junshan", family="Qiu", role = "ctb"), person(given="Steven", family="Bai", role = "ctb"), person(given="Hong", family="Tian", role = "ctb"), person("Sanofi", role = "cph"))
Depends: R (>= 3.1.2)
Imports: stats
License: GPL (>= 2)
RoxygenNote: 5.0.1
LazyData: true
NeedsCompilation: yes
Packaged: 2017-02-11 23:06:10 UTC; xiaodong
Author: Xiaodong Luo [aut, cre], Junshan Qiu [ctb], Steven Bai [ctb], Hong Tian [ctb], Sanofi [cph]
Maintainer: Xiaodong Luo <Xiaodong.Luo@sanofi.com>
Repository: CRAN
Date/Publication: 2017-02-12 05:36:39

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New package wrapr with initial version 0.1.0
Package: wrapr
Type: Package
Title: Wrap R Functions for Debugging and Ease of Use
Version: 0.1.0
Author: John Mount, Nina Zumel
Maintainer: John Mount <jmount@win-vector.com>
URL: https://github.com/WinVector/wrapr
BugReports: https://github.com/WinVector/wrapr/issues
Description: Provides 'DebugFnW()' to capture function context on error for debugging, and 'let()' which converts non-standard evaluation interfaces to standard evaluation interfaces.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-11 15:07:23 UTC; johnmount
Repository: CRAN
Date/Publication: 2017-02-11 17:43:13

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New package StVAR with initial version 1.1
Package: StVAR
Type: Package
Title: Student's t Vector Autoregression (StVAR)
Version: 1.1
Date: 2017-02-10
Author: Niraj Poudyal
Maintainer: Niraj Poudyal <nirajp6@vt.edu>
Description: Estimation of multivariate Student's t dynamic regression models for a given degrees of freedom and lag length. Users can also specify the trends and dummies of any kind in matrix form.
Imports: ADGofTest,numDeriv, MCMCpack, matlab
License: GPL-2
NeedsCompilation: no
Packaged: 2017-02-11 14:27:16 UTC; user
Repository: CRAN
Date/Publication: 2017-02-11 17:43:11

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New package SetTest with initial version 0.1.0
Package: SetTest
Type: Package
Title: Group Testing Procedures for Signal Detection and Goodness-of-Fit
Version: 0.1.0
Author: Hong Zhang and Zheyang Wu
Maintainer: Hong Zhang <hzhang@wpi.edu>
Description: It provides cumulative distribution function (CDF), quantile, p-value, statistical power calculator and random number generator for a collection of group-testing procedures, including the Higher Criticism tests, the one-sided Kolmogorov-Smirnov tests, the one-sided Berk-Jones tests, the one-sided phi-divergence tests, etc. The input are a group of p-values. The null hypothesis is that they are i.i.d. Uniform(0,1). In the context of signal detection, the null hypothesis means no signals. In the context of the goodness-of-fit testing, which contrasts a group of i.i.d. random variables to a given continuous distribution, the input p-values can be obtained by the CDF transformation. The null hypothesis means that these random variables follow the given distribution. For reference, see Hong Zhang, Jiashun Jin and Zheyang Wu. "Distributions and Statistical Power of Optimal Signal Detection Methods in Finite Samples", submitted.
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-11 15:36:07 UTC; hong
Repository: CRAN
Date/Publication: 2017-02-11 17:43:09

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New package AWR with initial version 1.11.88
Type: Package
Package: AWR
Maintainer: Gergely Daroczi <gergely.daroczi@card.com>
Author: Gergely Daroczi <gergely.daroczi@card.com>
Title: 'AWS' Java 'SDK' for R
Description: Installs the compiled Java modules of the Amazon Web Services ('AWS') 'SDK' to be used in downstream R packages interacting with 'AWS'. See <https://aws.amazon.com/sdk-for-java> for more information on the 'AWS' 'SDK' for Java.
Version: 1.11.88
Date: 2017-02-10
URL: https://github.com/cardcorp/AWR
License: AGPL-3
Imports: rJava, utils
Suggests: AWR.jars
Additional_repositories: https://cardcorp.gitlab.io/AWR.jars
NeedsCompilation: no
Packaged: 2017-02-11 12:38:07 UTC; daroczig
Repository: CRAN
Date/Publication: 2017-02-11 15:17:53

