btmixClass: Class "btmix"

In psychomix: Psychometric Mixture Models

Class "btmix"

Description

A fitted btmix model.

Slots

model:

A FLXMC object for a Bradley-Terry mixture model

prior:

Numeric vector with prior probabilities of classes.

posterior:

Named list with elements scaled and unscaled, both matrices with one row per observation and one column per class.

iter:

Number of EM iterations.

k:

Number of classes after EM.

k0:

Number of classes at start of EM.

cluster:

Class assignments of observations.

size:

Class sizes.

logLik:

Log-likelihood at EM convergence.

df:

Total number of parameters of the model.

components:

List describing the fitted components using FLXcomponent objects.

formula:

Object of class "formula".

control:

Object of class "FLXcontrol".

call:

The function call used to create the object.

group:

Object of class "factor".

converged:

Logical, TRUE if EM algorithm converged.

concomitant:

Object of class "FLXP".

weights:

Optional weights of the observations.

flx.call:

Internal call to stepFlexmix

nobs:

Number of observations.

labels:

Labels of objects compared.

mscale:

Measurement scale of paired comparisons data.

undecided:

logical. Should an undecided parameter be estimated?

ref:

character or numeric. Which object parameter should be the reference category, i.e., constrained to zero?

type:

character. Should an auxiliary log-linear Poisson model or logistic binomial be employed for estimation? The latter is only available if not undecided effects are estimated.

Extends

Class flexmix, directly.

Accessor Functions

The following functions should be used for accessing the corresponding slots:

clusters:

Cluster assignments of observations.

posterior:

A matrix of posterior probabilities for each observation.

psychomix documentation built on Sept. 11, 2024, 6:56 p.m.