Package: randomForestSRC 3.3.1

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 <[email protected]>, Udaya B. Kogalur <[email protected]>

randomForestSRC_3.3.1.tar.gz
randomForestSRC_3.3.1.zip(r-4.5)randomForestSRC_3.3.1.zip(r-4.4)randomForestSRC_3.3.1.zip(r-4.3)
randomForestSRC_3.3.1.tgz(r-4.4-x86_64)randomForestSRC_3.3.1.tgz(r-4.4-arm64)randomForestSRC_3.3.1.tgz(r-4.3-x86_64)randomForestSRC_3.3.1.tgz(r-4.3-arm64)
randomForestSRC_3.3.1.tar.gz(r-4.5-noble)randomForestSRC_3.3.1.tar.gz(r-4.4-noble)
randomForestSRC_3.3.1.tgz(r-4.4-emscripten)randomForestSRC_3.3.1.tgz(r-4.3-emscripten)
randomForestSRC.pdf |randomForestSRC.html✨
randomForestSRC/json (API)
NEWS

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

Peer review:

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

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:

7.82 score 10 stars 13 packages 1.1k scripts 5.2k downloads 143 mentions 82 exports 67 dependencies

Last updated 3 months agofrom:37dc35d755. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-win-x86_64OKOct 24 2024
R-4.5-linux-x86_64OKOct 24 2024
R-4.4-win-x86_64OKOct 24 2024
R-4.4-mac-x86_64OKOct 24 2024
R-4.4-mac-aarch64OKOct 24 2024
R-4.3-win-x86_64OKOct 24 2024
R-4.3-mac-x86_64OKOct 24 2024
R-4.3-mac-aarch64OKOct 24 2024

Exports:extract.bootsampleextract.quantileextract.subsamplefind.interactionfind.interaction.rfsrcget.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.rfsrcmax.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.rfsrcprint.subsampleprint.subsample.rfsrcquantregquantreg.rfsrcrfsrcrfsrc.anonymousrfsrc.cartrfsrc.fastrfsrc.newssid.perf.metricsidClusteringsidClustering.rfsrcstat.splitstat.split.rfsrcsubsamplesubsample.rfsrcsyntheticsynthetic.rfsrctunetune.nodesizetune.nodesize.rfsrctune.rfsrcvar.selectvar.select.rfsrcvimpvimp.rfsrc

Dependencies:base64encbitbit64bslibcachemclicliprcolorspacecpp11crayondata.treeDiagrammeRdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimemunsellpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerreadrrlangrmarkdownrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml

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
Find Interactions Between Pairs of Variablesfind.interaction find.interaction.rfsrc
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 Problemsget.imbalanced.optimize get.imbalanced.performance get.pr.auc get.pr.curve get.rfq.threshold imbalanced imbalanced.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 Forestsextract.quantile get.quantile get.quantile.crps get.quantile.stat quantreg quantreg.rfsrc
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)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 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 Clusteringsid.perf.metric sidClustering sidClustering.rfsrc
Acquire Split Statistic Informationstat.split stat.split.rfsrc
Subsample Forests for VIMP Confidence Intervalsextract.bootsample extract.subsample print.bootsample print.bootsample.rfsrc print.subsample print.subsample.rfsrc subsample subsample.rfsrc
Synthetic Random Forestssynthetic synthetic.rfsrc
Tune Random Forest for the optimal mtry and nodesize parameterstune tune.nodesize tune.nodesize.rfsrc tune.rfsrc
Variable Selectionvar.select var.select.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