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: 6.1.0
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/yanxht/rare
BugReports: https://github.com/yanxht/rare/issues
NeedsCompilation: yes
Packaged: 2018-08-03 14:45:47 UTC; xy257
Repository: CRAN
Date/Publication: 2018-08-03 16:50:09 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 05:30:42 UTC; windows
Archs: i386, x64
