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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 
[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:
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https://CRAN.R-project.org/package=batchtma
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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.
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