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| -rw-r--r-- | gnu/packages/cran.scm | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 4b141fe9b0..9bdeba3c28 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -6486,6 +6486,47 @@ University Press. It provides smoothing methods for nonparametric regression 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 +@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") |