R interface to the 'Spectra' library <https://spectralib.org/> 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.
Package details 


Maintainer  
License  MPL (>= 2) 
Version  0.131 
URL  https://github.com/yixuan/RSpectra 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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