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l0ara: Sparse Generalized Linear Model with L0 Approximation for Feature Selection
Fits sparse generalized linear models using an adaptive ridge approximation to an L0 penalty. Supported model families include Gaussian, logistic, Poisson, gamma, and inverse Gaussian regression. The package also provides cross-validation for selecting the penalty parameter.
Getting started
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Package details |
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| Author | Wenchuan Guo [aut, cre], Shujie Ma [aut], Zhenqiu Liu [aut] |
| Maintainer | Wenchuan Guo <wguo1017@gmail.com> |
| License | GPL-2 |
| Version | 0.1.7 |
| Package repository | View on CRAN |
| Installation |
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