Defaults.Mclust {mclust}R Documentation

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.

Details

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

Value

A list with the following components:

emModelNames

A 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

hcModelNames

A 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

bicPlotSymbols

A 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.

bicPlotColors

A 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.

classPlotSymbols

A 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.

classPlotColors

A vector whose entries correspond to colors for indicating classifications when plotting data. Classes are assigned colors in the given order.

warn

A 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.

See Also

mclustOptions, Mclust, mclustBIC

Examples

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

[Package mclust version 3.4.11 Index]