frailtypack (version 2.4.1)

print.nestedPenal: 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, 6), ...)

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

frailtyPenal

Examples

# Nested frailty model

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,hazard="Splines")

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

print(modNested)