ForLion: '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 will search for locally optimal designs and EW optimal designs under the D-criterion. Reference: Huang, Y., Li, K., Mandal, A., & Yang, J., (2024)<doi:10.1007/s11222-024-10465-x>.

Package details

AuthorYifei Huang [aut], Siting Lin [aut, cre], Jie Yang [aut]
MaintainerSiting Lin <slin95@uic.edu>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ForLion")

Try the ForLion package in your browser

Any scripts or data that you put into this service are public.

ForLion documentation built on April 11, 2025, 5:38 p.m.