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:	1.0.2
Depends:	R (≥ 3.5.0)
Imports:	magrittr, dplyr, rlang, fda, stats, data.table, reticulate, caret, e1071, ggplot2, tidyr, uwot, lme4, stringr, KernSmooth, kSamples, psych, fossil, glue, methods
Suggests:	knitr, janitor (≥ 2.1.0), testthat (≥ 3.0.0), rmarkdown, markdown, covr
Published:	2022-06-01
Author:	Coleman Harris [aut, cre]
Maintainer:	Coleman Harris <coleman.r.harris at vanderbilt.edu>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	mxnorm results

Documentation:

Reference manual:	mxnorm.pdf
Vignettes:	mxnorm-vignette1

Downloads:

Package source:	mxnorm_1.0.2.tar.gz
Windows binaries:	r-devel: mxnorm_1.0.2.zip, r-release: mxnorm_1.0.2.zip, r-oldrel: mxnorm_1.0.2.zip
macOS binaries:	r-release (arm64): mxnorm_1.0.2.tgz, r-oldrel (arm64): mxnorm_1.0.2.tgz, r-release (x86_64): mxnorm_1.0.2.tgz, r-oldrel (x86_64): mxnorm_1.0.2.tgz
Old sources:	mxnorm archive

Linking:

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