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Database with posteriors of interest for Bayesian inference

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Below are some updates in the documentation and the multiple new posteriors from @PhilClemson . Also, new dogs models are being added/improved upon.

`tau`, the scale parameter should lie on the positive real value space therefore it should be HalfCauchy or be transformed through exponential function? https://github.com/stan-dev/posteriordb/blob/master/posterior_database/models/pymc3/eight_schools_noncentered.py#L14

The Stan model for dogs_log is broken in that it doesn't have support on R^2. The problem is here: ```stan parameters { vector[2] beta; } ... beta[1] ~ uniform(-100, 0);...

bug

Hi, This looks like a really nice project. Do you aim to also include codes for Julia based PPLs? If so, I’m happy to have a look at it. Cheers,...

- In the "Using posteriordb" section, mention that posteriordb-r and posteriordb-python have examples - In "posteriordb-r" and "posteriordb-python" should give better examples. In particular, current examples are not particularly motivating,...

https://mc-stan.org/users/documentation/case-studies/dorazio-royle-occupancy.html i'm not sure if this has already been don by KT.

Test to give an additional PPF framework in the database.

Now only rstan version is included in the reference posterior. Since pystan might not follow stan versions, we should add an additional slot for stan version in all reference posterior...

Is the intention to accept data with closed licenses? If not, the CONTRIBUTING.md text should be clarified as to what licenses other than BSD-3 are acceptable. If there are multiple...