The function is used to obtain the method of moments estimator within the function `GVFCMOM`

.

Calculates the expected value of the Visual Fast Count method.
The function assumes that the count per segment is Negative Binomial with mean `m/s`

and size `k`

,
and that segment counts are independent. The expected value is also a function of the number of positives
`d`

before segment counting is stopped.

1 | ```
expected.nb(k, m, s, d)
``` |

`k` |
Size parameter of the Negative Binomial distribution |

`m` |
The mean of the Negative Binomial distribution per transect |

`s` |
The number of segments per transect |

`d` |
The number of positive counts before segment counting is stopped |

The expected value of the Visual Fast Count estimator

Jon Barry: Jon.Barry@cefas.co.uk

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