Package: randomForestSRC
Version: 3.6.1
Date: 2026-04-10
Title: Fast Unified Random Forests for Survival, Regression, and
        Classification (RF-SRC)
Authors@R: c(person("Hemant", "Ishwaran", email = "hemant.ishwaran@gmail.com", role = "aut"),
    person("Udaya B.", "Kogalur", email = "ubk@kogalur.com", role = c("aut", "cre")))
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
BugReports: https://github.com/kogalur/randomForestSRC/issues/
Depends: R (>= 4.3.0),
Imports: parallel, data.tree, DiagrammeR
Suggests: survival, pec, prodlim, mlbench, interp, caret, cluster, fst,
        data.table
SystemRequirements: OpenMP
Description: 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.
License: GPL (>=3)
URL: https://www.randomforestsrc.org/ https://ishwaran.org/
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libx11-dev
Repository: https://kogalur.r-universe.dev
Date/Publication: 2026-04-10 13:03:52 UTC
RemoteUrl: https://github.com/kogalur/randomforestsrc
RemoteRef: HEAD
RemoteSha: 62e9d88bbc42d000d5a51f0b988cd2eac9ad6233
NeedsCompilation: yes
Packaged: 2026-04-10 14:24:23 UTC; root