R: Summarizing Gaussian Finite Mixture Model Fits

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, 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)
    summary(mod2)
    summary(mod2, parameters = TRUE)

[Package mclust version 5.4.9 Index]