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:
randomForestSRC_3.3.1.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kogalur/randomforestsrc/issues
Pkgdown:https://www.randomforestsrc.org
- 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
Last updated 5 months agofrom:37dc35d755. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-linux-x86_64 | OK | Nov 23 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