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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 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

Documentation:

Reference manual: EpiInvert.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EpiInvert to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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