ranger: A Fast Implementation of Random Forests

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.

Getting started

Package details

AuthorMarvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb]
MaintainerMarvin N. Wright <[email protected]>
LicenseGPL-3
Version0.10.1
URL https://github.com/imbs-hl/ranger
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ranger")

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ranger documentation built on June 4, 2018, 5:04 p.m.