RSpectra (0.160)
Solvers for LargeScale Eigenvalue and SVD Problems.
https://github.com/yixuan/RSpectra
http://cran.rproject.org/web/packages/RSpectra
R interface to the 'Spectra' library for largescale 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.
Maintainer:
Yixuan Qiu
Author(s): 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)
License: MPL (>= 2)
Uses: Matrix, Rcpp, knitr, rmarkdown, prettydoc
Reverse depends: fad, Gmedian, onlinePCA, SmartSVA
Reverse suggests: butcher, dimRed, ggmix, hydra, MFKnockoffs, recipes, Rssa, spaMM, spatialreg, spdep
Released 6 months ago.
5 previous versions
 RSpectra_0.150. Released 12 months ago.
 RSpectra_0.140. Released about 1 year ago.
 RSpectra_0.131. Released about 2 years ago.
 RSpectra_0.120. Released almost 4 years ago.
 RSpectra_0.110. Released about 4 years ago.
Ratings
Overall: 

Documentation: 

Log in to vote.
Reviews
No one has written a review of RSpectra yet. Want to be the first? Write one now.
Related packages: Brobdingnag, Matrix, R.matlab, Rserve, Ryacas, SparseM, akima, combinat, elliptic, gmp, gsl, magic, matlab, matrixcalc, numDeriv, onion, orthopolynom, partitions, polynom, signal … (20 best matches, based on common tags.)
Search for RSpectra on google, google scholar, rhelp, rdevel.
Visit RSpectra on R Graphical Manual.