Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Jason Cory Brunson [aut, cre], Brandon Demkowicz [aut], Sanmati Choudhary [aut] |
| Maintainer | Jason Cory Brunson <cornelioid@gmail.com> |
| License | GPL-3 |
| Version | 0.1.1 |
| URL | https://tdaverse.github.io/tdaunif/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the tdaunif package in your browser
Any scripts or data that you put into this service are public.
