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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."
Version: | 1.0.0 |
Depends: | R (≥ 3.5.0) |
Imports: | stats |
Published: | 2021-06-07 |
DOI: | 10.32614/CRAN.package.ez.combat |
Author: | Timothy R. Koscik [aut, cre, cph] |
Maintainer: | Timothy Koscik <timothy-koscik at uiowa.edu> |
License: | Artistic-2.0 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | ez.combat results |
Reference manual: | ez.combat.pdf |
Package source: | ez.combat_1.0.0.tar.gz |
Windows binaries: | r-devel: ez.combat_1.0.0.zip, r-release: ez.combat_1.0.0.zip, r-oldrel: ez.combat_1.0.0.zip |
macOS binaries: | r-release (arm64): ez.combat_1.0.0.tgz, r-oldrel (arm64): ez.combat_1.0.0.tgz, r-release (x86_64): ez.combat_1.0.0.tgz, r-oldrel (x86_64): ez.combat_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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