doi:10.1145/218380.218500>, and rejection sampling, as employed by Diaconis, Holmes, and Shahshahani (2013) <doi:10.1214/12-IMSCOLL1006>.">

tdaunif: Uniform Manifold Samplers for Topological Data Analysis (original) (raw)

Uniform random samples from simple manifolds, sometimes with noise, are commonly used to test topological data analytic (TDA) tools. This package includes samplers powered by two techniques: analytic volume-preserving parameterizations, as employed by Arvo (1995) <doi:10.1145/218380.218500>, and rejection sampling, as employed by Diaconis, Holmes, and Shahshahani (2013) <doi:10.1214/12-IMSCOLL1006>.

Version: 0.2.0
Depends: R (≥ 3.3.0)
Suggests: knitr, rmarkdown, testthat, vdiffr (≥ 0.2)
Published: 2024-06-17
DOI: 10.32614/CRAN.package.tdaunif
Author: Jason Cory Brunson [aut, cre], Brandon Demkowicz [aut], Sanmati Choudhary [aut], Barry W. Brunson [ctb]
Maintainer: Jason Cory Brunson
BugReports: https://github.com/tdaverse/tdaunif/issues
License: GPL-3
URL: https://tdaverse.github.io/tdaunif/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: tdaunif results

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