simMetric (version 0.1.1)

biasEliminatedCoverage: Calculate the bias-eliminated coverage

Description

Estimate the bias-eliminated coverage and the Monte Carlo standard error of this estimate given a vector of confidence intervals and the true value.

Usage

biasEliminatedCoverage(
  estimates,
  ll,
  ul,
  get = c("biasEliminatedCoverage", "biasEliminatedCoverage_mcse"),
  na.rm = FALSE,
  ...
)

Value

A named vector containing the estimate and the Monte Carlo standard error for the coverage.

Arguments

estimates

A numeric vector containing the estimates from the model(s).

ll

A numeric vector containing the lower limits of the confidence intervals.

ul

A numeric vector containing the upper limits of the confidence intervals.

get

A character vector containing the values returned by the function.

na.rm

A logical value indicating whether NA values for ll and ul should be removed before coverage estimation.

...

Additional arguments to be ignored.

Examples

biasEliminatedCoverage(estimates=rnorm(4), ll=c(-1, -1, -1, -1), ul=c(1, 1, 1, -0.5))