summary.mixcure: Summary method for mixture cure models

In mixcure: Mixture Cure Models

Description

Summary function will calculate bootstrap variances of the estimates in a mixcure fit if it detects that the variances do not exist. Then it will print estimates, their standard errors, z-scores and p-values from normal distribution

Usage

## S3 method for class 'mixcure'
summary(object, R = 100, index = 1:2, ...)

Arguments

object	A mixcure object
R	the number of boot samples required to calculate bootstrap variances.
index	An argument used in censboot function in boot package to specify the columns in data that store survival times and censoring indicators
...	other parameters to be passed into print function

Details

censboot in boot package is called to calculate bootstrap variances

Value

A modified mixcure object with extra components:

varboot	a censboot object
stderr	standard errors of parameters in mixcure
R	the number of bootstrap samples used

Author(s)

Yingwei Peng

See Also

mixcure

Examples

data(leukaemia)
# To reduce running time of this example, R is set to 2.
summary(mixcure(Surv(time, cens) ~ transplant, ~ transplant,
data = leukaemia, savedata = TRUE), R = 2)

mixcure documentation built on Nov. 24, 2020, 5:07 p.m.