RPointCloud: Visualizing Topological Loops and Voids

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>.

Version:	0.8.0
Depends:	R (≥ 3.5)
Imports:	methods, graphics, stats, TDA, ClassDiscovery, ClassComparison (≥ 3.3), Mercator, rgl, splines, circlize
Suggests:	knitr, rmarkdown, Polychrome, igraph, ape, PCDimension
Published:	2024-08-19
DOI:	10.32614/CRAN.package.RPointCloud
Author:	Kevin R. Coombes [aut, cre], Jake Reed [aut], RB McGee [aut]
Maintainer:	Kevin R. Coombes <krc at silicovore.com>
License:	Artistic-2.0
URL:	http://oompa.r-forge.r-project.org/
NeedsCompilation:	no
CRAN checks:	RPointCloud results

Documentation:

Reference manual:	RPointCloud.pdf
Vignettes:	RPointCloud: CLL Clinical Data (source, R code) RPointCloud: A Mass Cytometry Example (source, R code) RPointCloud: Regulatory T Cells (source, R code)

Downloads:

Package source:	RPointCloud_0.8.0.tar.gz
Windows binaries:	r-devel: RPointCloud_0.8.0.zip, r-release: RPointCloud_0.8.0.zip, r-oldrel: RPointCloud_0.8.0.zip
macOS binaries:	r-release (arm64): RPointCloud_0.8.0.tgz, r-oldrel (arm64): RPointCloud_0.8.0.tgz, r-release (x86_64): RPointCloud_0.8.0.tgz, r-oldrel (x86_64): RPointCloud_0.8.0.tgz
Old sources:	RPointCloud archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RPointCloud to link to this page.