[R-sig-ME] How to fix residuals

[Sijia Huang]

Thanks so much, Vince and Mollie!

Best,
Sijia



On Fri, May 8, 2020 at 7:43 AM Vincent Dorie <vdorie using gmail.com> wrote:

> 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 using 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 using 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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>> >
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