Description
R functions for random univariate and multivariate finite
mixture generation, number of components, component weights and
component parameters estimation, printing and plotting of
finite mixtures, bootstrapping and class membership prediction.
Variables can be either continuous or discrete, may follow
normal, lognormal, Weibull, gamma, binomial, Poisson or Dirac
parametric families and should be independent within
components.