Package: rare 0.1.1

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) <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.

Authors:Xiaohan Yan [aut, cre], Jacob Bien [aut, cre]

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rare/json (API)

Peer review:

Bug tracker:https://github.com/yanxht/rare/issues

On CRAN:

7 exports 10 stars 1.86 score 11 dependencies 1 dependents 1 mentions 13 scripts 171 downloads

Last updated 3 years agofrom:93ce5266c9. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:find.leavesgroup.plotgroup.recoverrarefitrarefit.cvrarefit.predicttree.matrix

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppArmadilloRcppEigenshapesurvival