[R-sig-ME] Fwd: fitting beta and zero mixture model containing both nested and crossed random effects

[Guillaume Chaumet]

---------- Forwarded message ----------
From: Guillaume Chaumet <guillaumechaumet using gmail.com>
Date: 2018-06-10 17:03 GMT+02:00
Subject: Re: [R-sig-ME] fitting beta and zero mixture model containing
both nested and crossed random effects
To: Meng Liu <liumeng using usc.edu>


brms: https://cran.r-project.org/web/packages/brms/index.html

2018-06-09 21:06 GMT+02:00 Meng Liu <liumeng using usc.edu>:
> To whom it may concern,
>
> I am trying to fit a model for a data among which the response value is
> within [0,1). I am thinking about fitting the zeros as a complete separate
> category from the non-zero data, i.e. a binomial (Bernoulli) model to "==0
> vs >0" and a Beta model to the >0 responses. Also, my data contains both
> nested factors and crossed factors, which means I need to add nested random
> effects and crossed random effects to both logistic model part and beta
> model model. However, I didn't find any R packages can do exactly what I
> want (By far I found gamlss, glmmTMB, zoib but they either can only assume
> random zero or they can only fit repeated measures/clustered data but not
> nested and crossed design). Therefore, I am wondering if any one know if
> there is any available package or function can do this.
>
> Thank you very much for your help!
>
> Best regards
>
> Meng
>
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>
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