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

bayessurvreg2.helpR Documentation

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 arnost.komarek@mff.cuni.cz


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