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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 (≥ 0.3.4.0.0)
Published: 2024-04-28
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
CRAN checks: EigenR results

Documentation:

Reference manual: EigenR.pdf

Downloads:

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, HypergeoMat

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EigenR to link to this page.

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.
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