L0ggm

cranv0.0.1

Smooth L0 Penalty Approximations for Gaussian Graphical Models. Provides smooth approximations to the L0 norm penalty for estimating sparse Gaussian graphical models (GGMs). Network estimation is performed using the Local Linear Approximation (LLA) framework (Fan & Li, 2001 <doi:10.1198/016214501753382273>; Zou & Li, 2008 <doi:10.1214/009053607000000802>) with f

License AGPL (>= 3.0)0 versions1 maintainers7 deps123 weekly dl
https://CRAN.R-project.org/package=L0ggm
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Health breakdown0 – 100
20/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
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0
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Dependencies (7)
igraphglassoglassoFastMatrixmethodspsychstats
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First published · 2026-03-26 09:42:40

Last updated · 2026-03-26T08:30:27+00:00