AROC (version 1.0-4)

summary.AROC: Summary method for AROC objects

Description

Default summary method for objects fitted with AROC.bnp(), AROC.bsp(), AROC.sp(), AROC.kernel(), pooledROC.BB() or pooledROC.emp() functions.

Usage

# S3 method for AROC
summary(object, ...)

Arguments

object

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. Not yet implemented.

Details

A short summary is printed including the area under the covariate-adjusted ROC curve (AAUC) or the area under the pooled ROC curve (AUC), and if required, the partial area under the covariate-adjusted ROC curve (pAAUC). For the Bayesian methods, and if required, the function also provides the log pseudo marginal likelihood (LPML) and/or widely applicable information criterion (WAIC).

See Also

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

Examples

# NOT RUN {
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)
# }
# NOT RUN {
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)

summary(m0)
# }