[.caretList             Index a caretList
add_cross_group_stats   Add cross-group statistics to the importance
                        table
as.caretList            Convert object to caretList object
as.caretList.default    Convert object to caretList object - For Future
                        Use
as.caretList.list       Convert list to caretList
autoplot.caretStack     Convenience function for more in-depth
                        diagnostic plots of caretStack objects
c.caretList             S3 definition for concatenating caretList
c.train                 S3 definition for concatenating train objects
caretEnsemble           Combine several predictive models via weights
caretList               Create a list of several train models from the
                        caret package
caretModelSpec          Generate a specification for fitting a caret
                        model
caretStack              Combine several predictive models via stacking
defaultControl          Construct a default train control for use with
                        caretList
defaultMetric           Construct a default metric
dotplot.caretStack      Comparison dotplot for a caretStack object
extractMetric           Generic function to extract accuracy metrics
                        from various model objects
extractMetric.caretList
                        Extract accuracy metrics from a 'caretList'
                        object
extractMetric.caretStack
                        Extract accuracy metrics from a 'caretStack'
                        object
extractMetric.train     Extract accuracy metrics from a 'train' model
greedyMSE               Greedy optimization for MSE
greedyMSE_caret         caret interface for greedyMSE
permutationImportance   Permutation Importance
plot.caretList          Plot a caretList object
plot.caretStack         Plot a caretStack object
plot_group              Plot a group of variable importances
plot_variable_importance
                        Plot Variable Importance from a caretStack
                        Model
predict.caretList       Create a matrix of predictions for each of the
                        models in a caretList
predict.caretStack      Make predictions from a caretStack
predict.greedyMSE       Predict method for greedyMSE
prepare_importance      Prepare variable importance data.table from a
                        caretStack
print.caretStack        Print a caretStack object
print.greedyMSE         Print method for greedyMSE
print.summary.caretList
                        Print a summary.caretList object
print.summary.caretStack
                        Print a summary.caretStack object
summary.caretList       Summarize a caretList
summary.caretStack      Summarize a caretStack object
tuneCheck               Check that the tuning parameters list supplied
                        by the user is valid
varImp.caretStack       Variable importance for caretStack
varImp.greedyMSE        variable importance for a greedyMSE model
wtd.sd                  Calculate a weighted standard deviation
