Calculate confidence bands for a single timepoint timeROC ROC based on threshold averaging as described in Fawcett 2004.
confidencebands(
T,
delta,
marker,
timepoint,
cause = 1,
...,
nboot = 200,
conf.level = 0.95,
verbose = interactive()
)
numeric
, time, see timeROC::timeROC()
.
numeric
, status, see timeROC::timeROC()
.
numeric
, marker, see timeROC::timeROC()
.
numeric(1)
, timepoint to evaluate.
numeric
, cause, see timeROC::timeROC()
.
numeric(1)
, number of boostrap samples.
numeric(1)
, confidence level.
logical
, if TRUE
a progressbar is shown.
further arguments passed to timeROC
.
a list
with 2 elements (TP, FP), each one a matrix
,
with 3 rows (lower/median/upper) band, and length(threshold)
columns.
Fawcett, T. (2004). ROC graphs: Notes and practical considerations for researchers. Machine learning, 31(1), 1-38.