Visualizes Random Forests with Feature Contributions

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Documentation for package ‘forestFloor’ version 1.11.1

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append.overwrite.alists Combine two argument lists
as.numeric.factor Convert a factor to numeric.vector.
box.outliers Box Outliers
convolute_ff Cross-validated main effects interpretation for all feature contributions.
convolute_ff2 Low-level function to estimate a specific set of feature contributions by corresponding features with kknn-package. Used to estimate goodness-of-fit of surface in show3d.
convolute_grid Model structure grid estimated by feature contributions
fcol Generic colour module for forestFloor objects
forestFloor Compute out-of-bag cross-validated feature contributions to visualize model structures of randomForest models.
forestFloorPackage forestFloor: visualize the random forest model structure
forestFloor_randomForest_classification Compute out-of-bag cross-validated feature contributions to visualize model structures of randomForest models.
forestFloor_randomForest_regression Compute out-of-bag cross-validated feature contributions to visualize model structures of randomForest models.
importanceExportWrapper Importance Export Wrapper (internal)
multiTree recursiveTree: cross-validated feature contributions
plot.forestFloor plot.forestFloor_regression
plot.forestFloor_multiClass plot.forestFloor_regression
plot.forestFloor_regression plot.forestFloor_regression
plot_simplex3 3-class simplex forestFloor plot
print.forestFloor print summary of forestFloor.Object
print.forestFloor_classification print summary of forestFloor.Object
print.forestFloor_multiClass print summary of forestFloor.Object
print.forestFloor_regression print summary of forestFloor.Object
recTree recursiveTree: cross-validated feature contributions
show3d make forestFloor 3D-plot of random forest feature contributions
show3d.forestFloor_multiClass make forestFloor 3D-plot of random forest feature contributions
show3d.forestFloor_regression make forestFloor 3D-plot of random forest feature contributions
vec.plot Compute and plot vector effect characteristics for a given multivariate model
Xtestmerger merge training set (X) and (test) set