Sat, 31 Mar 2012

New package Matrix with initial version 1.0-6
Package: Matrix
Version: 1.0-6
Date: 2012-03-16
Priority: recommended
Title: Sparse and Dense Matrix Classes and Methods
Author: Douglas Bates and Martin Maechler
Maintainer: Doug and Martin
Description: Classes and methods for dense and sparse matrices and operations on them using Lapack and SuiteSparse.
Depends: R (>= 2.15.0), stats, methods, utils, lattice
Imports: graphics, grid
Suggests: expm, MASS
Enhances: MatrixModels, graph, SparseM (>= 0.87), sfsmisc
Encoding: UTF-8
LazyData: no
LazyDataNote: no longer available, since we use data/*.R *and* our classes
BuildResaveData: no
License: GPL (>= 2)
LicenseDetails: The Matrix package includes libraries AMD, CHOLMOD, COLAMD, CSparse and SPQR from the SuiteSparse collection of Tim Davis. All sections of that code are covered by the GPL or LGPL licenses. See the directory doc/UFsparse for details.
URL: http://Matrix.R-forge.R-project.org/
Packaged: 2012-03-16 07:44:09 UTC; maechler
Repository: CRAN
Date/Publication: 2012-03-30 10:15:28

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New package hdrcde with initial version 2.16
Package: hdrcde
Type: Package
Title: Highest density regions and conditional density estimation
Version: 2.16
Date: 2010-03-02
Author: Rob J Hyndman with contributions from Jochen Einbeck and Matt Wand
Maintainer: Rob J Hyndman
Depends: R (>= 2.15), locfit, ash, ks, KernSmooth
LazyData: yes
LazyLoad: yes
Description: Computation of highest density regions in one and two dimensions, kernel estimation of univariate density functions conditional on one covariate, and multimodal regression.
License: GPL (>= 2)
URL: http://www.robjhyndman.com/software/hdrcde
Packaged: 2012-03-02 04:47:50 UTC; hyndman
Repository: CRAN
Date/Publication: 2012-03-30 10:14:54

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New package gridSVG with initial version 0.9-1
Package: gridSVG
Title: Export grid graphics as SVG
Version: 0.9-1
Author: Paul Murrell
Description: Export grid graphics as SVG
Maintainer: Paul Murrell
Depends: R (>= 2.15.0), methods, grid
Suggests: lattice, XML
License: GPL
Packaged: 2011-12-13 21:09:45 UTC; pmur002
Repository: CRAN
Date/Publication: 2012-03-30 10:14:53

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New package gridGraphviz with initial version 0.1
Package: gridGraphviz
Version: 0.1
Depends: R (>= 2.15.0), grid, graph, Rgraphviz
Suggests: gridSVG
SystemRequirements: graphviz
Title: Drawing Graphs with Grid
Author: Paul Murrell
Maintainer: Paul Murrell
Description: Functions for drawing node-and-edge graphs that have been laid out by graphviz.
License: GPL (>= 2)
Packaged: 2012-01-10 20:33:35 UTC; pmur002
Repository: CRAN
Date/Publication: 2012-03-30 10:14:52

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New package gridDebug with initial version 0.4-0
Package: gridDebug
Version: 0.4-0
Depends: R (>= 2.15.0), grid, gridGraphviz, gridSVG
Suggests: lattice, ggplot2
SystemRequirements: graphviz
Title: Debugging Grid Graphics
Author: Paul Murrell and Velvet Ly.
Maintainer: Paul Murrell
Description: Functions for drawing scene trees representing scenes that have been drawn using grid graphics.
License: GPL (>= 2)
Packaged: 2012-01-10 20:48:54 UTC; pmur002
Repository: CRAN
Date/Publication: 2012-03-30 10:14:51

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New package DetSel with initial version 1.0
Package: DetSel
Version: 1.0
Date: 2012-03-12
Title: A computer program to detect markers responding to selection
Author: Renaud Vitalis .
Maintainer: Renaud Vitalis
Depends: R (>= 2.15), ash
Description: In the new era of population genomics, surveys of genetic polymorphism ("genome scans") offer the opportunity to distinguish locus-specific from genome wide effects at many loci. Identifying presumably neutral regions of the genome that are assumed to be influenced by genome-wide effects only, and excluding presumably selected regions, is therefore critical to infer population demography and phylogenetic history reliably. Conversely, detecting locus-specific effects may help identify those genes that have been, or still are, targeted by natural selection. The software package DetSel has been developed to identify markers that show deviation from neutral expectation in pairwise comparisons of diverging populations.
License: GPL (>= 2)
Packaged: 2012-03-12 15:16:34 UTC; Renaud
Repository: CRAN
Date/Publication: 2012-03-30 10:14:50

