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@ -8975,3 +8975,25 @@ diagnostics for controlling type-1 errors are also provided.")
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including Dantzig Selector, LAD Lasso, SQRT Lasso, Lq Lasso for estimating
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including Dantzig Selector, LAD Lasso, SQRT Lasso, Lq Lasso for estimating
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high dimensional sparse linear models.")
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high dimensional sparse linear models.")
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(license license:gpl2)))
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(license license:gpl2)))
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(define-public r-lassopv
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(package
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(name "r-lassopv")
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(version "0.2.0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "lassopv" version))
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(sha256
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(base32
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"0yawnjw063jypk3riy9xab9cmliv6c9dnabi18670khd3gzb2r9z"))))
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(build-system r-build-system)
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(propagated-inputs `(("r-lars" ,r-lars)))
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(home-page "https://github.com/lingfeiwang/lassopv")
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(synopsis "Non-parametric p-value estimation for predictors in Lasso")
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(description
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"This package enables you to estimate the p-values for predictors x
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against target variable y in Lasso regression, using the regularization
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strength when each predictor enters the active set of regularization path for
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the first time as the statistic.")
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(license license:gpl3)))
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