liqun730/gMIC: Group Sparsity via Approximated Information Criteria
This package implements a group variable selection method by minimizing a smoothed approximation of the information criterion. The gMIC algorithm is free of penalization parameter tuning.
Getting started
Browse package contents
Package details |
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| Author | Liqun Yu, Xiaogang Su, Nan Lin |
| Maintainer | Liqun Yu <yuliqun88@gmail.com> |
| License | GPL-2 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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