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quantregForest (version 0.2-2)

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 randomForests, written by Andy Liaw.

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Version

Install

install.packages('quantregForest')

Monthly Downloads

1,540

Version

0.2-2

License

GPL

Maintainer

Nicolai Meinshausen

Last Published

October 7th, 2024