CRAN/E | DistributionOptimization

DistributionOptimization

Distribution Optimization

Installation

About

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.

Key Metrics

Version 1.2.6
Published 2020-02-12 1529 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Florian Lerch

lerch@mathematik.uni-marburg.de

Authors

Florian Lerch
Jorn Lotsch
Alfred Ultsch

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DistributionOptimization archive

Imports

ggplot2
GA
AdaptGauss
graphics
stats
utils
pracma

Suggests

parallelDist

Reverse Imports

opGMMassessment