4 ms·
I feel the technical barrier of adoption of bayesian methods is still high enough to deter potential users.
by 3abiton 3y ago
I feel the technical barrier of adoption of bayesian methods is still high enough to deter potential users.
- ASpring 3y agoIt is still the Linux of statistical software. Rstanarm is getting quite good though for R users.
- mike_ivanov 3y agoIt is much less challenging with Bambi[1] and brms[2]. [1] https://bambinos.github.io/bambi/ [2] https://paul-buerkner.github.io/brms/
- eynsham 3y agoIf you put the links in plaintext they're not clickable.
- mnky9800n 3y agoI completely agree with you and this is why we are developing 4d-modeller: https://4dmodeller.github.io/fdmr/ https://4dmodeller.github.io/fdmr/ It's still in early stages but the concept is that these methods are mostly opaque even to highly technical users. So we start with shiny apps that help you build a model and that will work up to (not yet implemented, but we will do a sprint in a couple weeks) wrapper functions, which helps you get things going until you start wanting to get more and more complex. We just ran a Hackathon and participants with no R or Bayesian experience were able to make models.