DiscreteQvalue: Improved q-Values for Discrete Uniform and Homogeneous Tests

We consider a multiple testing procedure used in many modern applications which is the q-value method proposed by Storey and Tibshirani (2003) <doi:10.1073/pnas.1530509100>. The q-value method is based on the false discovery rate (FDR), hence versions of the q-value method can be defined depending on which estimator of the proportion of true null hypotheses, pi_0, is plugged in the FDR estimator. We implement the q-value method based on two classical pi_0 estimators, and furthermore, we propose and implement three versions of the q-value method for homogeneous discrete uniform P-values based on pi_0 estimators which take into account the discrete distribution of the P-values.

Version: 1.0
Suggests: coin, exactRankTests
Published: 2019-10-21
Author: Marta Cousido Rocha [aut, cre], José Carlos Soage González [ctr], Jacobo de Uña Álvarez [aut, ths], Sebastian Döhler [aut]
Maintainer: Marta Cousido Rocha <martacousido at uvigo.es>
License: GPL-2
NeedsCompilation: no
CRAN checks: DiscreteQvalue results

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Reference manual: DiscreteQvalue.pdf
Package source: DiscreteQvalue_1.0.tar.gz
Windows binaries: r-devel: DiscreteQvalue_1.0.zip, r-devel-gcc8: DiscreteQvalue_1.0.zip, r-release: DiscreteQvalue_1.0.zip, r-oldrel: DiscreteQvalue_1.0.zip
OS X binaries: r-release: DiscreteQvalue_1.0.tgz, r-oldrel: DiscreteQvalue_1.0.tgz

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