randomForestSRC v2.9.3

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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 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.

Functions in randomForestSRC

Name Description
hd Hodgkin's Disease
imbalanced.rfsrc Imbalanced Two Class Problems
holdout.vimp.rfsrc Hold out variable importance (VIMP)
housing Ames Iowa Housing Data
find.interaction.rfsrc Find Interactions Between Pairs of Variables
follic Follicular Cell Lymphoma
breast Wisconsin Prognostic Breast Cancer Data
max.subtree.rfsrc Acquire Maximal Subtree Information
impute.rfsrc Impute Only Mode
nutrigenomic Nutrigenomic Study
partial.rfsrc Acquire Partial Effect of a Variable
pbc Primary Biliary Cirrhosis (PBC) Data
plot.variable.rfsrc Plot Marginal Effect of Variables
plot.survival.rfsrc Plot of Survival Estimates
plot.quantreg.rfsrc Plot Quantiles from Quantile Regression Forests
plot.competing.risk.rfsrc Plots for Competing Risks
plot.subsample.rfsrc Plot Subsampled VIMP Confidence Intervals
plot.rfsrc Plot Error Rate and Variable Importance from a RF-SRC analysis
print.rfsrc Print Summary Output of a RF-SRC Analysis
predict.rfsrc Prediction for Random Forests for Survival, Regression, and Classification
rfsrc.news Show the NEWS file
stat.split.rfsrc Acquire Split Statistic Information
tune.rfsrc Tune Random Forest for the optimal mtry and nodesize parameters
subsample.rfsrc Subsample Forests for VIMP Confidence Intervals
var.select.rfsrc Variable Selection
synthetic Synthetic Random Forests
veteran Veteran's Administration Lung Cancer Trial
randomForestSRC-package Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
vdv van de Vijver Microarray Breast Cancer
quantreg.rfsrc Quantile Regression Forests
wine White Wine Quality Data
vimp.rfsrc VIMP for Single or Grouped Variables
rfsrc Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
rfsrc.fast Fast Random Forests
wihs Women's Interagency HIV Study (WIHS)
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Details

Date 2020-01-20
BugReports https://github.com/kogalur/randomForestSRC/issues/new
License GPL (>= 3)
URL http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com https://github.com/kogalur/randomForestSRC
NeedsCompilation yes
Packaged 2020-01-21 01:22:09 UTC; kogalur
Repository CRAN
Date/Publication 2020-01-21 07:50:11 UTC

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