[R-sig-ME] Random Effect Tobit

[Dimitris Rizopoulos]

Indeed, but the censReg does not seem to update the abscissas and weights during the optimization procedure.

Best,
Dimitris

��
Dimitris Rizopoulos
Professor of Biostatistics
Erasmus University Medical Center
The Netherlands
________________________________
From: R-sig-mixed-models <r-sig-mixed-models-bounces using r-project.org> on behalf of Ben Bolker <bbolker using gmail.com>
Sent: Wednesday, September 15, 2021 2:08:13 AM
To: r-sig-mixed-models using r-project.org <r-sig-mixed-models using r-project.org>
Subject: Re: [R-sig-ME] Random Effect Tobit

This CrossValidated answer:
https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstats.stackexchange.com%2Fquestions%2F544511%2Fzero-inflated-gaussian-for-weights-below-zero-recorded-as-0%3Fnoredirect%3D1%23comment999636_544511&data=04%7C01%7Cd.rizopoulos%40erasmusmc.nl%7C40b92da1072c42854dfd08d977dcf8ed%7C526638ba6af34b0fa532a1a511f4ac80%7C0%7C1%7C637672613225156938%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=YnBAIBxTozwjcNne6Mwu%2Fks6bMGD8h65RPGNk1pkiyg%3D&reserved=0

  says that the censReg package can handle random effects Tobit models
via Gauss-Hermite Quadrature (GLMMadaptive is great, but it's nice to
have options)

On 9/14/21 3:32 AM, Dimitris Rizopoulos wrote:
> You can use the GLMMadaptive package (https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdrizopoulos.github.io%2FGLMMadaptive%2F&data=04%7C01%7Cd.rizopoulos%40erasmusmc.nl%7C40b92da1072c42854dfd08d977dcf8ed%7C526638ba6af34b0fa532a1a511f4ac80%7C0%7C1%7C637672613225156938%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=fPFues1lFb26w8DBx2Pg2RvbCRZT3Uq7Pd3QQUbfeic%3D&reserved=0) and the censored.normal() family object. An example is given here: https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdrizopoulos.github.io%2FJMbayes2%2Farticles%2FNon_Gaussian_Mixed_Models.html%23censored-linear-mixed-models-1&data=04%7C01%7Cd.rizopoulos%40erasmusmc.nl%7C40b92da1072c42854dfd08d977dcf8ed%7C526638ba6af34b0fa532a1a511f4ac80%7C0%7C1%7C637672613225156938%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=tKMo%2BIYYy3M8mdUf5KdLjvk%2BCSC0QxGvfLRk6Vln3rU%3D&reserved=0
>
>
> Best,
> Dimitris
>
> -----Original Message-----
> From: R-sig-mixed-models <r-sig-mixed-models-bounces using r-project.org> On Behalf Of Hedyeh Ahmadi
> Sent: Tuesday, September 14, 2021 12:25 AM
> To: r-sig-mixed-models using r-project.org
> Subject: [R-sig-ME] Random Effect Tobit
>
> Hello all,
> I was wonder if anyone is aware of an R package with random effect Tobit. Any help would be greatly appreciated.
>
> Best,
>
> Hedyeh Ahmadi, Ph.D.
> Statistician
> Keck School of Medicine
> Department of Preventive Medicine
> University of Southern California
>
> Postdoctoral Scholar
> Institute for Interdisciplinary Salivary Bioscience Research (IISBR) University of California, Irvine
>
> LinkedIn
> https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.linkedin.com%2Fin%2Fhedyeh-ahmadi&data=04%7C01%7Cd.rizopoulos%40erasmusmc.nl%7C40b92da1072c42854dfd08d977dcf8ed%7C526638ba6af34b0fa532a1a511f4ac80%7C0%7C1%7C637672613225156938%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=GUUoQKAivyRPkhnPXgn1m4eV2Oxjh7LLMhtjn9rW4eM%3D&reserved=0<https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.linkedin.com%2Fin%2Fhedyeh-ahmadi&data=04%7C01%7Cd.rizopoulos%40erasmusmc.nl%7C40b92da1072c42854dfd08d977dcf8ed%7C526638ba6af34b0fa532a1a511f4ac80%7C0%7C1%7C637672613225156938%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=GUUoQKAivyRPkhnPXgn1m4eV2Oxjh7LLMhtjn9rW4eM%3D&reserved=0>
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--
Dr. Benjamin Bolker
Professor, Mathematics & Statistics and Biology, McMaster University
Director, School of Computational Science and Engineering
Graduate chair, Mathematics & Statistics

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