The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Gaussian mixture modeling of one- and two-dimensional data, provided in original or binned form, with an option to estimate the number of model components. The method uses Gaussian Mixture Models (GMM) with initial parameters determined by a dynamic programming algorithm, leading to stable and reproducible model fitting.
| Version: | 0.2.2 |
| Depends: | R (≥ 3.5), ggplot2, RColorBrewer, stats, pracma |
| Imports: | grDevices, ggpubr, Matrix, reshape2, graphics, methods, mvtnorm |
| Published: | 2026-01-15 |
| DOI: | 10.32614/CRAN.package.dpGMM |
| Author: | Michal Marczyk [aut, ctb], Kamila Szumala [aut, cre], Joanna Zyla [aut, ctb] |
| Maintainer: | Kamila Szumala <kamila.szumala at polsl.pl> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | dpGMM results |
| Reference manual: | dpGMM.html , dpGMM.pdf |
| Package source: | dpGMM_0.2.2.tar.gz |
| Windows binaries: | r-devel: dpGMM_0.2.2.zip, r-release: dpGMM_0.2.2.zip, r-oldrel: dpGMM_0.2.2.zip |
| macOS binaries: | r-release (arm64): dpGMM_0.2.2.tgz, r-oldrel (arm64): dpGMM_0.2.2.tgz, r-release (x86_64): dpGMM_0.2.2.tgz, r-oldrel (x86_64): dpGMM_0.2.2.tgz |
Please use the canonical form https://CRAN.R-project.org/package=dpGMM 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.
Health stats visible at Monitor.