frailtypack (version 2.2-9.5)

print.jointPenal: Print a Short Summary of parameter estimates of a joint frailty model

Description

Prints a short summary of parameter estimates of a joint frailty model, or more generally an object of class 'frailtyPenal' for joint frailty models.

Usage

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

Arguments

x

the result of a call to the jointPenal function

digits

number of digits to print

...

other unusued arguments

Value

• Print, separately for each type of event (recurrent and terminal), the parameter estimates of the survival or hazard functions.
• 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 the common frailty term
• alpha
  the coefficient associated with the frailty parameter terminal event hazard function
• coef
  the coefficients of the linear predictor, which multiply the columns of the model matrix.
• varH
  the variance matrix of theta and of the coefficients.
• varHIH
  the robust estimation of the variance matrix of theta and of the coefficients.
• SE(H)
  the standard error of the estimaes deduced from the variance matrix of theta and of the coefficients.
• SE(HIH)
  the standard error of the estimaes deduced from the robust estimation of the variance matrix of theta and of the coefficients.
• p
  p-value

See Also

summary.jointPenal, frailtyPenal for Joint frailty models,plot.jointPenal

Examples

# /*** Joint frailty model ***/
 

data(dataJoint)

  modJoint<-frailtyPenal(Surv(time.entry,time.end,status)~cluster(id)+var1+var2
                         +terminal(status.terminal),
                         formula.terminalEvent=~var1,
                         data=dataJoint,n.knots=7, Frailty=TRUE,
                         kappa1=1, kappa2=1, joint=TRUE, recurrentAG=TRUE)
    
 # It takes around 1 minute to converge.#

  print(modJoint)