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.
- Version0.1.6
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release02/06/2020
Documentation
Team
Wenchuan Guo
Shujie Ma
Zhenqiu Liu
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