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.
Version: 2.0 Depends: R (≥ 3.5.0), osqp Imports: isotone, cobs, ncvreg, Matrix, signal, robustbase Suggests: knitr, rmarkdown, ggplot2, latex2exp Published: 2022-09-08 DOI: 10.32614/CRAN.package.L2E Author: Xiaoqian Liu [aut, ctb], Jocelyn Chi [aut, cre], Lisa Lin [ctb], Kenneth Lange [aut], Eric Chi [aut] Maintainer: Jocelyn Chi <jocetchi at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Citation: L2E citation info Materials: README CRAN checks: L2E results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=L2E to link to this page.
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