Tue, 12 Apr 2011

Package SemiParBIVProbit updated to version 1.0-3 with previous version 1.0-2 dated 2011-04-01

Title: Semiparametric Bivariate Probit Modelling
Description: Routine for bivariate probit modelling with linear predictors specified using parametric and nonparametric components.
Author: Giampiero Marra and Rosalba Radice
Maintainer: Giampiero Marra

Diff between SemiParBIVProbit versions 1.0-2 dated 2011-04-01 and 1.0-3 dated 2011-04-12

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 8 files changed, 55 insertions(+), 59 deletions(-)

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Package Rcpp updated to version 0.9.4 with previous version 0.9.3 dated 2011-04-05

Title: Seamless R and C++ Integration
Description: The Rcpp package provides a C++ library which facilitates 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 751 unit tests in 336 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 this interface. New development should use this 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 0.9.3 dated 2011-04-05 and 0.9.4 dated 2011-04-12

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Package twitteR updated to version 0.99.2 with previous version 0.99.0 dated 2011-03-31

Title: R based Twitter client
Description: Provides an interface to the Twitter web API
Author: Jeff Gentry
Maintainer: Jeff Gentry

Diff between twitteR versions 0.99.0 dated 2011-03-31 and 0.99.2 dated 2011-04-12

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Package spdep updated to version 0.5-31 with previous version 0.5-29 dated 2011-03-14

Title: Spatial dependence: weighting schemes, statistics and models
Description: A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tesselations, for summarising these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial autocorrelation, including global Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic, Empirical Bayes estimates and Assunção/Reis Index, Getis/Ord G and multicoloured join count statistics, local Moran's I and Getis/Ord G, saddlepoint approximations and exact tests for global and local Moran's I; and functions for estimating spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares models.
Author: Roger Bivand , with contributions by Micah Altman, Luc Anselin, Renato Assunção, Olaf Berke, Andrew Bernat, Guillaume Blanchet, Eric Blankmeyer, Marilia Carvalho, Bjarke Christensen, Yongwan Chun, Carsten Dormann, Stéphane Dray, Rein Halbersma, Elias Krainski, Pierre Legendre, Nicholas Lewin-Koh, Hongfei Li, Jielai Ma, Giovanni Millo, Werner Mueller, Hisaji Ono, Pedro Peres-Neto, Gianfranco Piras, Markus Reder, Michael Tiefelsdorf, and Danlin Yu.
Maintainer: Roger Bivand

Diff between spdep versions 0.5-29 dated 2011-03-14 and 0.5-31 dated 2011-04-12

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Package openair updated to version 0.4-15 with previous version 0.4-10 dated 2011-03-08

Title: Tools for the analysis of air pollution data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
Author: David Carslaw and Karl Ropkins
Maintainer: David Carslaw

Diff between openair versions 0.4-10 dated 2011-03-08 and 0.4-15 dated 2011-04-12

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Package HDclassif updated to version 1.1.3 with previous version 1.1.2 dated 2011-02-10

Title: High Dimensionnal Supervised Classification and Clustering
Description: New disciminant analysis and data clustering methods for high dimensional data, based on the asumption that high-dimensional data live in different subspaces with low dimensionality proposing a new parametrization of the Gaussian mixture model which combines the ideas of dimension reduction and constraints on the model.
Author: L.Berge C.Bouveyron S.Girard
Maintainer: L.Berge

Diff between HDclassif versions 1.1.2 dated 2011-02-10 and 1.1.3 dated 2011-04-12

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Package ade4 updated to version 1.4-17 with previous version 1.4-16 dated 2010-08-19

Title: Analysis of Ecological Data : Exploratory and Euclidean methods in Environmental sciences
Description: Multivariate data analysis and graphical display.
Author: Daniel Chessel, Anne-Beatrice Dufour and Stephane Dray , with contributions from Thibaut Jombart, Jean R. Lobry, Sebastien Ollier, Sandrine Pavoine and Jean Thioulouse.
Maintainer: Simon Penel

Diff between ade4 versions 1.4-16 dated 2010-08-19 and 1.4-17 dated 2011-04-12

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Package triggr updated to version 0.2 with previous version 0.1 dated 2011-04-05

Title: Fast, simple RPC controller for R
Description: Triggr launches a server that gathers RNRN-terminated text messages, executes arbitrary R function on them and sends back the results in the same format. Communication is event-based and delegated to a septate thread making triggr an efficient solution for high-load tasks.
Author: Miron B. Kursa
Maintainer: Miron B. Kursa

Diff between triggr versions 0.1 dated 2011-04-05 and 0.2 dated 2011-04-12

 DESCRIPTION   |    6 +++---
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Package raster updated to version 1.8-12 with previous version 1.8-9 dated 2011-03-27

Title: Geographic analysis and modeling with raster data
Description: Reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions, as well as map algebra. Processing of very large files is supported.
Author: Robert J. Hijmans & Jacob van Etten
Maintainer: Robert J. Hijmans

