randomForestSRC

Random Forests for Survival, Regression, and Classification (RF-SRC)

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.

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Description file content

Package
randomForestSRC
Version
2.8.0
Date
2019-01-02
Title
Random Forests for Survival, Regression, and Classification (RF-SRC)
Author
Hemant Ishwaran , Udaya B. Kogalur
Maintainer
Udaya B. Kogalur
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
NeedsCompilation
yes
Packaged
2019-01-02 15:40:12 UTC; kogalur
Repository
CRAN
Date/Publication
2019-01-02 16:20:08 UTC

install.packages('randomForestSRC')

2.8.0

2 months ago

http://web.ccs.miami.edu/~hishwaran

Udaya B. Kogalur

GPL (>= 3)

Depends on

R (>= 3.1.0),

Imports

parallel

Suggests

glmnet, survival, pec, prodlim, mlbench, akima, caret

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