Description Usage Arguments Details Note Author(s) Examples

View source: R/MSE_functions.R

Have I undertaken enough simulations (nsim)? Has my MSE converged on stable (reliable) peformance metrics?

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`MSEobj` |
An MSE object of class |

`PMs` |
A list of PM objects |

`maxMP` |
Maximum number of MPs to include in a single plot |

`thresh` |
The convergence threshold. Maximum root mean square deviation over the last |

`ref.it` |
The number of iterations to calculate the convergence statistics. For example, a value of 20 means convergence diagnostics are calculated over last 20 simulations |

`inc.leg` |
Logical. Should the legend be displayed? |

`all.its` |
Logical. Plot all iterations? Otherwise only (nsim-ref.it):nsim |

`nrow` |
Numeric. Optional. Number of rows |

`ncol` |
Numeric. Optional. Number of columns |

Performance metrics are plotted against the number of simulations. Convergence diagonostics
are calculated over the last `ref.it`

(default = 20) iterations. The convergence diagnostics are:

Is the order of the MPs stable over the last

`ref.it`

iterations?Is the average difference in performance statistic over the last

`ref.it`

iterations <`thresh`

?

By default three commonly used performance metrics are used:

Average Yield Relative to Reference Yield

Probability Spawning Biomass is above 0.1BMSY

Probability Average Annual Variability in Yield is < 20 per cent

Additional or alternative performance metrics objects can be supplied. Advanced users can develop their own performance metrics.

See relevant section of the DLMtool User Guide for more information.

A. Hordyk

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