Description Usage Arguments Details Value Note Author(s) Examples

It takes parameter estimates from output by CatDynFit() from a single model fit and creates a neat table of estimates, dates in ISO 8601 format for each abundance input/output, and coefficient of variation of estimates.

1 |

`x` |
A single model object of class catdyn output by CatDynFit(). |

`method` |
The numerical method used to minimize the loglikelihod of x. |

`partial` |
Logical, FALSE for transit models, TRUE (the default) for all other model versions. |

Arguments x and method must both be of length = 1.

A data.frame with the following columns: parameter names (all estimated parameters, including the dispersion parameter for likelihood options other than Poisson, adjusted profile normal, and adjusted profile lognormal), timing (the data in ISO 8601 format of each input/output event), the maximum likelihood estimates, and the percent coefficient of variation. In two fleet models the last three columns are duplicated, with the fleet name added to the column names.

In model fits with a monthly time step, the timing column includes year and month. In model fits with a weekly time step, the timing includes the full date with initial and final date of that week.

In model fits with a daily time step, the timing includes the full data.

Ruben H. Roa-Ureta (ORCID ID 0000-0002-9620-5224)

1 | ```
#See examples for CatDynFit().
``` |

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