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: | 0.6.1 |
Depends: | R (≥ 3.1) |
Imports: | Rcpp, bigassertr, methods, Matrix, rmio (≥ 0.4) |
LinkingTo: | Rcpp, RcppEigen, rmio |
Suggests: | testthat (≥ 2.1.0) |
Published: | 2022-06-07 |
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_0.6.1.tar.gz |
Windows binaries: | r-devel: bigsparser_0.6.1.zip, r-release: bigsparser_0.6.1.zip, r-oldrel: bigsparser_0.6.1.zip |
macOS binaries: | r-release (arm64): bigsparser_0.6.1.tgz, r-oldrel (arm64): bigsparser_0.6.1.tgz, r-release (x86_64): bigsparser_0.6.1.tgz, r-oldrel (x86_64): bigsparser_0.6.1.tgz |
Old sources: | bigsparser archive |
Reverse imports: | bigsnpr, PRSPGx |
Reverse linking to: | bigsnpr |
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