survBayes-package         package:survBayes         R Documentation

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_D_e_s_c_r_i_p_t_i_o_n:

     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.

_D_e_t_a_i_l_s:


       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.

_A_u_t_h_o_r(_s):

     Volkmar Henschel, Christiane Heiss, Ulrich Mansmann

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

_S_e_e _A_l_s_o:

     'coxph', 'Surv'

_E_x_a_m_p_l_e_s:

     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)

