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Today's Topics:
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 at york.ac.uk>
To: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] glmer and influence.me - complaining about
nAGQ==0
Message-ID:
<CACw+Tfd_s9HKfBNushVtmhWg2=
i14yf0QJF1MWuNg8MAAuSgwA at mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
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
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Message: 2
Date: Mon, 26 Apr 2021 13:55:11 -0400
From: Ben Bolker <bbolker at gmail.com>
To: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] glmer and influence.me - complaining about
nAGQ==0
Message-ID: <b515aefb-0bff-d27d-75eb-ff12f4069e42 at 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, C?tia 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
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