print.nestedPenal {frailtypack}R Documentation

Print a Short Summary of parameter estimates of a nested frailty model

Description

Prints a short summary of parameter estimates of a nested frailty model

Usage

## S3 method for class 'nestedPenal':
print(x, digits = max(options()$digits - 4, 3), ...)

Arguments

x the result of a call to the frailtyPenal function for nested frailty models
digits number of digits to print
... other unusued arguments

Value

n the number of observations used in the fit.
n.groups the maximum number of groups used in the fit
n.events the number of events observed in the fit
eta variance of the subcluster effect (Var(w_{ij})
theta variance of the cluster effect (Var(v_{i})
coef the coefficients of the linear predictor, which multiply the columns of the model matrix.
SE(H) the standard error of the estimates deduced from the variance matrix of theta and of the coefficients.
SE(HIH) the standard error of the estimates deduced from the robust estimation of the variance matrix of theta and of the coefficients.
p p-value

See Also

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

Examples


# /*** Nested frailty model ***/

## 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 around 24 minutes to converge (depends on the processor) #

 print(modNested)

## End(Not run)


[Package frailtypack version 2.2-12 Index]