ForLion-package: ForLion: 'ForLion' Algorithms to Find Optimal Experimental...
In ForLion: 'ForLion' Algorithms to Find Optimal Experimental Designs with Mixed Factors
ForLion-package R Documentation
ForLion: 'ForLion' Algorithms to Find Optimal Experimental Designs with Mixed Factors
Description
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)\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s11222-024-10465-x")}. Lin, S., Huang, Y., & Yang, J. (2025) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2505.00629")}.
Author(s)
Maintainer: Siting Lin slin95@uic.edu
Authors:
Yifei Huang
Jie Yang
ForLion documentation built on June 10, 2025, 5:13 p.m.
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| ForLion-package | R Documentation |
ForLion: 'ForLion' Algorithms to Find Optimal Experimental Designs with Mixed Factors
Description
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)\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s11222-024-10465-x")}. Lin, S., Huang, Y., & Yang, J. (2025) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2505.00629")}.
Author(s)
Maintainer: Siting Lin slin95@uic.edu
Authors:
Yifei Huang
Jie Yang
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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