print.nestedPenal {frailtypack}

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 unused 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