napstan (Stan models tested in R and python)
napstan is a collection of Stan models that have been tested to approximate the 'true' parameters. It is intended as a source known working models from which to base models for research, and also as a learning tool to understand how to build bayesian models in Stan.
There are currently two sets of Stan programs. Models that estimate parameters are named after their distribution, like
binomial.stan. Models that generate sample data from a distribution are named with
_dgp.stan after the distribution name, for example
This is not a true
R package, so there is no installation, but you can clone this repository to have a copy of these files. You can test the models by running
in the repository directory, and look at the tests in
tests/testthat to get a sense of how each model is verified against synthetic data.