Package: smurf 1.1.6
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:
smurf_1.1.6.tar.gz
smurf_1.1.6.tar.gz(r-4.5-noble)smurf_1.1.6.tar.gz(r-4.4-noble)
smurf_1.1.6.tgz(r-4.4-emscripten)smurf_1.1.6.tgz(r-4.3-emscripten)
smurf.pdf |smurf.html✨
smurf/json (API)
NEWS
# Install 'smurf' in R: |
install.packages('smurf', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://gitlab.com/treynkens/smurf
Last updated 5 days agofrom:74b05c7d6c. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 02 2024 |
R-4.5-linux-x86_64 | OK | Dec 02 2024 |
Exports:coef_reestcoefficients_reestdeviance_reestfitted_reestglmsmurfglmsmurf.controlglmsmurf.fitpplot_lambdaplot_reestpredict_reestresid_reestresiduals_reest
Dependencies:catdatacodetoolsforeachglmnetiteratorslatticeMASSMatrixmgcvnlmeRColorBrewerRcppRcppArmadilloRcppEigenshapesurvival