Epiestim employs a Bayesian framework to estimate Rt. It incorporates prior knowledge about the serial interval and uses observed data on the number of new cases to update this estimate over time. This approach allows for the estimation of Rt even in the presence of incomplete or noisy data, which is often the case during real-time outbreak monitoring.
