gmgm

cranv1.1.3

Gaussian Mixture Graphical Model Learning and Inference. Gaussian mixture graphical models include Bayesian networks and dynamic Bayesian networks (their temporal extension) whose local probability distributions are described by Gaussian mixture models. They are powerful tools for graphically and quantitatively representing nonlinear dependencies between

License GPL-3strong copyleft0 versions1 maintainers8 deps71 weekly dl
https://CRAN.R-project.org/package=gmgm
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20/25
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0/20
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25/25
security
0/15
maturity
2/15
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Dependencies (8)
dplyrggplot2purrrrlangstatsstringrtidyrvisNetwork
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First published · 2026-02-25 22:03:05

Last updated · 2026-02-25T20:40:03+00:00