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randomForestSRC (version 1.6.0)

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

6,435

Version

1.6.0

License

GPL (>= 3)

Maintainer

Udaya Kogalur

Last Published

January 12th, 2015

Functions in randomForestSRC (1.6.0)

predict.rfsrc

Prediction for Random Forests for Survival, Regression, and Classification
find.interaction

Find Interactions Between Pairs of Variables
follic

Follicular Cell Lymphoma
hd

Hodgkin's Disease
impute.rfsrc

Impute Only Mode
plot.survival

Plot of Survival Estimates
vdv

van de Vijver Microarray Breast Cancer
plot.competing.risk

Plots for Competing Risks
plot.rfsrc

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

Women's Interagency HIV Study (WIHS)
rfsrcSyn

Synthetic Random Forests
rfsrc.news

Show the NEWS file
veteran

Veteran's Administration Lung Cancer Trial
stat.split

Acquire Split Statistic Information
pbc

Primary Biliary Cirrhosis (PBC) Data
randomForestSRC-package

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

VIMP for Single or Grouped Variables
max.subtree

Acquire Maximal Subtree Information
rfsrc

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

Variable Selection
rf2rfz

Save RF-SRC in .rfz Compressed Format
breast

Wisconsin Prognostic Breast Cancer Data
plot.variable

Plot Marginal Effect of Variables
print.rfsrc

Print Summary Output of a RF-SRC Analysis