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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: 1.1.5
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: 2023-03-22
DOI: 10.32614/CRAN.package.smurf
Author: Tom Reynkens ORCID iD [aut, cre], Sander Devriendt [aut], Katrien Antonio [aut]
Maintainer: Tom Reynkens <tomreynkens at hotmail.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.pdf
Vignettes: Introduction to the smurf package

Downloads:

Package source: smurf_1.1.5.tar.gz
Windows binaries: r-devel: smurf_1.1.5.zip, r-release: smurf_1.1.5.zip, r-oldrel: smurf_1.1.5.zip
macOS binaries: r-release (arm64): smurf_1.1.5.tgz, r-oldrel (arm64): smurf_1.1.5.tgz, r-release (x86_64): smurf_1.1.5.tgz, r-oldrel (x86_64): smurf_1.1.5.tgz
Old sources: smurf archive

Reverse dependencies:

Reverse imports: airpart

Linking:

Please use the canonical form https://CRAN.R-project.org/package=smurf to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.