Package: DiscreteQvalue 1.1

Marta Cousido Rocha

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.

Authors:Marta Cousido Rocha [aut, cre], José Carlos Soage González [ctr], Jacobo de Uña Álvarez [aut, ths], Sebastian Döhler [aut]

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DiscreteQvalue/json (API)

# Install 'DiscreteQvalue' in R:
install.packages('DiscreteQvalue', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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Last updated 4 years agofrom:ae3b7646b4. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-linuxOKSep 01 2024

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