forecast_metrics

Extract current forecast metrics: forecast prediction, percentile interval and Rt value

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

forecast_metrics function

<dl><dt>time_period_result</dt>
<dd>output from <code>forecast_time_period</code></dd>
<dt>iter</dt>
<dd>number of MCMC iterations used to generate Rt posterior</dd></dl>

Arguments

Extract current forecast metrics: forecast prediction, percentile interval and Rt value — forecast_metrics

<dl>

<dt>time_period_result</dt>
<dd>output from <code>forecast_time_period</code></dd>


<dt>iter</dt>
<dd>number of MCMC iterations used to generate Rt posterior</dd>

</dl>

forecast_metrics: Extract current forecast metrics: forecast prediction, percentile interval and Rt value

Description

Usage

Value

Arguments