gnu: Add r-detectseparation.
* gnu/packages/cran.scm (r-detectseparation): New variable. Change-Id: I6c795719c22a6ff929785e799f749ce053e83fbemaster
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@ -4253,6 +4253,38 @@ categorical and continuous (time series) data, otherwise known as dependent
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mixture models.")
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(license license:gpl2+)))
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(define-public r-detectseparation
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(package
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(name "r-detectseparation")
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(version "0.3")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "detectseparation" version))
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(sha256
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(base32 "05z3p1z5mhmdj5qdknz1b8f6fwbghzckl88pv79v59cfwpbvgmz8"))))
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(properties `((upstream-name . "detectseparation")))
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(build-system r-build-system)
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(propagated-inputs (list r-lpsolveapi r-pkgload r-roi r-roi-plugin-lpsolve))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/ikosmidis/detectseparation")
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(synopsis
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"Detect and check for separation and infinite maximum likelihood estimates")
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(description
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"This package provides pre-fit and post-fit methods for detecting separation
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and infinite maximum likelihood estimates in generalized linear models with
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categorical responses. The pre-fit methods apply on binomial-response generalized
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liner models such as logit, probit and cloglog regression, and can be directly
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supplied as fitting methods to the @code{glm()} function. The post-fit methods
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apply to models with categorical responses, including binomial-response
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generalized linear models and multinomial-response models, such as baseline
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category logits and adjacent category logits models; for example, the models
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implemented in the brglm2 package. The post-fit methods successively refit the
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model with increasing number of iteratively reweighted least squares iterations,
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and monitor the ratio of the estimated standard error for each parameter to what
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it has been in the first iteration.")
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(license license:gpl3)))
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(define-public r-readxl
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(package
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(name "r-readxl")
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