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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