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Bayesian toolbox for quantitative proteomics. In particular, this package provides functions to generate synthetic datasets, execute Bayesian differential analysis methods, and display results as, described in the associated article Marie Chion and Arthur Leroy (2023) <doi:10.48550/arXiv.2307.08975>.
Version: | 1.0.0 |
Imports: | dplyr, ggplot2, magrittr, mvtnorm, tibble, tidyr, rlang, extraDistr |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2023-07-19 |
DOI: | 10.32614/CRAN.package.ProteoBayes |
Author: | Arthur Leroy |
Maintainer: | Arthur Leroy <arthur.leroy.pro at gmail.com> |
License: | MIT + file LICENSE |
URL: | https://mariechion.github.io/ProteoBayes/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | ProteoBayes results |
Reference manual: | ProteoBayes.pdf |
Package source: | ProteoBayes_1.0.0.tar.gz |
Windows binaries: | r-devel: ProteoBayes_1.0.0.zip, r-release: ProteoBayes_1.0.0.zip, r-oldrel: ProteoBayes_1.0.0.zip |
macOS binaries: | r-release (arm64): ProteoBayes_1.0.0.tgz, r-oldrel (arm64): ProteoBayes_1.0.0.tgz, r-release (x86_64): ProteoBayes_1.0.0.tgz, r-oldrel (x86_64): ProteoBayes_1.0.0.tgz |
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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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