randomForestSRC
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
- https://www.randomforestsrc.org/
- https://ishwaran.org/
- File a bug report
- randomForestSRC results
- randomForestSRC.pdf
- Version3.4.1
- R versionR (≥ 4.3.0)
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- randomForestSRC citation info
- Last release06/08/2025
Documentation
Team
Udaya B. Kogalur
MaintainerShow author detailsHemant Ishwaran
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Dependencies
- Imports2 packages
- Suggests10 packages
- Reverse Depends1 package
- Reverse Imports10 packages
- Reverse Suggests9 packages
- Reverse Enhances1 package