DistributionOptimization: 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 evolution is based on the 'GA' package: Luca Scrucca (2013) <doi:10.18637/jss.v053.i04> while the Gaussian Mixture Logic stems from 'AdaptGauss': Alfred Ultsch, Michael Thrun, Onno Hansen-Goos, Jorn Lotsch (2015) <doi:10.3390/ijms161025897>.

Version: 1.2.4
Imports: ggplot2, GA, AdaptGauss, graphics, stats, utils
Suggests: parallelDist
Published: 2019-11-25
Author: Florian Lerch, Jorn Lotsch, Alfred Ultsch
Maintainer: Florian Lerch <lerch at mathematik.uni-marburg.de>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: DistributionOptimization results


Reference manual: DistributionOptimization.pdf
Package source: DistributionOptimization_1.2.4.tar.gz
Windows binaries: r-devel: DistributionOptimization_1.2.1.zip, r-devel-gcc8: DistributionOptimization_1.2.1.zip, r-release: DistributionOptimization_1.2.1.zip, r-oldrel: DistributionOptimization_1.2.1.zip
OS X binaries: r-release: DistributionOptimization_1.2.1.tgz, r-oldrel: DistributionOptimization_1.2.1.tgz
Old sources: DistributionOptimization archive


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