[R-sig-ME] adaptive gaussian quadrature algorithm for unit-lindley glmm

[D. Rizopoulos]

Have a look at the GLMMadaptive package that also allows you to define your own mixed model:

https://drizopoulos.github.io/GLMMadaptive/
https://drizopoulos.github.io/GLMMadaptive/articles/Custom_Models.html

Best,
Dimitris


From: HATICE T KUBRA AKDUR <hkubrasenol using gmail.com<mailto:hkubrasenol using gmail.com>>
Date: Sunday, 09 Jun 2019, 12:24
To: R-sig-mixed-models using r-project.org <R-sig-mixed-models using r-project.org<mailto:R-sig-mixed-models using r-project.org>>
Subject: [R-sig-ME] adaptive gaussian quadrature algorithm for unit-lindley glmm

Hello,

I recently have worked on a unit-lindley distribution and its mixed
regression model. There is no R library and ready function to obtain MLEs
of regression parameters. As far as I investigate, I should use adaptive
gaussian quadrature algorithm to obtain MLEs of regression parameters when
random effect included in the model.

However, I could not understand how to implement gaussian quadrature
algorithm for unit-lindley mixed regression model.


May you provide me gaussian quadrature algorithm source code for any mixed
model if you have it? Then I can adapt this algorithm to my case,
hopefully.


Thank you very much in advance,


Best Wishes,

--
Hatice Tul Kubra AKDUR, PhD
Department of Statistics, Faculty of Science
Gazi University
06500 Teknikokullar ANKARA, TURKEY
Phone: +90 553 324 5380
Email: hatice_senol using wsu.edu
Homepage: https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwebsitem.gazi.edu.tr%2Fsite%2Fhaticesenol&data=02%7C01%7Cd.rizopoulos%40erasmusmc.nl%7Ccb76a20bee22422154b208d6ecc4b455%7C526638ba6af34b0fa532a1a511f4ac80%7C0%7C0%7C636956726919237207&sdata=LqgOO7SkfaXs0%2FJ8DqwFumwgTaf4ZIPLlk%2FeWsundzA%3D&reserved=0

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