| GaussianMixtures {sBIC} | R Documentation |
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.