Mădălin Ionel Patrașcu wrote 3 years ago
(address . guix-patches@gnu.org)
20220503065311.9192-3-madalinionel.patrascu@mdc-berlin.de
* gnu/packages/cran.scm (r-smurf): New variable.
---
gnu/packages/cran.scm | 42 ++++++++++++++++++++++++++++++++++++++++++
1 file changed, 42 insertions(+)
Toggle diff (55 lines)
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 63e2b71cd3..099bfb8002 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -5907,6 +5907,48 @@ (define-public r-sm
and density estimation")
(license license:gpl2+)))
+(define-public r-smurf
+ (package
+ (name "r-smurf")
+ (version "1.1.2")
+ (source (origin
+ (method url-fetch)
+ (uri (cran-uri "smurf" version))
+ (sha256
+ (base32
+ "00q54pg42anilhcshhjvv277mkszbpzpkf1g7srs7cjd5skjvsaf"))))
+ (properties `((upstream-name . "smurf")))
+ (build-system r-build-system)
+ (propagated-inputs
+ (list r-catdata
+ r-glmnet
+ r-mass
+ r-matrix
+ r-mgcv
+ r-rcolorbrewer
+ r-rcpp
+ r-rcpparmadillo
+ r-speedglm))
+ (native-inputs (list r-knitr))
+ (home-page "https://gitlab.com/TReynkens/smurf")
+ (synopsis "Sparse multi-type regularized feature modeling")
+ (description
+ "The @code{smurf} package contains the implementation of the @dfn{Sparse
+Multi-type Regularized Feature} (SMuRF) modeling algorithm to fit
+@dfn{generalized linear models} (GLMs) with multiple types of predictors via
+regularized maximum likelihood. Next to the fitting procedure, following
+functionality is available:
+
+@itemize @bullet
+@item
+Selection of the regularization tuning parameter lambda using three different
+approaches: in-sample, out-of-sample or using cross-validation.
+@item
+S3 methods to handle the fitted object including visualization of the coefficients
+and a model summary.
+@end itemize")
+ (license license:gpl2+)))
+
(define-public r-venndiagram
(package
(name "r-venndiagram")
--
2.36.0