RLadyBug-An R package for stochastic epidemic models

Authors:
Michael Höhle;Ulrike Feldmann
Affiliations:
Department of Statistics, University of Munich, Ludwigstr. 33, 80539 Munich, Germany;Department of Statistics, University of Munich, Ludwigstr. 33, 80539 Munich, Germany
Venue:
Computational Statistics & Data Analysis
Year:
2007

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Abstract

RLadyBug is an S4 package for the simulation, visualization and estimation of stochastic epidemic models in R. Maximum likelihood and Bayesian inference can be performed to estimate the parameters in a susceptible-exposed-infectious-recovered (SEIR) model, which is a stochastic model for describing a single outbreak of an infectious disease. The package is thus one step towards statistical software supporting parameter estimation, calculation of confidence intervals and hypothesis testing for transmission models.