Provides tools for applying statistical methods on Riemannian manifolds using local geometry derived from Uniform Manifold Approximation and Projection (UMAP). The package enables dimensionality reduction, visualization, and analysis of complex data through Riemannian versions of principal component analysis and related multivariate methods. Methods are based on McInnes et al. (2018) <doi:10.21105/joss.00861>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1) |
| Imports: | rlang, ggplot2, ggrepel, grid, uwot |
| Suggests: | scatterplot3d, plotly, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-07-17 |
| DOI: | 10.32614/CRAN.package.riemannianStats (may not be active yet) |
| Author: | Oldemar Rodríguez Rojas [aut, cre], Jennifer Lobo Vásquez [aut] |
| Maintainer: | Oldemar Rodríguez Rojas <oldemar.rodriguez at ucr.ac.cr> |
| License: | BSD_3_clause + file LICENSE |
| NeedsCompilation: | no |
| Language: | en-US |
| CRAN checks: | riemannianStats results |
| Reference manual: | riemannianStats.html , riemannianStats.pdf |
| Vignettes: |
Data10D_250 Example (source, R code) Student example (source, R code) |
| Package source: | riemannianStats_0.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): riemannianStats_0.1.1.tgz, r-oldrel (arm64): riemannianStats_0.1.1.tgz, r-release (x86_64): riemannianStats_0.1.1.tgz, r-oldrel (x86_64): riemannianStats_0.1.1.tgz |
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