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ForLion  

'ForLion' Algorithm to Find D-Optimal Designs for Experiments
View on CRAN: Click here


Download and install ForLion package within the R console
Install from CRAN:
install.packages("ForLion")

Install from Github:
library("remotes")
install_github("cran/ForLion")

Install by package version:
library("remotes")
install_version("ForLion", "0.1.0")



Attach the package and use:
library("ForLion")
Maintained by
Siting Lin
[Scholar Profile | Author Map]
First Published: 2025-02-11
Latest Update: 2025-02-11
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)<doi:10.1007/s11222-024-10465-x>.
How to cite:
Siting Lin (2025). ForLion: 'ForLion' Algorithm to Find D-Optimal Designs for Experiments. R package version 0.1.0, https://cran.r-project.org/web/packages/ForLion. Accessed 05 May. 2025.
Previous versions and publish date:
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Other packages that cited ForLion R package
View ForLion citation profile
Other R packages that ForLion depends, imports, suggests or enhances
Complete documentation for ForLion
Functions, R codes and Examples using the ForLion R package
Full ForLion package functions and examples
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