gSeg: Graph-Based Change-Point Detection (g-Segmentation)

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.

Version: 1.0
Depends: R (≥ 3.0.1)
Suggests: ade4
Published: 2020-09-24
Author: Hao Chen, Nancy R. Zhang, Lynna Chu, and Hoseung Song
Maintainer: Hao Chen <hxchen at ucdavis.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: gSeg results

Documentation:

Reference manual: gSeg.pdf

Downloads:

Package source: gSeg_1.0.tar.gz
Windows binaries: r-devel: gSeg_1.0.zip, r-release: gSeg_1.0.zip, r-oldrel: gSeg_1.0.zip
macOS binaries: r-release (arm64): gSeg_1.0.tgz, r-oldrel (arm64): gSeg_1.0.tgz, r-release (x86_64): gSeg_1.0.tgz, r-oldrel (x86_64): gSeg_1.0.tgz
Old sources: gSeg archive

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