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New package CATkit with initial version 3.0.0.1
Package: CATkit
Type: Package
Title: Chronomics Analysis Toolkit (CAT): Analyze Periodicity
Version: 3.0.0.1
Date: 2017-2-11
Author: Cathy Lee Gierke, Ruth Helget, Germaine Cornelissen-Guillaume
Maintainer: Cathy Lee Gierke <leegi001@umn.edu>
Imports: MASS, png, rtf, season, magic, stats, graphics, utils, grDevices, signal
LazyData: true
Description: Performs analysis of sinusoidal rhythms in time series data: actogram, smoothing, autocorrelation, crosscorrelation, several flavors of cosinor.
URL: http://z.umn.edu/CATkit, http://www.tandfonline.com/doi/full/10.1080/09291016.2015.1094965
License: GPL-2
NeedsCompilation: no
Packaged: 2017-02-11 11:39:47 UTC; user
Repository: CRAN
Date/Publication: 2017-02-11 13:27:23

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New package RatingScaleReduction with initial version 1.0
Package: RatingScaleReduction
Type: Package
Title: Rating Scale Reduction Procedure
Version: 1.0
Date: 2017-01-31
Author: Waldemar W. Koczkodaj, Alicja Wolny-Dominiak
Maintainer: Alicja Wolny-Dominiak <alicja.wolny-dominiak@ue.katowice.pl>
Depends: pROC, ggplot2
Description: Reduces items in a rating scale by a new procedure of reducing items in a rating scale.
License: GPL-2
NeedsCompilation: no
Packaged: 2017-02-09 21:23:57 UTC; Woali
Repository: CRAN
Date/Publication: 2017-02-11 10:04:31

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New package libsoc with initial version 0.5
Package: libsoc
Version: 0.5
Date: 2017-02-07
Title: Read, Create and Write 'PharmML' Standard Output (so) XML Files
Author: Rikard Nordgren <rikard.nordgren@farmbio.uu.se>
Maintainer: Rikard Nordgren <rikard.nordgren@farmbio.uu.se>
Depends: R (>= 2.14.1)
Imports: methods
SystemRequirements: libxml2: libxml2-dev (deb), libxml2-devel (rpm)
NeedsCompilation: yes
Description: Handle 'PharmML' (Pharmacometrics Markup Language) standard output (SO) XML files. SO files can be created, read, manipulated and written through a data binding from the XML structure to a tree structure of R objects.
URL: https://github.com/rikardn/libsoc
BugReports: https://github.com/rikardn/libsoc/issues
License: LGPL-3
Copyright: 2015-2017 Rikard Nordgren
Packaged: 2017-02-09 09:56:54 UTC; rikard
Repository: CRAN
Date/Publication: 2017-02-11 10:04:35

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New package CoSeg with initial version 0.38
Package: CoSeg
Type: Package
Title: Cosegregation Analysis and Pedigree Simulation
Version: 0.38
Date: 2017-02-08
Author: John Michael O. Ranola and Brian H. Shirts
Depends: kinship2, fGarch, splines
Maintainer: John Michael O. Ranola <ranolaj@uw.edu>
Description: Tools for generating and analyzing pedigrees. Specifically, this has functions that will generate realistic pedigrees for the USA and China based on historical birth rates and family sizes. It also has functions for analyzing these pedigrees when they include disease information including one based on counting meioses and another based on likelihood ratios.
License: GPL (>= 2)
LazyData: True
Repository: CRAN
Repository/R-Forge/Project: coseg
Repository/R-Forge/Revision: 34
Repository/R-Forge/DateTimeStamp: 2017-02-10 11:24:38
Date/Publication: 2017-02-11 10:04:01
NeedsCompilation: yes
Packaged: 2017-02-10 11:45:28 UTC; rforge

