check_sparse_pmf_tail

Checks if the tail of a PMF vector has more than <code>span</code>
consecutive values smaller than <code>tol</code> and throws a warning if so.

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 

check_sparse_pmf_tail function

<dl><dt>pmf</dt>
<dd>A probability mass function vector</dd>
<dt>span</dt>
<dd>The number of consecutive indices in the tail to check</dd>
<dt>tol</dt>
<dd>The value which to consider the tail as sparse</dd></dl>

Arguments

Check that PMF tail is not sparse — check_sparse_pmf_tail

<dl>

<dt>pmf</dt>
<dd>A probability mass function vector</dd>


<dt>span</dt>
<dd>The number of consecutive indices in the tail to check</dd>


<dt>tol</dt>
<dd>The value which to consider the tail as sparse</dd>

</dl>

Check that PMF tail is not sparse

check_sparse_pmf_tail: Check that PMF tail is not sparse

Description

Usage

Value

Arguments