hsong1/GTV: Graph-based regularization for regression problems with alignment and highly-correlated designs
Implementation of the algorithm for solving graph-based regularization problem for regression problems with alignment and highly-correlated designs. See Li et al. (2019) <arXiv:1803.07658>
Getting started
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Package details |
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| Author | Yuan Li, Benjamin Mark, Garvesh Raskutti, Rebecca Willett, Hyebin Song, and David Neiman |
| Maintainer | Hyebin Song <hsong56@wisc.edu> |
| License | |
| Version | 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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