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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 |
Reference manual: | EigenR.pdf |
Package source: | EigenR_1.3.0.tar.gz |
Windows binaries: | r-devel: EigenR_1.3.0.zip, r-release: EigenR_1.3.0.zip, r-oldrel: EigenR_1.3.0.zip |
macOS binaries: | r-release (arm64): EigenR_1.3.0.tgz, r-oldrel (arm64): EigenR_1.3.0.tgz, r-release (x86_64): EigenR_1.3.0.tgz, r-oldrel (x86_64): EigenR_1.3.0.tgz |
Old sources: | EigenR archive |
Reverse imports: | HypergeoMat |
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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.