Represent and Use Sparse + Low Rank Matrices [R package sparseLRMatrix version 0.1.0]

Alex Hayes

sparseLRMatrix: Represent and Use Sparse + Low Rank Matrices

Provides an S4 class for representing and interacting with sparse plus rank matrices. At the moment the implementation is quite spare, but the plan is eventually subclass Matrix objects.

Version: 0.1.0

Depends: Matrix, methods

Imports: RSpectra

Suggests: covr, testthat (≥ 3.0.0)

Published: 2021年03月02日

DOI: 10.32614/CRAN.package.sparseLRMatrix

Author: Alex Hayes ORCID iD [aut, cre, cph]

Maintainer: Alex Hayes <alexpghayes at gmail.com>

BugReports: https://github.com/RoheLab/sparseLRMatrix/issues

License: MIT + file LICENSE

URL: https://rohelab.github.io/sparseLRMatrix/, https://github.com/RoheLab/sparseLRMatrix

NeedsCompilation: no

Materials: README

CRAN checks: sparseLRMatrix results

Documentation:

Reference manual: sparseLRMatrix.html , sparseLRMatrix.pdf

Downloads:

Package source: sparseLRMatrix_0.1.0.tar.gz

Windows binaries: r-devel: sparseLRMatrix_0.1.0.zip, r-release: sparseLRMatrix_0.1.0.zip, r-oldrel: sparseLRMatrix_0.1.0.zip

macOS binaries: r-release (arm64): sparseLRMatrix_0.1.0.tgz, r-oldrel (arm64): sparseLRMatrix_0.1.0.tgz, r-release (x86_64): sparseLRMatrix_0.1.0.tgz, r-oldrel (x86_64): sparseLRMatrix_0.1.0.tgz

Reverse dependencies:

Reverse imports: invertiforms

Linking:

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