CRAN: Package batchtma

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年12月06日

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.html , batchtma.pdf

Vignettes: Get Started: Methods to address batch effects (source, R code)

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

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