quantregForest

Quantile Regression Forests

v1.3-7.1 · Oct 7, 2024 · GPL

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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13 OK

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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	35.3s
r-devel-linux-x86_64-debian-gcc	OK	25.8s
r-devel-linux-x86_64-fedora-clang	OK	51s
r-devel-linux-x86_64-fedora-gcc	OK	51.7s
r-devel-windows-x86_64	OK	60s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	33s
r-oldrel-windows-x86_64	OK	69s
r-patched-linux-x86_64	OK	31.9s
r-release-linux-x86_64	OK
r-release-macos-arm64	OK	12s
r-release-macos-x86_64	OK	37s
r-release-windows-x86_64	OK	58s

Check History

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

Reverse Dependencies (11)

imports

ConformalSmallest HCPclust curvir geomod

suggests

ModelMap marginaleffects probably soilassessment tidyfit trtf vetiver

Dependency Network

Version History

14 tracked

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