R: Variational Techniques in Epidemiology

# Variational Techniques in Epidemiology

## Documentation for package ‘EpiInvert’ version 0.3.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

apply_delay | 'apply_delay'
EpiIndicators | 'EpiIndicators'
EpiIndicators_params | 'EpiIndicators_params' function to select EpiIndicators parameters
EpiIndicators_plot | 'EpiIndicators_plot'
EpiInvert | 'EpiInvert' estimates the reproduction number Rt and a restored incidence curve from the original daily incidence curve and the serial interval distribution. EpiInvert also corrects the festive and weekly biases present in the registered daily incidence.
EpiInvertForecast | 'EpiInvertForecast' computes a 28-day forecast of the restored incidence curve including a 95 using the weekly seasonality, from the forecasted restored incidence curve we also estimate a 28-day forecast of the original incidence curve.
EpiInvertForecast_plot | 'EpiInvertForecast_plot'
EpiInvert_plot | 'EpiInvert_plot'
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
joint_indicators_by_date | 'joint_indicators_by_date'
owid | A dataset with COVID-19 indicators
restored_incidence_database | A dataset of restored daily incidence trend curves
select_params | 'select_params' function to select EpiInvert parameters
si_distr_data | A dataset containing the values of a serial interval