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randomForestSRC (version 1.0.1)

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.

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Version

Install

install.packages('randomForestSRC')

Monthly Downloads

6,971

Version

1.0.1

License

GPL (>= 3)

Maintainer

Udaya B Kogalur

Last Published

November 13th, 2012

Functions in randomForestSRC (1.0.1)

max.subtree

Acquire Maximal Subtree Information
find.interaction

Find Interactions Between Pairs of Variables
breast

Wisconsin Prognostic Breast Cancer Data
impute.rfsrc

Impute Only Mode
follic

Follicular Cell Lymphoma
predict.rfsrc

Prediction for Random Forests for Survival, Regression, and Classification
restore

Restoration for Random Forests for Survival, Regression, and Classification
rfsrc.news

Show the NEWS file
veteran

Veteran's Administration Lung Cancer Trial
var.select

Variable Selection
vdv

van de Vijver Microarray Breast Cancer
vimp

VIMP for Single or Grouped Variables
pbc

Primary Biliary Cirrhosis (PBC) Data
hd

Hodgkin's Disease
plot.survival

Plot of Survival Estimates
print.rfsrc

Print Summary Output of a RF-SRC Analysis
plot.variable

Plot Marginal Effect of Variables
plot.rfsrc

Plot Error Rate and Variable Importance from a RF-SRC analysis
rf2rfz

Save RF-SRC in .rfz Compressed Format
wihs

Women's Interagency HIV Study (WIHS)
rfsrc

Random Forests for Survival, Regression, and Classification (RF-SRC)
plot.competing.risk

Plots for Competing Risks
randomForestSRC-package

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