Package doParallel updated to version 1.0.3 with previous version 1.0.1 dated 2012-04-16

Title: Foreach parallel adaptor for the parallel package
Description: Provides a parallel backend for the %dopar% function using the parallel package.
Author: Revolution Analytics, Steve Weston
Maintainer: Revolution Analytics

Diff between doParallel versions 1.0.1 dated 2012-04-16 and 1.0.3 dated 2013-06-07

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Package retimes updated to version 0.1-1 with previous version 0.1-0 dated 2012-11-10

Title: Reaction Time Analysis
Description: Reaction time analysis by maximum likelihood
Author: Davide Massidda
Maintainer: Davide Massidda

Diff between retimes versions 0.1-0 dated 2012-11-10 and 0.1-1 dated 2013-06-07

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New package PivotalR with initial version 0.1.0
Package: PivotalR
Type: Package
Title: R front-end to PostgreSQL and Pivotal (Greenplum) database, wrapper for MADlib
Version: 0.1.0
Date: 2013-06-03
Author: Predictive Analytics Team at Pivotal Inc. , with contributions from Woo Jung
Maintainer: Hai Qian
Contact: Predictive Analytics Team at Pivotal Inc.
Depends: R (>= 2.9.0), methods
Enhances: DBI, RPostgreSQL
Description: R wrapper of Pivotal Data Fabrics running on PostgreSQL or Pivotal (Greenplum) database with parallel and distributed computation ability for big data analytics. PivotalR is a package that enables users of R to interact with the Pivotal (Greenplum) Database as well as Pivotal HD/HAWQ for Big Data analytics. It does so by providing an interface to the operations on tables/views in the database. These operations are almost the same as those of data.frame. Thus the users of R do not need to learn SQL when they operate on the objects in the database. It also provides a wrapper for MADlib, which is an open-source library for parallel and scalable in-database analytics.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2013-06-04 17:39:24 UTC; qianh1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-06-07 18:40:47

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Package markdown updated to version 0.5.5 with previous version 0.5.4 dated 2013-01-25

Title: Markdown rendering for R
Description: Markdown is a plain-text formatting syntax that can be converted to XHTML or other formats. This package provides R bindings to the Sundown markdown rendering library.
Author: JJ Allaire, Jeffrey Horner, Vicent Marti, and Natacha Porte
Maintainer: Yihui Xie

Diff between markdown versions 0.5.4 dated 2013-01-25 and 0.5.5 dated 2013-06-07

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New package lmeSplines with initial version 1.1-0
Package: lmeSplines
Version: 1.1-0
Title: lmeSplines
Author: Rod Ball
Maintainer: Andrzej Galecki
Description: Add smoothing spline modelling capability to nlme. Fit smoothing spline terms in Gaussian linear and nonlinear mixed-effects models
Depends: nlme(>= 3.1-29)
License: GPL (>= 2)
Repository: CRAN
Date/Publication: 2013-06-07 18:25:34
Repository/R-Forge/Project: nlmeu
Repository/R-Forge/Revision: 94
Repository/R-Forge/DateTimeStamp: 2013-06-06 14:25:53
Packaged: 2013-06-06 18:15:35 UTC; rforge
NeedsCompilation: no

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Package geotopbricks updated to version 1.3.4.2 with previous version 1.3.4 dated 2013-05-31

Title: geotopbricks: Analyzes raster maps as input/output files from the Hydrological Distributed Model GEOtop
Description: geotopbricks: Analyzes raster maps and other information as input/output files from the Hydrological Distributed Model GEOtop. It contains functions and methods to import maps and other keywords from geotop.inpts file. Any information about the GEOtop Distributed Hydrological Model is available on www.geotop.org. The examples are tested on two simulation cases run with GEOtop built 1.225-9 mostly developed by Stefano Endrizzi. Bugs/comments/questions/collaboration of any kind are warmly welcomed.
Author: Emanuele Cordano, Daniele Andreis, Fabio Zottele
Maintainer: Emanuele Cordano

