'ForLion' Algorithm to Find D-Optimal Designs for Experiments R package ForLion version 0.4.0 Designing experimental plans that involve both discrete and continuous factors with general parametric statistical models using the 'ForLion' algorithm and 'EW ForLion' algorithm. The algorithms searches for locally optimal designs and EW optimal designs under the D-criterion. See Huang, Y., Li, K., Mandal, A., & Yang, J., (2024) <doi:10.1007/s11222-024-10465-x> and Lin, S., Huang, Y., & Yang, J. (2025) <doi:10.48550/arXiv.2505.00629>. Software Imports: psych, stats, cubature Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Siting Lin <slin95@uic.edu> Comprehensive R Archive Network (CRAN) Yifei Huang [aut], Siting Lin [aut, cre], Jie Yang [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=ForLion/LICENSE) 2026-02-15 application/tgz https://CRAN.R-project.org/package=ForLion doi:10.32614/CRAN.package.ForLion