geigen: Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack (original) (raw)
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 |
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| 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 |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: | see inst/COPYRIGHTS for the files in src/. geigen copyright details |
| NeedsCompilation: | yes |
| Materials: | |
| In views: | NumericalMathematics |
| CRAN checks: | geigen results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | conicfit |
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| Reverse imports: | CovTools, dbcsp, decp, HDTSA, influenceAUC, itdr, iTensor, loadings, mlmts, PEIP, quadmatrix, rMultiNet, wideRhino |
| Reverse suggests: | guidedPLS, multiblock |
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