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New package poweRlaw with initial version 0.20.0
Package: poweRlaw
Type: Package
Title: Fitting heavy tailed distributions: the poweRlaw package
Version: 0.20.0
Date: 2013-06-05
Authors@R: person("Gillespie", "Colin", email="colin.gillespie@newcastle.ac.uk", role = c("aut", "cre"))
Author: Colin Gillespie
Maintainer: Colin Gillespie
Description: This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.
URL: https://github.com/csgillespie/poweRlaw
BugReports: https://github.com/csgillespie/poweRlaw/issues
Depends: stats, R (>= 2.15.0)
Imports: VGAM, parallel, methods
License: GPL-3
Collate: 'aaa_all_classes.R' 'all_classes_ctn.R' 'all_classes_discrete.R' 'AllGenerics.R' 'bootstrap_p.R' 'bootstrap.R' 'ctn_helper_functions.R' 'data_help_files.R' 'discrete_helper_functions.R' 'dist_cdf-methods.R' 'dist_data_cdf-methods.R' 'dist_ll-methods.R' 'dist_pdf-methods.R' 'dist_rand-methods.R' 'estimate_pars.R' 'estimate_xmin.R' 'initialize-methods.R' 'lines-methods.R' 'mle-methods.R' 'plcon.R' 'pldis.R' 'plot-methods.R' 'points-methods.R' 'poweRlaw-package.R' 'checks.R' 'compare_distributions.R'
Packaged: 2013-06-07 09:12:43 UTC; ncsg3
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-06-07 11:31:06

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Package GWAF updated to version 2.1 with previous version 2.0 dated 2012-04-17

Title: Genome-wide association/interaction analysis and rare variant analysis with family data
Description: Functions for genome-wide association/interaction analysis and rare variant analysis on a continuous/dichotomous trait using family data, and for making genome-wide p-value plot and QQ plot.
Author: Ming-Huei Chen and Qiong Yang
Maintainer: Ming-Huei Chen

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Package gstudio updated to version 1.0 with previous version 0.8 dated 2012-01-31

Title: Spatial utility functions from the Dyer laboratory
Description: This package contains classes and functions for the spatial analysis of marker data to include structure statistics, analyses based upon allele frequencies, and Population Graphs network analysis of spatial conditional genetic covariance. This package supersedes the original studio package by interfacing with raster and sp objects directly.
Author: Rodney J. Dyer
Maintainer: Rodney J. Dyer

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Package grpreg updated to version 2.4-0 with previous version 2.3-0 dated 2013-02-10

Title: Regularization paths for regression models with grouped covariates
Description: Efficient algorithms for fitting the regularization path of linear or logistic regression models with grouped penalties, such as group lasso, group MCP, and group SCAD. The algorithms are based on the idea of either locally approximated coordinate descent or group descent, depending on the penalty.
Author: Patrick Breheny
Maintainer: Patrick Breheny

Diff between grpreg versions 2.3-0 dated 2013-02-10 and 2.4-0 dated 2013-06-07

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Package CBPS updated to version 0.6 with previous version 0.5 dated 2013-05-08

Title: R Package for Covariate Balancing Propensity Score
Description: CBPS is an R package that implements the covariate balancing propensity score proposed by Imai and Ratkovic (2013; JRSSB). The propensity score is estimated such that it maximizes the resulting covariate balance as well as the prediction of treatment assignment. The method, therefore, avoids an iteration between model fitting and balance checking. The package also implements several extensions of the CBPS beyond the cross-sectional, binary treatment setting. The current version implements the CBPS for longitudinal settings so that it can be used in conjunction with marginal structural models (Imai and Ratkovic, 2013a), treatments with three- and four-valued treatment variables (Fong, 2013), and the situation with multiple distinct binary treatments administered simultaneously. In the future it will be extended to other settings including continuous treatments and the generalization of experimental and instrumental variable estimates.
Author: Marc Ratkovic , Kosuke Imai , Christian Fong
Maintainer: Marc Ratkovic

Diff between CBPS versions 0.5 dated 2013-05-08 and 0.6 dated 2013-06-07

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