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-4.7)GDSARM_0.1.0.zip(r-4.6)GDSARM_0.1.0.zip(r-4.5)
GDSARM_0.1.0.tgz(r-4.6-any)GDSARM_0.1.0.tgz(r-4.5-any)
GDSARM_0.1.0.tar.gz(r-4.7-any)GDSARM_0.1.0.tar.gz(r-4.6-any)
GDSARM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

2.70 score 193 downloads 3 exports 1 dependencies

Last updated from:2ead85b945. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE104
source / vignettesOK158
linux-release-x86_64NOTE110
macos-release-arm64NOTE119
macos-oldrel-arm64NOTE83
windows-develNOTE76
windows-releaseNOTE82
windows-oldrelNOTE125
wasm-releaseOK91

Exports:dantzig.deltaGDS_givencolsGDSARM

Dependencies:lpSolve