hurdle negative binomial models with MCMCglmm
Many thanks Dave for this link, this is very useful! However I can only see zero-altered models using Poisson distribution. Is there a way to use negative binomial distribution in zero-altered models (zero-inflated and hurdle) with mixed effects in MCMCglmm? thanks again to everyone .zelda.
From: r-sig-mixed-models-bounces at r-project.org [r-sig-mixed-models-bounces at r-project.org] On Behalf Of David Atkins [datkins at u.washington.edu]
Sent: 09 December 2011 18:57
To: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] hurdle negative binomial models with MCMCglmm
Sent: 09 December 2011 18:57
To: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] hurdle negative binomial models with MCMCglmm
Zelda-- You might take a look at a tutorial paper we have written on mixed model count regression; it also includes R code and two datasets: http://depts.washington.edu/cshrb/newweb/statstutorials.html [last ms on the page] The R code provides some details on using MCMCglmm for zero-altered models (including zero-inflated and hurdle mixed models). Hope it helps. cheers, Dave Dear all, I am very new at using MCMCglmm, and would like to fit a hurdle negative binomial distribution model with this package. Does anyone know whether this is possible? as this family is not amongst the distribution families described in the package vignette. thanks a lot .zelda. -- Dave Atkins, PhD Research Associate Professor Department of Psychiatry and Behavioral Science University of Washington datkins at u.washington.edu Center for the Study of Health and Risk Behaviors (CSHRB) 1100 NE 45th Street, Suite 300 Seattle, WA 98105 206-616-3879 http://depts.washington.edu/cshrb/ (Mon-Wed) Center for Healthcare Improvement, for Addictions, Mental Illness, Medically Vulnerable Populations (CHAMMP) 325 9th Avenue, 2HH-15 Box 359911 Seattle, WA 98104 http://www.chammp.org (Thurs) _______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models