udlogis: UNU.RAN object for Logistic distribution

In Runuran: R Interface to the 'UNU.RAN' Random Variate Generators

UNU.RAN object for Logistic distribution

Description

Create UNU.RAN object for a Logistic distribution with parameters location and scale.

[Distribution] – Logistic.

Usage

udlogis(location=0, scale=1, lb=-Inf, ub=Inf)

Arguments

location	location parameter.
scale	(strictly positive) scale parameter.
lb	lower bound of (truncated) distribution.
ub	upper bound of (truncated) distribution.

Details

The Logistic distribution with location = \mu and scale = \sigma has distribution function

F(x) = \frac{1}{1 + e^{-(x-\mu)/\sigma}}

and density

f(x) = \frac{1}{\sigma}\frac{e^{(x-\mu)/\sigma}}{(1 + e^{(x-\mu)/\sigma})^2}

The domain of the distribution can be truncated to the interval (lb,ub).

Value

An object of class "unuran.cont".

Author(s)

Josef Leydold and Wolfgang H\"ormann [e-mail].

References

N.L. Johnson, S. Kotz, and N. Balakrishnan (1995): Continuous Univariate Distributions, Volume 2. 2nd edition, John Wiley & Sons, Inc., New York. Chap. 23, p. 115.

See Also

unuran.cont.

Examples

## Create distribution object for standard logistic distribution
distr <- udlogis()
## Generate generator object; use method PINV (inversion)
gen <- pinvd.new(distr)
## Draw a sample of size 100
x <- ur(gen,100)

Runuran documentation built on April 12, 2025, 1:35 a.m.