cran. To fix this you can add URL: https://cran.r-universe.dev/quantregForest to the package DESCRIPTION file. See also theR-universe documentation.Package: quantregForest 1.4-0
Nicolai Meinshausen
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_1.4-0.tar.gz
quantregForest_1.4-0.tar.gz(r-4.7-any)quantregForest_1.4-0.tar.gz(r-4.6-any)
quantregForest_1.4-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
quantregForest/json (API)
| # Install 'quantregForest' in R: |
| install.packages('quantregForest', 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 from:c5c83ef89a. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 113 | ||
| source / vignettes | OK | 199 | ||
| linux-release-x86_64 | OK | 106 | ||
| wasm-release | OK | 119 |
Exports:quantregForest
Dependencies:randomForest
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Prediction method for class quantregForest | predict.quantregForest |
| Quantile Regression Forests | quantregForest |
