print.multiscale.cpts

Print method for objects of class <code>multiscale.cpts</code>

Implementations of MOSUM-based statistical procedures and algorithms for detecting multiple changes in the mean. This comprises the MOSUM procedure for estimating multiple mean changes from Eichinger and Kirch (2018) <doi:10.3150/16-BEJ887> and the multiscale algorithmic extension from Cho and Kirch (2022) <doi:10.1007/s10463-021-00811-5>, as well as the bootstrap procedure for generating confidence intervals about the locations of change points as proposed in Cho and Kirch (2022) <doi:10.1016/j.csda.2022.107552>. See also Meier, Kirch and Cho (2021) <doi:10.18637/jss.v097.i08> which accompanies the R package.

Haeran Cho

mosum

Moving Sum Based Procedures for Changes in the Mean

Alexander Meier

Claudia Kirch

print.multiscale.cpts function

<dl><dt>x</dt>
<dd>a <code>multiscale.cpts</code> object</dd>
<dt>...</dt>
<dd>not in use</dd></dl>

Arguments

Change points estimated by multiscale MOSUM procedure — print.multiscale.cpts

<dl>

<dt>x</dt>
<dd>a <code>multiscale.cpts</code> object</dd>


<dt>...</dt>
<dd>not in use</dd>

</dl>

print.multiscale.cpts: Change points estimated by multiscale MOSUM procedure

Description

Usage

Arguments

Examples