opGMMassessment: Optimized Automated Gaussian Mixture Assessment (original) (raw)
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 |
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