Robust Structured Regression via the L2 Criterion R package L2E version 2.0 An implementation of a computational framework for performing robust structured regression with the L2 criterion from Chi and Chi (2021+). Improvements using the majorization-minimization (MM) principle from Liu, Chi, and Lange (2022+) added in Version 2.0. Software Depends: R (>= 3.5.0), osqp Imports: isotone, cobs, ncvreg, Matrix, signal, robustbase Suggests: knitr, rmarkdown, ggplot2, latex2exp Jocelyn Chi <jocetchi@gmail.com> Comprehensive R Archive Network (CRAN) Xiaoqian Liu [aut, ctb], Jocelyn Chi [aut, cre], Lisa Lin [ctb], Kenneth Lange [aut], Eric Chi [aut] GPL (>= 2) 2022-09-08 application/tgz https://CRAN.R-project.org/package=L2E doi:10.32614/CRAN.package.L2E