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
DOI: 10.32614/CRAN.package.geigen
Author: Berend Hasselman [cre, aut], Lapack authors [aut, cph]
Maintainer: Berend Hasselman <bhh at>
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


Reference manual: geigen.pdf


Package source: geigen_2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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, decp, HDTSA, influenceAUC, itdr, iTensor, loadings, PEIP, quadmatrix, rMultiNet
Reverse suggests: multiblock


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