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

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