Last data update: 2014.03.03

qvalue

Package: qvalue
Type: Package
Title: Q-value estimation for false discovery rate control
Version: 2.4.2
Date: 2015-03-24
Author: John D. Storey with contributions from Andrew J. Bass, Alan Dabney and
David Robinson
Maintainer: John D. Storey <jstorey@princeton.edu>, Andrew J. Bass
<ajbass@princeton.edu>
biocViews: MultipleComparisons
Description: This package takes a list of p-values resulting from the
simultaneous testing of many hypotheses and estimates their
q-values and local FDR values. The q-value of a test measures
the proportion of false positives incurred (called the false
discovery rate) when that particular test is called significant.
The local FDR measures the posterior probability the null
hypothesis is true given the test's p-value. Various plots
are automatically generated, allowing one to make sensible
significance cut-offs. Several mathematical results have
recently been shown on the conservative accuracy of the
estimated q-values from this software. The software can be
applied to problems in genomics, brain imaging, astrophysics,
and data mining.
VignetteBuilder: knitr
Imports: splines, ggplot2, grid, reshape2
Suggests: knitr
Depends: R (>= 2.10)
URL: http://github.com/jdstorey/qvalue
License: LGPL
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-16 01:28:59 UTC; biocbuild

● BiocViews: MultipleComparisons
11 images, 9 functions, 0 datasets
Reverse Depends: 14

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'qvalue' ...
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'qvalue'
    finding HTML links ... done
    empPvals                                html  
    hedenfalk                               html  
    hist.qvalue                             html  
    lfdr                                    html  
    pi0est                                  html  
    plot.qvalue                             html  
    qvalue                                  html  
    summary.qvalue                          html  
    write.qvalue                            html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (qvalue)
Making 'packages.html' ... done