bigsparser: Sparse Matrix Format with Data on Disk

Provides 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: 0.5.0
Depends: R (≥ 3.1)
Imports: Rcpp, bigassertr, methods
LinkingTo: Rcpp, RcppEigen, rmio (≥ 0.3)
Suggests: Matrix, testthat (≥ 2.1.0)
Published: 2021-07-09
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_0.5.0.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bigsparser_0.5.0.tgz, r-release (x86_64): bigsparser_0.5.0.tgz, r-oldrel: bigsparser_0.5.0.tgz
Old sources: bigsparser archive

Reverse dependencies:

Reverse imports: bigsnpr
Reverse linking to: bigsnpr


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