| 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 komarek@karlin.mff.cuni.cz