Nimble Output for MCMC Estimation of Source Apportionment; Accompaniment for Journal Article

Paper A dependent Bayesian Dirichlet Process model for source apportionment of particle number size distribution contributed to the Environmetrics Special Issue on Environmental Data Science. In this paper, a fairly extensive Bayesian model is run using the Nimble probabilistic programming language. To allow for user reproducibility, the output of this model (full, not summary), is provided here.