RocFun function

ROC estimation function

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".

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.

Author(s)

Beyene K. Mehari and El Ghouch Anouar