gnu: Add r-sparsearray.
* gnu/packages/bioconductor.scm (r-sparsearray): New variable. Change-Id: Ibc5b5a518206d492dd5b912294da3967881b5ccd
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@ -20973,6 +20973,43 @@ cell-specific biases, assignment of cell cycle phase, and detection of highly
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variable and significantly correlated genes.")
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(license license:gpl3)))
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(define-public r-sparsearray
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(package
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(name "r-sparsearray")
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(version "1.2.0")
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(source
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(origin
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(method url-fetch)
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(uri (bioconductor-uri "SparseArray" version))
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(sha256
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(base32 "0a1xg8vkjybgdr09bk2z4i82m06qnw2nhbzviyijadxiwvz6pgsz"))))
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(properties `((upstream-name . "SparseArray")))
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(build-system r-build-system)
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(propagated-inputs (list r-biocgenerics
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r-iranges
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r-matrix
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r-matrixgenerics
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r-matrixstats
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r-s4arrays
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r-s4vectors
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r-xvector))
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(native-inputs (list r-knitr))
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(home-page "https://bioconductor.org/packages/SparseArray")
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(synopsis
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"Efficient in-memory representation of multidimensional sparse arrays")
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(description
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"The @code{SparseArray} package is an infrastructure package that
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provides an array-like container for efficient in-memory representation of
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multidimensional sparse data in R. The package defines the @code{SparseArray}
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virtual class and two concrete subclasses: @code{COO_SparseArray} and
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@code{SVT_SparseArray}. Each subclass uses its own internal representation of
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the nonzero multidimensional data, the \"COO layout\" and the \"SVT layout\",
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respectively. @code{SVT_SparseArray} objects mimic as much as possible the
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behavior of ordinary matrix and array objects in base R. In particular, they
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suppport most of the \"standard matrix and array API\" defined in base R and
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in the @code{matrixStats} package from CRAN.")
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(license license:artistic2.0)))
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(define-public r-sparsematrixstats
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(package
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(name "r-sparsematrixstats")
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