@wc4wc4wc4 Thanks for this reference!!! Exactly what I was looking for! I loved seeing this description: Heavily inspired by brms (uses RStan or CmdStanR) and bambi (uses PyMC3)
Thanks again!
@wc4wc4wc4 Thanks for this reference!!! Exactly what I was looking for! I loved seeing this description: Heavily inspired by brms (uses RStan or CmdStanR) and bambi (uses PyMC3)
Thanks again!
@Storopoli @wc4wc4wc4 Could you take a look at the issue I posted at Very Slow sampling in TuringGLM compared to brms and bambi.
Thanks in advance for your help.
Hi @sree_datta, I am not affiliated with TuringGLM. Actually, I haven’t even tried it myself yet, just saw it some time ago and thought it looked cool, so unfortunately I cannot help you, sorry.
Yes, I’ve just replied there. See if that puts you in the right direction.
If you are having problems coding you Turing model you can post in this discourse a new thread using the turing
tag so that other people can also help.
I have a new content that is an open-access creativecommons graduate course on Bayesian statistics.
There is Stan and Turing code for tons of models, along with 340+ slides.
Thank you so much