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RPointCloud  

Visualizing Topological Loops and Voids
View on CRAN: Click here


Download and install RPointCloud package within the R console
Install from CRAN:
install.packages("RPointCloud")

Install from Github:
library("remotes")
install_github("cran/RPointCloud")

Install by package version:
library("remotes")
install_version("RPointCloud", "0.8.0")



Attach the package and use:
library("RPointCloud")
Maintained by
Kevin R. Coombes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-25
Latest Update: 2024-08-19
Description:
Visualizations to explain the results of a topological data analysis. The goal of topological data analysis is to identify persistent topological structures, such as loops (topological circles) and voids (topological spheres), in data sets. The output of an analysis using the 'TDA' package is a Rips diagram (named after the mathematician Eliyahu Rips). The goal of 'RPointCloud' is to fill in these holes in the data by providing tools to visualize the features that help explain the structures found in the Rips diagram. See McGee and colleagues (2024) <doi:10.1101/2024.05.16.593927>.
How to cite:
Kevin R. Coombes (2024). RPointCloud: Visualizing Topological Loops and Voids. R package version 0.8.0, https://cran.r-project.org/web/packages/RPointCloud. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.6.2 (2024-06-25 13:41), 0.8.0 (2024-08-19 23:20)
Other packages that cited RPointCloud R package
View RPointCloud citation profile
Other R packages that RPointCloud depends, imports, suggests or enhances
Complete documentation for RPointCloud
Functions, R codes and Examples using the RPointCloud R package
Full RPointCloud package functions and examples
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