Given a number of classes, get the model parameters (alphas,
Pis, Taus ).
Usage
"getModel"( object, ...)
Arguments
object
a mixer object (output of the mixer function).
...
adding arguments (depending on the object type)
q
selects a q-class model. If NULL, q value is
chosen to maximise the criterion (ICL criterion or ILvb criterion)
(see plot.mixer and mixer).
Default NULL.
Value
Return a list with the following attributes:
q
q-class model selected.
criterion
criterion value (ICL criterion or ILvb criterion).
alphas
vector of class proportion.
Pis
connectivity matrix of classes.
Taus
matrix of posterior probabilities (of the hidden
colour knowing the graph structure).