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Package RcmdrPlugin.epack updated to version 1.2.5 with previous version 1.2.4 dated 2010-06-12

Title: Rcmdr plugin for time series
Description: This package provides an Rcmdr "plug-in" based on the time series functions. Contributors: G. Jay Kerns, John Fox, and Richard Heiberger.
Author: Erin Hodgess
Maintainer: Erin Hodgess

Diff between RcmdrPlugin.epack versions 1.2.4 dated 2010-06-12 and 1.2.5 dated 2012-03-31

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Package powerSurvEpi updated to version 0.0.6 with previous version 0.0.5 dated 2009-04-17

Title: Power and sample size calculation for survival analysis of epidemiological studies
Description: This package includes a set of functions to calculate power and sample size for testing main effect or interaction effect in the survival analysis of epidemiological studies (non-randomized studies), taking into account the correlation between the covariate of the interest and other covariates. Some calculations also take into account the competing risks and stratified analysis. This package also includes a set of functions to calculate power and sample size for testing main effect in the survival analysis of randomized clinical trials.
Author: Weiliang Qiu , Jorge Chavarro , Ross Lazarus , Bernard Rosner , Jing Ma .
Maintainer: Weiliang Qiu

Diff between powerSurvEpi versions 0.0.5 dated 2009-04-17 and 0.0.6 dated 2012-03-31

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New package rpartScore with initial version 0.1.1
Package: rpartScore
Type: Package
Title: Classification trees for ordinal responses
Version: 0.1.1
Date: 2012-03-31
Author: Giuliano Galimberti, Gabriele Soffritti, Matteo Di Maso
Maintainer: Giuliano Galimberti
Depends: R (>= 2.14.2), rpart
Suggests: rpartOrdinal
Description: This package contains functions that allow to build classification trees for ordinal responses within the CART framework. The trees are grown using the Generalized Gini impurity function, where the misclassification costs are given by the absolute or squared differences in scores assigned to the categories of the response. Pruning is based on the total misclassification rate or on the total misclassification cost.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-03-31 12:41:05 UTC; giuliano.galimberti2
Repository: CRAN
Date/Publication: 2012-03-31 13:13:44

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Package yaImpute updated to version 1.0-18 with previous version 1.0-17 dated 2012-02-08

Title: yaImpute: An R Package for k-NN Imputation
Description: Performs popular nearest neighbor routines for imputation
Author: Nicholas L. Crookston , Andrew O. Finley
Maintainer: Nicholas L. Crookston

Diff between yaImpute versions 1.0-17 dated 2012-02-08 and 1.0-18 dated 2012-03-31

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Package wq updated to version 0.3-6 with previous version 0.3-5 dated 2012-03-02

Title: Exploring water quality monitoring data
Description: Functions to assist in the processing and exploration of data from monitoring programs for aquatic ecosystems. The name "wq" stands for "water quality" and reflects a focus on time series data for physical and chemical properties of water, as well as the plankton. The package is intended for programs that sample approximately monthly at discrete stations, a feature of many legacy data sets. Although our emphasis is on aquatic ecosystems, most of the functions should be useful for analysis of similar-frequency time series regardless of the subject matter.
Author: Alan D. Jassby and James E. Cloern
Maintainer: Alan Jassby

Diff between wq versions 0.3-5 dated 2012-03-02 and 0.3-6 dated 2012-03-31

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Package StructR updated to version 1.1 with previous version 1.0 dated 2011-12-23

Title: Structural geology tools
Description: Set of functions for the conversion, computation, and visualization of geological data.
Author: Jeffrey R. Webber
Maintainer: Jeffrey R. Webber

Diff between StructR versions 1.0 dated 2011-12-23 and 1.1 dated 2012-03-31

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Package ROracle updated to version 1.1-2 with previous version 1.1-1 dated 2012-02-02

Title: OCI based Oracle database interface for R
Description: Oracle database interface (DBI) driver for R. This is a DBI-compliant Oracle driver based on the OCI.
Author: Denis Mukhin, David A. James and Jake Luciani
Maintainer: Denis Mukhin

