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>.
| 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 |
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