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 (≥
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 ORCID iD [aut, cre], Jean-David Morel ORCID iD [ctb], Jean-Michel Morel ORCID iD [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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