R: Visualizes Random Forests with Feature Contributions

# Visualizes Random Forests with Feature Contributions

## Documentation for package ‘forestFloor’ version 1.11.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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