@arni-magnusson,
Thanks for the correction.
From the GitHub Actions artifact, it looks like the resulting equation

matches A.1.5 in the Methot & Wetzel (2013) supplemental material

Great work, @iantaylor-NOAA, deriving the equation in the first place!

Wasn't me doing the deriving and credit goes to @chantelwetzel-noaa for adding the additional detail from the 2013 paper into the User Manual.

Ha, that's interesting. In 982e553, Rick added a comment
//Ian Taylor derived the formula for Linf
so I took that at face value :)

I find it appropriate that just as L1, L2, and Linf are all pointing at each other, @chantelwetzel-noaa, @iantaylor-NOAA, and @Rick-Methot-NOAA are doing the same...

In the current draft of our tuna assessment reference handbook, the section heading now reads "Wetzel-Taylor Theorem of Growth Transformation".

Maybe I just have very bad memory.
@arni-magnusson is your tuna assessment reference handbook just an internal SPC document, or publicly accessible.

In reciprocity I offer this link to the Unofficial NWFSC and SWFSC Groundfish Stock Assessment Handbook https://pfmc-assessments.github.io/pfmc_assessment_handbook/ which is intended for internal use but is publicly accessible.

Thanks for sharing the NWFSC and SWFSC Groundfish Stock Assessment Handbook. It's well organized and super informative.

Sorry to disappoint, but the tuna assessment reference handbook I was referring to only contains one section, the
Wetzel-Taylor Theorem of Growth Transformation :)

Nonetheless, we have:

1. CAPAM Tuna Stock Assessment Good Practices from March this year.

2. SPC Proper - Quality Assurance and Quality Control for SPC Assessments, which is taking shape. It consists mainly of:

• A standard directory tree.
• General guidelines on how to write reproducible R scripts and organize selected parts of the assessment work on GitHub.
• An R package that checks how well a given assessment conforms to the agreed way to work, measuring how well an assessment has been parked. (Currently a single-function package skeleton, created last week.)

SPC Proper is partly inspired by ICES TAF and GFCM STAR, which have somewhat comparable aims. The latter includes an R package that runs a suite of QC functions to check which quality criteria are fulfilled, before database import of GFCM stock assessment results. Above all, though, Proper is tailored to address the top priority need at SPC to ensure that all the elements of a stock assessment can be picked up 3 years later by a new stock assessor, as efficiently as possible.