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.

Package details

AuthorZulma 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]
MaintainerZulma M. Cucunubá <zulma.cucunuba@javeriana.edu.co>
LicenseMIT + file LICENSE
Version1.0.3
URL https://github.com/epiverse-trace/serofoi https://epiverse-trace.github.io/serofoi/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("serofoi")

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serofoi documentation built on April 3, 2025, 11:40 p.m.