EpiInvert: Variational Techniques in Epidemiology

Using variational techniques we address some epidemiological problems as the incidence curve decomposition by inverting the renewal equation as described in Alvarez et al. (2021) <doi:10.1073/pnas.2105112118> and Alvarez et al. (2022) <doi:10.3390/biology11040540> or the estimation of the functional relationship between epidemiological indicators. We also propose a learning method for the short time forecast of the trend incidence curve as described in Morel et al. (2022) <doi:10.1101/2022.11.05.22281904>.

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Package details

AuthorLuis Alvarez [aut, cre] (<https://orcid.org/0000-0002-6953-9587>), Jean-David Morel [ctb] (<https://orcid.org/0000-0002-7122-9924>), Jean-Michel Morel [ctb] (<https://orcid.org/0000-0002-6108-897X>)
MaintainerLuis Alvarez <lalvarez@ulpgc.es>
LicenseGPL (>= 2)
Version0.3.1
URL https://github.com/lalvarezmat/EpiInvert
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("EpiInvert")

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EpiInvert documentation built on Dec. 28, 2022, 2:35 a.m.