bigsparser: Sparse Matrix Format with Data on Disk

Provide a sparse matrix format with data stored on disk, to be used in both R and C++. This is intended for more efficient use of sparse data in C++ and also when parallelizing, since data on disk does not need copying. Only a limited number of features will be implemented. For now, conversion can be performed from a 'dgCMatrix' or a 'dsCMatrix' from R package 'Matrix'. A new compact format is also now available.

Version: 0.6.1
Depends: R (≥ 3.1)
Imports: Rcpp, bigassertr, methods, Matrix, rmio (≥ 0.4)
LinkingTo: Rcpp, RcppEigen, rmio
Suggests: testthat (≥ 2.1.0)
Published: 2022-06-07
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21 at gmail.com>
BugReports: https://github.com/privefl/bigsparser/issues
License: GPL-3
URL: https://github.com/privefl/bigsparser
NeedsCompilation: yes
Materials: README
CRAN checks: bigsparser results

Documentation:

Reference manual: bigsparser.pdf

Downloads:

Package source: bigsparser_0.6.1.tar.gz
Windows binaries: r-devel: bigsparser_0.6.1.zip, r-release: bigsparser_0.6.1.zip, r-oldrel: bigsparser_0.6.1.zip
macOS binaries: r-release (arm64): bigsparser_0.6.1.tgz, r-oldrel (arm64): bigsparser_0.6.1.tgz, r-release (x86_64): bigsparser_0.6.1.tgz
Old sources: bigsparser archive

Reverse dependencies:

Reverse imports: bigsnpr, PRSPGx
Reverse linking to: bigsnpr

Linking:

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