sBIC (version 0.2.0)

GaussianMixtures: Construct a poset of gaussian mixture models.

Description

Creates an object representing a collection of gaussian mixture models. There is one model for each fixed number of components from 1 to some specified maximum. In particular each model is identified by a single number specifiying the number of components in the model. Models are naturally ordered by inclusion so that, for example, a model with 2 components comes before a model with 3 or more components.

Usage

GaussianMixtures(maxNumComponents = 1, dim = 1, phi = "default", restarts = 50)

Arguments

maxNumComponents

the maximum number of gaussian components to consider in a mixture.

dim

the ambient dimension in which the gaussian mixtures reside. Default is 1, corresponding to gaussian mixtures on the real line.

phi

parameter controlling the strength of the sBIC penalty.

restarts

the number of random restarts to perform when computing the MLE.

Value

An object representing the collection.