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serofoi: Bayesian Estimation of the Force of Infection from Serological Data
Estimating the force of infection from time varying, age varying, or constant serocatalytic models from population based seroprevalence studies using a Bayesian framework, including data simulation functions enabling the generation of serological surveys based on this models. This tool also provides a flexible prior specification syntax for the force of infection and the seroreversion rate, as well as methods to assess model convergence and comparison criteria along with useful visualisation functions.
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Package details |
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| Author | Zulma M. Cucunubá [aut, cre] (<https://orcid.org/0000-0002-8165-3198>), Nicolás T. Domínguez [aut] (<https://orcid.org/0009-0002-8484-1298>), Ben Lambert [aut], Pierre Nouvellet [aut], Geraldine Gómez [ctb] (<https://orcid.org/0009-0007-8701-0568>), Jaime A. Pavlich-Mariscal [ctb] (<https://orcid.org/0000-0002-3892-6680>), Hugo Gruson [ctb] (<https://orcid.org/0000-0002-4094-1476>), David Santiago Quevedo [ctb] (<https://orcid.org/0000-0003-1583-4262>), Miguel Gámez [ctb], Sumali Bajaj [ctb], Everlyn Kamau [ctb], Richard Creswell [ctb], International Development Research Center (IDRC) [fnd], Pontificia Universidad Javeriana [cph] |
| Maintainer | Zulma M. Cucunubá <zulma.cucunuba@javeriana.edu.co> |
| License | MIT + file LICENSE |
| Version | 1.0.3 |
| URL | https://github.com/epiverse-trace/serofoi https://epiverse-trace.github.io/serofoi/ |
| Package repository | View on CRAN |
| Installation |
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