process_regions

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=EpiNow2&version=1.3.4" alt="[Stable]"></a>
Internal function that processes the output from multiple <code>epinow</code> runs, adds
summary logging information.

Estimates the time-varying reproduction number,
rate of spread, and doubling time using a range of open-source tools
(Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and
current best practices (Gostic et al. (2020)
<doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some
of the limitations of naive implementations in a framework that is
informed by community feedback and is actively supported.

Sam Abbott 

EpiNow2

Estimate Real-Time Case Counts and Time-Varying Epidemiological
Parameters

Sam Abbott

Joel Hellewell

Katharine Sherratt

Katelyn Gostic

Joe Hickson

Hamada S. Badr

Michael DeWitt

Robin Thompson

Sophie Meakin

James Munday

Nikos Bosse

Paul Mee

Peter Ellis

Pietro Monticone

Lloyd Chapman

EpiForecasts 

Sebastian Funk

process_regions function

<dl><dt>regional_out</dt>
<dd>A list of output from multiple runs of <code>regional_epinow</code></dd>
<dt>regions</dt>
<dd>A character vector identifying the regions that have been run</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
Internal function that processes the output from multiple <code>epinow</code> runs, adds
summary logging information.

Process all Region Estimates — process_regions

<dl>

<dt>regional_out</dt>
<dd>A list of output from multiple runs of <code>regional_epinow</code></dd>


<dt>regions</dt>
<dd>A character vector identifying the regions that have been run</dd>

</dl>

Process all Region Estimates

process_regions: Process all Region Estimates

Description

Usage

Value

Arguments

See Also