computeROC

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

computeROC function

<dl><dt>yobs</dt>
<dd>vector of observed phenotype</dd>
<dt>ypred</dt>
<dd>vector of predicted phenotype</dd></dl>

Arguments

Author

Compute Receiver Operating Curve statistics — computeROC

<dl>

<dt>yobs</dt>
<dd>vector of observed phenotype</dd>


<dt>ypred</dt>
<dd>vector of predicted phenotype</dd>

</dl>

computeROC: Compute Receiver Operating Curve statistics

Description

Usage

Arguments

Author