All functions
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initialize(<FLiem>) iters(<FLiem>)
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S4 class FLiem |
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FLmse() FLmse() tracking() `tracking<-`() control() `control<-`() oem() `oem<-`() args(<FLmse>) `args<-`(<FLmse>,<list>)
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S4 class FLmse |
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FLoem() FLoem() observations() `observations<-`() deviances() `deviances<-`() show(<FLoem>) iters(<FLoem>) combine(<FLoem>,<FLoem>) `fleetBehaviour<-`(<FLom>,<mseCtrl>) `projection<-`(<FLom>,<mseCtrl>)
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S4 class FLoem |
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FLom() FLom() stock(<FLom>) `stock<-`(<FLom>,<FLStock>) sr(<FLom>) `sr<-`() refpts(<FLom>) `refpts<-`(<FLom>,<FLPar>) fleetBehaviour() `fleetBehaviour<-`() projection() `projection<-`() show(<FLom>) `tracking<-`(<FLmse>,<FLQuant>) `control<-`(<FLmse>,<FLQuant>) `oem<-`(<FLmse>,<FLQuant>)
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A class for an operating model (OM) |
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effort.is()
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effort implementation function |
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fixedF.hcr()
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A fixed target f |
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fwd.om()
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A method to project the operating model (OM) |
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expandGrid() gridList()
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Functions to create grids and lists of model and simulation runs |
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ices.hcr()
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Evaluate the chosen HCR function |
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indicator.hcr()
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A indicator based HCR |
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indicator.is()
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indicator implementation function |
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mcN(<FLQuant>)
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Compute number of necessary Monte Carlo runs |
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initialize(<mpCtrl>) est() `est<-`() phcr() `phcr<-`() hcr() `hcr<-`() isys() `isys<-`() tm() `tm<-`() show(<mpCtrl>) iters(<mpCtrl>) exists()
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S4 class mpCtrl |
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initialize(<mseCtrl>) method() `method<-`() args() `args<-`() show(<mseCtrl>) exists()
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S4 class mseCtrl |
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performance(<FLStock>) performance(<FLQuants>) performance(<FLStocks>) performance(<list>)
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Compute performance indicators |
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tac.is()
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TAC implementation function |
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tune()
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tune |