mxnorm: Apply Normalization Methods to Multiplexed Images
Implements methods to normalize multiplexed imaging data, including
    statistical metrics and visualizations to quantify technical variation in 
    this data type. Reference for methods listed here: Harris, C., Wrobel, J., 
    & Vandekar, S. (2022). mxnorm: An R Package to Normalize Multiplexed Imaging 
    Data. Journal of Open Source Software, 7(71), 4180, 
    <doi:10.21105/joss.04180>.
| Version: | 1.1.0 | 
| Depends: | R (≥ 3.5.0) | 
| Imports: | magrittr, dplyr, rlang, fda, stats, data.table, reticulate, caret, ggplot2, tidyr, uwot, lme4, stringr, KernSmooth, kSamples, psych, fossil, methods | 
| Suggests: | knitr, janitor (≥ 2.1.0), testthat (≥ 3.0.0), rmarkdown, markdown, covr | 
| Published: | 2025-09-08 | 
| DOI: | 10.32614/CRAN.package.mxnorm | 
| Author: | Coleman Harris  [aut, cre] | 
| Maintainer: | Coleman Harris  <coleman.r.harris at vanderbilt.edu> | 
| BugReports: | https://github.com/ColemanRHarris/mxnorm/issues | 
| License: | MIT + file LICENSE | 
| URL: | https://github.com/ColemanRHarris/mxnorm | 
| NeedsCompilation: | no | 
| Materials: | README, NEWS | 
| CRAN checks: | mxnorm results | 
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