Description Usage Arguments Value Author(s) See Also Examples

View source: R/diagnostic_AM.R

Diagnostic check for convergence of Assess models during MSE.
Assess models write output to the DLMenv environment if the MP was created with make_MP
with argument `diagnostic = TRUE`

. This function summarizes and plots the diagnostic information.

1 | ```
diagnostic_AM(MSE, MP = NULL, gradient_threshold = 0.1, figure = TRUE)
``` |

`MSE` |
An object of class MSE created by |

`MP` |
A character vector of MPs with assessment models. |

`gradient_threshold` |
The maximum magnitude (absolute value) desired for the gradient of the likelihood. |

`figure` |
Logical, whether a figure will be drawn. |

A matrix with diagnostic performance of assessment models in the MSE. If `figure = TRUE`

,
a set of figures: traffic light (red/green) plots indicating whether the model converged (defined if a positive-definite
Hessian matrix was obtained), the optimizer reached pre-specified iteration limits (as passed to `nlminb`

),
and the maximum gradient of the likelihood in each assessment run. Also includes the number of optimization iterations
function evaluations reported by `nlminb`

for each application of the assessment model.

Q. Huynh

retrospective_AM

1 2 3 4 5 6 7 8 9 |

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