summary.nestedPenal {frailtypack}R Documentation

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%.
d the desired number of digits after the decimal point. Default of 6 digits is used.
len the total field width. Default is 6.
lab label of printed results.
... other unusued arguments.

Value

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

See Also

frailtyPenal for Nested frailty models, plot.nestedPenal, print.nestedPenal

Examples


## Not run: 

  data(dataNested)
  modNested<-frailtyPenal(Surv(t1,t2,event)~cluster(group)+subcluster(subgroup)+ 
  cov1+cov2,Frailty=TRUE,data=dataNested,n.knots=8,kappa1=50000,kappa2=50000)

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

  summary(modNested)

## End(Not run)


[Package frailtypack version 2.2-12 Index]