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smurf  

Sparse Multi-Type Regularized Feature Modeling
View on CRAN: Click here


Download and install smurf package within the R console
Install from CRAN:
install.packages("smurf")

Install from Github:
library("remotes")
install_github("cran/smurf")

Install by package version:
library("remotes")
install_version("smurf", "1.1.7")



Attach the package and use:
library("smurf")
Maintained by
Tom Reynkens
[Scholar Profile | Author Map]
First Published: 2018-12-09
Latest Update: 2023-03-22
Description:
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.
How to cite:
Tom Reynkens (2018). smurf: Sparse Multi-Type Regularized Feature Modeling. R package version 1.1.7, https://cran.r-project.org/web/packages/smurf. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0.0 (2018-12-09 17:00), 1.0.1 (2019-05-11 13:50), 1.0.2 (2019-11-25 13:40), 1.0.3 (2020-02-07 11:30), 1.0.4 (2020-02-12 16:10), 1.0.5 (2020-03-19 15:30), 1.0.6 (2020-05-17 03:30), 1.0.7 (2020-11-24 11:00), 1.1.0 (2021-03-12 21:00), 1.1.1 (2021-03-28 06:00), 1.1.2 (2021-04-18 04:10), 1.1.3 (2022-05-06 13:20), 1.1.4 (2023-01-30 09:40), 1.1.5 (2023-03-22 18:00), 1.1.6 (2024-12-02 10:20)
Other packages that cited smurf R package
View smurf citation profile
Other R packages that smurf depends, imports, suggests or enhances
Complete documentation for smurf
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