bayesSurv (version 2.6)

bayessurvreg3.help: Helping functions for Bayesian regression with an error distribution smoothed using G-splines

Description

These functions are not to be called by ordinary users.

These are just sub-parts of `bayessurvreg3' function to make it more readable for the programmer.

Usage

bayessurvreg3.checkStore(store)
bayessurvreg3.priorInit(prior, init, design, mcmc.par,
   prior2, init2, design2, mcmc.par2, doubly)
bayessurvreg3.priorBeta(prior.beta, init, design)
bayessurvreg3.priorb(prior.b, init, design, mcmc.par)
bayessurvreg3.writeHeaders(dir, doubly, prior.init,
   priorb.di, priorb2.di, store, design, design2,
   version, mclass)
bayessurvreg3.priorinitNb(priorinit.Nb, init, init2,
   design, design2, doubly)
bayessurvreg3.checkrho(rho, doubly)

Arguments

store

a list as required by the argument store of the function bayessurvreg2

prior

a list as required by the argument prior of the function bayessurvreg3

prior2

a list as required by the argument prior2 of the function bayessurvreg3

init

a list as required by the argument init of the function bayessurvreg3

init2

a list as required by the argument init2 of the function bayessurvreg3

mcmc.par

a list as required by the argument mcmc.par of the function bayessurvreg3

mcmc.par2

a list as required by the argument mcmc.par2 of the function bayessurvreg3

design

an object as returned by the function bayessurvreg.design related to either the onset time if doubly censored observations or to the event time. Remark: design$Y contain

design2

an object as returned by the function bayessurvreg.design related to time-to-event if doubly censored observations. Remark: design2$Y contains original times and NOT the

doubly

logical indicating whether the response is doubly censored or not

prior.beta

a list as required by the argument prior.beta or prior.beta2 of the function bayessurvreg3

prior.b

a list as required by the argument prior.b or prior.b2 of the function bayessurvreg3

init

a~list as required by the argument init or init2 of the function bayessurvreg3

dir

path to the directory where the sampled values are to be stored

prior.init

a list as returned by the function bayessurvreg3.priorInit

priorb.di

a list as returned by the function bayessurvreg3.priorb

priorb2.di

a list as returned by the function bayessurvreg3.priorb

priorinit.Nb

a list as required by the argument priorinit.Nb of the function bayessurvreg3

rho

a list as required by the argument rho of the function bayessurvreg3

version

it is equal to 3 if either there is no correlation coefficient between the onset and time-to-event random intercepts or this correlation coefficient is fixed to 0

It is equal to 31 if we are estimating correlation coefficient between the

mclass

object created by bayessurvreg3 function related to a model which considers possible misclassification of the event status.

Value

• Some lists (in most cases).