logcondens: ROCx – R documentation

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ROCx

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

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)

`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.

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

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