predict.MclustBounded: Model-based clustering estimation for bounded data

In mclustAddons: Addons for the 'mclust' Package

Model-based clustering estimation for bounded data

Description

Predict clustering for univariate and multivariate bounded data based on Gaussian finite mixture models estimated by MclustBounded().

Usage

## S3 method for class 'MclustBounded'
predict(object, newdata, ...)

Arguments

object	An object of class 'MclustBounded' resulting from a call to MclustBounded().
newdata	A numeric vector, matrix, or data frame of observations. If missing the density is computed for the input data obtained from the call to MclustBounded().
...	Further arguments passed to or from other methods.

Value

Returns a list of with the following components:

• classification A factor of predicted cluster labels for newdata.

• z A matrix whose [i,k]th entry is the probability that ith observation in newdata belongs to the kth cluster.

Author(s)

Luca Scrucca

References

Scrucca L. (2019) A transformation-based approach to Gaussian mixture density estimation for bounded data. Biometrical Journal, 61:4, 873–888. \Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.1002/bimj.201800174")}

See Also

MclustBounded(), plot.MclustBounded().

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