apply_burn_in

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

apply_burn_in function

<dl><dt>results</dt>
<dd>A list of MCMC chain results.</dd>
<dt>burn_in</dt>
<dd>The fraction roportion of results to discard as burn-in (0 to 1). The default is no burn-in, burn_in=0.</dd></dl>

Arguments

Apply Burn-In — apply_burn_in

<dl>

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


<dt>burn_in</dt>
<dd>The fraction roportion of results to discard as burn-in (0 to 1). The default is no burn-in, burn_in=0.</dd>

</dl>

apply_burn_in: Apply Burn-In

Description

Usage

Value

Arguments