glinternet

cranv1.0.12

Learning Interactions via Hierarchical Group-Lasso Regularization. Group-Lasso INTERaction-NET. Fits linear pairwise-interaction models that satisfy strong hierarchy: if an interaction coefficient is estimated to be nonzero, then its two associated main effects also have nonzero estimated coefficients. Accommodates categorical variables (factors) with arbitrary num

License GPL-2strong copyleft0 versions1 maintainers0 deps288 weekly dl
https://CRAN.R-project.org/package=glinternet
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  • Low health score (39/100)
Health breakdown0 – 100
0/25
maintenance
3/20
popularity
25/25
security
9/15
maturity
2/15
community
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0
none known

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First published · 2021-09-03 06:08:37

Last updated · 2021-09-03T03:50:42+00:00

glinternet — Health Score 39/100 | DepScope