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Implementation of Robust Regression tailored to deal with Asymmetric noise Distribution, which was originally proposed by Takeuchi & Bengio & Kanamori (2002) <doi:10.1162/08997660260293300>. In addition, this implementation is extended as introducing potential feature regularization by LASSO etc.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10), quantreg |
| Published: | 2019-10-07 |
| DOI: | 10.32614/CRAN.package.rrat |
| Author: | Yi He and Yuelin Zhao |
| Maintainer: | Yi He <yi.he at stats.oxon.org> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | rrat results |
| Reference manual: | rrat.pdf |
| Package source: | rrat_1.0.0.tar.gz |
| Windows binaries: | r-devel: rrat_1.0.0.zip, r-release: rrat_1.0.0.zip, r-oldrel: rrat_1.0.0.zip |
| macOS binaries: | r-release (arm64): rrat_1.0.0.tgz, r-oldrel (arm64): rrat_1.0.0.tgz, r-release (x86_64): rrat_1.0.0.tgz, r-oldrel (x86_64): rrat_1.0.0.tgz |
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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.