plot_acf

This function plots the autocorrelation for sex-specific or non-sex-specific posterior samples across multiple MCMC chains.
It defaults to key parameters like <code>asymptote_male_samples</code>, <code>asymptote_female_samples</code>, etc.

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_acf function

<dl><dt>results</dt>
<dd>A list of MCMC chain results.</dd>
<dt>n_chains</dt>
<dd>The number of chains.</dd>
<dt>max_lag</dt>
<dd>Integer, the maximum lag to be considered for the autocorrelation plot. Default is 50.</dd></dl>

Arguments

Plot Autocorrelation for Multiple MCMC Chains (Posterior Samples) — plot_acf

<dl>

<dt>results</dt>
<dd>A list of MCMC chain results.</dd>


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


<dt>max_lag</dt>
<dd>Integer, the maximum lag to be considered for the autocorrelation plot. Default is 50.</dd>

</dl>

plot_acf: Plot Autocorrelation for Multiple MCMC Chains (Posterior Samples)

Description

Usage

Value

Arguments