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.
Version: |
0.3.2 |
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: |
2022-05-27 |
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 |
Materials: |
README |
CRAN checks: |
opGMMassessment results |