smurf-package: smurf: Sparse Multi-Type Regularized Feature Modeling
In smurf: Sparse Multi-Type Regularized Feature Modeling
smurf-package R Documentation
smurf: Sparse Multi-Type Regularized Feature Modeling
Description
Implementation of the SMuRF algorithm of Devriendt et al. (2021) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.insmatheco.2020.11.010")} to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.
Author(s)
Maintainer: Tom Reynkens tomreynkens.r@gmail.com (ORCID)
Authors:
Sander Devriendt sander.devriendt@kuleuven.be
Katrien Antonio
See Also
Useful links:
smurf documentation built on April 4, 2025, 12:03 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| smurf-package | R Documentation |
smurf: Sparse Multi-Type Regularized Feature Modeling
Description
Implementation of the SMuRF algorithm of Devriendt et al. (2021) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.insmatheco.2020.11.010")} to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.
Author(s)
Maintainer: Tom Reynkens tomreynkens.r@gmail.com (ORCID)
Authors:
Sander Devriendt sander.devriendt@kuleuven.be
Katrien Antonio
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.