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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.

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Install

install.packages('quantregForest')

Monthly Downloads

1,886

Version

1.3-7

License

GPL

Issues

11

Pull Requests

2

Stars

30

Forks

7

Maintainer

Loris Michel

Last Published

December 19th, 2017

Functions in quantregForest (1.3-7)

predict.quantregForest

Prediction method for class quantregForest
quantregForest

Quantile Regression Forests