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@ -6657,6 +6657,37 @@ on the methods that are implemented can be found in Kosmidis (2008)
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@url{https://www.r-project.org/doc/Rnews/Rnews_2008-2.pdf}.")
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@url{https://www.r-project.org/doc/Rnews/Rnews_2008-2.pdf}.")
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(license license:gpl2+)))
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(license license:gpl2+)))
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(define-public r-brglm
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(package
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(name "r-brglm")
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(version "0.6.2")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "brglm" version))
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(sha256
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(base32
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"0c9ngscc6zlfm90fqyggnj04qfkhp5qgf5q3wnfpxwyc8cm47by2"))))
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(properties `((upstream-name . "brglm")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-profilemodel" ,r-profilemodel)))
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(home-page "https://github.com/ikosmidis/brglm")
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(synopsis "Bias reduction in binomial-response generalized linear models")
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(description
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"Fit generalized linear models with binomial responses using either an
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adjusted-score approach to bias reduction or maximum penalized likelihood
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where penalization is by Jeffreys invariant prior. These procedures return
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estimates with improved frequentist properties (bias, mean squared error) that
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are always finite even in cases where the maximum likelihood estimates are
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infinite (data separation). Fitting takes place by fitting generalized linear
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models on iteratively updated pseudo-data. The interface is essentially the
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same as @code{glm}. More flexibility is provided by the fact that custom
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pseudo-data representations can be specified and used for model fitting.
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Functions are provided for the construction of confidence intervals for the
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reduced-bias estimates.")
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(license license:gpl2+)))
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(define-public r-abn
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(define-public r-abn
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(package
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(package
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(name "r-abn")
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(name "r-abn")
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