survBayes-package {survBayes}R Documentation

Fits a proportional hazards model to time to event data by a Bayesian approach

Description

Fits a proportional hazards model to time to event data by a Bayesian approach. Right and interval censored data and a lognormal or gamma frailty term can be fitted.

Details

Package: survBayes
Type: Package
Version: 0.2.1
Date: 2007-02-19
License: GPL Version 2 or newer

Fits a proportional hazards model to time to event data by a Bayesian approach. The time axis is split into max.grid.size intervals and the log baseline hazard is assumed to be cubic spline penalized by an auto regressive process of order one. Right and interval censored data and a lognormal or gamma frailty term can be fitted. In case of interval censored data the assumed observation times are augmented by a piecewise exponential distribution conditioned on the respective interval.

Author(s)

Volkmar Henschel, Christiane Heiss, Ulrich Mansmann

Maintainer: Volkmar Henschel <henschel@ibe.med.uni-muenchen.de>

See Also

coxph, Surv

Examples

data(aneurism.data)
control<-survBayes.control(delta.taylor = 0.3, sigma.lbh.1=0.01,rate.sigma.lbh.1 = 1e-3, shape.sigma.lbh.1 = 1e-3)
aneurism.res<-survBayes(Surv(left,right,cens*3,type="interval")~mo+loc+frailty(gr,dist="gamma"),data=aneurism.data,burn.in=0,number.sample=10,control=control)

[Package survBayes version 0.2.1.1 Index]