bayesBisurvreg.help: Helping function for Bayesian regression with smoothed bivariate densities as the error term, based on possibly censored data

Description

These functions are not to be called by ordinary users.

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

Usage

bayesBisurvreg.checkStore(store)
bayesBisurvreg.priorInit(dim, prior, init, design, mcmc.par,
                              prior2, init2, design2, mcmc.par2,
                         doubly)
bayesBisurvreg.priorBeta(prior.beta, init, design)
bayesBisurvreg.writeHeaders(dir, dim, nP, doubly, prior.init, store,
                            design, design2)

Arguments

store

a~list as required by the argument store of the function bayesBisurvreg

dim

dimension of the response, 1 or 2

prior

a~list as required by the argument prior of the function bayesBisurvreg

prior2

a~list as required by the argument prior2 of the function bayesBisurvreg

init

a~list as required by the argument init of the function bayesBisurvreg

init2

a~list as required by the argument init2 of the function bayesBisurvreg

mcmc.par

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

mcmc.par2

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

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 bayesBisurvreg

dir

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

sample size - number of observations if the univariate model is fitted, number of bivariate observational vectors if the bivariate model is fitted

prior.init

a~list as returned by the function bayesBisurvreg.priorInit

store

a~list as returned by the function bayesBisurvreg.checkStore

Value

Some lists.