autoplot.gg             'autoplot' methods for 'ggRandomForests' data
                        objects
calc_auc                Area Under the ROC Curve calculator
calc_roc.rfsrc          Receiver Operator Characteristic calculator
ggRandomForests-package
                        ggRandomForests: Visually Exploring Random
                        Forests
gg_beta_uvarpro         Per-variable lasso-beta importance from an
                        unsupervised varPro fit
gg_beta_varpro          Per-variable lasso-beta importance from a
                        varPro fit
gg_brier                Brier score and CRPS for survival forests
gg_error                Random forest error trajectory data object
gg_isopro               Tidy data from a varPro isolation-forest fit
gg_ivarpro              Individual (local) variable importance from a
                        varPro fit
gg_partial              Split partial dependence data into continuous
                        or categorical datasets
gg_partial_rfsrc        Partial dependence data from an rfsrc model
gg_partial_varpro       Partial dependence data from a varPro model
gg_rfsrc.rfsrc          Predicted response data object
gg_roc.rfsrc            ROC (Receiver Operating Characteristic) curve
                        data from a classification forest.
gg_sdependent           Signal-variable detection from an unsupervised
                        varPro fit
gg_shap                 SHAP (Shapley additive explanations) data
                        object
gg_survival             Nonparametric survival estimates.
gg_udependent           Variable dependency graph from a uvarpro model
gg_variable             Marginal variable dependence data object.
gg_varpro               Variable importance data from a varPro model
gg_vimp                 Variable Importance (VIMP) data object
kaplan                  nonparametric Kaplan-Meier estimates
nelson                  nonparametric Nelson-Aalen estimates
plot.gg_beta_uvarpro    Plot a 'gg_beta_uvarpro' object
plot.gg_beta_varpro     Plot a 'gg_beta_varpro' object
plot.gg_brier           Plot a 'gg_brier' object
plot.gg_error           Plot a 'gg_error' object
plot.gg_isopro          Plot a varPro isolation-forest anomaly score
plot.gg_ivarpro         Plot a 'gg_ivarpro' object
plot.gg_partial         Plot a 'gg_partial' object
plot.gg_partial_rfsrc   Plot a 'gg_partial_rfsrc' object
plot.gg_partial_varpro
                        Plot a 'gg_partial_varpro' 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_sdependent      Plot a 'gg_sdependent' object
plot.gg_shap            Plot a 'gg_shap' object
plot.gg_survival        Plot a 'gg_survival' object.
plot.gg_udependent      Plot a 'gg_udependent' variable dependency
                        graph
plot.gg_variable        Plot a 'gg_variable' object,
plot.gg_varpro          Plot a 'gg_varpro' variable importance object
plot.gg_vimp            Plot a 'gg_vimp' object, extracted variable
                        importance of a 'rfsrc' object
print.gg_beta_uvarpro   Print methods for gg_* data objects
quantile_pts            Quantile-based cut points for coplots
shap_beeswarm           SHAP beeswarm summary plot
shap_dependence         SHAP dependence plot
shap_importance         SHAP global importance bar chart
summary.gg_beta_uvarpro
                        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
