R: Ensembles of Caret Models

# Ensembles of Caret Models

## Documentation for package ‘caretEnsemble’ version 4.0.2

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

## Help Pages

caretEnsemble-package | Combine several predictive models via weights
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
[.caretList | Index a caretList