Package: randomForestSRC 3.6.1

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

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.

Authors:Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]

randomForestSRC_3.6.1.tar.gz
randomForestSRC_3.6.1.zip(r-4.7)randomForestSRC_3.6.1.zip(r-4.6)randomForestSRC_3.6.1.zip(r-4.5)
randomForestSRC_3.6.1.tgz(r-4.6-x86_64)randomForestSRC_3.6.1.tgz(r-4.6-arm64)randomForestSRC_3.6.1.tgz(r-4.5-x86_64)randomForestSRC_3.6.1.tgz(r-4.5-arm64)
randomForestSRC_3.6.1.tar.gz(r-4.6-arm64)randomForestSRC_3.6.1.tar.gz(r-4.6-x86_64)
randomForestSRC_3.6.1.tgz(r-4.5-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
randomForestSRC/json (API)
NEWS

# Install 'randomForestSRC' in R:
install.packages('randomForestSRC', repos = c('https://kogalur.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kogalur/randomforestsrc/issues

Pkgdown/docs site:https://www.randomforestsrc.org

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • breast - Wisconsin Prognostic Breast Cancer Data
  • follic - Follicular Cell Lymphoma
  • hd - Hodgkin's Disease
  • housing - Ames Iowa Housing Data
  • nutrigenomic - Nutrigenomic Study
  • pbc - Primary Biliary Cirrhosis (PBC) Data
  • peakVO2 - Systolic Heart Failure Data
  • vdv - Van de Vijver Microarray Breast Cancer
  • veteran - Veteran's Administration Lung Cancer Trial
  • wihs - Women's Interagency HIV Study
  • wine - White Wine Quality Data

On CRAN:

Conda:

openmp

10.84 score 131 stars 15 packages 1.3k scripts 8.0k downloads 143 mentions 88 exports 64 dependencies

Last updated from:62e9d88bbc. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK209
linux-devel-x86_64OK201
source / vignettesOK250
linux-release-arm64OK194
linux-release-x86_64OK197
macos-release-arm64OK146
macos-release-x86_64OK328
macos-oldrel-arm64OK139
macos-oldrel-x86_64OK264
windows-develOK191
windows-releaseOK164
windows-oldrelOK158
wasm-releaseOK179

Exports:extract.bootsampleextract.quantileextract.subsamplefast.loadfast.load.listfast.savefast.save.listget.aucget.bayes.ruleget.brier.errorget.brier.survivalget.cindexget.confusionget.imbalanced.optimizeget.imbalanced.performanceget.loglossget.misclass.errorget.mv.cserrorget.mv.csvimpget.mv.errorget.mv.error.blockget.mv.formulaget.mv.predictedget.mv.vimpget.partial.plot.dataget.pr.aucget.pr.curveget.quantileget.quantile.crpsget.quantile.statget.rfq.thresholdget.treeget.tree.rfsrcholdout.vimpholdout.vimp.rfsrcimbalancedimbalanced.rfsrcimputeimpute.learnimpute.learn.rfsrcimpute.oodimpute.ood.rfsrcimpute.rfsrcload.impute.learnload.impute.learn.rfsrclsosmax.subtreemax.subtree.rfsrcpartialpartial.rfsrcplot.competing.riskplot.competing.risk.rfsrcplot.quantregplot.quantreg.rfsrcplot.rfsrcplot.subsampleplot.subsample.rfsrcplot.survivalplot.survival.rfsrcplot.variableplot.variable.rfsrcpredict.rfsrcprint.bootsampleprint.bootsample.rfsrcprint.imbalanced.performanceprint.rfsrcprint.subsampleprint.subsample.rfsrcquantregquantreg.rfsrcrfsrcrfsrc.anonymousrfsrc.cartrfsrc.fastrfsrc.newssave.impute.learnsave.impute.learn.rfsrcsid.perf.metricsidClusteringsidClustering.rfsrcsubsamplesubsample.rfsrctunetune.nodesizetune.nodesize.rfsrctune.rfsrcvimpvimp.rfsrc

Dependencies:base64encbitbit64bslibcachemclicliprcpp11crayondata.treeDiagrammeRdigestdplyrevaluatefarverfastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimepillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerreadrrlangrmarkdownrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)randomForestSRC-package
Wisconsin Prognostic Breast Cancer Databreast
Follicular Cell Lymphomafollic
Extract a Single Tree from a Forest and plot it on your browserget.tree get.tree.rfsrc
Hodgkin's Diseasehd
Hold out variable importance (VIMP)holdout.vimp holdout.vimp.rfsrc
Ames Iowa Housing Datahousing
Imbalanced Two Class Problemsimbalanced imbalanced.rfsrc
Learn a predictive imputer for test-time imputation and OOD scoringimpute.learn impute.learn.rfsrc impute.ood impute.ood.rfsrc load.impute.learn load.impute.learn.rfsrc predict.impute.learn predict.impute.learn.rfsrc print.impute.learn print.impute.learn.rfsrc save.impute.learn save.impute.learn.rfsrc
Impute Only Modeimpute impute.rfsrc
Acquire Maximal Subtree Informationmax.subtree max.subtree.rfsrc
Nutrigenomic Studynutrigenomic
Acquire Partial Effect of a Variableget.partial.plot.data partial partial.rfsrc
Primary Biliary Cirrhosis (PBC) Datapbc
Systolic Heart Failure DatapeakVO2
Plots for Competing Risksplot.competing.risk plot.competing.risk.rfsrc
Plot Quantiles from Quantile Regression Forestsplot.quantreg plot.quantreg.rfsrc
Plot Error Rate and Variable Importance from a RF-SRC analysisplot.rfsrc
Plot Subsampled VIMP Confidence Intervalsplot.subsample plot.subsample.rfsrc
Plot of Survival Estimatesget.brier.survival plot.survival plot.survival.rfsrc
Plot Marginal Effect of Variablesplot.variable plot.variable.rfsrc
Prediction for Random Forests for Survival, Regression, and Classificationpredict.rfsrc
Print Summary Output of a RF-SRC Analysisprint.rfsrc
Quantile Regression Forestsquantreg quantreg.rfsrc
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)randomForestSRC rfsrc rfsrc.cart
Anonymous Random Forestsrfsrc.anonymous
Fast Random Forestsrfsrc.fast
Show the NEWS filerfsrc.news
sidClustering using SID (Staggered Interaction Data) for Unsupervised ClusteringsidClustering sidClustering.rfsrc
Subsample Forests for VIMP Confidence Intervalssubsample subsample.rfsrc
Tune Random Forest for optimal 'mtry' and 'nodesize'tune tune.nodesize tune.nodesize.rfsrc tune.rfsrc
van de Vijver Microarray Breast Cancervdv
Veteran's Administration Lung Cancer Trialveteran
VIMP for Single or Grouped Variablesvimp vimp.rfsrc
Women's Interagency HIV Study (WIHS)wihs
White Wine Quality Datawine