Other packages > Find by keyword >

Explore topics

By keyword . Oldest R packages . Newest R packages . Top downloaded R packages . Datasets . Archived R packages . Top downloaded last week . Top downloaded yesterday

randomForest

Star Watch Copy Code

Breiman and Cutlers Random Forests for Classification and Regression

View on CRAN: Click here

Download and install randomForest package within the R console
Install from CRAN:

 install.packages("randomForest")

Install from Github:

 library("remotes")

                        install_github("cran/randomForest")

Install by package version:

 library("remotes")

                        install_version("randomForest", "4.7-1.2")

Attach the package and use:

 library("randomForest")

Maintained by
Andy Liaw
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2002-04-01

Latest Update: 2024-09-22

Description:

Classification and regression based on a forest of trees using random inputs, based on Breiman (2001) .

How to cite:

Andy Liaw (2002). randomForest: Breiman and Cutlers Random Forests for Classification and Regression. R package version 4.7-1.2, https://cran.r-project.org/web/packages/randomForest. Accessed 10 Nov. 2026.

Previous versions and publish date:

(2026-07-09 06:48), 1.0 (2002-04-01 18:34), 3.3-2 (2002-08-28 16:16), 3.3-4 (2002-09-26 22:18), 3.3-6 (2002-10-04 08:52), 3.3-7 (2002-10-05 11:50), 3.3-8 (2002-10-12 12:12), 3.4-1 (2002-12-17 15:41), 3.4-4 (2003-02-03 16:36), 3.4-5 (2003-04-22 18:18), 3.9-6 (2003-04-30 08:04), 4.0-1 (2003-10-15 19:41), 4.0-7 (2004-01-10 00:35), 4.3-0 (2004-07-08 12:34), 4.3-2 (2004-09-14 10:20), 4.3-3 (2004-09-15 09:22), 4.4-1 (2004-10-21 10:13), 4.4-2 (2004-11-03 14:23), 4.5-1 (2004-12-04 15:07), 4.5-2 (2005-02-03 14:58), 4.5-4 (2005-03-04 08:23), 4.5-6 (2005-04-06 09:39), 4.5-7 (2005-04-06 17:41), 4.5-8 (2005-04-11 09:30), 4.5-9 (2005-05-03 09:28), 4.5-10 (2005-05-04 09:58), 4.5-11 (2005-05-21 10:21), 4.5-12 (2005-06-21 09:36), 4.5-15 (2005-09-22 19:35), 4.5-16 (2006-01-24 10:21), 4.5-18 (2006-12-10 16:07), 4.5-19 (2007-10-16 20:38), 4.5-20 (2007-11-21 17:39), 4.5-21 (2007-11-28 14:54), 4.5-22 (2007-12-06 08:56), 4.5-23 (2008-01-23 09:46), 4.5-24 (2008-04-18 09:11), 4.5-25 (2008-04-22 09:36), 4.5-26 (2008-09-12 20:45), 4.5-27 (2008-09-12 22:41), 4.5-28 (2008-10-17 10:28), 4.5-30 (2009-02-26 22:15), 4.5-31 (2009-10-15 17:14), 4.5-32 (2009-10-16 16:05), 4.5-33 (2009-10-18 11:20), 4.5-34 (2009-12-06 10:22), 4.5-35 (2010-06-21 10:03), 4.5-36 (2010-07-25 13:06), 4.6-1 (2010-12-18 10:21), 4.6-2 (2010-12-20 16:19), 4.6-3 (2011-12-16 20:08), 4.6-4 (2011-12-20 17:42), 4.6-5 (2012-01-04 18:18), 4.6-6 (2012-01-06 21:58), 4.6-7 (2012-10-16 15:43), 4.6-10 (2014-07-17 15:53), 4.6-12 (2015-10-07 08:38), 4.6-14 (2018-03-25 17:00), 4.7-1.1 (2022-05-23 10:27), 4.7-1 (2022-02-03 08:50)

Other packages that cited randomForest R package

View randomForest citation profile

Other R packages that randomForest depends, imports, suggests or enhances

View randomForest dependency map

Complete documentation for randomForest

View documentation PDF

Functions, R codes and Examples using the randomForest R package

Some associated functions: MDSplot . classCenter . combine . getTree . grow . importance . imports85 . margin . na.roughfix . outlier . partialPlot . plot.randomForest . predict.randomForest . randomForest . rfImpute . rfNews . rfcv . treesize . tuneRF . varImpPlot . varUsed .
Some associated R codes: MDSplot.R . classCenter.R . combine.R . getTree.R . grow.R . importance.R . margin.R . na.roughfix.R . outlier.R . partialPlot.R . plot.randomForest.R . predict.randomForest.R . print.randomForest.R . randomForest.R . randomForest.default.R . randomForest.formula.R . rfImpute.R . rfNews.R . rfcv.R . treesize.R . tuneRF.R . varImpPlot.R . varUsed.R . zzz.R . Full randomForest package functions and examples

Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

MazamaSpatialUtils

Spatial Data Download and Utility Functions

A suite of conversion functions to create internally standardized spatial polygons data frames. Uti ...
Download / Learn more Package Citations See dependency

Maintainer: Jonathan Callahan (view profile)

OBIC

Calculate the Open Bodem Index (OBI) Score

The Open Bodem Index (OBI) is a method to evaluate the quality of soils of agricultural fields in Th ...
Download / Learn more Package Citations See dependency

Maintainer: Sven Verweij (view profile)

CNLTtsa

Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis

Implementations of recent complex-valued wavelet spectral procedures for analysis of irregularly sam ...
Download / Learn more Package Citations See dependency

Maintainer: Matt Nunes (view profile)

rbooster

AdaBoost Framework for Any Classifier

This is a simple package which provides a function that boosts pre-ready or custom-made classifiers ...
Download / Learn more Package Citations See dependency

Maintainer: Fatih Saglam (view profile)

cosinor2

Extended Tools for Cosinor Analysis of Rhythms

Statistical procedures for calculating population ...
Download / Learn more Package Citations See dependency

Maintainer: Augustin Mutak (view profile)

nextGenShinyApps

Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools

Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency

Maintainer: Obinna Obianom (view profile)

❶

International-Harvard Statistical Consulting Company