gmmsslmFit-class {gmmsslm} | R Documentation |
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