opGMMassessment: 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) <doi:10.1016/j.imu.2022.101113>.

Version:	0.4.1
Depends:	R (≥ 3.5.0)
Imports:	AdaptGauss, DataVisualizations, DistributionOptimization, cluster, mixtools, grDevices, methods, foreach, stats, utils, rlang, ggplot2, parallel, caTools, dplyr, mclust, mixAK, multimode, NbClust, ClusterR, doParallel
Published:	2026-04-17
DOI:	10.32614/CRAN.package.opGMMassessment
Author:	Jorn Lotsch [aut, cre], Sebastian Malkusch [aut]
Maintainer:	Jorn Lotsch <j.lotsch at em.uni-frankfurt.de>
License:	GPL-3
URL:	https://github.com/JornLotsch/opGMMassessment
NeedsCompilation:	no
Citation:	opGMMassessment citation info
CRAN checks:	opGMMassessment results

Documentation:

Reference manual:

opGMMassessment.html , opGMMassessment.pdf

Downloads:

Package source:	opGMMassessment_0.4.1.tar.gz
Windows binaries:	r-devel: opGMMassessment_0.4.zip, r-release: opGMMassessment_0.4.zip, r-oldrel: opGMMassessment_0.4.1.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources:	opGMMassessment archive

Reverse dependencies:

Reverse imports:

EDOtrans

Linking:

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