bayesSurv (version 2.4)

bayesHistogram.help: Helping function for Bayesian smoothing of (bi)-variate densities based on possibly censored data

Description

These functions are not to be called by ordinary users.

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

Usage

bayesHistogram.design(y1, y2)
bayesHistogram.checkStore(store)
bayesHistogram.priorInit(prior, init, mcmc.par, design)
bayesHistogram.writeHeaders(dir, design, prior.init, store)

Arguments

y1

response for the first dimension. This should be a~survival object created by Surv

y2

response object for the second dimension (if bivariate density is to be smoothed). This should be a~survival object created by Surv. Further, it must be consistent with y1, i.e

store

a~list with appropriate components

prior

a~list as required by prior argument of function bayesHistogram

init

a~list as required by init argument of function bayesHistogram

mcmc.par

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

design

a~list with the design information as returned by the function bayesHistogram.design. The list is assumed to have the following components: [object Object],[object Object],[object Object],[object Object]

dir

string giving a~directory where to store sampled files

prior.init

an~object as returned by bayesHistogram.priorInit

Value

• Some lists.