Summarizing semi-supervised classification model based on Gaussian finite mixtures

Summary method for class "MclustSSC".

Usage

# S3 method for class 'MclustSSC'
summary(object, parameters = FALSE, ...)
# S3 method for class 'summary.MclustSSC'
print(x, digits = getOption("digits"), ...)

Arguments

object

An object of class 'MclustSSC' resulting from a call to MclustSSC.

x

An object of class 'summary.MclustSSC', usually, a result of a call to summary.MclustSSC.

parameters

Logical; if TRUE, the parameters of mixture components are printed.

digits

The number of significant digits to use when printing.

...

Further arguments passed to or from other methods.

Value

The function summary.MclustSSC computes and returns a list of summary statistics of the estimated MclustSSC model for semi-supervised classification.

Author

Luca Scrucca

See also

MclustSSC, plot.MclustSSC.