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# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class RRspectra(RPackage):
"""Solvers for Large-Scale Eigenvalue and SVD Problems.
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."""
cran = "RSpectra"
version("0.16-1", sha256="cba5d3403d6a7d0e27abf6279fbfea6e0d0fe36b28c688bbadb8eafb3841329a")
version("0.16-0", sha256="aaf1cfc9ffe3a4c6684247899924e1c18306971dfef4bae1dc596a2fb42a64a9")
version("0.15-0", sha256="1ad5698201007044a0420cb10b7c48e94312a8a1d22b9d946d5de1c6743969a9")
depends_on("r@3.0.2:", type=("build", "run"))
depends_on("r-matrix@1.1-0:", type=("build", "run"))
depends_on("r-rcpp@0.11.5:", type=("build", "run"))
depends_on("r-rcppeigen@0.3.3.3.0:", type=("build", "run"))
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