FactorAnalyses

the number of covariates in all of the models.

numCovariates

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

maxNumFactors


Creates an object representing a collection of factor analysis models. There
is one model for each fixed number of factors from 0 to some specified
maximum number of factors. Each model is identified by a single
number, in particular the model with n factors is associated with the model
numbered (n + 1), this is because we allow a model with 0 factors and would
like all models to be numbered with strictly positive integers for
consistency. Models are naturally ordered by inclusion so that, for example,
a model with 2 factors comes before a model with 3 or more factors.


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.

FactorAnalyses: Construct a poset of factor analysis models.

Description

Usage

Arguments

Value