RiemGrassmann: Inference, Learning, and Optimization on Grassmann Manifold

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 ORCID iD [aut, cre]
Maintainer: Kisung You <kyoustat at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: RiemGrassmann results

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Reference manual: RiemGrassmann.pdf
Package source: RiemGrassmann_0.1.0.tar.gz
Windows binaries: r-devel: RiemGrassmann_0.1.0.zip, r-devel-gcc8: RiemGrassmann_0.1.0.zip, r-release: RiemGrassmann_0.1.0.zip, r-oldrel: RiemGrassmann_0.1.0.zip
OS X binaries: r-release: RiemGrassmann_0.1.0.tgz, r-oldrel: not available

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