mse_calc: Compute mean squared errors (MSE) for indices
In nikolaifish/bamExtras: Functions and Data in Support of Stock Assessments with the Beaufort Assessment Model (BAM)
mse_calc R Documentation
Compute mean squared errors (MSE) for indices
Description
Compute mean squared errors (MSE) for indices
Usage
mse_calc(x)
Arguments
x
a BAM rdat object, i.e. x <- dget(rdat)
Author(s)
Nikolai Klibansky
Examples
## Not run:
mse_calc(rdat_BlackSeaBass)
## End(Not run)
nikolaifish/bamExtras documentation built on April 17, 2025, 9:44 p.m.
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| mse_calc | R Documentation |
Compute mean squared errors (MSE) for indices
Description
Compute mean squared errors (MSE) for indices
Usage
mse_calc(x)
Arguments
x |
a BAM rdat object, i.e. x <- dget(rdat) |
Author(s)
Nikolai Klibansky
Examples
## Not run:
mse_calc(rdat_BlackSeaBass)
## End(Not run)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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