confidencebands: Confidence bands

In ampel-leipzig/ameld: Data and Model of End-Stage Liver Disease used in the AMPEL Project

Confidence bands

Description

Calculate confidence bands for a single timepoint timeROC ROC based on threshold averaging as described in Fawcett 2004.

Usage

confidencebands(
  T,
  delta,
  marker,
  timepoint,
  cause = 1,
  ...,
  nboot = 200,
  conf.level = 0.95,
  verbose = interactive()
)

Arguments

T	numeric, time, see timeROC::timeROC().
delta	numeric, status, see timeROC::timeROC().
marker	numeric, marker, see timeROC::timeROC().
timepoint	numeric(1), timepoint to evaluate.
cause	numeric, cause, see timeROC::timeROC().
nboot	numeric(1), number of boostrap samples.
conf.level	numeric(1), confidence level.
verbose	logical, if TRUE a progressbar is shown.
...	further arguments passed to timeROC.

Value

a list with 2 elements (TP, FP), each one a matrix, with 3 rows (lower/median/upper) band, and length(threshold) columns.

References

Fawcett, T. (2004). ROC graphs: Notes and practical considerations for researchers. Machine learning, 31(1), 1-38.

ampel-leipzig/ameld documentation built on Aug. 23, 2024, 7:31 p.m.