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.
| Version: | 0.1.6 |
| Depends: | R (≥ 2.10) |
| Imports: | CVXR,Rcpp (≥ 1.0.5),Rdpack,RiemBase,Rdimtools,T4cluster,DEoptim,lpSolve,Matrix,maotai (≥ 0.2.2), stats, utils |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-09-26 |
| DOI: | 10.32614/CRAN.package.Riemann |
| Author: | Kisung You [aut, cre] |
| Maintainer: | Kisung You <kisung.you at outlook.com> |
| BugReports: | https://github.com/kisungyou/Riemann/issues |
| License: | MIT + fileLICENSE |
| URL: | https://www.kisungyou.com/Riemann/ |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | Riemann results |
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