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ez.combat

Easy ComBat Harmonization

A dataframe-friendly implementation of ComBat Harmonization which uses an empirical Bayesian framework to remove batch effects. Johnson WE & Li C (2007) <doi:10.1093/biostatistics/kxj037> "Adjusting batch effects in microarray expression data using empirical Bayes methods." Fortin J-P, Cullen N, Sheline YI, Taylor WD, Aselcioglu I, Cook PA, Adams P, Cooper C, Fava M, McGrath PJ, McInnes M, Phillips ML, Trivedi MH, Weissman MM, & Shinohara RT (2017) <doi:10.1016/j.neuroimage.2017.11.024> "Harmonization of cortical thickness measurements across scanners and sites." Fortin J-P, Parker D, Tun<e7> B, Watanabe T, Elliott MA, Ruparel K, Roalf DR, Satterthwaite TD, Gur RC, Gur RE, Schultz RT, Verma R, & Shinohara RT (2017) <doi:10.1016/j.neuroimage.2017.08.047> "Harmonization of multi-site diffusion tensor imaging data."

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling source/ R- ez.combat_1.0.0.tar.gz 6.6 KiB
1.0.0 latest source/ R- ez.combat_1.0.0.tar.gz 6.6 KiB
1.0.0 2026-04-23 source/ R- ez.combat_1.0.0.tar.gz 6.6 KiB
1.0.0 2026-04-09 windows/windows R-4.5 ez.combat_1.0.0.zip 29.2 KiB

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