Fri, 30 Dec 2011

New package R2OpenBUGS with initial version 3.2-1.3
Package: R2OpenBUGS
Title: Running OpenBUGS from R
Date: 2011-12-20
Version: 3.2-1.3
Author: originally written as R2WinBUGS by Andrew Gelman ; changes and packaged by Sibylle Sturtz and Uwe Ligges . With considerable contributions by Gregor Gorjanc and Jouni Kerman . Adapted to R2OpenBUGS from R2WinBUGS by Neal Thomas.
Description: Using this package, it is possible to call a BUGS model, summarize inferences and convergence in a table and graph, and save the simulations in arrays for easy access in R.
Depends: R (>= 2.11.0)
Imports: coda (>= 0.11-0), boot
SystemRequirements: OpenBUGS (>= 3.2.1)
Maintainer: Neal Thomas
License: GPL-2
Packaged: 2011-12-23 14:18:25 UTC; ThomasN
Repository: CRAN
Date/Publication: 2011-12-30 12:44:22

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Package wasim updated to version 1.1.2 with previous version 1.1.1 dated 2011-12-23

Title: Visualisation and analysis of output files of the hydrological model WASIM
Description: Helpful tools for data processing and visualisation of results of the hydrological model WASIM-ETH.
Author: Dominik Reusser, Till Francke
Maintainer: Dominik Reusser

Diff between wasim versions 1.1.1 dated 2011-12-23 and 1.1.2 dated 2011-12-30

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Package tis updated to version 1.18 with previous version 1.17 dated 2011-04-07

Title: Time Indexes and Time Indexed Series
Description: Functions and S3 classes for time indexes and time indexed series, which are compatible with FAME frequencies.
Author: Jeff Hallman
Maintainer: Jeff Hallman

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Package testthat updated to version 0.6 with previous version 0.5 dated 2011-06-01

Title: Testthat code. Tools to make testing fun :)
Description: A testing package specifically tailored for R that's fun, flexible and easy to set up.
Author: Hadley Wickham
Maintainer: Hadley Wickham

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Package RTisean updated to version 3.0.14 with previous version 3.0.13 dated 2011-06-07

Title: R interface to Tisean algorithms
Description: Algorithms for time series analysis from nonlinear dynamical systems theory originally made available by Rainer Hegger, Holger Kantz and Thomas Schreiber at the site http://www.mpipks-dresden.mpg.de/~tisean/ . A related R package (tseriesChaos by Antonio, Fabio Di Narzo) contains rewritten versions of a few of the TISEAN algorithms. The intention of the present package is to use the TISEAN routines from within R with no need of manual importing/exporting. It is in a beta version state, though most of the functions should be usable. Correspondence should be sent to either Marji Lines, lines@dss.uniud.it, or to the current maintainer of the package. This package only contains R interface code. It requires that you have the Tisean-3.0.1 algorithms available on your computer.
Author: TISEAN authors: Rainer Hegger, Holger Kantz, Thomas Schreiber. R interface code by Antonio, Fabio Di Narzo, R documentation and examples by Gianluca Gazzola
Maintainer: Antonio Fabio Di Narzo

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Package RSAGA updated to version 0.93-1 with previous version 0.92-2 dated 2011-09-06

Title: SAGA Geoprocessing and Terrain Analysis in R
Description: RSAGA provides access to geocomputing and terrain analysis functions of SAGA from within R by running the command line version of SAGA. In addition, several R functions for handling and manipulating ASCII grids are provided, including a flexible framework for applying local functions (including predict methods of fitted models) or focal functions to multiple grids. SAGA GIS is available under GPL via http://sourceforge.net/projects/saga-gis/.
Author: Alexander Brenning
Maintainer: Alexander Brenning

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Package RPostgreSQL updated to version 0.3-0 with previous version 0.2-1 dated 2011-11-17

