Bayesian Mixed Effects Models: A tutorial with rstan and glmer2stan

[@delt19]

set.seed, set.seed!!
this is a great intro to Bayesian inference.

[@renatamuylaert]

Thanks Christian! Great tutorial

[@dmememebership8927]

This is a good video - all those kids listening are all over you hah

[@mukundkomati]

Can you explain, why random effects are present on the intercept? Since, The formula is ~ Days + (Days | subject_index), the random effect should effect only the slope of Days.

[@PKMNsandy]

Is there a post-hoc functionality in glmer2stan?

[@Patrizsche]

Hi Christian, do you have any material at all on how to deal with missing data? Thanks

[@cheloniadreams]

I have some questions. How can I contact you?

[@tonygitonga9894]

where do i get the data

[@JimGrange.]

The data are available within the R package lme4 which is used in this video.

[@KamleshKumar-gi9fe]

Hi, Can you share you 'myglmer2stan' function. It will be very helpfull. Thanks in advance.

[@christiangonzalez357]

Hi Kamlesh, link to the github repo with all functions is available in the description :)

[@KamleshKumar-gi9fe]

Christian Gonzalez thanks alot for your quick response....