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quantregForest : Quantile Regression Forests

Package: quantregForest
Type: Package
Title: Quantile Regression Forests
Version: 1.3-5
Date: 2016-05-19
Author: Nicolai Meinshausen
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Depends: randomForest, RColorBrewer
Imports: stats, parallel
Suggests: gss
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.
License: GPL
NeedsCompilation: yes
Packaged: 2016-05-19 11:58:11 UTC; nicolai
Repository: CRAN
Date/Publication: 2016-05-19 16:32:47

● Data Source: CranContrib
● Cran Task View: MachineLearning
● 0 images, 2 functions, 0 datasets
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