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, p0, is plugged in the FDR estimator. We implement the q-value method based on two classical pi0 estimators, and furthermore, we propose and implement three versions of the q-value method for homogeneous discrete uniform P-values based on pi0 estimators which take into account the discrete distribution of the P-values.

Version:	1.1
Suggests:	coin, exactRankTests
Published:	2020-04-01
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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DiscreteQvalue.pdf

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Package source:	DiscreteQvalue_1.1.tar.gz
Windows binaries:	r-devel: DiscreteQvalue_1.1.zip, r-release: DiscreteQvalue_1.1.zip, r-oldrel: DiscreteQvalue_1.1.zip
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Old sources:	DiscreteQvalue archive

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