bayesBisurvreg.help {bayesSurv} | R Documentation |
These functions are not to be called by ordinary users.
These are just sub-parts of `bayesBisurvreg' function to make it more readable for the programmer.
bayesBisurvreg.checkStore(store) bayesBisurvreg.priorInit(dim, prior, init, design, mcmc.par, prior2, init2, design2, mcmc.par2, doubly) bayesBisurvreg.priorBeta(prior.beta, init, design) bayesBisurvreg.writeHeaders(dir, dim, nP, doubly, prior.init, store, design, design2)
store |
a~list as required by the argument store of the
function bayesBisurvreg |
dim |
dimension of the response, 1 or 2 |
prior |
a~list as required by the argument prior of the
function bayesBisurvreg |
prior2 |
a~list as required by the argument prior2 of the
function bayesBisurvreg |
init |
a~list as required by the argument init of the
function bayesBisurvreg |
init2 |
a~list as required by the argument init2 of the
function bayesBisurvreg |
mcmc.par |
a~list as required by the argument mcmc.par of the
function bayesBisurvreg |
mcmc.par2 |
a~list as required by the argument mcmc.par2 of the
function bayesBisurvreg |
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 bayesBisurvreg |
dir |
path to the directory where the sampled values are to be stored |
nP |
sample size - number of observations if the univariate model is fitted, number of bivariate observational vectors if the bivariate model is fitted |
prior.init |
a~list as returned by the function
bayesBisurvreg.priorInit |
store |
a~list as returned by the function
bayesBisurvreg.checkStore |
Some lists.
A~list with the following components:
y[1,1],y[1,2], ..., y[n,1],y[n,2]
in the case of bivariate response with sample size equal to n
bayesHistogram
for more detailbayesBisurvreg
, related to the onset time in the case of
doubly censoring and to the event time otherwisebayesBisurvreg
, related to the onset time in the case of
doubly censoring and to the event time otherwisebayesBisurvreg
related to the onset time in the case of
doubly censoring and to the event time otherwisebayesBisurvreg
, related to time-to-event in the
case of doubly censoring, equal to 0 if there is no doubly-censoringbayesBisurvreg
, related to time-to-event in the
case of doubly censoring, equal to 0 if there is no doubly-censoringand the following attributes:
init |
prior |
mcmc.par |
init2 |
prior2 |
mcmc.par2 |
A~list with the following components:
classBetaGamma
constructorclassBetaGamma
constructorand the following attributes:
numeric(0)
if there are no regressorsmean.prior
and
var.prior
containing vectors with the prior mean and prior
variance of the beta
parametersArnošt Komárek arnost.komarek[AT]mff.cuni.cz