Package index • optic

Models

Specify the candidate estimators a simulation will compare.

optic_model(): Optic Model
model_terms(): Parse a formula object into its left-hand-side and right-hand-side components

Simulation setup

Configure the data-generating scenarios and policy exposure.

optic_simulation(): Create a configuration object used to run simulations
calculate_exposure(): Calculates the exposure rate applied to each year provided month of policy implementation and number of years to full implementation
exposure_list(): Applies a time-varying treatment effect

Running simulations

dispatch_simulations(): Dispatch Simulations

Performance metrics

Summarize simulation runs and score each model’s behavior.

summarize_simulation(): Summarize simulation results
sim_bias(): Bias of point estimates
sim_mse(): Mean squared error
sim_coverage(): Coverage of confidence intervals
sim_rejection_rate(): Rejection rate (Type I error under the null)
sim_correct_rejection_rate(): Correct rejection rate
sim_type_s_error(): Type S (sign) error rate
sim_correction_factor(): Empirical correction factor

Data

overdoses: OPTIC Overdoses example data.