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
DOI:	10.32614/CRAN.package.RiemBase
Author:	Kisung You [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:

ETRep, Riemann

Linking:

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