bigsparser: Sparse Matrix Format with Data on Disk (original) (raw)
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 |
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