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randomForestSRC (version 1.6.1)

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. The package runs in both serial and parallel (OpenMP) modes.

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Version

Install

install.packages('randomForestSRC')

Monthly Downloads

5,081

Version

1.6.1

License

GPL (>= 3)

Maintainer

Udaya Kogalur

Last Published

March 4th, 2015

Functions in randomForestSRC (1.6.1)

max.subtree

Acquire Maximal Subtree Information
impute.rfsrc

Impute Only Mode
hd

Hodgkin's Disease
breast

Wisconsin Prognostic Breast Cancer Data
vdv

van de Vijver Microarray Breast Cancer
find.interaction

Find Interactions Between Pairs of Variables
plot.competing.risk

Plots for Competing Risks
var.select

Variable Selection
veteran

Veteran's Administration Lung Cancer Trial
follic

Follicular Cell Lymphoma
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
wihs

Women's Interagency HIV Study (WIHS)
pbc

Primary Biliary Cirrhosis (PBC) Data
stat.split

Acquire Split Statistic Information
plot.variable

Plot Marginal Effect of Variables
vimp

VIMP for Single or Grouped Variables
rf2rfz

Save RF-SRC in .rfz Compressed Format
plot.survival

Plot of Survival Estimates
rfsrcSyn

Synthetic Random Forests
rfsrc.news

Show the NEWS file
rfsrc

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

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