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quantregForest (version 1.3-7.1)

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

2,058

Version

1.3-7.1

License

GPL

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Repository

https://github.com/lorismichel/quantregForest

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Last Published

October 7th, 2024

Functions in quantregForest (1.3-7.1)

predict.quantregForest

Prediction method for class quantregForest

Quantile Regression Forests