Last data update: 2014.03.03

clippda

Package: clippda
Title: A package for the clinical proteomic profiling data analysis
Version: 1.22.0
Date: 2011/09/16
Author: Stephen Nyangoma
Description: Methods for the nalysis of data from clinical proteomic
profiling studies. The focus is on the studies of human
subjects, which are often observational case-control by design
and have technical replicates. A method for sample size
determination for planning these studies is proposed. It
incorporates routines for adjusting for the expected
heterogeneities and imbalances in the data and the
within-sample replicate correlations.
Depends: R (>= 2.13.1), limma, statmod, rgl, lattice, scatterplot3d,
graphics, grDevices, stats, utils, Biobase, tools, methods
Maintainer: Stephen Nyangoma <s.o.nyangoma@bham.ac.uk>
License: GPL (>=2)
Collate: checkNo.replicates.R sampleClusteredData.R
sampleSize3DscatterPlots.R sampleSizeContourPlots.R
mostSimilarTwo.R negativeIntensitiesCorrection.R
phenoDataFrame.R preProcRepeatedPeakData.R spectrumFilter.R f.R
ztwo.R ZvaluescasesVcontrolsPlots.R ZvaluesfrommultinomPlots.R
betweensampleVariance.Generic.R fisherInformation.Generic.R
proteomicsExprsData.Generic.R proteomicspData.Generic.R
replicateCorrelations.Generic.R sampleSizeGeneric.R
sampleSizeParameters.Generic.R
sample_technicalVaraiance.Generic.R
aclinicalProteomicData.class.R aclinicalProteomicData.methods.R
betweensampleVariance.Method.R fisherInformation.Method.R
proteomicsExprsData.Method.R proteomicspData.Method.R
replicateCorrelations.Method.R sampleSizeMethod.R
sampleSizeParameters.Method.R sample_technicalVariance.Method.R
LazyLoad: yes
ZipData: yes
URL: http://www.cancerstudies.bham.ac.uk/crctu/CLIPPDA.shtml
Packaged: 2016-05-04 03:18:38 UTC; biocbuild
biocViews: Proteomics, OneChannel, Preprocessing,
DifferentialExpression, MultipleComparison
NeedsCompilation: no

● BiocViews: DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics
1 images, 36 functions, 1 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'clippda' ...
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'clippda'
    finding HTML links ... done
    ZvaluescasesVcontrolsPlots              html  
    ZvaluesfrommultinomPlots                html  
    aclinicalProteomicsData-class           html  
    aclinicalProteomicsData-methods         html  
    betweensampleVariance-methods           html  
    betweensampleVariance                   html  
    checkNo.replicates                      html  
    clippda-package                         html  
    f                                       html  
    fisherInformation-methods               html  
    fisherInformation                       html  
    liverRawData                            html  
    liver_pheno                             html  
    liverdata                               html  
    mostSimilarTwo                          html  
    negativeIntensitiesCorrection           html  
    phenoDataFrame                          html  
    pheno_urine                             html  
    preProcRepeatedPeakData                 html  
    proteomicsExprsData-methods             html  
    proteomicsExprsData                     html  
    proteomicspData-methods                 html  
    proteomicspData                         html  
    replicateCorrelations-methods           html  
    replicateCorrelations                   html  
    sampleClusteredData                     html  
    sampleSize-methods                      html  
    sampleSize                              html  
    sampleSize3DscatterPlots                html  
    sampleSizeContourPlots                  html  
    sampleSizeParameters-methods            html  
    sampleSizeParameters                    html  
    sample_technicalVariance-methods        html  
    sample_technicalVariance                html  
    show-methods                            html  
    spectrumFilter                          html  
    ztwo                                    html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (clippda)
Making 'packages.html' ... done