Distribution Optimization

Fits Gaussian mixtures by applying evolution. As fitness function a mixture of the chi square test for distributions and a novel measure for approximating the common area under curves between multiple Gaussians is used. The package presents an alternative to the commonly used likelihood maximisation as is used in Expectation maximisation. The evolution is based on the 'GA' package: Luca Scrucca (2013) while the Gaussian Mixture Logic stems from 'AdaptGauss': Alfred Ultsch, Michael Thrun, Onno Hansen-Goos, Jorn Lotsch (2015) .


Reference manual

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1.2.1 by Florian Lerch, 8 months ago

Browse source code at https://github.com/cran/DistributionOptimization

Authors: Florian Lerch , Jorn Lotsch , Alfred Ultsch

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports ggplot2, GA, AdaptGauss, graphics, stats, utils

See at CRAN