extract.subsample

extract.bootsample

print.subsample

print.subsample.rfsrc

print.bootsample

print.bootsample.rfsrc

fast.save

fast.load

fast.save.list

fast.load.list

lsos

get.imbalanced.performance

get.imbalanced.optimize

get.pr.auc

get.pr.curve

get.rfq.threshold

get.auc

get.bayes.rule

get.brier.error

get.cindex

get.confusion

get.logloss

get.misclass.error

get.mv.cserror

get.mv.csvimp

get.mv.error

get.mv.error.block

get.mv.formula

get.mv.predicted

get.mv.vimp

extract.quantile

get.quantile

get.quantile.crps

get.quantile.stat

sid.perf.metric

<p>These are internal utility functions exported for advanced usage. This
  Rd file is used solely to register aliases.</p>

internal

internal.utils

Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes.  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 importance. Case-specific importance.  Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.

Udaya Kogalur

randomForestSRC

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

internal.utils: Internal Utility Functions

Description

Arguments