Package: RSpectra Type: Package Title: Solvers for Large-Scale Eigenvalue and SVD Problems Version: 0.16-1 Date: 2022-04-24 Authors@R: c( person("Yixuan", "Qiu", , "yixuan.qiu@cos.name", c("aut", "cre")), person("Jiali", "Mei", , "vermouthmjl@gmail.com", "aut", comment = "Function interface of matrix operation"), person("Gael", "Guennebaud", , "gael.guennebaud@inria.fr", "ctb", comment = "Eigenvalue solvers from the 'Eigen' library"), person("Jitse", "Niesen", , "jitse@maths.leeds.ac.uk", "ctb", comment = "Eigenvalue solvers from the 'Eigen' library") ) Description: R interface to the 'Spectra' library 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. License: MPL (>= 2) URL: https://github.com/yixuan/RSpectra BugReports: https://github.com/yixuan/RSpectra/issues Depends: R (>= 3.0.2) Imports: Matrix (>= 1.1-0), Rcpp (>= 0.11.5) Suggests: knitr, rmarkdown, prettydoc LinkingTo: Rcpp, RcppEigen (>= 0.3.3.3.0) VignetteBuilder: knitr, rmarkdown RoxygenNote: 7.1.2 NeedsCompilation: yes Packaged: 2022-04-24 15:24:01 UTC; dell 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 Repository: CRAN Date/Publication: 2022-04-24 19:50:02 UTC Built: R 4.2.3; x86_64-pc-linux-gnu; 2024-03-06 19:38:16 UTC; unix