bicEMtrain: 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, A. E. Raftery, T. B. Murphy and L. Scrucca (2012).
mclust Version 4 for R: Normal Mixture Modeling for Model-Based
Clustering, Classification, and Density Estimation.
Technical Report No. 597, Department of Statistics, University of Washington.