Stan is freedom-respecting, open-source software for facilitating statistical inference at the frontiers of applied statistics.
Or to put it another way, it makes Bayesian inference fast and (a bit) easier.
StanCon is the premier conference for all things Stan related and this year it will take place at the Asilomar Conference Grounds, a National Historic Landmark on the Monterey Peninsula right on the beach.
One of the great features about Stan is that you can use Stan via R (or Python or …). The rstan package can be in installed in the usual way
and has been around for a few years, so is fairly stable. The easiest way to get started is to check out the rstan wiki page, which gives a couple of worked through examples.
If you are interested in learning more about Stan, we run a two day introduction to Rstan course. The course covers
Space is limited.