CI for the Kurtosis

This function calculates bootstrap CIs for the population kurtosis. Note that we use the version of the kurtosis that equals 3 under a normal distribution, i.e., we are not calculating the excess kurtosis. By default, bootstrap type "bca" is used.

ci_kurtosis(
  x,
  probs = c(0.025, 0.975),
  type = "bootstrap",
  boot_type = c("bca", "perc", "norm", "basic"),
  R = 9999L,
  seed = NULL,
  ...
)

Arguments

x: A numeric vector.
probs: Lower and upper probabilities, by default c(0.025, 0.975).
type: Type of CI. Currently not used as the only type is "bootstrap".
boot_type: Type of bootstrap CI. Only used for type = "bootstrap".
R: The number of bootstrap resamples. Only used for type = "bootstrap".
seed: An integer random seed. Only used for type = "bootstrap".
...: Further arguments passed to boot::boot().

Value

An object of class "cint", see ci_mean() for details.

Examples

x <- 1:20
ci_kurtosis(x, R = 999)  # Use larger R
#> 
#> 	Two-sided 95% bootstrap confidence interval for the population kurtosis
#> 	based on 999 bootstrap replications and the bca method
#> 
#> Sample estimate: 1.793985 
#> Confidence interval:
#>     2.5%    97.5% 
#> 1.375140 2.486422 
#>

Arguments

Value

See also

Examples