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:978-0-691-13298-3> on computational aspects of optimization on matrix manifolds.
Version: | 0.2.2 |
Depends: | R (≥ 3.0.0) |
Imports: | Rcpp, utils, Rdpack, parallel, stats, pracma |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2019-02-05 |
Author: | Kisung You |
Maintainer: | Kisung You <kyou at nd.edu> |
BugReports: | http://github.com/kisungyou/RiemBase/issues |
License: | GPL-3 |
URL: | http://github.com/kisungyou/RiemBase |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | RiemBase results |
Reference manual: | RiemBase.pdf |
Package source: | RiemBase_0.2.2.tar.gz |
Windows binaries: | r-devel: RiemBase_0.2.2.zip, r-release: RiemBase_0.2.2.zip, r-oldrel: RiemBase_0.2.2.zip |
OS X binaries: | r-release: RiemBase_0.2.2.tgz, r-oldrel: RiemBase_0.2.2.tgz |
Old sources: | RiemBase archive |
Please use the canonical form https://CRAN.R-project.org/package=RiemBase to link to this page.