print.frailtyPenal {frailtypack}R Documentation

Print a Short Summary of parameter estimates of a shared gamma frailty model

Description

Prints a short summary of parameter estimates of a 'frailtyPenal' object

Usage

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

Arguments

x the result of a call to the frailtyPenal function
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
theta variance of frailty parameter
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.frailtyPenal, frailtyPenal for Shared frailty models, plot.frailtyPenal

Examples


data(readmission)

# /*** Shared frailty model ***/

modSha<-frailtyPenal(Surv(time,event)~as.factor(dukes)+cluster(id),
             n.knots=10,kappa1=10000,data=readmission,Frailty=TRUE)

print(modSha,type="surv",conf=FALSE)

# /*** Cox proportional hazard model using Penalized likelihood ***/

modCox<-frailtyPenal(Surv(time,event)~as.factor(dukes)+cluster(id),
             n.knots=10,kappa1=10000,data=readmission,Frailty=FALSE)
print(modCox)


[Package frailtypack version 2.2-12 Index]