Class "flexmix"

Description

A fitted flexmix model.

Objects from the Class

Objects are typically created by calling function flexmix.

Slots

model:

List of FLXmodel objects.

prior:

Numeric vector with prior probabilities of clusters.

posterior:

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

iter:

Number of EM iterations.

cluster:

Cluster assignments of observations.

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.

Methods

AIC

signature(object = "flexmix"): calculate Akaike's information criterion.

BIC

signature(object = "flexmix"): calculate the Bayesian information criterion.

logLik

signature(object = "flexmix"): calculate the log-likelihood for the model.

parameters

signature(object = "flexmix"): extract parameters of model components.

predict

signature(object = "flexmix"): predict response for new data.

Author(s)

Friedrich Leisch