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' of R package 'Matrix'.
| Version: | 0.3.1 |
| Depends: | R (≥ 3.1) |
| Imports: | Rcpp, bigassertr, methods |
| LinkingTo: | Rcpp, RcppEigen, rmio (≥ 0.2) |
| Suggests: | Matrix, testthat (≥ 2.1.0) |
| Published: | 2020-07-26 |
| 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 |
| Reference manual: | bigsparser.pdf |
| Package source: | bigsparser_0.3.1.tar.gz |
| Windows binaries: | r-devel: bigsparser_0.3.1.zip, r-release: bigsparser_0.3.1.zip, r-oldrel: bigsparser_0.3.1.zip |
| macOS binaries: | r-release: bigsparser_0.3.1.tgz, r-oldrel: bigsparser_0.3.1.tgz |
| Old sources: | bigsparser archive |
| Reverse imports: | bigsnpr |
| Reverse linking to: | bigsnpr |
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