ROCx: Compute ROC curve at a given x based on log-concave estimates...

In logcondens: Estimate a Log-Concave Probability Density from Iid Observations

Compute ROC curve at a given x based on log-concave estimates for the constituent distributions

Description

Computes the value of the ROC curve at x (which may be a vector) based on log-concave density estimates of the constituent distributions.

Usage

ROCx(x, res0, res1, smooth = FALSE)

Arguments

x	Vector of numbers in [0, 1] where the ROC curve should be computed at.
res0	dlc object as a result of a call to logConDens for the data of the controls.
res1	dlc object as a result of a call to logConDens for the data of the cases.
smooth	Logical. If TRUE kernel smoothed log-concave estimate is used.

Value

A real number or a vector of dimension the same as x, the value of the ROC curve at x.

Author(s)

Kaspar Rufibach, [e-mail],
http://www.kasparrufibach.ch

References

Rufibach, K. (2012). A smooth ROC curve estimator based on log-concave density estimates. Int. J. Biostat., 8(1), 1–29.

See Also

Used for the computation of AUC in logConROC.

logcondens documentation built on Aug. 22, 2023, 5:06 p.m.