plot_forecast_comparison

<a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated"><img src="figures/lifecycle-deprecated.svg?package=ViroReportR&version=1.0.4" alt="[Deprecated]"></a>
This function is deprecated and may be removed in a future release.
This function visualizes and compares multiple forecast outputs generated by
<code>generate_forecast()</code>.
It plots median predicted incidences with 80% and 90% predictive intervals.

internal

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

plot_forecast_comparison function

<dl><dt>...</dt>
<dd>Named forecast result objects produced by <code>generate_forecast()</code>.
Each object should contain a data frame <code>forecast_res_quantiles</code> with columns:<ul>
<li><code>date</code>: Forecast date</li>
<li><code>p10</code>, <code>p50</code>, <code>p90</code>: 10th, median, and 90th quantile predictions</li>
<li>(Optional) other quantiles if available</li>
</ul></dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#deprecated'><img src='figures/lifecycle-deprecated.svg' alt='[Deprecated]' /></a>
This function is deprecated and may be removed in a future release.
This function visualizes and compares multiple forecast outputs generated by
<code>generate_forecast()</code>.
It plots median predicted incidences with 80% and 90% predictive intervals.

Compare Forecast Outputs — plot_forecast_comparison

<dl>

<dt>...</dt>
<dd>Named forecast result objects produced by <code>generate_forecast()</code>.
Each object should contain a data frame <code>forecast_res_quantiles</code> with columns:<ul>
<li><code>date</code>: Forecast date</li>
<li><code>p10</code>, <code>p50</code>, <code>p90</code>: 10th, median, and 90th quantile predictions</li>
<li>(Optional) other quantiles if available</li>
</ul></dd>

</dl>

plot_forecast_comparison: Compare Forecast Outputs

Description

Usage

Value

Arguments

See Also