ROC-methods: Compute ROC curve from netprioR model and true labels

In cbg-ethz/netprioR: A model for network-based prioritisation of genes

Description

Compute ROC curve from netprioR model and true labels

Usage

ROC(object, ...)

## S4 method for signature 'netprioR'
ROC(object, true.labels, plot = FALSE, ...)

Arguments

object	A netprioR object
...	Additional arguments
true.labels	True full set of underlying labels
plot	Flag whether to plot the AUC curve

Value

ROC curve with AUC

Author(s)

Fabian Schmich

Examples

data(simulation)
ROC(simulation$model, true.labels = simulation$labels.true)

cbg-ethz/netprioR documentation built on May 13, 2019, 2:02 p.m.