summary.AROC {AROC} | R Documentation |
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 class 'AROC'
summary(object, ...)
Arguments
object |
an object of class |
... |
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
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)
summary(m0)