depmix.sim-class {depmixS4} | R Documentation |
Class "depmix.sim"
Description
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.
stationary
:- 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:
npar
:- The number of parameters of the model.
nresp
:- The number of responses.
nstates
:- The number of states.
ntimes
:- The vector of independent time series lengths.
Author(s)
Maarten Speekenbrink
[Package
depmixS4 version 0.2-1
Index]