mclust (version 4.1)

mclustVariance: Template for variance specification for parameterized Gaussian mixture models

Description

Specification of variance parameters for the various types of Gaussian mixture models.

Usage

mclustVariance(modelName, d = NULL, G = 2)

Arguments

modelName

A character string specifying the model.

d

A integer specifying the dimension of the data.

G

An integer specifying the number of components in the mixture model.

References

C. Fraley and A. E. Raftery (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611:631.

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.

Details

The variance component in the {parameters} list from the output to e.g. me or mstep or input to e.g. estep may contain one or more of the following arguments, depending on the model: [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object] In all cases, the value -1 is used as a placeholder for unknown nonzero entries.