GLMM_longitDA {mixAK} | R Documentation |
THIS FUNCTION IS BEING DEVELOPED AND ORDINARY USERS ARE NOT RECOMMENDED TO USE IT.
GLMM_longitDA(mod, w.prior, y, id, time, x, z, xz.common=TRUE, info)
mod |
a list containing models fitted with the
GLMM_MCMC function. Each component of the list is the
GLMM fitted in the training dataset of each cluster.
|
w.prior |
a vector with prior cluster weights. The length of this
argument must be the same as the length of argument mod .
Can also be given relatively, e.g., as c(1, 1) which means
that both prior weights are equal to 1/2.
|
y |
vector, matrix or data frame (see argument y of
GLMM_MCMC function) with responses of objects that are
to be clustered.
|
id |
vector which determines clustered observations (see also
argument y of GLMM_MCMC function).
|
time |
vector which gives indeces of observations within
clusters. It appears (together with id ) in the output as
identifier of observations |
x |
see xz.common below. |
z |
see xz.common below. |
xz.common |
a logical value.
If TRUE then it is assumed
that the X and Z matrices are the same for GLMM in each cluster. In
that case, arguments x and z have the same structure
as arguments x and z of GLMM_MCMC
function.
If FALSE then X and Z matrices for the GLMM may differ across
clusters. In that case, arguments x and z are both
lists of length equal to the number of clusters and each component
of lists x and z has the same structure as arguments
x and z of GLMM_MCMC function.
|
info |
interval in which the function prints the progress of computation |
I HOPE TO WRITE A PAPER DESCRIBING ALL THE DETAILS.
A list with the following components:
ident |
ADD DESCRIPTION |
marg |
ADD DESCRIPTION |
cond |
ADD DESCRIPTION |
ranef |
ADD DESCRIPTION |
Arnošt Komárek arnost.komarek[AT]mff.cuni.cz
Komárek, A., Hansen, B. E., Kuiper, E. M. M., van Buuren, H. R., and Lesaffre, E. (2010). Discriminant analysis using a multivariate linear mixed model with a normal mixture in the random effects distribution. Statistics in Medicine. To appear.
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