Author: Alessandro Barbiero <alessandro.barbiero@unimi.it>, Riccardo Inchingolo <dott.inchingolo_r@libero.it>
Description: Probability mass function, distribution function, quantile function, random generation and estimation for the skew discrete Laplace distributions.

Author: Alessandro Barbiero <alessandro.barbiero@unimi.it>, Riccardo Inchingolo <riccardo.arner@libero.it>

Title: Improved q-Values for Discrete Uniform and Homogeneous Tests
person("Marta", "Cousido Rocha", email = "martacousido@uvigo.es", role = c("aut", "cre")),
person("José Carlos", "Soage González", email = "jsoage@uvigo.es", role = "ctr"),
person("Jacobo", "de Uña Álvarez", email = "jacobo@uvigo.es", role = c("aut", "ths")),
person("Sebastian", "Döhler", role = "aut"))
Maintainer: Marta Cousido Rocha <martacousido@uvigo.es>
Description: 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.

Description: 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.