Ensembles of Caret Models

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Documentation for package ‘caretEnsemble’ version 2.0.3

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

Help Pages

caretEnsemble-package	caretEnsemble: Make ensembles of caret models.
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	Convenience function for more in-depth diagnostic plots of caretEnsemble objects
bestPreds	Extract the best predictions from a train object
c.caretList	S3 definition for concatenating caretList
c.train	S3 definition for concatenating train objects
caretEnsemble	caretEnsemble: Make ensembles of caret models.
caretList	Create a list of several train models from the caret package Build a list of train objects suitable for ensembling using the 'caretEnsemble' function.
caretModelSpec	Generate a specification for fitting a caret model
caretStack	Combine several predictive models via stacking
check_bestpreds_indexes	Check row indexes
check_bestpreds_obs	Check observeds
check_bestpreds_preds	Check predictions
check_bestpreds_resamples	Check resamples
check_caretList_classes	Checks caretList model classes
check_caretList_model_types	Checks that caretList models are all of the same type.
dotplot.caretStack	Comparison dotplot for a caretStack object
extractBestPreds	Extract the best predictions from a list of train objects
extractCaretTarget	Extracts the target variable from a set of arguments headed to the caret::train function.
extractCaretTarget.default	Extracts the target variable from a set of arguments headed to the caret::train.default function.
extractCaretTarget.formula	Extracts the target variable from a set of arguments headed to the caret::train.formula function.
extractModelName	Extract the method name associated with a single train object
extractModelTypes	Extracts the model types from a list of train model
extractModFrame	Extract a dataframe of all predictors used in a caretEnsemble object.
extractModRes	Extract the model accuracy metrics of the individual models in an ensemble object.
fortify	Supplement the data fitted to a caret ensemble model with model fit statistics
getBinaryTargetLevel	Return the configured target binary class level
getMetric	Extract accuracy metrics from a model
getMetric.train	Extract accuracy metrics from a model
getMetricSD	Extract accuracy metrics from a model
getMetricSD.train	Extract accuracy metrics from a model
is.caretEnsemble	Check if an object is a caretEnsemble object
is.caretList	Check if an object is a caretList object
is.caretStack	Check if an object is a caretStack object
makePredObsMatrix	Make a prediction matrix from a list of models
methodCheck	Check that the methods supplied by the user are valid caret methods
models.class	caretList of classification models
models.reg	caretList of classification models
multiResiduals	Calculate the residuals from all component models of a caretEnsemble.
plot.caretEnsemble	Plot Diagnostics for an caretEnsemble Object
plot.caretStack	Plot a caretStack object
predict.caretList	Create a matrix of predictions for each of the models in a caretList
predict.caretStack	Make predictions from a caretStack
print.caretStack	Print a caretStack object
residuals.caretEnsemble	Calculate the residuals from a caretEnsemble.
setBinaryTargetLevel	Set the target binary class level
summary.caretEnsemble	Summarize the results of caretEnsemble for the user.
summary.caretStack	Summarize a caretStack object
trControlCheck	Check that the trainControl object supplied by the user is valid and has defined re-sampling indexes.
tuneCheck	Check that the tuning parameters list supplied by the user is valid
validateBinaryTargetLevel	Validate arguments given as binary target level
validateCustomModel	Validate a custom caret model info list
varImp.caretEnsemble	Calculate the variable importance of variables in a caretEnsemble.
wtd.sd	Calculate a weighted standard deviation
X.class	caretList of classification models
X.reg	caretList of classification models
Y.class	caretList of classification models
Y.reg	caretList of classification models
[.caretList	Index a caretList