plot.AROC: Default AROC plotting

In ROCnReg: ROC Curve Inference with and without Covariates

Default AROC plotting

Description

Takes a fitted AROC object produced by AROC.bnp(), AROC.sp(), or AROC.kernel() and plots the covariate-adjusted ROC curve (AROC) and associated area under the AROC (AAUC).

Usage

## S3 method for class 'AROC'
plot(x, main = NULL, ...)

Arguments

x	An object of class AROC as produced by AROC.bnp(), AROC.sp(), or AROC.kernel().
main	Character string with the overall title for the plot. If NULL, the default, the method used to estimate the AROC curve is depicted.
...	Further arguments passed to or from other methods.

See Also

AROC.bnp, AROC.sp or AROC.kernel

Examples

library(ROCnReg)
data(psa)
# Select the last measurement
newpsa <- psa[!duplicated(psa$id, fromLast = TRUE),]

# Log-transform the biomarker
newpsa$l_marker1 <- log(newpsa$marker1)

AROC_bnp <- AROC.bnp(formula.h = l_marker1 ~ f(age, K = 0),
group = "status", tag.h = 0, data = newpsa, standardise = TRUE,
p = seq(0,1,l=101), compute.lpml = TRUE, compute.WAIC = TRUE,
compute.DIC = TRUE)

plot(AROC_bnp)

ROCnReg documentation built on June 22, 2024, 9:18 a.m.