Package: DistributionOptimization
Type: Package
Title: Distribution Optimization
Version: 1.2.6
Author: Florian Lerch, Jorn Lotsch, Alfred Ultsch
Maintainer: Florian Lerch <lerch@mathematik.uni-marburg.de>
Description: 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) <doi:10.1038/s41598-020-57432-w>. The evolution is based on the 'GA' package: Scrucca, L. (2013) <doi:10.18637/jss.v053.i04> while the Gaussian Mixture Logic stems from 'AdaptGauss': Ultsch, A, et al. (2015) <doi:10.3390/ijms161025897>. 
Imports: ggplot2, GA, AdaptGauss, graphics, stats, utils, pracma
Suggests: parallelDist
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-02-12 12:05:11 UTC; florianlerch
Repository: CRAN
Date/Publication: 2020-02-12 15:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 17:40:09 UTC; unix
