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:
BeSS_2.0.4.tar.gz
BeSS_2.0.4.tar.gz(r-4.7-arm64)BeSS_2.0.4.tar.gz(r-4.7-x86_64)BeSS_2.0.4.tar.gz(r-4.6-arm64)BeSS_2.0.4.tar.gz(r-4.6-x86_64)
BeSS_2.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BeSS/json (API)
| # Install 'BeSS' in R: |
| install.packages('BeSS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:0d63e28b1d. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 159 | ||
| linux-devel-x86_64 | OK | 173 | ||
| source / vignettes | OK | 159 | ||
| linux-release-arm64 | OK | 163 | ||
| linux-release-x86_64 | OK | 174 | ||
| wasm-release | OK | 151 |
Exports:aicbessbess.onebicebicgen.data
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
