randomForestSRC v2.8.0


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

Fast OpenMP parallel processing for 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 and quantile regression. New fast interface using subsampling.

Functions in randomForestSRC

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


Date 2019-01-02
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 2019-01-02 15:40:12 UTC; kogalur
Repository CRAN
Date/Publication 2019-01-02 16:20:08 UTC

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