plot_penetrance

This function plots the Weibull distribution with credible intervals for the given MCMC results.
It allows for visualization of penetrance curves based on the posterior samples.

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_penetrance function

<dl><dt>combined_chains</dt>
<dd>List of combined MCMC chain results containing posterior samples
for penetrance parameters.</dd>
<dt>prob</dt>
<dd>Numeric, probability level for confidence intervals (between 0 and 1).</dd>
<dt>max_age</dt>
<dd>Integer, maximum age to plot.</dd>
<dt>sex</dt>
<dd>Character, one of "Male", "Female", or "NA" for non-sex-specific. Default is "NA".</dd></dl>

Arguments

Plot Weibull Distribution with Credible Intervals — plot_penetrance

<dl>

<dt>combined_chains</dt>
<dd>List of combined MCMC chain results containing posterior samples
for penetrance parameters.</dd>


<dt>prob</dt>
<dd>Numeric, probability level for confidence intervals (between 0 and 1).</dd>


<dt>max_age</dt>
<dd>Integer, maximum age to plot.</dd>


<dt>sex</dt>
<dd>Character, one of "Male", "Female", or "NA" for non-sex-specific. Default is "NA".</dd>

</dl>

plot_penetrance: Plot Weibull Distribution with Credible Intervals

Description

Usage

Value

Arguments