The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 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_0.1.1.tar.gz
Windows binaries: r-devel: GDSARM_0.1.1.zip, r-release: GDSARM_0.1.1.zip, r-oldrel: GDSARM_0.1.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GDSARM to link to this page.

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.
Health stats visible at Monitor.