Calibrate the model scale to match total observed yieldSource:
Given a MizerParams object
params for which yield observations are
available for at least some species via the
yield_observed column in the
species_params data frame, this function returns an updated MizerParams
object which is rescaled with
scaleModel() so that the total yield in
the model agrees with the total observed yield.
After using this function the total yield in the model will match the
total observed yield, summed over all species. However the yields of the
individual species will not match observations yet, with some species
having yields that are too high and others too low. So after this
function you may want to use
If you have observations of species biomasses instead of yields, you can
calibrateBiomass() instead of this function.
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) params2 <- calibrateYield(params) plotYieldObservedVsModel(params2) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout.