summary.result_nbd

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

summary.result_nbd function

<dl><dt>object</dt>
<dd>An S3 object of class 'result_nbd' created by <code>get_breaks()</code>.</dd>
<dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Summarize the estimation results — summary.result_nbd

<dl>

<dt>object</dt>
<dd>An S3 object of class 'result_nbd' created by <code>get_breaks()</code>.</dd>


<dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

Summarize the estimation results

summary.result_nbd: Summarize the estimation results

Description

Usage

Value

Arguments

Details