[R-sig-ME] glmer and influence.me - complaining about nAGQ==0

[Cátia Ferreira De Oliveira]

Dear Professor Bolker,

Thank you for your comment. I haven't been able to find this information
anywhere, but just wanted to check something you said, is the "(tol =
0.002, component 1)" the threshold you referred to?

optimizer (bobyqa) convergence code: 0 (OK)Model failed to converge with
max|grad| = 0.00209134 (tol = 0.002, component 1)

Also, if I run the model without the logRT I will still need to use
the nAGQ==0 right?

Best wishes,

Catia

On Tue, 27 Apr 2021 at 11:01, <r-sig-mixed-models-request using r-project.org>
wrote:

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>    1. Re: glmer and influence.me - complaining about nAGQ==0
>       (=?UTF-8?Q?C=C3=A1tia_Ferreira_De_Oliveira?=)
>    2. Re: glmer and influence.me - complaining about nAGQ==0
>       (Ben Bolker)
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Mon, 26 Apr 2021 17:24:50 +0100
> From: =?UTF-8?Q?C=C3=A1tia_Ferreira_De_Oliveira?= <cmfo500 using york.ac.uk>
> To: r-sig-mixed-models using r-project.org
> Subject: Re: [R-sig-ME] glmer and influence.me - complaining about
>         nAGQ==0
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> i14yf0QJF1MWuNg8MAAuSgwA using mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
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> Thank you for your replies!
>
> Regarding your comment about having logRT in a gamma model with log link, I
> decided to try it after getting this warning if I only use RT as the
> dependent variable:
> (glmer(RT ~ ...)
>
>
>
>
>
> *optimizer (bobyqa) convergence code: 0 (OK)Model failed to converge with
> max|grad| = 0.00209134 (tol = 0.002, component 1)Model is nearly
> unidentifiable: very large eigenvalue - Rescale variables?*
>
> Do you have a better suggestion for dealing with this that does not require
> the log transformation and that may allow me to use the influence.me
> package?
>
> Best wishes,
>
> Catia
>
>         [[alternative HTML version deleted]]
>
>
>
>
> ------------------------------
>
> Message: 2
> Date: Mon, 26 Apr 2021 13:55:11 -0400
> From: Ben Bolker <bbolker using gmail.com>
> To: r-sig-mixed-models using r-project.org
> Subject: Re: [R-sig-ME] glmer and influence.me - complaining about
>         nAGQ==0
> Message-ID: <b515aefb-0bff-d27d-75eb-ff12f4069e42 using gmail.com>
> Content-Type: text/plain; charset="utf-8"; Format="flowed"
>
>
>    These convergence warnings are not necessarily problematic (see
> ?lme4::convergence, for example). In particular, the overly large max
> |grad| is only slightly above the threshold (and, these computations can
> be *less* reliable for very large data sets); the large eigenvalue is
> similarly just a warning, not necessarily a problem.
>
>    Do model diagnostics (e.g. with DHARMa) generally look OK?  You can
> try allFit() if you have some patience.
>
>    The main thing I would do is think carefully/inspect model
> predictions to see whether you think RT is the more appropriate scale.
>
>
>
> On 4/26/21 12:24 PM, Cátia Ferreira De Oliveira via R-sig-mixed-models
> wrote:
> > Thank you for your replies!
> >
> > Regarding your comment about having logRT in a gamma model with log
> link, I
> > decided to try it after getting this warning if I only use RT as the
> > dependent variable:
> > (glmer(RT ~ ...)
> >
> >
> >
> >
> >
> > *optimizer (bobyqa) convergence code: 0 (OK)Model failed to converge with
> > max|grad| = 0.00209134 (tol = 0.002, component 1)Model is nearly
> > unidentifiable: very large eigenvalue - Rescale variables?*
> >
> > Do you have a better suggestion for dealing with this that does not
> require
> > the log transformation and that may allow me to use the influence.me
> > package?
> >
> > Best wishes,
> >
> > Catia
> >
> >       [[alternative HTML version deleted]]
> >
> > _______________________________________________
> > R-sig-mixed-models using r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
> >
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> End of R-sig-mixed-models Digest, Vol 172, Issue 27
> ***************************************************



-- 
Cátia Margarida Ferreira de Oliveira
Psychology PhD Student
Department of Psychology, Room B214
University of York, YO10 5DD

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