summary.Mclust: Summarizing Gaussian Finite Mixture Model Fits

In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

Summarizing Gaussian Finite Mixture Model Fits

Description

Summary method for class "Mclust".

Usage

## S3 method for class 'Mclust'
summary(object, classification = TRUE, parameters = 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.
classification	Logical; if TRUE a table of MAP classification/clustering of observations is printed.
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.

Author(s)

Luca Scrucca

See Also

Mclust, densityMclust.

Examples

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

mod2 = densityMclust(faithful, plot = FALSE)
summary(mod2)
summary(mod2, parameters = TRUE)

mclust documentation built on Nov. 16, 2023, 5:10 p.m.