Nothing
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
Browse package contents
Package details |
|
|---|---|
| Author | Wenchuan Guo, Shujie Ma, Zhenqiu Liu |
| Maintainer | Wenchuan Guo <wguo007@ucr.edu> |
| License | GPL-2 |
| Version | 0.1.6 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the l0ara package in your browser
Any scripts or data that you put into this service are public.
