Comments (7)
from posteriordb.
Im not sure about this. The stan team (with paul as lead) is looking into a posteriors R package that is similar. We should build on that instead is my guess. But @paul-buerkner paul knows more about this.
from posteriordb.
Yes if we can build on it that would be ideal. Looking forward to hearing more about it.
from posteriordb.
@paul-buerkner can you give a short summary on what the posteriors
R package is about?
from posteriordb.
From the current README:
The posterior R package will provide various tools for working with posterior distributions that are represented by draws.
Goals:
- provide efficient methods for converting between different representations of posterior draws
- provide summaries of posterior draws with names that can be adopted to standardize conventions in the bayesian R package world
provide R implementations of the most useful MCMC diagnostics without depending on RStan
from posteriordb.
Thanks! Ah so I guess it's a public repo, can you link to it? I couldn't find it under either stan_dev
or your user
from posteriordb.
Now, this is public. https://github.com/jgabry/posterior
So I close this issue.
from posteriordb.
Related Issues (20)
- Example problems from astrophysics HOT 5
- Transferring to stan-dev HOT 1
- Updating Stan Models to be more performant HOT 3
- Convert golden samples to arviz IData HOT 3
- Add model code dependency structure
- Document data variables separately
- Handling of posterior licenses HOT 11
- Include explicit stan version in reference posterior computations
- install instructions for R package HOT 4
- Add eight schools with flat prior
- Add the occupancy model (population biology)
- Better examples needed HOT 5
- How to get the log probabilities of MCMC samples
- dogs-dogs not constrained properly in Stan HOT 1
- PyMC3 eight school example HOT 5
- Missing reference posteriors HOT 2
- Make a new release? HOT 3
- Change Stan syntax to new syntax HOT 6
- Proposal: Add `data-used` to posterior `.json` files where relevant
- Discussion: Correctness Checking Between PPLs
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from posteriordb.