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 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.html , 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, decp, HDTSA, influenceAUC, itdr, iTensor, loadings, multivarious, PEIP, quadmatrix, rMultiNet, wideRhino
Reverse suggests:	guidedPLS, multiblock

Linking:

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