bayessurvreg2.help: Helping functions for Bayesian regression with an error...

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

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 ‘bayessurvreg2’ function to make it more readable for the programmer.

Usage

bayessurvreg2.checkStore(store)

bayessurvreg2.priorInit(prior, init, design, mcmc.par,
                        prior2, init2, design2, mcmc.par2, doubly)

bayessurvreg2.priorBeta(prior.beta, init, design)

bayessurvreg2.priorb(prior.b, init, design)

bayessurvreg2.writeHeaders(dir, doubly, prior.init, store, design, design2)

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 bayessurvreg2
prior2	a~list as required by the argument prior2 of the function bayessurvreg2
init	a~list as required by the argument init of the function bayessurvreg2
init2	a~list as required by the argument init2 of the function bayessurvreg2
mcmc.par	a~list as required by the argument mcmc.par of the function bayessurvreg2
mcmc.par2	a~list as required by the argument mcmc.par2 of the function bayessurvreg2
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$Y contains original times and NOT their logarithmic transformations.
design2	an~object as returned by the function bayessurvreg.design related to time-to-event if doubly censored observations. Remark: design2$Y contains original times and NOT their logarithmic transformations.
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 bayessurvreg2
prior.b	a~list as required by the argument prior.b or prior.b2 of the function bayessurvreg2
dir	path to the directory where the sampled values are to be stored
prior.init	a~list as returned by the function bayessurvreg2.priorInit

Value

Some lists.

Value for bayessurvreg2.priorBeta

A list with the following components:

parmI

integer arguments for C++ BetaGamma constructor

parmD

double arguments for C++ BetaGamma constructor

and the following attributes:

init

prior.beta

Value for bayessurvreg2.priorInit

The same object as that returned by bayesBisurvreg.priorInit.

Value for bayessurvreg2.priorb

A list with the following components:

bparmI

integer arguments for C++ RandomEff constructor

bparmD

double arguments for C++ RandomEff constructor

DparmI

integer arguments for C++ CovMatrix constructor

DparmD

double arguments for C++ CovMatrix constructor

and the following attributes:

init.b

init.D

prior.b

Author(s)

Arnošt Komárek [e-mail]

bayesSurv documentation built on Sept. 30, 2024, 9:34 a.m.