Diff between ROracle versions 1.1-1 dated 2012-02-02 and 1.1-2 dated 2012-03-31

 DESCRIPTION              |    8 -
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Package PerformanceAnalytics updated to version 1.0.4.4 with previous version 1.0.3.2 dated 2010-09-15

Title: Econometric tools for performance and risk analysis.
Description: Collection of econometric functions for performance and risk analysis. This package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.
Author: Peter Carl, Brian G. Peterson, Kris Boudt, Eric Zivot
Maintainer: Brian G. Peterson

Diff between PerformanceAnalytics versions 1.0.3.2 dated 2010-09-15 and 1.0.4.4 dated 2012-03-31

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 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/ChangeLog                                                           | 8827 ----------
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/DESCRIPTION                                                         |   22 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/MD5                                                                 |only
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/NAMESPACE                                                           |   14 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/NEWS                                                                |   17 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/ActivePremium.R                                                   |   33 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/CAPM.alpha.R                                                      |   40 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/CAPM.beta.R                                                       |   71 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/CAPM.utils.R                                                      |   86 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/CalmarRatio.R                                                     |   52 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/CoMoments.R                                                       |    4 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/DownsideDeviation.R                                               |  140 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Drawdowns.R                                                       |    6 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/ES.R                                                              |  125 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/HerfindahlIndex.R                                                 |    2 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/HurstIndex.R                                                      |    6 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/InformationRatio.R                                                |   36 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/KellyRatio.R                                                      |   45 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/MultivariateMoments.R                                             |    7 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Omega.R                                                           |   77 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/PainIndex.R                                                       |    4 
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 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/PortfolioRisk.R                                                   |   12 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.Geltner.R                                                  |   47 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.annualized.R                                               |   43 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.calculate.R                                                |   56 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.clean.R                                                    |  145 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.cumulative.R                                               |   31 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.excess.R                                                   |   46 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.index.R                                                    |    4 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.portfolio.R                                                |   74 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.read.R                                                     |   48 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.relative.R                                                 |   25 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/Return.wealthindex.R                                              |    4 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/SemiDeviation.R                                                   |    6 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/SharpeRatio.R                                                     |  121 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/SharpeRatio.annualized.R                                          |   50 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/SmoothingIndex.R                                                  |  100 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/SortinoRatio.R                                                    |   61 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/StdDev.R                                                          |   84 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/StdDev.annualized.R                                               |   59 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/TrackingError.R                                                   |   38 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/TreynorRatio.R                                                    |   36 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/UlcerIndex.R                                                      |    4 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/UpDownRatios.R                                                    |   49 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/UpsidePotentialRatio.R                                            |   88 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/VaR.Marginal.R                                                    |    4 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/VaR.R                                                             |  135 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/apply.fromstart.R                                                 |   30 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/apply.rolling.R                                                   |   34 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.ACF.R                                                       |   38 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.ACFplus.R                                                   |    4 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.Bar.R                                                       |   39 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.BarVaR.R                                                    |  139 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.Boxplot.R                                                   |   55 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.CaptureRatios.R                                             |   53 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.Correlation.R                                               |   29 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.CumReturns.R                                                |   63 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.Drawdown.R                                                  |   39 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.ECDF.R                                                      |   47 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.Events.R                                                    |   47 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.Histogram.R                                                 |  104 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.QQPlot.R                                                    |   84 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.Regression.R                                                |   59 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.RelativePerformance.R                                       |   47 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.RiskReturnScatter.R                                         |   76 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.RollingCorrelation.R                                        |   34 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.RollingMean.R                                               |   31 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.RollingPerformance.R                                        |   35 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.RollingQuantileRegression.R                                 |    4 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.RollingRegression.R                                         |   64 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.Scatter.R                                                   |   45 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.SnailTrail.R                                                |   63 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.StackedBar.R                                                |  106 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.TimeSeries.R                                                |  186 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/chart.VaRSensitivity.R                                            |   53 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/charts.Bar.R                                                      |   10 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/charts.BarVaR.R                                                   |   93 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/charts.PerformanceSummary.R                                       |   58 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/charts.RollingPerformance.R                                       |   34 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/charts.RollingRegression.R                                        |    6 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/charts.TimeSeries.R                                               |    6 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/checkData.R                                                       |   45 
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 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/findDrawdowns.R                                                   |   46 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/kurtosis.R                                                        |   44 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/legend.R                                                          |   88 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/maxDrawdown.R                                                     |  104 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/mean.utils.R                                                      |   33 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/na.skip.R                                                         |    4 
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 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/replaceTabs.R                                                     |    4 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/skewness.R                                                        |   44 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/sortDrawdowns.R                                                   |   76 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/table.AnnualizedReturns.R                                         |   34 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/table.Arbitrary.R                                                 |   77 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/table.Autocorrelation.R                                           |   35 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/table.CAPM.R                                                      |   48 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/table.CalendarReturns.R                                           |   40 
 PerformanceAnalytics-1.0.4.4/PerformanceAnalytics/R/table.CaptureRatios.R                                             |   36 
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Package optimx updated to version 2012-3.31 with previous version 2011-8.2 dated 2012-02-20

