I am running a multivariate regression in BRMS, with 2 variables. Some participants have missing values for one variable, but not for the other. If I run the analysis using mvbind as in https://cran.r-project.org/web/packages/brms/vignettes/brms_multivariate.html, does the model just completely exclude all data for a participant with one missing value? Or will it use their data for the one variable where they have an observation, and exclude them for the model where they do not have an observation?
Relatedly, I saw a discussion about possibly adding in the ability to impute missing values and incorporate this into a model. Is this something that has now been implemented?
Any help would be much appreciated!
Please also provide the following information in addition to your question:
- Operating System: Mac OS 10.12.6
- brms Version: 2.8.0