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rare: Linear Model with Tree-Based Lasso Regularization for RareFeatures

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 (2020) <doi:10.1080/01621459.2020.1796677>. 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.

Version:0.1.2
Depends:R (≥ 3.2.1)
Imports:Matrix,glmnet,Rcpp
LinkingTo:Rcpp,RcppArmadillo
Suggests:knitr,dendextend,rmarkdown
Published:2025-06-16
DOI:10.32614/CRAN.package.rare
Author:Xiaohan Yan [aut, cre], Jacob Bien [aut]
Maintainer:Xiaohan Yan <xy257 at cornell.edu>
BugReports:https://github.com/yanxht/rare/issues
License:GPL-3
URL:https://github.com/yanxht/rare
NeedsCompilation:yes
Materials:README
CRAN checks:rare results

Documentation:

Reference manual:rare.html ,rare.pdf
Vignettes:Using the rare package (source,R code)

Downloads:

Package source: rare_0.1.2.tar.gz
Windows binaries: r-devel:rare_0.1.2.zip, r-release:rare_0.1.2.zip, r-oldrel:rare_0.1.2.zip
macOS binaries: r-release (arm64):rare_0.1.2.tgz, r-oldrel (arm64):rare_0.1.2.tgz, r-release (x86_64):rare_0.1.2.tgz, r-oldrel (x86_64):rare_0.1.2.tgz
Old sources: rare archive

Reverse dependencies:

Reverse imports:protoshiny

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=rareto link to this page.


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