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

`maxNumClasses` |
the number of classes in the largest LCA model to considered. |

`numVariables` |
the number of observed variables. |

`numStatesForVariables` |
the number of states for each observed variable, at the moment these must all be equal. |

`phi` |
parameter controlling the strength of the sBIC penalty. |

An object representing the collection.

Lucaweihs/sBIC documentation built on June 3, 2017, 3:34 a.m.

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