Package: rare 0.1.1
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:
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rare.pdf |rare.html✨
rare/json (API)
# Install 'rare' in R: |
install.packages('rare', repos = c('https://yanxht.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 3 years agofrom:93ce5266c9. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win-x86_64 | NOTE | Nov 22 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 22 2024 |
R-4.4-win-x86_64 | NOTE | Nov 22 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 22 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 22 2024 |
R-4.3-win-x86_64 | NOTE | Nov 22 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 22 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 22 2024 |
Exports:find.leavesgroup.plotgroup.recoverrarefitrarefit.cvrarefit.predicttree.matrix
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppArmadilloRcppEigenshapesurvival