Package: BeSS 2.0.4

Canhong Wen

BeSS: Best Subset Selection in Linear, Logistic and CoxPH Models

An implementation of best subset selection in generalized linear model and Cox proportional hazard model via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2020) <doi:10.18637/jss.v094.i04>. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.

Authors:Canhong Wen [aut, cre], Aijun Zhang [aut], Shijie Quan [aut], Xueqin Wang [aut]

BeSS_2.0.4.tar.gz
BeSS_2.0.4.tar.gz(r-4.5-noble)BeSS_2.0.4.tar.gz(r-4.4-noble)
BeSS_2.0.4.tgz(r-4.4-emscripten)BeSS_2.0.4.tgz(r-4.3-emscripten)
BeSS.pdf |BeSS.html✨
BeSS/json (API)

# Install 'BeSS' in R:
install.packages('BeSS', repos = 'https://cloud.r-project.org')
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • SAheart - Risk factors associated with heart disease
  • gravier - Breast cancer data set
  • prostate - Factors associated with prostate specific antigen

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.15 score 2 stars 674 downloads 7 mentions 6 exports 10 dependencies

Last updated 1 years agofrom:0d63e28b1d. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-linux-x86_64OKMar 07 2025
R-4.4-linux-x86_64OKMar 07 2025

Exports:aicbessbess.onebicebicgen.data

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival

Citation

To cite BeSS in publications use:

Wen C, Zhang A, Quan S, Wang X (2020). “BeSS: An R Package for Best Subset Selection in Linear, Logistic and Cox Proportional Hazards Models.” Journal of Statistical Software, 94(4), 1–24. doi:10.18637/jss.v094.i04.

Corresponding BibTeX entry: 

  @Article{,
    title = {{BeSS}: An {R} Package for Best Subset Selection in
      Linear, Logistic and {C}ox Proportional Hazards Models},
    author = {Canhong Wen and Aijun Zhang and Shijie Quan and Xueqin
      Wang},
    journal = {Journal of Statistical Software},
    year = {2020},
    volume = {94},
    number = {4},
    pages = {1--24},
    doi = {10.18637/jss.v094.i04},
  }