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 modelUsage
## 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
- nthe number of observations used in the fit.
- n.groupsthe maximum number of groups used in the fit
- n.eventsthe number of events observed in the fit
- etavariance of the subcluster effect $(Var(w_{ij}))$
- thetavariance of the cluster effect $(Var(v_{i}))$
- coefthe 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.
- pp-value