GDSARM: Gauss - Dantzig Selector: Aggregation over Random Models
The method aims to identify important factors in screening experiments by aggregation over random models as studied in Singh and Stufken (2022) <doi:10.48550/arXiv.2205.13497>. This package provides functions to run Gauss-Dantzig selector on screening experiments when interactions may be affecting the response. Currently, all functions require each factor to be at two-levels coded as +1 and -1.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | lpSolve |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2022-06-23 |
| Author: | Rakhi Singh  [cre,
aut],
John Stufken
[aut] |
| Maintainer: | Rakhi Singh <agrakhi at gmail.com> |
| BugReports: | https://github.com/agrakhi/GDSARM/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/agrakhi/GDSARM |
| NeedsCompilation: | yes |
| CRAN checks: | GDSARM results |
Documentation:
| Reference manual: | GDSARM.pdf |
Downloads:
| Package source: | GDSARM_0.1.0.tar.gz |
| Windows binaries: | r-devel: GDSARM_0.1.0.zip, r-release: not available, r-oldrel: GDSARM_0.1.0.zip |
| macOS binaries: | r-release (arm64): GDSARM_0.1.0.tgz, r-oldrel (arm64): GDSARM_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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