Package: randomForestSRC
Version: 2.10.1
Date: 2021-02-09
Title: Fast Unified Random Forests for Survival, Regression, and
        Classification (RF-SRC)
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
BugReports: https://github.com/kogalur/randomForestSRC/issues/new
Depends: R (>= 3.6.0),
Imports: parallel, data.tree, DiagrammeR
Suggests: survival, pec, prodlim, mlbench, akima, caret, imbalance,
        cluster
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. 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 variable importance. Visualize trees on your Safari or Google Chrome browser.
License: GPL (>= 3)
URL: http://web.ccs.miami.edu/~hishwaran/
        https://github.com/kogalur/randomForestSRC/
NeedsCompilation: yes
Packaged: 2021-02-09 22:45:32 UTC; kogalur
Repository: CRAN
Date/Publication: 2021-02-10 15:00:10 UTC
Built: R 4.0.3; x86_64-w64-mingw32; 2021-02-10 18:44:22 UTC; windows
Archs: x64
