CRAN/E | randomForestSRC

randomForestSRC

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

Installation

About

Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.

Citation randomForestSRC citation info
www.randomforestsrc.org/ https://ishwaran.org/
www.randomforestsrc.org/ https://ishwaran.org/
Bug report File report

Key Metrics

Version 3.2.3
R ≥ 3.6.0
Published 2023-12-06 114 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks randomForestSRC results

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Maintainer

Maintainer

Udaya B. Kogalur

ubk@kogalur.com

Authors

Hemant Ishwaran
Udaya B. Kogalur

Material

NEWS
Reference manual
Package source

In Views

HighPerformanceComputing
MachineLearning
Survival

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

randomForestSRC archive

Depends

R ≥ 3.6.0

Imports

parallel
data.tree
DiagrammeR

Suggests

survival
pec
prodlim
mlbench
interp
caret
imbalance
cluster

Reverse Depends

ggRandomForests

Reverse Imports

AutoScore
boostmtree
cjbart
CoxAIPW
fsMTS
precmed
ranktreeEnsemble
RISCA
SIMMS
survivalSL
SurvMetrics
tehtuner

Reverse Suggests

ClassifyR
familiar
LTRCforests
MachineShop
mlrCPO
PheCAP
riskRegression
survex

Reverse Enhances

pec