Create bootstrapped ensembles of a model
a model whose data will be used for resampling
how many resampling trials should be created
a data table to use for resampling. This is not needed for many common
model types, such as
The approach to bootstrapping implemented by this function is to create a set of bootstrap
trials all in one go. Then, other functions such as
evaluate_model() will be
used to extract the information from each of the bootstrap replicates. Many model types in R carry the
data used to train the model as part of the model object produced. For these types of models, e.g.
glm, there is no need to provide a value for the
data argument. But there are some
types of models for which the training data cannot be extracted from the model object. In such situations,
data = to provide the data set to use for resampling.
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