%0 Journal Article %1 haehle_rladybug-r_2007 %A Höhle, Michael %A Feldmann, Ulrike %D 2007 %J Comput. Stat. Data Anal. %K mcmc, model, modelling r, s4, seir sir stochastic %N 2 %P 680--686 %T RLadyBug-An R package for stochastic epidemic models %U http://portal.acm.org/citation.cfm?id=1296331.1296417&coll=&dl=GUIDE %V 52 %X 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.

@article{haehle_rladybug-r_2007, 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.}, added-at = {2011-03-11T10:05:34.000+0100}, author = {Höhle, Michael and Feldmann, Ulrike}, biburl = {https://www.bibsonomy.org/bibtex/200507692170affe0f3a19b39803fd2d0/jelias}, interhash = {485ef95349341812a2c7e8b31096bc3c}, intrahash = {00507692170affe0f3a19b39803fd2d0}, journal = {Comput. Stat. Data Anal.}, keywords = {mcmc, model, modelling r, s4, seir sir stochastic}, number = 2, pages = {680--686}, timestamp = {2011-03-11T10:06:04.000+0100}, title = {{RLadyBug-An} R package for stochastic epidemic models}, url = {http://portal.acm.org/citation.cfm?id=1296331.1296417&coll=&dl=GUIDE}, volume = 52, year = 2007 }