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covidseir: Bayesian SEIR Modelling for Multivariate COVID-19 Case Data
A R software package capable of estimating a Bayesian SEIR model using daily COVID-19 case counts. Package was developed by Sean Anderson based on two papers (Estimating the impact of COVID-19 control measures using a Bayesian model of physical distancing and How much leeway is there to relax COVID-19 control measures?).
cr0eso fits a Bayesian hierarchical SEIR (susceptible, exposed, infected, recovered) model to a collection of outbreak data from different facilities.