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-4.5-any)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'))

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

Datasets:

On CRAN:

Conda-Forge:

2.70 score 155 downloads 3 exports 1 dependencies

Last updated 2 years agofrom:2ead85b945. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 06 2025
R-4.5-winNOTEFeb 06 2025
R-4.5-macNOTEFeb 06 2025
R-4.5-linuxNOTEFeb 06 2025
R-4.4-winNOTEFeb 06 2025
R-4.4-macNOTEFeb 06 2025
R-4.3-winNOTEFeb 06 2025
R-4.3-macNOTEFeb 06 2025

Exports:dantzig.deltaGDS_givencolsGDSARM

Dependencies:lpSolve