ibs.deepAFT: Calculate integrated Brier Score for deepAFT

In dnn: Deep Neural Network Tools for Probability and Statistic Models

Calculate integrated Brier Score for deepAFT

Description

The function ibs is used to calculate integrated Brier Score for deepAFT.

Usage

ibs(object, ...)
### To calculate Brier score for the original fitted data
## Default S3 method:
ibs(object, ...)
### To calculate Brier score for new data with new outcomes
## S3 method for class 'deepAFT'
ibs(object, newdata=NULL, newy = NULL, ...)

Arguments

object	the results of a deepAFT fit.
newdata	optional argument, if no null, new data and new y will be used for calculation.
newy	optional argument, used together with new data.
...	other unused arguments.

Details

ibs is called to calculate integrate Brier score for the deepAFT model deepAFT.

Value

A list contains the integrate Brier score and the Brier score is returned:

ibs	Integerate Brier score
bs	Brier score

Author(s)

Bingshu E. Chen

See Also

deepAFT

dnn documentation built on May 29, 2024, 1:48 a.m.