#brms — Public Fediverse posts

I've published my first post in almost 10 years! It's about a seemingly strange quirk in #Bayesian logistic regression. In the post, I have some #brms examples (via #Rstats ) that show that the treatment effect for Arm B can be effected by the performance of Arm C in a 3 arm trial. This is unintuitive to me and I can't quite figure out what's going on.

https://www.westendstats.com/posts/bayesian-logistic-regression/

I've published my first post in almost 10 years! It's about a seemingly strange quirk in #Bayesian logistic regression. In the post, I have some #brms examples (via #Rstats ) that show that the treatment effect for Arm B can be effected by the performance of Arm C in a 3 arm trial. This is unintuitive to me and I can't quite figure out what's going on.

https://www.westendstats.com/posts/bayesian-logistic-regression/

New on the blog: Using Bayesian tools to be a better frequentist

Turns out that for negative binomial regression with small samples, standard frequentist tools fail to achieve their stated goals. Bayesian computation ends up providing better frequentist guarantees. Not sure this is a general phenomenon, just a specific example.

https://www.martinmodrak.cz/2025/07/09/using-bayesian-tools-to-be-a-better-frequentist/

#rstats #Bayesian #brms #stan

New on the blog: Using Bayesian tools to be a better frequentist

Turns out that for negative binomial regression with small samples, standard frequentist tools fail to achieve their stated goals. Bayesian computation ends up providing better frequentist guarantees. Not sure this is a general phenomenon, just a specific example.

https://www.martinmodrak.cz/2025/07/09/using-bayesian-tools-to-be-a-better-frequentist/

#rstats #Bayesian #brms #stan

okay #rstats #rstan #stan hivemind:

do you have any examples of Stan models (incl #brms) running in production, especially attached to Shiny apps where responsiveness/compute time is pretty important (and interfacing with non-quant people)?

What tricks do you use?

Please send blogs, packages, repos, anecdotes! :)

Please do not send: suggestions that I use an empirical Bayes/frequentist framework. I know how to do that :)

okay #rstats #rstan #stan hivemind:

do you have any examples of Stan models (incl #brms) running in production, especially attached to Shiny apps where responsiveness/compute time is pretty important (and interfacing with non-quant people)?

What tricks do you use?

Please send blogs, packages, repos, anecdotes! :)

Please do not send: suggestions that I use an empirical Bayes/frequentist framework. I know how to do that :)

Incidentally, our companion #rstats Reacnorm package is now live in CRAN, so it's as easy as `install.packages("Reacnorm")` and `vignette("TutoReacnorm")` to access our nice tutorial on analyse reaction norms using the #brms and Reacnorm package.

https://cran.r-project.org/package=Reacnorm

A very interesting workshop on "Hierarchical models in preclinical research" finished today in Göttingen. This was a joint undertaking of the IBS-DR working groups "Non-clinical statistics" and "Bayes Methods", and included an extensive Tutorial on #brms by Sebastian Weber and Lukas Widmer. Some of the material is available on the meeting website:

https://www.biometrische-gesellschaft.de/arbeitsgruppen/bayes-methodik/workshops/2024-goettingen.html

#Bayesian #rstats #MedStatGoe

Online free book: Introduction to Bayesian Data Analysis for Cognitive Science

https://bayes.club/@ShravanVasishth/113330289055047281

#bayes #Rstats #STAN #brms #OpenAccess #OA #CognitiveScience #CogSci @cogsci