mclustOptions {mclust} | R Documentation |
Supplies a list of values an enumeration of models for use with MCLUST.
mclustOptions(emModelNames=NULL, hcModelNames=NULL, bicPlotSymbols=NULL, bicPlotColors=NULL, classPlotSymbols=NULL, classPlotColors=NULL, warn=TRUE)
emModelNames |
A vector of 3-character strings that are associated with multivariate
models for which EM estimation is available in MCLUST. |
hcModelNames |
A vector of character strings associated with multivariate models for
which model-based hierarchical clustering is available in MCLUST. |
bicPlotSymbols |
A vector whose entries are either integers corresponding to graphics
symbols or single characters for plotting BIC curves.
The default is |
bicPlotColors |
A vector whose entries are either integers corresponding to colors
to BIC curves.
|
classPlotSymbols |
A vector whose entries are either integers corresponding to graphics
symbols or single characters for plotting for
classifications. Classes are assigned symbols in the given order.
The default is |
classPlotColors |
A vector whose entries are either integers corresponding to graphics
symbols or single characters for plotting for
classifications. Classes are assigned symbols in the given order.
The default is |
warn |
A logical value allowing some types of warnings to be turned on
or off globally. Most of these warnings have to do with
situations in which singularities are encountered.
The default is |
mclustOptions
is provided for assigning values
to the .Mclust
list, which is used
to supply default values to various functions in MCLUST.
Calls to mclustOptions
do not in themselves affect
the outcome of computations.
A named list in which the names are the names of the arguments and the values are the values supplied to the arguments.
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). MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering, Technical Report no. 504, Department of Statistics, University of Washington.
irisBIC <- mclustBIC(iris[,-5]) summary(irisBIC, iris[,-5]) .Mclust .Mclust <- mclustOptions(emModelNames = c("VII", "VVI", "VVV")) .Mclust irisBIC <- mclustBIC(iris[,-5]) summary(irisBIC, iris[,-5]) .Mclust <- mclustOptions() # restore default values .Mclust