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 |
| 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 |
| Reference manual: | EpiInvert.html , EpiInvert.pdf |
| Package source: | EpiInvert_0.3.1.tar.gz |
| Windows binaries: | r-devel: EpiInvert_0.3.1.zip, r-release: EpiInvert_0.3.1.zip, r-oldrel: EpiInvert_0.3.1.zip |
| macOS binaries: | r-release (arm64): EpiInvert_0.3.1.tgz, r-oldrel (arm64): EpiInvert_0.3.1.tgz, r-release (x86_64): EpiInvert_0.3.1.tgz, r-oldrel (x86_64): EpiInvert_0.3.1.tgz |
| Old sources: | EpiInvert archive |
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