View source: R/calc_coverage.R
calc_coverage | R Documentation |
Calculates confidence interval coverage and width. The function also calculates the associated Monte Carlo standard errors. The confidence interval percentage is based on how you calculated the lower and upper bounds.
calc_coverage(
data,
lower_bound,
upper_bound,
true_param,
criteria = c("coverage", "width"),
winz = Inf
)
data |
data frame or tibble containing the simulation results. |
lower_bound |
vector or name of column from |
upper_bound |
vector or name of column from |
true_param |
vector or name of column from |
criteria |
character or character vector indicating the performance
criteria to be calculated, with possible options |
winz |
numeric value for winsorization constant. If set to a finite
value, estimates will be winsorized at the constant multiple of the
inter-quartile range below the 25th percentile or above the 75th percentile
of the distribution. For instance, setting |
A tibble containing the number of simulation iterations, performance criteria estimate(s) and the associated MCSE.
calc_coverage(data = t_res, lower_bound = lower_bound,
upper_bound = upper_bound, true_param = true_param)
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