Package: bigsparser
Title: Sparse Matrix Format with Data on Disk
Version: 0.7.3
Authors@R: 
    person(given = "Florian", family = "Privé", role = c("aut", "cre"),
           email = "florian.prive.21@gmail.com")
Description: 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.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
URL: https://github.com/privefl/bigsparser
BugReports: https://github.com/privefl/bigsparser/issues
Depends: R (>= 3.1)
LinkingTo: Rcpp, RcppEigen, rmio
Imports: Rcpp, bigassertr, methods, Matrix, rmio (>= 0.4)
Suggests: testthat (>= 2.1.0)
NeedsCompilation: yes
Packaged: 2024-09-06 08:24:21 UTC; au639593
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-06 15:40:06 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 07:24:22 UTC; unix
Archs: bigsparser.so.dSYM
