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 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

Downloads:

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 dependencies:

Reverse imports: GSIF
Reverse suggests: fscaret