EpiInvertForecast_plot

EpiInvertForecast_plot() plot the restored incidence forecast

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>.

Luis Alvarez

EpiInvert

Variational Techniques in Epidemiology

Jean-David Morel

Jean-Michel Morel

EpiInvertForecast_plot function

<dl><dt>EpiInvert_results</dt>
<dd>the list returned by the EpiInvert execution</dd>
<dt>Forecast</dt>
<dd>the list returned by the EpiInvertForecast execution</dd></dl>

Arguments

EpiInvertForecast_plot — EpiInvertForecast_plot

<dl>

<dt>EpiInvert_results</dt>
<dd>the list returned by the EpiInvert execution</dd>


<dt>Forecast</dt>
<dd>the list returned by the EpiInvertForecast execution</dd>

</dl>

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EpiInvertForecast_plot: `EpiInvertForecast_plot`

Description

Usage

Value

Arguments