randomForestSRC 2.0.0 is now available on CRAN. The package is able to handle multivariate regression (data sets in which the response is one or more continuous variables), multivariate classification (data sets in which the response is one or more factor variables), multivariate mixed (data sets in which the response is a combination of continuous and factor variables), survival, competing risk, and unsupervised forests (data sets in which no response is chosen).
The memory and CPU profiles for the package have improved. The package is OpenMP compliant on all popular platforms. Instructions for enabling this functionality is available in Rd files, and pre-compiled OpenMP binaries are also available at: http://www.ccs.miami.edu/~hishwaran/rfsrc.html. Linear gains in computation times have been observed on multi-core desktops and cluster environments using OpenMP. Finally, the ability to implement user defined split rules is now available. Instructions and examples for all families are provided in the package's src directory in splitCustom.c. Udaya B. Kogalur, Ph.D. Contract Staff, Dept. of Quantitative Health Sciences, Cleveland Clinic Foundation ubkoga...@gmail.com _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
