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@ -9761,6 +9761,33 @@ Models\" (Hastie and Tibshirani, 1990).")
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a library of prediction algorithms to be used in the super learner.")
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a library of prediction algorithms to be used in the super learner.")
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(license license:gpl3)))
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(license license:gpl3)))
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(define-public r-drtmle
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(package
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(name "r-drtmle")
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(version "1.1.0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "drtmle" version))
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(sha256
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(base32
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"08a6k0nrg6mqdslwjc71583x52vnax87nbfalk98zczwvrrdwvxa"))))
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(properties `((upstream-name . "drtmle")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-future-apply" ,r-future-apply)
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("r-np" ,r-np)
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("r-superlearner" ,r-superlearner)))
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(native-inputs
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`(("r-knitr" ,r-knitr)))
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(home-page "https://github.com/benkeser/drtmle")
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(synopsis "Doubly-robust nonparametric estimation and inference")
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(description
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"This package implements targeted minimum loss-based estimators of
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counterfactual means and causal effects that are doubly-robust with respect
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both to consistency and asymptotic normality.")
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(license license:expat)))
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(define-public r-mosaiccore
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(define-public r-mosaiccore
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(package
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(package
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(name "r-mosaiccore")
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(name "r-mosaiccore")
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