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

10.32614/CRAN.package.randomForest . randomForest citation info . randomForest results . randomForest.pdf . randomForest_4.7-1.2.tar.gz . randomForest_4.7-1.2.zip . randomForest_4.7-1.2.zip . randomForest_4.7-1.2.zip . randomForest_4.7-1.2.tgz . randomForest_4.7-1.2.tgz . randomForest_4.7-1.2.tgz . randomForest_4.7-1.2.tgz . randomForest_4.7-1.2.tgz . randomForest_4.7-1.2.tgz . randomForest archive . randomForestExplainer . randomForestVIP . https://CRAN.R-project.org/package=randomForest .

First Published: 2002-04-01

Latest Update: 2022-05-23

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 Apr. 2025.

Previous versions and publish date:

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

webglobe

3D Interactive Globes

Displays geospatial data on an interactive 3D globe in the web browser. ...
Download / Learn more Package Citations See dependency

Maintainer: Richard Barnes (view profile)

RODBC

ODBC Database Access

An ODBC database interface. ...
Download / Learn more Package Citations See dependency

Maintainer: Brian Ripley (view profile)

txtq

A Small Message Queue for Parallel Processes

This queue is a data structure that lets parallel processes send and receive messages, and it can he ...
Download / Learn more Package Citations See dependency

Maintainer: William Michael Landau (view profile)

r2resize

In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents

Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency

Maintainer: Obinna Obianom (view profile)

ecochange

Integrating Ecosystem Remote Sensing Products to Derive EBV Indicators

Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biolo ...
Download / Learn more Package Citations See dependency

Maintainer: Wilson Lara Henao (view profile)

GRNNs

General Regression Neural Networks Package

This General Regression Neural Networks Package uses various distance functions. It was motivated b ...
Download / Learn more Package Citations See dependency

Maintainer: Shufeng LI (view profile)