Construction of Screening Designs for Mixed Level Continuous and Categorical Factors R package SCCDdesign version 0.2.0 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. Software Imports: pracma, AlgDesign, leaps, stats Vyshna I C <vyshnaic@gmail.com> Comprehensive R Archive Network (CRAN) 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] GPL-3 2026-09-21 application/tgz https://CRAN.R-project.org/package=SCCDdesign doi:10.32614/CRAN.package.SCCDdesign