clean_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>
Removes regions with insufficient time points, and provides logging information on the
input.

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

clean_regions function

<dl><dt>reported_cases</dt>
<dd>A data frame of confirmed cases (confirm) by date (date), and region (<code>region</code>).</dd>
<dt>non_zero_points</dt>
<dd>Numeric, the minimum number of time points with non-zero cases in a region required for
that region to be evaluated. Defaults to 7.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
Removes regions with insufficient time points, and provides logging information on the
input.

Clean Regions — clean_regions

<dl>

<dt>reported_cases</dt>
<dd>A data frame of confirmed cases (confirm) by date (date), and region (<code>region</code>).</dd>


<dt>non_zero_points</dt>
<dd>Numeric, the minimum number of time points with non-zero cases in a region required for
that region to be evaluated. Defaults to 7.</dd>

</dl>

Clean Regions

clean_regions: Clean Regions

Description

Usage

Value

Arguments

See Also