Fri, 17 Feb 2012

Package RnavGraph updated to version 0.1.2 with previous version 0.1.1 dated 2011-11-22

Title: Using graphs as a navigational infrastructure.
Description: GUI to explore high dimensional data (including image data) using graphs as navigational infrastructure.
Author: Adrian R. Waddell and R. Wayne Oldford
Maintainer: Adrian Waddell

Diff between RnavGraph versions 0.1.1 dated 2011-11-22 and 0.1.2 dated 2012-02-17

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Package RcppArmadillo updated to version 0.2.35 with previous version 0.2.34 dated 2011-12-13

Title: Rcpp integration for Armadillo templated linear algebra library
Description: R and Armadillo integration using Rcpp Armadillo is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. A delayed evaluation approach is employed (during compile time) to combine several operations into one, and to reduce (or eliminate) the need for temporaries. This is accomplished through recursive templates and template meta-programming. This library is useful if C++ has been decided as the language of choice (due to speed and/or integration capabilities), rather than another language. The RcppArmadillo package includes the header files from the templated Armadillo library (currently version 2.4.2). Thus users do not need to install Armadillo itself in order to use RcppArmadillo. This Armadillo integration provides a nice illustration of the capabilities of the Rcpp package for seamless R and C++ integration. Armadillo is licensed under the GNU LGPL version 3 or later, while RcppArmadillo (the Rcpp bindings/bridge to Armadillo) is licenses under the GNU GPL version 2 or later, as is the rest of Rcpp.
Author: Romain Francois, Dirk Eddelbuettel and Doug Bates
Maintainer: Romain Francois, Dirk Eddelbuettel and Doug Bates

Diff between RcppArmadillo versions 0.2.34 dated 2011-12-13 and 0.2.35 dated 2012-02-17

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Package multcomp updated to version 1.2-10 with previous version 1.2-9 dated 2012-01-11

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre], Frank Bretz [aut], Peter Westfal [aut]
Maintainer: Torsten Hothorn

Diff between multcomp versions 1.2-9 dated 2012-01-11 and 1.2-10 dated 2012-02-17

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Package gMCP updated to version 0.7-7 with previous version 0.7-6 dated 2012-02-13

Title: Graph Based Multiple Comparison Procedures
Description: This package provides functions and a graphical user interface for graphical described multiple test procedures.
Author: Kornelius Rohmeyer, Florian Klinglmueller (parametric tests, adaptive designs), Bjoern Bornkamp (power simulations)
Maintainer: Kornelius Rohmeyer

Diff between gMCP versions 0.7-6 dated 2012-02-13 and 0.7-7 dated 2012-02-17

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New package makeR with initial version 1.0
Package: makeR
Type: Package
Title: Package for managing projects with multiple versions derived from a single source repository.
Version: 1.0
Date: 2012-02-16
Author: Jason Bryer
Maintainer: Jason Bryer
Description: An R package to help manage R projects (e.g. Sweave reports) where multiple versions are created based upon a single source repository. For example, a monthly report where each versions is identitcal with the exception of easily definable parameters (e.g. date ranges for data extraction, title, etc.).
License: GPL
LazyLoad: yes
Depends: tools, XML
Suggests: RCurl,lattice,chron,grid,cacheSweave,knitr
Collate: 'Build.R' 'Version.R' 'buildVersion.R' 'releaseVersion.R' 'makeR-package.R' 'Project.R' 'GoogleReader.R' 'calendarHeat.R' 'writeProject.R' 'builder.rnw.R' 'builder.tex.R' 'env2string.R' 'builder.cacheSweave.R' 'makeR.R' 'builder.knitr.R'
Packaged: 2012-02-17 14:35:17 UTC; jbryer
Repository: CRAN
Date/Publication: 2012-02-17 17:18:41

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Package caret updated to version 5.13-037 with previous version 5.13-20 dated 2012-02-06

Title: Classification and Regression Training
Description: Misc functions for training and plotting classification and regression models
Author: Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer and Allan Engelhardt
Maintainer: Max Kuhn

Diff between caret versions 5.13-20 dated 2012-02-06 and 5.13-037 dated 2012-02-17

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Package capushe updated to version 1.0 with previous version 0.8 dated 2011-10-06

Title: Capushe, data-driven slope estimation and dimension jump
Description: This package is devoted to the calibration of penalized criteria for model selection. The calibration methods available in this package are based on the slope heuristics.
Author: Vincent Brault, Jean-Patrick Baudry, Cathy Maugis and Bertrand Michel
Maintainer: Vincent Brault

Diff between capushe versions 0.8 dated 2011-10-06 and 1.0 dated 2012-02-17

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Package bfast updated to version 1.4.3 with previous version 1.2-1 dated 2011-04-24

