Variational Techniques in Epidemiology R package EpiInvert version 0.3.1 CRAN Task View: Epidemiology (https://CRAN.R-project.org/view=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>. Software Depends: R (>= 2.10) Imports: Rcpp (>= 1.0.8.3) LinkingTo: Rcpp Suggests: knitr, ggplot2, grid, dplyr, testthat (>= 3.0.0), rmarkdown, ggpubr Luis Alvarez <lalvarez@ulpgc.es> Comprehensive R Archive Network (CRAN) 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>) GPL (>= 2) 2022-12-14 application/tgz https://CRAN.R-project.org/package=EpiInvert doi:10.32614/CRAN.package.EpiInvert