response
:List of list of response
objects.
prior
:transInit
object; model for the
prior probabilities, also unconditional probabilities
dens
:Array of dimension sum(ntimes)*nresp*nstates
providing the densities of the observed responses for each state.
init
:Array of dimension
length(ntimes)
*nstates with the current predictions for the
initial state probabilities.
nstates
:The number of states (classes) of the model.
nresp
:The number of independent responses.
ntimes
:A vector of 1's for each case; for internal
use.
npars
:The total number of parameters of the model.
This is not the degrees of freedom, ie there are redundancies in
the parameters, in particular in the multinomial models for the
transitions and prior.