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 |