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
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: 2024-04-14
DOI: 10.32614/CRAN.package.opGMMassessment
Author: Jorn Lotsch [aut,cre] (<https://orcid.org/0000-0002-5818-6958>), Sebastian Malkusch [aut] (<https://orcid.org/0000-0001-6766-140X>), Martin Maechler [ctb], Peter Rousseeuw [ctb], Anja Struyf [ctb], Mia Hubert [ctb], Kurt Hornik [ctb]
Maintainer: Jorn Lotsch <j.lotsch at em.uni-frankfurt.de>
License: GPL-3
NeedsCompilation: no
Citation: opGMMassessment citation info
Materials: README
CRAN checks: opGMMassessment results


Reference manual: opGMMassessment.pdf


Package source: opGMMassessment_0.4.tar.gz
Windows binaries: r-devel: opGMMassessment_0.4.zip, r-release: opGMMassessment_0.4.zip, r-oldrel: opGMMassessment_0.4.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


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