Objects can be created by calls to
List of list of
transInit object; model for the
prior probabilities, also unconditional probabilities
Array of dimension sum(ntimes)*nresp*nstates providing the densities of the observed responses for each state.
Array of dimension
length(ntimes)*nstates with the current predictions for the
initial state probabilities.
The number of states (classes) of the model.
The number of independent responses.
A vector of 1's for each case; for internal use.
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.
The following functions should be used for accessing the corresponding slots:
The number of parameters of the model.
The number of responses.
The number of states.
The vector of independent time series lengths.