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For now, only a few features are implemented:
convert a dgCMatrix or a dsCMatrix to an SFBM, a Sparse Filebacked Big Matrix
grow an SFBM using $add_columns() (similar to ‘cbind’ or ‘bdiag’)
compute the product and crossproduct of an SFBM with a vector
solve Ax=b, where A is a symmetric SFBM and b is a vector
access the subset of an SFBM as a dgCMatrix (matrix accessor, since v0.6.1)
A new compact format is available (since v0.5), which is useful when non-zero values in columns are contiguous (or almost).
# CRAN
install.packages("bigsparser")
# latest GitHub version
remotes::install_github("privefl/bigsparser")These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.