kurtosis: Kurtosis

In npde: Normalised prediction distribution errors for nonlinear mixed-effect models

Description

Computes the kurtosis.

Usage

  kurtosis(x)

Arguments

x	a numeric vector containing the values whose kurtosis is to be computed. NA values are removed in the computation.

Details

If N = length(x), then the kurtosis of x is defined as:

N sum_i (x_i-mean(x))^4 (sum_i (x_i-mean(x))^2)^(-2) - 3

N sum_i (x_i-mean(x))^4 (sum_i (x_i-mean(x))^2)^(-2) - 3

Value

The kurtosis of x.

References

G. Snedecor, W. Cochran. Statistical Methods, Wiley-Blackwell, 1989

Examples

x <- rnorm(100)
kurtosis(x)

npde documentation built on May 2, 2019, 5:23 p.m.