rare
Linear Model with Tree-Based Lasso Regularization for Rare Features
Implementation of an alternating direction method of multipliers algorithm for fitting a linear model with tree-based lasso regularization, which is proposed in Algorithm 1 of Yan and Bien (2018) doi:10.48550/arXiv.1803.06675. The package allows efficient model fitting on the entire 2-dimensional regularization path for large datasets. The complete set of functions also makes the entire process of tuning regularization parameters and visualizing results hassle-free.
- Version0.1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/03/2018
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Team
Xiaohan Yan
Jacob Bien
Show author detailsRolesAuthor, Maintainer
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- Imports3 packages
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- Linking To2 packages
- Reverse Imports1 package