CRAN/E | quantregForest

quantregForest

Quantile Regression Forests

Installation

About

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.

github.com/lorismichel/quantregForest
Bug report File report

Key Metrics

Version 1.3-7
Published 2017-12-19 2319 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Loris Michel

michel@stat.math.ethz.ch

Authors

Nicolai Meinshausen

Material

Reference manual
Package source

In Views

MachineLearning

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

quantregForest archive

Depends

randomForest
RColorBrewer

Imports

stats
parallel

Suggests

gss
knitr
rmarkdown

Reverse Imports

CondIndTests
ConformalSmallest
ParallelDSM
soilassessment

Reverse Suggests

fscaret
ModelMap