Grassmann manifold is a set of k-planes or linear subspaces in Euclidean space. We provide algorithms for statistical inference, optimization, and learning over the Grassmann manifold. For general exposition to the statistics on the manifold, see the book by Chikuse (2003) <doi:10.1007/978-0-387-21540-2>.
Version: | 0.1.0 |
Imports: | Rcpp, RiemBase, RiemBaseExt, utils, stats |
LinkingTo: | Rcpp, RcppArmadillo, RiemBase |
Published: | 2020-03-25 |
Author: | Kisung You |
Maintainer: | Kisung You <kyoustat at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | RiemGrassmann results |
Reference manual: | RiemGrassmann.pdf |
Package source: | RiemGrassmann_0.1.0.tar.gz |
Windows binaries: | r-devel: RiemGrassmann_0.1.0.zip, r-release: RiemGrassmann_0.1.0.zip, r-oldrel: RiemGrassmann_0.1.0.zip |
macOS binaries: | r-release: RiemGrassmann_0.1.0.tgz, r-oldrel: RiemGrassmann_0.1.0.tgz |
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