Package: tree 1.0-43
Brian Ripley
tree: Classification and Regression Trees
Classification and regression trees.
Authors:
tree_1.0-43.tar.gz
tree_1.0-43.tar.gz(r-4.5-noble)tree_1.0-43.tar.gz(r-4.4-noble)
tree_1.0-43.tgz(r-4.4-emscripten)tree_1.0-43.tgz(r-4.3-emscripten)
tree.pdf |tree.html✨
tree/json (API)
| # Install 'tree' in R: |
| install.packages('tree', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:5bef7b976d. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-linux-x86_64 | OK | Nov 01 2024 |
Exports:cv.treemisclass.treena.tree.replacepartition.treeplot.tree.sequenceprune.misclassprune.treesnip.treetile.treetreetree.controltree.screens
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cross-validation for Choosing Tree Complexity | cv.tree |
| Extract Deviance from a Tree Object | deviance.singlenode deviance.tree |
| Misclassifications by a Classification Tree | misclass.tree |
| Replace NAs in Predictor Variables | na.tree.replace |
| Plot the Partitions of a simple Tree Model | partition.tree |
| Plot a Tree Object | plot.tree |
| Plot a Tree Sequence | plot.tree.sequence |
| Predictions from a Fitted Tree Object | predict.tree |
| Cost-complexity Pruning of Tree Object | prune.misclass prune.tree |
| Snip Parts of Tree Objects | snip.tree |
| Annotate a Tree Plot | text.tree |
| Add Class Barcharts to a Classification Tree Plot | tile.tree |
| Fit a Classification or Regression Tree | print.summary.tree print.tree residuals.tree summary.tree tree |
| Select Parameters for Tree | tree.control |
| Split Screen for Plotting Trees | tree.screens |