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randomForestSRC (version 1.2)

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

1.2

License

GPL (>= 3)

Maintainer

Udaya Kogalur

Last Published

April 30th, 2013

Functions in randomForestSRC (1.2)

find.interaction

Find Interactions Between Pairs of Variables

breast

Wisconsin Prognostic Breast Cancer Data

plot.survival

Plot of Survival Estimates

max.subtree

Acquire Maximal Subtree Information

plot.rfsrc

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

Hodgkin's Disease

pbc

Primary Biliary Cirrhosis (PBC) Data

van de Vijver Microarray Breast Cancer

plot.competing.risk

Plots for Competing Risks

rf2rfz

Save RF-SRC in .rfz Compressed Format

print.rfsrc

Print Summary Output of a RF-SRC Analysis

wihs

Women's Interagency HIV Study (WIHS)

veteran

Veteran's Administration Lung Cancer Trial

follic

Follicular Cell Lymphoma

rfsrc

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

plot.variable

Plot Marginal Effect of Variables

vimp

VIMP for Single or Grouped Variables

randomForestSRC-package

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

restore

Restoration for Random Forests for Survival, Regression, and Classification

var.select

Variable Selection

predict.rfsrc

Prediction for Random Forests for Survival, Regression, and Classification