R: Summarizing discriminant analysis based on Gaussian finite...

summary.MclustDA {mclust} | R Documentation

## Summarizing discriminant analysis based on Gaussian finite mixture modeling

### Description

Summary method for class `"MclustDA"`.

### Usage

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

### Arguments

`object` | An object of class `'MclustDA'` resulting from a call to `MclustDA`.
`x` | An object of class `'summary.MclustDA'`, usually, a result of a call to `summary.MclustDA`.
`parameters` | Logical; if `TRUE`, the parameters of mixture components are printed.
`newdata` | A data frame or matrix giving the test data.
`newclass` | A vector giving the class labels for the observations in the test data.
`digits` | The number of significant digits to use when printing.
`...` | Further arguments passed to or from other methods.

### Value

The function `summary.MclustDA` computes and returns a list of summary statistics of the estimated MclustDA or EDDA model for classification.

### Author(s)

Luca Scrucca

### See Also

`MclustDA`, `plot.MclustDA`.

### Examples

    mod = MclustDA(data = iris[,1:4], class = iris$Species)
    summary(mod)
    summary(mod, parameters = TRUE)

[Package mclust version 5.4.8 Index]