riemannianStats
Riemannian Statistics for Dimensionality Reduction and Visualization
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | riemannianStats_0.1.1.tar.gz |
1.7 MiB |
0.1.1 |
rolling linux/noble R-4.5 | riemannianStats_0.1.1.tar.gz |
1.7 MiB |
0.1.1 |
rolling source/ R- | riemannianStats_0.1.1.tar.gz |
1.6 MiB |
0.1.1 |
latest linux/noble R-4.5 | riemannianStats_0.1.1.tar.gz |
1.7 MiB |
0.1.1 |
latest source/ R- | riemannianStats_0.1.1.tar.gz |
1.6 MiB |
0.1.1 |
latest linux/jammy R-4.5 | riemannianStats_0.1.1.tar.gz |
1.7 MiB |
0.1.1 |
2026-04-23 source/ R- | riemannianStats_0.1.1.tar.gz |
0 B |