Title: Breaks For Additive Season and Trend (BFAST)
Description: BFAST integrates the decomposition of time series into trend, seasonal, and remainder components with methods for detecting and characterizing abrupt changes within the trend and seasonal components. BFAST can be used to analyze different types of satellite image time series and can be applied to other disciplines dealing with seasonal or non-seasonal time series, such as hydrology, climatology, and econometrics. The algorithm can be extended to label detected changes with information on the parameters of the fitted piecewise linear models. BFAST monitoring functionality is added based on a paper that has been submitted to Remote Sensing of Environment. BFAST monitor provides functionality to detect disturbance in near real-time based on BFAST-type models.
Author: Jan Verbesselt [aut, cre], Achim Zeileis [aut], Rob Hyndman [ctb], Rogier De Jong [ctb]
Maintainer: Jan Verbesselt

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New package adagio with initial version 0.2.8
Package: adagio
Type: Package
Title: Discrete and Global Optimization Routines
Version: 0.2.8
Date: 2012-02-16
Author: Hans W Borchers
Maintainer: HwB
Description: The R package 'adagio' will provide methods and algorithms for discrete optimization and (evolutionary) global optimization.
License: GPL (>= 3)
LazyLoad: yes
LazyData: yes
Repository: CRAN
Repository/R-Forge/Project: optimist
Repository/R-Forge/Revision: 155
Packaged: 2012-02-16 23:22:46 UTC; rforge
Date/Publication: 2012-02-17 17:18:32

More information about adagio at CRAN
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Package relsurv updated to version 1.6-5 with previous version 1.6.4 dated 2011-06-02

Title: Relative survival
Description: Various functions for relative survival analysis.
Author: Maja Pohar Perme [aut, cre]
Maintainer: Maja Pohar Perme

Diff between relsurv versions 1.6.4 dated 2011-06-02 and 1.6-5 dated 2012-02-17

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Package MPCI updated to version 1.0.3 with previous version 1.0.2 dated 2012-01-14

Title: Multivariate Process Capability Indices (MPCI)
Description: MPCI package performs the followings Multivariate Process Capability Indices: Shahriari et al. (1995) Multivariate Capability Vector, Taam et al. (1993) Multivariate Capability Index (MCpm) and the followings based on Principal Component Analysis (PCA):Wang and Chen (1998), Xekalaki and Perakis (2002) and Wang (2005). Moreover, include two datasets.
Author: Edgar Santos Fernandez, Michele Scagliarini.
Maintainer: Edgar Santos Fernandez

Diff between MPCI versions 1.0.2 dated 2012-01-14 and 1.0.3 dated 2012-02-17

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Package bit64 updated to version 0.8-3 with previous version 0.8-2 dated 2012-01-27

Title: A S3 class for vectors of 64bit integers
Description: Package 'bit64' provides serializable S3 atomic 64bit (signed) integers that can be used in vectors, matrices, arrays and data.frames. Methods are available for coercion from and to logicals, integers, doubles, characters as well as many elementwise and summary functions. With 'integer64' vectors you can store very large integers at the expense of 64 bits, which is by factor 7 better than 'int64' from package 'int64'. Due to the smaller memory footprint, the atomic vector architecture and using only S3 instead of S4 classes, most operations are one to three orders of magnitude faster: Example speedups are 4x for serialization, 250x for adding, 900x for coercion and 2000x for object creation. Also 'integer64' avoids an ongoing (potentially infinite) penalty for garbage collection observed during existence of 'int64' objects (see code in example section). Last but not least, this package has no commercial copyright attached, it is not sponsored by any commercial company or otherwise influenced by commercial interests. Its mix of high-level R code with low-level C-code protects against misuse outside the GPLed R context.
Author: Jens Oehlschlägel
Maintainer: Jens Oehlschlägel

Diff between bit64 versions 0.8-2 dated 2012-01-27 and 0.8-3 dated 2012-02-17

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Package VennDiagram updated to version 1.1.3 with previous version 1.1.1 dated 2011-11-03

Title: Generate high-resolution Venn and Euler plots
Description: A set of functions to generate high-resolution Venn and Euler plots. Includes handling for several special cases, including two-case scaling, and extensive customization of plot shape and structure.
Author: Hanbo Chen
Maintainer: Paul Boutros

Diff between VennDiagram versions 1.1.1 dated 2011-11-03 and 1.1.3 dated 2012-02-17

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New package WideLM with initial version 0.1-1
Package: WideLM
Type: Package
Title: Fitting many skinny linear models to a single data set
Version: 0.1-1
Date: 2012-02-16
Author: Mark Seligman, with contributions from Chris Fraley.
Maintainer: Mark Seligman
SystemRequirements: Nvidia's CUDA toolkit (release >= 4.1); Linux operationg system; gcc (release <= 4.5).
Description: WideLM fits large numbers of linear models to a fixed design matrix and response. An Nvidia GPU is used to accelerate model fitting, with the CUDA API enabling parallel execution of multiple individual fits. The individual models must have modest size. The package implements a chunking interface to the GPU kernel, allowing the caller to stream model specifications. Hence the number of fits to be performed is essentially unlimited.
URL: http://insilicos.com/products/widelm
License: GPL (>= 2)
LazyLoad: yes
Depends: Rcpp
LinkingTo: Rcpp
Repository: CRAN
Packaged: 2012-02-16 19:28:05 UTC; seligman
Date/Publication: 2012-02-17 07:38:39

