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@ -16827,3 +16827,36 @@ Components. The Lasso solution paths can be computed by the same function.")
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"This package performs sparse linear discriminant analysis for Gaussians
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and mixture of Gaussian models.")
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(license license:gpl2+)))
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(define-public r-accsda
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(package
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(name "r-accsda")
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(version "1.0.0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "accSDA" version))
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(sha256
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(base32
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"0sgxy5y8kkc1n35657kifwfjsba7y5m1vbr7rkk5lmbpkzahqm61"))))
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(properties `((upstream-name . "accSDA")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-ggplot2" ,r-ggplot2)
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("r-ggthemes" ,r-ggthemes)
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("r-gridextra" ,r-gridextra)
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("r-mass" ,r-mass)
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("r-rarpack" ,r-rarpack)
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("r-sparselda" ,r-sparselda)))
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(home-page "https://github.com/gumeo/accSDA/wiki")
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(synopsis "Accelerated sparse discriminant analysis")
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(description
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"This package provides an implementation of sparse linear discriminant
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analysis, which is a supervised classification method for multiple classes.
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Various novel optimization approaches to this problem are implemented
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including @dfn{alternating direction method of multipliers} (ADMM),
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@dfn{proximal gradient} (PG) and @dfn{accelerated proximal gradient} (APG).
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Functions for performing cross validation are also supplied along with basic
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prediction and plotting functions. @dfn{Sparse zero variance
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discriminant} (SZVD) analysis is also included in the package.")
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(license license:gpl2+)))
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