Package: randomForestSRC 3.9.3
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_3.9.3.tar.gz
randomForestSRC_3.9.3.zip(r-4.7-x86_64)randomForestSRC_3.9.3.zip(r-4.7-arm64)randomForestSRC_3.9.3.zip(r-4.6-x86_64)randomForestSRC_3.9.3.zip(r-4.6-arm64)randomForestSRC_3.9.3.zip(r-4.5-x86_64)
randomForestSRC_3.9.3.tgz(r-4.6-x86_64)randomForestSRC_3.9.3.tgz(r-4.6-arm64)randomForestSRC_3.9.3.tgz(r-4.5-x86_64)randomForestSRC_3.9.3.tgz(r-4.5-arm64)
randomForestSRC_3.9.3.tar.gz(r-4.7-arm64)randomForestSRC_3.9.3.tar.gz(r-4.7-x86_64)randomForestSRC_3.9.3.tar.gz(r-4.6-arm64)randomForestSRC_3.9.3.tar.gz(r-4.6-x86_64)
randomForestSRC_3.9.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
randomForestSRC/json (API)
| # 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
- 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 from:543f0c4237. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 158 | ||
| linux-devel-x86_64 | OK | 168 | ||
| source / vignettes | OK | 384 | ||
| linux-release-arm64 | OK | 227 | ||
| linux-release-x86_64 | OK | 235 | ||
| macos-release-arm64 | OK | 266 | ||
| macos-release-x86_64 | OK | 396 | ||
| macos-oldrel-arm64 | OK | 229 | ||
| macos-oldrel-x86_64 | OK | 359 | ||
| windows-devel-arm64 | OK | 420 | ||
| windows-devel-x86_64 | OK | 187 | ||
| windows-release-arm64 | OK | 415 | ||
| windows-release-x86_64 | OK | 235 | ||
| windows-oldrel-x86_64 | OK | 178 | ||
| wasm-release | OK | 152 |
Exports:extract.bootsampleextract.quantileextract.subsamplefast.loadfast.load.listfast.savefast.save.listget.aucget.auct.survivalget.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.pinball.errorget.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.rfsrcmax.subtreemax.subtree.rfsrcpartialpartial.rfsrcplot.competing.riskplot.competing.risk.rfsrcplot.quantregplot.quantreg.rfsrcplot.rfsrcplot.subsampleplot.subsample.rfsrcplot.survivalplot.survival.rfsrcplot.variableplot.variable.rfsrcplotBrierAUCpredict.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 page | Topics |
|---|---|
| Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) | randomForestSRC-package |
| Wisconsin Prognostic Breast Cancer Data | breast |
| Classification Performance Metrics | classification.performance get.auc get.bayes.rule get.brier.error get.confusion get.logloss get.misclass.error get.pr.auc get.pr.curve |
| Fast Saving and Loading of Random Forests | fast.load fast.load.list fast.save fast.save.list fast.saveload |
| Follicular Cell Lymphoma | follic |
| Extract a Single Tree from a Forest and plot it on your browser | get.tree get.tree.rfsrc |
| Hodgkin's Disease | hd |
| Hold out variable importance (VIMP) | holdout.vimp holdout.vimp.rfsrc |
| Ames Iowa Housing Data | housing |
| Random Forests for Imbalanced Two-Class Classification | get.imbalanced.optimize get.imbalanced.performance get.rfq.threshold imbalanced imbalanced.rfsrc print.imbalanced.performance |
| Learn a predictive imputer for test-time imputation and OOD scoring | impute.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 Mode | impute impute.rfsrc |
| Acquire Maximal Subtree Information | max.subtree max.subtree.rfsrc |
| Extracting Multivariate Values | get.mv.cserror get.mv.csvimp get.mv.error get.mv.error.block get.mv.formula get.mv.predicted get.mv.vimp multivariate.values |
| Nutrigenomic Study | nutrigenomic |
| Compute Partial Dependence Values | get.partial.plot.data partial partial.rfsrc |
| Primary Biliary Cirrhosis (PBC) Data | pbc |
| Systolic Heart Failure Data | peakVO2 |
| Plots for Competing Risks | plot.competing.risk plot.competing.risk.rfsrc |
| Plot Conditional Quantiles and CRPS Diagnostics | plot.quantreg plot.quantreg.rfsrc |
| Plot Error Rate and Variable Importance from a RF-SRC analysis | plot.rfsrc |
| Plot Subsampling Confidence Intervals for Variable Importance | plot.subsample plot.subsample.rfsrc |
| Survival Prediction Performance and Diagnostic Plots | get.auct.survival get.brier.survival get.cindex plot.survival plot.survival.rfsrc plotBrierAUC |
| Plot Marginal and Partial Dependence of Predictors | plot.variable plot.variable.rfsrc |
| Prediction for Random Forests for Survival, Regression, and Classification | predict.rfsrc |
| Print Summary Output of a RF-SRC Analysis | print.rfsrc |
| Quantile Regression Forests | extract.quantile get.pinball.error get.quantile get.quantile.crps get.quantile.stat quantreg quantreg.rfsrc |
| Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) | randomForestSRC rfsrc rfsrc.cart |
| Anonymous Random Forests | rfsrc.anonymous |
| Fast Random Forests | rfsrc.fast |
| Show the NEWS file | rfsrc.news |
| sidClustering using SID (Staggered Interaction Data) for Unsupervised Clustering | sid.perf.metric sidClustering sidClustering.rfsrc |
| Subsampling Inference for Variable Importance and Prediction Error | extract.bootsample extract.subsample print.bootsample print.bootsample.rfsrc print.subsample print.subsample.rfsrc subsample subsample.rfsrc |
| Tune Random Forest Parameters | tune tune.nodesize tune.nodesize.rfsrc tune.rfsrc |
| van de Vijver Microarray Breast Cancer | vdv |
| Veteran's Administration Lung Cancer Trial | veteran |
| VIMP for Single or Grouped Variables | vimp vimp.rfsrc |
| Women's Interagency HIV Study (WIHS) | wihs |
| White Wine Quality Data | wine |