GLMM_longitDA2 {mixAK} | R Documentation |
Discriminant analysis for longitudinal profiles based on fitted GLMM's
Description
WILL BE ADDED.
Usage
GLMM_longitDA2(mod, w.prior, y, id, x, z, xz.common = TRUE,
keep.comp.prob = FALSE, level = 0.95,
info, silent = FALSE)
Arguments
mod |
a list containing models fitted with the
|
w.prior |
a vector with prior cluster weights. The length of this
argument must be the same as the length of argument |
y |
vector, matrix or data frame (see argument |
id |
vector which determines clustered observations (see also
argument |
x |
see |
z |
see |
xz.common |
a logical value. If If |
keep.comp.prob |
a logical value indicating whether the allocation probabilities should be kept for all MCMC iterations. This may ask for quite some memory but it is necessary if credible intervals etc. should be calculated for the component probabilities. |
level |
level of HPD credible intervals that are calculated for
the component probabilities if |
info |
interval in which the function prints the progress of
computation (unless |
silent |
logical value indicating whether to switch-off printing the information during calculations. |
Details
This function complements a paper being currently in preparation.
GLMM_longitDA2
differs in many aspects from GLMM_longitDA2
!
Value
A list with the following components:
ADD |
ADD DESCRIPTION |
Author(s)
Arnošt Komárek arnost.komarek@mff.cuni.cz
See Also
Examples
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