a4aFitMCMC-class | R Documentation |
a4aFitMCMC
The a4aFitMCMC
class extends a4aFitSA
to store information about the MCMC run.
a4aFitMCMC(...)
a4aFitMCMC(...)
## S4 method for signature 'a4aFitMCMC'
a4aFitSA(object, ...)
## S4 method for signature 'a4aFitMCMC'
a4aFit(object, ...)
as.mcmc(x, ...)
## S4 method for signature 'a4aFitMCMC'
as.mcmc(x, ...)
burnin(object, ...)
## S4 method for signature 'a4aFitMCMC'
burnin(object, burnin)
a4aFitMCMCs(object, ...)
## S4 method for signature 'list'
a4aFitMCMCs(object, ...)
## S4 method for signature 'a4aFitMCMC'
a4aFitMCMCs(object, ...)
## S4 method for signature 'missing'
a4aFitMCMCs(object, ...)
... |
additional argument list that might never be used |
object |
object of relevant class (see signature of method) |
x |
an object to be coerced into mcmc |
burnin |
a numeric with the number of iterations to be removed |
A character vector for the object name.
A textual description of the object contents.
A named numeric vector with various values of quant and year ranges, plusgroup, fishing mortality ranges, etc.
The function call
Information on call duration
Fit summary
Estimates of stock numbers-at-age
Estimates of fishing mortality at age
Estimates of catch numbers-at-age
Estimates of survey or CPUE indices-at-age
An object of class SCAMCMC
with information about the MCMC run
All slots in the class have accessor and replacement methods defined that allow retrieving and substituting individual slots.
The values passed for replacement need to be of the class of that slot. A numeric vector can also be used when replacing FLQuant slots, and the vector will be used to substitute the values in the slot, but not its other attributes.
A construction method exists for this class that can take named arguments for
any of its slots. All slots are then created to match the requirements of the
class validity. If an unnamed FLQuant
object is provided, this is used
for sizing, but not for populating any slot.
data(ple4)
data(ple4.index)
obj <- sca(stock=ple4, indices=FLIndices(ple4.index), fit="assessment")
obj
slotNames(obj)
clock(obj)
fitSumm(obj)
flq <- stock.n(obj)
is(flq)
flq <- index(obj)
is(flq)
logLik(obj)
AIC(obj)
BIC(obj)
is(pars(obj))
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