chvlyl
commented
6 years ago Hi, Thanks for using ZIBR package. Unfortunately, the current implementation of ZIBR can only support simple random effects (i.e., random intercepts).
On Sat, Jun 9, 2018 at 6:26 PM, mmniu notifications@github.com wrote:
Hi,
I am trying to fit a model for a data among which the response value is within [0,1). ZIBR can do exactly what I need. However, my data also 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 part. From my understanding by far ZIBR can only fit repeated measures, so I am just wondering if there is anyway to handle crossed/nested random effects using ZIBR? Or will it be feasible to modify the existing code to do that?
Thank you very much for your help!
Best regards
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Hi,
I am trying to fit a model for a data among which the response value is within [0,1). ZIBR can do exactly what I need. However, my data also 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 part. From my understanding by far ZIBR can only fit repeated measures, so I am just wondering if there is anyway to handle crossed/nested random effects using ZIBR? Or will it be feasible to modify the existing code to do that?
Thank you very much for your help!
Best regards