Learning with Data on Riemannian Manifolds R package Riemann version 0.1.7 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. Software Depends: R (>= 2.10) Imports: Rcpp (>= 1.0.5), Rdpack, RiemBase, Rdimtools, T4cluster, T4transport, DEoptim, lpSolve, Matrix, maotai (>= 0.2.2), stats, utils LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0) Kisung You <kisung.you@outlook.com> Comprehensive R Archive Network (CRAN) Kisung You [aut, cre] (ORCID: <https://orcid.org/0000-0002-8584-459X>) MIT + file LICENSE (https://CRAN.R-project.org/package=Riemann/LICENSE) 2026-03-25 application/tgz https://CRAN.R-project.org/package=Riemann doi:10.32614/CRAN.package.Riemann