randomForestSRC v2.10.1

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

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.

Functions in randomForestSRC

Name Description
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
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Details

Date 2021-02-09
BugReports https://github.com/kogalur/randomForestSRC/issues/new
License GPL (>= 3)
URL http://web.ccs.miami.edu/~hishwaran/ https://github.com/kogalur/randomForestSRC/
NeedsCompilation yes
Packaged 2021-02-09 22:45:32 UTC; kogalur
Repository CRAN
Date/Publication 2021-02-10 15:00:10 UTC

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