| tinyErr {MSEtool} | R Documentation | 
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 signature 'OM'
tinyErr(x, obs = TRUE, imp = TRUE, proc = TRUE, grad = TRUE, silent = FALSE)
Arguments
| x | An object of class  | 
| ... | Arguments to generic function | 
| obs | Logical. Remove observation error?  | 
| imp | Logical. Remove implementation error?  | 
| proc | Logical. Remove process error? All  | 
| grad | Logical. Remove gradients? All  | 
| silent | Logical. Display messages? | 
Details
Useful for debugging and testing that MPs perform as expected under perfect conditions.
Value
An updated object of class OM
Examples
OM_noErr <- tinyErr(MSEtool::testOM)
[Package MSEtool version 3.7.1 Index]