Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.
Classification based on a forest of classification trees using random inputs.

Breiman's random forest for classification and regression
Classification and regression based on a forest of trees using random inputs.

Breiman and Cutler's random forests for classification and regression

Breiman and Cutler's random forests for classification and
regression
Fortran original by Leo Breiman and Adele Cutler, R port by
Andy Liaw and Matthew Wiener.
Classification and regression based on a forest of trees
using random inputs.

Breiman and Cutler's Random Forests for Classification and
Regression

Classification and regression based on a forest of trees using random inputs, based on Breiman (2001) <DOI:10.1023/A:1010933404324>.

Distributed 'randomForest' for Big Data using 'ddR' API
Vishrut Gupta, Arash Fard, Winston Li, Matthew Saltz
Distributed training and prediction of random forest models based upon 'randomForest' package.

ddR, stats, randomForest (>= 4.6-10), Matrix
Distributed training and prediction of random forest models based upon 'randomForest' package using 'ddR' (Distributed Data Structures) API in the 'ddR' package.

Explaining and Visualizing Random Forests in Terms of Variable
Importance
c(
person("Aleksandra", "Paluszynska", email = "ola.paluszynska@gmail.com", role = c("aut")),
person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut","ths")),
person("Yue", "Jiang", email = "rivehill@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9798-5517"))
)
A set of tools to help explain which variables are most important in a random forests. Various variable importance measures are calculated and visualized in different settings in order to get an idea on how their importance changes depending on our criteria (Hemant Ishwaran and Udaya B. Kogalur and Eiran Z. Gorodeski and Andy J. Minn and Michael S. Lauer (2010) <doi:10.1198/jasa.2009.tm08622>, Leo Breiman (2001) <doi:10.1023/A:1010933404324>).
Aleksandra Paluszynska [aut],
Przemyslaw Biecek [aut, ths],
Yue Jiang [aut, cre] (<https://orcid.org/0000-0002-9798-5517>)