BinomialMixtures

the maximum number of components allowed in a model, will
create a hierarchy of all models with less than or equal
to this number.

maxNumComponents

parameter controlling the strength of the sBIC penalty.


Creates an object representing a collection of binomial 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.


Computes the sBIC for various singular model collections including:
binomial mixtures, factor analysis models, Gaussian mixtures,
latent forests, latent class analyses, and reduced rank regressions.

BinomialMixtures: Construct a poset of binomial mixture models.

Description

Usage

Arguments

Value