README.md
In TaddyLab/gamlr: Gamma Lasso Regression
The Gamma Lasso
This package implements the gamma lasso algorithm for regularization paths corresponding to a range of non-convex cost functions between L0 and L1 norms. As much as possible, usage is analogous to that for the glmnet package (which does the same thing for penalization between L1 and L2 norms).
The CRAN page is at https://CRAN.R-project.org/package=gamlr.
If you use gamlr, please cite Taddy (2017), One-step estimator paths for concave regularization, Journal of Computational and Graphical Statistics.
TaddyLab/gamlr documentation built on April 17, 2023, 7:23 p.m.
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The Gamma Lasso
This package implements the gamma lasso algorithm for regularization paths corresponding to a range of non-convex cost functions between L0 and L1 norms. As much as possible, usage is analogous to that for the glmnet package (which does the same thing for penalization between L1 and L2 norms).
The CRAN page is at https://CRAN.R-project.org/package=gamlr.
If you use gamlr, please cite Taddy (2017), One-step estimator paths for concave regularization, Journal of Computational and Graphical Statistics.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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