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SparseArray

This is thereleased version of SparseArray; for the devel version, seeSparseArray.

High-performance sparse data representation and manipulation in R

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DOI: 10.18129/B9.bioc.SparseArray


Bioconductor version: Release (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 iD ORCID: 0009-0002-8272-4522, Vince Carey [fnd]ORCID iD ORCID: 0000-0003-4046-0063, Rafael A. Irizarry [fnd]ORCID iD ORCID: 0000-0002-3944-4309, Jacques Serizay [ctb]ORCID iD 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")BiocManager::install("SparseArray")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SparseArray")
SparseArray objectsHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDataRepresentation,Infrastructure,Software
Version1.10.7
In Bioconductor sinceBioC 3.17 (R-4.3) (2.5 years)
LicenseArtistic-2.0
DependsR (>= 4.3.0), methods,Matrix,BiocGenerics(>= 0.43.1),MatrixGenerics(>= 1.11.1),S4Vectors(>= 0.43.2),S4Arrays(>= 1.10.1)
Importsutils, stats,matrixStats,IRanges,XVector
System Requirements
URLhttps://bioconductor.org/packages/SparseArray
Bug Reportshttps://github.com/Bioconductor/SparseArray/issues
See More
SuggestsHDF5Array,ExperimentHub,testthat,knitr,rmarkdown,BiocStyle
Linking ToS4Vectors,IRanges,XVector
Enhances
Depends On MeDelayedArray,DelayedRandomArray,h5mread,HDF5Array,TileDBArray
Imports Mealabaster.matrix,batchelor,beachmat,DelayedMatrixStats,DelayedTensor,dreamlet,DropletUtils,glmGamPoi,GSVA,SCArray,scater,scone,scuttle,TSCAN,zellkonverter,scRNAseq,IDLFM
Suggests MeBiocGenerics,MatrixGenerics,S4Arrays,SummarizedExperiment
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageSparseArray_1.10.7.tar.gz
Windows Binary (x86_64) SparseArray_1.10.2.zip
macOS Binary (x86_64)SparseArray_1.10.6.tgz
macOS Binary (arm64)SparseArray_1.10.6.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SparseArray
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SparseArray
Bioc Package Browserhttps://code.bioconductor.org/browse/SparseArray/
Package Short Urlhttps://bioconductor.org/packages/SparseArray/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.22Source Archive

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