RiemBase: Functions and C++ Header Files for Computation on Manifolds

We provide a number of algorithms to estimate fundamental statistics including Fréchet mean and geometric median for manifold-valued data. Also, C++ header files are contained that implement elementary operations on manifolds such as Sphere, Grassmann, and others. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> if you are interested in statistics on manifolds, and Absil et al (2007, ISBN:9780691132983) on computational aspects of optimization on matrix manifolds.

Version: 0.2.5
Depends: R (≥ 3.0.0)
Imports: Rcpp, utils, Rdpack, parallel, stats, pracma
LinkingTo: Rcpp, RcppArmadillo
Published: 2021-08-21
Author: Kisung You ORCID iD [aut, cre]
Maintainer: Kisung You <kisungyou at outlook.com>
BugReports: https://github.com/kisungyou/RiemBase/issues
License: MIT + file LICENSE
URL: https://github.com/kisungyou/RiemBase
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: RiemBase results

Downloads:

Reference manual: RiemBase.pdf
Package source: RiemBase_0.2.5.tar.gz
Windows binaries: r-devel: RiemBase_0.2.5.zip, r-devel-UCRT: RiemBase_0.2.5.zip, r-release: RiemBase_0.2.5.zip, r-oldrel: RiemBase_0.2.5.zip
macOS binaries: r-release (arm64): RiemBase_0.2.5.tgz, r-release (x86_64): RiemBase_0.2.5.tgz, r-oldrel: RiemBase_0.2.5.tgz
Old sources: RiemBase archive

Reverse dependencies:

Reverse imports: Riemann

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RiemBase to link to this page.