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bioconductor-sparsearray

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Efficient in-memory representation of multidimensional sparse arrays

Installation

To install this package, run one of the following:

Conda
$conda install dnachun::bioconductor-sparsearray

Usage Tracking

1.6.0
1.2.0
2 / 8 versions selected
Total downloads: 0

Description

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: COOSparseArray and SVTSparseArray. 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.

About

Summary

Efficient in-memory representation of multidimensional sparse arrays

Information Last Updated

May 16, 2025 at 00:43

License

Artistic-2.0

Total Downloads

15

Platforms

macOS arm64 Version: 1.6.0