tinyErr: Remove observation, implementation, and process error
Description
Takes an existing OM object and converts it to one without any observation
error, implementation error, very little process error, and/or gradients in
life history parameters and catchability.
Usage
tinyErr(x, ...)# S4 method for OM
tinyErr(x, obs = TRUE, imp = TRUE, proc = TRUE, grad = TRUE, silent = FALSE)
Value
An updated object of class OM
Arguments
- x
An object of class OM
- ...
Arguments to generic function
- obs
Logical. Remove observation error? Obs is replaced with Perfect_Info
- imp
Logical. Remove implementation error? Imp is replaced with Perfect_Imp
- proc
Logical. Remove process error? All sd and cv slots in Stock
and Fleet object are set to 0.
- grad
Logical. Remove gradients? All grad slots in Stock and
qinc in Fleet are set to 0.
- silent
Logical. Display messages?
Details
Useful for debugging and testing that MPs perform as expected under perfect conditions.
Examples
Run this codeOM_noErr <- tinyErr(MSEtool::testOM)
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