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 ORCID iD [cre, aut], John Stufken ORCID iD [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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