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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

cpp

2.56 score 2 stars 26 scripts 484 downloads 7 mentions 6 exports 10 dependencies

Last updated 11 months agofrom:0d63e28b1d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-linux-x86_64OKDec 07 2024

Exports:aicbessbess.onebicebicgen.data

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival