create_complete_cases

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=EpiNow2&version=1.6.1" alt="[Stable]"></a>
Creates a complete data set without NA values and appropriate indices

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 

create_complete_cases function

<dl><dt>cases</dt>
<dd>data frame with a column "confirm" that may contain NA values</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
Creates a complete data set without NA values and appropriate indices

Create complete cases — create_complete_cases

<dl>

<dt>cases</dt>
<dd>data frame with a column "confirm" that may contain NA values</dd>

</dl>

Create complete cases

create_complete_cases: Create complete cases

Description

Usage

Value

Arguments