tdaunif: Uniform Manifold Samplers for Topological Data Analysis

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 <cornelioid at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tdaunif results


Reference manual: tdaunif.pdf
Vignettes: uniform and stratified sampling from manifolds


Package source: tdaunif_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): tdaunif_0.2.0.tgz, r-oldrel (arm64): tdaunif_0.2.0.tgz, r-release (x86_64): tdaunif_0.2.0.tgz, r-oldrel (x86_64): tdaunif_0.2.0.tgz
Old sources: tdaunif archive


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