randomForestSRC v2.7.0

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

Date 2018-08-17
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 2018-08-17 21:36:42 UTC; kogalur
Repository CRAN
Date/Publication 2018-08-17 22:10:03 UTC

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