gmmsslmFit-class {gmmsslm}

gmmsslmFit Class

Description

gmmsslmFit objects store the results of fitting Gaussian mixture models using the gmmsslm function.

An S4 class representing the result of fitting a Gaussian mixture model using gmmsslm()

Slots

objective

A numeric value representing the objective likelihood.

ncov

A numeric value representing the number of covariance matrices.

convergence

A numeric value representing the convergence value.

iteration

An integer value representing the number of iterations.

obs

A matrix containing the input data.

m

A logical vector representing label indicators.

n

An integer value representing the number of observations.

p

An integer value representing the number of variables.

g

An integer value representing the number of Gaussian components.

type

A character value representing the type of Gaussian mixture model.

pi

A numeric vector representing the mixing proportions.

mu

A matrix representing the location parameters.

sigma

An array representing the covariance matrix or list of covariance matrices.

xi

A numeric value representing the coefficient for a logistic function of the Shannon entropy.

See Also

gmmsslm