mclust (version 3.4.7)

Defaults.Mclust: List of values controlling defaults for some MCLUST functions.

Description

A named list of values including an enumeration of models used as defaults in MCLUST functions.

Arguments

Value

  • A list with the following components:
  • emModelNamesA vector of character strings associated with multivariate models for which EM estimation is available in MCLUST. The current default is the following list: "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
  • hcModelNamesA vector of character strings associated with multivariate models for which model-based hierarchical clustering is available in MCLUST. The current default is the following list: "EII": spherical, equal volume "VII": spherical, unequal volume "EEE": ellipsoidal, equal volume, shape, and orientation "VVV": ellipsoidal, varying volume, shape, and orientation
  • bicPlotSymbolsA vector whose entries correspond to graphics symbols for plotting the BIC values output from Mclust and mclustBIC. These are displayed in the legend which appears at the lower right of the BIC plots.
  • bicPlotColorsA vector whose entries correspond to colors for plotting the BIC curves from output from Mclust and mclustBIC. These are displayed in the legend which appears at the lower right of the BIC plots.
  • classPlotSymbolsA vector whose entries are either integers corresponding to graphics symbols or single characters for indicating classifications when plotting data. Classes are assigned symbols in the given order.
  • classPlotColorsA vector whose entries correspond to colors for indicating classifications when plotting data. Classes are assigned colors in the given order.
  • warnA logical value indicating whether or not to issue certain warnings (usually involving singularity). Default: warn = TRUE.

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 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.

Details

A function mclustOptions is supplied for assigning values to the .Mclust list.

See Also

mclustOptions, Mclust, mclustBIC

Examples

Run this code
irisBIC <- Mclust(iris[,-5])
summary(irisBIC, iris[-5])

.Mclust
.Mclust <- mclustOptions(emModelNames = c("VII", "VVI", "VVV"))
.Mclust

irisBIC <- Mclust(iris[,-5])
summary(irisBIC, iris[-5])

.Mclust <- mclustOptions() # restore defaults
.Mclust

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