auroc.ep.list: Compute the area under an ROC curve.

In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.

Description

Compute the area under an ROC curve for a list of edge probability matrices.

Usage

  ## S3 method for class 'ep.list'
 auroc(x, true, thresholds, labels,
    verbose, ...)

Arguments

x	A list of matrices of class ep of edge probabilities
true	A bn. The true graph.
thresholds	A numeric vector of thresholds.
labels	A vector of labels
verbose	A logical. Should progress should be displayed?
...	Further arguments (unused)

Value

A vector of areas under ROC.

See Also

For individual edge probability matrices see auroc.ep.

rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.