Package: randomForestSRC
Version: 2.9.3
Date: 2020-01-20
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 (>= 3.5.0),
Imports: parallel
Suggests: survival, pec, prodlim, mlbench, akima, caret, imbalance
Description: 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.
License: GPL (>= 3)
URL: http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com
        https://github.com/kogalur/randomForestSRC
NeedsCompilation: yes
Packaged: 2020-01-21 01:22:09 UTC; kogalur
Repository: CRAN
Date/Publication: 2020-01-21 07:50:11 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 03:59:45 UTC; windows
Archs: i386, x64
