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
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author Höhle, Michael
Feldmann, Ulrike
author_facet Höhle, Michael
Feldmann, Ulrike
author_sort Höhle, Michael
collection PubMed
description 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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spelling pubmed-71142522020-04-02 RLadyBug—An R package for stochastic epidemic models Höhle, Michael Feldmann, Ulrike Comput Stat Data Anal Article 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. Elsevier B.V. 2007-10-15 2006-12-04 /pmc/articles/PMC7114252/ /pubmed/32287569 http://dx.doi.org/10.1016/j.csda.2006.11.016 Text en Copyright © 2006 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Höhle, Michael
Feldmann, Ulrike
RLadyBug—An R package for stochastic epidemic models
title RLadyBug—An R package for stochastic epidemic models
title_full RLadyBug—An R package for stochastic epidemic models
title_fullStr RLadyBug—An R package for stochastic epidemic models
title_full_unstemmed RLadyBug—An R package for stochastic epidemic models
title_short RLadyBug—An R package for stochastic epidemic models
title_sort rladybug—an r package for stochastic epidemic models
topic Article
url 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
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