Package: rare 0.1.1
Xiaohan Yan
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:
rare_0.1.1.tar.gz
rare_0.1.1.tar.gz(r-4.5-noble)rare_0.1.1.tar.gz(r-4.4-noble)
rare_0.1.1.tgz(r-4.4-emscripten)rare_0.1.1.tgz(r-4.3-emscripten)
rare.pdf |rare.html✨
rare/json (API)
| # Install 'rare' in R: |
| install.packages('rare', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yanxht/rare/issues
- data.dtm - Document-term matrix for adjectives in TripAdvisor hotel reviews
- data.hc - Hierarchical clustering tree for adjectives in TripAdvisor data set
- data.rating - TripAdvisor hotel review ratings
Last updated 6 years agofrom:f701d3d5d2. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 22 2024 |
| R-4.5-linux-x86_64 | OK | Dec 22 2024 |
Exports:find.leavesgroup.plotgroup.recoverrarefitrarefit.cvrarefit.predicttree.matrix
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppArmadilloRcppEigenshapesurvival
