apply_thinning

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_thinning function

<dl><dt>results</dt>
<dd>A list of MCMC chain results.</dd>
<dt>thinning_factor</dt>
<dd>The factor by which to thin the results (positive integer). The default thinning factor is 1, which implies no thinning.</dd></dl>

Arguments

Apply Thinning — apply_thinning

<dl>

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


<dt>thinning_factor</dt>
<dd>The factor by which to thin the results (positive integer). The default thinning factor is 1, which implies no thinning.</dd>

</dl>

apply_thinning: Apply Thinning

Description

Usage

Value

Arguments