randomForestSRC: Random Forests for Survival, Regression, and Classification (RF-SRC)

Fast OpenMP parallel processing for Breiman's random forests for survival, competing risks, regression and classification based on Ishwaran and Kogalur's popular random survival forests (RSF) package. Handles missing data and now includes multivariate, unsupervised forests and quantile regression. New fast interface using subsampling.

Getting started

Package details

AuthorHemant Ishwaran <[email protected]>, Udaya B. Kogalur <[email protected]>
MaintainerUdaya B. Kogalur <[email protected]>
LicenseGPL (>= 3)
Version2.7.0
URL http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com https://github.com/kogalur/randomForestSRC
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("randomForestSRC")

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randomForestSRC documentation built on Aug. 18, 2018, 1:04 a.m.