plot_loglikelihood

This function plots the log-likelihood values across iterations for multiple MCMC chains.
It helps visualize the convergence of the chains based on the log-likelihood values.

Implements statistical methods for estimating disease penetrance in
family-based studies. Penetrance refers to the probability of disease§
manifestation in individuals carrying specific genetic variants. The package
provides tools for age-specific penetrance estimation, handling missing data,
and accounting for ascertainment bias in family studies.
Cite as: Kubista, N., Braun, D. & Parmigiani, G. (2024) <doi:10.48550/arXiv.2411.18816>.

Nicolas Kubista

penetrance

Methods for Penetrance Estimation in Family-Based Studies

BayesMendel Lab

plot_loglikelihood function

<dl><dt>results</dt>
<dd>A list of MCMC chain results, each containing the <code>loglikelihood_current</code> values.</dd>
<dt>n_chains</dt>
<dd>The number of chains.</dd></dl>

Arguments

Plot Log-Likelihood for Multiple MCMC Chains — plot_loglikelihood

<dl>

<dt>results</dt>
<dd>A list of MCMC chain results, each containing the <code>loglikelihood_current</code> values.</dd>


<dt>n_chains</dt>
<dd>The number of chains.</dd>

</dl>

plot_loglikelihood: Plot Log-Likelihood for Multiple MCMC Chains

Description

Usage

Value

Arguments