Type: Package Package: smurf Title: Sparse Multi-Type Regularized Feature Modeling Version: 1.1.8 Date: 2025-09-19 Authors@R: c( person("Tom", "Reynkens", email = "tomreynkens.r@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5516-5107")), person("Sander", "Devriendt", email = "sander.devriendt@kuleuven.be", role = "aut"), person("Katrien", "Antonio", role = "aut") ) Description: Implementation of the SMuRF algorithm of Devriendt et al. (2021) to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood. URL: https://gitlab.com/TReynkens/smurf License: GPL (>= 2) BugReports: https://gitlab.com/TReynkens/smurf/-/issues Depends: R (>= 3.4) Imports: catdata, glmnet (>= 4.0), graphics, MASS, Matrix, methods, mgcv, parallel, RColorBrewer, Rcpp (>= 0.12.12), stats Suggests: bookdown, knitr, rmarkdown, roxygen2 (>= 6.0.0), testthat LinkingTo: Rcpp, RcppArmadillo (>= 0.8.300.1.0) VignetteBuilder: knitr ByteCompile: yes Encoding: UTF-8 NeedsCompilation: yes RoxygenNote: 7.3.3 Packaged: 2026-06-23 17:00:19 UTC; root Author: Tom Reynkens [aut, cre] (ORCID: ), Sander Devriendt [aut], Katrien Antonio [aut] Maintainer: Tom Reynkens Repository: https://cran.r-universe.dev Date/Publication: 2025-09-19 19:20:02 UTC RemoteUrl: https://github.com/cran/smurf RemoteRef: HEAD RemoteSha: 03e1bf021ba3a1828e5e17f0d2e0c602fbe76370