# rnegbin

From MASS v7.3-19
by Brian Ripley

##### Simulate Negative Binomial Variates

Function to generate random outcomes from a Negative Binomial distribution,
with mean `mu`

and variance `mu + mu^2/theta`

.

- Keywords
- distribution

##### Usage

`rnegbin(n, mu = n, theta = stop("'theta' must be specified"))`

##### Arguments

- n
- If a scalar, the number of sample values required. If a vector,
`length(n)`

is the number required and`n`

is used as the mean vector if`mu`

is not specified. - mu
- The vector of means. Short vectors are recycled.
- theta
- Vector of values of the
`theta`

parameter. Short vectors are recycled.

##### Details

The function uses the representation of the Negative Binomial distribution
as a continuous mixture of Poisson distributions with Gamma distributed means.
Unlike `rnbinom`

the index can be arbitrary.

##### Value

- Vector of random Negative Binomial variate values.

##### Side Effects

Changes `.Random.seed`

in the usual way.

##### Examples

```
# Negative Binomials with means fitted(fm) and theta = 4.5
fm <- glm.nb(Days ~ ., data = quine)
dummy <- rnegbin(fitted(fm), theta = 4.5)
```

*Documentation reproduced from package MASS, version 7.3-19, License: GPL-2 | GPL-3*

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