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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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