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quantregForest  

Quantile Regression Forests
View on CRAN: Click here


Download and install quantregForest package within the R console
Install from CRAN:
install.packages("quantregForest")

Install from Github:
library("remotes")
install_github("cran/quantregForest")

Install by package version:
library("remotes")
install_version("quantregForest", "1.3-7.1")



Attach the package and use:
library("quantregForest")
Maintained by
Loris Michel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-02-08
Latest Update: 2024-10-07
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.
How to cite:
Loris Michel (2006). quantregForest: Quantile Regression Forests. R package version 1.3-7.1, https://cran.r-project.org/web/packages/quantregForest. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:46), 0.1-0 (2006-02-08 13:07), 0.2-0 (2006-12-15 18:56), 0.2-1 (2006-12-17 19:59), 0.2-2 (2007-03-15 07:49), 0.2-3 (2012-06-01 18:28), 1.0 (2015-06-03 18:23), 1.1 (2015-09-09 09:17), 1.2 (2016-03-23 00:54), 1.3-5 (2016-05-19 16:32), 1.3-6 (2017-11-14 19:07), 1.3-7.1 (2024-10-07 10:21), 1.3-7 (2017-12-19 21:23), 1.3 (2016-04-29 23:43)
Other packages that cited quantregForest R package
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Complete documentation for quantregForest
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