coverage_beta: Empirical coverage of confidence intervals

Description Usage Arguments Value Examples

View source: R/assess_performance.R

Description

Calculates the percent of simulations in which the estimated 95% confidence interval for the log relative risk includes the true value of the log relative risk.

Usage

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coverage_beta(df, true_rr)

Arguments

df

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

true_rr

The true relative risk used to simulate the data.

Value

A data frame with the percent of confidence intervals for the estimated log relative risk over n_reps simulations which include the true log relative risk.

Examples

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sims <- create_sims(n_reps = 10, n = 600, central = 100,
                    sd = 10, exposure_type = "continuous",
                    exposure_trend = "cos1", exposure_slope=1,
                    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))
coverage_beta(df=fits, true_rr = 1.02)

eesim documentation built on June 4, 2017, 1:03 a.m.