A unified treatment of Breiman's random forests for survival, regression and classification problems based on Ishwaran and Kogalur's random survival forests (RSF) package. The package runs in both serial and parallel (OpenMP) modes. Now extended to include multivariate and unsupervised forests.
Version: | 2.2.0 |
Depends: | R (≥ 3.1.0) |
Imports: | parallel |
Suggests: | glmnet, XML, survival, pec, prodlim, Hmisc, mlbench |
Published: | 2016-05-17 |
Author: | Hemant Ishwaran, Udaya B. Kogalur |
Maintainer: | Udaya B. Kogalur <ubk at kogalur.com> |
BugReports: | NA |
License: | GPL (≥ 3) |
URL: | http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com |
NeedsCompilation: | yes |
Citation: | randomForestSRC citation info |
Materials: | NEWS |
In views: | HighPerformanceComputing, MachineLearning, Survival |
CRAN checks: | randomForestSRC results |
Reference manual: | randomForestSRC.pdf |
Package source: | randomForestSRC_2.2.0.tar.gz |
Windows binaries: | r-devel: randomForestSRC_2.2.0.zip, r-release: randomForestSRC_2.2.0.zip, r-oldrel: randomForestSRC_2.2.0.zip |
OS X Mavericks binaries: | r-release: randomForestSRC_2.2.0.tgz, r-oldrel: randomForestSRC_2.2.0.tgz |
Old sources: | randomForestSRC archive |
Reverse imports: | boostmtree, ggRandomForests, riskRegression, sprinter, SurvRank |
Reverse suggests: | CFC, mlr, ModelGood, pec, pmml |