RocFun: ROC estimation function

View source: R/cenROC.R

RocFunR Documentation

ROC estimation function

Description

ROC estimation function

Usage

RocFun(U, D, M, bw = "NR", method, ktype)

Arguments

U

The vector of grid points where the ROC curve is estimated.

D

The event indicator.

M

The numeric vector of marker values for which the time-dependent ROC curves is computed.

bw

The bandwidth parameter for smoothing the ROC function. The possible options are NR normal reference method; PI plug-in method and CV cross-validation method. The default is the NR normal reference method.

method

is the method of ROC curve estimation. The possible options are emp emperical method; untra smooth without boundary correction and tra is smooth ROC curve estimation with boundary correction.

ktype

A character string giving the type kernel to be used: "normal", "epanechnikov", "biweight", or "triweight".

Author(s)

Beyene K. Mehari and El Ghouch Anouar

References

Beyene, K. M. and El Ghouch A. (2019). Smoothed time-dependent ROC curves for right-censored survival data. https://dial.uclouvain.be/pr/boreal/object/boreal:219643.


Coxmos documentation built on April 4, 2025, 12:20 a.m.