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mappeR: Construct and Visualize TDA Mapper Graphs

Topological data analysis (TDA) is a method of data analysis that uses techniques from topology to analyze high-dimensional data. Here we implement Mapper, an algorithm from this area developed by Singh, Mémoli and Carlsson (2007) which generalizes the concept of a Reeb graph <https://en.wikipedia.org/wiki/Reeb_graph>.

Version: 1.3.0
Imports: fastcluster, grDevices, igraph, stats, utils
Suggests: testthat (≥ 3.0.0)
Published: 2024-10-30
DOI: 10.32614/CRAN.package.mappeR
Author: George Clare Kennedy [aut, cre]
Maintainer: George Clare Kennedy <george-clarekennedy at uiowa.edu>
BugReports: https://github.com/Uiowa-Applied-Topology/mappeR/issues
License: MIT + file LICENSE
URL: https://github.com/Uiowa-Applied-Topology/mappeR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mappeR results

Documentation:

Reference manual: mappeR.pdf

Downloads:

Package source: mappeR_1.3.0.tar.gz
Windows binaries: r-devel: mappeR_1.3.0.zip, r-release: mappeR_1.3.0.zip, r-oldrel: mappeR_1.3.0.zip
macOS binaries: r-release (arm64): mappeR_1.3.0.tgz, r-oldrel (arm64): mappeR_1.3.0.tgz, r-release (x86_64): mappeR_1.3.0.tgz, r-oldrel (x86_64): mappeR_1.3.0.tgz
Old sources: mappeR archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.