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:	1.1.6
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:	2024-12-02
DOI:	10.32614/CRAN.package.smurf
Author:	Tom Reynkens [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.pdf
Vignettes:	Introduction to the smurf package (source, R code)

Downloads:

Package source:	smurf_1.1.6.tar.gz
Windows binaries:	r-devel: smurf_1.1.6.zip, r-release: smurf_1.1.6.zip, r-oldrel: smurf_1.1.6.zip
macOS binaries:	r-release (arm64): smurf_1.1.6.tgz, r-oldrel (arm64): smurf_1.1.6.tgz, r-release (x86_64): smurf_1.1.6.tgz, r-oldrel (x86_64): smurf_1.1.6.tgz
Old sources:	smurf archive

Reverse dependencies:

Reverse imports:

airpart

Linking:

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