Description Usage Arguments Details Value 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 character vector of names of the PM methods or a list of the PM methods  | 
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  | 
silent | 
 Hide the messages printed in console?  | 
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.
A table of convergence results for each MP
See relevant section of the DLMtool User Guide for more information.
A. Hordyk
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