simCount | R Documentation |

Simulates count survey data assuming a binomial, normal, or Poisson sampling process. For the last two, it is assumed that individuals may be double counted and missed at the same rate.

simCountBin(N, pDetect) simCountNorm(N, sigma) simCountPois(N)

`N` |
annual number of individuals at risk of detection, which may be all adults or just those breeding. The length of the vector determines the number of sampling occasions. |

`pDetect` |
vector with the annual detection probabilities of the individuals at risk of counting; all individuals have the same probability to be counted; a scalar can be used if probability does not change with time. |

`sigma` |
vector with the annual observation error (SD); a scalar can be used if error does not change with time. |

A list with the parameters entered and `count`

with the number of individuals counted in each year.

Michael Schaub

Schaub, M., Kéry, M. (2022) *Integrated Population Models*, Academic Press, section 5.5.1.

# Generate a simulated population: pop <- simPop() pop$breeders # Simulate count data of breeders or of adults simCountBin(pop$totBreeders, p=0.6) simCountNorm(pop$totBreeders, sigma=10) simCountPois(pop$totAdults)

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.