depmix.fitted-class {depmixS4} | R Documentation |
Class "depmix.fitted"
Description
A fitted depmix
model.
Slots
A depmix.fitted
object is a depmix
object with three
additional slots, here is the complete list:
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.
message
:- This provides some information on convergence,
either from the EM algorithm or from Rdonlp2.
conMat
:- The linear constraint matrix, which has zero rows
if there were no constraints.
lin.lower
- The lower bounds on the linear constraints.
lin.upper
- The upper bounds on the linear constraints.
posterior
:- Posterior (Viterbi) state sequence (not
implemented currently).
Details
The print function shows some convergence information, and the summary
method shows the parameter estimates.
Extends
depmix.fitted
extends the depmix
class.
Author(s)
Ingmar Visser
[Package
depmixS4 version 0.2-1
Index]