power_beta: Estimate power
In eesim: Simulate and Evaluate Time Series for Environmental Epidemiology

Description Usage Arguments Value Examples

Calculates the estimated power of a hypothesis test that the log relative risk equals 0 at a 5% significance level across all simulated data.

1	power_beta(df)

`df`	A data frame of replicated simulations which must include columns titled `lower_ci` and `upper_ci`.

A data frame with one row with the estimated power of the analysis at the 5% significance level.

sims <- create_sims(n_reps = 10, n = 600, central = 100,
                    sd = 10, exposure_type = "continuous",
                    exposure_trend = "cos1",
                    exposure_amp = 0.6,
                    average_outcome = 20,
                    outcome_trend = "no trend",
                    rr = 1.01)
fits <- fit_mods(data = sims, custom_model = spline_mod,
                 custom_model_args = list(df_year = 1))
power_beta(fits)