ranger: A Fast Implementation of Random Forests
Version 0.10.1

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]
Date of publication2018-06-04 09:27:54 UTC
MaintainerMarvin N. Wright <[email protected]>
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:

Try the ranger package in your browser

Any scripts or data that you put into this service are public.

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