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RiemBase
View on CRAN: Click
here
Download and install RiemBase package within the R console
Install from CRAN:
install.packages("RiemBase")
Install from Github:
library("remotes")
install_github("cran/RiemBase")
Install by package version:
library("remotes")
install_version("RiemBase", "0.2.5")
Attach the package and use:
library("RiemBase")
Maintained by
Kisung You
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-04
Latest Update: 2021-08-21
Description:
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.
How to cite:
Kisung You (2018). RiemBase: Functions and C++ Header Files for Computation on Manifolds. R package version 0.2.5, https://cran.r-project.org/web/packages/RiemBase
Previous versions and publish date:
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imports, suggests or enhances
Functions, R codes and Examples using
the RiemBase R package
Some associated functions: RiemBase-package . rbase.curvedist . rbase.mean . rbase.median . rbase.pdist . rbase.pdist2 . rbase.robust . riemfactory .
Some associated R codes: RcppExports.R . RiemBase-package.R . auxiliary.R . auxiliary_checkers.R . init.R . rbase.curvedist.R . rbase.mean.R . rbase.median.R . rbase.pdist.R . rbase.pdist2.R . rbase.robust.R . riemfactory.R . Full RiemBase package functions and examples
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