matchYields | R Documentation |
This function has been deprecated and will be removed in the future unless you have a use case for it. If you do have a use case for it, please let the developers know by creating an issue at https://github.com/sizespectrum/mizer/issues.
matchYields(params, species = NULL)
params |
A MizerParams object |
species |
The species to be affected. Optional. By default all observed yields will be matched. A vector of species names, or a numeric vector with the species indices, or a logical vector indicating for each species whether it is to be affected (TRUE) or not. |
If you want to match the yields to observations, you should use the matchYield() function from the mizerExperimental package instead, which adjusts the catchability to match the yield rather than by adjusting the biomass.
The function adjusts the abundances of the species in the model so that their yearly yields under the given fishing mortalities match with observations.
The function works by multiplying for each species the abundance density
at all sizes by the same factor. This will of course not give a steady
state solution, even if the initial abundance densities were at steady state.
So after using this function you may want to use steady()
to run the model
to steady state, after which of course the yields will no longer match
exactly. You could then iterate this process. This is described in the
blog post at https://bit.ly/2YqXESV.
Before you can use this function you will need to have added a
yield_observed
column to your model which gives the observed yields in
grams per year. For species for which you have no observed biomass, you
should set the value in the yield_observed
column to 0 or NA.
A MizerParams object
params <- NS_params
species_params(params)$yield_observed <-
c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78)
gear_params(params)$catchability <-
c(1.3, 0.065, 0.31, 0.18, 0.98, 0.24, 0.37, 0.46, 0.18, 0.30, 0.27, 0.39)
params <- calibrateYield(params)
params <- matchYields(params)
plotYieldObservedVsModel(params)
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