graphseg: Segmentation of Graph-Based Signals

Perform segmentation of graph-based signals. Assume a noisy observation of a signal two values correspond to vertices on a graph. Assume the true value of the signal is piece-wise constant (where each \italic{piece} is a connected subgraph). The main function, agraph(), computes the segmentation of the signal. The package also includes a wrapper around the competing method flsa() (from package 'flsa'). More information about this method in Goepp and van de Kassteele (2022) "Graph-Based Spatial Segmentation of Health-Related Areal Data" <doi:10.48550/arXiv.2206.06752>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: igraph, magrittr, methods, Matrix, sf, flsa
Suggests: testthat, knitr, rmarkdown
Published: 2023-05-02
Author: Vivien Goepp ORCID iD [aut, cre]
Maintainer: Vivien Goepp <vivien.goepp at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: graphseg results


Reference manual: graphseg.pdf


Package source: graphseg_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): graphseg_0.1.0.tgz, r-oldrel (arm64): graphseg_0.1.0.tgz, r-release (x86_64): graphseg_0.1.0.tgz, r-oldrel (x86_64): graphseg_0.1.0.tgz


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