bicEMtrain {mclust}R Documentation

Select models in discriminant analysis using BIC

Description

Computes the BIC given a dataset and labels for selected models.

Usage

bicEMtrain(data, labels, modelNames=NULL)

Arguments

data

A numeric vector or matrix of observations.

labels

Labels for each element or row in the data.

modelNames

Vector of model names that should be tested. The default is to select all available model names.

Value

Returns a vector where each element is the BIC for the dataset and labels corresponding to each model.

References

C. Fraley and A. E. Raftery (2006, revised 2010). MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering, Technical Report no. 504, Department of Statistics, University of Washington.

Author(s)

C. Fraley

See Also

cv1EMtrain

Examples

even <- seq(from=2, to=nrow(chickwts), by=2)
round(bicEMtrain(chickwts[even,1], labels=chickwts[even,2]), 1)

[Package mclust version 3.4.11 Index]