'ForLion' Algorithm to Find D-Optimal Designs for Experiments

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) and Lin, S., Huang, Y., & Yang, J. (2025) .


ForLion

ForLion R package

Reference manual

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install.packages("ForLion")

0.4.0 by Siting Lin, 8 months ago


Browse source code at https://github.com/cran/ForLion


Authors: Yifei Huang [aut] , Siting Lin [aut, cre] , Jie Yang [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports psych, stats, cubature

Suggests knitr, rmarkdown, testthat


See at CRAN