cache_rfsrc_datasets    Recreate the cached data sets for the
                        ggRandomForests package
calc_auc                Area Under the ROC Curve calculator
calc_roc.rfsrc          Reciever Operator Characteristic calculator
combine.gg_partial      combine two gg_partial objects
ggRandomForests-package
                        ggRandomForests: Visually Exploring Random
                        Forests
gg_error                randomForestSRC error rate data object
gg_interaction          Minimal Depth Variable Interaction data object
                        ('find.interaction').
gg_minimal_depth        Minimal depth data object
                        ('[randomForestSRC]{var.select}')
gg_minimal_vimp         Minimal depth vs VIMP camparison by variable
                        rankings.
gg_partial              Partial variable dependence object
gg_partial_coplot.rfsrc
                        Data structures for stratified partial coplots
gg_rfsrc.rfsrc          Predicted response data object
gg_roc.rfsrc            ROC (Receiver operator curve) data from a
                        classification random forest.
gg_survival             Nonparametric survival estimates.
gg_variable             Marginal variable depedance data object.
gg_vimp                 Variable Importance (VIMP) data object
interaction_data        Cached 'find.interaction' matrix objects for
                        examples, diagnostics and vignettes. Data sets
                        storing 'find.interaction' matrix objects
                        corresponding to training data according to the
                        following naming convention: •
                        'interaction_iris' - from a randomForestSR[C]
                        for the 'iris' data set.  •
                        'interaction_Boston' - from a randomForestS[R]C
                        for the 'Boston' housing data set ('MASS'
                        package).  • 'interaction_pbc' - from a
                        randomForest[S]RC for the 'pbc' data set
                        ('randomForestSRC' package)
kaplan                  nonparametric kaplan-meier estimates
logit_loess             logit_loess takes
nelson                  nonparametric Nelson-Aalen estimates
partial.rfsrc           randomForestSRC partial dependence (data
                        object) (modified from randomForestSRC V1.6.0)
partial_coplot_data     Cached 'plot.variable' objects for examples,
                        diagnostics and vignettes. Data sets storing
                        'rfsrc' objects corresponding to training data
                        according to the following naming convention: •
                        'partial_coplot_Boston' - randomForestS[R]C for
                        the 'Boston' housing data set ('MASS' package).
partial_data            Cached 'plot.variable' objects for examples,
                        diagnostics and vignettes. Data sets storing
                        'plot.variable' objects corresponding to
                        training data according to the following naming
                        convention: • 'partial_iris' - from a
                        randomForestSR[C] for the 'iris' data set.  •
                        'partial_Boston' - from a randomForestS[R]C for
                        the 'Boston' housing data set ('MASS' package).
                        • 'partial_pbc' - from a randomForest[S]RC for
                        the 'pbc' data set ('randomForestSRC' package)
partial_surface_data    Cached 'plot.variable' objects for examples,
                        diagnostics and vignettes. Data sets storing
                        'plot.variable' objects corresponding to
                        training data according to the following naming
                        convention: • 'partial_Boston_surf' - from a
                        randomForestS[R]C for the 'Boston' housing data
                        set ('MASS' package).  • 'partial_pbc_surf' -
                        from a randomForest[S]RC for the 'pbc' data set
                        ('randomForestSRC' package) •
                        'partial_pbc_time' - from a randomForest[S]RC
                        for the 'pbc' data set ('randomForestSRC'
                        package)
plot.gg_error           Plot a 'gg_error' object
plot.gg_interaction     plot.gg_interaction Plot a 'gg_interaction'
                        object,
plot.gg_minimal_depth   Plot a 'gg_minimal_depth' object for random
                        forest variable ranking.
plot.gg_minimal_vimp    Plot a 'gg_minimal_vimp' object for comparing
                        the Minimal Depth and VIMP variable rankings.
plot.gg_partial         Partial variable dependence plot, operates on a
                        'gg_partial' object.
plot.gg_partial_list    Partial variable dependence plot, operates on a
                        'gg_partial_list' 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_minimal_depth
                        Print a 'gg_minimal_depth' object.
quantile_pts            Find points evenly distributed along the
                        vectors values.
rfsrc_data              Cached 'rfsrc' objects for examples,
                        diagnostics and vignettes.
shift                   lead function to shift by one (or more).
surface_matrix          Construct a set of (x, y, z) matrices for
                        surface plotting a 'gg_partial_coplot' object
varsel_data             Cached 'var.select' objects for examples,
                        diagnostics and vignettes. Data sets storing
                        'var.select' objects corresponding to training
                        data according to the following naming
                        convention: • 'varsel_iris' - from a
                        randomForestSR[C] for the 'iris' data set.  •
                        'varsel_Boston' - from a randomForestS[R]C for
                        the 'Boston' housing data set ('MASS' package).
                        • 'varsel_pbc' - from a randomForest[S]RC for
                        the 'pbc' data set ('randomForestSRC' package)
