DESCRIPTION

Package: rare
Type: Package
Title: Linear Model with Tree-Based Lasso Regularization 
       for Rare Features
Version: 0.1.1
Author: Xiaohan Yan [aut, cre], Jacob Bien [aut, cre]
Maintainer: Xiaohan Yan <xy257@cornell.edu>
Description: 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.
Depends:
    R (>= 3.2.1)
Imports:
    Matrix,
    glmnet,
    Rcpp
Suggests:
    knitr,
    dendextend,
    rmarkdown
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.2
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/yanxht/rare
BugReports: https://github.com/yanxht/rare/issues