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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
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providing 
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