R: Summarizing semi-supervised classification model based on...

summary.MclustSSC {mclust} | R Documentation

## Summarizing semi-supervised classification model based on Gaussian finite mixtures

### Description

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(s)

Luca Scrucca

### See Also

`MclustSSC`, `plot.MclustSSC`.

[Package mclust version 5.4.8 Index]