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ranger  

A Fast Implementation of Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ranger", "0.18.0")



Attach the package and use:
library("ranger")
Maintained by
Marvin N. Wright
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-28
Latest Update: 2024-11-08
Description:
A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed.
How to cite:
Marvin N. Wright (2015). ranger: A Fast Implementation of Random Forests. R package version 0.18.0, https://cran.r-project.org/web/packages/ranger. Accessed 27 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:48), 0.2.6 (2015-07-28 22:59), 0.2.7 (2015-07-29 10:44), 0.3.0 (2015-11-10 18:15), 0.4.0 (2016-04-07 18:27), 0.5.0 (2016-06-24 09:53), 0.6.0 (2016-10-07 18:10), 0.7.0 (2017-03-31 18:19), 0.8.0 (2017-06-20 17:36), 0.9.0 (2018-01-09 16:08), 0.10.0 (2018-05-29 18:28), 0.10.1 (2018-06-04 11:27), 0.11.0 (2019-01-21 14:10), 0.11.1 (2019-01-24 14:50), 0.11.2 (2019-03-07 15:10), 0.12.0 (2020-01-09 19:30), 0.12.1 (2020-01-10 18:50), 0.13.1 (2021-07-14 13:20), 0.14.1 (2022-06-18 15:30), 0.15.1 (2023-04-03 11:20), 0.16.0 (2023-11-12 21:13), 0.17.0 (2024-11-08 08:40)
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