Title: A Replacement and Extension of the optim() Function
Description: Provides a replacement and extension of the optim() function to unify and streamline optimization capabilities in R for smooth, possibly box constrained functions of several or many parameters
Author: John C Nash and Ravi Varadhan
Maintainer: John C Nash

Diff between optimx versions 2011-8.2 dated 2012-02-20 and 2012-3.31 dated 2012-03-31

 DESCRIPTION   |   11 
 MD5           |    6 
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 4 files changed, 980 insertions(+), 979 deletions(-)

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Package opm updated to version 0.3-3 with previous version 0.2-1 dated 2012-03-09

Title: Tools for analysing OmniLog(R) Phenotype Microarray data
Description: Tools for analysing OmniLog(R) Phenotype Microarray (PM) data as produced by the device distributed by BiOLOG Inc., including plotting, aggregating (estimating curve parameters), comparing and discretizing PM data, creating phylogenetic formats and reports for taxonomic journals, integrating metadata, using the YAML format for the storage of data and metadata, and batch conversion of large numbers of files.
Author: Markus Goeker, with contributions by Lea Vaas, Johannes Sikorski, Nora Buddruhs and Anne Fiebig
Maintainer: Markus Goeker

Diff between opm versions 0.2-1 dated 2012-03-09 and 0.3-3 dated 2012-03-31

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 opm-0.3-3/opm/NAMESPACE                  |   18 +
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 opm-0.3-3/opm/R/constants.R              |   18 -
 opm-0.3-3/opm/R/data.R                   |   21 +
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 opm-0.3-3/opm/R/list.R                   |  358 ++++++++++++++++++++++++-------
 opm-0.3-3/opm/R/matrix.R                 |   24 ++
 opm-0.3-3/opm/R/numeric.R                |  344 +++++++++++++++++++++++++++++
 opm-0.3-3/opm/R/opm.R                    |   51 ++--
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 opm-0.3-3/opm/R/phylo.R                  |  273 +++++++++++++++++------
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More information about opm at CRAN
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Package ff updated to version 2.2-6 with previous version 2.2-5 dated 2012-01-27

Title: memory-efficient storage of large data on disk and fast access functions
Description: The ff package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section (pagesize) in main memory - the effective virtual memory consumption per ff object. ff supports R's standard atomic data types 'double', 'logical', 'raw' and 'integer' and non-standard atomic types boolean (1 bit), quad (2 bit unsigned), nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example 'quad' allows efficient storage of genomic data as an 'A','T','G','C' factor. The unsigned types support 'circular' arithmetic. There is also support for close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and custom close-to-atomic types. ff not only has native C-support for vectors, matrices and arrays with flexible dimorder (major column-order, major row-order and generalizations for arrays). There is also a ffdf class not unlike data.frames and import/export filters for csv files. ff objects store raw data in binary flat files in native encoding, and complement this with metadata stored in R as physical and virtual attributes. ff objects have well-defined hybrid copying semantics, which gives rise to certain performance improvements through virtualization. ff objects can be stored and reopened across R sessions. ff files can be shared by multiple ff R objects (using different data en/de-coding schemes) in the same process or from multiple R processes to exploit parallelism. A wide choice of finalizer options allows to work with 'permanent' files as well as creating/removing 'temporary' ff files completely transparent to the user. On certain OS/Filesystem combinations, creating the ff files works without notable delay thanks to using sparse file allocation. Several access optimization techniques such as Hybrid Index Preprocessing and Virtualization are implemented to achieve good performance even with large datasets, for example virtual matrix transpose without touching a single byte on disk. Further, to reduce disk I/O, 'logicals' and non-standard data types get stored native and compact on binary flat files i.e. logicals take up exactly 2 bits to represent TRUE, FALSE and NA. Beyond basic access functions, the ff package also provides compatibility functions that facilitate writing code for ff and ram objects and support for batch processing on ff objects (e.g. as.ram, as.ff, ffapply). ff interfaces closely with functionality from package 'bit': chunked looping, fast bit operations and coercions between different objects that can store subscript information ('bit', 'bitwhich', ff 'boolean', ri range index, hi hybrid index). This allows to work interactively with selections of large datasets and quickly modify selection criteria. Further high-performance enhancements can be made available upon request.
Author: Daniel Adler , Christian Gläser , Oleg Nenadic , Jens Oehlschlägel , Walter Zucchini
Maintainer: Jens Oehlschlägel

