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Variable selection using minimal depth.
● Data Source:
CranContrib
● Keywords: variable selection
● Alias: var.select, var.select.rfsrc
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Find pairwise interactions between variables.
● Data Source:
CranContrib
● Keywords: variable selection
● Alias: find.interaction, find.interaction.rfsrc
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predict.rfsrc
(Package: randomForestSRC) :
Prediction for Random Forests for Survival, Regression, and Classification
Obtain predicted values using a forest. Also returns performance values if the test data contains y-outcomes.
● Data Source:
CranContrib
● Keywords: forest, predict
● Alias: predict.rfsrc
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print.rfsrc
(Package: randomForestSRC) :
Print Summary Output of a RF-SRC Analysis
Print summary output from a RF-SRC analysis. This is the default print method for the package.
● Data Source:
CranContrib
● Keywords: print
● Alias: print.rfsrc
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Fast imputation mode. A random forest is grown and used to impute missing data. No ensemble estimates or error rates are calculated.
● Data Source:
CranContrib
● Keywords: missing data
● Alias: impute, impute.rfsrc
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Plot various survival estimates.
● Data Source:
CranContrib
● Keywords: plot
● Alias: plot.survival, plot.survival.rfsrc
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vimp
(Package: randomForestSRC) :
VIMP for Single or Grouped Variables
Calculate variable importance (VIMP) for a single variable or group of variables for training or test data.
● Data Source:
CranContrib
● Keywords: predict, variable selection
● Alias: vimp, vimp.rfsrc
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plot.rfsrc
(Package: randomForestSRC) :
Plot Error Rate and Variable Importance from a RF-SRC analysis
Plot out-of-bag (OOB) error rates and variable importance (VIMP) from a RF-SRC analysis. This is the default plot method for the package.
● Data Source:
CranContrib
● Keywords: plot
● Alias: plot.rfsrc
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margin
(Package: randomForest) :
Margins of randomForest Classifier
Compute or plot the margin of predictions from a randomForest classifier.
● Data Source:
CranContrib
● Keywords: classif
● Alias: margin, margin.default, margin.randomForest, plot.margin
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Show the NEWS file of the randomForest package.
● Data Source:
CranContrib
● Keywords: classif
● Alias: rfNews
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providing 
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