R: Linear Model with Tree-Based Lasso Regularization for Rare Features

# Linear Model with Tree-Based Lasso Regularization for Rare Features

## Documentation for package ‘rare’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

rare-package | Model path for tree-based lasso framework for selecting rare features
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
find.leaves | Find all descendant leaves of a node in an hclust tree
group.plot | Visualize groups by coloring branches and leaves of an hclust tree
group.recover | Recover aggregated groups of leaf indices
rarefit | Fit the rare feature selection model
rarefit.cv | Perform K-fold cross validation
rarefit.predict | Make predictions from a rarefit object and a rarefit.cv object
tree.matrix | Generate matrix A encoding ancestor-descendant relationships in an hclust tree