Package: EpiInvert
Version: 0.3.2
Type: Package
Title: Variational Techniques in Epidemiology
Authors@R: c(person("Luis", "Alvarez", email = "lalvarez@ulpgc.es", role = c("aut", "cre"), 
  comment = c(ORCID = "0000-0002-6953-9587")), 
  person("Jean-David", "Morel", role = "ctb", comment = c(ORCID = "0000-0002-7122-9924")),
  person("Jean-Michel", "Morel", role = "ctb", comment = c(ORCID = "0000-0002-6108-897X"))
  )
Maintainer: Luis Alvarez <lalvarez@ulpgc.es>
Description: 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>.
URL: https://github.com/lalvarezmat/EpiInvert
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.8.3)
LinkingTo: Rcpp
Suggests: knitr, ggplot2, grid, dplyr, testthat (>= 3.0.0), rmarkdown,
        ggpubr
Config/testthat/edition: 3
Depends: R (>= 2.10)
LazyLoad: yes
RoxygenNote: 7.2.2
Repository: https://lalvarezmat.r-universe.dev
Date/Publication: 2023-12-31 14:58:09 UTC
RemoteUrl: https://github.com/lalvarezmat/epiinvert
RemoteRef: HEAD
RemoteSha: 7b6afdda0b55e54c77f601239340552d64d9b132
NeedsCompilation: yes
Packaged: 2026-10-04 09:34:13 UTC; root
Author: Luis Alvarez [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-6953-9587>),
  Jean-David Morel [ctb] (ORCID: <https://orcid.org/0000-0002-7122-9924>),
  Jean-Michel Morel [ctb] (ORCID:
    <https://orcid.org/0000-0002-6108-897X>)