R.MLE.check

Check the Gaussian copula correlation matrix Maximum Likelihood estimator

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

R.MLE.check function

<dl><dt>R</dt>
<dd>Estimate of the correlation matrix.</dd></dl>

Arguments

Check the Gaussian copula correlation matrix Maximum Likelihood estimator — R.MLE.check

<dl>

<dt>R</dt>
<dd>Estimate of the correlation matrix.</dd>

</dl>

R.MLE.check: Check the Gaussian copula correlation matrix Maximum Likelihood estimator

Description

Usage

Value

Arguments