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.
Version: 0.1.6 Imports: broom (≥ 0.7.0), dplyr (≥ 1.0.0), geepack, ggplot2, limma, nnet, purrr (≥ 0.3.0), quantreg, rlang (≥ 0.4.0), stringr, tibble, tidyr (≥ 1.1.0), magrittr Suggests: knitr, rmarkdown, tidyverse Published: 2021-12-06 DOI: 10.32614/CRAN.package.batchtma Author: Konrad Stopsack [aut, cre], Travis Gerke [aut] Maintainer: Konrad Stopsack <stopsack at post.harvard.edu> License: GPL-3 URL: https://stopsack.github.io/batchtma/, https://github.com/stopsack/batchtma NeedsCompilation: no CRAN checks: batchtma results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=batchtma to link to this page.
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