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 |