covid_data

<p>Daily number of COVID-19 cases for 58 areas in the United States (including 50 states,
Washington D.C., 5 territories and 2 cruise ships)
for 812 days from 22 Jan 2020 to 12 April 2022.</p>

datasets

Provides a method for detecting multiple change points in high-dimensional time
series, targeting dense or spatially clustered signals. See Li et al. (2023)
"L2 Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM".
arXiv preprint <arXiv:2208.13074>.

Rui Lin

L2hdchange

L2 Inference for Change Points in High-Dimensional Time Series

Jiaqi Li

Likai Chen

Weining Wang

Wei Biao Wu

covid_data function


<div class="section" id="covid-data">
<h3><code>covid_data</code></h3><p></p><p>
</p><p>A data matrix with p = 58 rows and n = 812 columns.</p>
</div>


Format

U.S. COVID-19 Data — covid_data


<div class='section' id='covid-data'>
<h3><code>covid_data</code></h3>


<p>A data matrix with p = 58 rows and n = 812 columns.</p>
</div>


covid_data: U.S. COVID-19 Data

Description

Usage

Arguments

Format

`covid_data`