project_epiestim_model

Function to produce short-term daily projections from objects of class <code>estimate_R</code>

Tools for reporting and forecasting viral respiratory infections,
using case surveillance data. Report generation tools for short-term forecasts,
and validation metrics for an arbitrary number of customizable respiratory viruses.
Estimation of the effective reproduction number is based on the 'EpiEstim' framework
described in work by 'Cori' and colleagues. (2013) <doi:10.1093/aje/kwt133>.

Mike Irvine

ViroReportR

Respiratory Viral Infection Forecast Reporting

Caesar Wong

Nirupama Tamvada

Rebeca Falcao

Nelson Tang

project_epiestim_model function

<dl><dt>data</dt>
<dd>data frame containing two columns: date and confirm (number of cases per day)</dd>
<dt>model_fit</dt>
<dd>Object of class <code>estimate_R</code> generated by running <code>fit_epiestim_model</code></dd>
<dt>n_days</dt>
<dd>The number of days to run simulations for. Defaults to 14</dd>
<dt>n_sim</dt>
<dd>The number of epicurves to simulate. Defaults to 1000</dd></dl>

Arguments

Extract daily forecast samples — project_epiestim_model

<dl>

<dt>data</dt>
<dd>data frame containing two columns: date and confirm (number of cases per day)</dd>


<dt>model_fit</dt>
<dd>Object of class <code>estimate_R</code> generated by running <code>fit_epiestim_model</code></dd>


<dt>n_days</dt>
<dd>The number of days to run simulations for. Defaults to 14</dd>


<dt>n_sim</dt>
<dd>The number of epicurves to simulate. Defaults to 1000</dd>

</dl>

project_epiestim_model: Extract daily forecast samples

Description

Usage

Value

Arguments