R: Visually Exploring Random Forests

# Visually Exploring Random Forests

## Documentation for package ‘ggRandomForests’ version 2.7.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

ggRandomForests-package | ggRandomForests: Visually Exploring Random Forests
autoplot.gg | 'autoplot' methods for 'ggRandomForests' data objects
autoplot.gg_brier | 'autoplot' methods for 'ggRandomForests' data objects
autoplot.gg_error | 'autoplot' methods for 'ggRandomForests' data objects
autoplot.gg_partial | 'autoplot' methods for 'ggRandomForests' data objects
autoplot.gg_partialpro | 'autoplot' methods for 'ggRandomForests' data objects
autoplot.gg_partial_rfsrc | 'autoplot' methods for 'ggRandomForests' data objects
autoplot.gg_rfsrc | 'autoplot' methods for 'ggRandomForests' data objects
autoplot.gg_roc | 'autoplot' methods for 'ggRandomForests' data objects
autoplot.gg_survival | 'autoplot' methods for 'ggRandomForests' data objects
autoplot.gg_variable | 'autoplot' methods for 'ggRandomForests' data objects
autoplot.gg_vimp | 'autoplot' methods for 'ggRandomForests' data objects
calc_auc | Area Under the ROC Curve calculator
calc_auc.gg_roc | Area Under the ROC Curve calculator
calc_roc | Receiver Operator Characteristic calculator
calc_roc.randomForest | Receiver Operator Characteristic calculator
calc_roc.rfsrc | Receiver Operator Characteristic calculator
gg_brier | Brier score and CRPS for survival forests
gg_error | Random forest error trajectory data object
gg_error.randomForest | Random forest error trajectory data object
gg_error.randomForest.formula | Random forest error trajectory data object
gg_error.rfsrc | Random forest error trajectory data object
gg_partial | Split partial dependence data into continuous or categorical datasets
gg_partialpro | Split varpro partial dependence data into continuous or categorical datasets
gg_partial_rfsrc | Partial dependence data from an rfsrc model
gg_rfsrc | Predicted response data object
gg_rfsrc.rfsrc | Predicted response data object
gg_roc | ROC (Receiver Operating Characteristic) curve data from a classification forest.
gg_roc.randomForest | ROC (Receiver Operating Characteristic) curve data from a classification forest.
gg_roc.rfsrc | ROC (Receiver Operating Characteristic) curve data from a classification forest.
gg_survival | Nonparametric survival estimates.
gg_survival.default | Nonparametric survival estimates.
gg_survival.rfsrc | Nonparametric survival estimates.
gg_variable | Marginal variable dependence data object.
gg_variable.random | Marginal variable dependence data object.
gg_variable.randomForest | Marginal variable dependence data object.
gg_variable.rfsrc | Marginal variable dependence data object.
gg_vimp | Variable Importance (VIMP) data object
gg_vimp.randomForest | Variable Importance (VIMP) data object
gg_vimp.randomForest.formula | Variable Importance (VIMP) data object
gg_vimp.rfsrc | Variable Importance (VIMP) data object
kaplan | nonparametric Kaplan-Meier estimates
nelson | nonparametric Nelson-Aalen estimates
plot.gg_brier | Plot a 'gg_brier' object
plot.gg_error | Plot a 'gg_error' object
plot.gg_partial | Plot a 'gg_partial' object
plot.gg_partialpro | Plot a 'gg_partialpro' object
plot.gg_partial_rfsrc | Plot a 'gg_partial_rfsrc' object
plot.gg_rfsrc | Predicted response plot from a 'gg_rfsrc' object.
plot.gg_roc | ROC plot generic function for a 'gg_roc' object.
plot.gg_survival | Plot a 'gg_survival' object.
plot.gg_variable | Plot a 'gg_variable' object,
plot.gg_vimp | Plot a 'gg_vimp' object, extracted variable importance of a 'rfsrc' object
print.gg | Print methods for gg_* data objects
print.gg_brier | Print methods for gg_* data objects
print.gg_error | Print methods for gg_* data objects
print.gg_partial | Print methods for gg_* data objects
print.gg_partialpro | Print methods for gg_* data objects
print.gg_partial_rfsrc | Print methods for gg_* data objects
print.gg_rfsrc | Print methods for gg_* data objects
print.gg_roc | Print methods for gg_* data objects
print.gg_survival | Print methods for gg_* data objects
print.gg_variable | Print methods for gg_* data objects
print.gg_vimp | Print methods for gg_* data objects
print.summary.gg | Summary methods for gg_* data objects
quantile_pts | Quantile-based cut points for coplots
summary.gg | Summary methods for gg_* data objects
summary.gg_brier | Summary methods for gg_* data objects
summary.gg_error | Summary methods for gg_* data objects
summary.gg_partial | Summary methods for gg_* data objects
summary.gg_partialpro | Summary methods for gg_* data objects
summary.gg_partial_rfsrc | Summary methods for gg_* data objects
summary.gg_rfsrc | Summary methods for gg_* data objects
summary.gg_roc | Summary methods for gg_* data objects
summary.gg_survival | Summary methods for gg_* data objects
summary.gg_variable | Summary methods for gg_* data objects
summary.gg_vimp | Summary methods for gg_* data objects
surv_partial.rfsrc | Survival partial dependence data for one or more predictors
varpro_feature_names | Recover original variable names from varpro one-hot encoded feature names