plot.AROC: Default AROC plotting

In AROC: Covariate-Adjusted Receiver Operating Characteristic Curve Inference

Default AROC plotting

Description

Takes a fitted AROC object produced by AROC.bnp(), AROC.bsp(), AROC.sp(), AROC.kernel(), pooledROC.BB() or pooledROC.emp() and plots the covariate-adjusted ROC curve (AROC) and associated area under the AROC (AAUC); or the pooled ROC curve and associated AUC.

Usage

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

Arguments

x	an object of class AROC as produced by AROC.bnp(), AROC.bsp(), AROC.sp(), AROC.kernel(), pooledROC.BB() or pooledROC.emp()
...	further arguments passed to or from other methods

See Also

AROC.bnp, AROC.bsp, AROC.sp, AROC.kernel, pooledROC.BB or pooledROC.emp.

Examples

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

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

m0 <- AROC.bnp(formula.healthy = l_marker1 ~ f(age, K = 0),
group = "status", tag.healthy = 0, data = newpsa, scale = TRUE,
p = seq(0,1,l=101), compute.lpml = TRUE, compute.WAIC = TRUE,
a = 2, b = 0.5, L = 10, nsim = 5000, nburn = 1000)

plot(m0)

AROC documentation built on March 18, 2022, 5:22 p.m.