R functions for random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson, Dirac or circular von Mises parametric families.
|Author||Marko Nagode [aut, cre]|
|Maintainer||Marko Nagode <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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