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randomForestSRC (version 2.10.1)

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

Description

Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout variable importance. Visualize trees on your Safari or Google Chrome browser.

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Version

Install

install.packages('randomForestSRC')

Monthly Downloads

6,551

Version

2.10.1

License

GPL (>= 3)

Issues

Pull Requests

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Repository

http://web.ccs.miami.edu/~hishwaran/ https://github.com/kogalur/randomForestSRC/

Maintainer

Udaya Kogalur

Last Published

February 10th, 2021

Functions in randomForestSRC (2.10.1)

Wisconsin Prognostic Breast Cancer Data

Follicular Cell Lymphoma

Impute Only Mode

Hodgkin's Disease

Extract a Single Tree from a Forest and plot it on your browser

Ames Iowa Housing Data

Primary Biliary Cirrhosis (PBC) Data

max.subtree.rfsrc

Acquire Maximal Subtree Information

imbalanced.rfsrc

Imbalanced Two Class Problems

holdout.vimp.rfsrc

Hold out variable importance (VIMP)

find.interaction.rfsrc

Find Interactions Between Pairs of Variables

plot.quantreg.rfsrc

Plot Quantiles from Quantile Regression Forests

plot.survival.rfsrc

Plot of Survival Estimates

plot.subsample.rfsrc

Plot Subsampled VIMP Confidence Intervals

plot.variable.rfsrc

Plot Marginal Effect of Variables

Prediction for Random Forests for Survival, Regression, and Classification

plot.competing.risk.rfsrc

Plots for Competing Risks

stat.split.rfsrc

Acquire Split Statistic Information

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

Show the NEWS file

sidClustering.rfsrc

sidClustering using SID (Staggered Interaction Data) for Unsupervised Clustering

Fast Random Forests

Women's Interagency HIV Study (WIHS)

subsample.rfsrc

Subsample Forests for VIMP Confidence Intervals

Synthetic Random Forests

VIMP for Single or Grouped Variables

randomForestSRC-package

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

Nutrigenomic Study

van de Vijver Microarray Breast Cancer

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

Acquire Partial Effect of a Variable

White Wine Quality Data

Print Summary Output of a RF-SRC Analysis

Veteran's Administration Lung Cancer Trial

Quantile Regression Forests

Tune Random Forest for the optimal mtry and nodesize parameters

var.select.rfsrc

Variable Selection