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

D. Rizopoulos d@r|zopou|o@ @end|ng |rom er@@mu@mc@n|
Sun Jun 9 16:23:01 CEST 2019

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



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


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,

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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