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.

Package details

AuthorFlorian Privé [aut, cre]
MaintainerFlorian Privé <florian.prive.21@gmail.com>
LicenseGPL-3
Version0.6.1
URL https://github.com/privefl/bigsparser
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bigsparser")

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bigsparser documentation built on June 7, 2022, 9:06 a.m.