qch: Query Composed Hypotheses

Provides functions for the joint analysis of K sets of p-values obtained for a same list of items. This joint analysis is performed by querying a composed hypothesis, i.e. an arbitrary complex combination of simple hypotheses, as described in Mary-Huard et al. (2021) <arXiv:2104.14601>. The null distribution corresponding to the composed hypothesis of interest is obtained by fitting non-parametric mixtures models (one for each of the simple hypothesis of the complex combination). Type I error rate control is achieved through Bayesian False Discovery Rate control. The 3 main functions of the package GetHinfo(), qch.fit() and qch.test() correspond to the 3 steps for querying a composed hypothesis (composed H0/H1 formulation, inferring the null distribution and testing the null hypothesis).

Package details

AuthorTristan Mary-Huard [aut, cre] (<https://orcid.org/0000-0002-3839-9067>)
MaintainerTristan Mary-Huard <tristan.mary-huard@agroparistech.fr>
Package repositoryView on CRAN
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qch documentation built on May 7, 2021, 5:06 p.m.