bigsparser: sparse matrix format with data on disk

Features

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).

Installation

# CRAN
install.packages("bigsparser")

# latest GitHub version
# remotes::install_github("privefl/bigsparser")
install.packages("bigsparser", repos = c('https://privefl.r-universe.dev', 'https://cloud.r-project.org'))