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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:0.7.3
Depends:R (≥ 3.1)
Imports:Rcpp,bigassertr, methods,Matrix,rmio (≥ 0.4)
LinkingTo:Rcpp,RcppEigen,rmio
Suggests:testthat (≥ 2.1.0)
Published:2024-09-06
DOI:10.32614/CRAN.package.bigsparser
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.html ,bigsparser.pdf

Downloads:

Package source: bigsparser_0.7.3.tar.gz
Windows binaries: r-devel:bigsparser_0.7.3.zip, r-release:bigsparser_0.7.3.zip, r-oldrel:bigsparser_0.7.3.zip
macOS binaries: r-release (arm64):bigsparser_0.7.3.tgz, r-oldrel (arm64):bigsparser_0.7.3.tgz, r-release (x86_64):bigsparser_0.7.3.tgz, r-oldrel (x86_64):bigsparser_0.7.3.tgz
Old sources: bigsparser archive

Reverse dependencies:

Reverse imports:bigsnpr
Reverse linking to:bigsnpr

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bigsparserto link to this page.


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