r-sparsearray
Efficient in-memory representation of multidimensional sparse arrays
The SparseArray package is an infrastructure package that provides an array-like container for efficient in-memory representation of multidimensional sparse data in R. 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 support most of the "standard matrix and array API" defined in base R and in the matrixStats package from CRAN.
- Versions: 1.8.0
- Website: https://bioconductor.org/packages/SparseArray
- Licenses: Artistic License 2.0
- Package source: gnu/packages/bioconductor.scm
- Builds: See build status
- Issues: See known issues
Installation
Install the latest version of r-sparsearray as follows:
guix install r-sparsearray
Or install a particular version:
guix install r-sparsearray@1.8.0
You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the guix shell documentation for more information.
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