EigenR: Complex Matrix Algebra with 'Eigen' (original) (raw)
Matrix algebra using the 'Eigen' C++ library: determinant, rank, inverse, pseudo-inverse, kernel and image, QR decomposition, Cholesky decomposition, Schur decomposition, Hessenberg decomposition, linear least-squares problems. Also provides matrix functions such as exponential, logarithm, power, sine and cosine. Complex matrices are supported.
| Version: | 1.3.0 |
|---|---|
| Depends: | R (≥ 3.0.2) |
| Imports: | Rcpp (≥ 1.0.5) |
| LinkingTo: | Rcpp, RcppEigen (≥ 0.3.4.0.0) |
| Published: | 2024-04-28 |
| DOI: | 10.32614/CRAN.package.EigenR |
| Author: | Stéphane Laurent |
| Maintainer: | Stéphane Laurent <laurent_step at outlook.fr> |
| BugReports: | https://github.com/stla/EigenR/issues |
| License: | GPL-3 |
| URL: | https://github.com/stla/EigenR |
| NeedsCompilation: | yes |
| SystemRequirements: | C++ 17 |
| Materials: | README, NEWS |
| In views: | NumericalMathematics |
| CRAN checks: | EigenR results |
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