Package: randomForestSRC
Version: 2.7.0
Date: 2018-08-17
Title: 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 (>= 3.1.0),
Imports: parallel
Suggests: glmnet, survival, pec, prodlim, mlbench, akima, caret
Description: Fast OpenMP parallel processing for 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 and quantile regression.  New fast interface using subsampling. 
License: GPL (>= 3)
URL: http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com
        https://github.com/kogalur/randomForestSRC
NeedsCompilation: yes
Packaged: 2018-08-17 21:36:42 UTC; kogalur
Repository: CRAN
Date/Publication: 2018-08-17 22:10:03 UTC
Built: R 3.5.1; x86_64-w64-mingw32; 2018-09-16 08:20:51 UTC; windows
Archs: x64
