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After using the subsampling methods under potential model misspecification we obtain their respective AMSE values for the predictions. They are summarised as plots here.

Usage

plot_AMSE(object)

Arguments

object

Any object after subsampling from our subsampling function under potential model misspecification

Value

The output is a faceted ggplot result

Details

For A- and L-optimality criteria and RLmAMSE subsampling under Generalised Linear Models with potential model misspecification the facets are for variance and bias^2 of AMSE values.