plotROC

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

plotROC function

<dl><dt>roc.data</dt>
<dd>data frame with ROC information (from computeROC)</dd>
<dt>cols</dt>
<dd>which columns should be used in the ROC plot</dd></dl>

Arguments

Author

Plot Receiver Operating Curves — plotROC

<dl>

<dt>roc.data</dt>
<dd>data frame with ROC information (from computeROC)</dd>


<dt>cols</dt>
<dd>which columns should be used in the ROC plot</dd>

</dl>

plotROC: Plot Receiver Operating Curves

Description

Usage

Arguments

Author