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

Fast OpenMP parallel computing of 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, quantile regression and solutions for class imbalanced data. New fast interface using subsampling and confidence regions for variable importance.

Getting started

Package details

AuthorHemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
MaintainerUdaya B. Kogalur <ubk@kogalur.com>
LicenseGPL (>= 3)
Version2.9.3
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 Jan. 21, 2020, 9:07 a.m.