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 Maximization as is used in Expectation Maximization. The algorithm and applications of this package are published under: Lerch, F., Ultsch, A., Lotsch, J. (2020) . The evolution is based on the 'GA' package: Scrucca, L. (2013) while the Gaussian Mixture Logic stems from 'AdaptGauss': Ultsch, A, et al. (2015) .


Reference manual

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1.2.6 by Florian Lerch, a year 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, pracma

Suggests parallelDist

Imported by EDOtrans.

See at CRAN