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randomForestSRC (version 2.11.0)

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

Description

Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. 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. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.

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Version

Install

install.packages('randomForestSRC')

Monthly Downloads

6,551

Version

2.11.0

License

GPL (>= 3)

Issues

Pull Requests

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Maintainer

Udaya Kogalur

Last Published

March 31st, 2021

Functions in randomForestSRC (2.11.0)

impute.rfsrc

Impute Only Mode
find.interaction.rfsrc

Find Interactions Between Pairs of Variables
get.tree.rfsrc

Extract a Single Tree from a Forest and plot it on your browser
hd

Hodgkin's Disease
breast

Wisconsin Prognostic Breast Cancer Data
max.subtree.rfsrc

Acquire Maximal Subtree Information
housing

Ames Iowa Housing Data
imbalanced.rfsrc

Imbalanced Two Class Problems
follic

Follicular Cell Lymphoma
plot.subsample.rfsrc

Plot Subsampled VIMP Confidence Intervals
holdout.vimp.rfsrc

Hold out variable importance (VIMP)
partial.rfsrc

Acquire Partial Effect of a Variable
plot.quantreg.rfsrc

Plot Quantiles from Quantile Regression Forests
nutrigenomic

Nutrigenomic Study
plot.rfsrc

Plot Error Rate and Variable Importance from a RF-SRC analysis
plot.variable.rfsrc

Plot Marginal Effect of Variables
predict.rfsrc

Prediction for Random Forests for Survival, Regression, and Classification
rfsrc.news

Show the NEWS file
sidClustering.rfsrc

sidClustering using SID (Staggered Interaction Data) for Unsupervised Clustering
print.rfsrc

Print Summary Output of a RF-SRC Analysis
veteran

Veteran's Administration Lung Cancer Trial
quantreg.rfsrc

Quantile Regression Forests
vimp.rfsrc

VIMP for Single or Grouped Variables
vdv

van de Vijver Microarray Breast Cancer
plot.survival.rfsrc

Plot of Survival Estimates
var.select.rfsrc

Variable Selection
rfsrc

Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
stat.split.rfsrc

Acquire Split Statistic Information
randomForestSRC-package

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

Subsample Forests for VIMP Confidence Intervals
wine

White Wine Quality Data
pbc

Primary Biliary Cirrhosis (PBC) Data
wihs

Women's Interagency HIV Study (WIHS)
plot.competing.risk.rfsrc

Plots for Competing Risks
rfsrc.anonymous

Anonymous Random Forests
synthetic

Synthetic Random Forests
rfsrc.fast

Fast Random Forests
tune.rfsrc

Tune Random Forest for the optimal mtry and nodesize parameters