| randomForestSRC-package |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| breast |
Wisconsin Prognostic Breast Cancer Data |
| extract.bootsample |
Subsample Forests for VIMP Confidence Intervals |
| extract.quantile |
Quantile Regression Forests |
| extract.subsample |
Subsample Forests for VIMP Confidence Intervals |
| find.interaction |
Find Interactions Between Pairs of Variables |
| find.interaction.rfsrc |
Find Interactions Between Pairs of Variables |
| follic |
Follicular Cell Lymphoma |
| get.auc |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.bayes.rule |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.brier.error |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.brier.survival |
Plot of Survival Estimates |
| get.cindex |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.confusion |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.imbalanced.optimize |
Imbalanced Two Class Problems |
| get.imbalanced.performance |
Imbalanced Two Class Problems |
| get.misclass.error |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.mv.cserror |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.mv.csvimp |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.mv.error |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.mv.error.block |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.mv.formula |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.mv.predicted |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.mv.vimp |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| get.partial.plot.data |
Acquire Partial Effect of a Variable |
| get.pr.auc |
Imbalanced Two Class Problems |
| get.pr.curve |
Imbalanced Two Class Problems |
| get.quantile |
Quantile Regression Forests |
| get.quantile.crps |
Quantile Regression Forests |
| get.quantile.stat |
Quantile Regression Forests |
| get.rfq.threshold |
Imbalanced Two Class Problems |
| get.tree |
Extract a Single Tree from a Forest and plot it on your browser |
| get.tree.rfsrc |
Extract a Single Tree from a Forest and plot it on your browser |
| hd |
Hodgkin's Disease |
| holdout.vimp |
Hold out variable importance (VIMP) |
| holdout.vimp.rfsrc |
Hold out variable importance (VIMP) |
| housing |
Ames Iowa Housing Data |
| imbalanced |
Imbalanced Two Class Problems |
| imbalanced.rfsrc |
Imbalanced Two Class Problems |
| impute |
Impute Only Mode |
| impute.rfsrc |
Impute Only Mode |
| max.subtree |
Acquire Maximal Subtree Information |
| max.subtree.rfsrc |
Acquire Maximal Subtree Information |
| nutrigenomic |
Nutrigenomic Study |
| partial |
Acquire Partial Effect of a Variable |
| partial.rfsrc |
Acquire Partial Effect of a Variable |
| pbc |
Primary Biliary Cirrhosis (PBC) Data |
| peakVO2 |
Systolic Heart Failure Data |
| plot.competing.risk |
Plots for Competing Risks |
| plot.competing.risk.rfsrc |
Plots for Competing Risks |
| plot.quantreg |
Plot Quantiles from Quantile Regression Forests |
| plot.quantreg.rfsrc |
Plot Quantiles from Quantile Regression Forests |
| plot.rfsrc |
Plot Error Rate and Variable Importance from a RF-SRC analysis |
| plot.subsample |
Plot Subsampled VIMP Confidence Intervals |
| plot.subsample.rfsrc |
Plot Subsampled VIMP Confidence Intervals |
| plot.survival |
Plot of Survival Estimates |
| plot.survival.rfsrc |
Plot of Survival Estimates |
| plot.variable |
Plot Marginal Effect of Variables |
| plot.variable.rfsrc |
Plot Marginal Effect of Variables |
| predict.rfsrc |
Prediction for Random Forests for Survival, Regression, and Classification |
| print.bootsample |
Subsample Forests for VIMP Confidence Intervals |
| print.bootsample.rfsrc |
Subsample Forests for VIMP Confidence Intervals |
| print.rfsrc |
Print Summary Output of a RF-SRC Analysis |
| print.subsample |
Subsample Forests for VIMP Confidence Intervals |
| print.subsample.rfsrc |
Subsample Forests for VIMP Confidence Intervals |
| quantreg |
Quantile Regression Forests |
| quantreg.rfsrc |
Quantile Regression Forests |
| randomForestSRC |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| rfsrc |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| rfsrc.anonymous |
Anonymous Random Forests |
| rfsrc.cart |
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) |
| rfsrc.fast |
Fast Random Forests |
| rfsrc.news |
Show the NEWS file |
| sid.perf.metric |
sidClustering using SID (Staggered Interaction Data) for Unsupervised Clustering |
| sidClustering |
sidClustering using SID (Staggered Interaction Data) for Unsupervised Clustering |
| sidClustering.rfsrc |
sidClustering using SID (Staggered Interaction Data) for Unsupervised Clustering |
| stat.split |
Acquire Split Statistic Information |
| stat.split.rfsrc |
Acquire Split Statistic Information |
| subsample |
Subsample Forests for VIMP Confidence Intervals |
| subsample.rfsrc |
Subsample Forests for VIMP Confidence Intervals |
| synthetic |
Synthetic Random Forests |
| synthetic.rfsrc |
Synthetic Random Forests |
| tune |
Tune Random Forest for the optimal mtry and nodesize parameters |
| tune.nodesize |
Tune Random Forest for the optimal mtry and nodesize parameters |
| tune.nodesize.rfsrc |
Tune Random Forest for the optimal mtry and nodesize parameters |
| tune.rfsrc |
Tune Random Forest for the optimal mtry and nodesize parameters |
| var.select |
Variable Selection |
| var.select.rfsrc |
Variable Selection |
| vdv |
van de Vijver Microarray Breast Cancer |
| veteran |
Veteran's Administration Lung Cancer Trial |
| vimp |
VIMP for Single or Grouped Variables |
| vimp.rfsrc |
VIMP for Single or Grouped Variables |
| wihs |
Women's Interagency HIV Study (WIHS) |
| wine |
White Wine Quality Data |
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