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 the 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: 0.1.1
Depends: R (≥ 2.10)
Imports: lpSolve
Suggests: testthat (≥ 3.0.0)
Published: 2022-07-13
DOI: 10.32614/CRAN.package.GDSARM
Author: Rakhi Singh ORCID iD [cre, aut], John Stufken ORCID iD [aut]
Maintainer: Rakhi Singh <agrakhi at>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: GDSARM results


Reference manual: GDSARM.pdf


Package source: GDSARM_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GDSARM_0.1.1.tgz, r-oldrel (arm64): GDSARM_0.1.1.tgz, r-release (x86_64): GDSARM_0.1.1.tgz, r-oldrel (x86_64): GDSARM_0.1.1.tgz
Old sources: GDSARM archive


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