Package: GTRT 0.1.0

Shriya Gehlot

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.

Authors:Shriya Gehlot [aut, cre], Arnab Kumar Laha [aut]

GTRT_0.1.0.tar.gz
GTRT_0.1.0.tar.gz(r-4.7-any)GTRT_0.1.0.tar.gz(r-4.6-any)
GTRT_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GTRT/json (API)

# Install 'GTRT' in R:
install.packages('GTRT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 452 downloads 13 exports 3 dependencies

Last updated from:7400fab048. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK112
source / vignettesOK167
linux-release-x86_64OK113
wasm-releaseOK117

Exports:cdf.rcagcdf.rigdeg.rcagdeg.righellinger.distnip.rcagnip.rigrcagdd.testrcagep.testrigdd.testrigep.testthrsd.rcagddthrsd.rigdd

Dependencies:bootcircularmvtnorm

Randomness Tests for Circular Data
Introduction | RCAG-EP Test | RCAG-DD Test | Real World Example | References
Rendered fromGTRT_circular.Rmdusingknitr::rmarkdown

Last update: 2025-09-02
Started: 2025-09-02

Randomness Tests for Linear Data
Introduction | RIG-EP Test | RIG-DD Test | Real World Example | References
Rendered fromGTRT_linear.Rmdusingknitr::rmarkdown

Last update: 2025-09-02
Started: 2025-09-02