[aut,
cre]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: | 0.1.0 |
| Imports: | Rcpp (≥ 1.0.5), Rdpack, RiemBase, maotai, stats, utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2020-09-22 |
| Author: | Kisung You [aut,
cre] |
| Maintainer: | Kisung You <kyoustat at gmail.com> |
| BugReports: | https://github.com/kyoustat/Riemann/issues |
| License: | MIT + file LICENSE |
| URL: | http://kyoustat.com/Riemann/ |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | Riemann results |
| Reference manual: | Riemann.pdf |
| Package source: | Riemann_0.1.0.tar.gz |
| Windows binaries: | r-devel: Riemann_0.1.0.zip, r-release: Riemann_0.1.0.zip, r-oldrel: Riemann_0.1.0.zip |
| macOS binaries: | r-release: Riemann_0.1.0.tgz, r-oldrel: Riemann_0.1.0.tgz |
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