fit_uniACE

Use OpenMx to quickly fit a univariate ACE model

A few functions aim to provide a statistic tool for three purposes. First, simulate kin pairs data based on the assumption that every trait is affected by genetic effects (A), common environmental effects (C) and unique environmental effects (E).Second, use kin pairs data to fit an ACE model and get model fit output.Third, calculate power of A estimate given a specific condition. For the mechanisms of power calculation, we suggest to check Visscher(2004)<doi:10.1375/twin.7.5.505>.

Xuanyu Lyu

ACEsimFit

ACE Kin Pair Data Simulations and Model Fitting

S.Mason Garrison

fit_uniACE function

<dl><dt>data_1</dt>
<dd>A n by 2 <code>data.frame</code> consisting of the group1 kin pairs</dd>
<dt>data_2</dt>
<dd>A n by 2 <code>data.frame</code> consisting of the group2 kin pairs</dd>
<dt>GroupRel</dt>
<dd>A numeric vector specifying two genetic relatedness values of two groups of kin pairs</dd>
<dt>GroupR_c</dt>
<dd>A numeric vector specifying two common environment correlation coefficients of two groups of kin pairs</dd>
<dt>lbound</dt>
<dd>A logical value indicating if a lower boundary of .0001 will be imposed to the estimated A, C and E components</dd></dl>

Arguments

fit_uniACE — fit_uniACE

<dl>

<dt>data_1</dt>
<dd>A n by 2 <code>data.frame</code> consisting of the group1 kin pairs</dd>


<dt>data_2</dt>
<dd>A n by 2 <code>data.frame</code> consisting of the group2 kin pairs</dd>


<dt>GroupRel</dt>
<dd>A numeric vector specifying two genetic relatedness values of two groups of kin pairs</dd>


<dt>GroupR_c</dt>
<dd>A numeric vector specifying two common environment correlation coefficients of two groups of kin pairs</dd>


<dt>lbound</dt>
<dd>A logical value indicating if a lower boundary of .0001 will be imposed to the estimated A, C and E components</dd>

</dl>

fit_uniACE: fit_uniACE

Description

Usage

Value

Arguments