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ProteoBayes: Bayesian Statistical Tools for Quantitative Proteomics

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 ORCID iD [aut, cre], Marie Chion ORCID iD [aut]
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

Documentation:

Reference manual: ProteoBayes.pdf

Downloads:

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

Linking:

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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.