dpGMM
Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D and 2D Data
v1.0.0
·
Mar 2, 2026
·
GPL-3
Description
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>.
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| r-devel-linux-x86_64-debian-clang | OK |
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| r-devel-linux-x86_64-fedora-gcc | OK |
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| r-oldrel-windows-x86_64 | OK |
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| r-release-linux-x86_64 | OK |
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| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
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1.0.0
Mar 10, 2026