Package: RiemBase 0.2.5

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.

Authors:Kisung You [aut, cre]

RiemBase_0.2.5.tar.gz
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RiemBase.pdf |RiemBase.html✨
RiemBase/json (API)
NEWS

# Install 'RiemBase' in R:
install.packages('RiemBase', repos = c('https://kisungyou.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kisungyou/riembase/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

4.07 score 3 stars 2 packages 13 scripts 296 downloads 7 exports 5 dependencies

Last updated 3 years agofrom:82acc4bcc2. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-win-x86_64NOTENov 13 2024
R-4.5-linux-x86_64NOTENov 13 2024
R-4.4-win-x86_64NOTENov 13 2024
R-4.4-mac-x86_64NOTENov 13 2024
R-4.4-mac-aarch64NOTENov 13 2024
R-4.3-win-x86_64NOTENov 13 2024
R-4.3-mac-x86_64NOTENov 13 2024
R-4.3-mac-aarch64NOTENov 13 2024

Exports:rbase.curvedistrbase.meanrbase.medianrbase.pdistrbase.pdist2rbase.robustriemfactory

Dependencies:pracmarbibutilsRcppRcppArmadilloRdpack