cran. See also theR-universe documentation.Package: quantregForest 1.3-7.1
Loris Michel
quantregForest: Quantile Regression Forests
Quantile Regression Forests is a tree-based ensemble method for estimation of conditional quantiles. It is particularly well suited for high-dimensional data. Predictor variables of mixed classes can be handled. The package is dependent on the package 'randomForest', written by Andy Liaw.
Authors:
quantregForest_1.3-7.1.tar.gz
quantregForest_1.3-7.1.tar.gz(r-4.5-noble)quantregForest_1.3-7.1.tar.gz(r-4.4-noble)
quantregForest_1.3-7.1.tgz(r-4.4-emscripten)quantregForest_1.3-7.1.tgz(r-4.3-emscripten)
quantregForest.pdf |quantregForest.html✨
quantregForest/json (API)
| # Install 'quantregForest' in R: |
| install.packages('quantregForest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lorismichel/quantregforest/issues
Last updated 3 months agofrom:97c0590c1a. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 07 2024 |
| R-4.5-linux-x86_64 | OK | Dec 07 2024 |
Exports:quantregForest
Dependencies:randomForestRColorBrewer
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Prediction method for class quantregForest | predict.quantregForest |
| Quantile Regression Forests | quantregForest |
