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gSeg  

Graph-Based Change-Point Detection (g-Segmentation)
View on CRAN: Click here


Download and install gSeg package within the R console
Install from CRAN:
install.packages("gSeg")

Install from Github:
library("remotes")
install_github("cran/gSeg")

Install by package version:
library("remotes")
install_version("gSeg", "1.1")



Attach the package and use:
library("gSeg")
Maintained by
Hao Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-03-08
Latest Update: 2020-09-24
Description:
Using an approach based on similarity graph to estimate change-point(s) and the corresponding p-values. Can be applied to any type of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity measure is available.
How to cite:
Hao Chen (2014). gSeg: Graph-Based Change-Point Detection (g-Segmentation). R package version 1.1, https://cran.r-project.org/web/packages/gSeg. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-09-09 16:10), 0.1 (2014-03-08 00:43), 0.2 (2015-11-08 08:40), 0.3 (2016-03-19 09:30), 0.4 (2017-07-06 09:49), 0.5 (2018-03-15 05:48), 0.6 (2019-03-09 09:32), 0.7 (2020-04-12 07:50), 1.0 (2020-09-24 11:10)
Other packages that cited gSeg R package
View gSeg citation profile
Other R packages that gSeg depends, imports, suggests or enhances
Complete documentation for gSeg
Functions, R codes and Examples using the gSeg R package
Some associated functions: E1 . E2 . E3 . E4 . E5 . gSeg-package . gseg1 . gseg1_discrete . gseg2 . gseg2_discrete . n . nnl . 
Some associated R codes: NNL.R . gSeg_discrete.R .  Full gSeg package functions and examples
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