quantregForest: Quantile Regression Forests
Version 1.3-7

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.

Getting started

Package details

AuthorNicolai Meinshausen
Date of publication2017-12-19 20:23:39 UTC
MaintainerLoris Michel <[email protected]>
URL http://github.com/lorismichel/quantregForest
Package repositoryView on CRAN
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quantregForest documentation built on Dec. 23, 2017, 5:40 p.m.