This function bootstraps model predictions and generates variable profiles for each response variable.
Arguments
- mrIMLobj
A list object output by
mrIMLpredicts().- num_bootstrap
The number of bootstrap samples to generate (default: 10).
- downsample
Logical. Should the bootstrap samples be downsampled? (default: FALSE).
Examples
# Specify a random forest tidy model
mrIML_rf <- mrIML::mrIML_bird_parasites_RF
#future::plan(multisession, workers = 4)
mrIML_bootstrap <- mrIML_rf %>%
mrBootstrap(
num_bootstrap = 50
)
#>
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