randomForestSRC

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

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.

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Description file content

Package
randomForestSRC
Version
2.9.1
Date
2019-07-08
Title
Fast Unified 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 (>= 3.5.0),
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
NeedsCompilation
yes
Packaged
2019-07-08 18:25:47 UTC; kogalur
Repository
CRAN
Date/Publication
2019-07-08 19:00:03 UTC

install.packages('randomForestSRC')

2.9.1

9 days ago

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

Udaya B. Kogalur

GPL (>= 3)

Depends on

R (>= 3.5.0),

Imports

parallel

Suggests

survival, pec, prodlim, mlbench, akima, caret, imbalance

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