rsubbo: Produces a random sample from a Subbotin distribution

In Rsubbotools: Fast Estimation of Subbottin and AEP Distributions (Generalized Error Distribution)

Produces a random sample from a Subbotin distribution

Description

Generate pseudo random-number from a Subbotin distribution using the Tadikamalla method.

Usage

rsubbo(n, m = 0, a = 1, b = 2)

Arguments

n	(int) - the size of the sample.
m	(numeric) - the location parameter.
a	(numeric) - the scale parameter.
b	(numeric) - the shape parameter.

Details

The Subbotin distribution is given by the function:

f(x;a,b,m) = \frac{1}{A} e^{- \frac{1}{b} \left|\frac{x-m}{a}\right|^b}

where m is a location parameter, b is a shape parameter, a is a scale parameter and \Gamma representes the gamma function. Since the Subbotin distribution is basically the exponential distribution with scale parameter a = ab^{1/b} and m=0, we use the same method of the exponential power RNG and add the location parameter. Details can be found on the documentation of the rpower function.

Value

a numeric vector containing a random sample.

Examples

sample_gamma <- rsubbo(1000, 1, 1)

Rsubbotools documentation built on April 16, 2025, 5:10 p.m.