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quantregForest

Quantile Regression Forests

v1.3-7.1 · Oct 7, 2024 · GPL
CRAN GitHub Mirror

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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14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (11)

imports

CondIndTests ConformalSmallest HCPclust curvir geomod

suggests

ModelMap marginaleffects probably tidyfit trtf vetiver

Dependency Network

Dependencies Reverse dependencies randomForest RColorBrewer CondIndTests ConformalSmallest HCPclust curvir geomod ModelMap marginaleffects probably tidyfit trtf vetiver quantregForest

Version History

new 1.3-7.1 Mar 10, 2026
updated 1.3-7.1 ← 1.3-7 diff Oct 6, 2024
updated 1.3-7 ← 1.3-6 diff Dec 18, 2017
updated 1.3-6 ← 1.3-5 diff Nov 13, 2017
updated 1.3-5 ← 1.3 diff May 18, 2016
updated 1.3 ← 1.2 diff Apr 28, 2016
updated 1.2 ← 1.1 diff Mar 22, 2016
updated 1.1 ← 1.0 diff Sep 8, 2015
updated 1.0 ← 0.2-3 diff Jun 2, 2015
updated 0.2-3 ← 0.2-2 diff May 31, 2012
updated 0.2-2 ← 0.2-1 diff Mar 14, 2007
updated 0.2-1 ← 0.2-0 diff Dec 16, 2006
updated 0.2-0 ← 0.1-0 diff Dec 14, 2006
new 0.1-0 Feb 7, 2006