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: 0.7.1
Depends: R (≥ 3.1)
Imports: Rcpp, bigassertr, methods, Matrix, rmio (≥ 0.4)
LinkingTo: Rcpp, RcppEigen, rmio
Suggests: testthat (≥ 2.1.0)
Published: 2024-05-31
DOI: 10.32614/CRAN.package.bigsparser
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21 at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: bigsparser results


Reference manual: bigsparser.pdf


Package source: bigsparser_0.7.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bigsparser_0.7.1.tgz, r-oldrel (arm64): bigsparser_0.7.1.tgz, r-release (x86_64): bigsparser_0.7.1.tgz, r-oldrel (x86_64): bigsparser_0.7.1.tgz
Old sources: bigsparser archive

Reverse dependencies:

Reverse imports: bigsnpr, PRSPGx
Reverse linking to: bigsnpr


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