mcr

Package: mcr
Version: 1.2.1
Date: 2014-02-11
Title: Method Comparison Regression
Author: Ekaterina Manuilova <ekaterina.manuilova@roche.com> Andre Schuetzenmeister <andre.schuetzenmeister@roche.com> Fabian Model <fabian.model@roche.com>
Maintainer: Fabian Model <fabian.model@roche.com>
Depends: R (>= 3.0.0), methods
Suggests: RUnit, XML
Description: This package provides regression methods to quantify the relation between two measurement methods. In particular it addresses regression problems with errors in both variables and without repeated measurements. The package provides implementations of Deming regression, weighted Deming regression, and Passing-Bablok regression following the CLSI EP09-A3 recommendations for analytical method comparison and bias estimation using patient samples.
License: GPL (>= 3)
Collate: "mcrMisc.r" "mcLinReg.r" "mcDeming.r" "mcWDeming.r"
"mcPaBaLarge.r" "mcPaBa.r" "mcCalcCI.r" "mcCalcTstar.r"
"mcBootstrap.r" "MCResultMethods.r" "MCResult.r"
"MCResultAnalyticalMethods.r" "MCResultAnalytical.r"
"MCResultJackknifeMethods.r" "MCResultJackknife.r"
"MCResultResamplingMethods.r" "MCResultResampling.r"
"MCResultBCaMethods.r" "MCResultBCa.r" "mcrInterface.r"
"mcrCompareFit.r" "mcrIncludeLegend.r" "zzz.r"
Packaged: 2014-02-12 12:20:55 UTC; modelf
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-02-12 13:39:04

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'mcr' ...
** package 'mcr' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c PaBaAlgorithm.c -o PaBaAlgorithm.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o mcr.so PaBaAlgorithm.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/mcr/libs
** R
** data
** inst
** preparing package for lazy loading
Creating a generic function for 'plot' from package 'graphics' in package 'mcr'
** help
*** installing help indices
  converting help for package 'mcr'
    finding HTML links ... done
    MCResult-class                          html  
    MCResult.calcBias                       html  
    MCResult.calcCUSUM                      html  
    MCResult.calcResponse                   html  
    MCResult.getCoefficients                html  
    MCResult.getData                        html  
    MCResult.getErrorRatio                  html  
    MCResult.getFitted                      html  
    MCResult.getRegmethod                   html  
    MCResult.getResiduals                   html  
    MCResult.getWeights                     html  
    MCResult.initialize                     html  
    MCResult.plot                           html  
    MCResult.plotBias                       html  
    MCResult.plotDifference                 html  
    MCResult.plotResiduals                  html  
    MCResult.printSummary                   html  
    MCResultAnalytical-class                html  
    MCResultAnalytical.calcResponse         html  
    MCResultAnalytical.initialize           html  
    MCResultAnalytical.printSummary         html  
    MCResultBCa-class                       html  
    MCResultBCa.bootstrapSummary            html  
    MCResultBCa.calcResponse                html  
    MCResultBCa.initialize                  html  
    MCResultBCa.plotBootstrapCoefficients   html  
    MCResultBCa.plotBootstrapT              html  
    MCResultBCa.printSummary                html  
    MCResultJackknife-class                 html  
    MCResultJackknife.calcResponse          html  
    MCResultJackknife.getJackknifeIntercept
                                            html  
    MCResultJackknife.getJackknifeSlope     html  
    MCResultJackknife.getJackknifeStatistics
                                            html  
    MCResultJackknife.getRJIF               html  
    MCResultJackknife.initialize            html  
    MCResultJackknife.plotwithRJIF          html  
    MCResultJackknife.printSummary          html  
    MCResultResampling-class                html  
    MCResultResampling.bootstrapSummary     html  
    MCResultResampling.calcResponse         html  
    MCResultResampling.initialize           html  
    MCResultResampling.plotBootstrapCoefficients
                                            html  
    MCResultResampling.plotBootstrapT       html  
    MCResultResampling.printSummary         html  
    calcDiff                                html  
    compareFit                              html  
    creatinine                              html  
    includeLegend                           html  
    mc.analytical.ci                        html  
    mc.bootstrap                            html  
    mc.calc.Student                         html  
    mc.calc.bca                             html  
    mc.calc.quant                           html  
    mc.calc.quantile                        html  
    mc.calc.tboot                           html  
    mc.calcAngleMat.R                       html  
    mc.calcAngleMat                         html  
    mc.calcLinnetCI                         html  
    mc.calcTstar                            html  
    mc.deming                               html  
    mc.linreg                               html  
    mc.make.CIframe                         html  
    mc.paba.LargeData                       html  
    mc.paba                                 html  
    mc.wdemingConstCV                       html  
    mc.wlinreg                              html  
    mcr-package                             html  
    mcreg                                   html  
    newMCResult                             html  
    newMCResultAnalytical                   html  
    newMCResultBCa                          html  
    newMCResultJackknife                    html  
    newMCResultResampling                   html  
** building package indices
** testing if installed package can be loaded
* DONE (mcr)
Making 'packages.html' ... done