Title: R interface to the PostgreSQL database system
Description: Database interface and PostgreSQL driver for R This package provides a Database Interface (DBI) compliant driver for R to access PostgreSQL database systems. In order to build and install this package from source, PostgreSQL itself must be present your system to provide PostgreSQL functionality via its libraries and header files. These files are provided as postgresql-devel package under some Linux distributions. On Microsoft Windows system the attached libpq library source will be used. A wiki and issue tracking system for the package are available at Google Code at https://code.google.com/p/rpostgresql/ .
Author: Joe Conway, Dirk Eddelbuettel, Tomoaki Nishiyama, Sameer Kumar Prayaga (during 2008), Neil Tiffin
Maintainer: Tomoaki Nishiyama

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Package ror updated to version 0.6 with previous version 0.4 dated 2011-12-20

Title: Robust Ordinal Regression MCDA library
Description: An R package for computing both exact- and stochastic robust ordinal regression.
Author: Tommi Tervonen
Maintainer: Tommi Tervonen

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Package Rglpk updated to version 0.3-6 with previous version 0.3-5 dated 2010-02-15

Title: R/GNU Linear Programming Kit Interface
Description: R interface to the GNU Linear Programing Kit (GLPK version 4.45). GLPK is open source software for solving large-scale linear programming (LP), mixed integer linear programming (MILP) and other related problems.
Author: Kurt Hornik [aut], Stefan Theussl [aut, cre]
Maintainer: Stefan Theussl

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New package rFerns with initial version 0.1
Package: rFerns
Type: Package
Title: Random ferns classifier
Version: 0.1
Date: 2011-12-29
Author: Miron B. Kursa
Maintainer: Miron B. Kursa
Description: An R implementation of the random ferns classifier by Ozuysal et al., modified for generic classification problems and featuring OOB error approximation and importance measure.
License: GPL-3
Packaged: 2011-12-29 22:01:51 UTC; mbq
Repository: CRAN
Date/Publication: 2011-12-30 11:23:08

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Package RcppExamples updated to version 0.1.3 with previous version 0.1.2 dated 2010-12-22

Title: Examples using Rcpp to interface R and C++
Description: Examples for Seamless R and C++ integration The Rcpp package contains a C++ library that facilitates the integration of R and C++ in various ways. This package provides some usage examples. Note that the documentation in this package currently does not cover all the features in the package. It is not even close. It does however provide a few example based on both the (deprecated) `classic' API and the current Rcpp API which supercedes it. As such, it can help in porting from the older API to the newer API.
Author: Dirk Eddelbuettel and Romain Francois, based on code written during 2005 and 2006 by Dominick Samperi
Maintainer: Dirk Eddelbuettel and Romain Francois

Diff between RcppExamples versions 0.1.2 dated 2010-12-22 and 0.1.3 dated 2011-12-30

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Package random.polychor.pa updated to version 1.1.3.2 with previous version 1.1.3.1 dated 2011-11-07

Title: A Parallel Analysis With Polychoric Correlation Matrices
Description: The Function performs a parallel analysis using simulated polychoric correlation matrices. The nth-percentile of the eigenvalues distribution obtained from both the randomly generated and the real data polychoric correlation matrices is returned. A plot comparing the two types of eigenvalues (real and simulated) will help determine the number of real eigenvalues that outperform random data. The function is based on the idea that if real data are non-normal and the polychoric correlation matrix is needed to perform a Factor Analysis, then the Parallel Analysis method used to choose a non-random number of factors should also be based on randomly generated polychoric correlation matrices and not on Pearson correlation matrices. Version 1.1.1, fixed a minor bug in the regarding the estimated time needed to complete the simulation. Also in this version, the function is now able to manage supplied data.matrix in which variables representing factors (i.e., variables with ordered categories) are present and may cause an error when the Pearson correlation matrix is calculated. Version 1.1.2 simply has updated the function that calculates the polycoric correlation matrix due to changes in the psych() package. Version 1.1.3 tackles two problems signalled by users: 1) the possibility to make available the results of simulation for plotting them in other softwares. Now the random.polychor.pa will show, upon request, all the data used in the scree-plot. 2) The function polichoric() of the psych() package does not handle data matrices that include 0 as possible category and will cause the function to stop with error. So a check for the detection of the 0 code within the provided data.matrix is now added and will cause the random.polychor.pa function to stop with a warning message.
Author: Fabio Presaghi & Marta Desimoni
Maintainer: Fabio Presaghi

