Visualizing Topological Loops and Voids R package RPointCloud version 0.9.1 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>. Software Depends: R (>= 3.5) Imports: methods, graphics, stats, TDA, ClassDiscovery, ClassComparison (>= 3.3), Mercator, rgl, splines, circlize Suggests: knitr, rmarkdown, Polychrome, igraph, ape, PCDimension Kevin R. Coombes <krc@silicovore.com> Comprehensive R Archive Network (CRAN) Kevin R. Coombes [aut, cre], Jake Reed [aut], RB McGee [aut] Artistic-2.0 2026-02-17 application/tgz https://CRAN.R-project.org/package=RPointCloud doi:10.32614/CRAN.package.RPointCloud