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Thu, 09 Feb 2017

New package Tnseq with initial version 0.1.1
Package: Tnseq
Version: 0.1.1
Date: 2017-2-1
Title: Identification of Conditionally Essential Genes in Transposon Sequencing Studies
Author: Lili Zhao <zhaolili@umich.edu>
Maintainer: Lili Zhao <zhaolili@umich.edu>
Imports: methods, limma, edgeR, Ckmeans.1d.dp, Biobase
Depends: DESeq
Description: Identification of conditionally essential genes using high-throughput sequencing data from transposon mutant libraries.
License: GPL (>= 3)
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-02-08 16:56:08 UTC; zhaolili
Repository: CRAN
Date/Publication: 2017-02-09 19:42:38

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New package som.nn with initial version 1.0.3
Package: som.nn
Type: Package
Title: Topological k-NN Classifier Based on Self-Organising Maps
Version: 1.0.3
Author: Andreas Dominik
Maintainer: Andreas Dominik <andreas.dominik@mni.thm.de>
Encoding: UTF-8
Depends:
Imports: hexbin, class, kohonen, som, methods, graphics, grDevices, stats, utils
Description: A topological version of k-NN: An abstract model is build as 2-dimensional self-organising map. Samples of unknown class are predicted by mapping them on the SOM and analysing class membership of neurons in the neighbourhood.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-09 10:04:33 UTC; andreas
Repository: CRAN
Date/Publication: 2017-02-09 19:50:17

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New package optbdmaeAT with initial version 1.0.1
Package: optbdmaeAT
Version: 1.0.1
Date: 2017-02-07
Title: Optimal Block Designs for Two-Colour cDNA Microarray Experiments
Author: Dibaba Bayisa Gemechu, Legesse Kassa Debusho, and Linda Haines
Maintainer: Dibaba Bayisa Gemechu <diboobayu@gmail.com>
Depends: R (>= 3.3.1), MASS, Matrix, igraph, tcltk
License: GPL-2
Description: Computes A-, MV-, D- and E-optimal or near-optimal block designs for two-colour cDNA microarray experiments using the linear fixed effects and mixed effects models where the interest is in a comparison of all possible elementary treatment contrasts. The algorithms used in this package are based on the treatment exchange and array exchange algorithms of Debusho, Gemechu and Haines (2016, unpublished). The package also provides an optional method of using the graphical user interface (GUI) R package tcltk to ensure that it is user friendly.
NeedsCompilation: no
Packaged: 2017-02-09 07:59:16 UTC; Dibaba B Gemechu
Repository: CRAN
Date/Publication: 2017-02-09 18:27:01

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New package aniDom with initial version 0.1
Package: aniDom
Type: Package
Title: Inferring Dominance Hierarchies and Estimating Uncertainty
Version: 0.1
Date: 2017-02-08
Author: Damien R. Farine and Alfredo Sanchez-Tojar
Maintainer: Damien R. Farine <dfarine@orn.mpg.de>
Description: Provides: (1) Tools to infer dominance hierarchies based on calculating Elo scores, but with custom functions to improve estimates in animals with relatively stable dominance ranks. (2) Tools to plot the shape of the dominance hierarchy and estimate the uncertainty of a given data set.
License: GPL-2
Imports: rptR
NeedsCompilation: no
Packaged: 2017-02-09 14:56:47 UTC; damienfarine
Repository: CRAN
Date/Publication: 2017-02-09 18:26:07

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Wed, 08 Feb 2017

New package Rcoclust with initial version 0.1
Package: Rcoclust
Type: Package
Title: Co-Clustering with Document-Term Matrix
Version: 0.1
Date: 2017-01-31
Author: R. Priam <rpriam@gmail.com>
Maintainer: R. Priam <rpriam@gmail.com>
Description: Several co-clustering algorithms are implemented for sparse binary and contingency matrices. They aim at a simultaneous clustering of the rows and the columns via an objective function.
Depends: R (>= 2.10)
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2017-02-08 00:44:58 UTC; rody
Repository: CRAN
Date/Publication: 2017-02-08 12:46:18

