# rmixnegbinom

From LPsmooth v0.1.0
by Xiangyu Zhang

##### Random numbers generator for negative binomial mixtures

Generates random samples from a mixture of negative binomials.

##### Usage

`rmixnegbinom(n, pis, size, probs)`

##### Arguments

- n
Size of the random sample.

- pis
A vector collecting the mixture weights. See details.

- size
A postive value corresponding to the target for number of successful trials. See details.

- probs
A vector collecting the probabilities of success for every mixture component.

##### Details

The argument `pis`

is a vector with length equal the number of components in the mixture. The vector `pis`

must sum up to one, e.g. `c(0.7, 0.2, 0.1)`

.
All the negative binomials contributing to the mixture are assumed to have the same `size`

.

##### Value

A vector collecting the random sample of size `n`

from the mixture of negative binomials specified.

##### See Also

##### Examples

```
# NOT RUN {
rmixnegbinom(n=100,pis=c(0.3,0.6,0.1),size=2,probs=c(0.3,0.4,0.2))
# }
```

*Documentation reproduced from package LPsmooth, version 0.1.0, License: GPL-3*

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