add_lagged_covariates   Augment dataframe with lagged covariates
adjust_data             Adjust an outcome time series based on the
                        group weights.
aggregate_data          Aggregate grouped data
aggregate_simulation_results
                        Test a passed test statistic on the simulated
                        data
calculate_average_outcome
                        Summary function for
                        summarize.simulation.results
calculate_group_weights
                        Calculate proportion of subgroups across time
extrapolate_model       Extrapolate pre-policy data to post-policy era
fit_model_default       Default ITS model
generate_fake_data      Make fake data for testing purposes.
generate_fake_grouped_data
                        A fake DGP with time varying categorical
                        covariate for illustrating the code.
make_envelope_graph     Make envelope style graph with associated
                        smoothed trendlines
make_fit_season_model   Make a fit_model that takes a seasonality
                        component
make_many_predictions   Generate a collection of raw counterfactual
                        trajectories
make_model_smoother     Make a smoother that fits a model and then
                        smooths residuals
meck_subgroup           Mecklenberg data by subgroup of charge type
mecklenberg             Mecklenberg PSA Reform Data
newjersey               New Jersey PSA Reform aggregate data
process_outcome_model   Generate an ITS extrapolation simulation.
simITS                  'simITS' package overview
smooth_residuals        Smooth residuals after model fit
smooth_series           Smooth a series using a static loess smoother
