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:
In all cases, the value
-1 is used as a placeholder for unknown nonzero entries.