RCLSMIX-class

RCLSMVNORM-class

classes

R functions for random univariate and multivariate finite mixture model generation, estimation, clustering and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson or Dirac parametric families.

Marko Nagode

rebmix

Finite Mixture Modeling, Clustering & Classification

RCLSMIX-class function

Objects can be created by calls of the form <code>new("RCLSMIX", ...)</code>.

RCLSMIX-class: Class `"RCLSMIX"`

Description

Arguments

Objects from the Class

References