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randomForestSRC (version 1.3)

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

1.3

License

GPL (>= 3)

Maintainer

Udaya Kogalur

Last Published

July 22nd, 2013

Functions in randomForestSRC (1.3)

find.interaction

Find Interactions Between Pairs of Variables

breast

Wisconsin Prognostic Breast Cancer Data

plot.variable

Plot Marginal Effect of Variables

plot.competing.risk

Plots for Competing Risks

randomForestSRC-package

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

max.subtree

Acquire Maximal Subtree Information

plot.survival

Plot of Survival Estimates

predict.rfsrc

Prediction for Random Forests for Survival, Regression, and Classification

vimp

VIMP for Single or Grouped Variables

veteran

Veteran's Administration Lung Cancer Trial

impute.rfsrc

Impute Only Mode

print.rfsrc

Print Summary Output of a RF-SRC Analysis

var.select

Variable Selection

vdv

van de Vijver Microarray Breast Cancer

follic

Follicular Cell Lymphoma

wihs

Women's Interagency HIV Study (WIHS)

rfsrc

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

rf2rfz

Save RF-SRC in .rfz Compressed Format

Primary Biliary Cirrhosis (PBC) Data

plot.rfsrc

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

restore

Restoration for Random Forests for Survival, Regression, and Classification