posteriordb
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Database with posteriors of interest for Bayesian inference
We may be interested in gold standards expectations without actual gold standard draws. Hence we should add them as a separate slot that could be accessed. This should include: Mean,...
Now we have all documentation in json slots. This works well for storing and accessing data, but is less good to read the documentation and edit the documentation, say on...
For convenience, we would like to quickly put together a bibliography for a list of posteriors or a vector of posterior_names. Essentially to quickly cite the models used. This includes:...
Hi @MansMeg, we are looking into using posterior db for regression testing (both numerical accuracy as well as speed testing) for the math/stan/cmdstan/stanc3 repository pipeline. There are a bunch of...
posterior (default) posterior predictive prior prior predictive elementwise loglikelihoods The question is how to do this efficiently. Probably by including likelihood functions that take the data and posterior gold standard...
I move @jarnefeltoliver comment here instead as an issue. To access the data and model just run: ``` remotes::install_github("MansMeg/posteriordb", subdir = "rpackage") library(posteriordb) po
Ben Bales may have an idea on how to do this.