dup.merge

<p>Remove duplicated from all.cpts data frame:
In case one change being added multiple times, choose the one
with smallest p-value</p>

internal

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

dup.merge function

Remove duplicated from all.cpts data frame:
In case one change being added multiple times, choose the one
with smallest p-value — dup.merge

Remove duplicated from all.cpts data frame:
In case one change being added multiple times, choose the one
with smallest p-value

dup.merge: Remove duplicated from all.cpts data frame: In case one change being added multiple times, choose the one with smallest p-value

Description

Usage

Arguments