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DistributionOptimization
View on CRAN: Click
here
Download and install DistributionOptimization package within the R console
Install from CRAN:
install.packages("DistributionOptimization")
Install from Github:
library("remotes")
install_github("cran/DistributionOptimization") Install by package version:
library("remotes")
install_version("DistributionOptimization", "1.2.6") Attach the package and use:
library("DistributionOptimization")
Maintained by
Florian Lerch
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-18
Latest Update: 2020-02-12
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) . The evolution is based on the 'GA' package: Scrucca, L. (2013) while the Gaussian Mixture Logic stems from 'AdaptGauss': Ultsch, A, et al. (2015) .
How to cite:
Florian Lerch (2019). DistributionOptimization: Distribution Optimization. R package version 1.2.6, https://cran.r-project.org/web/packages/DistributionOptimization. Accessed 26 Jun. 2026.
Other packages that cited DistributionOptimization R package
View DistributionOptimization citation profile
Other R packages that DistributionOptimization depends,
imports, suggests or enhances
Complete documentation for DistributionOptimization
Functions, R codes and Examples using
the DistributionOptimization R package
Some associated functions: BinProb4Mixtures . DistributionOptimization-package . DistributionOptimization . MixedDistributionError . OverlapErrorByDensity .
Some associated R codes: BinProb4Mixtures.R . DistributionOptimization.R . MixedDistributionError.R . OverlapErrorByDensity.R . Full DistributionOptimization package functions and examples
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