Bayesian Model Averaging: Health burden mitigation with fruits and vegetable consumption in Oman

Bayesian model averaging (BMA) has increasingly witnessed applications across an array of reasonable contexts. To that end, this project describes the relative merits of several competing packages in the R statistical environment to implement a BMA exercise. This problem will be concurrently investigated with one that will explore health-related indicators of vegetables and fruits consumption, hence their imports in Oman. Findings from this project will be two-fold; an evaluation of the BMA statistical packages and, also to set of plausible health-related and disease burden indicators ameliorated through fruits and vegetable imports in Oman.