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@ -8927,3 +8927,25 @@ few eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues,
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which is usually more efficient than @code{eigen()} if k << n.")
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;; MPL 2 or later.
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(license license:mpl2.0)))
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(define-public r-vbsr
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(package
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(name "r-vbsr")
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(version "0.0.5")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "vbsr" version))
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(sha256
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(base32
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"1avskbxxyinjjdga4rnghcfvd4sypv4m39ysfaij5avvmi89bx3b"))))
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(build-system r-build-system)
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(home-page "https://cran.r-project.org/web/packages/vbsr")
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(synopsis "Variational Bayes spike regression regularized linear models")
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(description
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"This package provides an efficient algorithm for solving ultra-sparse
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regularized regression models using a variational Bayes algorithm with a spike
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prior. The algorithm is solved on a path, with coordinate updates, and is
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capable of generating very sparse models. Very general model
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diagnostics for controlling type-1 errors are also provided.")
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(license license:gpl2)))
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