udnbinom: UNU.RAN object for Negative Binomial distribution

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

UNU.RAN object for Negative Binomial distribution

Description

Create UNU.RAN object for a Negative Binomial distribution with parameters size and prob.

[Distribution] – Negative Binomial.

Usage

udnbinom(size, prob, lb = 0, ub = Inf)

Arguments

size	target for number of successful trials, or dispersion parameter (the shape parameter of the gamma mixing distribution). Must be strictly positive.
prob	probability of success in each trial. 0 < prob <= 1.
lb	lower bound of (truncated) distribution.
ub	upper bound of (truncated) distribution.

Details

The Negative Binomial distribution with size = n and prob = p has density

p(x) = Gamma(x+n)/(Gamma(n) x!) p^n (1-p)^x

for x = 0, 1, 2, …, n > 0 and 0 < p ≤ 1. This represents the number of failures which occur in a sequence of Bernoulli trials before a target number of successes is reached.

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

Value

An object of class "unuran.discr".

Author(s)

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

References

N.L. Johnson, S. Kotz, and A.W. Kemp (1992): Univariate Discrete Distributions. 2nd edition, John Wiley & Sons, Inc., New York. Sect. 5.1, p. 200.

See Also

unuran.discr.

Examples

## Create distribution object for Negative Binomial distribution
dist <- udnbinom(size=100, prob=0.33)
## Generate generator object; use method DARI
gen <- darid.new(dist)
## Draw a sample of size 100
x <- ur(gen,100)

Runuran documentation built on Jan. 17, 2023, 5:17 p.m.