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>.
Version: 0.3.1 Depends: R (≥ 2.10) Imports: Rcpp (≥ 1.0.8.3) LinkingTo: Rcpp Suggests: knitr, ggplot2, grid, dplyr, testthat (≥ 3.0.0), rmarkdown, ggpubr Published: 2022-12-14 DOI: 10.32614/CRAN.package.EpiInvert Author: Luis Alvarez [aut, cre], Jean-David Morel [ctb], Jean-Michel Morel [ctb] Maintainer: Luis Alvarez <lalvarez at ulpgc.es> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/lalvarezmat/EpiInvert NeedsCompilation: yes Materials: README, NEWS In views: Epidemiology CRAN checks: EpiInvert results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=EpiInvert to link to this page.
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