biasEliminatedCoverage: Calculate the bias-eliminated coverage

In simMetric: Metrics (with Uncertainty) for Simulation Studies that Evaluate Statistical Methods

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,
  ...
)

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.

Value

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

Examples

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

simMetric documentation built on Nov. 1, 2022, 1:06 a.m.