This is the development version of SparseArray; for the stable release version, see SparseArray.
High-performance sparse data representation and manipulation in RBioconductor version: Development (3.22)
The SparseArray package provides array-like containers for efficient in-memory representation of multidimensional sparse data in R (arrays and matrices). The package defines the SparseArray virtual class and two concrete subclasses: COO_SparseArray and SVT_SparseArray. Each subclass uses its own internal representation of the nonzero multidimensional data: the "COO layout" and the "SVT layout", respectively. SVT_SparseArray objects mimic as much as possible the behavior of ordinary matrix and array objects in base R. In particular, they suppport most of the "standard matrix and array API" defined in base R and in the matrixStats package from CRAN.
Author: Hervé Pagès [aut, cre] ORCID: 0009-0002-8272-4522 , Vince Carey [fnd] ORCID: 0000-0003-4046-0063 , Rafael A. Irizarry [fnd] ORCID: 0000-0002-3944-4309 , Jacques Serizay [ctb] ORCID: 0000-0002-4295-0624
Maintainer: Hervé Pagès <hpages.on.github at gmail.com>
Citation (from within R, entercitation("SparseArray")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SparseArray")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SparseArray")Follow Installation instructions to use this package in your R session.
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