Package: LDATree 0.2.0.9000
LDATree: Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits
A classification tree method that uses Uncorrelated Linear Discriminant Analysis (ULDA) for variable selection, split determination, and model fitting in terminal nodes. It automatically handles missing values and offers visualization tools. For more details, see Wang (2024) <doi:10.48550/arXiv.2410.23147>.
Authors:
LDATree_0.2.0.9000.tar.gz
LDATree_0.2.0.9000.zip(r-4.5)LDATree_0.2.0.9000.zip(r-4.4)LDATree_0.2.0.9000.zip(r-4.3)
LDATree_0.2.0.9000.tgz(r-4.4-any)LDATree_0.2.0.9000.tgz(r-4.3-any)
LDATree_0.2.0.9000.tar.gz(r-4.5-noble)LDATree_0.2.0.9000.tar.gz(r-4.4-noble)
LDATree_0.2.0.9000.tgz(r-4.4-emscripten)LDATree_0.2.0.9000.tgz(r-4.3-emscripten)
LDATree.pdf |LDATree.html✨
LDATree/json (API)
NEWS
| # Install 'LDATree' in R: |
| install.packages('LDATree', repos = c('https://moran79.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/moran79/ldatree/issues
Last updated 6 days agofrom:0afee00ebd. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:Treee
Dependencies:base64encbslibcachemclicolorspacedigestevaluatefansifarverfastmapfoldafontawesomefsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsassscalestibbletinytexutf8vctrsviridisLitevisNetworkwithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plot a Treee Object | plot.Treee |
| Predictions From a Fitted Treee Object | predict.Treee |
| Classification Trees with Uncorrelated Linear Discriminant Analysis Terminal Nodes | Treee |
