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

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

## Documentation for package ‘randomForestSRC’ version 3.7.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

randomForestSRC-package | Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
breast | Wisconsin Prognostic Breast Cancer Data
follic | Follicular Cell Lymphoma
get.auct.survival | Survival Prediction Performance and Diagnostic Plots
get.brier.survival | Survival Prediction Performance and Diagnostic Plots
get.partial.plot.data | Acquire Partial Effect of a Variable
get.tree | Extract a Single Tree from a Forest and plot it on your browser
get.tree.rfsrc | Extract a Single Tree from a Forest and plot it on your browser
hd | Hodgkin's Disease
holdout.vimp | Hold out variable importance (VIMP)
holdout.vimp.rfsrc | Hold out variable importance (VIMP)
housing | Ames Iowa Housing Data
imbalanced | Imbalanced Two Class Problems
imbalanced.rfsrc | Imbalanced Two Class Problems
impute | Impute Only Mode
impute.learn | Learn a predictive imputer for test-time imputation and OOD scoring
impute.learn.rfsrc | Learn a predictive imputer for test-time imputation and OOD scoring
impute.ood | Learn a predictive imputer for test-time imputation and OOD scoring
impute.ood.rfsrc | Learn a predictive imputer for test-time imputation and OOD scoring
impute.rfsrc | Impute Only Mode
load.impute.learn | Learn a predictive imputer for test-time imputation and OOD scoring
load.impute.learn.rfsrc | Learn a predictive imputer for test-time imputation and OOD scoring
max.subtree | Acquire Maximal Subtree Information
max.subtree.rfsrc | Acquire Maximal Subtree Information
nutrigenomic | Nutrigenomic Study
partial | Acquire Partial Effect of a Variable
partial.rfsrc | Acquire Partial Effect of a Variable
pbc | Primary Biliary Cirrhosis (PBC) Data
peakVO2 | Systolic Heart Failure Data
plot.competing.risk | Plots for Competing Risks
plot.competing.risk.rfsrc | Plots for Competing Risks
plot.quantreg | Plot Quantiles from Quantile Regression Forests
plot.quantreg.rfsrc | Plot Quantiles from Quantile Regression Forests
plot.rfsrc | Plot Error Rate and Variable Importance from a RF-SRC analysis
plot.subsample | Plot Subsampled VIMP Confidence Intervals
plot.subsample.rfsrc | Plot Subsampled VIMP Confidence Intervals
plot.survival | Survival Prediction Performance and Diagnostic Plots
plot.survival.rfsrc | Survival Prediction Performance and Diagnostic Plots
plot.variable | Plot Marginal Effect of Variables
plot.variable.rfsrc | Plot Marginal Effect of Variables
plotBrierAUC | Survival Prediction Performance and Diagnostic Plots
predict.impute.learn | Learn a predictive imputer for test-time imputation and OOD scoring
predict.impute.learn.rfsrc | Learn a predictive imputer for test-time imputation and OOD scoring
predict.rfsrc | Prediction for Random Forests for Survival, Regression, and Classification
print.impute.learn | Learn a predictive imputer for test-time imputation and OOD scoring
print.impute.learn.rfsrc | Learn a predictive imputer for test-time imputation and OOD scoring
print.rfsrc | Print Summary Output of a RF-SRC Analysis
quantreg | Quantile Regression Forests
quantreg.rfsrc | Quantile Regression Forests
randomForestSRC | Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
rfsrc | Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
rfsrc.anonymous | Anonymous Random Forests
rfsrc.cart | Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
rfsrc.fast | Fast Random Forests
rfsrc.news | Show the NEWS file
save.impute.learn | Learn a predictive imputer for test-time imputation and OOD scoring
save.impute.learn.rfsrc | Learn a predictive imputer for test-time imputation and OOD scoring
sidClustering | sidClustering using SID (Staggered Interaction Data) for Unsupervised Clustering
sidClustering.rfsrc | sidClustering using SID (Staggered Interaction Data) for Unsupervised Clustering
subsample | Subsample Forests for VIMP Confidence Intervals
subsample.rfsrc | Subsample Forests for VIMP Confidence Intervals
tune | Tune Random Forest for optimal 'mtry' and 'nodesize'
tune.nodesize | Tune Random Forest for optimal 'mtry' and 'nodesize'
tune.nodesize.rfsrc | Tune Random Forest for optimal 'mtry' and 'nodesize'
tune.rfsrc | Tune Random Forest for optimal 'mtry' and 'nodesize'
vdv | van de Vijver Microarray Breast Cancer
veteran | Veteran's Administration Lung Cancer Trial
vimp | VIMP for Single or Grouped Variables
vimp.rfsrc | VIMP for Single or Grouped Variables
wihs | Women's Interagency HIV Study (WIHS)
wine | White Wine Quality Data