prior_update_gaussian_copula_ptr_parallel

Update of the prior estimate in EM algo using Gaussian copula, parallelized version

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.(2025) <doi: 10.1093/nargab/lqaf118>. 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

prior_update_gaussian_copula_ptr_parallel function

<dl><dt>Hconfig</dt>
<dd>list of vector of 0 and 1, corresponding to the configurations</dd>
<dt>fHconfig_sum</dt>
<dd>a double vector containing sum_c(w_c*psi_c), obtained by fHconfig_sum_update_ptr_parallel()</dd>
<dt>OldPrior</dt>
<dd>a double vector containing the prior w_c</dd>
<dt>Logf0Mat</dt>
<dd>a double matrix containing the log(f0(xi_q))</dd>
<dt>Logf1Mat</dt>
<dd>a double matrix containing the log(f1(xi_q))</dd>
<dt>zeta0</dt>
<dd>a double matrix containing the qnorm(F0(x_iq))</dd>
<dt>zeta1</dt>
<dd>a double matrix containing the qnorm(F1(x_iq))</dd>
<dt>R</dt>
<dd>a double matrix corresponding to the copula parameter</dd>
<dt>Rinv</dt>
<dd>a double matrix corresponding to the inverse copula parameter</dd>
<dt>threads_nb</dt>
<dd>an int the number of threads</dd></dl>

Arguments

Update of the prior estimate in EM algo using Gaussian copula, parallelized version — prior_update_gaussian_copula_ptr_parallel

<dl>

<dt>Hconfig</dt>
<dd>list of vector of 0 and 1, corresponding to the configurations</dd>


<dt>fHconfig_sum</dt>
<dd>a double vector containing sum_c(w_c*psi_c), obtained by fHconfig_sum_update_ptr_parallel()</dd>


<dt>OldPrior</dt>
<dd>a double vector containing the prior w_c</dd>


<dt>Logf0Mat</dt>
<dd>a double matrix containing the log(f0(xi_q))</dd>


<dt>Logf1Mat</dt>
<dd>a double matrix containing the log(f1(xi_q))</dd>


<dt>zeta0</dt>
<dd>a double matrix containing the qnorm(F0(x_iq))</dd>


<dt>zeta1</dt>
<dd>a double matrix containing the qnorm(F1(x_iq))</dd>


<dt>R</dt>
<dd>a double matrix corresponding to the copula parameter</dd>


<dt>Rinv</dt>
<dd>a double matrix corresponding to the inverse copula parameter</dd>


<dt>threads_nb</dt>
<dd>an int the number of threads</dd>

</dl>

prior_update_gaussian_copula_ptr_parallel: Update of the prior estimate in EM algo using Gaussian copula, parallelized version

Description

Usage

Value

Arguments