From aee8cc0a0d25fa8efccff825f1768d97fedadbbd Mon Sep 17 00:00:00 2001 From: Ricardo Wurmus Date: Tue, 16 Jun 2020 09:16:51 +0200 Subject: gnu: Add r-brglm. * gnu/packages/cran.scm (r-brglm): New variable. --- gnu/packages/cran.scm | 31 +++++++++++++++++++++++++++++++ 1 file changed, 31 insertions(+) (limited to 'gnu') diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 7c750956c4..4afe9d489c 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -6657,6 +6657,37 @@ on the methods that are implemented can be found in Kosmidis (2008) @url{https://www.r-project.org/doc/Rnews/Rnews_2008-2.pdf}.") (license license:gpl2+))) +(define-public r-brglm + (package + (name "r-brglm") + (version "0.6.2") + (source + (origin + (method url-fetch) + (uri (cran-uri "brglm" version)) + (sha256 + (base32 + "0c9ngscc6zlfm90fqyggnj04qfkhp5qgf5q3wnfpxwyc8cm47by2")))) + (properties `((upstream-name . "brglm"))) + (build-system r-build-system) + (propagated-inputs + `(("r-profilemodel" ,r-profilemodel))) + (home-page "https://github.com/ikosmidis/brglm") + (synopsis "Bias reduction in binomial-response generalized linear models") + (description + "Fit generalized linear models with binomial responses using either an +adjusted-score approach to bias reduction or maximum penalized likelihood +where penalization is by Jeffreys invariant prior. These procedures return +estimates with improved frequentist properties (bias, mean squared error) that +are always finite even in cases where the maximum likelihood estimates are +infinite (data separation). Fitting takes place by fitting generalized linear +models on iteratively updated pseudo-data. The interface is essentially the +same as @code{glm}. More flexibility is provided by the fact that custom +pseudo-data representations can be specified and used for model fitting. +Functions are provided for the construction of confidence intervals for the +reduced-bias estimates.") + (license license:gpl2+))) + (define-public r-abn (package (name "r-abn") -- cgit v1.2.3