Package index • Fast Unified Random Forests with randomForestSRC

All functions
`breast`	Wisconsin Prognostic Breast Cancer Data
`get.confusion()` `get.misclass.error()` `get.auc()` `get.brier.error()` `get.logloss()` `get.pr.auc()` `get.pr.curve()` `get.bayes.rule()`	Classification Performance Metrics
`fast.save()` `fast.load()` `fast.save.list()` `fast.load.list()`	Fast Saving and Loading Objects
`follic`	Follicular Cell Lymphoma
`get.tree`	Extract a Single Tree from a Forest and plot it on your browser
`hd`	Hodgkin's Disease
`holdout.vimp`	Hold out variable importance (VIMP)
`housing`	Ames Iowa Housing Data
`imbalanced` `get.imbalanced.performance()` `get.imbalanced.optimize()` `get.rfq.threshold()` `print(<imbalanced.performance>)`	Random Forests for Imbalanced Two-Class Classification
`impute.learn.rfsrc()` `save.impute.learn.rfsrc()` `load.impute.learn.rfsrc()` `predict(<impute.learn.rfsrc>)` `impute.ood.rfsrc()`	Learn a predictive imputer for test-time imputation and OOD scoring
`impute`	Impute Only Mode
`max.subtree`	Acquire Maximal Subtree Information
`get.mv.predicted()` `get.mv.error()` `get.mv.error.block()` `get.mv.vimp()` `get.mv.cserror()` `get.mv.csvimp()` `get.mv.formula()`	Extracting Multivariate Values
`nutrigenomic`	Nutrigenomic Study
`partial.rfsrc()` `get.partial.plot.data()`	Compute Partial Dependence Values
`pbc`	Primary Biliary Cirrhosis (PBC) Data
`peakVO2`	Systolic Heart Failure Data
`plot.competing.risk`	Plots for Competing Risks
`plot.quantreg`	Plot Conditional Quantiles and CRPS Diagnostics
`plot`	Plot Error Rate and Variable Importance from a RF-SRC analysis
`plot.subsample`	Plot Subsampling Confidence Intervals for Variable Importance
`plot.survival` `get.brier.survival()` `get.auct.survival()` `plotBrierAUC()` `get.cindex()`	Survival Prediction Performance and Diagnostic Plots
`plot.variable`	Plot Marginal and Partial Dependence of Predictors
`predict`	Prediction for Random Forests for Survival, Regression, and Classification
`print`	Print Summary Output of a RF-SRC Analysis
`quantreg` `extract.quantile()` `get.quantile()` `get.quantile.stat()` `get.quantile.crps()` `get.pinball.error()`	Quantile Regression Forests
`randomForestSRC-package`	Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
`rfsrc()` `rfsrc.cart()`	Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
`rfsrc.anonymous()`	Anonymous Random Forests
`rfsrc.fast()`	Fast Random Forests
`rfsrc.news()`	Show the NEWS file
`sidClustering` `sid.perf.metric()`	sidClustering using SID (Staggered Interaction Data) for Unsupervised Clustering
`subsample` `extract.subsample()` `extract.bootsample()` `print(<subsample>)` `print(<bootsample>)`	Subsampling Inference for Variable Importance and Prediction Error
`tune` `tune.nodesize`	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
`wihs`	Women's Interagency HIV Study (WIHS)
`wine`	White Wine Quality Data

Reference

All functions