R: Summary Function for Bootstrap Inference for Gaussian Finite...

summary.MclustBootstrap {mclust} | R Documentation

## Summary Function for Bootstrap Inference for Gaussian Finite Mixture Models

### Description

Summary of bootstrap distribution for the parameters of a Gaussian mixture model providing either standard errors or percentile bootstrap confidence intervals.

### Usage

    ## S3 method for class 'MclustBootstrap'
    summary(object, what = c("se", "ci", "ave"), conf.level = 0.95, ...)

### Arguments

`object` | An object of class `'MclustBootstrap'` as returned by `MclustBootstrap`.
`what` | A character string: `"se"` for the standard errors; `"ci"` for the confidence intervals; `"ave"` for the averages.
`conf.level` | A value specifying the confidence level of the interval.
`...` | Further arguments passed to or from other methods.

### Details

For details about the procedure used to obtain the bootstrap distribution see `MclustBootstrap`.

### See Also

`MclustBootstrap`.

### Examples

    data(diabetes)
    X = diabetes[,-1]
    modClust = Mclust(X)
    bootClust = MclustBootstrap(modClust)
    summary(bootClust, what = "se")
    summary(bootClust, what = "ci")

    data(acidity)
    modDens = densityMclust(acidity)
    modDens = MclustBootstrap(modDens)
    summary(modDens, what = "se")
    summary(modDens, what = "ci")

[Package mclust version 5.4.9 Index]