perfect.oem | R Documentation |
This observation error model function generates a set of perfect observations on catches, biology and abundance. Direct observations are made of the stock, while a single age-structured index of abundance, in numbers, is created with a fixed catchability of 0.01. deviances on either stk$catch.n or idx$index, if given, are applied.
perfect.oem(stk, deviances, observations, args, tracking, biomass = FALSE, ...)
deviances |
A named list of observation deviances, class list. |
observations |
A list of past observations, extended to the end of om, class list. |
args |
The mp dimensions arguments, as generated by |
tracking |
Object to track module decisions and outputs, class FLQuant. |
om |
An operating model, class FLom or FLombf. |
This oem function generates a full observation time series every time step, and does not append them to existing objects in observations.
A named list with elements stk (FLStock), idx (FLIndices), deviances, observations and tracking.
# On FLom
data(sol274)
obs <- perfect.oem(stock(om), deviances=NULL, observations=NULL,
args=list(y0=1957, dy=2021), tracking=FLQuant())
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