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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

Documentation:

Reference manual: RiemBase.pdf

Downloads:

Package source: RiemBase_0.2.5.tar.gz
Windows binaries: r-devel: 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-oldrel (arm64): RiemBase_0.2.5.tgz, r-release (x86_64): RiemBase_0.2.5.tgz, r-oldrel (x86_64): 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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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