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geigen: Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack

Functions to compute generalized eigenvalues and eigenvectors, the generalized Schur decomposition and the generalized Singular Value Decomposition of a matrix pair, using Lapack routines.

Version: 2.3
Depends: R (≥ 3.5.0)
Published: 2019-05-30
Author: Berend Hasselman [cre, aut], Lapack authors [aut, cph]
Maintainer: Berend Hasselman <bhh at xs4all.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see inst/COPYRIGHTS for the files in src/.
geigen copyright details
NeedsCompilation: yes
Materials: NEWS
In views: NumericalMathematics
CRAN checks: geigen results

Documentation:

Reference manual: geigen.pdf

Downloads:

Package source: geigen_2.3.tar.gz
Windows binaries: r-devel: geigen_2.3.zip, r-release: geigen_2.3.zip, r-oldrel: geigen_2.3.zip
macOS binaries: r-release (arm64): geigen_2.3.tgz, r-oldrel (arm64): geigen_2.3.tgz, r-release (x86_64): geigen_2.3.tgz, r-oldrel (x86_64): geigen_2.3.tgz
Old sources: geigen archive

Reverse dependencies:

Reverse depends: conicfit
Reverse imports: CovTools, dbcsp, influenceAUC, itdr, iTensor, loadings, mlmts, PEIP, quadmatrix, rMultiNet
Reverse suggests: multiblock

Linking:

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