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Optimal Weight Exchange Algorithm for Optimal Designs for Three Models

An implementation of optimal weight exchange algorithm Yang(2013) <doi:10.1080/01621459.2013.806268> 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.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 OWEA_0.1.2.tar.gz 315.7 KiB
0.1.2 rolling linux/noble R-4.5 OWEA_0.1.2.tar.gz 315.5 KiB
0.1.2 rolling source/ R- OWEA_0.1.2.tar.gz 253.1 KiB
0.1.2 latest linux/jammy R-4.5 OWEA_0.1.2.tar.gz 315.7 KiB
0.1.2 latest linux/noble R-4.5 OWEA_0.1.2.tar.gz 315.5 KiB
0.1.2 latest source/ R- OWEA_0.1.2.tar.gz 253.1 KiB
0.1.2 2026-04-26 source/ R- OWEA_0.1.2.tar.gz 253.1 KiB
0.1.2 2026-04-23 source/ R- OWEA_0.1.2.tar.gz 253.1 KiB
0.1.2 2026-04-09 windows/windows R-4.5 OWEA_0.1.2.zip 316.8 KiB
0.1.2 2025-04-20 source/ R- OWEA_0.1.2.tar.gz 253.1 KiB

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