Package: opGMMassessment
Type: Package
Title: Optimized Automated Gaussian Mixture Assessment
Version: 0.4
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@em.uni-frankfurt.de>
Description: 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>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: AdaptGauss, DataVisualizations, DistributionOptimization,
        cluster, mixtools, grDevices, methods, foreach, stats, utils,
        rlang, ggplot2, parallel, caTools, dplyr, mclust, mixAK,
        multimode, NbClust, ClusterR, doParallel
NeedsCompilation: no
Packaged: 2024-04-14 16:45:18 UTC; joern
Repository: CRAN
Date/Publication: 2024-04-14 17:10:02 UTC
Built: R 4.4.3; ; 2025-10-21 15:38:59 UTC; windows
