Nothing
gglasso: Group Lasso Penalized Learning Using a Unified BMD Algorithm
A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) DOI: <doi:10.1007/s11222-014-9498-5>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Yi Yang [aut, cre] (http://www.math.mcgill.ca/yyang/), Hui Zou [aut] (http://users.stat.umn.edu/~zouxx019/), Sahir Bhatnagar [aut] (http://sahirbhatnagar.com/) |
| Maintainer | Yi Yang <yi.yang6@mcgill.ca> |
| License | GPL-2 |
| Version | 1.5 |
| URL | https://github.com/emeryyi/gglasso |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the gglasso package in your browser
Any scripts or data that you put into this service are public.
