Package: ez.combat 1.0.0

Timothy Koscik

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."

Authors:Timothy R. Koscik [aut, cre, cph]

ez.combat_1.0.0.tar.gz
ez.combat_1.0.0.tar.gz(r-4.5-noble)ez.combat_1.0.0.tar.gz(r-4.4-noble)
ez.combat_1.0.0.tgz(r-4.4-emscripten)ez.combat_1.0.0.tgz(r-4.3-emscripten)
ez.combat.pdf |ez.combat.html
ez.combat/json (API)

# Install 'ez.combat' in R:
install.packages('ez.combat', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1 exports 6.14 score 0 dependencies 106 mentions 241 downloads

Last updated 3 years agofrom:73a0b6a55e. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-linuxOKSep 09 2024

Exports:ez.combat

Dependencies: