estimate_ci_coverage: Estimate confidence interval coverage for a...

In audreyrenson/didgformula: The difference-in-differences g-formula

Estimate confidence interval coverage for a normality-assuming interval based on the simulation variance.

Description

Estimate confidence interval coverage for a normality-assuming interval based on the simulation variance.

Usage

estimate_ci_coverage(results_df, estimates_truth, conf_level = 0.95)

Arguments

results_df	Data frame with columns 'rep' and 'estimates' where 'estimates' is a list of tibble output results from either iptw_pipeline(), ice_pipeline(), or or_pipeline().
estimates_truth	Data frame with columns 't' and 'estimate', with the 'true' value of E(Y_t(a)-Y_t-1(a)) for t=1,...,T
conf_level	num. level of confidence, e.g. .95 is a 95% confidence interval

Value

data frame with coverage estimates

audreyrenson/didgformula documentation built on Oct. 9, 2022, 11:45 a.m.