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"), 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.
`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.

References

Davison, A. and Hinkley, D. (1997) Bootstrap Methods and Their Applications. Cambridge University Press.

McLachlan, G.J. and Peel, D. (2000) Finite Mixture Models. Wiley.

Examples

## Not run: 
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")

## End(Not run)

[Package mclust version 5.3 Index]