bayessurvreg1.help: Helping function for Bayesian survival regression models,...

In bayesSurv: Bayesian Survival Regression with Flexible Error and Random Effects Distributions

Helping function for Bayesian survival regression models, version 1.

Description

These functions are not to be called by ordinary users.

These are just sub-parts of ‘bayessurvreg1’ function to make it more readable for the programmer.

Usage

bayessurvreg1.checkStore(store)

bayessurvreg1.priorInit(prior, init, Yinit, Xinit, n, nX, nrandom,
   ncluster, indb, randomInt, toler.chol)

bayessurvreg1.priorBeta(prior.beta, nX, indb, factors,
   n.factors, n.in.factors)

bayessurvreg1.priorb(prior.b, nrandom, ncluster, toler.chol)

bayessurvreg1.writeHeaders(dir, prior, store, nX, X, names.random,
   ncluster, nrandom, rnamesX, unique.cluster, nBetaBlocks, nbBlocks)

bayessurvreg1.revjump(prop.revjump)

Arguments

store	a~list as required by the store argument of the function bayessurvreg1
prior, init, Yinit, Xinit, n, nX, nrandom, ncluster	???
indb, randomInt, toler.chol	???
prior.beta, factors, n.factors, n.in.factors	???
prior.b	???
prop.revjump	???
dir, X, names.random	???
rnamesX, unique.cluster, nBetaBlocks, nbBlocks	???

Value

Some lists.

Value for bayessurvreg1.priorb

A~list with the following components:

double

double vector for C++ constructor of class bblocks. It has the following parts:

priordD

covparLV

halfRangeUnif

weightUnif

integer

integer vector for C++ constructor of class bblocks. It has the following parts:

nrandom

ncluster

priorD

typeUpd

nBlocks

nInBlock

lcovparLV

indBlockLV

and the following attributes:

prior.b

Author(s)

Arnošt Komárek [e-mail]

bayesSurv documentation built on Dec. 5, 2022, 5:22 p.m.