quantregForest

Overview

Quantile Regression Forests is a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006). 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.

Installation

you can install the official version from CRAN using the command:

install.packages("quantregForest")

if you want to install the development version on github use:

install.packages("devtools")
devtools::install_github("lorismichel/quantregForest")

Issues

To report an issue, please use the issue tracker on github.com.