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randomForestSRC (version 1.5.4)

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

Description

A unified treatment of Breiman's random forests for survival, regression and classification problems based on Ishwaran and Kogalur's random survival forests (RSF) package. The package runs in both serial and parallel (OpenMP) modes.

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Version

Install

install.packages('randomForestSRC')

Monthly Downloads

6,551

Version

1.5.4

License

GPL (>= 3)

Maintainer

Udaya Kogalur

Last Published

July 14th, 2014

Functions in randomForestSRC (1.5.4)

plot.survival

Plot of Survival Estimates
plot.rfsrc

Plot Error Rate and Variable Importance from a RF-SRC analysis
plot.variable

Plot Marginal Effect of Variables
plot.competing.risk

Plots for Competing Risks
pbc

Primary Biliary Cirrhosis (PBC) Data
find.interaction

Find Interactions Between Pairs of Variables
predict.rfsrc

Prediction for Random Forests for Survival, Regression, and Classification
max.subtree

Acquire Maximal Subtree Information
rfsrc.news

Show the NEWS file
rf2rfz

Save RF-SRC in .rfz Compressed Format
impute.rfsrc

Impute Only Mode
veteran

Veteran's Administration Lung Cancer Trial
var.select

Variable Selection
vimp

VIMP for Single or Grouped Variables
hd

Hodgkin's Disease
print.rfsrc

Print Summary Output of a RF-SRC Analysis
wihs

Women's Interagency HIV Study (WIHS)
vdv

van de Vijver Microarray Breast Cancer
stat.split

Acquire Split Statistic Information
rfsrcSyn

Synthetic Random Forests
follic

Follicular Cell Lymphoma
rfsrc

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

Wisconsin Prognostic Breast Cancer Data
randomForestSRC-package

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