Crandore Hub

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

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 dpGMM_1.0.0.tar.gz 176.6 KiB
1.0.0 rolling linux/noble R-4.5 dpGMM_1.0.0.tar.gz 176.5 KiB
1.0.0 rolling source/ R- dpGMM_1.0.0.tar.gz 565.0 KiB
1.0.0 latest linux/jammy R-4.5 dpGMM_1.0.0.tar.gz 176.6 KiB
1.0.0 latest linux/noble R-4.5 dpGMM_1.0.0.tar.gz 176.5 KiB
1.0.0 latest source/ R- dpGMM_1.0.0.tar.gz 565.0 KiB
1.0.0 2026-04-26 source/ R- dpGMM_1.0.0.tar.gz 565.0 KiB
1.0.0 2026-04-23 source/ R- dpGMM_1.0.0.tar.gz 565.0 KiB
1.0.0 2026-04-09 windows/windows R-4.5 dpGMM_1.0.0.zip 179.8 KiB

Dependencies (latest)

Depends

Imports