Package: SparseArray
Title: High-performance sparse data representation and manipulation in
        R
Description: 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.
biocViews: Infrastructure, DataRepresentation
URL: https://bioconductor.org/packages/SparseArray
BugReports: https://github.com/Bioconductor/SparseArray/issues
Version: 1.10.2
License: Artistic-2.0
Encoding: UTF-8
Authors@R: c(
	person("Hervé", "Pagès", role=c("aut", "cre"),
		email="hpages.on.github@gmail.com",
		comment=c(ORCID="0009-0002-8272-4522")),
	person("Vince", "Carey", role="fnd",
		email="stvjc@channing.harvard.edu",
		comment=c(ORCID="0000-0003-4046-0063")),
	person("Rafael A.", "Irizarry", role="fnd",
		email="rafa@ds.harvard.edu",
		comment=c(ORCID="0000-0002-3944-4309")),
	person("Jacques", "Serizay", role="ctb",
		comment=c(ORCID="0000-0002-4295-0624")))
Depends: R (>= 4.3.0), methods, Matrix, BiocGenerics (>= 0.43.1),
        MatrixGenerics (>= 1.11.1), S4Vectors (>= 0.43.2), S4Arrays (>=
        1.9.3)
Imports: utils, stats, matrixStats, IRanges, XVector
LinkingTo: S4Vectors, IRanges, XVector
Suggests: HDF5Array, ExperimentHub, testthat, knitr, rmarkdown,
        BiocStyle
VignetteBuilder: knitr
Collate: utils.R options.R OPBufTree.R thread-control.R
        sparseMatrix-utils.R is_nonzero.R SparseArray-class.R
        COO_SparseArray-class.R SVT_SparseArray-class.R
        extract_sparse_array.R read_block_as_sparse.R
        SparseArray-dim-tuning.R SparseArray-aperm.R
        SparseArray-subsetting.R SparseArray-subassignment.R
        SparseArray-abind.R SparseArray-summarization.R
        SparseArray-Arith-methods.R SparseArray-Compare-methods.R
        SparseArray-Logic-methods.R SparseArray-Math-methods.R
        SparseArray-Complex-methods.R SparseArray-misc-methods.R
        SparseArray-matrixStats.R rowsum-methods.R SparseMatrix-mult.R
        randomSparseArray.R readSparseCSV.R is_nonna.R NaArray-class.R
        NaArray-aperm.R NaArray-subsetting.R NaArray-subassignment.R
        NaArray-abind.R NaArray-summarization.R NaArray-Arith-methods.R
        NaArray-Compare-methods.R NaArray-Logic-methods.R
        NaArray-Math-methods.R NaArray-misc-methods.R
        NaArray-matrixStats.R zzz.R
Config/pak/sysreqs: zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-11-17 14:37:02 UTC
RemoteUrl: https://github.com/bioc/SparseArray
RemoteRef: RELEASE_3_22
RemoteSha: a40a9ab04d63a9751a66f3d9fa848d3961a07714
NeedsCompilation: yes
Packaged: 2025-11-18 10:09:16 UTC; root
Author: Hervé Pagès [aut, cre] (ORCID: <https://orcid.org/0009-0002-8272-4522>),
  Vince Carey [fnd] (ORCID: <https://orcid.org/0000-0003-4046-0063>),
  Rafael A. Irizarry [fnd] (ORCID:
    <https://orcid.org/0000-0002-3944-4309>),
  Jacques Serizay [ctb] (ORCID: <https://orcid.org/0000-0002-4295-0624>)
Maintainer: Hervé Pagès <hpages.on.github@gmail.com>
Built: R 4.5.2; x86_64-w64-mingw32; 2025-11-18 10:11:13 UTC; windows
Archs: x64
