The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| Reference manual: | opGMMassessment.pdf |
| Package source: | opGMMassessment_0.4.tar.gz |
| Windows binaries: | r-devel: opGMMassessment_0.4.zip, r-release: opGMMassessment_0.4.zip, r-oldrel: opGMMassessment_0.4.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
| Old sources: | opGMMassessment archive |
| Reverse imports: | EDOtrans |
Please use the canonical form https://CRAN.R-project.org/package=opGMMassessment to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.