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 | 
| Reference manual: | DiscreteQvalue.pdf | 
| 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 | 
| macOS binaries: | r-release: DiscreteQvalue_1.1.tgz, r-oldrel: DiscreteQvalue_1.1.tgz | 
| Old sources: | DiscreteQvalue archive | 
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