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).
| Version: |
1.0.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
graphics, ks, mclust, stats |
| Published: |
2021-05-07 |
| Author: |
Tristan Mary-Huard
 [aut, cre] |
| Maintainer: |
Tristan Mary-Huard <tristan.mary-huard at agroparistech.fr> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
qch results |
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