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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 (may not be active yet) |
| 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: not available, r-release: not available, r-oldrel: not available |
| 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 |
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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.