predict_auc_st

Expected AUC for prediction of a binary trait

internal

Provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and 5) single or multi-marker association analyses.
Rohde et al. (2019) <doi:10.1101/503631>.

Peter Soerensen

Statistical Tools for Quantitative Genetic Analyses

Palle Duun Rohde

Izel Fourie Soerensen

predict_auc_st function

<dl><dt>h2x</dt>
<dd>is the heritability of the target trait</dd>
<dt>Nx</dt>
<dd>is the number of samples for the target trait</dd>
<dt>Kx</dt>
<dd>is the prevalence of the target trait</dd>
<dt>Me</dt>
<dd>is the number of independent chromosome segments</dd>
<dt>M</dt>
<dd>is the number of markers</dd></dl>

Arguments

Expected AUC for prediction of a binary trait — predict_auc_st

<dl>

<dt>h2x</dt>
<dd>is the heritability of the target trait</dd>


<dt>Nx</dt>
<dd>is the number of samples for the target trait</dd>


<dt>Kx</dt>
<dd>is the prevalence of the target trait</dd>


<dt>Me</dt>
<dd>is the number of independent chromosome segments</dd>


<dt>M</dt>
<dd>is the number of markers</dd>

</dl>

predict_auc_st: Expected AUC for prediction of a binary trait

Description

Usage

Arguments