grpreg
cranv3.6.0Regularization Paths for Regression Models with Grouped Covariates. Efficient algorithms for fitting the regularization path of linear regression, GLM, and Cox regression models with grouped penalties. This includes group selection methods such as group lasso, group MCP, and group SCAD as well as bi-level selection methods such as the group exponential lasso, the c
License GPL-3strong copyleft0 versions1 maintainers1 deps2,500 weekly dl
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curl https://depscope.dev/api/check/cran/grpregFirst published · 2026-03-26 14:09:43
Last updated · 2026-03-26T12:10:07+00:00