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smurf: Sparse Multi-Type Regularized Feature Modeling

Implementation of the SMuRF algorithm of Devriendt et al. (2021) <doi:10.1016/j.insmatheco.2020.11.010> to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.

Version:1.1.8
Depends:R (≥ 3.4)
Imports:catdata,glmnet (≥ 4.0), graphics,MASS,Matrix, methods,mgcv, parallel,RColorBrewer,Rcpp (≥ 0.12.12), stats
LinkingTo:Rcpp,RcppArmadillo (≥ 0.8.300.1.0)
Suggests:bookdown,knitr,rmarkdown,roxygen2 (≥ 6.0.0),testthat
Published:2025-09-19
DOI:10.32614/CRAN.package.smurf
Author:Tom ReynkensORCID iD [aut, cre], Sander Devriendt [aut], Katrien Antonio [aut]
Maintainer:Tom Reynkens <tomreynkens.r at gmail.com>
BugReports:https://gitlab.com/TReynkens/smurf/-/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://gitlab.com/TReynkens/smurf
NeedsCompilation:yes
Materials:NEWS
CRAN checks:smurf results

Documentation:

Reference manual:smurf.html ,smurf.pdf
Vignettes:Introduction to the smurf package (source,R code)

Downloads:

Package source: smurf_1.1.8.tar.gz
Windows binaries: r-devel:smurf_1.1.8.zip, r-release:smurf_1.1.8.zip, r-oldrel:smurf_1.1.8.zip
macOS binaries: r-release (arm64):smurf_1.1.8.tgz, r-oldrel (arm64):smurf_1.1.8.tgz, r-release (x86_64):smurf_1.1.8.tgz, r-oldrel (x86_64):smurf_1.1.8.tgz
Old sources: smurf archive

Reverse dependencies:

Reverse imports:airpart

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=smurfto link to this page.


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