fit_curve

Provides functions to work with 'incidence2' objects, including a
simplified interface for trend fitting and peak estimation. This package is
part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for
outbreak analysis (<https://www.reconverse.org/).

Tim Taylor

i2extras

Functions to Work with 'incidence2' Objects

Thibaut Jombart

fit_curve function

<dl><dt>x</dt>
<dd>An incidence2::incidence object.</dd>
<dt>model</dt>
<dd><code>[character]</code>
The regression model to fit (can be "poisson" or "negbin").</dd>
<dt>alpha</dt>
<dd><code>[numeric]</code>
Value of alpha used to calculate confidence intervals; defaults to 0.05 which
corresponds to a 95% confidence interval.</dd>
<dt>...</dt>
<dd>Additional arguments to pass to <code><a href="/link/stats%3A%3Aglm()?package=i2extras&version=0.2.1" data-mini-rdoc="i2extras::stats::glm()">stats::glm()</a></code> for <code>model = "poisson"</code> or
<code><a href="/link/MASS%3A%3Aglm.nb()?package=i2extras&version=0.2.1" data-mini-rdoc="i2extras::MASS::glm.nb()">MASS::glm.nb()</a></code> for <code>model = "negbin"</code>.</dd></dl>

Arguments

Fit an epi curve — fit_curve

<dl>

<dt>x</dt>
<dd>An incidence2::incidence object.</dd>


<dt>model</dt>
<dd><code>[character]</code>
The regression model to fit (can be "poisson" or "negbin").</dd>


<dt>alpha</dt>
<dd><code>[numeric]</code>
Value of alpha used to calculate confidence intervals; defaults to 0.05 which
corresponds to a 95% confidence interval.</dd>


<dt>...</dt>
<dd>Additional arguments to pass to <code><a href='https://rdrr.io/r/stats/glm.html'>stats::glm()</a></code> for <code>model = "poisson"</code> or
<code><a href='https://rdrr.io/pkg/MASS/man/glm.nb.html'>MASS::glm.nb()</a></code> for <code>model = "negbin"</code>.</dd>

</dl>

fit_curve: Fit an epi curve

Description

Usage

Value

Arguments