imputeUnaffectedAges

This function imputes ages for unaffected individuals in a dataset based on their sex
and whether they were tested, using empirical age distributions.

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

imputeUnaffectedAges function

<dl><dt>data</dt>
<dd>A data frame containing the individual data, including columns for age, sex, and geno.</dd>
<dt>na_indices</dt>
<dd>A vector of indices indicating the rows in the data where ages need to be imputed.</dd>
<dt>empirical_density</dt>
<dd>A list of density objects containing the empirical density of ages for different groups.</dd>
<dt>max_age</dt>
<dd>Integer, the maximum age considered in the analysis.</dd></dl>

Arguments

Impute Ages for Unaffected Individuals — imputeUnaffectedAges

<dl>

<dt>data</dt>
<dd>A data frame containing the individual data, including columns for age, sex, and geno.</dd>


<dt>na_indices</dt>
<dd>A vector of indices indicating the rows in the data where ages need to be imputed.</dd>


<dt>empirical_density</dt>
<dd>A list of density objects containing the empirical density of ages for different groups.</dd>


<dt>max_age</dt>
<dd>Integer, the maximum age considered in the analysis.</dd>

</dl>

imputeUnaffectedAges: Impute Ages for Unaffected Individuals

Description

Usage

Value

Arguments