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: 0.1.4 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: R.rsp, knitr, rmarkdown Published: 2022-02-28 DOI: 10.32614/CRAN.package.Riemann Author: Kisung You [aut, cre] Maintainer: Kisung You <kisungyou at outlook.com> BugReports: https://github.com/kisungyou/Riemann/issues License: MIT + file LICENSE URL: https://kisungyou.com/Riemann/ NeedsCompilation: yes Materials: README NEWS CRAN checks: Riemann results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Riemann to link to this page.
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