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 binomial_dgp.stan.
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
make test
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.