Broken Adaptive Ridge Regression with Cyclops R package BrokenAdaptiveRidge version 1.0.2 Approximates best-subset selection (L0) regression with an iteratively adaptive Ridge (L2) penalty for large-scale models. This package uses Cyclops for an efficient implementation and the iterative method is described in Kawaguchi et al (2020) <doi:10.1002/sim.8438> and Li et al (2021) <doi:10.1016/j.jspi.2020.12.001>. Software Depends: R (>= 3.2.2), Cyclops (>= 3.0.0) Imports: ParallelLogger, bit64 Suggests: testthat, survival, knitr, rmarkdown Marc A. Suchard <msuchard@ucla.edu> Comprehensive R Archive Network (CRAN) Marc A. Suchard [aut, cre], Eric Kawaguchi [aut], Ning Li [aut], Gang Li [aut], Observational Health Data Sciences and Informatics [cph] Apache License 2.0 2025-12-22 application/tgz https://CRAN.R-project.org/package=BrokenAdaptiveRidge doi:10.32614/CRAN.package.BrokenAdaptiveRidge