Package: randomForestSRC
Version: 2.6.1
Date: 2018-05-17
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, RCurl
Description: A unified treatment of Breiman's random forests for survival, regression and classification problems based on Ishwaran and Kogalur's random survival forests (RSF) package.  Now extended to include multivariate and unsupervised forests.  Also includes quantile regression forests for univariate and multivariate training/testing settings.  The package runs in both serial and parallel (OpenMP) modes. 
License: GPL (>= 3)
URL: http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com
        https://github.com/kogalur/randomForestSRC
NeedsCompilation: yes
Packaged: 2018-05-18 02:12:12 UTC; kogalur
Repository: CRAN
Date/Publication: 2018-05-18 12:42:16 UTC
Built: R 3.4.1; x86_64-w64-mingw32; 2018-08-07 15:25:17 UTC; windows
Archs: x64
