em-class {fdm2id}

Expectation-Maximization model

Description

This class contains the model obtained by the EM method.

Slots

modelName

A character string indicating the model. The help file for mclustModelNames describes the available models.

prior

Specification of a conjugate prior on the means and variances.

n

The number of observations in the dataset.

d

The number of variables in the dataset.

G

The number of components of the mixture.

z

A matrix whose [i,k]th entry is the conditional probability of the ith observation belonging to the kth component of the mixture.

parameters

A names list giving the parameters of the model.

control

A list of control parameters for EM.

loglik

The log likelihood for the data in the mixture model.

cluster

A vector of integers (from 1:k) indicating the cluster to which each point is allocated.

See Also

EM, mclustModelNames