Description Usage Arguments Examples

This function takes the best fitting model and resamples the data refitting and recomputing the indices to come up with a bootstrapped error estimate for the annual index value.

1 2 | ```
boot_survey_error(best_model, boot_reps = 500, year, variables, pred_pa = 1,
ob_CPUE, distribution = "normal")
``` |

`year` |
Set of habitat variables to use in the modeling |

`variables` |
Set of habitat variables to use in the modeling |

`pred_pa` |
Predicted presence or absence at the transect |

`ob_CPUE` |
Observed CPUE at the transect |

`distribution` |
Either "normal" (the default) or "gamma" |

`form` |
for each variable, a form for the model equation (1, 2 or 3) |

`par` |
values for each of the parameters |

1 | ```
dist_xy()
``` |

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