In Epidemiology, rjags is employed to model the spread of diseases, estimate the impact of risk factors, and evaluate the effectiveness of public health interventions. The Bayesian methods facilitated by rjags enable researchers to incorporate prior knowledge and uncertainty into their analyses, leading to more robust and credible results.