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New package FuzzyStatTra with initial version 1.0
Package: FuzzyStatTra
Type: Package
Title: Statistical Methods for Trapezoidal Fuzzy Numbers
Version: 1.0
Date: 2016-02-07
Author: Asun Lubiano <lubiano@uniovi.es>, Sara de la Rosa de Saa <rosasara@uniovi.es>
Maintainer: Asun Lubiano <lubiano@uniovi.es>
Description: The aim of the package is to provide some basic functions for doing statistics with trapezoidal fuzzy numbers. In particular, the package contains several functions for simulating trapezoidal fuzzy numbers, as well as for calculating some central tendency measures (mean and two types of median), some scale measures (variance, ADD, MDD, Sn, Qn, Tn and some M-estimators) and one diversity index and one inequality index. Moreover, functions for calculating the 1-norm distance, the mid/spr distance and the (phi,theta)-wabl/ldev/rdev distance between fuzzy numbers are included, and a function to calculate the value phi-wabl given a sample of trapezoidal fuzzy numbers.
License: GPL (>= 2)
NeedsCompilation: no
Repository: CRAN
Packaged: 2017-02-08 10:05:18 UTC; Sara
Date/Publication: 2017-02-08 12:46:14

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New package EMMIXcskew with initial version 0.9-4
Package: EMMIXcskew
Type: Package
Title: Fitting Mixtures of CFUST Distributions
Version: 0.9-4
Date: 2017-02-07
Author: S.X. Lee and G.J. McLachlan
Maintainer: Sharon X. Lee <s.lee11@uq.edu.au>
Description: Functions to fit finite mixture of multivariate canonical fundamental skew t (FM-CFUST) distributions, random sample generation, 2D and 3D contour plots.
License: GPL
LazyLoad: yes
Imports: rgl, mnormt, graphics, MASS, grDevices, stats
Suggests: KernSmooth
NeedsCompilation: no
Packaged: 2017-02-07 06:00:35 UTC; uqslee17
Repository: CRAN
Date/Publication: 2017-02-08 12:46:13

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New package dexter with initial version 0.1.7
Package: dexter
Type: Package
Title: Data Management and Basic Analysis of Tests
Version: 0.1.7
Author: Gunter Maris, Timo Bechger, Ivailo Partchev
Maintainer: Ivailo Partchev <Ivailo.Partchev@cito.nl>
Description: Data handling, Rasch model and Haberman's interaction model for educational and psychological tests that may involve multiple test forms or stages.
License: GPL (>= 2)
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
Depends: R (>= 2.10), RSQLite, plyr, reshape2, colorspace
Imports: graphics, utils
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, latticeExtra
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-02-07 20:49:40 UTC; ivailo
Repository: CRAN
Date/Publication: 2017-02-08 12:46:22

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New package foghorn with initial version 0.4.2
Package: foghorn
Title: Summarizes CRAN Check Results in the Terminal
Version: 0.4.2
Authors@R: c(person("Francois", "Michonneau", role=c("aut", "cre"), email="francois.michonneau@gmail.com"), person("Ben", "Bolker", role="ctb"))
Description: The CRAN check results in your R terminal.
Depends: R (>= 3.3.1)
Imports: clisymbols (>= 1.0.0), crayon (>= 1.3.2), curl (>= 2.2), dplyr (>= 0.5.0), httr (>= 1.2.1), lazyeval (>= 0.2.0), magrittr (>= 1.5), rvest (>= 0.3.2), tibble (>= 1.2), tidyr (>= 0.6.0), xml2 (>= 1.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.0
URL: https://github.com/fmichonneau/foghorn
BugReports: https://github.com/fmichonneau/foghorn/issues
Suggests: testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-07 01:24:36 UTC; francois
Author: Francois Michonneau [aut, cre], Ben Bolker [ctb]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-08 12:18:08

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