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OWEA  

Optimal Weight Exchange Algorithm for Optimal Designs for Three Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OWEA", "0.1.2")



Attach the package and use:
library("OWEA")
Maintained by
Shuai Hao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-02
Latest Update: 2022-09-17
Description:
An implementation of optimal weight exchange algorithm Yang(2013) for three models. They are Crossover model with subject dropout, crossover model with proportional first order residual effects and interference model. You can use it to find either A-opt or D-opt approximate designs. Exact designs can be automatically rounded from approximate designs and relative efficiency is provided as well.
How to cite:
Shuai Hao (2018). OWEA: Optimal Weight Exchange Algorithm for Optimal Designs for Three Models. R package version 0.1.2, https://cran.r-project.org/web/packages/OWEA. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2018-11-02 20:00), 0.1.1 (2018-11-03 16:30)
Other packages that cited OWEA R package
View OWEA citation profile
Other R packages that OWEA depends, imports, suggests or enhances
Complete documentation for OWEA
Functions, R codes and Examples using the OWEA R package
Some associated functions: OWEA . design . design_app . eff . effLB . generate_contrast . infor_design . phi . summary . verify_equiv . weight1 . weight2 . 
Some associated R codes: app.R . design.R . efficiency.R . informatrix.R . owea.R . summary.R .  Full OWEA package functions and examples
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