Diff between raster versions 1.8-9 dated 2011-03-27 and 1.8-12 dated 2011-04-12

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New package rneos with initial version 0.2-6
Package: rneos
Version: 0.2-6
Date: 2011-04-11
Title: rneos: XML-RPC Interface to NEOS
Author: Bernhard Pfaff
Maintainer: Bernhard Pfaff
Depends: R (>= 2.10.0), methods, XMLRPC, RCurl, XML, stats
LazyLoad: yes
Description: Within this package the XML-RPC API to NEOS is implemented. This enables the user to pass optimization problems to NEOS and retrieve results within R.
License: GPL (>= 2)
Repository: CRAN
Repository/R-Forge/Project: rneos
Repository/R-Forge/Revision: 222
Date/Publication: 2011-04-12 09:19:09
Packaged: 2011-04-11 20:58:51 UTC; rforge

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Package lessR updated to version 1.8.6 with previous version 1.8.5 dated 2011-04-06

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, rad() and full(), together read the csv data and generate descriptive statistics for all variables in the data frame, plus histograms and bar charts for all respective numerical and non-numerical variables. The function smd.t.test introduces the ODDSMD plot, which displays the Overlapping Density Distributions of two independent groups as well as a visual display of the mean difference and standardized mean difference. Other functions provide for descriptive statistics, the t-test from descriptive statistics, a comprehensive regression analysis, color plotting, color bar chart, color histogram, color box plot, density curves, a calibrated power curve plotted with colors, and the reading and display of csv formatted data. The function help.me provides a help system that suggests specific analyses and functions.
Author: David W. Gerbing, School of Business Administration, Portland State University
Maintainer: David W. Gerbing

Diff between lessR versions 1.8.5 dated 2011-04-06 and 1.8.6 dated 2011-04-12

 DESCRIPTION       |    8 -
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Package LiblineaR updated to version 1.80-1 with previous version 1.80-0 dated 2011-04-11

Title: Linear Predictive Models Based On The Liblinear C/C++ Library.
Description: This R package is a wrapper around the liblinear C/C++ library for machine learning. LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized classifiers (such as L2-loss linear SVM, L1-loss linear SVM, and logistic regression) as well as L1-regularized classifiers (such as L2-loss linear SVM and logistic regression). The main features of LiblineaR include multi-class classification (one-vs-the rest, and Crammer & Singer method), cross validation for model selection, probability estimates (logistic regression only) or weights for unbalanced data. The estimation of the models is particularly fast as compared to other libraries. For more information on the C/C++ liblinear library itself, refer to R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A Library for Large Linear Classification, Journal of Machine Learning Research 9(2008), 1871-1874, available at http://www.csie.ntu.edu.tw/~cjlin/liblinear . The two first blocks of the package version indicates which version of liblinear is currently supported. For example: 1.32-14 means that the package supports the version 1.32 of liblinear.
Author: Thibault Helleputte
Maintainer: Thibault Helleputte

Diff between LiblineaR versions 1.80-0 dated 2011-04-11 and 1.80-1 dated 2011-04-12

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New package kulife with initial version 0.1-5
Package: kulife
Version: 0.1-5
Title: Data sets and functions from the Faculty of Life Sciences, University of Copenhagen
Author: Claus Ekstrom , Ib M. Skovgaard , Torben Martinussen
Maintainer: Claus Ekstrom
Enhances: XML
Description: Provides various functions and data sets from experiments at the Faculty of Life Sciences, University of Copenhagen
License: GPL-2
Packaged: 2011-04-11 19:17:53 UTC; claus
Repository: CRAN
Date/Publication: 2011-04-12 06:22:23

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New package audit with initial version 0.1-1
Package: audit
Version: 0.1-1
Date: 15 Apr 2005
Title: Bounds for Accounting Populations
Author: Glen Meeden .
Maintainer: Glen Meeden
Description: Two Bayesian methods for Accounting Populations
License: MIT
Packaged: 2011-04-11 22:25:24 UTC; glen
Repository: CRAN
Date/Publication: 2011-04-12 06:22:20

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New package PSCN with initial version 1.0
Package: PSCN
Type: Package
Title: Parent Specific DNA Copy Number Estimation
Version: 1.0
Date: 2011-03-28
Author: Hao Chen, Haipeng Xing, and Nancy R. Zhang
Maintainer: Hao Chen
Depends: R (>= 2.10.0), MASS
Description: This package estimate parent specific DNA copy number for human genomes using high-density SNP arrays data, that is, the data has two component, logR and B-allele frequency.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2011-04-11 23:34:34 UTC; haochen
Repository: CRAN
Date/Publication: 2011-04-12 06:22:15

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New package ICC with initial version 2.0
Package: ICC
Type: Package
Title: Functions facilitating the estimation of the Intraclass Correlation Coefficient
Version: 2.0
Date: 2011-01-31
Author: Matthew Wolak
Maintainer:
Description: The package allows for the estimation of the Intraclass Correlation Coefficient (ICC) as well as its confidence interval. Also, it estimates the number of individuals or groups necessary to obtain an ICC estimate with a desired confidence interval width.
License: GPL-2
LazyLoad: yes
Repository: CRAN
Repository/R-Forge/Project: icc
Repository/R-Forge/Revision: 10
Date/Publication: 2011-04-12 06:22:04
Packaged: 2011-03-15 21:35:14 UTC; rforge

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