Remove observation, implementation, and process error

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)

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?

Value

An updated object of class OM

Details

Useful for debugging and testing that MPs perform as expected under perfect conditions.

Examples

OM_noErr <- tinyErr(MSEtool::testOM)
#> ✔ Removing all Observation Error
#> ✔ Removing all Implementation Error
#> ✔ Removing all Process Error
#> ✔ Removing all Gradients