pimi wrote 7 years ago
(address . guix-patches@gnu.org)(name . pimi)(address . madalinionel.patrascu@mdc-berlin.de)
20180903122758.15121-1-madalinionel.patrascu@mdc-berlin.de
gnu/packages/cran.scm (r-abe): New variable.
---
gnu/packages/cran.scm | 28 ++++++++++++++++++++++++++++
1 file changed, 28 insertions(+)
Toggle diff (38 lines)
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 016d1b1e4..dde5fb317 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -4988,3 +4988,31 @@ maximum cycle number. The @code{r-abcoptim} implements the Artificial bee
colony optimization algorithm @url{http://mf.erciyes.edu.tr/abc/pub/tr06_2005.pdf}.
This version is a work-in-progress and is written in R code.")
(license license:expat)))
+
+(define-public r-abe
+ (package
+ (name "r-abe")
+ (version "3.0.1")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "abe" version))
+ (sha256
+ (base32
+ "1f19h3xzzmjhvwc1rrb8z0rai3ip03y4gdi2gg9bfr5sg2nfklk6"))))
+ (build-system r-build-system)
+ (home-page "https://cran.r-project.org/web/packages/abe/")
+ (synopsis "Augmented backward elimination")
+ (description
+ "Statistical models are simple mathematical rules derived from empirical data describing
+the association between an outcome and several explanatory variables. In a
+typical modeling situation statistical analysis often involves a large number of
+potential explanatory variables and frequently only partial subject-matter
+knowledge is available. Therefore, selecting the most suitable variables for a
+model in an objective and practical manner is usually a non-trivial task. This
+package performs augmented backward elimination and checks the stability of the
+obtained model. Augmented backward elimination combines significance or
+information based criteria with the change in estimate to either select the
+optimal model for prediction purposes or to serve as a tool to obtain a
+practically sound, highly interpretable model.")
+ (license license:gpl2+)))
--
2.17.1