How to fix residuals
Hi Sijia, You might find the section in the GLMM FAQ helpful: https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#setting-residual-variances-to-a-fixed-value-zero-or-other. You can use those to fix the residual variance to 1, and then use a weights vector if necessary to give every observation its own fixed variance. Best, Vince On Fri, May 8, 2020 at 9:55 AM Mollie Brooks <mollieebrooks at gmail.com> wrote:
It might be possible to do that with glmmTMB using the argument `start` to specify the values and using `map` to force them to stay at the starting values. The tricky part is figuring out what parameter to fix and at what values. Can you give a reproducible example so we have more to work with? cheers, Mollie
On 7May 2020, at 7:24, Sijia Huang <huangsjcc at gmail.com> wrote: Hi, I am using lme4 to fit cross-classified models, and I am wondering if it
is
possible to fix the residual (associated with each observation) to a
certain value in lme4 -- analogous to the *hold* argument in SAS PROC.
Thank you so much! Looking forward to your reply!
Best,
Sijia
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