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EpiInvert
View on CRAN: Click
here
Download and install EpiInvert package within the R console
Install from CRAN:
install.packages("EpiInvert")
Install from Github:
library("remotes")
install_github("cran/EpiInvert") Install by package version:
library("remotes")
install_version("EpiInvert", "0.3.1") Attach the package and use:
library("EpiInvert")
Maintained by
Luis Alvarez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-18
Latest Update: 2022-12-14
Description:
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)
and Alvarez et al. (2022) 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) .
How to cite:
Luis Alvarez (2022). EpiInvert: Variational Techniques in Epidemiology. R package version 0.3.1, https://cran.r-project.org/web/packages/EpiInvert. Accessed 17 Oct. 2026.
Previous versions and publish date:
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Other R packages that EpiInvert depends,
imports, suggests or enhances
Complete documentation for EpiInvert
Functions, R codes and Examples using
the EpiInvert R package
Some associated functions: EpiIndicators . EpiIndicators_params . EpiIndicators_plot . EpiInvert . EpiInvertForecast . EpiInvertForecast_plot . EpiInvert_plot . apply_delay . festives . incidence . incidence_weekly_aggregated . joint_indicators_by_date . owid . restored_incidence_database . select_params . si_distr_data .
Some associated R codes: EpiIndicators.R . EpiInvert.R . RcppExports.R . data.R . globals.R . plot.R . select_params.R . Full EpiInvert package functions and examples
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