mix-class: Class "mix"

In depmix/depmixS4: Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4

Class "mix"

Description

A mix model.

Objects from the Class

Objects can be created by calls to mix.

Slots

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.

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)

Ingmar Visser & Maarten Speekenbrink

Examples

	showClass("mix")

depmix/depmixS4 documentation built on May 31, 2024, 8:09 a.m.