Converge: Check Convergence

In MSEtool: Management Strategy Evaluation Toolkit

Check Convergence

Description

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

Usage

Converge(
  MSEobj,
  PMs = c("Yield", "P10", "AAVY"),
  maxMP = 15,
  thresh = 0.5,
  ref.it = 20,
  inc.leg = FALSE,
  all.its = FALSE,
  nrow = NULL,
  ncol = NULL,
  silent = FALSE
)

Arguments

MSEobj	An MSE object of class 'MSE'
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 iterations
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?

Details

Performance metrics are plotted against the number of simulations. Convergence diagnostics are calculated over the last ref.it (default = 20) iterations. The convergence diagnostics are:

1. Is the order of the MPs stable over the last ref.it iterations?

2. Is the average difference in performance statistic over the last ref.it iterations < thresh?

By default three commonly used performance metrics are used:

1. Average Yield Relative to Reference Yield

2. Probability Spawning Biomass is above 0.1BMSY

3. 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.

Value

A table of convergence results for each MP

Author(s)

A. Hordyk

Examples

## Not run: 
MSE <- runMSE()
Converge(MSE)

## End(Not run)

MSEtool documentation built on Sept. 30, 2024, 9:22 a.m.