Constructs screening designs for experiments involving continuous and categorical factors with multiple levels. The package implements methods for constructing mixed-level screening designs, involving factors with more than two levels. It also evaluates the statistical performance of screening designs throughdev power to identify active effects and Type I error rates. The package implements three methods proposed by Jones, B., Lekivetz, R., Majumdar, D. and Nachtsheim, C. (2025) <doi:10.1080/00401706.2024.2362149> for generating efficient screening designs involving three-level continuous and two-level categorical factors for even run sizes. It also includes Paley Type I and Type II constructions for conference matrices and pseudo conference matrices obtained using the coordinate exchange algorithm by Jones, B. and Nachtsheim, C. J. (2011) <doi:10.1080/00224065.2011.11917841> which are used in the development of these screening designs.
Package details |
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| Author | Vyshna I C [aut, cre], Cini Varghese [aut, ctb], Safeela Nasrin [aut], Boyina Devi Priyanka [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb] |
| Maintainer | Vyshna I C <vyshnaic@gmail.com> |
| License | GPL-3 |
| Version | 0.2.0 |
| Package repository | View on CRAN |
| Installation |
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