ci_mad: CI for the MAD

In confintr: Confidence Intervals

CI for the MAD

Description

This function calculates bootstrap CIs (default: "bca") for the population median absolute deviation (MAD), see stats::mad() for more information.

Usage

ci_mad(
  x,
  probs = c(0.025, 0.975),
  constant = 1.4826,
  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).
constant	Scaling factor applied. The default (1.4826) ensures that the MAD equals the standard deviation for a theoretical normal distribution.
type	Type of CI. Currently not used as the only type is "bootstrap".
boot_type	Type of bootstrap CI c("bca", "perc", "norm", "basic").
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 <- rnorm(100)
ci_mad(x, R = 999)  # Use larger R

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