mclust (version 4.1)

mclustModelNames: MCLUST Model Names

Description

Description of model names used in the MCLUST package.

Usage

mclustModelNames(model)

Arguments

model

A string specifying the model.

Value

• Returns a list giving the optimal (according to BIC) parameters, conditional probabilities z, and loglikelihood,
• model
  A character string indicating the model (as in input).
• type
  The description of the indicated model (see details below).

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 following models are available: lcl{ univariate mixture "E" = equal variance (one-dimensional) "V" = variable variance (one-dimensional) multivariate mixture "EII" = spherical, equal volume "VII" = spherical, unequal volume "EEI" = diagonal, equal volume and shape "VEI" = diagonal, varying volume, equal shape "EVI" = diagonal, equal volume, varying shape "VVI" = diagonal, varying volume and shape "EEE" = ellipsoidal, equal volume, shape, and orientation "EEV" = ellipsoidal, equal volume and equal shape "VEV" = ellipsoidal, equal shape "VVV" = ellipsoidal, varying volume, shape, and orientation single component "X" = univariate normal "XII" = spherical multivariate normal "XXI" = diagonal multivariate normal "XXX" = elliposidal multivariate normal }

See Also

Mclust mclustBIC

Examples

mclustModelNames("E")
mclustModelNames("EEE")
mclustModelNames("VVV")
mclustModelNames("XXI")