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authorRicardo Wurmus <rekado@elephly.net>2023-07-19 13:09:32 +0200
committerRicardo Wurmus <rekado@elephly.net>2023-07-19 13:09:32 +0200
commit1b48d723bd70b90b8526697debb1805994cbe431 (patch)
tree31b4a619b1e5b4af68271f27320d4d121fe71812 /gnu/packages/cran.scm
parentc31eea21ddb48bc66635b2681017e7e5e055fd59 (diff)
downloadguix-1b48d723bd70b90b8526697debb1805994cbe431.tar.gz
gnu: Add r-logistf.
* gnu/packages/cran.scm (r-logistf): New variable.
Diffstat (limited to 'gnu/packages/cran.scm')
-rw-r--r--gnu/packages/cran.scm31
1 files changed, 31 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 589bcd8f30..4229fc2cea 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -19443,6 +19443,37 @@ hierarchic loggers, multiple handlers per logger, level based filtering, space
 handling in messages and custom formatting.")
     (license license:gpl3)))
 
+(define-public r-logistf
+  (package
+    (name "r-logistf")
+    (version "1.25.0")
+    (source (origin
+              (method url-fetch)
+              (uri (cran-uri "logistf" version))
+              (sha256
+               (base32
+                "0w78jsynw5jh3l9r3ssjs8rza6givgrxzwnb5jwazcm8637d6gix"))))
+    (properties `((upstream-name . "logistf")))
+    (build-system r-build-system)
+    (propagated-inputs (list r-formula-tools r-matrix r-mgcv r-mice))
+    (home-page
+     "https://cemsiis.meduniwien.ac.at/en/kb/science-research\
+/software/statistical-software/firth-correction/")
+    (synopsis "Firth's bias-reduced logistic regression")
+    (description
+     "Fit a logistic regression model using Firth's bias reduction method,
+equivalent to penalization of the log-likelihood by the Jeffreys prior.
+Confidence intervals for regression coefficients can be computed by penalized
+profile likelihood.  Firth's method was proposed as ideal solution to the
+problem of separation in logistic regression, see Heinze and Schemper (2002)
+<doi:10.1002/sim.1047>.  If needed, the bias reduction can be turned off such
+that ordinary maximum likelihood logistic regression is obtained.  Two new
+modifications of Firth's method, FLIC and FLAC, lead to unbiased predictions
+and are now available in the package as well, see Puhr et al (2017)
+<doi:10.1002/sim.7273>.")
+    ;; Any version of the GPL
+    (license license:gpl3+)))
+
 (define-public r-longdat
   (package
     (name "r-longdat")