Estimation of Time Varying Reproduction Numbers and Restored Incidence Curves Using Variational Techniques

Documentation for package ‘EpiInvert’ version 0.2.0

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 confidence interval radius using the percentiles 50,75,90 and 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' plot the restored incidence forecast
EpiInvert_plot	'EpiInvert_plot' plots the results obtained by EpiInvert
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
restored_incidence_database	A dataset including 27,418 samples of different restored incidence curves computed by EpiInvert using real data. Each restored incidence curve includes the last 56 values of the sequence.
select_params	'select_params' function to select EpiInvert parameters
si_distr_data	A dataset containing the values of a serial interval