SLIC: LIC for Distributed Skewed Regression
This comprehensive toolkit for skewed regression is designated as "SLIC" (The LIC for Distributed Skewed Regression Analysis). It is predicated on the assumption that the error term follows a skewed distribution, such as the Skew-Normal, Skew-t, or Skew-Laplace. The methodology and theoretical foundation of the package are described in Guo G.(2020) <doi:10.1080/02664763.2022.2053949>.
| Version: | 0.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, LaplacesDemon, sn |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-07-25 |
| DOI: | 10.32614/CRAN.package.SLIC |
| Author: | Guangbao Guo 
[aut, cre],
Hengxin Gao [aut] |
| Maintainer: | Guangbao Guo <ggb11111111 at 163.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | SLIC results |
Documentation:
| Reference manual: | SLIC.html , SLIC.pdf |
Downloads:
| Package source: | SLIC_0.3.tar.gz |
| Windows binaries: | r-devel: SLIC_0.3.zip, r-release: SLIC_0.3.zip, r-oldrel: SLIC_0.3.zip |
| macOS binaries: | r-release (arm64): SLIC_0.3.tgz, r-oldrel (arm64): SLIC_0.3.tgz, r-release (x86_64): SLIC_0.3.tgz, r-oldrel (x86_64): SLIC_0.3.tgz |
Linking:
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