[R-sig-ME] Fixing variance components in glmmTMB

[Tempelman, Robert]

Got it working now...somebody passed onto me this nugget last night:

As of version 1.1.9<https://urldefense.com/v3/__https://cloud.r-project.org/web/packages/glmmTMB/news.html__;!!HXCxUKc!3__nPeuzixezIKH5upUs1PNx5jNLFsdcOqcwQWHN51gD4oFrwbgDeYztNRxll4gyEb7taAg9_BAvDR22KK2sHOPh$>, the argument corresponding to the residual variance (�betad�) is parameterized on the log-SD scale instead of the log-variance scale.   In version 1.1.10, this argument changed from �betad� to �betadisp�.

I had "betad" in all of my older code.

________________________________
From: R-sig-mixed-models <r-sig-mixed-models-bounces using r-project.org> on behalf of Ben Bolker <bbolker using gmail.com>
Sent: Wednesday, January 22, 2025 10:09 AM
To: r-sig-mixed-models using r-project.org <r-sig-mixed-models using r-project.org>
Subject: Re: [R-sig-ME] Fixing variance components in glmmTMB

   Not intentionally/not that I know of.  Is this approach not working
for you?  Can you provide a reproducible example of what you want to do
and why it's not working, either here or on Stack Overflow or in the
glmmTMB issues list?

   cheers
    Ben Bolker

On 2025-01-21 2:33 p.m., Tempelman, Robert wrote:
> Has the latest version of glmmTMB remove the ability to fix variance components in a mixed model?  i.e. https://urldefense.com/v3/__https://stackoverflow.com/questions/77585084/fix-variance-components-in-a-mixed-model-in-r-glmmtmb-or-sommer__;!!HXCxUKc!0JqqzBv9yhXtOwmzXwSK3-59lOHI4g6zhLf-6JJ68JqDL9s1FxMJj8YE8o-UAvt5UX4EQ3yV-1PGenM$
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