RLadyBug—An R package for stochastic epidemic models

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...

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Detalles Bibliográficos
Autores principales: Höhle, Michael, Feldmann, Ulrike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2007
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114252/
https://www.ncbi.nlm.nih.gov/pubmed/32287569
http://dx.doi.org/10.1016/j.csda.2006.11.016
Descripción
Sumario: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.

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