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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: 2021-03-02
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.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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.