Learning with Data on Riemannian Manifolds

We provide a variety of algorithms for manifold-valued data, including Fr├ęchet summaries, hypothesis testing, clustering, visualization, and other learning tasks. See Bhattacharya and Bhattacharya (2012) for general exposition to statistics on manifolds.


Reference manual

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0.1.0 by Kisung You, 7 months ago


Report a bug at https://github.com/kyoustat/Riemann/issues

Browse source code at https://github.com/cran/Riemann

Authors: Kisung You [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, Rdpack, RiemBase, maotai, stats, utils

Linking to Rcpp, RcppArmadillo

See at CRAN