MclustBounded: Model-based clustering for bounded data

In mclustAddons: Addons for the 'mclust' Package

Model-based clustering for bounded data

Description

Clustering of bounded data via transformation-based approach for Gaussian mixtures.

Usage

MclustBounded(data, ...)

## S3 method for class 'MclustBounded'
summary(object, classification = TRUE, parameters = FALSE, ...)

Arguments

data	A numeric vector, matrix, or data frame of observations. If a matrix or data frame, rows correspond to observations and columns correspond to variables.
...	Further arguments passed to densityMclustBounded(). For a full description of available arguments see the corresponding help page.
object	An object of class 'MclustBounded'.
classification	A logical, if TRUE a table of MAP classification/clustering of observations is printed.
parameters	A logical, if TRUE the estimated parameters of mixture components are printed.

Details

For more details see vignette("mclustAddons")

Value

Returns an object of class 'MclustBounded'.

Author(s)

Luca Scrucca

References

Scrucca L. (2024) A model-based clustering approach for bounded data using transformation-based Gaussian mixture models. Under review. arXiv pre-print available at http://arxiv.org/abs/2412.13572

See Also

densityMclustBounded(), predict.MclustBounded(), plot.MclustBounded().

mclustAddons documentation built on April 3, 2025, 11:19 p.m.