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changepoint.influence
View on CRAN: Click
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Download and install changepoint.influence package within the R console
Install from CRAN:
install.packages("changepoint.influence")
Install from Github:
library("remotes")
install_github("cran/changepoint.influence") Install by package version:
library("remotes")
install_version("changepoint.influence", "1.0.2") Attach the package and use:
library("changepoint.influence")
Maintained by
Rebecca Killick
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-04
Latest Update: 2024-02-20
Description:
Allows users to input their data, segmentation and function used for the segmentation (and additional arguments) and the package calculates the influence of the data on the changepoint locations, see Wilms et al. (2022) . Currently this can only be used with the changepoint package functions to identify changes, but we plan to extend this. There are options for different types of graphics to assess the influence.
How to cite:
Rebecca Killick (2021). changepoint.influence: Package to Calculate the Influence of the Data on a Changepoint Segmentation. R package version 1.0.2, https://cran.r-project.org/web/packages/changepoint.influence. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:25), 1.0.1 (2021-08-04 17:00)
Other packages that cited changepoint.influence R package
View changepoint.influence citation profile
Other R packages that changepoint.influence depends,
imports, suggests or enhances
Complete documentation for changepoint.influence
Functions, R codes and Examples using
the changepoint.influence R package
Some associated functions: InfluenceMap . LocationStability . ParameterStability . StabilityOverview . changepoint.influence-package . influence-methods . welldata .
Some associated R codes: InfluenceMap.R . LocationStability.R . ParameterStability.R . StabilityOverview.R . delete.expected.mean.R . influence.cpt.R . loo.ind.cpt.R . make.many.outlier.R . moo.ind.cpt.R . outlier.expected.mean.R . Full changepoint.influence package functions and examples
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