Hi everyone!
Now I and @avehtari are done with the PR review and finally, a new version of posteriordb is out. There is still a need for more complex posteriors > 100 parameters or models that take longer to estimate (minutes or hours rather than seconds). The ideal posteriors are complex posteriors that have already been published where the data is open and can be included. Feel free to reach out if you have implemented such posteriors. I’m happy to include them.
News in posteriordb 0.4.0
- New posterior distributions from @KaneLindsay and @PhilClemson
- Fixed error in the dogs model and data (thanks to @Bob_Carpenter , @avehtari and @andrewgelman )
- Polishing and updating documentation
- Bug fixes
- Fixes in pymc3 8 schools model by @Seth_Axen
EDIT by Aki: added link to the github repo