View source: R/multi_q_estimation.R
getq_multi_MICE | R Documentation |
Function optimizes catchability (q, where F=qE) required to get to user-specified stock depletion across stocks and fleets if there are relationships among stocks
getq_multi_MICE(
x,
StockPars,
FleetPars,
np,
nf,
nareas,
maxage,
nyears,
N,
VF,
FretA,
maxF = 0.9,
MPA,
CatchFrac,
bounds = c(1e-05, 15),
tol = 1e-06,
Rel,
SexPars,
plusgroup,
optVB = FALSE,
silent = FALSE
)
x |
Integer, the simulation number |
StockPars |
A list of sampled stock parameters, one list element per stock |
FleetPars |
A hierarchical list of sampled fleet parameters, first list level is stock, second is fleet |
np |
The number of stocks |
nf |
The number of fleets |
nareas |
The number of areas |
maxage |
The maximum number of modeled ages |
nyears |
The number of historical 'spool-up' years (from unfished to now) |
N |
An array of stock numbers |
VF |
An array of vulnerability |
FretA |
An array of retention |
maxF |
A numeric value specifying the maximum fishing mortality for any single age class |
MPA |
An array of spatial closures by year |
CatchFrac |
A list of stock-specific fleet fractions of current catch
list |
bounds |
Bounds for total q estimation |
tol |
A numeric value that is the fraction of machine tolerance (once reduction in objective function steps below this, optimization ends) |
Rel |
A list of inter-stock relationships see slot Rel of MOM object class |
SexPars |
A list of sex-specific dynamics SSBfrom stock_age |
optVB |
Logical, whether to optimize to vulnerable biomass (or spawning biomass otherwise) |
silent |
Logical, whether to report the objective function for each simulation |
T.Carruthers
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