BGGM

cranv2.1.6

Bayesian Gaussian Graphical Models. Fit Bayesian Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing and estimation. There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability. These methods were recently in

License GPL-2strong copyleft0 versions1 maintainers15 deps150 weekly dl
https://CRAN.R-project.org/package=BGGM
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safe to use

[email protected] is safe to use (health: 45/100)

Health breakdown0 – 100
15/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known
⚠ Possible typosquat
Name is close to a popular package. Targets:
bigD (adjacent_swap_or_double dist 2)

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Dependencies (15)
BFpackGGallyggplot2ggridgesgrDevicesMASSmethodsmvnfastnetworkreshapeRcppRdpacksnastatsutils
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First published · 2025-12-02 07:52:27

Last updated · 2025-12-02T06:40:02+00:00