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JacobiEigen: Classical Jacobi Eigenvalue Algorithm

Implements the classical Jacobi algorithm for the eigenvalues and eigenvectors of a real symmetric matrix, both in pure 'R' and in 'C++' using 'Rcpp'. Mainly as a programming example for teaching purposes.

Version: 0.3-4
Imports: Rcpp
LinkingTo: Rcpp
Suggests: stats, knitr, dplyr, tidyr, ggplot2, rbenchmark, rmarkdown
Published: 2021-04-17
DOI: 10.32614/CRAN.package.JacobiEigen
Author: Bill Venables
Maintainer: Bill Venables <Bill.Venables at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: JacobiEigen results

Documentation:

Reference manual: JacobiEigen.pdf
Vignettes: The Classical Jacobi Algorithm

Downloads:

Package source: JacobiEigen_0.3-4.tar.gz
Windows binaries: r-devel: JacobiEigen_0.3-4.zip, r-release: JacobiEigen_0.3-4.zip, r-oldrel: JacobiEigen_0.3-4.zip
macOS binaries: r-release (arm64): JacobiEigen_0.3-4.tgz, r-oldrel (arm64): JacobiEigen_0.3-4.tgz, r-release (x86_64): JacobiEigen_0.3-4.tgz, r-oldrel (x86_64): JacobiEigen_0.3-4.tgz
Old sources: JacobiEigen archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=JacobiEigen 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.