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Package plyr updated to version 1.7 with previous version 1.6 dated 2011-07-29

Title: Tools for splitting, applying and combining data
Description: plyr is a set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each pieces and then put all the pieces back together. For example, you might want to fit a model to each spatial location or time point in your study, summarise data by panels or collapse high-dimensional arrays to simpler summary statistics. The development of plyr has been generously supported by BD (Becton Dickinson).
Author: Hadley Wickham
Maintainer: Hadley Wickham

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Package orsk updated to version 0.1-2 with previous version 0.1-1 dated 2011-07-06

Title: Convertinging Odds Ratio to Relative Risk with Partial Data Information
Description: Convertinging Odds Ratio to Relative Risk with Partial Data Information
Author: Zhu Wang
Maintainer: Zhu Wang

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Package oro.nifti updated to version 0.3.1 with previous version 0.3.0 dated 2011-12-28

Title: Rigorous - NIfTI+ANALYZE+AFNI Input / Output
Description: Functions for the input/output and visualization of medical imaging data that follow either the ANALYZE, NIfTI or AFNI formats. This package is part of the Rigorous Analytics bundle.
Author: Brandon Whitcher, Volker Schmid and Andrew Thornton, with contributions by Karsten Tabelow
Maintainer: Brandon Whitcher

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New package NormalGamma with initial version 0.1.0
Package: NormalGamma
Type: Package
Title: Normal-gamma convolution model
Version: 0.1.0
Date: 2011-12-20
Author: S. Plancade and Y. Rozenholc
Maintainer: Sandra Plancade
Description: The functions proposed in this package compute the density of the sum of a gaussian and a gamma random variables, estimate the parameters and correct the noise effect in a gamma-signal and gaussian-noise model. This package has been used to implement the background correction method for Illumina microarray data presented in Plancade S., Rozenholc Y. and Lund E. (http://arxiv.org/abs/1112.4180).
License: GPL-2
Depends: optimx , histogram
Packaged: 2011-12-28 23:17:26 UTC; sandra
Repository: CRAN
Date/Publication: 2011-12-30 11:22:36

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Package MigClim updated to version 0.3 with previous version 0.2 dated 2011-12-06

Title: Simulating migration under climate change
Description: Functions for simulating species migration under climate change scenarios.
Author: Robin Engler and Wim Hordijk
Maintainer: Robin Engler

Diff between MigClim versions 0.2 dated 2011-12-06 and 0.3 dated 2011-12-30

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Package lifecontingencies updated to version 0.0.7 with previous version 0.0.6 dated 2011-11-05

Title: Package to perform actuarial evaluation of life contingencies
Description: Financial and actuarial functions to evaluate life contingencies.
Author: Giorgio A. Spedicato
Maintainer: Giorgio A. Spedicato

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New package mcbiopi with initial version 1.1.0
Package: mcbiopi
Title: Matrix Computation Based Identification Of Prime Implicants
Version: 1.1.0
Date: 2011-12-29
Author: Holger Schwender
Maintainer: Holger Schwender
Description: Computes the prime implicants or a minimal disjunctive normal form for a logic expression presented by a truth table or a logic tree. Has been particularly developed for logic expressions resulting from a logic regression analysis, i.e. logic expressions typically consisting of up to 16 literals, where the prime implicants are typically composed of a maximum of 4 or 5 literals.
License: LGPL (>= 2)
Packaged: 2011-12-29 01:52:01 UTC; schwender
Repository: CRAN
Date/Publication: 2011-12-30 11:23:02

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Package gRim updated to version 0.1.4 with previous version 0.1.3 dated 2011-12-04

Title: Graphical Interaction Models
Description: Implements graphical interaction models for contingency tables (i.e. log-linear models) and graphical Gaussian models for the multivariate normal data (i.e. covariance selection models) and mixed interaction models
Author: Søren Højsgaard
Maintainer: Søren Højsgaard

