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.
| Version: | 1.3-5 |
| Depends: | randomForest, RColorBrewer |
| Imports: | stats, parallel |
| Suggests: | gss |
| Published: | 2016-05-19 |
| Author: | Nicolai Meinshausen |
| Maintainer: | Nicolai Meinshausen <meinshausen at stat.math.ethz.ch> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| In views: | MachineLearning |
| CRAN checks: | quantregForest results |
| Reference manual: | quantregForest.pdf |
| Package source: | quantregForest_1.3-5.tar.gz |
| Windows binaries: | r-devel: quantregForest_1.3-5.zip, r-release: quantregForest_1.3-5.zip, r-oldrel: quantregForest_1.3-5.zip |
| OS X El Capitan binaries: | r-release: quantregForest_1.3-5.tgz |
| OS X Mavericks binaries: | r-oldrel: quantregForest_1.3-5.tgz |
| Old sources: | quantregForest archive |
| Reverse imports: | CondIndTests |
| Reverse suggests: | fscaret, GSIF, ModelMap |
Please use the canonical form https://CRAN.R-project.org/package=quantregForest to link to this page.