summary.Mclust {mclust}R Documentation

Summarizing Gaussian Finite Mixture Model Fits

Description

Summary method for class "Mclust".

Usage

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

Arguments

object

An object of class 'Mclust' resulting of a call to Mclust or densityMclust.

x

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

parameters

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

classification

Logical; if TRUE, the MAP classification/clustering of observations is printed.

digits

The number of significant digits to use when printing.

...

Further arguments passed to or from other methods.

Author(s)

Luca Scrucca

See Also

Mclust, densityMclust.

Examples

mod1 = Mclust(iris[,1:4])
summary(mod1)
summary(mod1, parameters = TRUE, classification = TRUE)

mod2 = Mclust(iris[,1:4], G = 1)
summary(mod2, parameters = TRUE, classification = TRUE)

mod3 = Mclust(iris[,1:4], prior = priorControl())
summary(mod3)

mod4 = Mclust(iris[,1:4], prior = priorControl(functionName="defaultPrior", shrinkage=0.1))
summary(mod4, parameters = TRUE, classification = TRUE)
[Package mclust version 5.4.1 Index]