Package: EpiInvert 0.3.2

Luis Alvarez

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>.

Authors:Luis Alvarez [aut, cre], Jean-David Morel [ctb], Jean-Michel Morel [ctb]

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EpiInvert.pdf |EpiInvert.html✨
EpiInvert/json (API)
NEWS

# Install 'EpiInvert' in R:
install.packages('EpiInvert', repos = c('https://lalvarezmat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/lalvarezmat/epiinvert/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • festives - A dataset containing festive days in France, Germany, UK and the USA
  • incidence - A dataset containing daily incidence of COVID-19 for France, Germany, UK and the USA
  • incidence_weekly_aggregated - A dataset containing weekly aggregated incidence of COVID-19 for France, Germany, UK and the USA
  • owid - A dataset with COVID-19 indicators
  • restored_incidence_database - A dataset of restored daily incidence trend curves
  • si_distr_data - A dataset containing the values of a serial interval

On CRAN:

10 exports 3 stars 1.11 score 1 dependencies 3 scripts 290 downloads

Last updated 9 months agofrom:7b6afdda0b. Checks:OK: 2 NOTE: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 31 2024
R-4.5-win-x86_64NOTEAug 31 2024
R-4.5-linux-x86_64NOTEAug 31 2024
R-4.4-win-x86_64NOTEAug 31 2024
R-4.4-mac-x86_64NOTEAug 31 2024
R-4.4-mac-aarch64NOTEAug 31 2024
R-4.3-win-x86_64OKAug 31 2024
R-4.3-mac-x86_64NOTEAug 31 2024
R-4.3-mac-aarch64NOTEAug 31 2024

Exports:apply_delayEpiIndicatorsEpiIndicators_paramsEpiIndicators_plotEpiInvertEpiInvert_plotEpiInvertForecastEpiInvertForecast_plotjoint_indicators_by_dateselect_params

Dependencies:Rcpp