quantregForest (version 1.3-7)

Quantile Regression Forests

Description

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.

Copy Link

Version

Down Chevron

Install

install.packages('quantregForest')

Monthly Downloads

1,777

Version

1.3-7

License

GPL

Issues

Pull Requests

Stars

Forks

Maintainer

Last Published

December 19th, 2017

Functions in quantregForest (1.3-7)