GetHconfig

Generate all possible combination of simple hypotheses \(H_0\)/\(H_1\).

Provides functions for the joint analysis of Q sets of
p-values obtained for the same list of items. This joint analysis is
performed by querying a composite hypothesis, i.e. an arbitrary
complex combination of simple hypotheses, as described in Mary-Huard
et al. (2021) <doi:10.1093/bioinformatics/btab592> and De Walsche et
al.(2023) <doi:10.1101/2024.03.17.585412>. In this approach, the
Q-uplet of p-values associated with each item is distributed as a
multivariate mixture, where each of the 2^Q components corresponds to
a specific combination of simple hypotheses. The dependence between
the p-value series is considered using a Gaussian copula function. A
p-value for the composite hypothesis test is derived from the
posterior probabilities.

Tristan Mary-Huard

Query Composite Hypotheses

Annaig De Walsche

Franck Gauthier

GetHconfig function

<dl><dt>Q</dt>
<dd>The number of test series to be combined.</dd>
<dt>Signed</dt>
<dd>Should the sign of the effect be taken into account? (optional, default is <code>FALSE</code>).</dd></dl>

Arguments

Generate the \(H_0\)/\(H_1\) configurations. — GetHconfig

<dl>

<dt>Q</dt>
<dd>The number of test series to be combined.</dd>


<dt>Signed</dt>
<dd>Should the sign of the effect be taken into account? (optional, default is <code>FALSE</code>).</dd>

</dl>

GetHconfig: Generate the \(H_0\)/\(H_1\) configurations.

Description

Usage

Value

Arguments

Examples