Package index • predictNMB

All functions

autoplot(<predictNMBscreen>): Create plots of from screened predictNMB simulations.

autoplot(<predictNMBsim>): Create plots of from predictNMB simulations.

ce_plot(): Create a cost-effectiveness plot.

ce_plot(<predictNMBsim>): Create a cost-effectiveness plot.

do_nmb_sim(): Do the predictNMB simulation, evaluating the net monetary benefit (NMB) of the simulated model.

evaluate_cutpoint_cost(): Evaluates a cutpoint by returning the mean treatment cost per sample.

evaluate_cutpoint_nmb(): Evaluates a cutpoint by returning the mean NMB per sample.

evaluate_cutpoint_qalys(): Evaluates a cutpoint by returning the mean QALYs lost 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 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.