bayessurvreg3.help {bayesSurv} | R Documentation |
These functions are not to be called by ordinary users.
These are just sub-parts of `bayessurvreg3' function to make it more readable for the programmer.
bayessurvreg3.checkStore(store) bayessurvreg3.priorInit(prior, init, design, mcmc.par, prior2, init2, design2, mcmc.par2, doubly) bayessurvreg3.priorBeta(prior.beta, init, design) bayessurvreg3.priorb(prior.b, init, design, mcmc.par) bayessurvreg3.writeHeaders(dir, doubly, prior.init, priorb.di, priorb2.di, store, design, design2, version) bayessurvreg3.priorinitNb(priorinit.Nb, init, init2, design, design2, doubly) bayessurvreg3.checkrho(rho, doubly)
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 bayessurvreg3 |
prior2 |
a list as required by the argument prior2 of the
function bayessurvreg3 |
init |
a list as required by the argument init of the
function bayessurvreg3 |
init2 |
a list as required by the argument init2 of the
function bayessurvreg3 |
mcmc.par |
a list as required by the argument mcmc.par of the
function bayessurvreg3 |
mcmc.par2 |
a list as required by the argument mcmc.par2 of the
function bayessurvreg3 |
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 bayessurvreg3 |
prior.b |
a list as required by the argument prior.b or
prior.b2 of the function bayessurvreg3 |
init |
a~list as required by the argument init or init2
of the function bayessurvreg3 |
dir |
path to the directory where the sampled values are to be stored |
prior.init |
a list as returned by the function
bayessurvreg3.priorInit |
priorb.di |
a list as returned by the function
bayessurvreg3.priorb |
priorb2.di |
a list as returned by the function
bayessurvreg3.priorb |
priorinit.Nb |
a list as required by the argument
priorinit.Nb of the function bayessurvreg3 |
rho |
a list as required by the argument rho
of the function bayessurvreg3 |
version |
it is equal to 3 if either there is no correlation
coefficient between the onset and time-to-event random intercepts or
this correlation coefficient is fixed to 0
It is equal to 31 if we are estimating correlation coefficient between the onset and time-to-event random intercepts. |
Some lists.
A list with the following components:
RandomEff
constructorRandomEff
constructorGspline
constructor related to the smothed density of the random interceptGspline
constructor
related to the smoothed density of the random interceptand the following attributes:
prior.b |
init |
mcmc.par |
Arnošt Komárek arnost.komarek[AT]mff.cuni.cz