summary.Mclust: Summarizing Gaussian Finite Mixture Model Fits

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

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)

Japrin/mclust documentation built on Nov. 18, 2019, 5:21 a.m.