Package: GDSARM 0.1.0

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.

Authors:Rakhi Singh [cre, aut], John Stufken [aut]

GDSARM_0.1.0.tar.gz
GDSARM_0.1.0.zip(r-4.5)GDSARM_0.1.0.zip(r-4.4)GDSARM_0.1.0.zip(r-4.3)
GDSARM_0.1.0.tgz(r-4.4-any)GDSARM_0.1.0.tgz(r-4.3-any)
GDSARM_0.1.0.tar.gz(r-4.5-noble)GDSARM_0.1.0.tar.gz(r-4.4-noble)
GDSARM_0.1.0.tgz(r-4.4-emscripten)GDSARM_0.1.0.tgz(r-4.3-emscripten)
GDSARM.pdf |GDSARM.html
GDSARM/json (API)
NEWS

# Install 'GDSARM' in R:
install.packages('GDSARM', repos = c('https://agrakhi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/agrakhi/gdsarm/issues

Datasets:

On CRAN:

2.70 score 125 downloads 3 exports 1 dependencies

Last updated 2 years agofrom:2ead85b945. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winNOTENov 08 2024
R-4.5-linuxNOTENov 08 2024
R-4.4-winNOTENov 08 2024
R-4.4-macNOTENov 08 2024
R-4.3-winNOTENov 08 2024
R-4.3-macNOTENov 08 2024

Exports:dantzig.deltaGDS_givencolsGDSARM

Dependencies:lpSolve