print.additivePenal {frailtypack}R Documentation

Print a Short Summary of parameter estimates of an additive frailty model

Description

Prints a short summary of the parameter estimates of an additive frailty model or more generally of an 'additivePenal' object

Usage

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

Arguments

x the result of a call to the additivePenal 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
coef the coefficients of the linear predictor, which multiply the columns of the model matrix.
SE(H) the standard error deduced from the variance matrix of theta and of the coefficients.
SE(HIH) the standard error deduced from the robust estimation of the variance matrix of theta and of the coefficients.
z quantile of the \chi^2 mixture distribution
p p-value
Variance for the random intercept Variance for the random effect associated to the baseline risk functon
Variance for the random slope Variance for the random effect associated to the treatment effects across trials

See Also

summary.additivePenal, additivePenal, plot.additivePenal

Examples


#  /*** Additive frailty model with 1 covariate ***/  

## Not run: 

  data(dataAdditive) 
  modAdd<-additivePenal(Surv(t1,t2,event)~cluster(group)+var1+slope(var1),
                 correlation=TRUE,data=dataAdditive,n.knots=8,kappa1=862)

# It takes around 4 minutes to converge. 'var1' is boolean as a treatment variable. #

  print(modAdd)

## End(Not run)


[Package frailtypack version 2.2-12 Index]