Package: smurf 1.1.7

Tom Reynkens

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.

Authors:Tom Reynkens [aut, cre], Sander Devriendt [aut], Katrien Antonio [aut]

smurf_1.1.7.tar.gz
smurf_1.1.7.tar.gz(r-4.5-noble)smurf_1.1.7.tar.gz(r-4.4-noble)
smurf_1.1.7.tgz(r-4.4-emscripten)smurf_1.1.7.tgz(r-4.3-emscripten)
smurf.pdf |smurf.html✨
smurf/json (API)
NEWS

# Install 'smurf' in R:
install.packages('smurf', repos = 'https://cloud.r-project.org')

Bug tracker:https://gitlab.com/treynkens/smurf

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:r-smurf-1.1.7(2025-03-25)

openblascpp

2.78 score 1 packages 519 downloads 13 exports 16 dependencies

Last updated 1 months agofrom:e8db9fc077. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-linux-x86_64OKMar 25 2025
R-4.4-linux-x86_64OKMar 25 2025

Exports:coef_reestcoefficients_reestdeviance_reestfitted_reestglmsmurfglmsmurf.controlglmsmurf.fitpplot_lambdaplot_reestpredict_reestresid_reestresiduals_reest

Dependencies:catdatacodetoolsforeachglmnetiteratorslatticeMASSMatrixmgcvnlmeRColorBrewerRcppRcppArmadilloRcppEigenshapesurvival

Introduction to the smurf package

| Tom Reynkens, Sander Devriendt and Katrien Antonio | LRisk, Faculty of Economics and Business, KU Leuven

Rendered fromsmurf.Rmdusingknitr::rmarkdownon Mar 25 2025.

Last update: 2021-03-12
Started: 2018-12-09

Citation

To cite package ‘smurf’ in publications use:

Reynkens T, Devriendt S, Antonio K (2025). smurf: Sparse Multi-Type Regularized Feature Modeling. R package version 1.1.7, https://CRAN.R-project.org/package=smurf.

Corresponding BibTeX entry: 

  @Manual{,
    title = {smurf: Sparse Multi-Type Regularized Feature Modeling},
    author = {Tom Reynkens and Sander Devriendt and Katrien Antonio},
    year = {2025},
    note = {R package version 1.1.7},
    url = {https://CRAN.R-project.org/package=smurf},
  }