ci_kurtosis: CI for the Kurtosis

In confintr: Confidence Intervals

CI for the Kurtosis

Description

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.

Usage

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.

See Also

kurtosis(), ci_skewness()

Examples

x <- 1:20
ci_kurtosis(x, R = 999)  # Use larger R

confintr documentation built on June 7, 2023, 6:24 p.m.