summary.nestedPenal: summary of regression coefficient estimates of a nested...

In frailtypack: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints

summary of regression coefficient estimates of a nested frailty model

Description

This function returns hazard rations (HR) and its confidence intervals for each regression coefficient.

Usage

## S3 method for class 'nestedPenal'
summary(object, level = 0.95, len = 6, d = 2,
lab="hr", ...)

Arguments

object	output from a call to nestedPenal.
level	significance level of confidence interval. Default is 95%.
len	the total field width. Default is 6.
d	the desired number of digits after the decimal point. Default of 6 digits is used.
lab	label of printed results.
...	other unused arguments.

Value

Prints HR and its confidence intervals for each regression coefficient. Confidence level is allowed (level argument).

See Also

frailtyPenal

Examples

## Not run: 

data(dataNested)

modNested <- frailtyPenal(Surv(t1,t2,event)~cluster(group)+
subcluster(subgroup)+cov1+cov2,data=dataNested,
n.knots=8,kappa=c(50000,50000),hazard="Splines")

#- It takes 90 minutes to converge (depends on processor)

summary(modNested)


## End(Not run)

frailtypack documentation built on Oct. 20, 2024, 1:08 a.m.