RiemStiefel: Inference, Learning, and Optimization on Stiefel Manifold

Stiefel manifold is a set of orthonormal frames in Euclidean space. We provide algorithms for statistical inference, optimization, and learning over the Stiefel 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: 0.1.1
Imports: Rcpp, Rdpack, 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: RiemStiefel results


Reference manual: RiemStiefel.pdf
Package source: RiemStiefel_0.1.1.tar.gz
Windows binaries: r-devel: RiemStiefel_0.1.1.zip, r-release: RiemStiefel_0.1.1.zip, r-oldrel: RiemStiefel_0.1.1.zip
macOS binaries: r-release: RiemStiefel_0.1.1.tgz, r-oldrel: RiemStiefel_0.1.1.tgz
Old sources: RiemStiefel archive


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