Description Usage Arguments Value Value for bayesHistogram.design Value for bayesHistogram.priorInit Author(s)
These functions are not to be called by ordinary users.
These are just subparts of ‘bayesHistogram’ function to make it more readable for the programmer.
1 2 3 4 5 6 7  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 
y2 
response object for the second dimension (if bivariate
density is to be smoothed). This should be a~survival object created
by 
store 
a~list with appropriate components 
prior 
a~list as required by 
init 
a~list as required by 
mcmc.par 
a~list as required by 
design 
a~list with the design information as returned by the
function

dir 
string giving a~directory where to store sampled files 
prior.init 
an~object as returned by 
Some lists.
A~list with the following components:
vector or matrix with either observed, right or left
censored observations or with the lower limits of interval censored
observations. It is a vector if 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.
vector or matrix with entries equal to 1 for observed,
right or left censored observations and entries equal to the upper
limits of interval censored observations. The structure is the same
as that of y.left
.
a~vector or matrix with censoring indicators (1 =
exactly observed, 0 = right censored, 2 = left censored, 3 =
interval censored). The structure is the same as that of y.left
.
dimension of the response, i.e. 1 (univariate smoothing) or 2 (bivariate smoothing)
A~list with the following components:
integer parameters for the Gspline constructor in the C++ code
double parameters for the Gspline constructor in the C++ code
index of the nullth iteration
vector of initial values for the response, sorted as y[1,1],y[1,2], …, y[n,1],y[n,2] in the case of bivariate response with sample size equal to n
initial component labels (vector of size n) taking values from 1 to the total length of the Gspline
specification of the Gspline model (1 or 2), see
bayesHistogram
for more detail
and the following attributes:
init 
prior 
mcmc.par 
Arno<c5><a1>t Kom<c3><a1>rek arnost.komarek[AT]mff.cuni.cz
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