doi:10.1016/j.insmatheco.2020.11.010> to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.">

smurf: Sparse Multi-Type Regularized Feature Modeling (original) (raw)

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 [aut, cre], Sander Devriendt [aut], Katrien Antonio [aut]

Maintainer:

Tom Reynkens

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:

CRAN checks: