Riemann
Learning with Data on Riemannian Manifolds
We provide a variety of algorithms for manifold-valued data, including Fréchet summaries, hypothesis testing, clustering, visualization, and other learning tasks. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> for general exposition to statistics on manifolds.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.7 |
rolling linux/jammy R-4.5 | Riemann_0.1.7.tar.gz |
2.6 MiB |
0.1.7 |
rolling linux/noble R-4.5 | Riemann_0.1.7.tar.gz |
2.6 MiB |
0.1.7 |
rolling source/ R- | Riemann_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
latest linux/jammy R-4.5 | Riemann_0.1.7.tar.gz |
2.6 MiB |
0.1.7 |
latest linux/noble R-4.5 | Riemann_0.1.7.tar.gz |
2.6 MiB |
0.1.7 |
latest source/ R- | Riemann_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
2026-04-26 source/ R- | Riemann_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
2026-04-23 source/ R- | Riemann_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
2026-04-09 windows/windows R-4.5 | Riemann_0.1.7.zip |
3.0 MiB |
0.1.4 |
2025-04-20 source/ R- | Riemann_0.1.4.tar.gz |
2.0 MiB |