R interface to the 'Spectra' library <https://spectralib.org/> for large-scale eigenvalue and SVD problems. It is typically used to compute a few eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues, which is usually more efficient than eigen() if k << n. This package provides the 'eigs()' function that does the similar job as in 'Matlab', 'Octave', 'Python SciPy' and 'Julia'. It also provides the 'svds()' function to calculate the largest k singular values and corresponding singular vectors of a real matrix. The matrix to be computed on can be dense, sparse, or in the form of an operator defined by the user.
| Version: | 0.16-2 | 
| Depends: | R (≥ 3.0.2) | 
| Imports: | Matrix (≥ 1.1-0), Rcpp (≥ 0.11.5) | 
| LinkingTo: | Rcpp, RcppEigen (≥ 0.3.3.3.0) | 
| Suggests: | knitr, rmarkdown, prettydoc | 
| Published: | 2024-07-18 | 
| DOI: | 10.32614/CRAN.package.RSpectra | 
| Author: | Yixuan Qiu [aut, cre], Jiali Mei [aut] (Function interface of matrix operation), Gael Guennebaud [ctb] (Eigenvalue solvers from the 'Eigen' library), Jitse Niesen [ctb] (Eigenvalue solvers from the 'Eigen' library) | 
| Maintainer: | Yixuan Qiu <yixuan.qiu at cos.name> | 
| BugReports: | https://github.com/yixuan/RSpectra/issues | 
| License: | MPL (≥ 2) | 
| URL: | https://github.com/yixuan/RSpectra | 
| NeedsCompilation: | yes | 
| Materials: | README, NEWS | 
| In views: | NumericalMathematics | 
| CRAN checks: | RSpectra results | 
| Reference manual: | RSpectra.html , RSpectra.pdf | 
| Vignettes: | Large-Scale Eigenvalue Decomposition and SVD with RSpectra (source, R code) | 
| Package source: | RSpectra_0.16-2.tar.gz | 
| Windows binaries: | r-devel: RSpectra_0.16-2.zip, r-release: RSpectra_0.16-2.zip, r-oldrel: RSpectra_0.16-2.zip | 
| macOS binaries: | r-release (arm64): RSpectra_0.16-2.tgz, r-oldrel (arm64): RSpectra_0.16-2.tgz, r-release (x86_64): RSpectra_0.16-2.tgz, r-oldrel (x86_64): RSpectra_0.16-2.tgz | 
| Old sources: | RSpectra archive | 
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