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GTRT: Graph Theoretic Randomness Tests

A collection of functions for testing randomness (or mutual independence) in linear and circular data as proposed in Gehlot and Laha (2025a) <doi:10.48550/arXiv.2506.21157> and Gehlot and Laha (2025b) <doi:10.48550/arXiv.2506.23522>, respectively.

Version: 0.1.0
Imports: stats, circular
Suggests: knitr, rmarkdown, timeSeriesDataSets
Published: 2025-09-02
DOI: 10.32614/CRAN.package.GTRT
Author: Shriya Gehlot [aut, cre], Arnab Kumar Laha [aut]
Maintainer: Shriya Gehlot <phd20shriyag at iima.ac.in>
License: GPL-3
NeedsCompilation: no
CRAN checks: GTRT results

Documentation:

Reference manual: GTRT.html , GTRT.pdf
Vignettes: Randomness Tests for Circular Data (source, R code)
Randomness Tests for Linear Data (source, R code)

Downloads:

Package source: GTRT_0.1.0.tar.gz
Windows binaries: r-devel: GTRT_0.1.0.zip, r-release: GTRT_0.1.0.zip, r-oldrel: GTRT_0.1.0.zip
macOS binaries: r-release (arm64): GTRT_0.1.0.tgz, r-oldrel (arm64): GTRT_0.1.0.tgz, r-release (x86_64): GTRT_0.1.0.tgz, r-oldrel (x86_64): GTRT_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GTRT to link to this page.

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.
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