A depmix.sim model. The depmix.sim class directly
extends the depmix class, and has an additional slot for the
true states. A depmix.sim model can be generated by
simulate(mod,...), where mod is a depmix model.
Slots
response:
List of list of response objects.
transition
List of transInit objects.
prior:
transInit object.
dens:
Array of dimension sum(ntimes)*nresp*nstates
providing the densities of the observed responses for each state.
trDens:
Array of dimension sum(ntimes)*nstates
providing the probability of a state transition depending on the
predictors.
init:
Array of dimension length(ntimes)*nstates with
the current predictions for the initial state probabilities.
homogeneous:
Logical indicating whether the transitions are
time-dependent or not; for internal use.
ntimes:
A vector containing the lengths of independent time
series; if data is provided, sum(ntimes) must be equal to
nrow(data).
nstates:
The number of states of the model.
nresp:
The number of independent responses.
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.
states:
A matrix with the true states.
Accessor Functions
The following functions should be used for accessing the corresponding
slots: