dpGMM
Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D and 2D Data
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. For more details see Zyla, J., Szumala, K., Polanski, A., Polanska, J., & Marczyk, M. (2026) <doi:10.1016/j.jocs.2026.102811>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
2026-04-09 windows/windows R-4.5 | dpGMM_1.0.0.zip |
179.8 KiB |