mclust: summary.MclustBootstrap – R documentation

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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 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.

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, plot = FALSE)
modDens = MclustBootstrap(modDens)
summary(modDens, what = "se")
summary(modDens, what = "ci")

mclust

Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

v5.4.10

GPL (>= 2)

Authors

Chris Fraley [aut], Adrian E. Raftery [aut] (<https://orcid.org/0000-0002-6589-301X>), Luca Scrucca [aut, cre] (<https://orcid.org/0000-0003-3826-0484>), Thomas Brendan Murphy [ctb] (<https://orcid.org/0000-0002-5668-7046>), Michael Fop [ctb] (<https://orcid.org/0000-0003-3936-2757>)

Initial release

2022-05-20