Diff between gRim versions 0.1.3 dated 2011-12-04 and 0.1.4 dated 2011-12-30

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Package gRbase updated to version 1.4.2 with previous version 1.4.1 dated 2011-09-07

Title: A package for graphical modelling in R
Description: The gRbase package provides certain general constructs which are used by other graphical modelling packages. This includes 1) the concept of gmData (graphical meta data), 2) several graph algorithms 3) facilities for table operations, 4) functions for testing for conditional independence. gRbase also illustrates how hierarchical log-linear models (hllm) may be implemented.
Author: Søren Højsgaard and Claus Dethlefsen with contributions from Clive Bowsher
Maintainer: Søren Højsgaard

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Package gRain updated to version 0.8.10 with previous version 0.8.9 dated 2011-09-07

Title: Graphical Independence Networks
Description: A package for probability propagation in graphical independence networks, also known as probabilistic expert systems (which includes Bayesian networks as a special case).
Author: Søren Højsgaard
Maintainer: Søren Højsgaard

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Package genridge updated to version 0.6-2 with previous version 0.6-1 dated 2011-12-19

Title: Generalized ridge trace plots for ridge regression
Description: The genridge package introduces generalizations of the standard univariate ridge trace plot used in ridge regression and related methods. These graphical methods show both bias (actually, shrinkage) and precision, by plotting the covariance ellipsoids of the estimated coefficients, rather than just the estimates themselves. 2D and 3D plotting methods are provided, both in the space of the predictor variables and in the transformed space of the PCA/SVD of the predictors.
Author: Michael Friendly
Maintainer: Michael Friendly

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Package frontier updated to version 0.997-4 with previous version 0.997-2 dated 2011-03-04

Title: Stochastic Frontier Analysis
Description: Maximum Likelihood Estimation of Stochastic Frontier Production and Cost Functions. Two specifications are available: the error components specification with time-varying efficiencies (Battese and Coelli, 1992) and a model specification in which the firm effects are directly influenced by a number of variables (Battese and Coelli, 1995).
Author: Tim Coelli, Arne Henningsen
Maintainer: Arne Henningsen

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Package fame updated to version 2.18 with previous version 2.17 dated 2011-10-15

Title: Interface for FAME time series database
Description: Read and write FAME databases.
Author: Jeff Hallman
Maintainer: Jeff Hallman

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Package fast updated to version 0.60 with previous version 0.51 dated 2009-03-27

Title: Implementation of the Fourier Amplitute Sensitivity Test (FAST)
Description: The Fourier Amplitute Sensitivity Test (FAST) is a method to deterimine global sensitivities of a model on parameter changes with relavtively few model runs. This package implements this sensitivity analysis method.
Author: Dominik Reusser
Maintainer: Dominik Reusser

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New package cin with initial version 0.1
Package: cin
Type: Package
Title: Causal Inference for Neuroscience
Version: 0.1
Date: 2011-12-28
Author: Xi (Rossi) LUO with contributions from Dylan Small, Chiang-shan Li, and Paul Rosenbaum
Maintainer: Xi (Rossi) LUO
Description: Many experiments in neuroscience involve randomized and fast stimulation while the continuous outcome measures respond at much slower time scale, for example event-related fMRI. This package provide valid statistical tools with causal interpretation under these challenging settings, without imposing model assumptions.
License: GPL-2
Packaged: 2011-12-28 18:46:30 UTC; xluo
Repository: CRAN
Date/Publication: 2011-12-30 11:22:46

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Package CDVine updated to version 1.1-5 with previous version 1.1-4 dated 2011-10-23

Title: Statistical inference of C- and D-vine copulas
Description: This package provides functions for statistical inference of canonical vine (C-vine) and D-vine copulas. It contains tools for bivariate exploratory data analysis and for bivariate as well as vine copula selection. Models can be estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods are also included. Data is assumed to lie in the unit hypercube (so-called copula data).
Author: Ulf Schepsmeier, Eike Christian Brechmann
Maintainer: Ulf Schepsmeier, Eike Christian Brechmann

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