EigenR: Complex Matrix Algebra with 'Eigen'

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 (≥
Published: 2024-04-28
DOI: 10.32614/CRAN.package.EigenR
Author: St├ęphane Laurent
Maintainer: St├ęphane 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
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 dependencies:

Reverse imports: gfilogisreg


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