Diff between ff versions 2.2-5 dated 2012-01-27 and 2.2-6 dated 2012-03-31

 DESCRIPTION      |   18 +++++++++---------
 MD5              |   12 ++++++------
 NEWS             |   17 +++++++++++++++--
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 R/vmode.R        |   16 ++++++++--------
 man/unsort.rd    |    4 ++--
 src/ordermerge.c |    5 +++--
 7 files changed, 45 insertions(+), 31 deletions(-)

More information about ff at CRAN
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Package DiagTest3Grp updated to version 1.4 with previous version 1.2 dated 2011-07-22

Title: Diagnostic test summary measures for three ordinal groups
Description: The R package provides utilities to estimate and make inference on two summary measures for diagnostic tests when there are three ordinal groups ----volume under ROC surface (VUS) and the extended Youden index, assuming that diagnostic markers increase monotonically and stochastically with disease severity. Point estimates, variance, confidence interval and optimal cut-points both under the normal assumption and also the non-parametric method(s) will be provided for the summary measures. Statistical tests are implemented to compare multiple diagnostic tests and two diagnostic test. Sample size is calculated to estimate the summary measures within a user-specified margin of error for future study planning.
Author: Jingqin Luo, Chengjie Xiong
Maintainer: Jingqin Luo

Diff between DiagTest3Grp versions 1.2 dated 2011-07-22 and 1.4 dated 2012-03-31

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 R/NonParametric.VUS.R        |    4 ++--
 R/NonParametric.VUS.var.R    |    5 +++--
 R/Normal.VUS.R               |   30 ++++++++++++++++++++----------
 R/SampleSize.VUS.R           |   17 +++++++++++------
 R/SampleSize.Youden3Grp.R    |   11 +++++++++--
 R/VUS.R                      |   10 +++++-----
 R/Youden3Grp.PointEst.R      |   14 +++++++++++---
 R/Youden3Grp.R               |    8 +++++---
 R/Youden3Grp.boxcox.fit.R    |    4 ++--
 man/NonParametric.VUS.Rd     |    5 +++--
 man/NonParametric.VUS.var.Rd |    9 +++++----
 man/Normal.VUS.Rd            |   20 +++++++++++++++++---
 man/SampleSize.VUS.Rd        |    5 ++---
 man/VUS.Rd                   |    3 ++-
 man/Youden3Grp.PointEst.Rd   |    3 ++-
 man/Youden3Grp.Rd            |    3 ++-
 man/plot.DiagTest3Grp.Rd     |    2 +-
 man/print.DiagTest3Grp.Rd    |    2 +-
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More information about DiagTest3Grp at CRAN
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Package apt updated to version 1.1 with previous version 1.0 dated 2011-02-05

Title: Asymmetric Price Transmission (apt)
Description: This package focuses on asymmetric price transmission (APT) between two time series. This package contains functions for linear and nonlinear threshold cointegration, and furthermore, symmetric and asymmetric error correction model.
Author: Changyou Sun
Maintainer: Changyou Sun

Diff between apt versions 1.0 dated 2011-02-05 and 1.1 dated 2012-03-31

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More information about apt at CRAN
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Package afmtools updated to version 0.1.6 with previous version 0.1.5 dated 2012-03-20

Title: Estimation, Diagnostic and Forecasting Functions for ARFIMA models
Description: A collection of estimation, forecasting and diagnostic tools for autoregressive fractionally integrated moving-average process (ARFIMA).
Author: Javier Contreras-Reyes, Georg M. Goerg, Wilfredo Palma
Maintainer: Javier Contreras-Reyes

Diff between afmtools versions 0.1.5 dated 2012-03-20 and 0.1.6 dated 2012-03-31

 DESCRIPTION             |    8 ++++----
 MD5                     |    8 ++++----
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 R/rho.sowell.R          |   32 ++++++++++++++------------------
 man/afmtools-package.Rd |    2 +-
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More information about afmtools at CRAN
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