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randomForestSRC (version 2.10.1)

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 variable importance. Visualize trees on your Safari or Google Chrome browser.

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Install

install.packages('randomForestSRC')

Monthly Downloads

6,551

Version

2.10.1

License

GPL (>= 3)

Issues

Pull Requests

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Maintainer

Udaya Kogalur

Last Published

February 10th, 2021

Functions in randomForestSRC (2.10.1)

breast

Wisconsin Prognostic Breast Cancer Data
follic

Follicular Cell Lymphoma
impute.rfsrc

Impute Only Mode
hd

Hodgkin's Disease
get.tree.rfsrc

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

Ames Iowa Housing Data
pbc

Primary Biliary Cirrhosis (PBC) Data
max.subtree.rfsrc

Acquire Maximal Subtree Information
imbalanced.rfsrc

Imbalanced Two Class Problems
holdout.vimp.rfsrc

Hold out variable importance (VIMP)
find.interaction.rfsrc

Find Interactions Between Pairs of Variables
plot.quantreg.rfsrc

Plot Quantiles from Quantile Regression Forests
plot.survival.rfsrc

Plot of Survival Estimates
plot.subsample.rfsrc

Plot Subsampled VIMP Confidence Intervals
plot.variable.rfsrc

Plot Marginal Effect of Variables
predict.rfsrc

Prediction for Random Forests for Survival, Regression, and Classification
plot.competing.risk.rfsrc

Plots for Competing Risks
stat.split.rfsrc

Acquire Split Statistic Information
plot.rfsrc

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

Show the NEWS file
sidClustering.rfsrc

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

Fast Random Forests
wihs

Women's Interagency HIV Study (WIHS)
subsample.rfsrc

Subsample Forests for VIMP Confidence Intervals
synthetic

Synthetic Random Forests
vimp.rfsrc

VIMP for Single or Grouped Variables
randomForestSRC-package

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

Nutrigenomic Study
vdv

van de Vijver Microarray Breast Cancer
rfsrc

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

Acquire Partial Effect of a Variable
wine

White Wine Quality Data
print.rfsrc

Print Summary Output of a RF-SRC Analysis
veteran

Veteran's Administration Lung Cancer Trial
quantreg.rfsrc

Quantile Regression Forests
tune.rfsrc

Tune Random Forest for the optimal mtry and nodesize parameters
var.select.rfsrc

Variable Selection