autoplot.predictNMBscreen
                        Create plots of from screened predictNMB
                        simulations.
autoplot.predictNMBsim
                        Create plots of from predictNMB simulations.
do_nmb_sim              Do the predictNMB simulation, evaluating the
                        net monetary benefit of the simulated model.
evaluate_cutpoint       Evaluates a cutpoint by returning the mean NMB
                        per sample.
get_inbuilt_cutpoint    Get a cutpoint using the methods inbuilt to
                        predictNMB
get_inbuilt_cutpoint_methods
                        Get a vector of all the inbuilt cutpoint
                        methods
get_nmb_sampler         Make a NMB sampler (an R function) for use in
                        'do_nmb_sim()' or 'screen_simulation_inputs()'
get_sample              Samples data for a prediction model with a
                        specified AUC and prevalence.
get_thresholds          Gets probability thresholds given predicted
                        probabilities, outcomes and NMB.
print.predictNMBscreen
                        Print a summary of a predictNMBscreen object
print.predictNMBsim     Print a summary of a predictNMBsim object
screen_simulation_inputs
                        Screen many simulation inputs: a parent
                        function to 'do_nmb_sim()'
summary.predictNMBscreen
                        Create table summaries of 'predictNMBscreen'
                        objects.
summary.predictNMBsim   Create table summaries of 'predictNMBsim'
                        objects.
theme_sim               Returns a 'ggplot2' theme that reduces clutter
                        in an 'autoplot()' of a 'predictNMBsim' object.
