[R-sig-ME] Theta Value in glmer

[Phillip Alday]

Hi Amir,

can you share an anonymized version of your data? Or give a bit more of
a minimal working example (MWE)? Then we can probably provide more and
better help. :)

Best,
Phillip

On 17/07/2021 01:22, Amirhossein.AmirhosseinTalebi using radboudumc.nl wrote:
> Dear all,
>
> I am trying to fit a negative binomial regression using lme4 package. After several attempts using glmer.nb and having error of convergence, I have switched to glmer function to could set the argument nAGQ=0 and used negative binomial function as the family argument.
> The question here is, as the theta value in negative binomial function I tried to use the theta value that glm.nb of package MASS gave me (157); but based on the vignette of glmer I can use theta=1.75. Could you please clarify that how can I choose the best theta value here and until what extend that can change my results? Or based on what parameter in model output I can understand that I used the best theta value?
>
> Kind regards,
> Amir
>
> De informatie in dit bericht is uitsluitend bestemd voor de geadresseerde. Aan dit bericht en de bijlagen kunnen geen rechten worden ontleend. Heeft u deze e-mail onbedoeld ontvangen? Dan verzoeken wij u het te vernietigen en de afzender te informeren. Openbaar maken, kopi�ren en verspreiden van deze e-mail of informatie uit deze e-mail is alleen toegestaan met voorafgaande schriftelijke toestemming van de afzender. Het Radboudumc staat geregistreerd bij de Kamer van Koophandel in het handelsregister onder nummer 80262783.
>
> The content of this message is intended solely for the addressee. No rights can be derived from this message or its attachments. If you are not the intended recipient, we kindly request you to delete the message and inform the sender. It is strictly prohibited to disclose, copy or distribute this email or the information inside it, without a written consent from the sender. Radboud university medical center is registered with the Dutch Chamber of Commerce trade register with number 80262783.
>
> 	[[alternative HTML version deleted]]
>
>
> _______________________________________________
> R-sig-mixed-models using r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

	[[alternative HTML version deleted]]