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 |
| Reference manual: | rare.pdf |
| Vignettes: |
Using the rare package (source, R code) |
| Package source: | rare_0.1.2.tar.gz |
| Windows binaries: | r-devel: rare_0.1.2.zip, r-release: rare_0.1.1.zip, r-oldrel: rare_0.1.1.zip |
| macOS binaries: | r-release (arm64): rare_0.1.2.tgz, r-oldrel (arm64): rare_0.1.2.tgz, r-release (x86_64): rare_0.1.1.tgz, r-oldrel (x86_64): rare_0.1.1.tgz |
| Old sources: | rare archive |
| Reverse imports: | protoshiny |
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