simMultMix {AHMbook} | R Documentation |

## Simulate the multinomial-mixture model

### Description

Simulation of "removal" data from a multinomial-mixture model.

### Usage

```
simMultMix(nsites = 100, nsurveys = 3, nyears = 4,
lambda = 3, theta = 0.5, p = 0.3)
```

### Arguments

`nsites` |
number of sites. |

`nsurveys` |
number of replicate (secondary) samples |

`nyears` |
number of primary samples: years, seasons etc. |

`lambda` |
expected local population size. |

`theta` |
availability, the proportion of the population available for detection. |

`p` |
detection probability. |

### Value

A list with the values of the input arguments and the following additional elements:

`M` |
true local population size, vector length nsites |

`N` |
true number available for detection, vector length nsites |

`y` |
number detected, nsites x nyears x nsurveys |

`y2d` |
number detected as a matrix, nsites x (nyears*nsurveys) |

### Author(s)

Marc Kéry & Andy Royle, adapting code in documentation for `gmultmix`

by Richard Chandler.

### References

Chandler, R.B., Royle, J.A. & King. D.I. (2011) Inference about density and temporary emigration in unmarked populations. *Ecology*, 92, 1429-1435.

Kéry, M. & Royle, J.A. (2021) *Applied Hierarchical Modeling in Ecology* AHM2 - 2.7.1.

### Examples

```
# Simulate a data set with the default arguments and look at the structure of the output:
tmp <- simMultMix()
str(tmp)
```

*AHMbook*version 0.2.9 Index]