Batch Effect Adjustments R package batchtma version 0.2.0 Different adjustment methods for batch effects in biomarker data, such as from tissue microarrays. Some methods attempt to retain differences between batches that may be due to between-batch differences in "biological" factors that influence biomarker values. Software Depends: R (>= 4.1.0) Imports: broom (>= 0.7.0), dplyr (>= 1.0.4), geepack, ggplot2, limma, nnet, purrr (>= 0.3.0), quantreg, rlang (>= 0.4.0), stringr, tibble, tidyr (>= 1.1.0) Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Konrad Stopsack <stopsack@post.harvard.edu> Comprehensive R Archive Network (CRAN) Konrad Stopsack [aut, cre] (ORCID: <https://orcid.org/0000-0002-0722-1311>), Travis Gerke [aut] (ORCID: <https://orcid.org/0000-0002-9500-8907>) GPL-3 2026-02-23 application/tgz https://CRAN.R-project.org/package=batchtma doi:10.32614/CRAN.package.batchtma