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mclust

summary.Mclust

Summarizing Gaussian Finite Mixture Model Fits

Description

Summary method for class "Mclust".

Usage

## S3 method for class 'Mclust'
summary(object, classification = TRUE, parameters = FALSE, ...)
## S3 method for class 'summary.Mclust'
print(x, digits = getOption("digits"), ...)

Arguments

object

An object of class 'Mclust' resulting of a call to Mclust or densityMclust.
x

An object of class 'summary.Mclust', usually, a result of a call to summary.Mclust.
classification

Logical; if TRUE a table of MAP classification/clustering of observations is printed.
parameters

Logical; if TRUE, the parameters of mixture components are printed.
digits

The number of significant digits to use when printing.
...

Further arguments passed to or from other methods.

Author(s)

Luca Scrucca

See Also

Examples

mod1 = Mclust(iris[,1:4])
summary(mod1)
summary(mod1, parameters = TRUE, classification = FALSE)

mod2 = densityMclust(faithful, plot = FALSE)
summary(mod2)
summary(mod2, parameters = TRUE)
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

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