print.CompetingRiskFrailtySurvfit {CompetingRiskFrailty}R Documentation

Prints an Object of class 'CompetingRiskFrailtySurvfit'

Description

Prints estimates of fixed parameters of smoothing varying coefficients, penalty values for their random parts as well as mixture weights of frailty mixture distribution, their degrees of feedom and optimal AIC- and marginal log likelihood value of the model.

Usage

## S3 method for class 'CompetingRiskFrailtySurvfit':
print(x,...)

Arguments

x object of class 'CompetingRiskFrailtySurvfit'.
... additional parameters for print.

Author(s)

Pavel Khomski <pkhomski@wiwi.uni-bielefeld.de>

References

Kauermann G. and Khomski P. (2006). Full time or part time reemployment: a competing risk model with frailties and smooth effects using a penalty based approach, to appear.

See Also

plot.CompetingRiskFrailtySurvfit

Examples

#print.CompetingRiskFrailtySurvfit(my.Survfit)

[Package CompetingRiskFrailty version 2.0 Index]