update_horizon

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=EpiNow2&version=1.7.1" alt="[Stable]"></a>
Makes sure that a forecast is returned for the user specified time period
beyond the target date.

internal

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.

Sebastian Funk

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

James M. Azam

Robin Thompson

Sophie Meakin

James Munday

Nikos Bosse

Paul Mee

Peter Ellis

Pietro Monticone

Lloyd Chapman

Andrew Johnson

Kaitlyn Johnson

EpiForecasts 

update_horizon function

<dl><dt>horizon</dt>
<dd>Numeric, defaults to 7. Number of days into the future to
forecast.</dd>
<dt>target_date</dt>
<dd>Date, defaults to maximum found in the data if not
specified.</dd>
<dt>data</dt>
<dd>A <code>&lt;data.frame&gt;</code> of disease reports (confirm) by date (date).
<code>confirm</code> must be numeric and <code>date</code> must be in date format. Optionally
this can also have a logical <code>accumulate</code> column which indicates whether
data should be added to the next data point. This is useful when modelling
e.g. weekly incidence data. See also the <code>fill_missing()</code> function which
helps add the <code>accumulate</code> column with the desired properties when dealing
with non-daily data. If any accumulation is done this happens after
truncation as specified by the <code>truncation</code> argument.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
Makes sure that a forecast is returned for the user specified time period
beyond the target date.

Updates Forecast Horizon Based on Input Data and Target — update_horizon

<dl>

<dt>horizon</dt>
<dd>Numeric, defaults to 7. Number of days into the future to
forecast.</dd>


<dt>target_date</dt>
<dd>Date, defaults to maximum found in the data if not
specified.</dd>


<dt>data</dt>
<dd>A <code>&lt;data.frame&gt;</code> of disease reports (confirm) by date (date).
<code>confirm</code> must be numeric and <code>date</code> must be in date format. Optionally
this can also have a logical <code>accumulate</code> column which indicates whether
data should be added to the next data point. This is useful when modelling
e.g. weekly incidence data. See also the <code>fill_missing()</code> function which
helps add the <code>accumulate</code> column with the desired properties when dealing
with non-daily data. If any accumulation is done this happens after
truncation as specified by the <code>truncation</code> argument.</dd>

</dl>

Updates Forecast Horizon Based on Input Data and Target

update_horizon: Updates Forecast Horizon Based on Input Data and Target

Description

Usage

Value

Arguments