bayesHistogram.help {bayesSurv} | R Documentation |
These functions are not to be called by ordinary users.
These are just sub-parts of `bayesHistogram' function to make it more readable for the programmer.
bayesHistogram.design(y1, y2) bayesHistogram.checkStore(store) bayesHistogram.priorInit(prior, init, mcmc.par, design) bayesHistogram.writeHeaders(dir, design, prior.init, store)
y1 |
response for the first dimension. This should be a~survival object
created by Surv |
y2 |
response object for the second dimension (if bivariate
density is to be smoothed). This should be a~survival object created
by Surv . Further, it must be consistent with
y1 , i.e. it has to have the same number of rows. |
store |
a~list with appropriate components |
prior |
a~list as required by prior argument of function bayesHistogram |
init |
a~list as required by init argument of function bayesHistogram |
mcmc.par |
a~list as required by mcmc.par argument of
function bayesHistogram |
design |
a~list with the design information as returned by the
function bayesHistogram.design . The list is assumed
to have the following components:
|
dir |
string giving a~directory where to store sampled files |
prior.init |
an~object as returned by bayesHistogram.priorInit |
Some lists.
A~list with the following components:
dim == 1
and it is a matrix with
2 rows and n columns if dim == 2
, where n
is a~sample size. In that case, the first row of the matrix are
responses for the first dimension and the second row of the matrix
are responses for the second dimension.y.left
.y.left
.A~list with the following components:
bayesHistogram
for more detailand the following attributes:
init |
prior |
mcmc.par |
Arnošt Komárek arnost.komarek[AT]mff.cuni.cz