wguo1990/l0ara: Sparse Generalized Linear Model with L0 Approximation for Feature Selection
An efficient procedure for feature selection for generalized linear models with L0 penalty, including linear, logistic, Poisson, gamma, inverse Gaussian regression. Adaptive ridge algorithms are used to fit the models.
Getting started
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Package details |
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| Author | Wenchuan Guo, Shujie Ma, Zhenqiu Liu |
| Maintainer | Wenchuan Guo <wguo007@ucr.edu> |
| License | GPL-2 |
| Version | 0.1.5 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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