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.
|Author||Rakhi Singh [cre, aut] (<https://orcid.org/0000-0003-3469-295X>), John Stufken [aut] (<https://orcid.org/0000-0001-9026-3610>)|
|Maintainer||Rakhi Singh <email@example.com>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.