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

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'))

Peer review:

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

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

openblascpp

2.91 score 1 packages 27 scripts 334 downloads 13 exports 16 dependencies

Last updated 5 days agofrom:74b05c7d6c. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-linux-x86_64OKDec 02 2024

Exports:coef_reestcoefficients_reestdeviance_reestfitted_reestglmsmurfglmsmurf.controlglmsmurf.fitpplot_lambdaplot_reestpredict_reestresid_reestresiduals_reest

Dependencies:catdatacodetoolsforeachglmnetiteratorslatticeMASSMatrixmgcvnlmeRColorBrewerRcppRcppArmadilloRcppEigenshapesurvival

Introduction to the smurf package

Rendered fromsmurf.Rmdusingknitr::rmarkdownon Dec 02 2024.

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