predict.poisson_rt

Given an object of class <code>poisson_rt</code> produced with <code>estimate_rt()</code>,
calculate predicted observed cases for the estimated Rt values.
Note: This function is not intended for "new x" or to produce forecasts, but
rather to examine how Rt relates to observables.

Use trend filtering, a type of regularized nonparametric
regression, to estimate the instantaneous reproduction number, also
called Rt. This value roughly says how many new infections will result
from each new infection today. Values larger than 1 indicate that an
epidemic is growing while those less than 1 indicate decline. For more
details about this methodology, see Liu, Cai, Gustafson, and McDonald (2024)
<doi:10.1371/journal.pcbi.1012324>.

Daniel McDonald

rtestim

Estimate the Effective Reproductive Number with Trend Filtering

Daniel J. McDonald

Jiaping Liu

Zhenglun Cai

predict.poisson_rt function

<dl><dt>object</dt>
<dd>An object of class <code>poisson_rt</code> produced with <code>estimate_rt()</code>.</dd>
<dt>lambda</dt>
<dd>Select which lambdas from the object to use. If not provided
(the default), all are returned. Note that new lambdas not originally
used in the estimation procedure may be provided, but the results will be
calculated by linearly interpolating the estimated Rt's.</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Predict observed data using estimated Rt — predict.poisson_rt

<dl>

<dt>object</dt>
<dd>An object of class <code>poisson_rt</code> produced with <code>estimate_rt()</code>.</dd>


<dt>lambda</dt>
<dd>Select which lambdas from the object to use. If not provided
(the default), all are returned. Note that new lambdas not originally
used in the estimation procedure may be provided, but the results will be
calculated by linearly interpolating the estimated Rt's.</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

predict.poisson_rt: Predict observed data using estimated Rt

Description

Usage

Value

Arguments

Examples