Optimized Automated Gaussian Mixture Assessment

Necessary functions for optimized automated evaluation of the number and parameters of Gaussian mixtures in one-dimensional data. Various methods are available for parameter estimation and for determining the number of modes in the mixture. A detailed description of the methods ca ben found in Lotsch, J., Malkusch, S. and A. Ultsch. (2022) .


Reference manual

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install.packages("opGMMassessment")

0.4.1 by Jorn Lotsch, 6 months ago


https://github.com/JornLotsch/opGMMassessment


Browse source code at https://github.com/cran/opGMMassessment


Authors: Jorn Lotsch [aut, cre] , Sebastian Malkusch [aut] (ORCID:


Documentation:   PDF Manual  


GPL-3 license


Imports AdaptGauss, DataVisualizations, DistributionOptimization, cluster, mixtools, grDevices, methods, foreach, stats, utils, rlang, ggplot2, parallel, caTools, dplyr, mclust, mixAK, multimode, NbClust, ClusterR, doParallel


Imported by EDOtrans.


See at CRAN