diagnostic_AM: diagnostic_AM (diagnostic of Assessments in MSE): Did Assess...
In tcarruth/MSEtool: Management Strategy Evaluation Toolkit

Description Usage Arguments Value Author(s) See Also Examples

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 `runMSE`. If no MSE object is available, use argument `MP` instead.
`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

## Not run: 
DD_MSY <- make_MP(DD_TMB, HCR_MSY, diagnostic = "min")
show(DD_MSY)

##### Ensure that PPD = TRUE in runMSE function
myMSE <- runMSE(DLMtool::testOM, MPs = "DD_MSY", PPD = TRUE)
diagnostic_AM(myMSE)

## End(Not run)