cenROC (version 1.2.0)

NR: The normal reference bandwidth selection for weighted data

Description

This function computes the data-driven bandwidth for smoothing the ROC (or distribution) function using the NR method of Beyene and El Ghouch (2020). This is an extension of the classical (unweighted) normal reference bandwith selection method to the case of weighted data.

Usage

NR(X, wt, ktype = "normal")

Arguments

X

The numeric data vector.

wt

The non-negative weight vector.

ktype

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

Value

Returns the computed value for the bandwith parameter.

Details

See Beyene and El Ghouch (2020) for details.

References

Beyene, K. M. and El Ghouch A. (2020). Smoothed time-dependent ROC curves for right-censored survival data. submitted.

Examples

# NOT RUN {
library(cenROC)

X <- rnorm(100) # random data vector
wt <- runif(100) # weight vector

## Normal reference bandwidth selection
NR(X = X, wt = wt)$bw

# }