pbbo (github)

An R package to help translate information about the prior predictive distribution (what you think your data might look like before collection) in to an informative prior for complex models. Built atop a multi-stage, multi-objective Bayesian optimisation process to return plausible and useful priors.

wsre (github)

An R package implementing the weighted-sample self-density ratio estimation methodology developed in this paper. Takes joint models written in Stan and returns self-density ratio estimates that are accurate in low probability regions of the prior distribution.

rjmonopoly (github)

An R package for fitting monotone polynomials of varying degree, using a reversible jump Markov chain Monte Carlo sampler.