auroc.ep: 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 an edge probability matrix.

Usage

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

Arguments

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

Value

The area under the ROC curve.

See Also

auroc, auroc.ep.list

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