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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 |
Reference manual: | L2E.pdf |
Vignettes: |
Introduction to the L2E Package |
Package source: | L2E_2.0.tar.gz |
Windows binaries: | r-devel: L2E_2.0.zip, r-release: L2E_2.0.zip, r-oldrel: L2E_2.0.zip |
macOS binaries: | r-release (arm64): L2E_2.0.tgz, r-oldrel (arm64): L2E_2.0.tgz, r-release (x86_64): L2E_2.0.tgz, r-oldrel (x86_64): L2E_2.0.tgz |
Old sources: | L2E archive |
Please use the canonical form https://CRAN.R-project.org/package=L2E to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.