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 randomForests, written by Andy Liaw.
| Version: | 0.2-3 |
| Depends: | randomForest |
| Imports: | stats, graphics, grDevices |
| Published: | 2012-06-01 |
| Author: | Nicolai Meinshausen |
| Maintainer: | Nicolai Meinshausen <meinshausen at stats.ox.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | http://www.stats.ox.ac.uk/~meinshau/ |
| NeedsCompilation: | yes |
| In views: | MachineLearning |
| CRAN checks: | quantregForest results |
| Reference manual: | quantregForest.pdf |
| Package source: | quantregForest_0.2-3.tar.gz |
| Windows binaries: | r-devel: quantregForest_0.2-3.zip, r-release: quantregForest_0.2-3.zip, r-oldrel: quantregForest_0.2-3.zip |
| OS X Snow Leopard binaries: | r-release: quantregForest_0.2-3.tgz, r-oldrel: quantregForest_0.2-3.tgz |
| OS X Mavericks binaries: | r-release: quantregForest_0.2-3.tgz |
| Old sources: | quantregForest archive |
| Reverse suggests: | fscaret, GSIF |