Computes the value of the ROC curve at \(x\) (which may be a vector) based on log-concave density estimates of the constituent distributions.
ROCx(x, res0, res1, smooth = FALSE)
A real number or a vector of dimension the same as \(x\), the value of the ROC curve at x
.
Vector of numbers in \([0, 1]\) where the ROC curve should be computed at.
dlc
object as a result of a call to logConDens
for the data of the controls.
dlc
object as a result of a call to logConDens
for the data of the cases.
Logical. If TRUE
kernel smoothed log-concave estimate is used.
Kaspar Rufibach, kaspar.rufibach@gmail.com,
http://www.kasparrufibach.ch
Rufibach, K. (2012). A smooth ROC curve estimator based on log-concave density estimates. Int. J. Biostat., 8(1), 1--29.
Used for the computation of AUC in logConROC
.