joint_indicators_by_date

generates a dataframe joining the dates and values
of 2 indicators

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

joint_indicators_by_date function

<dl><dt>date0</dt>
<dd>the dates of the first indicator.</dd>
<dt>i0</dt>
<dd>the values of the first indicator.</dd>
<dt>date1</dt>
<dd>the dates of the second indicator.</dd>
<dt>i1</dt>
<dd>the values of the second indicator.</dd></dl>

Arguments

joint_indicators_by_date — joint_indicators_by_date

<dl>

<dt>date0</dt>
<dd>the dates of the first indicator.</dd>


<dt>i0</dt>
<dd>the values of the first indicator.</dd>


<dt>date1</dt>
<dd>the dates of the second indicator.</dd>


<dt>i1</dt>
<dd>the values of the second indicator.</dd>

</dl>

joint_indicators_by_date: `joint_indicators_by_date`

Description

Usage

Value

Arguments