More information about WideLM at CRAN
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Package turboEM updated to version 2012.2-1 with previous version 2011.9-1 dated 2011-12-19

Title: A Suite of Convergence Acceleration Schemes for EM and MM algorithms
Description: Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM and MM algorithms. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("turboEM").
Author: Jennifer F. Bobb, Hui Zhao, and Ravi Varadhan.
Maintainer: Ravi Varadhan

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Package Rcpp updated to version 0.9.10 with previous version 0.9.9 dated 2011-12-27

Title: Seamless R and C++ Integration
Description: The Rcpp package provides R functions as well as a C++ library which facilitate the integration of R and C++. R data types (SEXP) are matched to C++ objects in a class hierarchy. All R types are supported (vectors, functions, environment, etc ...) and each type is mapped to a dedicated class. For example, numeric vectors are represented as instances of the Rcpp::NumericVector class, environments are represented as instances of Rcpp::Environment, functions are represented as Rcpp::Function, etc ... The "Rcpp-introduction" vignette provides a good entry point to Rcpp. Conversion from C++ to R and back is driven by the templates Rcpp::wrap and Rcpp::as which are highly flexible and extensible, as documented in the "Rcpp-extending" vignette. Rcpp also provides Rcpp modules, a framework that allows exposing C++ functions and classes to the R level. The "Rcpp-modules" vignette details the current set of features of Rcpp-modules. Rcpp includes a concept called Rcpp sugar that brings many R functions into C++. Sugar takes advantage of lazy evaluation and expression templates to achieve great performance while exposing a syntax that is much nicer to use than the equivalent low-level loop code. The "Rcpp-sugar" vignette gives an overview of the feature. Several examples are included, and more than 750 unit tests in over 330 unit test functions provide additional usage examples. An earlier version of Rcpp, containing what we now call the 'classic Rcpp API' was written during 2005 and 2006 by Dominick Samperi. This code has been factored out of Rcpp into the package RcppClassic, and it is still available for code relying on the older interface. New development should use alwayse use this Rcpp package instead.
Author: Dirk Eddelbuettel and Romain Francois, with contributions by Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel and Romain Francois

Diff between Rcpp versions 0.9.9 dated 2011-12-27 and 0.9.10 dated 2012-02-17

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Package RcmdrPlugin.pointG updated to version 0.2.1 with previous version 0.1 dated 2011-12-03

Title: Rcmdr Graphical POINT of view for questionnaire data Plug-In
Description: This package provides an Rcmdr "plug-in" to analyze questionnaire data.
Author: Stephane Champely
Maintainer: Stephane Champely

Diff between RcmdrPlugin.pointG versions 0.1 dated 2011-12-03 and 0.2.1 dated 2012-02-17

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Package Rcmdr updated to version 1.8-3 with previous version 1.8-1 dated 2011-12-27

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut, cre], Liviu Andronic [ctb], Michael Ash [ctb], Milan Bouchet-Valat [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Philippe Grosjean [ctb], Richard Heiberger [ctb], Kosar Karimi Pour [ctb], G. Jay Kerns [ctb], Renaud Lancelot [ctb], Matthieu Lesnoff [ctb], Uwe Ligges [ctb], Samir Messad [ctb], Martin Maechler [ctb], Robert Muenchen [ctb], Duncan Murdoch [ctb], Erich Neuwirth [ctb], Dan Putler [ctb], Brian Ripley [ctb], Miroslav Ristic [ctb], Peter Wolf [ctb]
Maintainer: John Fox

Diff between Rcmdr versions 1.8-1 dated 2011-12-27 and 1.8-3 dated 2012-02-17

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Package LogicReg updated to version 1.4.13 with previous version 1.4.12 dated 2012-02-14

Title: Logic Regression
Description: Routines for Logic Regression
Author: Charles Kooperberg and Ingo Ruczinski
Maintainer: Charles Kooperberg

Diff between LogicReg versions 1.4.12 dated 2012-02-14 and 1.4.13 dated 2012-02-17

 DESCRIPTION   |    8 +++----
 MD5           |    6 ++---
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Package forecast updated to version 3.18 with previous version 3.17 dated 2012-02-02

Title: Forecasting functions for time series
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob J Hyndman with contributions from Slava Razbash and Drew Schmidt
Maintainer: Rob J Hyndman

Diff between forecast versions 3.17 dated 2012-02-02 and 3.18 dated 2012-02-17

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