predict_auc_st

Computes the expected Area Under the Curve (AUC) for predicting a binary trait.

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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>Heritability of the target trait.</dd>
<dt>Nx</dt>
<dd>Number of samples for the target trait.</dd>
<dt>Kx</dt>
<dd>Prevalence of the target trait.</dd>
<dt>Px</dt>
<dd>Case-control proportion of the target trait.</dd>
<dt>Me</dt>
<dd>Number of independent chromosome segments.</dd>
<dt>M</dt>
<dd>Number of markers.</dd></dl>

Arguments

Expected AUC for prediction of a binary trait — predict_auc_st

<dl>

<dt>h2x</dt>
<dd>Heritability of the target trait.</dd>


<dt>Nx</dt>
<dd>Number of samples for the target trait.</dd>


<dt>Kx</dt>
<dd>Prevalence of the target trait.</dd>


<dt>Px</dt>
<dd>Case-control proportion of the target trait.</dd>


<dt>Me</dt>
<dd>Number of independent chromosome segments.</dd>


<dt>M</dt>
<dd>Number of markers.</dd>

</dl>

predict_auc_st: Expected AUC for prediction of a binary trait

Description

Usage

Value

Arguments