frailtypack (version 2.4.1)

print.additivePenal: 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, 6), ...)

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

additivePenal

Examples

# Additive frailty model with 1 covariate

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

# 'var1' is boolean as a treatment variable.

print(modAdd)