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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."

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: stats
Published: 2021-06-07
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

Documentation:

Reference manual: ez.combat.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ez.combat to link to this page.

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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