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batchtma: Batch Effect Adjustments

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 ORCID iD [aut, cre], Travis Gerke ORCID iD [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:

Reference manual: batchtma.pdf
Vignettes: Get Started: Methods to address batch effects

Downloads:

Package source: batchtma_0.1.6.tar.gz
Windows binaries: r-devel: batchtma_0.1.6.zip, r-release: batchtma_0.1.6.zip, r-oldrel: batchtma_0.1.6.zip
macOS binaries: r-release (arm64): batchtma_0.1.6.tgz, r-oldrel (arm64): batchtma_0.1.6.tgz, r-release (x86_64): batchtma_0.1.6.tgz, r-oldrel (x86_64): batchtma_0.1.6.tgz

Linking:

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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.