mclust (version 5.4.7)

summary.MclustBootstrap: 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 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

# 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")
# }