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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 |
CRAN checks: | EpiInvert results |
Reference manual: | 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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These binaries (installable software) and packages are in development.
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